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Trends in Biosciences Volume 5 Number 3 October, <strong>2012</strong><br />

Trends<br />

in<br />

Biosciences<br />

A Quarterly International Journal<br />

Print : ISSN 0974-8<br />

Online : ISSN 0976-2485<br />

NAAS Rating : 2.7<br />

Volume 5 Number 3 October, <strong>2012</strong><br />

Online version available at<br />

www.trendsinbiosciencesjournal.com<br />

Dheerpura Society for Advancement of Science<br />

and Rural Development


Print : ISSN 0974-8<br />

Online : ISSN 0976-2485<br />

NAAS Rating : 2.7<br />

Trends<br />

in<br />

Biosciences<br />

A Quarterly International Journal<br />

Volume 5 Number 3 October, <strong>2012</strong><br />

Online version available at<br />

www.trendsinbiosciencesjournal.com<br />

Dheerpura Society for Advancement of Science<br />

and Rural Development<br />

Branch Office : Kanpur (U.P.) 208 018, India


International Advisory Board<br />

Trends in Biosciences<br />

A Quaterly International Scientific Journal<br />

www.trendsinbiosciencesjournal.com<br />

Dr. A. Coomans, Ex-Professor, State University of Ghent, Belgium<br />

Dr. Randy Gaugler, Director, Centre for Vector Biology, Rutgers University, USA<br />

Dr. S.B. Sharma, Director, Plant Security, South Perth, Australia<br />

Dr. Zahoor Ahmad, Professor, Jubail Industrial College, Saudi Arabia<br />

Advisory Board<br />

Dr. G.N. Qazi, Vice Chancellor, Jamia Hamdard University, New Delhi<br />

Dr. G.C. Mishra, Ex-Director National Centre for Cell Science, Pune<br />

Dr. I. Ahmad, Ex-Director, Department of Science & Technology, New Delhi<br />

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Editorial Board<br />

Editor in Chief : Dr. S.S. Ali, Emeritus Scientist, Indian Institute of Pulses Research (IIPR), Kanpur<br />

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Dr. B.B. Singh, Assistant Director General Oilseed & Pulses, ICAR, New Delhi<br />

Dr. Absar Ahmad, Senior Scientist, National Chemical Laboratory, Pune<br />

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Dr. Raman Kapoor, Head, Dept. of Biotechnology, Indian Sugarcane Research Institute, Lucknow<br />

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Dr. Sanjeev Gupta, Coordinator, MULLaRP, IIPR, Kanpur<br />

Dr. Naimuddin, Sr. Scientist (Plant Pathology), IIPR, Kanpur<br />

Dr. Rashid Pervez, Sr. Scientist, Indian Institute of Spices Research, Khozicod, Kerala<br />

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Trends in Biosciences<br />

Volume 5 Number 3 October, <strong>2012</strong><br />

CONTENTS<br />

M<strong>IN</strong>I REVIEW<br />

1. Sustainable Crop Production Using Natural Resources 161<br />

Priyanka Bhareti and R.K. Panwar<br />

2. Mechanized Harvesting of Cereal Crops - An Overview of the Problems and Factors Affecting 163<br />

H. G. Ashoka and G. M. Prashantha<br />

RESEARCH PAPERS<br />

3. Record of the Genus Homolobus Foerster (Hymenoptera: Braconidae), with Description of a New Species 166<br />

from Saudi Arabia<br />

Hamid A. Ghrmah<br />

4. High Frequency Plant Regeneration through In Vitro Cormel Formation using In Vitro Root as 168<br />

Explant of Gladiolus sp.<br />

Arvind Arya and Sandeep Kumar<br />

5. Establishing Callus Formation of Swarna and IR 64 and Sub-culturing of Callus and Monitoring the Stages 171<br />

of Regeneration<br />

Kshitij Kumar and K.N. Singh<br />

6. In Vitro Regeneration of Banana Variety Grand Naine (G 9) 176<br />

Manju Rai, Pallavi Mittal, Amandeep Kaur, Gurpreet Kaur, Isha Gaur and Charandeep Singh<br />

7. A Rapid and Simplex Methodology for Development of Platform Bioprocess Technology for Manufacturing 180<br />

of Recombinant Therapeutic Proteins in Serum Free Medium at Small Scale<br />

Praveen Gupta<br />

8. Inheritance of Resistance to Yellow Mosaic Virus in Moth Bean 184<br />

L. N. Yogeesh, R. Madhusudhan, B.A. Ravi and S. Gangaprasad<br />

9. Efficacy of IPM Modules against Tomato Leaf Miner, Liriomyza trifolii (Burgess) 188<br />

Wagh S.S. and Patil P.D.<br />

10. Association of ABO Blood Groups with Lipid Profile and the Level of Oxidative Stress in Hypertensive Patients 191<br />

Shalini Kapoor, Rajesh Kumar and Neeraj Arora<br />

11. Effect of Feeding Mixed Leaves of Different Mulberry Varieties on Economic Traits of Silk Worm Bombyx mori L. 196<br />

G.B. Durande, R.S. Gade, R.N. Jagtap and D.S. Tayade<br />

12. Ecofriendly Approach for the Management of Shoot and Fruit Borer, Earias vittella (Fab.) on Okra 199<br />

in Allahabad (UP)<br />

K.P. Tulankar, A.D. Gonde, R.K. Wargantiwar, A. Kumar and P.S. Burange<br />

13. Diversity and Community Structure of Phytonematodes Associated with Guava in and Around Aligarh, 202<br />

Uttar Pradesh, India<br />

Rizwan Ali Ansari and Tabreiz Ahmad Khan


14. Anti Fungicidal Activity of Secretion from Scent Glands of Heteropteran Bugs 205<br />

Ch. Srinivasulu, V. Karunakar, S.M. Reddy and C. Janaiah<br />

15. Effect of Different Concentrations of SA on the Morphological and Agronomical Characteristics of Wheat 208<br />

(Triticum aestivum L. em. Thell.)<br />

Jyotsna Subha, S. Marker, A. Krupakar and Atul Tripathi<br />

16. Seroprevalence of Brucellosis in Cattle and Bufallo in Some Districts of South Bengal 212<br />

Prabir Kumar Karmakar, Bikash Kanti Biswas, Sourav Chandra and Mrs. R. Das<br />

17. Production of Cellulase and Bioethanol from Lignocellulosic Materials using Aspergillus niger and 214<br />

Sacchromyces cerevisiae<br />

Akhilesh Bind, Budh Prakash Kanoujia, Nabeel Ahmad, Sama. Masih and Abhishek Sharan<br />

18. Lipid Peroxidation as Biomarker for Evaluating the Level of Toxicity in Nostoc muscorum under Multiple Stress 218<br />

Khan Uzma Aftab, Rajesh Chaturvedi and Iffat Zareen Ahmad<br />

19. Isolation and Identification of Algae from Dhemaji District of Assam, India 220<br />

Jyoti Prasad Lahan, Rituparna Kalita, Sudipta Sankar Bora, Archana Deka, Robin Ch. Boro<br />

and Madhumita Barooah<br />

20. A Study on Impact of Watershed Development Programme in Uttar Pradesh 222<br />

Pushpendra Saroj, Basvaprabhu Jirli and Vinod Kumar<br />

21. Combining Ability Analysis for Yield and its Components in Indian Mustard (Brassica juncea L. Czern and Coss) 225<br />

Kanhaiya Lal, Ram Krishna, Ranjeet, Hasmat Ali and Rama Kant<br />

22. A Key to the Indian Species of Schizoprymnus Foerster (Hymenoptera: Braconidae: Brachistinae) with 231<br />

Description of a New Species<br />

Mohammad Shamim<br />

23. Effect of Organic and Inorganic Sources of Nitrogen on N, P, K and S Content of Rice Grain at Harvest 234<br />

and Straw at Different Stages of Rice (Oryza sativa) Crop Growth<br />

Debiprasad Dash and Hrusikesh Patro<br />

24. Incidence of Pod Borer, Helicoverpa armigera Hub. and Their Management Through Newer 240<br />

Insecticides in Chickpea<br />

Jeewesh Kumar, D. C. Singh and A. P. Singh<br />

25. Efficacy of Some Triazole and Strobilurin Fungicides against Rust Disease of Field Peas 244<br />

R S Bal and A Kumar<br />

SHORT COMMUNICATIONS<br />

26. Pseudomonas aeruginosa: of Course I am an Arsenic Eater 246<br />

Poonam Gusain, Rajesh Kumar and Vir Singh<br />

Subscription Order Form<br />

Instructions to the Authors


Trends in Biosciences 5 (3): 161-162, <strong>2012</strong><br />

M<strong>IN</strong>I REVIEW<br />

Sustainable Crop Production Using Natural Resources<br />

PRIYANKA BHARETI* AND R.K. PANWAR<br />

Department of Genetics and Plant Breeding, GBPUA&T Pantnagar, US Nagar, Uttarakhand 263 145<br />

e-mail: bhareti.priyanka9@gmail.com<br />

ABSTRACT<br />

Sustainable crop production using natural resources increase<br />

agricultural production and productivity by utilizing ecological<br />

and biological integrity of natural resources. It includes a<br />

various diverse approaches like hybridization and selection of<br />

intervarietal and interspecific species and different landraces<br />

and varieties that are well suited to the climatic conditions of<br />

the farm: mixed farming and cultural practices to enhance the<br />

biological and economic productivity and stability of the land;<br />

proper management of the soil to enhance and protect soil<br />

structure, soil texture, soil micro fauna and quality: growing<br />

of legume crops for soil nitrogen fixation; recycling crop waste<br />

and livestock. Sustainable crop production is a method of<br />

cultivation using principles of ecology and the study of<br />

relationships between organisms and their environment. It is<br />

an integrated system of crops and livestock production practices<br />

which is having a site-specific application which gives the long<br />

term benefits for our future needs. It depends on replenishing<br />

the soil while minimizing the use of non-renewable resources.<br />

Natural resources are an important source of nutrients and<br />

high yielding crop production. Balanced use of natural resources<br />

increased nutrient availability, nutrient and water use<br />

efficiency, improves soil fertility, enhances crop production and<br />

productivity, generate farmers income and create a beneficial<br />

interaction between crop and their surrounding environmental<br />

conditions. The chemical fertilizers should be used judiciously<br />

and proper utilization of natural resources along with chemical<br />

fertilizers for increasing demand of food, enhancing crop<br />

production and soil productivity in a sustainable way, all these<br />

efforts would lead to desired awareness and as a result proper<br />

utilization of natural resource would become a cause of a boom<br />

in agriculture sector.<br />

Key words<br />

sustainable, soil nitrogen fixation, livestock, natural<br />

resources, soil, productivity<br />

The World Commission on Environment and<br />

Development (Brundtland Report, 1987) defined sustainability<br />

as “ensuring that development meets the needs of the present<br />

without compromising the ability of future generations to meet<br />

their own needs”. This can be added the need to utilize the<br />

natural resources as biosafety to feed the world population.<br />

The concept of sustainable agriculture has come up because<br />

yields from modern farming technique reaching a plateau and<br />

the environmental problems due to excessive use of chemicals<br />

and fertilizers residue in food chain. Sustainable agriculture is<br />

that form of farming which produces sufficient food to meet<br />

the needs of the present generations without eroding the<br />

Dr. R.K. Panwar is a Professor of Genetics<br />

and Plant Breeding at G. B. Pant University<br />

of Agriculture and Technology Pantnagar.<br />

He has two decades experience of teaching,<br />

research, extension and guiding students.<br />

His research specialization is on Pulse crops<br />

including both kharif and rabi seasons.<br />

e-mail:panwarrk@rediffmail.com<br />

Priyanka Bhareti is currently associated<br />

with G. B. Pant University of Agriculture<br />

and Technology Pantnagar as a research<br />

scholar in Genetics and Plant Breeding. She<br />

has actively participated in many<br />

conferences and workshops. Presently she<br />

is working on morphological and molecular characterization<br />

of some Vigna species.<br />

ecological assets and productivity of life supporting systems<br />

of future generations. Natural farming is an excellent illustration<br />

of sustainable agriculture. It is also known as ecological<br />

farming/eco-farming or Organic farming or Permaculture. It is<br />

called eco-farming because ecological balance is given<br />

importance and organic farming because organic matter is the<br />

main source for nutrient management.<br />

An increment in agricultural production and productivity<br />

under normal environmental conditions is a challenge with<br />

increasing population and climate change. It is very important<br />

for ensuring security of food, reducing poverty, conserving<br />

and utilizing the vast natural resources to fulfill the demand of<br />

whole world’s population and future generations. In the<br />

process of attaining the higher level of crop production,<br />

emphasis should be laid on natural resources. Short term<br />

increase in crop yields from modern farming techniques in<br />

most of the countries and environmental degradation due to<br />

excess use of pesticides, insecticides, herbicides and chemical<br />

fertilizers, becoming a matter of concern. So the need of<br />

sustainable crop production using natural resources is<br />

increasingly being felt, across the world. In this way the<br />

recommendation of the Atlanta Conference on “Organic<br />

Farming” have a catalyst in creating interest in the organic<br />

agricultural practices all over the world (Dahama, 1997).


162 Trends in Biosciences 5 (3), <strong>2012</strong><br />

There are three types of reserves for natural resources<br />

can be identified (Reijnders, 1999, Chapman, and Roberts,<br />

1983). First one are continuous resources like wind and<br />

sunlight, which can not be reduced in size by their utilization,<br />

second are renewable resources like wood and crops, which<br />

we can harvest, but not at the very fast rate than their rate of<br />

replenishment and last is non-renewable resources like fuels,<br />

fossils and minerals, developed by a very slow geological<br />

processes. Agro-biodiversity, fertile soil, clean water can also<br />

be considered as non-renewable resources, which requires<br />

certain period for their recovery.<br />

Sustainable crop production using natural resources<br />

encourage the use of manures, crop rotation and minimal<br />

tillage. Landraces, hybridization practices involving<br />

interspecific, intervarietal, intergeneric crosses can also<br />

restores resources and contributing in various quality traits,<br />

insect-pest and disease resistance. It also involves agroforestry,<br />

multi-level cultivation and integrated animal<br />

husbandry. It discourages the use of synthetically produced<br />

agro-products for standing against biotic and abiotic stress.<br />

Sustainability refers the characteristics of a process that can<br />

be maintained in long term and sustainable use of the agroeco<br />

system denotes a system without impairing its capacity<br />

for renewal or regeneration. The excessive accumulation of<br />

chemicals and dissolve nutrients in the soil like nitrogen and<br />

phosphorous leads to increased algal biomass and eventually<br />

an anaerobic condition may prevail. This may leads to a serious<br />

loss of marine life and major reduction in real estate value of<br />

surrounding areas. The adequate N:P ratio in water around<br />

20:1 and the algal growth will increased when the ratio goes<br />

around 7:1 (Asmed, 1993).<br />

The continuous losses of nitrogen from the atmosphere<br />

due to dinitrification contribute into “green house gases” and<br />

increasing the breakage of ozone layer. Nitrogen losses can<br />

be high in heavily fertilized soil and intensively cultivated<br />

land, whether the fertilizer is from organic or inorganic (Aluned,<br />

1993). Excessive biotic and abiotic interferences have caused<br />

considerable degradation of our natural resources. Various<br />

types of chemicals like insecticide, pesticide and herbicides<br />

are extensively used to control these calamities. Most of the<br />

chemicals are chlorinated, non-biodegradable and leaves<br />

residues; which are hazardous to the environment, livestock’s<br />

and human beings. Even small quantity of the residues intake<br />

daily along with food can lead to high body fat (Dhaliwal and<br />

Singh, 1992), this may lead to increase the need for sustainable<br />

crop production.<br />

Adoption of early maturing varieties with tolerance to<br />

biotic and abiotic stresses can enable farmers to stand against<br />

draught, salinity, damage and insect-pest and still produce a<br />

crop to generate farmer’s income. Adequate management of<br />

soil with a high production of humus gives necessary benefits<br />

with respect to soil erosion, soil water retention capacity and<br />

micro and macro fauna in the soil. The integration of livestock<br />

with crops provides organic matter for soil microorganism’s<br />

as a source of energy to enhance soil fertility and nutrients<br />

for the crop. Cultivation of multi-purpose nitrogen-fixation<br />

trees with cash crops as in “Alley farming” system is also<br />

very useful and attractive to the farmers if some of the foliage<br />

can be utilized to give added value to livestock (Atta-Krah,<br />

1991).<br />

Green manuring and inter-cropping of leguminous crops<br />

is also very important to control the weeds and also for<br />

reducing the leaching of nutrients and reducing the soil erosion<br />

losses. It will increased soil organic matter and soil nitrogen<br />

as well as other essential nutrients. Mulching by using<br />

manures spreaders may also useful to control weeds.<br />

Sustainability of natural resources is under serious threat<br />

due to discriminate cutting of trees, conversion of forest land<br />

into agriculture, shifting cultivation, exploitation of fragile and<br />

marginal lands, faulty management practices and reduction in<br />

frequency of fallowing and excessive use of chemicals. The<br />

problem is further compounded with over-exploitation of sweet<br />

groundwater aquifers, ingress of sea water in the coastal<br />

ecosystem, floods and draughts. Thus the sustainability in<br />

crop production in which livestock play important role can<br />

also give solution to the domestic energy crisis, the promotion<br />

of multipurpose crops and trees, and the recycling of livestock<br />

excreta will provide the domestic fuels and also useful to<br />

control soil erosion and a source of fertilizer.<br />

LITERATURE CITED<br />

Asmed, S. 1993. Agriculture-Fertilizer Interference in Asia. Issue of<br />

Growth and Sustainability, Oxford and IBH Publishers, New Delhi,<br />

India.<br />

Atta-Krah, A. N. 1991. Fodder trees and shrubs in tropical Africa:<br />

importance, availability and patterns of utilization. In: Integration<br />

of livestock with crops in response to increasing population pressure<br />

on available resources (eds. T R Preston, M Rosales and H Osorio).<br />

CTA: Ede, Netherlands.<br />

Chapman, P.F. and Roberts, F. 1983. Metal resources and energy.<br />

Butterworths Monographs in Materials.<br />

Dahama, A.K. 1997. Organic Farming for Sustainable Agriculture, Ashila<br />

Offset Printers, Daruagung, New Delhi, India.<br />

Reijnders, L. 1999. A normative strategy for sustainable resource choice<br />

and recycling. Resources Conservation and Recycling, 28: 121-<br />

133.<br />

Recieved on 22-02-<strong>2012</strong> Accepted on 01-09-<strong>2012</strong>


Trends in Biosciences 5 (3): 163-165, <strong>2012</strong><br />

Mechanized Harvesting of Cereal Crops - An Overview of the Problems and Factors<br />

Affecting<br />

H. G. ASHOKA* AND G. M. PRASHANTHA<br />

Division of Agricultural Engineering, University of Agricultural sciences, G.K.V.K., Bangalore-560065<br />

(Karnataka), India<br />

*e-mail: agrilengineeruasb@gmail.com<br />

ABSTRACT<br />

Harvesting is one of the most labor intensive operations in the<br />

production of crops. Development of mechanical harvesters /<br />

reapers operated by self mounted engines, power tillers, tractors<br />

and combined harvesters for harvesting crops like paddy, wheat<br />

and other cereal crops are gaining the popularity. The efficiency<br />

of harvesting operation depends on the shear stress and the<br />

modulus of elasticity of the crop. The factors affecting the<br />

shearing principles are the moisture content, height and the<br />

diameters of cutting stem. The shearing stress of wheat stalk<br />

given the direct relation to wheat stems size and the moisture<br />

content, but has inverse relation with the cutting height of<br />

stalk because of a reduction in stalk diameter. The bending<br />

stress and modulus of elasticity has got inverse relation with<br />

moisture content (Esehaghbeygi et al., 2009). However the<br />

findings with the cotton crop contradicting with the shearing<br />

principle of wheat. The shearing stress and moisture content<br />

of cotton stalks leads to increasing the cutting efficiency, which<br />

means decreasing the shear stress (Metwalli et al. 1995). Also<br />

the reapers developed for harvesting crops like wheat and paddy<br />

could not become popular for harvesting finger millet and other<br />

rain fed crops because of varied crop materials. Several<br />

commercial reapers developed has got vide range of field<br />

capacities for wheat and paddy crops.<br />

Key words<br />

Harvesting, reapers, shear stress, modulus of<br />

elasticity, efficiency, field capacity<br />

Harvesting is one of the most labor intensive operations<br />

in the production of crops. Traditionally crops are harvested<br />

manually using locally made sickle which is time and labor<br />

consuming operation and both are scares during peak<br />

harvesting season. The harvesting period is very short and<br />

delay in harvesting reduces both quality and quantity of grain.<br />

Further, due to the rapid industrialization and large scale<br />

migration to urban areas, labor is becoming increasingly<br />

scarce and also proving costly. This labor shortage during<br />

harvesting resulted in delayed harvest and consequent field<br />

grain losses. Labor requirement for harvesting of cereal crops<br />

with traditional manual harvesting varies greatly depending<br />

on the crops, crop conditions, type of tools and the quality of<br />

man power used. Mechanization of harvesting is an<br />

alternative solution will also result in lesser cost of operation.<br />

Where farmers have adopted combines for harvesting,<br />

alternative straw handling and disposal technology may have<br />

to be developed and promoted, as burning of straw is creating<br />

environmental pollution and farmers are losing valuable animal<br />

Dr. H. G. Ashoka, Agril. Engineer (Res.),<br />

Division of Agril. Engineering, UAS,<br />

GKVK, Bangalore – 560065. He obtained<br />

post graduation in Agricultural<br />

Engineering from University of<br />

Agricultural Sciences Bangalore and Ph.D<br />

from Kuvempu University, During his<br />

university career, he has been working at<br />

different places in different capacity as a scientist and a<br />

university Post Graduate Teacher since 1990. He has<br />

undergone International Post Graduate training on<br />

protected agriculture at the Hebrew University Jerusalem,<br />

Israel, as well visited McGill University, Canada. He has<br />

been involved in several research projects on<br />

Mechanization and developed improved hand operated<br />

Maize Sheller and Seed Cotton Baler, he is closely working<br />

with the State Agricultural and Watershed Development<br />

Department since 2003. At present working as Agricultural<br />

Engineer at the Division of Agricultural Engineering, UAS,<br />

GKVK, Bangalore and involved in evaluation of variety of<br />

Agriculture Machineries. To his credit, he has got few<br />

National and International publications.<br />

feed material (Gyanendra Singh, 2002). The efforts of the<br />

research work in various research organizations in India and<br />

abroad resulted in developing the mechanical harvesters /<br />

reapers operated by self mounted engines, power tillers,<br />

tractors and combined harvesters for harvesting crops like<br />

paddy, wheat and other cereal crops (Pndey and<br />

Devanani,1987 and Mohammad Raza Alizadeh et al., 2007).<br />

Based on the power operated paddy reaper designed by IRRI,<br />

Philippines, power tiller operated reapers were developed and<br />

evaluated for harvesting wheat (Garg et al. 1984). However<br />

the reapers developed for harvesting crops like wheat and<br />

paddy could not become popular for harvesting finger millet<br />

and other rain fed crops because of various reasons. One of<br />

the main reasons attributed to the blade design and metallurgy.<br />

Cutting blades used for harvesting soft and non fibrous stem<br />

portion of the crops like wheat and paddy were not very<br />

effective in harvesting crops like finger millet, since the stem<br />

portion of the finger millet crop is hard and fibrous. Further<br />

the height, ear-head size and the size of the stem portion of<br />

wheat and paddy crop were small as compared to the height,<br />

ear-head size and the size of stem portion of finger millet. The


164 Trends in Biosciences 5 (3), <strong>2012</strong><br />

cutting blades fitted in the existing reapers used for harvesting<br />

wheat and paddy becomes wear and tear and requires very<br />

frequent replacement when they are used for harvesting crop<br />

like finger millet, jawar, bajra etc. due to hard and fibrous stem<br />

and needs frequent replacement. This necessitates the design<br />

and development of suitable blades material which can<br />

effectively used for harvesting hard stem cereal crops.<br />

HARVEST<strong>IN</strong>G<br />

Harvesting of crops is an important field operation and<br />

it is one of the most labor intensive operations in the<br />

production of crops. Mechanized harvesting is done under<br />

varied situation by several commercial reapers and their<br />

capacity varies greatly. The studies on cutting of the crop<br />

stalk with traditional sickles revealed that it requires 64-128<br />

man-h / ha (Fleurdeliz et al.1989). Nadeem (1983) has reported<br />

that the paddy harvesting by manual method require about 25<br />

% of the total labor requirement of the crop. Depending upon<br />

the crop yield it demands 120 to 250 man-hr/ha for cutting,<br />

bundling and on-field stacking of rice field by using traditional<br />

sickle. Feasibility study conducted by Manjunath et al.,(2009)<br />

during the period 2002 to 2005 showed the reduced cost of<br />

cultivation in paddy through mechanized harvesting at the<br />

Agricultural Research Station, as well in the farmer’s field of<br />

Gangavathi in the state of Karnataka. The studies revealed<br />

that the vertical conveyor power reaper (KAMCO Model KR<br />

120) was having the field capacity of 0.3 ha/hr with the field<br />

efficiency of 73 % at an average operating speed of 3.2 kilometer<br />

per hour. Gajendra Singh et al. (1988) reported that the locally<br />

manufactured and commercially available tractor front<br />

mounted reapers can harvest 0.284 ha / h and saves 129 manh/ha<br />

compared to traditional manual harvesting with sickle<br />

for wheat crop. It was also observed that the average field<br />

capacity of 0.4 ha/h with 4 per cent grain loss while harvesting<br />

by using reapers. Garg et al. (1984) reported the labour input<br />

for mechanical reaping was about 5 man-h / ha compared to 84<br />

man-h / ha in manual harvesting of wheat crop. Devani and<br />

Pandey (1985) obtained the wheat crop field capacity of<br />

0.269 ha/h with 1.6 m wide reaper, while for 2.08 m wide unit it<br />

was observed to be 0.337 ha/h. Also they observed the total<br />

harvesting losses in the range of 4 to 6 % of grain yield when<br />

grain moisture content was 7 to 11 %. The studies on cutting<br />

of the crop stalk with traditional sickles revealed that it requires<br />

64-128 man-h / ha (Fleurdeliz et al.1989). Kumar et al. (2006)<br />

reported the harvesting of finger millet with sickles requiring<br />

about 150-200 man-h / ha.<br />

APPLICATION OF SHEAR PR<strong>IN</strong>CIPLE<br />

Shearing stress of wheat stalk was measured for four<br />

moisture content levels (15, 25, 35 and 45 %(w.b), three cutting<br />

heights (100, 200 and 300 mm), two types of cutting knives<br />

(smooth and serrated edge) with three blades oblique angle<br />

(0, 15 and 30 deg.). The results showed that the shearing<br />

stress of wheat stems decreased as the moisture content<br />

decreased. The shearing force of stems decreased as the<br />

cutting height of stalk increased because of a reduction in<br />

stalk diameter. Reduced in shearing stress was observed by<br />

using smooth edge knife because of less friction than serrated<br />

one. The blade oblique angle of 30 degree showed the least<br />

shearing stress. The average of shearing stress varied between<br />

3.25 and 3.86 Mpa. It was reported that the increased bending<br />

stress and modulus of elasticity with the decreased moisture<br />

content and an increased cutting height of stem. The average<br />

of bending stress observed to be between 17.74 - 26.77 Mpa<br />

and modulus of elasticity varied between 3.13 - 3.75 Gpa<br />

(Esehaghbeygi et al., 2009).<br />

FACTORS AFFECT<strong>IN</strong>G<br />

According to 1nce et.al.(2005) the value of shearing<br />

stress at low moisture content was approximately 19 % lower<br />

than at high moisture contents. This result was also reported<br />

for wheat straw, sunflower stalk and alfalfa stem (Dogherty et<br />

al. 1995, Crook and Ennos, 1994). The average shearing<br />

stresses were found to be 3.25, 3.57, 3.69 and 3.86 MPa for<br />

moisture contents 15%, 25%, 35% and 45% respectively. The<br />

moisture content had a significant effect on the shearing stress<br />

at 1% probability level. The studies of Nazari, et al.,(2008) are<br />

in line with the findings of 1nce et.al.(2005). They observed<br />

the decreased in shearing stress with increase in cutting height<br />

from ground level. Increasing the cutting height from 100 to<br />

300 mm, resulted in reduced shearing stress by 13%. Also<br />

they observed an increasing the stem height, resulted in<br />

decreased stem diameter in the range of 5.1 to 7.5 mm.<br />

The moisture content had a significant effect on bending<br />

stress (Annoussamy et al. [2000]). Bending stress decreased<br />

with increasing moisture content. Also it was reported that<br />

the moisture content and height had significant effects on<br />

bending stress and the value of bending stress at low moisture<br />

content was approximately 1.5 times higher than at high<br />

moisture content. However, the reports on moisture content<br />

and cutting efficiency for cotton crop are contradicting the<br />

findings of wheat (Metwalli et al., 1995). Increasing moisture<br />

content of cotton stalks leads to increasing the cutting<br />

efficiency, which means decreasing the power requirement.<br />

Hoseinzadeh et al.(2009), conducted experiment on three<br />

varieties of wheat and knife bevel angles, four levels of<br />

moisture content and three shearing speeds of pendulum to<br />

determine their effects on the shearing energy of wheat straw.<br />

Results showed that the effects of variety, knife bevel angle,<br />

moisture content and shearing speed on shearing energy were<br />

significant at 1%. Shearing energy decreased with decreasing<br />

moisture content and bevel angle and with increasing shearing<br />

speed. Minimum shearing energy was obtained at knife bevel<br />

angles of 25° and 30°, while its mean value of 35° showed a<br />

significant difference at 5%.<br />

Hadidi (1984) stated that, the height of crop stubbles<br />

increasing as stalk moisture content increased and decreased


ASHOKA AND PRASHANTHA, Mechanized Harvesting of Cereal Crops - An Overview of the Problems 165<br />

with increasing of knife velocity. He added that the percentage<br />

of wheat and rice grin losses increasing as the machine forward<br />

speed increased. Increasing cutter bar speed leads to decrease<br />

in percentage of grain loss. Also, increasing forward speed<br />

leads to increase in number of uncut stalks.<br />

Habib, et al., 2002 reported the parameters affecting<br />

cutting process are related to the cutting tool, machine<br />

specifications and plant material properties. Further, they have<br />

observed the cutting energy consumed in harvesting process<br />

is much lower than the energy consumed in crushing process<br />

due to the effect of moisture content. Further, Habib, et al.,<br />

2001 reported that increasing plant diameter needs higher knife<br />

velocity for performing the free cutting operation. Whereas,<br />

increasing mass of plant stalks need low critical speed. Further,<br />

they have found that the critical knife velocity affected by<br />

both height of knife from ground and the plant overall length.<br />

Also, moisture content of plants materials affecting on the<br />

critical knife velocity throwing by the cutting force, where<br />

cutting force variation with the moisture content.<br />

Labor is becoming increasingly scarce and also proving<br />

costly and the mechanized harvesting is the need of the hour.<br />

The efficiency of harvesting operation mainly depends on<br />

the shear resistance offered by the crop for harvesting. For<br />

the application of shear principles for harvesting the crop, the<br />

factors influencing are, moisture content, cutting heights,<br />

cutting knives and the blades oblique angle. The observation<br />

of shearing stress on wheat crop revealed the decreased in<br />

shear stress with the decrease in moisture content. The<br />

reduction of shearing force was observed due to increased in<br />

cutting height of stalk because of a reduced stalk diameter.<br />

Also the reduced in shearing stress was observed by using<br />

smooth edge knife, because of less friction than serrated one.<br />

The blade oblique angle of 30 degree showed the least<br />

shearing stress. Bending stress and modulus of elasticity<br />

increased as the moisture content decreased with increased<br />

in cutting height of the stem. However, the findings are not<br />

true for the entire range of field crops. An increasing moisture<br />

content of cotton stalks leads to increasing the cutting<br />

efficiency, which means decreasing the power requirement.<br />

Similarly, use of reapers for mechanized harvesting of rain fed<br />

crop like Finger millet reported with frequent break down and<br />

repairs due to the hardy fibrous stem nature. There are no<br />

reports available for mechanized harvesting of crop like Jowar,<br />

Bajra etc. Hence there is need to improve the metallurgy of<br />

blade materials used for harvesting different crops.<br />

LITERARURE CITED<br />

1nce, A., urluay, S. U., Güzel, E. and Özcan, M.T. 2005. Bending and<br />

shearing characteristics of sunflower stalk residue. Biosyst. Eng.,<br />

92(2): 175-181.<br />

Annoussamy, M., Richard, G., Recous, S. and Guerif, J. 2000. Change in<br />

mechanical properties of wheat straw due to decomposition and<br />

moisture. Appl. Eng. Agric., 16(6): 657-664.<br />

Anonymous, 2000. Survey of Indian Agriculture, Hindu publication.<br />

Crook, M. J. and Ennos, A. R. 1994. Stem and root characteristics<br />

associated with lodging resistance in poor winter wheat<br />

cultivars. J. Agric. Sci., 126: 167-174.<br />

Devani R.S. and Pandey M. M. 1985. Design, development and<br />

evaluation of vertical conveyor reaper windower. AMA, 15(a):41-<br />

52.<br />

Esehaghbeygi, A., Hoseinzadeh, B., Khazaei, M. and Masoumi. A.<br />

2009. Bending and Shearing Properties of Wheat Stem of Alvand<br />

Variety. World Applied Sciences Journal, 6(8):1028-1032.<br />

Fleurdeliz, S., Luarez, Bart Duff, Amande Te and Robert E. Stickney,<br />

1989. Socio economic and technical performance of mechanical<br />

reapers in the Philippines. Agril. Mechanization in ASIA, AFRICA<br />

and LAT<strong>IN</strong> ANERICA, 20(1):49-54.<br />

Gajendra, Singh, Amjad, P., Chaudhary and David Gee- Clough, 1988.<br />

Performance evaluation of mechanical reapers in Pakistan. Agril.<br />

Mechanization in ASIA, AFRICA and LAT<strong>IN</strong> ANERICA, 19(3):47-<br />

