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<strong>Pest</strong> Management<br />

<strong>of</strong> Rice Farmers<br />

<strong>in</strong> <strong>Asia</strong><br />

Edited by<br />

K.L. Heong and<br />

M.M. Escalada<br />

1997<br />

<strong>IRRI</strong><br />

INTERNATIONAL RICE RESEARCH INSTITUTE


The <strong>International</strong> Rice Research Institute (<strong>IRRI</strong>) was established <strong>in</strong> 1960<br />

by the Ford and Rockefeller Foundations with the help and approval <strong>of</strong> the<br />

Government <strong>of</strong> the Philipp<strong>in</strong>es. Today <strong>IRRI</strong> is one <strong>of</strong> 16 nonpr<strong>of</strong>it <strong>in</strong>temational<br />

research centers supported by the Consultative Group on <strong>International</strong><br />

Agricultural Research (CGIAR). The CGIAR is cosponsored by the<br />

Food and Agriculture Organization <strong>of</strong> the United Nations (FAO), the <strong>International</strong><br />

Bank for Reconstruction and Development (World Bank). the United<br />

Nations Development Programme (UNDP), and the United Nations Environment<br />

Programme (UNEP). Its membership comprises donor countries,<br />

<strong>in</strong>ternational and regional organizations, and private foundations.<br />

As listed <strong>in</strong> its most recent Corporate Report, <strong>IRRI</strong> receives support,<br />

through the CGIAR, from a number <strong>of</strong> donors <strong>in</strong>clud<strong>in</strong>g UNDP, World<br />

Bank, European Union, <strong>Asia</strong>n Development Bank, and Rockefeller Foundation,<br />

and the <strong>in</strong>ternational aid agencies <strong>of</strong> the follow<strong>in</strong>g governments:<br />

Australia, Belgium, Canada, People’s Republic <strong>of</strong> Ch<strong>in</strong>a, Denmark, France,<br />

Germany, India, Indonesia, Islamic Republic <strong>of</strong> Iran, Japan, Republic <strong>of</strong><br />

Korea, The Netherlands, Norway, Philipp<strong>in</strong>es, Spa<strong>in</strong>, Sweden, Switzerland,<br />

United K<strong>in</strong>gdom, and United States.<br />

The responsibility for this publication rests with the <strong>International</strong><br />

Rice Research Institute.<br />

The designations employed <strong>in</strong> the presentation <strong>of</strong> the material <strong>in</strong><br />

this publication do not imply the expression <strong>of</strong> any op<strong>in</strong>ion whatsoever on<br />

the part <strong>of</strong> <strong>IRRI</strong> concern<strong>in</strong>g the legal status <strong>of</strong> any country, territory, city, or<br />

area, or <strong>of</strong> its authorities, or the delimitation <strong>of</strong> its frontiers or boundaries.<br />

Copyright <strong>International</strong> Rice Research Institute 1997<br />

Los Baños, Philipp<strong>in</strong>es<br />

Mail<strong>in</strong>g address: P.O. Box 933, Manila 1099, Philipp<strong>in</strong>es<br />

Phone: (63-2) 845-0563, 844-3351 to 53<br />

Fax: (63-2) 891-1292, 845-0606<br />

Email:<br />

Postmaster@<strong>IRRI</strong>.CGNET.COM<br />

Telex:<br />

(ITT) 40890 Rice PM; (CWI) 14519 IRILB PS<br />

Cable:<br />

RICEFOUND MANILA<br />

Home page: http://www.cgiar.org/irri<br />

Riceweb: http://www.<strong>rice</strong>web.org<br />

Riceworld: http://www.<strong>rice</strong>world.org<br />

Courier address: Suite 1009, Pacific Bank Build<strong>in</strong>g<br />

6776 Ayala Avenue, Makati<br />

Metro Manila, Philipp<strong>in</strong>es<br />

Tel. (63-2) 891-1236, 891-1174, 891-1258, 891-1303<br />

Suggested citation:<br />

Heong KL, Escalada MM, editors. 1997. <strong>Pest</strong> <strong>management</strong> <strong>of</strong> <strong>rice</strong> <strong>farmers</strong><br />

<strong>in</strong> <strong>Asia</strong>. Manila (Philipp<strong>in</strong>es): <strong>International</strong> Rice Research Institute. 245 p.<br />

EDITORS: Bill Hardy, Carolyn Dedolph<br />

EDITORIAL ASSISTANCE: Rogelio R. Qu<strong>in</strong>tos, Crisanta Culala<br />

LAYOUT AND DESIGN: Ariel Paelmo<br />

FIGURES AND ILLUSTRATIONS: Ariel Paelmo<br />

COVER DESIGN: Juan Lazaro IV<br />

ISBN 971-22-0102-3


Contents<br />

FOREWORD<br />

Kenneth S. Fischer<br />

PREFACE<br />

K.L. Heong, M.M. Escalada<br />

ACKNOWLEDGMENTS<br />

v<br />

vii<br />

ix<br />

CHAPTER 1<br />

Methods for research on <strong>farmers</strong>' knowledge, attitudes,<br />

and practices <strong>in</strong> pest <strong>management</strong><br />

M. M. Escalada and K. L. Heong<br />

CHAPTER 2<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> lowland <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Cambodia<br />

G.C. Jahn, P. Sophea, K. Bunnarith, and P. Chanthy<br />

CHAPTER 3<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Hunan, Ch<strong>in</strong>a<br />

Li Shae Sho, Guo Yu-Jie, Hu Guo-Wen, and Liang Di-Yun<br />

CHAPTER 4<br />

The role <strong>of</strong> women <strong>in</strong> <strong>rice</strong> pest <strong>management</strong> <strong>in</strong> Zhejiang, Ch<strong>in</strong>a<br />

Hu Ruifa, Cheng Jiaan, Dong Shouzhen, and Sun Y<strong>in</strong>y<strong>in</strong><br />

CHAPTER 5<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Tamil Nadu, India<br />

S.D. Sivakumar, S.R. Subramanian, S. Suresh, and M. Gopalan<br />

CHAPTER 6<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> West Java, Indonesia<br />

S. Kartaatmadja, J. Soejitno, and I.P. Wardana<br />

1<br />

35<br />

53<br />

63<br />

75<br />

87<br />

iii


CHAPTER 7<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> the ra<strong>in</strong>fed lowland<br />

environment <strong>of</strong> the Lao PDR<br />

H.R. Rapusas, J.M. Schiller, and V. Sengsoulivong<br />

CHAPTER 8<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> the Muda and<br />

Kemubu irrigation schemes <strong>in</strong> pen<strong>in</strong>sular Malaysia<br />

R. Normiyah and P.M. Chang<br />

CHAPTER 9<br />

Farmers' perceptions <strong>of</strong> <strong>rice</strong> tungro disease <strong>in</strong> the Philipp<strong>in</strong>es<br />

H. Warburton, EL. Palis, and S. Villareal<br />

CHAPTER 10<br />

Weed <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Iloilo, Philipp<strong>in</strong>es<br />

K. Moody, M. M. Escalada, and K. L. Heong<br />

CHAPTER 11<br />

<strong>Pest</strong> <strong>management</strong> perceptions and practices <strong>of</strong> <strong>farmers</strong> grow<strong>in</strong>g <strong>rice</strong><br />

and vegetables <strong>in</strong> Nueva Ecija, Philipp<strong>in</strong>es<br />

K. L. Heong, A.A. Lazaro, and G. W. Norton<br />

CHAPTER 12<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Sri Lanka<br />

L. Nugaliyadde, T. Hidaka, and M.P. Dhanapala<br />

CHAPTER 13<br />

Farmers' perceptions and practices <strong>in</strong> weed <strong>management</strong> <strong>in</strong> Thailand<br />

L. Meenakanit and P. Vongsaroj<br />

CHAPTER 14<br />

The chang<strong>in</strong>g role <strong>of</strong> women <strong>in</strong> <strong>rice</strong> pest <strong>management</strong> <strong>in</strong> central Thailand<br />

L. Meenakanit, M.M. Escalada, and K.L. Heong<br />

CHAPTER 15<br />

<strong>Pest</strong> <strong>management</strong> perceptions and practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong><br />

<strong>in</strong> Long An Prov<strong>in</strong>ce, Vietnam<br />

Vo Mai, N. H. Huan, K. L. Heong, M.M. Escalada, and A.A. Lazaro<br />

CHAPTER 16<br />

A comparative analysis <strong>of</strong> pest <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong><br />

K. L. Heong and M.M. Escalada<br />

99<br />

115<br />

129<br />

143<br />

161<br />

171<br />

185<br />

201<br />

215<br />

227<br />

iv<br />

Contents


Foreword<br />

<strong>IRRI</strong> researchers have carried out <strong>in</strong>tensive studies for many years <strong>in</strong> different <strong>rice</strong><br />

ecosystems on <strong>in</strong>teractions among plants and their pests and predators. The economic<br />

and health impacts <strong>of</strong> various control tactics have also been <strong>in</strong>vestigated. Based on<br />

these f<strong>in</strong>d<strong>in</strong>gs, <strong>IRRI</strong> strongly endorses <strong>in</strong>tegrated pest <strong>management</strong> (IPM) based on<br />

ecological pr<strong>in</strong>ciples <strong>in</strong> which natural mechanisms and processes, <strong>in</strong>clud<strong>in</strong>g hostplant<br />

resistance, are fully exploited to reduce economic and yield losses to <strong>farmers</strong>.<br />

<strong>IRRI</strong> works closely with national and <strong>in</strong>ternational organizations to promote and<br />

implement IPM by generat<strong>in</strong>g the knowledge needed, <strong>in</strong>clud<strong>in</strong>g an understand<strong>in</strong>g <strong>of</strong><br />

<strong>farmers</strong>’ decision-mak<strong>in</strong>g processes.<br />

One <strong>of</strong> the goals <strong>of</strong> IPM is to eventually have a place <strong>in</strong> susta<strong>in</strong>able agricultural<br />

systems with m<strong>in</strong>imal or no synthetic <strong>in</strong>puts. <strong>IRRI</strong> agrees with this goal and believes<br />

that <strong>farmers</strong> need to be given <strong>in</strong>formation to make decisions on pest <strong>management</strong><br />

techniques, and therefore supports policy changes that contribute to this empowerment.<br />

In its cont<strong>in</strong>u<strong>in</strong>g effort to reduce pesticide misuse, <strong>IRRI</strong> embarked on a series <strong>of</strong><br />

studies to understand <strong>farmers</strong>’ pest <strong>management</strong> knowledge, attitudes. and practices<br />

<strong>in</strong> <strong>Asia</strong>. This research was designed and conducted through partnerships with national<br />

agricultural scientists. The primary objective was to listen to <strong>farmers</strong> and understand<br />

the various factors that constra<strong>in</strong> pest <strong>management</strong> decisions and practices<br />

on-farm. Some critics argue that despite the flurry <strong>of</strong> research <strong>in</strong> pest <strong>management</strong>,<br />

<strong>farmers</strong>’ decisions and practices <strong>in</strong> the past three decades have rema<strong>in</strong>ed relatively<br />

unchanged. In the past, limited attention was given to <strong>farmers</strong>’ practices. This collaborative<br />

research, coord<strong>in</strong>ated by <strong>IRRI</strong>, represents a unique <strong>in</strong>tegration <strong>of</strong> discipl<strong>in</strong>es<br />

to address the issue, <strong>in</strong>volv<strong>in</strong>g entomologists, plant pathologists, weed scientists,<br />

economists, and sociologists. Through a better understand<strong>in</strong>g <strong>of</strong> how pest <strong>management</strong><br />

decisions are made and how new research <strong>in</strong>formation and practices can be<br />

communicated, scientists can focus on develop<strong>in</strong>g more appropriate tools, methods,<br />

and systems that are ecologically and economically sound for <strong>farmers</strong> to manage<br />

diverse pest species. This book, which describes various methods used and reports the<br />

v


f<strong>in</strong>d<strong>in</strong>gs <strong>of</strong> research carried out <strong>in</strong> 10 countries <strong>in</strong> <strong>Asia</strong>, will also serve as a basel<strong>in</strong>e<br />

for researchers to evaluate change.<br />

<strong>IRRI</strong> is grateful to the Swiss Agency for Development and Cooperation (SDC)<br />

for f<strong>in</strong>ancial support for the Rice Integrated <strong>Pest</strong> Management Network, which coord<strong>in</strong>ated<br />

this research. The research was carried out by participants <strong>in</strong> national agricultural<br />

research and extension systems, and we are grateful for their commitment to this<br />

partnership.<br />

KENNETH S. FISCHER<br />

Deputy Director General for Research<br />

vi Foreword


Preface<br />

The theories and research underly<strong>in</strong>g <strong>in</strong>tegrated pest <strong>management</strong> (IPM) <strong>in</strong> <strong>rice</strong> have<br />

been well documented over the years <strong>in</strong> the scientific literature. Information about<br />

current knowledge, attitudes, perceptions, and practices related to the pest <strong>management</strong><br />

<strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong>, however, was relatively nonexistent. This book helps to<br />

bridge that gap by provid<strong>in</strong>g the miss<strong>in</strong>g <strong>in</strong>formation from <strong>farmers</strong>’ perspectives.<br />

In a sense, this volume is a report from <strong>farmers</strong> <strong>in</strong> the field, recorded through pest<br />

<strong>management</strong> researchers. These pr<strong>of</strong>essionals report on current practices <strong>of</strong> <strong>farmers</strong><br />

and the predicaments they face. The researchers also share <strong>farmers</strong>’ <strong>in</strong>sights, experiences,<br />

views, and recommendations for the future.<br />

Experienced researchers and extension specialists from around <strong>Asia</strong> wrote the<br />

chapters <strong>in</strong> this book. They carried out the surveys themselves, spend<strong>in</strong>g numerous<br />

hours with <strong>farmers</strong> to observe their practices and discuss their pest-related problems.<br />

We have targeted four specific audiences for this volume:<br />

• Researchers and extension specialists <strong>in</strong> pest <strong>management</strong> or related fields<br />

who direct or are <strong>in</strong>volved <strong>in</strong> studies <strong>of</strong> <strong>farmers</strong>’ knowledge, attitudes, and<br />

practices.<br />

• Academics and tra<strong>in</strong>ers who prepare others to design and conduct farmer surveys<br />

or to use the results.<br />

• Extension workers who carry out pest <strong>management</strong> efforts, conduct farmer<br />

tra<strong>in</strong><strong>in</strong>g programs, and design communication materials.<br />

• Agricultural adm<strong>in</strong>istrators and policymakers who design and implement national<br />

or regional policies related to pest <strong>management</strong>.<br />

The chapters have been developed from a series <strong>of</strong> surveys and authors’ personal<br />

<strong>in</strong>terviews with <strong>farmers</strong> <strong>in</strong> 10 <strong>Asia</strong>n countries: Cambodia, Ch<strong>in</strong>a, India, Indonesia,<br />

Lao PDR, Malaysia, the Philipp<strong>in</strong>es, Sri Lanka, Thailand, and Vietnam.<br />

The first chapter discusses the methods used <strong>in</strong> study<strong>in</strong>g <strong>farmers</strong>’ knowledge,<br />

attitudes, and practices, draw<strong>in</strong>g on the lessons learned <strong>in</strong> conduct<strong>in</strong>g on-farm surveys,<br />

focus group <strong>in</strong>terviews, and personal <strong>in</strong>terviews. The next two chapters exam<strong>in</strong>e<br />

farmer pest <strong>management</strong> practices <strong>in</strong> Cambodia and Hunan Prov<strong>in</strong>ce <strong>in</strong> Ch<strong>in</strong>a.<br />

vii


Chapter 4 features the role <strong>of</strong> Ch<strong>in</strong>ese women <strong>in</strong> pest <strong>management</strong> <strong>in</strong> Zhejiang Prov<strong>in</strong>ce.<br />

Chapters 5, 6, and 7 describe general farmer practices <strong>in</strong> Tamil Nadu, India; West<br />

Java, Indonesia; and the ra<strong>in</strong>fed lowlands <strong>of</strong> Lao PDR. In Chapter 8, the Malaysian<br />

authors compare pest <strong>management</strong> <strong>of</strong> <strong>farmers</strong> from two irrigation schemes, draw<strong>in</strong>g<br />

on similarities and differences. The next three chapters focus on the Philipp<strong>in</strong>es, featur<strong>in</strong>g<br />

<strong>farmers</strong>’ perceptions <strong>of</strong> the viral disease tungro, weed <strong>management</strong> practices <strong>in</strong><br />

Iloilo, and a comparison <strong>of</strong> farmer practices <strong>in</strong> both <strong>rice</strong> and vegetables <strong>in</strong> San Jose.<br />

Chapter 12 discusses <strong>rice</strong> <strong>farmers</strong>’ pest <strong>management</strong> practices <strong>in</strong> Sri Lanka and<br />

Chapter 13 features the weed <strong>management</strong> <strong>of</strong> <strong>farmers</strong> <strong>in</strong> Central Thailand. Chapter 14<br />

discusses the chang<strong>in</strong>g role <strong>of</strong> women <strong>farmers</strong> as they beg<strong>in</strong> to take on more farm<strong>in</strong>g<br />

responsibilities. Chapter 15 presents details <strong>of</strong> <strong>farmers</strong>’ pest <strong>management</strong> perceptions<br />

and practices <strong>in</strong> Long An Prov<strong>in</strong>ce, Vietnam. F<strong>in</strong>ally, <strong>in</strong> Chapter 16, a comparative<br />

analysis <strong>of</strong> practices, perceptions, and changes anticipated is given.<br />

K.L. HEONG<br />

M.M. ESCALADA<br />

viii Preface


Acknowledgments<br />

We are delighted to have had the opportunity to prepare this volume. Between 1990<br />

and 1996, the Swiss Agency for Development and Cooperation (SDC) funded the<br />

Rice IPM Network, which was coord<strong>in</strong>ated by the <strong>International</strong> Rice Research Institute<br />

(<strong>IRRI</strong>). Through this Network, a series <strong>of</strong> workshops was held dur<strong>in</strong>g which<br />

researchers developed and ref<strong>in</strong>ed <strong>in</strong>struments to measure <strong>farmers</strong>’ knowledge, attitudes,<br />

and practices. After pretest<strong>in</strong>g these <strong>in</strong>struments, researchers implemented surveys,<br />

the results <strong>of</strong> which are reported here. The Network provided partial funds for<br />

all the surveys except for those conducted <strong>in</strong> Cambodia, Sri Lanka, and San Jose,<br />

Nueva Ecija, Philipp<strong>in</strong>es.<br />

Many people we have worked with over the years have contributed greatly to our<br />

understand<strong>in</strong>g <strong>of</strong> <strong>farmers</strong>’ pest <strong>management</strong> and deserve to be acknowledged. Among<br />

them are Dr. Hans Peter Mag, Mr. Jurgen Benz, and Ms. Christ<strong>in</strong>e Grieder <strong>of</strong> SDC,<br />

who provided their support for the Rice IPM Network; Dr. Klaus Lampe, former<br />

<strong>IRRI</strong> director general, for his leadership <strong>in</strong> foster<strong>in</strong>g an appropriate environment <strong>in</strong><br />

which to pursue the research; Dr. Ken Fischer, <strong>IRRI</strong> deputy director general for research,<br />

for his encouragement and contributions <strong>in</strong> discussions; Dr. Dale Bottrell,<br />

former head <strong>of</strong> the <strong>IRRI</strong> Entomology Division, and Dr. T.W. Mew, head <strong>of</strong> the <strong>IRRI</strong><br />

Entomology and Plant Pathology Division, for their leadership and encouragement;<br />

and Dr. Sam Fujisaka, anthropologist, for teach<strong>in</strong>g us how to talk and listen to <strong>farmers</strong>.<br />

We are grateful to the contributors who dedicated their time to do the research,<br />

analyze the data, and write the papers. Our thanks also go to the respective directors<br />

general and heads <strong>of</strong> departments <strong>of</strong> the collaborat<strong>in</strong>g <strong>in</strong>stitutions for permitt<strong>in</strong>g their<br />

staff members to contribute to this book, to Ms. Amor Lazaro, who assisted <strong>in</strong> data<br />

<strong>management</strong> and reanalysis <strong>in</strong> many manuscripts, to Ms. Elena Genil, who typed many<br />

<strong>of</strong> the manuscripts, and to the many enumerators who helped gather the data.<br />

Last but not least, we express our s<strong>in</strong>cere gratitude to the thousands <strong>of</strong> <strong>farmers</strong><br />

who responded to the survey questions.<br />

ix


CHAPTER 1<br />

Methods for research on <strong>farmers</strong>’<br />

knowledge, attitudes, and practices<br />

<strong>in</strong> pest <strong>management</strong><br />

M.M. Escalada and K.L. Heong<br />

If researchers are to design appropriate improvements <strong>in</strong> pest <strong>management</strong>,<br />

they must understand why <strong>farmers</strong> do the th<strong>in</strong>gs they do.<br />

The most common methods used to obta<strong>in</strong> this <strong>in</strong>formation <strong>in</strong>clude<br />

rapid rural appraisals, key <strong>in</strong>formant <strong>in</strong>terviews, focus group <strong>in</strong>terviews,<br />

and farmer surveys. If properly planned and executed, these<br />

methods can be cost-effective ways to obta<strong>in</strong> data for sett<strong>in</strong>g research<br />

priorities and design<strong>in</strong>g <strong>in</strong>tervention strategies to improve<br />

<strong>farmers</strong>’ pest <strong>management</strong> decision mak<strong>in</strong>g.<br />

The key <strong>in</strong>formant <strong>in</strong>terview <strong>in</strong>volves talk<strong>in</strong>g to knowledgeable<br />

persons to provide background <strong>in</strong>formation needed for design<strong>in</strong>g a<br />

survey. The focus group <strong>in</strong>terview, a directed group discussion with<br />

various sectors <strong>of</strong> a population, can be used to obta<strong>in</strong> <strong>in</strong>sights <strong>in</strong>to<br />

<strong>farmers</strong>’ perceptions and concerns and to probe the issues that<br />

emerged dur<strong>in</strong>g a key <strong>in</strong>formant <strong>in</strong>terview. The farmer survey comprises<br />

problem identification, questionnaire development, pretest<strong>in</strong>g,<br />

sampl<strong>in</strong>g, fieldwork, data process<strong>in</strong>g, and analysis. It can be<br />

used to improve problem def<strong>in</strong>ition, to raise further questions, and<br />

to answer others.<br />

Introduction<br />

Research and development <strong>in</strong> pest <strong>management</strong> does not always lead to improved<br />

practices. In the case <strong>of</strong> <strong>rice</strong>, <strong>farmers</strong>’ practices have changed little dur<strong>in</strong>g the past<br />

three decades, although research advancements have occurred (Brader 1979, Heong<br />

and Sogawa 1994, Heong 1996). Accord<strong>in</strong>g to Norton and Mumford (1993), this<br />

phenomenon may be attributed to two ma<strong>in</strong> problems. First, research and development<br />

may be aimed at answer<strong>in</strong>g the wrong questions or at develop<strong>in</strong>g <strong>in</strong>appropriate<br />

practices: a design problem. Second, research and development may be well targeted,<br />

but the results are not gett<strong>in</strong>g through to be implemented by <strong>farmers</strong>: a delivery problem.<br />

1


<strong>Pest</strong> organisms are sometimes fasc<strong>in</strong>at<strong>in</strong>g subjects that can lead to research driven<br />

by scientific curiosity — rather than the quest to solve problems. Although some basic<br />

research can result <strong>in</strong> <strong>in</strong>novations, they must still be applied with<strong>in</strong> <strong>farmers</strong>’ contexts.<br />

Perhaps the low success rate <strong>of</strong> efforts to improve <strong>farmers</strong>’ pest <strong>management</strong> may be<br />

because the problem <strong>of</strong> implementation is not seen as an <strong>in</strong>tegral part <strong>of</strong> the general<br />

research and development agenda <strong>of</strong> design<strong>in</strong>g appropriate improvements <strong>in</strong> pest<br />

<strong>management</strong> (Norton and Heong 1988). The need — for both researchers and extension<br />

workers — to understand why <strong>farmers</strong> do the th<strong>in</strong>gs they do has been translated<br />

<strong>in</strong>to several research procedures (Byerlee et al 1980, Coll<strong>in</strong>son 1984, Conway 1985,<br />

Norton and Mumford 1993, Merrill-Sands and Collion 1993). These procedures emphasize<br />

identify<strong>in</strong>g the key questions by describ<strong>in</strong>g major components and relationships<br />

<strong>in</strong>volved <strong>in</strong> the problem.<br />

Farmer surveys are used to improve problem def<strong>in</strong>ition, to raise further questions,<br />

and to answer others. Other techniques have been used to complement farmer<br />

surveys, such as the rapid rural appraisal and historical and seasonal <strong>in</strong>formation, as<br />

have other participatory approaches, such as problem specification workshops. Dur<strong>in</strong>g<br />

these workshops, stakeholders exchange knowledge and experience to determ<strong>in</strong>e<br />

pest problems, identify areas to work on, and develop action plans for address<strong>in</strong>g the<br />

problems (Bilston et al 1997).<br />

This chapter describes farmer surveys and the various techniques that researchers<br />

are us<strong>in</strong>g to obta<strong>in</strong> <strong>in</strong>formation about <strong>farmers</strong>’ knowledge, attitudes, and practices,<br />

and the reasons for not implement<strong>in</strong>g new practices endorsed by research results.<br />

A farmer survey is an important data-gather<strong>in</strong>g process for assess<strong>in</strong>g the needs <strong>of</strong><br />

<strong>in</strong>tended beneficiaries to determ<strong>in</strong>e their knowledge and perceptions <strong>of</strong> a pest problem,<br />

their constra<strong>in</strong>ts <strong>in</strong> deal<strong>in</strong>g with the problem, and their attitudes and practices <strong>in</strong><br />

pest <strong>management</strong>. The role <strong>of</strong> such surveys is to determ<strong>in</strong>e the nature <strong>of</strong> farmer practices<br />

that can guide both research and extension work. If carefully designed and implemented,<br />

farmer surveys can identify gaps <strong>in</strong> knowledge, misconceptions, or <strong>in</strong>appropriate<br />

practices that need to be addressed by research (Bentley and Andrews 1996).<br />

The scope <strong>of</strong> a farmer survey need not be limited to <strong>farmers</strong>' pest <strong>management</strong> knowledge,<br />

attitudes, and practices, but it could also cover aspects such as decision-mak<strong>in</strong>g<br />

patterns, agronomic practices, and socioeconomic pr<strong>of</strong>iles.<br />

Farmer surveys, also referred to as basel<strong>in</strong>e surveys or knowledge-attitude-practice<br />

surveys, have been done <strong>in</strong> recent years <strong>in</strong> Food and Agriculture Organization <strong>of</strong><br />

the United Nations (FAO)-supported strategic extension campaigns <strong>in</strong> <strong>Asia</strong>, Africa,<br />

and the Caribbean. Topics covered weed <strong>management</strong>, pest surveillance, rat control,<br />

golden snail <strong>management</strong>, temperate fruit crop cultivation, and maize production<br />

(Adhikarya 1994). The data derived from such surveys have been used to def<strong>in</strong>e problems,<br />

plan programs, design strategic extension messages, and serve as benchmark<br />

data for a subsequent summative evaluation. Besides its use <strong>in</strong> extension plann<strong>in</strong>g,<br />

the knowledge-attitude-practice survey can serve as a diagnostic tool to identify the<br />

real problem and decide whether an extension campaign is a suitable solution. A<br />

2 Escalada and Heong


Fig. 1. Us<strong>in</strong>g a survey on knowledge, attitudes, and practices to explore<br />

solutions <strong>in</strong> an extension approach.<br />

series <strong>of</strong> exploratory questions to help <strong>in</strong> mak<strong>in</strong>g decisions us<strong>in</strong>g knowledge-attitudepractice<br />

surveys is provided (Fig. 1).<br />

Methods to solicit farmer <strong>in</strong>formation<br />

Surveys tend to generate quantitative <strong>in</strong>formation that is only surface-deep; they should<br />

therefore be complemented with more sensitive and <strong>in</strong>-depth methods (Chambers<br />

1983, Bentley and Andrews 1996). Informal qualitative methods, such as diagnostic<br />

surveys, focus group <strong>in</strong>terviews, and key <strong>in</strong>formant <strong>in</strong>terviews, have been employed<br />

<strong>in</strong> some <strong>of</strong> the more <strong>in</strong>novative and cost-effective farmer surveys. In most cases, a<br />

diagnostic survey and key <strong>in</strong>formant <strong>in</strong>terviews <strong>of</strong>ten precede a formal basel<strong>in</strong>e survey<br />

(Fujisaka 1991). These activities help structure the subsequent formal survey and<br />

ensure that it is focused and appropriate <strong>in</strong> the local context.<br />

Table 1 outl<strong>in</strong>es the ma<strong>in</strong> features <strong>of</strong> data collection methods (key <strong>in</strong>formant<br />

<strong>in</strong>terview, focus group <strong>in</strong>terview, and formal survey) used to complement a farmer<br />

survey accord<strong>in</strong>g to objectives, sampl<strong>in</strong>g procedure, type <strong>of</strong> <strong>in</strong>strument, data collection<br />

method, and data process<strong>in</strong>g and analysis.<br />

Issues that may emerge dur<strong>in</strong>g a key <strong>in</strong>formant <strong>in</strong>terview can be probed <strong>in</strong> the<br />

focus group <strong>in</strong>terview. While the key <strong>in</strong>formant <strong>in</strong>terview can provide leads, the focus<br />

group <strong>in</strong>terview can be used to clarify po<strong>in</strong>ts raised and explore whether there is a<br />

consensus on the concerns voiced by key <strong>in</strong>formants. The research areas can be probed<br />

<strong>in</strong> focus groups to help generate ideas and develop hypotheses that will then be fully<br />

assessed <strong>in</strong> the larger, quantitative study. For example, <strong>in</strong> plann<strong>in</strong>g a major national<br />

Methods for research on <strong>farmers</strong>' knowledge, attitudes, and practices <strong>in</strong> pest <strong>management</strong> 3


Table 1. Differences among data collection methods.<br />

Steps<br />

Key <strong>in</strong>formant<br />

<strong>in</strong>terview<br />

Focus group<br />

<strong>in</strong>terview<br />

Formal survey<br />

Objective Explore related Get a consensus Determ<strong>in</strong>e levels<br />

<strong>in</strong>sights<br />

<strong>of</strong> knowledge,<br />

attitudes, and<br />

practices<br />

Sampl<strong>in</strong>g Purposive Purposive Random<br />

procedure<br />

Instrument Guide questions Interview guide Structured<br />

questionnaire<br />

Data Unstructured Group discussion Structured<br />

collection personal <strong>in</strong>terview personal<br />

<strong>in</strong>terview<br />

Data Ma<strong>in</strong>ly qualitative Ma<strong>in</strong>ly qualitative Ma<strong>in</strong>ly<br />

process<strong>in</strong>g<br />

quantitative<br />

and analysis<br />

survey on <strong>farmers</strong>’ knowledge, attitudes, and practices related to weed <strong>management</strong>,<br />

separate focus groups might be conducted with <strong>farmers</strong> to identify key issues. Focus<br />

groups could help researchers generate hypotheses and develop the word<strong>in</strong>g for specific<br />

questions to be used <strong>in</strong> a formal survey.<br />

Key <strong>in</strong>formant <strong>in</strong>terviews<br />

Used as a tool to explore related issues and problems associated with a given topic, a<br />

key <strong>in</strong>formant <strong>in</strong>terview <strong>in</strong>volves talk<strong>in</strong>g to persons such as extension workers, key<br />

<strong>farmers</strong>, local government <strong>of</strong>ficials, traders, and community leaders who know the<br />

area or certa<strong>in</strong> aspects <strong>of</strong> the problem (Jimenez 1985). From these key <strong>in</strong>formants,<br />

researchers can obta<strong>in</strong> <strong>in</strong>formation about the most important production problems,<br />

cropp<strong>in</strong>g patterns, ra<strong>in</strong>fall distribution, and other relevant topics that can help them<br />

make decisions on subsequent activities. Tak<strong>in</strong>g an unstructured <strong>in</strong>terview approach,<br />

this type <strong>of</strong> <strong>in</strong>terview enables the researcher to ga<strong>in</strong> new <strong>in</strong>sights, raise questions, and<br />

exam<strong>in</strong>e phenomena from different perspectives (Bogdan and Taylor 1975, Okamura<br />

1985). These <strong>in</strong>formal <strong>in</strong>terviews are useful for provid<strong>in</strong>g background <strong>in</strong>formation<br />

for def<strong>in</strong><strong>in</strong>g the issues to be addressed by a formal survey and as a guide for develop<strong>in</strong>g<br />

a more structured questionnaire (Bryman 1988, Siebert 1973). An <strong>in</strong>terview guide<br />

that conta<strong>in</strong>s questions to gather <strong>in</strong>formation relevant to a certa<strong>in</strong> issue may be used<br />

to carry out the key <strong>in</strong>formant <strong>in</strong>terview.<br />

4 Escalada and Heong


Focus group <strong>in</strong>terviews<br />

The focus group <strong>in</strong>terview is a qualitative research technique orig<strong>in</strong>ally developed to<br />

give market<strong>in</strong>g researchers a better understand<strong>in</strong>g <strong>of</strong> the data from quantitative consumer<br />

surveys. As an <strong>in</strong>dispensable tool for market<strong>in</strong>g researchers (Krueger 1988),<br />

the focus group <strong>in</strong>terview has become extremely popular because it provides a fast<br />

way to learn from the target audience (Debus 1988, US Department <strong>of</strong> Health and<br />

Human Services 1980). This technique is a rapid assessment, semistructured datagather<strong>in</strong>g<br />

method <strong>in</strong> which a purposively selected set <strong>of</strong> participants gathers to discuss<br />

issues and concerns based on a list <strong>of</strong> key themes drawn up by the researcher or<br />

facilitator (Kumar 1987). Market<strong>in</strong>g and media studies have shown that the focus<br />

group <strong>in</strong>terview is a cost-effective technique for elicit<strong>in</strong>g views and op<strong>in</strong>ions <strong>of</strong> prospective<br />

clients, customers, and end-users. In agriculture, these <strong>in</strong>terviews have been<br />

used to obta<strong>in</strong> <strong>in</strong>sights <strong>in</strong>to target audience perceptions, needs, problems, beliefs, and<br />

reasons for certa<strong>in</strong> practices.<br />

The focus group <strong>in</strong>terview guide. To keep the session on track while allow<strong>in</strong>g<br />

respondents to talk freely and spontaneously, the facilitator uses an <strong>in</strong>terview guide<br />

that lists the ma<strong>in</strong> topics or themes to be covered <strong>in</strong> the session. It serves as a road<br />

map that guides the facilitator <strong>in</strong> cover<strong>in</strong>g the list <strong>of</strong> topics and <strong>in</strong> keep<strong>in</strong>g the discussion<br />

on track. The number <strong>of</strong> items <strong>in</strong> the guide is generally kept to a m<strong>in</strong>imum to<br />

leave enough time for <strong>in</strong>-depth discussion. It should focus only on relevant research<br />

issues. The sequence <strong>of</strong> topics <strong>in</strong> the guide usually moves from general to specific.<br />

The follow<strong>in</strong>g steps are suggested for develop<strong>in</strong>g the focus <strong>in</strong>terview guide:<br />

1. Specify the objectives and <strong>in</strong>formation needs <strong>of</strong> the focus group <strong>in</strong>terview.<br />

Example<br />

To determ<strong>in</strong>e <strong>farmers</strong>’ reasons for follow<strong>in</strong>g certa<strong>in</strong> weed <strong>management</strong> practices.<br />

2. Break down the major topics <strong>in</strong>to discussion po<strong>in</strong>ts or themes.<br />

Example<br />

a) Reasons for us<strong>in</strong>g weed <strong>management</strong> options<br />

• chemical<br />

• cultural<br />

• mechanical<br />

• biological<br />

b) Reasons for nonadoption <strong>of</strong> nonchemical weed <strong>management</strong> options<br />

c) Reasons for apply<strong>in</strong>g water <strong>management</strong> at particular crop stages to control<br />

weeds<br />

3. Prepare probe questions.<br />

Example<br />

a) Let’s talk about the reasons <strong>farmers</strong> use certa<strong>in</strong> weed <strong>management</strong> practices<br />

<strong>in</strong> this district. Why do <strong>farmers</strong> prefer to use herbicides <strong>in</strong>stead <strong>of</strong><br />

nonchemical options?<br />

b) Do you know <strong>of</strong> <strong>farmers</strong> <strong>in</strong> your area who do not practice weed control? In<br />

your op<strong>in</strong>ion, what are the reasons these <strong>farmers</strong> do not like to control<br />

weeds <strong>in</strong> their <strong>rice</strong>field?<br />

Methods for research on <strong>farmers</strong>’ knowledge, attitudes, and practices <strong>in</strong> pest <strong>management</strong> 5


4. Review the guide and elim<strong>in</strong>ate any irrelevant questions.<br />

Ask<strong>in</strong>g questions dur<strong>in</strong>g focus groups. The quality <strong>of</strong> questions asked <strong>in</strong> a focus<br />

group can make a large difference <strong>in</strong> the k<strong>in</strong>d <strong>of</strong> <strong>in</strong>formation obta<strong>in</strong>ed. Krueger (1988)<br />

gives some tips on how to handle open-ended and dichotomous questions <strong>in</strong> these<br />

<strong>in</strong>terviews.<br />

Open-ended questions are most appropriate at the start <strong>of</strong> the discussion because<br />

they allow participants to answer from different angles. As the possible responses are<br />

not preconceived, open-ended questions give the participants opportunities to express<br />

their thoughts and feel<strong>in</strong>gs based on their specific situations. Krueger warns that some<br />

questions may appear to be open-ended but are really closed-ended because they <strong>in</strong>clude<br />

phrases such as “satisfied,” “to what extent,” and “how much.”<br />

Dichotomous questions are ones that can be answered with a “yes” or “no” or<br />

other similar two-alternative choice. As yes-no questions are dead ends, they usually<br />

do not trigger the desired group discussion. They also tend to elicit vague responses<br />

that do not lead to an understand<strong>in</strong>g <strong>of</strong> the key issues be<strong>in</strong>g discussed (Moulton and<br />

Roberts 1993).<br />

Logistical arrangements<br />

Invitations. Participants are contacted <strong>in</strong> advance, at least one to two weeks before the<br />

session. A letter <strong>of</strong> <strong>in</strong>vitation may be sent to each participant, depend<strong>in</strong>g on the prevail<strong>in</strong>g<br />

practices <strong>in</strong> the area. Participants are rem<strong>in</strong>ded about the focus group <strong>in</strong>terview<br />

one day before the session.<br />

Group composition. The choice <strong>of</strong> participants depends on the focus group topic.<br />

Often, the people who are <strong>in</strong>cluded are those knowledgeable about the topic, but it is<br />

also wise to gather the views <strong>of</strong> certa<strong>in</strong> groups with<strong>in</strong> the target population. The optimal<br />

number <strong>of</strong> participants is 8-10, If a group is too small, one person <strong>in</strong> the group<br />

may dom<strong>in</strong>ate it; if it is too big, then it may be difficult to control. Group members<br />

should be representative <strong>of</strong> the target population.<br />

Transportation. To ensure attendance, transportation is usually arranged for the<br />

participants from their residences to the <strong>in</strong>terview venue and back. In rural areas where<br />

farm families may reside <strong>in</strong> distant villages, participants could be asked to converge<br />

at a central location to facilitate pick-up.<br />

Venue. Focus group <strong>in</strong>terviews can be conducted <strong>in</strong> a place where 8-10 persons<br />

can be seated and assured <strong>of</strong> some privacy. In rural areas, the most readily available<br />

sites are school build<strong>in</strong>gs, health and community centers, and churches. An appropriate<br />

venue is a neutral place that is free from distractions and where participants can<br />

talk openly.<br />

Seat<strong>in</strong>g arrangement. 4 semicircular seat<strong>in</strong>g arrangement facilitates <strong>in</strong>teraction<br />

among participants because it allows them to freely see and hear each other.<br />

Tim<strong>in</strong>g. The tim<strong>in</strong>g <strong>of</strong> the meet<strong>in</strong>g should be convenient to all participants. While<br />

wait<strong>in</strong>g for others to arrive, the focus group <strong>in</strong>terview team can use the time to break<br />

the ice by gett<strong>in</strong>g <strong>in</strong>formation about the participants’ backgrounds. To m<strong>in</strong>imize boredom,<br />

focus group <strong>in</strong>terviews are generally not stretched beyond two hours.<br />

6 Escalada and Heong


Name tags. It is best to remember the names <strong>of</strong> the participants. Often, a seat<strong>in</strong>g<br />

arrangement will facilitate identify<strong>in</strong>g each one. If the culture permits, provid<strong>in</strong>g name<br />

tags to participants is useful because it enables facilitators to call on those who may<br />

be too shy to express their op<strong>in</strong>ions.<br />

Record<strong>in</strong>g <strong>of</strong> discussion. A tra<strong>in</strong>ed rapporteur should be asked to capture the<br />

discussion <strong>in</strong> writ<strong>in</strong>g and note the participants’ nonverbal expressions. Situations may<br />

occur where the discussion needs to be tape-recorded, but facilitators should weigh<br />

the advantages and disadvantages.<br />

Refreshments. When resources permit, serv<strong>in</strong>g refreshments after the session is a<br />

small gesture <strong>of</strong> appreciation to the participants for hav<strong>in</strong>g taken time <strong>of</strong>f from their<br />

work to participate.<br />

How to conduct a focus group <strong>in</strong>terview<br />

Facilitator: In select<strong>in</strong>g a person to moderate a focus group, it is important that this<br />

person have these qualities:<br />

• familiarity with the discussion topic<br />

• ability to speak the language <strong>of</strong> the area<br />

• cultural sensitivity, <strong>in</strong>clud<strong>in</strong>g not act<strong>in</strong>g as a judge or a teacher, not look<strong>in</strong>g<br />

down on respondents, not agree<strong>in</strong>g or disagree<strong>in</strong>g with what is said, and not<br />

putt<strong>in</strong>g words <strong>in</strong> the participants’ mouths<br />

• sensitivity to women<br />

• politeness<br />

Steps <strong>in</strong> conduct<strong>in</strong>g the session. Before the focus group <strong>in</strong>terview beg<strong>in</strong>s, the<br />

facilitator should obta<strong>in</strong> background <strong>in</strong>formation on the participants, such as age,<br />

crops grown, and other pert<strong>in</strong>ent items. The type <strong>of</strong> <strong>in</strong>formation to collect depends on<br />

the topic. Once this is done, the follow<strong>in</strong>g sequence <strong>of</strong> steps is carried out:<br />

1. After a brief <strong>in</strong>troduction, the purpose and scope <strong>of</strong> the discussion are expla<strong>in</strong>ed.<br />

2. Participants are asked to give their names and brief background <strong>in</strong>formation<br />

about themselves.<br />

3. The discussion is structured around the key themes us<strong>in</strong>g the probe questions<br />

prepared <strong>in</strong> advance.<br />

4. Dur<strong>in</strong>g the discussion, all participants are given the opportunity to participate.<br />

Data analysis<br />

After conduct<strong>in</strong>g the focus group <strong>in</strong>terview, the key f<strong>in</strong>d<strong>in</strong>gs are described, analyzed.<br />

and written up <strong>in</strong> a report. See Appendix A for a sample content page. Debus (1988)<br />

suggests some useful guidel<strong>in</strong>es for analyz<strong>in</strong>g data:<br />

1. Develop a plan for analysis consist<strong>in</strong>g <strong>of</strong><br />

• background <strong>of</strong> the research<br />

• objectives<br />

• methods<br />

• discussion details<br />

• focus group <strong>in</strong>terview guide<br />

Methods for research on <strong>farmers</strong>’ knowledge, attitudes. and practices <strong>in</strong> pest <strong>management</strong> 7


2. Analyze the content <strong>of</strong> the group discussion by<br />

• review<strong>in</strong>g the notes from the focus group<br />

• listen<strong>in</strong>g aga<strong>in</strong> to the cassettes from the session (if tape-recorded)<br />

• group<strong>in</strong>g research f<strong>in</strong>d<strong>in</strong>gs accord<strong>in</strong>g to key themes<br />

• identify<strong>in</strong>g the different positions that emerged under each key theme<br />

• summariz<strong>in</strong>g each <strong>of</strong> the different positions and assess<strong>in</strong>g the extent to<br />

which each position was held by participants<br />

• pull<strong>in</strong>g out verbatim phrases that represent each position<br />

3. Synthesize the group discussion by<br />

• review<strong>in</strong>g the moderator’s notes <strong>of</strong> each discussion<br />

• identify<strong>in</strong>g the recurrent ideas that came out dur<strong>in</strong>g each discussion<br />

• <strong>in</strong>terpret<strong>in</strong>g these recurrent ideas based on other f<strong>in</strong>d<strong>in</strong>gs that emerged<br />

• identify<strong>in</strong>g the differences expressed for each topic and summariz<strong>in</strong>g the<br />

f<strong>in</strong>d<strong>in</strong>gs and group discussion.<br />

Farmer surveys<br />

In a survey, a researcher collects data from a sample <strong>of</strong> a population to determ<strong>in</strong>e the<br />

relative <strong>in</strong>cidence, distribution, and <strong>in</strong>terrelations <strong>of</strong> variables for the purpose <strong>of</strong> describ<strong>in</strong>g<br />

or predict<strong>in</strong>g and as a guide to action (Kerl<strong>in</strong>ger 1986, Oppenheim 1966).<br />

Sample surveys focus on people and their beliefs, op<strong>in</strong>ions, attitudes, motivations,<br />

and behaviors. The goal <strong>of</strong> survey research is to <strong>in</strong>fer the characteristics <strong>of</strong> a population<br />

from samples drawn from that population.<br />

Limitations <strong>of</strong> the survey approach<br />

Chambers (1983) summarizes some <strong>of</strong> the problems with the survey approach:<br />

“...questionnaire surveys <strong>of</strong>ten take more time and resources than estimated, enslave<br />

researchers, and generate mislead<strong>in</strong>g data and unread reports. Some bad questionnaire<br />

surveys make rural people appear ignorant when they are not.”<br />

Because <strong>of</strong> the usefulness <strong>of</strong> surveys <strong>in</strong> sett<strong>in</strong>g the research agenda, design<strong>in</strong>g<br />

extension strategies, and evaluat<strong>in</strong>g the effectiveness <strong>of</strong> projects and development<br />

<strong>in</strong>terventions, researchers have <strong>of</strong>ten used them to get the <strong>in</strong>formation they need.<br />

Surveys are also popular because their data can be subjected to a statistical analysis,<br />

which generates quantitative <strong>in</strong>dicators that give the semblance <strong>of</strong> rigor <strong>of</strong>ten desired<br />

by donors and practitioners. But surveys can be costly, <strong>in</strong>efficient, and superficial<br />

(Bryman 1988, Chambers 1983, Kearl 1976) unless they are carefully planned and<br />

comb<strong>in</strong>ed with <strong>in</strong>-depth, more sensitive techniques used by a multidiscipl<strong>in</strong>ary team<br />

(Y<strong>in</strong> 1984, Bryman 1988, Gonzalez 1985).<br />

How to conduct a farmer survey<br />

It is important that surveys be planned and conducted with the utmost care because<br />

their cost-effectiveness and opportunity costs are <strong>of</strong>ten high (Chambers 1983). The<br />

follow<strong>in</strong>g procedure is recommended:<br />

8 Escalada and Heong


Table 2. Farmers’ sources <strong>of</strong> <strong>rice</strong> seeds, last cropp<strong>in</strong>g season,<br />

central Thailand, 1996.<br />

Source<br />

Farmers (no.) (%)<br />

Private seed grower<br />

Neighbor<br />

Own stock<br />

M<strong>in</strong>istry <strong>of</strong> Agriculture<br />

Identify<strong>in</strong>g the problem. The first step <strong>in</strong> plann<strong>in</strong>g a farmer survey is to identify<br />

the problem that needs to be addressed. In pest <strong>management</strong>, the choice <strong>of</strong> the specific<br />

pest problem on which to focus depends on the research priorities and <strong>in</strong>formation<br />

needs <strong>of</strong> a given m<strong>in</strong>istry or plant protection organization. Where these priorities<br />

have not been articulated, the farmer survey could also be used to gather <strong>in</strong>formation<br />

for develop<strong>in</strong>g them.<br />

Develop<strong>in</strong>g survey objectives. Once a priority problem has been identified, the<br />

next step is to develop the survey objectives. A list <strong>of</strong> the variables that will help f<strong>in</strong>d<br />

answers to the survey objectives may put the researcher on track. Similarly, specific<br />

questions aimed at various aspects <strong>of</strong> the problem could help clarify the research<br />

problem. It is also important to remember that the survey objectives should guide the<br />

choice <strong>of</strong> questions.<br />

Dummy tables for analyz<strong>in</strong>g the data could help clarify the research problem and<br />

guide the construction <strong>of</strong> <strong>in</strong>terview questions. A sample dummy table on <strong>farmers</strong>’<br />

sources <strong>of</strong> <strong>rice</strong> seeds is provided (Table 2).<br />

Develop<strong>in</strong>g the survey <strong>in</strong>strument. In a farmer survey, the <strong>in</strong>strument used for<br />

data collection is a questionnaire that conta<strong>in</strong>s a series <strong>of</strong> questions designed to gather<br />

<strong>in</strong>formation from the respondents. Depend<strong>in</strong>g on the survey objectives, the questions<br />

may focus on topics such as <strong>farmers</strong>’ knowledge, attitudes, and practices for a pest<br />

problem, their cropp<strong>in</strong>g patterns, and their demographic and socioeconomic backgrounds.<br />

Two types <strong>of</strong> questionnaire items are commonly used: closed-ended and openended.<br />

Scale items are a third type.<br />

Closed-ended items. Fixed-alternative or closed-ended items <strong>of</strong>fer the respondent<br />

a choice among two or more alternatives. For most items, closed-ended questions<br />

are valuable because they provide a frame <strong>of</strong> reference and help to clarify the<br />

mean<strong>in</strong>g <strong>of</strong> the question. The most common type <strong>of</strong> closed-ended question is dichotomous,<br />

which uses two-alternative answers, such as yes-no, agree-disagree. Often a<br />

third alternative, don’t know or undecided, is added.<br />

An example <strong>of</strong> one type <strong>of</strong> closed-ended question is<br />

Who is responsible for water <strong>management</strong> <strong>in</strong> your <strong>rice</strong>field?<br />

1) self<br />

2) spouse<br />

Methods for research on <strong>farmers</strong>’ knowledge. attitudes. and practices <strong>in</strong> pest <strong>management</strong> 9


3) hired labor<br />

4) other (specify)<br />

With closed-ended items, a researcher can achieve greater uniformity and reliability<br />

<strong>of</strong> measurement by encourag<strong>in</strong>g respondents to answer <strong>in</strong> a way that fits preset<br />

response categories—which facilitates data process<strong>in</strong>g. But their major disadvantage<br />

is their superficiality. Without prob<strong>in</strong>g questions, they do not ord<strong>in</strong>arily get beneath<br />

the response surface. Prob<strong>in</strong>g questions are follow-up items that encourage respondents<br />

to clarify their answers, giv<strong>in</strong>g more details about thoughts, feel<strong>in</strong>gs, and op<strong>in</strong>ions<br />

(Moulton and Roberts 1993). If they are mixed with open-ended items and used<br />

with prob<strong>in</strong>g questions, closed-ended items are useful (Bryman 1988, Kerl<strong>in</strong>ger 1986).<br />

Open-ended items. The second type <strong>of</strong> item, open-ended questions, supplies a<br />

frame <strong>of</strong> reference for respondents’ answers, but puts a m<strong>in</strong>imum <strong>of</strong> restra<strong>in</strong>t on answers<br />

and their expression. Although their content is dictated by the research problem,<br />

they impose no other restrictions on the manner <strong>in</strong> which respondents answer.<br />

An example is<br />

How should water <strong>management</strong> be carried out to control weeds?<br />

Open-ended questions are flexible. They provide opportunities for gett<strong>in</strong>g <strong>in</strong>depth<br />

<strong>in</strong>formation that enable the <strong>in</strong>terviewer to clarify the question, ascerta<strong>in</strong> a<br />

respondent’s lack <strong>of</strong> knowledge, detect ambiguity, encourage cooperation and achieve<br />

rapport, or make better estimates <strong>of</strong> respondents’ attitudes and beliefs (Kerl<strong>in</strong>ger 1986).<br />

Scale items. A scale is a set <strong>of</strong> verbal items to which an <strong>in</strong>dividual responds by<br />

express<strong>in</strong>g degrees <strong>of</strong> agreement or disagreement or some other mode <strong>of</strong> response<br />

(Kerl<strong>in</strong>ger 1986, Kidder 1981, Becker 1970). Scale items have fixed alternatives and<br />

place the respond<strong>in</strong>g <strong>in</strong>dividual at some po<strong>in</strong>t on the scale. Scales <strong>of</strong>ten consist <strong>of</strong><br />

response categories <strong>of</strong> multiple po<strong>in</strong>ts, such as 7, 5, or 3. While a 5-po<strong>in</strong>t or 7-po<strong>in</strong>t<br />

scale is generally suggested to m<strong>in</strong>imize a response bias, a 3-po<strong>in</strong>t scale has been<br />

observed to be more appropriate for rural sett<strong>in</strong>gs because <strong>of</strong> differences <strong>in</strong> vocabulary<br />

patterns and education levels. Rural respondents are <strong>of</strong>ten unable to put gradations<br />

<strong>in</strong> their own perceptions or feel<strong>in</strong>gs, mak<strong>in</strong>g it difficult to discrim<strong>in</strong>ate between<br />

“agree” and “strongly agree.” An example <strong>of</strong> a scale follows:<br />

Leaf-feed<strong>in</strong>g <strong>in</strong>sects do not cause yield loss.<br />

1) strongly agree<br />

2) agree<br />

3) neither agree nor disagree<br />

4) disagree<br />

5) strongly disagree<br />

6) don’t know<br />

10 Escalada and Heong


For agree-disagree scales such as the one shown, it is important to <strong>in</strong>clude a<br />

“don’t know” category so that respondents who have no knowledge <strong>of</strong> an issue can<br />

say so. When us<strong>in</strong>g a “don’t know” category, we suggest that the midpo<strong>in</strong>t <strong>of</strong> the scale<br />

become “neither agree nor disagree.”<br />

Assess<strong>in</strong>g <strong>farmers</strong>’ knowledge, attitudes, and practices. In farmer surveys, some<br />

questions seek to establish which particular technique or concept respondents know<br />

about, how they feel about it, and whether they practice it. An objective norm is provided<br />

aga<strong>in</strong>st which to compare respondents’ knowledge and practices, and an objective<br />

standard is given aga<strong>in</strong>st which to rate the extent <strong>of</strong> their knowledge and practices,<br />

and the direction <strong>of</strong> their attitudes. The assumption beh<strong>in</strong>d measur<strong>in</strong>g the knowledge,<br />

attitudes, and practices <strong>of</strong> respondents is that differences exist between what<br />

people know (knowledge), how they feel (attitude), and what they do (practice).<br />

Us<strong>in</strong>g the <strong>in</strong>formation gleaned, a researcher can identify gaps <strong>in</strong> knowledge, attitudes,<br />

and practices for a specific problem, which may have implications for design<strong>in</strong>g<br />

future research and for implement<strong>in</strong>g <strong>in</strong>terventions. In a survey <strong>of</strong> <strong>farmers</strong>’ weed<br />

<strong>management</strong> practices, for example, we found that most <strong>farmers</strong> relied on their own<br />

seed or that <strong>of</strong> a neighbor for transplant<strong>in</strong>g or broadcast<strong>in</strong>g <strong>in</strong> their fields. Most believed<br />

that seeds from private seed growers do not require additional clean<strong>in</strong>g, and<br />

that neighbors and friends should exchange seeds among themselves. The <strong>farmers</strong><br />

said they preferred their own or their neighbors’ unprocessed seeds because a supply<br />

is always available and accessible, and the cost is low. Information like this about<br />

<strong>farmers</strong>’ knowledge can be transformed <strong>in</strong>to researchable problems, with the research<br />

results eventually communicated back to the <strong>farmers</strong>.<br />

Appendix B provides a sample survey questionnaire conta<strong>in</strong><strong>in</strong>g questions on<br />

knowledge, attitudes, and practices.<br />

Knowledge, attitude, and practice questions def<strong>in</strong>ed. Knowledge questions are<br />

constructed to test a respondent’s comprehension and awareness <strong>of</strong> the subject matter<br />

<strong>of</strong> the survey.<br />

Attitude questions measure how respondents feel about a particular subject. These<br />

questions use scales to ask respondents to <strong>in</strong>dicate their degree <strong>of</strong> agreement or disagreement<br />

with certa<strong>in</strong> statements. An example <strong>of</strong> an attitude scale is the follow<strong>in</strong>g:<br />

Direct seed<strong>in</strong>g or broadcast<strong>in</strong>g can <strong>in</strong>crease the weed population.<br />

_____1) agree<br />

_____2) no op<strong>in</strong>ion<br />

_____3) disagree<br />

Questions on practices measure the action component <strong>of</strong> a survey by ask<strong>in</strong>g respondents<br />

how they behave or would behave <strong>in</strong> a particular situation. Although observation<br />

is a more reliable method for determ<strong>in</strong><strong>in</strong>g a practice, farmer surveys <strong>of</strong>ten<br />

measure a practice through verbal reports <strong>of</strong> a respondent’s use <strong>of</strong> a particular technique<br />

or a set <strong>of</strong> recommended procedures. In ask<strong>in</strong>g about a respondent’s present<br />

behavior or practice, specific—rather than general—questions are asked about what<br />

the person is actually do<strong>in</strong>g. In a survey on <strong>farmers</strong>’ pesticide use, for example, it is<br />

Methods for research on <strong>farmers</strong>’ knowledge, attitudes, and practices <strong>in</strong> pest <strong>management</strong> 11


preferable to ask, “Which pesticide do you currently use? May I see the conta<strong>in</strong>er?’<br />

rather than merely ask<strong>in</strong>g, “Which chemicals do you use?”<br />

Question word<strong>in</strong>g. Often the validity and reliability <strong>of</strong> survey data depend on the<br />

quality <strong>of</strong> the word<strong>in</strong>g <strong>of</strong> the questions. Appropriateness and preciseness <strong>of</strong> the word<strong>in</strong>g<br />

are desirable attributes for generat<strong>in</strong>g reliable answers. To elicit accurate responses,<br />

sensitivity must be given to cultural differences <strong>in</strong> l<strong>in</strong>guistic patterns. For <strong>in</strong>stance, <strong>in</strong><br />

pretest<strong>in</strong>g <strong>of</strong> the survey <strong>in</strong>strument to determ<strong>in</strong>e message reach and use <strong>in</strong> Vietnam,<br />

the follow<strong>in</strong>g survey questions were found to be difficult to <strong>in</strong>terpret:<br />

26b. IF NO, why did you decide not to do the experiment?<br />

27. Have you stopped early spray<strong>in</strong>g for leaffolder control?<br />

1) Yes<br />

2) no<br />

In this case, respondents perceived the use <strong>of</strong> negative words <strong>in</strong> a question to<br />

imply a negative mean<strong>in</strong>g (stopped the early spray for leaffolder control), so they<br />

were considered <strong>in</strong>appropriate and culturally unacceptable. The questions were modified<br />

to:<br />

26b. Did you carry out the experiment?<br />

If not, why not?<br />

27. Did you spray <strong>in</strong>secticides <strong>in</strong> the early season for leaffolder<br />

control?<br />

When researchers work <strong>in</strong> cross-cultural survey sett<strong>in</strong>gs, it is essential to exercise<br />

care <strong>in</strong> the choice <strong>of</strong> words and syntax <strong>of</strong> survey questions. It is thus important to<br />

pretest all questions before us<strong>in</strong>g them.<br />

Be<strong>in</strong>g aware <strong>of</strong> the common errors <strong>in</strong> construct<strong>in</strong>g questionnaires can help prevent<br />

problems that threaten the validity <strong>of</strong> data:<br />

1. Lead<strong>in</strong>g questions that suggest answers or force respondents to answer <strong>in</strong> the<br />

direction desired by the researcher<br />

Example<br />

Do you th<strong>in</strong>k us<strong>in</strong>g IPM is a waste <strong>of</strong> time?<br />

1) yes<br />

2) no<br />

An improvement: What do you th<strong>in</strong>k <strong>of</strong> IPM?<br />

12 Escalada and Heong


2. Double-barreled items that ask two questions simultaneously<br />

Example<br />

What major pests did you have last season, and how did you control them?<br />

An improvement:<br />

a) What major pests did you have last season?<br />

b) For each <strong>of</strong> the above, how did you control it?<br />

3. Vague references to time<br />

Example<br />

Usually, what is your most important <strong>rice</strong> pest?<br />

An improvement:<br />

Last season, which pest did you consider to be the most important?<br />

4. Subjective qualifiers<br />

Example<br />

Normally, how many times do you spray chemicals on your <strong>rice</strong> crop?<br />

An improvement:<br />

Last season, how many times did you spray chemicals on your <strong>rice</strong> crop?<br />

5. Very long questions that tax the memory <strong>of</strong> a respondent<br />

Example<br />

For your last <strong>rice</strong> crop, could you tell me the dosage or number <strong>of</strong> tablespoons<br />

per load, number <strong>of</strong> sprayer loads per hectare, time <strong>of</strong> application, and number<br />

<strong>of</strong> applications <strong>of</strong> <strong>in</strong>secticides?<br />

An improvement: Break this up <strong>in</strong>to several questions:<br />

Methods for research on <strong>farmers</strong>' knowledge, attitudes, and practices <strong>in</strong> pest <strong>management</strong> 13


In your last <strong>rice</strong> crop,<br />

a) how many chemical applications did you use?<br />

b) how many <strong>of</strong> these were <strong>in</strong>secticides?<br />

c) how many sprayer loads per hectare did you use?<br />

d) what was the dosage or number <strong>of</strong> tablespoons <strong>of</strong> <strong>in</strong>secticides used <strong>in</strong> each<br />

load?<br />

6. Jargon that confuses respondents<br />

Example:<br />

Which <strong>of</strong> the follow<strong>in</strong>g is the best way to conserve natural enemies ?<br />

_____1) spray on a fixed calendar schedule<br />

_____2) spray at the first appearance <strong>of</strong> the pest<br />

_____3) follow the economic threshold level method<br />

An improvement:<br />

Which <strong>of</strong> the follow<strong>in</strong>g is the best way to conserve spiders (or use words <strong>farmers</strong><br />

normally use)?<br />

_____1) spray on a calendar schedule<br />

_____2) spray when the pest first appears<br />

_____3) spray when the pest reaches a certa<strong>in</strong> number.<br />

Pretest<strong>in</strong>g the questionnaire. After a researcher completes the draft <strong>of</strong> the prototype<br />

questionnaire, it is pretested on a small representative sample <strong>of</strong> the population.<br />

The pretest is a screen<strong>in</strong>g <strong>of</strong> the questionnaire to see how it works and whether changes<br />

are necessary before the actual survey is started. About 15 to 25 respondents are adequate<br />

for a pretest. Based on the pretest results, the questionnaire is modified and<br />

then f<strong>in</strong>alized.<br />

Rationale for pretest<strong>in</strong>g. The pretest provides a means <strong>of</strong> catch<strong>in</strong>g and solv<strong>in</strong>g<br />

unforeseen problems <strong>in</strong> us<strong>in</strong>g the questionnaire, such as <strong>in</strong> the phras<strong>in</strong>g and sequenc<strong>in</strong>g<br />

<strong>of</strong> questions. L<strong>in</strong>guistic and cultural differences <strong>of</strong>ten complicate the task <strong>of</strong> develop<strong>in</strong>g<br />

a questionnaire—mak<strong>in</strong>g pretest<strong>in</strong>g <strong>in</strong>dispensable.<br />

The pretest enables a researcher to<br />

• improve the word<strong>in</strong>g <strong>of</strong> the questionnaire;<br />

• correct and improve the translation <strong>of</strong> technical terms;<br />

• check the accuracy and adequacy <strong>of</strong> the questionnaire's <strong>in</strong>structions, such as<br />

skip and go to;<br />

• elim<strong>in</strong>ate unnecessary questions and add necessary ones; and<br />

• estimate the time needed to conduct the <strong>in</strong>terview.<br />

Excerpts <strong>of</strong> pretest results are given <strong>in</strong> the box on the follow<strong>in</strong>g page to illustrate<br />

how pretest<strong>in</strong>g yielded constructive suggestions that served as the basis for improv<strong>in</strong>g<br />

a questionnaire.<br />

14 Escalada and Heong


Questionare pretest<strong>in</strong>g: suggestions from the field<br />

The survey questionnaire for the project “Farmers’ perceptions and attitudes toward<br />

seed health for crop <strong>management</strong>” was pretested <strong>in</strong> Pandac, Pavia, Iloilo, Philipp<strong>in</strong>es,<br />

on 4 March 1995. The goals <strong>of</strong> the pretest were to determ<strong>in</strong>e the reactions <strong>of</strong> <strong>rice</strong><br />

<strong>farmers</strong> to the questionnaire, estimate the time needed to complete the <strong>in</strong>terview,<br />

validate the translation <strong>of</strong> key technical terms used, f<strong>in</strong>d out whether the respondents<br />

could understand the technical terms, and ascerta<strong>in</strong> whether the sequence <strong>of</strong> the<br />

questions solicited the desired <strong>in</strong>formation. A survey enumerator was hired to assist<br />

<strong>in</strong> pretest<strong>in</strong>g the <strong>in</strong>strument with 15 <strong>rice</strong> <strong>farmers</strong>. The follow<strong>in</strong>g observations and<br />

correspond<strong>in</strong>g recommendations were made:<br />

1. In this village, the first and second <strong>rice</strong> crops are both grown dur<strong>in</strong>g the wet season,<br />

so the reference to the first one as the wet season crop and the second one<br />

as the dry season crop does not apply. Recommendation: Provide the necessary<br />

<strong>in</strong>dicators for the <strong>in</strong>terviewers to guide them if they are confronted with decision<br />

problems <strong>in</strong> this area.<br />

2. The second cropp<strong>in</strong>g was not realized because <strong>of</strong> drought (question 4: Last year<br />

for the second cropp<strong>in</strong>g, what was the area on which you direct-seeded and/or<br />

transplanted?). Some <strong>farmers</strong> did not plant <strong>rice</strong> and <strong>in</strong>stead planted watermelon<br />

or tomatoes. Recommendation: Po<strong>in</strong>t this out to the <strong>in</strong>terviewers dur<strong>in</strong>g the orientation.<br />

3. In question 5 (What cropp<strong>in</strong>g pattern did you practice?), the <strong>farmers</strong> found the<br />

term “cropp<strong>in</strong>g pattern” difficult to comprehend. The question cannot be properly<br />

answered without expla<strong>in</strong><strong>in</strong>g the term or mak<strong>in</strong>g it a lead<strong>in</strong>g question. Recommendation:<br />

Modify the question to <strong>in</strong>stead ask what crop was grown <strong>in</strong> a particular<br />

season. The <strong>farmers</strong> also mentioned a third cropp<strong>in</strong>g season dur<strong>in</strong>g which they<br />

plant crops such as watermelon, tomatoes, and mungbean <strong>in</strong> lieu <strong>of</strong> <strong>rice</strong>.<br />

4. Question 6 (Last cropp<strong>in</strong>g season, how much (<strong>in</strong> pesos) did you spend for <strong>rice</strong><br />

seeds, <strong>in</strong>secticides, fungicides, herbicides, fertilizer, irrigation, and labor for pesticide<br />

application?) entailed a lot <strong>of</strong> time to answer because the <strong>in</strong>terviewer <strong>of</strong>ten<br />

had to add up the figures given by <strong>farmers</strong>. Recommendation: Rem<strong>in</strong>d <strong>in</strong>terviewers<br />

to br<strong>in</strong>g calculators with them.<br />

Sampl<strong>in</strong>g techniques for choos<strong>in</strong>g respondents. Decid<strong>in</strong>g how many respondents<br />

to <strong>in</strong>clude is an important concern <strong>in</strong> survey research. Standard social science methods<br />

are used <strong>in</strong> select<strong>in</strong>g the sample for a farmer survey: cluster/multistage sampl<strong>in</strong>g,<br />

stratified sampl<strong>in</strong>g, systematic sampl<strong>in</strong>g, and simple random sampl<strong>in</strong>g. The choice <strong>of</strong><br />

sampl<strong>in</strong>g technique depends primarily on the nature <strong>of</strong> the problem, the cost and time<br />

factors <strong>in</strong>volved, and the desired precision or reliability <strong>of</strong> the results (Parel et al<br />

1978, Casley and Lury 1982).<br />

Decisions on sample size depend on the degree <strong>of</strong> accuracy required, the degree<br />

<strong>of</strong> variability <strong>in</strong> the population, and the k<strong>in</strong>d <strong>of</strong> data analysis be<strong>in</strong>g planned. Sample<br />

size can be estimated statistically or by follow<strong>in</strong>g certa<strong>in</strong> rules. The statistical method<br />

requires some assumptions about the population and uses statistical equations for<br />

random sampl<strong>in</strong>g processes. These procedures can be found <strong>in</strong> <strong>books</strong> on social science<br />

research methods (Neuman 1997, Frankfort-Nachmias and Nachmias 1996).<br />

Methods for research on <strong>farmers</strong>’ knowledge, attitudes, and practices <strong>in</strong> pest <strong>management</strong> 15


Rules for determ<strong>in</strong><strong>in</strong>g sample size are based on past experience with samples<br />

drawn from statistical methods, and they are commonly used when study<strong>in</strong>g large<br />

populations. Accord<strong>in</strong>g to Neuman (1997), these rules are:<br />

• A small population needs a larger sampl<strong>in</strong>g ratio to have an accurate sample.<br />

For <strong>in</strong>stance, a population <strong>of</strong> below 1,000 requires a sampl<strong>in</strong>g ratio <strong>of</strong> 30% to<br />

achieve a high level <strong>of</strong> accuracy. For large populations (above 150,000), smaller<br />

sampl<strong>in</strong>g ratios (1%) are <strong>of</strong>ten sufficient. In general, practical considerations,<br />

such as costs and logistics, are the most important decid<strong>in</strong>g factors.<br />

• For small samples, small <strong>in</strong>creases <strong>in</strong> sample size can produce larger ga<strong>in</strong>s <strong>in</strong><br />

accuracy than for large samples.<br />

The follow<strong>in</strong>g are descriptions <strong>of</strong> some <strong>of</strong> the commonly used sampl<strong>in</strong>g methods:<br />

Cluster/multistage sampl<strong>in</strong>g. Most knowledge, attitude, and practice surveys use<br />

the cluster or multistage sampl<strong>in</strong>g procedure to select respondents. This technique is<br />

recommended when a complete list <strong>of</strong> persons <strong>in</strong> the population is not available and if<br />

the population covers a large area. In this technique, the researcher comes up with the<br />

desired sample by first select<strong>in</strong>g large group<strong>in</strong>gs (clusters) with<strong>in</strong> the population (Kidder<br />

1981). The sampl<strong>in</strong>g is done successively <strong>in</strong> stages. Through simple or stratified<br />

sampl<strong>in</strong>g, one chooses the clusters and then the units with<strong>in</strong> each cluster. For example,<br />

a survey <strong>of</strong> farm<strong>in</strong>g households may take a sample <strong>of</strong> regions; with<strong>in</strong> each<br />

region, a sample <strong>of</strong> prov<strong>in</strong>ces; with<strong>in</strong> each prov<strong>in</strong>ce selected, a sample <strong>of</strong> districts;<br />

and with<strong>in</strong> each district selected, a sample <strong>of</strong> households (Parel et al 1966, Kidder<br />

1981).<br />

Stratified sampl<strong>in</strong>g. Sometimes, the population under study is large and made up<br />

<strong>of</strong> diverse groups. With<strong>in</strong> the subset <strong>of</strong> <strong>rice</strong> <strong>farmers</strong>. further group<strong>in</strong>gs exist, such as<br />

irrigated, ra<strong>in</strong>fed upland, and ra<strong>in</strong>fed lowland. In such cases, stratified sampl<strong>in</strong>g is<br />

suggested. When the composition <strong>of</strong> each group is not equal, the number <strong>of</strong> <strong>farmers</strong><br />

selected to be respondents should be proportional to the total number <strong>of</strong> <strong>farmers</strong> <strong>in</strong><br />

each <strong>of</strong> the three strata.<br />

Systematic sampl<strong>in</strong>g. If the population units are with<strong>in</strong> a limited area, a sample <strong>of</strong><br />

respondents may be selected systematically (Casley and Lury 1982). In systematic<br />

sampl<strong>in</strong>g, the persons <strong>in</strong> the population from which the sample will be drawn are<br />

numbered consecutively on a list. Then we determ<strong>in</strong>e the sampl<strong>in</strong>g <strong>in</strong>terval by divid<strong>in</strong>g<br />

the sampl<strong>in</strong>g population by the desired sample size (N/n). We select the first sample<br />

unit at random and choose the succeed<strong>in</strong>g units accord<strong>in</strong>g to the sampl<strong>in</strong>g <strong>in</strong>terval.<br />

Simple random sampl<strong>in</strong>g. Simple random sampl<strong>in</strong>g is done if there is a list <strong>of</strong><br />

persons to be <strong>in</strong>cluded <strong>in</strong> the survey, if these persons are not widely spread out geographically,<br />

and if they have similar characteristics. For <strong>in</strong>stance, if a researcher is<br />

do<strong>in</strong>g a survey <strong>of</strong> fruit growers <strong>in</strong> the northern highlands <strong>of</strong> a prov<strong>in</strong>ce, he or she<br />

needs a list <strong>of</strong> fruit tree growers <strong>in</strong> those communities. To select respondents through<br />

simple random sampl<strong>in</strong>g, various techniques are suggested, such as draw<strong>in</strong>g lots or<br />

us<strong>in</strong>g random numbers (Parel et al 1966, Kidder 1981).<br />

Implement<strong>in</strong>g the field survey. Once the questionnaire has been pretested, f<strong>in</strong>alized,<br />

and reproduced, the next step is to implement the field survey. Resources needed<br />

16 Escalada and Heong


for the fieldwork <strong>in</strong>clude personnel, money, and time. A survey coord<strong>in</strong>ator, a supervisor,<br />

and <strong>in</strong>terviewers <strong>of</strong>ten make up a field survey team. The survey coord<strong>in</strong>ator is<br />

responsible for all aspects <strong>of</strong> the fieldwork, <strong>in</strong>clud<strong>in</strong>g select<strong>in</strong>g, tra<strong>in</strong><strong>in</strong>g, and deploy<strong>in</strong>g<br />

<strong>in</strong>terviewers. The supervisor assists the survey coord<strong>in</strong>ator <strong>in</strong> spot-check<strong>in</strong>g and<br />

monitor<strong>in</strong>g the field <strong>in</strong>terviews. Before they beg<strong>in</strong> conduct<strong>in</strong>g the survey, <strong>in</strong>terviewers<br />

are oriented on the purpose <strong>of</strong> the survey and tra<strong>in</strong>ed on <strong>in</strong>terview<strong>in</strong>g skills and on<br />

how to conduct the <strong>in</strong>terviews. Guided by the sampl<strong>in</strong>g plan and respondent list, the<br />

<strong>in</strong>terviewers locate the respondents, conduct the <strong>in</strong>terviews, and check the completed<br />

questionnaires after the <strong>in</strong>terview.<br />

Choos<strong>in</strong>g a field <strong>in</strong>terviewer: Interviewers are important l<strong>in</strong>ks <strong>in</strong> the survey cha<strong>in</strong>,<br />

so those who are selected must be honest and objective. We have found that college<br />

students tend to be more objective <strong>in</strong>terviewers because they do not have the <strong>in</strong>herent<br />

bias that pr<strong>of</strong>essional agency staff members <strong>of</strong>ten have. In a survey <strong>of</strong> <strong>rice</strong> <strong>farmers</strong>’<br />

pest <strong>management</strong> perceptions and practices, for example, we observed that the plant<br />

protection <strong>of</strong>ficers who had done the <strong>in</strong>terviews tended to unnecessarily <strong>in</strong>terpret <strong>farmers</strong>’<br />

responses. Although many <strong>farmers</strong> reported that “green worm” was their most<br />

important pest, <strong>in</strong>terviewers recorded the pest as either armyworm or <strong>rice</strong> bug based<br />

on their perception <strong>of</strong> what “green worm” implied. Green worm could have referred<br />

to a variety <strong>of</strong> leaf feeders, such as <strong>rice</strong> leaffolders, cutworms, caseworms, and thrips.<br />

Guidel<strong>in</strong>es for <strong>in</strong>terviewers when implement<strong>in</strong>g the field survey. To ensure efficient<br />

implementation <strong>of</strong> the survey and to m<strong>in</strong>imize errors, the follow<strong>in</strong>g guidel<strong>in</strong>es<br />

for <strong>in</strong>terviewers are suggested:<br />

Select<strong>in</strong>g respondents. Only those <strong>farmers</strong> who are on the respondent or replacement<br />

list should be <strong>in</strong>terviewed. If the designated farmer is temporarily not available<br />

at the time <strong>of</strong> the <strong>in</strong>terview, schedule a return visit. If the person will not be available<br />

for a long time, choose a name from the list <strong>of</strong> replacements.<br />

Materials. Advise <strong>in</strong>terviewers to obta<strong>in</strong> the follow<strong>in</strong>g before fieldwork: specific<br />

area <strong>of</strong> assignment, list <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> to be <strong>in</strong>terviewed, questionnaires, a map, and<br />

pencils.<br />

Establish rapport with the respondent. As a quick approach for obta<strong>in</strong><strong>in</strong>g <strong>in</strong>formation,<br />

a survey <strong>of</strong>ten relies on <strong>in</strong>terviewers who are unknown to the respondents.<br />

Be<strong>in</strong>g a stranger can pose difficulties—respondents <strong>of</strong>ten hesitate to give accurate<br />

<strong>in</strong>formation because <strong>of</strong> an implicit mistrust <strong>of</strong> outsiders. When conduct<strong>in</strong>g field <strong>in</strong>terviews,<br />

a first step would be to establish rapport with respondents by sett<strong>in</strong>g the proper<br />

atmosphere. To achieve this, the follow<strong>in</strong>g steps are suggested:<br />

1. Introduce yourself.<br />

2. Ask the respondent’s permission for the <strong>in</strong>terview.<br />

3. Inform the respondent <strong>of</strong> these important po<strong>in</strong>ts:<br />

• description <strong>of</strong> the study<br />

• purpose<br />

• benefits that can be derived from the study<br />

4. The follow<strong>in</strong>g is an example <strong>of</strong> an <strong>in</strong>troduction:<br />

“Good morn<strong>in</strong>g, I am (<strong>in</strong>sert name), a student at Long An University. The Plant<br />

Protection Department (PPD) is currently do<strong>in</strong>g a survey <strong>of</strong> <strong>farmers</strong> <strong>in</strong> Long An Prov-<br />

Methods for research on <strong>farmers</strong>’ knowledge, attitudes. and practices <strong>in</strong> pest <strong>management</strong> 17


<strong>in</strong>ce with regard to the recent multimedia campaign on pest <strong>management</strong>. We would<br />

like to f<strong>in</strong>d out what you heard from the campaign and whether you told others about<br />

it. Your feedback will help PPD and the People’s Committee make plans on how to<br />

better respond to your <strong>in</strong>formation needs on pest <strong>management</strong>. May we please <strong>in</strong>terview<br />

you?”<br />

How to conduct the field <strong>in</strong>terview<br />

1. Create a friendly atmosphere by be<strong>in</strong>g courteous, conversational, and unbiased.<br />

When a respondent gives an answer that <strong>in</strong>dicates a knowledge gap,<br />

never show surprise or disapproval.<br />

2. Ask each question exactly as it is worded <strong>in</strong> the questionnaire. If the respondent<br />

has difficulty <strong>in</strong> understand<strong>in</strong>g the question, however, either repeat the<br />

question or try to adjust it slightly to facilitate understand<strong>in</strong>g.<br />

3. Ask questions <strong>in</strong> the order they appear on the questionnaire. Jump<strong>in</strong>g from<br />

question 1 to question 6 then back to question 2 will confuse the respondent<br />

and affect the answers given.<br />

4. Ask every question, unless the directions on the questionnaire specifically<br />

state to skip certa<strong>in</strong> ones. It is important that the questionnaire be filled out<br />

completely. Record responses as they are reported to you. Do not give a personal<br />

<strong>in</strong>terpretation <strong>of</strong> a respondent’s answers.<br />

5. Be extremely careful not to suggest a possible reply. When the respondent<br />

does not give a quick answer, be patient and wait for the response.<br />

6. Do not read aloud the response categories unless <strong>in</strong>structed to because they<br />

will lead the respondent. Simply read the questions and wait for the respondent<br />

to answer. If the person is hav<strong>in</strong>g problems, the <strong>in</strong>terviewer may encourage<br />

him or her by say<strong>in</strong>g, “Is there anyth<strong>in</strong>g else?” or “What else did you<br />

do?”<br />

7. When a respondent answers “I don’t know,” mis<strong>in</strong>terprets the mean<strong>in</strong>g <strong>of</strong> a<br />

question, or contradicts himself/herself, repeat the question or probe by say<strong>in</strong>g,<br />

“Is that all?” or “Could there be other reasons?” or “Could you tell me<br />

some more?”<br />

8. Where it is <strong>in</strong>dicated “Go to question ...”, follow the <strong>in</strong>struction carefully.<br />

9. Never show that the respondent is wrong when ask<strong>in</strong>g questions about his/<br />

her knowledge. Take down answers as given. If the response given <strong>in</strong>dicates<br />

that the person misunderstood, however, repeat the question to clarify.<br />

10. Do not let the respondent go <strong>of</strong>f on a tangent. If he/she talks too long on one<br />

topic, listen for a polite time and then proceed with the <strong>in</strong>terview.<br />

Prob<strong>in</strong>g questions. In many <strong>in</strong>terview situations, some respondents tend to give<br />

vague replies such as “okay” or “good,” which can mean different th<strong>in</strong>gs. When this<br />

happens, try to have the person express himself/herself better by ask<strong>in</strong>g why it is<br />

“okay” or “good” and encourage the person to give more specific answers. If a<br />

respondent’s answer belongs to the “other” category <strong>of</strong> responses <strong>in</strong> the questionnaire,<br />

ask him/her to specify the response. These follow-up questions are referred to<br />

as probes, which are <strong>of</strong>ten used to elicit additional <strong>in</strong>formation, expand an idea al-<br />

18 Escalada and Heong


eady expressed by the respondent, or clarify the respondent’s response (Sedlack and<br />

Stanley 1992).<br />

Usually, open-ended prob<strong>in</strong>g questions ask for more than a yes or no answer and<br />

provide the respondent the leeway to respond to a question from his/her own perspective.<br />

These generic follow-up questions are suggested to elicit more precise <strong>in</strong>formation<br />

(Kidder 1981, Krueger 1988):<br />

“Could you give an example?’<br />

“In what way?”<br />

“What do you mean?”<br />

“Would you expla<strong>in</strong> further?”<br />

“Tell me a little more about it.”<br />

“What do you mean when you said...”<br />

“Tell me how it is so...”<br />

Open-ended survey questions usually provide opportunities for prob<strong>in</strong>g, but the<br />

sequence <strong>of</strong> probe questions to ask depends on the respondent’s <strong>in</strong>itial response (see<br />

the example <strong>in</strong> the box).<br />

Us<strong>in</strong>g probes to get richer <strong>in</strong>formation<br />

After establish<strong>in</strong>g that <strong>farmers</strong> face pest problems and that leaf-feed<strong>in</strong>g <strong>in</strong>sects<br />

are important, the <strong>in</strong>terviewer may want to try to identify the species.<br />

This can be done through a conversation us<strong>in</strong>g some <strong>of</strong> these questions:<br />

• You said previously that ulod 1 are pest problems, can you tell me<br />

what they look like?<br />

• Can you describe the color?<br />

• How big are they?<br />

• Where do they live?<br />

• At what stage <strong>of</strong> the crop do you see them?<br />

• At what time <strong>of</strong> day do you see them?<br />

• How many <strong>of</strong> these <strong>in</strong>sects do you <strong>of</strong>ten see on the <strong>rice</strong> crop?<br />

• What are they do<strong>in</strong>g to the crop?<br />

• Please draw the ulod for me here.<br />

1 Ulod is a term for worm <strong>in</strong> Cebuano, a local language spoken <strong>in</strong> most <strong>of</strong> Visayas and M<strong>in</strong>danao<br />

prov<strong>in</strong>ces <strong>in</strong> the Philipp<strong>in</strong>es.<br />

Check the responses<br />

1. After an answer is given, check it to make certa<strong>in</strong> it is complete.<br />

2. Review the responses immediately upon complet<strong>in</strong>g the <strong>in</strong>terview to check<br />

for any unclear <strong>in</strong>formation; if found, clear up the problem with the respondent<br />

before leav<strong>in</strong>g.<br />

3. Correct <strong>in</strong>consistent answers by ask<strong>in</strong>g the respondent to clarify answers.<br />

Close the <strong>in</strong>terview. After check<strong>in</strong>g your <strong>in</strong>terview schedule for completeness,<br />

briefly thank your respondent for his/her cooperation.<br />

Specific <strong>in</strong>structions on us<strong>in</strong>g the questionnaire. Every questionnaire should have<br />

a set <strong>of</strong> <strong>in</strong>structions to guide the <strong>in</strong>terviewer on how certa<strong>in</strong> questions should be asked<br />

Methods for research on <strong>farmers</strong>’ knowledge, attitudes, and practices <strong>in</strong> pest <strong>management</strong> 19


to elicit the needed <strong>in</strong>formation. Interviewers should be provided with written <strong>in</strong>structions<br />

on how to use the questionnaire dur<strong>in</strong>g their tra<strong>in</strong><strong>in</strong>g (see sample below).<br />

Encod<strong>in</strong>g and analyz<strong>in</strong>g survey data. Once the completed questionnaires have<br />

been checked, the data are coded, processed, and analyzed by hand or by us<strong>in</strong>g a<br />

statistical package for a computer. Ease <strong>of</strong> use, power, and cost are some <strong>of</strong> the important<br />

considerations when choos<strong>in</strong>g computer s<strong>of</strong>tware for data analysis. Translat<strong>in</strong>g<br />

question responses and respondent <strong>in</strong>formation <strong>in</strong>to specific categories for analysis is<br />

called encod<strong>in</strong>g the data. The first step <strong>of</strong> encod<strong>in</strong>g <strong>in</strong>formation <strong>in</strong>volves construct<strong>in</strong>g<br />

Sample <strong>in</strong>structions on us<strong>in</strong>g questionnaire<br />

Page<br />

1<br />

Question<br />

no.<br />

Instructions<br />

As you ask the respondent’s name, fill <strong>in</strong> the name, address,<br />

date <strong>of</strong> <strong>in</strong>terview, and other <strong>in</strong>formation required.<br />

It is important to record this <strong>in</strong>formation because we may<br />

want to do a follow-up <strong>in</strong>terview. Record<strong>in</strong>g the<br />

respondent’s name will also facilitate the task <strong>of</strong> verify<strong>in</strong>g<br />

the <strong>in</strong>terview or the field supervisor <strong>in</strong> do<strong>in</strong>g spot checks.<br />

1 6<br />

2 7<br />

3 9<br />

3 12-14<br />

Rice yield should be recorded <strong>in</strong> tons ha -1 . Record the<br />

local unit <strong>of</strong> measure the respondent gives, but later convert<br />

it to kg and then tons ha -1 .<br />

Read aloud the farm <strong>in</strong>puts (from 7a to 7g) one at a time<br />

and record the costs <strong>in</strong>curred for each. For 7g (labor cost<br />

for pesticide application), if the respondent or a family<br />

member provided the labor, ask him/her to estimate how<br />

much he/she would have had to pay a hired laborer to do<br />

the work. If the respondent has difficulty estimat<strong>in</strong>g the<br />

cost, assist him/her by ask<strong>in</strong>g for the local wage rate for<br />

certa<strong>in</strong> farm operations and multiply this by the number<br />

<strong>of</strong> days spent perform<strong>in</strong>g the task.<br />

Do not read the response categories. Wait for the respondent<br />

to answer. Probe for as many answers as possible<br />

but do not lead or help the respondent with the answers.<br />

After he/she has given an answer, probe by say<strong>in</strong>g, “What<br />

else did you do?”<br />

Most <strong>farmers</strong> will have applied <strong>in</strong>secticides several times<br />

dur<strong>in</strong>g a cropp<strong>in</strong>g season. Ask for the times by hav<strong>in</strong>g the<br />

respondent recall the number <strong>of</strong> days after plant<strong>in</strong>g that<br />

the <strong>in</strong>secticide was applied. His/her response for the first<br />

application time should correspond with the response <strong>in</strong><br />

question 10. Probe for the second time and third time, if<br />

20 Escalada and Heong


a code book, which is a set <strong>of</strong> rules used to classify observations <strong>of</strong> variables <strong>in</strong>to<br />

values that are transformed <strong>in</strong>to numbers (see the sample code book below).<br />

The numbers <strong>of</strong> responses <strong>in</strong> different categories are tabulated and then statistical<br />

analysis is done, <strong>in</strong>clud<strong>in</strong>g calculat<strong>in</strong>g percentages and averages and do<strong>in</strong>g appropriate<br />

tests <strong>of</strong> significance. The data analyses are then <strong>in</strong>terpreted and the results organized<br />

<strong>in</strong>to a coherent report that expla<strong>in</strong>s the research problem, data collection<br />

methods used, f<strong>in</strong>d<strong>in</strong>gs, and conclusions. Like other research papers, the survey report<br />

should consist <strong>of</strong> an abstract or executive summary, <strong>in</strong>troduction, methods, results<br />

and discussion, and conclusions. The abstract. which is a succ<strong>in</strong>ct summary <strong>of</strong><br />

the work, should describe the survey objectives, methods, summary <strong>of</strong> the results,<br />

discussion, conclusions, and recommendations.<br />

Sample code book<br />

Q.<br />

no.<br />

Variable<br />

name Column Code Description<br />

Respnum A Enter actual number<br />

1<br />

Variety C 1 IR variety (Hungary, lR29723,<br />

lR13240108, lR50404, IR68, IR64,<br />

IR50401, IR62, IR66, IR65,<br />

lR17433, IR61, IR42, IR60, IR28,<br />

IR250, IR300 595, IR120, lR9729,<br />

lR35546, 9729, 19660, 1352,<br />

2797, 69C, 250, 84-23, 84, 10,<br />

522, 3200, 10-1, 32429)<br />

2 Local variety (F28, F36, G125, G<br />

596, G 02, G 03, G 31851, K, Khac,<br />

Trang Phuoc, Trangnho, NEP)<br />

3 Breed<strong>in</strong>g l<strong>in</strong>e from research <strong>in</strong>stitutions<br />

(CL, CL6, CL2, CL46, CL950,<br />

CL7, CL5, C28, KSB-54, KSB 55,<br />

DT10, LA-1, LA-70, LM 45, MTL-85,<br />

MTL 59, MTL 54, MTL-58)<br />

2<br />

Sdsource D 1<br />

2<br />

Private seed grower<br />

M<strong>in</strong>istry <strong>of</strong> Agriculture<br />

3 Own<br />

4 Neighbor<br />

5 Other (specify)<br />

3<br />

Method E 1<br />

2<br />

Direct seed<strong>in</strong>g<br />

Transplant<strong>in</strong>g<br />

Methods for research on <strong>farmers</strong>' knowledge, attitudes, and practices <strong>in</strong> pest <strong>management</strong> 21


Conclusions<br />

In this chapter, we discussed various methods for determ<strong>in</strong><strong>in</strong>g <strong>farmers</strong>’ knowledge,<br />

attitudes, and practices <strong>in</strong> pest <strong>management</strong>. These methods—rapid rural appraisal,<br />

key <strong>in</strong>formant <strong>in</strong>terview, focus group <strong>in</strong>terview, and formal survey—have been used<br />

by many authors for various purposes to obta<strong>in</strong> data from the field. The methods are<br />

<strong>in</strong>struments to gather data and, for the research to provide mean<strong>in</strong>gful descriptions<br />

and analyses, it is important to beg<strong>in</strong> by def<strong>in</strong><strong>in</strong>g the problem.<br />

At the outset, the research problem has to be def<strong>in</strong>ed so that the appropriate<br />

variables can be carefully selected to test the hypotheses; the correspond<strong>in</strong>g <strong>in</strong>struments<br />

can then be developed to address the problem. Each method has its own strengths<br />

and limitations. Thus, authors <strong>of</strong>ten use a comb<strong>in</strong>ation <strong>of</strong> methods <strong>in</strong> their research<br />

program.<br />

Because data from surveys and related methods depend on respondents’ selfreports,<br />

they may conta<strong>in</strong> errors that weaken their reliability and validity. Such errors<br />

may arise from the use <strong>of</strong> <strong>in</strong>appropriate variables, biased sampl<strong>in</strong>g procedures, word<strong>in</strong>g<br />

<strong>of</strong> questionnaires, l<strong>in</strong>guistic and cultural nuances, <strong>in</strong>terviewer <strong>in</strong>adequacies, and<br />

data-encod<strong>in</strong>g mistakes. To m<strong>in</strong>imize such sources <strong>of</strong> error, special emphasis must be<br />

placed on <strong>in</strong>strument design and implementation <strong>of</strong> surveys. It is useful to conduct<br />

several pretests before f<strong>in</strong>aliz<strong>in</strong>g the <strong>in</strong>struments, especially to prevent misunderstand<strong>in</strong>gs<br />

caused by l<strong>in</strong>guistic differences. In implementation, it is useful to adopt a quality<br />

assurance procedure to m<strong>in</strong>imize <strong>in</strong>terviewer <strong>in</strong>adequacies and data encod<strong>in</strong>g.<br />

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Parel CP, Caldito GC, Ferrer PL, de Guzman GG, S<strong>in</strong>aioco CS, Tan RH. 1978. Social survey<br />

research design. Quezon City: Philipp<strong>in</strong>e Social Science Council.<br />

Methods for research on <strong>farmers</strong>’ knowledge, attitudes, and practices <strong>in</strong> pest <strong>management</strong> 23


Parel CP, Mijares TA, Orense MM, Samson PQ, Alonzo DC, Concepcion MB, Gutierrez JS,<br />

Tienzo BP. 1966. Introduction to statistical methods (with applications). Manila: Macaraig<br />

Publish<strong>in</strong>g Company, Inc.<br />

Sedlack RG, Stanley J. 1992. Social research: theory and methods, Boston, MA: Allyn & Bacon,<br />

229 p.<br />

Siebert SD. 1973. The <strong>in</strong>tegration <strong>of</strong> fieldwork and survey methods. Am. Sociol. Rev. 78(6): 1335-<br />

1359.<br />

US. Department <strong>of</strong> Health and Human Services. 1980. Pretest<strong>in</strong>g <strong>in</strong> health communications:<br />

methods, examples, and resources for improv<strong>in</strong>g health messages and materials. Bethesda<br />

(Md., USA): National Cancer Institute.<br />

Y<strong>in</strong> RK. 1984. Case study research: design and methods. California: Sage Publications.<br />

Notes<br />

Authors’ addresses: M.M. Escalada, Department <strong>of</strong> Development Communication, Visayas State<br />

College <strong>of</strong> Agriculture, Baybay, Leyte, Philipp<strong>in</strong>es; K.L. Heong, Entomology and Plant<br />

Pathology Division, <strong>International</strong> Rice Research Institute, Los Baños, Laguna, Philipp<strong>in</strong>es.<br />

Acknowledgments: The authors thank the Swiss Agency for Development and Cooperation<br />

(SDC), through the Rice IPM Network based at <strong>IRRI</strong>, for fund<strong>in</strong>g the farmer surveys and<br />

focus group <strong>in</strong>terviews from which we have drawn the content for this chapter, the Food<br />

and Agriculture Organization <strong>of</strong> the United Nations (FAO) for allow<strong>in</strong>g us to cite some <strong>of</strong><br />

its processes and results, and our research collaborators <strong>in</strong> the national agricultural research<br />

systems <strong>in</strong> the Philipp<strong>in</strong>es, Thailand, and Vietnam.<br />

Citation: Heong KL, Escalada MM, editors. 1997. <strong>Pest</strong> <strong>management</strong> <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong>.<br />

Manila (Philipp<strong>in</strong>es): <strong>International</strong> Rice Research Institute.<br />

24 Escalada and Heong


Appendix A<br />

Content Page<br />

Focus Group Interview Report on Integrated Weed Management<br />

<strong>in</strong> the Muda Irrigation Scheme, Malaysia a<br />

Executive summary<br />

Acknowledgments<br />

Table <strong>of</strong> contents<br />

Introduction<br />

Objectives <strong>of</strong> the focus group <strong>in</strong>terview<br />

Methodology<br />

Focus group <strong>in</strong>terview<br />

The respondents<br />

Select<strong>in</strong>g the respondents<br />

Discussion guide<br />

Introduction<br />

Experiences <strong>in</strong> <strong>rice</strong> cultivation<br />

Problems <strong>in</strong> <strong>rice</strong> cultivation<br />

Weed problems<br />

Experiences <strong>in</strong> weed control<br />

Relationship with MADA and other related agencies<br />

Experiences <strong>in</strong> <strong>rice</strong> cultivation<br />

Years <strong>of</strong> <strong>in</strong>volvement <strong>in</strong> <strong>rice</strong> cultivation<br />

Changes <strong>in</strong> <strong>rice</strong> cultivation<br />

Methods for research on <strong>farmers</strong>' knowledge, attitudes. and practices <strong>in</strong> pest <strong>management</strong> 25


Problems <strong>in</strong> <strong>rice</strong> cultivation<br />

High production costs<br />

Irrigation<br />

Market<strong>in</strong>g and transportation<br />

<strong>Pest</strong>s and diseases<br />

Other crop-related problems<br />

Weed problems <strong>in</strong> <strong>rice</strong> cultivation<br />

Extent <strong>of</strong> weed problem<br />

Types <strong>of</strong> weeds<br />

Knowledge on weeds<br />

Attitude toward weeds<br />

a Source: Ramli Mohamed and Khor Yoke Lim. 1988. A report <strong>of</strong> the focus group <strong>in</strong>terview on the strategic<br />

extension campaign on <strong>in</strong>tegrated weed <strong>management</strong> <strong>in</strong> the Muda irrigation Scheme, Malaysia. Consuitants'<br />

report submitted to the Muda Agricultural Development Authority and FAO.<br />

26 Escalada and Heong


Appendix B<br />

Sample survey questionnaire on knowledge, attitudes, and practices<br />

RICE IPM NETWORK<br />

Respondent<br />

District<br />

Interviewer<br />

Village<br />

Date <strong>of</strong> Interview<br />

Prov<strong>in</strong>ce<br />

I. BACKGROUND INFORMATION<br />

1. Last cropp<strong>in</strong>g season, what <strong>rice</strong> varieties did you plant?<br />

2. What is your source <strong>of</strong> <strong>rice</strong> seeds?<br />

______1) Private seed grower<br />

______2) M<strong>in</strong>istry <strong>of</strong> Agriculture<br />

______3) Self<br />

______4) Neighbor<br />

______5) Other (specify)____________________________<br />

3. How is <strong>rice</strong> grown <strong>in</strong> your field?<br />

______1) By direct seed<strong>in</strong>g<br />

______2) By transplant<strong>in</strong>g<br />

4. What is your total <strong>rice</strong> area?________ha<br />

Methods for research on <strong>farmers</strong>' knowledge, attitudes, and practices <strong>in</strong> pest <strong>management</strong> 27


5. What cropp<strong>in</strong>g pattern do you follow?<br />

1) Rice-fallow<br />

2) Rice-<strong>rice</strong><br />

3) Rice-other crops (specify)<br />

6. What was your <strong>rice</strong> yield last season? yield per ha<br />

[Note: record actual unit given by <strong>farmers</strong> and later convert it to kg]<br />