52.<br />

Garg, I. K., Sharma, V. K. and Santokh Sing, 1984. Agril. Mechanization<br />

in ASIA, AFRICA and LAT<strong>IN</strong> ANERICA, 15(3):40-44.<br />

Gyanendra Singh, 2002. Equipment to ensure timeliness. The Hindu<br />

Survey of Indianagriculture, 195-198.<br />

Habib, R. A., Azzam, B.S., Nasr, G. M. and Khattab, A.A., 2001. A<br />

theorreticall analysis of the free cutting force of plant materials. 1 st<br />

International Conference for Manufacturing A g r i c u l t u r a l<br />

Equipment and Machinery-9 th Conference of Misr Society of Agric.<br />

Engg. 9-11 Sept.<br />

Habib, R.A., Azzam, B.S., Nasr, G.M. and Khattab, A.A., 2002. The<br />

parameters affecting the cutting process performance of agricultural<br />

plants. Misr J. of Agric. Engg., 19(2):361-372.<br />

Hadidi Y.M., 1984. A study on mechanical moving. M.Sc. Thesis Agril.<br />

Engg., Mansoura University, Egypt.<br />

Hoseinzadeh, B., Esehaghbeygi, A. and Raghami, N. 2009. Effect of<br />

Moisture Content, Bevel Angle and Cutting Speed on Shearing<br />

Energy of Three Wheat Varieties. World Applied<br />

Sciences Jounral, 7(9):1120-1123.<br />

Kumar, K.G., Chowdegowda, M. and Jayamala, G. B. 2006. Comparative<br />

performance of mechanical reapers for harvesting rainfed and<br />

irrigated Fingermillet. Mysore J.agric.Science., 40(3): 351-355.<br />

Kumar, K.G., Chowdegowda, M. and Jayamala, G.B. 2006. Comparative<br />

performance of mechanical reapers for harvesting rainfed and<br />

irrigated Fingermillet. Mysore J. Agric. Science, 40(3): 351-355.<br />

Manjunath, M. V., Mastan Reddy, B. G., Shashidhar, S. D. and Joshi, R.<br />

2009. Field performance evaluation of vertical conveyor paddy<br />

reaper. Karnataka J. Agric. Sci., 22(1):140-142.<br />

Metwalli, M. M., Helmy, M. A., Gomaa, S. M. and Khateeb, H. A. 1995.<br />

Evaluation of different mechanical methods of cutting and chopping<br />

cotton stalks, Misr J. of Agric. Engg., 12(1):205-217.<br />

Mohammad Raza Alizadeh, Iraj Bagheri and Mir Hussein Payman 2007.<br />

Evaluation of a rice reaper used for rapeseed harvesting. American-<br />

Eurasian J. Agric. & Environ. Sci., 2(4):388-394.<br />

Nadeem Amjad 1983. Field performance evaluation of rice reaper. In:<br />

Agricultural mechanization in Asia, Africa and Latin America,<br />

14:35-40.<br />

Nazari, Galedar, M., Jafari, A., Mohtasebi, S. S., Tabatabaeefar, A.,<br />

Sharifi, A., O’Dogherty, M. J., Rafiee, S. and Richard, G. 2008.<br />

Effects of moisture content and level in the crop on the engineering<br />

properties of alfalfa stems. Biosyst. Eng., 101:199-208.<br />

O’Dogherty, M.J., Hubert, J. A., Dyson, J. and Marshall, C. J., 1995. A<br />

study of the physical and mechanical properties of wheat straw. J.<br />

Agric. Eng. Res., 62:133-142.<br />

Pndey, M. M. and Devanani, R.S. 1987. Analytical determination of<br />

an optimum mechanical harvesting pattern for high field efficiency<br />

and low cost of operation. J. Agric, 36:261-274.<br />

Recieved on 09-07-<strong>2012</strong> Accepted on 08-08-<strong>2012</strong>


Trends in Biosciences 5 (3): 166-167, <strong>2012</strong><br />

Record of the Genus Homolobus Foerster (Hymenoptera: Braconidae), with<br />

Description of A New Species from Saudi Arabia<br />

HAMID A. GHRMAH<br />

Department of Biology, King Khalid University, P.O. Box-9004, ABHA-61413. Kingdom of Saudi Arabia<br />

e-mail: hamidkku@gmail.com<br />

ABSTRACT<br />

Homolobus (Apatia) arabicus sp. nov., (Hym., Braconidae) is<br />

described from Saudi Arabia. Morphological diagnostic<br />

characters of the new species are figured, and they are compared<br />

with those of the related species. The genus Homolobus Foerster<br />

is reported for the first time from Saudi Arabia.<br />

Key words<br />

Homolobus, Braconidae, new species, Saudi Arabia.<br />

The genus Homolobus Foerster belongs to subfamily<br />

Homolobinae of Braconidae. Members of the genus<br />

Homolobus are koinobiont endoparasitoids of the Lepidoptera<br />

larvae, mainly in Geometridae and Noctuidae (van Achterberg,<br />

1979; Shaw and Huddleston, 1991; Shaw, 2006). The genus<br />

has been revised by van Achterberg, 1979, however, it is yet<br />

to be recorded from arabian region. The genus contains 45<br />

species and spread over four subgenra viz., Apatia Enderlein,<br />

1920; Chartolobus van Achterberg, 1979; Oulophus van<br />

Achterberg, 1979; Phylacter Reinhard, 1863 (Yu., et al., 2005).<br />

In this paper one new species viz., Homolobus (Apatia)<br />

arabicus, sp.nov, is described and illustrated with the help of<br />

photographs.<br />

MATERIALS AND METHODS<br />

Specimens were collected by sweeping net and malaise<br />

traps from different regions of Khamis Mushait, Saudi Arabia.<br />

The samplings were conducted between 2011 in the Asir<br />

province. The collected specimens were killed with ethyl<br />

acetate and mounted on triangular labels and were examined<br />

with a stereoscopic binocular microscope Nikon SMZ1200.<br />

Classification, nomenclature and distributional data of<br />

Braconidae suggested by Yu, et al., 2006 have been followed.<br />

The terminology for morphology follows that used by<br />

Achterberg, 1993.<br />

Abbreviations used in the text are: AOL= Anterior ocellar<br />

line (distance between the inner edges of an anterior ocellus<br />

and lateral ocellus); POL= Posterior ocellar line (distance<br />

between the inner edges of lateral ocelli); OOL= Ocello-ocular<br />

line (distance from the outer edge of a lateral ocellus to the<br />

compound eye); OD= Ocellus diameter; F= Flagellomere.<br />

The types of new species are deposited in Department<br />

of Zoology, King Khalid University, Abha, KSA.<br />

RESULTS AND DISCUSSION<br />

Description<br />

Homolobus (Apatia) arabicus sp. nov.<br />

Female: 6.8 mm, of fore wing 6.5 mm.<br />

Colour: Yellow-brownish; stemmaticum black; antenna brown,<br />

with outer side of scapus light brown; veins of fore wing<br />

largely dark brown, of hind wing only veins SR and 2-M,<br />

remainder of veins yellowish-brown<br />

Head: Antennal segments 48, length of third segment 1.2 times<br />

fourth segment, length of third, fourth and penultimate<br />

segments 3.5, 2.8 and 1.8 times their width, respectively; length<br />

of maxillary palp 1.5 times height of head; length of fourth<br />

segment of labial palp 2.3times length of third segment; in<br />

dorsal view length of eye 2.5 times temple; OOL:diameter of<br />

ocellus:POL = 2:8:3; frons smooth and shiny; vertex sparsley<br />

punctulate; face rather flat, sparsely and finely punctulate;<br />

clypeus sparsely punctate with long setae; length of malar<br />

space 0.45 times basal width of mandible.<br />

Mesosoma: Length of mesosoma 1.3 times its height; side of<br />

pronotum largely smooth, with some crenulae medio-anteriorly<br />

and few crenulate posteriorly; epicnemial area smooth;<br />

mesopleuron punctate-rugose dorsally; precoxal sulcus<br />

distinctly punctate-rugose, and remainder punctulate;<br />

metapleural flange smooth; notauli crenulate, narrow anteriorly<br />

and widened posteriorly; mesoscutum largely smooth, only<br />

near notauli punctate; surface of propodeum smooth anteriorly<br />

and remainder reticulate-rugose.<br />

Wings: Fore wing: SRI distinctly curved; r:3-SR:SRl = 7:9:33;<br />

cu-a distinctly inclivous, slightly curved basaad apically; 2-<br />

SR:3-SR:r-m = 7:11:5; r-m distinctly curved basad;. Hind wing:<br />

r present, dividing marginal cell into a long basal part (about<br />

1.3 times length of apical part) and a much shorter apical part;<br />

SC+R1 evenly curved.<br />

Legs: Hind claws without small sub-apical tooth, spiny setose;<br />

inner claw of hind tarsus equal to its outer claw; length of<br />

femur, tibia and basitarsus of hind leg 6.1, 9.6, and 9.4 times<br />

their width, respectively; length of hind tibial spurs 0.40 and<br />

0.70 times hind basitarsus<br />

Metasoma: Length of first tergite 3.2 times its apical width,<br />

hind wing vein r present; its surface distinctly rugose, its


HAMID, Record of the Genus Homolobus Foerster (Hymenoptera: Braconidae) 167<br />

Homolobus (Apatia) arabicus sp. nov., (holotype, female).<br />

Fig. 1. Female fore wing<br />

dorsal carinae absent; second tergite punctate medio-basally,<br />

its remainder largely smooth; length of ovipositor sheath 0.06<br />

times hind basitarsus.<br />

Male: Unknown.<br />

Distribution: Saudi Arabia: Asir region, Khamis Mushait.<br />

Host: Unknown<br />

Material examined. Holotype: Female (on card), 9.iii.2011,<br />

Khamis Mushyat, Asir region, Saudi Arabia, coll. Hamed,<br />

(Malaise trap). Paratypes: 4 females (on card) with same data<br />

as holotype. All the material is housed in Museum collection,<br />

Department of Biology, King Khalid University, Abha). (All<br />

the type material presently in the personal collection of author<br />

and will be deposited in King Saud university museum, Riadh,<br />

K.S.A.).<br />

Etymology: The species name is derived from its type locality.<br />

The new species Homolobus (apatia) arabicus sp. nov.<br />

resembles with H. (A.)elagabalus (Nixon, 1938). However, it<br />

differs from H.(A.) elagabalus in having length of malar space<br />

0.45 times basal width of mandible; basal part of vein SR of<br />

hind wing 1.2 times longer than second part of vein; veins SR<br />

and 2-M of hind wing similarly yellowish as veins of basal<br />

part of wing; first tergite finely sculptured.<br />

Fig. 2. Female habitus<br />

ACKNOWLEDGEMENT<br />

The authors are indebted to Dr. Sulaiman Al-ruman<br />

(Head, department of Biology, King Khalid University, Abha)<br />

for providing necessory research facilities.<br />

LITERATURE CITED<br />

Achterberg, C.V. 1979. A revision of the subfamily Zelinae auct.<br />

(Hymenoptera, Braconidae). Tijdschrift voor Entomologie, 122:<br />

241-479.<br />

Achterberg, C.V. 1993. Illustrated key to the subfamilies of the<br />

Braconidae (Hymenoptera: Ichneumonoidea). Zoologische<br />

Verhandelingen Leiden, 288: 1-189.<br />

Shaw, M.R., Huddleston, T. 1991. Classification and biology of braconid<br />

wasps. Handbooks for the identification of British insects, 7: 1-<br />

126.<br />

Shaw, S.R. 2006. Chapter 12.2, Familia Braconidae: 487-525. In:<br />

Hymenoptera de la Región Neotropical. Memoirs of the American<br />

Entomological Institute, (eds. Hanson, P.E. and I.D. Gauld), 77: 1-<br />

994.<br />

Yu, D.S., Achterberg, C.V. and Horstmann, K. 2006. World<br />

Ichneumonoidea 2005. Taxonomy, biology, morphology and<br />

distribution [Braconidae]. Taxapad 2006 (Scientific names for<br />

information management); Interactive electronical catalogue on<br />

DVD/CD-ROM. Vancouver.<br />

Recieved on 10-08-<strong>2012</strong> Accepted on 30-08-<strong>2012</strong>


Trends in Biosciences 5 (3): 168-170, <strong>2012</strong><br />

High Frequency Plant Regeneration Through In Vitro Cormel Formation Using In<br />

Vitro Root as Explant of Gladiolus sp.<br />

ARV<strong>IN</strong>D ARYA 1* AND SANDEEP KUMAR 2<br />

1<br />

Department of Biotechnology, Meerut Institute of Engineering and Technology, Meerut. U.P.<br />

2<br />

National Institute of Engineering and Technology, NIMS University, Jaipur<br />

*e-mail: arvindarya@hotmail.com<br />

ABSTRACT<br />

The direct organogenesis was derived from roots of in vitro<br />

plantlets as an explant in Gladiolus sp. (Iridaceae), a highly<br />

valuable ornamental variety. Direct shoot buds were initiated<br />

at a higher frequency from in vitro roots of Gladiolus sp. used<br />

as explant. Different basal medium viz., MS, B5 and 2iP were<br />

tested and found MS medium best for initiation of shoots.<br />

Highest number of shoots regenerated in 1x MS with 2.0 mg/l<br />

BAP. The shoots produced roots in MS with 1.0 mg/l IBA and<br />

6% sucrose. After five weeks, rooted plantlets were transferred<br />

for initiation of cormels. The protocol enabled to harvest more<br />

than 50,000 cormels (cormlets) within 150 days starting from a<br />

single in vitro root explant.<br />

Key words<br />

ABBREVIATIONS<br />

Cormel, Gladiolus, Ornamental, Regeneration. Root<br />

explant<br />

(2iP: 6-ã-ã-dimethylaminopurine, B5: Gamborg’s B5<br />

Medium, BAP: 6-benzylaminopurine, IAA: Indole acetic acid,<br />

IBA: Indole-3-butyric acid, Kn: N-(2-furanylmethyl)-1Hpuring-6-amine<br />

(kinetin), MS: Murashige and Skoog Medium,<br />

NAA: á-Naphthaleneacetic acid, SD: Standard Deviation)<br />

The propagation of Gladiolus is through seeds, corm<br />

formation or by cormel differentiation. Although, seeds are an<br />

effective means of Gladiolus propagation but seed-raised<br />

plants may not produce true-to-type population (Kumar, et<br />

al., 2011).<br />

Micropropagation offer promises of mass multiplication<br />

of bulbous and cormous plants(Novak and Petru, 1981;<br />

Takayama and Misawa, 1982; Takayama and Misawa, 1983). It<br />

also provide the materials free from viruses and other<br />

pathogens. Few reports are available pertaining to in vitro<br />

propagation of Gladiolus from axillary shoot formation (Logan<br />

and Zettler, 1984), through in vitro corm production (Bruyn<br />

and Ferreira, 1992) or from callus culture (Simonsen and<br />

Hildebrandt, 1971). However, in Gladiolus there is a clear scope<br />

for further refinement of in vitro culture methodology to<br />

acquire a higher number of shoots to complement traditional<br />

nursery methods (Kumar, et al., 2011).<br />

The present study was an attempt to produce multiple<br />

shoots by using roots of in vitro plantlets as explants source<br />

since propagation by corm and cormel formation may transmit<br />

several diseases thus causing a heavy loss. This report might<br />

be helpful for improvement of Gladiolus by mutation breeding,<br />

somaclonal variation and genetic engineering.<br />

MATERIALS AND METHODS<br />

The explant employed were roots of Gladiolus sp. of<br />

about 8-10 mm in length preserved from previous in vitro<br />

rooted plantlets culture and maintained in growth room (details<br />

not given). Roots of Gladiolus sp. were transferred to 25x100<br />

mm tubes containing 20 ml in MS media with (1-3 mg/l)<br />

concentrations of different cytokinins viz. BAP, Kn and 2iP.<br />

The pH of the medium was adjusted to 5.8 before autoclaving<br />

at 121 ºC for 15 min. Cultures were illuminated by cool-white<br />

florescent light (50 µMol m -2 .s -1 per 16h photoperiod) at 25 ±<br />

1ºC.<br />

Different cytokinins viz., BAP, Kn and 2iP were used to<br />

see their effect on shoot induction and proliferation. Basal<br />

MS medium solidified by agar was supplemented with different<br />

concentrations of cytokinins and root explant was aseptically<br />

inoculated on them.<br />

Different strength of basal medium viz., MS (1x, ½ x and<br />

¼ x) and B5 (1x and 1/2x) along with 2.0 mg/l BAP were<br />

prepared.<br />

Healthy in vitro shoots were transferred to jam bottles<br />

containing 30 ml of basal liquid MS media supplemented with<br />

different auxins. IAA, IBA and á-NAA alone as well as in<br />

combinations were added in basal liquid MS medium. The<br />

healthy rooted plantlets were transferred on low concentration<br />

of auxins, after five weeks initiation of cormlets.<br />

RESULTS AND DISCUSSION<br />

Four weeks after culture, the root segments with initiated<br />

shoot buds were transferred to MS media (data not given).<br />

The percentage of shoot formation was affected by the<br />

concentration of various cytokinins on MS media. Among<br />

the various cytokinins tested, BAP induced the maximum<br />

response in root explants of in vitro regenerated plantlets<br />

(Fig. 4). The shoot multiplication and shoot length on BAP<br />

(2.0 mg/l) showed better response (Fig. 4) than other<br />

concentration of cytokinins. Kn and 2iP failed to induce<br />

organogenesis and formation of shoot and produced groups<br />

of shoots of varying lengths depending upon the<br />

concentration of the cytokinins added to the medium.


ARYA AND KUMAR, High Frequency Plant Regeneration through In Vitro Cormel Formation using In Vitro Root 169<br />

Fig. 1.<br />

Fig. 2.<br />

Fig. 3.<br />

Fig. 1<br />

Fig. 2<br />

Fig. 3<br />

Effect of different concentrations of various cytokinins<br />

on shoot multiplication of Galdiolus spp. (MS medium<br />

after 8 weeks)<br />

Effect of different basal media containing 2.0 mg/l BAP<br />

on in vitro s hoot multiplic ation from in vitro<br />

regenerated root explants of Galdiolus spp. (After 6<br />

weeks)<br />

Root induction and cormlets formation in various<br />

permutations of auxins on MS med ia (20 sho ots<br />

pretreatment – 6 week old culture)<br />

rooting (84%), the maximum number of roots and root length<br />

(25.38 and 8.82 cm, respectively) were observed in 1 mg/l IBA.<br />

(Fig. 3, Fig. 7). IBA was superior to IAA and á-NAA for<br />

induction of root within seven days. The in vitro regenerated<br />

micro-corms were stored in a cool and dry place (Fig. 8).<br />

Rapid in vitro propagation techniques have been<br />

reported for some Gladiolus cultivars (Dantu and Bhojwani,<br />

1995; Ruffoni et al., 2008). Although, the in vitro multiplication<br />

of Gladiolus has been achieved by using axillary buds (Begum<br />

and Haddiuzaman, 1995), shoot tip and inflorescence axes<br />

(Ziv and Lilien-Kipnis, 2000) as explants but root was not<br />

used as explant for in vitro regeneration and micro-corm<br />

formation in Gladiolus spp. This is the first report describing<br />

the roots of Gladiolus sp. as explant source and its effect on<br />

micropropagation. In the present work, while searching for<br />

optimal conditions for in vitro corm development, we<br />

determined how the plant growth regulators, the types of basal<br />

media and their strength affect the in vitro regeneration of<br />

plants.<br />

Cytokinins especially BAP produced overall best<br />

response viz., induction and multiplication of shoot. Earlier<br />

reports also evident the participation of cytokinins in the in<br />

vitro stimulation of shoot induction and tuberization (Koda<br />

and Okazawa, 1983). However, there is apparent ambiguity<br />

about the role of cytokinins in the regulation of Gladiolus<br />

corm formation. Contrary to our findings kinetin is reported to<br />

induces cormel differentiation on excised stolon tips (Ginzburg,<br />

1973) and also that BA adversely affects corm formation at<br />

the shoot base (Steinitz and Lilien-Kipnis, 1989).<br />

In present study, it was found that high concentration<br />

of BAP suppress the shoot bud induction and further shoot<br />

growth. The shoot length was found to be significantly higher<br />

in MS medium with 1.0 mg/l 2iP compared to other cytokinins.<br />

In order to improve the shoot multiplication rate from in<br />

vitro root explant, they were cultured on various basal media<br />

and showed the maximum percentage of multiplication rate on<br />

full strength MS medium containing 2 mg/l BAP (Fig. 2, Figs,<br />

5 and 6). Even though the number of shoots was lower in B5<br />

½ strength medium when compared to other media. It was<br />

observed that the shoot induced on B5 medium exhibited scale<br />

like leaves. However, it has also been found that the quality of<br />

shoots was inferior as the regenerated shoots showed<br />

yellowish green leaves in B5 medium.<br />

Rooting and formation of cormlets from multiple shoots<br />

of Gladiolus sp. were achieved on different concentrations<br />

of auxins on liquid MS media. The maximum percentage of<br />

Fig. 4. In vitro root explants grown in MS medium with 1.0<br />

mg/l BAP (4-5 weeks old)<br />

Fig. 5. Initiation of organogenesis from in vitro rooted explants<br />

on 1X MS medium with 2.0 mg/l BAP<br />

Fig. 6. Enhanced shoot development during second sub-culture<br />

on MS medium containing with 2.0 mg/l BAP<br />

Fig. 7. Induction of corms with rooted shoots on 1.0 mg/l IBA<br />

with agar medium<br />

Fig. 8. In vitro regenerated micro-corms of Gladiolus


170 Trends in Biosciences 5 (3), <strong>2012</strong><br />

In present research the full strength MS medium was<br />

found best over other strengths of MS and B5 medium for<br />

further multiplication of shoots. This result is in line with many<br />

findings in which MS medium is reported best for shoot<br />

induction and multiplication (Bruyn and Ferreira, 1992; Kumar,<br />

et al., 1999). Rooting of shoots was achieved on auxins<br />

supplemented liquid MS medium. The transfer of in vitro<br />

produced plantlets and cormlets to soil and the direct transfer<br />

of in vitro plantlets to non-aseptic conditions resulted in a<br />

very low percentage of re-established plants. To overcome<br />

this problem the plantlets were thus left to dry in culture<br />

bottles, with the subsequent production of small, dormant<br />

cormlets. These cormlets had to be given low temperature<br />

treatment to break their dormancy before further planting.<br />

ACKNOWLEDGEMENT<br />

We express our heartily gratitude to Chairman, MIET,<br />

Meerut for providing funds and lab facility for the study.<br />

LITERATURE CITED<br />

Begum, S. and Haddiuzaman, S. 1995. In vitro rapid shoot proliferation<br />

and corm development in Gladiolus grandiflorus cv. Redbrand.<br />

Plant Tissue Cult., 5: 7-12.<br />

Bruyn, M.H. and Ferreira, D.I. 1992. In vitro corm production of<br />

Gladiolus dalenii and G. tristis. Plant cell, tissue and organ culture<br />

31: 123-128.<br />

Ginzburg, C. 1973. Hormonal regulation of cormel dormancy in<br />

Gladiolus grandiflorus. Journal of Experimental Botany, 24: 558-<br />

566.<br />

Koda, Y. and Okazawa, Y. 1983. Influences of environmental, hormonal<br />

and nutritional factors on potato tuberization in vitro. Japanese<br />

Journal of Crop Science, 52: 582-591.<br />

Kumar, A., Sood, A., Palni, L.M.S. and Gupta, A.K. 1999. In vitro<br />

propagation of Gladiolus hybridus Hort.: Synergistic effect of heat<br />

shock and sucrose on morphogenesis. Plant cell, tissue and organ<br />

culture, 57: 105-112.<br />

Kumar, A., Palni, L.M. and Sood, A. 2011. Factors affecting in vitro<br />

formation of cormlets in Gladiolus hybridus Hort. and their field<br />

performance. Acta Physiologiae Plantarum, 33: 509-515.<br />

Logan, A.E. and Zettler, F.W. 1984. Rapid in vitro propagation of<br />

virus-indexed Gladioli. In: VI International Symposium on Virus<br />

Diseases of Ornamental Plants 164, pp.169-180.<br />

Novak, F.J. and Petru, E.A. 1981. Tissue culture propagation of Lilium<br />

hybrids. Scientia Horticulturae, 14: 191-199.<br />

Ruffoni, B., Pamato, M., Giovannini, A. and Brea, M. 2008. Gladiolus<br />

micropropagation in temporary immersion system. Propagation<br />

of Ornamental Plants, 8: 102-104.<br />

Simonsen, J. and Hildebrandt, A.C. 1971. In vitro growth and<br />

differentiation of Gladiolus plants from callus cultures. Canadian<br />

Journal of Botany, 49: 1817-1819.<br />

Steinitz, B. and Lilien-Kipnis, H. 1989. Control of precocious gladiolus<br />

corm and cormel formation in tissue culture. Journal of plant<br />

physiology, 135: 495-500.<br />

Takatsu, Y., Miyamoto, M., Inoue, E., Yamada, T., Manabe, T., Kasumi,<br />

M., Hayashi, M., Sakuma, F., Marubashi, W. and Niwa, M. 2001.<br />

Interspecific hybridization among wild Gladiolus species of southern<br />

Africa based on randomly amplified polymorphic DNA markers.<br />

Scientia horticulturae, 91: 339-348.<br />

Takayama, S. and Misawa, M. 1982. Regulation of organ formation by<br />

cytokinin and auxin in Lilium bulbscales grown in vitro. Plant and<br />

Cell Physiology, 23: 67-74.<br />

Ziv, M. and Lilien-Kipnis, H. 2000. Bud regeneration from inflorescence<br />

explants for rapid propagation of geophytes in vitro. Plant Cell<br />

Reports, 19: 845-850.<br />

Recieved on 20-07-<strong>2012</strong> Accepted on 28-08-<strong>2012</strong>


Trends in Biosciences 5 (3): 171-175, <strong>2012</strong><br />

Establishing Callus Formation of Swarna and IR 64 and Sub-culturing of Callus<br />

and Monitoring the Stages of Regeneration<br />

KSHITIJ KUMAR AND K.N S<strong>IN</strong>GH<br />

Department of Plant Molecular Biology & Genetic Engineering<br />

Narendra Deva University of Agriculture & Technology Narendra Nagar (Kumarganj), Faizabad (U.P)<br />