II. PEST MANAGEMENT PRACTICES<br />

7. What pest(s), if any, did you have last cropp<strong>in</strong>g season?<br />

1) Armyworm 11) Sheath blight<br />

2) Blast 12) Stem borer<br />

3) Brown planthopper 13) Tungro<br />

4) Caseworm 14) Whitebacked planthopper<br />

5) Gall midge 15) Whorl maggots<br />

6) Green worm 16) Yellowleaf<br />

7) Leaffolder 17) Yellow spot<br />

8) Nematodes<br />

9) Rats<br />

18) Other (specify)<br />

19) None<br />

10) Rice bug<br />

8. What pest, if any, caused the most damage to your <strong>rice</strong> crop last season?<br />

No. 1<br />

9. What is your second most important pest problem?<br />

No. 2<br />

10. How did you control these pests last season?<br />

10a. Most important pest<br />

1) Apply pesticides (ASK Q. 11)<br />

2) Hand pick<strong>in</strong>g<br />

3) Bait<strong>in</strong>g<br />

4) Water <strong>management</strong> (flood<strong>in</strong>g, dra<strong>in</strong><strong>in</strong>g)<br />

5) Noth<strong>in</strong>g<br />

6) Other (specify)<br />

10b. 2nd most important pest<br />

1) Apply pesticides (ASK Q. 11)<br />

2) Hand pick<strong>in</strong>g<br />

3) Bait<strong>in</strong>g<br />

4) Water <strong>management</strong> (flood<strong>in</strong>g, dra<strong>in</strong><strong>in</strong>g)<br />

5) Noth<strong>in</strong>g<br />

6) Other (specify)<br />

28 Escalada and Heong


11. If you applied pesticides <strong>in</strong> the last cropp<strong>in</strong>g season, how many weeks after plant<strong>in</strong>g did<br />

you apply them?<br />

weeks<br />

12. All <strong>in</strong> all, <strong>in</strong> the last cropp<strong>in</strong>g season, how many times after plant<strong>in</strong>g did you apply pesti-<br />

cides?<br />

times<br />

13-16. Please tell me the number <strong>of</strong> times you applied pesticides at particular<br />

stage(s) <strong>of</strong> the crop. What chemicals did you apply at these stages? For<br />

which pests? [INTERVIEWER: Make sure that the number <strong>of</strong> pesticide applications<br />

given <strong>in</strong> 0. 10 matches the total number <strong>of</strong> applications reported<br />

for a// stages. You need to probe for pesticides applied at each crop stage<br />

as a farmer could make more than one application at each stage.]<br />

Time <strong>of</strong> application*<br />

No. <strong>of</strong> (Q. 14) For which<br />

applications<br />

<strong>Pest</strong>icides applied pests<br />

(Q. 13)<br />

DAS Crop stage (Q. 15) (Q. 16)<br />

Total<br />

0 Seedbed<br />

1-20 Seedl<strong>in</strong>g<br />

21-40 Vegetative<br />

41-60 Panicle <strong>in</strong>itiation<br />

>60 Reproductive<br />

Ripen<strong>in</strong>g<br />

* Time <strong>of</strong> application can be <strong>in</strong> terms <strong>of</strong> either days after seed<strong>in</strong>g (DAS) or crop stage.<br />

17. Can you tell me why you sprayed at these times?<br />

Time <strong>of</strong> application*<br />

DAS Crop stage Reason for pesticide use<br />

0 Seedbed<br />

1-20 Seedl<strong>in</strong>g<br />

21-40 Vegetative<br />

41-60 Panicle <strong>in</strong>itiation<br />

>61 Reproductive<br />

Ripen<strong>in</strong>g<br />

18. In general, please estimate the percentage <strong>of</strong> <strong>in</strong>sect pests killed by the <strong>in</strong>secticides that<br />

you used?<br />

1) 75-100% <strong>of</strong> <strong>in</strong>sect pests<br />

2) 50% <strong>of</strong> <strong>in</strong>sect pests<br />

3)


19. How much <strong>in</strong> total did you spend on chemicals last season?________(local currency)<br />

20. Did you spray the pesticides yourself?<br />

_____1) Yes<br />

_____2) No<br />

20a. IF NO, how much did you pay for labor for spray<strong>in</strong>g?<br />

_____(local currency)<br />

21. Do you have a sprayer?<br />

_____1) Yes<br />

_____2) No<br />

21a. If YES, what k<strong>in</strong>d <strong>of</strong> sprayer do you have? [INTERVIEWER: Ask the farmer to show<br />

his/her sprayer.]<br />

_____1) Knapsack<br />

_____2) Hand sprayer<br />

_____3) Other (specify)__________________________________<br />

21b. If NO, how do you get hold <strong>of</strong> a sprayer when needed?<br />

Ill. INFORMATION SOURCES AND KNOWLEDGE ON PEST MANAGEMENT<br />

22. Where did you first hear about the <strong>in</strong>secticide you were us<strong>in</strong>g?<br />

_____1) Neighbor/other <strong>farmers</strong><br />

_____2) Extension technician<br />

_____3) <strong>Pest</strong>icide sales agents<br />

_____4) Mass media<br />

______pr<strong>in</strong>t<br />

______billboard<br />

______radio<br />

5) Other (please specify)__________________________<br />

23. What is your most important consideration <strong>in</strong> decid<strong>in</strong>g what <strong>in</strong>secticide to buy? [INTER-<br />

VIEWER: If respondent gives more than one answer, probe whether those considerations<br />

are most important to him/her before jott<strong>in</strong>g down his/her response.]<br />

_____1) P<strong>rice</strong><br />

_____2) Effectiveness (kill<strong>in</strong>g efficiency)<br />

_____3) Packag<strong>in</strong>g<br />

_____4) Endorsement by sales agent<br />

_____5) Other (specify)<br />

30 Escalada and Heong


24. From where do you get pest control advice?<br />

1) Neighbor<br />

2) Extension technician<br />

3) Relatives<br />

4) <strong>Pest</strong>icide sales agents<br />

5) Radio<br />

6) TV<br />

7) Other (please specify)<br />

24a. IF MORE THAN ONE RESPONSE IN Q. 24, which <strong>of</strong> these sources <strong>of</strong> pest control<br />

advice is most credible to you?<br />

25. Why?<br />

26. Are you aware <strong>of</strong> any tra<strong>in</strong><strong>in</strong>g on pest <strong>management</strong> conducted <strong>in</strong> your area?<br />

1) Yes<br />

2) No<br />

26a. If YES, what was the tra<strong>in</strong><strong>in</strong>g about?<br />

26b. Who organized the tra<strong>in</strong><strong>in</strong>g?<br />

27. Have you attended this tra<strong>in</strong><strong>in</strong>g on pest <strong>management</strong>?<br />

1) Yes<br />

2) No<br />

Knowledge <strong>of</strong> natural enemies<br />

28. Are there other <strong>in</strong>sects/animals that do not cause damage to your <strong>rice</strong> crop?<br />

1) Yes (ASK Qs. 28a, 28b, 29)<br />

2) No (GO TO Q. 29)<br />

3) I don't know<br />

28a. If YES, what are they? Name as many as you can.<br />

28b. What do these animals do <strong>in</strong> your field?<br />

1) Feed on other <strong>in</strong>sects<br />

2) Dwell on leaves or live <strong>in</strong> the field<br />

3) Don't know<br />

Methods for research on <strong>farmers</strong>' knowledge, attitudes, and practices <strong>in</strong> pest <strong>management</strong> 31


29. What do you th<strong>in</strong>k happens to these animals when your <strong>rice</strong> crop is sprayed with chemicals?<br />

______1) Killed<br />

______2) Disappear<br />

______3) Don't know<br />

______4) Other (specify)<br />

Attitudes toward pesticide use<br />

Please <strong>in</strong>dicate whether you agree, have no op<strong>in</strong>ion, or disagree with the follow<strong>in</strong>g statements:<br />

30. Apply<strong>in</strong>g pesticides to the <strong>rice</strong> crop will make the yield go up.<br />

______1) Agree<br />

______2) No op<strong>in</strong>ion<br />

______3) Disagree<br />

31. Kill<strong>in</strong>g the natural enemies <strong>in</strong> your <strong>rice</strong> field by spray<strong>in</strong>g chemicals can cause pest <strong>in</strong>festation.<br />

______1) Agree<br />

______2) No op<strong>in</strong>ion<br />

______3) Disagree<br />

Knowledge <strong>of</strong> leaf-feed<strong>in</strong>g <strong>in</strong>sects<br />

32. Which <strong>in</strong>sects that feed on <strong>rice</strong> leaves do you know?<br />

Please <strong>in</strong>dicate whether you agree, have no op<strong>in</strong>ion, or disagree with the follow<strong>in</strong>g statements:<br />

33. Leaf-feed<strong>in</strong>g <strong>in</strong>sects (e.g., leaffolder, leafroller) <strong>in</strong> the early stage cause severe damage<br />

to the <strong>rice</strong> crop.<br />

______1) Agree<br />

______2) No op<strong>in</strong>ion<br />

______3) Disagree<br />

33a. If YES, please name the leaf-feed<strong>in</strong>g <strong>in</strong>sects that cause severe damage to the <strong>rice</strong><br />

crop.<br />

34. Leaf-feed<strong>in</strong>g <strong>in</strong>sects do not cause yield loss.<br />

______1) Agree<br />

______2) No op<strong>in</strong>ion<br />

______3) Disagree<br />

35. Spray<strong>in</strong>g chemicals to control leaf-feed<strong>in</strong>g <strong>in</strong>sects has to be done early.<br />

______1) Agree<br />

______2) No op<strong>in</strong>ion<br />

______3) Disagree<br />

32 Escalada and Heong


IV. SOCIODEMOGRAPHIC PROFILE<br />

36. What is your age? years<br />

37. Please tell me your tenure status:<br />

1) Owner-operator<br />

2) Lessee<br />

3) Tenant<br />

4) Hired laborer<br />

5) Other (specify)<br />

38. What is the highest grade/year <strong>in</strong> school you have completed?<br />

39. Are you a member <strong>of</strong> any <strong>farmers</strong>' organization?<br />

1) Yes<br />

2) No<br />

40. Which <strong>farmers</strong>' organizations are you a member <strong>of</strong>?<br />

41. In the last cropp<strong>in</strong>g season, did you borrow money for <strong>rice</strong> production?<br />

1) Yes<br />

2) No<br />

42. From whom did you borrow money?<br />

1) State, how much <strong>in</strong>terest?<br />

2) Private, how much <strong>in</strong>terest?<br />

3) Not applicable<br />

V. COMMUNICATION VARIABLES<br />

43. Do you have a functional radio?<br />

1) Yes<br />

2) No<br />

44. What radio station(s) do you usually tune <strong>in</strong>to?<br />

45. What time do you usually listen to radio?<br />

46. Which types <strong>of</strong> radio programs do you listen to?<br />

Methods for research on <strong>farmers</strong>' knowledge, attitudes, and practices <strong>in</strong> pest <strong>management</strong> 33


47. Which <strong>of</strong> the follow<strong>in</strong>g pr<strong>in</strong>t materials do you read most?<br />

______1) Newspaper<br />

______2) Comics<br />

______3) Pamphlets<br />

______4) Magaz<strong>in</strong>es<br />

______5) Other (specify)______________________________________<br />

48. Do you have a television (TV) set?<br />

______1) Yes<br />

______2) No<br />

49. Which TV station(s) do you watch?___________________________<br />

50. At what time do you usually watch TV?_________________<br />

Thank you.<br />

34 Escalada and Heong


CHAPTER 2<br />

<strong>Pest</strong> <strong>management</strong> practices<br />

<strong>of</strong> lowland <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Cambodia<br />

G.C. Jahn, P. Sophea, K. Bunnarith, and P. Chanthy<br />

Introduction<br />

We <strong>in</strong>terviewed 1,265 lowland <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Cambodia on their<br />

pest <strong>management</strong> practices from June 1995 to April 1996. Fortythree<br />

percent <strong>of</strong> the <strong>farmers</strong> were not aware <strong>of</strong> natural enemies <strong>of</strong><br />

<strong>rice</strong> pests; 59% thought that pesticides <strong>in</strong>creased <strong>rice</strong> yields. Only<br />

19% believed the <strong>in</strong>secticide applications could produce pest outbreaks<br />

by kill<strong>in</strong>g natural enemies. More <strong>farmers</strong> applied pesticides<br />

<strong>in</strong> the dry season than <strong>in</strong> the wet season, and more men than women<br />

used pesticides. <strong>Pest</strong>icide users and nonusers did not differ significantly<br />

<strong>in</strong> average age, education, or farm<strong>in</strong>g experience. Nationally,<br />

22% <strong>of</strong> wet-season <strong>farmers</strong> and 57% <strong>of</strong> dry-season <strong>farmers</strong> used<br />

pesticides. The <strong>rice</strong> yields <strong>of</strong> pesticide users and nonusers did not<br />

differ significantly, except <strong>in</strong> the wet season among <strong>farmers</strong> who did<br />

not use fertilizers. Insecticides and rodenticides were the most commonly<br />

used pesticides. None <strong>of</strong> the <strong>farmers</strong> used fungicides. An<br />

estimated 224,000 liters <strong>of</strong> pesticides were used annually on <strong>rice</strong>.<br />

In both the wet and dry seasons, nearly half <strong>of</strong> those apply<strong>in</strong>g pesticides<br />

used a knapsack sprayer. The average reported dry-season<br />

<strong>rice</strong> yield <strong>of</strong> 2.5 t ha -1 was significantly higher than the average reported<br />

wet-season yield <strong>of</strong> 1.4 t ha -1 .<br />

<strong>Pest</strong> <strong>management</strong> <strong>in</strong> Cambodia<br />

Several surveys have been conducted <strong>in</strong> Cambodia <strong>in</strong> recent years to address aspects<br />

<strong>of</strong> determ<strong>in</strong><strong>in</strong>g <strong>farmers</strong>’ knowledge, attitudes, and practices concern<strong>in</strong>g <strong>rice</strong> pests.<br />

The first <strong>of</strong> these, made by the <strong>International</strong> Rice Research Institute <strong>in</strong> 1989 (Rapusas<br />

et a 1989), revealed that 28% <strong>of</strong> the 42 wet-season (WS) <strong>rice</strong> <strong>farmers</strong> <strong>in</strong>terviewed <strong>in</strong><br />

Takeo Prov<strong>in</strong>ce used <strong>in</strong>secticides. This survey, however, was conducted <strong>in</strong> areas where<br />

the government distributed <strong>in</strong>secticides to <strong>farmers</strong>, so the sample may have been biased<br />

<strong>in</strong> favor <strong>of</strong> <strong>in</strong>secticide use. Prom (1993) found that 40% <strong>of</strong> 60 dry-season (DS)<br />

<strong>rice</strong> <strong>farmers</strong> surveyed <strong>in</strong> Kandal Prov<strong>in</strong>ce used <strong>in</strong>secticides and that 70% believed<br />

<strong>in</strong>secticides <strong>in</strong>crease yields. Joshi et al ( 1994) reported that <strong>of</strong> the nearly 100 WS and<br />

35


DS <strong>farmers</strong> <strong>in</strong> four prov<strong>in</strong>ces <strong>in</strong>terviewed, more than 40% <strong>of</strong> those <strong>in</strong> the three prov<strong>in</strong>ces<br />

near the Vietnam border used <strong>in</strong>secticides, but none <strong>of</strong> those liv<strong>in</strong>g <strong>in</strong> the prov<strong>in</strong>ce<br />

not border<strong>in</strong>g Vietnam used <strong>in</strong>secticides. Rickman et al (1995) <strong>in</strong>terviewed 197<br />

<strong>rice</strong> <strong>farmers</strong> (with no regard to season or ecosystem) <strong>in</strong> five prov<strong>in</strong>ces and found that<br />

10% applied liquid pesticides.<br />

Yech (1994) revealed that methyl parathion was the most popular <strong>in</strong>secticide<br />

among vegetable and <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Cambodia. He also found that <strong>of</strong> the pesticides<br />

be<strong>in</strong>g sold <strong>in</strong> 24 markets <strong>in</strong> 10 prov<strong>in</strong>ces, most belonged to the World Health<br />

Organization’s (WHO) hazard class I 1 . Accord<strong>in</strong>g to Yech (l994), more than 50 pesticides-73%<br />

<strong>of</strong> which were <strong>in</strong>secticides—were available <strong>in</strong> Cambodia represent<strong>in</strong>g<br />

30 different active <strong>in</strong>gredients.<br />

Most pesticides are labeled <strong>in</strong> Thai or Vietnamese. The only ones with Khmer<br />

labels are the Japanese-produced <strong>in</strong>secticides fenvalerate, fenitrothion, diaz<strong>in</strong>on, and<br />

cartap (Pisani 1996). Most <strong>of</strong> the pesticides <strong>in</strong> Cambodia were found to have far less<br />

active <strong>in</strong>gredients than <strong>in</strong>dicated on the label (Nesbitt et al 1996).<br />

Integrated pest <strong>management</strong> (IPM) survey<br />

About 70% <strong>of</strong> Cambodians are <strong>rice</strong> <strong>farmers</strong> (CIAP 1995a). Lowland <strong>rice</strong> (irrigated<br />

and ra<strong>in</strong>fed) is grown on most <strong>of</strong> the cultivated <strong>rice</strong>land <strong>in</strong> Cambodia; the most important<br />

crop protection issues focus on that crop. Through the Cambodia-<strong>IRRI</strong>-Australia<br />

Project (CIAP) IPM Program, we conducted a national survey to determ<strong>in</strong>e key <strong>rice</strong><br />

pests, def<strong>in</strong>ed as ones that regularly exceed economic threshold levels (Bottrell l979).<br />

The goal <strong>of</strong> the study was to document which lowland <strong>rice</strong> pests <strong>farmers</strong> consider<br />

important and then focus research on determ<strong>in</strong><strong>in</strong>g the effects <strong>of</strong> those pests on yields.<br />

No laws or regulations deal with pesticides <strong>in</strong> Cambodia and anyone can purchase<br />

pesticides—unrestricted—from Thailand and Vietnam (Pisani 1996). <strong>Pest</strong>icide<br />

use is also unregulated. For example, some merchants spray pesticides on fish sold <strong>in</strong><br />

open air markets to repel flies (Chaumeau 1996).<br />

This survey was conducted to determ<strong>in</strong>e<br />

• pest <strong>management</strong> practices <strong>of</strong> lowland <strong>rice</strong> <strong>farmers</strong>.<br />

• attitudes <strong>of</strong> lowland <strong>rice</strong> <strong>farmers</strong> toward pests and pesticides,<br />

• what <strong>farmers</strong> would like to know about pest <strong>management</strong>, and<br />

• <strong>farmers</strong>’ knowledge <strong>of</strong> the <strong>rice</strong> ecosystem.<br />

These f<strong>in</strong>d<strong>in</strong>gs will be used to<br />

• address the pest problems <strong>farmers</strong> consider as the most press<strong>in</strong>g,<br />

• evaluate farmer practices scientifically so that recommendations can be made<br />

to <strong>farmers</strong> and organizations that assist <strong>farmers</strong>,<br />

• identify dangerous or <strong>in</strong>effective pest <strong>management</strong> practices,<br />

• conduct research to improve on dangerous or <strong>in</strong>effective practices,<br />

1 WHO category I pesticides are “extremely and highly hazardous to human health.”<br />

36 Jahn et al


• assist the Cambodian Government <strong>in</strong> develop<strong>in</strong>g tra<strong>in</strong><strong>in</strong>g courses for <strong>rice</strong> <strong>farmers</strong>,<br />

and<br />

• understand misconceptions.<br />

Survey site<br />

Geographic location<br />

Thailand, Lao PDR, and Vietnam border Cambodia. Four mounta<strong>in</strong> ranges—the<br />

Cardomen and Elephant mounta<strong>in</strong>s to the west and southwest, the Dangrek mounta<strong>in</strong>s<br />

to the north, and the central highlands <strong>of</strong> Vietnam to the east—are near Cambodia’s<br />

borders. These mounta<strong>in</strong>s surround a vast central pla<strong>in</strong> conta<strong>in</strong><strong>in</strong>g the Tonle Sap lake<br />

and river complex (Nesbitt 1996). The <strong>rice</strong>-grow<strong>in</strong>g areas <strong>of</strong> Cambodia consist <strong>of</strong> the<br />

soils developed (from underly<strong>in</strong>g parent material) on the old alluvial or colluvial pla<strong>in</strong>s<br />

and on the active floodpla<strong>in</strong>s (White et al 1996).<br />

Current state <strong>of</strong> Cambodian development<br />

Cambodia is one <strong>of</strong> the poorest and least developed countries <strong>in</strong> <strong>Asia</strong>. There is one<br />

telephone for every 1,200 people and more than 9,500 people per doctor. In comparison,<br />

Lao PDR has 300 people per telephone and 4,400 people per doctor. Only 38%<br />

<strong>of</strong> Cambodia’s population is literate, whereas literacy rates exceed 80% <strong>in</strong> Lao PDR,<br />

Thailand, and Vietnam. Of the four countries, Cambodians consume the least calories<br />

per day. Cambodia has the highest <strong>in</strong>fant mortality rate <strong>in</strong> Southeast <strong>Asia</strong>, with 11%<br />

<strong>of</strong> Khmer babies dy<strong>in</strong>g before turn<strong>in</strong>g one year old. Nevertheless, Cambodia’s population<br />

is grow<strong>in</strong>g by 2.5% per year (<strong>Asia</strong>week 1996).<br />

Rice production <strong>in</strong> Cambodia<br />

From 1960 to 1969, the area planted to <strong>rice</strong> <strong>in</strong> Cambodia averaged 2.4 million ha per<br />

year (Khush et al 1986). Cambodian <strong>rice</strong> production peaked <strong>in</strong> 1969-70 at 4 million t<br />

(Helmers 1996, MAFF 1996). From 1970 to 1975, <strong>rice</strong> production decl<strong>in</strong>ed drastically<br />

as the country plunged <strong>in</strong>to civil war. The area cultivated to <strong>rice</strong> decreased by<br />

77% between 1970 and 1974, and production dropped 84% (Hildebrand and Porter<br />

1976). In 1975, the Khmer Rouge took over Cambodia. For the next four years, its<br />

members attempted to create a classless, agrarian, pure Khmer society. To boost <strong>rice</strong><br />

production, the Khmer Rouge forced almost the entire population to grow crops or<br />

build irrigation canals. But the Khmer Rouge’s efforts to <strong>in</strong>crease <strong>rice</strong> production<br />

were generally unsuccessful (Watts et al 1989). Vietnam succeeded <strong>in</strong> remov<strong>in</strong>g the<br />

Khmer Rouge from power <strong>in</strong> 1979 and pushed its forces to the Thai border. The<br />

regime cont<strong>in</strong>ues to control territory <strong>in</strong> western Cambodia. In 1979, only 770,000 ha<br />

<strong>of</strong> <strong>rice</strong> were sown and a mere 588,000 ha were harvested, produc<strong>in</strong>g about 565,000 t<br />

<strong>of</strong> gra<strong>in</strong> (FA0 1980, MAFF 1996). As a result, 35% <strong>of</strong> Cambodia’s 1980 food needs<br />

were supplied from <strong>in</strong>ternational sources (Mason and Brown 1983).<br />

The area under <strong>rice</strong> has grown steadily s<strong>in</strong>ce 1979: 1.4 million ha <strong>in</strong> 1987, 1.7<br />

million ha <strong>in</strong> 1992, and 2 million ha <strong>in</strong> 1995 (CIAP 199 1, 1995b, MAFF 1996). About<br />

1.6% <strong>of</strong> the potential lowland <strong>rice</strong> area cannot be used because <strong>of</strong> land m<strong>in</strong>es (Nesbitt,<br />

<strong>Pest</strong> <strong>management</strong> practlces <strong>of</strong> lowland <strong>rice</strong> <strong>farmers</strong> In Cambodla 37


unpublished data). Cambodian <strong>rice</strong> production reached 3.3 million t <strong>in</strong> 1995—about<br />

the same production level as achieved <strong>in</strong> 1967 on 2.5 million ha (CIAP 1991, 1995b,<br />

MAFF 1996). The major difference is that <strong>in</strong> 1967 the population was 6.6 million,<br />

whereas <strong>in</strong> 1995 it was 10 million (<strong>Asia</strong>week 1996, Tichit 1981).<br />

Rice ecosystems <strong>in</strong> Cambodia<br />

Wet-season <strong>rice</strong>. Most (93%) Cambodian <strong>rice</strong>land is classified as lowland, and the<br />

rest (7%) as upland and deepwater. Most <strong>of</strong> Cambodia's lowland <strong>rice</strong> is grown dur<strong>in</strong>g<br />

the wet season. Ra<strong>in</strong>fed lowland <strong>rice</strong> (RLR) accounts for 88% <strong>of</strong> Cambodia's cultivated<br />

<strong>rice</strong>land, while the rema<strong>in</strong><strong>in</strong>g 5% is irrigated. Most <strong>of</strong> this land is planted to<br />

late-matur<strong>in</strong>g varieties, some to medium-matur<strong>in</strong>g varieties, and limited amounts to<br />

early matur<strong>in</strong>g varieties (Lando and Mak 1994a). Late-matur<strong>in</strong>g varieties are usually<br />

planted <strong>in</strong> low fields where the water levels frequently exceed 50 cm. Medium-matur<strong>in</strong>g<br />

varieties are usually planted <strong>in</strong> middle fields, where the highest stand<strong>in</strong>g water<br />

levels seldom exceed 40 cm, and <strong>in</strong> high fields, where the water levels seldom exceed<br />

20 cm. Early matur<strong>in</strong>g varieties are commonly planted <strong>in</strong> high fields (Lando and Mak<br />

1994b). Roughly 90% <strong>of</strong> WS <strong>rice</strong> seed is sown <strong>in</strong> May through July, and 60% is<br />

harvested <strong>in</strong> December (FAO 1996).<br />

Dry-season <strong>rice</strong>. S<strong>in</strong>ce 1982, DS <strong>rice</strong> has accounted for no more than 5-8% <strong>of</strong><br />

the total <strong>rice</strong> area cultivated nationally (Lando and Mak 1991). It is not known what<br />

portion <strong>of</strong> DS land is used for two or more crops per season. The ability to grow DS<br />

<strong>rice</strong> depends on the presence <strong>of</strong> water, generally from wetlands and rivers. More than<br />

30% <strong>of</strong> Cambodia is considered wetland (Selvanathan 1993), suggest<strong>in</strong>g considerable<br />

potential to expand DS <strong>rice</strong> cultivation. DS <strong>rice</strong> seed is sown from late October to<br />

mid-November and harvested <strong>in</strong> March. Nearly all DS land is planted to early matur<strong>in</strong>g<br />

varieties (Javier 1996). The modern, photoperiod-<strong>in</strong>sensitive varieties can be grown<br />

virtually any time <strong>of</strong> the year, as long as the dra<strong>in</strong>age and irrigation system is adequate.<br />

For example, <strong>in</strong> parts <strong>of</strong> Suay Rieng Prov<strong>in</strong>ce near Vietnam, <strong>farmers</strong> plant an<br />

early matur<strong>in</strong>g irrigated crop from May to July.<br />

At least 15 orders <strong>of</strong> arthropods <strong>in</strong>habit Cambodian lowland <strong>rice</strong>. Most <strong>of</strong> these<br />

are not herbivores or plant feeders (Arida and Banion 1995, Jahn et al 1996).<br />

Rice research <strong>in</strong> Cambodia<br />

Agricultural research ceased <strong>in</strong> 1970 because <strong>of</strong> the government's preoccupation with<br />

the civil war. Dur<strong>in</strong>g the Khmer Rouge regime, nearly all scientists were killed or fled<br />

the country, educational <strong>in</strong>stitutions were closed, and research libraries and government<br />

publications were burned. With the exception <strong>of</strong> some papers published <strong>in</strong> French<br />

journals before 1953, nearly all Cambodian agricultural research documentation was<br />

destroyed (CIAP Khmer staff members, pers. comm.).<br />

Rice research began aga<strong>in</strong> <strong>in</strong> 1986 when <strong>IRRI</strong> and the Cambodian M<strong>in</strong>istry <strong>of</strong><br />

Agriculture, Forestry, and Fisheries (MAFF) signed a Memorandum <strong>of</strong> Understand<strong>in</strong>g.<br />

S<strong>in</strong>ce 1987, the Australian Agency for <strong>International</strong> Development (AusAID) has<br />

f<strong>in</strong>anced this collaborative <strong>rice</strong> research effort, known as CIAP (CIAP 1994).<br />

38 Jahn et al


Methods<br />

We collected data on <strong>farmers</strong>’ pest <strong>management</strong> knowledge, attitudes, and practices<br />

through structured personal <strong>in</strong>terviews us<strong>in</strong>g a questionnaire. The survey <strong>in</strong>strument<br />

was based on one used <strong>in</strong> Vietnam to test the effects <strong>of</strong> a no-early-spray campaign<br />

(Heong et al 1994, Rapusas et al 1994). We did five pretests us<strong>in</strong>g 25 different <strong>farmers</strong><br />

each time.<br />

Pretest<strong>in</strong>g revealed one serious obstacle. Farmers were orig<strong>in</strong>ally asked to name<br />

the most common pests, but little agreement existed on local names <strong>of</strong> arthropodseven<br />

with<strong>in</strong> the same village. To overcome this problem, we created a poster <strong>of</strong> randomly<br />

mixed photographs and draw<strong>in</strong>gs <strong>of</strong> common <strong>rice</strong> <strong>in</strong>sect pests and natural enemies,<br />

weeds, and diseases. Instead <strong>of</strong> provid<strong>in</strong>g names, <strong>farmers</strong> were asked to po<strong>in</strong>t<br />

to the pests that caused problems <strong>in</strong> their fields. They were then asked if there were<br />

other pests not shown on the poster.<br />

The questionnaire was orig<strong>in</strong>ally written <strong>in</strong> English and then translated <strong>in</strong>to Khmer.<br />

Fourteen Cambodians, tra<strong>in</strong>ed <strong>in</strong> survey techniques and <strong>in</strong> us<strong>in</strong>g the questionnaire,<br />

served as the <strong>in</strong>terviewers.<br />

From June 1995 to April 1996, we <strong>in</strong>terviewed 1,265 <strong>farmers</strong> from 154 villages<br />

<strong>in</strong> 10 prov<strong>in</strong>ces—Battambang, Kampong Cham, Kampong Chhnang, Kampong Speu,<br />

Kandal, Prey Veng, Pursat, Siem Reap, Svay Rieng, and Takeo (Fig. 1). These prov<strong>in</strong>ces,<br />

out <strong>of</strong> the country’s 21, represent 76% <strong>of</strong> the total lowland <strong>rice</strong> area. Survey<br />

sites were chosen on the basis <strong>of</strong> accessibility, security, and lowland <strong>rice</strong> production.<br />

In each village, a group <strong>of</strong> two to five <strong>in</strong>terviewers conducted the survey. No lists <strong>of</strong><br />

the residents <strong>of</strong> the villages existed, so the <strong>in</strong>terviewers simply chose <strong>farmers</strong> for the<br />

survey. They were, however, <strong>in</strong>structed to <strong>in</strong>clude both men and women <strong>of</strong> different<br />

economic status and <strong>of</strong> a variety <strong>of</strong> ages. A given farm was only represented once <strong>in</strong><br />

the survey.<br />

While not truly a random sample, the survey results do not appear to represent<br />

any bias <strong>in</strong> farmer selection on the part <strong>of</strong> the <strong>in</strong>terviewers. Given that parametric<br />

tests are robust, we assumed a normal distribution and a random sample for the purpose<br />

<strong>of</strong> data analysis.<br />

The survey data were coded and entered <strong>in</strong>to the Micros<strong>of</strong>t Excel ® spreadsheet<br />

(Version 5.0) on a computer. Data were analyzed with the Micros<strong>of</strong>t Excel ® and<br />

Statistica ® s<strong>of</strong>tware programs (Micros<strong>of</strong>t Corporation 1993). Averages were compared<br />

by t-tests, and frequency associations were measured by chi-square tests.<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> lowland <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Cambodia 39


Fig. 1. Map <strong>of</strong> Cambodia. Each dot represents one <strong>of</strong> the 168 villages <strong>in</strong>cluded <strong>in</strong> the IPM survey.


Survey results and discussion<br />

Farmer pr<strong>of</strong>ile<br />

Fifty-seven percent <strong>of</strong> the respondents were men and 43% women. These percentages<br />

should not be taken to <strong>in</strong>dicate the sex ratio <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> because we made no<br />

attempt to record the number <strong>of</strong> men and women <strong>in</strong> each household. Their ages ranged<br />

from 17 to 76 years and averaged 43 years. Respondents had 0- 13 years <strong>of</strong> education,<br />

with the average be<strong>in</strong>g 3.7 years. Most had spent the greater part <strong>of</strong> their lives as <strong>rice</strong><br />

<strong>farmers</strong>, with their farm<strong>in</strong>g experience rang<strong>in</strong>g from 1 to 60 years and averag<strong>in</strong>g 23<br />

years. S<strong>in</strong>ce the 1993 elections, land tenure rema<strong>in</strong>s an unresolved issue <strong>in</strong> Cambodia;<br />

nonetheless, 99% <strong>of</strong> WS <strong>farmers</strong> and 100% <strong>of</strong> DS <strong>farmers</strong> claimed that they<br />

owned their largest fields.<br />

Wet season. Families grow<strong>in</strong>g WS <strong>rice</strong> had 1-14 fields; the average was three.<br />

Field size ranged from 0.05 to 7.0 ha, with an average <strong>of</strong> 0.6 ha. About 77% <strong>of</strong> WS<br />

fields are never flooded by river water, 22% are flooded once a year, and 1 % twice a<br />

year. Most <strong>farmers</strong> said they grow traditional varieties. Only 1% <strong>of</strong> WS <strong>farmers</strong> reported<br />

grow<strong>in</strong>g <strong>IRRI</strong>-derived varieties, represent<strong>in</strong>g an estimated 0.9% <strong>of</strong> the national<br />

area planted to <strong>rice</strong>.<br />

Dry season. Families plant<strong>in</strong>g DS <strong>rice</strong> had one to seven fields, with an average <strong>of</strong><br />

two. The DS fields ranged from 0.05 to 3.5 ha, with an average <strong>of</strong> 0.5 ha. N<strong>in</strong>ety-two<br />

percent <strong>of</strong> these DS fields are flooded with river water once a year; the rest are not.<br />

Most DS <strong>farmers</strong> (82%) grow <strong>IRRI</strong>-derived varieties, represent<strong>in</strong>g 92% <strong>of</strong> the national<br />

DS <strong>rice</strong> area. This high percentage <strong>of</strong> <strong>IRRI</strong>-derived varieties used <strong>in</strong> the Cambodian<br />

DS is consistent with the f<strong>in</strong>d<strong>in</strong>gs <strong>of</strong> Joshi et al (1994).<br />

Farmer knowledge <strong>of</strong> pests and natural enemies<br />

Nationwide, <strong>farmers</strong> named more than 50 different pests they consider important <strong>in</strong><br />

<strong>rice</strong>. Except for umbrella sedge ( Cyperus difformis ) <strong>in</strong> the DS, no particular pest was<br />

cited by more than half the respondents. The ones most commonly reported were<br />

umbrella sedge, rats, yellow leaf, stem borers, and jungle <strong>rice</strong> ( Ech<strong>in</strong>ochloa colona ).<br />

Yellow leaves can be caused by any number <strong>of</strong> diseases or nutrient deficiencies. Tungro<br />

disease can cause yellow leaves, although its vector, the green leafhopper, was rarely<br />

reported as a pest. More than 20% <strong>of</strong> WS <strong>farmers</strong> considered crabs to be a major pest,<br />

but less than 10% <strong>of</strong> DS <strong>farmers</strong> did. Joshi et al (1994) also found <strong>farmers</strong> to frequently<br />

mention stem borers, rats, and crabs as major pests.<br />

More than 30% <strong>of</strong> DS growers considered caseworms to be a serious pest, whereas<br />

only 17% <strong>of</strong> WS growers did (Table 1). Of the <strong>farmers</strong> report<strong>in</strong>g caseworm problems,<br />

one-third <strong>of</strong> WS <strong>farmers</strong> and more than 70% <strong>of</strong> DS <strong>farmers</strong> attempt to manage them.<br />

Ironically, caseworms should be easier to manage <strong>in</strong> the dry season when <strong>farmers</strong><br />

have more control over the water <strong>in</strong> their fields. Dra<strong>in</strong><strong>in</strong>g <strong>rice</strong>fields provides good<br />

control <strong>of</strong> caseworms <strong>in</strong> Cambodia, with damage occur<strong>in</strong>g only <strong>in</strong> those parts <strong>of</strong> the<br />

field with stagnant water (Kun 1994). DS <strong>farmers</strong>, however, ma<strong>in</strong>ly use pesticides on<br />

caseworms. Only one DS farmer reported controll<strong>in</strong>g them by dra<strong>in</strong><strong>in</strong>g water from<br />

the field.<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> lowland <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Cambodia 41


Table 1. <strong>Pest</strong>s most commonly reported by Cambodian lowland <strong>rice</strong> <strong>farmers</strong>.<br />

Wet season<br />

<strong>Pest</strong><br />

Type <strong>of</strong><br />

pest<br />

Farmers Of those Most common<br />

report<strong>in</strong>g report<strong>in</strong>g, % control<br />

(%) controll<strong>in</strong>g method<br />

the pest<br />

Umbrella sedge<br />

Rats<br />

Whitehead<br />

(stem borer damage)<br />

Stem borer<br />

Crabs<br />

Jungle <strong>rice</strong><br />

Caseworm<br />

Weed 39.3<br />

Mammal 27.2<br />

Insect 23.9<br />

Insect 19.2<br />

Crustacean 20.8<br />

Weed 20.4<br />

Insect 17.4<br />

94.7 Removal by hand<br />

33.5 Rodenticide<br />

11.7 Removal by hand<br />

10.9 Removal by hand<br />

56.8 Removal by hand<br />

97.5 Removal by hand<br />

26.0 Ashes<br />

Dry season<br />

<strong>Pest</strong> Type <strong>of</strong> Farmers Of those Most common<br />

pest report<strong>in</strong>g report<strong>in</strong>g, % control<br />

(%) controll<strong>in</strong>g method<br />

the pest<br />

Umbrella sedge Weed 66.2 85.5<br />

Rats Mammal 45.9 59.7<br />

Whitehead<br />

(stem borer damage) Insect 31.3 30.7<br />

Stem borer Insect 18.5 65.4<br />

Crabs Crustacean 9.6 48.0<br />

Jungle <strong>rice</strong> Weed 31.3 93.3<br />

Caseworm Insect 30.2 67.6<br />

Removal by hand<br />

Rodenticide<br />

Insecticide<br />

Insecticide<br />

Insecticide<br />

Removal by hand<br />

Insecticide<br />

Farmers are generally aware <strong>of</strong> pest damage to their <strong>rice</strong> but do not necessarily<br />

understand the cause. For example, more <strong>farmers</strong> reported stem borer damage than<br />

reported stem borers (Table 1).<br />

About 43% <strong>of</strong> <strong>farmers</strong> were unaware that natural enemies exist, and some reported<br />

natural enemies as their major pests. The most extreme case <strong>of</strong> this was <strong>in</strong><br />

Kandal, where 43% <strong>of</strong> DS <strong>farmers</strong> reported ladybird beetles as pests. Besides eat<strong>in</strong>g<br />

<strong>in</strong>sects, ladybird beetles do <strong>in</strong> fact eat <strong>rice</strong> pollen, but there is no evidence that this<br />

affects yield. Except for ladybird beetles, less than 8% <strong>of</strong> <strong>farmers</strong> reported any given<br />

species <strong>of</strong> natural enemy as a major pest <strong>in</strong> any prov<strong>in</strong>ce <strong>in</strong> any season (Table 2).<br />

Only 1 % <strong>of</strong> <strong>farmers</strong> mistakenly thought that some pests, such as crabs and mole<br />

crickets, do not damage <strong>rice</strong>. On the other hand, 87% <strong>of</strong> <strong>farmers</strong> knew that some<br />

animals <strong>in</strong> the field do not damage <strong>rice</strong>; frogs were cited the most <strong>of</strong>ten. Of these<br />

<strong>farmers</strong>, 66% knew that frogs and other predators eat <strong>in</strong>sects, and more than half <strong>of</strong><br />

the 66% thought that pesticides could kill natural enemies.<br />

Attitudes toward pesticide use<br />

Farmers were asked to express their agreement or disagreement with several attitude<br />

statements. The majority (59%) agreed with the statement "Apply<strong>in</strong>g pesticides to<br />

42 Jahn et al


Table 2. Natural enemies reported as major pests by Cambodian lowland <strong>rice</strong><br />

<strong>farmers</strong>.<br />

% report<strong>in</strong>g as % report<strong>in</strong>g as<br />

Natural enemy Type a wet-season a dry-season<br />

pest<br />

pest<br />

Carabid beetles Predators <strong>of</strong> 5.9 0.0<br />

<strong>in</strong>sect larvae<br />

Spiders Predators <strong>of</strong> 5.7 1.4<br />

most <strong>in</strong>sects<br />

Ladybird beetles<br />

Predators <strong>of</strong><br />

Homopterans 5.3 2.8<br />

Long-horned grasshopper Predators <strong>of</strong> 5.2 6.7<br />

( Conocephalus stem borer<br />

longipennis )<br />

eggs<br />

<strong>rice</strong> <strong>in</strong>creases yields,” whereas 36% disagreed, 4% said they did not know, and the<br />

rest said it depends on the situation. This is consistent with Prom (1993), who also<br />

found that most Cambodian <strong>rice</strong> <strong>farmers</strong> thought that pesticides <strong>in</strong>crease <strong>rice</strong> yields.<br />

Among the <strong>farmers</strong> aware <strong>of</strong> natural enemies, 33% agreed that kill<strong>in</strong>g natural<br />

enemies with pesticides can cause pest outbreaks, 45% disagreed, and 22% said they<br />

did not know. Overall, only 19% <strong>of</strong> the <strong>farmers</strong> <strong>in</strong>terviewed thought that pesticide<br />

applications could produce pest outbreaks by kill<strong>in</strong>g natural enemies.<br />

<strong>Pest</strong> <strong>management</strong> practices<br />

<strong>Pest</strong>icide use. The percentage <strong>of</strong> <strong>farmers</strong> us<strong>in</strong>g pesticides varied greatly from one<br />

prov<strong>in</strong>ce to another: 8-50% <strong>of</strong> WS <strong>farmers</strong>, and 40-100% <strong>of</strong> DS <strong>farmers</strong>. Nationally,<br />

27% <strong>of</strong> <strong>farmers</strong> used pesticides <strong>in</strong> the WS, and 59% <strong>in</strong> the DS. Among those apply<strong>in</strong>g<br />

pesticides <strong>in</strong> the WS, 20% used <strong>in</strong>secticides, 8% used rodenticides, and 1% used<br />

herbicides. Among those apply<strong>in</strong>g pesticides <strong>in</strong> the dry season, 41% used <strong>in</strong>secticides,<br />

25% used rodenticides, and 1% used herbicides (Table 3).<br />

Like Yech (1994), we found that methyl parathion is the most commonly used<br />

<strong>in</strong>secticide. Interest<strong>in</strong>gly, methyl parathion is one <strong>of</strong> the few pesticides sold <strong>in</strong> Cambodian<br />

markets that conta<strong>in</strong>s as much active <strong>in</strong>gredient as claimed on the label (Nesbitt<br />

et a1 1996). Our f<strong>in</strong>d<strong>in</strong>gs agreed with those <strong>of</strong> Yech (1994) that z<strong>in</strong>c phosphide is the<br />

only rodenticide used <strong>in</strong> Cambodia. Herbicide users did not know what k<strong>in</strong>d <strong>of</strong> herbicide<br />

they used, although 2,4-D, paraquat, and alachlor are the ones available <strong>in</strong> Cambodian<br />

markets.<br />

Herbicide use was highest <strong>in</strong> Battambang, which is consistent with f<strong>in</strong>d<strong>in</strong>gs <strong>of</strong><br />

Rickman et a1 (1995). Rapusas et a1 (1989) found no herbicide use <strong>in</strong> Takeo (Table 3).<br />

None <strong>of</strong> the <strong>farmers</strong> <strong>in</strong>terviewed used fungicides, though some erroneously applied<br />

<strong>in</strong>secticides for fungal diseases such as brown spot.<br />

<strong>Pest</strong>icides were the most common method <strong>of</strong> controll<strong>in</strong>g major DS pests except<br />

for weeds. Among the <strong>farmers</strong> us<strong>in</strong>g <strong>in</strong>secticides, more than 93% looked for <strong>in</strong>sect<br />

damage to decide when to apply <strong>in</strong>secticides. The other <strong>farmers</strong> sprayed on a sched-<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> lowland <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Cambodia 43


Table 3. <strong>Pest</strong>icide use <strong>in</strong> Cambodian lowland <strong>rice</strong> by season.<br />

<strong>Pest</strong>icide <strong>Pest</strong>icide <strong>Pest</strong>icide<br />

Farmers Us<strong>in</strong>g users users users<br />

Prov<strong>in</strong>ce <strong>in</strong>terviewed pesticide apply<strong>in</strong>g apply<strong>in</strong>g apply<strong>in</strong>g<br />

(no.) (%) <strong>in</strong>secticide rodenticide herbicide<br />

(%) (%) (%)<br />

Wet season<br />

Battambang<br />

Kampong Cham<br />

Kampong Chhnang<br />

Kampong Speu<br />

Kandal<br />

Prey Veng<br />

Pursat<br />

Siem Reap<br />

Svay Rieng<br />

Takeo<br />

Dry season<br />

Kampong Cham<br />

Kampong Chhnang<br />

Kampong Speu<br />

Kandal<br />

Prey Veng<br />

Siem Reap<br />

Svay Rieng<br />

Takeo<br />

119<br />

100<br />

125<br />

104<br />

108<br />

109<br />

115<br />

105<br />

111<br />

107<br />

8<br />

31<br />

42<br />

23<br />

41<br />

71<br />

13<br />

52<br />

37<br />

16<br />

8<br />

11<br />

20<br />

12<br />

14<br />

33<br />

50<br />

13<br />

88<br />

52<br />

40<br />

65<br />

71<br />

49<br />

100<br />

54<br />

59<br />

69<br />

70<br />

82<br />

36<br />

100<br />

69<br />

6<br />

100<br />

50<br />

100<br />

44<br />

94<br />

73<br />

100<br />

3<br />

100<br />

82<br />

34<br />

44<br />

30<br />

27<br />

82<br />

0<br />

25<br />

100<br />

0<br />

64<br />

86<br />

56<br />

18<br />

53<br />

14<br />

100<br />

0<br />

43<br />

27<br />

13<br />

20<br />

0<br />

5<br />

0<br />

6<br />

0<br />

0<br />

0<br />

29<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

ule or simply copied their neighbors’ spray<strong>in</strong>g schedules. Of those who looked for<br />

pests or damage, 73% applied <strong>in</strong>secticides whenever they saw pest damage, and 26%<br />

sprayed when they observed a certa<strong>in</strong> number <strong>of</strong> <strong>in</strong>sects (regardless <strong>of</strong> type). The<br />

rema<strong>in</strong><strong>in</strong>g 1% <strong>of</strong> <strong>farmers</strong> sprayed any <strong>in</strong>sect, only sprayed certa<strong>in</strong> k<strong>in</strong>ds <strong>of</strong> <strong>in</strong>sects, or<br />

sprayed when pests exceeded predators.<br />

The 10 prov<strong>in</strong>ces <strong>in</strong> this survey have 1.3 million ha <strong>of</strong> WS lowland <strong>rice</strong> and<br />

159,000 ha <strong>of</strong> DS lowland <strong>rice</strong> (Javier 1996). Assum<strong>in</strong>g that 20% <strong>of</strong> WS <strong>farmers</strong> and<br />

41% <strong>of</strong> DS <strong>farmers</strong> used <strong>in</strong>secticides and that the same percentage <strong>of</strong> <strong>rice</strong> received<br />

<strong>in</strong>secticides, then about 260,000 ha <strong>of</strong> WS <strong>rice</strong> and 65,000 ha <strong>of</strong> DS <strong>rice</strong> received<br />

<strong>in</strong>secticide applications. Farmers were not usually certa<strong>in</strong> how many times they applied<br />

<strong>in</strong>secticides <strong>in</strong> a season, but knew at which stages <strong>of</strong> the <strong>rice</strong> crop they applied<br />

them. By count<strong>in</strong>g the number <strong>of</strong> stages <strong>in</strong> which they applied pesticides, we were<br />

able to determ<strong>in</strong>e the m<strong>in</strong>imum number <strong>of</strong> <strong>in</strong>secticide applications <strong>in</strong> a season for<br />

each farmer. In the DS, <strong>farmers</strong> applied an average <strong>of</strong> 0.7 liters ha -1 <strong>of</strong> <strong>in</strong>secticide an<br />

average <strong>of</strong> 2.7 times. We therefore estimated that DS <strong>farmers</strong> (<strong>in</strong> these 10 prov<strong>in</strong>ces)<br />

applied at least 123,000 liters <strong>of</strong> <strong>in</strong>secticide. WS <strong>farmers</strong> applied an average <strong>of</strong> 0.5<br />

liters ha -1 <strong>of</strong> <strong>in</strong>secticide at least 1.3 times, for a total <strong>of</strong> 169,000 liters. Thus, we estimate<br />

that at least 292,000 liters <strong>of</strong> <strong>in</strong>secticide were applied annually to the lowland<br />

<strong>rice</strong> <strong>in</strong> the 10 prov<strong>in</strong>ces surveyed.<br />

It appears that knapsack sprayers are becom<strong>in</strong>g more popular <strong>in</strong> Cambodia. In<br />

1989, not a s<strong>in</strong>gle WS lowland <strong>rice</strong> farmer <strong>of</strong> the 42 <strong>in</strong>terviewed <strong>in</strong> Takeo used a<br />

44 Jahn et al


knapsack sprayer (Rapusas et al 1989). In contrast, we found that 3% <strong>of</strong> the WS<br />

<strong>farmers</strong> <strong>in</strong> the prov<strong>in</strong>ce (107 respondents) and 19% <strong>of</strong> the DS lowland <strong>farmers</strong> (52<br />

respondents) used knapsack sprayers. Nationally, 10% <strong>of</strong> the 1,103 lowland WS <strong>farmers</strong><br />

<strong>in</strong>terviewed and 27% <strong>of</strong> the 281 lowland DS <strong>farmers</strong> used knapsack sprayers. This<br />

means that 48% <strong>of</strong> the WS and DS lowland <strong>farmers</strong> apply<strong>in</strong>g pesticides used knapsack<br />

sprayers. Rickman et al (1995) found that 2% <strong>of</strong> 197 <strong>farmers</strong> across ecosystems<br />

used knapsack sprayers.<br />

In this survey, 3% <strong>of</strong> pesticide users reported pour<strong>in</strong>g <strong>in</strong>secticides <strong>in</strong>to bowls and<br />

flick<strong>in</strong>g the chemicals over their fields with brushes or leaves. About 9% used a homemade<br />

plunger-type sprayer that squirts large volumes <strong>of</strong> <strong>in</strong>secticide over a few spots<br />

<strong>in</strong> the field. These plunger-sprayers consist <strong>of</strong> one metal or bamboo tube <strong>in</strong>side <strong>of</strong><br />

another. They are usually used for apply<strong>in</strong>g <strong>in</strong>secticides to seedbeds. The rest <strong>of</strong> the<br />

<strong>farmers</strong> mix pesticides with bait and place it <strong>in</strong> the field for rat control. Only 6% <strong>of</strong><br />

DS <strong>farmers</strong> and 1% <strong>of</strong> WS <strong>farmers</strong> who use pesticides reported that they regularly<br />

mix different pesticides together. A few <strong>farmers</strong> mixed pesticides <strong>in</strong> the same conta<strong>in</strong>er<br />

they used to fetch dr<strong>in</strong>k<strong>in</strong>g water or to feed domestic animals.<br />

Cultural and physical control. Farmers reported us<strong>in</strong>g ma<strong>in</strong>ly hand weed<strong>in</strong>g to<br />

control weeds. Diseased or pest-damaged <strong>rice</strong> plants are commonly pulled from fields.<br />

Accord<strong>in</strong>g to Rickman et al (1995), <strong>farmers</strong> spend an average <strong>of</strong> 15.6 d ha -1 hand<br />

pull<strong>in</strong>g weeds from fields each season.<br />

Botanical pest control. Several <strong>farmers</strong> mentioned that they chop up a cactus-like<br />

plant and place it <strong>in</strong> the water to kill or repel crabs. A few <strong>farmers</strong> reported that when<br />

they see yellow <strong>rice</strong> plants <strong>in</strong> the field, they stick Chromolaena odorata branches <strong>in</strong>to<br />

the ground upright to make a fence around the yellow <strong>rice</strong>, which then turns green<br />

with<strong>in</strong> a week. C. adorata, called kanthra<strong>in</strong>g khait <strong>in</strong> Khmer, is usually not cultivated.<br />

Joshi et a1 (1994) reported that some <strong>farmers</strong> chop up the leaves <strong>of</strong> C. orlorata,<br />

eucalyptus, or papaya and broadcast them <strong>in</strong> the <strong>rice</strong>field to drive away crabs or <strong>in</strong>sects.<br />

Eucalyptus oils are known to repel ants (Jahn 1991). but the <strong>in</strong>sect repellent<br />

properties <strong>of</strong> papaya and C. odorata are unknown. Surpris<strong>in</strong>gly, no one has reported<br />

Cambodian <strong>rice</strong> <strong>farmers</strong> us<strong>in</strong>g the neem tree (Azadirachta <strong>in</strong>dica) for pest control,<br />

although some <strong>farmers</strong> use neem leaves to help preserve stored gra<strong>in</strong>. The neem tree<br />

is common <strong>in</strong> the country and neem parts are used <strong>in</strong> the traditional Khmer diet and<br />

medic<strong>in</strong>e. Neem leaves and extracts are well documented to have adverse effects on<br />

many <strong>in</strong>sects (Lim and Bottrell 1994).<br />

Unusual pest <strong>management</strong> practices. Several <strong>farmers</strong> reported that they treat pest<br />

problems by apply<strong>in</strong>g handfuls <strong>of</strong> fertilizer, ashes, or salt to the damaged area. Many<br />

use smoke to drive away <strong>rice</strong> bugs and other <strong>in</strong>sects. Some <strong>farmers</strong> unw<strong>in</strong>d old videotape<br />

and encircle their fields with it to keep the birds away. As the tape flutters <strong>in</strong> the<br />

w<strong>in</strong>d and reflects sunlight, it scares the birds. Some <strong>farmers</strong> mix fish oil with crushed<br />

<strong>rice</strong> bugs to attract other <strong>rice</strong> bugs to traps (Rapusas et al 1989).<br />

<strong>in</strong>formation transfer<br />

Many <strong>farmers</strong> (60%) reported receiv<strong>in</strong>g their pest <strong>management</strong> advice from their neighbors,<br />

whereas only 22% obta<strong>in</strong> advice from extension workers (Fig. 2). One farmer<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> lowland <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Cambodia 45


Fig. 2. Sources <strong>of</strong> pest control advice for lowland <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Cambodia.<br />

Some <strong>farmers</strong> receive advice from more than one source; therefore,<br />

the sum <strong>of</strong> percentages exceeds 100%. N = neighbors, Ra = radio,<br />

E = extension, TV = television, P = pesticide seller, Re = relatives.<br />

said he did not seek advice—<strong>in</strong>stead, he performs his own experiments to see what<br />

works best.<br />

Farmers were asked what subjects they would like to know more about. About<br />

35% had questions about pests, 30% wanted to know about fertilizers, 20% had no<br />

questions, 18% had questions about pesticides, and the rema<strong>in</strong>der were <strong>in</strong>terested <strong>in</strong><br />

farm <strong>management</strong>. When asked how they would like to get this <strong>in</strong>formation, 45% said<br />

<strong>in</strong> school or a tra<strong>in</strong><strong>in</strong>g program, 23% reported radio, 23% mentioned pamphlets or<br />

magaz<strong>in</strong>es, 7% <strong>in</strong>dicated TV, and 1 % specified extension. Some respondents mentioned<br />

more than one preferred means <strong>of</strong> receiv<strong>in</strong>g <strong>in</strong>formation. About 6% expressed<br />

no <strong>in</strong>terest <strong>in</strong> receiv<strong>in</strong>g additional <strong>in</strong>formation. The relatively strong desire to learn <strong>in</strong><br />

school or attend a tra<strong>in</strong><strong>in</strong>g program suggests that such programs could have a significant<br />

impact <strong>in</strong> Cambodia.<br />

Relationships and patterns <strong>in</strong> pest <strong>management</strong><br />

Yield and pest control. Farmers were asked how much <strong>rice</strong> they harvested from their<br />

largest field <strong>in</strong> the previous season. National average DS yields <strong>of</strong> 2.5 t ha -1 were<br />

significantly higher than average WS yields <strong>of</strong> 1.3 t ha -1 (P


Table 4. Lowland yield differences <strong>in</strong> relation to pest control and fertilizer use a .<br />

Dry season<br />

Wet season<br />

n Mean P SD n Mean P SD<br />

yield<br />

yield<br />

(t ha -1 ) (t ha -1 )<br />

<strong>Pest</strong> control 270 2.4


Table 7. Lowland yield differences <strong>in</strong> relation to pesticide among pesticide users and nonusers.<br />

Dry season<br />

Wet season<br />

Mean<br />

Mean<br />

n yield P SD n yield P SD<br />

(t ha -1 ) (t ha -1 )<br />

<strong>Pest</strong> control 181 2.5 0.43 1.49 351 1.1


I<br />

Implications for research<br />

Rice pest constra<strong>in</strong>ts. Farmers named more than 50 pests that cause problems <strong>in</strong> their<br />

<strong>rice</strong>fields. With the exception <strong>of</strong> umbrella sedge, no s<strong>in</strong>gle <strong>in</strong>sect pest or disease was<br />

cited as a problem by more than half the <strong>farmers</strong> <strong>in</strong> either season. To determ<strong>in</strong>e which<br />

pests named by <strong>farmers</strong> actually affect yields negatively, we are conduct<strong>in</strong>g a <strong>rice</strong><br />

pest constra<strong>in</strong>t study. We are collect<strong>in</strong>g and identify<strong>in</strong>g pests from five DS and 15 WS<br />

<strong>rice</strong>fields four times per season for four years. By relat<strong>in</strong>g the <strong>in</strong>formation on pest<br />

abundance <strong>in</strong> each field to the yields <strong>in</strong> each field, we will detect which pests suppress<br />

yields. Tungro-like symptoms were reported <strong>in</strong> both the WS and DS, which led to a<br />

search for tungro <strong>in</strong> Cambodia. <strong>IRRI</strong> virologist Ossmat Azzam, through immunological<br />

tests, has positively determ<strong>in</strong>ed the presence <strong>of</strong> tungro virus, although at low levels.<br />

Effects <strong>of</strong> pest <strong>management</strong> practices on yields. We will conduct the same analysis<br />

on the <strong>rice</strong> pest constra<strong>in</strong>t yield data that we conducted on the survey yield data to<br />

see whether the relationship between fertilizers, pesticides, and yield is the same. In<br />

addition, we will conduct replicated field trials compar<strong>in</strong>g the yields <strong>of</strong> untreated<br />

plots, plots treated with pesticides by <strong>farmers</strong> follow<strong>in</strong>g their usual practices, and<br />

plots treated with pesticides based on the economic thresholds described by Reissig<br />

et a1 (1985).<br />

Botanical control. More than 20% <strong>of</strong> WS <strong>farmers</strong> consider crabs a pest problem.<br />

Some <strong>farmers</strong> reported that plac<strong>in</strong>g pieces <strong>of</strong> a cactus <strong>in</strong> the water prevents crab damage.<br />

We are conduct<strong>in</strong>g experiments to see whether this technique has merit.<br />

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Programme. 277 p.<br />

White PF, Oberthur, Sovuthy P. 1996. Soils and <strong>rice</strong>. In: Nesbitt HJ, editor. Rice production <strong>in</strong><br />

Cambodia. Phnom Penh (Cambodia): University Press. p 36-57.<br />

Yech P. 1994. A study on pesticides <strong>in</strong> Cambodia and use habits <strong>of</strong> Cambodian <strong>farmers</strong>. B.S.<br />

thesis. The Royal University <strong>of</strong> Agriculture, Phnom Penh, Cambodia. 32 p. (In Khmer.)<br />

Notes<br />

Authors’ addresses: G.C. Jahn, <strong>International</strong> Rice Research Institute, Cambodia-<strong>IRRI</strong>-Australia<br />

Project, P.O. Box 1, Phnom Penh, Cambodia; P. Sophea, K. Bunnarith, and P. Chanthy,<br />

Department <strong>of</strong> Agronomy, M<strong>in</strong>istry <strong>of</strong> Agriculture, Forestry, and Fisheries (MAFF), 14<br />

Monireth Street, Phnom Penh, Cambodia.<br />

Ackowledgments: We thank the M<strong>in</strong>istry <strong>of</strong> Agriculture, Forestry, and Fisheries, and the prov<strong>in</strong>cial<br />

agricultural <strong>of</strong>fices for help<strong>in</strong>g to coord<strong>in</strong>ate visits to remote villages, particularly<br />

<strong>in</strong> areas where there were security risks. Ms. Chhem Chantha, Mr. Hor Sophal, Mr. Khiev<br />

Chan Theavy, Mr. Khuon Samoeun, Mr. Men Chhon, Mr. Nhem Sokha, Mr. San Vuthy,<br />

Ms. Seung Keo Viseth, Mr. Som Sarun, Mr. Soun Kimsan, and Ms. Suy Sakunthea <strong>of</strong> the<br />

Department <strong>of</strong> Agronomy and the prov<strong>in</strong>cial agricultural <strong>of</strong>fices helped conduct <strong>in</strong>terviews<br />

and we are grateful for this assistance. We also thank the staff <strong>of</strong> PRASAC 3 <strong>in</strong> Svay<br />

Rieng for conduct<strong>in</strong>g <strong>in</strong>terviews.<br />

We appreciate the helpful editorial comments <strong>of</strong> Dr. K.L. Heong, Ms. Carolyn Dedolph,<br />

and Dr. M.M. Escalada. Special thanks go to Dr. Harry Nesbitt for access to unpublished<br />

data on land m<strong>in</strong>es; and to Mr. Joseph Rickman, Mr. Kent Helmers, Dr. Peter White, Dr.<br />

Edw<strong>in</strong> Javier, and Dr. G.S. Sidhu for useful suggestions on the survey format and data<br />

analysis. This study was a collaborative effort among the Cambodian Department <strong>of</strong><br />

Agronomy, <strong>IRRI</strong>, and the Australian Agency for <strong>International</strong> Development (AusAID);<br />

the Government <strong>of</strong> Australia, through AusAID, funded the research.<br />

Citation: Heong KL, Escalada MM, editors. 1997. <strong>Pest</strong> <strong>management</strong> <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong>.<br />

Manila (Philipp<strong>in</strong>es): <strong>International</strong> Rice Research Institute.<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> lowland <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Cambodia 51


CHAPTER 3<br />

<strong>Pest</strong> <strong>management</strong> practices<br />

<strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Hunan, Ch<strong>in</strong>a<br />

Li Shao-Shi, Guo Yu-Jie, Hu Guc-Wen, and Liang Di-Yun<br />

A survey <strong>of</strong> <strong>rice</strong> <strong>farmers</strong>’ knowledge, attitudes, and practices <strong>of</strong> <strong>in</strong>tegrated<br />

pest <strong>management</strong> was conducted <strong>in</strong> Wangcheng County, Hunan<br />

Prov<strong>in</strong>ce, Ch<strong>in</strong>a, <strong>in</strong> 1991. Two hundred sixty-six <strong>farmers</strong> were <strong>in</strong>terviewed.<br />

Most (93%) <strong>of</strong> the <strong>farmers</strong> believed they could not control<br />

<strong>in</strong>sect pests without us<strong>in</strong>g pesticides, which they applied 9.9 times<br />

per year on average. Seven percent <strong>of</strong> them believed beneficial <strong>in</strong>sects<br />

could keep pest populations from develop<strong>in</strong>g, but only 8% knew<br />

about parasitoids. Many (62%) obta<strong>in</strong>ed pest <strong>management</strong> <strong>in</strong>formation<br />

from the local technology extension station. But when actually<br />

mak<strong>in</strong>g a pest control decision, about half relied on their own experience<br />

or that <strong>of</strong> a neighbor’s. Two-thirds <strong>of</strong> the <strong>farmers</strong> had not<br />

attended any pest <strong>management</strong> tra<strong>in</strong><strong>in</strong>g.<br />

Introduction<br />

To improve pest <strong>management</strong> <strong>in</strong> <strong>rice</strong> <strong>in</strong> Ch<strong>in</strong>a, emphasis has been placed on develop<strong>in</strong>g<br />

new control techniques and pest forecast<strong>in</strong>g methods (Du 1991). Although many<br />

advances have been made through these efforts, large gaps still exist between research<br />

f<strong>in</strong>d<strong>in</strong>gs and <strong>farmers</strong>’ practices. Studies done by the Institute <strong>of</strong> Agricultural<br />

Economics, Ch<strong>in</strong>ese Academy <strong>of</strong> Agricultural Sciences, revealed that <strong>farmers</strong> can use<br />

only about 30% <strong>of</strong> the research f<strong>in</strong>d<strong>in</strong>gs <strong>in</strong> agriculture because <strong>of</strong> constra<strong>in</strong>ts <strong>in</strong> the<br />

<strong>in</strong>teractions among research, extension, and <strong>farmers</strong> (Zhu 1992). To rectify this situation,<br />

a program for enhanc<strong>in</strong>g agricultural development has been launched to make<br />

the results <strong>of</strong> scientific research—<strong>in</strong>clud<strong>in</strong>g those <strong>of</strong> <strong>in</strong>tegrated pest <strong>management</strong> (IPM)<br />

studies-available to farm households. An important first step <strong>in</strong> implement<strong>in</strong>g IPM<br />

is to understand what <strong>farmers</strong> th<strong>in</strong>k, perceive, and practice.<br />

Researchers have carried out different types <strong>of</strong> surveys <strong>in</strong> Ch<strong>in</strong>a (Xu 1989). It<br />

was not until this survey, however, that <strong>farmers</strong>’ decision mak<strong>in</strong>g and their knowledge,<br />

attitudes, and practices <strong>in</strong> <strong>rice</strong> pest <strong>management</strong> <strong>in</strong> Hunan Prov<strong>in</strong>ce were studied,<br />

such as <strong>in</strong> the surveys conducted by Lits<strong>in</strong>ger et al (1980), Heong (1984), and<br />

Escalada and Heong (1993). Information gathered through these surveys can be use-<br />

53


Fig. 1. Location <strong>of</strong> survey sites <strong>in</strong> Wangcheng County, Hunan Prov<strong>in</strong>ce.<br />

ful for identify<strong>in</strong>g gaps between what is known <strong>in</strong> research and farmer’s practices so<br />

that appropriate <strong>in</strong>terventions can be developed to improve <strong>farmers</strong>’ pest <strong>management</strong><br />

decision mak<strong>in</strong>g.<br />

Survey site<br />

Hunan Prov<strong>in</strong>ce, which is south <strong>of</strong> the middle part <strong>of</strong> the Yangtze River, is one <strong>of</strong> the<br />

largest prov<strong>in</strong>ces <strong>in</strong> Ch<strong>in</strong>a, where <strong>farmers</strong> grow a double crop <strong>of</strong> hybrid <strong>rice</strong>. Of the<br />

prov<strong>in</strong>ce’s 2.6 million ha <strong>of</strong> <strong>rice</strong>land, 21% is planted to hybrid varieties <strong>in</strong> the first<br />

cropp<strong>in</strong>g season and 83% <strong>in</strong> the second cropp<strong>in</strong>g season. Yields average 5.8 t ha -1<br />

season -1 (Hunan Yearbook 199 1).<br />

Wangcheng County, which is near the prov<strong>in</strong>cial capital <strong>of</strong> Changsha (Fig. l),<br />

was chosen as the survey site because it reflects the general conditions <strong>in</strong> Hunan<br />

Prov<strong>in</strong>ce, <strong>in</strong>clud<strong>in</strong>g hav<strong>in</strong>g an efficient irrigation system.<br />

The county's population <strong>in</strong> 1990 was 757,400, with 90% work<strong>in</strong>g as <strong>farmers</strong>.<br />

The mean annual temperature is 16.4 °C and the mean annual precipitation is 1,500<br />

mm.<br />

The county’s total <strong>rice</strong> area is 37,700 ha, account<strong>in</strong>g for 91% <strong>of</strong> the cultivated<br />

land. Most <strong>of</strong> the varieties planted are bred <strong>in</strong> Hunan Prov<strong>in</strong>ce and are high-yield<strong>in</strong>g.<br />

Generally, <strong>in</strong>dica Xianzhao series and the hybrid Weiyou are used for the first crop,<br />

whereas <strong>in</strong>dica varieties Yuchi 231-8, Xiangwan 1. and hybrids Weiyou 64, Weiyou<br />

35, and Xianyou 64 are planted for the second crop.<br />

54 Shao-Shi et al


Methods<br />

We <strong>in</strong>terviewed <strong>in</strong>dividuals for the survey. The questionnaire conta<strong>in</strong>ed 42 questions,<br />

and was pretested on 42 <strong>farmers</strong> and revised five times by subject-matter specialists<br />

and extension workers <strong>in</strong> the Plant Protection Center <strong>of</strong> Wangcheng County.<br />

Agrotechnicians, who were tra<strong>in</strong>ed for one day on the survey, carried out the<br />

<strong>in</strong>terviews <strong>in</strong> April-May 1991. They randomly selected 266 farm households <strong>in</strong> 11<br />

villages distributed <strong>in</strong> n<strong>in</strong>e townships for the survey. Data were analyzed at the Crop<br />

<strong>Pest</strong> Forecast<strong>in</strong>g Station <strong>in</strong> Hunan Prov<strong>in</strong>ce.<br />

Results<br />

Sociodemographic pr<strong>of</strong>ile<br />

Land <strong>in</strong> Wangcheng County is distributed to <strong>farmers</strong> based on their family size. The<br />

average household size is 2.5 persons, with each hav<strong>in</strong>g an average <strong>of</strong> 0.25 ha <strong>of</strong><br />

cultivatable land, 90% <strong>of</strong> which is planted to <strong>rice</strong>. Among the household heads, 59%<br />

attended primary school, 29% middle school, 8% high school, and 1% technical secondary<br />

school; 4% were illiterate.<br />

These <strong>farmers</strong> commonly plant two <strong>rice</strong> crops per year. Yields average 6.6 t ha -1<br />

crop -1 , about 15% more than the prov<strong>in</strong>cial average. The fieldwork is ma<strong>in</strong>ly done by<br />

30–40-year-old men (35%), followed by those under 30 years old (25%), and then<br />

those 41-50 years old (20%). Many women are also actively <strong>in</strong>volved <strong>in</strong> farm<strong>in</strong>g,<br />

with 64% <strong>of</strong> those surveyed perform<strong>in</strong>g support<strong>in</strong>g labor and 5% do<strong>in</strong>g all the fieldwork.<br />

N<strong>in</strong>eteen percent do not do any fieldwork.<br />

Knowledge on pest <strong>management</strong><br />

<strong>Pest</strong>s and natural enemies. Farmers considered sheath blight, caused by Rhizoctonia<br />

solani, to be their most important disease, followed by <strong>rice</strong> blast, caused by Pyricularia<br />

oryzae, and bacterial leaf blight, caused by Xanthomonas campestris pv. oryzae. Among<br />

<strong>in</strong>sect pests, <strong>rice</strong> planthoppers—ma<strong>in</strong>ly brown planthopper Nilaparvata lugens and<br />

whitebacked planthopper Sogatella furcifera— were reported as the major pest, followed<br />

by striped stem borer Chilo suppressalis and <strong>rice</strong> leaffolder Cnaphalocrocis<br />

med<strong>in</strong>alis. The most important <strong>rice</strong> weed cited was barnyard grass Ech<strong>in</strong>ochloa crusgalli<br />

(Tables 1 and 2).<br />

More than 90% <strong>of</strong> the <strong>farmers</strong> <strong>in</strong>terviewed knew <strong>rice</strong> sheath blight, <strong>rice</strong><br />

planthoppers, and <strong>rice</strong> leaffolder, whereas only 5% could identify bacterial leaf streak<br />

and 29% could identify brown spot. These f<strong>in</strong>d<strong>in</strong>gs imply that more <strong>farmers</strong> know<br />

about <strong>in</strong>sect pests than diseases (Table 2).<br />

When asked about natural enemies, <strong>farmers</strong> most <strong>of</strong>ten cited frogs (93%) and<br />

spiders (38%). Thirty-two percent <strong>of</strong> them also specified birds as be<strong>in</strong>g beneficial<br />

creatures. Only one farmer knew that the lady beetle Micraspis discolor is a predator,<br />

with some even say<strong>in</strong>g it is a pest because it eats <strong>rice</strong> pollen. Eight percent <strong>of</strong> the<br />

<strong>farmers</strong> knew the hymenopterous parasitoids. Nearly three-fourths believed that beneficial<br />

<strong>in</strong>sects can control pests.<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Hunan, Ch<strong>in</strong>a 55


Table 1. Farmers' perceptions <strong>of</strong> the seriousness <strong>of</strong> the major pests they recognized. Wangcheng<br />

County, Hunan Prov<strong>in</strong>ce, Ch<strong>in</strong>a, 1991 (n=266).<br />

<strong>Pest</strong><br />

Very serious Serious Not so serious<br />

Total<br />

No. % No. % No. % (%)<br />

Diseases<br />

Sheath blight 251 94.4 8 3.0 4 1.5 98.9<br />

Rice blast 8 3.0 106 39.9 8 3.0 45.9<br />

Bacterial blight 4 1.5 29 10.9 38 14.3 26.7<br />

False smut 1 0.4<br />

0.4<br />

Bacterial leaf streak 7 2.6 2 0.8 3.4<br />

Akagere disease 4 1.5 1 0.4 1.9<br />

Brown spot 3 1.1<br />

1.1<br />

Sclerotium blight<br />

1 0.4<br />

0.4<br />

Downy mildew 1 0.4 1 0.4 0.8<br />

Seedl<strong>in</strong>g blight 1 0.4 11 4.1 4.5<br />

Insects<br />

Planthoppers 188 70.7 47 17.7 27 10.2 98.5<br />

Striped stem borer 35 13.2 101 38.0 62 23.3 74.4<br />

Rice leaffolder 35 13.2 75 28.2 93 35.0 76.3<br />

Thrips 8 3.0 1 0.4 4 1.5 4.9<br />

Leafhopper 20 7.5 5 1.9 9.4<br />

Rice bug 1 0.4 0.4<br />

Weeds<br />

Barnyard grass<br />

Ground chestnut<br />

Blurush<br />

Knotgrass<br />

Monochoria<br />

Water clover<br />

Sedge<br />

Pondweed<br />

109 41.0 51 19.2 15 5.6 65.8<br />

49 18.4 25 9.4 9 3.4 31.2<br />

31 11.7 41 15.4 17 6.4 33.5<br />

19 7.1 28 10.5 13 4.9 22.6<br />

15 5.6 23 8.7 20 7.5 21.8<br />

11 4.1 16 6.0 20 7.5 17.7<br />

5 1.9 3 1.1 4 1.5 4.5<br />

2 0.8 3 1.1 7 2.6 4.5<br />

Table 2. Farmers recogniz<strong>in</strong>g pests and natural enemies, Wangcheng<br />

County, Hunan Prov<strong>in</strong>ce, Ch<strong>in</strong>a, 1991 (n=266).<br />

Target<br />

(%) SD <strong>in</strong> villages (±)<br />

Diseases<br />

Sheath blight 97.0 3.8<br />

Bacterial blight 56.4 28.8<br />

Rice blast 56.0 34.8<br />

Bacterial stripe 4.5 10.7<br />

Brown rot 29.1 21.1<br />

Insect pests<br />

Planthoppers 98.1 3.2<br />

Rice leaffolder 91.0 11.7<br />

Striped stem borer 79.7 18.7<br />

Rice thrips 67.7 21.1<br />

Natural enemies<br />

Frogs 93.2 36.1<br />

Spiders 37.6 32.4<br />

Dragonflies 7.9 17.6<br />

Parasitoids 7.5 10.3<br />

Ladybirds 0.4 0.7<br />

56 Shao-Shi et al


Table 3. Percentage <strong>of</strong> <strong>farmers</strong> report<strong>in</strong>g difficulties <strong>in</strong> mak<strong>in</strong>g decisions about <strong>rice</strong> pest control,<br />

Wangcheng County, Hunan Prov<strong>in</strong>ce, Ch<strong>in</strong>a, 1991 (n=266).<br />

Farmers<br />

Implement<strong>in</strong>g<br />

Township <strong>in</strong>terviewed Tim<strong>in</strong>g <strong>of</strong> economic Recogniz<strong>in</strong>g<br />

(no.) spray<strong>in</strong>g threshold symptoms<br />

levels<br />

Chengguanzhen 28 100.0 57.1 75.0<br />

Gaotang 26 96.2 88.5 92.3<br />

P<strong>in</strong>gtang 28 46.4 0.0 14.3<br />

Lianhua 24 62.5 4.2 12.5<br />

Bairuo 41 39.0 73.2 56.1<br />

Tongguan 25 60.0 0.0 4.0<br />

J<strong>in</strong>ggang 47 55.3 10.6 8.5<br />

Xian<strong>in</strong>g A 25 60.0 88.0 56.0<br />

Xian<strong>in</strong>g B 22 86.4 27.3 13.6<br />

Average 64.7 38.7 36.5<br />

Target<strong>in</strong>g Choos<strong>in</strong>g Select<strong>in</strong>g No<br />

Township pests methods pesticides op<strong>in</strong>ion<br />

Chengguanzhen 92.9 14.3 10.7 0.0<br />

Gaotang 30.8 53.9 61.5 0.0<br />

P<strong>in</strong>gtang 14.3 0.0 14.3 17.9<br />

Lianhua 45.8 8.3 12.5 4.2<br />

Bairuo 41.5 19.5 56.1 0.0<br />

Tongguan 24.0 4.0 4.0 4.0<br />

J<strong>in</strong>ggang 12.8 2.1 8.5 19.2<br />

Xian<strong>in</strong>g A 12.0 0.0 56.0 8.0<br />

Xian<strong>in</strong>g B 4.6 4.6 13.6 9.1<br />

Average 30.8 11.7 33.8 7.5<br />

Chemical control. Some 69% <strong>of</strong> the <strong>farmers</strong> for the first crop and 97% for the<br />

second crop believed that pests can cause serious yield losses without chemical control.<br />

Nearly all (94%) thought pests can only be controlled by us<strong>in</strong>g pesticides.<br />

Farmers were also asked about their views on not us<strong>in</strong>g pesticides dur<strong>in</strong>g the first<br />

30 days after transplant<strong>in</strong>g. Most (66% for the first crop and 94% for the second crop)<br />

thought it was impossible to obta<strong>in</strong> high yields without apply<strong>in</strong>g pesticides dur<strong>in</strong>g<br />

this period.<br />

Farmers’ difficulties <strong>in</strong> decision mak<strong>in</strong>g for pest control were also <strong>in</strong>vestigated.<br />

Farmers considered determ<strong>in</strong><strong>in</strong>g a spray<strong>in</strong>g schedule, recogniz<strong>in</strong>g symptoms caused<br />

by targeted pests, and implement<strong>in</strong>g economic threshold levels as areas <strong>in</strong> which they<br />

had difficulties. Many believed that determ<strong>in</strong><strong>in</strong>g the targeted pests for control and<br />

select<strong>in</strong>g pesticides were the most difficult decisions to make (Table 3).<br />

<strong>Pest</strong> control practices and attitudes<br />

In 1990, <strong>farmers</strong> applied pesticides an average <strong>of</strong> 10 times per season: 3.8 times <strong>in</strong><br />

seedbeds to control thrips Baliothrips biformis, striped stem borer, and diseases, and<br />

6.2 times <strong>in</strong> <strong>rice</strong>fields to control <strong>rice</strong> planthoppers and sheath blight. Twenty-two<br />

percent <strong>of</strong> the <strong>farmers</strong> reported hav<strong>in</strong>g been lightly poisoned or becom<strong>in</strong>g ill after<br />

exposure to pesticides.<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Hunan, Ch<strong>in</strong>a 57


Dur<strong>in</strong>g the head<strong>in</strong>g stage <strong>of</strong> the second crop <strong>in</strong> 1990, <strong>farmers</strong> reported apply<strong>in</strong>g<br />

isoprocarb (70%), methamidophos (40%), MTMC (22%), “J<strong>in</strong>ggangmyc<strong>in</strong>” (a locally<br />

made product)(20%), Shachong Shuang (chemical name: (1,3)-bis (sodium thiosulfate)-Z-dimethylam<strong>in</strong>opropane)(9%),<br />

and iprobenfos (4%). Isoprocarb and<br />

methamidophos were be<strong>in</strong>g used to control <strong>in</strong>sects and J<strong>in</strong>ggangmyc<strong>in</strong> to control<br />

sheath blight. A few <strong>farmers</strong> were still us<strong>in</strong>g illegal chlordimeform and carb<strong>of</strong>uran.<br />

Some <strong>of</strong> the applications were a mixture <strong>of</strong> different pesticides. Farmers bought most<br />

(92%) <strong>of</strong> the pesticides from local state-run agroproduct supply corporations.<br />

When mix<strong>in</strong>g pesticides, 57% <strong>of</strong> the <strong>farmers</strong> measured the chemicals us<strong>in</strong>g bottle<br />

caps, 21% with measur<strong>in</strong>g cups, and 22% estimated the amounts without us<strong>in</strong>g any<br />

measur<strong>in</strong>g tool.<br />

Rat control was primarily done after transplant<strong>in</strong>g the second crop, with about<br />

one-third <strong>of</strong> the <strong>farmers</strong> us<strong>in</strong>g poison bait and half rely<strong>in</strong>g on their cats. About 20%<br />

reported do<strong>in</strong>g noth<strong>in</strong>g.<br />

As labor is still plentiful <strong>in</strong> the area, 97% <strong>of</strong> the <strong>farmers</strong> reported us<strong>in</strong>g hand<br />

weed<strong>in</strong>g to control weeds, but only 3% used herbicides.<br />

When select<strong>in</strong>g pesticides, 42% relied on their own experiences and 39% on the<br />

recommendations from the local Agro-technical Extension Station (LATES). Five<br />

percent <strong>of</strong> the <strong>farmers</strong> said they read the pesticide bottle labels for reference, and 2%<br />

said they relied on recommendations from pesticide dealers. Some used the advice <strong>of</strong><br />

their relatives and friends (9%).<br />

Sources <strong>of</strong> <strong>in</strong>formation for manag<strong>in</strong>g pests<br />

Farmers obta<strong>in</strong>ed <strong>in</strong>formation on pest control from different sources (Fig. 2). The<br />

county agricultural technical extension system, which <strong>in</strong>cludes a plant protection unit<br />

and a pest forecast<strong>in</strong>g station, forecasts pest problems and makes pest control recommendations<br />

to <strong>farmers</strong>. Most <strong>of</strong> the <strong>farmers</strong> (61%) got their <strong>in</strong>formation from township<br />

extension personnel through visits to their homes. village meet<strong>in</strong>gs, and radio<br />

broadcasts. Twenty-eight percent <strong>of</strong> the <strong>farmers</strong> observed their neighbors to obta<strong>in</strong><br />

<strong>in</strong>formation.<br />

After receiv<strong>in</strong>g <strong>in</strong>formation about pest control, <strong>farmers</strong> responded <strong>in</strong> different<br />

ways: 42% acted on the extension system’s recommendation, 30% based on their<br />

own experiences, and 21% after observ<strong>in</strong>g the actions <strong>of</strong> their neighbors. Only 2%<br />

used economic threshold levels as a guide, and 4% relied on calendar spray<strong>in</strong>g. Before<br />

tak<strong>in</strong>g control actions, 62% <strong>of</strong> the <strong>farmers</strong> reported go<strong>in</strong>g <strong>in</strong>to the fields themselves<br />

to look, 29% observed on the edge <strong>of</strong> the field, and 4% asked other people to<br />

observe for them. Five percent <strong>of</strong> the <strong>farmers</strong> said they did noth<strong>in</strong>g after <strong>in</strong>spect<strong>in</strong>g<br />

their fields (Fig. 2).<br />

Farmer tra<strong>in</strong><strong>in</strong>g<br />

Forty-one percent <strong>of</strong> the <strong>farmers</strong> had never attended the tra<strong>in</strong><strong>in</strong>g course on pest <strong>management</strong><br />

organized by the extension system; 16% had been given on-farm guidance.<br />

More than 70% <strong>of</strong> those attend<strong>in</strong>g the tra<strong>in</strong><strong>in</strong>g had passed on the knowledge they<br />

ga<strong>in</strong>ed to their neighbors and family members. In terms <strong>of</strong> education methods, 58%<br />

58 Shao-Shi et al


Fig. 2. Farmers’ use <strong>of</strong> <strong>in</strong>formation sources for mak<strong>in</strong>g decisions on pest control<br />

(n=266).<br />

preferred watch<strong>in</strong>g demonstrations, 19% opted for attend<strong>in</strong>g tra<strong>in</strong><strong>in</strong>g courses, and<br />

14% expressed <strong>in</strong>terest <strong>in</strong> study<strong>in</strong>g technical materials on their own.<br />

Discussion<br />

The economy <strong>of</strong> Wangcheng County ma<strong>in</strong>ly relies on agriculture, particularly <strong>rice</strong><br />

production. Farmers have been mak<strong>in</strong>g the transition from traditional to modem agriculture<br />

dur<strong>in</strong>g the past few years. Improv<strong>in</strong>g <strong>farmers</strong>’ knowledge and skills is critical<br />

for further economic development.<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Hunan, Ch<strong>in</strong>a 59


Fu (1994) found that <strong>of</strong> 17 new techniques presented to <strong>farmers</strong> <strong>in</strong> Hunan Prov<strong>in</strong>ce,<br />

an average <strong>of</strong> 21% <strong>of</strong> the farm households adopted them. Nearly all (95%) adopted<br />

hybrid varieties, 56% used plastic films for cover<strong>in</strong>g fields, but only 21% adopted<br />

IPM. To understand the relationship between techniques and adoption rates, Fu classified<br />

techniques as simple and complex. The mean adoption rate for simple techniques<br />

(38%) was significantly higher than that for complex techniques (17%). The<br />

adoption rate for simple techniques was not related to education level, while that for<br />

complex techniques was related to education level. IPM was considered a complex<br />

technique.<br />

The survey results <strong>in</strong>dicated that <strong>farmers</strong> lacked knowledge on natural enemies,<br />

economic thresholds, and yield loss estimation, and that they also overestimated the<br />

damage caused by leaf-feed<strong>in</strong>g <strong>in</strong>sects. Nearly three-fourths <strong>of</strong> them thought that<br />

spray<strong>in</strong>g pesticides was the only effective way to control pests, and only 2% believed<br />

that resistant varieties could reduce pesticide applications. More than 70% sprayed<br />

pesticides with<strong>in</strong> 30 days after transplant<strong>in</strong>g. These results <strong>in</strong>dicate that it would be<br />

difficult to implement IPM without first improv<strong>in</strong>g <strong>farmers</strong>' knowledge and attitudes<br />

toward IPM.<br />

In places <strong>in</strong> Ch<strong>in</strong>a other than Hunan, an agricultural technical extension system<br />

is responsible for dissem<strong>in</strong>at<strong>in</strong>g <strong>in</strong>formation to <strong>farmers</strong>. The system has used traditional<br />

approaches for gett<strong>in</strong>g <strong>in</strong>formation to <strong>farmers</strong>, such as village meet<strong>in</strong>gs, radio<br />

broadcasts, notice boards, and demonstration plots. Although 61 % <strong>of</strong> the <strong>farmers</strong> obta<strong>in</strong>ed<br />

<strong>in</strong>formation from these extension sources, 42% <strong>of</strong> them made decisions about<br />

pest control based on these and 40% used pesticides based on the extension recommendations.<br />

Most <strong>farmers</strong> preferred to make decisions based on their own experiences<br />

or those <strong>of</strong> their neighbors. This pattern shows <strong>farmers</strong>’ low capacity for risk<br />

tak<strong>in</strong>g and their relatively fixed m<strong>in</strong>dset to do th<strong>in</strong>gs based on their experiences.<br />

The traditional top-down approach for dissem<strong>in</strong>at<strong>in</strong>g <strong>in</strong>formation needs to be<br />

changed if <strong>farmers</strong> are to expand their knowledge and adopt IPM practices. Farmer<br />

field schools and farmer participatory research consider <strong>farmers</strong> to be the core for<br />

implement<strong>in</strong>g IPM and improv<strong>in</strong>g their knowledge through field practices and participatory<br />

experiments (Escalada and Heong 1993). These methods provide good examples<br />

<strong>of</strong> techniques to complement methods be<strong>in</strong>g used by extension.<br />

References<br />

Du Z. 1991, Tactics for <strong>in</strong>tegrated <strong>management</strong> <strong>of</strong> pests and diseases for <strong>rice</strong> <strong>in</strong> Ch<strong>in</strong>a. Zhejiang<br />

Science and Technology Press, Ch<strong>in</strong>a. (In Ch<strong>in</strong>ese.)<br />

Escalada MM, Heong KL. 1993. Communication and implementation <strong>of</strong> change <strong>in</strong> crop protection.<br />

In: Crop protection and susta<strong>in</strong>able agriculture. Ciba Foundation Symposium 177.<br />

Chichester: J. Wiley & Sons. p 191-207.<br />

Fu T. 1994. Analysis on situation and impact <strong>of</strong> <strong>farmers</strong> adopt<strong>in</strong>g agriculture. New technology<br />

<strong>in</strong> Hunan. In: Diangxian F, editor. Research on agro-tech-extension. Ch<strong>in</strong>a: Ch<strong>in</strong>a Agro.<br />

Sci. Press. p 168-174. (In Ch<strong>in</strong>ese.)<br />

Lits<strong>in</strong>ger JA, P<strong>rice</strong> EC, Herrera RT. 1980. Small farmer pest control practices for ra<strong>in</strong>fed <strong>rice</strong>,<br />

corn, and gra<strong>in</strong> legumes <strong>in</strong> three Philipp<strong>in</strong>e prov<strong>in</strong>ces. Philipp. Entomol. 5(1-2):65-86.<br />

60 Shao-Shi et al


Local Records Compile Committee <strong>of</strong> Hunan. 1991. Hunan yearbook. Ch<strong>in</strong>a: X<strong>in</strong>hua Press <strong>of</strong><br />

Hunan. p 499-500. (In Ch<strong>in</strong>ese.)<br />

Heong KL. 1984. <strong>Pest</strong> control practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Tanjung Karang, Malaysia. Insect<br />

Sci. Applic. 5:221-226.<br />

Xu W. 1989. Theory <strong>of</strong> agricultural extension. Ch<strong>in</strong>a: Beij<strong>in</strong>g Agric. Univ. Press. (In Ch<strong>in</strong>ese.)<br />

Zhu Xigang. 1992. An analysis <strong>of</strong> restrictive factors <strong>of</strong> agro-technology system <strong>in</strong> Ch<strong>in</strong>a. Manage.<br />

Agric. Sci. Technol. 5:17-21. (In Ch<strong>in</strong>ese.)<br />

Notes<br />

Authors’ addresses: Li Shao-Shi, Hunan Plant Protection and Quarant<strong>in</strong>e Station, Changsha<br />

410005, Ch<strong>in</strong>a; Guo Yu-Jie, Biological Control Institute, Ch<strong>in</strong>ese Academy <strong>of</strong> Agricultural<br />

Sciences, Beij<strong>in</strong>g 10081, Ch<strong>in</strong>a; Hu Guo-Wen, Ch<strong>in</strong>a National Rice Research Institute,<br />

Hangzhou 310006; Liang Di-Yun, General Station <strong>of</strong> Plant Protection. M<strong>in</strong>istry <strong>of</strong><br />

Agriculture, Beij<strong>in</strong>g 100026, Ch<strong>in</strong>a.<br />

Acknowledgments: The authors thank Drs. K.L. Heong and M.M. Escalada for their support for<br />

this project, Pr<strong>of</strong>. Cheng Jiaan for his helpful comments, and the seven agrotechnicians <strong>of</strong><br />

the Plant Protection Center <strong>of</strong> Wangcheng County who conducted the survey. The Swiss<br />

Agency for Development and Cooperation funded this research through the Rice IPM<br />

Network.<br />

Citation: Heong KL, Escalada MM, editors. 1997. <strong>Pest</strong> <strong>management</strong> <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong>.<br />

Manila (Philipp<strong>in</strong>es): <strong>International</strong> Rice Research Institute.<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> un Hunan, Ch<strong>in</strong>a 61


CHAPTER 4<br />

The role <strong>of</strong> women<br />

<strong>in</strong> <strong>rice</strong> pest <strong>management</strong><br />

<strong>in</strong> Zhejiang, Ch<strong>in</strong>a<br />

Hu Ruifa, Cheng Jiaan, Dong Shouzhen, and Sun Y<strong>in</strong>y<strong>in</strong><br />

Results <strong>of</strong> a farmer survey carried out <strong>in</strong> Zhejiang Prov<strong>in</strong>ce, Ch<strong>in</strong>a, <strong>in</strong><br />

1996 showed that as the rural economy developed, more women<br />

became <strong>in</strong>volved <strong>in</strong> <strong>rice</strong> pest <strong>management</strong>. But economic and social<br />

factors—particularly <strong>in</strong>come, household size, amount <strong>of</strong> farmland,<br />

men’s and women’s jobs, and age—affected the proportion <strong>of</strong> women<br />

tak<strong>in</strong>g responsibility for pest <strong>management</strong>. The technical service<br />

system (the extension system) was the ma<strong>in</strong> source <strong>of</strong> <strong>in</strong>formation<br />

women used to make decisions about pest <strong>management</strong>. Although<br />

most <strong>of</strong> the women believed they could make pest <strong>management</strong><br />

decisions based on their own experience and through the <strong>in</strong>formation<br />

provided by the technical service system, pesticides were overused<br />

ma<strong>in</strong>ly because <strong>of</strong> <strong>in</strong>accurate perceptions <strong>of</strong> the relationship<br />

between control effectiveness and pesticide use.<br />

Introduction<br />

Women’s role <strong>in</strong> produc<strong>in</strong>g <strong>rice</strong> has changed dramatically s<strong>in</strong>ce the found<strong>in</strong>g <strong>of</strong> the<br />

new Ch<strong>in</strong>a <strong>in</strong> 1949. In the old Ch<strong>in</strong>a, most <strong>farmers</strong> did not have their own land, and<br />

they had to work for landlords as hired laborers or tenants. Women were worse <strong>of</strong>f<br />

than men. They were looked down on both politically and economically (Li et al<br />

1985). If <strong>farmers</strong> had their own land to cultivate, the heads <strong>of</strong> the households—normally<br />

men—made the decisions about agricultural production; women had no say <strong>in</strong><br />

these matters (Fei 1939).<br />

In the early 1950s, a land reform campaign was launched <strong>in</strong> which all <strong>farmers</strong><br />

obta<strong>in</strong>ed their own land to work on. At the same time, the government adopted measures<br />

to ensure equal rights for both men and women. The division <strong>of</strong> labor with<strong>in</strong><br />

each family, however, varied (Li et al 1985).<br />

From the late 1950s to the end <strong>of</strong> the 1970s, farmland became collective property<br />

<strong>in</strong> an effort to <strong>in</strong>crease production. As a result, commune team leaders—rather than<br />

the <strong>in</strong>dividual <strong>farmers</strong>—made all the decisions about <strong>rice</strong> production (L<strong>in</strong> 1990).<br />

63


CHAPTER 2<br />

<strong>Pest</strong> <strong>management</strong> practices<br />

<strong>of</strong> lowland <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Cambodia<br />

G.C. Jahn, P. Sophea, K. Bunnarith, and P. Chanthy<br />

Introduction<br />

We <strong>in</strong>terviewed 1,265 lowland <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Cambodia on their<br />

pest <strong>management</strong> practices from June 1995 to April 1996. Fortythree<br />

percent <strong>of</strong> the <strong>farmers</strong> were not aware <strong>of</strong> natural enemies <strong>of</strong><br />

<strong>rice</strong> pests; 59% thought that pesticides <strong>in</strong>creased <strong>rice</strong> yields. Only<br />

19% believed the <strong>in</strong>secticide applications could produce pest outbreaks<br />

by kill<strong>in</strong>g natural enemies. More <strong>farmers</strong> applied pesticides<br />

<strong>in</strong> the dry season than <strong>in</strong> the wet season, and more men than women<br />

used pesticides. <strong>Pest</strong>icide users and nonusers did not differ significantly<br />

<strong>in</strong> average age, education, or farm<strong>in</strong>g experience. Nationally,<br />

22% <strong>of</strong> wet-season <strong>farmers</strong> and 57% <strong>of</strong> dry-season <strong>farmers</strong> used<br />

pesticides. The <strong>rice</strong> yields <strong>of</strong> pesticide users and nonusers did not<br />

differ significantly, except <strong>in</strong> the wet season among <strong>farmers</strong> who did<br />

not use fertilizers. Insecticides and rodenticides were the most commonly<br />

used pesticides. None <strong>of</strong> the <strong>farmers</strong> used fungicides. An<br />

estimated 224,000 liters <strong>of</strong> pesticides were used annually on <strong>rice</strong>.<br />

In both the wet and dry seasons, nearly half <strong>of</strong> those apply<strong>in</strong>g pesticides<br />

used a knapsack sprayer. The average reported dry-season<br />

<strong>rice</strong> yield <strong>of</strong> 2.5 t ha -1 was significantly higher than the average reported<br />

wet-season yield <strong>of</strong> 1.4 t ha -1 .<br />

<strong>Pest</strong> <strong>management</strong> <strong>in</strong> Cambodia<br />

Several surveys have been conducted <strong>in</strong> Cambodia <strong>in</strong> recent years to address aspects<br />

<strong>of</strong> determ<strong>in</strong><strong>in</strong>g <strong>farmers</strong>’ knowledge, attitudes, and practices concern<strong>in</strong>g <strong>rice</strong> pests.<br />

The first <strong>of</strong> these, made by the <strong>International</strong> Rice Research Institute <strong>in</strong> 1989 (Rapusas<br />

et al 1989), revealed that 28% <strong>of</strong> the 42 wet-season (WS) <strong>rice</strong> <strong>farmers</strong> <strong>in</strong>terviewed <strong>in</strong><br />

Takeo Prov<strong>in</strong>ce used <strong>in</strong>secticides. This survey, however, was conducted <strong>in</strong> areas where<br />

the government distributed <strong>in</strong>secticides to <strong>farmers</strong>, so the sample may have been biased<br />

<strong>in</strong> favor <strong>of</strong> <strong>in</strong>secticide use. Prom (1993) found that 40% <strong>of</strong> 60 dry-season (DS)<br />

<strong>rice</strong> <strong>farmers</strong> surveyed <strong>in</strong> Kandal Prov<strong>in</strong>ce used <strong>in</strong>secticides and that 70% believed<br />

<strong>in</strong>secticides <strong>in</strong>crease yields. Joshi et al ( 1994) reported that <strong>of</strong> the nearly 100 WS and<br />

35


tection specialists. When a pest <strong>in</strong>festation occurs, the technicians provide timely<br />

<strong>in</strong>formation about pest <strong>management</strong> to <strong>farmers</strong> (ZJNCTJNJ 1991).<br />

Methods<br />

To get a real picture <strong>of</strong> the role <strong>of</strong> women <strong>in</strong> <strong>rice</strong> pest <strong>management</strong>, a survey questionnaire<br />

was designed to obta<strong>in</strong> <strong>in</strong>formation on <strong>farmers</strong>’ characteristics, <strong>rice</strong> production,<br />

and pest <strong>management</strong>. The aim was to understand the knowledge, attitudes, and practices<br />

<strong>of</strong> women <strong>in</strong> various regions with<strong>in</strong> the prov<strong>in</strong>ce under different economic conditions.<br />

A three-stage sampl<strong>in</strong>g method (prov<strong>in</strong>ce, county, and village) was used. Fifteen<br />

counties were selected. From each county, one or two villages were selected and<br />

from each village 12–30 <strong>farmers</strong> were chosen randomly. The total sample consisted<br />

<strong>of</strong> 430 <strong>farmers</strong>.<br />

The sample counties were chosen from more developed regions <strong>in</strong> the prov<strong>in</strong>ce,<br />

such as Yuoq<strong>in</strong>g and Dongyang counties, less developed regions, <strong>in</strong>clud<strong>in</strong>g Yongkang<br />

and Yuyao counties, and poor areas, such as J<strong>in</strong>yun and Panan counties. Basic <strong>in</strong>formation<br />

on the survey villages <strong>in</strong> each county was gathered (Table 1).<br />

Dur<strong>in</strong>g the survey, both women and their husbands were <strong>in</strong>terviewed to determ<strong>in</strong>e<br />

who was the ma<strong>in</strong> decision maker on each po<strong>in</strong>t related to pest <strong>management</strong>.<br />

Table 1.<br />

Basic <strong>in</strong>formation for site <strong>in</strong>vestigated based on each county surveyed. a<br />

Farmers’<br />

family<br />

Land area Farm<strong>in</strong>g Education<br />

County Sample County Number for every Annual <strong>in</strong>come to Age <strong>of</strong> <strong>of</strong><br />

size type person <strong>in</strong>come total head head<br />

(ha) (10,000 yuan) b <strong>in</strong>come (yr)<br />

(%)<br />

J<strong>in</strong>yun 29 Mounta<strong>in</strong> 4.3 0.048 0.74 77.1 51.6 4.3<br />

Quixian 30 Hilly land 4.3 0.066 1.16 36.9 45.3 5.4<br />

Longyou 27 Hilly land 4.2 0.054 1.34 76.9 42.0 6.6<br />

Yongjia 18 Mounta<strong>in</strong> 5.8 0.031 1.39 32.0 49.4 4.3<br />

Anji 29 Pla<strong>in</strong> 3.6 0.113 1.40 49.7 40.7 4.1<br />

Panan 25 Mounta<strong>in</strong> 3.8 0.038 1.72 59.4 45.8 5.2<br />

Xiaoshan 60 Near city 4.2 0.041 1.75 17.3 47.0 5.7<br />

Jiax<strong>in</strong>g 53 Near city 4.2 0.113 1.87 52.1 43.5 6.9<br />

Yongkang 31 Pla<strong>in</strong> 3.8 0.039 1.87 26.4 46.6 5.9<br />

Yuyao 28 Pla<strong>in</strong> 4.4 0.057 1.89 57.6 45.3 5.5<br />

Yiwu 26 Pla<strong>in</strong> 4.4 0.035 2.75 14.3 45.4 6.6<br />

Zhuji 12 Pla<strong>in</strong> 3.6 0.036 2.92 22.3 43.6 8.8<br />

Ouhal 25 Near city 4.6 0.041 2.96 18.2 43.0 8.0<br />

Dongyang 18 Pla<strong>in</strong> 3.7 0.029 4.51 37.8 45.8 6.5<br />

Yuoq<strong>in</strong>g 19 Pla<strong>in</strong> 4.9 0.034 5.43 18.5 48.9 4.4<br />

a Numbers <strong>in</strong> table are average values for <strong>farmers</strong> surveyed <strong>in</strong> the sample villages except for sample size.<br />

b US$1 = 8.30 yuan <strong>in</strong> 1996.<br />

Source: Survey.<br />

The role <strong>of</strong> women <strong>in</strong> <strong>rice</strong> pest <strong>management</strong> <strong>in</strong> Zhejiang, Ch<strong>in</strong>a 65


The survey data were encoded and analyzed us<strong>in</strong>g the spreadsheet program Micros<strong>of</strong>t<br />

Excel ® .<br />

Results<br />

Role <strong>of</strong> women <strong>in</strong> pest <strong>management</strong><br />

The results <strong>of</strong> the survey <strong>in</strong>dicated that men were still the ma<strong>in</strong> decision makers on<br />

matters related to apply<strong>in</strong>g pesticides. Only 17% <strong>of</strong> the households had women mak<strong>in</strong>g<br />

decisions about pest <strong>management</strong>, whereas 6% <strong>of</strong> the households reported that<br />

both men and women made the decisions together. Only 17% <strong>of</strong> the households had<br />

women tak<strong>in</strong>g responsibility for apply<strong>in</strong>g pesticides, but 46% <strong>of</strong> the families reported<br />

that women made decisions on pest <strong>management</strong>.<br />

Women's knowledge, attitudes, and practices<br />

Major pests. The women <strong>farmers</strong> <strong>in</strong>terviewed reported that <strong>rice</strong> sheath blight (56.9%),<br />

planthoppers (42.6%), and Ech<strong>in</strong>ochloa crus-galli (58.0%) were the most severe pests;<br />

<strong>rice</strong> blast (31%), stem borer (29.5%), and Cyperaceae eleocharis (8%) were the second<br />

most severe; and <strong>rice</strong> bacterial blight (5.2%), leaffolder (19.7%), and Marsilea<br />

quadrifolia (8%) followed.<br />

Ma<strong>in</strong> control methods. Most women <strong>farmers</strong> preferred chemical control. Some<br />

93.2% <strong>of</strong> women <strong>farmers</strong> mentioned chemical control as their first control method for<br />

diseases, 87.5% used it for <strong>in</strong>sect pests, and 81.8% applied it for weed control. The<br />

next preferred control methods were us<strong>in</strong>g resistant varieties for diseases (5.7%) and<br />

<strong>in</strong>sect pests (19.3%), and manual weed<strong>in</strong>g for weed control (14.8%).<br />

Number <strong>of</strong> pesticide applications. Women <strong>farmers</strong> averaged 2.75 pesticide sprays<br />

for the first <strong>rice</strong> crop season and 3.69 for the second.<br />

Estimation <strong>of</strong> amount <strong>of</strong> pesticides to be used. Among women <strong>farmers</strong> who decided<br />

the amount <strong>of</strong> pesticides to be used based on their experience, 62.5% measured<br />

them with special tools, such as measur<strong>in</strong>g cups, whereas 35.2% simply estimated the<br />

amount. Some 15.9% would add more pesticides, because they thought that more<br />

pesticides would provide more effectiveness.<br />

Cocktail pesticides. Farmers usually preferred cocktail pesticides. Some 73.8%<br />

thought it could save labor and time by controll<strong>in</strong>g several pests together, whereas<br />

14.8% believed that cocktail pesticides were more effective. More than 61% <strong>of</strong> the<br />

women <strong>farmers</strong> mixed pesticides to make a cocktail—17.1% comb<strong>in</strong>ed three, and<br />

11.4% used more than three compounds.<br />

Attitude for early pesticide application to control leaf-feed<strong>in</strong>g <strong>in</strong>sects. Almost<br />

three-fourths (73.9%) <strong>of</strong> the women <strong>farmers</strong> <strong>in</strong>terviewed thought that damage caused<br />

by leaf-feed<strong>in</strong>g <strong>in</strong>sects at the early stage <strong>of</strong> the <strong>rice</strong> crop could result <strong>in</strong> severe yield<br />

losses and 94.6% <strong>of</strong> them believed that apply<strong>in</strong>g <strong>in</strong>secticides to control leaf-feed<strong>in</strong>g<br />

<strong>in</strong>sects at the tiller<strong>in</strong>g stage was necessary.<br />

66 Ruifa et al


Table 2. Information source for decision mak<strong>in</strong>g <strong>in</strong> <strong>rice</strong> pest <strong>management</strong>.<br />

Question<br />

Selfobservation<br />

or experience<br />

Village<br />

leaders or<br />

technicians<br />

Broadcast<strong>in</strong>g<br />

Blackboard<br />

Neighbors<br />

What pest to 46.1<br />

control<br />

When to control 20.2<br />

How many times 24.7<br />

to control<br />

Which pesticides 3.4<br />

to use<br />

How much pesticide 5.6<br />

to use<br />

Source: Survey.<br />

41.8 55.0<br />

23.6 14.0<br />

29.1 27.0<br />

2.7 1.0<br />

2.7 3.0<br />

54.6 58.6<br />

16.2 17.2<br />

27.3 21.2<br />

2.0 1.0<br />

0 2.0<br />

Information source for pest <strong>management</strong><br />

Table 2 shows the <strong>in</strong>formation sources <strong>of</strong> women <strong>farmers</strong> for pest <strong>management</strong>. More<br />

than 60% <strong>of</strong> the women obta<strong>in</strong>ed advice on pest <strong>management</strong> from technology service<br />

organizations, which <strong>in</strong>clude village leaders or technicians (29.3%) and pest<br />

control services (34.3%). Some 29.3% <strong>of</strong> the women got advice from neighbors or<br />

relatives. Only 5% <strong>of</strong> the women obta<strong>in</strong>ed the <strong>in</strong>formation from pesticide sales agents<br />

and 4% sought advice from their relatives.<br />

A comparison <strong>of</strong> the ma<strong>in</strong> <strong>in</strong>formation sources for decision mak<strong>in</strong>g on key issues<br />

<strong>in</strong> pest <strong>management</strong>, such as target pests, tim<strong>in</strong>g and number <strong>of</strong> applications, and type<br />

and amount <strong>of</strong> pesticides to be used, showed that more than half <strong>of</strong> the women <strong>farmers</strong><br />

thought that they could make decisions on the number <strong>of</strong> applications and type<br />

and amount <strong>of</strong> pesticides to be used based on their own experience. On the other<br />

hand, more than half <strong>of</strong> the women <strong>farmers</strong> <strong>in</strong>dicated that they obta<strong>in</strong>ed <strong>in</strong>formation<br />

from the technical service system for decision mak<strong>in</strong>g on tim<strong>in</strong>g <strong>of</strong> applications. Radio<br />

broadcasts were the most important <strong>in</strong>formation source, followed by village leaders<br />

and technicians.<br />

Decision-mak<strong>in</strong>g behavior<br />

More than half (59.6%) <strong>of</strong> the women <strong>farmers</strong> <strong>in</strong>dicated that they would decide to<br />

control pests if they perceived that pests would <strong>in</strong>fest their crop, whereas 30.8% <strong>of</strong><br />

them said they would make a control decision only when pest <strong>in</strong>festation actually<br />

occurred <strong>in</strong> their own field or <strong>in</strong> neighbors’ fields. This implies that their decisions to<br />

control pests were <strong>in</strong>fluenced by see<strong>in</strong>g pests (Table 3).<br />

The ma<strong>in</strong> reason given by women <strong>farmers</strong> for controll<strong>in</strong>g pests was to avoid<br />

yield losses (Table 3). Other <strong>farmers</strong> said that they would decide not to carry out<br />

control actions if they perceived the loss to be small and if they had no time. All three<br />

reasons are closely related to economic benefits, directly through yields or <strong>in</strong>directly<br />

through sav<strong>in</strong>gs <strong>in</strong> time and labor, which implies that economic benefits drive <strong>farmers</strong>’<br />

pest <strong>management</strong> decisions.<br />

The role <strong>of</strong> women <strong>in</strong> <strong>rice</strong> pest <strong>management</strong> <strong>in</strong> Zhejiang, Ch<strong>in</strong>a 67


Table 3. Women's decision-mak<strong>in</strong>g behavior <strong>in</strong> <strong>rice</strong> pest<br />

<strong>management</strong>.<br />

Frequency<br />

<strong>of</strong> mak<strong>in</strong>g<br />

decision (%)<br />

When decision was made<br />

Before plant<strong>in</strong>g 9.6<br />

Before pest occurs <strong>in</strong> own field 59.6<br />

After pest occurred <strong>in</strong> neighbors' field 13.8<br />

After pest occurred <strong>in</strong> own field 17.0<br />

Reason for control decision<br />

To avoid yield reduction<br />

Follow<strong>in</strong>g others<br />

Cadre order<br />

85.4<br />

9.0<br />

5.6<br />

Reason to not make control decision<br />

Too busy to control pest 44.8<br />

Smaller loss for pest 46.3<br />

Control cost is higher than loss 4.5<br />

<strong>Pest</strong>icide harms health 4.5<br />

Varieties have enough resistance 3.0<br />

Source: Survey.<br />

Factors affect<strong>in</strong>g women’s role <strong>in</strong> <strong>rice</strong> pest <strong>management</strong><br />

As the rural economy develops, more and more women take part <strong>in</strong> <strong>rice</strong> production<br />

and pest <strong>management</strong> activities (Lei et al 1990, Li et al 1985). Moreover, socioeconomic<br />

factors <strong>in</strong>fluence their <strong>in</strong>volvement <strong>in</strong> <strong>rice</strong> pest <strong>management</strong>.<br />

Economic factors. Farmers’ economic conditions affect the role <strong>of</strong> women <strong>in</strong><br />

decision mak<strong>in</strong>g on pest <strong>management</strong>. The data were sorted by levels <strong>of</strong> average <strong>in</strong>come<br />

per household based on total <strong>in</strong>terviewed households and the average <strong>in</strong>come<br />

per household per county. Table 4 shows that the distribution <strong>of</strong> women mak<strong>in</strong>g decisions<br />

<strong>in</strong>creased at first, then decl<strong>in</strong>ed with <strong>in</strong>creases <strong>in</strong> <strong>in</strong>come. The highest proportion<br />

<strong>of</strong> women <strong>farmers</strong> who made decisions was at an <strong>in</strong>come level <strong>of</strong> $1,800-2,400<br />

per household. The same trend was found <strong>in</strong> other counties. The highest percentage <strong>of</strong><br />

women who made decisions was <strong>in</strong> Yongkang, where average <strong>in</strong>come per family was<br />

$2,240.<br />

In general, the proportion <strong>of</strong> farm<strong>in</strong>g <strong>in</strong>come to total <strong>in</strong>come decl<strong>in</strong>ed as household<br />

<strong>in</strong>come <strong>in</strong>creased (Table 4), which <strong>in</strong>dicates that other family members, usually<br />

men, could derive <strong>in</strong>come from nonagricultural <strong>in</strong>dustries. In such a situation, women<br />

have to assume responsibility for <strong>rice</strong> production, which <strong>in</strong>cludes mak<strong>in</strong>g decisions<br />

on production and pest <strong>management</strong>. When pests are observed, women believe that it<br />

is necessary to control them.<br />

As rural economies develop, both men and women have more opportunities to<br />

work <strong>in</strong> local <strong>in</strong>dustries and their ma<strong>in</strong> <strong>in</strong>come is derived from nonagricultural <strong>in</strong>dustries.<br />

As a consequence, they transfer their lands to other <strong>farmers</strong> or hired workers to<br />

do field work. In high-<strong>in</strong>come families, the ma<strong>in</strong> decision makers are men, because<br />

68 Ruifa et al


Table 4. Changes <strong>in</strong> role <strong>of</strong> women <strong>in</strong> <strong>rice</strong> pest <strong>management</strong>.<br />

<strong>Pest</strong> <strong>management</strong><br />

Household<br />

Farmers annual<br />

surveyed <strong>in</strong>come<br />

(no.) (10,000<br />

yuan) a<br />

Farm<strong>in</strong>g<br />

<strong>in</strong>come/<br />

total<br />

Income<br />

(%)<br />

Decision<br />

mak<strong>in</strong>g<br />

(%) b<br />

<strong>Pest</strong>icide spray<strong>in</strong>g<br />

work<br />

Done by Done by<br />

women employee<br />

(%) c (%)<br />

By household <strong>in</strong>come level (10,000 yuan d )<br />

0-0.5 36<br />

0.6-1.0 122<br />

1.1-1.5 96<br />

1.6-2.0 70<br />

2.1-3.0 62<br />

3.1-5.0 26<br />

57.4<br />

49.9<br />

42.1<br />

37.0<br />

34.2<br />

26.1<br />

5.6<br />

13.1<br />

19.8<br />

27.1<br />

16.1<br />

0<br />

21.6 2.7<br />

14.8 0<br />

7.3 3.1<br />

20.0 10.0<br />

29.0 4.8<br />

20.0 12.0<br />

By county<br />

J<strong>in</strong>yun 29 0.74 77.1 20.7 13.8 0<br />

Yongria 18 1.39 32.0 27.8 50.0 0<br />

Yongkang 31 1.87 26.4 35.5 38.7 6.5<br />

Ouhai 25 2.96 18.2 12.0 44.0 32.0<br />

Dongyang 18 4.51 37.8 16.7 5.6 16.7<br />

Yuoq<strong>in</strong>g 19 5.43 18.5 10.5 5.3 15.8<br />

a Number is average data among <strong>farmers</strong> surveyed <strong>in</strong> the county.<br />

b Includes decisions made by men and women<br />

both. c Means work done by men and women by themselves. The amount <strong>of</strong> work that is done by both men and<br />

women is not <strong>in</strong>cluded. d US$1 = 8.30 yuan <strong>in</strong> 1996.<br />

Source: Survey.<br />

men have more land or women hold nonfarm<strong>in</strong>g jobs. The proportion <strong>of</strong> families <strong>in</strong><br />

which women are the major decision makers tends to decl<strong>in</strong>e with <strong>in</strong>come.<br />

Table 4 shows that when the proportion <strong>of</strong> farm<strong>in</strong>g <strong>in</strong>come to total <strong>in</strong>come was<br />

higher (over or nearly half) because <strong>of</strong> lower household <strong>in</strong>come (


Fig. 1. Impact <strong>of</strong> social factors on women’s frequency <strong>in</strong> decision mak<strong>in</strong>g for <strong>rice</strong><br />

<strong>management</strong>: (A) home size, (B) farm size, (B) women’s age, (D) job type ( £ men’s, women’s).<br />

who made decisions decreased. In families <strong>of</strong> 2-3 people, 24.8% <strong>of</strong> the women planned<br />

<strong>rice</strong> production and made pest <strong>management</strong> decisions. In families <strong>of</strong> 5-6 people, the<br />

proportion decreased to 20.6%.<br />

Farm size. Farm size reflects the farm area cultivated by each family. In Zhejiang<br />

Prov<strong>in</strong>ce, most <strong>farmers</strong> are not full-time field workers because <strong>of</strong> the small farm size—<br />

0.125-0.25 ha per family on average. Some <strong>farmers</strong> with steady jobs <strong>in</strong> other <strong>in</strong>dustries<br />

transferred their farmland to other <strong>farmers</strong>, thus <strong>in</strong>creas<strong>in</strong>g the landhold<strong>in</strong>g <strong>of</strong><br />

some <strong>farmers</strong>. Such <strong>farmers</strong> derived their <strong>in</strong>comes ma<strong>in</strong>ly from <strong>rice</strong> production. In<br />

these households, the men were the ma<strong>in</strong> workers <strong>in</strong> fields and women had fewer<br />

opportunities to make decisions. Figure 1B shows that the proportion <strong>of</strong> women who<br />

made decisions <strong>in</strong> pest <strong>management</strong> decreased as farm size <strong>in</strong>creased. When the average<br />

farmland per family is less than 0.2 ha, 32.6% <strong>of</strong> the women made decisions on<br />

<strong>rice</strong> pest <strong>management</strong>. When farmland per family is above 0.6 ha, the proportion<br />

decreased to 11.6%.<br />

Age. The role <strong>of</strong> women <strong>in</strong> pest <strong>management</strong> decision mak<strong>in</strong>g was also affected<br />

by their age. Old women are <strong>of</strong>ten traditional women who have always had a lower<br />

position <strong>in</strong> agricultural production (Wang 1996, Zhou 1996). Because their husbands<br />

or others ma<strong>in</strong>ly produce <strong>rice</strong>, these women make fewer production decisions. In<br />

contrast, younger women tend to be able to produce <strong>rice</strong> rely<strong>in</strong>g on their own knowledge<br />

and they make many production decisions. Fig. 1C shows that the proportion <strong>of</strong><br />

women who made decisions <strong>in</strong> <strong>rice</strong> pest <strong>management</strong> decreased (from 17.0% to 12.3%)<br />

as their age <strong>in</strong>creased.<br />

70 Ruifa et al


Fig. 1. Impact <strong>of</strong> social factors on women’s frequency <strong>in</strong> decision mak<strong>in</strong>g for <strong>rice</strong><br />

<strong>management</strong>: (A) home size, (B) farm size, (B) women’s age, (D) job type ( £ men’s,<br />

women’s).<br />

who made decisions decreased. In families <strong>of</strong> 2–3 people, 24.8% <strong>of</strong> the women planned<br />

<strong>rice</strong> production and made pest <strong>management</strong> decisions. In families <strong>of</strong> 5-6 people, the<br />

proportion decreased to 20.6%.<br />

Farm size. Farm size reflects the farm area cultivated by each family. In Zhejiang<br />

Prov<strong>in</strong>ce, most <strong>farmers</strong> are not full-time field workers because <strong>of</strong> the small farm size—<br />

0.125–0.25 ha per family on average. Some <strong>farmers</strong> with steady jobs <strong>in</strong> other <strong>in</strong>dustries<br />

transferred their farmland to other <strong>farmers</strong>, thus <strong>in</strong>creas<strong>in</strong>g the landhold<strong>in</strong>g <strong>of</strong><br />

some <strong>farmers</strong>. Such <strong>farmers</strong> derived their <strong>in</strong>comes ma<strong>in</strong>ly from <strong>rice</strong> production. In<br />

these households, the men were the ma<strong>in</strong> workers <strong>in</strong> fields and women had fewer<br />

opportunities to make decisions. Figure 1B shows that the proportion <strong>of</strong> women who<br />

made decisions <strong>in</strong> pest <strong>management</strong> decreased as farm size <strong>in</strong>creased. When the average<br />

farmland per family is less than 0.2 ha, 32.6% <strong>of</strong> the women made decisions on<br />

<strong>rice</strong> pest <strong>management</strong>. When farmland per family is above 0.6 ha, the proportion<br />

decreased to 11.6%.<br />

Age. The role <strong>of</strong> women <strong>in</strong> pest <strong>management</strong> decision mak<strong>in</strong>g was also affected<br />

by their age. Old women are <strong>of</strong>ten traditional women who have always had a lower<br />

position <strong>in</strong> agricultural production (Wang 1996, Zhou 1996). Because their husbands<br />

or others ma<strong>in</strong>ly produce <strong>rice</strong>, these women make fewer production decisions. In<br />

contrast, younger women tend to be able to produce <strong>rice</strong> rely<strong>in</strong>g on their own knowledge<br />

and they make many production decisions. Fig. 1C shows that the proportion <strong>of</strong><br />

women who made decisions <strong>in</strong> <strong>rice</strong> pest <strong>management</strong> decreased (from 17.0% to 12.3%)<br />

as their age <strong>in</strong>creased.<br />

70 Ruifa et al


The survey likewise showed that <strong>farmers</strong> evidently overused pesticides. Farmers<br />

preferred to use pesticide cocktails, mixtures <strong>of</strong> <strong>in</strong>secticides and fungicides, to save<br />

time and labor for applications. The dosages <strong>of</strong> pesticides used were also very high<br />

because <strong>farmers</strong> misunderstood the relationship between recommended dosage and<br />

effectiveness, and lacked knowledge on measur<strong>in</strong>g pesticides. An <strong>in</strong>terest<strong>in</strong>g f<strong>in</strong>d<strong>in</strong>g<br />

was that the rationale for overus<strong>in</strong>g pesticides was the knowledge gap among women<br />

<strong>farmers</strong>, who felt confident <strong>in</strong> their pest <strong>management</strong> decisions based on their observations<br />

and experience. This implies that there were knowledge gaps between what<br />

<strong>farmers</strong> knew and should know about <strong>in</strong>tegrated pest <strong>management</strong> (IPM).<br />

One knowledge gap is the lack <strong>of</strong> an ecological understand<strong>in</strong>g <strong>of</strong> pest problems.<br />

When <strong>farmers</strong> made decisions on control, they first considered economic benefits<br />

because they wanted to avoid yield losses. They did not take any control actions when<br />

they perceived only a small crop loss and they lacked time to carry out pest control<br />

because they were busy with their other nonagricultural jobs. When <strong>farmers</strong> made<br />

decisions on the type <strong>of</strong> pesticide to apply, they first considered sav<strong>in</strong>g time and labor<br />

by mix<strong>in</strong>g several <strong>in</strong>secticides and fungicides, because they thought that this would<br />

be beneficial. But they did not consider ecological conditions as essential <strong>in</strong> decid<strong>in</strong>g<br />

whether or not to take a control action or to use a pesticide mixture.<br />

Another gap is <strong>in</strong>formation dissem<strong>in</strong>ation between the extension system and <strong>farmers</strong>,<br />

or between research and extension. Although the extension system is the ma<strong>in</strong><br />

<strong>in</strong>formation source for <strong>farmers</strong>, only half <strong>of</strong> them said they obta<strong>in</strong>ed <strong>in</strong>formation from<br />

the extension system when they planned to make a pest <strong>management</strong> decision. But<br />

the decisions <strong>farmers</strong> made were different from the recommendations made by the<br />

IPM program for two possible reasons: <strong>farmers</strong> did not use the recommendations<br />

from the extension system or the extension system did not make correct recommendations<br />

accord<strong>in</strong>g to the IPM program.<br />

Two related areas could therefore be explored further: (1) improv<strong>in</strong>g <strong>farmers</strong>’<br />

knowledge, especially their ecological understand<strong>in</strong>g <strong>of</strong> pest problems, and (2) understand<strong>in</strong>g<br />

the <strong>in</strong>formation flow between research, extension, and <strong>farmers</strong>, to f<strong>in</strong>d<br />

out where the gaps are and ways to improve <strong>in</strong>formation dissem<strong>in</strong>ation. The results<br />

from this further study will provide us with more detailed <strong>in</strong>formation that can be<br />

used to ref<strong>in</strong>e an IPM program.<br />

References<br />

Ellis F. 1988. Peasant economics: farm households and agrarian development. Cambridge (Great<br />

Brita<strong>in</strong>): Cambridge University Press. 257 p.<br />

Epste<strong>in</strong> CF. 1971. Women’s place. Berkeley (Calif., USA): University <strong>of</strong> California Press.<br />

221 p.<br />

Evenson RE. 1985. Observations on <strong>in</strong>stitutions, <strong>in</strong>frastructure technology and women <strong>in</strong> <strong>rice</strong><br />

farm<strong>in</strong>g. In: Women <strong>in</strong> <strong>rice</strong> farm<strong>in</strong>g. Great Brita<strong>in</strong>: Gower Publish<strong>in</strong>g Company. p 21-36.<br />

Fei X. 1939. Jiangcun economics: peasant life <strong>in</strong> Ch<strong>in</strong>a. Nanj<strong>in</strong>g (Ch<strong>in</strong>a): Jiangsu People’s<br />

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Kada R, Kada Y. 1985. The chang<strong>in</strong>g role <strong>of</strong> women <strong>in</strong> Japanese agriculture: the impact <strong>of</strong> new<br />

<strong>rice</strong> technology on women’s employment. In: Women <strong>in</strong> <strong>rice</strong> farm<strong>in</strong>g. Great Brita<strong>in</strong>: Gower<br />

Publish<strong>in</strong>g Company. p 37-54.<br />

Lei J, Yang S. Cai, W. 1990. The change <strong>of</strong> the marriage and the family <strong>in</strong> the Ch<strong>in</strong>ese countryside<br />

s<strong>in</strong>ce the reform <strong>of</strong> the economics system. Beij<strong>in</strong>g (Ch<strong>in</strong>a): Pek<strong>in</strong>g University Press.<br />

502 p.<br />

Li C, Feng R, Xu X. 1985. ‘Half-sky’ role <strong>of</strong> Ch<strong>in</strong>a’s women <strong>in</strong> <strong>rice</strong> farm<strong>in</strong>g systems. In:<br />

Women <strong>in</strong> <strong>rice</strong> farm<strong>in</strong>g. Great Brita<strong>in</strong>: Gower Publish<strong>in</strong>g Company. p 65-70.<br />

L<strong>in</strong> JY. 1990. Prohibition <strong>of</strong> factor market exchanges and technological choice <strong>in</strong> Ch<strong>in</strong>ese<br />

agriculture. <strong>IRRI</strong> Work<strong>in</strong>g Paper. Los Baños (Philipp<strong>in</strong>es): <strong>International</strong> Rice Research<br />

Institute. 27 p.<br />

Pradhan B. 1985. The role <strong>of</strong> women <strong>in</strong> household production systems and <strong>rice</strong> farm<strong>in</strong>g <strong>in</strong><br />

Nepal. In: Women <strong>in</strong> <strong>rice</strong> farm<strong>in</strong>g. Great Brita<strong>in</strong>: Gower Publish<strong>in</strong>g Company. p 257-286.<br />

Res L. 1985. Chang<strong>in</strong>g labor allocation patterns <strong>of</strong> women <strong>in</strong> <strong>rice</strong> farm households: a ra<strong>in</strong>fed<br />

<strong>rice</strong> village, lloilo Prov<strong>in</strong>ce, Philipp<strong>in</strong>es. In: Women <strong>in</strong> <strong>rice</strong> farm<strong>in</strong>g. Great Brita<strong>in</strong>: Gower<br />

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Sajogyo P. 1985. The impact <strong>of</strong> new farm<strong>in</strong>g technology on women’s employment. In: Women<br />

<strong>in</strong> <strong>rice</strong> farm<strong>in</strong>g. Great Brita<strong>in</strong>: Gower Publish<strong>in</strong>g Company. p 149-170.<br />

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farm<strong>in</strong>g. In: Women <strong>in</strong> <strong>rice</strong> farm<strong>in</strong>g. Great Brita<strong>in</strong>: Gower Publish<strong>in</strong>g Company. p 1-20.<br />

Wang J. 1996. The gender difference for household’s position <strong>of</strong> rural women <strong>in</strong> Zhejiang.<br />

Ch<strong>in</strong>a Zhejiang Acad. J. 1996(6).<br />

Wang X, Zheng K. 1993. Why <strong>farmers</strong> leave uncultivated land: th<strong>in</strong>k<strong>in</strong>g <strong>of</strong> rural reform and<br />

development <strong>in</strong> the 1990s. Taiyuan (Ch<strong>in</strong>a): Shanxi Economics Press. p 375-384.<br />

Watson GA. 1985. Women’s role <strong>in</strong> the improvement <strong>of</strong> <strong>rice</strong> farm<strong>in</strong>g systems <strong>in</strong> coastal swamplands.<br />

In: Women <strong>in</strong> <strong>rice</strong> farm<strong>in</strong>g. Great Brita<strong>in</strong>: Gower Publish<strong>in</strong>g Company. p 187-208.<br />

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p 119-148.<br />

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Acad. J. 1996(2).<br />

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Notes<br />

Authors’address: Zhejiang Agricultural University, 310029 Hangzhou, People’s Republic <strong>of</strong><br />

Ch<strong>in</strong>a.<br />

Citation: Heong KL, Escalada MM. editors. 1997. <strong>Pest</strong> <strong>management</strong> <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong>.<br />

Manila (Philipp<strong>in</strong>es): <strong>International</strong> Rice Research Institute.<br />

The role <strong>of</strong> women <strong>in</strong> <strong>rice</strong> pest <strong>management</strong> <strong>in</strong> Zhejiang, Ch<strong>in</strong>a 73


CHAPTER 5<br />

<strong>Pest</strong> <strong>management</strong> practices<br />

<strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Tamil Nadu, India<br />

S.D. Sivakumar, S.R. Subramanian, S. Suresh, and M. Gopalan<br />

We conducted a survey <strong>of</strong> 120 <strong>farmers</strong> <strong>in</strong> <strong>rice</strong>-grow<strong>in</strong>g areas <strong>in</strong><br />

Thanjavur and Chengai MGR districts <strong>in</strong> Tamil Nadu to study their<br />

<strong>rice</strong> pest monitor<strong>in</strong>g, assessment, and control practices. We also<br />

determ<strong>in</strong>ed the constra<strong>in</strong>ts to their adoption <strong>of</strong> <strong>in</strong>tegrated pest <strong>management</strong><br />

(IPM) practices. Leaffolders, stem borers, and <strong>rice</strong> bugs<br />

were commonly observed <strong>rice</strong> <strong>in</strong>sect pests, and dragonflies and damselflies<br />

were commonly mentioned beneficial <strong>in</strong>sects. Department<br />

<strong>of</strong> Agriculture <strong>of</strong>ficials were the major source <strong>of</strong> pest control <strong>in</strong>formation.<br />

All the <strong>farmers</strong> used various nonchemical IPM measures,<br />

<strong>in</strong>clud<strong>in</strong>g <strong>in</strong>sect-resistant varieties, clean<strong>in</strong>g bunds, and synchronized<br />

plant<strong>in</strong>g. The cost <strong>of</strong> chemical control was higher on small farms<br />

than on large farms. A lack <strong>of</strong> easy-to-follow pest assessment techniques<br />

and lack <strong>of</strong> community efforts were cited as the major constra<strong>in</strong>ts<br />

to follow<strong>in</strong>g IPM practices.<br />

Introduction<br />

Rice is the staple food <strong>in</strong> Tamil Nadu, India. Rice was planted on 2.6 million ha <strong>in</strong> the<br />

state <strong>in</strong> 1970-71 (35% <strong>of</strong> the total area cropped) but on only 2.3 million ha <strong>in</strong> 1993-<br />

94. Rice production, however, <strong>in</strong>creased from 5.0 to 6.6 million t dur<strong>in</strong>g this period,<br />

primarily because productivity <strong>in</strong>creased from 1.9 to 2.8 t ha -1 . This achievement has<br />

been attributed to the significant developments <strong>in</strong> agricultural research and education,<br />

extension, and <strong>in</strong>frastructure. Farmers’ adoption <strong>of</strong> high-yield<strong>in</strong>g varieties and other<br />

improved technologies as well as their use <strong>of</strong> chemical fertilizers have undoubtedly<br />

contributed to <strong>in</strong>creased <strong>rice</strong> production; pest problems, however, have also accompanied<br />

these advances.<br />

With the widespread use <strong>of</strong> synthetic organic pesticides, pests prevalent <strong>in</strong> traditional<br />

tall <strong>in</strong>dica <strong>rice</strong> cultivars, such as the swarm<strong>in</strong>g caterpillar Spodoptera mauritica<br />

Bdv., grasshopper Hieroglyphus banian F., and sp<strong>in</strong>y beetle Dicladispa armigera,<br />

became noticeably absent <strong>in</strong> fields planted to modem semidwarf cultivars. Instead,<br />

75


m<strong>in</strong>or pests, such as brown planthopper Nilaparvata lugens Stäl. <strong>in</strong> the kuruvai season<br />

(June-July sow<strong>in</strong>g) and <strong>rice</strong> leaffolder Cnaphalocrocis med<strong>in</strong>alis (Guen) <strong>in</strong> the<br />

samba season (August-September sow<strong>in</strong>g), became major pests. Yellow stem borer<br />

Scirpophaga <strong>in</strong>certulas (Wlk.) became endemic <strong>in</strong> the November-February crop. Diseases<br />

such as bacterial leaf blight appeared after cultivar TN1 was <strong>in</strong>troduced dur<strong>in</strong>g<br />

1965. Rice tungro virus, a virus disease transmitted by the green leafhopper, was<br />

epidemic <strong>in</strong> 1984 <strong>in</strong> Tamil Nadu.<br />

Today, more than 30 <strong>in</strong>sects and 10 non<strong>in</strong>sect pests cause damage to the <strong>rice</strong><br />

crop. Ramasamy et al (1993) estimated the loss <strong>in</strong> <strong>rice</strong> production <strong>in</strong> Tamil Nadu from<br />

<strong>in</strong>sect pests to be 470,000 t and from diseases 270,000 t. Among these pests, <strong>farmers</strong><br />

reported leaffolder to be the most serious, caus<strong>in</strong>g 24% <strong>of</strong> the loss, followed by earhead<br />

bug (19%) and yellow stem borer and gall midge Orseolia oryzae (W.M.) (both 13%).<br />

Rice blast, an endemic disease <strong>in</strong> Tamil Nadu because <strong>of</strong> high relative humidity, reportedly<br />

causes 24% <strong>of</strong> the loss. <strong>Pest</strong>s appear to be a major constra<strong>in</strong>t to <strong>rice</strong> production.<br />

<strong>Pest</strong> control concepts<br />

Over the years, researchers have focused on develop<strong>in</strong>g effective pest <strong>management</strong><br />

measures. By 1948, DDT dust formulations were widely used for controll<strong>in</strong>g green<br />

leafhopper, brown planthopper, yellow stem borer, and gall midge. The era <strong>of</strong> organophosphorus<br />

<strong>in</strong>secticides began <strong>in</strong> 1952 with the test<strong>in</strong>g and use <strong>of</strong> methyl parathion,<br />

followed by the <strong>in</strong>troduction <strong>of</strong> other <strong>in</strong>secticides for controll<strong>in</strong>g various <strong>rice</strong> pests.<br />

The concept <strong>of</strong> prophylactic treatment was given much attention because <strong>of</strong> the high<br />

illiteracy rate among <strong>farmers</strong> and the complexities <strong>in</strong>volved <strong>in</strong> identify<strong>in</strong>g pests and<br />

determ<strong>in</strong><strong>in</strong>g their <strong>in</strong>tensities. These regular applications <strong>of</strong> <strong>in</strong>secticide and fungicide<br />

were popular for many years.<br />

Hand- and mach<strong>in</strong>e-operated sprayers, dusters, blowers, and pesticides were sold<br />

at subsidized rates to <strong>farmers</strong>. To achieve more thorough and quicker coverage, the<br />

Department <strong>of</strong> Agriculture organized mass ground spray<strong>in</strong>gs. From 1966 to 1972,<br />

<strong>in</strong>secticides were applied aerially us<strong>in</strong>g ultra-low-volume formulations <strong>of</strong> phosphamidon<br />

and fenitrothion on 5,000–200,000 ha <strong>of</strong> <strong>rice</strong>—<strong>in</strong> addition to conventional<br />

methods <strong>of</strong> apply<strong>in</strong>g pesticides. <strong>Pest</strong>icide use <strong>in</strong> Tamil Nadu reached an all-time high<br />

<strong>of</strong> 10,926 t <strong>in</strong> 1984-85. The <strong>in</strong>appropriate use <strong>of</strong> pesticides resulted <strong>in</strong> outbreaks <strong>of</strong><br />

leaffolder, brown planthopper, and <strong>rice</strong> tungro virus, the development <strong>of</strong> resistance to<br />

<strong>in</strong>secticides, and a resurgence <strong>of</strong> leaffolder to phorate and brown planthopper to<br />

qu<strong>in</strong>alphos, methyl parathion, phorate, and synthetic pyrethroid (especially<br />

deltamethr<strong>in</strong>). Because <strong>of</strong> these problems, the need to rationalize pesticide use and<br />

develop an <strong>in</strong>tegrated approach to <strong>rice</strong> pest <strong>management</strong> assumed greater significance.<br />

Integrated pest <strong>management</strong> (IPM) concept<br />

The popular demand for a change <strong>in</strong> pest control technology is related to the social<br />

cost <strong>of</strong> pesticide use (Kather<strong>in</strong>e 1980). In this context, IPM becomes more relevant.<br />

IPM stresses the rational use <strong>of</strong> a comb<strong>in</strong>ation <strong>of</strong> pest control techniques while enhanc<strong>in</strong>g<br />

the role <strong>of</strong> natural regulatory mechanisms to produce an economically and<br />

76 Sivakumar et al


socially acceptable yield with no adverse effects on the environment (Teng and Savary<br />

1992).<br />

In the Tamil Nadu context, several important th<strong>in</strong>gs happened because <strong>of</strong> the<br />

gradual adoption <strong>of</strong> IPM. Two broad-spectrum <strong>in</strong>secticides were withdrawn from the<br />

market and penalties put <strong>in</strong> place for those manufactur<strong>in</strong>g and market<strong>in</strong>g the <strong>in</strong>secticides.<br />

Economic threshold levels were developed for major <strong>rice</strong> pests, and ecologically<br />

sound botanical products, as substitutes for synthetic organic pesticides, were<br />

extensively tested. Neem oil, neem cake, mahua oil, and palmrosa oil were found to<br />

act as powerful antifeedants, growth regulators, and ovicides for <strong>rice</strong> pests. Biocontrol<br />

agents, such as egg parasitoid Trichogramma japonicum and T. chilonis, were found<br />

to be effective on yellow stem borer and leaffolder, respectively, and the microbial<br />

pesticide Bacillus thur<strong>in</strong>giensis on leaffolder. Researchers also <strong>in</strong>vestigated the impact<br />

<strong>of</strong> cultural practices on the population dynamics <strong>of</strong> <strong>rice</strong> pests. As a result <strong>of</strong> these<br />

efforts, scientists and extension workers developed and dissem<strong>in</strong>ated several<br />

nonchemical control measures to the farm<strong>in</strong>g community.<br />

Socioeconomic studies on pesticide use decisions revealed that plant protection<br />

measures used by <strong>farmers</strong> were generally based on their anxiety to save the crop<br />

(Rajagopalan 1983), expectations regard<strong>in</strong>g the tim<strong>in</strong>g and <strong>in</strong>tensity <strong>of</strong> pest attack<br />

(Seeta 1985), and source <strong>of</strong> <strong>in</strong>formation about plant protection (Salvi and Gajre 1985).<br />

Farmers’ pest identification skills and their knowledge <strong>of</strong> pest control measures greatly<br />

<strong>in</strong>fluenced their pesticide use (Sagar and Pal 1986, Satapathy and Pattnaik 1986). The<br />

socioeconomic status <strong>of</strong> <strong>farmers</strong> also affected their access to <strong>in</strong>formation sources and<br />

their adoption <strong>of</strong> improved plant protection measures (Sen and Doijad 1990). The<br />

views <strong>of</strong> political and agricultural decision makers also <strong>in</strong>fluenced the use <strong>of</strong> pesticides<br />

<strong>in</strong> <strong>rice</strong> (Kenmore 1987). The major constra<strong>in</strong>ts encountered by <strong>farmers</strong> <strong>in</strong> apply<strong>in</strong>g<br />

plant protection measures were heavy ra<strong>in</strong> dur<strong>in</strong>g the wet season and <strong>in</strong>effective<br />

and expensive plant protection chemicals (Veerasamy et al 1992).<br />

In view <strong>of</strong> these factors, <strong>farmers</strong>’ pest <strong>management</strong> practices, the cost <strong>of</strong> pest<br />

control measures, and the constra<strong>in</strong>ts to adopt<strong>in</strong>g IPM practices needed to be analyzed.<br />

The objectives <strong>of</strong> this study were to exam<strong>in</strong>e <strong>farmers</strong>’ pest monitor<strong>in</strong>g and<br />

assessment methods, determ<strong>in</strong>e their awareness <strong>of</strong> IPM practices and the pest control<br />

methods they follow, analyze the cost <strong>of</strong> pest control measures, and identify the constra<strong>in</strong>ts<br />

to their adoption <strong>of</strong> IPM.<br />

Survey site<br />

In 1993-94, <strong>rice</strong> was cultivated on 2.3 million ha <strong>in</strong> Tamil Nadu, yield<strong>in</strong>g 6.6 million<br />

t <strong>of</strong> gra<strong>in</strong>. Of the state’s districts, Thanjavur and Chengai MGR have the largest <strong>rice</strong><br />

areas and produce the most <strong>rice</strong>, which were the ma<strong>in</strong> reasons for <strong>in</strong>clud<strong>in</strong>g them <strong>in</strong><br />

this study. In 1993-94, the <strong>rice</strong> area <strong>in</strong> Thanjavur was 530,000 ha (73% <strong>of</strong> the total<br />

cropped area), with 290,000 ha (65% <strong>of</strong> the total area) <strong>in</strong> Chengai MGR. Production<br />

was 1.14 million t <strong>in</strong> Thanjavur and 0.88 million t <strong>in</strong> Chengai MGR. Together, the<br />

districts accounted for 36% <strong>of</strong> the state’s <strong>rice</strong> area and 30% <strong>of</strong> its production. For this<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Tamil Nadu, India 77


survey, greater emphasis was placed on Thanjavur because more <strong>of</strong> its area is dedicated<br />

to <strong>rice</strong> production and because <strong>of</strong> the greater importance <strong>of</strong> <strong>rice</strong> <strong>in</strong> the area.<br />

Tamil Nadu can be divided <strong>in</strong>to seven agroclimatic zones. Chengai MGR district<br />

is <strong>in</strong> the northeastern zone and Thanjavur is <strong>in</strong> the Cauvery Delta zone. The area <strong>of</strong><br />

Chengai MGR is 7,857 km 2 , and <strong>in</strong> 1991 the population was 4.7 million. Thanjavur<br />

occupies 8,280 km 2 , and <strong>in</strong> 1991 had 4.5 million people. The population density per<br />

square kilometer was slightly higher <strong>in</strong> Chengai MGR (592 persons) than <strong>in</strong> Thanjavur<br />

(547 persons), but more <strong>of</strong> the population lives <strong>in</strong> rural Thanjavur (77%) than <strong>in</strong> rural<br />

Chengai MGR. The literacy rate <strong>in</strong> both districts was 66%.<br />

About 40% <strong>of</strong> the population participated <strong>in</strong> the labor force. In Thanjavur, cultivation<br />

laborers constitute 20% <strong>of</strong> the total worker population and agricultural laborers<br />

45%; <strong>in</strong> Chengai MGR, the numbers are 15% and 32%, respectively. An additional<br />

13% <strong>of</strong> the workers <strong>in</strong> both districts were <strong>in</strong>volved <strong>in</strong> non<strong>rice</strong> agricultural activities,<br />

such as livestock, fisheries, and orchards,<br />

In 1993-94, the total cropped area was 450,000 ha <strong>in</strong> Chengai MGR (57% <strong>of</strong> the<br />

district's total area) and 720,000 ha <strong>in</strong> Thanjavur (88% <strong>of</strong> the total area). The irrigated<br />

areas <strong>in</strong> both districts accounted for about 80% <strong>of</strong> the total cropped area. In contrast,<br />

canals provide irrigation for 94% <strong>of</strong> the total irrigated area <strong>in</strong> Thanjavur.<br />

The average annual ra<strong>in</strong>fall is 1,126 mm <strong>in</strong> Thanjavur, although <strong>in</strong> 1993 it was<br />

1,712 mm; <strong>in</strong> Chengai MGR, the average is 1,165 mm, but <strong>in</strong> 1993 it was 1,398 mm.<br />

Most <strong>of</strong> the ra<strong>in</strong> was dur<strong>in</strong>g the northeast monsoon (October to December).<br />

Sixty-two percent <strong>of</strong> the <strong>rice</strong> area <strong>in</strong> Chengai MGR and 83% <strong>in</strong> Thanjavur is<br />

grown <strong>in</strong> the samba season. More than 90% <strong>of</strong> the <strong>rice</strong> area is irrigated, and nearly all<br />

is grown with high-yield<strong>in</strong>g modern varieties. The average <strong>rice</strong> yield is 3.0 t ha -1 <strong>in</strong><br />

Chengai MGR and 2.2 t ha -1 <strong>in</strong> Thanjavur.<br />

Thanjavur has 13 state seed farms and Chengai MGR two. In 1993-94, <strong>farmers</strong> <strong>in</strong><br />

Thanjavur used 54,000 t <strong>of</strong> nitrogen fertilizer and those <strong>in</strong> Chengai MGR used 35,000<br />

t; the use <strong>of</strong> phosphorus and potash fertilizers was similarly greater <strong>in</strong> Thanjavur than<br />

<strong>in</strong> Chengai MGR. Sixty-six percent <strong>of</strong> the 1,314 retail fertilizer outlets <strong>in</strong> Chengai<br />

MGR were private, as were 70% <strong>of</strong> the 2,699 <strong>in</strong> Thanjavur.<br />

In 1993-94, <strong>farmers</strong> <strong>in</strong> Chengai MGR used 81 metric tons <strong>of</strong> powdered pesticides<br />

and 937,000 liters <strong>of</strong> liquid pesticides, while those <strong>in</strong> Thanjavur used 382 metric<br />

tons <strong>of</strong> powdered pesticides and 86,000 liters <strong>of</strong> liquid pesticides. <strong>Pest</strong>icides were<br />

sold through 565 retail outlets <strong>in</strong> Chengai MGR and 1,728 <strong>in</strong> Thanjavur. About 44%<br />

<strong>of</strong> the retail outlets <strong>in</strong> Chengai MGR and 62% <strong>of</strong> those <strong>in</strong> Thanjavur were private.<br />

Methods<br />

Four subdistricts <strong>in</strong> Thanjavur and one <strong>in</strong> Chengai MGR were selected for the study.<br />

Six villages were then randomly selected from the list <strong>of</strong> villages <strong>in</strong> each subdistrict.<br />

Two villages were selected <strong>in</strong> Thiruthuraipoondi and Orathanadu, and one each <strong>in</strong><br />

Kumbakonam and Papanasam. In Chengai MGR, all six villages were from the<br />

Madurandagam subdistrict.<br />

78 Sivakumar et al


Complete lists <strong>of</strong> all <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> each village were not available. Upon enter<strong>in</strong>g<br />

each village, survey staff randomly selected ten <strong>farmers</strong>.<br />

A questionnaire was developed and pretested. Personal <strong>in</strong>terviews were used to<br />

collect the data. Recent graduates <strong>of</strong> agricultural schools conducted the field survey<br />

after be<strong>in</strong>g briefed on the objectives and the questionnaire. The data were collected<br />

dur<strong>in</strong>g 1994-95.<br />

Results<br />

Farmer characteristics<br />

Respondents were stratified <strong>in</strong>to those operat<strong>in</strong>g small (4 ha). Many (57%) owned medium-sized farms, 26% had small farms,<br />

and 17% had large farms. The medium-sized farms averaged 2.0 ha, the small 0.59<br />

ha, and the large 8.7 ha. About 25% were 34 years and below, 63% aged between 35<br />

and 50, and 12% 51 years and above.<br />

More than one quarter (27%) had an elementary education, 22% went through<br />

middle school, and 24% reached high school. Fifty-two percent had 11–20 years <strong>of</strong><br />

farm<strong>in</strong>g experience, 16% had 25–30 years, 3% had 30 years, and 29% had 10 or less<br />

years’ experience. Several researchers (Gogoi and Gogoi 1989, Grieshop et al 1988,<br />

Athimuthu 1990, Shanta 1992) have reported that <strong>farmers</strong>’ ages, education levels,<br />

years <strong>of</strong> experience, and farm sizes <strong>in</strong>fluence their adoption <strong>of</strong> agricultural technologies.<br />

Of the total cropped area, <strong>rice</strong> was grown on 80% <strong>of</strong> it, chickpea on 9%, sesame<br />

on 4%, sugarcane on 5%, and other crops on the rema<strong>in</strong>der.<br />

Rice cultivation<br />

Rice is cultivated <strong>in</strong> Tamil Nadu dur<strong>in</strong>g the seasons <strong>of</strong> sornawari (April-August), kar<br />

(May-September), kuruvai (June-October), samba (August-December), thaladi (November-March),<br />

and navarai (December-April). The area planted to <strong>rice</strong> is greatest<br />

dur<strong>in</strong>g the samba season. Dur<strong>in</strong>g the survey, 44% <strong>of</strong> the <strong>rice</strong> area was planted <strong>in</strong> the<br />

samba season followed by 25% <strong>in</strong> kuruvai, 23% <strong>in</strong> thaladi, and 8% <strong>in</strong> navarai.<br />

Short-duration cultivars are generally grown <strong>in</strong> kuruvai and navarai seasons,<br />

whereas medium- and long-duration cultivars are grown <strong>in</strong> samba and thaladi seasons.<br />

ADT 36, TKM 9, IR50, IR66, and PY3 were the most common cultivars grown<br />

dur<strong>in</strong>g kuruvai, and ADT 39, ADT 38, CO 43, and CR 1009 were most popular dur<strong>in</strong>g<br />

samba and thaladi seasons. Dur<strong>in</strong>g the navarai season, ADT 36, ADT 39, IR20,<br />

IR50, and CO 43 were the most popular cultivars.<br />

On the surveyed farms, White Ponni was grown on 21% <strong>of</strong> the <strong>rice</strong> area and CR<br />

1009 on 18% <strong>of</strong> the area. CR 1009 was predom<strong>in</strong>antly planted <strong>in</strong> Thanjavur, whereas<br />

White Ponni was the predom<strong>in</strong>ant cultivar <strong>in</strong> Chengai MGR. The land planted to<br />

ADT 36, ADT 39. IR50, and ADT 38 occupied 8-11% <strong>of</strong> the <strong>rice</strong> area.<br />

In the kuruvai season, <strong>rice</strong> yields ranged from 3 to 4 t ha -1 on 17 farms and from<br />

4.1 to 5 t ha - 1 on 16 farms. Similarly, dur<strong>in</strong>g samba, thaladi, and navarai seasons, <strong>rice</strong><br />

yields on most <strong>of</strong> the surveyed farms ranged from 3 to 5 t ha -1 . The mean yield <strong>of</strong><br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Tamil, Nadu, India 79


4.1 t ha -1 <strong>in</strong> kuruvai was significantly more by the t-test (P = .05) than those <strong>in</strong> samba<br />

(3.6 t ha -1 ), thaladi (3.3 t ha -1 ), and navarai (3.5 t ha -1 ) seasons.<br />

<strong>Pest</strong>-monitor<strong>in</strong>g practices<br />

Farmers commonly observed the occurrence <strong>of</strong> pests and assessed their populations<br />

<strong>in</strong> the field. Nearly half the <strong>farmers</strong> monitored their fields once every 2 d, 23% visited<br />

their fields daily, and 23% went to their fields once a week. In total, 95% <strong>of</strong> the<br />

<strong>farmers</strong> did some form <strong>of</strong> pest monitor<strong>in</strong>g, although none recorded pest <strong>in</strong>cidence.<br />

The most commonly observed <strong>in</strong>sect pests were earhead bug, stem borer, and<br />

leaffolder. At tiller<strong>in</strong>g, leaffolders were observed on 28% <strong>of</strong> the farms and stem borers<br />

on 33% <strong>of</strong> them. Earhead bugs were seen dur<strong>in</strong>g the milk and dough gra<strong>in</strong> stages,<br />

and jassids dur<strong>in</strong>g the seedl<strong>in</strong>g, flower<strong>in</strong>g, milk gra<strong>in</strong>, and dough gra<strong>in</strong> stages. A few<br />

<strong>farmers</strong> observed brown planthoppers and blast disease dur<strong>in</strong>g flower<strong>in</strong>g. Additionally,<br />

the majority <strong>of</strong> the <strong>farmers</strong> noticed dragonflies, damselflies, and spiders, which<br />

they reported do not damage crops.<br />

<strong>Pest</strong> <strong>management</strong> practices<br />

<strong>Pest</strong> control activities follow<strong>in</strong>g pest monitor<strong>in</strong>g <strong>in</strong>volved awareness about appropriate<br />

control measures and adopt<strong>in</strong>g pest <strong>management</strong> practices. Farmers learned about<br />

pest <strong>management</strong> practices from several sources. Department <strong>of</strong> Agriculture <strong>of</strong>ficials<br />

served as the primary source for <strong>in</strong>formation on pest <strong>management</strong> practices, with<br />

76% <strong>of</strong> the <strong>farmers</strong> seek<strong>in</strong>g <strong>in</strong>formation from them. Other <strong>farmers</strong> sought pest <strong>management</strong><br />

advice from neighbor<strong>in</strong>g <strong>farmers</strong> and agricultural <strong>in</strong>put dealers, and others<br />

(7%) said they were guided by their own experiences. Mohankumar (1985),<br />

Subrahamanyam (1985), and Goodell et al (1984) reported similar f<strong>in</strong>d<strong>in</strong>gs.<br />

The extent <strong>of</strong> <strong>farmers</strong>’ awareness and adoption <strong>of</strong> IPM practices varied (Table 1).<br />

Among these practices, all were us<strong>in</strong>g <strong>in</strong>sect-resistant cultivars, clean<strong>in</strong>g bunds, and<br />

follow<strong>in</strong>g a synchronized plant<strong>in</strong>g schedule. The Department <strong>of</strong> Agriculture's efforts<br />

to popularize the use <strong>of</strong> high-yield<strong>in</strong>g cultivars have resulted <strong>in</strong> <strong>farmers</strong> adopt<strong>in</strong>g<br />

them, although most could not relate the variety to the pest to which it is resistant.<br />

Clean<strong>in</strong>g bunds is a traditional practice that <strong>farmers</strong> have generally practiced for a<br />

long time, and canal and tank irrigation have enabled <strong>farmers</strong> to synchronize their<br />

plant<strong>in</strong>g schedules.<br />

More than 90% <strong>of</strong> the <strong>farmers</strong> knew about the practices <strong>of</strong> proper spac<strong>in</strong>g, weekly<br />

pest observation, avoid<strong>in</strong>g the use <strong>of</strong> nitrogen fertilizer dur<strong>in</strong>g pest attack, and how to<br />

weed properly. Although transplant<strong>in</strong>g was not usually done with ropes to mark proper<br />

spac<strong>in</strong>g, <strong>farmers</strong> said they made sure adequate spac<strong>in</strong>g was observed.<br />

Organic manure supplied the major source <strong>of</strong> nutrients 30 years ago, but when<br />

high-yield<strong>in</strong>g cultivars were <strong>in</strong>troduced, the use <strong>of</strong> <strong>in</strong>organic fertilizers ga<strong>in</strong>ed momentum.<br />

The <strong>farmers</strong> surveyed applied nitrogen fertilizer <strong>in</strong> three splits (one basal<br />

and two topdressed) after each weed<strong>in</strong>g. Only hand weed<strong>in</strong>g was predom<strong>in</strong>antly practiced,<br />

with women do<strong>in</strong>g most <strong>of</strong> the work.<br />

Thirty-three percent <strong>of</strong> the <strong>farmers</strong> clipped leaf tips for old seedl<strong>in</strong>gs, but not<br />

many knew the pest control reason for the practice. Few <strong>farmers</strong> were aware <strong>of</strong> the<br />

80 Sivakumar et al


Table 1. <strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>farmers</strong> (no.) a , Thanjavur<br />

and Chengai MGR districts, Tamil Nadu, India, 1993-94.<br />

Practice Awareness Adoption<br />

Summer plow<strong>in</strong>g<br />

Us<strong>in</strong>g <strong>in</strong>sect-resistant cultivars<br />

Treat<strong>in</strong>g seeds<br />

Clean<strong>in</strong>g bunds<br />

Clipp<strong>in</strong>g leaf tips before transplant<strong>in</strong>g<br />

Organiz<strong>in</strong>g synchronized plant<strong>in</strong>g<br />

79<br />

(66)<br />

120<br />

(100)<br />

86<br />

(72)<br />

120<br />

(100)<br />

55<br />

(46)<br />

120<br />

(100)<br />

120<br />

(100)<br />

112<br />

47<br />

(39)<br />

120<br />

(100)<br />

58<br />

(48)<br />

120<br />

(100)<br />

39<br />

(33)<br />

120<br />

(100)<br />

Proper spac<strong>in</strong>g<br />

112<br />

(931<br />

Manag<strong>in</strong>g irrigation judiciously<br />

74<br />

(83)<br />

(62)<br />

Avoid<strong>in</strong>g use <strong>of</strong> nitrogen fertilizer 110 110<br />

dur<strong>in</strong>g pest attack (92) (92)<br />

Us<strong>in</strong>g neem-coated fertilizer 96 69<br />

(80) (58)<br />

Weed treatment 116 116<br />

(97) (97)<br />

Us<strong>in</strong>g light traps to monitor pests 69 3<br />

(58) (3)<br />

Weekly pest observation 116 116<br />

(96.7) (96.7)<br />

Observ<strong>in</strong>g predatory organisms 76 32<br />

(63.3) (26.7)<br />

Avoid<strong>in</strong>g us<strong>in</strong>g pesticide when 47 13<br />

predators are more numerous (39.2) (10.8)<br />

Application <strong>of</strong> <strong>in</strong>secticides 73 14<br />

based on ETL (60.8) (11.7)<br />

Use neem oil for pest control 24 21<br />

(20.0) (17.5)<br />

Avold us<strong>in</strong>g resurgence-<strong>in</strong>duc<strong>in</strong>g 50 50<br />

<strong>in</strong>secticides (41.7) (41.7)<br />

Release <strong>of</strong> biological agents 12 8<br />

(10.0) (6.7)<br />

Use biomodiolone 37 20<br />

(30.8) (16.7)<br />

Use z<strong>in</strong>c phosphide 55 50<br />

(45.8) (41.7)<br />

Digg<strong>in</strong>g and kill<strong>in</strong>g rats 99 99<br />

(82.5) (82.5)<br />

Harvest<strong>in</strong>g <strong>rice</strong> closer to soil 85 45<br />

(70.8) (37.5)<br />

a Numbers <strong>in</strong> parentheses <strong>in</strong>dicate percentage to total sample <strong>of</strong> <strong>farmers</strong>.<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Tamil Nadu, lndia 81


practices <strong>of</strong> summer plow<strong>in</strong>g, light traps, and neem-coated urea; consequently, their<br />

adoption was low, with many perceiv<strong>in</strong>g them to <strong>in</strong>volve additional expense.<br />

Although more than 60% <strong>of</strong> the <strong>farmers</strong> were aware <strong>of</strong> apply<strong>in</strong>g <strong>in</strong>secticides<br />

based on economic threshold levels and monitor<strong>in</strong>g populations <strong>of</strong> predatory organisms,<br />

few had actually adopted the practice. Thirty-n<strong>in</strong>e percent <strong>of</strong> the <strong>farmers</strong> knew<br />

not to apply pesticides when more predators were seen, but adoption was low because<br />

most did not understand the concept <strong>of</strong> predation or biological control. Us<strong>in</strong>g neem<br />

oil for pest control and releas<strong>in</strong>g biocontrol agents were practices known to only a<br />

few <strong>farmers</strong>, and their adoption was likewise very low.<br />

Most <strong>of</strong> the <strong>farmers</strong> (83%) controlled rodents by digg<strong>in</strong>g <strong>in</strong>to their burrows and<br />

then kill<strong>in</strong>g them, a practice more common <strong>in</strong> Chengai MGR than <strong>in</strong> Thanjavur. Only<br />

38% <strong>of</strong> the <strong>farmers</strong> harvested <strong>rice</strong> close to the soil even though 71% were aware <strong>of</strong> the<br />

pest <strong>management</strong> benefits. Farmers cited labor problems dur<strong>in</strong>g harvest as the reason<br />

for limited adoption <strong>of</strong> this practice.<br />

Farmers’ preferences for pesticides targeted at specific pests differed (Table 2).<br />

Farmers ma<strong>in</strong>ly used BHC 10% to control earhead bug, jassids, and brown planthopper,<br />

whereas phosphamidon was used to control stem borer. Qu<strong>in</strong>alphos, methyl parathion,<br />

and monocrotophos were used to control leaffolder, and edifenphos was used to control<br />

<strong>rice</strong> blast.<br />

The cost <strong>of</strong> chemical control per hectare broken down accord<strong>in</strong>g to farm size was<br />

US$15 for small farms, US$14 for medium farms, and US$14.40 for large farms.<br />

Expenditure on chemical control was significantly higher on small farms than on<br />

medium and large farms, although it was not significantly different between medium<br />

and large farms. Mode <strong>of</strong> purchase accounted for variation <strong>in</strong> chemical costs for small,<br />

medium, and large farms. Farmers with medium or large hold<strong>in</strong>gs bought pesticides<br />

<strong>in</strong> larger quantities than did those with small farms, result<strong>in</strong>g <strong>in</strong> lower p<strong>rice</strong>s. The<br />

difference <strong>in</strong> application cost ma<strong>in</strong>ly depended on whether <strong>farmers</strong> used powders or<br />

sprays, because the cost <strong>of</strong> dust<strong>in</strong>g <strong>in</strong>volves less labor than does spray<strong>in</strong>g. No <strong>farmers</strong><br />

applied pesticides more than twice dur<strong>in</strong>g a season. Spray<strong>in</strong>g was usually done with<strong>in</strong><br />

a week after observ<strong>in</strong>g a pest problem.<br />

About 26% <strong>of</strong> those surveyed—mostly with large farms—had their own sprayers.<br />

Others hired pr<strong>of</strong>essionals to apply pesticides.<br />

Table 2. Type <strong>of</strong> pesticide applied by <strong>farmers</strong> (no.) targeted at a specific pest, Thanjavur and<br />

Chengai MGR districts, Tamil Nadu, India, 1993-94.<br />

<strong>Pest</strong>icide Leaf- Leaf- Stem Gall Jassid Earhead Brown Blast<br />

folder hopper borer midge bug planthopper<br />

Monocrotophos 9 1 12 – – 1 – Endosulfan 5 – 1 1 1 2<br />

– –<br />

Dichlorvos – – 1 – – – – –<br />

Phosphamidon 3 3 28 – – 3 – –<br />

BHC 10% (L<strong>in</strong>dane) – – – – 11 33 7 –<br />

Qu<strong>in</strong>alphos 18 – – – –<br />

–<br />

– –<br />

Methyl parathion 13 – 3 – – –<br />

– –<br />

Edifenphos – – – – – – – 9<br />

82 Sivakumar et al


Constra<strong>in</strong>ts to adoption <strong>of</strong> pest <strong>management</strong> practices<br />

Three-fourths <strong>of</strong> the <strong>farmers</strong> expressed lack <strong>of</strong> an easy pest assessment technique as<br />

the major constra<strong>in</strong>t <strong>in</strong> follow<strong>in</strong>g need-based application <strong>of</strong> pesticides. Additional<br />

costs and lack <strong>of</strong> knowledge about IPM practices were the other major constra<strong>in</strong>ts<br />

expressed. Most <strong>of</strong> the <strong>farmers</strong> were also not aware <strong>of</strong> the use <strong>of</strong> biocontrol agents.<br />

Discussion<br />

The survey <strong>farmers</strong> commonly look for pests and symptoms <strong>of</strong> their damage dur<strong>in</strong>g<br />

field visits. The most commonly observed pests are earhead bug, stem borer, and<br />

leaffolder. Farmers commonly see dragonflies, damselflies, and spiders and know<br />

that they are <strong>in</strong>sects that do not damage <strong>rice</strong>.<br />

Department <strong>of</strong> Agriculture <strong>of</strong>ficials are the primary source <strong>of</strong> pest <strong>management</strong><br />

<strong>in</strong>formation for <strong>farmers</strong>. Among those pest <strong>management</strong> practices adopted by <strong>farmers</strong>,<br />

few could give the reasons beh<strong>in</strong>d the practices, except for clean<strong>in</strong>g bunds, proper<br />

spac<strong>in</strong>g, and proper weed<strong>in</strong>g.<br />

The adoption <strong>of</strong> biological control and some <strong>of</strong> the physical practices, such as<br />

summer plow<strong>in</strong>g, clipp<strong>in</strong>g leaf tips, and harvest<strong>in</strong>g <strong>rice</strong> close to the soil level, is very<br />

low. Shantha (1992) reported similar f<strong>in</strong>d<strong>in</strong>gs. Keith et al (1993) found that even<br />

<strong>farmers</strong> who applied the same amount <strong>of</strong> pesticides with improved tim<strong>in</strong>g <strong>of</strong> their<br />

applications obta<strong>in</strong>ed <strong>in</strong>creased yield.<br />

The <strong>farmers</strong> mostly make decisions about apply<strong>in</strong>g pesticides based on casual<br />

observations <strong>of</strong> the <strong>rice</strong> crop and subjective assessments <strong>of</strong> damage or expected damage.<br />

They rely ma<strong>in</strong>ly on chemicals to control <strong>rice</strong> pests because a prophylactic schedule<br />

<strong>of</strong> apply<strong>in</strong>g <strong>in</strong>secticides with fungicides has been recommended for more than 20<br />

years. Prophylactic measures are perceived as <strong>in</strong>surance aga<strong>in</strong>st the threat <strong>of</strong> loss<br />

from pest damage.<br />

<strong>Pest</strong>icides applied <strong>in</strong> neighbor<strong>in</strong>g fields <strong>of</strong>ten prompt <strong>farmers</strong> to also apply pesticides<br />

because they fear that the pests will migrate to their fields.<br />

Limited knowledge <strong>of</strong> <strong>rice</strong> pests, lack <strong>of</strong> familiarity with scheduled applications,<br />

anxiety to save the crop, lack <strong>of</strong> group efforts, and <strong>in</strong>adequate knowledge <strong>of</strong> IPM<br />

methods have shaped <strong>farmers</strong>’ pest <strong>management</strong>. To improve <strong>farmers</strong>’ practices, the<br />

focus must be on educat<strong>in</strong>g them on a pragmatic approach to reduc<strong>in</strong>g pest damage<br />

by resort<strong>in</strong>g to appropriate chemical and nonchemical methods <strong>of</strong> pest <strong>management</strong><br />

and promot<strong>in</strong>g group efforts.<br />

To <strong>in</strong>crease the adoption <strong>of</strong> IPM practices, an efficient field-level organization <strong>of</strong><br />

<strong>farmers</strong> is <strong>in</strong>dispensable for synchroniz<strong>in</strong>g their pest <strong>management</strong> practices through<br />

groups (Goodell 1990). Group efforts also build the confidence levels <strong>of</strong> more <strong>farmers</strong><br />

more efficiently.<br />

Educat<strong>in</strong>g rural children on grow<strong>in</strong>g crops and on pest <strong>management</strong> will encourage<br />

the use <strong>of</strong> nonchemical control methods <strong>in</strong> the long run. Conduct<strong>in</strong>g IPM demonstrations<br />

<strong>in</strong> <strong>farmers</strong>’ fields and work<strong>in</strong>g out the cost-benefit ratio will help to dispel<br />

any negative attitudes <strong>farmers</strong> may harbor about these practices. Demonstrations also<br />

enrich their knowledge and skills.<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Tamil Nadu, lndia 83


To feed the <strong>in</strong>creas<strong>in</strong>g population, government planners have given top priority<br />

to f<strong>in</strong>d<strong>in</strong>g ways to <strong>in</strong>crease <strong>rice</strong> production while the land planted to <strong>rice</strong> is decreas<strong>in</strong>g.<br />

To achieve this, improved practices are needed to <strong>in</strong>crease the yield per unit area.<br />

But <strong>in</strong>tensive cultivation and chang<strong>in</strong>g agroclimatic factors can <strong>of</strong>ten aggravate pest<br />

problems, mak<strong>in</strong>g <strong>farmers</strong> more anxious about protect<strong>in</strong>g their crops. In this context,<br />

<strong>farmers</strong> must adopt pragmatic pest <strong>management</strong> practices to cope with chang<strong>in</strong>g environments<br />

and to ensure susta<strong>in</strong>able production. Achiev<strong>in</strong>g this objective is a challenge<br />

because the farm<strong>in</strong>g community is vast and the majority <strong>of</strong> its members have<br />

small, marg<strong>in</strong>al hold<strong>in</strong>gs. Planners’ long-term policies must be <strong>in</strong> tune with these<br />

facts to meet production goals.<br />

References<br />

Athimuthu P. 1990. Diagnostic study on <strong>in</strong>formation <strong>management</strong>, learn<strong>in</strong>g experience and<br />

extent <strong>of</strong> adoption <strong>of</strong> nutrient use technology for <strong>rice</strong>. Ph.D. thesis. Tamil Nadu Agricultural<br />

University, Coimbatore.<br />

Gogoi SK, Gogoi DK. 1989. Adoption <strong>of</strong> recommended plant protection practices <strong>in</strong> <strong>rice</strong>: a<br />

multivariate analysis. Indian J. Exten. Educ. 25(1&2):27-29.<br />

Goodell G. 1984. Challenges to <strong>in</strong>ternational pest <strong>management</strong> research and extension <strong>in</strong> the<br />

Third World: do we really want IPM to work? Bull. Entomol. Soc. Am. 30(3):20-26.<br />

Goodell G, Andrews KL, Lopez JI. 1990. The contributions <strong>of</strong> agronomo-anthropologists to<br />

on-farm research and extension <strong>in</strong> <strong>in</strong>tegrated pest <strong>management</strong>. Agric. Syst. 32(4):321-<br />

339.<br />

Grieshop JI, Zalom FG, Miyao G. 1988. Adoption and diffusion <strong>of</strong> <strong>in</strong>tegrated pest <strong>management</strong><br />

<strong>in</strong>novations <strong>in</strong> agriculture. Bull. Entomol. Soc. Am. 34(2):73.<br />

Keith DG, L<strong>in</strong>der DK, Wetzstern ME, Musser WN. 1983. Evaluat<strong>in</strong>g extension <strong>in</strong>tegrated pest<br />

<strong>management</strong> programs with factor analysis <strong>in</strong>dices. Entomol. Soc. Am. 29(3):43-46.<br />

Kenmore PE. 1987. Criteria for the economic evaluation <strong>of</strong> alternative pest <strong>management</strong> strategies<br />

<strong>in</strong> develop<strong>in</strong>g countries (cited <strong>in</strong> Waibel H and Engelhardt T). FAO Plant Prot. Bull.<br />

36(1):27-33.<br />

Mohankumar VA. 1985. An analysis <strong>of</strong> diffusion <strong>of</strong> selected paddy varieties <strong>in</strong> Chengelpattu<br />

district. M.Sc. thesis. Tamil Nadu Agricultural University, Coimbatore.<br />

Rajagopalan V. 1983. Deceleration <strong>of</strong> rates <strong>of</strong> agricultural growth <strong>in</strong> Tamil Nadu: trends and<br />

explanatory factors. Indian J. Agric. Econ. 38(4):568-584.<br />

Ramasamy C, Shanmugam TR, Suresh Kumar D. 1993. Constra<strong>in</strong>ts to higher <strong>rice</strong> yield <strong>in</strong><br />

different <strong>rice</strong> production environments and prioritization <strong>of</strong> <strong>rice</strong> research <strong>in</strong> Southern India.<br />

Department <strong>of</strong> Agricultural Economics, Tamil Nadu Agricultural University,<br />

Coimbatore. p 95-98.<br />

Reichelderfer KH. 1980. Economics <strong>of</strong> <strong>in</strong>tegrated pest <strong>management</strong>: discussion. Am. J. Agric.<br />

Econ. 62(5):1012-1013.<br />

Sagar RL, Pal MK. 1986. Adoption <strong>of</strong> plant protection <strong>in</strong> major field crops as related to some<br />

selected characteristics <strong>of</strong> <strong>farmers</strong>. <strong>Pest</strong>. Infor. 11(4):1-4.<br />

Salvi PV, Gajre VG. 1985. Source <strong>of</strong> <strong>in</strong>formation used by the <strong>farmers</strong> <strong>in</strong> stages <strong>of</strong> adoption <strong>of</strong><br />

recommended farm practices. <strong>Pest</strong>icides 19(6):68-69.<br />

Satapathy C, Pattnaik T. 1986. Awareness about plant protection measures. <strong>Pest</strong>. Infor. 11(4):6.<br />

Seeta PK. 1985. The treatment <strong>of</strong> pesticides <strong>in</strong> the production function framework: a skeptical<br />

note. Indian J. Agric. Econ. 40(2): 123-129.<br />

84 Sivakumar et al


Sen D, Doijad PS. 1983. Factors <strong>in</strong>fluenc<strong>in</strong>g the adoption <strong>of</strong> <strong>in</strong>tegrated pest <strong>management</strong> and<br />

agricultural productivity. <strong>Pest</strong>icides 17:3-7.<br />

Shandta G. 1992. Integrated pest <strong>management</strong> <strong>in</strong> <strong>rice</strong>: achievements and opportunities. Ph.D.<br />

thesis. Tamil Nadu Agricultural University. Coimbatore.<br />

Subrahmanyam CK. 1985. Acceptance and adoption <strong>of</strong> TNAU <strong>in</strong>novations <strong>of</strong> paddy varieties.<br />

M.Sc. thesis. Tamil Nadu Agricultural University, Coimbatore.<br />

Teng PS, Savary S. 1992. Implement<strong>in</strong>g the systems approaches <strong>in</strong> pest <strong>management</strong>. Agric.<br />

Syst. 40:237-264.<br />

Veerasamy S, Satapathy C, Appa Rao G. 1992. Constra<strong>in</strong>ts <strong>of</strong> <strong>rice</strong> production <strong>in</strong> coastal Orissa.<br />

Indian J. Exten. Educ. 28(1&2):71-76.<br />

Notes<br />

Authors’address: Tamil Nadu Agricultural University. Coimbatore 641 003, Tamil Nadu, India.<br />

Citation: Heong KL, Escalada MM, editors. 1997. <strong>Pest</strong> <strong>management</strong> <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong>.<br />

Manila (Philipp<strong>in</strong>es): <strong>International</strong> Rice Research Institute.<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Tamil Nadu, lndia 85


CHAPTER 6<br />

<strong>Pest</strong> <strong>management</strong> practices<br />

<strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> West Java,<br />

Indonesia<br />

S. Kartaatmadja, J. Soejitno, and I.P. Wardana<br />

Surveys were carried out <strong>in</strong> the districts <strong>of</strong> lndramayu, Subang, and<br />

Karawang on the north coast <strong>of</strong> West Java <strong>in</strong> 1991 and 1993. The<br />

first survey was designed to evaluate <strong>farmers</strong>’ knowledge, attitudes,<br />

and practices <strong>in</strong> controll<strong>in</strong>g <strong>rice</strong> pests. A more <strong>in</strong>-depth survey <strong>of</strong> <strong>rice</strong><br />

pest <strong>management</strong> was conducted <strong>in</strong> 1993 <strong>in</strong> Desa village, Cikalong,<br />

represent<strong>in</strong>g Karawang district. Farmers ranked the white stem borer<br />

as the most important <strong>rice</strong> pest on the north coast <strong>of</strong> West Java,<br />

followed by the brown planthopper. Most <strong>farmers</strong> agreed that rats<br />

were the most severe <strong>rice</strong> pest dur<strong>in</strong>g the dry season. Farmers reported<br />

bacterial leaf blight, called kresek, as the most common <strong>rice</strong><br />

disease <strong>in</strong> the field. Bacterial red stripe or bacterial orange leaf blight,<br />

a newly identified <strong>rice</strong> disease, was reportedly found <strong>in</strong> the field. In<br />

both surveys, <strong>farmers</strong>’ reliance on <strong>in</strong>secticides as a control method<br />

for <strong>rice</strong> pests was high. Surpris<strong>in</strong>gly, most <strong>of</strong> them (76%) applied<br />

broad-spectrum <strong>in</strong>secticides that are not recommended for use<br />

aga<strong>in</strong>st <strong>rice</strong> pests. Rice variety IR64 was widely used on the north<br />

coast <strong>of</strong> West Java (82% <strong>in</strong> the wet season and 46% <strong>in</strong> the dry<br />

season <strong>of</strong> 1991). But <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Cikalong avoided plant<strong>in</strong>g IR64<br />

<strong>in</strong> both seasons to prevent white stem borer <strong>in</strong>festation. Farmers<br />

collected egg masses <strong>of</strong> white stem borer <strong>in</strong> <strong>rice</strong> seedbeds.<br />

Introduction<br />

In 1976, <strong>rice</strong> <strong>farmers</strong> experienced a catastrophe when more than 500,000 ha <strong>of</strong> <strong>rice</strong>fields<br />

were devastated by brown planthoppers ( Nilaparvata lugens ). Follow<strong>in</strong>g the BPH<br />

outbreak, the <strong>in</strong>cidence <strong>of</strong> <strong>rice</strong> grassy stunt and ragged stunt virus hampered efforts to<br />

<strong>in</strong>crease <strong>rice</strong> production (Hib<strong>in</strong>o et al 1977, Palmer and Rao 1981). In 1986, approximately<br />

76,000 ha <strong>of</strong> <strong>rice</strong>fields <strong>in</strong> Central Java were aga<strong>in</strong> destroyed by BPH. which<br />

led the government to ban broad-spectrum <strong>in</strong>secticides (Oka 1991a). In the wet season<br />

<strong>of</strong> 1989-90, no fewer than 65,000 ha <strong>of</strong> <strong>rice</strong>fields were damaged by white stem<br />

borers ( Scirpophaga <strong>in</strong>nonata ) (Oka 1991 b). The follow<strong>in</strong>g year, 7,000 ha <strong>of</strong> <strong>rice</strong>fields<br />

87


<strong>in</strong> Karawang were aga<strong>in</strong> <strong>in</strong>fested by white stem borer, result<strong>in</strong>g <strong>in</strong> zero <strong>rice</strong> yield.<br />

Sudarmadji et al (1994) discovered that more than 10,000 ha <strong>of</strong> <strong>rice</strong>fields <strong>in</strong> Indramayu<br />

were heavily attacked by white stem borer. This outbreak, apparently localized <strong>in</strong><br />

these districts, occurred dur<strong>in</strong>g the early years <strong>of</strong> implementation <strong>of</strong> the <strong>in</strong>tegrated<br />

pest <strong>management</strong> (IPM) program <strong>in</strong> Indonesia (Oka 1991a).<br />

Bann<strong>in</strong>g 57 broad-spectrum <strong>in</strong>secticides along with the government policy to<br />

elim<strong>in</strong>ate <strong>in</strong>secticide subsidies marked the government’s effort to implement IPM<br />

nationwide. But pesticides are believed to cause pest problems rather than to solve<br />

them (Stern et al 1959). And we cannot simply tell <strong>farmers</strong> not to use <strong>in</strong>secticides to<br />

protect <strong>rice</strong> plants from <strong>in</strong>sect damage. Rice <strong>farmers</strong> <strong>in</strong> irrigated areas have been<br />

participat<strong>in</strong>g <strong>in</strong> the <strong>rice</strong> production <strong>in</strong>tensification program for a long time, <strong>in</strong> which<br />

controll<strong>in</strong>g <strong>rice</strong> pests with <strong>in</strong>secticides is mandatory. Escalada and Heong (1993) stated<br />

that the use <strong>of</strong> pesticides has led <strong>farmers</strong> to associate pesticide use with modernism,<br />

Efforts are be<strong>in</strong>g made to change these <strong>farmers</strong>’ attitudes and perceptions. The farmer<br />

field school (FFS) (Oka 1991a) and farmer participatory research (FPR) (Escalada<br />

and Heong 1993, Fujisaka et al 1993) are possible methods to be used to conv<strong>in</strong>ce<br />

<strong>farmers</strong> that <strong>in</strong>secticide use is not always necessary.<br />

Studies on <strong>farmers</strong>’ behavior and state <strong>of</strong> knowledge have not been made <strong>in</strong> Indonesia.<br />

Research on <strong>rice</strong> pest <strong>management</strong> is based mostly on what researchers th<strong>in</strong>k is<br />

best for <strong>farmers</strong>. But this approach is no longer acceptable. Instead, farmer-driven<br />

research has to be done before develop<strong>in</strong>g the research strategy. Therefore, the knowledge,<br />

attitudes, and practices (KAP) <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> pest <strong>management</strong> should be<br />

determ<strong>in</strong>ed. Escalada and Heong (1992b) revealed that the slow adoption <strong>of</strong> IPM has<br />

been attributed to the widespread gaps <strong>in</strong> <strong>farmers</strong>’ knowledge on rational pest <strong>management</strong>.<br />

This paper presents a pr<strong>of</strong>ile <strong>of</strong> <strong>farmers</strong>’ knowledge, attitudes, and practices <strong>in</strong><br />

<strong>rice</strong> areas where pest occurrence is high. In endemic areas, <strong>farmers</strong> tend to apply<br />

excessive <strong>in</strong>secticides. Strategic research can be designed to exam<strong>in</strong>e the problem <strong>of</strong><br />

the <strong>in</strong>sect pest complex aris<strong>in</strong>g from this situation. Where <strong>rice</strong> plant<strong>in</strong>g time is determ<strong>in</strong>ed<br />

by the allocation <strong>of</strong> irrigation water and resistant cultivars are not available,<br />

<strong>farmers</strong> might rely on <strong>in</strong>secticides to control <strong>rice</strong> pests. Successful implementation <strong>of</strong><br />

IPM would depend on <strong>farmers</strong>’ understand<strong>in</strong>g <strong>of</strong> it.<br />

Methods<br />

The data <strong>in</strong> these studies were collected us<strong>in</strong>g a questionnaire written <strong>in</strong> the Indonesian<br />

language. The questionnaire was pretested before a formal survey was carried<br />

out. The questionnaire was revised to avoid ambiguity, redundancy, and bias. One<br />

farmer group <strong>in</strong> Ciasem Tengah village, Subang, was selected for the survey. In this<br />

village, <strong>farmers</strong> have experienced white stem borer damage to their <strong>rice</strong> crop. The<br />

first KAP survey was conducted <strong>in</strong> 1991 <strong>in</strong> three major <strong>rice</strong>-produc<strong>in</strong>g districts <strong>in</strong><br />

West Java. In 1993, a farmer participatory research, one approach to implement<strong>in</strong>g<br />

IPM, was conducted <strong>in</strong> Cikalong village. A KAP survey was conducted <strong>in</strong> this<br />

88 Kartaatmadja et al


village before FPR began. The same questionnaire developed for the first survey was<br />

used <strong>in</strong> the second one. Key data were analyzed us<strong>in</strong>g the chi-square test.<br />

First survey<br />

The districts <strong>of</strong> Indramayu, Subang, and Karawang on the north coast <strong>of</strong> West Java,<br />

the ma<strong>in</strong> <strong>rice</strong>-produc<strong>in</strong>g areas, were selected as survey sites. The survey was conducted<br />

<strong>in</strong> September-October 1991.<br />

The total imgated <strong>rice</strong> area <strong>in</strong> these districts is 271,000 ha or 60.3% <strong>of</strong> the total<br />

irrigated area <strong>in</strong> Jalur Pantura (north coast <strong>of</strong> West Java), which represents 30.8% <strong>of</strong><br />

that area <strong>in</strong> West Java (Fig. 1). Two agricultural extension agency work<strong>in</strong>g areas<br />

(WKBPP) from each district were selected based on the high <strong>in</strong>cidence <strong>of</strong> white stem<br />

borer <strong>in</strong> the previous year. A WKBPP covers an area equivalent to a subdistrict. From<br />

each WKBPP, two villages were selected (Table 1). Every village has 14 farmer groups,<br />

each with 50–70 members. For the purpose <strong>of</strong> this survey, only two farmer groups<br />

were selected. The respondents from each group were chosen randomly. Before the<br />

survey, the field <strong>in</strong>terviewers were briefed on the content <strong>of</strong> the questionnaire. They<br />

were also asked to be neutral.<br />

Fig. 1. Location <strong>of</strong> areas <strong>in</strong> West Java chosen as survey sites.<br />

<strong>Pest</strong> <strong>management</strong> practlces <strong>of</strong> rlce <strong>farmers</strong> In West Java. Indonesia 89


Table 1. Villages selected as sites for the survey on knowledge,<br />

attitudes, and practices, 1991.<br />

District<br />

lndramayu<br />

Subang<br />

Karawang<br />

WKBPP a<br />

Kebulen<br />

Patral<br />

Compreng<br />

Ciasem<br />

Pedes<br />

Tegalsari<br />

Village<br />

Silyeg<br />

Tarnbi<br />

Anjatan<br />

Cilandak Lor<br />

Compreng<br />

Mekarjaya<br />

Sukahaji<br />

Ciasem Tengah<br />

Laban Jaya<br />

Payung Sari<br />

Kalibuaya<br />

Cadas Kertajaya<br />

a WKBPP = agricultural extension agency work<strong>in</strong>g area, which covers approximately<br />

10,000 ha.<br />

Second survey<br />

Cikalong village <strong>in</strong> the district <strong>of</strong> Karawang was selected as the survey site because it<br />

(1) has been chosen by local adm<strong>in</strong>istrators as a promis<strong>in</strong>g village <strong>in</strong> the district,<br />

(2) has high accessibility <strong>in</strong> terms <strong>of</strong> transportation and communication, (3) experienced<br />

severe damage to the <strong>rice</strong> crop from white stem borer, and (4) has a high percentage<br />

<strong>of</strong> <strong>farmers</strong> who have attended the farmer field school. All 446 <strong>farmers</strong> <strong>in</strong> the<br />

village were members <strong>of</strong> seven farmer groups, and 47 were FFS alumni. A total <strong>of</strong><br />

128 <strong>farmers</strong> were selected randomly from all <strong>farmers</strong> who had not attended the FFS.<br />

Likewise, all 47 FFS alumni and 6 FFS alumni from neighbor<strong>in</strong>g villages, but who<br />

were members <strong>of</strong> farmer groups <strong>in</strong> Cikalong village, were <strong>in</strong>cluded as respondents <strong>in</strong><br />

this survey.<br />

Results<br />

Demographic pr<strong>of</strong>ile<br />

The average age <strong>of</strong> <strong>farmers</strong> <strong>in</strong>terviewed <strong>in</strong> Indramayu, Subang, and Karawang was<br />

42.9. Most had 3–5 yr <strong>of</strong> school<strong>in</strong>g. But their experience <strong>in</strong> <strong>rice</strong> farm<strong>in</strong>g was relatively<br />

long (17–22 yr). Some had experienced severe outbreaks <strong>of</strong> brown planthopper,<br />

<strong>rice</strong> grassy stunt, and <strong>rice</strong> ragged stunt. The average landhold<strong>in</strong>gs <strong>in</strong> Indramayu,<br />

Subang, and Karawang were 1.0, 1.1, and 1.5 ha, respectively. In the three districts,<br />

the percentage <strong>of</strong> <strong>farmers</strong> who own and cultivate land was relatively higher than those<br />

who share it with other <strong>farmers</strong>. The <strong>farmers</strong>’ pr<strong>of</strong>ile was similar <strong>in</strong> these districts, as<br />

it was <strong>in</strong> Cikalong village (Table 2).<br />

Farmers perceptions <strong>of</strong> <strong>rice</strong> pests<br />

In the first survey, <strong>farmers</strong> were asked about any <strong>rice</strong> pests and diseases they were<br />

familiar with. Perhaps because the <strong>rice</strong>fields <strong>in</strong> Karawang, Subang, and Indramayu<br />

had been severely damaged by white stem borer (WSB), <strong>farmers</strong> could easily recog-<br />

90 Kartaatmadja et al


Table 2. Demographic pr<strong>of</strong>ile <strong>of</strong> respondents <strong>in</strong> the survey on knowledge, attitudes, and practices,<br />

1991 and 1993.<br />

1991<br />

1993<br />

Specification lndramayu Subang Karawang Overall FFS a Non-FFS Overall<br />

Age (yr) 53.5 40.9 44.3 46.2 42.1 44.2 43.1<br />

Education (yr) 3.75.0 4.74.5 5.8 5.7 5.7<br />

Experience <strong>in</strong> farm<strong>in</strong>g (yr) 18.9 17.0 21.5 19.1 19.5 22.2 20.8<br />

Landhold<strong>in</strong>gs (ha) 1.0 1.1 1.5 1.2 0.9 1.3 1.1<br />

Land tenure (%)<br />

Owner 58.0 62.0 49.0 56.3 77.0 84.0 80.5<br />

• Share 42.0 38.0 51.0 43.7 23.0 16.0 19.5<br />

a FFS = <strong>farmers</strong>’ field school (SLPHT <strong>in</strong> Indonesian).<br />

nize this <strong>in</strong>festation through the plant appearance, which showed deadheart and whitehead.<br />

Under strong light, the WSB moth could be detected <strong>in</strong> houses or streets. We<br />

were not able to measure <strong>farmers</strong>’ knowledge <strong>in</strong> differentiat<strong>in</strong>g BPH from whitebacked<br />

planthopper (WBPH), simply because <strong>in</strong> the first survey the <strong>in</strong>terviewers were not<br />

provided with pictures <strong>of</strong> both <strong>in</strong>sects. But <strong>farmers</strong> were quite familiar with hopperburn<br />

as a symptom <strong>of</strong> <strong>rice</strong> plants damaged by BPH. Farmers referred to bacterial leaf blight<br />

as kresek, bacterial red stripe as red disease, and gall midge as onion leaves <strong>of</strong> <strong>rice</strong>.<br />

Us<strong>in</strong>g this approach, <strong>farmers</strong> were asked to name the <strong>rice</strong> pests and diseases they<br />

considered important. They were allowed to list more than one <strong>rice</strong> pest and disease.<br />

Dur<strong>in</strong>g the wet season, WSB was ranked as the most important pest (35%), followed<br />

by BPH (31 %), bacterial leaf blight (31%), and rats (30%) <strong>in</strong> the three districts.<br />

In the dry season, rats were considered as the major pest (65%), followed by bacterial<br />

red stripe (42%) and WSB (18%). Farmers <strong>in</strong> Cikalong village were asked about<br />

friendly <strong>in</strong>sects or those that could help control <strong>rice</strong> pests. Hav<strong>in</strong>g been shown pictures<br />

<strong>of</strong> common predators <strong>of</strong> <strong>rice</strong> pests, <strong>farmers</strong> listed them <strong>in</strong> order <strong>of</strong> importance as<br />

spiders, frogs, snakes, dragonflies, Ophionea sp. (Scarabidae), and Tenodera sp.<br />

(Mantidae).<br />

Rice varieties<br />

First <strong>in</strong>troduced <strong>in</strong> Indonesia <strong>in</strong> 1986, <strong>rice</strong> variety IR64 has become popular with<br />

<strong>farmers</strong>. Farmers were asked to recall the varieties they planted dur<strong>in</strong>g the past four<br />

seasons, from the wet season <strong>of</strong> 1989-90 up to the dry season <strong>of</strong> 1991. Throughout<br />

these seasons, IR64 appeared to be the dom<strong>in</strong>ant variety <strong>in</strong> Karawang, Subang, and<br />

Indramayu. In the wet season <strong>of</strong> 1989-90, 89% <strong>of</strong> the respondents planted their fields<br />

with IR64, and only 11% planted a variety other than IR64, such as Ciliwung, Cisadane,<br />

IR42, and Way Seputih. The percentage <strong>of</strong> <strong>farmers</strong> plant<strong>in</strong>g IR64 <strong>in</strong> the dry season<br />

was relatively lower than that <strong>in</strong> the wet season. About 42% <strong>of</strong> the <strong>farmers</strong> <strong>in</strong>terviewed<br />

<strong>in</strong> Karawang, Subang, and Indramayu had been grow<strong>in</strong>g IR64 for at least four<br />

consecutive seasons. To our surprise, few <strong>farmers</strong> <strong>in</strong> Cikalong village grew IR64 dur<strong>in</strong>g<br />

the wet season <strong>of</strong> 1992-93 and dry season <strong>of</strong> 1993 (Fig. 2). A more diverse set <strong>of</strong><br />

<strong>rice</strong> varieties was found <strong>in</strong> Cikalong village, such as Muncul, Cisadane, and IR42.<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> West Java, lndonesia 91


Fig. 2. Varieties cultivated by <strong>farmers</strong> <strong>in</strong> Cikalong, Karawang.<br />

When <strong>farmers</strong> were asked why they chose a particular variety, both surveys revealed<br />

that the high p<strong>rice</strong> <strong>of</strong> <strong>rice</strong>, resistance to pests and diseases, and high yields were the<br />

most important considerations <strong>in</strong> decid<strong>in</strong>g which variety to grow.<br />

Physical and mechanical control<br />

Follow<strong>in</strong>g the outbreak <strong>of</strong> WSB <strong>in</strong> the wet season <strong>of</strong> 1989-90, it was recommended<br />

that <strong>farmers</strong> cut and burn the stand<strong>in</strong>g <strong>rice</strong> plants to avoid further dispersal <strong>of</strong> the<br />

white stem borer. School children collected egg masses, particularly those <strong>in</strong> seedbeds.<br />

Among the <strong>farmers</strong> <strong>in</strong>terviewed, 34% collected egg masses and 33% burned<br />

<strong>rice</strong> straw. Only 8% <strong>of</strong> the <strong>farmers</strong> practiced trapp<strong>in</strong>g WSB with a kerosene lamp. The<br />

situation was similar <strong>in</strong> Cikalong village. About 15% <strong>of</strong> the <strong>farmers</strong> trapped WSB<br />

moths us<strong>in</strong>g kerosene lamps and another 15% burned <strong>rice</strong> straw. Some 49% <strong>of</strong> the<br />

FFS alumni <strong>in</strong>terviewed reported collect<strong>in</strong>g WSB egg masses <strong>in</strong> seedbeds, whereas<br />

only 17% <strong>of</strong> non-FFS alumni collected egg masses.<br />

Chemical control<br />

Nonrecommended <strong>in</strong>secticides. The 1991 survey revealed a high percentage <strong>of</strong> <strong>farmers</strong><br />

<strong>in</strong>terviewed who applied broad-spectrum <strong>in</strong>secticides, which are not recommended<br />

for use aga<strong>in</strong>st <strong>rice</strong> pests. More than three-fourths <strong>of</strong> the <strong>farmers</strong> (76%) used recommended<br />

and nonrecommended <strong>in</strong>secticides. Only 23% <strong>of</strong> the <strong>farmers</strong> used recommended<br />

<strong>in</strong>secticides, and only 1% did not apply any <strong>in</strong>secticides. The survey <strong>in</strong><br />

Cikalong village showed that 63% <strong>of</strong> non-FFS alumni applied nonrecommended <strong>in</strong>secticides<br />

and 23% <strong>of</strong> FFS alumni were still us<strong>in</strong>g the same group <strong>of</strong> <strong>in</strong>secticides. A<br />

survey conducted by Central Policies for Implementation Studies (CPIS) (Suyanto et<br />

92 Kartaatmadja et al


al 1994) <strong>in</strong> some districts <strong>of</strong> Java revealed that FFS <strong>farmers</strong> (25%) were no different<br />

from non-FFS <strong>farmers</strong> (29%) <strong>in</strong> their use <strong>of</strong> nonrecommended <strong>in</strong>secticides.<br />

Time <strong>of</strong> application. Some 62.5% <strong>of</strong> the <strong>farmers</strong> <strong>in</strong> Karawang, Subang, and<br />

Indramayu applied <strong>in</strong>secticides at least once <strong>in</strong> seedbeds. The preferred time for <strong>farmers</strong><br />

to apply <strong>in</strong>secticides was dur<strong>in</strong>g the first 30 d after transplant<strong>in</strong>g. Some 36-86% <strong>of</strong><br />

the <strong>farmers</strong> followed this calendar system. The 1993 survey showed a similar pattern,<br />

<strong>in</strong> which FFS <strong>farmers</strong> (75%) and non-FFS <strong>farmers</strong> (82%) applied <strong>in</strong>secticides <strong>in</strong> seedbeds.<br />

The application <strong>of</strong> <strong>in</strong>secticides by both groups <strong>of</strong> <strong>farmers</strong> dur<strong>in</strong>g this stage was<br />

not significant. Dur<strong>in</strong>g the first 30 d after transplant<strong>in</strong>g, 86% <strong>of</strong> non-FFS <strong>farmers</strong><br />

applied <strong>in</strong>secticides to their <strong>rice</strong>fields, a much higher percentage than their FFS counterparts<br />

(Fig. 3). The survey by CPIS (Suyanto et a1 1994) showed that 57% <strong>of</strong> FFS<br />

<strong>farmers</strong> and 60% <strong>of</strong> non-FFS <strong>farmers</strong> sprayed <strong>in</strong>secticides dur<strong>in</strong>g the first 30 d after<br />

transplant<strong>in</strong>g.<br />

Frequency <strong>of</strong> application. The 1991 survey showed that <strong>farmers</strong> applied carb<strong>of</strong>uran<br />

<strong>in</strong> seedbeds and <strong>in</strong> fields. Other <strong>in</strong>secticides used were BPMC and organophosphate.<br />

A clearer picture <strong>of</strong> the frequency <strong>of</strong> <strong>farmers</strong>’ <strong>in</strong>secticide applications emerged <strong>in</strong><br />

Cikalong village (Fig. 4). The statistical analysis showed that the non-FFS alumni<br />

applied <strong>in</strong>secticides more than four times <strong>in</strong> one cropp<strong>in</strong>g season, which is significantly<br />

higher than what the FFS alumni did. Few non-FFS alumni applied fewer than<br />

two times. <strong>in</strong> contrast to FFS alumni, who preferred to apply once or not at all <strong>in</strong> a<br />

cropp<strong>in</strong>g season. The same percentages <strong>of</strong> FFS and non-FFS alumni, however. frequently<br />

apply <strong>in</strong>secticides two to three times per season.<br />

Fig. 3. Time <strong>of</strong> <strong>in</strong>secticide application for <strong>rice</strong> <strong>in</strong> Cikalong,<br />

wet season 1992-93.<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> West Java. Indonesia 93


Fig. 4. Frequency <strong>of</strong> <strong>in</strong>secticide application <strong>in</strong> Cikalong, wet<br />

season 1992-93.<br />

Discussion<br />

The districts <strong>of</strong> Karawang, Subang, and Indramayu are among 20 districts <strong>in</strong> West<br />

Java. These three districts may not represent the agricultural situation <strong>in</strong> the prov<strong>in</strong>ce,<br />

especially with respect to knowledge, attitudes, and practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> pest<br />

<strong>management</strong>. But almost certa<strong>in</strong>ly the three districts represent the seven districts on<br />

the north coast <strong>of</strong> West Java. The ma<strong>in</strong> difference between districts on the north coast<br />

and <strong>in</strong> the central pla<strong>in</strong> or southern part <strong>of</strong> West Java is the occurrence <strong>of</strong> <strong>rice</strong> pests<br />

and diseases. More frequent outbreaks have been reported on the north coast compared<br />

with almost none <strong>in</strong> the southern part <strong>of</strong> West Java (Sudarmadji et al 1994).<br />