e-mail: patelbiotech@gmail.com<br />

ABSTRACT<br />

The present regeneration from the target tissue (explant) of<br />

the genotype (s) is concerned. The present study was conducted<br />

with an objective to standardize efficient regeneration system<br />

for IR64 and Swarna at N.D.U.A.T (U.P.) India. MS medium<br />

supplemented with 2,4-D, (2mg/l) kinetin, (0.4mg/l). L. Proline,<br />

(500mg/L) Casein Hydrolysate, (300mg/L) agar-agar (0.8%w/v)<br />

was found best callus medium for Swarna. MS medium<br />

supplemented with 2,4-D, (2mg/L) L-Proline (500mg/L) maltose<br />

(30g/L) agar agar (0.8%w/v) was found to be best callus medium<br />

for IR64.<br />

Key words<br />

indica rice, IR64, regeneration, rice, 2, 4-D, Swarna<br />

Rice is stable food for more than 70% of the population<br />

(Prasad and Pandey, 2004). It is the source of livelihood for<br />

millions rural households and is the backbone of Indian<br />

agriculture. Swarna is mainly grown in Andhra Pradesh and it<br />

has a rainfed shallow land ecosystem (Singh and Singh, 2003).<br />

Swarna is indica type of rice variety released in 1982. Its<br />

parentage is vasistha x mahsuri with 155 days of maturity<br />

duration. Its grain type is medium slender. Special features of<br />

this variety are : good grain quality and higher yield under<br />

low nitrogen level.<br />

IR 64 is also indica type variety with long slender grain<br />

type. It has adaptability to irrigated ecosystem. It is of 130<br />

days maturity duration. Its parentage are IR 5657-33-2-1 X IR<br />

2061-465-1-5-5. Its special feature is : fine grain quality, high<br />

harvest index, resistance to blast and bacterial leaf blight. IR<br />

64 is released by IRRI and it grown across the world (Singh<br />

and Singh, 2003) but both the rice verities are susceptible to<br />

many abiotic and biotic factors.<br />

MATERIALS AND METHODS<br />

The present study was conducted establish callus<br />

formation of Swarna and IR 64 and Sub-culturing of callus<br />

and monitoring the stages of regeneration at N.D.U.A.T (U.P.)<br />

India for the objectives were to develop efficient cell culture<br />

two popular indica cultivars (IR 64 and Swarna) were<br />

subjected to somatic cell culture.<br />

The explants used for in vitro culture in the present<br />

study were mature seeds of the select rice cultivars. Fresh<br />

seeds obtained from crops raised by sowing the source seeds<br />

were dried well in sunlight and were stored at 4 0 C before use.<br />

The cultures were maintained at 2000 lux light intensity and a<br />

temperature of 25 0 C and 60% RH under 16 hour light and 8<br />

hour dark cycles. Growth regulators (2-4D, BAP) stock<br />

solutions were made with concentration of 10mg/10ml<br />

(Murashige and Skacethog). Ms media was used in the present<br />

study with modification (Murashige and Skoog, 1962) for<br />

callus culture. The basel medium comprised of the stock<br />

solution macronutrients, micronutrients, minornutrients, iron<br />

stock, vitamins and myo-inositol were mixed in known quantity<br />

in doubled distilled water accordance with composition of the<br />

basel medium requirement. Stock solution were stored at 4 0 C<br />

temperature in glass bottle whereas the iron stock solution in<br />

coloured bottle. Maltose was used as a carbohydrate source<br />

which was added and mixed well. Desired growth hormones<br />

were added to the media as per medium composition. For making<br />

one liter of culture media was prepared in 950 ml and pH was<br />

adjusted to 5.6 to 5.8 with 0.1 N HCl or 0.1N NaOH and volume<br />

was made upto 1 liter. After pH adjustment bacteriological<br />

grade agar-agar was added melted and added as per<br />

requirement to the boiling media and constantly stirred. Ten<br />

ml of media was dispensed in each test tube of dimension (250<br />

x150 mm) or transferred to 250 ml/ 500 ml/1lit.conical flask and<br />

plugged with non-absorbent cotton plugs. Media was<br />

autoclaved at a temperature of 121 0 C and at a pressure of 1.01<br />

kg/cm 2 for 20 minutes. Media prepared in conical flask were<br />

later melted and poured into sterile petriplates (25-30 ml per<br />

plate) under aseptic condition. Petriplates test tubes used for<br />

inoculation were sterilized in autoclave at a temperature of<br />

121 0 C and at a pressure of 1.01 kg/cm 2 for 20 minutes and<br />

equipments (like sterile blades and forceps) were presterilized<br />

and placed in glass bead sterilizer and cooled of before<br />

inoculation. Dehisced seeds were washed with sterilized<br />

double distilled water twice. Dehusked seeds were then<br />

soaked in 70% ethanol for 2 minutes. Dehusked seeds were<br />

washed twice with sterilized double distilled water. Dehusked<br />

seeds were surface sterilized using sodium hypochlorite (4%<br />

active chlorine and two drop of tween-20 to the seeds for 15<br />

minutes with continuous shaking. Dehusked seed were<br />

washed with sterilized double distilled water for two to three<br />

times. Dehusked seeds were re-exposed to 0.1% mercuric<br />

choloride and then kept for 5 minutes. The sterilized seeds<br />

were washed well with sterilized double distilled water for 5 to<br />

6 times to remove traces of sterilants. The seeds then


172 Trends in Biosciences 5 (3), <strong>2012</strong><br />

transferred to sterilized filter paper to remove excess moisture<br />

and was then inoculated to respective media and kept in<br />

culture room for in vitro germination.<br />

Mature seeds were dehusked manually prior to surface<br />

sterilization, placed in 70 per cent ethanol for 3 min, followed<br />

by treatment with 0.1 per cent mercuric chloride and a drop of<br />

tween-20 for 10 min with occasional stirring. The seeds were<br />

then rinsed thoroughly 4-5 times with sterile distilled water to<br />

remove any traces of mercuric chloride and were plated onto<br />

respective callus induction medium. The plates were incubated<br />

in the dark at 25±2 0 C. Calli obtained after 21-35 days were<br />

subculture onto fresh medium or used to initiate suspension<br />

culture. The callus was maintained by sub culturing onto the<br />

fresh but the same medium at 2-3 week intervals.<br />

Maltose (as a carbohydrate source) was used in<br />

concentration (30 g/l).media code Ms 9<br />

and Ms 7<br />

the<br />

carbohydrate source was changed from maltose to sucrose<br />

with the concentration (30 g/l). Organic supplements as L-<br />

Proline and Casine hydrolysate were added as described .pH<br />

of media was adjusted between 5.6-5.8 and agar agar of<br />

bacteriological grade was added with concentration with 0.8<br />

% w/v. Volume of the media was made 1 liter with 10 ml in each<br />

test tube and was autoclaved. One seed per test tube was<br />

inoculated for callus induction in dark condition for 21 days.<br />

Per treatment 50 test tubes was inoculated. Compact and<br />

nodular callus developed with in three weeks of culture, which<br />

could be subcultured to the same fresh media in order to<br />

maintain the culture. Callus of both the indica varieties (IR-64<br />

and Swarna) were put on the respective callus media as shown<br />

in (Table 1) for four week.<br />

Concentration of agar-agar and pH range was kept same<br />

as in callus induction media. Regeneration media contained<br />

the same basal media as described including the<br />

corresponding sugar supplements. The growth regulators<br />

supplements however, was changed as shown in Table 2. Agar<br />

agar of bacteriological grade was used at a concentration 0.6<br />

% w/v pH was adjusted to 5.6-5.8 with the help of 0.1N HCl or<br />

0.1N NaOH. Tubes were inoculated with callus and kept in<br />

dark for two weeks and then they were transferred to the light<br />

condition of 16 hours photoperiod and 8 hours dark period<br />

for another three weeks per-treatment 10 test tubes /callus<br />

were inoculated in both indica cultivars.<br />

RESULTS AND DISCUSSION<br />

The reason behind using the mature seed as an explant<br />

was that the explant should be readily available in large<br />

quantity so that the adds of obtaining the desired no. of<br />

regenerated plants can be improved .There had been reports<br />

on plants regeneration from mature embryo derived callus of<br />

japonica varieties (Fujimura, et al., 1985) but indica cultivars<br />

were found to be recalcitrant nature of tissue culture Koetji,<br />

et al., 1989 described callus induction in general, rice, Oryza<br />

sativa L. cultivars belonging to subspecies indica were known<br />

to be less responsive for callus induction as well as<br />

regeneration, however embryogenic callus induction which<br />

was dependent on the interacting between the genotype and<br />

culture condition and regeneration , rather the callus induction<br />

is the limiting factor of the indica rice cultivars. From the<br />

present study, it was clear from interaction between genotype<br />

and composition me not need the nutritional requirements<br />

may vary genotype to genotype. More ever, this differential<br />

requirement was also found to be significantly interaction<br />

between genotype and media as well as phytohormonal<br />

combination (Table 3) and carbohydrate source (Table 5 and<br />

6) as seen from result Swarna has the maximum response of<br />

MS media supplemented with a combination of 2,4-D (2 mg/<br />

l) + kinetin (0.4 mg/l) + L-Proline (500 mg/l) casein hydrolysate<br />

(300 mg/l) resulting in 80% callus formation. While IR64 has<br />

shown good response on MS media supplemented with<br />

combination of 2,4-D (2mg/l) + L-Proline (500 mg/l) + casein<br />

hydrolysate (300 mg/l) with 70% callus formation (Table 6)<br />

callus of both the varities were creamy in colour. Genotypic<br />

difference for culture response in rice were also reported by<br />

several authors (Visarda, et al., 2002) earlier and present result<br />

are in agreement with earlier finding.<br />

The improve somatic cell culture response by addition<br />

of maltose might be due to reduce rate of hydrolysis of<br />

disaccharide to glucose -1 –phosphate as reported by Sopary,<br />

1979, same result was later reported by last and Bretlel, 1990,<br />

Maltose as carbohydrate source in callus induction is superior<br />

to sucrose in callus induction is superior to sucrose in callus<br />

quantity (Zhang, 1995) the present result (Table 5 and 6) are in<br />

agreement of earlier finding. In the present study to organic<br />

supplements were used i.e, L-Proline (500 mg/l) and casein<br />

hydrolysate (300 mg/l) (Sivamani, et al., 1996).<br />

It could be seen from the result that IR64 responded<br />

well on MS BAP (2 mg/l) + NAA (0.8 mg/l) + Kinetin (0.8 mg/<br />

l) with mean number of shoot were as Swarna responded well<br />

as MS + BAP (1.5 mg/l ) + NAA (0.6 kinetin (0.6 mg/l ) with 14<br />

mean number of shoot (Table 9) Incubation of tube in dark<br />

condition is well documented by (Zhang, 1995). The addition<br />

of NAA alone in regeneration media was found to be inhibit<br />

regeneration of rice is well documented (Venkatachalam, et<br />

al., 2000).<br />

Explant source<br />

Mature seeds used as explants. The seeds were procured<br />

from Crop Research Station, Masodha, Faizabad. Main<br />

advantage of using seed as explant is that it is available year<br />

round.<br />

Callus induction<br />

Germination in the both indica cultivars seeds were<br />

noticed from the third day onwards. Swelling of the mesocotyl<br />

and radical was observed after 5-6 days and this was followed<br />

by the induction of callus from the scutellar region on 8-10


KUMAR AND S<strong>IN</strong>GH, Establishing callus formation of Swarna and IR-64 and Sub-culturing of callus and monitoring 173<br />

days. The hypocotyls region was swollen and later<br />

appearance of callus was observed.<br />

Effect of hormones for callus induction in Swarna<br />

MS basal media different combination of 2, 4-D (0.5, 1.0,<br />

1.5, 2.0, 2.5 and 3.0 mg/l), Kinetin (0.2, 0.4 and 0.6 mg/l), L-<br />

proline (500 mg/l) and casine hydrolysate (300 mg/l) were used.<br />

All the combination responded differently. The culture media<br />

MS 1<br />

and MS 2<br />

did not formed callus, but resulted in plumule<br />

and radical formation. All other combinations produced callus.<br />

The percentage of callus was different from one treatment to<br />

another. Callus formed in medium with percentage 25, 54, 40,<br />

35, 45, 64, 80 and 48 in MS 3<br />

, MS 4<br />

, MS 5<br />

, MS 6,<br />

MS 7<br />

, MS 8<br />

, MS 9<br />

and MS 10<br />

were respectively (Table 3). The MS 9<br />

media callusing<br />

percentage was the highest (80%) and was selected as best<br />

callus forming media for Swarna. The callus were yellowish<br />

colour and globular in shaped (Fig. 1).<br />

Effect of hormone on callus induction in IR 64<br />

MS basal media with different concentration of 2, 4-D<br />

(0.5, 1.0, 1.5, 2.0, 2.5 and 3.0 mg/l), Kinetin (0.2, 0.4 and 0.6 mg/<br />

l), L-proline (500 mg/l) and casine hydrolysate (300 mg/l) were<br />

used for callus induction. The media combination MS 1<br />

and<br />

MS 2<br />

did not produce callus but resulted in plumule and radical<br />

formation after 21 days dark incubation. All other combination<br />

used in the present study resulted in callus formation in<br />

different percentage. The medium combination MS 3<br />

, MS 4<br />

, MS 5<br />

,<br />

MS 6,<br />

MS 7<br />

, MS 8<br />

, MS 9<br />

and MS 10<br />

formed callus with percentage<br />

of callus induction was 30, 55, 44, 34, 70, 56, 50 and 40<br />

respectively (Table 5). In MS 7<br />

media callus forming capacity<br />

was highest (70%) and was selected as the most suitable<br />

medium concentration for callus induction in IR 64 (Fig.1).<br />

Comparing callus induction percentage in IR 64 and<br />

Swarna<br />

Comparing callus induction percentage in both indica<br />

cultivar best callus induction media of both the variety were<br />

identified. The seeds were inoculated in respective media and<br />

kept in dark condition for 21 days at a temperature 23 ± 2 0 and<br />

Table 1. Sub culturing media of both the indica varities<br />

S.No. Variety Sub culturing media<br />

1 Swarna MS+2, 4-D (2.0mg/l) + L - Proline (500mg/l)<br />

+Casine hydrolysate (300mg/l+Kinitin(0.4mg/l)<br />

2. IR-64 MS+2, 4-D (2.0mg/l) + L - Proline (500mg/l) +<br />

Casine hydrolysate (300mg/l)<br />

Concentration of agar-agar and pH range was kept same as in callus<br />

induction media<br />

Table 2.<br />

Composition of shoot regeneration media<br />

S.<br />

No.<br />

Medium<br />

code<br />

Basal<br />

media<br />

BAP<br />

(mg/l)<br />

NAA<br />

(mg/l)<br />

Kinitin<br />

(mg/l)<br />

1. MSR 1 MS 0.5 0.2 0.2<br />

2. MSR 2 MS 1.0 0.4 0.4<br />

3. MSR 3 MS 0.5 0.6 0.6<br />

4. MSR 4 MS 2.0 0.8 0.8<br />

5. MSR 5 MS 2.5 1.0 0.8<br />

RH 60%. After expiry of period number of callus produced<br />

were counted. The percentage of callus formation of both<br />

indica cultivar if given in Table 5.<br />

Callus induction percentage of swarna was 80% whereas<br />

is IR 64 it was 70% which was lesser by 10% in IR 64.<br />

Effect of different carbohydrate source on callus by the<br />

indica test genotype<br />

When carbon source replaced maltose in the MS 0<br />

media<br />

with concentration 10 g/l for callus induction in Swarna a<br />

significant decrease in callusing percentage was recorded as<br />

detailed in Table 7.<br />

In Swarna MS 9<br />

media fortified with maltose had higher<br />

percentage of callus induction then MS 9<br />

media fortified with<br />

Sucrose by 32 per cent. Seeds were inoculated in dark<br />

condition for 21 days at a temperature of 23 ± 2 0 C and 60%<br />

RH. Under similar condition of incubation for IR 64 with media<br />

MS 7<br />

fortified with maltose (30g/l) and MS 7<br />

media fortified with<br />

sucrose (30g/l). The result of this is shown in Table 7.<br />

These experiments were not repeated.<br />

Fig. 1. Callus forming media<br />

Table 3. Percentage of callus induction in different<br />

combination in Swarna<br />

Medium Media composition<br />

Percentage<br />

of callus<br />

induction<br />

MS 1 MS +2,4-D (0.5 mg/l) -<br />

MS 2 MS +2,4-D (1.0 mg/l) -<br />

MS 3 MS +2,4-D (1.5 mg/l) 25<br />

MS 4 MS +2,4-D (2.0 mg/l) 54<br />

MS 5 MS +2,4-D (2.5 mg/l) 40<br />

MS 6 MS +2,4-D (3.0mg/l) 35<br />

MS 7 MS +2,4-D (2.0 mg/l) + L-proline (500 mg/l)+ 45<br />

Casine hydrolysate (300 mg/l)<br />

MS 8 MS +2,4-D (2.0 mg/l) + L-proline (500 mg/l) + 64<br />

Casine hydrolysate (300 mg/l)+ Kinetin (0.2 mg/l)<br />

MS 9 MS +2,4-D (2.0 mg/l) + L-proline (500 mg/l)+ 80<br />

Casine hydrolysate (300 mg/l)+ Kinetin (0.4 mg/l)<br />

MS 10 MS +2,4-D (2.0 mg/l) + L-proline (500 mg/l) +<br />

Casine hydrolysate (300 mg/l)+ Kinetin (0.6 mg/l)<br />

48


174 Trends in Biosciences 5 (3), <strong>2012</strong><br />

Different stages of embryo<br />

Different stages of embryo of both the indica cultivars<br />

are shown in Fig. 1. Different stages of embryo were compared<br />

at the intervals of 7, 14, 24, and 30 days. Both the varieties<br />

callus were globular and having knobby any structure. The<br />

callus formed shoots only directly on callus without any<br />

formation of embryo or embryo like structure. In some medium,<br />

callus formed nodular structure without any further<br />

differentiation.<br />

Regeneration<br />

Different media compositions were used for regeneration<br />

in IR 64 and Swarna as shown in (Table 2) callus of both the<br />

indica cultivars were put on the regeneration media and<br />

incubated in dark condition for two weeks and replaced to<br />

16hr light periods for three weeks with temperature 23 ± 2 0 C<br />

and 60% RH. Greening in callus started in third week onward.<br />

In subsequently formation of shoot resulted in fifth weeks.<br />

Effect of hormones used in regeneration of Swarna<br />

A combination of MS basal medium in different<br />

concentration of BAP (0.5, 1.0, 1.5, 2.0 and 2.5 mg/l) along<br />

NAA (0.2, 0.4, 0.6, 0.8 and 1.0 mg/l) and kinetin (0.2, 0.4, 0.6, 0.8<br />

and 1.0 mg/l) was used. None of the media produced shoots<br />

upto two weeks as the culture was maintained in dark. However,<br />

greening at different location observed on third weeks onward<br />

on transfer to illuminated racks. The media MSR 1<br />

did not<br />

responded to regeneration from callus culture and no shoot<br />

formation resulted. All other media resulted in shoot formation.<br />

However, frequency of regeneration differed in different<br />

hormone concentration used with MS basal media. Mean<br />

number of shoots formation was recorded in MSR 2<br />

, MSR 3<br />

,<br />

MSR 4<br />

and MSR 5<br />

with shoots 2, 10, 6 and 8 respectively. The<br />

best regeneration media for swarna is MSR 3<br />

with 10 mean<br />

Table 4.<br />

Percentage of callus induction in different<br />

combinations in IR64<br />

Medium Media composition Percentage of callus<br />

induction<br />

MS 1 MS +2,4-D (0.5 mg/l) -<br />

MS 2 MS +2,4-D (1.0 mg/l) -<br />

MS 3 MS +2,4-D (1.5 mg/l) 30<br />

MS 4 MS +2,4-D (2.0 mg/l) 55<br />

MS 5 MS +2,4-D (2.5 mg/l) 40<br />

MS 6 MS +2,4-D (3.0mg/l) 34<br />

MS 7 MS +2,4-D (2.0 mg/l) + L-proline 70<br />

(500 mg/l)+ Casine hydrolysate (300<br />

mg/l)<br />

MS 8 MS +2,4-D (2.0 mg/l) + L-proline 56<br />

(500 mg/l)+ Casine hydrolysate (300<br />

mg/l)+ Kinetin (0.2 mg/l)<br />

MS 9 MS +2,4-D (2.0 mg/l) + L-proline 50<br />

(500 mg/l)+ Casine hydrolysate (300<br />

mg/l)+ Kinetin (0.4 mg/l)<br />

MS 10 MS +2,4-D (2.0 mg/l) + L-proline<br />

(500 mg/l)+ Casine hydrolysate (300<br />

mg/l)+ Kinetin (0.6 mg/l)<br />

40<br />

numbers of shoots (Fig.1).<br />

Effect of hormone on regeneration of IR 64<br />

A combination of MS basal medium different<br />

concentration of BAP (0.5, 1.0, 1.5, 2.0, and 2.5 mg/lk) along<br />

with NAA (0.2, 0.4, 0.6, 0.8 and 1.0 g/l) and kinetin (0.2, 0.4, 0.6,<br />

0.8 and 1.0 mg/l) was used. None of the media produced shoots<br />

upto weeks as the culture were maintained in dark. However,<br />

greening at different location observed on third weeks onward<br />

on transfer to illuminated racks. The media MSR 1<br />

did not<br />

responded to the regeneration from callus culture and no<br />

shoot formation resulted. The frequency of regeneration was<br />

different in different hormonal combination. The mean number<br />

of shoots in media combination MSR 2<br />

, MSR 3<br />

, MSR 4<br />

and MSR 5<br />

were 1, 2, 6 and 4 respectively. The best regeneration media IR<br />

64 was MSR 4<br />

on the basis of highest number mean shoot<br />

formation (8) (Table 8) (Fig. 1).<br />

Comparing regeneration percentage between IR 64 and<br />

Swarna<br />

For comparing the regeneration percentage both indica<br />

cultivars, media selected was on which maximum number of<br />

regeneration was recorded. Calli of the indica cultivars were<br />

inoculated on respective regeneration media for two weeks<br />

dark condition and were transferred to light condition of 16<br />

hrs light period and 8 hrs dark period with 60% RH and 23 ±<br />

2 0 C temperature for three weeks. Comparison of both indica<br />

cultivars is presented in (Table 9). Fig. 1. Mean number of<br />

shoots regenerated in swarna were 10 whereas in IR were 6,<br />

which was lesser by 4.<br />

Quality of callus induced on mature seeds<br />

Callus obtained by culturing of mature seed explants on<br />

callusing medium could be clearly distinguished into two type<br />

namely, embryogenic and non embryogenic calli. Embryogenic<br />

Table 5.<br />

Table 6.<br />

Comparison of callus induction percentage of both<br />

indica cultivars<br />

S. Variety Media composition<br />

No.<br />

1. Swarna MS +2,4-D (2.0 mg/l) + L-proline<br />

(500 mg/l)+ Casine hydrolysate (300<br />

mg/l)+ Kinetin (0.4 mg/l)<br />

2. IR64 MS +2,4-D (2.0 mg/l) + L-proline<br />

(500 mg/l)+ Casine hydrolysate (300<br />

mg/l)<br />

Percentage of<br />

callus induction<br />

Effect of different carbohydrate source on callus<br />

induction of IR64<br />

Medium Media composition Percentage of callus<br />

induction<br />

1 MS +2,4-D (2.0 mg/l) + L-proline<br />

(500 mg/l)+ Casine hydrolysate (300 75<br />

mg/l)+ Maltose (30g/l)<br />

2 MS +2,4-D (2.0 Mg/L) + L-Proline<br />

(500 Mg/L)+ Casine Hydrolysate<br />

(300 Mg/L) + Sucrose (30g/l)<br />

63<br />

80<br />

70


KUMAR AND S<strong>IN</strong>GH, Establishing callus formation of Swarna and IR-64 and Sub-culturing of callus and monitoring 175<br />

Table 7.<br />

Mean number of shoot induction in Swarna<br />

Medium Media composition<br />

code<br />

MSR 1 MS+ BAP (0.5mg/l) + NAA (0.2<br />

mg/l)+ Kinetin (0.2 mg/l)<br />

MSR 2 MS+ BAP (1.0mg/l) + NAA (0.4<br />

mg/l)+ Kinetin (0.4 mg/l)<br />

MSR 3 MS+ BAP (1.5mg/l) + NAA (0.6<br />

mg/l)+ Kinetin (0.6 mg/l)<br />

MSR 4 MS+ BAP (2.0mg/l) + NAA (0.8<br />

mg/l)+ Kinetin (0.8 mg/l)<br />

MSR 5 MS+ BAP (2.5mg/l) + NAA (1.0<br />

mg/l)+ Kinetin (1.0 mg/l)<br />

Mean number of<br />

shoots formed<br />

-<br />

Table 8. Mean number of shoot induction in IR 64<br />

Medium<br />

code<br />

Media composition<br />

Mean number of<br />

shoots formed<br />

MSR 1 MS+ BAP (0.5mg/l) + NAA (0.2 mg/l)+ -<br />

Kinetin (0.2 mg/l)<br />

MSR 2 MS+ BAP (1.0mg/l) + NAA (0.4 mg/l)+ 1<br />

Kinetin (0.4 mg/l)<br />

MSR 3 MS+ BAP (1.5mg/l) + NAA (0.6 mg/l)+ 2<br />

Kinetin (0.6 mg/l)<br />

MSR 4 MS+ BAP (2.0mg/l) + NAA (0.8 mg/l)+ 6<br />

Kinetin (0.8 mg/l)<br />

MSR 5 MS+ BAP (2.5mg/l) + NAA (1.0 mg/l)+<br />

Kinetin (1.0 mg/l)<br />

4<br />

calli were composed of compact cell with dense cytoplasm<br />

and were darkly stained. In contrast non embryogenic calli<br />

were loosely packed with sparse cytoplasm were lightly<br />

stained. A number of nodulations could be seen on the surface<br />

of 30 days old embryogenic calli of swarna. However, such<br />

protuberances were not associated with IR 64.<br />

Regenerating calli<br />

A weeks after transfer of embryigenic calli onto the<br />

regeneration medium formation of globular embryoid like<br />

structure could be observed in case of IR 64, ten to twelve<br />

days later, development of heart shaped embryoid like<br />

structure could be observed.<br />

In Swarna, MS media supplemented with 2,4-D (2 mg/l)<br />

+Kinetin (0.4 mg/l ) + L-Proline (500 mg /l ) + Casein hydrolysate<br />

300 mg/ l) + Maltose (30 g/l ) + Agar agar (0.8% w/v ) was<br />

found best callus induction media with 80% callus induction<br />

percentage.<br />

IR 64 produced best callus in Ms media supplemented<br />

2<br />

10<br />

6<br />

8<br />

Table 9.<br />

Comparison of mean under of shoots in both indica<br />

cultivars<br />

S.No. Media composition<br />

Mean number of<br />

shoots formed<br />

1. MS+ BAP (1.5mg/l) + NAA (0.6 mg/l)+ 10<br />

Kinetin (0.6 mg/l)<br />

2. MS+ BAP (2.0mg/l) + NAA (0.8mg/l)+<br />

Kinetin (0.8 mg/l)<br />

6<br />

with 2, 4-D (2 mg/l) + L-proline (500 mg/l) + Casein hydrolysate<br />

(300 mg/l) +Maltose (30 g/l ) + Agar–agar (0.8 % w/v ) was<br />

found best callus induction media with 70 % callus induction<br />

percentage.<br />

The shoot induction media was different for both the<br />

indica cultivars IR 64. produced maximum number of healthy<br />

green shoot in MS media containing BAP (2.0 mg/l ) + NAA<br />

(0.8 mg/l ) + Kinetin (0.8 mg/ l) + maltose (30 g/l) + Agar-agar<br />

(0.6% w/v ). The mean numbers of shoots induced were 6.<br />

Whereas Swarna produced maximum shoot in MS<br />

containing BAP (1.5 mg/l) + NAA (0.6 mg/l) + Kinetin (0.6 mg/<br />

l) + Maltose (30 g/l ) +Agar agar (0.6% w/v ) The mean of<br />

shoots induced were 10.<br />

LITERATURE CITED<br />

Fujimura, T., Sakurai, M., Akagi H., Negishi, T. and Hirose, A. 1985.<br />

Regeneration of rice plants from protoplasts. Plants Tissue. Cult.<br />

Lett., 2: 74-75.<br />

Koetija, D.S., Grines, H.D., Wang, Y.C. and Hodges, T.K. 1989.<br />

Regeneration of indica rice (Oryza sativa L.) from primary callus<br />

derived from immature embryos. J. Plant Physiol., 135: 184-190.<br />

Prasad, R. and Pandey, 2004. Text book of field crop production,<br />

Directorate of Information and Publication of Agri., pp.1-54.<br />

Singh, C.P. and Singh, R. 2003. Modern Technique of Raising field<br />

crop, pp.1-54.<br />

Venkatachlam, P., Geetha, N., Priya, P., Rajasegar, G. and Jayabalan, N.<br />

2000. Efficient callus induction and plant regeneration from<br />

immature anther of Rice (Oryza sativa L.) via Somatic<br />

Embryogenesis. Plant Cell Biotech Mol. Biol., 1(1&2): 55-62.<br />

Zhang, S. 1995. Efficient plant regeneration from Indica (group I) rice<br />

protoplast of one advanced breeding line and three varieties. Plant<br />

Cell Reports, 15: 68-71.<br />

Recieved on 17-07-<strong>2012</strong> Accepted on 01-08-<strong>2012</strong>


Trends in Biosciences 5 (3): 176-179, <strong>2012</strong><br />

In Vitro Regeneration of Banana Variety Grand Naine (G 9)<br />

MANJU RAI*¹, PALLAVI MITTAL², AMANDEEP KAUR³, GURPREET KAUR³, ISHA GAUR³ AND<br />

CHARANDEEP S<strong>IN</strong>GH 4<br />

1<br />

Raizo Biotec Labs, Ludhiana, Punjab<br />

2<br />

I.T.S Para Medical College, Muradnagar, Gaziabad<br />

3<br />

Chandigarh Group of Colleges, Landran, Mohali, Punjab<br />

4<br />

B.I.S Institute of Science and Technology, Moga, Punjab<br />

1<br />

e-mail: raizobiotec@raizo.com<br />

ABSTRACT<br />

This research was planned to study the effect of various<br />

combinations of auxins and cytokinins on micropropagation of<br />

“Grand Naine” cultivar of Banana (Musa). Rhizomes bearing<br />

the meristematic shoot tips were taken as explants from<br />

greenhouse maintained plants. These were surface sterilized<br />

with different concentrations of bavistin and HgCl 2<br />

for different<br />

intervals of time and cultured on MS media supplemented<br />

with different concentrations of BAP (0.25, 0.5, 1.0, 1.5, 2.0, 2.5,<br />

3.0 mg/l) and NAA (0.25 and 0.5 mg/l). BAP at 2.0 mg/l along<br />

with NAA at 0.5 mg/l proved to be the best combination and<br />

showed optimum shoot growth. Multiplicated shoots were<br />

inoculated on rooting media incorporated with either IBA or<br />

NAA (0.25, 0.5, 1.0, 1.5, 2.0, 2.5 and 3.0 mg/l) and Charcoal (2<br />

gm/l) for root induction. IBA (2mg/l) and Charcoal (2 gm/l)<br />

produced maximum number of roots with a lot of root hairs.<br />

Shoots obtained in rooting media were hardened in portrays<br />

containing different potting mixtures, of which the mixture of<br />

Cocopeat and sand (2:1) showed maximum (96%) survival of<br />

plantlets.<br />

Key words<br />

Surface sterilization, multiplication, root induction,<br />

micropropagation, microshoots, hardening.<br />

Grand Naine are the cultivars of Musa acuminate and<br />

have become one of the most popular varieties for cultivation<br />

in Punjab under the crop diversification scheme. Punjab has<br />

suitable climate (sub-tropical) for banana cultivation as this<br />

particular cultivar is able to face climatic extrimities quite boldly.<br />

The main characteristics are its medium height about 6 ft and<br />

large fruit yields (20-25 kg/plant in Punjab). The moderate<br />

height allows easy harvesting and some resistance to<br />

windthrow. Micropropagation is an effective method for mass<br />

scale multiplication of disease free planting material in a short<br />

duration of time . Using vegetative parts such as suckers for<br />

propagation, there is a risk of transmitting the serious diseases<br />

like Banana Bunchy Top Virus (BBTV) which tremendously<br />

reduces the yield. As a non-seasonal crop, bananas are<br />

available fresh-year-round.<br />

MATERIALS AND METHODS<br />

Suckers of cultivar “Grand Naine” were collected from<br />

the green house growing plants of Raizo Biotec Labs.<br />

Meristematic shoot tips along with the underground rhizome<br />

(Fig.1a) were rinsed thoroughly with Teepol solution (2%)<br />

and then dipped in 1% Bavistin solution for 3 to 4 hours for<br />

surface decontamination. The explants were then trimmed off<br />

with the help of scalpel blade and converted to a suitable size<br />

(1-2 cm) for culturing (Fig. 1b). The rhizome bearing the shoot<br />

tip were further surface sterilized with 0.5% Bavistin for 12<br />

minutes followed by 0.1% HgCl 2<br />

for 7 minutes in the laminar<br />

air flow hood. Finally, explants were washed thrice with double<br />

distilled autoclaved water and cultured (Fig. 1c) on MS basal<br />

medium (Murashige and Skoog , 1962). The pH of the medium<br />

was adjusted to 5.8 and autoclaved at 1.04kg/cm² pressure<br />

and 121°C temperature for 15-20 minutes after dispensing 30<br />

ml each in jam jars. The cultures were incubated in the culture<br />

room maintained at standard conditions of temperature and<br />

light i.e, 25±2? under 3000 lux of light for 16 h light per day .<br />

Observations were recorded after one week. The shoots so<br />

induced on the basal media were subcultured on MS media<br />

supplemented with different growth regulators viz., BAP (6<br />

benzyl-amino purine) and NAA (á-naphthalene acetic acid).<br />

BAP at different concentrations (0.25, 0.5, 1.0, 1.5, 2.0, 2.5 and<br />

3.0 mg/l) and NAA (0.25 and 0.5 mg/l) either individually or in<br />

combination and incubated for four weeks under the above<br />

mentioned culture conditions. After four weeks growth<br />

analysis, expressed as the number of shoots,length of shoots<br />

and type of shoots were recorded. Shoots grown on<br />

multiplication media for 7 cycles are further inoculated on<br />

rooting media for root induction. The rooting media is<br />

supplemented either with NAA or IBA (indole butyric acid)<br />

of different concentration (0.25, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0 mg/l)<br />