Results for these three districts, however, may reflect similar situations <strong>in</strong> other prov<strong>in</strong>ces<br />

hav<strong>in</strong>g the same problems with <strong>rice</strong> pests and diseases.<br />

The two surveys focused on issues that might affect <strong>farmers</strong>’ decision mak<strong>in</strong>g <strong>in</strong><br />

<strong>rice</strong> pest <strong>management</strong>: (1) perceptions <strong>of</strong> pests and diseases, (2) knowledge <strong>of</strong> the<br />

importance <strong>of</strong> predators, (3) goals <strong>in</strong> the farm<strong>in</strong>g system, (4) perceptions <strong>of</strong> control<br />

practices recommended by authorities, and (5) views on the use <strong>of</strong> chemical control,<br />

particularly <strong>in</strong>secticides.<br />

In the past, much attention was given to BPH control and even policies to implement<br />

IPM were mostly based on the BPH experience. Much effort was directed to<br />

develop<strong>in</strong>g <strong>rice</strong> varieties resistant to BPH and bann<strong>in</strong>g 57 broad-spectrum <strong>in</strong>secticides.<br />

This is shown by the outbreak <strong>of</strong> white stem borer on the north coast <strong>of</strong> West<br />

Java <strong>in</strong> early 1990, which devastated 65,000 ha <strong>of</strong> <strong>rice</strong>.<br />

94 Kartaatmadja et al


When the survey respondents were <strong>in</strong>terviewed <strong>in</strong> 1991, most <strong>farmers</strong> mentioned<br />

WSB as an important pest dur<strong>in</strong>g the wet season. The response might have been<br />

different if <strong>farmers</strong> had been asked before the WSB outbreak. Farmers’ knowledge <strong>of</strong><br />

<strong>rice</strong> pests and diseases and how they perceive these <strong>in</strong> relation to yield loss is unclear.<br />

It has been shown that they equate the importance <strong>of</strong> bacterial leaf blight to that <strong>of</strong><br />

BPH and WSB, which <strong>in</strong> fact was not always the case. Bacterial leaf blight may, to<br />

some extent, cause reduced yield, but this may not be as high as the yield loss caused<br />

by BPH and WSB. It seems that <strong>farmers</strong> use visible plant symptoms as a criterion for<br />

rank<strong>in</strong>g pest importance. Noticeable predators would attract <strong>farmers</strong>’ attention, such<br />

as snakes as predators <strong>of</strong> rats.<br />

Farmers on the north coast <strong>of</strong> West Java are usually commercial <strong>rice</strong> <strong>farmers</strong>. For<br />

example, <strong>in</strong>terviewed <strong>farmers</strong> (FFS and non-FFS alumni) mentioned the high p<strong>rice</strong> <strong>of</strong><br />

<strong>rice</strong> as their most important criterion <strong>in</strong> decid<strong>in</strong>g what variety they should grow. Because<br />

<strong>of</strong> its resistance to BPH, along with other preferred varietal characteristics,<br />

IR64 has been widely accepted by <strong>farmers</strong> <strong>in</strong> West Java. But once <strong>farmers</strong> found that<br />

IR64 was more susceptible to WSB, they switched to other varieties that <strong>of</strong>fered more<br />

reliable yields. Only a few <strong>farmers</strong> <strong>in</strong> Cikalong planted IR64. Many Indonesian <strong>farmers</strong><br />

clearly considered resistant <strong>rice</strong> varieties as an essential component <strong>of</strong> IPM. Therefore,<br />

breed<strong>in</strong>g for resistance to the ma<strong>in</strong> pests and diseases will rema<strong>in</strong> important.<br />

Farmers’ reluctance to destroy <strong>rice</strong> plants <strong>in</strong>fested with WSB or BPH is understandable.<br />

Those <strong>farmers</strong> who have suffered severe yield losses could not afford to<br />

spend more money to cut and burn <strong>rice</strong> straw, and they did not see a direct advantage<br />

for themselves. Collect<strong>in</strong>g egg masses to control WSB might be useful when done <strong>in</strong><br />

seedbeds and when the number <strong>of</strong> egg masses is quite low. Rauf et al (1992) revealed<br />

from their study <strong>in</strong> Karawang, West Java, that kerosene lamps were not effective as a<br />

tool to trap the WSB moth because these lamps trapped only a few moths. Some <strong>of</strong><br />

the trapped moths had already laid their eggs <strong>in</strong> the field before enter<strong>in</strong>g the lamp.<br />

The depth <strong>of</strong> <strong>farmers</strong>’ knowledge and practices <strong>of</strong> pest <strong>management</strong> can be measured<br />

<strong>in</strong> a number <strong>of</strong> ways. The variables could be an appreciation <strong>of</strong> natural enemies,<br />

the ability to detect and identify a pest problem, or attitudes toward <strong>in</strong>secticide applications.<br />

The National IPM Program <strong>in</strong> Indonesia promotes the conservation <strong>of</strong> natural<br />

enemies. To enhance this natural biological control, pesticide application has to be<br />

m<strong>in</strong>imized and, if possible, stopped. It is possible that <strong>in</strong> SLPHT (FFS), <strong>farmers</strong> did<br />

not receive adequate knowledge or ga<strong>in</strong> enough experience <strong>in</strong> us<strong>in</strong>g and handl<strong>in</strong>g<br />

<strong>in</strong>secticides. Suyanto et al (1994) used <strong>in</strong>secticide knowledge and practices as <strong>in</strong>dicators<br />

<strong>of</strong> the level <strong>of</strong> <strong>farmers</strong>’ knowledge <strong>of</strong> IPM. Their f<strong>in</strong>d<strong>in</strong>g is somewhat astonish<strong>in</strong>g:<br />

among FFS <strong>farmers</strong> <strong>in</strong>terviewed, 55–60% <strong>of</strong> them used <strong>in</strong>secticide sprays at least<br />

once dur<strong>in</strong>g the first 30 d after transplant<strong>in</strong>g, and 51–58% <strong>of</strong> those who sprayed used<br />

a nonrecommended <strong>in</strong>secticide, that is, approximately 26% <strong>of</strong> the FFS <strong>farmers</strong> <strong>in</strong>terviewed.<br />

This result was consistent with f<strong>in</strong>d<strong>in</strong>gs obta<strong>in</strong>ed from surveys conducted <strong>in</strong><br />

Karawang, Subang, and Indramayu. Similar f<strong>in</strong>d<strong>in</strong>gs were reported by groups <strong>of</strong> researchers<br />

from IPB (1995), RILET (1996), and RIR (1996). The question is why<br />

these f<strong>in</strong>d<strong>in</strong>gs differ from those reported by the National IPM Program (1993). The<br />

discrepancy may be due to differences <strong>in</strong> the survey methods.<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> West Java, lndonesia 95


Both surveys <strong>in</strong>dicated that most <strong>farmers</strong> <strong>in</strong> an endemic area did not apply <strong>in</strong>secticides<br />

prophylactically. When queried why he applied <strong>in</strong>secticides without wait<strong>in</strong>g<br />

until the pest population reached the economic threshold, one farmer said that he was<br />

womed that all <strong>rice</strong> pests from the neighbor<strong>in</strong>g areas would move <strong>in</strong>to his field (Soejitno<br />

1991). Farmers’ negligence <strong>in</strong> the use <strong>of</strong> recommended <strong>in</strong>secticides has been reported<br />

to occur <strong>in</strong> other places (Kartaatmadja et al 1991). Farmers might not be aware <strong>of</strong> the<br />

weaknesses <strong>of</strong> broad-spectrum <strong>in</strong>secticides as a possible cause <strong>of</strong> <strong>in</strong>sect resurgence<br />

and hazards to beneficial <strong>in</strong>sects. Farmers’ cont<strong>in</strong>uous use <strong>of</strong> broad-spectrum <strong>in</strong>secticides<br />

could trigger the buildup <strong>of</strong> other <strong>in</strong>sect pests, particularly BPH.<br />

The high percentage <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> who applied broad-spectrum <strong>in</strong>secticides,<br />

<strong>in</strong>clud<strong>in</strong>g those who attended the FFS, can be expla<strong>in</strong>ed by the follow<strong>in</strong>g: (1) WSB<br />

was considered as their most important <strong>rice</strong> pest, (2) the first survey was conducted<br />

just a year after the outbreak, and (3) this group <strong>of</strong> <strong>in</strong>secticides is available <strong>in</strong> the<br />

market.<br />

To improve pest <strong>management</strong>, <strong>farmers</strong> must have the knowledge and skills to<br />

diagnose pests and diseases, assess the presence <strong>of</strong> natural enemies, and decide on<br />

appropriate control measures. The FFS was designed to meet this objective. Apparently<br />

farmer adoption <strong>of</strong> the IPM concept is not only determ<strong>in</strong>ed by the degree <strong>of</strong><br />

<strong>farmers</strong>’ knowledge but also by how they view IPM. Researchers at IPB (1995) demonstrated<br />

that the low adoption <strong>of</strong> IPM by FFS alumni is due to the rejection <strong>of</strong> the<br />

IPM concept itself by <strong>farmers</strong>, because they were not confident about implement<strong>in</strong>g<br />

it. Norton and Heong (1988) stated that <strong>farmers</strong> might not adopt IPM because it will<br />

not make them better <strong>of</strong>f.<br />

W<strong>in</strong>arto (1996) po<strong>in</strong>ted out that a simple analysis <strong>of</strong> pest <strong>management</strong> by tra<strong>in</strong>ers<br />

could lead to a simple conclusion, that is, to spray or not spray, <strong>in</strong>stead <strong>of</strong> a general<br />

crop <strong>management</strong> strategy. Farmers could not appreciate that the absence <strong>of</strong> predators<br />

was caused by the spray<strong>in</strong>g <strong>of</strong> <strong>in</strong>secticides. In her study <strong>in</strong> Ciasem subdistrict, Subang,<br />

W<strong>in</strong>arto (1996) mentioned three possible reasons why FFS alumni did not practice<br />

what they learned from their tra<strong>in</strong>ers.<br />

1. Tra<strong>in</strong><strong>in</strong>g itself is too scientific. The tra<strong>in</strong><strong>in</strong>g began <strong>in</strong> grade three <strong>in</strong>stead <strong>of</strong><br />

grade one.<br />

2. Farmers believed that FFS and IPM knowledge orig<strong>in</strong>ated from the government<br />

and scientists who emphasized pests and diseases and how to control<br />

them, rather than the broader problems <strong>of</strong> <strong>rice</strong> cultivation. Farmers perceived<br />

the FFS as only a school about pests and diseases.<br />

3. Tra<strong>in</strong>ers did not carry out any cultivation practices along with the <strong>farmers</strong> to<br />

demonstrate the validity <strong>of</strong> the new approach.<br />

96 Kartaatmadja et al


References<br />

Escalada MM, Heong KL. 1993. Communication and implementation <strong>of</strong> change <strong>in</strong> crop protection.<br />

In: Crop protection and susta<strong>in</strong>able agriculture. Chichester: John Wiley and Sons.<br />

p 191-207.<br />

Fujisaka S, Gu<strong>in</strong>o R, Medrano P, Obusan L. 1992. Establish<strong>in</strong>g a farmer participatory pest<br />

<strong>management</strong> experiment. Paper presented at the ARFSN-INSURF-IPM Jo<strong>in</strong>t Meet<strong>in</strong>g,<br />

12- 17 Oct 1992, Ho Chi M<strong>in</strong>h City, Vietnam. 11 p.<br />

Hib<strong>in</strong>o H, Roechan M, Sudarisman S, Tantera DM. 1977. A virus disease <strong>of</strong> <strong>rice</strong> (kerdil hampa)<br />

transmitted by the brown planthopper <strong>in</strong> Indonesia. Contributions 35:1-15.<br />

IPB (Bogor Agricultural University). 1995. Characteristic relationship <strong>of</strong> Farm Field School<br />

with knowledge and adoption gap <strong>of</strong> IPM <strong>in</strong> selected villages <strong>in</strong> Indramayu district, West<br />

Java. National IPM Project. 113 p. (In Indonesian.)<br />

Kartaatmadja S, Baehaki SE, Suparyono, Swastika dan DKS. 1991. The status <strong>of</strong> <strong>rice</strong> pests and<br />

diseases at farmer’s level. A case study <strong>in</strong> WKBPP Sumbang and Jompo Kulon. Banyumas.<br />

Reflector 4:34-36.<br />

National Integrated <strong>Pest</strong> Management Program. 1993. The impact <strong>of</strong> IPM tra<strong>in</strong><strong>in</strong>g on farmer<br />

behavior: a summary <strong>of</strong> results from the second field school cycle. National IPM Program.<br />

42 p.<br />

Norton GA, Heong KL. 1988. An approach to improv<strong>in</strong>g pest <strong>management</strong> <strong>of</strong> <strong>rice</strong> <strong>in</strong> Malaysia.<br />

Crop Protect. 7:84-90.<br />

Oka IN. 1991 a. Success and challenges <strong>of</strong> the Indonesian National <strong>Pest</strong> Management Program<br />

<strong>in</strong> a <strong>rice</strong>-based cropp<strong>in</strong>g system. Crop Protect. 20: 163.165.<br />

Oka IN. 1991b. Assessment <strong>of</strong> control for <strong>rice</strong> stem borer based on IPM concepts. National<br />

IPM Program. 19 p.<br />

Palmer LT, Rao PS. 1981. Grassy stunt, ragged stunt, and tungro diseases <strong>of</strong> <strong>rice</strong> <strong>in</strong> Indonesia.<br />

Trop. <strong>Pest</strong> Manage. 27:212-217.<br />

Rauf A, Santosa S, Nurmansyah A, Santosa TH. Rudianto dan SA. 1992. Spatial and temporal<br />

development <strong>of</strong> white stem borer, Scirpophaga <strong>in</strong>notata and its implication for research<br />

strategy. National IPM Program. 9 p. (In Indonesian.)<br />

RILET (Research Institute for Legumes and Tuber Crops). 1996. Evaluation <strong>of</strong> farmer field<br />

school impact, <strong>in</strong>stitutional <strong>in</strong>volvement and farmer participation <strong>in</strong> IPM implementation<br />

<strong>in</strong> East Java. National IPM Project. 115 p. (In Indonesian.)<br />

RIR (Research Institute for Rice). 1996. Social and economic impact <strong>of</strong> IPM implementation<br />

<strong>in</strong> West Java. National IPM Project. 100 p. (In Indonesian.)<br />

Soejitno J. 1991. Biology and control <strong>of</strong> <strong>rice</strong> stem borer. In: Soenarjo E, editor. Rice. Central<br />

Research Institute for Food Crops. Bogor (Indonesia): Book 3:713-735. (In Indonesian,)<br />

Stern VM, Smith RF, Van den Bosch R, Hagen KS. 1959. The <strong>in</strong>tegrated control concept.<br />

Hilgardia 29:81-101.<br />

Sudarmadji, Rahayu A. Kusdiaman D, Suharto H, Wardana dan P. 1994. Rice plants damaged<br />

by white stem borer Scirpophaga <strong>in</strong>notata <strong>in</strong> Indramayu <strong>in</strong> the wet season 1993/1994.<br />

Reflector 7:21-25.<br />

Suyanto, Hariyadi B, Budiyati S, Quizon J. 1994. Insecticide use <strong>in</strong> <strong>rice</strong> farm<strong>in</strong>g on Java: a<br />

prelim<strong>in</strong>ary study compar<strong>in</strong>g the behavior <strong>of</strong> SLPHT and non-SLPHT <strong>farmers</strong>. Agriculture<br />

Group Work<strong>in</strong>g Paper No. 20. Centre for Policy and Implementation Studies. 25 p.<br />

W<strong>in</strong>arto YT. 1996. Farmers’ perspectives on <strong>in</strong>tegrated pest <strong>management</strong>. Agric. Res. Ext. Newsl.<br />

34: 16-20.<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> West Java, Indonesia 97


Notes<br />

Authors’ addresses: S. Kartaatmadja, Central Research Institute for Food Crops, Bogor 16111,<br />

Indonesia. J. Soejitno and I.P. Wardana, Research Institute for Rice, Sukamandi, Subang<br />

41256, Indonesia.<br />

Acknowledgments: The authors wish to gratefully acknowledge the Swiss Agency for Development<br />

and Cooperation (SDC) for support<strong>in</strong>g the first survey through the Rice IPM Network<br />

coord<strong>in</strong>ated by <strong>IRRI</strong>, Philipp<strong>in</strong>es. The second survey was funded by the Government<br />

<strong>of</strong> Indonesia.<br />

Citation: Heong KL, Escalada MM, editors. 1997. <strong>Pest</strong> <strong>management</strong> <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong>.<br />

Manila (Philipp<strong>in</strong>es): <strong>International</strong> Rice Research Institute.<br />

98 Kartaatmadja et al


CHAPTER 7<br />

<strong>Pest</strong> <strong>management</strong> practices<br />

<strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> the ra<strong>in</strong>fed lowland<br />

environment <strong>of</strong> the Lao PDR<br />

H.R. Rapusas, J.M. Schiller, and V. Sengsoulivong<br />

A survey <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> was conducted <strong>in</strong> 11 prov<strong>in</strong>ces <strong>in</strong> the northern,<br />

central, and southern regions <strong>of</strong> Laos. A total <strong>of</strong> 463 respondents<br />

selected randomly from the sites were <strong>in</strong>terviewed <strong>in</strong> February,<br />

March, and October 1994.<br />

Most <strong>of</strong> the respondents were 30-45 years old and were owneroperators<br />

(90.3%). Farm sizes ranged from 0.25 to 7 ha. Thirt-eight<br />

percent had 1-2 ha, and a few had >5 ha <strong>of</strong><br />

land cultivated with <strong>rice</strong>. Farmers grew the traditional photoperiodsensitive<br />

and glut<strong>in</strong>ous varieties, grow<strong>in</strong>g 3–4 varieties <strong>in</strong> one season.<br />

The cropp<strong>in</strong>g pattern was usually <strong>rice</strong>-fallow (75.6%), although<br />

23% had <strong>rice</strong>-<strong>rice</strong> and 1% had <strong>rice</strong>-others (maize, vegetables, watermelon).<br />

Stem borers, grasshoppers, <strong>rice</strong> bugs, gall midge, and other<br />

lepidopterous larvae and worms were reported to be the most common<br />

pests observed <strong>in</strong> fields. About 75% <strong>of</strong> the respondents <strong>in</strong>dicated<br />

that they did noth<strong>in</strong>g to control these pests, whereas 22.7%<br />

said they applied pesticides. Most <strong>of</strong> those who used pesticides<br />

applied them only once, mostly <strong>in</strong> the seedbed and with<strong>in</strong> the first<br />

40 d after transplant<strong>in</strong>g. Most <strong>of</strong> the pesticides used belong to categories<br />

I and II. Yields <strong>of</strong> <strong>farmers</strong> who did not apply pesticides were<br />

higher than for those who treated their crops aga<strong>in</strong>st <strong>in</strong>sects, rats,<br />

and crabs.<br />

Seventy-two percent <strong>of</strong> the respondents perceived that leaf-feed<strong>in</strong>g<br />

<strong>in</strong>sects cause a yield loss and 43.5% believed that these <strong>in</strong>sects<br />

should be controlled early. Some respondents were aware <strong>of</strong> the<br />

presence <strong>of</strong> natural enemies <strong>in</strong> their fields, such as spiders, dragonflies,<br />

beetles, and wasps, but were uncerta<strong>in</strong> about their roles.<br />

99


Introduction<br />

Laos is located almost entirely <strong>in</strong> the Mekong River watershed, with a total land area<br />

<strong>of</strong> about 237,000 km 2 . Lowland alluvial pla<strong>in</strong>s and terraces <strong>in</strong> the central and southem<br />

areas constitute 20%, hills back<strong>in</strong>g the lowlands, 50%, and mounta<strong>in</strong>s <strong>of</strong> 1,000-<br />

3,000 m above sea level, 30%, to the north and along the eastern border with Vietnam.<br />

The country has a population <strong>of</strong> about 4.6 million.<br />

As the most important sector <strong>of</strong> the economy <strong>of</strong> the Lao PDR, agriculture accounted<br />

for about 56% <strong>of</strong> the total value added <strong>in</strong> 1993 (UNDP 1994) and <strong>in</strong>volved<br />

about 80% <strong>of</strong> the population. Rice is the most important crop, with about 83% <strong>of</strong> the<br />

649,000 ha under cultivation devoted to <strong>rice</strong>. The ma<strong>in</strong> non<strong>rice</strong> crops are maize (27,000<br />

ha), vegetables (15,000 ha), and tuber crops (14,000 ha); the rest are cotton, soybean,<br />

sesame, peanut, tobacco, and sugarcane, which collectively account for about 100,000<br />

ha. C<strong>of</strong>fee and tea are grown on about 22,000 ha. Approximately 97% <strong>of</strong> the total<br />

cultivated area depends on ra<strong>in</strong>fall.<br />

Total annual <strong>rice</strong> production ranges from 1.5 to 1.6 million t. But the dependence<br />

on ra<strong>in</strong>fall can result <strong>in</strong> annual fluctuations. In 1993, serious flood<strong>in</strong>g reduced production<br />

to 1.46 million t, whereas <strong>in</strong> 1995 it fell to about 1.25 million t as a result <strong>of</strong><br />

serious drought <strong>in</strong> much <strong>of</strong> the ra<strong>in</strong>fed lowland environment (LAO-<strong>IRRI</strong> Project Report<br />

1996, Lao PDR 1996). Most <strong>of</strong> the <strong>rice</strong> produced is consumed domestically, with<br />

less than 5% believed to be traded.<br />

The wet-season <strong>rice</strong> crop is produced on about 98% <strong>of</strong> the <strong>rice</strong> area and accounts<br />

for 97% <strong>of</strong> production. Sixty-two percent <strong>of</strong> the ra<strong>in</strong>fed lowland contributes 76% <strong>of</strong><br />

production, whereas 36% <strong>of</strong> the ra<strong>in</strong>fed uplands accounts for 22% <strong>of</strong> production. In<br />

1994, irrigated <strong>rice</strong> was grown on an estimated 11,000 ha and <strong>in</strong> 1995 on 13,300 ha.<br />

The highest production from lowland <strong>rice</strong> comes from the central region (247,829 t)<br />

and southern region (123,325 t). The northern region produces upland <strong>rice</strong>.<br />

Approximately 86% <strong>of</strong> the ra<strong>in</strong>fed lowland <strong>rice</strong> area is <strong>in</strong> the central and southern<br />

agricultural regions, ma<strong>in</strong>ly <strong>in</strong> the prov<strong>in</strong>ces adjacent to the Mekong River. The<br />

major <strong>rice</strong>-produc<strong>in</strong>g pla<strong>in</strong>s are the Vientiane Pla<strong>in</strong> (Vientiane Prov<strong>in</strong>ce and Vientiane<br />

Municipality), Borikhamxay, Sebang-Faay (Khammouane and Savannakhet), Sebang-<br />

Hiang (Savannakhet Prov<strong>in</strong>ce), Sedone (Saravane Prov<strong>in</strong>ce), and Champassak. The<br />

topography <strong>of</strong> this area ma<strong>in</strong>ly consists <strong>of</strong> a system <strong>of</strong> ancient low terraces with an<br />

elevation <strong>of</strong> about 200 m. The rema<strong>in</strong><strong>in</strong>g ra<strong>in</strong>fed lowlands mostly occupy rather narrow<br />

river valleys <strong>in</strong> the more northern prov<strong>in</strong>ces. Some production areas <strong>of</strong> between<br />

500 and 2,000 ha are also found <strong>in</strong> the north.<br />

Ra<strong>in</strong>fall <strong>in</strong> most prov<strong>in</strong>ces along the Mekong River valley ranges from about<br />

1,500 to 2,200 mm on average per year, with about 75% be<strong>in</strong>g received from May to<br />

October. In other northern prov<strong>in</strong>ces (Sayabouly and Luang Prabang), it drops to<br />

about 1,300 mm. August and September are considered the wettest months <strong>of</strong> the<br />

year, when heavy ra<strong>in</strong>s can result <strong>in</strong> localized flood<strong>in</strong>g. Soils <strong>of</strong> much <strong>of</strong> the <strong>rice</strong>produc<strong>in</strong>g<br />

area adjacent to the Mekong River are derived ma<strong>in</strong>ly from old alluvial<br />

deposits and sandstone materials <strong>in</strong> the prov<strong>in</strong>ces <strong>of</strong> Saravane and Savannakhet.<br />

100 Rapusas et al


In the ra<strong>in</strong>fed lowland environment, a s<strong>in</strong>gle wet-season <strong>rice</strong> crop is the predom<strong>in</strong>ant<br />

agricultural activity. Farmers commonly plant traditional glut<strong>in</strong>ous photoperiodsensitive<br />

varieties, with each farmer grow<strong>in</strong>g 34 varieties <strong>of</strong> vary<strong>in</strong>g maturity periods.<br />

Early matur<strong>in</strong>g varieties are normally planted <strong>in</strong> the upper terraces, where water<br />

supply is less certa<strong>in</strong>, whereas later matur<strong>in</strong>g varieties are grown <strong>in</strong> the lower areas.<br />

Early matur<strong>in</strong>g cultivars constitute 20% <strong>of</strong> the varieties planted, whereas medium<br />

varieties make up 50% and late varieties 30%. Until about 1993, the rate <strong>of</strong> adoption<br />

<strong>of</strong> improved varieties was low and based ma<strong>in</strong>ly on the use <strong>of</strong> the Thai glut<strong>in</strong>ous<br />

varieties RD6, RD8, and RDl0 and nonglut<strong>in</strong>ous variety Khaw Dok Mali 105 or<br />

KDML 105. In 1993, however, the recommended Lao varieties Niaw Thadokham 1<br />

(TDK1), Niaw Thadokham 2 (TDK2), and Phone Ngam 1 were released and subsequently<br />

adopted by <strong>farmers</strong>, particularly <strong>in</strong> central and southern Laos.<br />

The usual cropp<strong>in</strong>g calendar is for seedbed <strong>rice</strong> to be sown <strong>in</strong> early to mid-June<br />

and transplanted <strong>in</strong> early to mid-July. Tim<strong>in</strong>g <strong>of</strong> these operations, however, is much<br />

dependent on ra<strong>in</strong>fall distribution. Because the <strong>rice</strong> production cycle is at a very low<br />

level <strong>of</strong> mechanization, more than 95% <strong>of</strong> the area is cultivated us<strong>in</strong>g traditional buffalo-drawn<br />

plows. Plant<strong>in</strong>g, weed<strong>in</strong>g, and harvest<strong>in</strong>g are all done manually. Mobile<br />

threshers have become evident s<strong>in</strong>ce 1993, but they still account for less than 10% <strong>of</strong><br />

the harvested area; the rema<strong>in</strong>der is threshed manually.<br />

The level <strong>of</strong> technology adoption <strong>in</strong> the country is usually low. Apart from family<br />

labor, farm <strong>in</strong>puts <strong>in</strong> the system are m<strong>in</strong>imal. Organic fertilizer <strong>in</strong> the form <strong>of</strong> farm<br />

yard manure is usually applied to seedbed <strong>rice</strong>.<br />

The government’s aim <strong>of</strong> rais<strong>in</strong>g total production to between 2.0 and 2.2 million<br />

t by the year 2000 is largely based on achiev<strong>in</strong>g a significant production improvement<br />

<strong>in</strong> the ra<strong>in</strong>fed lowland environment through improved cultural practices, nutrient <strong>in</strong>puts,<br />

and <strong>in</strong>tegrated pest <strong>management</strong>.<br />

<strong>Pest</strong>icide use<br />

Lao <strong>farmers</strong> do not have a history <strong>of</strong> pesticide use. This reflects a comb<strong>in</strong>ation <strong>of</strong><br />

active government discouragement <strong>of</strong> their use, a lack <strong>of</strong> access to them <strong>in</strong> much <strong>of</strong><br />

the country, and the limited purchas<strong>in</strong>g power <strong>of</strong> small <strong>farmers</strong>. The limited use <strong>of</strong><br />

pesticides has been largely conf<strong>in</strong>ed to areas <strong>of</strong> irrigated <strong>rice</strong> <strong>in</strong> prov<strong>in</strong>ces adjacent to<br />

the Mekong River. But more recently, pesticide use has <strong>in</strong>creased <strong>in</strong> the areas <strong>of</strong> vegetable<br />

cultivation near the ma<strong>in</strong> population centers. Most pesticides used are <strong>in</strong>secticides<br />

and rodenticides. In the late 1980s and early 1990s, some pesticides were brought<br />

<strong>in</strong>to the country <strong>in</strong> the form <strong>of</strong> development aid. In 1993, the Department <strong>of</strong> Agriculture<br />

and Extension approved the import <strong>of</strong> approximately 63 t <strong>of</strong> various pesticides.<br />

The relatively open borders with Thailand, Vietnam, and Ch<strong>in</strong>a encourage the entry<br />

<strong>of</strong> pesticides, even those without government approval. Procedures for pesticide registration<br />

and regulation have not been established yet.<br />

Farmers’ perception <strong>of</strong> <strong>in</strong>sect pests as a production constra<strong>in</strong>t<br />

A survey <strong>of</strong> farmer perceptions <strong>of</strong> the ma<strong>in</strong> production constra<strong>in</strong>ts <strong>in</strong> the ra<strong>in</strong>fed lowland<br />

was conducted <strong>in</strong> 1993 (Khotsimuang et al 1995). Farmer respondents (191)<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Lao PDR 101


Table 1. Farmer rank<strong>in</strong>g <strong>of</strong> most important production constra<strong>in</strong>ts <strong>in</strong><br />

the ra<strong>in</strong>fed lowland environment.<br />

Prov<strong>in</strong>ce<br />

District<br />

Rank<strong>in</strong>g <strong>of</strong> productton constra<strong>in</strong>ts<br />

1 2 3<br />

Vientiane Mun.<br />

Vientiane<br />

Khammouane<br />

Savannakhet<br />

Saravane<br />

Champassak<br />

Champassak<br />

Sayabouly<br />

Nasaythong<br />

Thurakhom<br />

Thakhel<br />

Champone<br />

Vapi<br />

Sanasomboune<br />

Phonethong<br />

Phiang<br />

Drought<br />

Insects<br />

Drought<br />

Drought<br />

Drought<br />

Drought<br />

Drought<br />

Drought<br />

Weeds<br />

Drought<br />

Insects<br />

Crabs/snails<br />

Insects<br />

Insects<br />

Insects<br />

Insects<br />

Insects<br />

Weeds<br />

Weeds<br />

Weeds<br />

Weeds<br />

Weeds<br />

Weeds<br />

Weeds<br />

Source: Khotsimuang et al 1995.<br />

from n<strong>in</strong>e districts <strong>in</strong> seven prov<strong>in</strong>ces were asked to rank 11 potential production<br />

constra<strong>in</strong>ts, which <strong>in</strong>cluded <strong>in</strong>sect pests, rodents, crabs and snails, drought, weeds,<br />

diseases, soil fertility, labor, varieties, credit, and flood<strong>in</strong>g. Insect pests were rated<br />

with<strong>in</strong> the top three constra<strong>in</strong>ts for seven <strong>of</strong> the eight districts (Table 1), whereas<br />

damage caused by crabs or snails was rated as second <strong>in</strong> importance <strong>in</strong> two districts.<br />

Survey <strong>of</strong> farmer pest <strong>management</strong> practices<br />

Farmers’ perceptions <strong>of</strong> pests, techniques available, and resources <strong>of</strong>ten <strong>in</strong>fluence the<br />

adoption <strong>of</strong> improved pest <strong>management</strong> practices. An assessment and understand<strong>in</strong>g<br />

<strong>of</strong> <strong>farmers</strong>’ current practices, perceptions, and constra<strong>in</strong>ts is important for improv<strong>in</strong>g<br />

their pest <strong>management</strong> decision mak<strong>in</strong>g (Lim and Heong 1984, Mumford and Norton<br />

1984, Norton and Heong 1988). Similarly, a better understand<strong>in</strong>g <strong>of</strong> the biological<br />

and ecological processes and socioeconomic factors that <strong>in</strong>fluence their decision<br />

mak<strong>in</strong>g is <strong>of</strong>ten necessary. Understand<strong>in</strong>g <strong>farmers</strong>’ perceptions may have research<br />

implications for improv<strong>in</strong>g pest <strong>management</strong> practices and decision-mak<strong>in</strong>g processes.<br />

Between February and March and <strong>in</strong> October 1994, a survey <strong>of</strong> <strong>farmers</strong>’ knowledge,<br />

attitudes, perceptions, and current pest <strong>management</strong> practices was undertaken<br />

<strong>in</strong> the ra<strong>in</strong>fed lowland <strong>rice</strong> environment <strong>in</strong> 18 districts distributed over 11 prov<strong>in</strong>ces<br />

<strong>of</strong> Lao PDR. Although some <strong>of</strong> the areas surveyed are irrigated dur<strong>in</strong>g the dry season,<br />

they are usually considered ra<strong>in</strong>fed dur<strong>in</strong>g the wet season because <strong>of</strong> the <strong>in</strong>ability to<br />

control water dur<strong>in</strong>g this part <strong>of</strong> the year. The prov<strong>in</strong>ces <strong>in</strong>cluded <strong>in</strong> the survey represented<br />

all three regions <strong>of</strong> the country (Fig. 1). In the north were the prov<strong>in</strong>ces <strong>of</strong><br />

Luang Namtha, Oudumxay, Luang Prabang, and Sayabouly; <strong>in</strong> the central region<br />

were Vientiane, Xieng Khouang, Borikhamxay, Savannakhet, and Vientiane Municipality.<br />

The southern region was represented by the prov<strong>in</strong>ces <strong>of</strong> Saravane and<br />

Champassak.<br />

102 Rapusas et al


Fig. 1. Survey sites ( • ).<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Lao PDR 103


Method<br />

A total <strong>of</strong> 463 <strong>farmers</strong> were <strong>in</strong>terviewed; <strong>in</strong>dividual respondents were selected at<br />

random with<strong>in</strong> each district (Table 2). The survey sites were identified by Lao researchers<br />

and technicians who were collaborators <strong>of</strong> the LAO-<strong>IRRI</strong> Project and these<br />

were mostly the places where they worked with <strong>farmers</strong>. From each district, two or<br />

three villages were selected for the survey. Respondents were selected by tak<strong>in</strong>g one<br />

farmer for every five households unless the farmer was not available dur<strong>in</strong>g the time<br />

<strong>of</strong> the survey, <strong>in</strong> which case we chose the next farmer. We conducted the <strong>in</strong>terviews<br />

us<strong>in</strong>g a structured questionnaire translated <strong>in</strong>to the Lao language, and obta<strong>in</strong>ed <strong>in</strong>formation<br />

related to cropp<strong>in</strong>g activities dur<strong>in</strong>g the 1993 wet season. We coded, summarized,<br />

and tabulated the gathered data <strong>in</strong> frequency tables.<br />

Sociodemographic pr<strong>of</strong>ile<br />

Farm size and tenure status. The total planted area <strong>of</strong> respondents was about 756 ha,<br />

produc<strong>in</strong>g 1,482 t <strong>of</strong> <strong>rice</strong>. Farm sizes ranged from 0.25 to 7 ha. The smallest landhold<strong>in</strong>gs<br />

were <strong>in</strong> Oudumxay and Xieng Khouang (av 0.89 and 0.86 ha, respectively); the<br />

largest were <strong>in</strong> Savannakhet (av 2.32 ha) and Vientiane Municipality (av 1.87 ha).<br />

Some 38% <strong>of</strong> the respondents had less than 1 ha, and approximately 43% had between<br />

l.1 and 2 ha. Only four respondents had more than 5 ha.<br />

Table 2. Distribution <strong>of</strong> respondents.<br />

Prov<strong>in</strong>ce District Respondents<br />

(n=463)<br />

Northern region<br />

Luang Namtha<br />

Oudumxay<br />

Luang Prabang<br />

Sayabouly<br />

Xieng Khouang<br />

Central region<br />

Vientiane Mun.<br />

Vientiane Prov.<br />

Borikhamxay<br />

Savannakhet<br />

Southern region<br />

Saravane<br />

Charnpassak<br />

Total<br />

Xieng<br />

Namtha<br />

Xay<br />

Luang Prabang<br />

Phiang<br />

Bonneau<br />

Nasaythong<br />

Saythany<br />

Phonehong,<br />

Thurakum<br />

Paksan<br />

Xaybouly<br />

Champone<br />

Saravane<br />

Vapi<br />

Champassak<br />

Pakse<br />

Sanasomboun<br />

12<br />

13<br />

25<br />

35<br />

25<br />

25<br />

58<br />

65<br />

32<br />

10<br />

49<br />

21<br />

14<br />

11<br />

25<br />

13<br />

30<br />

463<br />

104 Rapusas et al


Some 90.3% <strong>of</strong> the respondents were owner-operators, mostly from the prov<strong>in</strong>ces<br />

<strong>of</strong> Luang Namtha, Oudumxay, Xieng Khouang, Borikhamxay, Saravane, and<br />

Xaybouli District <strong>of</strong> Savannakhet Prov<strong>in</strong>ce.<br />

Age classes. Respondents’ ages ranged from 20 to 75, with farm<strong>in</strong>g experience<br />

from 1 to 60 years. Most (61%) were between ages 30 and 45.<br />

Production practices<br />

Cropp<strong>in</strong>g pattern. Some 75% <strong>of</strong> the respondents planted a s<strong>in</strong>gle wet-season <strong>rice</strong><br />

crop. Some <strong>farmers</strong> (23%) followed a <strong>rice</strong>-<strong>rice</strong> cropp<strong>in</strong>g pattern. Fewer than 1% reported<br />

that they planted non<strong>rice</strong> crops such as maize, watermelon, cucumber, and<br />

vegetables after their wet-season <strong>rice</strong>.<br />

Rice varieties. Farmers grew a wide range <strong>of</strong> varieties, most <strong>of</strong> which were traditional<br />

glut<strong>in</strong>ous photoperiod-sensitive varieties. Most households cultivated 3–4 different<br />

varieties with vary<strong>in</strong>g maturity periods, to fit consumption needs and help distribute<br />

the labor requirement. Seed supplies for most <strong>farmers</strong> (90%) came from their<br />

own harvests or, occasionally, through seed exchange with other farm households <strong>in</strong><br />

the area. Those with access to research stations (10%) sometimes obta<strong>in</strong>ed some seed<br />

from these stations. The most common methods <strong>of</strong> clean<strong>in</strong>g seeds before plant<strong>in</strong>g<br />

were w<strong>in</strong>now<strong>in</strong>g and flotation.<br />

Fertilizer use. Of 135 respondents from the northern region, only 13.3% applied<br />

<strong>in</strong>organic fertilizer dur<strong>in</strong>g the 1993 wet season. In contrast, 32% and 33% <strong>of</strong> the<br />

respondents from the central and southern regions, respectively, reported the use <strong>of</strong><br />

fertilizer. Respondents us<strong>in</strong>g fertilizer were high <strong>in</strong> Vientiane Prov<strong>in</strong>ce (81%),<br />

Savannakhet (80%), Saythany District <strong>of</strong> Vientiane Municipality (67%), Saravane<br />

(66%), and Champassak (64%). None <strong>of</strong> the respondents from the prov<strong>in</strong>ces <strong>of</strong> Luang<br />

Namtha and Xieng Khouang reported us<strong>in</strong>g fertilizer.<br />

<strong>Pest</strong> <strong>management</strong> knowledge, practices, and perceptions<br />

In the 1993 wet season, the five most commonly mentioned pests that attacked <strong>rice</strong><br />

plants were stem borers, orthopterans, <strong>rice</strong> bugs, gall midge, and leaffolders.<br />

The importance <strong>of</strong> these pests varied among the sites (Table 3). In Luang Namtha,<br />

grasshoppers and locusts, leaffolders, and caterpillars or worms were the three commonly<br />

mentioned pests, whereas <strong>in</strong> Oudumxay they were grasshoppers, caterpillars,<br />

and gall midge. Luang Prabang and Sayabouly respondents reported stem borers as<br />

the most common pest, followed by gall midge, grasshoppers, and <strong>rice</strong> bugs. In<br />

Vientiane Municipality, the two sites apparently had different pest problems. In<br />

Nasaythong, <strong>rice</strong> bugs, stem borers, and grasshoppers were ranked as the three most<br />

important pests, whereas <strong>in</strong> Saythany these were grasshoppers, stem borers, and thrips.<br />

Crabs were ranked as fourth at both sites. In Vientiane Prov<strong>in</strong>ce, stem borers and <strong>rice</strong><br />

bugs were reported most. Stem borers and gall midge were reported <strong>in</strong> Borikhamxay<br />

and Xaybouly <strong>of</strong> Savannakhet, whereas <strong>in</strong> Champone thrips and crabs were mentioned<br />

most. In Champassak, gall midge, hoppers, and thrips were mentioned most.<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Lao PDR 105


Table 3. <strong>Pest</strong>s that attack <strong>rice</strong> plants as reported by respondents.<br />

Farmers report<strong>in</strong>g (%)<br />

Vientiane Mun<br />

<strong>Pest</strong> Luang Oudumxay Luang Sayabouly Xieng<br />

Namtha Prabang Khouang Nay Say<br />

Leaf feeders<br />

Armyworm 0 0 0 3 0 7 0<br />

Cutworms/worms 5 11 6 3 0 5 3<br />

Caseworms 0 0 1 0 0 5 2<br />

Leaffolder 9 6 4 7 0 5 1<br />

Whorl maggot 0 0 0 0 0 0 0<br />

Rice skipper 3 0 0 1 0 0 0<br />

Grasshoppers/locust 20 23 19 12 0 23 16<br />

Thrips 0 0 5 1 0 4 10<br />

Brown planthopper 0 3 3 2 0 2 8<br />

Whitebacked<br />

planthopper 0 6 0 0 0 0 0<br />

Green leafhopper +<br />

zigzag leafhopper 0 2 2 1 0 1 0<br />

Stem feeders<br />

Stemborers 0 7 25 24 0 23 15<br />

Gall midge 0 10 9 15 0 0 0<br />

Gra<strong>in</strong> feeders<br />

Rice bugs 1 1 14 4 0 28 7<br />

Mole crickets 0 3 3 1 0 0 4<br />

Ants/termites 0 0 0 0 0 2 0<br />

Other pests<br />

Rats 1 0 3 4 0 14 9<br />

Crabs 0 0 3 0 0 6 6<br />

Birds 0 0 1 1 0 1 3<br />

Diseases (blast,<br />

sheath blight, 0 0 0 0 0 0 0<br />

false smut)<br />

<strong>Pest</strong> control practices<br />

<strong>Pest</strong> control methods. Although respondents reported observ<strong>in</strong>g several pests <strong>in</strong> their<br />

fields, 74.5% did noth<strong>in</strong>g to control these pests. Some 22.7% used pesticides to control<br />

them. A few others (2.8%) practiced handpick<strong>in</strong>g, water <strong>management</strong>, bait<strong>in</strong>g,<br />

and <strong>in</strong>digenous methods such as us<strong>in</strong>g leaves <strong>of</strong> some trees (Gliceridia sepium and<br />

Azadirachta <strong>in</strong>dica, etc.) to control pests.<br />

<strong>Pest</strong>icide use patterns. Of the 105 respondents who applied pesticides dur<strong>in</strong>g the<br />

1993 wet season, 75.2% <strong>of</strong> them made only one application and 20% made two applications.<br />

A few <strong>farmers</strong> (3.8%) applied pesticides as many as three times. One farmer<br />

from Savannakhet said he applied chemicals 10 times to control crabs.<br />

Seventy-four percent <strong>of</strong> those who used pesticides applied them dur<strong>in</strong>g the first<br />

40 d after transplant<strong>in</strong>g (DT). The other applications were either made <strong>in</strong> seedbeds or<br />

after 40 DT.<br />

106 Rapusas et al


Farmers report<strong>in</strong>g (%)<br />

Savannakhet<br />

Champassak<br />

Vientiane Borikhamxay Saravane Total<br />

Prov. Xay Cham Champ. Pakse Sana<br />

0<br />

0<br />

0<br />

0<br />

3<br />

0<br />

4<br />

1<br />

3<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

1<br />

0<br />

0<br />

8<br />

5<br />

0<br />

13<br />

0<br />

1<br />

8<br />

3<br />

3<br />

2<br />

3<br />

1<br />

3<br />

0<br />

0<br />

0<br />

9<br />

0<br />

0 0 0 0 20<br />

7 0 3 4 55<br />

0 5 0 0 16<br />

17 3 0 0 68<br />

0 1 0 0 4<br />

0 0 0 0 5<br />

3 0 0 0 129<br />

0 3 6 10 52<br />

19 0 2 14 59<br />

0 0 0 0 0 2 1 7 16<br />

0 0 0 0 0 3 0 0 10<br />

25 8 30 2 6 3 3 2 173<br />

4 8 22 3 1 5 0 20 97<br />

24 2 8 1 6 0 2 2 100<br />

2 0 0 0 0 0 0 0 13<br />

0 1 0 0 0 0 0 0 4<br />

0 0 0 0 0 1 0 0 33<br />

0 5 20 8 1 0 2 8 59<br />

0 0 0 0 1 0 0 0 7<br />

0 0 0 2 1 0 0 1 4<br />

Target pests. <strong>Pest</strong>icide applications <strong>in</strong> seedbeds were ma<strong>in</strong>ly for the control <strong>of</strong><br />

grasshoppers (Table 4). Some 54% <strong>of</strong> the applications dur<strong>in</strong>g the first 40 DT were<br />

aimed at controll<strong>in</strong>g stem borers, crabs, caterpillars or worms, and hoppers. But 27%<br />

<strong>of</strong> the <strong>farmers</strong> reported that they sprayed their plants as a prophylactic measure. Rice<br />

bugs, stem borers, and rats were the targets <strong>of</strong> applications made after 40 DT.<br />

Common pesticides used. Respondents <strong>in</strong>dicated that methyl parathion was the<br />

most commonly used <strong>in</strong>secticide. Others mentioned carbaryl, diaz<strong>in</strong>on, carb<strong>of</strong>uran,<br />

monocrotophos, metamidophos, endosulfan, BHC, and DDT. For rat control, <strong>farmers</strong><br />

used z<strong>in</strong>c phosphide. These pesticides belong to categories I and II. Table 5 shows the<br />

pesticides used by respondents from the different prov<strong>in</strong>ces.<br />

Precautionary measures <strong>in</strong> us<strong>in</strong>g pesticides. When <strong>farmers</strong> were asked what precautionary<br />

measures they practiced when us<strong>in</strong>g pesticides, the most commonly mentioned<br />

precaution was not to spray at all (27%). Some 12% were aware that wear<strong>in</strong>g<br />

protective cloth<strong>in</strong>g (e.g., long trousers, long sleeves) and cover<strong>in</strong>g the mouth and<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Lao PDR 107


Table 4. Target pests <strong>of</strong> pesticide applications a .<br />

Farmers report<strong>in</strong>g (no.)<br />

Seedbed 1st 40 DT 41-60 DT >60 DT<br />

(n=11) (n=79) (n=11) (n=4)<br />

<strong>Pest</strong>s Total %<br />

No. % No. % No. % No. %<br />

Grasshoppers 7 64 8 10.0 1 9.1 0 0 16 14.9<br />

Caterpillars/worms 1 9 13 16.5 1 9.1 0 0 15 14.0<br />

BPH a 1 9 11 14.0 0 0 1 25 13 12.1<br />

Leaffolders 00 4 5.0 2 18.2 1 25 7 6.5<br />

Stemborers 0 0 26 33.0 3 27.3 0 0 29 27.1<br />

Gall midge 00 4 5.0 0 0 0 0 4 3.7<br />

Rice bugs 00 3 3.8 4 36.4 2 50 9 8.4<br />

Thrips 00 7 8.9 0 0 0 0 7 6.5<br />

Crickets 00 2 2.5 0 0 1 25 3 2.8<br />

Others 00 6 7.6 0 0 1 25 7 6.5<br />

Crabs 1 9 14 17.7 1 9.1 1 25 17 15.9<br />

Rats 00 1 1.3 0 0 3 75 4 3.7<br />

General protection 1 9 21 26.6 0 0 0 0 22 20.5<br />

for any pest<br />

a DT = days after transplant<strong>in</strong>g, BPH = brown planthoppers.<br />

nose (10%) while spray<strong>in</strong>g were important. Ten percent were also aware that eat<strong>in</strong>g<br />

or smok<strong>in</strong>g should be avoided while spray<strong>in</strong>g. Other precautionary measures mentioned<br />

were not enter<strong>in</strong>g sprayed fields (5%), tak<strong>in</strong>g a bath or wash<strong>in</strong>g after spray<strong>in</strong>g<br />

(8%), and us<strong>in</strong>g IPM, read<strong>in</strong>g labels carefully, ask<strong>in</strong>g for advice, keep<strong>in</strong>g chemicals<br />

away from children and animals, not throw<strong>in</strong>g leftover solutions <strong>in</strong> water canals or<br />

rivers, not eat<strong>in</strong>g fish or vegetables from sprayed fields, and several others (14%).<br />

Source <strong>of</strong> plant protection advice. For plant protection advice, the agricultural<br />

<strong>of</strong>ficers <strong>of</strong> the respective prov<strong>in</strong>ces were the major source <strong>of</strong> <strong>in</strong>formation (53.5%).<br />

Farmers also obta<strong>in</strong>ed <strong>in</strong>formation from other <strong>farmers</strong>. either their neighbors or from<br />

other places (15%). <strong>Pest</strong>icide dealers (1%), relatives (2%), radio (2.5%), television<br />

(l%), newspapers (l%), and some personnel from NGOs and banks were also mentioned.<br />

Some respondents (27.5%) claimed that they depended on their own knowledge<br />

and experience.<br />

Farmers’ perceptions<br />

Perceptions on effectiveness <strong>of</strong> pesticides. When respondents were asked whether or<br />

not pesticides could <strong>in</strong>crease their yield, 68% believed that these pesticides would.<br />

Few (8%) said that pesticides would not <strong>in</strong>crease yield, whereas others (23.9%) had<br />

no op<strong>in</strong>ion.<br />

Toxicity <strong>of</strong> pesticides. The majority <strong>of</strong> the respondents (72%) believed that pesticides<br />

would kill humans, fish, and animals. Respondents who had not used <strong>in</strong>secticides,<br />

such as those from Xieng Khouang, had no idea about the effect <strong>of</strong> pesticides<br />

on humans, fish, and animals.<br />

108 Rapusas et al


Farmers (no.) us<strong>in</strong>g pesticides by site<br />

<strong>Pest</strong>icides used Luang Oudum- Luang Saya- Xieng Vientiane Vientiane Borikham- Savanna- Saravane Champassak Total %<br />

Namtha xay Prabang bouly Khouang Mun. Prov xay khet<br />

Z<strong>in</strong>c phosphide 0 0 0 0 0 2 0 0 0 0 0 2 1.8<br />

Table 5. <strong>Pest</strong>icides used by respondents.<br />

Organophosphate<br />

Methyl parathion 0 0 8 0 0 11 4 0 9 0 8 40 37.4<br />

(Folidol)<br />

Diaz<strong>in</strong>on 2 1 3 1 0 1 0 1 1 2 0 12 11.2<br />

Monocrotophos 0 0 0 0 0 0 6 0 1 2 4 13 12.1<br />

(Azodr<strong>in</strong>/<br />

Nuvacron)<br />

Metharnidophos 0 0 0 0 0 3 0 0 0 0 0 3 2.8<br />

(Tamaron)<br />

Endosulfan 0 0 0 0 0 3 0 0 0 0 0 3 2.8<br />

(Thiodan)<br />

BHC (L<strong>in</strong>dane) 0 0 0 1 0 0 0 0 0 0 0 1 0.9<br />

Carbamate<br />

Carb<strong>of</strong>uran 0 0 0 0 0 0 2 0 3 0 4 9 8.4<br />

(Furadan)<br />

Carbaryl (Sev<strong>in</strong>) 0 0 15 2 0 1 3 0 2 1 1 26 24.3<br />

Rodenticide


Table 6. Farmers’ perceptions on whether all arthropods <strong>in</strong> their<br />

<strong>rice</strong>field damage <strong>rice</strong> plants.<br />

Farmers report<strong>in</strong>g (no.)<br />

Prov<strong>in</strong>ce Yes No Do not know<br />

No. % No. % No. %<br />

Northern region<br />

Luang Namtha 6 1.3 14 3.0 5 11<br />

Oudumxay 2 0.4 22 4.8 1 0.2<br />

Luang Prabang 6 1.3 20 4.3 9 1.9<br />

Sayabouly 22 4.8 3 0.6 0 0<br />

Xieng Khouang 0 0 1 0.2 24 5.2<br />

Central region<br />

Vientiane Mun. 25 5.4 53 11.4 45 9.7<br />

Vientiane Prov. 10 2.2 12 2.6 10 2.2<br />

Borikhamxay 00 7 1.5 3 0.6<br />

Savannakhet 8 1.7 34 7.3 28 6.0<br />

Southern region<br />

Saravane 7 1.5 17 3.7 1 0.2<br />

Champassak 15 3.2 21 4.5 32 6.9<br />

Total 101 22.0 204 44.0 158 34.0<br />

Perceptions <strong>of</strong> leaf-feed<strong>in</strong>g <strong>in</strong>sects and other arthropods. Almost three-fourths <strong>of</strong><br />

the respondents (72.5%) perceived that leaf-feed<strong>in</strong>g <strong>in</strong>sects would cause a yield loss.<br />

About 16% thought that they would not cause a yield loss. About 43.5% <strong>of</strong> the respondents<br />

perceived that leaf-feed<strong>in</strong>g <strong>in</strong>sects should be controlled early. Some 15%<br />

believed that leaf-feed<strong>in</strong>g <strong>in</strong>sects need not be controlled, whereas 42% had no op<strong>in</strong>ion.<br />

Exactly two-thirds (66%) <strong>of</strong> the <strong>farmers</strong> also thought that leaf-feed<strong>in</strong>g <strong>in</strong>sects<br />

feed<strong>in</strong>g on plants <strong>in</strong> the early stage <strong>of</strong> growth can cause severe damage to the crop,<br />

whereas 18% believed otherwise. Some 16% had no op<strong>in</strong>ion.<br />

Fewer than one-half <strong>of</strong> the respondents <strong>in</strong>dicated that all arthropods <strong>in</strong> the field<br />

would not cause damage to the <strong>rice</strong> plant. It is <strong>in</strong>terest<strong>in</strong>g to note that around 34%<br />

admitted that they did not know the effect <strong>of</strong> arthropods on the <strong>rice</strong> plant, whereas<br />

22% said that they cause damage. Table 6 shows responses from the different prov<strong>in</strong>ces.<br />

Knowledge <strong>of</strong> natural enemies<br />

Despite their perception that not all arthropods <strong>in</strong> their field would damage the <strong>rice</strong><br />

plant, many <strong>farmers</strong> were not aware <strong>of</strong> the presence <strong>of</strong> these arthropods <strong>in</strong> their fields.<br />

Accord<strong>in</strong>g to 44% <strong>of</strong> the respondents, spiders, damselfly, dragonfly, prey<strong>in</strong>g mantis,<br />

ground beetles, frogs, and wasps would not eat on the <strong>rice</strong> plants. Other orthopterans<br />

(cricket and Conocephalus) and lady beetles were also mentioned (Table 7).<br />

110 Rapusas et al


Table 7. Natural enemies mentioned by respondents. No farmer surveyed <strong>in</strong> Xieng Khouang mentioned a natural enemy.<br />

Natural enemies Luang Oudumxay Luang Sayabouly Vientiane Vientiane Borikhamxay Savannakhet Saravane<br />

Namtha Prabang Mun. Prov.<br />

29 16<br />

0 8<br />

4 0<br />

0 0<br />

2 0<br />

0 0<br />

3 0<br />

0 0<br />

0 0<br />

2 2<br />

6 0<br />

0 0<br />

0 0<br />

0 0<br />

0 0<br />

0 0<br />

0 0<br />

Champassak Total<br />

5<br />

0<br />

1<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

1<br />

0<br />

2<br />

2<br />

1<br />

7<br />

1<br />

126<br />

36<br />

21<br />

11<br />

20<br />

6<br />

13<br />

2<br />

12<br />

5<br />

10<br />

1<br />

2<br />

2<br />

3<br />

12<br />

4<br />

Farmers mention<strong>in</strong>g (no.)<br />

Spiders<br />

Damselfly<br />

Dragonfly<br />

Prey<strong>in</strong>g mantis<br />

Lady beetle<br />

Ground beetle<br />

Waterbug<br />

Plantbug<br />

Wasps<br />

Conocephalus<br />

Cricket<br />

Water strider<br />

Parasites<br />

Predators<br />

Birds<br />

Frogs<br />

Fish<br />

10 16<br />

2 12<br />

0 6<br />

5 6<br />

1 1<br />

0 1<br />

0 1<br />

1 1<br />

0 12<br />

0 0<br />

0 0<br />

0 0<br />

0 0<br />

0 0<br />

1 0<br />

0 2<br />

0 3<br />

13<br />

4<br />

0<br />

0<br />

0<br />

0<br />

1<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

2<br />

1<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

1<br />

1<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

19<br />

2<br />

5<br />

0<br />

5<br />

1<br />

1<br />

0<br />

0<br />

0<br />

2<br />

0<br />

0<br />

0<br />

1<br />

3<br />

0<br />

9<br />

1<br />

5<br />

0<br />

4<br />

0<br />

1<br />

0<br />

0<br />

0<br />

0<br />

1<br />

0<br />

0<br />

0<br />

0<br />

0<br />

7<br />

6<br />

0<br />

0<br />

7<br />

4<br />

6<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0


Table 8. Yield comparisons <strong>of</strong> respondents who used and did not use pesticides.<br />

Prov<strong>in</strong>ce<br />

District<br />

Sprayed<br />

Unsprayed<br />

Area Yield Area Yield<br />

(ha) (t ha -1 ) (ha) (t ha -1 )<br />

Northern region<br />

Luang Namtha 2.5 2.56 29.6 2.96<br />

Oudumxay<br />

2.1 2.55<br />

20.4 1.54<br />

Luang Prabang 28.3 1.84<br />

13.7 2.17<br />

Sayabouly 4.5 1.96<br />

33.0 1.61<br />

Xieng Khouang 0 0<br />

21.6 1.37<br />

Central region<br />

Vientiane Mun. Nasaythong 31.0 1.29 74.1 1.70<br />

Saythany 14.4 2.66 70.5 1.93<br />

Vientiane Prov.<br />

19.8 2.63 25.0 3.00<br />

Borikhamxay<br />

4.8 3.20 22.5 2.77<br />

Savannakhet Xaybouly 37.9 1.73 71.6 1.89<br />

Champone 8.5 0.96 26.7 1.49<br />

Southern region<br />

Saravane 8.6 2.18 31.4 2.21<br />

Champassak Champassak 7.6 1.48 26.3 1.93<br />

Pakse 17.0 1.87 5.7 1.44<br />

Sanasonboun 7.6 1.48 50.2 1.63<br />

Total 197.0 480.7<br />

Mean 2.05 2.11<br />

Variance 0.855833 1.05666<br />

Yield comparisons <strong>of</strong> respondents who applied<br />

and did not apply <strong>in</strong>secticides<br />

When average yields per hectare <strong>of</strong> respondents who applied and did not apply pesticides<br />

were compared, the majority <strong>of</strong> those who did not apply pesticides reported<br />

higher yields, although the differences were not significant (Table 8).<br />

Knowledge on diseases<br />

The respondents did not consider diseases to be a major constra<strong>in</strong>t to <strong>rice</strong> production,<br />

although some <strong>farmers</strong> reported observ<strong>in</strong>g blast, sheath blight, and false smut <strong>in</strong> their<br />

fields.<br />

Discussion<br />

Rice production <strong>in</strong> Lao PDR has largely not been commercialized and is focused on<br />

meet<strong>in</strong>g home consumption needs. The level <strong>of</strong> adoption <strong>of</strong> improved production<br />

technology is low, which reflects a comb<strong>in</strong>ation <strong>of</strong> factors, <strong>in</strong>clud<strong>in</strong>g a lack <strong>of</strong> reliable<br />

technical advice appropriate to conditions <strong>in</strong> the country. New, improved higher yield<strong>in</strong>g<br />

varieties are becom<strong>in</strong>g available, and area-specific soil nutrient <strong>management</strong> practices<br />

are be<strong>in</strong>g formulated. The national extension service is poorly developed and the<br />

112 Rapusas et al


staff <strong>of</strong>ten lack the necessary technical expertise to adequately advise <strong>farmers</strong>. In<br />

addition, even with access to technical advice and appropriate <strong>in</strong>puts, smallholders’<br />

limited purchas<strong>in</strong>g power can prevent them from adopt<strong>in</strong>g improved production practices.<br />

But some changes are apparent with the development <strong>of</strong> a national research<br />

program with support from <strong>IRRI</strong> and the Swiss Agency for Development and Cooperation.<br />

For pest <strong>management</strong>, the survey showed that <strong>farmers</strong> are aware <strong>of</strong> the presence<br />

<strong>of</strong> pests <strong>in</strong> their fields. More awareness and higher levels <strong>of</strong> technology adoption,<br />

such as application <strong>of</strong> fertilizer and <strong>in</strong>secticide, had been noted near the ma<strong>in</strong> population<br />

centers such as Vientiane. This reflects the concentration <strong>of</strong> extension and projecttype<br />

assistance <strong>in</strong> these areas more than <strong>in</strong> others.<br />

The majority <strong>of</strong> those who did not apply pesticides obta<strong>in</strong>ed higher yields, although<br />

the differences were not significant. The <strong>in</strong>significant differences seem to<br />

<strong>in</strong>dicate that apply<strong>in</strong>g pesticides for <strong>rice</strong> is not necessary. Two possible reasons for<br />

the low use <strong>of</strong> pesticides are the lack <strong>of</strong> resources to buy the chemicals and the absence<br />

<strong>of</strong> crop losses from pests, except isolated reports <strong>of</strong> severe crab and gall midge<br />

damage. If <strong>farmers</strong> had more access to resources, pesticide use could <strong>in</strong>crease. If this<br />

happened, the exist<strong>in</strong>g natural ecological balance <strong>in</strong> the <strong>rice</strong> environment might be<br />

affected markedly, which could lead to pest outbreaks. At this stage, we need to improve<br />

<strong>farmers</strong>’ pest <strong>management</strong> decision mak<strong>in</strong>g. Furthermore, the <strong>Pest</strong>icides Act to<br />

control the import, manufacture, and repack<strong>in</strong>g <strong>of</strong> pesticides, as well as their sale <strong>in</strong><br />

the country, must be enforced and implemented. Otherwise, pesticides that have been<br />

restricted or banned <strong>in</strong> other countries will cont<strong>in</strong>ue to f<strong>in</strong>d their way <strong>in</strong>to local markets.<br />

Most respondents were aware <strong>of</strong> the presence <strong>of</strong> other pests that do not feed on<br />

<strong>rice</strong> <strong>in</strong> their fields such as spiders, dragonflies, crickets, and beetles, but were not<br />

aware <strong>of</strong> the roles <strong>of</strong> these arthropods <strong>in</strong> the field. Educat<strong>in</strong>g <strong>farmers</strong> on the concept<br />

<strong>of</strong> natural enemies <strong>in</strong> their fields should be a part <strong>of</strong> any tra<strong>in</strong><strong>in</strong>g program on pest<br />

<strong>management</strong>. Extension personnel should likewise be well versed <strong>in</strong> the concepts <strong>of</strong><br />

pest <strong>management</strong> to be able to provide <strong>farmers</strong> with the appropriate <strong>in</strong>formation and<br />

technology. Do<strong>in</strong>g so could lead to improvements <strong>in</strong> <strong>farmers</strong>’ well-be<strong>in</strong>g and <strong>in</strong> the<br />

status <strong>of</strong> the farm<strong>in</strong>g community <strong>in</strong> the country.<br />

References<br />

Khotsimuang S, Schiller JM, Moody K. 1995. Weeds as a production constra<strong>in</strong>t <strong>in</strong> the ra<strong>in</strong>fed<br />

lowland environment <strong>of</strong> the Lao PDR. In: Proceed<strong>in</strong>gs <strong>of</strong> the 15th <strong>Asia</strong>n-Pacific Weed<br />

Science Society Conference, 24-28 July 1995, Tsukuba, Japan, p 444-454.<br />

Lao PDR. 1996. Basic statistics about the socio-economic development <strong>in</strong> the Lao PDR. State<br />

Statistical Center, M<strong>in</strong>istry <strong>of</strong> Economic Plann<strong>in</strong>g and F<strong>in</strong>ance, Vientiane, Lao PDR.<br />

Lao-<strong>IRRI</strong> Project Report. 1996. Vientiane, Laos.<br />

Lathvilayvong P, Schiller JM, Phommasack T, Kupkanchanakul T. 1995. Nutrient <strong>management</strong><br />

<strong>in</strong> the ra<strong>in</strong>fed lowland <strong>rice</strong> environment <strong>of</strong> Laos. In: Proceed<strong>in</strong>gs <strong>of</strong> the <strong>International</strong><br />

Rice Research Conference, 13-17 February 1995, Manila, Philipp<strong>in</strong>es, p 267-278.<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Lao PDR 113


Lim GS, Heong KL. 1984. The role <strong>of</strong> <strong>in</strong>secticides <strong>in</strong> <strong>rice</strong> <strong>in</strong>tegrated pest <strong>management</strong>. In:<br />

Judicious and efficient use <strong>of</strong> <strong>in</strong>secticides on <strong>rice</strong>. Manila (Philipp<strong>in</strong>es): <strong>International</strong> Rice<br />

Research Institute. p 19-39.<br />

Mumford JD, Norton GA. 1984. Economics <strong>of</strong> decision mak<strong>in</strong>g <strong>in</strong> pest <strong>management</strong>. Annu.<br />

Rev. Entomol. 29: 157- 174.<br />

Norton GA, Heong KL. 1988. An approach to improv<strong>in</strong>g pest <strong>management</strong> <strong>in</strong> <strong>rice</strong> <strong>in</strong> Malaysia.<br />

Crop Prot. 7:84-90.<br />

UNDP (United Nations Development Programme). 1994. Development cooperation: Lao<br />

People’s Democratic Republic. 1993 report.<br />

Notes<br />

Author’s addresses: H.R. Rapusas, Entomology and Plant Pathology Division, <strong>International</strong><br />

Rice Research Institute, Los Baños, Laguna, Philipp<strong>in</strong>es: J.M. Schiller, Lao-<strong>IRRI</strong> Project,<br />

Vientiane, Lao PDR; V. Sengsoulivong, National Agricultural Research Center, Naphok,<br />

Vientiane, Lao PDR.<br />

Citation: Heong KL, Escalada MM, editors. 1997. <strong>Pest</strong> <strong>management</strong> <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong>.<br />

Manila (Philipp<strong>in</strong>es): <strong>International</strong> Rice Research Institute.<br />

114 Rapusas et al


CHAPTER 8<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong><br />

<strong>farmers</strong> <strong>in</strong> the Muda and Kemubu<br />

irrigation schemes <strong>in</strong> pen<strong>in</strong>sular<br />

Malaysia<br />

R. Normiyah and P.M. Chang<br />

A dramatic change has occurred <strong>in</strong> <strong>rice</strong> cultivation <strong>in</strong> pen<strong>in</strong>sular<br />

Malaysia; direct seed<strong>in</strong>g has now become the dom<strong>in</strong>ant crop establishment<br />

method, replac<strong>in</strong>g traditional plant<strong>in</strong>g. Surveys were made<br />

on <strong>farmers</strong>’ pest <strong>management</strong> practices <strong>in</strong> the Muda and Kemubu<br />

irrigation schemes <strong>in</strong> 1991 and 1994, respectively. Structured personal<br />

<strong>in</strong>terviews were used to obta<strong>in</strong> sociodemographic data together<br />

with varietal use, seed rate, knowledge <strong>of</strong> pests and natural enemies,<br />

pest <strong>management</strong> practices, <strong>in</strong>clud<strong>in</strong>g patterns <strong>of</strong> pesticide use, and<br />

related safety measures. A comparison <strong>of</strong> the two survey areas<br />

showed that although most <strong>farmers</strong> were able to recognize the major<br />

<strong>in</strong>sect pests, especially those found <strong>in</strong> their areas, and the major<br />

grassy weeds, they could not identify diseases other than tungro.<br />

They were aware <strong>of</strong> natural enemies but were uncerta<strong>in</strong> about their<br />

role. Most practiced early season <strong>in</strong>secticide application aga<strong>in</strong>st leaf<br />

feeders and chemical control appears to be their ma<strong>in</strong> <strong>management</strong><br />

tactic. They were not particularly concerned with associated health<br />

hazards. Although they were aware <strong>of</strong> the role <strong>of</strong> clean and quality<br />

seeds, many <strong>farmers</strong> could not obta<strong>in</strong> them because <strong>of</strong> limited supply.<br />

Based on the studies, some proposals are made to improve<br />

<strong>farmers</strong>’ pest <strong>management</strong> practices <strong>in</strong> both areas.<br />

Introduction<br />

The scenario <strong>of</strong> <strong>rice</strong> cultivation <strong>in</strong> Malaysia has changed dramatically over the past 25<br />

years (1970-94) s<strong>in</strong>ce <strong>rice</strong> double cropp<strong>in</strong>g began. The rapid adoption <strong>of</strong> nitrogenresponsive<br />

modern <strong>rice</strong> varieties and the provision <strong>of</strong> irrigation facilities have led to<br />

modifications <strong>in</strong> the microclimate <strong>in</strong> <strong>rice</strong>fields, result<strong>in</strong>g <strong>in</strong> changes <strong>in</strong> species dom<strong>in</strong>ance<br />

<strong>of</strong> <strong>rice</strong> pests. The widespread transformation from manual transplant<strong>in</strong>g to direct<br />

seed<strong>in</strong>g because <strong>of</strong> labor shortages (Ho and Md. Zuki 1988) has aggravated the<br />

competitive <strong>in</strong>teractions <strong>of</strong> flora and fauna <strong>in</strong> <strong>rice</strong>fields. The adoption <strong>of</strong> direct seed<strong>in</strong>g<br />

ga<strong>in</strong>ed momentum <strong>in</strong> the <strong>rice</strong> agroecosystem <strong>in</strong> the 1980s and it is now the pre-<br />

115


dom<strong>in</strong>ant form <strong>of</strong> <strong>rice</strong> crop culture <strong>in</strong> Malaysia. The closed canopy and <strong>in</strong>creased<br />

plant density predispose the <strong>rice</strong> crop to higher risks <strong>of</strong> <strong>in</strong>sect and disease pathogens<br />

(Ch<strong>in</strong> 1985). In addition, with direct seed<strong>in</strong>g, grassy weeds and <strong>rice</strong> seeds germ<strong>in</strong>ate<br />

simultaneously, thus allow<strong>in</strong>g grassy weeds to flourish and compete with <strong>rice</strong>.<br />

Several programs have been implemented to improve pest <strong>management</strong> <strong>in</strong> <strong>rice</strong><br />

cultivation, and many research projects have been conducted under the banner <strong>of</strong><br />

<strong>in</strong>tegrated pest <strong>management</strong> (IPM), where<strong>in</strong> different control tactics were deployed.<br />

In many cases, <strong>farmers</strong> did not cont<strong>in</strong>ue these IPM practices after the projects ended<br />

because they perceived them to be f<strong>in</strong>ancially nonbeneficial or too tedious. This could<br />

be because no significant yield <strong>in</strong>crease was observed after practic<strong>in</strong>g IPM, although<br />

chemical use may be reduced. Moreover, the need to go to <strong>rice</strong>fields for frequent<br />

surveillance under IPM was a burden, especially to old <strong>farmers</strong>.<br />

Most pest <strong>management</strong> research focuses on understand<strong>in</strong>g biological and ecological<br />

processes that occur <strong>in</strong> the agroecosystem, with less attention to socioeconomic<br />

and implementation aspects (Heong et al 1995b). The problem <strong>of</strong> implementation<br />

should be viewed as an <strong>in</strong>tegral part <strong>of</strong> research and development aimed at design<strong>in</strong>g<br />

appropriate pest <strong>management</strong> practices. Researchers need to understand why<br />

<strong>farmers</strong> carry out certa<strong>in</strong> <strong>management</strong> practices.<br />

In Malaysia, research on socioeconomic constra<strong>in</strong>ts to pest <strong>management</strong> adoption<br />

is still lack<strong>in</strong>g, although there is <strong>in</strong>creas<strong>in</strong>g realization <strong>of</strong> such a need (Heong<br />

1984, Heong et al 1985, 1987, Normiyah et al 1995). Although biological and ecological<br />

studies <strong>of</strong> pests are essential to understand and improve pest <strong>management</strong><br />

strategies, there is a need to consider related socioeconomic aspects. Heong et al<br />

(1994) noted that obta<strong>in</strong><strong>in</strong>g such background <strong>in</strong>formation to identify the key features<br />

<strong>of</strong> real pest <strong>management</strong> problems may be the most important factor <strong>in</strong> determ<strong>in</strong><strong>in</strong>g<br />

research and extension priorities.<br />

The status <strong>of</strong> pest <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> was studied <strong>in</strong> the Muda<br />

irrigation scheme <strong>in</strong> 1991 (Normiyah et al 1995) and <strong>in</strong> the Kemubu irrigation scheme<br />

<strong>in</strong> 1994. This paper exam<strong>in</strong>es and compares the changes <strong>in</strong> pest <strong>management</strong> practices<br />

<strong>of</strong> <strong>rice</strong> <strong>farmers</strong> for these two areas. Agronomic practices, knowledge on pest<br />

<strong>management</strong>, pesticide use, and safety measures are discussed.<br />

Survey sites<br />

The Muda irrigation scheme is located on the coastal alluvial pla<strong>in</strong> <strong>in</strong> the northwest<br />

corner <strong>of</strong> pen<strong>in</strong>sular Malaysia (Fig. 1). Straddl<strong>in</strong>g the two northern states <strong>of</strong> Kedah<br />

and Perlis, the area has traditionally been a net exporter <strong>of</strong> <strong>rice</strong> with<strong>in</strong> the country and<br />

is popularly known as the Rice Bowl <strong>of</strong> Malaysia. It is the largest <strong>of</strong> eight designated<br />

<strong>rice</strong> granary areas <strong>in</strong> pen<strong>in</strong>sular Malaysia and accounts for about 45% <strong>of</strong> the nation’s<br />

<strong>rice</strong> production. The scheme covers about 96,000 ha <strong>of</strong> <strong>rice</strong>land and is operated by<br />

63,000 farm families. About 47% <strong>of</strong> these are owner-operators, 25% are tenants, 17%<br />

are owner-tenants, and 9% are others, each manag<strong>in</strong>g a farm <strong>of</strong> about 2 ha (MARDI<br />

1984). The widespread transformation <strong>of</strong> the <strong>rice</strong> cultivation technique from manual<br />

transplant<strong>in</strong>g to direct seed<strong>in</strong>g <strong>in</strong> the 1980s has resulted <strong>in</strong> extensive changes <strong>in</strong> the<br />

116 Normiyah and Chang


Fig. 1. Rice granary areas <strong>in</strong> pen<strong>in</strong>sular Malaysia and locations <strong>of</strong> the<br />

study: (A) Muda irrigation scheme, (B) Kemubu irrigation scheme.<br />

traditional <strong>rice</strong> habitat. The most conspicuous change is the shift <strong>of</strong> weed dom<strong>in</strong>ance<br />

from less competitive broadleaf weeds and sedges to more competitive grasses (Ho et<br />

al 1990a, b, Azmi and Baki 1995). Nik Mohd. Noor and Hirao (1987) reported that<br />

<strong>rice</strong>hoppers were the most important <strong>in</strong>sect pests <strong>in</strong> the Muda area and the <strong>in</strong>cidence<br />

<strong>of</strong> <strong>in</strong>sect pests was higher <strong>in</strong> direct-seeded fields than <strong>in</strong> transplanted fields.<br />

The Kemubu irrigation scheme is located on the northeastern pla<strong>in</strong> <strong>of</strong> the state <strong>of</strong><br />

Kelantan (Fig. 1). It is the second largest <strong>of</strong> the eight <strong>rice</strong> granary areas. The scheme<br />

covers about 31,450 ha <strong>of</strong> <strong>rice</strong>fields and is operated by 45,000 farm families. About<br />

47.5% <strong>of</strong> these are owner-operators, 11% are tenants, 25.5% are owner-tenants, and<br />

19% are others. The average farm size is less than 1 ha. The widespread change <strong>in</strong> <strong>rice</strong><br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> pen<strong>in</strong>sular Malaysia 117


cultivation technique from transplant<strong>in</strong>g to direct seed<strong>in</strong>g dur<strong>in</strong>g the 1990s, which<br />

occurred later than <strong>in</strong> Muda, has also created a significant impact on the pest spectrum<br />

<strong>in</strong> the Kemubu area, particularly <strong>in</strong> the weed dom<strong>in</strong>ance from broadleaf weeds<br />

and sedges to grasses (Azmi and Mashhor 1995). There is no obvious change <strong>in</strong> the<br />

composition <strong>of</strong> <strong>in</strong>sect pests; rodents rema<strong>in</strong> a serious threat to <strong>rice</strong> production.<br />

Of these two areas, Muda adopted direct-seed<strong>in</strong>g culture rapidly (from the early<br />

1980s) compared with Kemubu, where direct seed<strong>in</strong>g only started to ga<strong>in</strong> ground<br />

from 1990 onward. To date, more than 95% <strong>of</strong> the Muda area is under direct seed<strong>in</strong>g,<br />

versus 50% <strong>of</strong> the Kemubu area. Chemical use, especially herbicides, by Muda <strong>farmers</strong><br />

is more prevalent than with Kemubu <strong>farmers</strong>. The type <strong>of</strong> chemicals used was also<br />

found to be different. This gives us a good opportunity to study the similarities and<br />

differences between the two areas <strong>in</strong> their <strong>rice</strong> pest <strong>management</strong> practices, other than<br />

chemical use, and perhaps make suitable recommendations.<br />

Methods<br />

To obta<strong>in</strong> data on <strong>rice</strong> <strong>farmers</strong>’ pest <strong>management</strong> practices, structured personal <strong>in</strong>terviews<br />

were used with a questionnaire designed for the purpose. The questions were<br />

pretested on <strong>rice</strong> <strong>farmers</strong> from the two areas and subsequently modified to avoid ambiguities.<br />

The survey was conducted <strong>in</strong> March 1991 <strong>in</strong> the Muda area, where a sample <strong>of</strong><br />

250 <strong>rice</strong> <strong>farmers</strong> was selected randomly for the study. Similarly, 200 <strong>rice</strong> <strong>farmers</strong><br />

from Kemubu were <strong>in</strong>terviewed <strong>in</strong> May 1994. The <strong>farmers</strong> were <strong>in</strong>terviewed by a<br />

team <strong>of</strong> tra<strong>in</strong>ed enumerators from the Department <strong>of</strong> Agriculture (DOA) and the Malaysian<br />

Agricultural Research and Development Institute (MARDI).<br />

The data obta<strong>in</strong>ed were analyzed and frequency tables were generated based on<br />

the number <strong>of</strong> <strong>farmers</strong> who responded rather than the total sample. In cases where<br />

multiple responses were obta<strong>in</strong>ed, the sample size was used. The general l<strong>in</strong>ear models<br />

procedure <strong>of</strong> SAS (SAS 1985) was used for the analyses <strong>of</strong> variance and the F test<br />

was used to determ<strong>in</strong>e association between variables.<br />

Survey results<br />

Sociodemographic pr<strong>of</strong>ile<br />

Respondents from the Muda area were ma<strong>in</strong>ly Malays (98%), Ch<strong>in</strong>ese (1.3%), and<br />

Siamese (0.8%), whereas the Kemubu <strong>farmers</strong> were all Malays (Normiyah et al 1995).<br />

About 52% <strong>of</strong> the Muda <strong>farmers</strong> and 76% <strong>of</strong> the Kemubu <strong>farmers</strong> were more than 50<br />

yr old. Of the respondents from both areas, 78% <strong>in</strong> Muda and 96% <strong>in</strong> Kemubu were<br />

more than 40 yr old.<br />

The formal educational background <strong>of</strong> the <strong>farmers</strong> varied <strong>in</strong> the two schemes. In<br />

Muda, more than two-thirds <strong>of</strong> the <strong>farmers</strong> had a primary education (1–6 yr <strong>of</strong> school<strong>in</strong>g),<br />

16% completed secondary school (7–11 yr <strong>of</strong> school<strong>in</strong>g), 8% attended religious<br />

school, and 12% had not attended school at all (Normiyah et al 1995). In the Kemubu<br />

118 Normiyah and Chang


area, 66% <strong>of</strong> the respondents had only a primary education and 34% had no formal<br />

education.<br />

Agronomic practices<br />

MR 84 was the most popular <strong>rice</strong> variety planted by <strong>farmers</strong> <strong>in</strong> the two areas. In<br />

Muda. another variety, IR42, was also widely planted. but not <strong>in</strong> Kemubu. Instead,<br />

other MR varieties (those recommended by MARDI) such as MR 106, MR 103, and<br />

MR 127 were preferred. MR series cultivars were also planted by <strong>farmers</strong> <strong>in</strong> Muda.<br />

Evidently, <strong>rice</strong> <strong>farmers</strong> at both locations planted more than one cultivar.<br />

Healthy, clean, and weed-free seeds are important, especially <strong>in</strong> direct-seed<strong>in</strong>g<br />

cultivation. Farmers obta<strong>in</strong>ed <strong>rice</strong> seeds from several sources. Some 48% <strong>of</strong> the respondents<br />

from Muda and 59% from Kemubu bought seeds from the seed production<br />

center <strong>of</strong> the DOA, which is the sole supplier <strong>of</strong> healthy clean seeds at both sites.<br />

About one-third <strong>of</strong> the <strong>farmers</strong> used seeds from their own stock (seeds harvested from<br />

the previous season), whereas the rest <strong>of</strong> the <strong>farmers</strong> obta<strong>in</strong>ed or exchanged seeds<br />

with friends and neighbors.<br />

The recommended seed<strong>in</strong>g rate for direct seed<strong>in</strong>g is 60 kg ha -1 (MARDI 1984).<br />

The survey revealed that 96% <strong>of</strong> the Muda <strong>farmers</strong> who practiced direct seed<strong>in</strong>g used<br />

more seeds than the recommended rate as they believed that the higher seed rate<br />

<strong>in</strong>creased crop yield and helped suppress weeds. This compares with the situation <strong>in</strong><br />

Kemubu, where two-thirds <strong>of</strong> the respondents used the recommended rate and only<br />

19% used higher rates.<br />

Knowledge <strong>of</strong> pests and natural enemies<br />

The majority <strong>of</strong> <strong>farmers</strong> from these areas could recognize <strong>rice</strong> pests (Table 1). More<br />

than 60% <strong>of</strong> the <strong>farmers</strong> <strong>in</strong> both areas recognized <strong>rice</strong> pests such as <strong>rice</strong> bug (Leptocorisa<br />

spp.), Malayan black bugs (Scot<strong>in</strong>ophara), leaf feeders, and stem borers. Muda <strong>farmers</strong><br />

could recognize brown planthoppers (BPH), whereas <strong>farmers</strong> <strong>in</strong> Kemubu did not<br />

even mention this pest. Few <strong>farmers</strong> knew about whitebacked planthopper (WBPH)<br />

and green leafhopper (GLH). The majority <strong>of</strong> the Muda <strong>farmers</strong> knew about the symptoms<br />

<strong>of</strong> tungro attack but they seemed less knowledgeable about other <strong>rice</strong> diseases.<br />

Similarly, the Kemubu <strong>farmers</strong> did not mention much about <strong>rice</strong> diseases. But most<br />

respondents were able to recognize the prevail<strong>in</strong>g weeds such as Ech<strong>in</strong>ochloa crusgalli,<br />

Marsilea crenata, Leptochloa ch<strong>in</strong>ensis, sedges, Sphenoclea zeylanica, and<br />

Ischaemum rugosum.<br />

Respondents were also asked to rank pests accord<strong>in</strong>g to their perception <strong>of</strong> pest<br />

destructiveness to the <strong>rice</strong> crop. From the responses, it was apparent that rodents,<br />

<strong>in</strong>sects, and weeds were considered to be the three most destructive pests. Rodents<br />

were mentioned as the most destructive pest, the one that caused the highest crop loss,<br />

followed by <strong>in</strong>sects (particularly BPH attack <strong>in</strong> Muda), weeds (ma<strong>in</strong>ly Ech<strong>in</strong>ochloa<br />

spp.), and diseases. Rodents were reported as the ma<strong>in</strong> pest by 41% <strong>of</strong> the Muda<br />

<strong>farmers</strong>, whereas leaf feeders were mentioned as the ma<strong>in</strong> pest by 58% <strong>of</strong> the Kemubu<br />

<strong>farmers</strong>. Farmers from both regions reported weeds, particularly E. crus-galli.<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> pen<strong>in</strong>sular Malaysia 119


Table 1. Farmers’ pest and natural enemies identification skills.<br />

Rice pests<br />

Respondents a (%)<br />

Muda<br />

Kemubu<br />

Insect pests<br />

Brown planthopper 74.1 11.5<br />

Whitebacked planthopper 37.1 0.9<br />

Green leafhopper 41.8 2.7<br />

Malayan black bug 66.7 90.3<br />

Leaf feeder 67.7 97.3<br />

Stem borer 68.5 77.0<br />

Rice bug 72.9 96.5<br />

Diseases<br />

Tungro<br />

Blast<br />

Bacterial disease<br />

75.7 27.4<br />

23.9 1.8<br />

14.3 -<br />

Rice weeds<br />

Ech<strong>in</strong>ochloa crus-galli 90.0 90.7<br />

Leptochloa ch<strong>in</strong>ensis 65.7 30.1<br />

Ischaemum rugosum 36.7 36.3<br />

Sphenoclea zeylanica 47.8 54.0<br />

Marsilea crenata 73.3 65.5<br />

Sedges 59.8 77.0<br />

Natural enemies<br />

58.0 38.0<br />

a Multiple responses.<br />

About 58% <strong>of</strong> the respondents from Muda were aware <strong>of</strong> the prevail<strong>in</strong>g natural<br />

enemies <strong>in</strong> <strong>rice</strong>, whereas 38% <strong>of</strong> those from Kemubu knew about them (Table 1). The<br />

natural enemy species known <strong>in</strong>cluded spiders, frogs, dragonflies, and barn owls;<br />

some mentioned beetles.<br />

<strong>Pest</strong> <strong>management</strong> practices<br />

On average, more than 90% <strong>of</strong> the <strong>farmers</strong> from both areas reported us<strong>in</strong>g chemicals<br />

every season to control <strong>rice</strong> pests. Virtually all the <strong>rice</strong> <strong>farmers</strong> (90%) who practiced<br />

direct seed<strong>in</strong>g <strong>in</strong> Muda adopted chemical weed control, a practice be<strong>in</strong>g picked up by<br />

Kemubu <strong>farmers</strong> (50%) because <strong>of</strong> their more recent adoption <strong>of</strong> direct seed<strong>in</strong>g and<br />

subsequent grassy-weed problems.<br />

Most <strong>rice</strong> <strong>farmers</strong> tend to apply their first <strong>in</strong>secticide spray dur<strong>in</strong>g the first 40 d<br />

after crop establishment. Many respondents (47% from Muda and 52% from Kemubu)<br />

reported their first <strong>in</strong>secticide application <strong>in</strong> the first 30 d after sow<strong>in</strong>g. Their ma<strong>in</strong><br />

target was leaf feeders.<br />

Farmers sampled from the two areas were divided <strong>in</strong>to two groups based on early<br />

and late spray<strong>in</strong>g <strong>of</strong> <strong>in</strong>secticides. To determ<strong>in</strong>e the effect <strong>of</strong> early and late spray<strong>in</strong>g on<br />

yield, an analysis <strong>of</strong> variance was computed. For each group, mean yield and standard<br />

deviation (SD) were obta<strong>in</strong>ed and the F test was used to test for significance.<br />

120 Normiyah and Chang


For Muda <strong>farmers</strong>, a mean yield <strong>of</strong> 5,070 kg ha -1 and SD <strong>of</strong> 716 for early sprayers<br />

and a mean yield <strong>of</strong> 5,280 kg ha -l and SD <strong>of</strong> 313 for late sprayers were obta<strong>in</strong>ed.<br />

These results show no significant difference <strong>in</strong> the yields <strong>of</strong> <strong>farmers</strong> who spray early<br />

and late (F = 1.91, P = 0.17). The yield variation for those who spray early was greater<br />

compared with those who spray late.<br />

For <strong>farmers</strong> who spray early <strong>in</strong> Kemubu, mean yield was 3,458 kg ha -1 with SD<br />

<strong>of</strong> 878, whereas a mean yield <strong>of</strong> 3,304 kg ha -1 and SD <strong>of</strong> 857 were found for <strong>farmers</strong><br />

who spray late. Similarly, the results show no significant difference <strong>in</strong> the yields <strong>of</strong><br />

<strong>farmers</strong> who spray early and late <strong>in</strong> Kemubu (F = 0.77, P = 0.38). The yield variation<br />

for the two groups was about the same. This means that <strong>farmers</strong> who sprayed <strong>in</strong>secticide<br />

early did not necessarily obta<strong>in</strong> higher yields than those who sprayed late (after<br />

the first 30–40 d after sow<strong>in</strong>g).<br />

<strong>Pest</strong>icide use<br />

Table 2 shows trends <strong>in</strong> pesticide use by respondents from the two sites. Muda <strong>farmers</strong><br />

commonly used bupr<strong>of</strong>ez<strong>in</strong>, an <strong>in</strong>sect growth regulator, effective aga<strong>in</strong>st hoppers<br />

and safe for natural enemies and fish (Nik Mohd. Noor et al 1989). Other <strong>in</strong>secticides<br />

used were MIPC, BPMC, bupr<strong>of</strong>ez<strong>in</strong> + MIPC, and MTMC + fenthoate to combat<br />

hoppers. Respondents also reported us<strong>in</strong>g BPMC to control Scot<strong>in</strong>ophara other <strong>rice</strong><br />

bugs, and leaf feeders. Few <strong>farmers</strong> mentioned fenthion, which is also effective <strong>in</strong><br />

controll<strong>in</strong>g <strong>rice</strong> bugs. Some <strong>farmers</strong> used carb<strong>of</strong>uran to control stem borers.<br />

Kemubu <strong>farmers</strong> used <strong>in</strong>secticides such as endosulfan, alphacypermethr<strong>in</strong>, BPMC,<br />

carb<strong>of</strong>uran, fenthion, and methamidophos. A variety <strong>of</strong> <strong>in</strong>secticides were used to control<br />

leaf feeders. Endosulfan and alphacypermethr<strong>in</strong> appeared to be widely used. Farm-<br />

Table 2. Types <strong>of</strong> pesticides used to control major pests.<br />

Commonly used chemicals<br />

Major pests<br />

Muda<br />

Kemubu<br />

Ech<strong>in</strong>ochloa spp.<br />

Mol<strong>in</strong>ate + 2,4-D butyl ester<br />

Fenoxaprop-ethyl<br />

Propanil-based herbicides<br />

Qu<strong>in</strong>clorac<br />

Pretilachlor + safener<br />

Bensulfuron<br />

Hoppers<br />

BPMC, bupr<strong>of</strong>ez<strong>in</strong> Endosulfan<br />

(BPH, WBPH, GLH) a Bupr<strong>of</strong>ez<strong>in</strong> + MIPC<br />

MTMC + fenthoate<br />

Rice bugs BPMC Endosulfan<br />

Alphacypermethrln<br />

BPMC<br />

Methamidophos<br />

Stem borer<br />

Carb<strong>of</strong>uran<br />

Endosulfan<br />

Carb<strong>of</strong>uran<br />

Leaf feeders BPMC Endosulfan<br />

Alphacypermethrln<br />

Rodents Z<strong>in</strong>c phosphide Z<strong>in</strong>c phosphide<br />

Chronic rodenticides<br />

Chronic rodenticides<br />

a BPH = brown planthopper, WBPH = whitebacked planthopper, GLH = green leafhopper,<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> pen<strong>in</strong>sular Malaysia 121


ers <strong>in</strong> both areas did not mention the use <strong>of</strong> chemicals to control diseases. In fact, it<br />

was found that some <strong>farmers</strong> used <strong>in</strong>secticides to treat <strong>rice</strong> diseases.<br />

More than 90% <strong>of</strong> the Muda <strong>farmers</strong> and about 50% <strong>of</strong> the Kemubu <strong>farmers</strong> used<br />

herbicides to control weeds. Phenoxy herbicides such as 2.1-D butyl ester and 2,4-D<br />

am<strong>in</strong>e were ma<strong>in</strong>ly used to control broadleaf weeds and sedges. Muda <strong>farmers</strong> used<br />

mol<strong>in</strong>ate and propanil-based herbicides to control barnyard grass (Ech<strong>in</strong>ochloa spp.),<br />

whereas Kemubu <strong>farmers</strong> used qu<strong>in</strong>clorac, fenoxaprop-ethyl, and bensulfuron.<br />

Most <strong>farmers</strong> used acute rodenticides (z<strong>in</strong>c phosphide) to control rodents and<br />

only a few <strong>farmers</strong> reported us<strong>in</strong>g chronic rodenticides.<br />

Safety measures<br />

About 47% <strong>of</strong> the Muda <strong>farmers</strong> and 13% <strong>of</strong> the Kemubu <strong>farmers</strong> kept pesticides <strong>in</strong><br />

safe places, whereas many admitted negligence <strong>in</strong> that they kept and placed the chemicals<br />

anywhere, such as <strong>in</strong> <strong>rice</strong> storage sheds, under the house, and even <strong>in</strong> toilets. The<br />

results also showed that most <strong>farmers</strong> did not follow adequate safety precautions dur<strong>in</strong>g<br />

spray<strong>in</strong>g (Normiyah 1995). In addition, it was found that some <strong>farmers</strong> (44%<br />

from Muda and 26% from Kemubu) burned or buried used pesticide conta<strong>in</strong>ers, contrary<br />

to recommendations. They usually discarded the used pesticide conta<strong>in</strong>ers <strong>in</strong><br />

<strong>rice</strong>fields, <strong>in</strong> irrigation canals, near streams, around the house, <strong>in</strong>to unused wells, and<br />

<strong>in</strong>to the surround<strong>in</strong>g undergrowth.<br />

Discussion<br />

The <strong>in</strong>troduction <strong>of</strong> double cropp<strong>in</strong>g has changed the <strong>rice</strong> production scenario <strong>in</strong> both<br />

the Muda and Kemubu irrigation schemes, thus contribut<strong>in</strong>g to the <strong>in</strong>crease <strong>in</strong> cropp<strong>in</strong>g<br />

<strong>in</strong>tensity. But the most dramatic change has been the widespread transformation<br />

from manual transplant<strong>in</strong>g to direct seed<strong>in</strong>g dur<strong>in</strong>g the 1980s <strong>in</strong> Muda and dur<strong>in</strong>g the<br />

1990s <strong>in</strong> Kemubu. This has made a significant impact on the pest spectrum, particularly<br />

the appearance <strong>of</strong> more competitive grasses and the higher <strong>in</strong>cidence <strong>of</strong> <strong>in</strong>sect<br />

pests and diseases <strong>in</strong> direct-seeded fields, probably because <strong>of</strong> modifications <strong>in</strong> the<br />

crop microenvironment.<br />

Associated with this is a peculiar type <strong>of</strong> <strong>rice</strong> weed <strong>in</strong> Malaysia that <strong>farmers</strong> refer<br />

to as weedy <strong>rice</strong> or padi ang<strong>in</strong>. This group <strong>of</strong> volunteer <strong>rice</strong> cultivars has different<br />

agronomic characteristics, with the common ones <strong>of</strong> easy gra<strong>in</strong> shatter<strong>in</strong>g. It is highly<br />

undesirable because it reduces yield (Abdul Wahab and Suhaimi 1991). It is now an<br />

important research priority because <strong>of</strong> its potential threat to <strong>rice</strong> production <strong>in</strong> Malaysia<br />

if it is not conta<strong>in</strong>ed <strong>in</strong> time.<br />

Varieties<br />

Although the surveys show that <strong>farmers</strong> use a number <strong>of</strong> <strong>rice</strong> varieties, <strong>farmers</strong> dist<strong>in</strong>ctly<br />

prefer one — MR 84 — which has been popular s<strong>in</strong>ce the mid-1980s <strong>in</strong> Malaysia.<br />

Although MARDI has released new varieties, <strong>farmers</strong> still prefer MR 84 and may<br />

take time to adopt the newer ones.<br />

122 Normiyah and Chang


Use <strong>of</strong> clean seeds is a basic component <strong>of</strong> weed control: this is highly important<br />

from the viewpo<strong>in</strong>t <strong>of</strong> disease control and prevention <strong>of</strong> the spread <strong>of</strong> weedy <strong>rice</strong>.<br />

Although many <strong>farmers</strong> are aware <strong>of</strong> the usefulness <strong>of</strong> clean and high-quality seeds,<br />

their availability and supply rema<strong>in</strong> a problem. There are no private seed producers <strong>in</strong><br />

Malaysia and DOA is the sole organization that provides clean and high-quality seeds.<br />

But its capacity is limited, and it normally supplies only about 30% <strong>of</strong> the total seed<br />

requirements. Therefore, many <strong>farmers</strong> keep a portion <strong>of</strong> their harvest for seeds or<br />

buy them from their neighbors.<br />

A seed<strong>in</strong>g rate <strong>of</strong> 60 kg ha -1 should be sufficient for direct seed<strong>in</strong>g (MARDI<br />

1984). At higher rates, weeds may be suppressed to a certa<strong>in</strong> extent without <strong>in</strong>creas<strong>in</strong>g<br />

<strong>rice</strong> yields (Azmi and Mashhor 1990). So when weeds are controlled, higher<br />

seed<strong>in</strong>g rates are not justified. Unfortunately, many <strong>farmers</strong>, especially <strong>in</strong> Muda, are<br />

still seed<strong>in</strong>g at more than 100 kg ha -1 . These wasteful high seed<strong>in</strong>g rates have aggravated<br />

the shortage <strong>of</strong> clean seeds and <strong>in</strong>creased <strong>in</strong>put cost. In cases where <strong>in</strong>secticide<br />

or fungicide applications are required toward the end <strong>of</strong> the vegetative stage, high<br />

seed rates result <strong>in</strong> dense canopies, which makes application difficult especially if the<br />

target pest is below the canopy.<br />

Identification <strong>of</strong> pests and natural enemies<br />

Farmers <strong>in</strong>volved <strong>in</strong> the study had showed some ability to recognize <strong>rice</strong> pests. Twothirds<br />

<strong>of</strong> the respondents recognized <strong>in</strong>sect pests such as <strong>rice</strong> bugs, black bugs, leaf<br />

feeders, and stem borers, whereas few could recognize GLH and WBPH. Muda <strong>farmers</strong><br />

could recognize BPH because <strong>of</strong> their experience with outbreaks, whereas Kemubu<br />

<strong>farmers</strong> were not familiar with the pest because <strong>of</strong> the absence <strong>of</strong> outbreaks there.<br />

Kemubu <strong>farmers</strong> did recognize leaf-feeder damage and were concerned about this<br />

pest.<br />

Diseases were not mentioned much by the farmen <strong>in</strong> the two areas, which suggests<br />

that extension efforts may not have focused on <strong>rice</strong> diseases yet, other than<br />

tungro. Diseases such as sheath blight and bacteria leaf blight are common <strong>in</strong> directseeded<br />

fields and red stripe is becom<strong>in</strong>g more important. Other bacterial diseases and<br />

gra<strong>in</strong> discoloration are also becom<strong>in</strong>g common.<br />

Most <strong>farmers</strong> could identify the most noxious weeds, such as E. crus-galli, and<br />

the other major grassy weeds. Now <strong>farmers</strong> must be more alert to the grow<strong>in</strong>g importance<br />

<strong>of</strong> weedy <strong>rice</strong>, which can cause a considerable yield loss (Abdul Wahab and<br />

Suhaimi 1991).<br />

Respondents also knew about the natural enemies <strong>of</strong> <strong>rice</strong> pests but were not very<br />

sure <strong>of</strong> their role <strong>in</strong> pest <strong>management</strong>. More tra<strong>in</strong><strong>in</strong>g courses and extension efforts<br />

will have to be directed at improv<strong>in</strong>g <strong>farmers</strong>’ pest identification skills and their understand<strong>in</strong>g<br />

<strong>of</strong> the role <strong>of</strong> natural enemies.<br />

<strong>Pest</strong>icide use<br />

Farmers were found to rely on pesticides as the major means <strong>of</strong> pest control. Herbicides,<br />