along with charcoal. Observations were recorded after 14 days<br />

of incubation. The rooted plants were removed from the jars<br />

after 21 days on rooting media and were washed under running<br />

water for removal of agar and then were subjected to primary<br />

hardening in trays on moist cotton for 2 days (Fig.). Finally,<br />

the in vitro rooted plants were acclimatized on different potting<br />

mixtures Cocopeat and sand (2:1), farmyard manure and sand<br />

(1:1:1) and farmyard manure, sand and soil (1:1:1) to record<br />

the observations for the best potting mixtures for the survival<br />

of plants after 21 days of hardening.<br />

For each treatment, 12 replicates were used and each<br />

experiment was repeated thrice. The experimental data were


RAI et al., In vitro Regeneration of Banana Variety “Grand Naine” (G-9) 177<br />

analysed statistically by one way analysis of variance<br />

(ANOVA) to determine the variation between and within the<br />

treatments with respect to number of shoots and roots.<br />

RESULTS AND DISCUSSION<br />

The response of Musa spp. cv. Grand Naine rhizomes<br />

with apical buds as explants cultured on different proliferation<br />

media over a period of six weeks are presented in Table 1. For<br />

Multiplication of shoots cytokinin and auxin are the combined<br />

factors which influence the growth and multiplicity of the<br />

shoots. Culture medium devoid of growth regulators (control)<br />

failed to stimulate the bud break response in the explants<br />

even when cultures were maintained beyond the normal<br />

observation period of four weeks. MS medium with growth<br />

regulator supplements produced better results in terms of<br />

percentage explants response,shoots/explants and average<br />

shoot length . Of the combinations tested MS + BAP ( 2 mg/<br />

l ) + NAA ( 0.5 mg/l ) elicited optimal response in which the<br />

average of 7.5 ± 0.45 shootlets (Fig. 2a , Table 1) with a mean<br />

shoot length of 6.2 ± 0.37 cm/explants was recorded. The<br />

second best shoot multiplication was obtained in the medium<br />

MS + BAP ( 1.5 mg/l ) + NAA ( 0.5 mg/l ) with a mean shoot<br />

length of 5.2 ± 0.43 cm (Fig. 2b). Higher concentration of BAP<br />

( 2.5 and 3.0 mg/l ) with NAA (0.5 mg/l) showed nodulation of<br />

the explants with fewer number of shoots. In such cultures<br />

shoots were stunted with minimum shoot length of 2.5 ± 0.43<br />

cm. significantly higher response in medium with combination<br />

of 2.0 mg/l BAP and 0.5 mg/l NAA has been recorded in the<br />

present study. The quality of shoots and the overall growth<br />

response in terms of average shoot length was shown better<br />

in this growth regulator combination. A comparatively low<br />

response was observed when BAP alone was added in the<br />

medium. This indicates that the addition of NAA , IBA or IAA<br />

to the medium improved the response of shoot growth in a<br />

number of species. Strosse, et al., 2008 reported that cytokinins<br />

NAA and BAP (5 mg/l) were used for the highest multiplication<br />

rate in banana. Height of the shoots was also maximum at this<br />

ncentration. Oliveira, et al., 2000 carried out the bud<br />

multiplication with 4.0 mg/l BAP for 3 subcultures. The<br />

multiplication rate was highest, without any contamination.<br />

Liang Jing Xan and Hu Yu Lin, 2011 used different hormone<br />

combinations of 0.4 – 0.6 mg/l BAP and 0.1 – 0.2 mg/l NAA to<br />

induce the adventitious buds. The highest multiplication rate<br />

was found in MS medium for subculturing containing 0.6 mg/<br />

l BAP and 0.2 mg/l NAA, give rise to strong buds and normal<br />

leaf color were realized under these conditions. Muhammad,<br />

2004 studied the effect of BAP in combination with IAA (indole<br />

-3- acetic acid) on shoot proliferation. Concentration of BAP<br />

and IAA ranged from 0.1 to 0.4 mg/l each on solid or liquid<br />

medium. The minimum number of shoots regenerated from a<br />

single shoot tip was achieved in liquid MS media containing<br />

4.0 mg/l BAP and 0.1mg/l NAA. The best result demonstrated<br />

that 4.0 mg/l BAP and 1.0 mg/l NAA. Olivia, et al., 1990 carried<br />

out the culturing on ½ strength MS media with 5 mg/l BAP<br />

and 100 ml coconut water for shoot multiplication. Banerjee<br />

and Langhe, 1985 carried out the multiplication on the MS<br />

media supplemented with BAP 2.30 mg/l and IAA 1.80 mg/l.<br />

This concentration was used for rapid clonal propagation and<br />

stored under minimal growth conditions.<br />

Well developed elongated shoots measuring 4 – 5 cm in<br />

length were excised from shoot clump and transferred to MS<br />

medium containing IBA or NAA and charcoal (2 g/l). The<br />

rooting responses of excised shoots on different media , which<br />

includes rooting percentage, days required for root initiation,<br />

mean number of roots/shoot and mean root growth over a<br />

period of four weeks were recorded (Fig. 3, Table 2). No rooting<br />

was observed in auxin free basal medium (control). Similarly<br />

at lower level of IBA (0.25 mg/l) treatments, there was hardly<br />

any root emergence within four weeks of observation period.<br />

However on all the higher concentrations of IBA so tested<br />

(1.5 and 2.0 mg/l) good rooting response was noted. MS with<br />

2.0 mg/l IBA showed 95 % cultures responding to rooting<br />

with an average of 8.5 ± 0.33 roots per microshoot and an<br />

average shoot length of 3.5 ± 0.38 cm was recorded (Fig. 3a ,<br />

Table 2). There was a remarkable increase in both shoot and<br />

root length after six weeks of culture (Fig. 3b). The second<br />

highest response (70%) was recorded at 1.5mg/l of IBA with<br />

an average root number of 6.0 ± 0.18 roots/plantlet with an<br />

average root length of 3.0 ±0.09 cm. In the present<br />

investigations it was observed that root primordial emerged<br />

from the base of the microshoots within 6 – 8 days after shoot<br />

inoculation and soon after that the growth was rapid. IBA<br />

was found to be more effective than NAA in induction of<br />

rooting as days required were only 6 – 8 as against 10 – 16<br />

days for similar response with IBA . Production of plantlets<br />

with profuse rooting in vitro is important for successful<br />

establishment of regenerated plants in soil (Sharma and Singh,<br />

1997). Similar findings were reported by Senthilkumar and<br />

Ramsundar, 2009 while carrying out the root induction with<br />

the medium supplemented with charcoal 1 gm/l and IBA 0.1<br />

mg/l. Yung I- Lee, et al., 2001 carried out the root induction<br />

with IBA 0.02 mg/l and charcoal 1gm/l resulting in long and<br />

hairy roots. Olivia, et al., 1990 added different components<br />

into the MS media. These components are micronutrient,<br />

macronutrient, vitamins, Fe-EDTA and coconut water (100 ml).<br />

When these plantlets are transferred to protreys, the leaves<br />

obtained are expanded and were also well rooted.<br />

Well rooted plants were removed from the jars and rinsed<br />

thoroughly before keeping on moist cotton for 48 hours in<br />

treys or jars in the incubation room (Fig. 4a) partly covered to<br />

prevent loss of moisture. The rooted shoots were then<br />

transferred to multiwell protreys containing different growth<br />

media viz., soil, sand and cocopeat (1:1:1), soil sand and<br />

farmyard manure (1:1:1) and mixture of cocopeat and sand<br />

(2:1). Plants were maintained at 28°C of temperature and 70 –<br />

80% relative humidity in greenhouse. Observations for the<br />

best growth media were recorded after three weeks. It was<br />

found that maximum survival rate (96%) was on the medium


178 Trends in Biosciences 5 (3), <strong>2012</strong><br />

Table 1.<br />

Shoot formation in rhizome sprouting of Grand Naine variety of banana cultured on semi solid MS medium<br />

supplemented with various concentrations of BAP and NAA (12 explants per treatment, data recorded at the end of 6<br />

weeks).<br />

Tre at men t<br />

Hor mo na l su pp le men ts<br />

mg/ l<br />

% o f e xpl an ts<br />

re s pon se<br />

M e an no . o f sh oo ts /<br />

e xpl a nt± S .D<br />

M e an sh oo t l e ngt h<br />

(c m.) ±S. D<br />

BAP<br />

NAA<br />

T1 0 0 - - -<br />

T2 0 .25 0 20 1.6 ±0 .30 1. 0±0 .09<br />

T3 0 .5 0 30 2.5 ±0 .12 1. 5±0 .04<br />

T4 1 .0 0 35 2.5 ±0 .38 2. 0±0 .14<br />

T5 1 .5 0 40 2.6 ±0 .35 2. 5±0 .26<br />

T6 2 .0 0 50 2.8 ±0 .14 2. 6±0 .23<br />

T7 2 .5 0 45 2.0 ±0 .33 2. 8±0 .21<br />

T8 3 .0 0 40 1.8 ±0 .49 2. 2±0 .18<br />

T9 0 .25 0. 25 30 2.1 ±0 .12 2. 4±0 .16<br />

T10 0 .5 0. 25 35 2.5 ±0 .14 2. 8±0 .04<br />

T11 1 .0 0. 25 40 3.0 ±0 .37 3. 0±0 .41<br />

T12 1 .5 0. 25 60 3.2 ±0 .25 3. 2±0 .28<br />

T13 2 .0 0. 25 60 3.2 ±0 .33 2. 0±0 .26<br />

T14 2 .5 0. 25 50 2.2 ±0 .24 1. 8±0 .12<br />

T15 3 .0 0. 25 45 2.0 ±0 .31 2. 0±0 .28<br />

T16 0 .25 0 .5 40 2.2 ±0 .28 2. 2±0 .30<br />

T17 0 .5 0 .5 50 2.3 ±0 .04 3. 0±0 .32<br />

T18 1 .0 0 .5 60 3.5 ±0 .42 5. 2±0 .43<br />

T19 1 .5 0 .5 75 4.5 ±0 .41 6. 2±0 .37<br />

T20 2 .0 0 .5 90 7.5 ±0 .45 3. 2±0 .18<br />

T21 2 .5 0 .5 60 3.5 ±0 .08 2. 3±0 .18<br />

T22 3 .0 0 .5 50 2.5 ±0 .43 3. 0±0 .36<br />

P< 0.05 level of significance S.D : Standard Deviation<br />

containing cocopeat and sand in the ratio of 2:1 (Fig. 4b).<br />

After three weeks these plants acquire well established root<br />

system and are transplanted to polybags containing a mixture<br />

of soil, sand and FYM in the ratio of 1:1:1 and kept in shade<br />

net house for further acclimatization (Fig. 5, 6). Upon transfer<br />

to shade net house, the plants started producing new leaves<br />

after two weeks of transplantation. Later, these were<br />

transferred to field conditions and the survival rate was 98%.<br />

Our findings are in accordance with Lima, et al., 2007 who<br />

used the different mixture in the portrays for acclimatization.<br />

The mixture contained subsoil land + carbonized rice hull +<br />

residue of tea decomposed in proportion 1:1:1. 95% survival<br />

of the plantlets was observed. Olivia, et al., 1990 used the<br />

mixture of coirdust and garden soil (1:1), decomposed saw<br />

Table 2. Effect of different levels of NAA and IBA on rooting response of microshoots of Grand Naine (12 replicates /<br />

treatment, data recorded after 4 weeks)<br />

Tre at men t<br />

MS me d iu m + %<br />

c ha rc oa l( 2 g/ l )+ gr owt h exp l ant s<br />

re gu la to r r es po nse<br />

IBA NAA<br />

P< 0.05 level of significance S.D : Standard Deviation<br />

Day s to ro ot<br />

i nd uc ti o n<br />

M e an ro ot no .<br />

± S. D<br />

Me a n r oo t l e ng th<br />

± S. D<br />

T1 0 0 - - - -<br />

T2 0.2 5 0 2 0 12 - 14 1 .0± 0.3 0 1 .0± 0.1 4<br />

T3 0. 5 0 4 0 10 - 12 2 .0± 0.2 4 2 .0± 0.1 2<br />

T4 1. 0 0 5 0 10 - 12 2 .5± 0.0 4 2 .2± 0.1 6<br />

T5 1. 5 0 7 0 6 - 9 6 .0± 0.1 8 3 .0± 0.0 9<br />

T6 2. 0 0 9 5 6 - 8 8 .5± 0.3 3 3 .5± 0.3 8<br />

T7 2. 5 0 5 0 10 - 12 2 .2± 0.3 2 2 .3± 0.1 4<br />

T8 3. 0 0 4 0 10 - 12 1 .4± 0.2 4 1 .7± 0.2 8<br />

T9 0 0. 25 3 0 12 - 16 1 .0± 0.1 4 1 .5± 0.1 2<br />

T10 0 0 .5 4 0 12 - 16 2 .2± 0.1 6 2 .4± 0.1 6<br />

T11 0 1 .0 6 0 10 - 12 2 .5± 0.0 4 2 .5± 0.1 2<br />

T12 0 1 .5 5 5 10 - 12 2 .6± 0.0 4 2 .2± 0.0 8<br />

T13 0 2 .0 7 0 10 - 12 2 .8± 0.1 2 2 .6± 0.0 4<br />

T14 0 2 .5 5 0 10 - 16 1 .8± 0.3 8 2 .2± 0.1 4<br />

T15 0 3 .0 4 0 10 - 16 1 .6± 0.1 4 1 .5± 0.1 4


RAI et al., In vitro Regeneration of Banana Variety “Grand Naine” (G-9) 179<br />

plantlets to polythene bags containing garden soil and humus<br />

(1:1). After 2 weeks 98% planlets survived and flushed new<br />

leaves.<br />

The efficient micropropagation technique described may<br />

be appropriated as a highly useful one for raising disease<br />

free quality planting propagules of Grand Naine variety of<br />

banana for commercial cultivation which will not only aid in<br />

socioeconomic development of the farmers but also fulfill the<br />

market demand.<br />

LITERATURE CITED<br />

Fig. 1.<br />

Fig. 2.<br />

Fig. 3.<br />

Fig. 4.<br />

Fig. 5.<br />

Fig. 6.<br />

Preparation, inoculation and induction of shoot bud on<br />

MS medium (a) Explant taken from field (b) Explant<br />

ready for inoculation (c) Inoculation of explant into<br />

MS medium (d) Emergence of shoot bud after 3 weeks<br />

of inoculation (e) Shoot growth on MS basal media<br />

After 5 weeks of inoculation<br />

Shoot multiplication (a) Multiplication on MS media<br />

with 2 mg/l BAP after 3 weeks (b) Growth after 4<br />

weeks on 2 mg/l BAP<br />

Rooting of shoots on MS media with 2 mg/l IBA<br />

(a) Rooted plantlets after 3 weeks (b) Rooted plantlets<br />

after 6 weeks<br />

(a) In vitro hardening (b) Primary hardening in protreys<br />

90 days old plant ready for transplanting into the field.<br />

110 days old banana plants in the nursery<br />

dust and garden soil (1:1), decomposed animal manure and<br />

garden soil (1:1), sand and garden soil (1:1). The best survival<br />

rate of plantlets were obtained on sand and garden soil in<br />

equal proportion. Islam, et al., 2010 transferred the rooted<br />

Banerjee, N., De Langhe, E. 1985. A tissue culture technique for rapid<br />

clonal propagation and storage under minimal growth conditions<br />

of Musa (banana and plantain). Plant Cell Reports, 4:351-154.<br />

Islam, R., Rahman, M.H.I., Ahmad, M.A., Bari, M.Z. Rahman and M.,<br />

Hassain. 2010. Micropropagation of Banana Cv. Ranginsagar (AAA<br />

Group), A Commercial Cultivar of Northern Region of Bangladesh.<br />

SUST Studies. 7(1):19-24. Bangladesh<br />

Lima, J.D., Silva, S.H.M.G. da, Santos, E.M.H. dos, Lima, A.P. de S.,<br />

Hirata, D.M., Santos, F. dos 2009. Crescimento e nutrição de<br />

mudas de bananeira em substrato contendo resíduos da agroindústria<br />

de chá preto durante a aclimatização. Scientia Agraria, 10(1): 37-<br />

42.<br />

Muhammad Aish. 2004. In vitro multiplication of banana (Musa<br />

spp.). HortScience, 42: 1253-1255.<br />

Murashige, T. and Skoog, F. 1962. A revised medium for rapid growth<br />

and bioassays with tobacco tissue cultures. Physiologia Planta., 15:<br />

473-497.<br />

Oliveira, R.P., de, Silveira, D.G., Oliveirad e Silva, S. de 2000. Effect of<br />

disinfection and use of contamination indicators in banana<br />

micropropagation. Revista Brasileira de Fruticultura, 22(1): 57-<br />

61.<br />

Olivia, P.D., Glenn, C.G., Robert, J.H., Steve, W.A., Mike, K.S., Ian,<br />

D.G. 1990. Random amplified polymorphic DNA (RAPD) detection<br />

of dwarf off-types in micropropagated Cavendish (Musa spp. AAA)<br />

bananas. Plant Cell Reports, 16(1): 118-123.<br />

Senthilkumar, M., Ramsundar, V. 2009. Micropropagation of banana<br />

Musa spp. cv. Robusta (AAA). Plant Cell Biotechnology and<br />

Molecular Biology, 10(1/2):19-24.<br />

Sharma, T.R., Singh, B.M. 1997. High frequency in vitro multiplication<br />

of disease free Zingiber officinale Rosc. Plant Cell Reports, 17: 68-<br />

72.<br />

Strosse, H., André, E., Sági, L., Swennen, R., Panis, B. 2008. Adventitious<br />

shoot formation is not inherent to micropropagation of banana as<br />

it is in maize. Plant Cell Tissue and Organ Culture, 95:321-332.<br />

Young I. Lee. 2001. In vitro culture and germination of terrestrial asian<br />

orchid seeds. Methods in Molecular Biology, 710:53-62<br />

Recieved on 28-08-<strong>2012</strong> Accepted on 13-09-<strong>2012</strong>


Trends in Biosciences 5 (3): 180-183, <strong>2012</strong><br />

A Rapid and Simplex Methodology for Development of Platform Bioprocess<br />

Technology for Manufacturing of Recombinant Therapeutic Proteins in Serum Free<br />

Medium at Small Scale<br />

PRAVEEN GUPTA<br />

Apcegen Technologies Private Limited, Indian Institute of Technology, Kanpur, U.P. 208 016<br />

e-mail: praveenshrihari@rediffmail.com<br />

ABSTRACT<br />

One of the key dynamics in development of mammalian cell<br />

culture process development is the identification, selection and<br />

optimization of a suitable cell culture production medium.<br />

There are several basal se rum free medium available<br />

commercially in the market, which are still not meeting the<br />

demand of particular mammalian cell line with respect to<br />

maximum cell density, maximum productivity and quality of<br />

recombinant monoclonal antibodies. In order to necessitate<br />

these needs, a rapid and simplex methodology was developed<br />

fo r de velo pment of bio proc ess technolo gy for GMP<br />

manufacturing of recombinant monoclonal antibodies at shale<br />

flask level.<br />

Key words<br />

Cell Culture, Medium Optimization, DOE, Bioprocess,<br />

Monoclonal Antibodies<br />

The class of recombinant therapeutic proteins is<br />

growing rapidly due their ability to address human health<br />

needs. Globally, the market for these drugs is valued about $<br />

100 billion – 15% to 20% of the total pharmaceutical market.<br />

The race has begun to make biosimilar versions as several of<br />

these biomolecules Patent protections are going off by 2015<br />

naturally; this offers a huge commercial opportunity to the<br />

generic drug producers. Recently, USFDA has also put their<br />

effort to promote this business segment area by releasing of<br />

draft guidelines for manufacturing of biosimilars which will<br />

help manufacturer to get a clear overview to launch a biosimilars<br />

product in the US market. Indian biopharmaceuticals market<br />

has also rapidly grown to US $2000 million by 2010. This<br />

success has placed the Indian biopharmaceuticals<br />

manufacturers in the forefront in the global biosimilars<br />

manufacturers. Selection of commercially available medium<br />

and development of feed strategy for bioproduction of<br />

recombinant therapeutics is traditionally a difficult and time<br />

consuming process. Earlier work showed simple strategies<br />

based on cell and spent media analysis (McKeehan, et al.,<br />

1981) and highly complex factorial designs requiring multiple<br />

iterations for data analysis (Delacruz, et al., 2001). These<br />

methodologies typically results in optimization that is highly<br />

cloned specific as nutritional requirement of different cell clone<br />

is unique. Using multiple approaches a well balanced cell<br />

culture bioprocess platform developed consisting of basal<br />

medium and concentrated feed formulation with sufficient<br />

diversity to support process optimization. This approach will<br />

result in development of cost effective and robust platform<br />

bioprocess technology to meet all current demands for<br />

production of human recombinant therapeutic proteins such<br />

as high cell density growth coupled with productivity.<br />

MATERIALS AND METHODS<br />

Cell culture<br />

The CHO cell line CRL-9606 was obtained from ATCC.<br />

This particular cell line was designed to produce IgG using a<br />

DHFR - expression system with methotrexate (MTX) for<br />

selection. The culture was adapted to CD-CHO protein-free<br />

media (Invitrogen, Carlsbad, CA) deficient in hypoxanthine<br />

and thymidine. The culture medium was supplemented with<br />

L-glutamine (Gibco) to a final concentration of 3.4 mM and<br />

MTX (SIGMA) to a final concentration of 500 nM. A stable<br />

cell pool generated by transfection the plasmid containing<br />

IgG gene with DHFR as a selection marker. The cells were<br />

maintained and grown in DMEM with 10% FBS in tissue culture<br />

flasks in a CO 2<br />

incubator containing a humidified atmosphere<br />

of 8% CO 2<br />

in air at 37 0 C.<br />

Adaptation of adherent to serum free suspension cells<br />

Clone was adapted in serum free medium in shake flasks<br />

by sequential adaptation method. In adaptation, two passages<br />

were given in each reduction of FBS concentration in order to<br />

maintain viability more than 85%. Seeding Cell count was<br />

maintained ~ 0.5 million cells/mL for each passage level during<br />

entire adaptation process. In final passage with 1% FBS cells<br />

were directly taken up in shake flasks and incubated in a CO 2<br />

incubator containing a humidified atmosphere of 8% CO 2<br />

in<br />

air on an orbital shaker (Sartorius) rotating 130-150 rpm at<br />

37 0 C.<br />

Cell counting and viability measurement<br />

Cell counting and viability of culture was determined<br />

based on Trypan blue exclusion method (Patterson, 1979) by<br />

using Beckman Vi-CELL coulter.<br />

Expression determination of IgG<br />

Yield of IgG production was measured by an ELISA<br />

assay (Veronica, et al., 2006). Briefly, micro platyes (96-well,<br />

Nalge-Nunc) were coated with 100 uL/ well of polyclonal antihuman<br />

Antibody in 0.1 M sodium bicarbonate buffer (pH8.3)


PRAVEEN GUPTA, A rapid and simplex methodology for development of platform bioprocess technology 181<br />

at 4 0 c overnight. Each plate was blocked with 150 uL of 1%<br />

BSA in PBS fro 2 hrs at room temperature. Rest procedure is<br />

followed from manufacturer of kit (R&D Systems Inc, MN).<br />

RESULTS AND DISCUSSION<br />

Optimization of Production Medium<br />

A simple and rapid design of experiment for optimization<br />

of medium was developed which was divided in three major<br />

categories;<br />

1. Selection of basal medium<br />

2. Development of feed formulation<br />

3. Development of feed strategy<br />

1. Selection of basal medium<br />

In order to selection of basal medium; five serum free<br />

commercially available medium were identified based on<br />

concentration of D-Glucose, L-Glutamine, Trace Elements and<br />

Amino Acids. They were CD Forti CHO (Life technologies),<br />

Opti CHO (Life technologies), CD-CHO Excell (Sigma),<br />

CD4Mab (Hyclone), CD4CHO (Hyclone)). A selection criterion<br />

was defined by maximum viable cell count and productivity.<br />

All the experiment was performed in Erlenmeyer 125 mL shake<br />

flaks in duplicates with a working volume of 30 mL and average<br />

data was plotted in Fig. 1 and 2, where maximum viable cell<br />

count was found in CD Forti CHO media whereas maximum<br />

productivity was found in CD4CHO (Hyclone). Hyclone<br />

CD4CHO media was selected for further optimization of<br />

medium.<br />

2. Development of Feed Formulation<br />

A Design of experiments was development based on<br />

Plackett Burman Methodology. A statistical software Minitab<br />

was used for creating the factorial design (Table 1). Full<br />

factorial (2k) includes all possible combinations of ê<br />

components, each tested at two levels. In this study 10<br />

potential additives was selected which have shown the effect<br />

on cellular growth of various cell lines and the basis of selection<br />

is described below:<br />

Fig. 1.<br />

Basal medium selection, criteria maximum viable cell<br />

count<br />

Fig. 2.<br />

Basal medium selection, criteria productivity<br />

Table 1.<br />

Factorial design for development of feed formulation<br />

Flask ID Group D-Fructose Lipid BFGF ITS ZAP L-Glycine L-Aaparagine Sodium h-EGF h-IGF<br />

CHO<br />

Pyruvate<br />

6 1 + + - + + + - - - +<br />

7 2 - + + - + + - - - -<br />

8 3 + - - + - + + + - -<br />

9 4 - + - + + - + + + -<br />

10 5 - - + - + + + + + +<br />

11 6 - - - + - + - - + +<br />

12 7 + - - - + - + + - +<br />

13 8 + + - - - + + + + -<br />

14 9 + + + - - - - - + +<br />

15 10 - + + + - - + + - +<br />

16 11 + - + + + - - - + -<br />

17 12 - - - - - - - - - -<br />

18 13 + + + + + + + + + +<br />

Final Concentration<br />

used<br />

Fructose Lipid BFGF ITS ZAP L-Glycine L-Asparagine Sodium h-EGF h-IGF<br />

CHO<br />

Pyruvate<br />

10mM 1X 4 ug/L 1X 1X 1g/L 28.4 ug/L 110 mg/L 5 ug/mL 2 ug/mL


182 Trends in Biosciences 5 (3), <strong>2012</strong><br />

A) D-Fructose (Sigma) in the medium helps to maintain<br />

the pH of the medium by controlling the rate of<br />

production of lactic acid and ammonia (Barngrover, et<br />

al., 1985).<br />

B) Insulin Transferrin Selenium (ITS) (Gibco) have been<br />

shown to be components which are required for optimal<br />

performance of serum-free media (Bottenstein, et al.,<br />

1979).<br />

C) L-Glycine (Sigma) simplest amino acid playing various<br />

role in cellular mechanisum ( Narhi, et al., 1997).<br />

D) L-Asparagine (Sigma) has been shown to enhance<br />

ornithine decarboxylase activity in cultured human colon<br />

adeno carcinoma Caco-2 cells (Chabanon, et al., 2000).<br />

E) ZAP-CHO improves CHO growth and productivity.<br />

F) basic Fibroblast Growth Factor (B-FGF) (Sigma) potent<br />

regulators of cell proliferation, differentiation and<br />

function (Galzie, et al., 1997).<br />

G) human Epidermal Growth Factor (h-EGF) (Sigma), a<br />

mitogenic for variety of epidermal and epithelial cells,<br />

including fibroblasts, glial cells, mammary epithelial cells,<br />

vascular and corneal endothelial cells, bovine granulosa,<br />

rabbit chondrocytes, HeLa cells, and SV40-3T3 cells<br />

(Carpenter and Cohen, 1979).<br />

H) human Insulin Linked Growth Factor (h-IGF) (Sigma),<br />

a mitogenic in nature and playing a role in cellular<br />

metabolism (Eckhard, et al., 1996).<br />

I) Sodium pyruvate (Gibco) an intermediary organic acid<br />

metabolite in glycolysis and the first of the Embden<br />

Myerhoff pathway that can pass readily into or out of<br />

the cell. Thus, its addition to tissue culture medium<br />

provides both an energy source and a carbon skeleton<br />

for anabolic processes.<br />

J) Lipid supplement (Gibco) chemically defined lipid<br />

concentrate is a concentrated lipid emulsion designed<br />

to reduce or replace fetal bovine serum in cell culture<br />

media for a wide variety of applications, including growth<br />

and maintenance of CHO, hybridoma, and insect cells in<br />

culture; monoclonal antibody production by<br />

hybridomas; and viral expression in insect cells.<br />

Fig. 3, showed that Feed Group-3 in combination of D-<br />

Fructose, ITS, L-Glycine, L-Asparagine and Sodium Pyruvate<br />

was helping to increase productivity by about 60% as<br />

compare to basal medium CD4CHO whereas Feed Group-7 D-<br />

Fructose, ZAP-CHO, L-Asparagine, Sodium Pyruvate and h-<br />

IGF increased productivity by about 40% as compare to basal<br />

medium CD4CHO. These two feed formulation were selected<br />

for further experiments.<br />

3. Development of Feed Strategy<br />

From selection of basal medium experiment next<br />

Fig. 3.<br />

Development of feed formulation, criteria productivity.<br />

promising basal media was selected based on the productivity<br />

and designed an experiment for feed strategy. Table 2 showed<br />

feeding of cells at different time feed intervals with<br />

combination of Feed Group 3 and Feed Group 7 with a basal<br />

medium Hyclone CD4 CHO medium and Opti-CHO medium.<br />

Graph 4; showed that when Opti-CHO : Hyclone CD CHO<br />

medium (1:1) ratio was used with daily feeding of Feed Group-<br />

3 in 5% V/V, productivity was found 3X of productivity in<br />

CD4CHO medium.<br />

In this study, we developed a bioprocess platform<br />

technology which may be used to develop human recombinant<br />

therapeutic such as monoclonal antibodies, hormones, fusion<br />

Table 2.<br />

Hyclone CD4<br />

CHO medium<br />

Fig. 4.<br />

Feed strategy development<br />

Shake flask -<br />

ID<br />

Feed<br />

group<br />

Feed<br />

time<br />

19 F-3 24 hrs 5<br />

20 F-7 24 hrs 5<br />

21 F-3 48 hrs 5<br />

Development of feed strategy<br />

Feed %<br />

V/V<br />

22 F-7 48 hrs 5<br />

23 F-3 24 hrs 5<br />

Opti-CHO<br />

24 F-7 24 hrs 5<br />

25 F-3 48 hrs 5<br />

26 F-7 48 hrs 5<br />

Opti-CHO : 27 F-3 24 hrs 5<br />

Hyclone CD 28 F-7 24 hrs 5<br />

CHO medium 29 F-3 48 hrs 5<br />

(1:1) 30 F-7 48 hrs 5


PRAVEEN GUPTA, A rapid and simplex methodology for development of platform bioprocess technology 183<br />

proteins and vaccines. We developed multi-approaches<br />

coupled with Design of Experiments (DOE) methodology for<br />

this study to keep in mind simplicity and rapidness of<br />

technology. In this work, its defined the strategy into three<br />

category; Selection of commercial available Basal Medium,<br />

Development of Feed Formulation and Development of Feed<br />

Strategy. By defining of criteria for each sub category helps<br />

to eliminate rest un-potential variables from the exercise. In<br />

first step, we eliminated three un-potential commercially<br />

available medium and selected two potential commercially<br />

available medium. After this step we indentified two potential<br />

additives sub-sets to develop a feed formulation and finally<br />

playing with feed development strategy, we defined that 50%<br />

mixture of Opti-CHO and Hyclone CD CHO medium each with<br />

daily feeding of Feed Group 3 (Fructose, ITS, L-Glycine, L-<br />

Asparagine and Transferring) in 5% V/V increased the<br />

productivity 3X of productivity in basal medium. This clearly<br />

shows a potential methodology to adopt in biomanuafcturing<br />

of Biotherapeutic products as a platform bioprocess<br />

technology.<br />

LITERATURE CITED<br />

Barngrover, D., Thomas, J. and Thilly, W.G. 1985. High Density<br />

Mammalian Cell Growth in Leibovitz Bicarbonate-Free Medium:<br />

Effects of Fructose and Galactose on Culture Biochemistry; J. Cell<br />

Set., 78: 173-189.<br />

Bottenstein, J., Hayashi, I., Hutchings, S., Masui, H., Mather, J.,<br />

McClure, D.B., Ohasa, S., Rizzino, A., Sato, G., Serrero, G., Wolfe,<br />

R. and Wu, R. 1979. Methods in Enzymology, vol.LVIII pp. 94-<br />

109, Academic Press, New York.<br />

Carpenter, G. and Cohen, S. 1979. Human Epidermal Growth Factor;<br />

Annu. Rev. Biochem., 48: 193-216.<br />

Chabanon, H., et al. 2000. Increased translation efficiency and<br />

antizyme-dependent stabilization of ornithine decarboxylase in<br />

amino acid supplemented human colon adeno carcinoma cells, Caco-<br />

2. Biochem. J., 348(Pt 2): 401-408.<br />

Chabanon, H., Persson, L., Wallace, H.M., Ferrara, M., Brachet, P.<br />

2000. Increased translation efficiency and antizyme-dependent<br />

stabilization of ornithine decarboxylase in amino acid supplemented<br />

human colon adeno carcinoma cells, Caco-2. Biochem. J., 348(Pt<br />

2): 401-408.<br />

Delacruz, N. et al., 2001. Factorial design and analysis for rapid<br />

development of an antibody production process in CHO cells; Animal<br />

Cell Technology: From Target to Market (eds. E. Lindner-Olsson,<br />

et al.), pp.279-285.<br />

Delacruz, N., Crupi, G., Etcheverry, T. 2001. Factorial design and analysis<br />

for rapid development of an antibody production process in CHO<br />

cells; Animal Cell Technology: From Target to Market (E. Lindner-<br />

Olsson, et al., eds.), 279-285.<br />

Eckhard wolf, Peter, M. Jehle, Matthias, M. Weber, Helga, Sauerwein,<br />

Andreas Daxenberger, Bernhard, H. Breier, Urban, Besenfelder,<br />

Laszlo, Frenyo and Gottfried, Brem. 1996. Human Insulin-Like<br />

Growth Factor I (IGF-I) Produced in the Mammary Glands of<br />

Transgenic Rabbits: Yield, Receptor Binding, Mitogenic Activity,<br />

and Effects on IGF-Binding Proteins; Endocrinology, Vol. 138, No.<br />

1.<br />

Galzie, Z., et al. 1997. Fibroblast growth factors and their receptors,<br />

Biochem. Cell Biol., 75: 669-685.<br />

Galzie, Z., Kinsella, A.R., Smith, J.A. 1997. Fibroblast growth factors<br />

and their receptors, Biochem. Cell Biol., 75: 669-685.<br />

McKeehan, W., McKeehan, K, and Ham, R. 1981. The relationship<br />

between defined low-molecular-weight substances and undefined<br />

serum-derived factors in the multtiplication of untrans formed<br />

fibroblasts. The Growth Requirements of Vertebrate Cells, In Vitro,<br />

Chapter 15, (eds. C. Waymouth, R. Ham and P. Chapple), Cambridge<br />

Univ. Press (New York), pp.223-243.<br />

Narhi, L.O., et al. 1997. Effect of three elution buffers on the recovery<br />

and structure of monoclonal antibodies. Anal. Biochem. 253(2):<br />

236-245.<br />

Narhi, L.O., Caughey, D.J., Horan, T., Kita, Y., Chang, D., Arakawa,<br />

T. 1997. Effect of three elution buffers on the recovery and structure<br />

of monoclonal antibodies. Anal. Biochem. 253(2): 236-245.<br />

Patterson, M.K. 1979. Measurement of growth and viability of cells in<br />

culture. In: Methods in Enzymology, Academic Press, New York,<br />

58: 141-152.<br />

Veronica Restelli, Min-Dong Wang, Norman, H., Martin, E., Helene,<br />

P., Michael, B. 2006. The Effect of Dissolved Oxygen on the<br />

Production and glycosylation Profile of Recombinant<br />

Erythropoietin Produced from CHO cells., Biotechnology and<br />

Bioengineering, 94: 3.<br />

Recieved on 29-02-<strong>2012</strong> Accepted on 25-08-<strong>2012</strong>


Trends in Biosciences 5 (3): 184-187, <strong>2012</strong><br />

Inheritance of Resistance to Yellow Mosaic Virus in Moth Bean<br />

L. N. YOGEESH 1 , R. MADHUSUDHAN 2 , B.A. RAVI 2 AND S. GANGAPRASAD<br />

1<br />

Agricultural Research Station, UAS, Raichur, Hagari 583 138, Bellary District, Karnataka<br />

2<br />

Department of Bio-technology, UAS, GKVK, Bangalore 560 065, Karnataka<br />

e-mail: lnygenes@gmail.com<br />

ABSTRACT<br />

Field screening of 121 moth bean accessions for YMV resistance<br />

revealed sixty-four resistant genotypes, one moderately<br />

resistant and remaining all susceptible in summer whereas,<br />

only 57 entries showed resistance in Kharif 2008. MH 43,<br />

resistant line identified from germplasm screening was crossed<br />

with GMO 25, YMV susceptible line. The F 1<br />

and F 2<br />

progenies<br />

were phenotyped for YMV-reaction under natural conditions.<br />

A monogenic dominant control of YMV-resistance has been<br />

revealed from the F 2<br />

segregation ratio of 3:1 (resistant:<br />

susceptible).<br />

Key words<br />

Moth bean, YMV, germplasm, inheritance<br />

Moth bean [Vigna accontifolia (Jacq.) Marechal] is a<br />

native minor pulse crop found in hot and dry habitats of<br />

northern-western parts of India. In severe soil moisture deficit<br />

situations encountered with exceeding evaporative demands,<br />

moth bean has been rated as the most adaptive, economic<br />

and useful annual legume Moth bean is grown in India over<br />

an area of 13.53 lakh hectares with an annual production of<br />

2.91 lakh tonnes and productivity of 215 kg per hectare (Anon.,<br />

2008). In Karnataka production of moth bean is least amongst<br />

other growing states in India and is mainly grown in northern<br />

districts. In India, the YMV disease was first noticed during<br />

early seventies in Uttar Pradesh and Rajasthan (Tyagi and<br />

Mathur, 1978 and Nene, 1972). YMV is transmitted through<br />

the vector white fly, Bemisia tabaci Genn., is one of the most<br />

devastating biotic stresses which can cause up to 100%<br />

damage to a large number of leguminous crops. Although<br />

chemical control of white flies may limit the local spread of<br />

YMV genetic resistance is the only economically viable<br />

method of disease control. Despite the severity of the damage<br />

caused by YMV, the information on inheritance pattern of<br />

resistance gene controlling this disease is limited. Hence in<br />

the present study an attempt was made to investigate the<br />

mode of genetic control of resistance to YMV under field<br />

conditions.<br />

MATERIALS AND METHODS<br />

Screening for YMV disease resistance<br />

One hundred twenty one accessions maintained at<br />

AICRP on Arid Legumes (Table 1) were screened against<br />

yellow mosaic virus under field conditions during summer-<br />

2008. Susceptible genotype was planted after every five test<br />

entries as disease spreader rows. The per cent leaf chlorosis<br />

as an indication of disease severity on each genotype was<br />

assessed regularly at 15 days intervals. The disease severity<br />

was recorded on five trifoliate leaves on each plant. Per cent<br />

incidence of YMV disease was recorded by counting the<br />

number of infected plants out of the total number of plants.<br />

The genotypes were grouped into different categories using<br />

disease scoring scale suggested by Muniyappa, et al., 1987<br />

(Table 2).<br />

Development of F 1<br />

s and evaluation of F 2<br />

population<br />

The parent MH 43 differed from GMO 25 with respect to<br />

high level of intrinsic resistance to yellow mosaic disease. F 1<br />

seeds obtained from the above crosses along with their<br />

parents were sown during September 2009 under Greenhouse<br />

conditions for rapid advancement to produce F 2<br />

generation.<br />

Morphological traits such as plant type, flower color, pod<br />

color, seed colour and seed size of respective male parents<br />

were used as markers to differentiate and confirm F 1<br />

plants<br />

from selfed ones. The 125 F 2<br />

seeds from the GMO 25 X MH 43<br />

cross along with their parents were sown in the field for YMV<br />

resistance screening during summer 2010 (disease expression<br />

is better in summer) to understand the inheritance of YMV<br />

resistance. Plants were scored for the incidence of YMV at 15<br />

days interval upto 75 days under natural conditions. The<br />

plants showing yellow in mosaic symptoms were considered<br />

‘susceptible’ failing which were considered ‘resistant’. The<br />

goodness of fit to Mendelian segregation ratio has been tested<br />

in the F 2<br />

segregating population by Chi- square test.<br />

RESULTS AND DISCUSSION<br />

Disease reactions of the genotypes evaluated are listed<br />

in Table 3. Among the genotypes evaluated, 65 entries showed<br />

less than 5% of disease incidence and hence were grouped<br />

under resistant category. Only one genotype (Local 2) had<br />

8.5% disease and hence it was grouped under moderately<br />

resistant category. 29 genotypes showed 15 to 30 % disease<br />

incidence and were grouped as moderately susceptible. Six<br />

genotype viz., GMO 01-04, GMO 01-09, RMB 100, RMB 25,<br />

GMO 14, and GMO 3 showed more than 30 up to 50% disease<br />

incidence and were grouped as susceptible. Remaining 20<br />

entries showed more than 75% disease incidence and were<br />

grouped under highly susceptible category to the mosaic virus<br />

disease.


YOGEESH et al., Inheritance of Resistance to Yellow Mosaic Virus in Moth Bean 185<br />

Inheritance of YMV disease<br />

Genetics of resistance to Yellow Mosaic Virus from F 2<br />

populations of GMO 25 X MH 43 cross has been worked out<br />

(Table 4). The F 2<br />

plants were grouped into two classes viz.,<br />

resistant with no apparent symptoms and susceptible with<br />

severe yellow mosaic symptoms. The goodness of fit to the<br />

Mendelian segregation ratio for resistance and susceptibility<br />

in the F 2<br />

plants has been worked out based on the Chi-square<br />

test (Table 4). It was observed that F 2<br />

plants segregated into<br />

3:1 (Resistant: Susceptible) ratio with chi-square test for the<br />

cross non-significant. In this cross 82 plants were found to be<br />

resistant and 43 plants were susceptible. Similar findings were<br />

made by Anon, 2003 in mungbean and Dahiya, et al., 1977;<br />

Kaushal and Singh, 1998; Reddy and Singh, 1993; Gupta, et<br />

al., 2005 in blackgram. However the present results are not in<br />

agreement with the reports of Thakur, et al., 1977 who observed<br />

single recessive allele controlling Mungbean Yellow Mosaic<br />

Virus tolerance, Singh, 1980 and Solanki, et al., 1982 have<br />

claimed that Mungbean Yellow Mosaic Virus resistance was<br />

due to duplicate recessive genes. Verma and Singh, 1986;<br />

Reddy and Singh, 1993 reported that MYMV resistance was<br />

due to one dominant and one recessive gene.<br />

Monogenic dominant control of YMV-resistance has been<br />

revealed from the F 2<br />

segregation ratio of 3:1 (resistant:<br />

susceptible). This knowledge of the simple inheritance pattern<br />

of resistance and independent assortment of genes governing<br />

resistance to yellow mosaic disease could be used effectively<br />

in development of cultivars resistant to disease or<br />

Table 1.<br />

List of 121 accession of moth bean used in the study<br />

Sl<br />

no. Entries Source Sl<br />

no. Entries Source Sl<br />

no.<br />

Entries<br />

Source<br />

1 Bijapur 1 North Karnataka 42 Muddebihal 13 North Karnataka 83 Shikaripura 2 Central Karnataka<br />

2 Bijapur 2 North Karnataka 43 Honnali 1 Central Karnataka 84 Shikaripura 3 Central Karnataka<br />

3 Bijapur 3 North Karnataka 44 Honnali 2 Central Karnataka 85 Shikaripura 4 Central Karnataka<br />

4 Bijapur 4 North Karnataka 45 Honnali 3 Central Karnataka 86 Gulbarga 1 North Karnataka<br />

5 Bijapur 5 North Karnataka 46 Honnali 4 Central Karnataka 87 Gulbarga-Halisagar 2 North Karnataka<br />

6 Bijapur 6 North Karnataka 47 Honnali 5 Central Karnataka 88 Gulbarga-Kannoli 3 North Karnataka<br />

7 Bijapur 7 North Karnataka 48 Honnali 6 Central Karnataka 89 Gulbarga- Hosagar 4 North Karnataka<br />

8 Bijapur 8 North Karnataka 49 Honnali 7 Central Karnataka 90 Gulbarga- Vanadurga 5 North Karnataka<br />

9 Bijapur 9 North Karnataka 50 Honnali 8 Central Karnataka 91 Gulbarga-Shahapur 6 North Karnataka<br />

10 Bijapur 10 North Karnataka 51 Honnali 9 Central Karnataka 92 Gulbarga 7 North Karnataka<br />

11 Bijapur 11 North Karnataka 52 Honnali 10 Central Karnataka 93 Gulbarga-sindhi 8 North Karnataka<br />

12 Bijapur 12 North Karnataka 53 Honnali 11 Central Karnataka 94 Gulbarga-Golasar 9 North Karnataka<br />

13 Bijapur 13 North Karnataka 54 Soudatti 1 Central Karnataka 95 Gulbarga- Moratagi 10 North Karnataka<br />

14 Bijapur 14 North Karnataka 55 Soudatti 2 Central Karnataka 96 Gulbarga 11 North Karnataka<br />

15 Bijapur 15 North Karnataka 56 Soudatti 3 Central Karnataka 97 GMO 3 CAZRI, Rajasthan<br />

16 Bijapur 16 North Karnataka 57 Soudatti 4 Central Karnataka 98 GMO 14 CAZRI, Rajasthan<br />

17 Bijapur 17 North Karnataka 58 Soudatti 5 Central Karnataka 99 GMO 25 CAZRI, Rajasthan<br />

18 Bijapur 18 North Karnataka 59 Soudatti 6 Central Karnataka 100 GMO 01-04 CAZRI, Rajasthan<br />

19 Bijapur 19 North Karnataka 60 Soudatti 7 Central Karnataka 101 GMO 01-09 CAZRI, Rajasthan<br />

20 Bijapur 20 North Karnataka 61 Basavanabagewadi 1 Central Karnataka 102 RMO 40 CAZRI, Rajasthan<br />

21 Bijapur 21 North Karnataka 62 Basavanabagewadi 2 Central Karnataka 103 RMO 42 CAZRI, Rajasthan<br />

22 Bijapur 22 North Karnataka 63 Basavanabagewadi 3 Central Karnataka 104 RMO 140 CAZRI, Rajasthan<br />

23 Bijapur 23 North Karnataka 64 Basavandabagewadi 4 Central Karnataka 105 RMO 225 CAZRI, Rajasthan<br />

24 Bijapur 24 North Karnataka 65 Basavanabagewadi 5 Central Karnataka 106 RMO 257 CAZRI, Rajasthan<br />

25 Bijapur 25 North Karnataka 66 Bhemarayanagudi 2 Central Karnataka 107 RMO 423 CAZRI, Rajasthan<br />

26 Bijapur 26 North Karnataka 67 Bagalkot 1 Central Karnataka 108 RMO 435 CAZRI, Rajasthan<br />

27 Bijapur 27 North Karnataka 68 Bagalkot 2 Central Karnataka 109 RMB 25 CAZRI, Rajasthan<br />

28 Bijapur 28 North Karnataka 69 Bagalkot 3 Central Karnataka 110 RMB 100 CAZRI, Rajasthan<br />

29 Bijapur 29 North Karnataka 70 Bagalkot 4 Central Karnataka 111 CZM 1 CAZRI, Rajasthan<br />

30 Muddebihal 1 North Karnataka 71 Bagalkot 5 Central Karnataka 112 CZM 2 CAZRI, Rajasthan<br />

31 Muddebihal 2 North Karnataka 72 Bagalkot 6 Central Karnataka 113 CZM 3 CAZRI, Rajasthan<br />

32 Muddebihal 3 North Karnataka 73 Maharastra 1 Maharastra 114 MH 43 CAZRI, Rajasthan<br />

33 Muddebihal 4 North Karnataka 74 Maharastra 2 Maharastra 115 MH 61 CAZRI, Rajasthan<br />

34 Muddebihal 5 North Karnataka 75 Maharastra 3 Maharastra 116 P1 CAZRI, Rajasthan<br />

35 Muddebihal 6 North Karnataka 76 Maharastra 4 Maharastra 117 P2 CAZRI, Rajasthan<br />

36 Muddebihal 7 North Karnataka 77 Maharastra 5 Maharastra 118 P3 CAZRI, Rajasthan<br />

37 Muddebihal 8 North Karnataka 78 Davanagere 1 Central Karnataka 119 P4 CAZRI, Rajasthan<br />

38 Muddebihal 9 North Karnataka 79 Davanagere 2 Central Karnataka 120 P5 CAZRI, Rajasthan<br />

39 Muddebihal 10 North Karnataka 80 Davanagere 3 Central Karnataka 121 P6 CAZRI, Rajasthan<br />

40 Muddebihal 11 North Karnataka 81 Local 2 North Karnataka<br />

41 Muddebihal 12 North Karnataka 82 Shikaripura 1 Central Karnataka


186 Trends in Biosciences 5 (3), <strong>2012</strong><br />

Table 2.<br />

Disease scoring scale for moth bean yellow mosaic virus Disease<br />

Rating Per cent foliage affected<br />

Reaction<br />

1 No visible symptoms on leaves<br />

Immune<br />

2 Small necrotic yellow specks with restricted spread covering 0.1-5% leaf area<br />

Resistant<br />

3 Mottling of leaves, covering 5.10-10% leaf area<br />

Moderately Resistant<br />

4 Yellow mottling of leaves, covering 10.10-15% leaf area<br />

5 Yellow mottling and discolouration of leaves, covering 15.10-30% leaf area Moderately Susceptible<br />

6 Yellow discolouration of 30.10-50% of leaves<br />

7<br />

Pronounced yellow mottling and discolouration of leaves, pods and reduction in leaf size and stunting of plants covering Susceptible<br />

50.10-75% of foliage<br />

8<br />

Sever yellow discolouration of leaves, stunting of plants, reduction in pod size, no pod formation, covering 75.1-85% of<br />

foliage<br />

Highly Susceptible<br />

9 Sever yellowing of entire leaves, stunting of plants and no pod formation covering 85-100% of foliage<br />

Table 3.<br />

Grouping of Moth bean genotypes/varieties into different degree of resistance against Moth bean yellow mosaic virus<br />

under field condition<br />

Rating percentage leaf area<br />

covered<br />

1 No visible symptoms<br />

on leaves<br />

2 Small necrotic yellow<br />

specks with restrict6ed<br />

spread covering 0.1-<br />

5% leaf area<br />

Reaction<br />

Resistant<br />

3 Mottling of leaves,<br />

covering 5.1-10% leaf Moderately<br />

area<br />

resistant<br />

4 Yellow mottling of<br />

leaves, covering 10.1 -<br />

15% leaf area<br />

5 Yellow mottling and<br />

discoloration of leaves<br />

covering 15.1-30% leaf<br />

area<br />

Moderately<br />

susceptible<br />

6 Yellow discoloration<br />

of 30-50% of leaves Susceptible<br />

7 Pronounced yellow<br />

mottling and<br />

discoloration of leaves,<br />

pods and reduction in<br />

leaf size and stunting<br />

of plants covering<br />

50.1-75% of foliage<br />

8 Sever yellow<br />

discoloration of leaves, Highly<br />

stunting of plants, Susceptible<br />

reduction in pod size,<br />

no pod formation,<br />

covering 75.1-85% of<br />

leaves.<br />

9 Sever yellowing of<br />

entire leaves, stunting<br />

of plants and no pod<br />

formation covering<br />

85.1-100% of foliage<br />

Genotypes<br />

(Summer season)<br />

Genotypes<br />

(Rainy season)<br />

RMO 257,RMO 40,RMO 435,RMO 225,RMO 0- MH 1, MH 43,MH 61, 1,H 2,H 3,H 4,H 5,H 6,H<br />

09,RMO 140,MH 1,MH 43, MH 61,RMO 42,RMO 423, 7,H 8,H 9,H 10,H 11,SOU 1,SOU 2,SOU 3,SOU<br />

H 1,H 2,H 3,H 4,H 5,H 6,H 7,H 8,H 9,H 10,H 11,SOU 4,SOU 5,SOU 6,SOU 7,BB 1,BB 2,BB 3,BB<br />

1,SOU 2,SOU 3,SOU 4,SOU 5,SOU 6,SOU 7,BB 1,BB 4,BB 5,BB 6,BK 1,BK 2,BK 3,BK 4, BK 5,BK<br />

2,BB 3,BB 4,BB 5,BB 6,BK 1,BK 2,BK 3,BK 4,BK 6,S 1,S 2,S 3,S 4,S 5,SP 1,SP 2,SP 3,SP 4,D 1,D<br />

5,BK 6,S 1,S 2,S 3,S 4,S 5,SP 1,SP 2,SP 3,SP 4,D 1,D 2, D 3,D 4,S<strong>IN</strong>DI 8 ,GOLASAR,MORTAGI,P<br />

2,D 3,D 4,S<strong>IN</strong>DI8,GOLASAR,MORTAGI,P 1,P 2,P 3,P 1,P 2,P 3,P 4,P 5, P 6, CZM 1, CZM 3,CZM 2<br />

4,P 5,P 6, CZM 1,CZM 3,CZM 2<br />

LOCAL 2 LOCAL 2, RMO 423, BIJAPUR 28,<br />

BIJAPUR 29<br />

BP 1,BP 2,BP 3,BP 4,BP 5,BP 6,BP 7,BP 8,BP 9,BP<br />

10,BP 11,BP 12,BP 13,BP 14,BP 15,BP 16,BP 17,BP<br />

18,BP 19,BP 20,BP 21,BP 22,BP 23,BP 24,BP 25,BP<br />

26,BP 27,BP 28,BP 29<br />

GMO 01-04, GMO 01-09,RMB 100, RMB 25,GMO<br />

14,GMO 3<br />

GMO 25, GB 1,GB 2,GB 3,GB 4,GB 5,GB 6,GB 7, MB<br />

1,MB 2,MB 3,MB 4,MB 5,MB 6,MB 7,MB 8,MB 9,MB<br />

10,MB 11,MB 12,MB 13<br />

BIJAPUR 1,BIJAPUR 2,BIJAPUR 3,BIJAPUR<br />

4, BIJAPUR 5,BIJAPUR 6,BIJAPUR 7,<br />

BIJAPUR 8, BIJAPUR 9, BIJAPUR 10,<br />

BIJAPUR 11, BIJAPUR 12, BIJAPUR 13,<br />

BIJAPUR 14, BIJAPUR 15,BIJAPUR 16,<br />

BIJAPUR 17, BIJAPUR 18, BIJAPUR 19,<br />

BIJAPUR 20, BIJAPUR 21,BIJAPUR 22,<br />

BIJAPUR 23, BIJAPUR 24, BIJAPUR 25,<br />

BIJAPUR 26, BIJAPUR 27<br />

GMO 01-09, RMB 100, RMB 25,GMO 14,<br />

GMO 3<br />

GMO 01-04, GMO 25, GB 1, GB 2, GB 3, GB 4,<br />

GB 5, GB 6, GB 7, MB 1, MB 2, MB 3, MB 4,<br />

MB 5, MB 6, MB 7, MB 8, MB 9, MB 10, MB<br />

11, MB 12, MB 13, RMO 225, RMO 257, RMO<br />

40, RMO 435, RMO 140


Table 4.<br />

YOGEESH et al., Inheritance of Resistance to Yellow Mosaic Virus in Moth Bean 187<br />

Reaction of the F 2<br />

segregating generation of the cross GMO 25 × MH 43 to Moth bean Yellow mosaic virus<br />

Sl. Crosse of F 2 generation<br />

Total<br />

Moth bean yellow mosaic virus disease<br />

Ratio χ 2 value χ 2 value<br />

No.<br />

plants Observed frequencies Expected frequencies R:S (Cal.) (Tab.)<br />

Resistant<br />

plants<br />

Susceptible<br />

plants<br />

Resistant<br />

plants<br />

Susceptible<br />

plants<br />

1. GMO 25 (S) x MH 43 (R) 125 82 43 93.75 31.25 3:1 5.88 6.64<br />

incorporating resistance in existing promising cultivars in moth<br />

bean.<br />

LITERATURE CITED<br />

Anonymous, 2003. In: Final workshop and planning meeting on<br />

mungbean. Asian Vegetable Research and Development Center. pp.<br />

75-76.<br />

Anonymous, 2008. Directorate of economics and statistics, New Delhi.<br />

NHDF, Rajasthan.<br />

Dahiya, B.S. Singh, K. and Brar, J.S. 1977. Incorporation of resistance<br />

to mungbean yellow mosaic virus in blackgram (Vigna mungo L.).<br />

Tropical Grain Legume Bull., 9:28-32.<br />

Gupta, S. Kumar, S. Singh, R.A. and Chandra, S. 2005. Identification of<br />

a single dominant gene for resistance to mungbean yellow mosaic<br />

virus in blackgram [Vigna mungo (L.) Hepper]. SABRAO J. Breed.<br />

Genet., 37: 85-89.<br />

Kaushal, R.P. and Singh, B.M. 1998. Inheritance of disease resistance<br />

in blackgram (Vigna mungo). Indian J. Agric. Sci., 58:123-124.<br />

Marechal, R. Mascherpa. J.M. and Stainer. 1978. combinations and<br />

new genera Phaseolus, Minkelossia, Marcoptilium, Ramirezellu and<br />

Vigna Taxon 28: 99-202.<br />

Muniyappa, V. Rajeshwari, R. Bharathan, N. Reddy, D. V. R. and Nolt,<br />

B.L. 1987. Isolation and characterization of a gemini virus causing<br />

yellow mosaic disease of horsegram (Macrotyloma uniflorum) in<br />

India. Phytopathol. Z., 119: 81-87.<br />

Nene, Y. L. 1972. A study of viral disease of pulse crops in Uttar<br />

Pradesh. Res Bull. No.4., G. B. Pant. Univ. Agri. Tech., Pantnagar,<br />

pp.144.<br />

Reddy, K.R. and Singh, D.P. 1993. Inheritance of resistance to mungbean<br />

yellow mosaic virus. Madras Agric. J., 80: 199-201.<br />

Solanki, I.S. Dahiya, B.S. and Waldia, R.S. 1982. Resistance to mungbean<br />

yellow mosaic virus in blackgram. Indian J. Genet., 43:240-242.<br />

Thakur, R.P. Patel, P.N. and Verma, J.P. 1977. Genetical relationship<br />

between reactions to bacterial leaf spot, yellow mosaic and cercospora<br />

leaf spot diseases in mungbean [Vigna radiata (L.) Wilczek]<br />

Euphytica, 26:765-774.<br />

Tyagi, R. N. S and Mathur, A. K. 1978. Pathological status of kharif<br />

pulses in Rajasthan. Indian J. Mycol. Pl. Pathol., 8: 20.<br />

Verma, R.P.S. and Singh, D.P. 1986. The allelic relationship of genes<br />

giving resistance to mungbean yellow mosaic virus in blackgram.<br />

Theor. Appl.Genet., 72: 737-738.<br />

Recieved on 15-09-<strong>2012</strong> Accepted on 20-08-<strong>2012</strong>


Trends in Biosciences 5 (3): 188-190, <strong>2012</strong><br />

Efficacy of IPM Modules against Tomato Leaf Miner, Liriomyza trifolii (Burgess)<br />

WAGH S.S. AND PATIL P.D.<br />

Department of Agricultural Entomology, Dr. B.S. Konkan Krishi Vidyapeeth, Dapoli 415 712 (Maharashtra)<br />

e-mail: shrirangwagh@gmail.com<br />

ABSTRACT<br />

The experiment was conducted to find out relative efficacy of<br />

different integrated pest management modules comprised of<br />

alternate spray of chemical pesticides, biopesticides and<br />

botanicals against tomato leaf miner. Though the results have<br />

indicated superiority of one of the insecticidal module in<br />

reduction of larval population of leaf miner, Liriomyza trifolii<br />

Burgess, the IPM module composed of alternate spray of Lamda<br />

cyhalothrin 5EC (0.005%), B. bassiana 1.25 kg ha -1 , Abamectin1.9<br />

EC (0.0009%) and Azadirachtin 1500 ppm-2 ml l -1 was at par<br />

with insecticidal module. Also the other insecticidal module,<br />

module and module recorded nearly same larval population<br />

per leaf and were comparable with module.<br />

Key words<br />

Tomato, Liriomyza trifolii and IPM modules.<br />

Tomato (Lycopersicon esculentum Mill.) is the world’s<br />

largest vegetable crop, occupies an outstanding place among<br />

the important vegetables. It is widely grown in the world<br />

because of its wide adaptability to different agro-climatic<br />

conditions and high yield potential. In India, productivity of<br />

tomato is very low as compare to its production potential of<br />

the developed countries. There are many reasons for low<br />

production potential, among them pest infestation is major<br />

one.<br />

Serpentine leaf miner (Liriomyza trifolii Burgess), a<br />

native of Southern United States and Central America was<br />

accidently introduced into India during 1991-92 along with<br />

plant material and has spread widely. It is polyphagous pest<br />

affecting more than 91 host plants including pulses, fiber and<br />

vegetables (Galande, 2001). The infestation is generally severe<br />

on cucurbits and tomato and observed throughout the year.<br />

Presently, chemical pesticides are used by farmers for<br />

the protection of tomato against leaf miner and other pests.<br />

The over dependence and indiscriminate use of chemical<br />

pesticides has resulted in several problems like development<br />

of resistance to pesticides, outbreak of secondary pest,<br />

reduction of biodiversity and natural enemies. Indiscriminate<br />

use of pesticides has resulted in failure of control of the tomato<br />

fruit borer (Lal and Lal, 1996). These drawbacks of chemical<br />

pesticides emphasized the need to identify alternate ecofriendly<br />

methods to manage the pests of tomato.<br />

MATERIALS AND METHODS<br />

Field experiment was conducted at ASPEE Agricultural<br />

Research and Development foundation Farm, Village Nare.<br />

Tal. Wada, Dist. Thane during Rabi 2008-2009. The seedlings<br />

of tomato variety NS 815 (M/s Namdhari Seeds Private Limited,<br />

Bidadi, Bangalore) were raised under shed net condition.<br />

Transplanting was done in plot (Gross- 4.8m x 3.0m, Net- 4.8m<br />

x 2.25m) in R.B.D. (Randomized Block Design) having three<br />

replications and eleven treatments. There were eleven<br />

predefined IPM modules including control (Table 1). Four<br />

sprays were given, each at interval of 15 days starting from 15<br />

days after transplanting. The quantity of spray solution<br />

required to treat all plants under each treatment was determined<br />

prior to the application of each spray. The spraying was done<br />

by using manually operated Knap-Sack sprayer. Seed treatment<br />

and seedling root dip treatment were given at the time of<br />

sowing and transplanting, respectively.<br />

Goneem has prepared in laboratory having constituentscow<br />

urine 80%, Neemazal-T/S 10%, leaf extract of Ocimum<br />

basilicum (Tulas) 6%, seed powder of Terminalia chebula<br />

(Harda) 2% and extract of Allium sativum (lasun) 2%.<br />

The pre-count was recorded 1 day prior to treatment<br />

and post treatment observations were recorded 3, 7, and 14<br />

days after each spray. For recording the observations, five<br />

plants per plot were selected randomly and labeled.<br />

Observations were recorded on five leaves on each randomly<br />

selected plants representing lower, middle and upper portion<br />

of the plant and number of larvae per leaf were worked out.<br />

RESULTS AND DISCUSSION<br />

Efficacy of first spray of IPM modules against tomato<br />

leaf miner, L. trifolii<br />

Data on mean larval population per leaf after first spray<br />

(Table 2) indicated that the modules M 5<br />

and M 6<br />

comprising of<br />

treatment with 0.005 per cent lamda cyhalothrin recorded<br />

significantly lowest larval population (0.46 and 0.48,<br />

respectively) followed by (M 7<br />

) 0.004 per cent acetamiprid (0.55)<br />

and (M 9<br />

) 0.01 per cent fipronil (0.64) which were at par with<br />

each other. The module M 3<br />

and M 4<br />

consisting of treatment<br />

with 0.0045 per cent imidacloprid 17.8 SL were observed as<br />

next best modules in order of merit for management of leaf<br />

miner infesting tomato. Module M 2<br />

and module M 10<br />

comprising<br />

of seedling root dip treatment with 0.04 per cent imidacloprid<br />

and Neemazal (1%), respectively also observed significantly<br />

effective over control. However, module M 1<br />

consisting of seed<br />

treatment with imidacloprid 70 WS @ 10 g kg -1 and module M 8<br />

with foliar spray of HaNPV @ 0.5 l ha -1 failed to show<br />

significant reduction over control.