<strong>in</strong>secticides. and rodenticides were ma<strong>in</strong>ly used.<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> pen<strong>in</strong>sular Malaysia 123


In direct seed<strong>in</strong>g, manual weed<strong>in</strong>g is difficult and not practical because <strong>of</strong> the<br />

labor shortage. Chemical weed<strong>in</strong>g is the most popular method among <strong>rice</strong> growers <strong>in</strong><br />

both Muda and Kemubu as it has been found to be labor sav<strong>in</strong>g and effective. The<br />

different choice <strong>of</strong> herbicides between the two areas probably reflects the amount <strong>of</strong><br />

promotion by different chemical companies (Table 2).<br />

The data show that <strong>farmers</strong> practiced early season <strong>in</strong>secticide application. Their<br />

ma<strong>in</strong> target pests were leaf feeders. Insecticide use by <strong>farmers</strong> dur<strong>in</strong>g the early crop<br />

season seems to be based on perceived needs and perhaps fear, rather than real needs,<br />

because <strong>of</strong> the high visual impact. Early season <strong>in</strong>secticide use does not benefit <strong>rice</strong><br />

production. It can be detrimental to the ecological balance and cause secondary BPH<br />

problems (Chang 1992, Heong et al 1995a). Field <strong>in</strong>festation with as much as 67%<br />

damaged leaves was reported to cause no yield loss (Miyashita 1985, Rubia et al<br />

1995). Leaf feeders that damage <strong>rice</strong> plants <strong>in</strong> the early stages do not cause enough<br />

loss to justify spray<strong>in</strong>g. Thus, early sprays aga<strong>in</strong>st leaf feeders are not economically<br />

justifiable. In addition, spray<strong>in</strong>g <strong>of</strong> broad-spectrum <strong>in</strong>secticides such as<br />

alphacypermethr<strong>in</strong> by Kemubu <strong>farmers</strong> will reduce the natural enemy population<br />

(Chang 1992). Thus, we need to get <strong>farmers</strong> to reduce early <strong>in</strong>secticide applications.<br />

A new approach, farmer participatory research (FPR), complementary to extension<br />

activity, is a useful method for encourag<strong>in</strong>g <strong>farmers</strong> to engage <strong>in</strong> small-scale research<br />

(learn<strong>in</strong>g by do<strong>in</strong>g) together with researchers and extension agents so that they can<br />

adapt new technology and also extend it to other <strong>farmers</strong> (Escalada and Heong 1993).<br />

In Malaysia, the use <strong>of</strong> broad-spectrum <strong>in</strong>secticides is not recommended and<br />

MADA (Muda Agricultural Development Authority) has taken positive steps, follow<strong>in</strong>g<br />

MARDI’s recommendations, to encourage <strong>rice</strong> <strong>farmers</strong> to use selective <strong>in</strong>secticides<br />

such as bupr<strong>of</strong>ez<strong>in</strong> with low toxicity to mammals, fish, and natural enemies.<br />

The acceptance <strong>of</strong> bupr<strong>of</strong>ez<strong>in</strong> has been encourag<strong>in</strong>g. Its use, either alone or <strong>in</strong> comb<strong>in</strong>ation<br />

with MIPC, helps conta<strong>in</strong> BPH and prevent it from escalat<strong>in</strong>g.<br />

Kemubu <strong>farmers</strong> used a variety <strong>of</strong> <strong>in</strong>secticides aga<strong>in</strong>st leaf feeders. Endosulfan<br />

and alphacypermethr<strong>in</strong> were widely used. The choice <strong>of</strong> these two <strong>in</strong>secticides <strong>in</strong>dicated<br />

the tendency <strong>of</strong> <strong>farmers</strong> to spray <strong>in</strong>secticides that have a rapid effect on target<br />

pests. Availability <strong>of</strong> chemicals also <strong>in</strong>fluenced the choice <strong>of</strong> <strong>in</strong>secticides, as 84% <strong>of</strong><br />

the <strong>farmers</strong> stated that they purchased their <strong>in</strong>secticides from the <strong>farmers</strong>’ association,<br />

which had a large stock <strong>of</strong> these chemicals. Kemubu <strong>farmers</strong> thus appear to lack the<br />

proper knowledge on the choice <strong>of</strong> chemicals, particularly <strong>in</strong>secticides.<br />

Endosulfan is hazardous not only to <strong>farmers</strong> and applicators but also to nontarget<br />

organisms, particularly fish. Be<strong>in</strong>g an organochlor<strong>in</strong>e, it is quite persistent <strong>in</strong> the soil<br />

and groundwater.<br />

The surveys <strong>in</strong>dicated very little use <strong>of</strong> chemicals aga<strong>in</strong>st diseases, which reflects<br />

the degree <strong>of</strong> recognition <strong>of</strong> diseases by <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> both areas.<br />

Farmers from both regions also need to be discouraged from their preference for<br />

acute rodenticides. Not only are many chronic poisons available, but other technologies,<br />

such as traps and barrier systems (Lam et al 1987) and the use <strong>of</strong> barn owls,<br />

should be <strong>in</strong>tegrated <strong>in</strong>to a comprehensive rat control program.<br />

124 Normiyah and Chang


Direct seed<strong>in</strong>g need not <strong>in</strong>crease <strong>in</strong>sect pest outbreaks. More importantly. <strong>farmers</strong>’<br />

practices, especially early season <strong>in</strong>secticide applications, can upset natural control<br />

mechanisms and allow more frequent BPH population buildups. The excessive<br />

use <strong>of</strong> herbicides to clear bund vegetation dur<strong>in</strong>g land preparation can also destroy<br />

refuge areas for natural enemies <strong>of</strong> <strong>rice</strong> <strong>in</strong>sect pests (Chang 1992).<br />

Farmers were usually aware <strong>of</strong> the health hazards caused by pesticide use, but<br />

they did not treat this with concern. Many <strong>farmers</strong> did not keep chemicals <strong>in</strong> safe<br />

places and neither did they bum or bury used chemical conta<strong>in</strong>ers. Inadequate storage<br />

facilities, lack <strong>of</strong> use <strong>of</strong> protective cloth<strong>in</strong>g dur<strong>in</strong>g spray<strong>in</strong>g, unsafe handl<strong>in</strong>g, and<br />

<strong>in</strong>efficient sprayer ma<strong>in</strong>tenance all contribute to a more hazardous environment, not<br />

only to <strong>farmers</strong>, but to farm<strong>in</strong>g communities as well. This is another important aspect<br />

that has been overlooked <strong>in</strong> pest <strong>management</strong> practices, by both <strong>farmers</strong> and authorities,<br />

as po<strong>in</strong>ted out by Rola and P<strong>in</strong>gali (1993). This attitude toward safety measures<br />

<strong>in</strong> pesticide handl<strong>in</strong>g must be changed and improved, and health and medical considerations<br />

should be emphasized more <strong>in</strong> the future (Rola and P<strong>in</strong>gali 1993).<br />

Conclusions<br />

This study has showed the different levels <strong>of</strong> understand<strong>in</strong>g and practices <strong>in</strong> pest <strong>management</strong><br />

<strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Muda and Kemubu. Although this is related to differences<br />

<strong>in</strong> the time <strong>of</strong> adopt<strong>in</strong>g direct seed<strong>in</strong>g, other factors such as <strong>farmers</strong>’ education, extension<br />

systems, and social differences need to be considered.<br />

Farmers from Kemubu usually lacked knowledge on the choice <strong>of</strong> chemicals,<br />

particularly <strong>in</strong>secticides. On the contrary, <strong>farmers</strong> <strong>in</strong> Muda were more <strong>in</strong>formed and<br />

followed more sound pest <strong>management</strong> practices. Farmers were also <strong>in</strong>fluenced by<br />

their experiences with the dom<strong>in</strong>ant pest species <strong>in</strong> each locality. As such, extension<br />

programs need to be tailored to target these differences <strong>in</strong> order to be more effective.<br />

In Kemubu, greater attention should be paid to chang<strong>in</strong>g <strong>farmers</strong>’ perceptions <strong>of</strong> leaffeeder<br />

damage and to improv<strong>in</strong>g the choice <strong>of</strong> chemicals before serious ecological<br />

disruption occurs. Thus, our ma<strong>in</strong> task <strong>in</strong> <strong>rice</strong> leaf-feeder <strong>management</strong> appears to be<br />

related more to seek<strong>in</strong>g changes <strong>in</strong> current farmer practices (Heong 1992).<br />

Emphasis should also go toward recogniz<strong>in</strong>g <strong>management</strong> practices for <strong>rice</strong> diseases,<br />

especially sheath blight, s<strong>in</strong>ce this can be a severe yield constra<strong>in</strong>t <strong>in</strong> directseeded<br />

<strong>rice</strong>.<br />

We also propose that studies be made on the long-term effect <strong>of</strong> herbicide use on<br />

nontarget organisms, as this may tip the ecological balance <strong>in</strong> favor <strong>of</strong> pest species.<br />

For both regions, emphasis must cont<strong>in</strong>ue on extension to equip <strong>farmers</strong> with the<br />

necessary pest <strong>management</strong> knowledge to enable them to make on-farm decisions.<br />

This would help ensure the adoption <strong>of</strong> the IPM philosophy at the farm level, and<br />

contribute significantly to susta<strong>in</strong>ability and environmental health as well as to the<br />

well-be<strong>in</strong>g <strong>of</strong> the farm<strong>in</strong>g community.<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> pen<strong>in</strong>sular Malaysia 125


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<strong>farmers</strong> <strong>in</strong> the Muda Irrigation Scheme, Malaysia. Report No. 105. Kuala Lumpur (Malaysia):<br />

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Heong KL, Escalada MM, Lazaro AA. 1995a. Misuse <strong>of</strong> pesticides among <strong>rice</strong> <strong>farmers</strong> <strong>in</strong><br />

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health and the <strong>rice</strong> environment. Kluwer Academic Publishers. p 97-107.<br />

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Management, 7-9 Jun 1988, Penang, Malaysia.<br />

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Ho NK, Md. Zuki I, Asna Booty O. 1990b. The implementation <strong>of</strong> strategic extension campaign<br />

on <strong>in</strong>tegrated weed <strong>management</strong> <strong>in</strong> the Muda area. Proceed<strong>in</strong>gs <strong>of</strong> the 3rd <strong>International</strong><br />

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Malaysia. 20 p.<br />

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keperluan dan syor-syor untuk padi tabur terus dan tanaman padi cara cara mengubah.<br />

Serdang, Malaysia: MARDI. 21 p.<br />

Miyashita T. 1985. Estimation <strong>of</strong> economic <strong>in</strong>jury <strong>in</strong> the <strong>rice</strong> leaf roller, Cnaphalocrosis med<strong>in</strong>alis<br />

Guenee (Lepidoptera: Pyrilidae): relations between yield loss and <strong>in</strong>jury <strong>of</strong> <strong>rice</strong> leaves at<br />

head<strong>in</strong>g or <strong>in</strong> the gra<strong>in</strong> fill<strong>in</strong>g period. Jpn. Appl. Zool. 29:73-76.<br />

Nik Mohd, Noor NMS, Habibud<strong>in</strong> H, Chang PM, Ahmad Puat N, Mohamed MS. Abdul Latif<br />

AZ. 1989. Bupr<strong>of</strong>ez<strong>in</strong>, an <strong>in</strong>sect growth regulator for the control <strong>of</strong> <strong>rice</strong>hoppers. Teknologi<br />

Padi, Malaysian Agricultural Research and Development Institute 5:1-6.<br />

Nik Mohd, Noor NMS, Hirao J. 1987. Status <strong>of</strong> <strong>rice</strong> pests <strong>in</strong> direct-seeded fields <strong>in</strong> the Muda<br />

area. Teknologi Pradi, Malaysian Agricultural Research and Development Institute 3:39-<br />

44.<br />

Normiyah R, Chang PM, Azmi M, Aznan A. 1995. <strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong><br />

<strong>in</strong> the Muda Irrigation Scheme, Malaysia. Makalah Sesekala Bil. 14. Kuala Lumpur (Malaysia):<br />

Malaysian Agricultural Research Development Institute. 14 p.<br />

Rola AC, P<strong>in</strong>gali PL. 1993. <strong>Pest</strong>icides, <strong>rice</strong> productivity, and <strong>farmers</strong>’ health: an economic<br />

assessment, Los Baños (Philipp<strong>in</strong>es): <strong>International</strong> Rice Research Institute.<br />

Rubia EG, Shepard BM, Yambao EB, Ingram KT, Arida GS, Penn<strong>in</strong>g de Vries F. 1995. Stem<br />

borer damage and gra<strong>in</strong> yield <strong>of</strong> flooded <strong>rice</strong>. J. Plant Prot. Trop. 6(3):205-211.<br />

SAS (Statistical Analysis System). 1985. User’s guide to statistics. Version 5 edition. Cary<br />

(NC, USA): SAS Institute, Inc.<br />

Notes<br />

Authors’ addresses: R. Normiyah, Malaysian Agricultural Research and Development Institute<br />

(MARDI) Research Station. P.O. Box 105, 05710 Alor Setar, West Malaysia; P.M. Chang,<br />

MARDI Research Centre, P.O. Box 203. Pejabat Pos Kepala Batas, 13200 Seberang Perai,<br />

West Malaysia.<br />

Acknowledgments: The authors would like to express their appreciation to the Swiss Agency<br />

for Development and Cooperation (SDC), which supported the surveys through the IPM<br />

Network coord<strong>in</strong>ated at <strong>IRRI</strong>. Special thanks go to Dr. K.L. Heong, <strong>of</strong> <strong>IRRI</strong>’s Entomology<br />

and Plant Pathology Division, for mak<strong>in</strong>g these studies possible. The authors also<br />

wish to thank Harun Hamid, research assistant at MARDI, Alor Setar, for his assistance <strong>in</strong><br />

data process<strong>in</strong>g; and all the enumerators from MARDI and DOA, for their help <strong>in</strong> conduct<strong>in</strong>g<br />

the survey.<br />

Citation: Heong KL, Escalada MM, editors. 1997. <strong>Pest</strong> <strong>management</strong> <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong>.<br />

Manila (Philipp<strong>in</strong>es): <strong>International</strong> Rice Research Institute.<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> pen<strong>in</strong>sular Malaysia 127


CHAPTER 9<br />

Farmers’ perceptions <strong>of</strong> <strong>rice</strong> tungro<br />

disease <strong>in</strong> the Philipp<strong>in</strong>es<br />

H. Warburton, F.L. Palis, and S. Villareal<br />

We conducted a survey <strong>in</strong> the Philipp<strong>in</strong>es to <strong>in</strong>vestigate <strong>farmers</strong>’<br />

perceptions <strong>of</strong> <strong>rice</strong> tungro disease. Farmers regarded tungro as a<br />

serious problem even <strong>in</strong> areas where outbreaks are rare. Most <strong>farmers</strong><br />

could describe tungro disease symptoms but gaps existed <strong>in</strong><br />

their understand<strong>in</strong>g <strong>of</strong> the causes and modes <strong>of</strong> spread. The relationship<br />

between the virus disease and its ma<strong>in</strong> vector, green leafhopper<br />

Nephotettix virescens (Distant), was <strong>of</strong>ten not clearly understood.<br />

Many thought that tungro could be transmitted through water,<br />

air, soil, and other <strong>in</strong>sects. Farmers were unaware <strong>of</strong> the risks <strong>of</strong><br />

leav<strong>in</strong>g <strong>in</strong>fected plants, which can act as sources <strong>of</strong> disease <strong>in</strong>oculum,<br />

<strong>in</strong> the field.<br />

Farmers’ pest <strong>management</strong> strategies were based on the use<br />

<strong>of</strong> <strong>in</strong>secticides and resistant varieties. In areas where tungro was<br />

common, <strong>farmers</strong> had greater awareness <strong>of</strong> the importance <strong>of</strong> resistant<br />

varieties.<br />

Factors affect<strong>in</strong>g perceptions <strong>of</strong> tungro were analyzed, <strong>in</strong>clud<strong>in</strong>g<br />

l<strong>in</strong>ks between beliefs about human diseases and plant diseases.<br />

The risk characteristics <strong>of</strong> tungro were also exam<strong>in</strong>ed to expla<strong>in</strong> why<br />

<strong>farmers</strong> regard tungro as such an important disease.<br />

This study highlights the need for more relevant <strong>in</strong>formation for<br />

<strong>farmers</strong> that would complement their current knowledge and enable<br />

them to improve their <strong>management</strong> <strong>of</strong> this disease.<br />

Introduction<br />

Over the years, <strong>farmers</strong> have developed methods <strong>of</strong> manag<strong>in</strong>g plant diseases. Many<br />

examples exist where <strong>farmers</strong>’ agronomic practices have provided an adequate and<br />

environmentally susta<strong>in</strong>able means <strong>of</strong> combat<strong>in</strong>g diseases (Thurston 1990). Changes<br />

and <strong>in</strong>tensification with<strong>in</strong> the farm<strong>in</strong>g system, however, can br<strong>in</strong>g <strong>in</strong>creased disease<br />

pressures. In particular, plant diseases that occur sporadically but affect large areas<br />

pose difficulties for <strong>farmers</strong> because <strong>of</strong> their unpredictability and risk <strong>of</strong> major crop<br />

loss. Local knowledge and practices must evolve to cope with these problems.<br />

129


Farmers’ knowledge <strong>of</strong> their local ecosystem is <strong>of</strong>ten extensive, based on observations<br />

and experimentation <strong>in</strong> the field (Chambers et al 1989). But <strong>farmers</strong>’ perceptions<br />

<strong>of</strong> plant diseases may differ considerably from those <strong>of</strong> scientists. Farmers’ local<br />

knowledge may be substantial <strong>in</strong> some aspects, but <strong>in</strong>complete <strong>in</strong> others. Bentley<br />

(1992) noted that a farmer’s depth <strong>of</strong> knowledge about pests is related to the importance<br />

and visibility <strong>of</strong> the pest,<br />

Because disease pathogens are not easily seen, it is <strong>of</strong>ten difficult for <strong>farmers</strong> to<br />

account for the causes <strong>of</strong> diseases. Beliefs about plant diseases may also be related to<br />

beliefs about human diseases because notions <strong>of</strong> health and sickness are common to<br />

both (Fairhead 1991). Knowledge systems with<strong>in</strong> a farm<strong>in</strong>g community are dynamic;<br />

new observations and <strong>in</strong>formation from with<strong>in</strong> and outside the community are constantly<br />

be<strong>in</strong>g <strong>in</strong>corporated <strong>in</strong>to exist<strong>in</strong>g beliefs, so perceptions <strong>of</strong> plant diseases are<br />

likely to change over time.<br />

If scientists are to work with <strong>farmers</strong> <strong>in</strong> improv<strong>in</strong>g <strong>management</strong> options for plant<br />

diseases, they need to understand what <strong>farmers</strong> know. This is especially relevant for<br />

<strong>in</strong>troduc<strong>in</strong>g <strong>in</strong>tegrated pest <strong>management</strong> (IPM). IPM requires sufficient knowledge<br />

<strong>of</strong> pests and diseases for <strong>farmers</strong> to formulate appropriate <strong>management</strong> strategies that<br />

may <strong>in</strong>clude a mix <strong>of</strong> cultural, biological, and chemical methods. Acquir<strong>in</strong>g sufficient<br />

skills to implement this knowledge-<strong>in</strong>tensive system is <strong>of</strong>ten a constra<strong>in</strong>t to adopt<strong>in</strong>g<br />

IPM (Goodell 1984, Matteson 1992, Bentley and Andrews 1996).<br />

We carried out a study <strong>in</strong> the Philipp<strong>in</strong>es on <strong>farmers</strong>’ perceptions <strong>of</strong> <strong>rice</strong> tungro<br />

disease. This disease is associated ma<strong>in</strong>ly with <strong>in</strong>tensively cultivated <strong>rice</strong> areas and<br />

tends to occur <strong>in</strong> sudden, sporadic outbreaks. Such epidemics can affect large areas<br />

and result <strong>in</strong> heavy crop losses. The objectives <strong>of</strong> the study were to <strong>in</strong>vestigate and<br />

document <strong>farmers</strong>’ knowledge <strong>of</strong> the disease symptoms and causes. determ<strong>in</strong>e their<br />

<strong>management</strong> practices, and assess the factors affect<strong>in</strong>g their perceptions.<br />

Rice tungro disease <strong>in</strong> the Philipp<strong>in</strong>es<br />

Rice tungro disease occurs <strong>in</strong> South and Southeast <strong>Asia</strong> and can result <strong>in</strong> severe crop<br />

losses (Ou 1985). Tungro is a virus disease that cause’s stunt<strong>in</strong>g <strong>of</strong> the <strong>rice</strong> plant and<br />

yellow to red discoloration <strong>of</strong> the leaves. If <strong>in</strong>fected dur<strong>in</strong>g early growth stages, the<br />

<strong>rice</strong> plant will not produce panicles; at later stages, there may be panicles but with low<br />

gra<strong>in</strong> fill. Tungro is transmitted by several species <strong>of</strong> leathopper, the most important<br />

<strong>of</strong> which is the green leafhopper Nephotettix virescens (Distant).<br />

Major epidemics <strong>of</strong> tungro were recorded <strong>in</strong> the Philipp<strong>in</strong>es <strong>in</strong> the 1970s. The<br />

Department <strong>of</strong> Agriculture (DA) issued recommendations on control and organized<br />

mass spray<strong>in</strong>g campaigns aga<strong>in</strong>st the green leafhopper. S<strong>in</strong>ce then, several hotspot<br />

areas have been recorded where tungro is endemic, and sporadic outbreaks have occurred<br />

elsewhere.<br />

Recommendations for tungro control have changed over the years: <strong>in</strong> the 1970s,<br />

attention was focused ma<strong>in</strong>ly on controll<strong>in</strong>g the <strong>in</strong>sect vector with <strong>in</strong>secticides (BPI<br />

1971, DA 1979). More recent recommendations have emphasized nonchemical control<br />

methods (DA 1994) because <strong>of</strong> a concern about pest resistance and resurgence<br />

130 Warburton et al


problems caused by <strong>in</strong>secticides—as well as concerns about the health and environmental<br />

risks these chemicals pose. Researchers have also recognized that chemicals<br />

may not be very effective <strong>in</strong> controll<strong>in</strong>g tungro anyway. Current control strategies<br />

propose a three-way approach to manag<strong>in</strong>g tungro based on<br />

• us<strong>in</strong>g disease-resistant varieties;<br />

• remov<strong>in</strong>g sources <strong>of</strong> disease <strong>in</strong>oculum through rogu<strong>in</strong>g, plow<strong>in</strong>g under <strong>in</strong>fected<br />

crops, remov<strong>in</strong>g stubble, plant<strong>in</strong>g early, and schedul<strong>in</strong>g for fallow periods;<br />

and<br />

• controll<strong>in</strong>g the vector.<br />

Methods<br />

Data were gathered through a series <strong>of</strong> focus group <strong>in</strong>terviews and <strong>in</strong>dividual <strong>in</strong>terviews<br />

<strong>of</strong> <strong>farmers</strong> us<strong>in</strong>g a questionnaire. The focus group <strong>in</strong>terviews were undertaken<br />

first to ga<strong>in</strong> an understand<strong>in</strong>g <strong>of</strong> the issues surround<strong>in</strong>g tungro and to explore reasons<br />

beh<strong>in</strong>d <strong>farmers</strong>' perceptions and practices. The farmer survey was used to follow up<br />

on issues that emerged from the group discussions and to <strong>in</strong>clude <strong>farmers</strong> with different<br />

backgrounds so that the variability <strong>in</strong> perceptions and practices among <strong>in</strong>dividuals<br />

could be assessed.<br />

Interviews were conducted <strong>in</strong> different parts <strong>of</strong> the country chosen to <strong>in</strong>clude<br />

areas with differ<strong>in</strong>g <strong>in</strong>cidence <strong>of</strong> tungro and <strong>in</strong>tensity <strong>of</strong> <strong>rice</strong> production. These <strong>in</strong>cluded<br />

tungro hotspots (Polangui <strong>in</strong> Albay, Santo Tomas, Davao del Norte; Bansalan,<br />

Davao del Sur), areas with recent outbreaks (Famy, Laguna), and other irrigated and<br />

ra<strong>in</strong>fed areas where tungro occurred less frequently (Santa Arcadia <strong>in</strong> Cabanatuan<br />

City; Lupao and Muñoz, Nueva Ecija). Ten group discussions were held <strong>in</strong> six villages<br />

dur<strong>in</strong>g October and November 1994, with an average <strong>of</strong> six men and four women<br />

<strong>in</strong> a group. Farmers were contacted through the local DA extension technicians.<br />

Two hundred forty-two <strong>farmers</strong>, randomly chosen from the four locations. were<br />

<strong>in</strong>terviewed us<strong>in</strong>g the structured questionnaire between August and December 1995.<br />

Farmers were first asked about <strong>in</strong>sect pests and diseases <strong>in</strong> general—rather than<br />

only about tungro—to gauge the relative importance <strong>of</strong> this disease without undue<br />

bias toward it. Later, <strong>farmers</strong> were asked specifically about tungro. Emphasis was<br />

placed on us<strong>in</strong>g local names and descriptions rather than scientific terms, and <strong>farmers</strong><br />

were not prompted with any mentions <strong>of</strong> the tungro vector, green leafhopper.<br />

Results<br />

Rice was the major crop <strong>in</strong> all the villages. Intensity <strong>of</strong> <strong>rice</strong> production varied from<br />

one crop a year <strong>in</strong> ra<strong>in</strong>fed areas to three crops a year where water was available yearround.<br />

Farm sizes ranged from 0.1 to 9 ha. averag<strong>in</strong>g 1.8 ha. Crop rotation was rarely<br />

practiced outside the ra<strong>in</strong>fed areas.<br />

All <strong>farmers</strong> had heard <strong>of</strong> tungro, and the majority said it had occurred <strong>in</strong> their<br />

fields. Only 13% said they had never experienced it, whereas 6% reported experienc<strong>in</strong>g<br />

an outbreak <strong>of</strong> tungro more than five times. Except for the hotspot areas, <strong>farmers</strong><br />

Farmers' perceptions <strong>of</strong> <strong>rice</strong> tungro disease <strong>in</strong> the Philipp<strong>in</strong>es 131


ecalled that most <strong>of</strong> the outbreaks had occurred <strong>in</strong> the 1970s or 1990s with far fewer<br />

occurrences dur<strong>in</strong>g the 1980s.<br />

Importance <strong>of</strong> tungro<br />

The <strong>farmers</strong> considered tungro to be an extremely damag<strong>in</strong>g disease, especially if it<br />

occurred dur<strong>in</strong>g the early crop stages. If that happened, most <strong>farmers</strong> believed that the<br />

<strong>in</strong>fected plants would not yield at all. If tungro struck at later stages, they said they<br />

would harvest a little, but crop losses <strong>of</strong> more than 70% were reported. Few <strong>farmers</strong><br />

thought that <strong>rice</strong> plants could recover after be<strong>in</strong>g <strong>in</strong>fected. One group described tungro<br />

to be like the disease AIDS, while another group said it was like cancer.<br />

Farmers ranked tungro as the most serious pest problem <strong>in</strong> both the wet and dry<br />

seasons <strong>in</strong> all the areas surveyed, <strong>in</strong>clud<strong>in</strong>g those where tungro outbreaks are <strong>in</strong>frequent.<br />

Golden snail ( Pomacea sp. ) was ranked a close second (Table 1). Farmers<br />

expla<strong>in</strong>ed that they ranked tungro highly among pests-despite the relatively low<br />

frequency <strong>of</strong> outbreaks—because it was so damag<strong>in</strong>g when it occurred and so difficult<br />

to control.<br />

Knowledge <strong>of</strong> tungro symptoms, causes, and mode <strong>of</strong> spread<br />

Farmers' descriptions <strong>of</strong> the disease symptoms usually corresponded with those <strong>of</strong><br />

scientists, but wide discrepancies occurred over perceptions <strong>of</strong> the causes and mode<br />

<strong>of</strong> spread (Table 2). Examples <strong>of</strong> <strong>in</strong>compatible descriptions are leaves turn white,<br />

worms cause tungro, and tungro “germs” are <strong>in</strong> the soil.<br />

Table 1. Farmers’ rank<strong>in</strong>g a <strong>of</strong> <strong>in</strong>sect pests and diseases.<br />

Dry season<br />

Wet season<br />

Tungro (268)<br />

Tungro (374)<br />

Golden snail (247) Golden snail (279)<br />

Rats (172) Rats (204)<br />

Rice bug (80) Stem borer (87)<br />

Stem borer (75) Rice bug (75)<br />

Brown planthopper (45) Brown planthopper (62)<br />

Birds (34) Green leafhopper (44)<br />

Green leafhopper (20) Birds (23)<br />

Other <strong>in</strong>sect pests and diseases (


Table 3. Farmers’ perceptions <strong>of</strong> causes and spread <strong>of</strong> tungro a .<br />

Farmers’ perceptions % <strong>of</strong> 242<br />

respondents<br />

Caused by<br />

Susceptible plant variety<br />

Soil problem (too acidic,<br />

lack <strong>of</strong> fertilizer, too much fertilizer)<br />

Weather conditions<br />

Seeds<br />

Green leafhopper<br />

Insects<br />

Disease present <strong>in</strong> soil<br />

Virus<br />

Water<br />

Brown planthopper<br />

Worms <strong>in</strong> plants<br />

Late plant<strong>in</strong>g time<br />

Other<br />

Do not know<br />

Spread by<br />

Fly<strong>in</strong>g <strong>in</strong>sects<br />

Water<br />

Air<br />

Seeds<br />

Worms/virus <strong>in</strong> soil<br />

Roots <strong>of</strong> <strong>in</strong>fected plants<br />

Stem borers<br />

Other<br />

Do not know<br />

22.3<br />

17.8<br />

17.8<br />

16.1<br />

14.0<br />

11.1<br />

6.6<br />

6.2<br />

5.8<br />

2.5<br />

2.1<br />

2.1<br />

2.9<br />

12.0<br />

37.6<br />

14.5<br />

10.3<br />

7.0<br />

3.7<br />

1.2<br />

0.8<br />

2.1<br />

30.6<br />

a Multiple answers possible.<br />

Recogniz<strong>in</strong>g symptoms. The majority <strong>of</strong> <strong>farmers</strong> could describe the symptoms <strong>of</strong><br />

tungro: yellow or red leaves, stunt<strong>in</strong>g, low tiller<strong>in</strong>g, and low yield. Only 12% <strong>of</strong> the<br />

respondents described symptoms not associated with tungro, such as molds or folded,<br />

cut, or white leaves. In group discussions, <strong>farmers</strong> supplied additional detailed <strong>in</strong>formation<br />

they use to identify tungro from other conditions, such as its occurrence <strong>in</strong><br />

patches <strong>in</strong> the field, or the fact that <strong>rice</strong> does not recover after fertilizer is applied if it<br />

is <strong>in</strong>fected with tungro. Most <strong>farmers</strong> (79%) could also name other diseases or conditions<br />

<strong>of</strong> <strong>rice</strong> with symptoms similar to those <strong>of</strong> tungro, such as yellow<strong>in</strong>g <strong>of</strong> leaves.<br />

Lack <strong>of</strong> fertilizer was the most commonly reported condition.<br />

Causes and spread <strong>of</strong> tungro. Op<strong>in</strong>ions differed over the causes <strong>of</strong> tungro and<br />

how it spread (Table 3). The majority thought that tungro occurrence was connected<br />

with the variety or seeds used and with <strong>in</strong>sects, but the causal mechanism was unclear.<br />

Another vague area centered around what <strong>farmers</strong> who mentioned virus actually<br />

imag<strong>in</strong>ed a virus to be. Some described it as a “micro-worm.”<br />

Farmers, particularly <strong>in</strong> areas where tungro occurs frequently, regarded a <strong>rice</strong><br />

variety’s susceptibility to the disease as a major causal factor. For example, 53% <strong>of</strong><br />

the respondents <strong>in</strong> tungro hotspot Polangui thought that variety or seeds were impor-<br />

Farmers’ perceptions <strong>of</strong> <strong>rice</strong> tungro disease <strong>in</strong> the Philipp<strong>in</strong>es 133


tant causal factors, whereas only 16% <strong>of</strong> the respondents <strong>in</strong> the ra<strong>in</strong>fed areas mentioned<br />

them.<br />

The survey results revealed the importance many <strong>farmers</strong> place on soil condition<br />

as a determ<strong>in</strong><strong>in</strong>g factor. Weather conditions, particularly sudden changes or excessive<br />

heat, waterlogged fields, and even the volcanic eruption <strong>of</strong> Mount P<strong>in</strong>atubo were<br />

cited as conditions associated with tungro <strong>in</strong>cidence.<br />

Almost a third (31%) <strong>of</strong> the respondents said they did not know how tungro<br />

spreads. Although 38% were aware that <strong>in</strong>sects feed<strong>in</strong>g on <strong>in</strong>fected plants spread<br />

tungro, even those <strong>farmers</strong> who had attended DA sem<strong>in</strong>ars did not perceive clearly<br />

the green leafhopper’s exact role as the major vector. Several <strong>farmers</strong> thought that<br />

there were modes <strong>of</strong> disease transmission <strong>in</strong> addition to the green leafhopper. Some<br />

also regarded green leafhopper as a pest <strong>in</strong> its own right. <strong>in</strong>dependent <strong>of</strong> its function<br />

as a tungro vector.<br />

Accurate identification <strong>of</strong> the green leafhopper is sometimes uncerta<strong>in</strong> because<br />

local names are not always detailed enough to be unique. In Central Luzon, for example,<br />

the Tagalog word ngusong kabayo is usually translated as green leafhopper,<br />

but it may also mean, generically, adult hopper <strong>in</strong> some locations. In Bicol, the general<br />

word layog-layog, mean<strong>in</strong>g fly<strong>in</strong>g <strong>in</strong>sects, is commonly used.<br />

Many <strong>farmers</strong> thought that tungro could be spread through water, soil, or the air,<br />

with some describ<strong>in</strong>g it as a germ that is carried <strong>in</strong> the air like the human cold virus.<br />

Many <strong>farmers</strong> from the tungro hotspots were conv<strong>in</strong>ced that the disease is seed-borne:<br />

20% <strong>of</strong> the respondents from Polangui, for example, thought this. Farmers <strong>in</strong> Polangui<br />

and Davao experienced a major tungro outbreak after the DA <strong>in</strong>troduced new seeds<br />

from outside the area. This occurrence re<strong>in</strong>forced their conviction that tungro is <strong>in</strong> the<br />

seeds.<br />

Source <strong>of</strong> disease <strong>in</strong>oculum. Farmers appeared unaware <strong>of</strong> the threat to new <strong>rice</strong><br />

plant<strong>in</strong>gs from diseased plants <strong>in</strong> the surround<strong>in</strong>g area. No one mentioned that the<br />

virus rema<strong>in</strong>s <strong>in</strong> the plant, provid<strong>in</strong>g a source <strong>of</strong> <strong>in</strong>oculum for green leafhoppers to<br />

spread to other plants. Even <strong>farmers</strong> who knew that tungro is a virus and is spread by<br />

green leafhoppers believed that the <strong>in</strong>sects would always carry the virus, mean<strong>in</strong>g it is<br />

a permanent, <strong>in</strong>tr<strong>in</strong>sic characteristic <strong>of</strong> the <strong>in</strong>sect. They were not aware that a green<br />

leafhopper must feed <strong>in</strong>itially on an <strong>in</strong>fected plant to acquire the virus, and that an<br />

<strong>in</strong>sect will lose its <strong>in</strong>fectivity if it does not repeatedly feed on diseased <strong>rice</strong> plants.<br />

Additionally, they did not know that only a portion <strong>of</strong> a green leafhopper population<br />

may carry the virus.<br />

Management strategies<br />

Farmers’ <strong>management</strong> <strong>of</strong> tungro depends on when the disease is noticed <strong>in</strong> the field<br />

(Table 4). Chemical control and chang<strong>in</strong>g the variety were the most widely used strategies.<br />

About a third <strong>of</strong> the <strong>farmers</strong>, however, said that they did not take any measures<br />

aga<strong>in</strong>st tungro, especially if it occurred dur<strong>in</strong>g late crop growth. No control measure<br />

was thought effective enough to be worth the cost or effort.<br />

Chemical control. Many <strong>farmers</strong> (77%) said that they would use <strong>in</strong>secticides to<br />

control tungro. Farmers believed that these chemicals were effective <strong>in</strong> kill<strong>in</strong>g the<br />

134 Warburton et al


Table 4. Farmers’ tungro <strong>management</strong> strategies.<br />

% <strong>of</strong> 242 <strong>farmers</strong> us<strong>in</strong>g the measure<br />

Control measure When tungro At early crop At late crop To prevent<br />

occurs <strong>in</strong> growth growth reoccurrence<br />

nearby field<br />

next season<br />

Use <strong>in</strong>secticide<br />

(spray/granules)<br />

Change variety<br />

Rogue <strong>in</strong>fected plants<br />

Plow under field<br />

Dra<strong>in</strong> or control water<br />

Apply fertilizer<br />

Burn stubble<br />

Practice fallow<br />

Use early or<br />

synchronized plant<strong>in</strong>g<br />

Clean field and dikes<br />

Use traditional repellents<br />

Use other controls<br />

Do noth<strong>in</strong>g<br />

Do not know<br />

70.2<br />

6.6<br />

1.7<br />

0<br />

14.0<br />

3.7<br />

0.4<br />

0<br />

0.8<br />

3.7<br />

0.8<br />

3.7<br />

12.4<br />

1.2<br />

72.7<br />

1.2<br />

39.3<br />

16.5<br />

14.5<br />

8.3<br />

0.4<br />

3.0<br />

0.4<br />

0.4<br />

0<br />

4.1<br />

5.8<br />

1.7<br />

53.7<br />

1.2<br />

5.4<br />

2.1<br />

9.5<br />

6.2<br />

0.4<br />

0<br />

0<br />

0<br />

0<br />

1.2<br />

31.8<br />

1.2<br />

11.6<br />

85.5<br />

0.4<br />

3.7<br />

5.4<br />

5.4<br />

8.7<br />

11.0<br />

3.3<br />

0<br />

0<br />

5.8<br />

3.3<br />

0<br />

<strong>in</strong>sects that cause tungro (and simultaneously protect<strong>in</strong>g aga<strong>in</strong>st other <strong>in</strong>sect pests),<br />

but they were aware that spray<strong>in</strong>g did not effectively control the spread <strong>of</strong> tungro.<br />

Commonly used <strong>in</strong>secticides were monocrotophos, endosulfan, and cypermethr<strong>in</strong>.<br />

Some <strong>farmers</strong> used furadan granules to treat seedbeds. Only one respondent thought<br />

that fungicides were effective.<br />

Use <strong>of</strong> resistant varieties. Most <strong>farmers</strong> (86%) said that they would change varieties<br />

to prevent tungro from occurr<strong>in</strong>g aga<strong>in</strong>. Awareness <strong>of</strong> the importance <strong>of</strong> varietal<br />

resistance to tungro was most acute <strong>in</strong> the hotspots. Farmers <strong>in</strong> these areas said that<br />

resistance to tungro was one <strong>of</strong> the ma<strong>in</strong> criteria for select<strong>in</strong>g seed. In the group discussions,<br />

they listed the varieties grown locally and specified which were susceptible<br />

and resistant. Many actively sought and tested new l<strong>in</strong>es for resistance. Farmers knew<br />

that some varieties that had <strong>in</strong>itially appeared resistant had become <strong>in</strong>fected over<br />

time, mean<strong>in</strong>g the resistance had broken down. In certa<strong>in</strong> cases, <strong>farmers</strong> reported<br />

varieties as susceptible to tungro, although the DA still regarded them as resistant.<br />

It is unclear exactly what <strong>farmers</strong> mean by “resistant.” Farmers outside the endemic<br />

areas did not always differentiate clearly among resistance to various <strong>in</strong>sect<br />

pests and diseases. Some believed that newly released varieties were always more<br />

resistant than older ones. Other <strong>farmers</strong> believed that it was not good to plant the same<br />

seed on the same land for consecutive seasons, so they obta<strong>in</strong> new seed even though it<br />

might be <strong>of</strong> the same variety. (They say that the soil has become tired (sawa) <strong>of</strong> the<br />

same seed.) Sometimes the variety be<strong>in</strong>g used could not be identified because it had<br />

been given a local name.<br />

Farmers' perceptions <strong>of</strong> <strong>rice</strong> tungro disease <strong>in</strong> the Philipp<strong>in</strong>es 135


Remov<strong>in</strong>g diseased plants. Rogu<strong>in</strong>g diseased plants was regarded as laborious<br />

and <strong>in</strong>effective. It was only thought appropriate if a few plants were affected at early<br />

crop stages. None <strong>of</strong> the <strong>farmers</strong> <strong>in</strong>dicated any urgency <strong>in</strong> remov<strong>in</strong>g diseased plants.<br />

Some <strong>farmers</strong> said that they would plow under the whole field if it became <strong>in</strong>fected.<br />

Others stated that plow<strong>in</strong>g under is not a feasible option, especially when the<br />

crop is near harvest: they would rather wait and reap whatever they can. Plow<strong>in</strong>g a<br />

field is an expensive option, and <strong>farmers</strong>, because the harvest is lost, may lack the<br />

funds to pay for it. Plow<strong>in</strong>g under stubble immediately after harvest was not practiced<br />

as a measure aga<strong>in</strong>st tungro but was done by those grow<strong>in</strong>g three crops a year who<br />

wanted to plant another crop as quickly as possible.<br />

Plant<strong>in</strong>g dates, fallows, and crop rotations. Adjust<strong>in</strong>g plant<strong>in</strong>g dates or chang<strong>in</strong>g<br />

cropp<strong>in</strong>g patterns to <strong>in</strong>corporate fallows or break crops were not major components<br />

<strong>of</strong> <strong>farmers</strong>’ <strong>management</strong> strategies. The most awareness <strong>of</strong> plant<strong>in</strong>g date effects was<br />

among <strong>farmers</strong> <strong>in</strong> Famy, where many who had planted late <strong>in</strong> 1994 had experienced<br />

tungro. Additionally, the DA had been advis<strong>in</strong>g <strong>farmers</strong> to allow for a fallow period<br />

after outbreaks.<br />

Many factors unconnected with tungro <strong>in</strong>fluenced <strong>farmers</strong>’ decisions about early<br />

or synchronous plant<strong>in</strong>g, <strong>in</strong>clud<strong>in</strong>g the availability <strong>of</strong> water, money, and labor to start<br />

prepar<strong>in</strong>g land. Synchronous plant<strong>in</strong>g and fallows are difficult to implement-specially<br />

<strong>in</strong> areas where water is cont<strong>in</strong>uously available. Farmers <strong>in</strong> those places can<br />

plant when they like, and implement<strong>in</strong>g a fallow may mean hav<strong>in</strong>g to forgo a third<br />

crop. The <strong>farmers</strong> surveyed did not mention crop rotation as a way to manage tungro;<br />

those who practiced it did so <strong>in</strong> response to water shortages.<br />

Other control methods. Several <strong>farmers</strong> cited dra<strong>in</strong><strong>in</strong>g the field as a way to manage<br />

tungro—specially <strong>in</strong> Polangui, where respondents reported tungro to be more<br />

prevalent <strong>in</strong> waterlogged fields. Farmers dra<strong>in</strong> fields to control other pests-especially<br />

snails—so it is not clear whether this control is always aimed specifically at<br />

tungro. Several <strong>farmers</strong> also reported apply<strong>in</strong>g fertilizer as a way to reduce losses<br />

from tungro.<br />

Before pesticides were common, <strong>farmers</strong> said that they used certa<strong>in</strong> plants<br />

(kakawate, Gliricida sepium, and tagbag or talbak, Garc<strong>in</strong>ia l<strong>in</strong>earifolia) to ward <strong>of</strong>f<br />

diseases. Branches were placed <strong>in</strong> the <strong>in</strong>lets <strong>of</strong> canals go<strong>in</strong>g <strong>in</strong>to a field, or sometimes<br />

at the corner <strong>of</strong> a field. Only two <strong>of</strong> the <strong>farmers</strong> <strong>in</strong>terviewed were us<strong>in</strong>g these methods.<br />

Differences <strong>in</strong> knowledge and practices among <strong>farmers</strong><br />

Results from the farmer survey were analyzed to <strong>in</strong>vestigate whether any patterns<br />

between <strong>farmers</strong>’ knowledge and practices relat<strong>in</strong>g to tungro and socioeconomic factors<br />

emerged. Chi-square tests did not reveal any significant patterns between the<br />

number <strong>of</strong> tungro occurrences experienced, age <strong>of</strong> farmer (as a proxy for farm experience),<br />

or level <strong>of</strong> formal education and knowledge <strong>of</strong> the symptoms, causes, and<br />

mode <strong>of</strong> spread. No difference was evident between men and women. Farmers <strong>in</strong><br />

locations where tungro was endemic did not understand its mode <strong>of</strong> spread more than<br />

those <strong>in</strong> other areas (<strong>in</strong> terms <strong>of</strong> compatibility with scientists’ knowledge).<br />

136 Warburton et al


Differences <strong>in</strong> knowledge between locations, however, were evident from the<br />

group discussions. Farmers had more detailed knowledge <strong>of</strong> the susceptibility <strong>of</strong> different<br />

varieties to tungro and were more skeptical about the effectiveness <strong>of</strong> chemicals<br />

<strong>in</strong> areas where tungro is common.<br />

Information sources on tungro<br />

About half (49%) the <strong>farmers</strong> reported DA technicians to be the most common source<br />

<strong>of</strong> advice on tungro, but the recommendations received on its control varied from area<br />

to area. Learn<strong>in</strong>g from other <strong>farmers</strong> (20%) and from their own experience (13%)<br />

were also important. Only 6% said that they obta<strong>in</strong>ed <strong>in</strong>formation from pesticide<br />

sellers. Some <strong>farmers</strong> were skeptical about advice from chemical companies. Several,<br />

for example, suggested that pesticide companies deliberately put “germs” <strong>in</strong>to<br />

their products to ensure that <strong>farmers</strong> cont<strong>in</strong>ue to buy more pesticides to control them.<br />

Accord<strong>in</strong>g to the <strong>farmers</strong>, most <strong>of</strong> the DA technicians’ recommendations <strong>in</strong>cluded<br />

us<strong>in</strong>g either spray or granular <strong>in</strong>secticides. Rogu<strong>in</strong>g, plow<strong>in</strong>g a whole field, fertiliz<strong>in</strong>g,<br />

and dra<strong>in</strong><strong>in</strong>g a field were also commonly advised. These recommendations, however,<br />

were not always followed: some <strong>farmers</strong> reported believ<strong>in</strong>g that it was too expensive<br />

to spray as advised or to plow under a whole field.<br />

Some <strong>farmers</strong> also received advice from DA technicians on suitable varieties, but<br />

details about which varieties to use varied. In some areas, for example, DA technicians<br />

advised <strong>farmers</strong> to avoid plant<strong>in</strong>g <strong>IRRI</strong> varieties. Except <strong>in</strong> Famy, <strong>farmers</strong> received<br />

little advice on plant<strong>in</strong>g dates and fallow periods.<br />

Discussion<br />

Identify<strong>in</strong>g tungro and its vector<br />

Interviews alone cannot determ<strong>in</strong>e with certa<strong>in</strong>ty <strong>farmers</strong>’ abilities to identify tungro,<br />

but the majority <strong>of</strong> the descriptions given were consistent with scientific views. Farmers<br />

do not, however, seem to use “tungro” as a general name for yellow<strong>in</strong>g or stunt<strong>in</strong>g.<br />

Misidentify<strong>in</strong>g green leafhopper and its role is more prevalent among <strong>farmers</strong><br />

than misidentify<strong>in</strong>g tungro. Some do not dist<strong>in</strong>guish clearly between <strong>in</strong>sect types,<br />

while others know <strong>of</strong> green leafhopper but do not understand the relationship between<br />

the <strong>in</strong>sect and the disease. Those who th<strong>in</strong>k that green leafhopper is a pest <strong>in</strong> its<br />

own right (apart from be<strong>in</strong>g a vector <strong>of</strong> tungro) are not <strong>in</strong> l<strong>in</strong>e with current scientific<br />

op<strong>in</strong>ion that the <strong>in</strong>sect is unlikely to cause significant damage if it is not <strong>in</strong>fective.<br />

Farmers may th<strong>in</strong>k that all types <strong>of</strong> hoppers are pests—as are brown planthoppers <strong>in</strong><br />

large numbers—or that old extension messages from the DA and current messages<br />

from chemical companies have raised the status <strong>of</strong> green leafhopper as a pest <strong>in</strong> <strong>farmers</strong>’<br />

m<strong>in</strong>ds. (Insecticide labels <strong>of</strong>ten mention green leafhopper control.)<br />

Results from this study correspond with those from a study <strong>of</strong> <strong>farmers</strong>’ perceptions<br />

<strong>of</strong> tungro <strong>in</strong> Malaysia, which revealed that <strong>farmers</strong> could describe tungro symptoms<br />

but were unclear about the causal agent (Heong and Ho 1987). But the importance<br />

attached to us<strong>in</strong>g resistant varieties <strong>in</strong> the Philipp<strong>in</strong>es was not evident <strong>in</strong> the<br />

Malaysian survey: only 5% <strong>of</strong> 270 <strong>farmers</strong> reported us<strong>in</strong>g them. A possible reason for<br />

Farmers’ perceptions <strong>of</strong> <strong>rice</strong> tungro disease <strong>in</strong> the Philipp<strong>in</strong>es 137


the difference may be that Philipp<strong>in</strong>e <strong>farmers</strong> <strong>in</strong> endemic areas have had more years’<br />

experience deal<strong>in</strong>g with the disease—and observ<strong>in</strong>g the performance <strong>of</strong> varieties—<br />

than had the Malaysian <strong>farmers</strong> <strong>in</strong> 1984.<br />

Farmers’ perceptions <strong>of</strong> the cause <strong>of</strong> disease<br />

Based on Bentley’s typology <strong>of</strong> farmer knowledge (Bentley 1992), tungro disease is<br />

likely to fall <strong>in</strong>to the category <strong>of</strong> important but difficult-to-observe, where <strong>farmers</strong>’<br />

beliefs may differ considerably from those <strong>of</strong> scientists and possibly <strong>in</strong>volve more<br />

folklore or rituals. Results from our study are <strong>in</strong> l<strong>in</strong>e with this typology because <strong>farmers</strong><br />

do f<strong>in</strong>d it difficult to expla<strong>in</strong> the causes <strong>of</strong> tungro, and their accounts differ from<br />

scientific views. Remedies for tungro based on folklore, however, did not play a major<br />

part <strong>in</strong> <strong>farmers</strong>’ strategies.<br />

The parallels between perceptions <strong>of</strong> human and plant diseases are supported by<br />

the <strong>in</strong>formation gleaned through this study. In Tagalog, the same word ( sakit ) is used<br />

for plant and human diseases. <strong>Pest</strong>icides are <strong>of</strong>ten referred to as medic<strong>in</strong>e ( gamot ) or<br />

sometimes poison ( lason ). Farmers <strong>of</strong>ten likened tungro to the human illnesses <strong>of</strong><br />

AIDS and cancer. The belief that tungro is spread by air, water, and soil as well as<br />

<strong>in</strong>sects is understandable if <strong>farmers</strong> assume that tungro, because it is a disease, will<br />

spread <strong>in</strong> ways similar to those <strong>of</strong> human germs.<br />

Studies <strong>in</strong> the Philipp<strong>in</strong>es <strong>of</strong> beliefs about the causes <strong>of</strong> human diseases have<br />

revealed that people <strong>of</strong>ten have complex views <strong>of</strong> the cause and effect <strong>of</strong> disease, with<br />

several causes <strong>of</strong>ten associated with one or more effects, rather than one cause lead<strong>in</strong>g<br />

to one effect. Often a comb<strong>in</strong>ation <strong>of</strong> a person’s susceptibility (perhaps caused by<br />

hunger or fatigue) plus an unexpected natural phenomenon (such as a sudden heavy<br />

ra<strong>in</strong>) is thought to result <strong>in</strong> sickness (Himes 1971).<br />

Throughout the Philipp<strong>in</strong>es, numerous drug company advertisements ensure that<br />

the population is “germ” conscious. The term “virus” is well known, with antiseptics<br />

and other products commonly used aga<strong>in</strong>st these unseen organisms. Tan (1987), however,<br />

notes that although theories <strong>of</strong> germs are recognized, they may not always be<br />

well understood.<br />

Although <strong>farmers</strong> f<strong>in</strong>d it difficult to describe exactly what causes tungro and<br />

some express the view that it is the will <strong>of</strong> God ( bahala na ), they are not fatalistic or<br />

passive <strong>in</strong> their approach to look<strong>in</strong>g for control methods. Several causes or conditions<br />

based on the plant’s state and on natural phenomena are <strong>of</strong>ten given to expla<strong>in</strong> the<br />

outbreak <strong>of</strong> tungro. Based on an approach similar to that <strong>of</strong> Himes (1971) and Tan<br />

(1987), the perceived causes <strong>of</strong> tungro can be understood as a mixture <strong>of</strong> th<strong>in</strong>gs that<br />

make the plant more susceptible to <strong>in</strong>fection occurr<strong>in</strong>g simultaneously with natural<br />

conditions likely to cause tungro (Fig. 1). Farmers’ strategies to combat tungro seem<br />

to be based on these perceptions because they <strong>of</strong>ten attempt to strengthen the plant’s<br />

condition and reduce the causal agents.<br />

What is miss<strong>in</strong>g from this scheme is an understand<strong>in</strong>g <strong>of</strong> the role <strong>of</strong> diseased<br />

plants <strong>in</strong> provid<strong>in</strong>g a source <strong>of</strong> <strong>in</strong>oculum for the vectors. Without this knowledge, it is<br />

not surpris<strong>in</strong>g that <strong>farmers</strong> pay little attention to diseased plants rema<strong>in</strong><strong>in</strong>g <strong>in</strong> the<br />

field.<br />

138 Warburton et al


Fig. 1. Farmers' perceptions <strong>of</strong> causes and conditions lead<strong>in</strong>g to tungro<br />

<strong>in</strong>fection, and controls for the disease.<br />

Risk perceptions <strong>of</strong> tungro<br />

The probability <strong>of</strong> an outbreak <strong>of</strong> tungro, compared with pests such as golden snails,<br />

is small even <strong>in</strong> endemic areas. Despite this, <strong>farmers</strong> rate tungro as an important pest<br />

even <strong>in</strong> nonendemic areas. Another study <strong>of</strong> perceptions <strong>of</strong> <strong>in</strong>sect pests and diseases<br />

(Heong et al 1992) also revealed the importance <strong>farmers</strong> accord to tungro.<br />

Farmers’ perceptions <strong>of</strong> the characteristics <strong>of</strong> risk from a tungro outbreak are<br />

very different from those <strong>of</strong> snails. Farmers regard tungro as an uncontrollable disease<br />

from which a plant cannot recover. They also believe that the occurrence <strong>of</strong><br />

tungro is difficult to predict and that its cause cannot be seen. In contrast. snails appear<br />

to be easier to observe and control, and <strong>rice</strong> can be replanted (Fig. 2). People<br />

tend to perceive risks with unknown and uncontrollable aspects as greater than those<br />

with known and more controllable characteristics—even though the probability <strong>of</strong><br />

the event is much less (Slovic 1987). Farmers’ perceived powerlessness <strong>in</strong> predict<strong>in</strong>g<br />

or controll<strong>in</strong>g tungro may expla<strong>in</strong> why they rate it so highly.<br />

Effects <strong>of</strong> <strong>farmers</strong>' perceptions on adopt<strong>in</strong>g <strong>management</strong> strategies<br />

Farmers know that tungro is connected with <strong>in</strong>sects and <strong>rice</strong> varieties, so they have a<br />

rationale for adopt<strong>in</strong>g strategies for <strong>in</strong>sect control and experiment<strong>in</strong>g with different<br />

varieties. In some cases, <strong>farmers</strong> may be ahead <strong>of</strong> scientists <strong>in</strong> their knowledge <strong>of</strong> a<br />

variety’s usefulness and local conditions. IR60, a tungro-resistant variety, provides an<br />

excellent example. The Philipp<strong>in</strong>e Seed Board <strong>of</strong>ficially released it as a variety—but<br />

only after <strong>farmers</strong> <strong>in</strong> M<strong>in</strong>danao had acquired, tested, and dissem<strong>in</strong>ated the breed<strong>in</strong>g<br />

l<strong>in</strong>e IR13429-299-2-1-3 themselves (Fujisaka 1990). Further <strong>in</strong>vestigation <strong>of</strong> the varieties<br />

<strong>farmers</strong> are test<strong>in</strong>g may yield <strong>in</strong>formation that researchers could <strong>in</strong>corporate<br />

<strong>in</strong>to location-specific varietal trials.<br />

Farmers’ perceptions <strong>of</strong> <strong>rice</strong> tungro disease <strong>in</strong> the Philipp<strong>in</strong>es 139


Fig. 2. Characteristics <strong>of</strong> <strong>farmers</strong>’ risk perceptions <strong>of</strong> <strong>in</strong>sect<br />

pests and diseases. Adapted from Slovic 1987, Fig. 1, for<br />

general risks.<br />

Management strategies connected with remov<strong>in</strong>g diseased plants (rogu<strong>in</strong>g, plow<strong>in</strong>g<br />

under a field, practic<strong>in</strong>g fallows) are more difficult to implement because <strong>farmers</strong><br />

do not fully understand the effect <strong>of</strong> these on tungro. Until they realize the potential<br />

problems from leav<strong>in</strong>g diseased plants <strong>in</strong> the field, they have no <strong>in</strong>centive to remove<br />

them. Extension messages need to focus on this <strong>in</strong>formation gap.<br />

Conclusions<br />

Farmers’ knowledge <strong>of</strong> tungro is uneven. By simply observ<strong>in</strong>g the disease <strong>in</strong> their<br />

fields, <strong>farmers</strong> have developed some effective <strong>management</strong> strategies—such as select<strong>in</strong>g<br />

resistant varieties—without detailed knowledge <strong>of</strong> tungro’s causes. Yet misunderstand<strong>in</strong>gs<br />

over how the disease is transmitted mean that <strong>farmers</strong> put their <strong>rice</strong><br />

crops at risk by leav<strong>in</strong>g diseased plants <strong>in</strong> fields.<br />

Farmers’ perceptions <strong>of</strong> <strong>in</strong>sect pests and diseases are important <strong>in</strong>fluences on<br />

their adoption <strong>of</strong> control methods. They may not require knowledge <strong>of</strong> every scientific<br />

detail, but they need to understand the reasons for adopt<strong>in</strong>g control measures,<br />

especially when these measures require time and effort. When recommend<strong>in</strong>g strategies<br />

for pest <strong>management</strong>, scientists must provide relevant <strong>in</strong>formation to <strong>farmers</strong><br />

that will build on what they already know. Fill<strong>in</strong>g these gaps to improve understand<strong>in</strong>g<br />

will enable <strong>farmers</strong> to make more <strong>in</strong>formed decisions about <strong>management</strong> strategies.<br />

References<br />

Bentley JW. 1992. The epistemology <strong>of</strong> plant protection: Honduran campes<strong>in</strong>o knowledge <strong>of</strong><br />

pests and natural enemies. In: Gibson RW, Sweetrnore A, editors. Proceed<strong>in</strong>gs <strong>of</strong> a sem<strong>in</strong>ar<br />

on crop protection for resource-poor <strong>farmers</strong>. Chatham (UK): Natural Resources Institute<br />

and Technical Centre for Agriculture and Rural Co-operation. p 107-118.<br />

Bentley J, Andrews K. 1996. Through the roadblocks: IPM and Central American smallholders.<br />

Gatekeeper Series No. 56. London: <strong>International</strong> Institute for Environment and Development.<br />

20 p.<br />

140 Warburton et al


BPI (Bureau <strong>of</strong> Plant Industry). 1971. Tungro: its symptoms and control. Manila (Philipp<strong>in</strong>es):<br />

BPI.<br />

Chambers R, Pacey A, Thrupp LA. 1989. Farmer first: farmer <strong>in</strong>novation and agricultural research.<br />

London: Intermediate Technology Publications.<br />

DA (Department <strong>of</strong> Agriculture). 1979. Masagana 99 emergency bullet<strong>in</strong>: easy and sure means<br />

<strong>of</strong> controll<strong>in</strong>g tungro. Manila (Philipp<strong>in</strong>es): DA.<br />

DA (Department <strong>of</strong> Agriculture). 1994. Institut<strong>in</strong>g preventative and eradication measures aga<strong>in</strong>st<br />

the tungro virus <strong>in</strong> <strong>rice</strong>. Memorandum Circular No. 3, 30 June 1994. Manila (Philipp<strong>in</strong>es):<br />

DA.<br />

Fairhead J. 1991. Methodological notes on explor<strong>in</strong>g <strong>in</strong>digenous knowledge and <strong>management</strong><br />

<strong>of</strong> crop health. In: RRA notes: participatory methods for learn<strong>in</strong>g and analysis. No. 14.<br />

London: <strong>International</strong> Institute for Environment and Development.<br />

Fujisaka S. 1990. Farmer knowledge and susta<strong>in</strong>ability <strong>in</strong> <strong>rice</strong> farm<strong>in</strong>g systems: blend<strong>in</strong>g science<br />

and <strong>in</strong>digenous <strong>in</strong>novation. <strong>IRRI</strong> Social Science Division Paper No. 90-39. Los Baños<br />

(Philipp<strong>in</strong>es): <strong>International</strong> Rice Research Institute.<br />

Goodell G. 1984. Challenges to <strong>in</strong>ternational pest <strong>management</strong> research and extension <strong>in</strong> the<br />

Third World: do we really want IPM to work? Bullet<strong>in</strong> <strong>of</strong> the ESA. Fall 1984. p 18-26.<br />

Heong KL, Escalada MM, Lazaro AA. 1992. <strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong><br />

Leyte, Philipp<strong>in</strong>es. Los Baños (Philipp<strong>in</strong>es): <strong>International</strong> Rice Research Institute. 57 p.<br />

Heong KL, Ho NK. 1987. Farmers’ perceptions <strong>of</strong> the <strong>rice</strong> tungro virus problem <strong>in</strong> the Muda<br />

irrigation scheme, Malaysia. In: Tait J, Napompeth B, editors. Management <strong>of</strong> pests and<br />

pesticides. Boulder (Colorado, USA): Westview Press. p 165-173.<br />

Himes RS. 1971. Tagalog concepts <strong>of</strong> causality: disease. In: Lynch F, de Guzman A, editors.<br />

Modernisation: its impact <strong>in</strong> the Philipp<strong>in</strong>es. Vol. V. Institute <strong>of</strong> Philipp<strong>in</strong>e Culture Paper<br />

No. 10. Quezon City (Philipp<strong>in</strong>es): Ateneo de Manila University.<br />

Matteson PC. 1992. ‘Farmer first’ for establish<strong>in</strong>g IPM. Bull. Entomol. Res. 82:293-296.<br />

Ou SH. 1985. Rice diseases. Wall<strong>in</strong>gford (UK): CAB.<br />

Slovic P. 1987. Perception <strong>of</strong> risk. Science 236:280-288.<br />

Tan ML. 1987. Usug, kulam, pasma: traditional concepts <strong>of</strong> health and illness <strong>in</strong> the Philipp<strong>in</strong>es.<br />

In: Traditional medic<strong>in</strong>es <strong>in</strong> the Philipp<strong>in</strong>es: Research Report No. 3. Quezon City<br />

(Philipp<strong>in</strong>es): Alay Kapwa Kilusang Pangkalusugan.<br />

Thurston HD. 1990. Plant disease <strong>management</strong> practices <strong>of</strong> traditional <strong>farmers</strong>. Plant Dis.<br />

74(2):96-102.<br />

Notes<br />

Authors’ addresses: H. Warburton, Natural Resources Institute (NRI), Central Avenue, Chatham<br />

Maritime, Kent ME4 4TB, United K<strong>in</strong>gdom; F.L. Palis and S. Villareal, <strong>International</strong> Rice<br />

Research Institute (<strong>IRRI</strong>), P.O. Box 933. 1099 Manila. Philipp<strong>in</strong>es.<br />

Acknowledgments: We express our thanks to the staff members <strong>of</strong> the Department <strong>of</strong> Agriculture<br />

at Santo Tomas, Digos, Polangui, Famy, Lupao, and Muñoz who assisted us dur<strong>in</strong>g<br />

the survey. We are grateful to Drs. K.L. Heong, Paul S. Teng, and Prabu L. P<strong>in</strong>gali at <strong>IRRI</strong>.<br />

and Dr. S.R. Obien and staff members at the Philipp<strong>in</strong>e Rice Research Institute for their<br />

support. Many thanks are due to Dr. Tim Chancellor and the NRI-<strong>IRRI</strong> Tungro Project<br />

team members, and to Mr. Joseph Addawe and Ms. Maria Aurea Pr<strong>in</strong>cena for process<strong>in</strong>g<br />

data. Most <strong>of</strong> all, we thank all the <strong>farmers</strong> who participated <strong>in</strong> the study.<br />

Citation: Heong KL, Escalada MM, editors. 1997. <strong>Pest</strong> <strong>management</strong> <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong>.<br />

Manila (Philipp<strong>in</strong>es): <strong>International</strong> Rice Research Institute.<br />

Farmers’ perceptions <strong>of</strong> <strong>rice</strong> tungro disease <strong>in</strong> the Philipp<strong>in</strong>es 141


CHAPTER 10<br />

Weed <strong>management</strong> practices<br />

<strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Iloilo, Philipp<strong>in</strong>es<br />

K. Moody, M.M. Escalada, and K.L. Heong<br />

To understand <strong>rice</strong> <strong>farmers</strong>’ perceptions and practices <strong>in</strong> weed <strong>management</strong>,<br />

we conducted a survey among 300 <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> lloilo<br />

Prov<strong>in</strong>ce, Philipp<strong>in</strong>es. In both the wet and dry seasons, IR64 was<br />

planted by the majority <strong>of</strong> <strong>rice</strong> <strong>farmers</strong>, us<strong>in</strong>g seeds obta<strong>in</strong>ed from<br />

other <strong>farmers</strong> and neighbors, their own seed stock, the Department<br />

<strong>of</strong> Agriculture, and private seed growers. Farmers who reta<strong>in</strong>ed seeds<br />

for plant<strong>in</strong>g <strong>in</strong> the next season used seeds from the second crop<br />

p<strong>in</strong>g as these were judged to have better quality. Most <strong>farmers</strong><br />

changed seeds every year <strong>in</strong> order to plant a disease-resistant variety,<br />

to improve yield, or to try other varieties. Off-types, weedy types,<br />

and red <strong>rice</strong> were the contam<strong>in</strong>ants observed <strong>in</strong> the <strong>rice</strong> crop. When<br />

contam<strong>in</strong>ants were present, <strong>farmers</strong> either removed them or did<br />

noth<strong>in</strong>g. Rice weeds were believed to have come from the soil, to be<br />

carried by irrigation water, or to be mixed with <strong>rice</strong> seeds. Among the<br />

weeds considered to cause production losses, Ech<strong>in</strong>ochloa crusgall;<br />

L. was reported to be the most destructive. Other weeds considered<br />

destructive were E. colona (L.) L<strong>in</strong>k, Cynodon dactylon (L.)<br />

Pers., Fimbristylis miliacea (L.) Vahl, and Cyperus iria L.<br />

To reduce weed problems, herbicide applications, water <strong>management</strong>,<br />

and hand weed<strong>in</strong>g were the most common measures practiced<br />

by <strong>farmers</strong>. Herbicides were reportedly applied by most <strong>farmers</strong><br />

<strong>in</strong> the seedl<strong>in</strong>g and vegetative stages. In us<strong>in</strong>g water <strong>management</strong><br />

to control weeds, most <strong>farmers</strong> either flooded their fields a<br />

few days after apply<strong>in</strong>g herbicide or flooded the <strong>rice</strong>field without us<strong>in</strong>g<br />

herbicides. Water <strong>management</strong> was the ma<strong>in</strong> responsibility <strong>of</strong><br />

the male <strong>in</strong> the household, whereas weed<strong>in</strong>g was done mostly by<br />

hired labor.<br />

In terms <strong>of</strong> attitudes toward seed <strong>management</strong>, most <strong>farmers</strong><br />

believed that seeds from private seed growers did not require additional<br />

clean<strong>in</strong>g, that <strong>in</strong>fection and contam<strong>in</strong>ants <strong>in</strong> <strong>rice</strong> seeds for<br />

plant<strong>in</strong>g decreased yield, and that neighbors and friends should exchange<br />

seeds among themselves. Farmers were ambivalent, however,<br />

about the value <strong>of</strong> seed clean<strong>in</strong>g and the function <strong>of</strong> w<strong>in</strong>now<strong>in</strong>g<br />

<strong>in</strong> remov<strong>in</strong>g all <strong>in</strong>fected seeds.<br />

143


Introduction<br />

Agricultural production losses have been directly attributed to weeds. Estimates <strong>of</strong><br />

the annual losses caused by weeds have been placed at 109, or an equivalent <strong>of</strong> 46<br />

million t (Mortimer 1994, Moody 1991). On most farms, <strong>in</strong>adequate weed<strong>in</strong>g has<br />

resulted <strong>in</strong> serious yield reductions (Parker and Fryer 1975). With changes <strong>in</strong> crop<br />

establishment to direct seed<strong>in</strong>g and <strong>in</strong>creas<strong>in</strong>g labor and water <strong>management</strong> costs,<br />

weed problems have become <strong>in</strong>creas<strong>in</strong>gly important (Moody 1993). Not only has the<br />

shift from transplant<strong>in</strong>g to direct seed<strong>in</strong>g brought about a change <strong>in</strong> weed distribution,<br />

it has also resulted <strong>in</strong> greater weed competition because hand weed<strong>in</strong>g has become<br />

more difficult (Estorn<strong>in</strong>os and Moody 1982, Ho 1990).<br />

Weeds can be controlled through the application <strong>of</strong> diverse methods—manual,<br />

mechanical, cultural, and chemical. Among these options, cultural practices rema<strong>in</strong><br />

an <strong>in</strong>tegral part <strong>of</strong> any weed control program. The simultaneous application <strong>of</strong> sound<br />

crop <strong>management</strong> practices and herbicide use has been noted to br<strong>in</strong>g about effective<br />

weed control (Day 1972). In the Muda area <strong>of</strong> Malaysia. the decl<strong>in</strong>e <strong>in</strong> herbicide use<br />

dur<strong>in</strong>g 1990-93 was attributed to a strategic extension campaign on <strong>in</strong>tegrated weed<br />

<strong>management</strong>. Farmers who used proper cultural practices and correct tim<strong>in</strong>g and dosage<br />

<strong>of</strong> herbicides achieved better weed control than those with poor land preparation<br />

and improper water <strong>management</strong> (Adhikarya 1994).<br />

To control weeds, proper clean<strong>in</strong>g procedures are also necessary to ensure crop<br />

seeds with high purity as plant<strong>in</strong>g material. The use <strong>of</strong> clean seeds m<strong>in</strong>imizes the<br />

spread <strong>of</strong> weeds <strong>in</strong> the field, which reduces the cost <strong>of</strong> weed control, ma<strong>in</strong>ta<strong>in</strong>s crop<br />

quality, reduces hosts <strong>of</strong> plant pests, decreases irrigation costs, reduces <strong>in</strong>jury to livestock,<br />

and <strong>in</strong>creases land value (Doll 1994).<br />

Although the emergence <strong>of</strong> weeds has been traced to various sources, many important<br />

weeds <strong>in</strong> <strong>rice</strong> are <strong>in</strong>troduced either through impurities <strong>in</strong> the <strong>rice</strong> seeds<br />

(Delouche 1988, Fujisaka 1993) or from weed seeds submerged <strong>in</strong> the soil (Heong et<br />

al 1995). At crop maturity, weed seeds are harvested and processed along with <strong>rice</strong><br />

seeds, thus contam<strong>in</strong>at<strong>in</strong>g the plant<strong>in</strong>g materials to be used for the next crop. Consequently,<br />

weeds get widely distributed through <strong>rice</strong> seeds with mixtures <strong>of</strong> weed seeds<br />

(Delouche 1988). Contam<strong>in</strong>ation <strong>of</strong> crop seeds with weed seeds can perpetuate weeds<br />

<strong>in</strong> fields (Edward 1963).<br />

Mortimer (1994) described the persistence <strong>of</strong> seed banks <strong>in</strong> the soil and the presence<br />

<strong>of</strong> extremely high populations <strong>of</strong> underground meristems from which new plants<br />

can grow <strong>in</strong>to adults. Tuber populations <strong>of</strong> Cyperus rotundus L. can reach 10,000,000<br />

ha -1 (Rao 1968), whereas the annual production <strong>of</strong> Imperata cyl<strong>in</strong>drica can reach 6 t<br />

ha -1 (Soerjani 1970). In experiments conducted <strong>in</strong> Malaysia, Watanabe and Azmi Man<br />

(1995) reported millions <strong>of</strong> weed seeds per unit area, highlight<strong>in</strong>g the importance <strong>of</strong><br />

seed banks <strong>in</strong> weed <strong>management</strong>.<br />

The use <strong>of</strong> herbicides has been found to be a more economical and effective<br />

means <strong>of</strong> weed control (Moody 1994a, Caseley 1994). The extent <strong>of</strong> herbicide use is<br />

<strong>of</strong>ten <strong>in</strong>fluenced by the prevail<strong>in</strong>g labor costs, <strong>rice</strong> p<strong>rice</strong>s, and other socioeconomic<br />

and <strong>in</strong>stitutional considerations. Where labor is scarce and <strong>rice</strong> production is higher,<br />

144 Moody et al


herbicides have been reported to be a viable substitute for labor (Heong et al 1995,<br />

Denn<strong>in</strong>g 1983). Traditionally, <strong>farmers</strong> hand weed, but with the availability <strong>of</strong> <strong>in</strong>expensive<br />

herbicides, <strong>farmers</strong> are “pulled” toward becom<strong>in</strong>g herbicide-dependent. For<br />

many <strong>farmers</strong>, herbicides appear to be a more economical means <strong>of</strong> weed control than<br />

hand weed<strong>in</strong>g, result<strong>in</strong>g <strong>in</strong> greater reliance on herbicides. But weed scientists have<br />

cautioned aga<strong>in</strong>st excessive dependence on herbicides by small <strong>farmers</strong> and emphasized<br />

the need to reduce this dependence among <strong>farmers</strong> (Alstrom 1990, Heong et al<br />

1995, Moody 1993). At issue are the residual effects <strong>of</strong> herbicides <strong>in</strong> the soil, health<br />

hazards to <strong>farmers</strong>, the <strong>in</strong>crease <strong>in</strong> unemployment, and undesirable effects on the<br />

environment (Labrada et al 1994, Akobundu 1987, Moody 1993).<br />

Work by anthropologists at <strong>IRRI</strong> suggested that, unlike with <strong>in</strong>sect <strong>management</strong>,<br />

<strong>farmers</strong> are more knowledgeable and <strong>in</strong>novative <strong>in</strong> ways to manage weeds. But the<br />

availability <strong>of</strong> cheap herbicides may have dim<strong>in</strong>ished the importance <strong>of</strong> some <strong>of</strong> the<br />

<strong>in</strong>novative methods. Even <strong>in</strong> herbicide use, <strong>rice</strong> <strong>farmers</strong> had demonstrated vaned application<br />

strategies. For <strong>in</strong>stance, <strong>in</strong> Nueva Ecija, Philipp<strong>in</strong>es, Fajardo and Moody<br />

(1990) reported that <strong>farmers</strong> used herbicide comb<strong>in</strong>ations, sequential herbicide applications,<br />

nonconventional application methods, vary<strong>in</strong>g application times, and different<br />

water <strong>management</strong> strategies.<br />

Hand weed<strong>in</strong>g, although generally regarded as drudgery, has been considered a<br />

vital practice even where herbicides are used, to prevent <strong>in</strong>creases <strong>in</strong> resistant or tolerant<br />

weeds. Even when weed <strong>in</strong>festation is low, hand weed<strong>in</strong>g is recommended to<br />

h<strong>in</strong>der the development <strong>of</strong> weed seeds (Labrada et al 1994).<br />

Despite dramatic <strong>in</strong>creases <strong>in</strong> herbicide use <strong>in</strong> <strong>rice</strong>, crop losses caused by weeds<br />

have not decl<strong>in</strong>ed and may even have <strong>in</strong>creased. Weed problems persist because <strong>of</strong><br />

their tremendous reproductive capacity and recycl<strong>in</strong>g potential, <strong>in</strong>adequate prevention,<br />

ecological shifts, and chang<strong>in</strong>g weed populations (Heong et al 1995).<br />

Farmers perceive and respond to <strong>in</strong>sects, diseases, and weeds differently. In contrast<br />

to the damage done by <strong>in</strong>sects, snails, rodents, and plant diseases, <strong>farmers</strong> tend<br />

to overlook lost productivity from weeds (Doll 1994). Because weeds are so common,<br />

<strong>farmers</strong> <strong>in</strong> many areas may not fully realize the losses they cause and the cost <strong>of</strong><br />

control (Heong et al 1995). As a result, <strong>farmers</strong> fail to recognize the need for adequate<br />

weed <strong>management</strong>.<br />

To be able to design appropriate strategies to improve <strong>farmers</strong>’ weed control practices,<br />

it is necessary to understand their perceptions and practices <strong>in</strong> weed <strong>management</strong>.<br />

On-farm surveys and focus group <strong>in</strong>terviews are aimed at a better understand<strong>in</strong>g<br />

<strong>of</strong> <strong>farmers</strong>’ needs and constra<strong>in</strong>ts, knowledge. attitudes, and practices. Information<br />

on <strong>farmers</strong>’ needs can then be transformed <strong>in</strong>to researchable problems and results<br />

communicated back to <strong>farmers</strong>. Through this process, we can ensure that efforts are<br />

directed at problem-solv<strong>in</strong>g.<br />

In this study, we focused on <strong>rice</strong> <strong>farmers</strong>’ perceptions and practices <strong>in</strong> weed <strong>management</strong>.<br />

The area selected was Iloilo, considered to be the top <strong>rice</strong>-produc<strong>in</strong>g prov<strong>in</strong>ce<br />

<strong>in</strong> the Philipp<strong>in</strong>es, where direct seed<strong>in</strong>g is the predom<strong>in</strong>ant method <strong>of</strong> <strong>rice</strong> establishment.<br />

Weed <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Iloilo, Philipp<strong>in</strong>es 145


lloilo Prov<strong>in</strong>ce<br />

As the second largest prov<strong>in</strong>ce <strong>in</strong> western Visayas, Iloilo occupies the southern portion<br />

<strong>of</strong> Panay Island. Its borders are def<strong>in</strong>ed by Capiz Prov<strong>in</strong>ce to the north, Antique<br />

to the west, Panay Gulf and Iloilo Strait to the southeast. and the Visayan Sea and<br />

Guimaras Island to the east. The prov<strong>in</strong>ce has a total land area <strong>of</strong> 466,340 ha, 243,640<br />

<strong>of</strong> which are cultivated with <strong>rice</strong>.<br />

The topography <strong>of</strong> Iloilo Prov<strong>in</strong>ce varies from flatlands and roll<strong>in</strong>g hills to mounta<strong>in</strong><br />

peaks and ranges. The mounta<strong>in</strong> ranges lie along the border between Iloilo, Antique,<br />

and Capiz and roll down <strong>in</strong>to a flat pla<strong>in</strong> toward the coastal towns. Almost onethird<br />

<strong>of</strong> the prov<strong>in</strong>ce is considered flat. The prov<strong>in</strong>ce has 17 soil types. The soil is<br />

usually fertile and suitable to almost all types <strong>of</strong> agricultural crops. The loam soil is<br />

predom<strong>in</strong>ant and conducive to farm<strong>in</strong>g.<br />

About 150 rivers and creeks traverse the entire prov<strong>in</strong>ce and these have been<br />

identified as possible sources <strong>of</strong> irrigation water. The Jalaur River bas<strong>in</strong>, considered<br />

as the major source <strong>of</strong> irrigation water, records the highest annual flow.<br />

The climate <strong>in</strong> Iloilo has been classified <strong>in</strong>to two types. Type 1 is along the southern<br />

and central part, which has two pronounced seasons. dry from December to May<br />

and wet from June to November. Maximum ra<strong>in</strong> is from June to September. Type 2<br />

can be found along the northern part <strong>of</strong> Iloilo, where the ra<strong>in</strong>fall is evenly distributed<br />

throughout the year.<br />

Methods<br />

To ga<strong>in</strong> some <strong>in</strong>sights <strong>in</strong>to <strong>rice</strong> <strong>farmers</strong>’ weed <strong>management</strong> practices, we made prelim<strong>in</strong>ary<br />

visits to the survey areas <strong>in</strong> coord<strong>in</strong>ation with agricultural and prov<strong>in</strong>cial<br />

government <strong>of</strong>ficials. Dur<strong>in</strong>g farm visits, we conducted <strong>in</strong>terviews with key <strong>in</strong>formants<br />

such as the municipal agricultural <strong>of</strong>ficers, private seed growers, and other<br />

<strong>farmers</strong>.<br />

Questionnaire development and pretest<br />

After a series <strong>of</strong> meet<strong>in</strong>gs, a multidiscipl<strong>in</strong>ary team, composed <strong>of</strong> a weed scientist, an<br />

economist, an entomologist, a plant pathologist, and a communication scientist, developed<br />

a 92-item survey questionnaire on famers’ perceptions and practices <strong>in</strong> weed<br />

<strong>management</strong>. The prototype questionnaire was pretested twice to determ<strong>in</strong>e <strong>farmers</strong>’<br />

reactions to it, to validate the translation <strong>of</strong> key technical terms used, to f<strong>in</strong>d out<br />

whether the technical terms could be understood, to ascerta<strong>in</strong> whether the sequence<br />

<strong>of</strong> the questions could solicit the desired <strong>in</strong>formation, and to estimate the length <strong>of</strong><br />

time required to complete the <strong>in</strong>terview.<br />

Us<strong>in</strong>g the draft questionnaire that had been translated <strong>in</strong>to Hiligaynon, the language<br />

spoken by the majority <strong>in</strong> Iloilo, the pretest <strong>in</strong>volved <strong>in</strong>dividual <strong>in</strong>terviews and<br />

small group discussions with <strong>rice</strong> <strong>farmers</strong> and Department <strong>of</strong> Agriculture technicians.<br />

The pretest generated useful feedback that suggested ways <strong>in</strong> which the questionnaire<br />

could be improved.<br />

146 Moody et al


Sampl<strong>in</strong>g procedure<br />

Multistage sampl<strong>in</strong>g was used to randomly select 300 <strong>rice</strong> <strong>farmers</strong> from Iloilo Prov<strong>in</strong>ce.<br />

The first stage <strong>in</strong>volved a list<strong>in</strong>g <strong>of</strong> <strong>rice</strong>-grow<strong>in</strong>g municipalities <strong>in</strong> the prov<strong>in</strong>ce.<br />

Next, 10 municipalities were selected randomly from this list and, from each municipality,<br />

three villages were selected randomly. F<strong>in</strong>ally, 30 <strong>rice</strong> <strong>farmers</strong> were drawn<br />

randomly from each village. To ensure objectivity, none <strong>of</strong> the survey respondents<br />

had attended season-long IPM tra<strong>in</strong><strong>in</strong>g. The list <strong>of</strong> sample villages was reviewed by<br />

the municipal agricultural <strong>of</strong>ficers (MAOs) to determ<strong>in</strong>e whether a Farmers’ Field<br />

School (FFS) had been conducted <strong>in</strong> those areas. Two municipalities where an FFS<br />

had been conducted recently were replaced. Figure 1 shows the location <strong>of</strong> the survey<br />

areas. N<strong>in</strong>e <strong>of</strong> the ten areas had 30 <strong>farmers</strong> sampled, whereas San Dionisio had 33.<br />

Fig. 1. Location map <strong>of</strong> survey sites <strong>in</strong> lloilo Prov<strong>in</strong>ce, Philipp<strong>in</strong>es.<br />

Weed <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Iloilo, Philipp<strong>in</strong>es 147


Data analysis<br />

The survey data collected were coded and entered <strong>in</strong>to a spreadsheet program us<strong>in</strong>g a<br />

microcomputer. Frequency tables were generated us<strong>in</strong>g the FREQ procedure available<br />

<strong>in</strong> Statistical Analysis System (SAS 1985). Percentages were based on the number<br />

<strong>of</strong> <strong>farmers</strong> who responded rather than the total sample. In cases where multiple<br />

responses were obta<strong>in</strong>ed, either the sample size or the number <strong>of</strong> <strong>farmers</strong> who responded<br />

for a particular item was used.<br />

Results<br />

Sociodemographic pr<strong>of</strong>ile <strong>of</strong> <strong>farmers</strong><br />

Of the 303 <strong>farmers</strong> <strong>in</strong>terviewed, 72.3% were men and 27.7% were women. Almost<br />

half (49.2%) <strong>of</strong> the respondents were lessees, 29% were owner-operators, and 16.8%<br />

were tenants. Four <strong>farmers</strong> were cultivat<strong>in</strong>g <strong>rice</strong> areas that were used as loan collateral.<br />

In terms <strong>of</strong> education, 49.5% <strong>of</strong> the respondents had an elementary education<br />

and 27.1% had completed high school. Some 14.2% went as far as college and 5.3%<br />

attended vocational school. Only 3.9% had no school<strong>in</strong>g.<br />

Information sources<br />

For farm<strong>in</strong>g <strong>in</strong>formation, 55.4% <strong>of</strong> the <strong>farmers</strong> <strong>in</strong>terviewed resorted to the extension<br />

technician, 31.4% <strong>in</strong>dicated that they relied on themselves. and 21.8% turned to their<br />

neighbors and friends. Other farm <strong>in</strong>formation sources mentioned <strong>in</strong>cluded sem<strong>in</strong>ars<br />

and schools (14.2%), the mass media (11.9%), and relatives (6.9%).<br />

In terms <strong>of</strong> pest <strong>management</strong> advice, 75.9% <strong>of</strong> the <strong>farmers</strong> consulted the agricultural<br />

technician, whereas 17.8% sought assistance from their friends and neighbors.<br />

Fewer than 10% relied on their own experience and 3.7% turned to family members.<br />

A few (2%) read <strong>in</strong>structions on pesticide labels and leaflets and 1.3% sought help<br />

from their landowner.<br />

Seed <strong>management</strong><br />

Varieties planted. Although <strong>farmers</strong> reported a wide range <strong>of</strong> <strong>rice</strong> varieties, the majority<br />

planted IR64 for both the first crop (79.2%) and second crop (63.6%). Other <strong>farmers</strong><br />

grew IR36, IR60, and PSBRC10. The popularity <strong>of</strong> IR64 among Iloilo <strong>farmers</strong><br />

reflects the results <strong>of</strong> a recent seed <strong>management</strong> survey <strong>in</strong> Central Luzon (Diaz 1995).<br />

Sources <strong>of</strong> <strong>rice</strong> seeds. Farmers were asked where they obta<strong>in</strong>ed their <strong>rice</strong> seeds <strong>in</strong><br />

1993, the year before the survey. Major sources mentioned by Iloilo <strong>farmers</strong> were<br />

exchang<strong>in</strong>g seeds with other <strong>farmers</strong> and neighbors (38.9%), their own seed stock<br />

(32%), the Gra<strong>in</strong>s Production Enhancement Program (GPEP) <strong>of</strong> the Department <strong>of</strong><br />

Agriculture, private seed growers (15.2%), and the <strong>farmers</strong>’ cooperative.<br />

Seed selection. To have the best seeds, <strong>farmers</strong> chose seeds from a particular<br />

cropp<strong>in</strong>g season. Accord<strong>in</strong>g to <strong>farmers</strong>, seeds from the first crop were <strong>of</strong>ten used to<br />

pay land rent (8.1%) and had been found to have good quality (24.9%), although<br />

other <strong>farmers</strong> (20.7%) likewise judged the seeds from the second crop to have good<br />

quality as well.<br />

148 Moody et al


As <strong>in</strong> the survey <strong>in</strong> Central Luzon (Diaz 1995), many <strong>of</strong> the Iloilo <strong>farmers</strong> (62.2%)<br />

we <strong>in</strong>terviewed changed their seed every year, and 30.4% did so every 2–3 yr. A few<br />

changed their seed once <strong>in</strong> 4–5 yr (0.6%) and the same number replaced their seed<br />

after more than 5 yr (0.6%). Farmers changed seeds <strong>in</strong> their desire to plant a diseaseresistant<br />

variety (31.7%), to <strong>in</strong>crease yield (22.8%), and to simply try other varieties<br />

(24.58).<br />

Seed contam<strong>in</strong>ants. Farmers reported observ<strong>in</strong>g contam<strong>in</strong>ants <strong>in</strong> their <strong>rice</strong> crop.<br />

Among these, <strong>of</strong>f-types were specified by 67.3% <strong>of</strong> the <strong>farmers</strong>, followed by weedy<br />

types (53.8%) and red <strong>rice</strong> (49.2%). When <strong>farmers</strong> found contam<strong>in</strong>ants, they removed<br />

these ma<strong>in</strong>ly by hand rogu<strong>in</strong>g <strong>of</strong>f-types (52.4%), weedy types (49.1%), and red <strong>rice</strong><br />

(51.48). Other methods used <strong>in</strong>cluded chang<strong>in</strong>g seeds, sort<strong>in</strong>g, soak<strong>in</strong>g seeds <strong>in</strong> water,<br />

and dry<strong>in</strong>g seeds. Some 43.4% <strong>of</strong> the <strong>farmers</strong> <strong>in</strong>terviewed did noth<strong>in</strong>g to contam<strong>in</strong>ants<br />

(Table 1).<br />

Weeds <strong>in</strong> <strong>rice</strong>fields<br />

Farmers reported perceiv<strong>in</strong>g several <strong>rice</strong> weeds <strong>in</strong> their <strong>rice</strong>fields. The most commonly<br />

mentioned was Fimbristylis miliacea (L.) Vahl, followed by Ech<strong>in</strong>ochloa crusgalli<br />

(L.) P. Beauv, and Paspalum conjugatum Berg (Table 2). These were also the<br />

Table 1. Farmers’ responses to contam<strong>in</strong>ants found <strong>in</strong> the <strong>rice</strong> crop,<br />

Iloilo, dry season 1995.<br />

Reponses Off-types Weedy types Red <strong>rice</strong><br />

(multiple) (n=204) (n=163) (n=149)<br />

(%)<br />

Changed seeds 8.3 3.7 6.4<br />

Rogued contam<strong>in</strong>ants 52.4 49.1 51.4<br />

Sorted seeds 7.8 3.7 2.1<br />

Soaked seeds <strong>in</strong> water 0.9 1.2<br />

0.0<br />

Dried seeds 0.0<br />

12.3<br />

0.0<br />

Applied herbicide 0.0<br />

2.4<br />

2.1<br />

Did noth<strong>in</strong>g<br />

34.8 58.9 36.4<br />

Table 2. Weeds reported by <strong>farmers</strong> to be present <strong>in</strong> <strong>rice</strong>fields,<br />

Iloilo, dry season 1995.<br />

Weed<br />

Farmers<br />

No. %<br />

Fimbristylis miliacea (L.) Vahl 283 93.4<br />

Ech<strong>in</strong>ochloa crus-galli (L.) P. Beauv. 236 77.9<br />

Paspalum conjugatum Berg. 89 29.4<br />

Cynodon dactylon (L.) Pers. 48 15.8<br />

Ech<strong>in</strong>ochloa colona (L.) L<strong>in</strong>k 43 14.2<br />

Monochoria vag<strong>in</strong>alis (Burm. f.) Presl. 22 7.3<br />

Cyperus iria L.<br />

18 5.9<br />

Panicum repens L.<br />

4 1.3<br />

Ech<strong>in</strong>ochloa oryzoides (Ard.) Fritsch 3 1.0<br />

Sporobolus africanus (Poir.) Rob. & Tourn. 3 1.0<br />

lschaemum rugosum Salisb. 1 0.3<br />

Miscellaneous 32 10.6<br />

Weed <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Iloilo Philipp<strong>in</strong>es 149


major weeds reported by Iloilo <strong>farmers</strong> <strong>in</strong> an earlier farmer survey (Estorn<strong>in</strong>os and<br />

Moody 1982).<br />

Among these weeds, <strong>farmers</strong> found E. crus-galli to be the most destructive. Other<br />

weeds considered destructive were E. colona (L.) L<strong>in</strong>k. Cynodon dactylon (L.) Pers.,<br />

F. miliacea, and Cyperus iria L.<br />

Orig<strong>in</strong> <strong>of</strong> <strong>rice</strong> weeds<br />

Some 63.4% <strong>of</strong> the <strong>farmers</strong> <strong>in</strong>terviewed believed that <strong>rice</strong> weeds were soil-borne<br />

rather than seed-borne. This perception contrasts with that <strong>of</strong> Nueva Ecija <strong>farmers</strong>,<br />

who generally thought that weed seeds from different Ech<strong>in</strong>ochloa species were seedborne<br />

(Fujisaka 1993). Other <strong>farmers</strong> thought that weed seeds were carried by irrigation<br />

water (30%), mixed with <strong>rice</strong> seeds (27.1%), came with fertilizer (8.6%), were<br />

carried by animals (2.6%), were blown <strong>in</strong> by the w<strong>in</strong>d (1.7%), were brought by <strong>in</strong>sects<br />

(1.9%), and were mixed with the haystack (0.3%).<br />

Weed <strong>management</strong><br />

Although <strong>farmers</strong> mentioned a variety <strong>of</strong> control measures. herbicide application was<br />

the dom<strong>in</strong>ant approach, practiced by 94.1% <strong>of</strong> the <strong>farmers</strong>. followed by hand weed<strong>in</strong>g<br />

(76.9%) and water <strong>management</strong> (55.8%). Only a few <strong>farmers</strong> (0.6%) mentioned<br />

plow<strong>in</strong>g.<br />

Herbicide use. In aggregate terms, <strong>farmers</strong> <strong>in</strong>dicated the tim<strong>in</strong>g <strong>of</strong> their herbicide<br />

application. Almost all <strong>of</strong> the <strong>farmers</strong> reported that they applied herbicide at the seedl<strong>in</strong>g<br />

stage, followed by about 25% who treated their crops at the vegetative stage.<br />

Table 3 shows that <strong>farmers</strong> reported mak<strong>in</strong>g a total <strong>of</strong> 422 herbicide treatments. Among<br />

the herbicides reported, pretilachlor was the most commonly used at the seedl<strong>in</strong>g<br />

stage (39.3%), followed by piperophos + 2,4-D (31.2%). At the vegetative stage,<br />

piperophos +2,4-D was the ma<strong>in</strong> herbicide applied (28.9%), followed by 2,4-D (26.3%)<br />

(Table 3). It should be noted that this herbicide use pattern was reported by <strong>farmers</strong> <strong>in</strong><br />

a survey. To verify this, we need to probe us<strong>in</strong>g techniques such as focus group <strong>in</strong>terviews<br />

to solicit further <strong>in</strong>formation from <strong>farmers</strong>.<br />

For herbicide application frequencies, only 5.9% <strong>of</strong> the <strong>farmers</strong> did not apply<br />

any herbicide. The most common frequency was only one treatment <strong>in</strong> the 1995 dry<br />

season (51.2%), whereas 36.6% <strong>of</strong> the <strong>farmers</strong> made two, 4.6% made three, and 1 %<br />

made four treatments.<br />

Water <strong>management</strong>. Some 55.8% <strong>of</strong> the <strong>farmers</strong> applied water <strong>management</strong> to<br />

control weeds. Of these, 52.7% described the method they used as apply<strong>in</strong>g herbicide<br />

on dry soil, then <strong>in</strong>troduc<strong>in</strong>g water a few days later or merely flood<strong>in</strong>g the field (40.2%).<br />

The <strong>in</strong>terval between herbicide application and flood<strong>in</strong>g varied greatly among <strong>farmers</strong>.<br />

Some <strong>farmers</strong> (9.5%) first flooded the field, then dra<strong>in</strong>ed it, and then applied<br />

herbicides and fertilizers. Among those who used water <strong>management</strong>, 92.3% carried<br />

it out at 0–20 d after seed<strong>in</strong>g (DAS). Only a few (7.6%) used water <strong>management</strong> to<br />

control weeds beyond this stage. In the respondents’ households, water <strong>management</strong><br />

was ma<strong>in</strong>ly done by hired labor (61.7%) and the <strong>farmers</strong> themselves (38.6%). Other<br />

150 Moody et al


Table 3. Herbicides applied by <strong>rice</strong> <strong>farmers</strong> at two different crop stages, Iloilo, dry season<br />

1995.<br />

Herbicide applications at each stage<br />

Herbicide Seedl<strong>in</strong>g Vegetative Total<br />

No. % a No. % No. %<br />

Bensulfuron-methyl 1 0.3 0 0.0 1 0.2<br />

Butachlor 41 11.8 4 5.3 45 8.1<br />

Butachlor + propanil 26 7.5 3 4.0 29<br />

7.2<br />

MCPA<br />

8 2.3 13 17.1 21 6.2<br />

Oxadiazon 13 3.8 0 0.0 13 5.5<br />

Piperophos + 2,4-D 108 31.2 22 28.9 130 28.7<br />

Pretilachlor 136 39.3 12 15.8 148 34.7<br />

Thiobencarb + 2,4-D 2 0.6 0 0.0 2 0.5<br />

2,4-D 8 2.3 20 26.3 28 6.5<br />

No answer 3 0.9 2 2.6 5 1.7<br />

Total 346 100.0 76 100.0 422 99.3<br />

Total % 81.9 18.1 100.0<br />

a Percentages for column.<br />

<strong>farmers</strong> said that the spouse (18.8%) and children (18.2%) were responsible for water<br />

<strong>management</strong>.<br />

Hand weed<strong>in</strong>g. Many <strong>farmers</strong> (48.5%) performed their weed<strong>in</strong>g operation at 21–<br />

40 DAS, followed by (37.8%) who did so at 0–20 DAS. A few (5.6%) <strong>in</strong>dicated that<br />

they also weeded their <strong>rice</strong>field >41 DAS. Labor allocation for weed<strong>in</strong>g followed the<br />

pattern for water <strong>management</strong>, with hired labor (78.5%) and the <strong>farmers</strong> themselves<br />

(48.9%) do<strong>in</strong>g most <strong>of</strong> the work. Spouses (25.3%) and children (24.9%) also pitched<br />

<strong>in</strong> with weed<strong>in</strong>g tasks on the respondents’ farms.<br />

Attitudes toward <strong>rice</strong> seeds<br />

As <strong>rice</strong> seeds are relevant to weed <strong>management</strong>, some <strong>in</strong>dications <strong>of</strong> <strong>farmers</strong>’ attitudes<br />

toward <strong>rice</strong> seeds were obta<strong>in</strong>ed by us<strong>in</strong>g an attitude scale, where <strong>farmers</strong> were<br />

asked to <strong>in</strong>dicate their degree <strong>of</strong> agreement or disagreement with a set <strong>of</strong> attitude<br />

statements concern<strong>in</strong>g <strong>rice</strong> seeds.<br />

Seeds from private seed growers do not require additional clean<strong>in</strong>g. By <strong>in</strong>dicat<strong>in</strong>g<br />

disagreement with this statement, 60.4% <strong>of</strong> the <strong>farmers</strong> seemed to be aware that<br />

seeds from private seed growers would still require additional clean<strong>in</strong>g. Only 34.9%<br />

believed otherwise. A few (4.6%) expressed no op<strong>in</strong>ion on this attitude statement.<br />

Injection and contam<strong>in</strong>ants <strong>in</strong> <strong>rice</strong> seeds do not decrease yield. Evidently, a<br />

large proportion <strong>of</strong> the <strong>farmers</strong> (70%) believed that <strong>in</strong>fection and contam<strong>in</strong>ants could<br />

decrease yield. Only 25.7% agreed with this attitude statement. A few (4.3%) had no<br />

op<strong>in</strong>ion.<br />

Seed clean<strong>in</strong>g is a waste <strong>of</strong> time. More than half <strong>of</strong> the respondents (53.1%)<br />

disagreed with this statement, which alludes to the value <strong>of</strong> seed clean<strong>in</strong>g. On the<br />

other hand, 46.2% <strong>of</strong> the <strong>farmers</strong> believed that seed clean<strong>in</strong>g is a waste <strong>of</strong> time.<br />

Weed <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Iloilo, Philipp<strong>in</strong>es 151