WAGH S.S. AND PATIL P.D., Efficacy of IPM Modules Against Tomato Leaf Miner, Liriomyza trifoli (Burgess) 189<br />

The present findings regarding efficacy of lamda<br />

cyhalothrin 5 EC confirm the results of Naitam, et al., 1999.<br />

They reported the effectiveness of lamda cyhalothrin against<br />

leaf miner infesting tomato. Effectiveness of acetamiprid 50 g<br />

a.i. ha -1 and imidacloprid 17.8 SL 20 g a.i. ha -1 was reported by<br />

Choudary and Rosaiah, 2001.<br />

Efficacy of second spray of IPM modules against tomato<br />

leaf miner, L. trifolii<br />

The mean larval population per leaf after second spray<br />

(Table 2) indicated that the module M 6<br />

and M 7<br />

composed of<br />

treatment with 0.0009 per cent abamectin 1.9 EC recorded<br />

significantly lowest mean larval population (0.63 and 0.64,<br />

respectively) followed by (M 9<br />

) 0.004 per cent acetamiprid 20<br />

SP (0.77) which were at par with each other. The module M 8<br />

composed of treatment with goneem was observed next best<br />

in order of merit. The treatments with B. bassiana @ 1.25 kg<br />

ha -1 , HaNPV @ 0.5 l ha -1 and V. lecanii @ 2.5 kg ha -1 were<br />

found least effective against leaf miner infesting tomato.<br />

The present findings with the abamectin confirm the<br />

results of Eswarareddy, et al., 2004 and Kumar and Kotikal,<br />

2006. They reported effectiveness of abamectin against leaf<br />

miner infesting tomato. Similarly, effectiveness of acetamiprid<br />

@ 50 g a.i. ha -1 was reported by Choudary and Rosaiah, 2001.<br />

Efficacy of third spray of IPM modules against tomato leaf<br />

miner, L. trifolii<br />

After third spray mean larval population per leaf (Table<br />

2) revealed that the module M 5<br />

composed of treatment with<br />

0.0009 per cent abamectin 1.9 EC recorded significantly lowest<br />

population of larvae (0.45) followed by (M 9<br />

) 0.15 per cent<br />

carbaryl 50 WP (0.52) and (M 4<br />

and M 3<br />

) 0.015 per cent<br />

diflubenzuron 25 WP (0.56 and 0.58) which were at par with<br />

each other. The treatment with goneem @ 5 ml l -1 was found<br />

next best treatment in reducing larval population of leaf miner.<br />

The treatment with B. thuringiensis @ 1 kg ha -1 and HaNPV<br />

@ 0.5 l ha -1 were found least effective against leaf miner<br />

infesting tomato.<br />

From the observations 3, 7 and 14 days after third spray<br />

it is found that abamectin was highly effective against tomato<br />

leaf miner. The findings obtained during present investigation<br />

confirm the results of Eswarareddy, et al., 2004 and Kumar<br />

and Kotikal, 2006.<br />

Efficacy of fourth spray of IPM modules against tomato<br />

leaf miner, L. trifolii<br />

The mean larval population per leaf after fourth spray<br />

(Table 2) indicated that the module M 9<br />

comprised of treatment<br />

Table 1.<br />

Details of the IPM modules tested for management of tomato leaf miner, Liriomyza trifoli (Burgess)<br />

Module I spray/application II Spray III Spray IV Spray<br />

M 1<br />

Imidacloprid<br />

70 WS 10 g kg -1<br />

(Seed treatment)<br />

HaNPV<br />

0.5 l ha -1 Goneem<br />

5 ml l -1 Azadirachtin<br />

1500 ppm<br />

2 ml l -1<br />

M 2<br />

M 3<br />

M 4<br />

M 5<br />

M 6<br />

M 7<br />

M 8<br />

M 9<br />

Imidacloprid<br />

17.8 SL 0.04%<br />

(seedling root dip)<br />

Imidacloprid<br />

17.8 SL<br />

0.0045%<br />

Imidacloprid<br />

17.8 SL<br />

0.0045%<br />

Lamda cyhalothrin<br />

5EC<br />

0.005%<br />

Lamda cyhalothrin<br />

5EC<br />

0.005%<br />

Acetamiprid<br />

20 SP<br />

0.004%<br />

HaNPV<br />

Goneem<br />

Azadirachtin<br />

0.5 l ha -1 5 ml l -1 1500 ppm<br />

2 ml l -1<br />

HaNPV<br />

Diflubenzuron<br />

0.5 l ha -1 25 WP<br />

0.015%<br />

B. thuringiensis<br />

1kg ha -1<br />

Diflubenzuron<br />

25 WP<br />

0.015%<br />

B. bassiana<br />

Abamectin<br />

1.25 kg ha -1 1.9 EC<br />

0.0009%<br />

Abamectin<br />

1.9 EC<br />

0.0009%<br />

Abamectin<br />

1.9 EC<br />

0.0009%<br />

Goneem<br />

5 ml l -1<br />

Goneem<br />

5 ml l -1<br />

Azadirachtin<br />

1500 ppm<br />

2 ml l -1<br />

HaNPV<br />

Azadirachtin<br />

0.5 l ha -1 1500 ppm<br />

2 ml l -1<br />

B. thuringiensis<br />

1kg ha -1<br />

HaNPV<br />

Goneem<br />

B. thuringiensis<br />

0.5 l ha -1 5 ml l -1 1kg ha -1<br />

Fipronil 5 SC<br />

0.01%<br />

M 10 Neemazal 1%<br />

(seedling root dip)<br />

M 11<br />

Control (water spray)<br />

Acetamiprid<br />

0.004%<br />

20 SP<br />

Carbaryl<br />

50 WP<br />

0.15%<br />

Goneem<br />

5 ml l -1<br />

Azadirachtin<br />

1500 ppm<br />

2 ml l -1<br />

Endosulfan<br />

35 EC<br />

0.05%<br />

V. lecanii<br />

HaNPV<br />

Azadirachtin<br />

2.5 kg ha -1 0.5 l ha -1 1500 ppm<br />

2 ml l -1


190 Trends in Biosciences 5 (3), <strong>2012</strong><br />

Table 2.<br />

Relative efficacy of IPM modules against tomato leaf miner, L. trifolii<br />

Sr.<br />

No.<br />

Module<br />

Mean larval population/leaf<br />

Number of sprays<br />

Pooled<br />

Mean<br />

I II III IV<br />

1. M 1 1.16 (1.47)* 1.80 (1.67) 1.09 (1.45) 0.89 (1.37) 1.24 (1.49)<br />

2. M 2 0.97 (1.40) 1.76 (1.66) 1.02 (1.42) 0.84 (1.36) 1.15 (1.47)<br />

3. M 3 0.68 (1.30) 1.62 (1.62) 0.58 (1.26) 0.91 (1.38) 0.95 (1.40)<br />

4. M 4 0.67 (1.29) 1.33 (1.53) 0.56 (1.25) 0.84 (1.36) 0.84 (1.36)<br />

5. M 5 0.46 (1.21) 1.50 (1.58) 0.45 (1.21) 0.72 (1.31) 0.79 (1.34)<br />

6. M 6 0.48 (1.22) 0.63 (1.28) 1.33 (1.53) 0.79 (1.34) 0.81 (1.35)<br />

7. M 7 0.55 (1.24) 0.64 (1.28) 1.17 (1.47) 1.10 (1.45) 0.85 (1.36)<br />

8. M 8 1.18 (1.48) 1.24 (1.50) 1.31 (1.52) 0.83 (1.35) 1.14 (1.46)<br />

9. M 9 0.64 (1.28) 0.77 (1.33) 0.52 (1.23) 0.44 (1.20) 0.59 (1.26)<br />

10. M 10 0.92 (1.39) 1.63 (1.62) 1.81 (1.68) 0.90 (1.38) 1.32 (1.52)<br />

11. M 11 1.27 (1.51) 1.90 (1.70) 1.99 (1.73) 1.94 (1.71) 1.78 (1.67)<br />

S.E. ±<br />

C.D. at 5%<br />

0.03<br />

0.07<br />

*Figures in parentheses are n 1 transformations<br />

0.03<br />

0.07<br />

0.04<br />

0.12<br />

0.05<br />

0.13<br />

0.03<br />

0.07<br />

with 0.05 per cent endosulfan 35 EC was offered longer<br />

protection to the tomato crop from infestation of leaf miner<br />

even upto 14 days of treatment. The modules consisted of<br />

treatments with azadirachtin 1500 ppm @ 2 ml l -1 and goneem<br />

5 ml l -1 were also found effective in management of leaf miner<br />

infesting tomato. The mean larval population within treatments<br />

varied between 0.44 to 0.91. The maximum mean larval<br />

population of 1.94 was recorded in untreated control.<br />

The present findings about effectiveness of endosulfan<br />

against tomato leaf miner confirm the results of Kumar and<br />

Kotikal, 2006. Effectiveness of neem products against tomato<br />

leaf miner has been reported by many workers, azadirachtin<br />

Sushil, et al., 2006, NSKE and neemazal Choudhary and<br />

Rosaiah, 2001.<br />

Relative efficacy of different IPM modules against tomato<br />

leaf miner, L. trifolii<br />

The studies on overall efficacy of treatments (Table 2)<br />

indicated that among the various options used the treatment<br />

with chemical insecticides were significantly superior over<br />

other treatments including control at each spray. The<br />

cumulative effect of all the sprays also indicated that the module<br />

M 9<br />

composed of chemical insecticides used in all four sprays<br />

was significantly superior over other modules and recorded<br />

lowest number of leaf miner larvae (0.59per leaf). However, the<br />

module M 5<br />

(0.005 per cent Lamda cyhalothrin followed by B.<br />

bassiana @ 1.25 kg ha -1 followed by 0.0009 per cent abamectin<br />

followed by azadirachtin 1500 ppm @ 2 ml l -1 in four sprays,<br />

respectively), module M 6<br />

(0.005 per cent Lamda cyhalothrin<br />

followed by 0.0009 per cent abamectin followed by HaNPV @<br />

0.5 l ha -1 followed by azadirachtin 1500 ppm @ 2 ml l -1 in four<br />

sprays, respectively), module M 4<br />

(0.0045 per cent Imidacloprid<br />

followed by B. thuringiensis @ 1kg ha -1 followed by 0.015 per<br />

cent Diflubenzuron followed by goneem @ 5 ml l -1 in four<br />

sprays, respectively) and module M 7<br />

(0.004 per cent<br />

Acetamiprid followed by 0.0009 per cent abamectin followed<br />

by B. thuringiensis @ 1kg ha -1 followed by goneem @ 5 ml l -<br />

1<br />

in four sprays, respectively) composed of alternate spray of<br />

chemical and biopesticides have also recorded nearly same<br />

larval population (0.79, 0.81, 0.84 and 0.85per leaf) and<br />

comparable with module M 9<br />

.<br />

Above results revealed that integrated approach<br />

consisting of alternate use of chemical pesticides,<br />

biopesticides and botanicals for management of leaf miner<br />

infesting tomato can be effectively adopted with minimum<br />

damage to the environment.<br />

LITERATURE CITED<br />

Choudary, D.P.R., Rosaiah, B. 2001. Evaluation of different Insecticides<br />

against serpentine leaf miner Liriomyza trifolii (Burgess)<br />

(Agromyzidae: Diptera) on tomato. Pestology, 25(2): 37-39.<br />

Eswarareddy, S.G., Krishnakumar, N.K., Shivakumar, B. and<br />

Krishnamoorthy, P.N. 2004. Efficacy of abamectin (Vertimec<br />

1.9EC) against serpentine leafminer Liriomyza trifolii (Burgess) on<br />

tomato. Pestology, 28(8): 17-19.<br />

Galande, S.M. 2001. Studies on bio-ecology and management of<br />

serpentine leaf miner Liriomyza trifolii (Burgess) on tomato and<br />

cucumber. Ph.D. (Agri.) Thesis submitted to M.P.K.V. Rahuri (India).<br />

Kumar, P. and Kotikal, Y.K. 2006. Bioefficacy of Vertimec 1.9EC<br />

against leaf miner in tomato. Pestology, 30(6): 41-43.<br />

Lal, O.P. and Lal, S.K. 1996. Failure of control measures against<br />

Helicoverpa armigera (Hub.) infesting tomato in heavy pesticide<br />

application areas in Delhi and satellite towns in western Uttar<br />

Pradesh and Haryana (India). J. Ent. Res., 20(4): 355-364.<br />

Naitam, N.R. and Dorak, S.V. and Wase, V.S. 1999. Bioefficacy of<br />

lamdacyhalothrin for the control of pests of tomato. Pest<br />

management in Horticultural Ecosystem, 3(2): 151-153.<br />

Sushil, S.N., Mohan, M., Hooda, K.S., Bhatt, J.C. and Gupta, H.S. 2006.<br />

Efficacy of safer management tools against major insect pests of<br />

tomato and garden pea in northwest Himalayas. J. Biol. Control,<br />

20(2): 113-118.<br />

Recieved on 14-05-<strong>2012</strong> Accepted on 10-09-<strong>2012</strong>


Trends in Biosciences 5 (3): 191-195, <strong>2012</strong><br />

Association of ABO Blood Groups with Lipid Profile and the Level of Oxidative<br />

Stress in Hypertensive Patients<br />

SHAL<strong>IN</strong>I KAPOOR 1 , RAJESH KUMAR 2 AND NEERAJ ARORA 3<br />

1<br />

Department of Biochemistry, Rama Dental College, Hospital and Research Centre, Kanpur<br />

2<br />

Institute of Life Sciences Chhatrapati Shahu Ji Maharaj University, Kanpur<br />

3<br />

L.P.S. The Institute of Cardiology, Kanpur<br />

3<br />

e-mail: kapoorshalini37@yahoo.in<br />

ABSTRACT<br />

A case control study was undertaken to find out a possible<br />

relationship of ABO blood groups with serum triglyerides<br />

(TGs), total cholesterol (TC), low density lipoprotein cholesterol<br />

(LDL-C), high density lipoprotein cholesterol (HDL-C), very<br />

low density lipoprotein cholesterol (VLDL-C) and the level of<br />

oxidative stress in 60 patients with essential hypertension (SBP<br />

> 140, DBP > 90) of age group between (45 - 65 years) which<br />

were compared with 60 normal healthy controls. The results<br />

showed significantly elevated levels serum TGs, TC, LDL-C<br />

and VLDL-C and lipid peroxide (LPO) content in patients with<br />

antigen A and B (B+AB) along with decreased levels of HDL-C.<br />

A significant positive correlation between serum TGs and TC<br />

with LPO was observed in group A (r=0.62, P


192 Trends in Biosciences 5 (3), <strong>2012</strong><br />

used for the estimation of lipid profile using standard<br />

diagnostic kits. LDL-C and VLDL-C was calculated by applying<br />

Friedwald’s formula. Thiobarbituric Acid Test (TBA) was used<br />

for the estimation of LPO in plasma (Ohkawa, et al., 1979).<br />

Platelet count was determined with the help of Neubauer’s<br />

chamber.<br />

Statistical analysis was done by applying unpaired<br />

students t-test Karl Pearsons coefficient of correlation was<br />

used to findout the correlation between two parameters.<br />

RESULTS AND DISCUSSION<br />

Anthropometric and blood biochemical parameters of<br />

normal healthy and hypertensive patients of group A, B, AB<br />

and O are compared in Table 1.There was significant increase<br />

in BMI in group A (P


KAPOOR, et al., Association of ABO Blood Groups with Lipid Profile and the Level of Oxidative Stress 193<br />

also reported increased plasma lipid peroxides in hypertensive<br />

patients (Armas Padilla, et al., 2007, Vaziri, et al., 1998). An<br />

imbalance between reactive oxygen species and antioxidant<br />

reserve referred to as oxidative stress producing an excess of<br />

ROS/RNS mainly superoxide anions and this could result in<br />

altered structure and function of protein, lipids and DNA<br />

associated with hypertension (Halliwell, et al., 1989). An excess<br />

of oxidative stress is also known to play an aberrant role in<br />

the initiation and progression of microvascular complication<br />

and this may be involved with their pathogenic role in arterial<br />

damage related to essential hypertension. Furthermore<br />

evidence exists which appears to indicate that those who carry<br />

a B antigen (blood group B and AB) have some difficulty in<br />

regulating the activity of nitric oxide. It has been reported hat<br />

anti-B antibody helps NO in working and this might be possible<br />

because of some unknown gene associated with the ABO<br />

locus on chromosome ‘9Q34’ and would be influenced by<br />

ABO genetics.<br />

Excess of ROS and cluster of proteins in different blood<br />

groups may also interrupt the biosynthesis and availability of<br />

NO in hypertensive subjects by interfering with the cofactors<br />

BH 4<br />

of endothelial NOS or destabilizing the enzyme co-factor<br />

Zn-thiolate (Zn(Cys) 4<br />

). As a result the enzyme becomes<br />

uncoupled and produce superoxide anion rather than NO<br />

(Vasquez–vivar, et al., 1999, Stores, et al.,1998). Oxidative<br />

stress can modify the scaffolding property of structural protein<br />

and decreased activity of uncoupling protein could be<br />

involved in the inactivation of scavenging enzymes and<br />

occurrence of cardiovascular diseases in these patient and<br />

this could be mediated by tyrosine kinases, phosphatases,<br />

protein kinase, protein and transcriptional factors (Mattiason<br />

and Sullian, 2006, Touz, et al.,2003) which play an important<br />

role in normal function but can also lead to remodeling of the<br />

vascular wall increasing high vascular reactivity and<br />

hypertension in particular blood group.<br />

In earlier study it is reported (Kapoor, et al., 2010)<br />

suppressed activity of Superoxide dismutase, Catalase and<br />

reduced glutathione in hypertensive patients associated with<br />

greater than normal lipid peroxidation predominantly in Group<br />

A, B & AB could be due to involvement of glycoprotiens<br />

present on the terminal of the basic fucose structure of red<br />

blood cell antigen.<br />

It has been reported that some genetic predispositions<br />

promote the development of coronary heart disease and found<br />

a novel association at the ABO locus which was attributable<br />

to the glycosyl tranferase deficient enzymes that encodes the<br />

group O phenotype which seems to protect against heart<br />

diseases (Carapeggiani, et al., 2010).<br />

The data presented in Table 2 indicates significantly<br />

increased (P


194 Trends in Biosciences 5 (3), <strong>2012</strong><br />

al., 1994). Lithell, et al., 1981 suggested that in patients with<br />

essential hypertension the occurrence of dyslipidemia may<br />

impair the vasodilatory function which results in the loss of<br />

small blood vessel density and surface area (rarefaction) and<br />

this patho-physiological alteration suppress the activity of<br />

the enzyme lipoprotein lipase which are expressed on the<br />

endothelium at the vascular lumen surface and responsible<br />

for the catabolism of triglycerides. The other reason for the<br />

high level of serum lipid (TG and TC) in group A individuals<br />

could be the influence of red-cell antigen on the enzyme<br />

alkaline phosphatase which is manufactured in the small<br />

intestine and has the primary function of splitting dietary fats<br />

and cholesterol esters (Bayer, et al., 1980). It has been found<br />

that the red cells of blood group A and AB binds almost all<br />

intestinal alkaline phosphatase and this effect in group B or O<br />

was seen to a much lesser degree and this is in an accordance<br />

with the fact that intestinal alkaline phosphatase has shown<br />

to be found more frequently in individuals of blood group B<br />

and O than in group A and AB. Thus it seems likely that lower<br />

levels of this enzyme in blood group A and AB individuals<br />

may inactivate intestinal alkaline phosphatase or A antigen<br />

itself inactivate this enzyme or ABO gene might influence the<br />

rate at which the intestinal alkaline phosphatase enter the<br />

blood or its metabolism in the intestine may provide a lead to<br />

their role in the elevation and deposition of lipids in blood<br />

and generation of cardiovascular disease in them (Nakata and<br />

Tozava, 1995 and Domar, et al., 1991). Furthermore we have<br />

observed significant increase in serum TC, LDL-C and VLDL-<br />

C in all the hypertensives predominately in blood group A<br />

patients when compared with normal healthy. However the<br />

level of TC in HDL was found decreased. Our results are similar<br />

to that of previous observations where individuals with blood<br />

group A were linked with having higher serum TC<br />

concentration and were at higher risk of heart diseases<br />

(Whincup, et al., 1990).<br />

The studies carried out by other authors in hypertensive<br />

subjects also found increased level of TC and LDL-C in<br />

hypertensive male subjects with blood group A. A number of<br />

studies by several workers have found a significant association<br />

of elevated cholesterol and hypertension in group A<br />

individuals and suggested that blood group phenotype<br />

represent an important biophysio-pathological action in regard<br />

to cardiac consequences in hypertensive males only<br />

(Robinson, et al., 2004).<br />

As it is earlier reported that the concentration of LDL-C<br />

and VLDL-C were predominately elevated in group A patient<br />

and there increased concentration may cause uncoupling of<br />

eNOS, activation of NADPH oxidase and consequently<br />

increased production of superoxide anions in the vessel wall<br />

which leads to increased oxidative stress. Increased levels of<br />

superoxide anions combines with NO and forms peroxinitrite,<br />

contributes to endothelial dysfunction (Prior and Squadreto;<br />

1995) and increased risk of cardiovascular diseases in them<br />

and this is true as we have also observed increased oxidative<br />

stress in group A and B patients. There was significant positive<br />

correlation found between serum TGs and TC with lipid<br />

peroxides in group A (r=+0.62; P < 0.01, r = +0.52, P < 0.05), B<br />

(r = +0.28, P < 0.10, r = + 0.46, P < 0.05) and AB (r = + 0.0.18, r =<br />

+0.28, P < 0.10) whereas in group O, TG was found to be<br />

negatively correlated and TC was positively correlated with<br />

lipid peroxide (r = -0.12; r = -0.10, P < 0.10)<br />

Elevated levels of harmful cholesterol in LDL and VLDL<br />

may lead to the development of atherosclerosis and free<br />

radicals are known to be involved with the process of<br />

atherogenesis forming lipid rich atherosclerotic plaque leading<br />

to hardening of coronary arteries, obstruction of the carotid<br />

artery, peripheral artery disease that all may contribute to MI<br />

or sudden death. Since all these disorders have been shown<br />

higher rates of occurrence in blood group A individuals, might<br />

be due to hyperlipoprotenemia causing oxidative degradation,<br />

formation of peroxides and free radicals causing injuries and<br />

erosions in the wall of vessels and atherosclerosis. LDL-C<br />

may be modified by oxidative processes and may initiate the<br />

peroxidation with long chain PUFA giving rise to lipid peroxy<br />

radicals (LOO·) which is a self propagating reaction and can<br />

attack adjacent fatty acid until complete fragmentation of fatty<br />

acids occur and there is accumulation of highly reactive<br />

products like lipid peroxides and lysophosphatides in the LDL<br />

particle (Assadpoor Piranfar, et al., 2009 and Maharajan, et<br />

al., 2008).<br />

Hypertension associated with lipid abnormalities like<br />

elevated levels of serum total cholesterol & triglycerides and<br />

increased lipid peroxidation may synergestically affect<br />

coronary endothelial function in group A, B and AB patients.<br />

The patients with blood group O containing no specific<br />

antigen are more protected against oxidative stress.<br />

ACKNOWLEDGEMENT<br />

The author is grateful to Dr. S.L. Shyam, Dr. Kripa<br />

Shankar and Dr. Ramesh Chander for guidance and<br />

encouragement and also thankful to the Director Rama Dental<br />

& Medical College, Kanpur for encouragement.<br />

LITERATURE CITED<br />

Armas Padilla, M.C., Armas–Hernandez, M.J., Garvajal, A.R., Hernandez<br />

-Hernandez, R., Israili, Z.H. and Valasca, M. 2007. Nitric oxide and<br />

Malondialdehyde in human hypertension Am J. Ther, 14(2): 172-<br />

6.<br />

Assadpoor–Piranfar, M., Pordal, H.A. and Beyranvand, R.M. 2009.<br />

Measurement of oxidized low-density lipoprotein and superoxide<br />

dismutase activity in patients with hypertension. Archives of Iranian<br />

Medicine, 12(2): 116-120.<br />

Bayer, P.M., Hotswchek, H., Knoth, E. 1980, Intestinal alkaline<br />

phosphatase and the ABO blood group system – a new aspect.<br />

Clinica Chimica Acta, 108(1): 81-87.<br />

Bhattacharya, S., Ganaraja, B., and Bhatt, P.M. 2010. Correlation


KAPOOR, et al., Association of ABO Blood Groups with Lipid Profile and the Level of Oxidative Stress 195<br />

between the blood groups, BMI and Pre-hypertension among medical<br />

students. Journal of Chinese Clinical Medicine, 5(2): 2.<br />

Carpeggiani, C., Coaceani, M. , Landi. P., Michelassi, C., Labbat, A.<br />

2010. ABO Blood group alleles : A risk factor for coronary artery<br />

disease, An angiographic study. Atherosclerosis, 20: 1059.<br />

Contiero, E., Chinello, G.E., Folin, M. 1994. Serum Lipids and<br />

lipoproteins associations with ABO blood groups. Anthropologescher<br />

Anzeiger, 52(3): 221-30.<br />

Domar, U., Hiran, K., Stigbrand, T. 1991. Serum levels of human alkaline<br />

phosphatase isoenzymes in relations to blood groups. Clinica Chinica<br />

Acta, 203(2-3): 305-313.<br />

Good, D., Morsa, S.A., Ventura, H.O. 2 and Risin, F. 2008. Obesity,<br />

hypertension and the heart. Journal of Cardio Metabolic syndrome,<br />

3(3): 168-172.<br />

Halliwell, B., Gutteridge, J.M.C. and Cross, C.E. 1992. Free radicals<br />

antioxidants and human disease. Where are we now? Journal of<br />

Laboratory Clinical Medicine, 119: 598-620.<br />

Kapoor S, Kumar R, Arora N 2010. Association of blood groups with<br />

scavenging enzymes and the level of oxidative stress in male<br />

hypertensive patients. The Indian Journal of Bio Research, 8(4):<br />

382-393.<br />

Kim. J.R., Kiefe, C.I., Liu, K., Williams, O.D. Jacobs, D. Rand Uberman,<br />

A. 1999. Heart rate and subsequent blood pressure in young adults :<br />

The CARDIA Study. Hypertension, 33: 640-6.<br />

Lithell, H., Lingard, F., Hellsing, K., Lundqvist, G. Nygard, E., Verssby,<br />

B., Saltin, B. 1981. Body weight, Skeletal muscle, morphology and<br />

enzyme activities in relation to fasing serum insulin concentration<br />

and glucose tolerance in 48 year old men. Diabetes, 30: 19-25.<br />

Maharajan, R.B., Zha, J.C., Vishwanath, P. Alurkar, M. V. and singh,<br />

P.P. 2008. Oxidant – antioxidant status and lipid profile in the<br />

hypertensive patients. Journal of Nepal Health Research Council,<br />

6(2): 63-68.<br />

Mattiason, G, and Sullivan, P.G. 2006. The emerging functions of UCP2<br />

in health disease and therapeutics. Antioxidant redox signal, 8(1-<br />

2): 1-38.<br />

Nakata, N., Tozawa, T. 1995. The ABO blood groups dependent<br />

reference intervals for serum alkaline phosphatase, isoenzyme total<br />

activity in individual 20–39 years of age. Rinsho Byori, 43(5):<br />

508-512.<br />

Ohkawa, H, Ohishi, N., Yagi, K. 1979. Assay of lipid peroxides in<br />

animal tissues by thio barbituric acid reaction. Analytical<br />

Biochemistry, 95: 351-58.<br />

Prior, W.A. and Squadreto, G.L. 1995. The Chemistry of Peroxynitrite:<br />

a product from the reactions of nitric oxide and superoxide.<br />

American Journal of Physiology, 2687–L 699–L 722.<br />

Robinson, M.T., Wilson, T.W. and Nicholson, G.A., 2004 b. AGT and<br />

Rh Blood group polymorphisms affect blood pressure and lipids in<br />

afro – carabbians. Journal of Human Hypertension, 18: 351-363.<br />

Selby, J.V., Newman, B., Quiroga, J., Christian, J.C., Ausin, M.A. Fabstiz,<br />

R.R. 2011, Concordnace for dyslipidemic hypertension in male<br />

twins. JAMA, 265: 2079-84.<br />

Stores, E., Hizmering, M., Vanzandvoort, M., Weverfablink, T.J. and<br />

Van Faasin, E.E. 1998. Origining of superoxide production by<br />

endothelial nitric oxide synthase. The Federation of European Bio<br />

Chemical Societies Letter., 438: 161-4.<br />

Touz, R.M., Tabet, F. and Schiffen, E.L. 2003. Redox–dependent<br />

signaling by angiotensin–II Vascular remodeling in hypertension.<br />

Clinical Experimental Pharmacology and Physiology, 30: 860-<br />

866.<br />

Vasquez – vivar, J. Hogg, I.V., Martasek, P., Karoui, H., Prit Chard,<br />

K.A. and Kalyanaraman, B. 1999. Tetrahydrobiopterin dependent<br />

inhibition of Superoxide generation from neuronal nitric oxide<br />

Synthase. Journal of Biological Chemistry, 274: 26736-42.<br />

Vaziri, N.D., Oveisi, F. and Ding, Y. 1998. Role of uncaused oxygen free<br />

radical activity in the pathogenesis of uremic hypertension. Kidney<br />

International, 53(6): 1745-54.<br />

Weidmann, P, Coustin, M., Bochlen, L. and Shan, S. 1993. The<br />

Pathogenesis of hypertension in obese subjects. Drugs, 46(2): 197-<br />

208.<br />

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blood group and ischemic heart disease in British Men. British<br />

Medical Journal, 300(6741): 1679-1682.<br />

Recieved on 16-05-<strong>2012</strong> Accepted on 20-09-<strong>2012</strong>


Trends in Biosciences 5 (3): 196-198, <strong>2012</strong><br />

Effect of Feeding Mixed Leaves of Different Mulberry Varieties on Economic Traits<br />

of Silk Worm Bombyx mori L.<br />

G.B. DURANDE, R.S. GADE, R.N. JAGTAP AND D.S. TAYADE<br />

Department of Agricultural Entomology, College of Agriculture, Latur 413 512, (Marathwada Agricultural<br />

University, Parbhani) Maharashtra<br />

ABSTRACT<br />

All the economic traits of silkworm viz., larval weight (39.10 g),<br />

larval duration (22.83 days), pupal duration (10.22 days), cocoon<br />

weight (1.80 g), cocoon yield (17.35 kg), filament length (872<br />

m), filament weight (0.26g) and moth emergence percentage<br />

(95.33) were found to be superior in case of those larvae which<br />

were reared on 100 % leaves of V 1, S 1635 and mixed feed of<br />

50% leaves of V 1 and 50% leaves of S 1635. Hence the varieties<br />

V 1 and S 1635 are used for increasing silk yield and improving<br />

all the economic characters of mulberry silkworm. While All<br />

the economic traits of silkworm viz., larval weight (34.83 g),<br />

larval duration (28.46 days), pupal duration (11.35 days), cocoon<br />

weight (1.32 g), cocoon yield (13.60 kg), filament length (688<br />

m), filament weight (0.22 g) and moth emergence percentage<br />

(84.66) were found to be inferior in case of those larvae which<br />

were reared on 100% leaves of M 5. Thus the variety M 5 was<br />

unsuitable for increasing silk yield and improving the economic<br />

characters of mulberry silkworm.<br />

Key words<br />

Larval duration, pupal duration, moth emergence,<br />

Bombyx mori L., varietal effect<br />

Sericulture is a cottage industry par excellence. It is one<br />

of the most labour intensive sectors of the Indian economy<br />

combining both agriculture and industry, which provides for<br />

means of livelihood to a large section of the population i.e.<br />

mulberry cultivator, co-operative rearer, silkworm seed<br />

producer, farmer-cum-rearer, reeler, twister, weaver, hand<br />

spinners of silk waste, traders, etc. It is the only one cash crop<br />

in agriculture sectors that gives returns within 30 days.<br />

One hectare of land under mulberry in terms of<br />

productivity yields Rs. 80,000 worth of silk, which is quite<br />

attractive compared to the other commercial crops. In addition,<br />

it creates employment to 12-13 persons annually in mulberry<br />

cultivation, silkworm related activity (Meenakshisundaram,<br />

1983).<br />

Nutritional quality of leaves play vital role in the robust<br />

growth of silkworm larvae and improving the commercial<br />

characters of cocoon as well as in the reproductive<br />

performance (Yokayama, 1962; Krishnaswami, et al., 1970;<br />

Takano and Arai, 1978, Li and Sano, 1987). The major leaf<br />

components such as nitrogen and water content decide largely<br />

the growth of an insect and hamper the optimal growth (Hough<br />

and Pimental, 1978). The term quality leaf refers to the presence<br />

of constituents in required quantity in the leaf for proper<br />

growth and development of silkworm resulting in production<br />

of good quality cocoons.<br />

MATERIALS AND METHODS<br />

The experiment was conducted in a Randomised Block<br />

Design (RBD) with seven treatments and three replications at<br />

Department of Entomology, College of Agriculture, Latur.<br />

Disease free laying of silkworm hybrid race PM X CSR 2<br />

were<br />

used to feed on the leaves of three different mulberry varieties<br />

viz., V 1, S 1635, M 5 and their mixed leaves, ten disease free<br />

laying’s (dfl’s) of race PM X CSR 2<br />

were reared in the laboratory<br />

by adopting the technology suggested by Krishnaswami,<br />

1978. During early larval stage mass rearing was done. The<br />

larvae after emerging out of second moult were distributed<br />

into three replications. Each replications consituted of 100<br />

worms. The equal quantity of food on the basis of weight as<br />

per treatment was given to the larvae for feeding. The chopped<br />

mulberry leaves were fed to the larvae at 6, 10, 16 and 21 hours<br />

in a day. The rearing trays reshuffled daily within a treatment<br />

and were cleaned daily.<br />

The total larval period (days) was measured by<br />

recording the period from hatching to the of spinning; larval<br />

weight by taking the weight of randomly selected 10 matured<br />

larvae before the onset of spinning and pupal period (days)<br />

was measured by recording the period from spinning to the<br />

emergence of moth.<br />

RESULTS AND DISCUSSION<br />

Data presented in Table 1 revealed that the larval weight<br />

of mulberry silkworm varied from 34.83 to 39.10 g on leaves of<br />

mulberry variety VI. Patil, 2004 and Gawade, 2006 reported the<br />

larval weight of mulberry silkworm to the tune of 34.80 and<br />

40.78 g respectively when grown on the leaves of mulberry<br />

variety, V 1. The present findings in respect of larval weight<br />

are more or less in conformity with the findings of above<br />

mentioned workers.<br />

Larval duration was observed in the range of 22.83 to<br />

28.46 days. The variety S 1635 (22.83 days) recorded<br />

significantly lowest larval duration over rest of the treatments<br />

excepting V 1 (23.36 days) and mixed leaves of S 1635( 50%) +<br />

V 1 (50%) (23.66 days). Significantly, the highest larval duration<br />

was recorded by larvae fed on leaves of M 5 (28.46 days).<br />

Patil, 2004 and Gawade, 2006 reported the larval duration of


DURANDE et al., Effect of feeding mixed leaves of different mulberry varieties on economic traits of silk worm 197<br />

mulberry silkworm to the tune of 22.36 and 22.23 days<br />

respectively when grown on the leaves of mulberry variety V<br />

1. The present findings in respect of larval weight are more or<br />

less in conformity with the findings of above mentioned<br />

workers.<br />

Pupal duration was observed in the range of 10.22 to<br />

11.35 days. The variety, S 1635 (10.22 days) recorded<br />

significantly lowest pupal duration over rest of the treatments,<br />

excepting V 1 (10.24 days) and mixed leaves of S 1635+V 1<br />

(50%+50%) (10.32 days). However, they were at par with each<br />

other. Longest pupal duration was recorded by larvae fed on<br />

leaves of M 5 (11.35 days). Gaaboub, et al., 1977 reported<br />

shortened and lengthened pupal duration of Pure Mysore<br />

and bivoltine hybrid NB 7<br />

xD 18<br />

silkworm to the extent of 10.50<br />

and 12.58 days when their larval stages were fed on the leaves<br />

of mulberry. The corresponding values on S 54 and Kanva<br />

2+S 54 reported by Telang, 1990 were 11.50 and 12.08 days.<br />

Individual cocoon weight of silkworm B. mori varied<br />

from 1.32 to 1.80 g. Significantly the cocoon weight was<br />

recorded by the larvae fed on leaves of V 1 (1.80 g) and S-1635<br />

(1.80 g). Significantly the lowest cocoon weight was recorded<br />

by larvae fed on leaves of M 5 (1.32 g). Anonymous, 2001<br />

recorded single cocoon weight to the tune of 1.065 g when<br />

larva were fed on leaves of variety, V 1. Patil, 2004 and Gawade,<br />

2006 recorded cocoon weight of mulberry silkworm to the<br />

tune of 2.22g and 2.12g respectively when grown on the<br />

leaves of variety V 1. The present findings are more or less in<br />

agreement with the findings of Anonymous, 2001; Patil, 2004<br />

and Gawade, 2006.<br />

Cocoon yield per 10,000 larvae brushed varied from 13.60<br />

to 17.35 kg. Significantly the highest cocoon yield was obtained<br />

by feeding the leaves of variety V 1 (17.35kg) followed by S<br />

1635 (17.33 kg) and mixed leaves of S 1635+V 1 (50%+50%)<br />

(17.13 kg). However, they were at par with each other . Whereas,<br />

significantly the lowest cocoon yield was obtained from larvae<br />

fed on leaves of M 5 (13.60 kg). Anonymous, 2001 also<br />

recorded cocoon yield of silkworm to the tune of 18.13 kg<br />

when its larval stage were fed on leaves of variety V 1. The<br />

present findings corroborate with the findings of Anonymous,<br />

2001.<br />

Cocoon filament length of mulberry silkworm ranged<br />

from 688 to 872 m. Significantly the longest filament was<br />

recorded by those cocoons whose larval stage were fed on<br />

leaves of variety V 1 (872 m) followed by S 1635 (867 m).<br />

Whereas, the shortest cocoon filament length recorded in the<br />

case of those larvae which were fed on leaves of M 5 (688 m).<br />

Gawade, 2006 recorded the cocoon filament length of mulberry<br />

silkworm to the extent of 866.67 m when its larval stage was<br />

reared on the leaves of mulberry variety V 1. The present<br />

findings are in conformity his findings.<br />

Cocoon filament weight of silkworm ranged from 0.22 to<br />

0.26 g. Significantly the highest filament weight to the tune of<br />

0.26 g was recorded by those cocoons whose larval stage<br />

were fed on leaves of varieties viz., V 1, S 1635 , mixed leaves<br />

of S 1635+V 1 (50%+50%) (0.26 g) and mixed leaves of M 5+V<br />

1+S 1635 in equal proportion. Whereas, the lowest cocoon<br />

filament weight was recorded by cocoons whose larval stage<br />

were fed on leaves of M 5 (0.22 g). Singh and Raghuvanshi,<br />

2005 recorded the highest silk filament weight to the extent of<br />

0.26 g when the larvae of bi-voltine silkworm NB 4<br />

D 2<br />

x KA were<br />

fed on mulberry leaves treated with 2 per cent urea.<br />

The emergence of silkmoth varied from 84.66 to 95.33<br />

per cent. Significantly the highest moth emergence was<br />

observed due to larvae fed on leaves of variety V 1 (95.33 per<br />

cent) followed by S 1635 (95.00 per cent). Significantly the<br />

lowest moth emergence was observed in case of those larvae<br />

which were reared on leaves of M 5 (84.66 per cent). Tayade,<br />

1983 reported 80 per cent emergence of moths of different races<br />

of mulberry silkworm when grown on leaves of mulberry<br />

variety, during September to October.<br />

Table 1.<br />

Effect of feeding mixed leaves of different mulberry varieties on different economic traits of silkworm<br />

Bombyx mori L.<br />

Sr.<br />

No.<br />

Treatment Weight of<br />

full grown<br />

larvae (g)<br />

Larval<br />

duration<br />

(days)<br />

Pupal<br />

duration<br />

(days)<br />

Single<br />

cocoon<br />

weight (g)<br />

Yield per<br />

10,000 larvae<br />

brushed (kg)<br />

Filament<br />

length<br />

(m)<br />

Filament<br />

weight<br />

(g)<br />

Moth<br />

emergence<br />

(%)<br />

1 M 5 (100%) 34.83 28.46 11.35 1.32 13.60 688 0.22 84.66 (66.94)<br />

2 V 1 (100%) 39.10 23.36 10.24 1.80 17.35 872 0.26 95.33 (77.52)<br />

3 S 1635 (100%) 38.60 22.83 10.22 1.80 17.33 867 0.26 95.00 (77.08)<br />

4<br />

M 5+V 1<br />

36.00 26.26 10.50 1.48 14.66 728 0.23 89.67 (71.25)<br />

(50%+50%)<br />

5<br />

S 1635+V 1<br />

38.54 23.66 10.32 1.74 17.13 858 0.26 92.00 (73.57)<br />

(50%+50%)<br />

6<br />

M 5+S 1635<br />

35.50 27.10 10.88 1.42 14.03 705 0.23 89.00 (70.63)<br />

(50%+50%)<br />

7<br />

M 5+V 1+S 1635 36.33 25.92 10.38 1.74 15.26 857 0.26 91.00 (72.54)<br />

(in equal proportion)<br />

S.E.± 0.21 0.30 0.03 0.02 0.08 3.3 0.003 1.1<br />

C.D. at 5% 0.63 0.91 0.09 0.06 0.24 10.3 0.009 3.3<br />

*Figure in parenthesis indicate arcsine transformed values


198 Trends in Biosciences 5 (3), <strong>2012</strong><br />

LITERATURE CITED<br />

Anonymous. 2001. Evaluation of mulberry varieties for rearing<br />

performance and economic traits of silkworm Bombyx mori L.<br />

Annual Report, Sericulture Research Unit, Marathwada Agricultural<br />

University, Parbhani. pp.8-10.<br />

Gaaboub, I.A., Rawash, I.A. and Mostafa, S.M. 1977. Studies of some<br />

factors affecting the output of silk in Bombyx mori L. (Lepidoptera:<br />

Bombycidae).<br />

Gawade, B.V. 2006. Evaluation of mulberry varieties for rearing<br />

performance and their different economic traits on silkworm<br />

(Bombyx mori). M.Sc. (Agri.) Thesis, Marathwada Agricultural<br />

University, Parbhani.<br />

Hough, J.A. and Pimental, D. 1978. Influence of host foliage on<br />

development, survival and fecundity of gypsy moth. Environ.<br />

Entomol., 7: 97-102.<br />

Krishnaswami, S., Asan, M. and Sridharan, T.D. 1970. Studies on the<br />

quality of mulberry leaves and silkworm cocoon crop production.<br />

Indian J. Seri., 9(1): 11-25.<br />

Krishnaswami, S. 1978. New technology of silkworm rearing. Bull.<br />

No. 3, CSR and TI, Mysore.<br />

Li, R. and Sano, X. 1987.The relationship between quality of mulberry<br />

Leaves and some economic characterrs during the later larval<br />

stage.Acta Sericologia Sinica (Canye Kexue), 10:196-201.<br />

Meenakshisundaram, S.S. 1983. Intensifying field oriented research: A<br />

must. Indian Silk, 21(2):3-8.<br />

Patil, S.N. 2004. Evaluation of mulberry varieties for rearing<br />

performance and their different economic traits on silkworm<br />

(Bombyx mori). M.Sc. (Agri.) Thesis, Marathwada Agricultural<br />

University, Parbhani.<br />

Singh, R.P. and Raghuvanshi, A.K. 2005. Studies on effects of urea<br />

sprayed mulberry leaves feeding on growth and development of<br />

Bombyx mori L. Multivoltine race Nistari and Bivoltine race NB 4<br />

D 2<br />

xKA. Indian J. Ent., 67(1): 48-52.<br />

Takano, K and Arai, N. 1978. Studies on food value on the basis of<br />

feeding and cocoon productivity in the silkworm Bombyx mori L<br />

The amount of food intake and cocoon productivity. J. Seric. Sci.<br />

Jpn., 47(2): 134-142.<br />

Tayade, D.S. 1983. Studies on the feasibility and profitability of<br />

mulberry silkworm Bombyx mori L. under marathwada conditions.<br />

Res. Bull. Marathwada Agricultural University, Parbhani.<br />

Telang, S.M. 1990. Effect of mixed mulberry leaves of different varieties<br />

on growth and development of silkworm.Bombyx mori L. M.Sc.<br />

(Agri.) Thesis, MAU, Parbhani.<br />

Yokayama, T. 1962. Synthesized Science of sericulture. Central Silk<br />

Board. Banglore, India, pp.273-274.<br />

Recieved on 19-05-<strong>2012</strong> Accepted on 18-07-<strong>2012</strong>


Trends in Biosciences 5 (3): 199-201, <strong>2012</strong><br />

Ecofriendly Approach for the Management of Shoot and Fruit Borer, Earias vittella<br />

(Fab.) on Okra in Allahabad (UP)<br />

K.P. TULANKAR 1 , A.D. GONDE 2, R.K. WARGANTIWAR, A. KUMAR AND P.S. BURANGE 3<br />

Department of Plant Protection, Sam Hingginbottom Institute of Agriculture, Technology and Sciences,<br />

Allahabad, U.P.<br />

3<br />

Department of Entomology, Punjab Agricultural University, Ludhiana 141 004<br />

e-mail: kishortulankar890@yahoo.com, atul.dgonde111@gmail.com<br />

ABSTRACT<br />

Lowest infestation of shoot and fruit borer was observed<br />

in treatment consisting of Neem oil 1% + quinalphos 0.03%<br />

which was significantly superior over other treatments for<br />

controlling shoot and fruit borer on okra however, it was on<br />

par with quinalphos @0.06% alone. Among different<br />

combinations, NSE 5% + quinalphos 0.03%, was found next<br />

superior treatment followed by Neem leaf extract 5% +<br />

quinalphos 0.03%, Neem oil 1% , NSE @ 5%. Neem leaf<br />

extract 5% recorded significantly lower shoot and fruit<br />

infestation over control. The data on incremental cost benefit<br />

ratio of different treatments revealed that the treatment<br />

Quinalphos @ 0.06% found to be the most economically<br />

viable treatment giving highest incremental cost benefit ratio<br />

(1:11.35) and was followed by NSE 5% + quinalphos 0.03%<br />

(1:8.58) > Neem seed extract 5% (1:7.61) > Neem leaf extract<br />

5% + quinalphos 0.03% (1:7.54) > Neem oil 1% + quinalphos<br />

0.03% (1:3.74) > Neem leaf extract 5 % ( 1:2.81) > Neem<br />

oil 1% (1:1.42).<br />

Key words<br />

Abelmoschus esculentus, Earias vittella, insecticides,<br />

plant products, managment.<br />

Okra (Abelmoschus esculentus L. Moench) is attacked<br />

by several insect pest like aphids Aphis gosypii, (Glov.),<br />

jassids, Amarasca divastans (Dist.); shoot and fruit borers,<br />

Earias vittella (Fab.) and Earias insulana (Biosd.), Thrips,<br />

Thrips tabaci (Tinn), whitefly, Bemisia tabaci (Ginn.), Blister<br />

beelte (Mylabris pustulata), stem fly (Melanagromyza hibisci)<br />

and mites, Tetranychus telarius (L.) etc. (Nag and Sharma,<br />

1993).<br />

Shoot and fruit borer, Earias vittella (Fab.) and Earias<br />

insulana (Biosd.) are the most serious pests causing 57.10<br />

per cent fruit infestation and 54.04 per cent net yield loss in<br />

okra (Dubey and Ganguly, 1998). Many plant products are<br />

known to have antifeedant and insecticidal properties Among<br />

these neem products are popularly used in pest management<br />

(Singh, 2003). Efforts were made to test the different neem<br />

products for their insecticidal and antifeedant properties which<br />

may avoid toxicity problems in human beings and domestic<br />

livestock leading to development of newer non toxic<br />

insecticides.<br />

MATERIALS AND METHODS<br />

The trial was conducted at the field of Department of<br />

Plant Protection, Sam Higginbottom Institute of Agriculture,<br />

Technology and Science. Allahabad. There were eight<br />

treatments including an untreated control and each treatment<br />

was replicated thrice in the randomized black design. Three<br />

sprays were given, each at interval of 15 days. The spraying<br />

was done by using manually operated Knap-Sack sprayer.<br />

Shoot infestation<br />

The shoot borer enters into tip of growing shoot and as<br />

a result the infested shoot droops down. For recording the<br />

observations on per cent shoot infestation, the total number<br />

of shoot per plant from each treatment and the number of<br />

shoots infested were recorded at 7 days interval.<br />

Fruit infestation<br />

Five plants were randomly selected from each plot and<br />

labeled. Only the post treatment observations were recorded<br />

at 7 days interval at each pickings. For this all the marketable<br />

size fruits of these plants which had attained 8 to 10 cm in<br />

length were picked up.<br />

In order to work out per cent fruit infestation on number<br />

as well as weight basis, fruits were picked from five selected<br />

plants, they were counted and weighed. Similarly from these<br />

total fruits, the infested fruits due to fruits borer were separated<br />

out and were counted and weighted. The per cent infested<br />

fruits on number as well as weight basis were worked out by<br />

using following formulae David and Kumarswami, 1991.<br />

Number of damaged fruits<br />

Per cent fruit infestation = —––—————————— x 100<br />

Total number of fruits<br />

Weight of damaged fruits<br />

Per cent fruit damage = ————————————— x 100<br />

Total weight of fruits<br />

RESULTS AND DISCUSSION<br />

1. Mean per cent shoot infestation after first and second<br />

spray<br />

The data presented on mean per cent shoot infestation


200 Trends in Biosciences 5 (3), <strong>2012</strong><br />

is presented in (Table 1). It was revealed that the minimum<br />

1.39 to 5.18% shoot infestation after 1 st and 2 nd spray,<br />

respectively was observed in treatment combination of Neem<br />

oil 1% + quinalphos 0.03% and it was found most effective<br />

against shoot borer. This was followed by quinalphos 0.06%><br />

NSE 5% + quinalphos 0.03% > Neem leaf extract 5% +<br />

quinalphos 0.03% > neem oil 1% > NSE 5 % >NLE 5% in<br />

descending order of their effectiveness. All the treatment<br />

combinations were found significantly superior over control<br />

after both the sprays.<br />

The effectiveness of quinalphos has been reported by<br />

Prasad, et al., 2009. The effectiveness of neem oil 1% +<br />

quinalphos 0.03% against shoot and fruit borer was<br />

authenticated in the studies made by earlier researcher<br />

(Jumade, 1994; Singh, et al., 1998; Wargantiwar, et al., 2010).<br />

The findings were also in close conformity with Temurde, et<br />

al., 1992.<br />

2. Mean per cent fruit infestation after first, second and<br />

third spray<br />

Number basis<br />

Data on percent fruit infestation on number basis after<br />

first, second and third spraying Table 2 revealed that all the<br />

treatments were significantly superior over control.<br />

At 7 DAS, The minimum infestation of fruit 19.81% was<br />

found in the treatment of Neem oil 1% + quinalphos 0.03%<br />

(T 5<br />

) followed by quinalphos 0.06% (T 3<br />

) 20.96%, NSE 5% +<br />

quinalphos 0.03% (T 6<br />

) 22.04%, neem leaf extract 5% +<br />

quinalphos 0.03% (T 7<br />

) 23.76%. The least effective treatment<br />

was neem leaf extracts 5% (T 4<br />

) recording 29.86% infested fruits.<br />

Maximum (33.21%) infested fruits were observed in control.<br />

Fourteen days after spraying also, the minimum fruit<br />

infestation (19.80%) was found in the treatment consisting of<br />

Neem oil 1% + quinalphos 0.03% (T 5<br />

) followed by quinalphos<br />

@ 0.06% (T 3<br />

) (22.52%), NSE 5% + quinalphos 0.03% (T 6<br />

)<br />

(23.85%), neem leaf extract 5% + quinalphos 0.03% (T 7<br />

)<br />

(25.30%). The treatment neem leaf extracts 5% (T 4<br />

) was found<br />

least effective in all three sprays recording fruit infestation of<br />

28.23%. Maximum (33.21%) infested fruits were observed in<br />

control (water spray).<br />

Weight basis<br />

Data on average percentage fruit infestation on weight<br />

basis after first, second and third spray presented in Table 2<br />

revealed that all the treatments were significantly superior<br />

over control.<br />

At 7 DAS, The least infestation of fruit (19.90%) was<br />

found in the treatment of Neem oil 1% + quinalphos 0.03%<br />

Table 1.<br />

Mean shoot infestation (%) after first and second spray<br />

Treatment<br />

Mean per cent shoot infestation after first<br />

spraying<br />

Mean per cent shoot infestation after second<br />

spraying<br />

7 DAS 14 DAS 7 DAS 14 DAS<br />

Neem oil @ 1% 20.49 (4.52) 21.45 (4.63) 18.52 (4.30) 18.52 (4.30)<br />

Neem seed extract @ 5% 25.45 (5.04) 25.00 (5.00) 23.00 (4.79) 23.00 (4.79)<br />

Quinalphos 0.06% 5.79 (2.40) 5.55 (2.35) 5.55 (2.35) 5.55 (2.35)<br />

Neem leaf extract @ 5% 25.93 (5.09) 26.89 (5.18) 23.68 (4.86) 23.68 (4.86)<br />

Neem oil 1% + quinalphos 0.03% 1.39 (1.17) 4.00 (2.00) 5.18 (2.27) 5.18 (2.27)<br />

Neem seed extract 5% + quinalphos<br />

0.03%<br />

6.94 (2.63) 13.89 (3.72) 15.27 (3.90) 15.27 (3.90)<br />

Neem leaf extract 5% + quinalphos 0.03% 16.66 (4.08) 15.61 (3.95) 15.04 (3.87) 15.04 (3.87)<br />

Control (Water spray) 26.91 (5.18) 29.65 (5.44) 26.36 (5.13) 26.36 (5.13)<br />

`F’ test Sig. Sig. Sig. Sig.<br />

(SE)+ 0.22 0.84 0.16 0.16<br />

CD at 5% 0.47 1.81 0.35 0.35<br />

Table 2.<br />

Average percentage fruit infestation after first, second and third spraying<br />

Tr. No. Treatments<br />

Number basis<br />

Weight basis<br />

7 das 14 das 7 das 14 das<br />

T 1 Neem oil @ 1% 24.84 (4.98) 26.96 (5.19) 25.88 (5.08) 26.20 (5.11)<br />

T 2 Neem seed extract @ 5% 26.49 (5.14) 28.22 (5.31) 26.91 (5.18) 26.90 (5.18)<br />

T 3 Quinalphos @ 0.06% 20.96 (5.78) 22.52 (4.74) 21.78 (4.66) 21.22 (4.60)<br />

T 4 Neem leaf extract @ 5% 29.86 (5.46) 30.67 (5.53) 28.11 (5.30) 28.47 (5.33)<br />

T 5 Neem oil 1% + quinalphos 0.03% 19.81 (4.45) 19.80 (4.44) 19.90 (4.46) 20.66 (4.54)<br />

T 6 Neem seed extract 5% + quinalphos 0.03% 22.04 (4.69) 23.85 (4.88) 23.57 (4.85) 21.48 (4.63)<br />

T 7 Neem leaf extract 5% + quinalphos 0.03% 23.76 (4.87) 25.30 (5.02) 24.58 (4.95) 23.69 (4.86)<br />

T 8 Control (Water spray) 33.21 (5.76) 33.71 (5.80) 33.11 (5.75) 32.50 (5.70)<br />

`F’ test Sig. Sig. Sig. Sig.<br />

(SE)+ 0.10 0.12 0.12 0.14<br />

CD at 5% 0.22 0.26 0.26 0.30


Table 3.<br />

Treatments<br />

TULANKAR et al., Ecofriendly Approach for the Management of Shoot and Fruit Borer, Earias vittella (Fab.) on Okra 201<br />

Yield and incremental cost benefit ratio (ICAR) under different treatments<br />

Qty. of insecticide<br />

req. /ha for 3<br />

spray<br />

Approximate<br />

Cost of insecticide<br />

+Labour + sprayer<br />

charges<br />

(Rs)<br />

Avg. total<br />

Yield<br />

(q/ha)<br />

Increase yield<br />

over control<br />

(q/ha)<br />

Value of<br />

increased yield<br />

(Rs./ha)<br />

Approx. net<br />

profit<br />

(Rs./ha)<br />

Increamental cost<br />

benefit ratio<br />

Neem oil @ 1% 15 lit. 5475 57.00 16.62 13296 7821 1:1.42<br />

Neem seed extract @ 5% 75 kg 1350 55.33 14.53 11624 10274 1:7.61<br />

Quinalphos @ 0.06% 2.5 lit. 1675 66.66 25.86 20688 19013 1:11.35<br />

Neem leaf extract @ 5% 75 kg 1275 46.88 6.08 4864 3589 1:2.81<br />

Neem oil+quinalphos 15 lit + 1.25 lit. 5825 75.33 34.53 27624 21799 1:3.74<br />

Neem seed<br />

extract+quinalphos<br />

75 kg + 1.25 lit. 1700 61.16 20.36 16288 14588 1:8.58<br />

Neem leaf extract+quinalphos 75 kg + 1.25 lit. 1625 58.16 17.36 13888 12263 1:7.54<br />

Control (Water spray) - 40.80 - - - -<br />

(T 5<br />

) followed by quinalphos @ 0.06% (T 3<br />

) (21.78%), NSE 5%<br />

+ quinalphos 0.03% (T 6<br />

) (23.57%), neem leaf extract 5% +<br />

quinalphos 0.03% (T 7<br />

) 24.58%.The least effective treatment<br />

was Neem leaf extracts 5% (T 4<br />

) recording 28.11% infested<br />

fruit. Maximum (33.11%.) infested fruits were observed in<br />

control.<br />

Fourteen days after spray similar trend was observed.<br />

Minimum infestation of fruit 20.66% was found in the treatment<br />

consisting of Neem oil 1% + quinalphos 0.03% (T 5<br />

) followed<br />

by quinalphos @ 0.06%(T 3<br />

) (21.22%), NSE 5% + quinalphos<br />

0.03% (T 6<br />

) (21.48%), Neem leaf extract 5% + quinalphos 0.03%<br />

(T 7<br />

) (23.69%) in order of their efficacy. The treatment neem<br />

leaf extract 5% (T 4<br />

) was consistantly found least effective<br />

treatment in all three sprays recording fruit infestation of 28.47<br />

per cent. Maximum (32.50%.) nfested fruits were observed in<br />

control.<br />

The results of the present investigation are in closed<br />

conformity with those obtained by Jat and Pareek, 2001, who<br />

reported the effectiveness of neem oil 1% + quinalphos 0.03%<br />

against shoot and fruit borer infesting okra.<br />

3. Effect of different treatment on incremental cost<br />

benefit ratio (ICAR)<br />

The data in respect of incremental cost benefit ratio as<br />

influenced by various treatments are presented in Table 3. It<br />

is revealed that the amount of monetary returns in descending<br />

order were Neem oil 1% + quinalphos 0.03% (Rs. 27624/ha),<br />

Quinalphos 25 EC @ 0.06% (Rs. 20688/ha), Neem seed extract<br />

5% + quinalphos 0.03% (Rs. 16288/ha), Neem leaf extract 5% +<br />

quinalphos 0.03% (Rs. 13888/ha), Neem oil 1% (Rs.13296/ha),<br />

Neem seed extract @ 5% (11624/ha) and Neem leaf extract @<br />

5% (Rs. 4864/ha) over the control.<br />

The highest incremental cost benefit ratio was obtained<br />

in the treatment of quinalphos @ 0.06% (1:11.35) followed by<br />

NSE 5% + quinalphos 0.03% (1:8.58), Neem seed extract 5%<br />

(1:7.61), Neem leaf extract 5% + quinalphos 0.03% (1:7.54),<br />

Neem oil 1% + quinalphos 0.03% (1:3.74), neem leaf extract @<br />

5% (1:2.81) and Neem oil @ 1% (1:1.42), respectively.<br />

ACKNOWLEDGEMENT<br />

Authors are grateful to Dean and Director of Research<br />

for allotting field for research work at Central field of Sam<br />

Higginbottom Institute of Agriculture, Technology and<br />

Sciences,Allahabad.<br />

LITRATURE CITED<br />

Dubey, V.K. and Ganguly, R.N. 1998. Fruit losss in okra due to Earias<br />

vittella (Fab.). Insect Environment., 4(1): 25-26.<br />

Jumde, Y.S. 1994. Management of shoot and fruit borer, Earias vittella<br />

(Fab.) on okra with botanicals, chitin inhibitor alone and in<br />

combination with insecticides. M.Sc. Thesis (unpub.), Dr. PDKV,<br />

Akola.<br />

Jat K.L. and Pareek, B.L. 2001. Field evaluation of ecofriendly against<br />

brinjal shoot and fruit borer, Lucinodes orbonalis (Guen). Indian<br />

journal of plant protection, 29(1&2):53-56.<br />

Nag, A. and Sharma, R.K. 1993. Insect pests of Bhendi (Abelmoschus<br />

esculentus L.) and their management. Pestology, 17(9): 8-10.<br />

Prasad, R., Sathi, S.K. and Prasad, D. 2009. Bioefficacy of conventional<br />

and neem insecticides against insect pest of okra, Uttar Pradesh<br />

Journal of Zoology, 29(1): 39-43.<br />

Singh, G., Bharadwaj, S.G. and Dhaliwal, G.S. 1998. Evaluation of some<br />

pesticides for the management of fruit borer Earias spp. on okra<br />

crop. Indian Journal of Ecology, 25(2): 187-189.<br />

Singh, P.K. 2003. Control of Brinjal shoot and fruit borer Lucenodes<br />

orbonalis with antifident and insecticidal properties. Indian journal<br />

of Entomology, 65(2): 155-159.<br />

Temurde, A.M., Deshmukh, S.D., Nemade, S.B. and Khiratkar, S.D.<br />

1992. Efficacy of neemark and its combinations with other groups<br />

of insecticides against the shoot and fruit borer of brinjal Journal of<br />

soils and crops, 2(1): 29-31.<br />

Wargantiwar, R.K., Ashwani, K. and Saima, K. 2010. Bioefficacy of<br />

some botanicals and in combination with insecticides against<br />

Lucinodes orbonalis (Guenee) in brinjal under Allahabad agroclimatic<br />

condition, International Journal of Plant Protection, 3(2):<br />

245-247.<br />

Recieved on 22-05-<strong>2012</strong> Accepted on 18-07-<strong>2012</strong>


Trends in Biosciences 5 (3): 202-204, <strong>2012</strong><br />

Diversity and Community Structure of Phytonematodes Associated with Guava in<br />

and Around Aligarh, Uttar Pradesh, India<br />

RIZWAN ALI ANSARI 1 AND TABREIZ AHMAD KHAN 2*<br />

Section of Plant Pathology and Nematology, Department of Botany, Aligarh Muslim University, Aligarh<br />