W<strong>in</strong>now<strong>in</strong>g removes all <strong>in</strong>fected seeds. As a technique to remove <strong>in</strong>fected seeds,<br />

w<strong>in</strong>now<strong>in</strong>g was considered to have some benefit by only 46.9% <strong>of</strong> the respondents.<br />

Some 47.2% disagreed and 5.9% had no op<strong>in</strong>ion.<br />

Neighbors and friends should exchange seeds among themselves. Most <strong>of</strong> the<br />

<strong>farmers</strong> <strong>in</strong>terviewed (93.1 %) believed <strong>in</strong> seed exchange among neighbors and friends.<br />

Only a few either disagreed (4.3%) or had no op<strong>in</strong>ion (2.6%).<br />

Discussion<br />

Intensification <strong>in</strong> <strong>rice</strong> production and changes <strong>in</strong> plant<strong>in</strong>g method have resulted <strong>in</strong><br />

changes <strong>in</strong> weed populations, the emergence <strong>of</strong> new weed problems (<strong>in</strong>clud<strong>in</strong>g weedy<br />

forms <strong>of</strong> <strong>rice</strong>), and <strong>in</strong>creased herbicide use.<br />

Farmer <strong>in</strong>novations<br />

Most traditional methods <strong>of</strong> weed control were developed through trial-and-error,<br />

natural selection, and keen observation. Maurya (1989) notes that even <strong>in</strong> the absence<br />

<strong>of</strong> on-farm research <strong>in</strong>volv<strong>in</strong>g outsiders, <strong>farmers</strong> regularly <strong>in</strong>novate and select their<br />

own appropriate technologies. When <strong>farmers</strong> are seen as experimenters and <strong>in</strong>novators,<br />

other views also change. More dynamic and flexible research processes build<strong>in</strong>g<br />

on farmer-research <strong>in</strong>teractions and support<strong>in</strong>g <strong>farmers</strong>’ <strong>in</strong>novations become possible<br />

(Rhoades 1989).<br />

Experiment<strong>in</strong>g by <strong>farmers</strong> has long been <strong>in</strong>sufficiently recognized. Farmers are<br />

keen to seek solutions to old and new problems through experimentation (Rhoades<br />

and Bebb<strong>in</strong>gton 1991). Farmers experiment to satisfy curiosity, solve problems, adopt<br />

technology (Rhoades 1989), and improve production practices (Lits<strong>in</strong>ger 1993). Crop<br />

production technology <strong>of</strong> modem <strong>rice</strong> <strong>farmers</strong> is an assimilation <strong>of</strong> traditional practices<br />

<strong>in</strong>to modem farm<strong>in</strong>g (Goodell 1984). Iloilo <strong>farmers</strong> have modified recommended<br />

crop production practices and altered <strong>in</strong>put use (herbicide rates) and application tim<strong>in</strong>g.<br />

Farmers applied a second or third herbicide if the previously applied herbicide<br />

failed to control all the weeds. Apply<strong>in</strong>g piperophos + 2,4-D and pretilachlor at the<br />

vegetative stage is not a recommended practice.<br />

It has been <strong>in</strong>creas<strong>in</strong>gly realized that <strong>farmers</strong> have, through long experience,<br />

evolved many useful practices. It is clear, then, that we should be ready to learn from<br />

<strong>farmers</strong> (Sanghi 1987, cited <strong>in</strong> Gupta 1989). Merely document<strong>in</strong>g farmer practices is<br />

not enough. We have to identify the scientific basis <strong>of</strong> these practices and l<strong>in</strong>k it with<br />

their rationality (Gupta 1989).<br />

Herbicides<br />

Fajardo and Moody (1990) noted that <strong>farmers</strong> <strong>in</strong>novate <strong>in</strong> their approach to chemical<br />

weed control <strong>in</strong> wet-seeded <strong>rice</strong> by us<strong>in</strong>g herbicide comb<strong>in</strong>ations, sequential herbicide<br />

applications, nonconventional application methods, vary<strong>in</strong>g application times,<br />

and different water <strong>management</strong> strategies. Effectiveness was the most important factor<br />

<strong>in</strong> the selection <strong>of</strong> a herbicide, with p<strong>rice</strong> be<strong>in</strong>g the next most important consideration<br />

(Estorn<strong>in</strong>os et al 1995).<br />

152 Moody et al


The press<strong>in</strong>g need to raise yields and ma<strong>in</strong>ta<strong>in</strong> pr<strong>of</strong>its on a progressively limited<br />

land base has paved the way for herbicide use <strong>in</strong> <strong>Asia</strong>n <strong>rice</strong> production. Farmers are<br />

left with little choice but to reduce labor and production costs, particularly for the<br />

most labor-<strong>in</strong>tensive tasks, such as plant<strong>in</strong>g and weed<strong>in</strong>g. As a result, herbicides are<br />

be<strong>in</strong>g substituted widely for manual labor as a method <strong>of</strong> weed control. This trend has<br />

been re<strong>in</strong>forced by the spread <strong>of</strong> direct-seeded <strong>rice</strong>, which requires chemical weed<br />

control <strong>in</strong> the early stages <strong>of</strong> crop growth to prevent substantial losses, and by a decreas<strong>in</strong>g<br />

ability <strong>in</strong> some systems to manage weeds through water control as a consequence<br />

<strong>of</strong> dim<strong>in</strong>ish<strong>in</strong>g water supplies and deteriorat<strong>in</strong>g irrigation structures (Naylor<br />

1994). Labor unavailability, changes <strong>in</strong> crop establishment methods, and economics<br />

are the major forces that drive <strong>farmers</strong> to become herbicide-dependent.<br />

Farmers <strong>in</strong> most countries <strong>in</strong> South and Southeast <strong>Asia</strong> apply herbicides at less<br />

than the recommended rate (Navarez and Moody 1979, Abeyratne et al 1984, van de<br />

Fliert and Matteson 1990). This may be an economic measure, but most claim that<br />

effective weed control is achieved (Navarez and Moody 1979). In addition to credit<br />

constra<strong>in</strong>ts, such a behavior could also be caused by risk aversion (Horowitz and<br />

Lichtenberg 1994). On the other hand, chemical companies may have calculated a<br />

safety marg<strong>in</strong> for <strong>farmers</strong> who use lower amounts <strong>of</strong> herbicide and for those whose<br />

land preparation and water control are less than desirable (Mabbayad and Moody<br />

1992).<br />

In a number <strong>of</strong> experiments conducted at the <strong>International</strong> Rice Research Institute<br />

and <strong>in</strong> <strong>farmers</strong>’ fields <strong>in</strong> the Philipp<strong>in</strong>es, rates <strong>of</strong> application <strong>of</strong> preemergence<br />

herbicides, such as butachlor and pretilachlor + fenclorim, could be reduced by up to<br />

50% <strong>of</strong> those recommended without a loss <strong>in</strong> effectiveness or a reduction <strong>in</strong> crop<br />

yield (Mabbayad and Moody 1985, Cast<strong>in</strong> et a1 1992, Pablico and Moody 1992).<br />

Farmers <strong>in</strong> Iloilo used herbicides alone or <strong>in</strong> comb<strong>in</strong>ation with hand weed<strong>in</strong>g for<br />

weed control. Hand weed<strong>in</strong>g is done after herbicide application to control weeds not<br />

killed by the herbicides, reduce competition, reduce weed seed reserves <strong>in</strong> the soil,<br />

and <strong>in</strong>crease yield. With <strong>in</strong>creases <strong>in</strong> the real wage rate, the p<strong>rice</strong> <strong>of</strong> herbicides has<br />

fallen over time, provid<strong>in</strong>g an <strong>in</strong>centive to use herbicides for weed control <strong>in</strong> wetseeded<br />

<strong>rice</strong> (Pandey 1995). Hand weed<strong>in</strong>g is at least five times more expensive for<br />

weed control <strong>in</strong> wet-seeded <strong>rice</strong> (Moody 1994b). Farmers apply a herbicide aga<strong>in</strong>,<br />

and sometimes make a third application, to obta<strong>in</strong> better weed control and to elim<strong>in</strong>ate<br />

the need for hand weed<strong>in</strong>g (Heong et al 1995). Guyer and Benjam<strong>in</strong> (1983)<br />

reported that piperophos + 2,4-D gave good weed control at any time between transplant<strong>in</strong>g<br />

and 4 wk after transplant<strong>in</strong>g.<br />

In South and Southeast <strong>Asia</strong>, <strong>in</strong> the next decade, weed control methods <strong>in</strong> <strong>rice</strong><br />

will not differ greatly from those <strong>of</strong> today. But the area treated with herbicides will<br />

<strong>in</strong>crease because <strong>of</strong> expanded irrigated area planted to direct-seeded <strong>rice</strong> and an <strong>in</strong>crease<br />

<strong>in</strong> herbicide use <strong>in</strong> less favorable environments. In addition, more effective<br />

herbicides will be used and lower rates will be applied (a shift to herbicides that<br />

require lower application rates for the same effect is already tak<strong>in</strong>g place), result<strong>in</strong>g<br />

<strong>in</strong> a reduction <strong>in</strong> the total amount <strong>of</strong> active <strong>in</strong>gredients applied, although the number<br />

<strong>of</strong> applications per field per year is unlikely to change. More emphasis will be placed<br />

Weed <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Iloilo, Philipp<strong>in</strong>es 153


on less persistent, postemergence herbicides (to allow <strong>farmers</strong> to wait and see the<br />

nature and extent <strong>of</strong> develop<strong>in</strong>g weed problems) (Moody 1994a). Farmers may, however,<br />

opt for prophylactic (preemergence) applications if they believe that<br />

postemergence control is too risky (Pandey and Medd 1990).<br />

As Williams (1992) succ<strong>in</strong>ctly put it, “An axiom that would apply to the use<br />

situation might be ‘as little as possible and as much as necessary.”’ This will require<br />

clear <strong>in</strong>formation on the components <strong>of</strong> the weed flora, the effects <strong>of</strong> certa<strong>in</strong> levels <strong>of</strong><br />

<strong>in</strong>festation on crop performance, and the effectiveness and cost <strong>of</strong> potential means <strong>of</strong><br />

control. The goal will be to reduce rates and frequencies <strong>of</strong> herbicide applications <strong>in</strong><br />

comb<strong>in</strong>ation with other practices to achieve the degree <strong>of</strong> weed control needed. It is<br />

possible to reduce the recommended rate because it is <strong>of</strong>ten based on worst-case situations<br />

for the most-difficult-to-control weed species. If a farmer knows the weed species<br />

<strong>in</strong> his fields and the required rate for controll<strong>in</strong>g each species. then the recommended<br />

rate can <strong>of</strong>ten be lowered without a significant loss <strong>of</strong> effectiveness.<br />

Seed banks<br />

The presence <strong>of</strong> most weed seeds <strong>in</strong> the soil can be expla<strong>in</strong>ed by a comb<strong>in</strong>ation <strong>of</strong><br />

their seed production capacity, longevity characteristics, and species abundance <strong>in</strong><br />

the stand<strong>in</strong>g community (Regnier 1995). In an agricultural context, weed flora is almost<br />

synonymous with seed banks and, <strong>of</strong>ten, the greatest proportion <strong>of</strong> the plant<br />

community is buried as a seed bank (Harper 1977).<br />

On the basis <strong>of</strong> a seed<strong>in</strong>g rate <strong>of</strong> 100 kg ha -1 , <strong>rice</strong> seeds conta<strong>in</strong><strong>in</strong>g 10 weed seeds<br />

per kilogram would result <strong>in</strong> 1,000 weed seed species per hectare. In contrast, Kim<br />

and Mercado (1987) reported that the average number <strong>of</strong> weed seeds <strong>in</strong> the top 15 cm<br />

<strong>of</strong> lowland <strong>rice</strong>fields cropped twice per year was 497,050 m -2 and that <strong>in</strong> fields cropped<br />

three times per year it was 298,520 m -2 . Thus, annual weed populations are ma<strong>in</strong>ta<strong>in</strong>ed<br />

<strong>in</strong> arable fields primarily by their viable seeds <strong>in</strong> the soil (seed bank).<br />

Agricultural land usually carries a large reservoir <strong>of</strong> weed seeds <strong>in</strong> the soil. This<br />

number varies from 600 to 496,000 m -2 , which represents up to 85% <strong>of</strong> the weed<br />

population (Jensen 1969). But only a few species contribute to the bulk <strong>of</strong> the seed<br />

bank (Kropac 1966).<br />

If there are 100 plants m -2 <strong>of</strong> weeds and each plant produces 10,000 seeds, at<br />

harvest there will be 1 million seeds m -2 . To ma<strong>in</strong>ta<strong>in</strong> the <strong>in</strong>festation rate <strong>of</strong> 100 plants<br />

m -2 , a survival rate <strong>of</strong> 0.01 % is needed. Even for plants with a low seed production, a<br />

low survival rate ma<strong>in</strong>ta<strong>in</strong>s the <strong>in</strong>festation (Koch 1974).<br />

If new seeds could be prevented from reach<strong>in</strong>g land with 10,000 seeds m -2 and<br />

50% <strong>of</strong> these seeds were lost annually to germ<strong>in</strong>ation and other causes, after 5 yr<br />

there would still be 313 seeds m -2 . Interest<strong>in</strong>gly, if there were 100,000 seeds m -2 , it<br />

would take only 8 yr to reduce the number <strong>of</strong> seeds to 391 m -2 . If 10% <strong>of</strong> these germ<strong>in</strong>ated<br />

and grew to maturity, and each produced 325 seeds, this would br<strong>in</strong>g back the<br />

number <strong>of</strong> weed seeds <strong>in</strong> the soil to the orig<strong>in</strong>al figure <strong>of</strong> 10,000 m -2 <strong>in</strong> one season.<br />

154 Moody et al


Seed health<br />

Removal <strong>of</strong> weed seeds before maturation to reduce weed problems <strong>in</strong> the follow<strong>in</strong>g<br />

crop (Fajardo and Moody 1995) or to reduce contam<strong>in</strong>ation <strong>of</strong> <strong>rice</strong> seed (Rao and<br />

Moody 1990) is a common practice. To try to ensure seed purity, <strong>farmers</strong> commonly<br />

rogue <strong>of</strong>f-types before harvest. This will alleviate but not totally elim<strong>in</strong>ate the problem.<br />

A further reduction <strong>in</strong> <strong>of</strong>f-types would be expected if they were removed before<br />

pollen shedd<strong>in</strong>g. Ho (1985) reported that a farmer who planted 1.4 ha was able to<br />

reduce Ech<strong>in</strong>ochloa crus-galli weed density from more than 100 panicles m -2 to fewer<br />

than 15 panicles m -2 <strong>in</strong> the subsequent season by spend<strong>in</strong>g about 60 h remov<strong>in</strong>g the<br />

panicles throughout the season.<br />

Weeds that mature and shed seed before the crop tend to spread more slowly and<br />

are more localized than weeds that mature at the same time as the <strong>rice</strong> crop. Early<br />

matur<strong>in</strong>g weeds are spread mostly by the movement <strong>of</strong> equipment and <strong>in</strong> water and<br />

air. Weeds that mature with the crop tend to spread as a contam<strong>in</strong>ant <strong>in</strong> the harvested<br />

crop and <strong>in</strong> subsequently planted seed (Bayer 1991). The ma<strong>in</strong> route for weeds between<br />

<strong>farmers</strong> is probably through contam<strong>in</strong>ated crop seed.<br />

Seed contam<strong>in</strong>ated with weed seeds may <strong>in</strong>troduce new species to a given field<br />

or add to an exist<strong>in</strong>g weed population. If there are 500 weed seeds kg -1 <strong>of</strong> <strong>rice</strong> seed<br />

and the seed<strong>in</strong>g rate is 100 kg ha -1 , 50,000 weed seeds will be planted per hectare.<br />

This is equivalent to 5 weed seeds m -2 . Ech<strong>in</strong>ochloa crus-galli, which is a powerful<br />

competitor with <strong>rice</strong>, requires control at densities <strong>of</strong> 5–10 plants m -2 (Smith 1988).<br />

Weed species <strong>in</strong> upland <strong>rice</strong>fields <strong>in</strong> transmigration areas <strong>in</strong> South Kalimantan<br />

are the same as those <strong>in</strong> rural areas <strong>of</strong> Java, Sumatra, and Kalimantan, Indonesia.<br />

imply<strong>in</strong>g that the weed seeds may have been brought along <strong>in</strong> the plant<strong>in</strong>g materials<br />

carried by the transmigrants (Wirjahardja et al 1979).<br />

Contam<strong>in</strong>ated seed is thought to be responsible for the <strong>in</strong>troduction <strong>of</strong> a number<br />

<strong>of</strong> exotic <strong>rice</strong> weeds <strong>in</strong>to France. Among those proliferat<strong>in</strong>g are Cyperus difformis, C.<br />

eragrostis, L<strong>in</strong>dernia dubia, Ammania cocc<strong>in</strong>ea, Heteranthera limosa, and H.<br />

reniformis. Ech<strong>in</strong>ochloa spp. and red <strong>rice</strong> also cause problems (Jauze<strong>in</strong> 1991).<br />

The use <strong>of</strong> impure <strong>rice</strong> seed is responsible for the rapid spread <strong>of</strong> Ischaemum<br />

rugosum <strong>in</strong> Sur<strong>in</strong>am (Dirven and Poer<strong>in</strong>k 1955) and Ech<strong>in</strong>ochloa crus-galli and E.<br />

colona <strong>in</strong> Malaysia (MARDI 1983).<br />

Red <strong>rice</strong> or <strong>rice</strong> with a red-colored pericarp comes from an <strong>of</strong>f-type that is considered<br />

a weed by <strong>rice</strong> producers and processors. It usually enters a field through<br />

impure seed and then becomes a cont<strong>in</strong>ual problem through volunteer re<strong>in</strong>festation<br />

(USDA 1973).<br />

The advantages <strong>of</strong> us<strong>in</strong>g good-quality seed <strong>in</strong>clude higher yield, ma<strong>in</strong>tenance <strong>of</strong><br />

seed purity (elim<strong>in</strong>ation <strong>of</strong> cultivar mixtures), and higher germ<strong>in</strong>ation percentage,<br />

result<strong>in</strong>g <strong>in</strong> better (more uniform) stand establishment and fewer weed and disease<br />

problems. Farmers <strong>in</strong> Central Luzon, Philipp<strong>in</strong>es, also stated that seedl<strong>in</strong>gs from healthy<br />

seeds competed better with weeds and were more tolerant <strong>of</strong> adverse environments<br />

(Diaz et al 1995). Certified <strong>rice</strong> seed users <strong>in</strong> northern M<strong>in</strong>danao, Philipp<strong>in</strong>es, obta<strong>in</strong>ed<br />

25% more yield than <strong>farmers</strong> who used seed from the previous harvest (Ramos<br />

1987).<br />

Weed <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Iloilo, Philipp<strong>in</strong>es 155


Farmers <strong>in</strong> the Philipp<strong>in</strong>es use a number <strong>of</strong> methods to clean <strong>rice</strong> seed before<br />

plant<strong>in</strong>g (Fajardo and Moody 1995), with the efficiency <strong>of</strong> the method vary<strong>in</strong>g from<br />

farmer to farmer, by method and by contam<strong>in</strong>ant. W<strong>in</strong>now<strong>in</strong>g, which <strong>farmers</strong> believe<br />

to be the most efficient method for remov<strong>in</strong>g contam<strong>in</strong>ants (Diaz et al 1995), is the<br />

most widely used clean<strong>in</strong>g method. Fajardo and Moody (1995), however, reported<br />

that it removed only 58% <strong>of</strong> Ech<strong>in</strong>ochloa glabrescens seeds from contam<strong>in</strong>ated <strong>rice</strong><br />

seed. In contrast, flotation, another popular seed-clean<strong>in</strong>g method, removed 87% <strong>of</strong><br />

the E. glabrescens seeds. A comb<strong>in</strong>ation <strong>of</strong> w<strong>in</strong>now<strong>in</strong>g + flotation was superior to<br />

either method alone, remov<strong>in</strong>g 95% <strong>of</strong> the weed seeds.<br />

By us<strong>in</strong>g comb<strong>in</strong>ations <strong>of</strong> seed-clean<strong>in</strong>g methods, <strong>farmers</strong> can remove most weed<br />

seed contam<strong>in</strong>ants <strong>in</strong> <strong>rice</strong> seed. This will prevent, to a large extent, the perpetuation <strong>of</strong><br />

weeds <strong>in</strong> fields and the <strong>in</strong>troduction <strong>of</strong> new weed species.<br />

The most effective means <strong>of</strong> deal<strong>in</strong>g with weed seed contam<strong>in</strong>ants <strong>in</strong> crop seeds<br />

for plant<strong>in</strong>g are prevention and decontam<strong>in</strong>ation. Rao and Moody (1995) determ<strong>in</strong>ed<br />

the effect <strong>of</strong> soak<strong>in</strong>g <strong>rice</strong> seed contam<strong>in</strong>ated with weed seeds <strong>in</strong> low concentrations <strong>of</strong><br />

herbicide solutions on weed control and <strong>rice</strong> growth. They found that soak<strong>in</strong>g <strong>rice</strong><br />

seed contam<strong>in</strong>ated with I. rugosum <strong>in</strong> 10 ppm <strong>of</strong> butachlor + safener for 24 h resulted<br />

<strong>in</strong> a 98% kill <strong>of</strong> I. rugosum seedl<strong>in</strong>gs without a significant reduction <strong>in</strong> <strong>rice</strong> seedl<strong>in</strong>g<br />

survival. They estimated the cost <strong>of</strong> soak<strong>in</strong>g 100 kg <strong>of</strong> <strong>rice</strong> seed <strong>in</strong> 300 L <strong>of</strong> 10 ppm<br />

butachlor + safener solution to be US$0.08. Peudpaichit et al (1985) and Mabbayad<br />

and Moody (1992) reported that seed treatment with herbicides (bensulfuron-methyl<br />

and pretilachlor + safener) appeared to be a promis<strong>in</strong>g application technique for controll<strong>in</strong>g<br />

weeds <strong>in</strong> wet-seeded <strong>rice</strong>. But possible <strong>in</strong>jurious effects on nontarget organisms<br />

such as the applicator, birds, and soil-<strong>in</strong>hibit<strong>in</strong>g mammals need to be exam<strong>in</strong>ed<br />

carefully.<br />

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Weed <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Iloilo. Philipp<strong>in</strong>es 159


Notes<br />

Authors’ addresses: K. Moody, Agronomy, Plant Physiology, and Agroecology Division, <strong>International</strong><br />

Rice Research Institute (<strong>IRRI</strong>), Los Baños, Philipp<strong>in</strong>es; M.M. Escalada, Department<br />

<strong>of</strong> Development Communication, Visayas State College <strong>of</strong> Agriculture, Baybay, Leyte,<br />

Philipp<strong>in</strong>es; KL Heong, Entomology and Plant Pathology Division, <strong>IRRI</strong>, Los Baños, Philipp<strong>in</strong>es.<br />

Acknowledgments: The authors would like to thank the Swiss Agency for Development and<br />

Cooperation (SDC), through the Rice IPM Network based at <strong>IRRI</strong>, for fund<strong>in</strong>g the farmer<br />

survey reported <strong>in</strong> this paper, Dr. T.W. Mew and Dr. M. Hossa<strong>in</strong> for shar<strong>in</strong>g their expertise,<br />

and our research collaborators for mak<strong>in</strong>g the survey possible.<br />

Citation: Heong KL, Escalada MM, editors. 1997. <strong>Pest</strong> <strong>management</strong> <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong>.<br />

Manila (Philipp<strong>in</strong>es): <strong>International</strong> Rice Research Institute.<br />

160 Moody et al


CHAPTER 11<br />

<strong>Pest</strong> <strong>management</strong> perceptions<br />

and practices <strong>of</strong> <strong>farmers</strong> grow<strong>in</strong>g <strong>rice</strong><br />

and vegetables <strong>in</strong> Nueva Ecija,<br />

Philipp<strong>in</strong>es<br />

K.L. Heong, A.A. Lazaro, and G.W. Norton<br />

<strong>Pest</strong> <strong>management</strong> perceptions and practices <strong>of</strong> <strong>farmers</strong> grow<strong>in</strong>g both<br />

<strong>rice</strong> and vegetables were studied. Results show that <strong>farmers</strong>’ practices,<br />

particularly early season and unnecessary applications <strong>of</strong> <strong>in</strong>secticides,<br />

were similar <strong>in</strong> both <strong>rice</strong> and vegetables. Farmers sprayed<br />

more frequently and used more toxic <strong>in</strong>secticides <strong>in</strong> vegetables, however,<br />

than <strong>in</strong> <strong>rice</strong>. The ma<strong>in</strong> targets <strong>of</strong> <strong>in</strong>secticide sprays <strong>in</strong> both<br />

crops, particularly dur<strong>in</strong>g the early crop stages, were <strong>in</strong>sect pests<br />

caus<strong>in</strong>g leaf damage, and highly toxic compounds were used to control<br />

these pests. Farmers’ practices usually reflected their percep<br />

tions <strong>of</strong> pests and their damage.<br />

Introduction<br />

Farmers’ knowledge, attitudes, and practices <strong>in</strong> manag<strong>in</strong>g <strong>rice</strong> pests have been well<br />

documented. Some <strong>of</strong> this <strong>in</strong>formation is presented <strong>in</strong> the other chapters <strong>in</strong> this book.<br />

But a similar documentation <strong>of</strong> <strong>farmers</strong>’ <strong>management</strong> <strong>of</strong> vegetable pests is m<strong>in</strong>imal.<br />

A general observation is that, <strong>in</strong> vegetables, <strong>farmers</strong> tend to be more pesticide-dependent.<br />

This heavy pesticide use is due partly to the high “cosmetic” value demanded by<br />

consumers, forc<strong>in</strong>g <strong>farmers</strong> to deliver damage-free produce. This market pressure to<br />

produce high-quality farm products encourages vegetable growers to adopt measures<br />

to keep their harvest free from visible <strong>in</strong>sect damage.<br />

In develop<strong>in</strong>g countries, vegetable <strong>farmers</strong> usually have poor technical support.<br />

Consequently, widespread pesticide misuse <strong>in</strong> vegetable farm<strong>in</strong>g has been reported<br />

(Adalla 1990, Adalla and Hoque 1991, Bernardo 1992, Med<strong>in</strong>a 1987, Vos et al 1993,<br />

Tjornhom et al 1996). In <strong>rice</strong> grow<strong>in</strong>g, an analysis showed that more than 80% <strong>of</strong><br />

<strong>in</strong>secticide sprays that <strong>farmers</strong> applied <strong>in</strong> a season could be considered as misuse<br />

(Heong et al 1994b). The ma<strong>in</strong> reasons for such misuse were <strong>farmers</strong>’ misperceptions<br />

<strong>of</strong> pests, their overestimation <strong>of</strong> potential damages and losses (Heong et al 1994a,<br />

Lazaro et al 1993), and attitudes favor<strong>in</strong>g <strong>in</strong>secticide use (Lazaro and Heong 1995).<br />

This knowledge gap, which has made <strong>farmers</strong> victims <strong>of</strong> <strong>in</strong>secticide misuse, is well<br />

161


described by Bentley (1989) for Honduran <strong>farmers</strong> and may well be true for fanners<br />

handl<strong>in</strong>g pest problems <strong>in</strong> general.<br />

<strong>Pest</strong> <strong>management</strong> research <strong>in</strong> the past 30 years has focused on technology generation,<br />

rather than on solv<strong>in</strong>g <strong>farmers</strong>’ problems. The approach has been described<br />

as “technology push.” To solve <strong>farmers</strong>’ problems would require a “<strong>farmers</strong>’ needs<br />

pull” approach (Conway and Barbier 1990). Here, the need to better understand how<br />

<strong>farmers</strong> perceive problems, their beliefs, and factors <strong>in</strong>fluenc<strong>in</strong>g their decisions and<br />

practices is essential. This paper compares the pest <strong>management</strong> knowledge, perceptions,<br />

and practices <strong>of</strong> <strong>farmers</strong> who were grow<strong>in</strong>g both <strong>rice</strong> and vegetables <strong>in</strong> San<br />

Jose, Nueva Ecija, Philipp<strong>in</strong>es. The paper compares the types <strong>of</strong> pesticides used by<br />

the <strong>farmers</strong>, their respective pest targets, and pest <strong>management</strong> decisions <strong>in</strong> the two<br />

crops.<br />

San Jose is a municipality located <strong>in</strong> the prov<strong>in</strong>ce <strong>of</strong> Nueva Ecija, the <strong>rice</strong> bowl <strong>of</strong><br />

the Philipp<strong>in</strong>es. As a pr<strong>in</strong>cipal trad<strong>in</strong>g and commercial center <strong>of</strong> the prov<strong>in</strong>ce, it has a<br />

total land area <strong>of</strong> 18,725 ha, with a population <strong>of</strong> 92,083 (52% males). More than<br />

50% <strong>of</strong> the total land area is agricultural (9,628 ha), with 6,644 ha (69%) irrigated and<br />

2,982 ha (31%) ra<strong>in</strong>fed. In 1990, San Jose had a farmer population <strong>of</strong> 4,800 <strong>in</strong> 38<br />

villages called “barangays.” About 62% <strong>of</strong> the <strong>farmers</strong> <strong>in</strong> San Jose were manag<strong>in</strong>g<br />

farms <strong>of</strong> 1–3 ha. More than two-thirds (68%) <strong>of</strong> the farmlands were rented or leased<br />

and only 22% were fully owned.<br />

Rice is the ma<strong>in</strong> crop <strong>in</strong> San Jose. About 3,380 <strong>farmers</strong>, or 71%, cultivate <strong>rice</strong> <strong>in</strong><br />

irrigated land, whereas the rest produce <strong>rice</strong> <strong>in</strong> the ra<strong>in</strong>fed environment. Other field<br />

crops grown are maize, root crops, legumes (mungbean, peanut, cowpea, and pole<br />

str<strong>in</strong>g beans), vegetables (cabbage, pechay, mustard, lettuce, bittergourd, eggplant,<br />

squash, tomato, patola), and spices (onion, garlic, sweet pepper, and hot pepper).<br />

Most <strong>farmers</strong> <strong>in</strong> San Jose grow two crops per year—<strong>rice</strong> dur<strong>in</strong>g the wet season<br />

and vegetables dur<strong>in</strong>g the dry season. Rice is usually planted <strong>in</strong> June, July, or August,<br />

and vegetables <strong>in</strong> October, November, or December. Sometimes, two vegetable crops<br />

are grown <strong>in</strong> the dry season, with the second crop start<strong>in</strong>g <strong>in</strong> January, February, or<br />

March. Intercropp<strong>in</strong>g is quite common, particularly for those <strong>farmers</strong> who grow more<br />

than one vegetable crop per season. For <strong>in</strong>stance, <strong>rice</strong> is <strong>of</strong>ten compared with eggplant,<br />

which has a 7-mo duration. Farmers’ ma<strong>in</strong> constra<strong>in</strong>t to agricultural production<br />

is the irregular supply <strong>of</strong> water for irrigation, which expla<strong>in</strong>s why most <strong>farmers</strong> grow<br />

vegetables dur<strong>in</strong>g the dry season, as vegetables require less water than <strong>rice</strong>.<br />

Methods<br />

Data on <strong>farmers</strong>’ knowledge, attitudes, and practices <strong>in</strong> manag<strong>in</strong>g pests attack<strong>in</strong>g <strong>rice</strong><br />

and vegetables were gathered through a survey <strong>in</strong> the barangays Tayabo, Santo Tomas,<br />

Abar lst, Kita-Kita, Palest<strong>in</strong>a, and Sibut <strong>in</strong> June 1994. The <strong>farmers</strong> were selected<br />

randomly from the list <strong>of</strong> names obta<strong>in</strong>ed from the local agricultural <strong>of</strong>fice <strong>in</strong> each<br />

barangay. The survey questionnaire was translated <strong>in</strong>to Tagalog, the local language<br />

spoken by the <strong>farmers</strong>, and pretested to determ<strong>in</strong>e whether the respondents could<br />

162 Heong et al


understand it. After pretest<strong>in</strong>g, the f<strong>in</strong>al questionnaire was modified accord<strong>in</strong>gly. Farmer<br />

responses were coded and entered <strong>in</strong> a spreadsheet us<strong>in</strong>g Micros<strong>of</strong>t Excel ® .<br />

In addition to the survey, focus group <strong>in</strong>terviews were also conducted <strong>in</strong> small<br />

farmer groups, where the authors were able to probe for additional answers. A total <strong>of</strong><br />

300 <strong>farmers</strong> were <strong>in</strong>terviewed, but, for this paper, only the data from 230 <strong>farmers</strong> who<br />

grew both <strong>rice</strong> and vegetable crops were used. Cross-tabulations <strong>of</strong> various variables<br />

were generated us<strong>in</strong>g PC SAS to compare <strong>farmers</strong>’ pest <strong>management</strong> perceptions and<br />

practices <strong>in</strong> <strong>rice</strong> and vegetables. The general l<strong>in</strong>ear models procedure <strong>in</strong> SAS (SAS<br />

1985) was used for the analyses <strong>of</strong> variance. For tests <strong>of</strong> association between variables,<br />

we used the Pearson chi-square <strong>in</strong> the frequency procedure <strong>in</strong> SAS.<br />

Results<br />

Background <strong>in</strong>formation<br />

Most <strong>of</strong> the <strong>farmers</strong> <strong>in</strong> the survey area planted modern high-yield<strong>in</strong>g <strong>rice</strong> varieties<br />

dur<strong>in</strong>g the 1993 wet season, followed by vegetables for market dur<strong>in</strong>g the dry season<br />

<strong>of</strong> 1993-94. More than 90% <strong>of</strong> the <strong>farmers</strong> grew onions. Other vegetable crops grown<br />

were tomato, pepper, eggplant, str<strong>in</strong>g beans, garlic, bittergourd, and pechay. Onion<br />

(Allium cepa L<strong>in</strong>d.) was the ma<strong>in</strong> vegetable crop <strong>of</strong> <strong>farmers</strong> who grew more than one<br />

vegetable type per year. This was usually grown for the local market and for <strong>farmers</strong>’<br />

own consumption. Locally known as sibuyas from the Spanish cebolla, it is also the<br />

most important bulb crop and one <strong>of</strong> the most pr<strong>of</strong>itable vegetables <strong>in</strong> the Philipp<strong>in</strong>es.<br />

The <strong>farmers</strong> <strong>in</strong>terviewed usually managed <strong>rice</strong> farms <strong>of</strong> 2 ha or less and grew<br />

vegetables on small plots. Dur<strong>in</strong>g the dry season, <strong>farmers</strong> used small portions <strong>of</strong> their<br />

<strong>rice</strong> farms for vegetables, leav<strong>in</strong>g the rest fallow. Land preparation consisted <strong>of</strong> alternate<br />

plow<strong>in</strong>g and harrow<strong>in</strong>g two to three times after harvest<strong>in</strong>g a <strong>rice</strong> crop. In another<br />

method, without plow<strong>in</strong>g the <strong>rice</strong> straw, weeds are cut close to the ground. For onion,<br />

<strong>farmers</strong> usually start seedl<strong>in</strong>gs on raised beds and later transplant them to the field.<br />

<strong>Pest</strong>icide use<br />

A large proportion <strong>of</strong> the <strong>farmers</strong> used pesticides <strong>in</strong> their <strong>rice</strong> (95%) and vegetable<br />

(97%) production dur<strong>in</strong>g the respective grow<strong>in</strong>g seasons. The total number <strong>of</strong> pesticide<br />

applications <strong>in</strong> one season was higher <strong>in</strong> vegetables, with an average <strong>of</strong> 5.3 (SD<br />

= 3.82) sprays per farmer per season compared with an average <strong>of</strong> 3.3 (SD = 1.71)<br />

sprays for <strong>rice</strong>. Nearly all pesticide applications were <strong>in</strong>secticides (Table 1).<br />

Spray frequency distributions <strong>in</strong> the two crops were also different (Fig. 1). Most<br />

<strong>farmers</strong> used 3 applications <strong>in</strong> each crop, but 26% applied more than 6 sprays <strong>in</strong><br />

vegetables compared with only 3% <strong>of</strong> the <strong>farmers</strong> who applied more than 6 <strong>in</strong> <strong>rice</strong>.<br />

Farmers’ spray frequencies <strong>in</strong> <strong>rice</strong> were significantly related to their spray frequencies<br />

<strong>in</strong> vegetables (Pearson c = 21.25, probability = 0.012), imply<strong>in</strong>g that <strong>farmers</strong><br />

who used more sprays <strong>in</strong> <strong>rice</strong> tended to use more sprays <strong>in</strong> vegetables as well.<br />

Many <strong>farmers</strong> <strong>in</strong>terviewed were us<strong>in</strong>g methyl parathion, monocrotophos, endosulfan,<br />

and cypermethr<strong>in</strong> <strong>in</strong> both <strong>rice</strong> and vegetables (Table 2). About 47% <strong>of</strong> the <strong>farmers</strong><br />

used methyl parathion, a WHO category Ia <strong>in</strong>secticide (Table 3), on vegetables, whereas<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>farmers</strong> <strong>in</strong> Nueva Ecija, Philipp<strong>in</strong>es 163


Table 1. Comparison <strong>of</strong> pesticide applications <strong>of</strong> <strong>farmers</strong> grow<strong>in</strong>g<br />

<strong>rice</strong> and vegetables <strong>in</strong> San Jose, Nueva Ecija, Philipp<strong>in</strong>es,<br />

June 1994.<br />

<strong>Pest</strong>icide applications Rice Vegetables<br />

Total number <strong>of</strong> sprays 762 1,201<br />

<strong>in</strong> one season<br />

Farmers who sprayed 94.8 97.4<br />

last season (%)<br />

Mean number <strong>of</strong> sprays per 3.3 5.3<br />

farmer per season<br />

Insecticides (%) 99.5 98.3<br />

Fungicides (%) 0.4 1.5<br />

Herbicides (%) 0.1 0.2<br />

Fig. 1. Distribution <strong>of</strong> <strong>farmers</strong>’s spray frequencies <strong>in</strong> <strong>rice</strong> and vegetables, San Jose.<br />

28% used it on <strong>rice</strong>. More <strong>farmers</strong> used monocrotophos (53%) and endosulfan (50%)<br />

on <strong>rice</strong> than on vegetables (33% and 31%). Fewer <strong>farmers</strong> used carbamates, except<br />

for methomyl, which was used by 10% and 8% <strong>of</strong> the <strong>farmers</strong> <strong>in</strong> <strong>rice</strong> and vegetables,<br />

respectively. Methomyl is another highly toxic chemical (classified as WHO category<br />

Ib). More <strong>farmers</strong> used pyrethroid <strong>in</strong>secticides <strong>in</strong> <strong>rice</strong> than <strong>in</strong> vegetables. The most<br />

popular chemical was cypermethr<strong>in</strong>, used by 53% <strong>of</strong> the <strong>farmers</strong> <strong>in</strong> <strong>rice</strong> and 46% <strong>in</strong><br />

vegetables.<br />

164 Heong et al


Table 2. Insecticides used by <strong>farmers</strong> a <strong>in</strong> <strong>rice</strong> and vegetables, San Jose, Philipp<strong>in</strong>es.<br />

Insecticides<br />

Rice<br />

WHO<br />

category b No. %<br />

Vegetables<br />

No. %<br />

Organochlor<strong>in</strong>es<br />

Endosulfan II 108 49.5 69 30.8<br />

Endr<strong>in</strong> la 1 0.5 0 0.0<br />

DDT II 0 0.0 1 0.5<br />

Organophosphates<br />

Monocrotophos Ib 116 53.2 75 33.5<br />

Diaz<strong>in</strong>on II 1 0.5 1 0.5<br />

Az<strong>in</strong>phos-ethyl Ib 7 3.2 7<br />

3.1<br />

Methamidophos Ib 1 0.5 1<br />

0.5<br />

Malathion III 4 1.8 15 6.7<br />

Methyl parathion la 61 28.0 106 47.3<br />

Pr<strong>of</strong>en<strong>of</strong>os II 1 0.5 2 0.9<br />

Chlorpyrifos II 8 3.7 4 1.8<br />

Chlorpyrifos + fenobucarb - 10 4.6 7 3.1<br />

Az<strong>in</strong>phos + ethyl + fenobucarb - 1 0.5 0 0.0<br />

Carbamates<br />

Carb<strong>of</strong>uran Ib 10 4.6 6 2.7<br />

Carbaryl II 1 0.5 12<br />

5.4<br />

Methomyl<br />

Ib 21 9.6 19 8.5<br />

lsoprocarb II 2 0.9 0<br />

0.0<br />

Fenobucarb II 2 0.9 0<br />

0.0<br />

Pyrethroids<br />

Deltamethr<strong>in</strong> II 32 14.7 53<br />

Cypermethr<strong>in</strong> II 115 52.8 103<br />

Lambda cyhalothr<strong>in</strong><br />

-<br />

21 9.6 10<br />

Fenvalerete II 0 0.0 1<br />

23.7<br />

46.0<br />

4.5<br />

0.5<br />

Others<br />

Eth<strong>of</strong>enprox - 2 0.9 1<br />

0.5<br />

Bupr<strong>of</strong>ez<strong>in</strong> V 1 0.5 0 0.0<br />

Farmers who sprayed (no.) 2 18 224<br />

a Multiple responses. Farmers may have used more than one Insecticide.<br />

b la = extremely hazardous; Ib = highly<br />

hazardous; II = moderately hazardous; III = slightly hazardous; V = unlikely to present acute hazard <strong>in</strong> normal<br />

use; - = unclassified.<br />

Source: CIRAD 1991.<br />

Table 3. Classification <strong>of</strong> <strong>in</strong>secticides used by <strong>farmers</strong> a <strong>in</strong> <strong>rice</strong> and vegetables,<br />

San Jose, Philipp<strong>in</strong>es.<br />

WHO classification<br />

by health hazard<br />

Rice<br />

Vegetables<br />

No. % No. %<br />

la: Extremely hazardous 62 28.4 106 47.3<br />

Ib: Highly hazardous 123 56.4 84 37.5<br />

II: Moderately hazardous 182 83.5 160<br />

71.4<br />

III: Slightly hazardous 4 1.8 15<br />

6.7<br />

V: Unlikely to present acute hazard 1 0.5 0 0.0<br />

<strong>in</strong> normal use<br />

Unclassified 34 15.6 18 8.0<br />

Farmers who sprayed (no.) 218 224<br />

a Multiple responses. Farmers may have used more than one type <strong>of</strong> <strong>in</strong>secticide.<br />

Source: ClRAD 1991.<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>farmers</strong> <strong>in</strong> Nueva Ecija, Philipp<strong>in</strong>es 165


The correlation <strong>of</strong> the ranks <strong>of</strong> percentage data <strong>in</strong> Table 2 was highly significant<br />

(r = 0.789, P = .0001) us<strong>in</strong>g Spearman’s rank-order correlation, <strong>in</strong>dicat<strong>in</strong>g a strong<br />

l<strong>in</strong>ear relationship. This <strong>in</strong>dicates that the proportion <strong>of</strong> <strong>farmers</strong> us<strong>in</strong>g each <strong>in</strong>secticide<br />

was more or less the same <strong>in</strong> both <strong>rice</strong> and vegetables.<br />

Spray targets <strong>of</strong> <strong>farmers</strong><br />

The most common spray targets <strong>in</strong> <strong>rice</strong> were “worms” (33% <strong>of</strong> sprays), followed by<br />

stem borers (20%), hoppers (15%), and <strong>rice</strong> bugs (11%) (Table 4). Worms, or uod <strong>in</strong><br />

Tagalog, was the generic word used to describe lepidopterous species, such as the<br />

leaffolders Cnaphalocrocis med<strong>in</strong>alis, Nymphula depunctalis, Spodoptera spp.,<br />

Nuranga aenescens, and Pelopidas mathias. These were also the primary targets <strong>of</strong><br />

<strong>farmers</strong>’ applications dur<strong>in</strong>g the early crop stages (seedl<strong>in</strong>g and tiller<strong>in</strong>g). At the flower<strong>in</strong>g,<br />

milk<strong>in</strong>g, and s<strong>of</strong>t dough stages, <strong>rice</strong> bugs were the ma<strong>in</strong> targets. The ma<strong>in</strong><br />

Table 4. Target pests <strong>of</strong> <strong>rice</strong> and vegetables <strong>in</strong> San Jose, Philipp<strong>in</strong>es.<br />

Target pests Sprays on <strong>rice</strong> Sprays on vegetables<br />

and diseases<br />

No. % No. %<br />

Worms 284 33.3 369 47.8<br />

Stem borers 173 20.3 4 0.5<br />

Hoppers 125 14.7 12 1.5<br />

(mostly planthoppers)<br />

Rice bugs 91 10.7 7 0.9<br />

Moths 81 9.5 10 1.3<br />

Golden apple snail 38 4.4 1 0.1<br />

Thrips 15 1.7 331 42.9<br />

Tungro 10 1.2 3 0.4<br />

Mosquito 7 0.8 4 0.5<br />

Fungi 4 0.5 2 0.3<br />

Ladybird beetle 4 0.5 2 0.3<br />

Mole cricket 3 0.3 2 0.3<br />

Whorl maggot 2 0.2 1 0.1<br />

Ants 2 0.2 11 1.4<br />

Grasshopper/locust 5 0.6 -<br />

Caseworm 4 0.5 -<br />

Leaffolder 2 0.2 -<br />

Hopperburn 1 0.1 -<br />

Rats 1 0.1 -<br />

Bullfrog 1 0.1 -<br />

Dump<strong>in</strong>g <strong>of</strong>f - 5 0.6<br />

Bulb rot - 3 0.4<br />

Aphids - 2 0.3<br />

Weeds -<br />

1 0.1<br />

166 Heong et al


chemical compounds used by <strong>farmers</strong> for <strong>rice</strong> bugs were monocrotophos, cypermethr<strong>in</strong>,<br />

and endosulfan.<br />

For vegetables, worms (48%) and thrips (43%) were the ma<strong>in</strong> pest targets <strong>of</strong><br />

<strong>in</strong>secticide sprays (Table 4). These sprays were used throughout the vegetable grow<strong>in</strong>g<br />

season. Worms <strong>in</strong> onions were generally Spodoptera litura, whereas other vegetables<br />

had a variety <strong>of</strong> lepidopterous species. At the leafy stage, thrips were more<br />

commonly sprayed. The most common compounds used to control these pests were<br />

cypermethr<strong>in</strong>, methyl parathion, and endosulfan.<br />

For both crops, worms had been <strong>farmers</strong>’ ma<strong>in</strong> <strong>in</strong>secticide targets, although the<br />

pest species were different. In <strong>rice</strong>, the ma<strong>in</strong> species <strong>farmers</strong> referred to as worms was<br />

the <strong>rice</strong> leaffolder, C. med<strong>in</strong>alis, whereas <strong>in</strong> vegetables the species was S. litura.<br />

Insecticide use perceptions<br />

Nearly all the <strong>farmers</strong> <strong>in</strong>terviewed believed that it was necessary to use chemicals to<br />

control pests <strong>in</strong> both <strong>rice</strong> (97%) and vegetables (98%). Many <strong>farmers</strong> (67% <strong>in</strong> <strong>rice</strong><br />

and 52% <strong>in</strong> vegetables) believed that early season sprays with<strong>in</strong> the first 4 wk after<br />

crop establishment were necessary. In some cases, control decisions (32% <strong>in</strong> <strong>rice</strong> and<br />

27% <strong>in</strong> vegetables) depended on damage signs. Most <strong>farmers</strong> (96% <strong>in</strong> <strong>rice</strong> and 98% <strong>in</strong><br />

vegetables) also believed that <strong>in</strong>secticide use would <strong>in</strong>crease crop yields and disagreed<br />

(86% <strong>in</strong> <strong>rice</strong> and 89% <strong>in</strong> vegetables) that <strong>in</strong>secticides could <strong>in</strong>duce the development<br />

<strong>of</strong> other pests.<br />

The crop yields <strong>of</strong> <strong>farmers</strong> who sprayed with<strong>in</strong> the first month after crop establishment<br />

were compared with yields <strong>of</strong> those who sprayed late (after the first month).<br />

In addition, yields <strong>of</strong> <strong>farmers</strong> who sprayed frequently (more than 3 times) were compared<br />

with those who did not for both <strong>rice</strong> and vegetables separately. Yields <strong>in</strong> all<br />

cases for both vegetables and <strong>rice</strong> were not significantly different (early spray<strong>in</strong>g <strong>in</strong><br />

<strong>rice</strong>: F = 0.88, P = 0.52; frequent spray<strong>in</strong>g <strong>in</strong> <strong>rice</strong>: F = 0.72, P = 0.71; early spray<strong>in</strong>g<br />

<strong>in</strong> vegetables: F = 0.94, P = 0.48; frequent spray<strong>in</strong>g <strong>in</strong> vegetables: F = 0.88. P = 0.59).<br />

This implies that <strong>farmers</strong> who sprayed early did not necessarily obta<strong>in</strong> higher yields<br />

than those who sprayed late (after the first month), and those <strong>farmers</strong> who sprayed<br />

more than 3 times did not obta<strong>in</strong> higher yields than those who sprayed less, <strong>in</strong> vegetables<br />

as well as <strong>in</strong> <strong>rice</strong> production.<br />

Discussion<br />

Farmers’ pest <strong>management</strong> perceptions and practices for both <strong>rice</strong> and vegetables <strong>in</strong><br />

San Jose appeared to be similar. Insect pests seem to be their primary concern as<br />

illustrated by the high proportions <strong>of</strong> <strong>in</strong>secticide sprays used <strong>in</strong> a season. Farmers<br />

differ, however, <strong>in</strong> the number <strong>of</strong> sprays used. For <strong>rice</strong>, <strong>farmers</strong> usually used 3 sprays,<br />

whereas they used 5 for vegetables. This may reflect differences <strong>in</strong> crop values as<br />

well as degrees <strong>of</strong> pest <strong>in</strong>festations. The types <strong>of</strong> compounds used were also similar.<br />

The ma<strong>in</strong> chemicals used were cypermethr<strong>in</strong>, methyl parathion, monocrotophos, and<br />

endosulfan. The last three chemicals had been banned and placed under restricted use<br />

by the Fertilizer and <strong>Pest</strong>icide Authority (FPA) <strong>of</strong> the Philipp<strong>in</strong>es <strong>in</strong> June 1994, but<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>farmers</strong> <strong>in</strong> Nueva Ecija, Philipp<strong>in</strong>es 167


they were still used by most <strong>farmers</strong> <strong>in</strong> <strong>rice</strong> and vegetables. This situation was also<br />

similar to that found <strong>in</strong> Leyte <strong>in</strong> 1991 (Heong et al 1994a).<br />

In <strong>rice</strong>, worms, stem borers, and planthoppers were the common pests targeted by<br />

<strong>farmers</strong>, whereas <strong>in</strong> vegetables worms and thrips were the ma<strong>in</strong> pests. Because damage<br />

caused by these <strong>in</strong>sects tends to be highly visible to <strong>farmers</strong>, this might have<br />

stimulated decisions to spray. Uod was the generic name <strong>farmers</strong> used for most leaffeed<strong>in</strong>g<br />

lepidopterous larvae, and these were the prom<strong>in</strong>ent targets <strong>of</strong> <strong>in</strong>secticide sprays<br />

dur<strong>in</strong>g the seedl<strong>in</strong>g and vegetative stages <strong>in</strong> both <strong>rice</strong> and vegetables. In <strong>rice</strong>, these<br />

worms were ma<strong>in</strong>ly leaffolders, cutworms, caseworms, and stem borers, whereas <strong>in</strong><br />

vegetables they were the onion maggot, Delia antiqua, and cutworm, S. litura. Farmers<br />

<strong>of</strong>ten attributed leaf damage, whether visible or not, to worms. Some <strong>of</strong> these<br />

damage symptoms may well be caused by onion nematodes.<br />

A common vegetable pest <strong>farmers</strong> target for their sprays is thrips (Thrips tabaci<br />

L<strong>in</strong>deman), a species found on many crops such as onion, tomato, eggplant, and cucumber.<br />

Adults and nymphs cause damage by suck<strong>in</strong>g the plant sap from younger<br />

leaves <strong>in</strong> the grow<strong>in</strong>g plants, caus<strong>in</strong>g silvery shoots. When damage is severe, the entire<br />

field may become silver-colored. Thrips tend to be most damag<strong>in</strong>g when they feed<br />

dur<strong>in</strong>g the early bulb<strong>in</strong>g stage <strong>of</strong> the onion crop. High populations <strong>of</strong> thrips have been<br />

reported to reduce both yield and quality <strong>of</strong> onions and <strong>farmers</strong> tended to believe that<br />

<strong>in</strong>secticide treatments were always necessary. But there is <strong>in</strong>sufficient research quantify<strong>in</strong>g<br />

pest-yield relationships, which can be used to help develop a control strategy.<br />

Onion crops <strong>of</strong>ten recover from thrips <strong>in</strong>jury without the aid <strong>of</strong> <strong>in</strong>secticides. Farmers<br />

<strong>in</strong> San Jose ma<strong>in</strong>ly used methyl parathion and cypermethr<strong>in</strong> to control thrips.<br />

<strong>Pest</strong> damages most visible to <strong>farmers</strong> were those made on the leaves <strong>of</strong> the crop.<br />

Farmers would <strong>of</strong>ten attribute low yields to such damage symptoms. In <strong>rice</strong>, plants<br />

can compensate for foliar damage and yields are unaffected (Miyashita 1985, Rubia et<br />

al 1996). Because <strong>farmers</strong>’ control decisions <strong>in</strong> most cases are based on perceived<br />

rather than real losses, there is a high tendency to overestimate losses (Lazaro et al<br />

1993). When these perceptions prevail, many <strong>of</strong> the spray decisions <strong>farmers</strong> make<br />

may not result <strong>in</strong> any economic ga<strong>in</strong>. Farmers’ responses to pests <strong>in</strong> both <strong>rice</strong> and<br />

vegetables are clearly due to extreme risk aversion. Part <strong>of</strong> the problem comes from<br />

the huge knowledge gap exist<strong>in</strong>g between what <strong>farmers</strong> need to know and what they<br />

presently know about pest <strong>management</strong>. This knowledge gap appears to be even greater<br />

for vegetable production. This could account for similarities between <strong>in</strong>secticide use<br />

patterns by <strong>farmers</strong> <strong>in</strong> the two crops.<br />

Farmers perceived that <strong>in</strong>secticides are necessary to ma<strong>in</strong>ta<strong>in</strong> a healthy crop and<br />

to obta<strong>in</strong> high yields. Our analyses, however, showed no relationship between tim<strong>in</strong>g<br />

<strong>of</strong> sprays and yield, or between frequency <strong>of</strong> applications and yield. Because spray<br />

applications had not significantly <strong>in</strong>creased <strong>farmers</strong>’ crop yields, economic returns<br />

from their spray<strong>in</strong>g seem questionable. Us<strong>in</strong>g a logit analysis to assess socioeconomic<br />

factors that <strong>in</strong>fluence pesticide misuse on vegetables <strong>in</strong> San Jose, Tjornhom et al (1997)<br />

found that <strong>in</strong>creased misuse is associated with visits by chemical company representatives<br />

or by Department <strong>of</strong> Agriculture technicians.<br />

168 Heong et al


Improv<strong>in</strong>g <strong>farmers</strong>’ knowledge <strong>of</strong> pests and natural enemies <strong>of</strong> <strong>rice</strong> and vegetable<br />

crops through tra<strong>in</strong><strong>in</strong>g may help <strong>farmers</strong> make better <strong>management</strong> decisions. if<br />

the knowledge is applied. Another approach is to aim at chang<strong>in</strong>g <strong>farmers</strong>’ perceptions<br />

<strong>of</strong> pests, their damages, and <strong>in</strong>secticide use. The prevail<strong>in</strong>g perceptions are that<br />

highly visible pests are damag<strong>in</strong>g and that leaf damage would lead to significant yield<br />

losses, that <strong>in</strong>secticides are essential <strong>in</strong>puts to obta<strong>in</strong> high yields, that <strong>in</strong>secticides<br />

need to be applied at the early crop stages, that the highly toxic chemicals are more<br />

effective <strong>in</strong> controll<strong>in</strong>g pests, and that early and more frequent <strong>in</strong>secticide applications<br />

would lead to higher yields. In <strong>rice</strong>, farmer experiments successfully changed<br />

<strong>farmers</strong>’ perceptions and practices regard<strong>in</strong>g <strong>rice</strong> leaffolders (Heong and Escalada<br />

1997). Such farmer participatory approaches should be explored to enhance decision<br />

mak<strong>in</strong>g <strong>in</strong> vegetable grow<strong>in</strong>g as well.<br />

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and pesticide misuse <strong>in</strong> Philipp<strong>in</strong>e onion production. Philip. Entomol. 11:139-149.<br />

Vos JGM, Nurtika N, Sumarni N. 1993. An exploratory survey on <strong>farmers</strong>’ practices and <strong>management</strong><br />

<strong>of</strong> hot pepper (Capsicum spp.) <strong>in</strong> Java, Indonesia. J. Plant Protect. Trop. 10:91-<br />

109.<br />

Notes<br />

Authors’ addresses: K.L. Heong and A.A. Lazaro, Entomology and Plant Pathology Division,<br />

<strong>International</strong> Rice Research Institute, P.O. Box 933, 1099 Manila, Philipp<strong>in</strong>es. G.W. Norton,<br />

Department <strong>of</strong> Agricultural and Applied Economics, Virg<strong>in</strong>ia Polytechnic Institute and<br />

State University, Blacksburg, VA 24061, USA.<br />

Acknowledgments: The authors wish to thank the Integrated <strong>Pest</strong> Management Collaborative<br />

Research Support Program (IPM CRSP, USAID Grant # LAG-G-00-93-0053-00) for support<strong>in</strong>g<br />

the basel<strong>in</strong>e survey, which was coord<strong>in</strong>ated by the Philipp<strong>in</strong>e Rice Research Institute<br />

(PhilRice) <strong>in</strong> Muñoz, Nueva Ecija, and the <strong>International</strong> Rice Research Institute (<strong>IRRI</strong>)<br />

<strong>in</strong> Los Baños, Philipp<strong>in</strong>es. In particular, we are grateful to Dr. Santiago R. Obien, director<br />

general <strong>of</strong> PhilRice, and Dr. Vic Gapud, IPM CRSP project coord<strong>in</strong>ator, for provid<strong>in</strong>g the<br />

personnel to assist <strong>in</strong> the survey. We are also very grateful to Mr. Bernard Canapi for his<br />

important contribution to this research, the students who helped us <strong>in</strong>terview the <strong>farmers</strong>,<br />

and the <strong>farmers</strong> who gave us their time.<br />

Citation: Heong KL, Escalada MM, editors. 1997. <strong>Pest</strong> <strong>management</strong> <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong>.<br />

Manila (Philipp<strong>in</strong>es): <strong>International</strong> Rice Research Institute.<br />

170 Heong et al


CHAPTER 12<br />

<strong>Pest</strong> <strong>management</strong> practices<br />

<strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Sri Lanka<br />

L. Nugaliyadde, T. Hidaka, and M.P. Dhanapala<br />

Nearly 330 <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> seven adm<strong>in</strong>istrative districts <strong>of</strong> Sri Lanka<br />

were <strong>in</strong>terviewed to determ<strong>in</strong>e their pest <strong>management</strong> practices and<br />

knowledge <strong>of</strong> <strong>in</strong>sect pests and natural enemies. Most <strong>of</strong> the <strong>farmers</strong><br />

(95%) were unaware <strong>of</strong> the pest-resistant characteristics <strong>of</strong> commonly<br />

grown <strong>rice</strong> varieties.<br />

Dur<strong>in</strong>g the ma<strong>in</strong> season (October to March) <strong>of</strong> 1995-96, 79% <strong>of</strong><br />

the <strong>farmers</strong> reported <strong>in</strong>festations <strong>of</strong> the follow<strong>in</strong>g <strong>in</strong>sect pests:<br />

leaffolder (22%), <strong>rice</strong> bug (17%), brown planthopper (16%), stem<br />

borer (14%), thrips (5%), cutworm (5%), gall midge (4%), and armyworm<br />

(4%). Most <strong>farmers</strong> (86%) applied <strong>in</strong>secticides to control these<br />

pests, 7% did noth<strong>in</strong>g, and the rest used traditional methods. Farmers<br />

applied <strong>in</strong>secticides an average <strong>of</strong> 1.2 times per season, <strong>of</strong> which<br />

83% were to control pests <strong>in</strong>stead <strong>of</strong> prevent<strong>in</strong>g <strong>in</strong>festations. Some<br />

42% <strong>of</strong> the <strong>in</strong>secticide applications were made at the seedl<strong>in</strong>g stage<br />

and 40% at the vegetative stage. The most commonly used <strong>in</strong>secticides<br />

were carb<strong>of</strong>uran (10%), chlorpyrifos (7%), phenthoate (7%),<br />

and monocrotophos (5%).<br />

Most <strong>of</strong> the <strong>farmers</strong> (92%) believed that leaf-feed<strong>in</strong>g <strong>in</strong>sects<br />

would cause damage to <strong>rice</strong> and 61% thought that spray<strong>in</strong>g should<br />

be done early to avoid severe crop losses. Although 82% <strong>of</strong> the <strong>farmers</strong><br />

knew the natural enemies <strong>of</strong> <strong>rice</strong> pests, only 17% knew their role<br />

<strong>in</strong> the <strong>rice</strong> ecosystem.<br />

Introduction<br />

Rice <strong>in</strong> Sri Lanka<br />

As the staple food <strong>in</strong> Sri Lanka, <strong>rice</strong> is the most important food crop <strong>in</strong> the country. It<br />

is also the livelihood <strong>of</strong> more than 1.8 million farm families, and more than 30% <strong>of</strong><br />

the total labor force is directly or <strong>in</strong>directly <strong>in</strong>volved <strong>in</strong> the <strong>rice</strong> sector. From 1991 to<br />

1995, the average annual rough <strong>rice</strong> production was about 2.24 million t. At the present<br />

consumption rate for <strong>rice</strong> (100 kg capita -1 yr -1 ), Sri Lanka would require about 3.5<br />

million t <strong>of</strong> <strong>rice</strong> to feed its population <strong>of</strong> about 20 million <strong>in</strong> the year 2000 (DOASL<br />

171


1995a). Because Sri Lanka is reach<strong>in</strong>g a stage at which further expansion <strong>in</strong> <strong>rice</strong> area<br />

will not be possible, the alternative is to give more emphasis to <strong>in</strong>creas<strong>in</strong>g the production<br />

potential per unit area <strong>of</strong> land and f<strong>in</strong>d<strong>in</strong>g ways to achieve this on-farm through<br />

appropriate technology (DOASL 1995b).<br />

The ma<strong>in</strong> problems now fac<strong>in</strong>g the <strong>rice</strong> sector are low and stagnat<strong>in</strong>g yield (3.2 t<br />

ha -1 ), escalat<strong>in</strong>g production costs ($175 t -1 rough <strong>rice</strong>), dim<strong>in</strong>ish<strong>in</strong>g pr<strong>of</strong>itability ($12.50<br />

month -1 irrigated ha -1 ), poor gra<strong>in</strong> quality, and the high market p<strong>rice</strong> <strong>of</strong> polished <strong>rice</strong><br />

($0.30–0.46 kg -1 ) (DOASL 1995a). The <strong>in</strong>creas<strong>in</strong>g p<strong>rice</strong>s <strong>of</strong> <strong>in</strong>organic fertilizers, <strong>in</strong>creas<strong>in</strong>g<br />

labor costs, and the decl<strong>in</strong><strong>in</strong>g labor force for <strong>rice</strong> cultivation had a negative<br />

effect on the number <strong>of</strong> <strong>farmers</strong> us<strong>in</strong>g improved crop <strong>management</strong> practices. A need<br />

has therefore arisen to undertake detailed <strong>in</strong>vestigations on biological and socioeconomic<br />

constra<strong>in</strong>ts to <strong>rice</strong> production to susta<strong>in</strong> the ga<strong>in</strong>s that have been achieved and<br />

to meet the challenges <strong>of</strong> decl<strong>in</strong><strong>in</strong>g productivity and pr<strong>of</strong>itability <strong>in</strong> <strong>rice</strong> (DOASL<br />

1995b). The government therefore developed a comprehensive plan to <strong>in</strong>tensify research<br />

and development efforts to: (1) reduce the cost <strong>of</strong> production (below $100 t -1 <strong>of</strong><br />

rough <strong>rice</strong>), (2) ma<strong>in</strong>ta<strong>in</strong> the quality <strong>of</strong> the <strong>rice</strong> environment, (3) <strong>in</strong>crease national<br />

yield from 3.2 to 4.5 t ha -1 , and (4) <strong>in</strong>crease the pr<strong>of</strong>essionalism <strong>of</strong> <strong>rice</strong> farm<strong>in</strong>g (DOASL<br />

1995a).<br />

Integrated <strong>management</strong> <strong>of</strong> <strong>rice</strong> pests<br />

The improvement <strong>of</strong> crop protection technologies that are cheaper, more efficient,<br />

and environmentally sound is becom<strong>in</strong>g urgent. But <strong>in</strong>adequate crop protection techniques,<br />

the lack <strong>of</strong> appropriate agronomic practices, <strong>in</strong>sufficient extension services,<br />

and socioeconomic constra<strong>in</strong>ts are the ma<strong>in</strong> problems associated with implement<strong>in</strong>g<br />

<strong>in</strong>tegrated pest <strong>management</strong> (IPM) techniques (DOASL 1995b). Therefore, emphasis<br />

has been given to develop<strong>in</strong>g <strong>rice</strong> varieties with resistance to the major pests—<strong>rice</strong><br />

thrips, gall midge (biotype II), and brown planthopper—and study<strong>in</strong>g the natural control<br />

mechanisms <strong>of</strong> these pests, analyz<strong>in</strong>g <strong>farmers</strong>' pest <strong>management</strong> decision mak<strong>in</strong>g<br />

and practices, and <strong>in</strong>troduc<strong>in</strong>g different IPM approaches to improve <strong>farmers</strong>' practices<br />

<strong>in</strong> order to develop susta<strong>in</strong>able IPM <strong>in</strong> <strong>rice</strong>. Furthermore, the research activities<br />

<strong>of</strong> the Department <strong>of</strong> Agriculture, Sri Lanka (DOASL), focus ma<strong>in</strong>ly on generat<strong>in</strong>g<br />

research <strong>in</strong>formation on IPM components to help strengthen farmer tra<strong>in</strong><strong>in</strong>g<br />

(Kudagamage and Nugaliyadde 1995, Fernando 1996).<br />

Survey sites<br />

Rice ecosystem<br />

Sri Lanka has approximately 730,000 ha <strong>of</strong> land suitable for <strong>rice</strong> cultivation. Of this,<br />

41 % is covered by the major irrigation schemes, 25% by the m<strong>in</strong>or irrigation schemes,<br />

and 34% is under ra<strong>in</strong>fed conditions, with a total area sown per year <strong>of</strong> around 830,000<br />

ha because <strong>of</strong> double cropp<strong>in</strong>g. The average productivity under major, m<strong>in</strong>or, and<br />

ra<strong>in</strong>fed lands is 4.2 t ha -1 , 3.2 t ha -1 , and 2.4 t ha -1 , respectively. Therefore, the irrigated<br />

lands (major and m<strong>in</strong>or) contribute about 75% to the total paddy production<br />

(Path<strong>in</strong>ayake et al 1991, DOASL 1995a, 1995c).<br />

172 Nugaliyadde et al


Sri Lanka’s <strong>rice</strong>lands are mostly <strong>in</strong> the <strong>in</strong>land valleys and, to a limited extent, on<br />

coastal pla<strong>in</strong>s, flood pla<strong>in</strong>s, and terraced slopes. Variable seasonal ra<strong>in</strong>s and a variety<br />

<strong>of</strong> soils, elevations, temperatures, and dra<strong>in</strong>age patterns create complex and vary<strong>in</strong>g<br />

environments for <strong>rice</strong> production (Will 1989). The agroclimatic features <strong>of</strong> the country<br />

are strongly <strong>in</strong>fluenced by the <strong>in</strong>teraction <strong>of</strong> the two monsoons—the northeast<br />

(October-March) and the southwest (May-September)—and the mounta<strong>in</strong>ous land<br />

mass <strong>in</strong> the south-central areas. Climatic zones are grouped on the basis <strong>of</strong> annual<br />

ra<strong>in</strong>fall <strong>in</strong>to dry (900–1,500 mm), <strong>in</strong>termediate (1,500–2,200 mm), and wet (>2,200<br />

mm), and on the basis <strong>of</strong> altitude <strong>in</strong>to low-country (1,000 m) (Fig. 1). A further classification <strong>of</strong> lands <strong>in</strong>to 24<br />

agroecological regions was made accord<strong>in</strong>g to altitude, ra<strong>in</strong>fall and its distribution,<br />

major soil groups, elevation, temperature, and vegetation (Panabokke and Kannangara<br />

1975).<br />

The cultivation year is divided <strong>in</strong>to two seasons—ma<strong>in</strong> ( maha ) between October<br />

and March and m<strong>in</strong>or (yala) between April and September. The seasons are very<br />

dist<strong>in</strong>ct <strong>in</strong> the dry zone, but become <strong>in</strong>creas<strong>in</strong>gly less dist<strong>in</strong>ct toward the <strong>in</strong>termediate<br />

and wet zones. The northeast monsoon (October to March) is stronger and produces<br />

ra<strong>in</strong>s throughout the island. The southwest monsoon (May to September) br<strong>in</strong>gs ra<strong>in</strong>s<br />

mostly to the wet zone, the southwestern quarter, and the central highlands. As a<br />

result, moisture is sufficient year-round <strong>in</strong> the wet zone. but dry spells are frequent <strong>in</strong><br />

the dry and <strong>in</strong>termediate zones (Panabokke and Kannangara 1975).<br />

Sampl<strong>in</strong>g sites<br />

Seven adm<strong>in</strong>istrative districts — Anuradhapura, Polonnaruwa, Kurunegala, Matale,<br />

Kandy, Ratnapura, and Hambantota — were selected to represent different<br />

agroecological regions (Fig. 1). Accessibility to the sample areas was also considered<br />

<strong>in</strong> select<strong>in</strong>g these districts. Anuradhapura, Polonnaruwa, and Hambantota are ma<strong>in</strong>ly<br />

dry zones, whereas the others run across wet, <strong>in</strong>termediate, and dry zones. These<br />

seven districts cover about 35% <strong>of</strong> the total <strong>rice</strong>lands <strong>in</strong> the country. More than 90%<br />

<strong>of</strong> the <strong>rice</strong>lands <strong>in</strong> Anuradhapura, Polonnaruwa, and Hambantota districts are under<br />

irrigated cultivation compared with those <strong>in</strong> Kurunegala (63%), Matale (75%), Kandy<br />

(63%), and Ratnapura (63%). A significant proportion <strong>of</strong> the <strong>rice</strong>lands <strong>in</strong> Kurunegala,<br />

Matale, Kandy, and Ratnapura is under ra<strong>in</strong>fed cultivation (Gunatilake and Somasiri<br />

1995).<br />

Although pest problems perta<strong>in</strong><strong>in</strong>g to different areas are not documented systematically,<br />

Anuradhapura, Polonnaruwa, Hambantota, and Ampara are endemic regions<br />

for brown planthopper. Rice gall midge <strong>in</strong>festations are usually high <strong>in</strong> the dry and<br />

<strong>in</strong>termediate zones dur<strong>in</strong>g the ma<strong>in</strong> season and <strong>in</strong> the wet zone <strong>in</strong> the m<strong>in</strong>or season<br />

(Kudagamage and Nugaliyadde 1995).<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Sri Lanka 173


Fig. 1. Zone and district boundaries <strong>of</strong> Sri Lanka.<br />

174 Nugaliyadde et al


Method <strong>of</strong> survey<br />

Selection <strong>of</strong> <strong>farmers</strong><br />

Farmers who cultivate irrigated <strong>rice</strong> <strong>in</strong> the dry and <strong>in</strong>termediate zones and favorable<br />

ra<strong>in</strong>fed <strong>rice</strong> <strong>in</strong> the wet zone were selected for the survey. Two or three Agrarian Service<br />

Centers (ASC) were selected on purpose from each adm<strong>in</strong>istrative district to<br />

represent different agroecological regions. About 25 <strong>farmers</strong>, selected at random, were<br />

<strong>in</strong>terviewed from each ASC range. A total <strong>of</strong> 329 <strong>farmers</strong> from Anuradhapura,<br />

Polonnaruwa, Kurunegala, Kandy, Matale, Ratnapura, and Hambantota were <strong>in</strong>terviewed.<br />

Survey <strong>in</strong>strument<br />

The survey was designed to describe the sociodemographic pr<strong>of</strong>ile <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong><br />

the selected districts, record the agronomic and pest <strong>management</strong> practices followed<br />

dur<strong>in</strong>g the ma<strong>in</strong> season <strong>of</strong> 1995-96 (October 1995 to March 1996), and obta<strong>in</strong> detailed<br />

<strong>in</strong>formation about <strong>farmers</strong>’ knowledge and attitudes on <strong>in</strong>sect pests and natural<br />

enemies <strong>of</strong> <strong>rice</strong> and their use <strong>of</strong> pesticides.<br />

A questionnaire already used by the IPM Network <strong>in</strong> other <strong>Asia</strong>n countries was<br />

taken as the base document <strong>in</strong> prepar<strong>in</strong>g the survey <strong>in</strong>strument. The questionnaire<br />

was translated <strong>in</strong>to the S<strong>in</strong>hala language and adapted to reflect local situations. The<br />

adapted questionnaire was pretested with 10 <strong>farmers</strong> from Kurunegala and modifications<br />

were made accord<strong>in</strong>gly.<br />

Survey procedure<br />

To ensure consistency <strong>in</strong> responses, the enumerators agreed to follow a uniform question<strong>in</strong>g<br />

and record<strong>in</strong>g procedure. Follow-up discussions helped share experiences and<br />

make necessary adjustments to the survey procedure. The survey was done ma<strong>in</strong>ly<br />

dur<strong>in</strong>g weekends and holidays <strong>in</strong> order to f<strong>in</strong>d as many <strong>farmers</strong> as possible. Initially,<br />

the <strong>in</strong>terviewers gave <strong>farmers</strong> a brief <strong>in</strong>troduction to the survey objectives and requested<br />

their cooperation for its success.<br />

Farmers were <strong>in</strong>terviewed with<strong>in</strong> a period <strong>of</strong> 10 wk (February-April 1996). The<br />

survey began soon after the ma<strong>in</strong> season <strong>of</strong> 1995-96 and cont<strong>in</strong>ued until the beg<strong>in</strong>n<strong>in</strong>g<br />

<strong>of</strong> the m<strong>in</strong>or season <strong>of</strong> 1996 to enable <strong>farmers</strong> to relate observations from previous<br />

seasons and activities more accurately.<br />

Results<br />

Sociodemographic pr<strong>of</strong>ile <strong>of</strong> <strong>farmers</strong><br />

The ages <strong>of</strong> selected <strong>rice</strong> <strong>farmers</strong> ranged from 60, with a mean and SE <strong>of</strong> 46.2<br />

± 3.4. About one-fifth <strong>of</strong> the <strong>farmers</strong> were below the age <strong>of</strong> 30, and 4.3% were above<br />

61 (Table 1). Some 58.5% <strong>of</strong> the <strong>farmers</strong> were owner-operators and 26.4% were tenants.<br />

Only 9.2% were lessees, 1.1% were hired laborers, and 4.5% fell <strong>in</strong>to other<br />

categories. Of the 329 <strong>farmers</strong> <strong>in</strong>terviewed, 38.9% had more than 20 yr <strong>of</strong> experience<br />

<strong>in</strong> <strong>rice</strong> farm<strong>in</strong>g and 73.2% had cultivated <strong>rice</strong> for more than 10 yr.<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Sri Lanka 175


Table 1. Sociodemographic pr<strong>of</strong>ile <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong>terviewed<br />

(n=329) (cropp<strong>in</strong>g season October 1995-March 1996).<br />

Pr<strong>of</strong>ile<br />

Age class<br />


86% <strong>of</strong> the crop was broadcast. Broadcast<strong>in</strong>g was more popular <strong>in</strong> Hambantota (100%),<br />

Anuradhapura (85%), and Polonnaruwa (80%) than <strong>in</strong> Matale (39%) and Ratnapura<br />

(25%).<br />

Farmers reported gra<strong>in</strong> yield from 2 to 6 t ha -1 , with a mean and SE <strong>of</strong> 3.34 &<br />

0.67. About 29% and 28% <strong>of</strong> the <strong>farmers</strong> obta<strong>in</strong>ed <strong>rice</strong> yields <strong>of</strong> 34 and 4–5 t ha -1 ,<br />

respectively. One-third <strong>of</strong> the <strong>farmers</strong> obta<strong>in</strong>ed yields below 3 t ha -1 , the national<br />

average, and 12% produced more than 5 t ha -1 . More than 70% <strong>of</strong> the <strong>farmers</strong> <strong>in</strong><br />

Polonnaruwa, Anuradhapura, and Hambantota obta<strong>in</strong>ed yields <strong>of</strong> 4–5 t ha -1 compared<br />

with those <strong>in</strong> Kurunegala, Ratnapura, Kandy, and Matale <strong>of</strong> 34 t ha -1 .<br />

Rice <strong>farmers</strong>' pest <strong>management</strong> knowledge<br />

Most <strong>farmers</strong> (95%) were unaware <strong>of</strong> the pest-resistant characteristics <strong>of</strong> <strong>rice</strong> varieties.<br />

Of the 329 <strong>farmers</strong> <strong>in</strong>terviewed, 79.6% reported at least one pest <strong>in</strong>festation dur<strong>in</strong>g<br />

the past season (October 1995-March 1996). The rest (20%) mentioned no pest<br />

damage or ignored low <strong>in</strong>festation levels. Rice leaffolder <strong>in</strong>festations were reported<br />

by 22% <strong>of</strong> the <strong>rice</strong> <strong>farmers</strong>. This was followed by <strong>rice</strong> bug (17%), brown planthopper<br />

(BPH) (16%), stem borer (14%), rats (9%), thrips (5%), cutworm (5%), armyworm<br />

(4%), and gall midge (4%). Fewer than 3% <strong>of</strong> the <strong>farmers</strong> reported <strong>rice</strong> diseases—<br />

blast, bacterial blight, and <strong>rice</strong> yellow<strong>in</strong>g. About 87% <strong>of</strong> the <strong>farmers</strong> (all those who<br />

direct-seeded their crop) reported weeds as their ma<strong>in</strong> problem dur<strong>in</strong>g the past season.<br />

When <strong>farmers</strong> were asked to <strong>in</strong>dicate the most important pest problem, 33%<br />

mentioned leaffolder, 14% <strong>rice</strong> bug, 13% rats, 10% BPH, and 7% stem borer. The<br />

second most important pest problems mentioned were <strong>rice</strong> bug (31%), stem borer<br />

(25%), BPH (16%), rats (5%), thrips (4%), cutworm (4%), and gall midge (4%).<br />

Of the 262 <strong>farmers</strong> who reported <strong>in</strong>sect pest problems, 86% have applied <strong>in</strong>secticides<br />

to control them, 7% did noth<strong>in</strong>g, 3.4% used bait<strong>in</strong>g, 2% used water <strong>management</strong>,<br />

and a small portion resorted to hand pick<strong>in</strong>g and other traditional methods,<br />

<strong>in</strong>clud<strong>in</strong>g spray<strong>in</strong>g neem seed extracts.<br />

<strong>Pest</strong>icide application pattern<br />

The <strong>farmers</strong> who used chemical control made a total <strong>of</strong> 402 pesticide (<strong>in</strong>secticides<br />

and fungicides) applications, or an average <strong>of</strong> 1.2 applications per farmer. Of these<br />

applications, 83% were made to control pests and 15% to prevent pest <strong>in</strong>festations;<br />

the rema<strong>in</strong><strong>in</strong>g 2% were made with uncerta<strong>in</strong>ty. Furthermore, most <strong>of</strong> the pesticide<br />

applications were made at the seedl<strong>in</strong>g stage (42%) and vegetative stage (40%). Only<br />

18% <strong>of</strong> the applications were made at the reproductive stage <strong>of</strong> the crop.<br />

Dur<strong>in</strong>g the ma<strong>in</strong> crop season, <strong>farmers</strong> spent from


Table 2. Ma<strong>in</strong> target pests <strong>of</strong> pesticides used by <strong>farmers</strong> and number <strong>of</strong> applications.<br />

Chemicals LF a BPH PB SB TH GM AW/ Rats N %<br />

CW<br />

Endosulfan b 6 - 4 - - - - - 10 2.5<br />

Chlorpyrifos 21 1 8 - - - - - 30 7.4<br />

Diaz<strong>in</strong>on<br />

- 6 4 - - 3 - - 13 3.2<br />

Dimethoate<br />

3 - 1 - 3 - - - 7 1.7<br />

Fenthion 6 - - - - - - - 6 1.5<br />

Phenthoate<br />

14 - - - 3 - 11 - 28 6.9<br />

Methamidophos b 13 - - - 2 - 1 - 16 1.5<br />

Malathion b 1 2 - - 1 - - - 4 0.9<br />

Monocrotophos b 7 5 - 1 - - 6 - 19 4.7<br />

Benfuracarb - - - - 2 3 - - 5 1.2<br />

Carb<strong>of</strong>uran 3%G - - 29 - 1 12 - - 42 10.4<br />

Fenobucarb - - - - - 6 - - 6 1.5<br />

Cyfluthr<strong>in</strong><br />

2 - - - - - - - 2 0.4<br />

Brodifacoum - - - - - - - 3 3 0.7<br />

Tebufenozide 1 - - - - - - - 1 0.2<br />

Sulfur b 1 - - - - - - - 1 0.2<br />

Unknown 34 68 37 37 15 - - 2 193 47.9<br />

Total 109 82 83 38 27 24 185 386<br />

a LF = leaffolder, BPH = brown planthopper, PB = paddy bug, SB = stem borer, TH =thrips, GM = gall midge, AW/<br />

CW = armyworm and cutworm. b lnsecticides not recommended for <strong>rice</strong>.<br />

Farmers' selection <strong>of</strong> <strong>in</strong>secticides for <strong>rice</strong> pest control<br />

The pesticides (<strong>in</strong>secticides and fungicides) used by <strong>farmers</strong> dur<strong>in</strong>g the ma<strong>in</strong> crop<br />

season fall <strong>in</strong>to different groups (Table 2). Of these, endosulfan, methamidophos,<br />

monocrotophos, malathion, cyfluthur<strong>in</strong>, fungicides, and sulfur are not recommended<br />

for <strong>rice</strong> pest control (endosulfan and monocrotophos have been banned <strong>in</strong> Sri Lanka<br />

s<strong>in</strong>ce 1995). Some products are used exclusively <strong>in</strong> public health care (cyfluthr<strong>in</strong> and<br />

malathion), but some <strong>farmers</strong> (n=12) used fungicides for <strong>in</strong>sect control. More <strong>in</strong>terest<strong>in</strong>gly,<br />

48% <strong>of</strong> the pesticides used were classified as unknown because the <strong>farmers</strong><br />

were unable to remember the name <strong>of</strong> the pesticide.<br />

The most commonly used <strong>in</strong>secticides were carb<strong>of</strong>uran (10.4%), chlorpyrifos<br />

(7.4%), phenthoate (6.9%), monocrotophos (4.7%), methamidophos (1.5%), and<br />

diaz<strong>in</strong>on (3.2%). Furthermore, <strong>farmers</strong> <strong>of</strong>ten do not follow the recommended application<br />

rates (DOASL 1995d). Dur<strong>in</strong>g the survey, we observed that more than 75% <strong>of</strong><br />

the <strong>farmers</strong> never followed the recommended dosage and dilution. Farmers gave many<br />

explanations for not follow<strong>in</strong>g the recommendations <strong>in</strong>dicated on the label <strong>of</strong> the<br />

pesticide conta<strong>in</strong>er. In addition, the higher cost <strong>of</strong> pesticides and labor caused <strong>farmers</strong><br />

to use lower dosages at the first sign <strong>of</strong> <strong>in</strong>sect <strong>in</strong>festation.<br />

Farmers’ perceptions about leaf-feed<strong>in</strong>g <strong>in</strong>sects<br />

Almost all <strong>farmers</strong> mentioned the leaffolder as one <strong>of</strong> the most damag<strong>in</strong>g leaf-feed<strong>in</strong>g<br />

<strong>in</strong>sects <strong>of</strong> <strong>rice</strong>. Farmers recognized grasshoppers, cutworms, armyworms, and<br />

caseworms as leaf-feed<strong>in</strong>g <strong>in</strong>sects. Farmers <strong>in</strong> Polonnaruwa were more aware <strong>of</strong> leaffeed<strong>in</strong>g<br />

<strong>in</strong>sects than those <strong>in</strong> other districts and were able to identify at least three<br />

178 Nugaliyadde et al


Table 3. Farmers’ perceptions about leaf-feed<strong>in</strong>g <strong>in</strong>sects (LFI) <strong>of</strong> <strong>rice</strong> (ma<strong>in</strong> season October<br />

1995 March 1996).<br />

Criterion<br />

District a (<strong>farmers</strong> respond<strong>in</strong>g, %)<br />

Ap Pol Kur Kay Mat Rat Ham Av<br />

Average number <strong>of</strong> LFI 2.1 3.1 2.0 1.2 1.5 1.3 2.3 1.9<br />

reported by <strong>farmers</strong><br />

LFI cause severe damage 66 69 92 71 69 70 66 71.8<br />

to the crop<br />

Insecticides are required to 60 60 69 77 49 73 63 64.4<br />

control LFI<br />

Spray<strong>in</strong>g for LFI should 72 51 80 48 37 81 72 63.0<br />

be done early<br />

a Ap = Anuradhapura, Pol = Polonnaruwa, Kur = Kurunegala, Kay = Kandy, Mat = Matale, Rat = Ratnapura, Ham<br />

= Hambantota.<br />

Table 4. Farmers’ perceptions about natural enemies <strong>of</strong> <strong>rice</strong> pests (ma<strong>in</strong> season October 1999<br />

March 1996).<br />

Criterion<br />

District a (<strong>farmers</strong> respond<strong>in</strong>g, %)<br />

Ap Pol Kur Kay Mat Rat Ham Av<br />

Know the presence<br />

<strong>of</strong> natural enemies 33 68 48 31 50 53 86 52.7<br />

Average number <strong>of</strong><br />

natural enemies named<br />

by <strong>farmers</strong> 2.5 4.5 4.1 3.3 4.6 2.7 5.2 3.8<br />

Know the role <strong>of</strong><br />

natural enemies 31 67 40 31 49 52 86 50.8<br />

Know the effect <strong>of</strong><br />

<strong>in</strong>secticides on natural<br />

enemies 30 65 41 26 48 51 85 49.4<br />

Know that kill<strong>in</strong>g natural<br />

enemies will <strong>in</strong>crease<br />

pest <strong>in</strong>festations 10 23 33 10 18 11 15 17.1<br />

a Ap = Anuradhapura, Pol = Polonnaruwa, Kur = Kurunegala, Kay = Kandy, Mat = Matale, Rat = Ratnapura,<br />

Ham = Hambantota.<br />

leaf-feed<strong>in</strong>g <strong>in</strong>sects <strong>of</strong> <strong>rice</strong> (Table 3). In all districts. the majority <strong>of</strong> the <strong>farmers</strong> (54-<br />

95%) believed that leaf-feed<strong>in</strong>g <strong>in</strong>sects would cause severe damage to <strong>rice</strong>. Close to<br />

two-thirds <strong>of</strong> the <strong>farmers</strong> (64%) across all districts believed that <strong>in</strong>secticides were<br />

needed to control leaf-feed<strong>in</strong>g <strong>in</strong>sects and that spray<strong>in</strong>g should be done early (63%)<br />

to avoid severe crop losses.<br />

Farmers’ knowledge <strong>of</strong> natural enemies <strong>of</strong> <strong>rice</strong> pests<br />

About 53% <strong>of</strong> the <strong>farmers</strong> recognized the presence <strong>of</strong> a group <strong>of</strong> organisms called<br />

natural enemies <strong>in</strong> <strong>rice</strong>fields (Table 4). In Hambantota, 86% <strong>of</strong> the <strong>farmers</strong> knew<br />

about natural enemies. In contrast, farmer awareness <strong>of</strong> natural enemies was corn-<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Sri Lanka 179


paratively poor <strong>in</strong> Kandy (31%), Anuradhapura (33%), Kurunegarala (48%), and<br />

Matale (50%).<br />

Almost all <strong>of</strong> the <strong>farmers</strong> who recognized the presence <strong>of</strong> natural enemies could<br />

describe their role <strong>in</strong> the <strong>rice</strong> environment. Fifty-one percent <strong>of</strong> the <strong>farmers</strong> knew that<br />

natural enemies feed on other <strong>in</strong>sects such as pests. Many <strong>farmers</strong> were able to name<br />

at least three natural enemies <strong>of</strong> <strong>rice</strong> pests (mean 3.8). The most common natural<br />

enemies mentioned by <strong>farmers</strong> were spiders, dragonflies, birds, snakes, different types<br />

<strong>of</strong> beetles, and flies.<br />

Fifty percent <strong>of</strong> the <strong>farmers</strong> were aware <strong>of</strong> the adverse effects <strong>of</strong> <strong>in</strong>secticides on<br />

natural enemies. Farmer awareness <strong>of</strong> the ill effects <strong>of</strong> <strong>in</strong>secticides was high <strong>in</strong><br />

Hambantota (85%) and Polonnaruwa (65%). Farmers’ responses to further questions<br />

on the effect <strong>of</strong> <strong>in</strong>secticide applications on pest populations were poor. This was evident<br />

<strong>in</strong> the low proportion <strong>of</strong> <strong>farmers</strong> who answered a question on pest resurgence<br />

after <strong>in</strong>secticide application. Only 17% <strong>of</strong> the <strong>farmers</strong> agreed that kill<strong>in</strong>g natural enemies<br />

will <strong>in</strong>crease pest <strong>in</strong>festations.<br />

Discussion<br />

Prior to the beg<strong>in</strong>n<strong>in</strong>g <strong>of</strong> the FAO Intercountry Rice IPM Program <strong>in</strong> the early 1980s,<br />

<strong>in</strong>sect pest control for <strong>rice</strong> was ma<strong>in</strong>ly based on pesticides. Emphasis was also given<br />

to develop<strong>in</strong>g and <strong>in</strong>troduc<strong>in</strong>g varieties resistant to major <strong>in</strong>sect pests and understand<strong>in</strong>g<br />

the natural control mechanisms <strong>of</strong> the <strong>in</strong>sect pest complex <strong>of</strong> <strong>rice</strong> (Wickremas<strong>in</strong>ghe<br />

1980, Fernando 1996). In addition to the extensive promotional activities <strong>of</strong> the pesticide<br />

<strong>in</strong>dustry, the well-established extension service network <strong>of</strong> the DOASL helped<br />

dissem<strong>in</strong>ate pesticide recommendations to <strong>farmers</strong> more effectively. This could be a<br />

major factor contribut<strong>in</strong>g to <strong>farmers</strong>’ overreliance on <strong>in</strong>secticides for <strong>rice</strong> pest control.<br />

Dur<strong>in</strong>g the survey, some <strong>farmers</strong> were observed to consider pesticides (<strong>in</strong>secticides)<br />

as essential components <strong>of</strong> <strong>rice</strong> cultivation; <strong>farmers</strong> purchased them at the beg<strong>in</strong>n<strong>in</strong>g<br />

<strong>of</strong> the season along with other <strong>in</strong>puts such as seed, fertilizer, etc. Farmers<br />

would go through f<strong>in</strong>ancial hardships just to buy pesticides, which are not subsidized<br />

<strong>in</strong> Sri Lanka. Furthermore, some <strong>farmers</strong> were found to mix granular <strong>in</strong>secticides<br />

(usually one-fifth <strong>of</strong> the recommended dose) with fertilizers at the first topdress<strong>in</strong>g.<br />

Therefore, to implement an ecologically based pest <strong>management</strong> program, it is essential<br />

to correct <strong>farmers</strong>’ perceptions that pesticides are important and an essential component<br />

<strong>of</strong> <strong>rice</strong> farm<strong>in</strong>g.<br />

The improvements made so far on pesticide recommendations have been encourag<strong>in</strong>g.<br />

The DOASL has constantly updated the recommendations. In 1971, the DOASL<br />

covered two organochlor<strong>in</strong>es (DDT and BHC) and six organophosphates (diaz<strong>in</strong>on,<br />

fenthion, malathion, monocrotophos, phenthoate, and trichlorfon) (DOASL 1971).<br />

This recommendation was revised <strong>in</strong> 1979 to add four carbamates (fenobucarb, carbaryl,<br />

carb<strong>of</strong>uran, and propoxur) (DOASL 1979). A 1983 revision deleted all organochlor<strong>in</strong>es<br />

from the pesticide recommendation (DOASL 1983). In 1995, the recommendation<br />

was further revised to delete all WHO class Ia and class Ib products and to<br />

<strong>in</strong>clude safer new products (DOASL 1995d).<br />

180 Nugaliyadde et al


The IPM program <strong>in</strong> <strong>rice</strong>, launched by the DOASL <strong>in</strong> the early 1980s, first emphasized<br />

improv<strong>in</strong>g <strong>farmers</strong>’ pest <strong>management</strong> practices by upgrad<strong>in</strong>g their knowledge<br />

on pests, natural enemies, and pesticide application patterns. Economic threshold<br />

values for each pest were <strong>in</strong>troduced to justify pesticide applications (Kudagamage<br />

and Nugaliyadde 1995). But the acceptability <strong>of</strong> pest <strong>management</strong> based on threshold<br />

levels has received much criticism (Matteson et al 1984).<br />

Because IPM is recognized as a national policy <strong>in</strong> Sri Lanka, emphasis has been<br />

given to improv<strong>in</strong>g <strong>farmers</strong>’ pest <strong>management</strong> decision mak<strong>in</strong>g through farmer field<br />

schools (DOASL 1995a, Fernando 1996). The results <strong>of</strong> this program seem encourag<strong>in</strong>g.<br />

Farmers <strong>in</strong> areas where IPM programs have been active over the past decade<br />

seem to be well aware <strong>of</strong> IPM approaches.<br />

As <strong>in</strong>dicated by van de Fliert (1987), we also observed a critical lack <strong>of</strong> farmer<br />

knowledge on recommended crop <strong>management</strong> practices. Awareness <strong>of</strong> varieties is<br />

important for plann<strong>in</strong>g and execut<strong>in</strong>g appropriate crop <strong>management</strong> practices, <strong>in</strong>clud<strong>in</strong>g<br />

fertilizer application, to realize yield potential. Furthermore, <strong>farmers</strong> should possess a<br />

sound knowledge <strong>of</strong> <strong>in</strong>sect pests, <strong>in</strong>clud<strong>in</strong>g their natural control agents and <strong>in</strong>fluence<br />

on yield. among other aspects, to effectively make <strong>management</strong> decisions. The many<br />

knowledge gaps we observed among <strong>farmers</strong> may have prevented them from mak<strong>in</strong>g<br />

effective <strong>management</strong> decisions.<br />

This was evident because <strong>of</strong> the prom<strong>in</strong>ence <strong>farmers</strong> gave to <strong>in</strong>sect pests affect<strong>in</strong>g<br />

their crops. Similar to the observations <strong>of</strong> Escalada et al (1992), Heong et al<br />

(1992, 1994), and Vo Mai et al (1993), we also found that <strong>farmers</strong> seem to equate<br />

visibility <strong>of</strong> a pest with its importance. As <strong>in</strong> other <strong>Asia</strong>n countries, <strong>farmers</strong> <strong>in</strong> Sri<br />

Lanka consider leaffolder and paddy bug as the most damag<strong>in</strong>g pests to the <strong>rice</strong> crop.<br />

Farmers‘ perceptions <strong>of</strong> leaffolder damage and the need for immediate control have<br />

been reported to be widespread <strong>in</strong> many <strong>Asia</strong>n countries (Heong et al 1994). On the<br />

other hand, the specific odor and dist<strong>in</strong>ct appearance <strong>in</strong> the field and illum<strong>in</strong>ated places<br />

<strong>in</strong> the house make paddy bug a prom<strong>in</strong>ent pest for <strong>farmers</strong>. Almost all <strong>farmers</strong> believe<br />

that the paddy bug causes extensive yield losses to their crops, which stimulates them<br />

to use chemical control.<br />

Although the survey did not study <strong>farmers</strong>’ fertilizer application patterns, we<br />

observed many variations <strong>in</strong> fertilizer use. Many <strong>farmers</strong> seem less <strong>in</strong>terested <strong>in</strong> supply<strong>in</strong>g<br />

the essential nutritional requirements to seedl<strong>in</strong>gs (to <strong>in</strong>corporate organic matter<br />

or to supply basal fertilizer), which are vital for early growth and to help withstand<br />

pest <strong>in</strong>festations. Farmers considered nutritional disorders, commonly observed <strong>in</strong><br />

low-fertile soils, as pest problems requir<strong>in</strong>g <strong>in</strong>secticide applications. Therefore, a high<br />

percentage <strong>of</strong> <strong>farmers</strong> applied pesticides at the early vegetative stage <strong>of</strong> the crop.<br />

We also noted that <strong>farmers</strong>’ knowledge <strong>of</strong> correct pesticide use is poor, <strong>in</strong>clud<strong>in</strong>g<br />

selection <strong>of</strong> the correct pesticide, dosage, dilution, tim<strong>in</strong>g, and application techniques<br />

(van der Fliert 1987). This lack <strong>of</strong> knowledge on proper pesticide use could lead to<br />

environmental as well as socioeconomic problems for <strong>rice</strong> <strong>farmers</strong>. Therefore, efforts<br />

should be made to wean <strong>farmers</strong> from the misuse <strong>of</strong> pesticides.<br />

Because <strong>of</strong> the activities <strong>of</strong> the IPM program, farmer awareness <strong>of</strong> natural enemies<br />

was found to be high <strong>in</strong> Hambantota and Polonnaruwa. Efforts should there-<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Sri Lanka 181


fore be made to <strong>in</strong>troduce similar programs <strong>in</strong> other areas as well. Nevertheless, <strong>farmers</strong>’<br />

<strong>in</strong>ability to understand pest resurgence because <strong>of</strong> pesticides; the existence <strong>of</strong> an<br />

ecological balance among pests, natural enemies, and neutral fauna <strong>in</strong> <strong>rice</strong>fields; and<br />

the relationship between pest densities and yield should be taken <strong>in</strong>to account when<br />

develop<strong>in</strong>g strategies to improve <strong>farmers</strong>’ pest <strong>management</strong> decisions.<br />

References<br />

DOASL (Department <strong>of</strong> Agriculture Sri Lanka). 1971. Chemical pest control recommendation<br />

for paddy. Peradeniya (Sri Lanka): Agriculture Extension Division, DOASL. 13 p.<br />

DOASL (Department <strong>of</strong> Agriculture Sri Lanka). 1979. Major crop pests and their control with<br />

pesticides. Peradeniya (Sri Lanka): DOASL. 46 p.<br />

DOASL (Department <strong>of</strong> Agriculture Sri Lanka). 1983. Major crop pests and their control with<br />

pesticides. Peradeniya (Sri Lanka): Extension and Communication Center, DOASL. 51 p.<br />

DOASL (Department <strong>of</strong> Agriculture Sri Lanka). 1995a. Work plan for the development <strong>of</strong> the<br />

<strong>rice</strong> sector <strong>in</strong> Sri Lanka. Peradeniya (Sri Lanka): DOASL. 19 p.<br />

DOASL (Department <strong>of</strong> Agriculture Sri Lanka). 1995b. Five year work plan for the Rice Research<br />

and Development Institute. Peradeniya (Sri Lanka): DOASL. 11 p.<br />

DOASL (Department <strong>of</strong> Agriculture Sri Lanka). 1995c. Cost <strong>of</strong> cultivation <strong>of</strong> agricultural crops—<br />

maha 1993/94. Peradeniya (Sri Lanka): Socio-economic and Plann<strong>in</strong>g Center, DOASL.<br />

55 p.<br />

DOASL (Department <strong>of</strong> Agriculture Sri Lanka). 1995d. Major crop pests and their control with<br />

pesticides. Peradeniya (Sri Lanka): Extension and Communication Center, DOASL. (Unpublished.)<br />

Escalada MM, Lazaro AA, Heong KL. 1992. Early spray<strong>in</strong>g by <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Leyte, Philipp<strong>in</strong>es.<br />

Int. Rice Res. Newsl. 17:27-28.<br />

Fernando MHJP. 1996. Sri Lanka National IPM Programme: a country brief. Proceed<strong>in</strong>gs <strong>of</strong><br />

the programme advisory committee meet<strong>in</strong>g, FAO Intercountry Programme for IPM <strong>in</strong><br />

<strong>Asia</strong>, 6-9 Feb 1996. Hyderabad (India): FAO. 10 p.<br />

Gunatilake GA, Somasiri S. 1995. Rice grow<strong>in</strong>g ecosystems. In: Amarasiri SL, Nagarajah S,<br />

Perera BMK, editors. Rice Congress 1990. Proceed<strong>in</strong>gs <strong>of</strong> the Rice Symposium, 3-4 Sept<br />

1990. Kandy (Sri Lanka): DOASL. p 39-54.<br />

Heong KL, Escalada MM, Lazaro AA. 1992. <strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong><br />

Leyte, Philipp<strong>in</strong>es. Los Baños (Philipp<strong>in</strong>es): <strong>International</strong> Rice Research Institute. 57 p.<br />

Heong KL, Escalada MM, Vo Mai. 1994. An analysis <strong>of</strong> <strong>in</strong>secticide use <strong>in</strong> <strong>rice</strong>: a case study <strong>in</strong><br />

the Philipp<strong>in</strong>es and Vietnam. Int. J. <strong>Pest</strong> Manage. 40(2):173-178.<br />

Kudagamage C, Nugaliyadde L. 1995. Present status and future direction <strong>of</strong> <strong>in</strong>sect pest <strong>management</strong><br />

<strong>in</strong> <strong>rice</strong>. In: Amarasiri SL, Nagarajah S, Perera BMK, editors. Rice Congress<br />

1990. Proceed<strong>in</strong>gs <strong>of</strong> the Rice Symposium, 3-4 Sept 1990. Kandy (Sri Lanka): DOASL.<br />

p 39-54.<br />

Matteson PC, Altieri MA, Gagne WC. 1984. Modification <strong>of</strong> small farmer practices for better<br />

pest <strong>management</strong>. Annu. Rev. Entomol. 29:383-402.<br />

Panabokke CR, Kannangara RPK. 1975. The identification and demarcation <strong>of</strong> the agro-ecological<br />

regions <strong>of</strong> Sri Lanka. Proceed<strong>in</strong>gs Section B. Ann. Session Assoc. Advmt. Sci. Sri<br />

Lanka Assoc. Advmt. Sci. Colombo 31(3):49.<br />

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Path<strong>in</strong>ayake BD, Nugaliyadde L, Sandanayake CA. 1991. Direct seed<strong>in</strong>g practices for <strong>rice</strong> <strong>in</strong><br />

Sri Lanka. In: Direct seeded flooded <strong>rice</strong> <strong>in</strong> the tropics. Manila (Philipp<strong>in</strong>es): <strong>IRRI</strong>. p 77-<br />

90.<br />

van de Fliert E. 1987. Knowledge, attitudes, practices and <strong>in</strong>formation source relat<strong>in</strong>g to pest<br />

control by <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Sri Lanka. Thesis submitted to the Agriculture University,<br />

Wagen<strong>in</strong>gen, Netherlands. 229 p.<br />

Vo Mai, Thu Cuc NT, Hung NQ et al. 1993. Farmers’ perception <strong>of</strong> <strong>rice</strong> pest problems and<br />

<strong>management</strong> tactics used <strong>in</strong> Vietnam. Int. Rice Res. Newsl. 18:31.<br />

Wickremas<strong>in</strong>ghe N. 1980. Fifteen years <strong>of</strong> progress <strong>in</strong> <strong>rice</strong> pest control. In: Rice Symposium<br />

1980. Peradeniya (Sri Lanka): DOASL. p 49-76.<br />

Will H. 1989. Rice environmental classification <strong>in</strong> Sri Lanka. UNDP/FAO Ra<strong>in</strong>fed Rice Research<br />

and Development Project, SRL/84/024. Central Rice Breed<strong>in</strong>g Station, Batalagoda,<br />

Ibbagamuwa, Sri Lanka. 40 p.<br />

Notes<br />

Authors’ addresses: L. Nugaliyadde, entomologist, Rice Research and Development Institute<br />

(RRDI); T. Hidaka, Japan <strong>International</strong> Cooperation Agency IPM expert assigned to RRDI;<br />

M.P. Dhanapala, director <strong>of</strong> RRDI, Department <strong>of</strong> Agriculture, Batalagoda. Ibbagamuwa,<br />

Sri Lanka.<br />

Acknowledgments: This study was undertaken as a collaborative research between the <strong>International</strong><br />

Rice Research Institute and the Department <strong>of</strong> Agriculture, Sri Lanka, and we are<br />

grateful to Dr. K.L. Heong, <strong>IRRI</strong> entomologist, for the help extended. Mr. R.M. Hearth<br />

Band, economist, and Mr. M.M.P. Muthunayake, economic assistant, Rice Research and<br />

Development Institute, helped prepare the survey <strong>in</strong>strument and guided <strong>in</strong> plann<strong>in</strong>g and<br />

conduct<strong>in</strong>g the survey. Mr. Ajith Wijes<strong>in</strong>ghe, Mr. Lal Gunawardene, Mr. Udaya Kumara<br />

Ekanayake, Mr. S. Shamel Weniwella, Ms. Inn Samanmale. Ms. Puspa Damayanthi Kumari.<br />

and Ms. Tharanga Hearth helped conduct the survey. Data analysis was done by Ms. Puspa<br />

Damayanthi Kumari and Mr. Jayantha Senanayake.<br />

Citation: Heong KL, Escalada MM, editors. 1997. <strong>Pest</strong> <strong>management</strong> <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong>.<br />

Manila (Philipp<strong>in</strong>es): <strong>International</strong> Rice Research Institute.<br />

<strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Sri Lanka 183


CHAPTER 13<br />

Farmers’ perceptions and practices<br />

<strong>in</strong> weed <strong>management</strong> <strong>in</strong> Thailand<br />

L. Meenakanit and P. Vongsaroj<br />

A survey <strong>of</strong> 300 <strong>rice</strong> <strong>farmers</strong> was conducted to determ<strong>in</strong>e their perceptions<br />

<strong>of</strong> and practices <strong>in</strong> weed <strong>management</strong>. The survey <strong>in</strong>volved<br />

eight prov<strong>in</strong>ces <strong>of</strong> the Chao Phraya bas<strong>in</strong> <strong>in</strong> the central pla<strong>in</strong> and two<br />

prov<strong>in</strong>ces <strong>of</strong> the Pak Panang bas<strong>in</strong> <strong>in</strong> the south <strong>of</strong> Thailand. The data<br />

were collected through personal <strong>in</strong>terviews us<strong>in</strong>g a pretested questionnaire.<br />

The most important weeds present <strong>in</strong> the areas surveyed were<br />

grassy weeds—namely, Ech<strong>in</strong>ochloa crus-galli (L.) P. Beauv. and<br />

Leptochloa ch<strong>in</strong>ensis (L.) Nees, and broadleaf weeds such as<br />

Monochoria vag<strong>in</strong>alis (Burm. f.) Presl. Chemical application was the<br />

ma<strong>in</strong> weed control method <strong>farmers</strong> used and 2,4-D and butachlor +<br />

propanil were the herbicides used. Most <strong>of</strong> the <strong>farmers</strong> knew that<br />

weeds are the ma<strong>in</strong> cause <strong>of</strong> yield reductions as well as be<strong>in</strong>g a<br />

harbor for other pests.<br />

A majority <strong>of</strong> the <strong>farmers</strong> expressed favorable attitudes toward<br />

weed <strong>management</strong>, such as the importance <strong>of</strong> early detection <strong>of</strong><br />

weeds, good land preparation, synchronized plant<strong>in</strong>g, and application<br />

<strong>of</strong> the recommended dosage <strong>of</strong> herbicides. Among the different<br />

weed <strong>management</strong> methods, herbicide applications and mechanical<br />

methods were the options known by most <strong>farmers</strong>.<br />

Introduction<br />

Dur<strong>in</strong>g the past decade, <strong>rice</strong> grow<strong>in</strong>g <strong>in</strong> the irrigated lowlands <strong>in</strong> Thailand has gradually<br />

shifted from transplant<strong>in</strong>g to wet seed<strong>in</strong>g. As <strong>in</strong> other countries, the migration <strong>of</strong><br />

farm labor <strong>in</strong>to other sectors such as <strong>in</strong>dustry, services, construction, and overseas<br />

labor; lower <strong>in</strong>vestment <strong>in</strong> <strong>rice</strong> plant<strong>in</strong>g; the decl<strong>in</strong>e <strong>in</strong> real p<strong>rice</strong>s <strong>of</strong> <strong>rice</strong>; and higher<br />

yields <strong>of</strong> direct-seeded versus transplanted <strong>rice</strong> have been the major reasons for the<br />

shift <strong>in</strong> crop establishment method (Kanchanomai et al 1970, Panitchpat 1994). With<br />

the high rate <strong>of</strong> economic growth and <strong>in</strong>dustrialization, <strong>farmers</strong> face ris<strong>in</strong>g farm labor<br />

costs for transplant<strong>in</strong>g and weed<strong>in</strong>g. At the same time, real p<strong>rice</strong>s <strong>of</strong> <strong>rice</strong> have de-<br />

185


cl<strong>in</strong>ed. This tw<strong>in</strong> dilemma <strong>of</strong> ris<strong>in</strong>g labor costs and fall<strong>in</strong>g <strong>rice</strong> p<strong>rice</strong>s has been cited<br />

as an important explanation for the expansion <strong>of</strong> direct seed<strong>in</strong>g <strong>in</strong> <strong>Asia</strong>n countries<br />

(Jirstrom 1996, Denn<strong>in</strong>g et al 1983).<br />

But direct seed<strong>in</strong>g has adverse effects: <strong>in</strong>creased weed problems, a shift <strong>in</strong> the<br />

dom<strong>in</strong>ant species to grassy weeds, higher pest and disease <strong>in</strong>cidence because <strong>of</strong> high<br />

plant<strong>in</strong>g density to prevent weeds, and difficulties <strong>in</strong> carry<strong>in</strong>g out recommended cultural<br />

practices (Moody 1993). The rise <strong>in</strong> weed <strong>in</strong>festations <strong>in</strong> direct seed<strong>in</strong>g results<br />

from the greater competition from weeds, which may grow along with the <strong>rice</strong> plants.<br />

Besides compet<strong>in</strong>g with the <strong>rice</strong> crop for light, water, and soil nutrients, weeds smother<br />

<strong>rice</strong> because they are more vigorous (De Datta 1990). The shift <strong>in</strong> weed flora from<br />

broadleaf weeds and sedges to grassy weeds makes it difficult for <strong>farmers</strong> to differentiate<br />

weeds from <strong>rice</strong> because <strong>of</strong> their age and morphological similarity (Moody 1993).<br />

To control weeds, most <strong>farmers</strong> rely heavily on herbicides. The availability <strong>of</strong><br />

many types and formulations <strong>of</strong> herbicides <strong>in</strong> the market has generated problems for<br />

Thai <strong>farmers</strong>. Besides the higher <strong>in</strong>put cost <strong>of</strong> herbicides, their misuse and overuse<br />

from improper selection and application are <strong>of</strong>ten reported. Know<strong>in</strong>g the right k<strong>in</strong>d,<br />

rate, and tim<strong>in</strong>g <strong>of</strong> herbicide application as well as the stage <strong>of</strong> the weeds is important<br />

for effective weed control (Vongsaroj 1991, Choutummatut et al 1994).<br />

The <strong>in</strong>tegration <strong>of</strong> traditional weed control methods and physical methods with<br />

moderate herbicide use has been shown to have advantages over excessive dependence<br />

on herbicides. Misuse <strong>of</strong> herbicides can lead to shifts <strong>in</strong> weed populations toward<br />

perennial species and the establishment <strong>of</strong> weeds that are more difficult to control<br />

or have herbicide resistance (Labrada and Parker 1994, Heong et al 1995a). But<br />

better herbicide performance is achieved when optimum cultural practices, particularly<br />

water <strong>management</strong>, are used. Day (1972) reported that herbicides should be<br />

applied <strong>in</strong> conjunction with sound cultural <strong>management</strong> practices because the chemicals<br />

do not serve as their substitutes. The simultaneous application <strong>of</strong> a variety <strong>of</strong><br />

practices has a synergistic effect on weeds, thus result<strong>in</strong>g <strong>in</strong> more effective control<br />

(Heong et al 1995a).<br />

On the other hand, <strong>farmers</strong>’ knowledge <strong>of</strong> and attitudes toward other weed control<br />

methods seem to have been overlooked. These nonherbicide control options <strong>in</strong>clude<br />

proper land preparation, seed clean<strong>in</strong>g, water <strong>management</strong>, and other cultural<br />

practices to reduce weed <strong>in</strong>festation as well as propagules <strong>in</strong> the weed seed bank. As<br />

Labrada and Parker (1994) have affirmed, research must shift its focus to <strong>in</strong>clude<br />

<strong>farmers</strong>’ needs <strong>in</strong> order to encourage more effective adoption <strong>of</strong> <strong>in</strong>tegrated weed <strong>management</strong>.<br />

This study aimed to identify <strong>farmers</strong>’ problems <strong>in</strong> weed control and to understand<br />

their perceptions, attitudes, and practices <strong>in</strong> weed <strong>management</strong> <strong>in</strong> order to design<br />

strategies to help them m<strong>in</strong>imize yield losses from weed <strong>in</strong>festations. The area<br />

selected was central and south Thailand, the country’s major <strong>rice</strong>-grow<strong>in</strong>g areas.<br />

186 Meenakanit and Vongsaroj


Thailand<br />

Located <strong>in</strong> Southeast <strong>Asia</strong>, Thailand is surrounded by Myanmar, Laos, Cambodia,<br />

and Malaysia. This area is under the <strong>in</strong>fluence <strong>of</strong> the southwest monsoon, which lasts<br />

from the middle <strong>of</strong> May until October. Annual ra<strong>in</strong>fall varies from 1,000 to 2,000<br />

mm, accord<strong>in</strong>g to place and year. The climate, which is warm and humid, is suited to<br />

agriculture. Geographically, Thailand is divided <strong>in</strong>to four ma<strong>in</strong> regions: the north,<br />

northeast, central pla<strong>in</strong>, and the south. The central pla<strong>in</strong> is regarded as the <strong>rice</strong> bowl <strong>of</strong><br />

Thailand, whereas <strong>in</strong> the north, northeast, and south, <strong>rice</strong> is cultivated ma<strong>in</strong>ly for<br />

home consumption. In 1994, the total <strong>rice</strong> area was estimated to be 8.9 million ha<br />

(DOAE 1994). The ma<strong>in</strong> (wet) season covers 8.6 million ha.<br />

Most <strong>of</strong> the survey prov<strong>in</strong>ces are flat lands situated along river bas<strong>in</strong>s and lakes<br />

such as the Chao Phraya River and its tributaries and Bueng Borapet Lake for Nakhon<br />

Sawan; Mae Klong and Pachee rivers for Ratcha Buri: Chao Phaya River for Cha<strong>in</strong>at;<br />

Prach<strong>in</strong> Bun and Hanuman rivers for Prach<strong>in</strong> Buri; Chao Praya, Lop Buri, and Pasak<br />

rivers for Ayutthaya; Pasak and Lop Buri rivers for Lop Bun; Pasak River for Saraburi;<br />

Tach<strong>in</strong> River for Suphan Buri; Tapee, Pak Panang, Pakpoon, and Nakhon Si Thammarat<br />

rivers for Nakhon Si Thammarat; and Songkhla Lake for Phatthalung. Ra<strong>in</strong>fall averages<br />

from 1,042 mm to 2,148 mm, whereas mean temperature ranges from 27.2 °C to<br />

28.8 °C.<br />

Three major <strong>rice</strong>-grow<strong>in</strong>g methods are practiced <strong>in</strong> Thailand: deepwater, directseeded,<br />

and transplanted. The direct-seeded method is widely practiced <strong>in</strong> the central,<br />

eastern, and western regions. In wet seed<strong>in</strong>g, pregerm<strong>in</strong>ated seeds are broadcast over<br />

a puddled field or <strong>in</strong> one with stand<strong>in</strong>g water. This method reduces labor, but it also<br />

results <strong>in</strong> heavier weed <strong>in</strong>festations. To control weeds, <strong>farmers</strong> use a high sow<strong>in</strong>g rate<br />

<strong>of</strong> 125–187 kg ha -1 . But this sow<strong>in</strong>g rate produces poor tiller<strong>in</strong>g and a thick stand,<br />

result<strong>in</strong>g <strong>in</strong> temperature and humidity conducive to spread<strong>in</strong>g disease and <strong>in</strong>creas<strong>in</strong>g<br />

<strong>in</strong>sect pest populations.<br />

Weed problems <strong>in</strong> <strong>rice</strong> <strong>in</strong> Thailand are similar to those <strong>of</strong> other countries <strong>in</strong> the<br />

region. The yield reduction from weed <strong>in</strong>festations ranges from 20% to 80% depend<strong>in</strong>g<br />

on weed species, their density, cropp<strong>in</strong>g season, and weed control practices. Weed<br />

<strong>in</strong>festations are usually higher <strong>in</strong> the wet season than <strong>in</strong> the dry season. The weeds<br />

generally found <strong>in</strong> most direct-seeded areas <strong>in</strong> Thailand are Ech<strong>in</strong>ochloa spp.,<br />

Leptochloa ch<strong>in</strong>ensis (L.) Nees, Jussiaea l<strong>in</strong>ifolia Vahl, Monochoria vag<strong>in</strong>alis (Burm.<br />

f.) Presl., Sphenoclea zeylanica Gaertn., Cyperus difformis L., and C. pulcherrimus<br />

Willd. ex Kunth, among others (DOA 1989).<br />

Official recommendations for weed <strong>management</strong> <strong>in</strong>clude proper land preparation<br />

and level<strong>in</strong>g, use <strong>of</strong> clean seeds, and proper selection and use <strong>of</strong> herbicides (DOAE<br />

1995). In terms <strong>of</strong> <strong>farmers</strong>’ weed control practices, Meenakanit et al (1994) reported<br />

that most <strong>farmers</strong> plow two times, then harrow and puddle the soil before sow<strong>in</strong>g<br />

seeds. Preemergence herbicides such as pretilachlor, butachlor, or oxidiazon are applied<br />

at 6–10 d after seed<strong>in</strong>g (DAS). Herbicides, usually 2,4-D or its derivatives, are<br />

applied 15–20 DAS to control broadleaf weeds that have survived even after the first<br />

application or moved <strong>in</strong> from neighbor<strong>in</strong>g fields. Ch<strong>in</strong>awong (1993) reported that<br />

Farmers' perceptions and practices <strong>in</strong> weed <strong>management</strong> <strong>in</strong> Thailand 187


<strong>farmers</strong> still lack sufficient knowledge <strong>of</strong> herbicide selection and application <strong>in</strong> Nakhon<br />

Pathom Prov<strong>in</strong>ce and other direct-seeded areas.<br />

Water <strong>management</strong> after herbicide application is also considered crucial for effective<br />

weed control. Flood<strong>in</strong>g the field with<strong>in</strong> 10 d gives better control than flood<strong>in</strong>g<br />

the field 10 d after sow<strong>in</strong>g (Bhandhufufalk and Hare 1985). Postemergence herbicides<br />

will be more effective if the water level is controlled to submerge the weeds<br />

(Ch<strong>in</strong>awong 1992). A seed rate <strong>of</strong> 100 kg ha -1 is suitable to m<strong>in</strong>imize weed problems<br />

<strong>in</strong> direct-seeded <strong>rice</strong> (Kanchanomai 1981). Time <strong>of</strong> plant<strong>in</strong>g also affects the weed<br />

population. Dur<strong>in</strong>g the ra<strong>in</strong>y season, S. zeylanica and Cyperus difformis occur more<br />

than <strong>in</strong> the dry season, whereas Ech<strong>in</strong>ochloa spp. and L. ch<strong>in</strong>ensis occur more <strong>in</strong> wetseeded<br />

<strong>rice</strong>.<br />

Methods<br />

Data collection<br />

The personal <strong>in</strong>terview was the ma<strong>in</strong> method used to collect data on <strong>farmers</strong>' perceptions,<br />

attitudes, and practices <strong>in</strong> <strong>rice</strong> weed <strong>management</strong>. The <strong>in</strong>strument, first written<br />

<strong>in</strong> English, was translated <strong>in</strong>to Thai and back-translated to English to ensure that the<br />

translation reflected the <strong>in</strong>tended mean<strong>in</strong>g <strong>of</strong> the terms used.<br />

Questionnaire pretest<strong>in</strong>g<br />

The translated questionnaire was subsequently pretested with <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Chai<br />

Nat to determ<strong>in</strong>e the clarity <strong>of</strong> the word<strong>in</strong>g and translation <strong>of</strong> the technical terms<br />

used, the logical sequence <strong>of</strong> the questions, adequacy <strong>of</strong> the questionnaire <strong>in</strong>structions,<br />

and the estimated duration <strong>of</strong> the <strong>in</strong>terview. Two rounds <strong>of</strong> pretest<strong>in</strong>g were<br />

undertaken to try out the questionnaire us<strong>in</strong>g <strong>in</strong>dividual <strong>in</strong>terviews and focus group<br />

<strong>in</strong>terviews as the primary research techniques. In the first pretest, <strong>in</strong>dividual <strong>in</strong>terviews<br />

were conducted with <strong>rice</strong> <strong>farmers</strong> to solicit their feedback to the prototype<br />

questionnaire. The second pretest <strong>in</strong>volved focus group discussions to further test the<br />

revised <strong>in</strong>strument. Results <strong>of</strong> the pretest served as the basis for revisions <strong>in</strong> the questionnaire<br />

and logistical arrangements for the fieldwork.<br />

The survey was conducted by a team <strong>of</strong> Department <strong>of</strong> Agricultural Extension<br />

(DOAE) extension technicians (kaset tambon) and Plant Protection Service Unit<br />

(PPSU) technicians.<br />

Sampl<strong>in</strong>g procedure<br />

A total <strong>of</strong> 300 <strong>rice</strong> <strong>farmers</strong> who practiced direct seed<strong>in</strong>g were selected from eight<br />

prov<strong>in</strong>ces with<strong>in</strong> the Chao Phraya, Bang Pakong, and Thach<strong>in</strong> bas<strong>in</strong>s <strong>in</strong> the central<br />

pla<strong>in</strong>. These are Nakhon Sawan, Cha<strong>in</strong>at, Lop Buri, Saraburi, Ayutthaya, Prach<strong>in</strong> Buri,<br />

Suphan Buri, and Ratcha Buri and two prov<strong>in</strong>ces <strong>in</strong> the Pak Panang bas<strong>in</strong> <strong>of</strong> Nakhon<br />

Si Thammarat Prov<strong>in</strong>ce and Phatthalung <strong>of</strong> the Songkhla Lake bas<strong>in</strong> (Fig. 1). In each<br />

prov<strong>in</strong>ce, 30 <strong>farmers</strong> were selected randomly from two or three villages <strong>in</strong> one subdistrict.<br />

188 Meenakanit and Vongsaroj


Figure 1. Location map <strong>of</strong> survey areas <strong>in</strong> Thailand.<br />

Farmers' perceptions and practices <strong>in</strong> weed <strong>management</strong> <strong>in</strong> Thailand 189


Data process<strong>in</strong>g and analysis<br />

Survey data were encoded us<strong>in</strong>g a spreadsheet program and processed <strong>in</strong> a microcomputer<br />

us<strong>in</strong>g the Statistical Package for Social Sciences (SPSS ® ). In most cases,<br />

percentages were based on the total sample. Likewise, where multiple responses were<br />

obta<strong>in</strong>ed, the sample size was used to compute the percentages.<br />

Results<br />

Sociodemographic pr<strong>of</strong>ile <strong>of</strong> <strong>farmers</strong><br />

The ages <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong>terviewed ranged from 20 to 80, with more than half belong<strong>in</strong>g<br />

to the 41–60 age bracket. This age distribution reflects the one found <strong>in</strong> previous<br />

studies <strong>in</strong> the Philipp<strong>in</strong>es (Heong et al 1995b). A large proportion <strong>of</strong> the <strong>farmers</strong><br />

were either owner-operators (60%) or tenants (59%). Only one respondent was a hired<br />

laborer. Most (91%) had 1–4 years <strong>of</strong> primary school<strong>in</strong>g. Only 3% reported that they<br />

had not attended school at all and few respondents went to high school (5%) and<br />

college (1%).<br />

Information sources<br />

As <strong>in</strong> other farm surveys, the extension technician appears to play a key role as a<br />

source <strong>of</strong> <strong>in</strong>formation for <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Thailand. For farm<strong>in</strong>g <strong>in</strong>formation, the extension<br />

technician was named as a source by 59% <strong>of</strong> the <strong>farmers</strong>, followed by relatives<br />

(13%), other <strong>farmers</strong> (8%), and PPSU technicians (6%). For advice on pest<br />

<strong>management</strong>, 73% <strong>of</strong> the <strong>farmers</strong> consulted the extension technician. Only 11% reported<br />

that they approached the PPSU technician. Other sources <strong>of</strong> pest <strong>management</strong><br />

advice cited were other <strong>farmers</strong> (4%), relatives (5%), and the radio (2%). These results<br />

are consistent with f<strong>in</strong>d<strong>in</strong>gs <strong>of</strong> earlier studies on <strong>farmers</strong>' sources <strong>of</strong> <strong>in</strong>formation<br />

on crop protection.<br />

Agronomic practices<br />

Rice varieties planted. Farmers reported plant<strong>in</strong>g a number <strong>of</strong> <strong>rice</strong> varieties for both<br />

the first and second cropp<strong>in</strong>g. For the first crop, Lueng Pratiew, a local variety. was<br />

the cultivar grown by 44% <strong>of</strong> the respondents. It is taller than most hybrid varieties<br />

and commands a good market value; this expla<strong>in</strong>s its popularity among <strong>farmers</strong>. It<br />

was followed by Cha<strong>in</strong>at (34%) and Supanburi (11%). Other local varieties grown by<br />

<strong>farmers</strong> are Kao Lueng, Puang Thong Pho Thong, Lueng Yai, Pathum 2, Lueng Tahaeng,<br />

Kao Ta-haeng, Sai Ngern, Opol, Malay, and Kao Samut. For the second crop,<br />

Cha<strong>in</strong>at topped the list <strong>of</strong> varieties planted by <strong>farmers</strong> (57%), followcd by Supanburi<br />

(18%), local varieties (15%), and IR23 (6%).<br />

Sources <strong>of</strong> <strong>rice</strong> seeds. Farmers’ sources <strong>of</strong> <strong>rice</strong> seeds consisted <strong>of</strong> both personal<br />

and <strong>in</strong>stitutional sources. Nearly half <strong>of</strong> the <strong>farmers</strong> (49%) obta<strong>in</strong>ed their <strong>rice</strong> seeds<br />

for plant<strong>in</strong>g from nearby <strong>farmers</strong>, usually their neighbors. The popularity <strong>of</strong> <strong>farmers</strong>’<br />

seeds has to do with access and cost. Farmers found other <strong>farmers</strong>’ seeds cheaper and<br />

easier to obta<strong>in</strong> than government seeds. Almost a third (29%) procured seeds from<br />

190 Meenakanit and Vongsaroj


oth the seed center and DOAE seed exchange project. Some 23% used seeds from<br />

their own stock and 11% got seeds from the Department <strong>of</strong> Agriculture (DOA). Others<br />

bought seeds from the <strong>rice</strong> mill (3%), local shop (2%), and cooperative (1%).<br />

Rice area. Most (92.3%) <strong>of</strong> the <strong>rice</strong> <strong>farmers</strong> <strong>in</strong>terviewed had direct-seeded their<br />

crop. For the first crop, 39.4% <strong>of</strong> the <strong>farmers</strong> <strong>in</strong> the sample had <strong>rice</strong> farms <strong>of</strong> 3.3–6.4<br />

ha, followed by 39% who managed


Seed<strong>in</strong>g rate. In the first crop, 56% <strong>of</strong> the <strong>farmers</strong> used a seed<strong>in</strong>g rate <strong>of</strong> 63–125<br />

kg ha -1 , followed by 36% who seeded their farms at a rate <strong>of</strong> 126–187.5 kg ha -1 . Some<br />

6% used a very low rate (187.5 kg<br />

ha -1 ) . The distribution <strong>of</strong> seed<strong>in</strong>g rates for the second crop closely parallels that <strong>of</strong> the<br />

first crop, with 46% <strong>of</strong> the <strong>farmers</strong> us<strong>in</strong>g a rate <strong>of</strong> 126–187.5 kg ha -1 , followed by 42%<br />

who used 63–125 kg ha -1 <strong>of</strong> <strong>rice</strong> seeds. In the dry season. <strong>farmers</strong> plant a shorter <strong>rice</strong><br />

variety. Cha<strong>in</strong>at, which requires a higher seed rate. In contrast, <strong>in</strong> the wet season,<br />

<strong>farmers</strong> grow Leung Pratiew, a taller plant type. The data show that, <strong>in</strong> both seasons,<br />

<strong>farmers</strong> used a higher seed rate than what has been recommended. perhaps to obta<strong>in</strong> a<br />

thicker <strong>rice</strong> canopy that could shade out weeds, to have a better crop stand, and to<br />

compensate for the poor germ<strong>in</strong>ation <strong>of</strong> the plant<strong>in</strong>g materials.<br />

Cost <strong>of</strong> farm <strong>in</strong>puts. Most <strong>farmers</strong> spent between 400 for it last season.<br />

Cost <strong>of</strong> pest <strong>management</strong> <strong>in</strong>puts. For pest <strong>management</strong>, <strong>farmers</strong> seem to have<br />

some difficulty estimat<strong>in</strong>g the cost <strong>of</strong> <strong>in</strong>secticides and fungicides used as shown by<br />

the large proportion <strong>of</strong> no answers. For 75% <strong>of</strong> the <strong>farmers</strong>, herbicides cost from


Table 3. Types <strong>of</strong> weeds observed by <strong>farmers</strong> <strong>in</strong><br />

Thailand <strong>in</strong> 1996.<br />

Weeds<br />

First cropp<strong>in</strong>g Second cropp<strong>in</strong>g<br />

No. % No. %<br />

Grassy weeds 198 66.0 196 65.3<br />

Broadleaf weeds 8 2.7 8 2.7<br />

Sedges 58 19.3 56 18.7<br />

Ferns 1 0.3 1 0.3<br />

Don’t know 35 11.7 39 13.0<br />

Table 4. Most important weeds observed by <strong>farmers</strong> <strong>in</strong> Thailand<br />

<strong>in</strong> 1996.<br />

Weeds<br />

Farmers<br />

No. %<br />

Grassy weeds 252 73.0<br />

Leptochloa ch<strong>in</strong>ensis (L.) Nees 85 33.7<br />

Ech<strong>in</strong>ochloa crus-galli (L.) Beauv. 64 25.4<br />

Sorghum nitidum 26 10.3<br />

Ech<strong>in</strong>ochloa colona (L.) L<strong>in</strong>k 25 9.9<br />

Brachiaria mutica L. 10 3.9<br />

Miscellaneous 29 10.5<br />

Miscellaneous weeds 93 27.0<br />

Monochoria vag<strong>in</strong>alis (Bum. f.) Presl. 7 7.5<br />

Ipomoea aquatica Forsk. 18 19.4<br />

Marsilea crenata Presl. 14 15.0<br />

lschaemum rugosum Salisb. 46 49.5<br />

Miscellaneous 8 8.6<br />

and Ech<strong>in</strong>ochloa spp. were cited by 34% and 75% <strong>of</strong> the <strong>farmers</strong>. respectively. Grassy<br />

weeds need the same habitat as young <strong>rice</strong> plants: therefore, Leptochloa and<br />

Ech<strong>in</strong>ochloa were dom<strong>in</strong>ant. The dom<strong>in</strong>ance <strong>of</strong> grassy weeds is <strong>in</strong>fluenced by soil<br />

conditions, particularly less soil moisture. On the other hand, weeds with broad leaves<br />

such as Monochoria vag<strong>in</strong>alis need a flooded condition, which occurs a few weeks<br />

after seed<strong>in</strong>g, thus caus<strong>in</strong>g no problems to the <strong>rice</strong> plants at their early stage.<br />

Sources <strong>of</strong> <strong>rice</strong> weeds. Accord<strong>in</strong>g to 49% <strong>of</strong> the <strong>farmers</strong>, weeds come from the<br />

soil, followed by 26% who reported that weeds are mixed with <strong>rice</strong> seeds, and 13%<br />

who <strong>in</strong>dicated that they are brought <strong>in</strong> by irrigation water. Other <strong>farmers</strong> specified<br />

that weed seeds are blown <strong>in</strong> by the w<strong>in</strong>d (13%), mixed with animal manure (2%).<br />

scattered by cattle (1 %), and come from a neighbor’s field (1%). As a seed bank, the<br />

soil is the ma<strong>in</strong> source <strong>of</strong> weed seeds because every season, before or after <strong>rice</strong> is<br />

harvested, shedd<strong>in</strong>g weed seeds are buried <strong>in</strong> the soil by plow<strong>in</strong>g (Mortimer 1994). At<br />

harvest time, seeds <strong>of</strong> L. ch<strong>in</strong>ensis, E. crus-galli, M. vag<strong>in</strong>alis, and Ech<strong>in</strong>ochloa spp.<br />

get mixed with <strong>rice</strong> seeds because their ripen<strong>in</strong>g period occurs at about the same time.<br />

Farmers' perceptions and practices <strong>in</strong> weed <strong>management</strong> <strong>in</strong> Thailand 193


Table 5. Herbicides applied by <strong>farmers</strong> (n=231) at various crop stages <strong>in</strong> Thailand<br />

<strong>in</strong> 1996.<br />

Herbicide<br />

Stage<br />

Seedbed Seedl<strong>in</strong>g Vegetative Panicle Reprolnitiation<br />

ductive<br />

Preemergence 6 (46.1%) a 113 (68.1%) 29 (35.4%) 5 (50%) 3 (50%)<br />

Preplant<strong>in</strong>g 2 (15.4%) 23 (13.8%) 27 (32.9%) 0 (0%) 0 (0%)<br />

Postemergence 5 (38.5%) 30 (18.1%) 2 (2.4%) 0 (0%) 3 (50%)<br />

No answer 0 (0%) 0 (0%) 2 (2.4%) 0 (0%) 3 (50%)<br />

Total 13 (5.6%)' 166 (71.9%) 82 (35.5%) 10 (4.3%) 6 (2.6%)<br />

a Column totals.<br />

b Row totals.<br />

Effect <strong>of</strong> weeds on <strong>rice</strong>. Asked what weeds do to the <strong>rice</strong>ficld, 80% <strong>of</strong> the <strong>farmers</strong><br />

<strong>in</strong>dicated that weeds reduce <strong>rice</strong> yield, followed by 74% who said that weeds lower<br />

the quality and p<strong>rice</strong> <strong>of</strong> <strong>rice</strong> and 49% who stated that they serve as hosts for diseases<br />

and rodents. Weeds reduce <strong>rice</strong> yield, an effect that co<strong>in</strong>cided with past reports <strong>of</strong><br />

<strong>farmers</strong> to the government about Oryza rufipogon Griff., Ischaemum rugosum Salisb.,<br />

Chara zeylanica Willd., and Fimbristylis miliacea (L.) Vahl hav<strong>in</strong>g caused yield losses<br />

<strong>in</strong> Prach<strong>in</strong> Buri, Phra Nakhon Si, Ayutthaya, Surat Thani, and Ubon Ratchathani prov<strong>in</strong>ces<br />

(Vongsaroj 1991).<br />

Weed control methods. To determ<strong>in</strong>e weed control methods that are familiar to<br />

<strong>farmers</strong>, they were asked how they could reduce weed problems <strong>in</strong> their <strong>rice</strong>fields.<br />

The chemical method or herbicide application was the option known to 77% <strong>of</strong> the<br />

<strong>farmers</strong>, followed by the mechanical method such as plow<strong>in</strong>g or thorough land preparation,<br />

which 53% <strong>of</strong> them mentioned. Other methods reported were flood<strong>in</strong>g the<br />

field (0.7%) and apply<strong>in</strong>g salt on weeds (0.3%).<br />

Herbicides applied. Overall, 71.9% <strong>of</strong> the <strong>farmers</strong> made herbicide applications<br />

at the seedl<strong>in</strong>g stage, followed by the vegetative stage (35.5%) (Table 5). Few applied<br />

herbicides at the seedbed stage (5.6%), panicle <strong>in</strong>itiation (4.3%), or reproductive stage<br />

(2.6%). With<strong>in</strong> the seedbed stage, most <strong>of</strong> the herbicides applied were preemergence<br />

(46.1%), followed by postemergence (38.5%). At the seedl<strong>in</strong>g stage, 68.1% used<br />

preemergence herbicides. At the vegetative stage. the types <strong>of</strong> herbicide used were<br />

somewhat evenly distributed among preemergence (35.4%), preplant<strong>in</strong>g (32.9%), and<br />

postemergence (29.3%).<br />

Weed<strong>in</strong>g operation<br />

Tim<strong>in</strong>g <strong>of</strong> weed<strong>in</strong>g. Accord<strong>in</strong>g to 58% <strong>of</strong> the <strong>farmers</strong>, weed<strong>in</strong>g was carried out dur<strong>in</strong>g<br />

the vegetative stage, followed by 23% who performed weed<strong>in</strong>g at the seedl<strong>in</strong>g stage<br />

and 17% who did so at panicle <strong>in</strong>itiation. A few did so before the seedl<strong>in</strong>g stage (3%)<br />

and at the reproductive stage (9%).<br />

Persons responsible for weed<strong>in</strong>g. Some 80% <strong>of</strong> the respondents said that they<br />

were responsible for weed<strong>in</strong>g <strong>in</strong> their <strong>rice</strong>fields, 31% reported that their spouse per-<br />

194 Meenakanit and Vongsarol


formed weed<strong>in</strong>g, and 11% specified hired labor. A few (7%) cited other persons such<br />

as children or neighbors.<br />

Cost <strong>of</strong> weed<strong>in</strong>g. Exactly 80% <strong>of</strong> the <strong>farmers</strong> reported spend<strong>in</strong>g from


Table 6. Water <strong>management</strong> procedures applied by <strong>farmers</strong> (n=291) <strong>in</strong> the paddy at various<br />

crop stages <strong>in</strong> Thailand <strong>in</strong> 1996.<br />

Stage<br />

Seedbed Seedl<strong>in</strong>g Vegetative Panicle Reproductive<br />

<strong>in</strong>itiation<br />

Flooded field with 35 (77.8%) b 247 (84.9%) 156 (53.6%) 113 (38.8%) 24 (8.2%)<br />

1-40 cm water<br />

Increase water 7 (15.6%) 9 (3.1%) 7 (2.4%) 7 (2.4%) 6 (2.1%)<br />

level<br />

Don’t know 3 (6.7%) 1(0.3%) 0 (0.0%) 0 (0.0%) 3 (1.0%)<br />

Total c 45 (15.5%) 257 (88.3%) 163 (56%) 120 (41.2%) 33 (11.3%)<br />

a Multiple responses.<br />

b Column totals.<br />

c Row totals.<br />

Table 7. Farmers' attitudes toward weeds and weed <strong>management</strong> <strong>in</strong> Thailand <strong>in</strong><br />

1996.<br />

Attitude statements<br />

Agree No op<strong>in</strong>ion Disagree<br />

No. % No. % No. %<br />

Early detection <strong>of</strong> weeds is 293 97.7 0 0 5 1.7<br />

important.<br />

Weed control <strong>in</strong>volves a lot <strong>of</strong> 219 73.0 9 3.0 68 22.7<br />

hard work and is not beneficial.<br />

Seed clean<strong>in</strong>g is a waste <strong>of</strong> 196 65.3 14 4.7 86 28.7<br />

time.<br />

Good land preparation will 280 93.3 1 0.3 16 5.3<br />

control weeds.<br />

Synchronized plant<strong>in</strong>g can help 205 68.3 15 5.0 74 24.7<br />

reduce the weed population.<br />

Hand weed<strong>in</strong>g is a waste <strong>of</strong> 233 77.7 6 2.0 58 19.3<br />

time.<br />

Apply<strong>in</strong>g herbicides at the 272 90.7 4 1.3 15 5.0<br />

recommended dosage is<br />

important.<br />

Direct seed<strong>in</strong>g or broadcast<strong>in</strong>g 161 53.7 5 1.7 52 17.3<br />

can <strong>in</strong>crease the weed population.<br />

Herbicides cannot control the<br />

147 49.0 17 5.7 121 40.3<br />

weed problems <strong>in</strong> my field.<br />

A modern, progressive farmer 144 38.0 12 4.0 172 57.3<br />

should use a lot <strong>of</strong> herbicides<br />

for weed control.<br />

To atta<strong>in</strong> higher yields, my 295 98.4 1 0.3 1 0.3<br />

crop should be free from weeds.<br />

resorted to hired labor (6.7%), children (2.7%), parents (2.3%), neighbors (0.3%),<br />

and an irrigation <strong>of</strong>ficer (0.3%).<br />

Water <strong>management</strong> cost from $400 per season. Results showed that 59%<br />

<strong>of</strong> the <strong>farmers</strong> reported spend<strong>in</strong>g between


Attitudes toward weeds<br />

To determ<strong>in</strong>e <strong>farmers</strong>’ attitudes toward weeds and weed <strong>management</strong>, they were asked<br />

to express their agreement or disagreement with 11 attitude statements (Table 7).<br />

Based on respondents’ choices <strong>in</strong> 5 <strong>of</strong> the 11 attitude statements on key issues <strong>in</strong> weed<br />

<strong>management</strong>, it appears that they have the proper attitudes toward weed <strong>management</strong>.<br />

As shown <strong>in</strong> Table 7, 97.7% <strong>of</strong> the <strong>farmers</strong> agreed that early detection <strong>of</strong> weeds is<br />

important, good land preparation will control weeds (93.3%), synchronized plant<strong>in</strong>g<br />

can help reduce the weed population (68.3%), apply<strong>in</strong>g herbicides at the recommended<br />

dosage is important (90.7%), and, to atta<strong>in</strong> higher yields, the <strong>rice</strong> crop should be free<br />

from weeds (98.4%).<br />

On the other hand, 73% <strong>of</strong> the <strong>farmers</strong> believed that weed control <strong>in</strong>volves a lot<br />

<strong>of</strong> hard work and is not beneficial. that seed clean<strong>in</strong>g is a waste <strong>of</strong> time (65.3%). and<br />

that hand weed<strong>in</strong>g is a waste <strong>of</strong> time (77.7%). Respondents expressed some ambivalence<br />

about the other attitude statements (Table 7).<br />

Discussion<br />

Most <strong>of</strong> the weeds reported by <strong>farmers</strong> are grasses and sedges. Infestation <strong>of</strong> grassy<br />

weeds—namely, Ech<strong>in</strong>ocloa crus-galli and Leptochloa ch<strong>in</strong>ensis— cause a high yield<br />

reduction, whereas sedges, such as Fimbrystylis miliacea and Cyperus difformis. br<strong>in</strong>g<br />

about lodg<strong>in</strong>g, which likewise results <strong>in</strong> a yield reduction. Weeds orig<strong>in</strong>ate from many<br />

sources: from the soil, from contam<strong>in</strong>ated <strong>rice</strong> seeds, and from irrigation water. Accord<strong>in</strong>g<br />

to scientists, the weed seed bank builds up from the constant shedd<strong>in</strong>g <strong>of</strong><br />

weed seeds.<br />

Most <strong>farmers</strong> <strong>in</strong> Thailand use herbicides. The size <strong>of</strong> the <strong>rice</strong>land be<strong>in</strong>g cultivated<br />

and the effectiveness, relatively lower cost, and availability <strong>of</strong> herbicides, compared<br />

with other weed control methods such as <strong>in</strong>creased seed<strong>in</strong>g rate and water <strong>management</strong>,<br />

might have contributed to the dependence on herbicides <strong>in</strong> direct-seeded<br />

areas. In addition, the promotion <strong>of</strong> herbicides <strong>in</strong> box<strong>in</strong>g programs on television has<br />

directly encouraged use, whereas farmer tra<strong>in</strong><strong>in</strong>g programs might have unconsciously<br />

promoted herbicide use when encourag<strong>in</strong>g <strong>farmers</strong> to shift to direct seed<strong>in</strong>g.<br />

Farmers’ knowledge gaps on the importance <strong>of</strong> weed identification and the relationship<br />

to tim<strong>in</strong>g and choice <strong>of</strong> appropriate herbicides for effective weed <strong>management</strong><br />

open up an <strong>in</strong>tervention opportunity <strong>in</strong> weed <strong>management</strong>. In particular, farmer<br />

tra<strong>in</strong><strong>in</strong>g programs should emphasize the relationships among weed identification, water<br />

<strong>management</strong>, and the appropriate herbicides to use at critical crop stages.<br />

The importance <strong>of</strong> land level<strong>in</strong>g presents another <strong>in</strong>tervention po<strong>in</strong>t for Thai <strong>farmers</strong>.<br />

In Malaysia, one <strong>of</strong> the key factors <strong>in</strong> effective weed <strong>management</strong> was land level<strong>in</strong>g.<br />

Ho (1994) reported how a strategic extension campaign to motivate and educate<br />

<strong>farmers</strong> on the proper use <strong>of</strong> herbicides and nonchemical methods succeeded <strong>in</strong> br<strong>in</strong>g<strong>in</strong>g<br />

about awareness that weeds are manageable and land level<strong>in</strong>g is important. As a result<br />

<strong>of</strong> the extension campaign, Ech<strong>in</strong>ochloa <strong>in</strong>festations were reduced by 66% and<br />

<strong>farmers</strong>’ use <strong>of</strong> correct herbicide dosages <strong>in</strong>creased by 21%. The <strong>farmers</strong>’ practice <strong>of</strong><br />

land level<strong>in</strong>g <strong>in</strong>creased markedly, from 17% before the campaign to 89% after it,<br />

Farmers’ perceptions and practices <strong>in</strong> weed <strong>management</strong> <strong>in</strong> Thailand 197


which might have accounted for the <strong>in</strong>crease <strong>in</strong> herbicide effectiveness (Adhikarya<br />

1994). In Thailand, future tra<strong>in</strong><strong>in</strong>g programs should emphasize land level<strong>in</strong>g to facilitate<br />

water <strong>management</strong> and reduce weed <strong>in</strong>festations. With good land level<strong>in</strong>g, water<br />

can be used to control weeds effectively.<br />

Thai <strong>farmers</strong> seem to have the proper attitudes <strong>in</strong> weed <strong>management</strong>; this should<br />

be considered a strength and it opens the way for future <strong>in</strong>tervention opportunities.<br />

But although Thai <strong>farmers</strong> realize the importance <strong>of</strong> weed control, their attitudes toward<br />

carry<strong>in</strong>g it out are not consistent; many consider it a waste ot time. Perhaps this<br />

has to do with their knowledge gap on how efficient and effective weed <strong>management</strong><br />

should be carried out.<br />

Some <strong>farmers</strong> consider the <strong>rice</strong> variety as a means <strong>of</strong> m<strong>in</strong>imiz<strong>in</strong>g, if not totally<br />

controll<strong>in</strong>g, weeds <strong>in</strong> the field. Tall varieties are popular because <strong>of</strong> their market value,<br />

their larger leaves, and their horizontal root distribution, which promotes competition<br />

with weeds. The hybrid variety has these characteristics, but the stem is shorter, the<br />

leaves are more erect, and the root is vertical, which makes the hybrid <strong>in</strong>ferior <strong>in</strong><br />

competition with weeds. It is also more responsive to fertilizer than the local variety<br />

and can be grown throughout the year.<br />

The size <strong>of</strong> the <strong>rice</strong> farm was found to play an important role <strong>in</strong> <strong>farmers</strong>’ weed<br />

<strong>management</strong> practices. On smaller farms, where manual methods are usually used,<br />

weed control is <strong>of</strong>ten not done effectively because <strong>farmers</strong> tend to wait before controll<strong>in</strong>g<br />

any leftover weed species. In contrast, larger farms tend to achieve more efficient<br />

weed control because <strong>of</strong> herbicide applications.<br />

References<br />

Adhikarya R. 1994. Strategic extension campaign: a participatory-oriented method <strong>of</strong> agriculrural<br />

extension. Rome (Italy): FAO.<br />

Bhandhufufalk A, Hare CJ. 1985. S<strong>of</strong>it 300 EC: practical considerations and benefits from its<br />

use <strong>in</strong> wet sown <strong>rice</strong> <strong>in</strong> Thailand. Proc. <strong>Asia</strong>n Pacific Weed Sci. Soc. Conf. 10(1): 168-178.<br />

Ch<strong>in</strong>awong S. 1992. Effect <strong>of</strong> water level on the efficacy <strong>of</strong> several herbicides to barnyard<br />

grass. Weed Res. (Japan) 37(3):248-250.<br />

Ch<strong>in</strong>awong S. 1993. Comb<strong>in</strong>ed application <strong>of</strong> herbicides for weed control <strong>in</strong> wet-seeded <strong>rice</strong> <strong>in</strong><br />

Thailand. Japan J. Trop. Agric. 73(3):305-307.<br />

Choutummatut S. Hongtrakul V, Thongdeethae P, Kwasard P. Junhuatong S, Makdee K. 1994.<br />

Effect <strong>of</strong> herbicides at different stages <strong>of</strong> Ech<strong>in</strong>ochloa spp. Annual report. Bangkok (Thailand):<br />

Pathum Thani Rice Research Center, Rice Research Institute. Department <strong>of</strong> Agriculture.<br />

Day BE. 1972. Nonchemical weed control. In: <strong>Pest</strong> control strategies for the future. Wash<strong>in</strong>gton<br />

(D.C., USA): National Academy <strong>of</strong> Sciences.<br />

De Datta SK. 1990. Technology and economics <strong>of</strong> weed control <strong>in</strong> small <strong>rice</strong> farms <strong>in</strong> the <strong>Asia</strong>n<br />

tropics. In: Weed problems and their economic <strong>management</strong>. Proceed<strong>in</strong>gs <strong>of</strong> the 12th<br />

<strong>Asia</strong>n-Pacific Weed Science Society and Korean Society <strong>of</strong> Weed Science, Seoul, Korea.<br />

p. 23-37.<br />

Denn<strong>in</strong>g GL, Jayasuriya SK, Huey BA. 1983. Constra<strong>in</strong>ts to the adoption <strong>of</strong> new weed control<br />

technology <strong>in</strong> <strong>rice</strong>. In: Weed control <strong>in</strong> <strong>rice</strong>. Los Baños (Philipp<strong>in</strong>es): <strong>IRRI</strong>. p 345-360.<br />

198 Meenakanit and Vongsaroj


DOA (Department <strong>of</strong> Agriculture). 1989. Weed control handbook. Botany and Weed Science<br />

Division. 66 p.<br />

DOAE (Department <strong>of</strong> Agricultural Extension). 1995. Weed control group. Plant Protection<br />

Division. 15 p.<br />

DOAE (Department <strong>of</strong> Agricultural Extension). 1994. Agricultural statistics (2537). Plann<strong>in</strong>g<br />

Division, Bangkok (Thailand): DOAE.<br />

Heong KL. Teng PS, Moody K. 1995a. Manag<strong>in</strong>g <strong>rice</strong> pests with less chemicals. GeoJournal<br />

35(3):337-349.<br />

Heong KL, Escalada, MM, Lazaro. AA. 1995b. Misuse <strong>of</strong> pesticides among <strong>rice</strong> <strong>farmers</strong> <strong>in</strong><br />

Leyte, Philipp<strong>in</strong>es. In: P<strong>in</strong>gali PL. Roger PA. editors. Impact <strong>of</strong> pesticides on <strong>farmers</strong>'<br />

health and the <strong>rice</strong> environment. Noewell (Mass., USA): Kluwer Academic Publishers<br />

and Manila (Philipp<strong>in</strong>es): <strong>International</strong> Rice Research Institute. p 97-108.<br />

Ho NK. 1991. Integrated weed <strong>management</strong> <strong>of</strong> <strong>rice</strong> <strong>in</strong> Malaysia: some aspects <strong>of</strong> the Muda<br />

Irrigation Scheme. Paper presented at the FAO-CAB <strong>International</strong> Workshop on Appropriate<br />

Weed Control <strong>in</strong> Southeast <strong>Asia</strong>. 17-18 May 1994, Kuala Lumpur, Malaysia.<br />

Jirström M. 1996. In the wake <strong>of</strong> the Green Revolution: environment and socio-economic<br />

consequences <strong>of</strong> <strong>in</strong>tensive <strong>rice</strong> agriculture — the problems <strong>of</strong> weeds <strong>in</strong> Muda, Malaysia.<br />

Sweden: Lund University Press.<br />

Kanchanomai P. 1981, Pre-germ<strong>in</strong>ated direct-seeded <strong>rice</strong>—new method<strong>of</strong> <strong>rice</strong> cultivation <strong>in</strong><br />

Thailand. Department <strong>of</strong> Agriculture, M<strong>in</strong>istry <strong>of</strong> Agriculture and Cooperatives. 41 p.<br />

Kanchanomai P, Vongsaroj P, Kongkanond A, Supapoj N, Chethul C, Chaimanit L. 1970. Comparisons<br />

on performance <strong>of</strong> direct-seeded <strong>rice</strong> and transplanted <strong>rice</strong> under chemical control<br />

treatment. In: Annual report. Technicial Division. Department <strong>of</strong> Agriculture. p 911-<br />

918.<br />

Labrada R, Parker C. 1994. Weed control <strong>in</strong> the context <strong>of</strong> <strong>in</strong>tegrated pest <strong>management</strong>. In<br />

Weed <strong>management</strong> for develop<strong>in</strong>g countries. FAO Plant Production and Protection Paper<br />

120. Rome: FAO. p 1-8.<br />

Meenakanit L, Tanaseth A, Nuchporn S. 1994. Report on eradication campaign on Ech<strong>in</strong>ochloa<br />

spp. and Leptochloa pp. Paper presented at the National Weed Science Conference. Kon<br />

Kaen, Thailand. p 3-10.<br />

Moody K. 1993. Weed control <strong>in</strong> wet-seeded <strong>rice</strong> <strong>in</strong> tropical <strong>Asia</strong>. Extension Bullet<strong>in</strong> No. 364.<br />

Taiwan: ASPAC Food & Fertilizer Technology Center.<br />

Mortimer AM. 1994. The classification and ecology <strong>of</strong> weeds. In: Labrada R. Caseley JC,<br />

Parker C, editors. Weed <strong>management</strong> for develop<strong>in</strong>g countries. FAO Plant Production and<br />

Protection Paper 120. Rome: FAO. p 11-26,<br />

Panitchpat W. 1994. Improved <strong>rice</strong> direct seed<strong>in</strong>g <strong>in</strong> Thailand. Paper presented at the Japan<br />

Research Centre for Agricultural Science (JARCAS) Conference on Rice Direct Seed<strong>in</strong>g<br />

Culture, 4-5 Feb 1994, Tsukuba, Japan.<br />

Vongsaroj P. 1991. Research and development for weed control <strong>in</strong> <strong>rice</strong>. In: Technical Bullet<strong>in</strong>,<br />

Department <strong>of</strong> Agriculture, M<strong>in</strong>istry <strong>of</strong> Agriculture and Cooperatives.<br />

Notes<br />

Authors’ addresses: L. Meenakanit, Department <strong>of</strong> Agricultural Extension (DOAE), Bangkok,<br />

Thailand 10900; P. Vongsaroj, Department <strong>of</strong> Agriculture (DOA), Bangkok, Thailand<br />

10900.<br />

Citation: Heong, KL. Escalada MM, editors. 1997. <strong>Pest</strong> <strong>management</strong> <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong>.<br />

Manila (Philipp<strong>in</strong>es): <strong>International</strong> Rice Research Institute.<br />

Farmers' perceptions and practices <strong>in</strong> weed <strong>management</strong> <strong>in</strong> Thailand 199


CHAPTER 14<br />

The chang<strong>in</strong>g role <strong>of</strong> women<br />

<strong>in</strong> <strong>rice</strong> pest <strong>management</strong><br />

<strong>in</strong> central Thailand<br />

L. Meenakanit, M.M. Escalada, and K.L. Heong<br />

We conducted a survey <strong>of</strong> 221 women <strong>farmers</strong> <strong>in</strong> central Thailand to<br />

assess the role <strong>of</strong> women <strong>in</strong> <strong>rice</strong> pest <strong>management</strong>, analyze associated<br />

factors, and determ<strong>in</strong>e tra<strong>in</strong><strong>in</strong>g needs to improve pest <strong>management</strong><br />

knowledge and practices. Most <strong>of</strong> the women <strong>farmers</strong> were<br />

31-40 years old, married, had a primary education, and were <strong>in</strong>volved<br />

<strong>in</strong> all <strong>rice</strong> production operations. To enable them to engage <strong>in</strong><br />

<strong>rice</strong> farm<strong>in</strong>g, most women had to give up housework and other domestic<br />

responsibilities.<br />

Most <strong>of</strong> the women <strong>farmers</strong> <strong>in</strong>terviewed perceived that the brown<br />

planthopper was the most serious <strong>in</strong>sect pest. To control pests,<br />

most used pesticides and applied their first sprays with<strong>in</strong> the first<br />

30 days after plant<strong>in</strong>g. <strong>Pest</strong>icide application frequencies ranged from<br />

1 to 10 per season, with 1-3 times as the most common. Decisions<br />

on the amount <strong>of</strong> money for pesticides were made by the woman or<br />

a male household member. About a third <strong>of</strong> the women <strong>farmers</strong> <strong>in</strong>terviewed<br />

reported apply<strong>in</strong>g pesticides themselves. Most were aware<br />

<strong>of</strong> pesticide health hazards and more than half reported that they<br />

sometimes experienced illness after spray<strong>in</strong>g. About half had attended<br />

some form <strong>of</strong> pest <strong>management</strong> tra<strong>in</strong><strong>in</strong>g and among the untra<strong>in</strong>ed<br />

women <strong>farmers</strong>, most expressed a lack <strong>of</strong> <strong>in</strong>terest <strong>in</strong> attend<strong>in</strong>g tra<strong>in</strong><strong>in</strong>g<br />

because they had no time. Most believed that pesticide applications<br />

would <strong>in</strong>crease <strong>rice</strong> yields.<br />

Introduction<br />

Women play a major role <strong>in</strong> food production <strong>in</strong> most develop<strong>in</strong>g countries but their<br />

contributions as household food providers have rema<strong>in</strong>ed less visible. In Thailand,<br />

the proportion <strong>of</strong> female <strong>farmers</strong> <strong>in</strong> the total agricultural labor force is reported to be<br />

60%, the highest <strong>in</strong> Southeast <strong>Asia</strong>. In the past few years, women <strong>in</strong> <strong>rice</strong>-farm<strong>in</strong>g<br />

communities <strong>in</strong> central Thailand have assumed <strong>in</strong>creas<strong>in</strong>g responsibilities <strong>in</strong> <strong>rice</strong> production<br />

as men abandon agriculture to seek better-pay<strong>in</strong>g jobs <strong>in</strong> urban areas. The<br />

grow<strong>in</strong>g male out-migration from rural areas has forced women to take over tasks<br />

201


traditionally performed by men (Dulyapach 1991, FAO 1985, Tacio 1996). Although<br />

commonly excluded from the ma<strong>in</strong>stream <strong>of</strong> agricultural development, women <strong>in</strong>evitably<br />

perform spray<strong>in</strong>g tasks that expose them to toxic pesticides. With limited access<br />

to <strong>in</strong>formation and tra<strong>in</strong><strong>in</strong>g opportunities on safe pesticide use, women <strong>farmers</strong> become<br />

particularly vulnerable to hazardous chemicals.<br />

This rapid change <strong>in</strong> the role <strong>of</strong> women <strong>in</strong> <strong>rice</strong> production has occurred largely<br />

because <strong>of</strong> the shortage <strong>of</strong> labor <strong>in</strong> rural areas, caused by urban pull factors such as<br />

higher wages <strong>in</strong> the city and <strong>in</strong> the <strong>in</strong>ternational job market (Dulyapach 1991). Migration<br />

data show that male migrants moved to Bangkok dur<strong>in</strong>g the slack agricultural<br />

season primarily to look for work (ESCAP 1988). About three-fourths <strong>of</strong> the employed<br />

<strong>in</strong>-migrants to the urban centers were reported to be <strong>farmers</strong> and farm workers<br />

before they moved (NSO 1988). Most <strong>of</strong> them came from the central region (NSO<br />

1984). The seasonal nature <strong>of</strong> agricultural work <strong>in</strong> Thailand engenders a complex<br />

pattern <strong>of</strong> movements between areas. The recent National Migration Survey reported<br />

that the central region has the highest level <strong>of</strong> gross movement, which is perhaps<br />

<strong>in</strong>fluenced by its proximity to Bangkok. The central region competed with Bangkok<br />

<strong>in</strong> the number <strong>of</strong> <strong>in</strong>terregional out-migrants. Most migrants from Bangkok and the<br />

central region went to the northeast and the north, although Bangkok was also an<br />

important dest<strong>in</strong>ation for migrants from the central region (Chamratrithirong et al<br />

1995).<br />

As the Thai economy surges forward, this trend is likely to worsen. Questions on<br />

the effects <strong>of</strong> urban migration <strong>of</strong> male farm labor on women’s role <strong>in</strong> pest <strong>management</strong><br />

and appropriate tra<strong>in</strong><strong>in</strong>g needed to improve their skills should be addressed.<br />

The Department <strong>of</strong> Agricultural Extension (DOAE) planned to organize a special<br />

<strong>in</strong>tegrated pest <strong>management</strong> (IPM) tra<strong>in</strong><strong>in</strong>g course to acqua<strong>in</strong>t women with pest<br />

<strong>management</strong> concepts. To assess the key issues affect<strong>in</strong>g women’s participation <strong>in</strong><br />

<strong>rice</strong> pest <strong>management</strong>, a diagnostic survey us<strong>in</strong>g the rapid rural appraisal (RRA) approach,<br />

followed by a formal survey, was carried out <strong>in</strong> central Thailand between<br />

March and June 1992. The objectives <strong>of</strong> the surveys were (1) to assess changes <strong>in</strong> the<br />

role <strong>of</strong> women <strong>in</strong> <strong>rice</strong> pest <strong>management</strong>, and (2) to analyze associated factors and<br />

determ<strong>in</strong>e tra<strong>in</strong><strong>in</strong>g needs to improve pest <strong>management</strong> knowledge and practices <strong>of</strong><br />

women <strong>farmers</strong>.<br />

This paper reports the results <strong>of</strong> the survey conducted <strong>in</strong> Cha<strong>in</strong>at and Lop Buri<br />

prov<strong>in</strong>ces, central Thailand; observations from the RRA <strong>in</strong>terviews appear <strong>in</strong> the discussion.<br />

Methods<br />

Diagnostic <strong>in</strong>terviews us<strong>in</strong>g the RRA approach were first conducted to identify the<br />

relevant issues <strong>in</strong> women’s <strong>in</strong>volvement <strong>in</strong> <strong>rice</strong> pest <strong>management</strong>. Results <strong>of</strong> these<br />

<strong>in</strong>terviews were used as <strong>in</strong>puts <strong>in</strong> develop<strong>in</strong>g the questionnaire for the survey. The<br />

survey questionnaire was translated <strong>in</strong>to Thai and pretested with a small group <strong>of</strong> <strong>rice</strong><br />

<strong>farmers</strong> to determ<strong>in</strong>e the clarity and relevance <strong>of</strong> the questions. After consider<strong>in</strong>g the<br />

feedback from the pretest, we revised the questionnaire.<br />

202 Meenakanit et al


To collect the data, personal <strong>in</strong>terviews us<strong>in</strong>g the revised questionnaire were conducted<br />

by eight graduate students from Kasetsart University, who were closely supervised<br />

by the authors. Prior to field work, the students were tra<strong>in</strong>ed on the objectives <strong>of</strong><br />

the survey, <strong>in</strong>terview<strong>in</strong>g techniques, and the use <strong>of</strong> the questionnaire. The survey was<br />

conducted <strong>in</strong> May 1992.<br />

Survey areas<br />

Geographically, Central Thailand is composed <strong>of</strong> several river bas<strong>in</strong>s collectively called<br />

the Chao Phraya bas<strong>in</strong>. The pla<strong>in</strong>s are mostly covered by brackish alluvial and river<strong>in</strong>e<br />

alluvial soils. The eastern and western sections <strong>of</strong> the pla<strong>in</strong>s conta<strong>in</strong> noncalcic<br />

brown and low humic gley soils. Mounta<strong>in</strong>s also border the eastern and western edges<br />

(Takaya 1987). The region lies <strong>in</strong> the tropical monsoon belt, which is <strong>in</strong>fluenced by<br />

the southwest monsoon, which br<strong>in</strong>gs ra<strong>in</strong> from May to October, and the northeast<br />

monsoon, which br<strong>in</strong>gs the dry season the rest <strong>of</strong> the year. The annual temperature<br />

averages around 28 °C.<br />

Cha<strong>in</strong>at Prov<strong>in</strong>ce <strong>in</strong> central Thailand (Fig. 1) covers a total area <strong>of</strong> about 263,600<br />

ha, <strong>of</strong> which 180,800 ha are devoted to agriculture. In 1992, the farm<strong>in</strong>g population<br />

was estimated at 221,200, which represents about 63.4% <strong>of</strong> the total population <strong>of</strong><br />

348,600. Farm households have been estimated at 48,800, distributed <strong>in</strong> 444 villages<br />

<strong>in</strong> 5 1 districts (DOAE 1992).<br />

Lop Buri (Fig. l), on the other hand, spans 619,840 ha. Of this, arable land constitutes<br />

346,560 ha and irrigated areas 97,500 ha. Rice, maize, sorghum, beans, and<br />

sugarcane are crops grown by <strong>farmers</strong>. The farm<strong>in</strong>g population is about 348,200 <strong>in</strong><br />

67,300 households.<br />

Respondents<br />

The random sample <strong>of</strong> 221 women <strong>farmers</strong> was selected from five districts <strong>in</strong> two<br />

prov<strong>in</strong>ces: Hankha (15.8%), Sankhaburi (24.4%), Manorom (11.3%), Amphur Muang<br />

(29.4%), and Amphur Banmoh (19%). These <strong>rice</strong>-grow<strong>in</strong>g districts were selected randomly<br />

from the two prov<strong>in</strong>ces and, <strong>in</strong> each district, only women who had been engaged<br />

<strong>in</strong> <strong>rice</strong> farm<strong>in</strong>g were selected for the survey.<br />

Data analysis<br />

The survey data obta<strong>in</strong>ed were coded and entered <strong>in</strong>to a spreadsheet program us<strong>in</strong>g a<br />

microcomputer. After validation, the data file was uploaded to the ma<strong>in</strong>frame IBM4361<br />

at the <strong>International</strong> Rice Research Institute. Frequency tables were generated us<strong>in</strong>g<br />

the FREQ procedure available <strong>in</strong> Statistical Analysis System (SAS 1985). Percentages<br />

were based on the number <strong>of</strong> respondents rather than the total sample. In cases<br />

where multiple responses were obta<strong>in</strong>ed, the total sample size was used.<br />

The chang<strong>in</strong>g role <strong>of</strong> women <strong>in</strong> <strong>rice</strong> pest <strong>management</strong> <strong>in</strong> central Thailand 203


Fig. 1. Location <strong>of</strong> Cha<strong>in</strong>at and Lop Buri prov<strong>in</strong>ces <strong>in</strong> central Thailand.<br />

204 Meenakanit et al


Results<br />

Demographic pr<strong>of</strong>ile<br />

About a third <strong>of</strong> the women <strong>farmers</strong> (35.3%) were 31–40 yr old, followed by 23.5%<br />

<strong>in</strong> the 41–50 age group. More than a fifth (20.8%) were less than 30 yr old. N<strong>in</strong>e out<br />

<strong>of</strong> 10 women <strong>farmers</strong> <strong>in</strong>terviewed were married; the rest were either s<strong>in</strong>gle (7.7%) or<br />

widows (2.3%). The respondents’ education was low. More than four-fifths (88.2%)<br />

<strong>of</strong> the women had only a primary level <strong>of</strong> education, 5% reached the secondary level,<br />

and a negligible 0.4% went to college. Some 6.4% admitted that they had not received<br />

any school<strong>in</strong>g.<br />

Women's <strong>in</strong>volvement <strong>in</strong> <strong>rice</strong>-farm<strong>in</strong>g activities<br />

Women were <strong>in</strong>volved <strong>in</strong> all <strong>rice</strong> production operations. Overall, women <strong>in</strong> the study<br />

areas tended to perform more <strong>rice</strong>-farm<strong>in</strong>g tasks (40.7%) than the males <strong>in</strong> the households,<br />

that is, their husbands or brothers (38.4%) and hired labor (1 8.5%). Activities<br />

such as select<strong>in</strong>g <strong>rice</strong> varieties, plant<strong>in</strong>g, apply<strong>in</strong>g fertilizer, weed<strong>in</strong>g, field check<strong>in</strong>g,<br />

dry<strong>in</strong>g, and market<strong>in</strong>g were dom<strong>in</strong>ated by women. In households where male labor<br />

was not available, women also performed jobs that required physical strength, such as<br />

land preparation us<strong>in</strong>g a hand-operated tractor and pesticide application us<strong>in</strong>g a knapsack<br />

sprayer (Table 1).<br />

In general, respondents considered land preparation (27%) and pesticide application<br />

(20%) to be the most demand<strong>in</strong>g farm activities. The response pattern varied<br />

between the two prov<strong>in</strong>ces, with more women <strong>farmers</strong> <strong>in</strong> Lop Buri (38%) than <strong>in</strong><br />

Cha<strong>in</strong>at (14%) f<strong>in</strong>d<strong>in</strong>g land preparation more demand<strong>in</strong>g. The pattern was reversed<br />

for pesticide application, with more Cha<strong>in</strong>at respondents (36%) than their Lop Buri<br />

counterparts (6%) regard<strong>in</strong>g this as a demand<strong>in</strong>g task.<br />

Table 1. Persons who performed each <strong>rice</strong>-farm<strong>in</strong>g operation<br />

<strong>in</strong> the respondents’ households. Percentages were based on<br />

the total number <strong>of</strong> respondents.<br />

Self/ Husband/ Hired Other<br />

Farm activity woman brother laborer<br />

(%)<br />

Selection <strong>of</strong> <strong>rice</strong> varieties 54.9 42.0 0.0 3.1<br />

Land preparation 34.7 40.1 22.9 2.3<br />

Plant<strong>in</strong>g 45.4 41.5 11.5 1.5<br />

Fertilizer application 47.1 45.4 5.8 1.7<br />

Weed<strong>in</strong>g 39.4 43.0 14.3 3.3<br />

Field check<strong>in</strong>g 49.5 46.4 1.2 2.8<br />

<strong>Pest</strong>icide application 26.9 50.0 19.9 3.2<br />

Harvest<strong>in</strong>g 26.5 23.4 47.7 2.4<br />

Thresh<strong>in</strong>g 13.4 13.8 70.1 2.8<br />

Dry<strong>in</strong>g 51.8 38.9 8.3 1.0<br />

Market<strong>in</strong>g 57.6 37.1 2.8 2.5<br />

Overall % 40.7 38.4 18.5 2.4<br />

The chang<strong>in</strong>g role <strong>of</strong> women <strong>in</strong> <strong>rice</strong> pest <strong>management</strong> <strong>in</strong> central Thilland 205


To enable them to engage <strong>in</strong> <strong>rice</strong> farm<strong>in</strong>g, most women had to give up housework<br />

(33.3%), vegetable grow<strong>in</strong>g (6.7%), and livestock rais<strong>in</strong>g (6.7%), although 30% said<br />

that they cont<strong>in</strong>ued to perform their usual domestic responsibilities along with their<br />

<strong>rice</strong>-farm<strong>in</strong>g tasks.<br />

Cropp<strong>in</strong>g patterns<br />

Varieties planted. There appears to be a sharp contrast between the two prov<strong>in</strong>ces <strong>in</strong><br />

<strong>rice</strong> varieties planted by women <strong>farmers</strong>. In Cha<strong>in</strong>at, more <strong>farmers</strong> reported plant<strong>in</strong>g<br />

RD23 (34%) and Suphan Buri 90 (22%), whereas <strong>in</strong> Lop Bun, 57% <strong>of</strong> the <strong>farmers</strong><br />

cultivated local varieties, followed by 17% who grew B4 and 8% who grew RD23.<br />

Crop establishment. More than four-fifths (84%) <strong>of</strong> the women <strong>farmers</strong> directseeded<br />

their crops versus only 14% who transplanted and 3% who did both. For the<br />

two prov<strong>in</strong>ces, all Cha<strong>in</strong>at <strong>farmers</strong> direct-seeded their <strong>rice</strong> crop, whereas Lop Buri<br />

<strong>farmers</strong> used different crop establishment methods: 66% practiced direct seed<strong>in</strong>g,<br />

28% did transplant<strong>in</strong>g, and 6% did both.<br />

Cropp<strong>in</strong>g patterns. Slightly more respondents (48%) planted <strong>rice</strong> followed by a<br />

fallow than those who grew two <strong>rice</strong> crops a year (44%). Only a few (7%) cultivated<br />

other crops after <strong>rice</strong>.<br />

<strong>Pest</strong> <strong>management</strong> perceptions and practices<br />

Most respondents perceived hoppers to be the most serious pests (61.5%), followed<br />

by rats (10.9%), diseases (7.7%), thrips (5%), stem borers (3.6%), and lepidopterous<br />

leaf feeders (2.3%). In Cha<strong>in</strong>at, 74.6% <strong>of</strong> the respondents reported hoppers as the<br />

ma<strong>in</strong> pest, whereas <strong>in</strong> Lop Buri 48.1% mentioned them. More Cha<strong>in</strong>at <strong>farmers</strong> reported<br />

diseases than their Lop Buri counterparts (Table 2).<br />

Table 2. Most important pests reported by<br />

women <strong>farmers</strong> <strong>in</strong> central Thailand <strong>in</strong> 1992.<br />

Prov<strong>in</strong>ce<br />

<strong>Pest</strong>s Cha<strong>in</strong>at Lop Buri Overall<br />

(%)<br />

Hoppers<br />

Stem borer<br />

Lepidopterous<br />

leaf feeders<br />

Rice bug<br />

Thrips<br />

Rats<br />

Weeds<br />

Fungi<br />

Blast<br />

Diseases<br />

Others<br />

Don’t know<br />

None<br />

74.6 48.1 61.5<br />

0.9 4.7 3.6<br />

0.9 3.7 2.3<br />

1.8 0.0 0.9<br />

0.9 9.4 5.0<br />

0.9 21.7 10.9<br />

0.0 2.8 1.4<br />

8.8 0.0 4.5<br />

2.6 0.0 1.4<br />

3.5 0.0 1.8<br />

1.8 0.9 1.4<br />

0.9 3.6 4.5<br />

0.0 0.4 0.4<br />

206 Meenakanit et al


To control the major pests, women <strong>farmers</strong> <strong>in</strong> Cha<strong>in</strong>at and Lop Bun reported that<br />

they applied pesticides (67%), used baits or poison to kill rats (10%), used a light trap<br />

or black light (4%), dra<strong>in</strong>ed the fields (3%), or consulted their extension technician<br />

before tak<strong>in</strong>g any control action (2%).<br />

<strong>Pest</strong>icide application patterns<br />

In both prov<strong>in</strong>ces, 90% <strong>of</strong> the women <strong>farmers</strong> reported apply<strong>in</strong>g pesticides <strong>in</strong> the<br />

1992 wet season. These <strong>in</strong>clude <strong>in</strong>secticides, rodenticides, fungicides, and herbicides.<br />

In Cha<strong>in</strong>at, 92% <strong>of</strong> the <strong>farmers</strong> used pesticides, versus 87% <strong>in</strong> Lop Bun.<br />

More than three-quarters (75.8%) <strong>of</strong> the <strong>farmers</strong> <strong>in</strong> both prov<strong>in</strong>ces applied their<br />

first <strong>in</strong>secticide spray <strong>in</strong> the first 30 d after plant<strong>in</strong>g. Another 18.8% applied it <strong>in</strong> the<br />

second month. For tim<strong>in</strong>g <strong>of</strong> application by crop stage, respondents applied pesticides<br />

<strong>in</strong> the seedl<strong>in</strong>g (44.7%) and tiller<strong>in</strong>g (28.7%) stages, although more Cha<strong>in</strong>at<br />

respondents (81.6%) than their Lop Bun counterparts (54.2%) used pesticides <strong>in</strong> the<br />

seedl<strong>in</strong>g stage (Table 3).<br />

<strong>Pest</strong>icide application frequencies <strong>of</strong> <strong>farmers</strong> ranged from 1 to 10 per season, with<br />

1–3 times as the most common (Table 3). Slightly more Cha<strong>in</strong>at respondents were<br />

heavy pesticide users than those <strong>in</strong> Lop Buri. Women <strong>farmers</strong> used pesticides, par-<br />

Table 3. <strong>Pest</strong>icide application patterns <strong>of</strong> women <strong>farmers</strong> <strong>in</strong> central<br />

Thailand, 1992.<br />

Prov<strong>in</strong>ce<br />

Pattern Cha<strong>in</strong>at Lop Burl Overall<br />

Tim<strong>in</strong>g <strong>of</strong> first <strong>in</strong>secticide<br />

application (wk after plant<strong>in</strong>g)<br />

1–4 83.3 67.8 75.8<br />

5–8 6.3 32.2 18.8<br />

>8 10.4 0.0 5.4<br />

Frequency <strong>of</strong> pesticide application<br />

<strong>in</strong> a season<br />

1 36.4 34.4 35.4<br />

2 26.3 37.6 31.8<br />

3 20.2 23.7 21.9<br />

4 7.1 2.1 4.7<br />

5 2.0 2.1 1.0<br />

6 3.0 2.1 2.6<br />

7 2.0 0.0 1.0<br />

10 3.0 0.0 1.6<br />

Tim<strong>in</strong>g <strong>of</strong> pesticide application<br />

(by crop stage)<br />

Seedl<strong>in</strong>g 81.6 54.2 44.7<br />

Tiller<strong>in</strong>g 31.6 57.0 28.7<br />

Boot<strong>in</strong>g 30.7 7.5 12.7<br />

Head<strong>in</strong>g 21.9 0.9 7.7<br />

Flower<strong>in</strong>g 6.1 0.9 2.4<br />

Milk<strong>in</strong>g 3.5 5.6 3.0<br />

Ripen<strong>in</strong>g 1.8 0.9 0.9<br />

(%)<br />

The chang<strong>in</strong>g role <strong>of</strong> women <strong>in</strong> <strong>rice</strong> pest <strong>management</strong> <strong>in</strong> central Thailand 207


ticularly <strong>in</strong>secticides, either to prevent or control pest <strong>in</strong>festations. Some 55% <strong>of</strong> the<br />

respondents <strong>in</strong>dicated that they had sprayed for control rather than prevention (34%).<br />

At the seedl<strong>in</strong>g stage, <strong>in</strong>secticides were applied more for prevention than at the tiller<strong>in</strong>g,<br />

boot<strong>in</strong>g, head<strong>in</strong>g, and flower<strong>in</strong>g stages, when <strong>in</strong>secticides were used for control.<br />

Some 64% <strong>of</strong> the <strong>farmers</strong> estimated that <strong>in</strong>secticides could kill 75–100% <strong>of</strong> the<br />

pests <strong>in</strong> their <strong>rice</strong>fields, whereas 27% judged that only 50% <strong>of</strong> the pests were killed. A<br />

few believed that fewer than 50% <strong>of</strong> the pests were elim<strong>in</strong>ated after pesticide applications.<br />

Involvement <strong>in</strong> decision mak<strong>in</strong>g and purchase and use <strong>of</strong> pesticides<br />

Decisions on the amount <strong>of</strong> money to be spent for pesticides were made by either the<br />

woman (30%) or a male household member, the husband or brother (37%). Fewer<br />

than a third <strong>of</strong> the respondents (28%) stated that both the woman and the husband<br />

decided jo<strong>in</strong>tly on allocations for pesticides. Slight differences <strong>in</strong> decision-mak<strong>in</strong>g<br />

patterns were found between the two prov<strong>in</strong>ces, with more Cha<strong>in</strong>at women <strong>farmers</strong><br />

(34%) report<strong>in</strong>g that they made the decisions on the amount <strong>of</strong> money to be used for<br />

pesticides.<br />

Fewer than half <strong>of</strong> the <strong>farmers</strong> (46%) <strong>in</strong>dicated that women bought pesticides,<br />

whereas 38% said that the husband or brother purchased them. Only 10% <strong>of</strong> the <strong>farmers</strong><br />

said that both the woman and the husband bought the pesticides. The two prov<strong>in</strong>ces<br />

showed some differences. Cha<strong>in</strong>at women <strong>farmers</strong> appear to have more participation<br />

(52%) than their Lop Buri counterparts (39%) <strong>in</strong> the purchase <strong>of</strong> pesticides.<br />

About a third <strong>of</strong> the women <strong>farmers</strong> (33%) applied pesticides <strong>in</strong> their own <strong>rice</strong>field.<br />

More women <strong>farmers</strong> <strong>in</strong> Lop Buri (36%) did their own spray<strong>in</strong>g than <strong>in</strong> Cha<strong>in</strong>at<br />

(30%). When asked who applied pesticides the year before the survey (1991), women<br />

<strong>farmers</strong> mentioned their husband or brother (80%), father (5%), and hired labor (5%).<br />

Among the ma<strong>in</strong> reasons given by women <strong>farmers</strong> for apply<strong>in</strong>g the pesticides themselves<br />

were unavailability <strong>of</strong> hired labor (47%), lack <strong>of</strong> male family labor (26%), and<br />

lack <strong>of</strong> capital to pay hired labor (5%).<br />

Women <strong>farmers</strong> were usually aware <strong>of</strong> pesticide health hazards. More than half<br />

<strong>of</strong> the respondents (53%) reported that they got sick or experienced such symptoms<br />

as dizz<strong>in</strong>ess, dryness <strong>of</strong> throat, tiredness, headaches, and vomit<strong>in</strong>g after pesticide applications.<br />

Some 47% <strong>of</strong> the women <strong>farmers</strong> acknowledged that do<strong>in</strong>g their own field<br />

spray<strong>in</strong>g exposed them to toxic chemicals.<br />

Ownership and access to sprayers<br />

More than two-thirds <strong>of</strong> the <strong>farmers</strong> (67.4%) had their own sprayers whereas 30.8%<br />

did not own any. More Lop Buri <strong>farmers</strong> (70%) owned sprayers than <strong>in</strong> Cha<strong>in</strong>at (65%).<br />

Many <strong>farmers</strong> owned sprayers that had less than 2 gallons’ capacity (41%). Some<br />

30% owned knapsack sprayers and 12% had mist blowers.<br />

<strong>Pest</strong>icide safety<br />

More than a third <strong>of</strong> the women (39%) sold the used pesticide conta<strong>in</strong>ers, whereas<br />

39% left them <strong>in</strong> the field and 16% buried them. More women <strong>farmers</strong> <strong>in</strong> Cha<strong>in</strong>at sold<br />

208 Meenakanit et al


them (71%) than those from Lop Buri (13%). On the other hand, more Lop Buri<br />

<strong>farmers</strong> (72%) left the pesticide conta<strong>in</strong>ers <strong>in</strong> the field.<br />

The women who applied pesticides protected themselves by cover<strong>in</strong>g their mouth<br />

and nose with a piece <strong>of</strong> cloth (24%) and wear<strong>in</strong>g long-sleeved shirts (18%), and by<br />

tak<strong>in</strong>g a bath (17%) and wash<strong>in</strong>g their hands (16%) after spray<strong>in</strong>g. Few women (2.6%)<br />

wore a mask while spray<strong>in</strong>g.<br />

<strong>Pest</strong> <strong>management</strong> advice and tra<strong>in</strong><strong>in</strong>g<br />

Information sources on pest <strong>management</strong> consulted by women <strong>farmers</strong> <strong>in</strong>cluded extension<br />

<strong>of</strong>ficers, or kaset tambon (39%), plant protection <strong>of</strong>ficers (22%), neighbors<br />

(18%), and pesticide sales agents (11 %). Others mentioned tra<strong>in</strong><strong>in</strong>g, radio, and television.<br />

Farmers who cited multiple sources <strong>of</strong> advice on pest <strong>management</strong> were further<br />

asked to name which sources they believed were the most credible, and the agricultural<br />

extension <strong>of</strong>ficers (43%) and plant protection <strong>of</strong>ficers (21%) were mentioned<br />

most.<br />

Fewer than half <strong>of</strong> the women (41%) had not attended any pest <strong>management</strong><br />

tra<strong>in</strong><strong>in</strong>g. Among the untra<strong>in</strong>ed women <strong>farmers</strong>, most (92%) <strong>in</strong>dicated a lack <strong>of</strong> <strong>in</strong>terest<br />

<strong>in</strong> be<strong>in</strong>g tra<strong>in</strong>ed. Even on a per prov<strong>in</strong>ce basis, women <strong>farmers</strong> had consistent<br />

responses. Some 72% <strong>of</strong> the women said they had no time to attend, 11% replied that<br />

they couldn’t leave home, and 13% admitted that they were not <strong>in</strong>terested. Other<br />

respondents were undecided about attendance at tra<strong>in</strong><strong>in</strong>g, believed they had sufficient<br />

knowledge, or would rather have their husbands attend the tra<strong>in</strong><strong>in</strong>g.<br />

<strong>Pest</strong> <strong>management</strong> knowledge<br />

More than two-thirds <strong>of</strong> the women <strong>farmers</strong> (68%) thought that pesticide applications<br />

would <strong>in</strong>crease <strong>rice</strong> yields, whereas 23% disagreed and 9% had no op<strong>in</strong>ion. More<br />

women <strong>farmers</strong> <strong>in</strong> Lop Buri (79%) believed that pesticides would <strong>in</strong>crease yields than<br />

<strong>in</strong> Cha<strong>in</strong>at.<br />

Perceptions <strong>of</strong> leaf-feed<strong>in</strong>g <strong>in</strong>sects<br />

Grasshoppers (38.5%), leaf rollers (13.6%), leaffolder (11.5%), and lepidopterous<br />

larvae (9.4%) were the most common leaf feeders known to <strong>farmers</strong>. Women <strong>farmers</strong><br />

mentioned other leaf feeders such as cutworms (5.2%), stem borers (4.9%), thrips<br />

(2.4%), and brown planthopper (1.4%).<br />

Nearly half <strong>of</strong> the women <strong>farmers</strong> (49.8%) did not believe that leaf-feed<strong>in</strong>g <strong>in</strong>sects<br />

would cause severe damage to <strong>rice</strong>. More <strong>farmers</strong> <strong>in</strong> Cha<strong>in</strong>at (64%) than <strong>in</strong> Lop<br />

Buri (35%) believed that leaf-feed<strong>in</strong>g <strong>in</strong>sects would not cause severe damage to the<br />

<strong>rice</strong> crop.<br />

More than half <strong>of</strong> the <strong>farmers</strong> (51.4%) <strong>in</strong>dicated that leaf-feed<strong>in</strong>g <strong>in</strong>sects would<br />

not cause yield loss, whereas 34.5% believed otherwise and 14.1% had no op<strong>in</strong>ion<br />

(Table 4).<br />

Nearly half <strong>of</strong> the <strong>farmers</strong> (46.6%) reported that spray<strong>in</strong>g chemicals to control<br />

leaf feeders was unnecessary. Twice as many Cha<strong>in</strong>at <strong>farmers</strong> (61.4%) as their Lop<br />

Bun counterparts (30.8%) believed that there was no need to spray <strong>in</strong>secticides for<br />

The chang<strong>in</strong>g role <strong>of</strong> women <strong>in</strong> <strong>rice</strong> pest <strong>management</strong> <strong>in</strong> central Thailand 209


Table 4. Women <strong>farmers</strong>’ perceptions <strong>of</strong> leaf-feed<strong>in</strong>g <strong>in</strong>sects.<br />

Prov<strong>in</strong>ce<br />

Response Cha<strong>in</strong>at Lop Buri Overall<br />

(%)<br />

Leaf-feed<strong>in</strong>g <strong>in</strong>sects cause severe<br />

damage to the <strong>rice</strong> crop<br />

Agree 28.1<br />

Disagree 64.0<br />

No op<strong>in</strong>ion 7.9<br />

Leaf-feed<strong>in</strong>g <strong>in</strong>sects do not cause<br />

yield loss<br />

Agree 57.9<br />

Disagree 31.6<br />

No op<strong>in</strong>ion 10.5<br />

Need to apply chemicals to control<br />

leaf feeders<br />

Agree 29.8<br />

Disagree 61.4<br />

No op<strong>in</strong>ion 8.8<br />

Need to spray chemicals early to<br />

control leaf feeders<br />

Agree 24.6<br />

Disagree 64.0<br />

No op<strong>in</strong>ion 11.4<br />

55.1 41.2<br />

34.6 49.8<br />

49.8 9.0<br />

44.9 51.4<br />

37.4 34.5<br />

17.8 14.1<br />

57.9 43.4<br />

30.8 46.6<br />

11.2 10.0<br />

48.6 36.2<br />

34.6 49.8<br />

16.8 14.0<br />

leaf-feed<strong>in</strong>g <strong>in</strong>sects. In contrast, more Lop Buri <strong>farmers</strong> (57.9%) thought that <strong>in</strong>secticide<br />

applications for leaf feeders were necessary (Table 4). Likewise, 36.2% <strong>of</strong> the<br />

<strong>farmers</strong> believed that chemical control for leaf-feed<strong>in</strong>g <strong>in</strong>sects had to be done early.<br />

More <strong>farmers</strong> <strong>in</strong> Lop Buri (48.6%) than <strong>in</strong> Cha<strong>in</strong>at (24.6%) <strong>in</strong>dicated that chemical<br />

control for leaf feeders had to be done early <strong>in</strong> the crop season.<br />

Discussion<br />

The lack <strong>of</strong> farm labor seemed to have forced women <strong>farmers</strong> <strong>in</strong> central Thailand <strong>in</strong>to<br />

tak<strong>in</strong>g on more tasks <strong>in</strong> <strong>rice</strong> farm<strong>in</strong>g than before. <strong>Pest</strong> <strong>management</strong>, traditionally a<br />

man's activity, is one <strong>of</strong> these. The survey found that women generally had poorer<br />

knowledge <strong>of</strong> and lacked basic skills <strong>in</strong> pest and disease diagnosis, pesticides, application<br />

methods, and concepts <strong>of</strong> natural biological control. Although they were aware<br />

<strong>of</strong> the acute toxicity <strong>of</strong> pesticides, they had little knowledge <strong>of</strong> the chronic effects.<br />

Wherever possible, the women <strong>farmers</strong> had tried employ<strong>in</strong>g labor for sprays. But<br />

with further male migration to cities and higher labor costs, more women may have<br />

had to do their own spray<strong>in</strong>g. This could account for the high percentage <strong>of</strong> hand<br />

sprayers <strong>of</strong> lower capacities that were found <strong>in</strong> central Thailand. In Malaysia, where<br />

spray<strong>in</strong>g had been carried out predom<strong>in</strong>antly by men, <strong>farmers</strong> usually owned knapsack<br />

sprayers (Heong et al 1992).<br />

210 Meenahanit et al


Women’s attitudes and practices toward pest <strong>management</strong> appeared rather similar<br />

to those <strong>of</strong> <strong>farmers</strong> elsewhere. The descriptive pr<strong>of</strong>ile generally fits <strong>in</strong>to that described<br />

by Lim and Heong (1984). A large proportion <strong>of</strong> the women <strong>farmers</strong> perceived<br />

that pesticides <strong>in</strong>crease yields and that visible pests, such as leaf feeders, are<br />

important. Most <strong>farmers</strong> apply <strong>in</strong>secticides dur<strong>in</strong>g the first four weeks after crop establishment.<br />

Similar trends <strong>in</strong> pest <strong>management</strong> practices were described <strong>in</strong> the Philipp<strong>in</strong>es,<br />

Vietnam (Heong et al 1994), Malaysia (Normiyah et al 1995), and Ch<strong>in</strong>a<br />

(this volume). These practices <strong>of</strong>ten result <strong>in</strong> high misuse (Heong et al 1995).<br />

Because pest <strong>management</strong> appears to be a recently acquired responsibility <strong>of</strong><br />

women, opportunities may exist to <strong>in</strong>corporate the appropriate pest <strong>management</strong> concepts<br />

at this formative stage. With tra<strong>in</strong><strong>in</strong>g, the appropriate attitudes and beliefs <strong>in</strong><br />

pest <strong>management</strong> could be developed and unnecessary spray<strong>in</strong>g prevented. IPM implementation<br />

programs could focus on optimiz<strong>in</strong>g this opportunity.<br />

Without tra<strong>in</strong><strong>in</strong>g, women could be easily persuaded by aggressive advertis<strong>in</strong>g as<br />

<strong>in</strong> detergent sales. Because the primary objective <strong>of</strong> advertis<strong>in</strong>g is to <strong>in</strong>crease sales,<br />

advertis<strong>in</strong>g pesticides would tend to <strong>in</strong>crease their use. Women could become locked<strong>in</strong><br />

to this need to either cure or prevent pests and diseases.<br />

Perceptions, beliefs, and attitudes that affect farmer practices can be effectively<br />

changed through participatory tra<strong>in</strong><strong>in</strong>g methods. Although the tra<strong>in</strong><strong>in</strong>g needs <strong>of</strong> men<br />

and women <strong>farmers</strong> may be similar, several aspects could require special attention.<br />

For <strong>in</strong>stance, because they regarded tra<strong>in</strong><strong>in</strong>g as time-consum<strong>in</strong>g, most <strong>of</strong> the women<br />

we <strong>in</strong>terviewed were not will<strong>in</strong>g to participate because <strong>of</strong> their household commitments.<br />

Season-long tra<strong>in</strong><strong>in</strong>g on IPM would be a burden to them. Farmer participatory<br />

research methods to improve pest <strong>management</strong> perceptions and practices could be<br />

useful <strong>in</strong> fitt<strong>in</strong>g tra<strong>in</strong><strong>in</strong>g <strong>in</strong>to women’s schedules. Farmer participatory research <strong>in</strong>volves<br />

encourag<strong>in</strong>g <strong>farmers</strong> to engage <strong>in</strong> experimentation to enable them to adapt<br />

new technologies and spread them to other <strong>farmers</strong> (Bunch 1989). In this approach,<br />

participat<strong>in</strong>g <strong>farmers</strong> were encouraged to “test” a simple hypothesis, which was presented<br />

as a heuristic (a rule) (Escalada and Heong 1993). Experimental results were<br />

then shared with other members <strong>of</strong> the community.<br />

References<br />

Bunch R. 1989. Encourag<strong>in</strong>g <strong>farmers</strong>’ experiments. In: Chambers R, Pacey A, Thrupp LA,<br />

editors. Farmer first: farmer <strong>in</strong>novation and agricultural research. London: Intermediate<br />

Technology Publications. p 55-61.<br />

Chamratrithirong A, Archavanitkul K, Richter K, Guest P, Thongthai V, Boonchalaksi W,<br />

Piriyathamwong N, Vong-Ek P. 1995. National migration survey <strong>of</strong> Thailand. Thailand:<br />

Mahidol University at Salaya.<br />

DOAE (Department <strong>of</strong> Agricultural Extension). 1992. Fruit crop for commercial and export<br />

statistics for 1991-1992. 566 p.<br />

Dulyapach P. 1991. A case study on the relationship between the <strong>in</strong>tegration <strong>of</strong> women <strong>in</strong> rural<br />

development and women’s reproductive behavior <strong>in</strong> Thailand. Bangkok (Thailand): Department<br />

<strong>of</strong> Agricultural Extension.<br />

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Escalada MM, Heong KL. 1993. Communication and implementation <strong>of</strong> change <strong>in</strong> crop protection.<br />

In: Chadwick DJ, Marsh J, editors. Crop protection and susta<strong>in</strong>able agriculture.<br />

Chichester: John Wiley & Sons. p 191-202.<br />

ESCAP (Economic and Social Commission for <strong>Asia</strong> and the Pacific). 1988. Trends <strong>in</strong> migration<br />

and urbanization <strong>in</strong> selected ESCAP countries. Bangkok (Thailand): ESCAP.<br />

FAO. 1985. Women <strong>in</strong> develop<strong>in</strong>g agriculture. Rome: Human Resources, Institutions and Agrarian<br />

Reform Division, FAO.<br />

Heong KL, Escalada MM, Lazaro AA. 1992. Early spray<strong>in</strong>g by <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Leyte, Philipp<strong>in</strong>es.<br />

Int. Rice Res. Newsl. 17(6):27-28.<br />

Heong KL, Escalada MM, Lazaro AA. 1995. Misuse <strong>of</strong> pesticides among <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> Leyte,<br />

Philipp<strong>in</strong>es. In: P<strong>in</strong>gali PL, Roger PA, editors. Impact <strong>of</strong> pesticides on <strong>farmers</strong>’ health and<br />

the <strong>rice</strong> environment. Norwell (Mass., USA): Kluwer Academic Publishers and <strong>IRRI</strong>. p<br />

97-108.<br />

Heong KL, Escalada MM, Vo Mai. 1994. An analysis <strong>of</strong> <strong>in</strong>secticide use <strong>in</strong> <strong>rice</strong>: case studies <strong>in</strong><br />

the Philipp<strong>in</strong>es and Vietnam. Int. J. <strong>Pest</strong> Manage. 40:173-178.<br />

Lim GS, Heong KL. 1984. The role <strong>of</strong> <strong>in</strong>secticides <strong>in</strong> <strong>rice</strong> <strong>in</strong>tegrated pest <strong>management</strong>. In:<br />

Proceed<strong>in</strong>gs <strong>of</strong> the FAO/<strong>IRRI</strong> Workshop on Judicious and Efficient Use <strong>of</strong> Insecticides on<br />

Rice. Los Baños (Philipp<strong>in</strong>es): <strong>International</strong> Rice Research Institute.<br />

Normiyah R, Chang PM, Azmi M, Aznan A. 1995. <strong>Pest</strong> <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong><br />

<strong>in</strong> the Muda irrigation scheme, Malaysia. Makalah Sesekala Bil 14. Kuala Lumpur (Malaysia):<br />

MARDI. 14 p.<br />

NSO (National Statistical Office). 1984. Survey <strong>of</strong> migration <strong>in</strong>to the Bangkok metropolis and<br />

vic<strong>in</strong>ity, 1984. Thailand: Office <strong>of</strong> the Prime M<strong>in</strong>ister.<br />

NSO (National Statistical Office). 1988. Survey <strong>of</strong> migration <strong>in</strong>to the Bangkok metropolis.<br />

Thailand: Office <strong>of</strong> the Prime M<strong>in</strong>ister.<br />

SAS (Statistical Analysis System). 1985. SAS user’s guide: statistics. Version 5 Edition. Cary<br />

(N.C., USA): SAS Institute, Inc.<br />

Tacio H. 1996. Women rule the farms, too. Today. 22 Oct 1996. p 15.<br />

Takaya Y. 1987. Agricultural development <strong>of</strong> a tropical delta: a study <strong>of</strong> the Chao Phraya delta.<br />

Honolulu: University <strong>of</strong> Hawaii Press.<br />

Notes<br />

Authors’ addresses: L. Meenakanit, Plant Protection Service Division, Department <strong>of</strong> Agricultural<br />

Extension, Bangkok 10900, Thailand; M.M. Escalada, Department <strong>of</strong> Development<br />

Communication, Visayas State College <strong>of</strong> Agriculture, Baybay, Leyte 6521-A, Philipp<strong>in</strong>es;<br />

K.L. Heong, Entomology and Plant Pathology Division, <strong>International</strong> Rice Research<br />

Institute, Los Baños, Laguna, Philipp<strong>in</strong>es.<br />

Acknowledgments: The authors would like to thank the Swiss Agency for Development and<br />

Cooperation, through the Rice IPM Network based at <strong>IRRI</strong>, for fund<strong>in</strong>g the farmer survey<br />

and rapid rural appraisal from which we have drawn the contents for this paper; Thelma R.<br />

Paris, for tak<strong>in</strong>g part <strong>in</strong> the diagnostic <strong>in</strong>terviews and shar<strong>in</strong>g with us her <strong>in</strong>sights on<br />

gender issues; Amor A. Lazaro, for process<strong>in</strong>g the survey data; the plant protection staff at<br />

the DOAE head <strong>of</strong>fice <strong>in</strong> central Thailand, for facilitat<strong>in</strong>g the fieldwork; and the Kasetsart<br />

University students, for conduct<strong>in</strong>g the <strong>in</strong>terviews.<br />

Citation: Heong KL, Escalada MM, editors. 1997. <strong>Pest</strong> <strong>management</strong> <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong>.<br />

Manila (Philipp<strong>in</strong>es): <strong>International</strong> Rice Research Institute.<br />

212 Meenakanit et al


CHAPTER 15<br />

<strong>Pest</strong> <strong>management</strong> perceptions<br />

and practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong><br />

<strong>in</strong> Long An Prov<strong>in</strong>ce, Vietnam<br />

Vo Mai, N.H. Huan, K.L. Heong, M.M. Escalada, and A.A. Lazaro<br />

A survey <strong>of</strong> 633 <strong>rice</strong> <strong>farmers</strong> conducted <strong>in</strong> August 1994 <strong>in</strong> two districts,<br />

Tan Tru and Tan Thanh, <strong>in</strong> Long An Prov<strong>in</strong>ce, showed that<br />

brown planthoppers, sheath blight, and leaffolders were <strong>farmers</strong>’<br />

most important <strong>rice</strong> pests. Farmers <strong>of</strong>ten sprayed pesticides to control<br />

them. Particularly for leaf-feed<strong>in</strong>g <strong>in</strong>sects, <strong>in</strong>secticide sprays were<br />

applied dur<strong>in</strong>g the first month after seed<strong>in</strong>g. These <strong>in</strong>sects were<br />

perceived to be very damag<strong>in</strong>g because they can cause heavy yield<br />

losses <strong>in</strong> <strong>rice</strong>. Early season <strong>in</strong>secticide sprays for their control were<br />

thus believed to be necessary. Organophosphates, such as<br />

methamidophos, monocrotophos, and methyl parathion, were the<br />

most popular <strong>in</strong>secticides used to control leaf feeders. These <strong>in</strong>secticide<br />

applications may have been unnecessary because <strong>rice</strong> plants<br />

have the ability to compensate for leaf defoliation. Early applications<br />

<strong>of</strong> broad-spectrum <strong>in</strong>secticides may cause ecological disruptions that<br />

can favor brown planthopper development. Farmer participatory research,<br />

strategic extension campaigns, and pest <strong>management</strong> tra<strong>in</strong><strong>in</strong>g<br />

to help <strong>farmers</strong> realize that these early <strong>in</strong>secticide sprays are not<br />

beneficial should be <strong>in</strong>creased.<br />

Introduction<br />

Rice <strong>in</strong>tensification programs <strong>in</strong> the 1970s <strong>in</strong>troduced <strong>in</strong>secticides as a necessary <strong>in</strong>put<br />

for high yields. Prophylactic <strong>in</strong>secticide applications were “packaged” <strong>in</strong>to production<br />

programs and <strong>farmers</strong> were encouraged to use them at regular <strong>in</strong>tervals. Government<br />

subsidies and agricultural loan schemes together with strong market<strong>in</strong>g and<br />

advertis<strong>in</strong>g by the chemical <strong>in</strong>dustry (Escalada and Heong 1993) further supported<br />

<strong>in</strong>secticide use (Conway and Pretty 1991).<br />

In Vietnam, <strong>rice</strong> production between 1970 and 1980 rema<strong>in</strong>ed low at around 11<br />

million t yr -1 . With the <strong>in</strong>troduction <strong>of</strong> policies to improve contractual arrangements,<br />

referred to as Contract 100, <strong>in</strong> 1981, <strong>rice</strong> production <strong>in</strong>creased by about 30% (Cuc<br />

1995). In 1989, Resolution N10 was <strong>in</strong>troduced and <strong>rice</strong> production <strong>in</strong>creased further,<br />

213


each<strong>in</strong>g 22 million t yr -1 . This marked the beg<strong>in</strong>n<strong>in</strong>g <strong>of</strong> decollectivization, which<br />

encouraged <strong>farmers</strong> to <strong>in</strong>vest <strong>in</strong> <strong>in</strong>puts and labor (P<strong>in</strong>gali and Xuan 1992). Thus, the<br />

use <strong>of</strong> chemical <strong>in</strong>puts such as fertilizers and pesticides <strong>in</strong>creased. Stimulated by aggressive<br />

advertis<strong>in</strong>g and market<strong>in</strong>g, <strong>in</strong>secticide use <strong>in</strong> 1992 was around 5 sprays season<br />

-1 (Heong et al 1994) and about 80% <strong>of</strong> the <strong>farmers</strong> applied their first sprays with<strong>in</strong><br />

the first 40 d after sow<strong>in</strong>g.<br />

This paper presents the results <strong>of</strong> a basel<strong>in</strong>e survey conducted <strong>in</strong> August 1994 to<br />

document <strong>farmers</strong>’ pest <strong>management</strong> perceptions and practices <strong>in</strong> two districts, Tan<br />

Tru and Tan Thanh, <strong>in</strong> Long An Prov<strong>in</strong>ce.<br />

Long An Prov<strong>in</strong>ce<br />

Long An is a prov<strong>in</strong>ce <strong>of</strong> the Mekong Delta <strong>in</strong> the southern part <strong>of</strong> Vietnam. The<br />

prov<strong>in</strong>ce extends from 105° 30’ to 106° 45’ east, and from 10° 08’ 30” to 11° 02’ 30”<br />

north (Fig. 1). The total area is 4,355 km 2 and agriculture plays a dom<strong>in</strong>ant role <strong>in</strong> the<br />

economy. Rice is the pr<strong>in</strong>cipal crop; it is cultivated on 363,000 ha, 80% <strong>of</strong> which are<br />

irrigated. The total farmer household population is 210,000, 85% <strong>of</strong> which is engaged<br />

<strong>in</strong> <strong>rice</strong> farm<strong>in</strong>g. Long An produces 1.16 million t yr -l <strong>of</strong> <strong>rice</strong>. Besides <strong>rice</strong>, watermelon,<br />

groundnuts, and cash crops are also cultivated. In most areas, <strong>farmers</strong> grow<br />

two crops a year; <strong>in</strong> some areas, three <strong>rice</strong> crops year -1 are grown. Modern highyield<strong>in</strong>g<br />

<strong>rice</strong> varieties are commonly planted <strong>in</strong> more than 80% <strong>of</strong> the <strong>rice</strong> areas. In<br />

some districts, the aromatic traditional varieties are popular, particularly dur<strong>in</strong>g the<br />

wet season.<br />

Fig. 1. Map <strong>of</strong> Long An Prov<strong>in</strong>ce, Vietnam.<br />

214 Vo Mai et al


Methods<br />

In August 1994, a farmer survey was conducted <strong>in</strong> Long An Prov<strong>in</strong>ce to determ<strong>in</strong>e<br />

<strong>rice</strong> <strong>farmers</strong>’ pest <strong>management</strong> practices and perceptions. Before be<strong>in</strong>g used, a structured<br />

questionnaire was pretested by local technicians through field <strong>in</strong>terviews with<br />

20 <strong>farmers</strong>. The pretest was <strong>in</strong>tended to solicit <strong>farmers</strong>’ responses to the survey questions,<br />

which were used to further ref<strong>in</strong>e the questions. For the survey, 633 <strong>rice</strong> <strong>farmers</strong><br />

were selected randomly from 16 villages <strong>in</strong> two districts, Tan Tru and Tan Thanh,<br />

where <strong>rice</strong> was the ma<strong>in</strong> crop. These <strong>farmers</strong> were <strong>in</strong>terviewed by the agricultural<br />

technicians tra<strong>in</strong>ed to use the pretested survey questionnaire. The field data were immediately<br />

translated, coded, and entered <strong>in</strong> a spreadsheet program. Frequency distributions<br />

and cross-tabulations were generated us<strong>in</strong>g the frequency procedure <strong>in</strong> the<br />

Statistical Analysis System (SAS) package (SAS 1985). Means were compared us<strong>in</strong>g<br />

the t-test procedure. In addition, the authors carried out several follow-up focus group<br />

<strong>in</strong>terviews to obta<strong>in</strong> further <strong>in</strong>formation us<strong>in</strong>g prob<strong>in</strong>g techniques.<br />

Results<br />

Pr<strong>of</strong>ile <strong>of</strong> <strong>farmers</strong><br />

More than half (55%) <strong>of</strong> the farmer respondents <strong>in</strong>terviewed <strong>in</strong> Tan Tru and Tan Thanh<br />

were 31–50 yr old. Only a small percentage (6%) did not have any school<strong>in</strong>g, whereas<br />

81% had from 1 to 9 yr <strong>of</strong> education (Table 1).<br />

Modern high-yield<strong>in</strong>g <strong>rice</strong> varieties such as IR9729, IRS0404, and IR49517 were<br />

the most common cultivars planted by the <strong>farmers</strong> dur<strong>in</strong>g the summer-autumn season<br />

<strong>of</strong> 1994. Farmers either kept their own seeds (34%) or exchanged them with their<br />

neighbors (46%). More than 80% <strong>of</strong> the <strong>farmers</strong> <strong>in</strong> the survey followed a <strong>rice</strong>-<strong>rice</strong><br />

Table 1. Pr<strong>of</strong>ile <strong>of</strong> farmer respondents <strong>in</strong> Tan Tru and Tan Thanh districts <strong>of</strong> Long An Prov<strong>in</strong>ce.<br />

Age group (yr)<br />

Tan Tru<br />

N %<br />

Tan Thanh<br />

N %<br />

Education<br />

(no. <strong>of</strong> yr <strong>in</strong> school)<br />

Tan Tru<br />

N %<br />

Tan Thanh<br />

N %<br />

70 15 4.8<br />

66 20.7<br />

121 37.9<br />

58 18.2<br />

38 11.9<br />

31 9.7<br />

5 1.6<br />

Did not attend<br />

school<br />

1–5<br />

6–9<br />

10–12<br />

16 years<br />

7 2.2<br />

170 54.7<br />

73 23.5<br />

59 19.0<br />

2 0.6<br />

30 9.3<br />

176 54.8<br />

90 28.0<br />

25 7.8<br />

0 0.0<br />

Farm size (ha)<br />

Tan Tru<br />

N %<br />

Tan Thanh<br />

N %<br />

Method <strong>of</strong> crop<br />

establishment<br />

Tan Tru<br />

N %<br />

Tan Thanh<br />

N %<br />

< 0.5 164 52.6 37 11.5 Direct-seeded 304 97.4 308 97.1<br />

>0.5–1 105 33.7 85 26.5 Transplanted 7 2.2 4 1.8<br />

>1–2 37 11.9 127 39.6 Both 1 0.3 6 1.1<br />

>2–3 4 1.3 49 15.3<br />

>3–4 0 0.0 9 2.8<br />

>4 2 0.6 14 4.4<br />

<strong>Pest</strong> <strong>management</strong> perceptions and practices <strong>in</strong> Long An Prov<strong>in</strong>ce, Vietnam 215


Fig. 2. Distribution <strong>of</strong> <strong>farmers</strong>’ first <strong>in</strong>secticide applications,<br />

summer-autumn, Long An, Vietnam.<br />

cropp<strong>in</strong>g pattern and 97% direct-seeded their <strong>rice</strong>. Almost 90% <strong>of</strong> the <strong>farmers</strong> cultivated<br />

<strong>rice</strong>lands <strong>of</strong> less than 2 ha and 97% said they owned the land they managed.<br />

<strong>Pest</strong> <strong>management</strong> practices<br />

Farmers <strong>in</strong> Long An Prov<strong>in</strong>ce used ma<strong>in</strong>ly pesticides to manage pest problems. Nearly<br />

all <strong>farmers</strong> (99%) used pesticides dur<strong>in</strong>g the summer-autumn 1994 season. The 633<br />

<strong>farmers</strong> <strong>in</strong>terviewed reported us<strong>in</strong>g a total <strong>of</strong> 3,033 sprays. Of these, about 70% were<br />

<strong>in</strong>secticides, 28% fungicides, and 2% herbicides. Most <strong>farmers</strong> (80%) applied pesticides<br />

2–5 times. About 84% applied their first <strong>in</strong>secticide treatment with<strong>in</strong> the first<br />

month after crop establishment (Fig. 2); their ma<strong>in</strong> targets dur<strong>in</strong>g this period were<br />

thrips, leaffolders, brown planthoppers (BPH), caseworms, and stem borers. These<br />

were also common targets at the boot<strong>in</strong>g stage. Sheath blight and yellow leaf disease<br />

were targets from the boot<strong>in</strong>g to s<strong>of</strong>t dough stage, and <strong>rice</strong> bugs at the milk<strong>in</strong>g stage.<br />

<strong>Pest</strong>icide use<br />

Organophosphates were usually the most popular <strong>in</strong>secticides used for <strong>in</strong>sect pest<br />

control <strong>in</strong> <strong>rice</strong>. Methamidophos was the predom<strong>in</strong>ant compound used to control<br />

leaffolders, caseworms, and stem borers (Table 2). It was also used on thrips and <strong>rice</strong><br />

bugs, although most <strong>farmers</strong> used methyl parathion for these pests. For brown<br />

planthoppers, fenobucarb was the most common pesticide used, followed by bupr<strong>of</strong>ez<strong>in</strong><br />

and methamidophos; for sheath blight, <strong>farmers</strong> used the fungicide hexaconazole.<br />

About 34% <strong>of</strong> the total pesticide sprays were compounds <strong>in</strong> WHO category I and<br />

30% were <strong>in</strong> category II. The rest were WHO categories III (1%), V (30%), and unclassified<br />

(5%).<br />

Dur<strong>in</strong>g the 1994 season, 2,123 <strong>in</strong>secticide sprays were applied by the <strong>farmers</strong> we<br />

<strong>in</strong>terviewed. Most sprays targeted one pest, although some targeted two or three (Table<br />

216 Vo Mai et al


2). Of the 2,564 <strong>in</strong>tended targets, 33% were leaffolders, 28% BPH, 14% thrips, 10%<br />

stem borers, 7% caseworms, 4% <strong>rice</strong> bugs, and the rest other <strong>in</strong>sects. The lepidopterous<br />

leaf feeders constituted 43% <strong>of</strong> the <strong>in</strong>tended spray targets.<br />

Farmers <strong>in</strong> the two districts used 849 fungicide sprays and, <strong>of</strong> the 932 spray<br />

targets mentioned, 71% were sheath blight, 26% were yellow leaf disease, and 2%<br />

were blast (Table 3). Although more is known about sheath blight and blast, the causal<br />

agent <strong>of</strong> yellow leaf disease is still unknown.<br />

Farmers ranked the brown planthopper (27%) as the most important pest problem,<br />

followed by sheath blight (26%), leaffolders (16%), and yellow leaf disease (10%).<br />

Most <strong>farmers</strong> applied pesticides for these pests (Table 4). Only 0.5% <strong>of</strong> the <strong>farmers</strong><br />

mentioned that they used other control measures such as water <strong>management</strong>, bait<strong>in</strong>g,<br />

and handpick<strong>in</strong>g.<br />

Table 3. Fungicides used by <strong>farmers</strong> for disease control <strong>in</strong> Long An, Vietnam.<br />

Target <strong>rice</strong> pests, no. <strong>of</strong> targets a , and % b<br />

WHO Sheath Yellow leaf Overall<br />

Fungicides classification c blight disease Blast<br />

N %<br />

Antibiotic<br />

Validamyc<strong>in</strong><br />

Fthalide + kasugamyc<strong>in</strong><br />

Inorganic<br />

Copper oxychloride<br />

Triazole<br />

Hexaconazole<br />

Propiconazole<br />

Dicarboximide<br />

lprodione<br />

Benzimidazole<br />

Benomyl<br />

Carbendazim<br />

Thiophanate-methyl<br />

Phthalimide<br />

Captan<br />

Dithiolane<br />

lsoprothiolane<br />

Cyclopentane<br />

Pencycuron<br />

Dithiocaibamate<br />

V<br />

V<br />

II<br />

V<br />

V<br />

V<br />

V<br />

V<br />

III<br />

192 (28.9) 20 (8.1)<br />

1 (0.1) 1 (0.4)<br />

4 (0.6) 4 (1.6)<br />

279 (42.0) 73 (29.7)<br />

31 (4.7) 12 (4.9)<br />

19 (2.8) 14 (5.7)<br />

55 (8.3) 90 (36.6)<br />

24 (3.6) 22 (8.9)<br />

14 (2.1) 2 (0.8)<br />

3 (0.4) 1 (0.4)<br />

16 (2.4) 4 (1.6)<br />

3 (14.2) 215 23.1<br />

1 (4.8) 3 0.3<br />

0 (0.0) 8 0.9<br />

1 (4.8) 353 37.9<br />

0 (0.0) 43 4.6<br />

0 (0.0) 33 3.5<br />

0 (0.0) 145 15.6<br />

0 (0.0) 46 4.9<br />

1 (4.8) 17 1.8<br />

0 (0.0) 4 0.4<br />

10 (47.6) 30 3.2<br />

V 3 (0.4) 2 (0.8) 0 (0.0) 5 0.5<br />

Mancozeb V 1(0.1) 0 (0.0) 0 (0.0) 1 0.1<br />

Organophosphorus<br />

lprobenfos III 6 (0.9) 1 (0.4) 4 (19.0) 11 1.1<br />

Arsenic<br />

MAFA d 17 (2.6) 0 (0.0) 1 (4.8) 18 1.9<br />

Total 665 (100) 246 (100) 21 (100) 932<br />

a List <strong>of</strong> common names by chemical family. Many <strong>farmers</strong> applied fungicides for more than one disease problem.<br />

b Percentages were based on column totals. c Il = moderately hazardous; III =slightly hazardous, V = unlikely<br />

to present acute hazard <strong>in</strong> normal use. d Ferric ammonium salt <strong>of</strong> methane arsenic acid.<br />

Source: CIRAD 1991.<br />

218 Vo Mai et al


Table 4. Most important <strong>rice</strong> pest problems and respective<br />

pesticide control measures reported by <strong>farmers</strong>, summer-autumn<br />

crop, 1994, Long An, Vietnam.<br />

Farmers’ responses Farmers who<br />

Most important (n=603) applied<br />

<strong>rice</strong> pest problems<br />

pesticides<br />

No. % for control (%)<br />

Brown planthopper 164 27.2 97.0<br />

Sheath blight 159 26.4 97.5<br />

Leaffolder 99 16.4 94.9<br />

Yellow leaf disease 60 10.0 98.3<br />

Stem borer 45 7.5 100.0<br />

Thrips 18 3.0 94.4<br />

Cutworm 17 2.8 82.4<br />

Caseworm 11 1.8 100.0<br />

Rice bug 10 1.7 100.0<br />

Blast 9 1.5 100.0<br />

Grasshopper 5 0.8 60.0<br />

Armyworm 3 0.5 100.0<br />

Tungro 2 0.3 100.0<br />

Rats 1 0.2 0.0<br />

<strong>Pest</strong> <strong>management</strong> knowledge and perceptions<br />

More than 80% <strong>of</strong> the <strong>farmers</strong> <strong>in</strong>terviewed believed that pesticides would kill 75–<br />

100% <strong>of</strong> the pests <strong>in</strong> their <strong>rice</strong>fields, but about 73% did not know that kill<strong>in</strong>g natural<br />

enemies can <strong>in</strong>duce population buildups <strong>of</strong> other pests such as the brown planthopper.<br />

Leaf-feed<strong>in</strong>g <strong>in</strong>sects were the most frequently sprayed; the most common ones that<br />

<strong>farmers</strong> mentioned were leaffolders (84%), caseworms (56%), armyworms (46%),<br />

and thrips (23%). Most <strong>farmers</strong> perceived that leaf-feed<strong>in</strong>g <strong>in</strong>sects would cause severe<br />

damage and yield losses to the <strong>rice</strong> crop (Fig. 3). They also believed that it was<br />

necessary to spray early to control these pests. We compared <strong>rice</strong> yields reported by<br />

<strong>farmers</strong> who sprayed early (dur<strong>in</strong>g the first month <strong>of</strong> the summer-autumn crop<br />

<strong>of</strong> 1994) and those who sprayed later (after the first month) us<strong>in</strong>g the Student t-test<br />

and found them to be not significantly different (P = 0.3). The mean yields were<br />

3.4 t ha -1 (n = 578, SD = 1.09) and 3.8 t ha -1 (n = 49, SD = 1.21), respectively.<br />

Discussion<br />

Farmers’ pest <strong>management</strong> practices <strong>in</strong> Long An did not appear to be different from<br />

those <strong>of</strong> <strong>farmers</strong> <strong>in</strong>terviewed <strong>in</strong> the Mekong Delta <strong>in</strong> May 1992 (Heong et al 1994, Vo<br />

Mai et al 1993). The number <strong>of</strong> sprays farmer -1 season -1 dropped from 7 <strong>in</strong> 1992 to 5<br />

<strong>in</strong> 1994. Proportionally more fungicides were used <strong>in</strong> 1994, <strong>in</strong>creas<strong>in</strong>g from 3% to<br />

28%. Insecticide sprays dropped from 6 to 4 farmer -1 season -1 . But <strong>in</strong>secticide use<br />

patterns were rather similar (Table 5). Organophosphates and carbamates were the<br />

ma<strong>in</strong> <strong>in</strong>secticides used. Highly hazardous WHO category I compounds constituted<br />

48% <strong>of</strong> the <strong>in</strong>secticide sprays <strong>in</strong> 1994, versus 37% <strong>in</strong> 1992. The ma<strong>in</strong> <strong>in</strong>secticides<br />

used were methyl parathion (12%), methamidophos (29%), and monocrotophos (7%).<br />

<strong>Pest</strong> <strong>management</strong> perceptions and practices <strong>in</strong> Long An Prov<strong>in</strong>ce, Vietnam 219


Fig. 3. Farmers’ perceptions <strong>of</strong> leaf-feed<strong>in</strong>g <strong>in</strong>sects (LF), Long<br />

An, Vietnam.<br />

Table 5. Comparison <strong>of</strong> pesticide sprays used <strong>in</strong><br />

the Mekong Delta and Long An.<br />

Spray patterns<br />

Mekong Delta, Long An,<br />

1992 1994<br />

Respondents (no.) 685 633<br />

Sprays season -1 (no.) 4,704 3,033<br />

Sprays farmer 1 season -1 7 5<br />

(av no.)<br />

Insecticide sprays (%) 89 70<br />

Fungicide sprays (%) 3 28<br />

Herbicide sprays (%) 8 2<br />

Insecticide sprays 6 4<br />

farmer 1 season -1<br />

(av no.)<br />

Type <strong>of</strong> <strong>in</strong>secticides<br />

Organochlor<strong>in</strong>es (%) 1 4<br />

Organophosphates (%) 44 49<br />

Carbamates (%) 32 20<br />

Pyrethroids (%) 12 10<br />

Others (%) 10 17<br />

Classification by hazards<br />

Category la (%) 17 12<br />

Category Ib (%) 20 36<br />

Category II (%) 59 38<br />

Category V (%) 1 8<br />

Unclassified (%) 3 6<br />

220 Vo Mai et al


Table 6. Comparison <strong>of</strong> target pests <strong>of</strong> <strong>in</strong>secticide<br />

sprays <strong>in</strong> the Mekong Delta (1992) and<br />

Long An (1994).<br />

Target pests<br />

Sprays (%)<br />

Mekong Long<br />

Delta An<br />

Rice leaffolders 20.5 33.4<br />

Other lepidopterous 21.2 10.2<br />

leaf feeders<br />

Brown planthoppers 33.8 28.0<br />

Stem borers 8.1 10.1<br />

Thrips 4.1 14.0<br />

Rice bugs 1.1 4.2<br />

Other pests 14.2 0.1<br />

Farmers’ target <strong>in</strong>sect pests—ma<strong>in</strong>ly leaf-feed<strong>in</strong>g <strong>in</strong>sects and BPH—had rema<strong>in</strong>ed<br />

unchanged (Table 6). The ma<strong>in</strong> <strong>in</strong>secticides used to control leaf-feed<strong>in</strong>g <strong>in</strong>sects were<br />

still methamidophos and methyl parathion, whereas carbamates were used to control<br />

BPH. In addition, <strong>farmers</strong>’ first <strong>in</strong>secticide applications were ma<strong>in</strong>ly <strong>in</strong> the first 4 wk<br />

after crop establishment, similar to that found <strong>in</strong> 1992.<br />

From May 1992 to August 1994, the M<strong>in</strong>istry <strong>of</strong> Agriculture, together with FAO,<br />

started implement<strong>in</strong>g farmer field schools (FFS) <strong>in</strong> Vietnam. This farmer tra<strong>in</strong><strong>in</strong>g<br />

program has adopted the same model used <strong>in</strong> Indonesia (Matteson et al 1994). Farmers,<br />

after the FFS tra<strong>in</strong><strong>in</strong>g, were found to reduce their <strong>in</strong>secticide <strong>in</strong>puts significantly<br />

(Matteson et al 1994). In Tan Tru District, the first FFS was conducted <strong>in</strong> the wet<br />

season 1993 and, <strong>in</strong> August 1994, 11 FFS were conducted and 297 <strong>farmers</strong> tra<strong>in</strong>ed. In<br />

Tan Thanh District, the FFS started <strong>in</strong> late 1994 and, <strong>in</strong> August 1994, 6 FFS were<br />

implemented and 170 <strong>farmers</strong> tra<strong>in</strong>ed. The total population <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> these<br />

two districts was about 20,000 and fewer than 3% <strong>of</strong> the <strong>farmers</strong> had undergone tra<strong>in</strong><strong>in</strong>g<br />

at the time <strong>of</strong> the survey. Therefore, this could not have accounted for the reduction<br />

<strong>in</strong> <strong>in</strong>secticide use between 1992 and 1994. Moreover, <strong>farmers</strong>’ spray patterns had<br />

not changed; <strong>farmers</strong> cont<strong>in</strong>ued to apply <strong>in</strong>secticides early <strong>in</strong> the crop season to control<br />

leaf-feed<strong>in</strong>g <strong>in</strong>sects.<br />

Lepidopterous larvae, particularly <strong>rice</strong> leaffolders, cont<strong>in</strong>ue to be <strong>farmers</strong>’ ma<strong>in</strong><br />

pest targets. Most <strong>farmers</strong> still perceive that leaf-feed<strong>in</strong>g <strong>in</strong>sects cause severe damage<br />

and yield losses, and that early season spray<strong>in</strong>g is necessary. But field <strong>in</strong>festations<br />

with as much as 67% damaged leaves did not cause any yield loss (Miyashita 1985).<br />

Us<strong>in</strong>g computer simulations, Fabellar et al (1994) found that leaf consumption by 20<br />

larvae hill -1 was <strong>in</strong>sufficient to significantly reduce crop yield. The average larval<br />

densities <strong>in</strong> <strong>rice</strong> crops, on the other hand, are far below these densities. In the Philipp<strong>in</strong>es,<br />

populations were under 1 hill -1 (Guo 1990) and, <strong>in</strong> Japan, the average was<br />

below 2 (Wada and Shimazu 1978). Populations rarely reached 5 larvae hill -1 . Practically<br />

no evidence shows that early season sprays aga<strong>in</strong>st <strong>rice</strong> leaffolders are economi-<br />

<strong>Pest</strong> <strong>management</strong> perceptions and practices <strong>in</strong> Long An Prov<strong>in</strong>ce, Vietnam 221


cally justifiable. Indeed, when <strong>farmers</strong> evaluated early season spray<strong>in</strong>g, yields <strong>of</strong> their<br />

plots with and without early <strong>in</strong>secticide sprays were not significantly different (Heong<br />

et al 1995, Heong and Escalada 1998). Thus, the high proportion <strong>of</strong> <strong>in</strong>secticides used<br />

by Long An <strong>farmers</strong> was still based on perceived rather than real needs.<br />

The ma<strong>in</strong> <strong>in</strong>secticides <strong>farmers</strong> used had broad-spectrum mortality effects, which<br />

have been shown to have detrimental effects on ecological balance (Cohen et al 1994,<br />

Way and Heong 1994). These <strong>in</strong>secticides could cause secondary pest problems, such<br />

as brown planthopper (Kenmore et al 1984, He<strong>in</strong>richs and Mochida 1984, Schoenly<br />

et al 1994). In addition, the <strong>in</strong>secticides <strong>in</strong> WHO category I are hazardous to human<br />

health (Rola and P<strong>in</strong>gali 1993).<br />

Among diseases, <strong>farmers</strong> perceived sheath blight and yellow leaf disease as the<br />

most important. Fungicides were used ma<strong>in</strong>ly when disease symptoms were visible.<br />

For sheath blight, fungicides might have worked, because the chemicals used—<br />

hexaconazole and validamyc<strong>in</strong>—can control the disease. For effective control, sprays<br />

had to be timed appropriately. The survey, however, did not solicit fungicide tim<strong>in</strong>g<br />

<strong>in</strong>formation. The causal factor <strong>of</strong> yellow leaf disease is still controversial. Farmers<br />

had perceived the symptom to be a disease and had adopted the use <strong>of</strong> fungicides. But<br />

whether the fungicide sprays used had prevented yield loss is uncerta<strong>in</strong>. Clearly, scientists<br />

need to better understand <strong>farmers</strong>’ knowledge, attitudes, and practices <strong>in</strong> manag<strong>in</strong>g<br />

diseases <strong>in</strong> order to improve decision mak<strong>in</strong>g. As po<strong>in</strong>ted out by Bentley (1992),<br />

because diseases are important but difficult to observe, scientists have opportunities<br />

to help expand exist<strong>in</strong>g folk taxonomies, enhance farmer observations, and challenge<br />

exist<strong>in</strong>g beliefs.<br />

The <strong>in</strong>sect pest <strong>management</strong> practices <strong>of</strong> Long An <strong>farmers</strong> were found to be far<br />

from satisfactory because unnecessary <strong>in</strong>secticide use was widespread. An obvious<br />

need is farmer tra<strong>in</strong><strong>in</strong>g. At the time <strong>of</strong> the survey, only 6% <strong>of</strong> the <strong>farmers</strong> <strong>in</strong>terviewed<br />

said they had attended tra<strong>in</strong><strong>in</strong>g. If higher proportions <strong>of</strong> <strong>farmers</strong> were tra<strong>in</strong>ed, unnecessary<br />

spray<strong>in</strong>g could decrease. Farmer tra<strong>in</strong><strong>in</strong>g through the FFS approach has been<br />

found to be effective (Matteson et al 1994). In Indonesia, where this tra<strong>in</strong><strong>in</strong>g method<br />

was <strong>in</strong>troduced <strong>in</strong> 1989, 200,000 <strong>farmers</strong> (or 1.3%) were tra<strong>in</strong>ed <strong>in</strong> 4 yr (van de Fliert<br />

et al 1995). If FFS tra<strong>in</strong><strong>in</strong>g were to cover the estimated 15 million <strong>farmers</strong> <strong>in</strong> Indonesia<br />

and the current tra<strong>in</strong><strong>in</strong>g rate were ma<strong>in</strong>ta<strong>in</strong>ed, it would take 18 yr to tra<strong>in</strong> all 15<br />

million.<br />

In August 1994, 83 FFS began <strong>in</strong> Long An and 2,000 <strong>farmers</strong> were tra<strong>in</strong>ed. By<br />

the end <strong>of</strong> 1996, 8,000 (or 4% <strong>of</strong> the prov<strong>in</strong>ce’s estimated 200,000 farmer families)<br />

were expected to be tra<strong>in</strong>ed. To reach the rema<strong>in</strong><strong>in</strong>g 96%, a drastic <strong>in</strong>crease <strong>in</strong> the<br />

number <strong>of</strong> FFS be<strong>in</strong>g implemented and f<strong>in</strong>anc<strong>in</strong>g would be needed. Meanwhile, other<br />

options with a wider and faster reach need to be evaluated. Unnecessary <strong>in</strong>secticide<br />

applications brought about primarily by misperceptions will cont<strong>in</strong>ue to plague <strong>farmers</strong><br />

unless alternative <strong>in</strong>formation that can change their perceptions reaches them. The<br />

use <strong>of</strong> strategic extension campaigns effectively <strong>in</strong>fluenced <strong>farmers</strong>’ rat control and<br />

weed control practices <strong>in</strong> Malaysia (Adhikarya 1994, Matteson et al 1994). Although<br />

an <strong>in</strong>itial 5% <strong>in</strong>crease <strong>in</strong> herbicide use was noted immediately after the weed <strong>management</strong><br />

campaign <strong>in</strong> 1989 (Matteson et al 1994), herbicide use dropped by 33% <strong>in</strong> 1993<br />

222 Vo Mai et al


(Adhikarya 1994). In addition, <strong>farmers</strong>’ land level<strong>in</strong>g practices contributed to better<br />

weed <strong>management</strong>. The cost-benefit ratio <strong>of</strong> the <strong>in</strong>tegrated weed <strong>management</strong> campaign<br />

was estimated at 1:50. The use <strong>of</strong> media perhaps needs to be re-exam<strong>in</strong>ed.<br />

These methods <strong>of</strong> communication use systems readily available to <strong>farmers</strong> and can<br />

dissem<strong>in</strong>ate <strong>in</strong>formation rapidly.<br />

The problem at hand seems to be more related to misperceptions and attitudes <strong>of</strong><br />

<strong>farmers</strong>. Research on the content, format, and mechanisms to communicate different<br />

<strong>in</strong>formation on pest <strong>management</strong> <strong>in</strong> various sociocultural and political contexts may<br />

be useful.<br />

Responses to media across cultures may vary because <strong>of</strong> differences <strong>in</strong> visual<br />

literacy. For <strong>in</strong>stance, <strong>in</strong> Honduras, <strong>farmers</strong> can be distracted and sometimes <strong>of</strong>fended<br />

by comic-book pamphlets (Goodell et al 1990). Farmers preferred pamphlets with<br />

naturalistic l<strong>in</strong>e draw<strong>in</strong>gs and clear technical prose (Bentley and Andrews 1991). Discover<strong>in</strong>g<br />

the critical misperceptions and attitudes and identify<strong>in</strong>g mechanisms for<br />

effect<strong>in</strong>g a rapid change <strong>in</strong> pest <strong>management</strong> practices are still important and immediate<br />

challenges.<br />

References<br />

Adhikarya R. 1994. Strategic extension campaign: a participatory-oriented method <strong>of</strong> agricultural<br />

extension. Rome: FAO.<br />

Bentley JW. 1992. Alternatives to pesticides <strong>in</strong> Central America: applied studies <strong>of</strong> local knowledge.<br />

Cult. Agric. 14:10-13.<br />

Bentley JW, Andrews K. 1991. <strong>Pest</strong>s, peasants and publications: anthropological and entomological<br />

views <strong>of</strong> an <strong>in</strong>tegrated pest <strong>management</strong> program for small-scale Honduran <strong>farmers</strong>.<br />

Human Org. 50:113-124.<br />

CIRAD (<strong>International</strong> Cooperation Centre <strong>in</strong> Agronomic Research for Development). 1991.<br />

Regional agro-pesticide <strong>in</strong>dex, Volume 1 : <strong>Asia</strong>. 3rd ed. Paris (France): CIRAD.<br />

Cohen JE, Schoenly K, Heong KL, Justo H, Ariga G, Barrion AT, Lits<strong>in</strong>ger JA. 1994. A food<br />

web approach to evaluat<strong>in</strong>g the effect <strong>of</strong> <strong>in</strong>secticide spray<strong>in</strong>g on <strong>in</strong>sect pest population<br />

dynamics <strong>in</strong> a Philipp<strong>in</strong>e irrigated <strong>rice</strong> ecosystem. J. Appl. Ecol. 31:747-763.<br />

Conway GR, Pretty JN. 1991. Unwelcome harvest: agriculture and pollution. London: Earthscan<br />

Publications.<br />

Cue NS. 1995. Agriculture <strong>of</strong> Vietnam 1945-199s. Hanoi (Vietnam): Statistical Publish<strong>in</strong>g<br />

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research and extension <strong>in</strong> <strong>in</strong>tegrated pest <strong>management</strong>. Agric. Sys. J. 33:321-340.<br />

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laboratory conditions. PhD thesis. University <strong>of</strong> the Philipp<strong>in</strong>es, Los Baños.<br />

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<strong>rice</strong> brown planthopper, Nilaparvata lugens, resurgence. Protect. Ecol. 7:201-<br />

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Heong KL, Escalada MM. 1998. Chang<strong>in</strong>g <strong>farmers</strong>’ pest <strong>management</strong> practices through farmer<br />

experimentation. Int. J. <strong>Pest</strong> Manage. (In press.)<br />

Heong KL, Cuc NTT, B<strong>in</strong>h N, Chien HV, Fujisaka S, Bottrell DG. 1995. Reduc<strong>in</strong>g early season<br />

<strong>in</strong>secticide applications through <strong>farmers</strong>’ experiments <strong>in</strong> Vietnam. In: Denn<strong>in</strong>g GL,<br />

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Plant Protect. Trop. 1:19-38.<br />

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Wash<strong>in</strong>gton (D.C.): World Resources Institute, and Manila (Philipp<strong>in</strong>es): <strong>International</strong><br />

Rice Research Institute.<br />

Schoenly KG, Cohen JE, Heong KL, Arida GS, Bamon AT, Lits<strong>in</strong>ger JA. 1994. Quantify<strong>in</strong>g<br />

the impact <strong>of</strong> <strong>in</strong>secticides on food web structure <strong>of</strong> <strong>rice</strong>-arthropod populations <strong>in</strong> a Philipp<strong>in</strong>e<br />

farmer’s irrigated field: a case study. In: Polis GA. Wisemiller K, editors. Food webs:<br />

<strong>in</strong>tegration <strong>of</strong> patterns and dynamics. London: Chapman and Hall. p 343-351.<br />

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(N.C., USA): SAS Institute, Inc.<br />

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extension approach: tra<strong>in</strong><strong>in</strong>g <strong>of</strong> IPM tra<strong>in</strong>ees <strong>in</strong> Indonesia. Eur. J. Agric. Educ. Ext. 1:41-<br />

63.<br />

Wada T, Shimazu M. 1978. Seasonal population trends <strong>of</strong> the <strong>rice</strong> leaf roller, Cnaphalocrocis<br />

med<strong>in</strong>alis Guenee (Lepidoptera: Pyralidae). Appl. Entomol. Zool. 17:278-281.<br />

Way MJ, Heong KL. 1994. The role <strong>of</strong> biodiversity <strong>in</strong> the dynamics and <strong>management</strong> <strong>of</strong> <strong>in</strong>sect<br />

pests <strong>of</strong> tropical irrigated <strong>rice</strong>—a review. Bull. Entomol. Res. 84:567-587.<br />

224 Vo Mai et al


Notes<br />

Authors’ addresses: Vo Mai and N.H. Huan. Department <strong>of</strong> Plant Protection, M<strong>in</strong>istry <strong>of</strong> Agriculture<br />

and Rural Development, S.R. Vietnam; K.L. Heong and A.A. Lazaro. Entomology<br />

and Plant Pathology Division, <strong>International</strong> Rice Research Institute, P.O. Box 933, 1099<br />

Manila, Philipp<strong>in</strong>es; M.M. Escalada, Department <strong>of</strong> Development Communication, Visayas<br />

State College <strong>of</strong> Agriculture, Baybay, Leyte, Philipp<strong>in</strong>es.<br />

Acknowledgments: The authors wish to express their appreciation to the Swiss Agency for<br />

Development and Cooperation, which supported this research through the Rice Integrated<br />

<strong>Pest</strong> Management Network, coord<strong>in</strong>ated by the <strong>International</strong> Rice Research Institute <strong>in</strong><br />

Los Baños, Philipp<strong>in</strong>es. Many people contributed to this research. In particular, the authors<br />

are grateful to Madam Sui, the Vice Chairperson <strong>of</strong> the People's Committee <strong>of</strong> Long<br />

An Prov<strong>in</strong>ce, and Madam Ngoc and her staff. who helped implement the survey.<br />

Citation: Heong KL, Escalada MM, editors. 1997. <strong>Pest</strong> <strong>management</strong> <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong>.<br />

Manila (Philipp<strong>in</strong>es): <strong>International</strong> Rice Research Institute.<br />

<strong>Pest</strong> <strong>management</strong> perceptions and practices <strong>in</strong> Long An Prov<strong>in</strong>ce, Vietnam 225


CHAPTER 16<br />

A comparative analysis<br />

<strong>of</strong> pest <strong>management</strong> practices<br />

<strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong><br />

K.L. Heong and M.M. Escalada<br />

Farmer surveys <strong>in</strong> 10 <strong>Asia</strong>n countries were used to exam<strong>in</strong>e trends<br />

<strong>in</strong> <strong>rice</strong> pest <strong>management</strong> practices. <strong>Pest</strong>icides rema<strong>in</strong> the dom<strong>in</strong>ant<br />

control tactic <strong>of</strong> <strong>farmers</strong>, who use <strong>in</strong>secticides more frequently than<br />

herbicides and fungicides. A large proportion <strong>of</strong> <strong>farmers</strong> were still<br />

us<strong>in</strong>g <strong>in</strong>secticide compounds classified as extremely or highly hazardous<br />

to human health (WHO I)—namely, methyl parathion,<br />

monocrotophos, and methamidophos. Herbicides were commonly<br />

used <strong>in</strong> Indonesia, Malaysia, Sri Lanka, Ch<strong>in</strong>a, Vietnam, and the<br />

Philipp<strong>in</strong>es. Only <strong>farmers</strong> <strong>in</strong> Ch<strong>in</strong>a and Vietnam used fungicides regularly.<br />

The mean number <strong>of</strong> <strong>in</strong>secticide sprays varied from 0.3 <strong>in</strong> Laos<br />

to 3.9 <strong>in</strong> Vietnam. Most <strong>of</strong> these sprays were applied dur<strong>in</strong>g the<br />

seedl<strong>in</strong>g, tiller<strong>in</strong>g, and boot<strong>in</strong>g stages <strong>of</strong> the <strong>rice</strong> crop. Farmers usually<br />

overreacted to leaf-feed<strong>in</strong>g pests, collectively referred to as<br />

“worms,” and tended to apply their first <strong>in</strong>secticide sprays dur<strong>in</strong>g<br />

the first 4 weeks after crop establishment. They strongly believed<br />

that leaf-feed<strong>in</strong>g <strong>in</strong>sect pests were damag<strong>in</strong>g and reduced yield. Based<br />

on this perception, <strong>farmers</strong> chose Insecticides (or medic<strong>in</strong>e) to kill<br />

pests to protect their yields. To improve <strong>farmers</strong>’ pest <strong>management</strong><br />

perceptions and decision mak<strong>in</strong>g, research needs to address issues<br />

such as the <strong>in</strong>fluence <strong>of</strong> communication media on perceptions and<br />

attitudes.<br />

Introduction<br />

The Green Revolution <strong>in</strong> <strong>Asia</strong> dur<strong>in</strong>g the 1960s and 1970s had a dramatic impact on<br />

the <strong>rice</strong> economy. Despite limits to land availability, annual growth <strong>in</strong> <strong>rice</strong> production<br />

<strong>in</strong> <strong>Asia</strong> was about 2.7% from 1966 to 1993. Production doubled from 240 million t <strong>in</strong><br />

1966 to 482 million t <strong>in</strong> 1993 (<strong>IRRI</strong> 1995). The major source <strong>of</strong> growth had been from<br />

yield ha -1 , which <strong>in</strong>creased from 2.0 to 3.7 t ha -1 over the same period. In some countries,<br />

yields doubled, from 1.8 to 4.4 t ha -1 <strong>in</strong> Indonesia, from 1.3 to 2.8 t ha -1 <strong>in</strong> the<br />

Philipp<strong>in</strong>es, from 1.3 to 2.7 t ha -1 <strong>in</strong> India, and from 1.8 to 3.5 t ha -1 <strong>in</strong> Vietnam. These<br />

<strong>in</strong>creases had been attributed to the widespread adoption <strong>of</strong> modern high-yield<strong>in</strong>g<br />

221


varieties (HYVs) <strong>in</strong>troduced <strong>in</strong> 1966. In South and Southeast <strong>Asia</strong>, the adoption rate<br />

<strong>of</strong> HYVs reached 60% by the end <strong>of</strong> the 1980s (David and Otsuka 1994).<br />

The rapid spread <strong>of</strong> the modern varieties had been facilitated by national production<br />

programs that dissem<strong>in</strong>ated the new technology and provided irrigation facilities<br />

and credit to <strong>farmers</strong>. In the Philipp<strong>in</strong>es, the Rice Sufficiency Program and the<br />

Masagana 99 Program began <strong>in</strong> 1966 and 1973, respectively (Barker et al 1978). A<br />

similar program, BIMAS, began <strong>in</strong> Indonesia (Adjid 1983). In both countries, the<br />

government <strong>in</strong>troduced fertilizer and pesticide credits together with the HYVs. Rout<strong>in</strong>e<br />

fertilizer and <strong>in</strong>secticide applications were deemed necessary <strong>in</strong>puts and, as a<br />

result, <strong>farmers</strong> sprayed <strong>in</strong>secticides as many as 15 times a season. Although IR8, the<br />

first HYV <strong>in</strong>troduced, was susceptible to pests, subsequent varieties <strong>in</strong>corporated<br />

multiple <strong>in</strong>sect and disease resistance (Panda and Khush 1995). But <strong>farmers</strong> were<br />

encouraged to use <strong>in</strong>secticides at regular <strong>in</strong>tervals, even when grow<strong>in</strong>g these varieties,<br />

through subsidies and loan schemes (Kenmore et al 1987, Conway and Barbier<br />

1990, Conway and Pretty 1991).<br />

High yields from <strong>in</strong>secticide-protected fields at experiment stations (Pathak and<br />

Khan 1994) and high crop losses attributed to <strong>in</strong>sects (Cramer 1967, <strong>IRRI</strong> 1990)<br />

encouraged the chemical <strong>in</strong>dustry to <strong>in</strong>vest <strong>in</strong> new <strong>in</strong>secticide development programs<br />

and <strong>in</strong>fluenced adoption through advertis<strong>in</strong>g and market<strong>in</strong>g strategies. In the Philipp<strong>in</strong>es,<br />

for <strong>in</strong>stance, most <strong>farmers</strong> used <strong>in</strong>secticides despite adopt<strong>in</strong>g new HYVs with<br />

multiple pest resistance (<strong>IRRI</strong> 1994). Research, on the other hand, focused on technology<br />

generation rather than on solv<strong>in</strong>g <strong>farmers</strong>’ problems. Limited efforts went <strong>in</strong>to<br />

understand<strong>in</strong>g <strong>farmers</strong>’ knowledge, perceptions, attitudes, and practices <strong>in</strong> pest control.<br />

Recent analyses <strong>of</strong> <strong>farmers</strong>’ pest <strong>management</strong> <strong>in</strong> the Philipp<strong>in</strong>es and Vietnam<br />

(Heong et al 1994, 1995a,b) showed that a large proportion <strong>of</strong> <strong>in</strong>secticide sprays that<br />

<strong>farmers</strong> used did not produce economic returns. Instead, they could be detrimental to<br />

the ecological balance and cause secondary pest problems, such as the brown<br />

planthopper (Cohen et al 1994, Schoenly et al 1994, Way and Heong 1994). In addition,<br />

pesticides pose threats to <strong>farmers</strong>’ health (Rola and P<strong>in</strong>gali 1993). Between 1991<br />

and 1996, farmer surveys to document <strong>farmers</strong>’ pest <strong>management</strong> knowledge, attitudes,<br />

and practices were carried out <strong>in</strong> 10 <strong>Asia</strong>n countries. In this paper, we have<br />

extracted a few <strong>in</strong>dicator variables <strong>of</strong> these practices from the surveys and made a<br />

comparative analysis.<br />

Each farmer survey was conceptualized and conducted <strong>in</strong>dependently by the respective<br />

researchers; <strong>in</strong> some cases, the generic survey questionnaire developed by<br />

the Rice IPM Network for an earlier survey <strong>in</strong> Leyte, Philipp<strong>in</strong>es (Heong et al 1995a),<br />

served as a guide. Except for the survey <strong>in</strong> Thailand. which focused on women’s<br />

perceptions and practices, nearly all <strong>of</strong> the farmer surveys <strong>in</strong> the analysis—Cambodia,<br />

Ch<strong>in</strong>a, India, Indonesia, Laos, Malaysia, Philipp<strong>in</strong>es, and Sri Lanka—addressed<br />

<strong>farmers</strong>’ pest <strong>management</strong> knowledge, attitudes, and practices. The surveys were conducted<br />

<strong>in</strong> predom<strong>in</strong>antly lowland <strong>rice</strong> areas, except <strong>in</strong> Cambodia and Laos, and covered<br />

sample sizes rang<strong>in</strong>g from 120 to 1,145 (Table 1). The average farm sizes <strong>of</strong><br />

228 Heong and Escalada


Table 1. Details <strong>of</strong> farmer surveys used <strong>in</strong> the analysis.<br />

Sample Average Farmers’<br />

Country Location Survey date size farm size mean age<br />

(ha) (yr)<br />

Cambodia Lowland <strong>rice</strong> area Jun 1995-Apr 1996 1,145 0.6 42.6<br />

Ch<strong>in</strong>a Hunan Apr-May 1991 266 0.25 n.a.<br />

India Tamil Nadu 1994-95 120 n.a. middle-aged<br />

Indonesia West Java 1991-93 128 1.2 44.6<br />

Laos Northern, central, Feb-Oct 1994 463 1.5 mostly 30-45<br />

and southern regions<br />

Malaysia Kedah and Kelantan 1991 and 1994 450 1.5 >40<br />

Philipp<strong>in</strong>es Nueva Ecija June 1994 300


Table 3. Types <strong>of</strong> <strong>in</strong>secticides used by <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong>n countries.<br />

Farmers (%) report<strong>in</strong>g use <strong>of</strong> these <strong>in</strong>secticides<br />

Chemical family/<br />

active <strong>in</strong>gredient WHO Camb Ch<strong>in</strong>a lndo Laos Malay Phil SLanka Thai Viet<br />

category a<br />

Organophosphates<br />

Methyl parathion la 5.5 37.4 27.9 21.0 12.1<br />

Metharnidophos Ib 39.8 2.8 0.8 0.5 1.5 0.8 28.9<br />

Az<strong>in</strong>phos-ethyl Ib 3.2<br />

Monocrotophos Ib 61.8 12.1 53.2 3.0 0.8 6.8<br />

Fenthion lb 1.3 1.5<br />

Phenthoate II 8.0<br />

Chlorpyrifos II 13.8 3.7 7.0<br />

Diaz<strong>in</strong>on II 11.2 0.5 3.2 1.6<br />

Pr<strong>of</strong>en<strong>of</strong>os - 0.5<br />

Malathion III 1.8 0.9<br />

Organochlor<strong>in</strong>es<br />

Endosulfan<br />

Endr<strong>in</strong><br />

L<strong>in</strong>dane<br />

II<br />

la<br />

II<br />

2.8 7.8 49.5 2.5 8.8 4.0<br />

0.5<br />

0.1<br />

Pyrethroids<br />

Cypermethr<strong>in</strong> II<br />

Deltamethr<strong>in</strong> II<br />

Cyhalothr<strong>in</strong> –<br />

Fenvalerate II<br />

Esfenvalerate –<br />

Carbamates<br />

MTMC<br />

II<br />

Carb<strong>of</strong>uran Ib<br />

Carbaryl<br />

II<br />

BPMC (fenobucarb) II<br />

MlPC (isoprocarb) II<br />

Carbosulfan II<br />

Thiocarbamate –<br />

Methomyl<br />

Ib<br />

2.0 13.1 52.7 0.8 2.0<br />

18.8 14.7 0.8 3.8<br />

9.6 2.9<br />

0.1<br />

0.1<br />

22.2<br />

38.1 12.7 4.6 11.8 21.9 0.1<br />

0.5 6.1<br />

42.0 12.9 0.9 2.7 16.5<br />

70.3 2.6 0.4 2.7<br />

1.2<br />

6.1<br />

9.6<br />

Others<br />

Cartap II 2.6<br />

Bupr<strong>of</strong>ez<strong>in</strong> V 23.1 0.8 0.5 7.8<br />

MTMC + fenthoate II 1.1<br />

Chlordimeform II few<br />

Az<strong>in</strong>phos + ethyl +<br />

fenobucarb 1b 0.5<br />

Chlorpyrifos +<br />

fenobucarb II 4.6<br />

Fenobucarb +<br />

methyl parathion – 0.1<br />

Not specified – 0.2<br />

a la = extremely hazardous, Ib = highly hazardous, II = moderately hazardous, IIl = slightly hazardous, V = unlikely<br />

to present acute hazard <strong>in</strong> normal use, – = unclassified.<br />

Source: CIRAD 1991.<br />

230 Heong and Escalada


Methyl parathion was used by <strong>farmers</strong> <strong>in</strong> Laos (37.4%), the Philipp<strong>in</strong>es (27.9%),<br />

Thailand (21 %), and Vietnam (12.1 %). For methamidophos, most users were <strong>farmers</strong><br />

<strong>in</strong> Ch<strong>in</strong>a (39.8%) and Vietnam (28.9%), whereas monocrotophos was applied by more<br />

<strong>farmers</strong> <strong>in</strong> Indonesia (61.8%), the Philipp<strong>in</strong>es (53.2%), and Cambodia (10.4%). Among<br />

the organochlor<strong>in</strong>es, endosulfan was the most popular, with the highest use recorded<br />

for <strong>farmers</strong> <strong>in</strong> the Philipp<strong>in</strong>es (49.5%), followed by Thailand (8.8%), Malaysia (7.8%).<br />

Vietnam (4%), Indonesia (2.8%), and Sri Lanka (2.5%). Cypermethr<strong>in</strong> and deltamethr<strong>in</strong><br />

were the most common pyrethroids used. The majority <strong>of</strong> cypermethr<strong>in</strong> users were<br />

<strong>farmers</strong> <strong>in</strong> the Philipp<strong>in</strong>es (52.7%), followed by those <strong>in</strong> Malaysia (13.1%) and a few<br />

<strong>in</strong> Indonesia (2%) and Vietnam (2%). Deltamethr<strong>in</strong> was used ma<strong>in</strong>ly <strong>in</strong> Indonesia<br />

(18.8%) and the Philipp<strong>in</strong>es (14.7%).<br />

Compared with other carbamates, carb<strong>of</strong>uran appeared to be popular among <strong>farmers</strong><br />

<strong>in</strong> Indonesia (38.1 %), Thailand (21.9%), Malaysia (12.7%), and Sri Lanka (11.8%),<br />

followed by fenobucarb (BPMC), used ma<strong>in</strong>ly <strong>in</strong> Indonesia (42%) and Vietnam<br />

(16.5%). MTMC and MIPC were used mostly by <strong>farmers</strong> <strong>in</strong> Ch<strong>in</strong>a.<br />

Fungicides. The surveys revealed that only <strong>farmers</strong> <strong>in</strong>terviewed <strong>in</strong> Ch<strong>in</strong>a and<br />

Vietnam were heavy fungicide users. In Ch<strong>in</strong>a, 100% <strong>of</strong> the <strong>farmers</strong> reported us<strong>in</strong>g<br />

J<strong>in</strong>ggang-myc<strong>in</strong>, a local fungicide. Vietnamese <strong>farmers</strong> <strong>in</strong>dicated that they used a<br />

variety <strong>of</strong> fungicides, such as hexaconazole (37.9%), validamyc<strong>in</strong> (23.1 %), benomyl<br />

(15.6%), carbendazim (4.9%), and propiconazole (4.6%) (see Vo Mai et al, this volume,<br />

Chapter 15). In India, <strong>farmers</strong> were reported us<strong>in</strong>g edifenphos, but the exact<br />

percentages <strong>of</strong> <strong>farmers</strong> us<strong>in</strong>g pesticides were not specified.<br />

Herbicides. Based on the data available, <strong>farmers</strong> <strong>in</strong> Malaysia and Indonesia were<br />

high users <strong>of</strong> herbicides (Table 4). Although <strong>farmers</strong> <strong>in</strong> Cambodia and Sri Lanka<br />

reported us<strong>in</strong>g them, the specific compounds used were not <strong>in</strong>dicated. For herbicides,<br />

Indonesian <strong>farmers</strong> preferred metsulfuron-methyl (75.1%) and 2,4-D (38.1 %), whereas<br />

<strong>farmers</strong> <strong>in</strong> Malaysia preferred 2,4-D (46.4%) and mol<strong>in</strong>ate + 2,4-D (20.4%). In the<br />

Philipp<strong>in</strong>es, pretilachlor and piperophos + 2,4-D were the most common herbicides.<br />

Rodenticides. In the 10 countries, more <strong>farmers</strong> <strong>in</strong> Indonesia, Malaysia, and Cambodia<br />

used rodenticides. Z<strong>in</strong>c phosphide was most commonly used by <strong>farmers</strong> <strong>in</strong><br />

Cambodia and Malaysia, whereas brodifacoum was ma<strong>in</strong>ly used <strong>in</strong> Malaysia. To control<br />

rats <strong>in</strong> irrigated and tidal swamp areas, 87.3% <strong>of</strong> the <strong>farmers</strong> <strong>in</strong> Indonesia used the<br />

<strong>in</strong>secticide aldicarb.<br />

Farmers used some pesticides that were extremely or highly hazardous to human<br />

health. Table 5 shows the proportions <strong>of</strong> <strong>farmers</strong> <strong>in</strong>terviewed who used pesticides <strong>in</strong><br />

the various WHO classifications. In Laos, the Philipp<strong>in</strong>es, and Thailand, many <strong>farmers</strong><br />

were still us<strong>in</strong>g methyl parathion, classified as WHO Ia (extremely hazardous).<br />

Highly hazardous WHO Ib compounds were reportedly used by more fanners <strong>in</strong><br />

Malaysia, the Philipp<strong>in</strong>es, Ch<strong>in</strong>a. Vietnam, Thailand and Sri Lanka. These pesticides<br />

were ma<strong>in</strong>ly methamidophos, monocrotophos, and carb<strong>of</strong>uran. About 60% <strong>of</strong> the <strong>farmers</strong><br />

<strong>in</strong> Malaysia reported us<strong>in</strong>g z<strong>in</strong>c phosphide, a WHO Ib compound, <strong>in</strong> rat baits.<br />

A comparative analysis <strong>of</strong> pest <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong> 231


Table 4. Types <strong>of</strong> herbicides and rodenticides used by <strong>rice</strong> <strong>farmers</strong> <strong>in</strong><br />

<strong>Asia</strong>n countries.<br />

Chemical family/<br />

active <strong>in</strong>gredient<br />

Farmers (%) report<strong>in</strong>g use <strong>of</strong> these pesticides<br />

WHO a Camb lndon Malay Phil b SLanka<br />

Herbicides<br />

Bensulfuron-methyl – 0.6 0.2 2.5<br />

Mol<strong>in</strong>ate + 2,4-D II 20.4<br />

Qu<strong>in</strong>clorac – 0.6<br />

Propanil Ill 1.8<br />

Pretilachlor – 1.3 34.7<br />

2,4-D II 38.1 46.4 6.5<br />

Metsulfuron-methyl V 75.1 8.4<br />

Oxadiazon V 5.5<br />

Butachlor V 8.1<br />

Butachlor + propanil 7.2<br />

Piperophos + 2,4-D 28.7<br />

Thiobencarb + 2,4-D 0.5<br />

MCPA III 17.7 6.2<br />

Fexanoprop – 7.1<br />

C<strong>in</strong>osulfuron – 1.7<br />

Not specified – 1.7<br />

Rodenticides<br />

Aldicarb c la 87.3<br />

Z<strong>in</strong>c phosphide Ib 8.6 2.2 43.8<br />

Brodifacoum la 24.7 0.7<br />

Bromidialone la 2.7<br />

Chlorophac<strong>in</strong>one la 5.6<br />

Coumatetralyl Ib 1.1<br />

Warfar<strong>in</strong> Ib 0.2<br />

a la = extremely hazardous, Ib = highly hazardous, II = moderately hazardous, III<br />

= slightly hazardous, V = unlikely to present acute hazard <strong>in</strong> normal use, – =<br />

unclassified. b Figures based on herbicide applications (%) from Moody et al (this<br />

volume, Chapter 10). c This <strong>in</strong>secticide, called Temik 106, is widely used by<br />

<strong>farmers</strong> <strong>in</strong> Indonesia as a rat poison.<br />

Source: CIRAD 1991.<br />

Table 5. Classification <strong>of</strong> pesticides used by <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong>n countries.<br />

Farmers (%) us<strong>in</strong>g pesticides<br />

WHO classification<br />

by hazard Camb Ch<strong>in</strong>a Laos Malay Phil SLanka Thai Viet<br />

Extremely hazardous (la) 9.5 – a 8.6 28.3 b 28.4 0.7 21.0 12.0<br />

Highly hazardous (Ib) 1.7 39.8 5.8 59.9 c 56.4 22.2 23.5 36.0<br />

Moderately hazardous (II)<br />

– 70.3 9.0 76.1 83.5 29.7 16.5 38.0<br />

Slightly hazardous (Ill)<br />

– – – 1.8 1.8 0.9 – –<br />

Unlikely to present acute – – – 10.5 – – – 8.0<br />

hazard <strong>in</strong> normal use (V)<br />

Unclassified (–) – 54.5 – – 15.6 – – 6.0<br />

a – = negligible.<br />

b Ma<strong>in</strong>ly brodifacoum as rat poison.<br />

c<br />

Ma<strong>in</strong>ly z<strong>in</strong>c phosphide as rat poison and<br />

carb<strong>of</strong>uran.<br />

232 Heong and Escalada


<strong>Pest</strong>s reported to be most important by <strong>farmers</strong><br />

Insect pests dom<strong>in</strong>ated the list <strong>of</strong> pests reported by <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> the 10 countries<br />

surveyed, followed by weeds, rats, and diseases. Table 6 lists the pests mentioned as<br />

important by <strong>farmers</strong>. In 9 out <strong>of</strong> the 10 countries—Cambodia, Ch<strong>in</strong>a, India, Laos,<br />

Malaysia, Philipp<strong>in</strong>es, Sri Lanka, Thailand, and Vietnam—<strong>rice</strong> <strong>farmers</strong> reported lepidopterous<br />

leaf feeders to be the most important pests, followed by the stem borer,<br />

brown planthopper, weeds, <strong>rice</strong> bug, rats, and birds.<br />

Farmers’ pesticide spray targets<br />

Farmers’ pesticide applications <strong>in</strong> <strong>Asia</strong> ma<strong>in</strong>ly targeted <strong>in</strong>sect pests and weeds (Table<br />

7). Among the <strong>in</strong>sects, lepidopterous leaf feeders, stem borers, brown planthopper,<br />

and <strong>rice</strong> bugs appeared to be commonly sprayed. Rice <strong>farmers</strong> <strong>in</strong> Ch<strong>in</strong>a, Indonesia,<br />

Malaysia, Sri Lanka, Thailand, and Vietnam also commonly used herbicides. For disease<br />

problems, fungicides were <strong>of</strong>ten used only <strong>in</strong> Ch<strong>in</strong>a and Vietnam. Their ma<strong>in</strong><br />

targets were sheath blight, blast, and yellow leaf disease.<br />

Frequency and tim<strong>in</strong>g <strong>of</strong> <strong>in</strong>secticide applications<br />

Insecticides were applied as many as 11 times a season <strong>in</strong> some countries (e.g., Vietnam),<br />

whereas <strong>in</strong> Cambodia and Laos, many <strong>farmers</strong> (63% and 77%, respectively)<br />

did not apply any. Accord<strong>in</strong>g to the frequency distributions <strong>of</strong> applications <strong>in</strong> some<br />

countries (Table 8), Vietnamese <strong>farmers</strong> applied an average <strong>of</strong> 4 sprays per season,<br />

whereas <strong>in</strong> Laos the average was only 0.3. We used both the mean and the mode to<br />

describe the central tendency <strong>of</strong> the <strong>farmers</strong>’ number <strong>of</strong> <strong>in</strong>secticide sprays. There was<br />

Table 6. <strong>Pest</strong>s reported to be important by <strong>farmers</strong> <strong>in</strong> different <strong>Asia</strong>n countries.<br />

<strong>Pest</strong>s<br />

Countries<br />

Camb Ch<strong>in</strong>a India Indo Laos Malay Phil SLanka Thai Viet<br />

Insects<br />

Lepidopterous<br />

leaf feeders<br />

Stem borers<br />

Rice bugs<br />

Brown planthopper<br />

Thrips<br />

Gall midge<br />

Diseases<br />

Sheath blight<br />

Blast<br />

Bacterial leaf blight<br />

Yellow leaf disease a<br />

Tungro<br />

Weeds<br />

Rats<br />

Birds<br />

a Casual agent still unknown.<br />

A comparative analysis <strong>of</strong> pest <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong> 233


Table 7. Ma<strong>in</strong> target pests for which pesticides were used by <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong>.<br />

<strong>Pest</strong>s<br />

Insects<br />

Lepidopterous<br />

leaf feeders<br />

Stem borers<br />

Rice bugs<br />

Black bug<br />

Brown planthopper<br />

Thrips<br />

Diseases<br />

Sheath blight<br />

Blast<br />

Yellow leaf disease<br />

Tungro<br />

Weeds<br />

Rats<br />

Birds<br />

Snails<br />

Farmers (%) report<strong>in</strong>g these target pests<br />

Camb Ch<strong>in</strong>a India lndo Laos Malay Phil SLanka Thai<br />

Viet<br />

Table 8. Frequency <strong>of</strong> <strong>in</strong>secticide use <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong>n countries.<br />

Sprays (no.)<br />

Camb<br />

Farmers (%) report<strong>in</strong>g<br />

lndo Laos Malay Phil SLanka Thai Viet<br />

0<br />

1<br />

2<br />

3<br />

63.1<br />

14.2<br />

11.7<br />

7.5<br />

3.9<br />

14.9<br />

27.6<br />

19.9<br />

76.9<br />

18.2<br />

4.1<br />

0.6<br />

4.8<br />

25.9<br />

47.0<br />

20.6<br />

sprays season -1<br />

4<br />

5<br />

6<br />

7<br />

8<br />

9<br />

10<br />

11<br />

Mean no. <strong>of</strong><br />

Mode<br />

Variance (S 2 )<br />

2.8<br />

0<br />

0<br />

0.4<br />

0<br />

0<br />

0<br />

0<br />

0.7<br />

0<br />

137.8<br />

25.4<br />

7.2<br />

1.1<br />

0<br />

0<br />

0<br />

0<br />

0<br />

2.7<br />

2<br />

179.6<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0.2<br />

0<br />

0.3<br />

0<br />

31.5<br />

1.7<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

1.9<br />

2<br />

71.2<br />

5.3<br />

4.4<br />

18.9<br />

35.5<br />

14.9<br />

9.6<br />

7.9<br />

1.7<br />

0.4<br />

0.9<br />

0.4<br />

0<br />

3.3<br />

3<br />

248.0<br />

36.4<br />

21.5<br />

18.8<br />

11.8<br />

11.5<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

1.4<br />

0<br />

189.5<br />

0<br />

35.4<br />

31.8<br />

21.9<br />

4.7<br />

1.0<br />

2.6<br />

1.0<br />

0<br />

0<br />

1.6<br />

0<br />

2.3<br />

1<br />

86.8<br />

1.1<br />

4.4<br />

13.6<br />

22.5<br />

28.2<br />

16.5<br />

8.5<br />

3.0<br />

1.6<br />

0.6<br />

0<br />

0.2<br />

3.9<br />

4<br />

232.9<br />

234 Heong and Escalada


Table 9. Tim<strong>in</strong>g <strong>of</strong> <strong>in</strong>secticide applications <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong>n countries.<br />

Crop stage<br />

Seedbed<br />

Seedl<strong>in</strong>g<br />

Tiller<strong>in</strong>g<br />

Boot<strong>in</strong>g<br />

Flower<strong>in</strong>g<br />

Milk<strong>in</strong>g<br />

S<strong>of</strong>t dough<br />

Ripen<strong>in</strong>g<br />

Farmers (%) a<br />

Camb lndon Laos Malay Phil SLanka Thai Viet<br />

0 0 2.4 0 0 0 0 0<br />

5.6 30.3 17.0 38.7 26.6 42.0 44.7 57.8<br />

27.9 75.9 0 57.3 41.5 40.0 28.7 83.4<br />

14.0 33.4 2.4 6.7 17.5 18.0 12.7 86.2<br />

7.5 13.8 0 33.7 4.4 0 7.7 67.7<br />

7.5 13.8 0.9 21.9 3.4 0 2.4 25.6<br />

0 0.6 0 0 1.1 0 3.0 0.6<br />

0 0 0 0 0 0 0.9 0.2<br />

a Farmers sprayed at more than one crop stage.<br />

Table 10. Tim<strong>in</strong>g <strong>of</strong> first <strong>in</strong>secticide applications <strong>of</strong> <strong>rice</strong> <strong>farmers</strong><br />

<strong>in</strong> <strong>Asia</strong>n countries.<br />

Wk after crop<br />

establishment<br />

Farmers (%)<br />

Indonesia Malaysia Philipp<strong>in</strong>es Vietnam<br />

1–4 59.7 53.9 97.8 84.1<br />

5–8 29.8 23.5 2.2 15.1<br />

>8 1.7 1.1 0.0 0.8<br />

a high variation among <strong>farmers</strong> <strong>in</strong> most countries, with the Philipp<strong>in</strong>es and Vietnam<br />

hav<strong>in</strong>g the highest. In Laos, where variance was low, most <strong>farmers</strong> did not apply any<br />

<strong>in</strong>secticides. In Malaysia, 47% applied two sprays and <strong>in</strong> Thailand 35% applied one.<br />

Most pesticide applications were made <strong>in</strong> the early stages <strong>of</strong> the crop (Table 9).<br />

Except for Cambodia and Laos, some <strong>of</strong> these were herbicides. At the tiller<strong>in</strong>g stage,<br />

most <strong>farmers</strong> who sprayed their crops were <strong>in</strong> Vietnam (83.4%), Indonesia (75.98),<br />

and Malaysia (57.3%). At the boot<strong>in</strong>g stage, most <strong>farmers</strong> who applied pesticides<br />

were from Vietnam (86.2%). In most <strong>of</strong> these cases, the ma<strong>in</strong> pesticides used were<br />

<strong>in</strong>secticides.<br />

Data were then disaggregated to exam<strong>in</strong>e the distribution <strong>of</strong> <strong>farmers</strong>’ first <strong>in</strong>secticide<br />

applications. Among the four countries where data were available (Table 10),<br />

many <strong>farmers</strong> applied their first sprays dur<strong>in</strong>g the first 4 wk after crop establishment,<br />

especially <strong>in</strong> the Philipp<strong>in</strong>es (97.8%) and Vietnam (84.1%).<br />

Most <strong>of</strong> these early crop <strong>in</strong>secticide sprays were for leaf-feed<strong>in</strong>g <strong>in</strong>sects. When<br />

exam<strong>in</strong><strong>in</strong>g <strong>farmers</strong>’ perceptions <strong>of</strong> leaf-feed<strong>in</strong>g <strong>in</strong>sects, we found an <strong>in</strong>terest<strong>in</strong>g association<br />

between perceptions and behavior. Table 11 shows that a large proportion <strong>of</strong><br />

<strong>farmers</strong> <strong>in</strong> Sri Lanka (72%), Vietnam (66.7%), Laos (66%), and the Philipp<strong>in</strong>es (60%)<br />

believe that leaf-feed<strong>in</strong>g <strong>in</strong>sects cause severe damage to the <strong>rice</strong> crop. Similarly, a<br />

majority <strong>of</strong> the <strong>farmers</strong> <strong>in</strong> six countries—Ch<strong>in</strong>a (93.6%), Laos (72.5%), Vietnam<br />

(69.7%), Sri Lanka (65.2%), the Philipp<strong>in</strong>es (52.3%), and Thailand (51.4%)—believe<br />

that leaf-feed<strong>in</strong>g <strong>in</strong>sects cause yield losses and that it is necessary to control<br />

them early <strong>in</strong> the cropp<strong>in</strong>g season.<br />

A comparative analysis <strong>of</strong> pest <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong> 235


Table 11. Farmers’ perceptions <strong>of</strong> leaf-feed<strong>in</strong>g <strong>in</strong>sects <strong>in</strong> <strong>Asia</strong>n countries.<br />

Attitude statement Ch<strong>in</strong>a Laos Philipp<strong>in</strong>es Sri Lanka Thailand Vietnam<br />

Leaf-feed<strong>in</strong>g <strong>in</strong>sects n.a. a 66.0 60.0 72.0 41.2 66.7<br />

cause severe damage<br />

to the <strong>rice</strong> crop.<br />

Leaf-feed<strong>in</strong>g <strong>in</strong>sects 93.6 72.5 52.3 65.2 51.4 69.7<br />

cause yield loss<br />

It is necessary to 93.6 n.a. 97.6 60.3 43.4 n.a.<br />

spray for leaf-feed<strong>in</strong>g<br />

<strong>in</strong>sects.<br />

Control for leaf-feed<strong>in</strong>g 93.6 43.5 57.6 56.5 36.2 76.9<br />

<strong>in</strong>sects should be<br />

done early.<br />

a n.a. = not available.<br />

Discussion<br />

From a total <strong>of</strong> 4,055 <strong>farmers</strong> surveyed and the hundreds that we <strong>in</strong>terviewed personally,<br />

several trends <strong>in</strong> <strong>Asia</strong>n <strong>rice</strong> <strong>farmers</strong>’ pest <strong>management</strong> are evident. <strong>Pest</strong>icides<br />

rema<strong>in</strong> the dom<strong>in</strong>ant control tactic that <strong>farmers</strong> rely on. This might be attributed partly<br />

to their association <strong>of</strong> pesticides with medic<strong>in</strong>e. Indeed, pesticides are referred to as<br />

medic<strong>in</strong>e <strong>in</strong> all the countries we surveyed (Appendix I). The surveys showed that <strong>rice</strong><br />

<strong>farmers</strong>’ pest <strong>management</strong> practices have changed little s<strong>in</strong>ce 1984 from the description<br />

<strong>of</strong> Lim and Heong (1984). In some cases, such as Malaysia, the proportion <strong>of</strong><br />

<strong>farmers</strong> us<strong>in</strong>g <strong>in</strong>secticides rose from 46% <strong>in</strong> 1975 to 62% <strong>in</strong> 1984 (Heong et al 1985)<br />

and 95% <strong>in</strong> 1995 (Nonniyah and Chang, this volume, Chapter 8). The chemicals<br />

changed, from less use <strong>of</strong> endosulfan to <strong>in</strong>creased use <strong>of</strong> cypermethr<strong>in</strong>. In other cases,<br />

however, such as the Philipp<strong>in</strong>es, <strong>farmers</strong> were still us<strong>in</strong>g chemicals they had used 15<br />

years ago (Lits<strong>in</strong>ger et al 1980).<br />

<strong>Pest</strong>icides used by <strong>farmers</strong><br />

Farmers used <strong>in</strong>secticides more frequently than any other pesticides, followed by<br />

herbicides and fungicides. This distribution <strong>of</strong> pesticide use is reflected <strong>in</strong> the <strong>rice</strong><br />

pesticide market outside Japan for the period 1990-95 (Fig. 1) (McKenzie 1996). The<br />

total market value was US$1.6 billion. Insecticides accounted for 47%, herbicides<br />

31%, and fungicides 22%. Large proportions <strong>of</strong> <strong>farmers</strong> surveyed <strong>in</strong> the Philipp<strong>in</strong>es,<br />

Ch<strong>in</strong>a, Thailand, and Vietnam were still us<strong>in</strong>g pesticides classified by WHO as extremely<br />

hazardous (WHO Ia) or highly hazardous (WHO Ib) to human health, banned,<br />

or under restricted use <strong>in</strong> many countries.<br />

Many <strong>farmers</strong> were still us<strong>in</strong>g <strong>in</strong>secticide compounds banned or restricted because<br />

<strong>of</strong> their potential hazards to human health. Methyl parathion (WHO Ia),<br />

monocrotophos (WHO Ib), and methamidophos (WHO Ib) were commonly used <strong>in</strong><br />

Cambodia, Ch<strong>in</strong>a, India, Indonesia, Laos, the Philipp<strong>in</strong>es, Thailand, and Vietnam.<br />

Although banned by governments, these products rema<strong>in</strong> readily available to <strong>farmers</strong><br />

<strong>in</strong> Indonesia, the Philipp<strong>in</strong>es, and Vietnam, whereas governments <strong>of</strong> the other coun-<br />

236 Heong and Escalada


Fig. 1. The <strong>rice</strong> pesticide market outside Japan, 1990-95 (data from<br />

McKenzie Consultants Ltd.).<br />

tries had not categorically banned them. In Malaysia, <strong>rice</strong> <strong>farmers</strong> hardly used any <strong>of</strong><br />

these products, perhaps because <strong>of</strong> strong government commitments to implement<br />

the <strong>Pest</strong>icides Act.<br />

Pyrethroids, particularly cypermethr<strong>in</strong> and deltamethr<strong>in</strong>, were commonly applied<br />

to <strong>Asia</strong>n <strong>rice</strong>fields. These chemicals ma<strong>in</strong>ly targeted leaf-feed<strong>in</strong>g <strong>in</strong>sects, such as <strong>rice</strong><br />

leaffolders. Though frequently sprayed, however, these pests cause negligible yield<br />

losses (Heong 1993). Damage by these pests can be highly visible, especially dur<strong>in</strong>g<br />

the early crop stages, which stimulates <strong>farmers</strong> to respond by spray<strong>in</strong>g. These early<br />

<strong>in</strong>secticide applications may, however, favor the development <strong>of</strong> secondary pests, such<br />

as the brown planthopper (BPH), Nilaparvata lugens. Evidence that BPH is a secondary<br />

pest <strong>of</strong> <strong>rice</strong> is well documented (Kenmore et al 1984, He<strong>in</strong>richs and Mochida<br />

1984, Schoenly et al 1994, Rombach and Gallagher 1994, Way and Heong 1994) and<br />

pyrethroid <strong>in</strong>secticides have been shown to disorganize ecological food web relationships<br />

that favor planthoppers (Cohen et al 1994).<br />

Endosulfan was the ma<strong>in</strong> organochlor<strong>in</strong>e <strong>of</strong>ten used by <strong>Asia</strong>n <strong>farmers</strong>. Although<br />

endosulfan was banned <strong>in</strong> the Philipp<strong>in</strong>es, about 50% <strong>of</strong> the <strong>farmers</strong> surveyed said<br />

they were still us<strong>in</strong>g it. Endosulfan was used to control the golden apple snail, besides<br />

controll<strong>in</strong>g <strong>in</strong>sect pests. Farmers <strong>in</strong> Ch<strong>in</strong>a, Indonesia, Malaysia, the Philipp<strong>in</strong>es, and<br />

Vietnam frequently used carbamates. The most common chemicals were BPMC and<br />

MIPC, used ma<strong>in</strong>ly to control planthoppers and leafhoppers. Another <strong>in</strong>secticide used,<br />

ma<strong>in</strong>ly <strong>in</strong> Indonesia, for hopper control was bupr<strong>of</strong>ez<strong>in</strong>. In Indonesia, Thailand, Sri<br />

Lanka, and Malaysia, <strong>farmers</strong> used carb<strong>of</strong>uran granules for stem borer control. Another<br />

carbamate, aldicarb, categorized as an extremely hazardous pesticide (WHO<br />

Ia), was a common <strong>in</strong>gredient <strong>in</strong> rat poisons <strong>in</strong> Indonesia.<br />

Farmers commonly used herbicides <strong>in</strong> Cambodia, Indonesia, Malaysia, Sri Lanka,<br />

Ch<strong>in</strong>a, Vietnam, and the Philipp<strong>in</strong>es. Accord<strong>in</strong>g to results from Indonesia, Malaysia,<br />

and the Philipp<strong>in</strong>es (Moody et al, this volume, Chapter 10), <strong>farmers</strong> ma<strong>in</strong>ly used the<br />

A comparative analysis <strong>of</strong> pest <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong> 237


herbicides 2,4-D, pretilachlor, metsulfuron-methyl, piperophos + 2,4-D, and MCPA.<br />

In the Philipp<strong>in</strong>es, most <strong>farmers</strong> made one or two applications, ma<strong>in</strong>ly dur<strong>in</strong>g the<br />

seedl<strong>in</strong>g stage, to control Ech<strong>in</strong>ochloa species and other weeds.<br />

Of the 10 countries surveyed, only <strong>farmers</strong> <strong>in</strong> Ch<strong>in</strong>a and Vietnam used fungicides<br />

regularly. In Ch<strong>in</strong>a, a locally manufactured antibiotic, J<strong>in</strong>ggang-myc<strong>in</strong>, was commonly<br />

applied to <strong>rice</strong>fields, ma<strong>in</strong>ly to control sheath blight. Similarly, many <strong>farmers</strong> <strong>in</strong> Vietnam<br />

used validamyc<strong>in</strong> to manage sheath blight. Two other fungicides frequently used<br />

<strong>in</strong> Vietnam were hexaconazole and benomyl to control sheath blight and yellow leaf<br />

disease (Vo Mai et al, this volume, Chapter 15). Although the causal agent <strong>of</strong> yellow<br />

leaf disease had not been determ<strong>in</strong>ed, <strong>farmers</strong> were respond<strong>in</strong>g to the symptoms by<br />

spray<strong>in</strong>g fungicides. Because about 98% <strong>of</strong> the <strong>farmers</strong> <strong>in</strong>terviewed <strong>in</strong> Long An had<br />

applied fungicides to control this disease, this is an opportunity for research to help<br />

<strong>farmers</strong> avoid pesticide misuse.<br />

The mean number <strong>of</strong> <strong>in</strong>secticide sprays varied from 0.3 <strong>in</strong> Laos to 3.9 <strong>in</strong> Vietnam.<br />

In Cambodia and Laos, more than 60% <strong>of</strong> the <strong>farmers</strong> did not use any <strong>in</strong>secticides<br />

and <strong>in</strong> Sri Lanka 36% did not apply any. In the other countries, <strong>farmers</strong> usually<br />

applied 2 or 3 sprays. Most <strong>of</strong> these sprays were applied dur<strong>in</strong>g the seedl<strong>in</strong>g, tiller<strong>in</strong>g,<br />

and boot<strong>in</strong>g stages <strong>of</strong> the <strong>rice</strong> crop. At these stages, the ma<strong>in</strong> pests that are highly<br />

visible are leaf-feed<strong>in</strong>g <strong>in</strong>sects, such as <strong>rice</strong> leaffolders, the <strong>rice</strong> caseworm, thrips,<br />

whorl maggots, and armyworms. Under extreme conditions, each <strong>of</strong> these species<br />

can destroy a <strong>rice</strong> crop, but such conditions <strong>in</strong> nature are extremely rare. The whorl<br />

maggot usually attacks <strong>rice</strong> <strong>in</strong> the first 2 wk after transplant<strong>in</strong>g. Although as much as<br />

100% <strong>of</strong> the hills can be damaged, caus<strong>in</strong>g the crop to look devastated, no yield loss<br />

could be detected (Viajante and He<strong>in</strong>richs 1986). Similarly, for leaffolders, normal<br />

larval densities are under 5 hill -1 ; it was shown that densities need to reach 15 before<br />

any yield loss can be detected (Fabellar et al 1994).<br />

Farmers’ perceptions <strong>of</strong> pests<br />

In the 10 countries surveyed, <strong>farmers</strong>’ overreactions to pests—collectively referred to<br />

as “worms”—were rather similar to those <strong>of</strong> an earlier analysis <strong>of</strong> <strong>farmers</strong>’ pest <strong>management</strong><br />

practices <strong>in</strong> the Mekong Delta <strong>of</strong> Vietnam and Leyte Prov<strong>in</strong>ce <strong>in</strong> the Philipp<strong>in</strong>es<br />

(Heong et al 1994). In countries where data were available, we found that <strong>farmers</strong><br />

tended to apply their first <strong>in</strong>secticides, usually to control leaf-feed<strong>in</strong>g <strong>in</strong>sects, dur<strong>in</strong>g<br />

the first 4 wk after crop establishment. Farmers also strongly believed that leaffeed<strong>in</strong>g<br />

<strong>in</strong>sects would cause yield losses. Perhaps <strong>Asia</strong>n <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> general have<br />

similar attitudes and behavior toward pest <strong>management</strong>. They strongly believe that<br />

leaf-feed<strong>in</strong>g pests are damag<strong>in</strong>g and yield-reduc<strong>in</strong>g. Based on this perception, they<br />

choose <strong>in</strong>secticides (or medic<strong>in</strong>e) to kill pests to protect their yields. Farmers seem to<br />

emphasize “kill<strong>in</strong>g” pests rather than prevent<strong>in</strong>g losses. Over the years, <strong>farmers</strong> have<br />

learned to use <strong>in</strong>secticides that are less expensive and highly toxic to “worms,” which<br />

might account for the high use <strong>of</strong> methyl parathion and monocrotophos. <strong>Asia</strong>n <strong>rice</strong><br />

<strong>farmers</strong> seem to be trapped <strong>in</strong> a vicious circle <strong>of</strong> mak<strong>in</strong>g wrong decisions about pest<br />

problems and <strong>in</strong>secticide use and have become victims <strong>of</strong> <strong>in</strong>secticide abuse (Bentley<br />

1989). It is evident that, to improve <strong>farmers</strong>’ pest <strong>management</strong> decisions, we need to<br />

238 Heong and Escalada


identify processes that can help change <strong>farmers</strong>’ perceptions <strong>of</strong> pests and their <strong>management</strong>.<br />

From season to season, <strong>farmers</strong> are likely to face similar pest problems. Decisions<br />

made <strong>in</strong> the previous season (period t) can <strong>in</strong>fluence the current season’s decisions<br />

(period t+l) (Mumford and Norton 1984). Because pest problems, control options,<br />

and objectives <strong>of</strong>ten rema<strong>in</strong> much the same year after year, <strong>farmers</strong>’ perceptions<br />

and actions rarely change. This could account for the persistence <strong>in</strong> <strong>farmers</strong>’<br />

<strong>in</strong>secticide misuse. S<strong>in</strong>ce the outcome <strong>of</strong> period t can <strong>in</strong>fluence perceptions <strong>in</strong> the<br />

next period, <strong>in</strong>troduc<strong>in</strong>g an action that can result <strong>in</strong> a different outcome can be used to<br />

change <strong>farmers</strong>’ perceptions. Farmers can also be persuaded to use other objectives,<br />

such as yields and pr<strong>of</strong>its, rather than <strong>in</strong>sect deaths, when compar<strong>in</strong>g outcomes. This<br />

approach was applied to change <strong>farmers</strong>’ perceptions and practices <strong>in</strong> <strong>rice</strong> leaffolder<br />

control <strong>in</strong> the Philipp<strong>in</strong>es (Heong and Escalada 1997) and Vietnam (Heong et al 1995b).<br />

Participat<strong>in</strong>g <strong>farmers</strong> reduced their <strong>in</strong>secticide use by 50% after conduct<strong>in</strong>g an experiment<br />

to evaluate whether the heuristic (or simple rule)—spray<strong>in</strong>g <strong>in</strong>secticides <strong>in</strong><br />

the first 30 d after transplant<strong>in</strong>g (or 40 d after sow<strong>in</strong>g)—would make a difference <strong>in</strong><br />

yields. Accord<strong>in</strong>g to Fest<strong>in</strong>ger’s (1957) cognitive dissonance theory, an <strong>in</strong>formation<br />

<strong>in</strong> direct conflict with current beliefs can create a state <strong>of</strong> psychological dissonance<br />

and can motivate <strong>in</strong>formation recipients to seek resolution through re-evaluation. The<br />

potentia1 rewards when the question is resolved can serve as important <strong>in</strong>centives.<br />

Because the use <strong>of</strong> conflict<strong>in</strong>g <strong>in</strong>formation on chang<strong>in</strong>g perceptions works well when<br />

<strong>in</strong>formation can be evaluated objectively (de Bono 1970), communicat<strong>in</strong>g new <strong>in</strong>formation<br />

along with a simple farmer’s experiment for evaluation seems to be effective.<br />

Tra<strong>in</strong><strong>in</strong>g through the farmer field school (FFS) approach can also change perceptions<br />

and pest <strong>management</strong> practices. In Indonesia, FFS-tra<strong>in</strong>ed <strong>farmers</strong> reduced <strong>in</strong>secticide<br />

spray<strong>in</strong>g from an average <strong>of</strong> 2.8 sprays farmer -1 to 0.9 and the proportion <strong>of</strong><br />

<strong>farmers</strong> not spray<strong>in</strong>g <strong>in</strong>creased from 26% to 50% (Matteson et a1 1994, van de Fliert<br />

et al 1995). In 15 wk <strong>of</strong> tra<strong>in</strong><strong>in</strong>g, <strong>farmers</strong> <strong>of</strong>ten went through exercises <strong>in</strong> identify<strong>in</strong>g<br />

components <strong>of</strong> the ecosystem, discuss<strong>in</strong>g their functions (ecosystem analysis), and<br />

do<strong>in</strong>g a series <strong>of</strong> simple experiments to evaluate ideas. To evaluate whether leaf-feed<strong>in</strong>g<br />

<strong>in</strong>sects would cause yield losses, <strong>farmers</strong> observed an experiment <strong>in</strong> which leaves<br />

were removed by cutt<strong>in</strong>g and measured differences <strong>in</strong> yields.<br />

An important role <strong>of</strong> research is to transform <strong>farmers</strong>’ needs <strong>in</strong>to researchable<br />

problems and communicate the results back to <strong>farmers</strong> (Pray and Echeverria 1990).<br />

To facilitate this, we need to adopt a radical change <strong>in</strong> the research approach by emphasiz<strong>in</strong>g<br />

understand<strong>in</strong>g <strong>farmers</strong>’ pest <strong>management</strong> knowledge and practices and the<br />

root causes <strong>of</strong> <strong>farmers</strong>’ problems. This has been discussed by Norton and Mumford<br />

(1993), Bentley and Andrews (1996), and Heong (1996). We also need to emphasize<br />

the participatory process, which beg<strong>in</strong>s with a problem def<strong>in</strong>ition from <strong>farmers</strong>’ perspectives<br />

before sett<strong>in</strong>g research priorities and activities (Fig. 2). Even when research<br />

is well targeted, the results may not get through to be adopted by <strong>farmers</strong>—a problem<br />

<strong>of</strong> delivery (Norton and Mumford 1993). Dissem<strong>in</strong>at<strong>in</strong>g, receiv<strong>in</strong>g, understand<strong>in</strong>g,<br />

<strong>in</strong>ternaliz<strong>in</strong>g, and us<strong>in</strong>g research <strong>in</strong>formation <strong>in</strong> decision mak<strong>in</strong>g would probably require<br />

improvements <strong>in</strong> communication. Because <strong>farmers</strong> live <strong>in</strong> an environment that<br />

A comparative analysis <strong>of</strong> pest <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong> 239


Fig. 2. A proposed radical change <strong>in</strong> the<br />

research sequence. (Adapted from<br />

Bentley and Andrews 1996.)<br />

conta<strong>in</strong>s numerous compet<strong>in</strong>g sources <strong>of</strong> <strong>in</strong>formation, we need research to address<br />

how communication media shape perceptions and attitudes <strong>of</strong> <strong>rice</strong> <strong>farmers</strong>. In pest<br />

<strong>management</strong>, where risk aversion among <strong>farmers</strong> seems to be more pervasive, understand<strong>in</strong>g<br />

the impact <strong>of</strong> <strong>in</strong>formation provided by various sources on decision mak<strong>in</strong>g<br />

would help identify <strong>in</strong>tervention opportunities.<br />

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Notes<br />

Authors’ addresses: M.M. Escalada, Department <strong>of</strong> Development Communication, Visayas State<br />

College <strong>of</strong> Agriculture, Baybay, Leyte, Philipp<strong>in</strong>es; K.L. Heong, Entomology and Plant<br />

Pathology Division, <strong>International</strong> Rice Research Institute, Los Bafios, Laguna, Philipp<strong>in</strong>es.<br />

Acknowledgments: The authors would like to thank the Swiss Agency for Development and<br />

Cooperation, through the Rice IPM Network based at the <strong>International</strong> Rice Research<br />

Institute, for fund<strong>in</strong>g most <strong>of</strong> the farmer surveys reported, and all the authors who provided<br />

us with the data, which served as the basis for this synthesis paper.<br />

Citation: Heong KL, Escalada MM, editors. 1997. <strong>Pest</strong> <strong>management</strong> <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong>.<br />

Manila (Philipp<strong>in</strong>es): <strong>International</strong> Rice Research Institute.<br />

242 Heong and Escalada


Appendix I. A selection <strong>of</strong> local pest <strong>management</strong> terms used by <strong>Asia</strong>n <strong>farmers</strong><br />

and their mean<strong>in</strong>gs.<br />

Language Local terms Mean<strong>in</strong>gs<br />

<strong>Pest</strong>icides<br />

Khmer thnam poul Poisonous chemicals<br />

Ch<strong>in</strong>ese nongyao Farm medic<strong>in</strong>e<br />

Indonesian obat Medic<strong>in</strong>e<br />

Lao san che mi Chemicals<br />

Malaysian ubat Medic<strong>in</strong>e<br />

Myanmar po that say Medic<strong>in</strong>e to kill <strong>in</strong>sects<br />

Philipp<strong>in</strong>es<br />

Cebuano medis<strong>in</strong>a Medic<strong>in</strong>e<br />

llocano agas Medic<strong>in</strong>e<br />

Tagalog kemikal Chemicals<br />

S<strong>in</strong>hala thel Oil or medic<strong>in</strong>e<br />

Tamil poochi marundhu Medic<strong>in</strong>e to kill pests<br />

Thai ya Chemicals for protection from<br />

and eradication <strong>of</strong> crop pests<br />

(<strong>in</strong>clud<strong>in</strong>g <strong>in</strong>sects and diseases)<br />

Vietnamese thuoc tru sau Medic<strong>in</strong>e to kill worms<br />

Insecticides<br />

Khmer<br />

Ch<strong>in</strong>ese<br />

H<strong>in</strong>di<br />

Indonesian<br />

Lao<br />

Malaysian<br />

Myanmar<br />

Philipp<strong>in</strong>es<br />

Cebuano<br />

llocano<br />

Tagalog<br />

S<strong>in</strong>hala<br />

Tamil<br />

Thai<br />

Vietnamese<br />

thnam poul<br />

shachongyao<br />

keet nashi dawa<br />

obat<br />

yaka maeng mai<br />

ubat<br />

po that say<br />

medis<strong>in</strong>a<br />

agas ti igges<br />

pamatay kulisap<br />

mehi thel<br />

poochi marundhu<br />

ya kha malaeng<br />

thuoc tru sau<br />

Poisonous chemicals<br />

Medic<strong>in</strong>e to kill worms<br />

Medic<strong>in</strong>e to kill <strong>in</strong>sects<br />

Medic<strong>in</strong>e<br />

Medic<strong>in</strong>e to kill <strong>in</strong>sects<br />

Medic<strong>in</strong>e<br />

Medic<strong>in</strong>e to kill <strong>in</strong>sects<br />

Medic<strong>in</strong>e<br />

Medic<strong>in</strong>e to kill worms<br />

Insect killer<br />

Medic<strong>in</strong>e to kill <strong>in</strong>sects<br />

Medic<strong>in</strong>e to kill <strong>in</strong>sects<br />

Medic<strong>in</strong>e to kill <strong>in</strong>sects<br />

Medic<strong>in</strong>e to kill worms<br />

Fungicides<br />

Khmer thnam samlab phaset Chemical for diseases<br />

Ch<strong>in</strong>ese zhib<strong>in</strong>gyao Medic<strong>in</strong>e for treat<strong>in</strong>g disease<br />

H<strong>in</strong>di kawak nashi dawa Medic<strong>in</strong>e to kill fungi<br />

A comparative analysis <strong>of</strong> pest <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong> 243


Appendix I cont<strong>in</strong>ued.<br />

Language Local terms Mean<strong>in</strong>gs<br />

Indonesian<br />

Lao<br />

Malaysian<br />

Myanmar<br />

Philipp<strong>in</strong>es<br />

Cebuano<br />

llocano<br />

Tagalog<br />

S<strong>in</strong>hala<br />

Tamil<br />

Thai<br />

Vietnamese<br />

obat<br />

yaka phahad<br />

ubat<br />

mho that say<br />

medis<strong>in</strong>a<br />

agas ti sakit<br />

pampuksa ng sakit<br />

thel<br />

poonchala marundu<br />

ya roke<br />

thuoc tru benh<br />

Medic<strong>in</strong>e<br />

Medic<strong>in</strong>e aga<strong>in</strong>st diseases<br />

Medic<strong>in</strong>e<br />

Medic<strong>in</strong>e to kill fungi<br />

Medic<strong>in</strong>e<br />

Medic<strong>in</strong>e for diseases<br />

Disease killer<br />

Oil or medic<strong>in</strong>e<br />

Medic<strong>in</strong>e aga<strong>in</strong>st diseases<br />

Medic<strong>in</strong>e aga<strong>in</strong>st diseases<br />

Medic<strong>in</strong>e aga<strong>in</strong>st diseases<br />

Herbicides<br />

Khmer<br />

Ch<strong>in</strong>ese<br />

H<strong>in</strong>di<br />

Indonesian<br />

Lao<br />

Malaysian<br />

Myanmar<br />

Philipp<strong>in</strong>es<br />

Cebuano<br />

llocano<br />

Tagalog<br />

S<strong>in</strong>hala<br />

Tamil<br />

Thai<br />

Vietnamese<br />

thnam smao<br />

chucaoji<br />

kharpatwar nashi<br />

obat rumput<br />

yakayab<br />

ubat numpai<br />

pac<strong>in</strong>g that say<br />

medis<strong>in</strong>a<br />

medis<strong>in</strong>a<br />

pamatay damo<br />

walnasaka<br />

kalai kolli<br />

ya kha yah<br />

thuoc tru co<br />

Chemicals for grasses<br />

Material to remove grasses<br />

Medic<strong>in</strong>e to kill weeds<br />

Medic<strong>in</strong>e for grasses<br />

Medic<strong>in</strong>e to kill grasses<br />

Medic<strong>in</strong>e for grasses<br />

Medic<strong>in</strong>e to kill weeds<br />

Medic<strong>in</strong>e<br />

Medic<strong>in</strong>e for grasses<br />

Medic<strong>in</strong>e for grasses<br />

Grass killer<br />

Weed killer<br />

Medic<strong>in</strong>e to kill grasses<br />

Medic<strong>in</strong>e to kill grasses<br />

Crop protection/plant protection<br />

Khmer<br />

H<strong>in</strong>di phasal surakshya Crop protection<br />

Indonesian perl<strong>in</strong>dugan tanaman Crop protection<br />

Lao pongkane maeng mai <strong>Pest</strong> control<br />

Malaysian<br />

perl<strong>in</strong>dungan tanaman Crop security<br />

Myanmar A p<strong>in</strong> poe mhar kar Plant protection from all pests<br />

kaw yei<br />

244 Heong and Escalada


Appendix I cont<strong>in</strong>ued.<br />

Language Local terms Mean<strong>in</strong>gs<br />

Philipp<strong>in</strong>es<br />

Cebuano<br />

Tagalog<br />

S<strong>in</strong>hala<br />

Tamil<br />

Thai<br />

Vietnamese<br />

pagpanalipod sa tanum<br />

peladi sanrakshana<br />

kubkum peed<br />

bare muamang<br />

Plant protection<br />

Plant security<br />

Crop protection<br />

Crop protection<br />

<strong>Pest</strong> control<br />

Khmer<br />

Ch<strong>in</strong>ese<br />

H<strong>in</strong>di<br />

Indonesian<br />

Lao<br />

Malaysian<br />

Philipp<strong>in</strong>es<br />

Cebuano<br />

llocano<br />

Tagalog<br />

S<strong>in</strong>hala<br />

Tamil<br />

Thai<br />

Vietnamese<br />

zhichong<br />

niyantran<br />

pemberantasan hama<br />

ponkane maeng mai<br />

kawal<br />

pagsumpo sa dangan<br />

krumi nasaka<br />

kha malang<br />

tru<br />

Treat for worms<br />

Control<br />

Suppress <strong>in</strong>sects<br />

Control<br />

Stop pests<br />

Kill <strong>in</strong>sects<br />

Kill <strong>in</strong>sects<br />

Kill <strong>in</strong>sects<br />

A comparative analysis <strong>of</strong> pest <strong>management</strong> practices <strong>of</strong> <strong>rice</strong> <strong>farmers</strong> <strong>in</strong> <strong>Asia</strong> 245

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