1<br />

e-mail: rizwans.ansari@gmail.com; 2 e-mail: tabreizkhan@hotmail.com<br />

ABSTRACT<br />

An extensive survey of plant parasitic nematodes from fourteen<br />

localities of Aligarh district was conducted during November,<br />

2011 to March, 2011. A total of 164 samples were collected and<br />

analyzed for plant parasitic nematodes and their importance<br />

through community analysis. Analysis of soil samples revealed<br />

the presence of twelve genera of plant parasitic nematodes viz;<br />

Meloidogyne, Hoplolaimus, Pratylenchus, Helicotylenchus,<br />

Tylenchus, Tyl enchorhynchus, Hemi criconem oides,<br />

Aphelenchoides, Longidorus, Trichodorus, Xiphinema and<br />

Rotylenchulus. Among plant parasitic nematodes, the highest<br />

absolute density and relative density were recorded in<br />

Meloidogyne spp. followed by Hoplolaimus spp., Moreover, in<br />

relation to absolute frequency and relative frequency the<br />

Hoplolaimus spp. ranked first. The prominence value of<br />

Meloidogyne spp. ranked first followed by Hoplolaimus spp.<br />

However, the saprozoic nematodes showed the highest absolute<br />

density, relative density, absolute frequency, relative frequency<br />

and prominence value as compared to the plant parasitic<br />

nematodes. The present investigations have clearly indicated<br />

that the association of plant parasitic nematodes with guava,<br />

especially the most frequently occurring ones like Meloidogyne<br />

spp., Hoplolaimus spp., Rotylenchulus sp., Helicotylenchus sp.<br />

and Hemicriconemoides sp., are highly pathogenic in nature.<br />

Key words<br />

Absolute frequency, Relative frequency, Absolute<br />

density, Relative density and survey<br />

The guava (Psidium guajava Linn.) is one of the most<br />

widely distributed fruit tree crops often referred as the apple<br />

of the tropics. In India, guava grows nearly throughout the<br />

country and is cultivated commercially in almost all states,<br />

the total estimated area being cultivated about 50,000 ha. The<br />

important guava growing states are Uttar Pradesh, Bihar,<br />

Assam, Maharashtra, West Bengal, Andhra Pradesh and<br />

Madras. About half of the total area under production is<br />

reported in Uttar Pradesh and Madras (Singh, et al., 1963).<br />

Plant parasitic nematodes have been recognized as one of the<br />

limiting factor in the normal production in several important<br />

crops including fruits. The present work was undertaken to<br />

get an idea about nematode diversity and community structure<br />

in guava orchards.<br />

fourteen localities of Aligarh district viz; Atrauli, Harduaganj,<br />

Mahrawal, Gabhana, Keshanpur, Khair, Iglas, Jatari, Chatari,<br />

Jawan, AMU campus, kasimpur, Sasni and Nanau was<br />

conducted during November, 2011 to March, 2011. The total<br />

numbers of plant selected for study were 164 from the above<br />

mentioned localities. The soil samples were collected from the<br />

rhizosphere of guava at a depth of 10-15 cm. with the help of<br />

an auger. Four soil samples were randomly collected around<br />

the rhizospheric soil of each guava tree. All the four samples<br />

taken from each plant were mixed together to form a composite<br />

sample of 250 cm 3 soil. Samples were stored at 5-10°C until<br />

processed for nematode extraction. Nematodes were extracted<br />

from soil by using the Cobb’s sieving and decanting method<br />

followed by Baremann funnel techniques. Killing and fixing<br />

of nematodes process were done in double strength TAF<br />

followed by mounting with glycerin for nematode identification<br />

(Southey, 1986). The nematodes were identified upto the<br />

generic level. Identified genera were also assigned to different<br />

trophic groups based on their feeding habit. For quantitative<br />

analysis, 5 ml nematode suspension was poured in counting<br />

dish and the nematodes were counted under the stereo<br />

microscope. At least three readings were taken to calculate<br />

the average number of nematodes in 100 ml of suspension.<br />

Community analysis was carried out by using the following<br />

standard formula;<br />

Number of samples containing a species <br />

<br />

<br />

Total number of samples collected <br />

<br />

<br />

Absolute frequency = 100<br />

Frequency of species <br />

Relative frequency =<br />

<br />

100<br />

Sum of frequency of allspecies <br />

<br />

<br />

Number of individual s of species in a sample <br />

<br />

<br />

Volume of sample<br />

<br />

<br />

Absolute density = 100<br />

Number of individual s of species in a sample <br />

Total of all individual in a sample <br />

<br />

<br />

Absolute density = <br />

100<br />

MATERIALS AND METHODS<br />

An extensive survey of plant parasitic nematodes from<br />

Prominence value = Absolute density<br />

Absolute frequency


ANSARI AND KHAN, Diversity and Community Structure of Phytonematodes Associated with Guava 203<br />

RESULTS AND DISCUSSION<br />

The result presented in Table I clearly revealed that in<br />

all, twelve genera of plant parasitic nematodes were identified<br />

and found associated with guava plants, grown in different<br />

localities of Aligarh district viz., of which, two nematodes<br />

species viz., Meloidogyne and Hoplolaimus were reported<br />

from all the fourteen localities , while genus Helicotylenchus<br />

was found to be present in all the localities except A.M.U.<br />

campus. However, occurrence of the rest of the nematodes,<br />

varied in different localities. Similarly, the population of<br />

different nematodes also varied in different localities surveyed.<br />

In addition, saprozoic nematodes were also found in all the<br />

localities. Among these phytonematodes, the average<br />

population of Meloidogyne spp. (1344.3) was highest followed<br />

by Hoplolaimus spp. (183.6), moreover, as far as the<br />

community analysis is concerned, it was revealed that<br />

Hoplolaimus spp. ranked first among the plant pathogenic<br />

nematodes as it showed cent per cent absolute frequency<br />

followed by Helicotylenchus sp. (90.8%) similarly, as far as<br />

the relative frequency is concerned, Hoplolaimus spp. (10.9)<br />

also ranked first followed by Helicotylenchus sp. (9.9).<br />

However, on the other hand, among the plant parasitic<br />

nematodes Meloidogyne spp. (7528.0) showed the highest<br />

absolute density followed by Hoplolaimus spp. (1028.0),<br />

similarly, the relative density of Meloidogyne spp. (36.3) also<br />

ranked first among the plant parasitic nematodes followed by<br />

Hoplolaimus spp. (5.0). In terms of prominence value,<br />

Meloidogyne spp. (66472.2) ranked first among the plant<br />

parasitic nematodes (Table 1).<br />

The results showed that guava is good host of plant<br />

parasitic nematodes particularly Meloidogyne spp.,<br />

Hoplolaimus spp., Rotylenchulus sp. on the basis of<br />

prominence value as well as relative density, relative frequency,<br />

absolute frequency and absolute density and may be more<br />

pathogenic to guava as compared to others. Our results are<br />

also in agreement with those of Moura,1989, Zeidan, 1990,<br />

Carrillo Riversa, et al., 1990 and Ansari and Ahmad, 2000 who<br />

also reported the association of, Meloidogyne mayaguensis,<br />

M. incognita, M. javanica, Tylenchorhynchus brassicae,<br />

Hoplolaimus indicus, Helicotylenchus spp. and<br />

Table 1.<br />

Occurrence of plant parasitic nematodes associated with guava trees in and around Aligarh<br />

Population of phytonematodes / 250 cm 3 soil<br />

No. of<br />

Locality samples<br />

Population of saprozoic<br />

Aph.* Hel.* Hem.* Hop.* Lon.* Mel* Pra*. Rot.* Tri.* Tyl.* Tylen.* Xip.*<br />

nematodes<br />

Atrauli 21<br />

12 176 118 255 134 3234<br />

44<br />

159 1875<br />

- - -<br />

-<br />

(10) (21) (18) (21) (21) (19)<br />

(21)<br />

(15)<br />

(21)<br />

AMU<br />

135 78 108 125 95<br />

65 72 48<br />

1542<br />

10 -<br />

-<br />

- -<br />

Campus<br />

(16) (11) (10) (11) (6)<br />

(16) (16) (16)<br />

(16)<br />

Chatari 11 -<br />

77 67 68 77 1844 110<br />

34 13 124 1374<br />

- -<br />

(9) (11) (11) (5) (9) (11)<br />

(11) (11) (11)<br />

(11)<br />

Gabhana 14<br />

65 108 69 210 144 956 48 158 10 87 69 95<br />

795<br />

(12) (14) (14) (14) (14) (14) (14) (14) (14) (14) (14) (14)<br />

(14)<br />

Harduaganj 15<br />

35 85 167 277 95 2818 165<br />

105 84<br />

1385<br />

- -<br />

-<br />

(15) (12) (13) (15) (15) (13) (15)<br />

(13) (15)<br />

(15)<br />

Iglas 11<br />

7 44<br />

134<br />

855 28 222<br />

72 115 207<br />

618<br />

-<br />

-<br />

-<br />

(2) (11)<br />

(11)<br />

(8) (11) (11)<br />

(9) (11) (11)<br />

(11)<br />

Jatari 5<br />

28 56 121 35<br />

1577<br />

48 14 60<br />

1688<br />

-<br />

-<br />

- -<br />

(3) (5) (5) (5)<br />

(2)<br />

(5) (5) (5)<br />

(5)<br />

Jawan 16 - -<br />

57 108<br />

95<br />

174<br />

122<br />

1055<br />

-<br />

-<br />

-<br />

(10) (10)<br />

(6)<br />

(10)<br />

- (10) -<br />

(10)<br />

Kasimpur 7 -<br />

166 145 187 166 543 75 92<br />

215 1756<br />

- - -<br />

(7) (7) (7) (7) (5) (07) (7)<br />

(7)<br />

(7)<br />

Keshanpur 8<br />

44 94<br />

95<br />

165<br />

367<br />

45 35<br />

2018<br />

-<br />

-<br />

-<br />

-<br />

-<br />

(8) (8)<br />

(8)<br />

(4)<br />

(8)<br />

(8) (8)<br />

(8)<br />

Khair 12 -<br />

33<br />

187 18 256<br />

765<br />

17<br />

176 2443<br />

-<br />

-<br />

-<br />

-<br />

(14)<br />

(14) (14) (11)<br />

(14) (14)<br />

(14)<br />

(14)<br />

Mahrawal 10 -<br />

122 90 307 164 1215<br />

267<br />

174 1268<br />

-<br />

- - -<br />

(10) (10) (10) (10) (17)<br />

(10)<br />

(10)<br />

(10)<br />

Nanau 4<br />

26 114 84 134 26 1545 87 339<br />

644<br />

- - - -<br />

(4) (4) (4) (4) (4) (3) (4) (4)<br />

(4)<br />

Sasni 18<br />

77 204 133 318 85 2761 18 34<br />

18 64<br />

944<br />

- -<br />

(18) (18) (18) (18) (18) (12) (18) (14)<br />

(18) (18)<br />

(18)<br />

Total (164) (72) (149) (121) (164) (119) (128) (80) (113) (35) (111) (87) (100) (164)<br />

Average<br />

population<br />

21.0 101.0 80.6 183.6 73.8 1344.3 37.9 180.9 6.8 36.6 32.6 86.7 1514.71<br />

In parentheses number of samples containing a species is given;<br />

Aph.*= Aphelenchoides, Hel.* = Helicotylenchus, Hem.* = Hemicriconemoides, Hop.* = Hoplolaimus, Lon. *= Longidorus, Mel*.= Meloidogyne,<br />

Pra.*= Pratylenchus, Rot* = Rotylenchulus, Tri.*= Trichodorus, Tyl.*= Tylenchus, Tylen.*=Tylenchorhynchus, Xip.*= Xiphinema.


204 Trends in Biosciences 5 (3), <strong>2012</strong><br />

Table 2.<br />

Community analysis of plant parasitic nematodes on guava in and around Aligarh.<br />

Nematode Trophic group Average/ Range A.F. R.F. A.D. R.D. P.V.<br />

Aphelenchoides<br />

Myceliophagus<br />

21.0<br />

(7-77)<br />

43.9 4.8 117.6 0.6 778.5<br />

Helicotylenchus<br />

Ecto and semi endoparasite<br />

101.0<br />

(33-204)<br />

90.8 9.9 565.6 2.7 5390.2<br />

Hemicriconemoides<br />

Sedentry ectoparasite<br />

80.6<br />

(57-167)<br />

73.8 8.1 451.6 2.2 3874.7<br />

Hoplolaimus<br />

Migratory endo- and ectoparasite<br />

183.6<br />

(35-307)<br />

100.0 10.9 1028.0 5.0 10280.0<br />

Longidorus<br />

Migratory ectoparasite<br />

73.9<br />

(26-166)<br />

72.6 7.9 413.6 2.0 3672.9<br />

Meloidogyne<br />

Sedentry endoparasite<br />

1344.3<br />

(95-3234) 78.0 8.5 7528.0 36.3 66472.2<br />

Pratylenchus<br />

Migratory endoparasite<br />

37.9<br />

(18-165)<br />

48.7 5.3 212.4 1.0 1482.5<br />

Rotylenchulus<br />

Semi-endoparasite<br />

180.8<br />

(34-765)<br />

68.9 7.5 1012.4 4.9 8402.9<br />

Trichodorus<br />

Migratory ectoparasite<br />

6.8<br />

(10-72)<br />

54.7 6.0 38.4 0.2 283.8<br />

Tylenchorhynchus<br />

Migratory ectoparasite<br />

32.6<br />

(13-122)<br />

53.0 5.8 182.4 0.9 1327.9<br />

Tylenchus<br />

Ectoparasite<br />

36.6<br />

(17-105)<br />

67.7 7.4 204.8 1.0 1683.4<br />

Xiphinema<br />

Ectoparasite<br />

86.7<br />

(64-207)<br />

61.0 6.7 485.6 2.3 3787.7<br />

Saprozoic nematodes<br />

saprozoic<br />

1514.7<br />

(618-1875)<br />

100.0 10.9 8482.4 40.9 84824.0<br />

A.F. = Absolute Frequency, R.F. = Relative Frequency, A.D. = Absolute Density, R.D. =Relative Density, P.V. = Prominence Value.<br />

Tylenchorhynchus projectus with guava trees. It is confirmed<br />

from the results that the diversity and the population of the<br />

nematode in all the soil samples taken were not-uniform.<br />

Fluctuation in population and distribution of nematode genera<br />

might be due to soil types having different physico-chemical<br />

characteristics. The present investigation clearly indicated<br />

that the association of plant parasitic nematodes, especially<br />

the most frequently occurring ones like Meloidogyne spp.,<br />

Hoplolaimus spp., Rotylenchulus sp., Helicotylenchus sp.<br />

and Hemicriconemoides sp. are highly pathogenic in nature.<br />

Therefore, their occurrence in high densities may pose a<br />

serious threat to guava trees, if the management practices are<br />

not governed to keep the population under check. Therefore,<br />

it needs immediate attention of the growers and researchers<br />

to manage the damage to guava trees infested with nematodes.<br />

LITERATURE CITED<br />

Ansari, M.A. and Ahmad, W. 2000. Community analysis of plant parsitic<br />

and predatory nematodes in guava (Psidium guajava) orchard.<br />

Med. Fac. Landbouww.univ.Gent., 65(2b): 557-562.<br />

Carillo Rivera, J., Carillo Fonseca, C. and Dominguez Alvarez, J.L.<br />

1990. Nematodes attacking guava trees (Psidium guajava L.) and<br />

chemical control in the Juchipila Canyon, Zac. Mexico. Revista<br />

Chapingo, 15(67-68): 94-97.<br />

Moura, R.M. De and Moura, A.M. De. 1989. Root–knot on guava: a<br />

series disease In Pernambuco state, Brazil. Nematologia Brasileria,<br />

13: 13-19.<br />

Singh, S., Krishnamurthi, S. and Katyal, S.L. 1963. Fruit culture in<br />

India, Indian council of Agricultural Research, New Delhi. pp.456.<br />

Southey, J.F. 1986. Laboratory methods for work with plant and soil<br />

nematodes. Ministry of Agriculture, Fisheries and Food Reference<br />

Book No. 402, HMSO, London, UK. pp.202.<br />

Zeidan, A.B. and Geraert, E. 1990. Helicotylenchus from Sudan, with<br />

description of two new species (Nematoda: Tylenchida).<br />

Nematologia Mediterranea, 18(1): 33-45.<br />

Recieved on 11-04-<strong>2012</strong> Accepted on 25-09-<strong>2012</strong>


Trends in Biosciences 5 (3): 205-207, <strong>2012</strong><br />

Anti Fungicidal Activity of Secretion from Scent Glands of Heteropteran Bugs<br />

CH. SR<strong>IN</strong>IVASULU 1 *, V. KARUNAKAR 1 , S.M. REDDY 2 AND C. JANAIAH 3<br />

1<br />

Department of Zoology Govt. Degree College Peddapalli, Karimnagar Dist. A.P. 505 172<br />

2<br />

Department of Botany, Kakatiya University, Warangal A.P.<br />

3<br />

Department of Zoology, Kakatiya University, Warangal A.P.<br />

*e-mail: chsri39@gmail.com<br />

ABSTRACT<br />

Effect of volatile scent components of heteropteran bugs on the<br />

growth of two fungi, Alternaria alternata and Aspergillus clavatus<br />

was investigated by Glass cup method .The scent components<br />

of n-dodecane showed differential toxicity towards A.alternata<br />

and A.clavatus. Undecane significantly reduced the growth of<br />

A. alternate where as its effect on A. clavatus was negligible. n-<br />

tridecane and n-tetradecane exhibited fungicidal activity against<br />

both the fungi under study. 1-Hexanol and Propan -1-ol showed<br />

lack of fungicidal activity against both the fungi. 1-Butanol<br />

exhibited a strong fungicidal activity against both the fungi<br />

under study. 2-Butanone a scent component had fungicidal<br />

activity but was more inhibitiry than to A. alternata and<br />

A. clavatus.<br />

Key words<br />

Heteropteran bugs, Scent components, Fungicidal<br />

activity, Alternaria alternate, Aspergillus clavatus.<br />

Effect of some natural scent compounds was observed<br />

on pathogenic fungi Alternaria alternata and Botrytis cinera<br />

by Hamitton Kempt, et al., 1992. Volatile compounds produced<br />

in the mandibular gland of leaf cutting ants of genera Atta and<br />

Acromyrmex had significant inhibitory effect on germination,<br />

growth and development of certain fungi (Knapp, et al., 1994).<br />

Certain volatile chemical compounds like hexanol,<br />

acetone, formaldehyde, acetic anhydride, pyridene, chloroform<br />

and phenol inhibited the growth and sporulation of Fusarium<br />

oxysporum completely (Kantilal,1980). n-hexanol, hexanal and<br />

trans-hept-2-enal, 5-hexenoic acid and trans-hex-2-enylacetate<br />

and n-hexyl acetate were the components of scent secretions<br />

from C. purpueus and T. javanica. They showed a strong<br />

fungicidal activity against plant pathogenic fungi Duchsheria<br />

specifera, F. oxysporum (Surender, et al., 1987).<br />

n-dodecane, n-tetradodacane, n-undecane, Benzyle<br />

alcohol, propan-1-ol, 1- butanol, 2-butanone, Benzyldehyde,<br />

the components of scent secretion from C. purpureus, T.<br />

javanica, H. dentatus, C. lectularius, amblybeltanitida,<br />

Gelastocoris culatus, Biprorulus bibax, Graphosoma<br />

linatum, Chlorochroa uhleri, C. sayi, C. ligata and N. viridula<br />

showed fungicidal activity against the both Curvularia lunata<br />

and Fusarium oxysporum (Vidyasagar, 1995).<br />

MATERIALS AND METHODS<br />

Secretions of scent glands of some heteropteran bugs<br />

Graphosoma lineatum, C. purpureus, T. javanica, Pallantia<br />

macunaim, H. denatus, C. lectularius, A. nitida, Gelastocoris<br />

oculatus, Biprorulus bibax, N. viridula, Chlorochroa uhleri,<br />

C. sayi, C. ligata were collected and assayed for their<br />

antifungal activity. The collection of scent secretion from<br />

abdominal scent glands of larvae and metathoracic scent<br />

glands of adults of Heteropteran bugs was described earlier<br />

(Janaiah, et al., 1979). The secretions were subjected to<br />

chemical analysis by Gas liquid chromatography and Mass<br />

spectrometry (GC-MS). The unknown individual components<br />

of secretions were compared with authentic sample (ICN, Lab,<br />

New York) some known compounds from different<br />

heteropteran bugs, reported earlier, were also evaluated for<br />

their antifungal activity.<br />

Antifungal activity of scent component was assayed as<br />

per the method described by Fries ,1961 Glasscup (1 ml)<br />

capacity were placed in a petridish and sterilized at 150 0 C for<br />

30mn. The sterilized medium was poured into these<br />

petridishes. After cooling at room temperature 1 ml of test<br />

compound was poured in a glass cup asceptically. The<br />

petridishes thus prepared were seeded with the test fungi<br />

(Alternaria alternata and Aspergillus clavatus) and incubated<br />

at 27+2 0 C for 7days, 1 ml sterilized water is placed for test<br />

compound and it served as control. At the end of incubation<br />

period and growth of colony was measured and percentage<br />

of growth inhibition was calculated, minimum of five replicates<br />

were employed.<br />

RESULTS AND DISCUSSION<br />

Effect of scent components of heteropteran bugs on<br />

the growth of two fungi (Alternaria alternata and Aspergillus<br />

clavatus) was investigated and the results are presented in<br />

Table 1.<br />

Hydrocarbons: n-dodecane,the hydrocarbon from the<br />

abdominal scent glands of Chrysocoris purpureus (Janaiah,<br />

1978), Graphosoma lineatum (Dilek and Kalender, 2008) and<br />

Halys dentatus (Srinivasulu, et al., 1996) was responsible total<br />

differential toxicity towards A.alternata and A. clavatus.<br />

Undecane, the scent component from the metathoracic scent<br />

glands of bronze orange bug, Musgraevia sulciventris,<br />

Biprorulus bibex (Macleoid, et al., 1975) and Nymph of the<br />

Pallantia macunaima (Carla, et al., 2011) exhibited moderate<br />

inhibition of growth on A. altenata, little or no inhibition of


206 Trends in Biosciences 5 (3), <strong>2012</strong><br />

growth on A. clavatus. n-tridecane a scent component from<br />

the abdominal scent glands of Tessaratoma javanica (Janaiah,<br />

et al., 1979) and H. dentatus (Srinivasulu, et al., 1996) and<br />

also from the metathoracic scent glands H. dentatus (Surender<br />

and Janaiah, 1990) C. ligata, C. sayi, C. uhleri (Hsiar - Young<br />

Ho, et al., 2001) Showed fungicidal activity against A.<br />

alternata and A. clavatus. While n-tetradecane reported in<br />

the scent secretion of heteropteran bugs Caura rufiventris<br />

(Prestwitch, 1976) and Chlorochroa uhleri (Hsiao-Young and<br />

Jocelyn, 2001) showed a fungicidal activity on both A.<br />

alternata and A. clavatus.<br />

Alcohols: Benzyl alcohol,the abdominal scent glands of<br />

Coreoid bugs Leptoglossus australis (Gough, et al., 1985)<br />

showed median toxicity on both the fungi under study 1-<br />

Hexanol, reported from the metathoracic scent glands of adult<br />

Coreoid bugs. Gelastocoris oculatus (Staddon, 1973) showed<br />

lacked fungicidal activity against both fungi. Propan-1-ol, the<br />

volatile alcoholic compound from the abdominal scent glands<br />

of larvae of Libiapis angolensis (Cmelik, 1969) and from the<br />

metathoracic scent glands of Chrysocoris stolli (Chowdhari<br />

and Dass, 1968) was also showed no fungicidal activity against<br />

both fungi understudy. 1-Butanol reported from the scent<br />

secretions of Coreoid bugs also showed strong toxicity of<br />

both the fungi understudy.<br />

Ketone: 2-Butanone (methyl ethyl ketone) found in the<br />

metathoracic scent secretion of C. stolli (Chowdari and Dass,<br />

1968) showed more sensitive of A. alternata than A. clavatus<br />

while it was being mild toxicity on A. clavatus.<br />

Aldehyde: Benzaldehyde, from the predatory insects Podisus<br />

maculiventris (Aldrich, et al., 1984) was mild inhibited of<br />

growth of both fungi.<br />

From the present investigations, it is clear that the scent<br />

components undecane, n-dodecane, n-tridecane and n-<br />

tetradecane of certain heteropteran bugs exhibit strong<br />

fungicidal activity against of A. alternata while n-tetradecane<br />

was high toxic to the growth of both fungi. Benzyl alcohol<br />

and 1-Butanol exhibited strong fungi toxicity on both the fungi<br />

2-Butanone and Benzaldehyde also strong fungicidal activity<br />

against both fungi under study, while 2-Butanone showed<br />

median toxicity on A. clavatus.<br />

n-dodecane, which showed differential toxicity towards<br />

A. alternata and A. clavatus was also reported to have varied<br />

effect. The fungicidal activity, Surender, et al., 1987 observed<br />

that D. specifera and F. oxysporum were insensitive, which C.<br />

lunata was totally inhibited by this compound n-undecane,<br />

was also effect two fungi differentially. A. clavatus was<br />

insensitivity while A. alternata was partially inhibited. Similarly<br />

Vidyasagar, 1995 reported that this compound has lack of<br />

fungicidal activity against fungi studied by him.<br />

n-tridecane and n-tetradecane also exhibited fungicidal<br />

activity against both the fungi under investigation it can be<br />

concluded the A. alternata was more sensitive to low<br />

molecular weight hydrocarbons and with the increase of<br />

molecular weight, the sensitivity decreased. Reverse was true<br />

with A. clavatus. Acetone, Formaldehyde, Acetic anhydride,<br />

Pyridine, Chloroform and Phenols exhibited total inhibition of<br />

growth on D. specifera and F. oxysporum (Kanthilal, 1980).<br />

Benzyle alcohol showed median toxicity on both the<br />

fungi under study 1-Hexanol and Propan-1-ol lacked fungicidal<br />

activity against present fungi. On the other hand, Surender et<br />

al., 1987 reported to effective fungicidal against D. specifera<br />

and F. oxysporum. Similarly Vidyasagar, 1995 reported the<br />

sensitive of C. lunata towards these compounds. It was<br />

effective enough to cause total spore germination inhibition<br />

of F. oxysporum at higher concentrations. (Vidyasagar, 1995).<br />

1-Butanol, exhibited strong fungicidal activity against fungi<br />

understudy. Vidyasagar, 1995 has also reported that it was<br />

responsible for total germination inhibition at higher<br />

concentration. 2-Butanone and Benzaldehyde had almost<br />

same in their fungicidal activity. A. alternata was more<br />

Table 1.<br />

Effect of certain scent components of insects on the growth of two fungi<br />

S.No. Name of the Compound<br />

I<br />

1.<br />

2.<br />

3.<br />

4.<br />

II<br />

5.<br />

6.<br />

7.<br />

8.<br />

III<br />

9.<br />

IV<br />

10.<br />

HYDROCARBONS<br />

n- dodecane<br />

Undecane<br />

n-tridecane<br />

n-tetradecane<br />

ALCOHOLS<br />

Benzyl alcohol<br />

1-Hexanol<br />

Propan-1-ol<br />

1. Butanol<br />

KETONE<br />

2- Butanone<br />

(Methyl Ethyl Ketone)<br />

ALDEHYDE<br />

Benzaldehyde<br />

Diameter of the colony<br />

(mm)<br />

20<br />

35<br />

40<br />

30<br />

30<br />

Nil<br />

Nil<br />

05<br />

15<br />

Alternaria alternata<br />

Percentage of<br />

inhibition<br />

70.6<br />

48.5<br />

41.2<br />

55.9<br />

55.9<br />

Nil<br />

Nil<br />

92.6<br />

Diameter of the colony<br />

(mm)<br />

24<br />

64.7<br />

40<br />

Control 68 90<br />

67.6<br />

90<br />

85<br />

70<br />

35<br />

30<br />

Nil<br />

Nil<br />

05<br />

55<br />

Aspergillus clavatus<br />

Percentage of<br />

inhibition<br />

Nil<br />

5.6<br />

22.2<br />

61.6<br />

66.6<br />

Nil<br />

Nil<br />

94.4<br />

38.9<br />

55.5


SR<strong>IN</strong>IVASULU et al., Anti fungicidal activity of secretion from scent glands of Heteropteran Bugs 207<br />

sensitive than A. clavatus. The response of C. lunata and F.<br />

oxysporum was also similar to A. alternata.<br />

ACKNOWLEDGEMENT<br />

Thanks are due to Head, Department of Zoology,<br />

Kakatiya University, Warangal, for providing working facilities<br />

and to the ICN, Lab New York for supplied authentic samples.<br />

LITERATURE CITED<br />

Aldrich, J.R., Lushy, W.R., Kochansky, J.P. and Abrams, C.B. 1984.<br />

Volatile compounds. from the predatory Insect, Podisus<br />

maculiventris (Hemiptera:Heteroptera:Pentatomidae) male and<br />

female dorsal abdominal glands secretion. J. Chem. Ecol., 10(14):<br />

561-568.<br />

Carla F. Favaro, Mauro A.C de M. Rodrigues, Jeffrey R. Aldrich and<br />

Paulo H.G Zarbin 2011. Identification of semio chemicals in Adults<br />

and Nymphs of the stink bug Pallantia macunaima Grazia<br />

(Hemiptera:Pentatomidae) J. Braz. Chem. Soc., 22(1): 58-64<br />

Choudhari, D.K. and Das, K.K. 1968. On the odour components of the<br />

stink of two Heteropteran bugs of India. Indian J. Ent., 30(3): 203-<br />

208.<br />

Cmelik, S. 1969. Volatile aldehydes in the odoriferous secretion of the<br />

stink bug, Libyaspis angolensis Hoppe-selyer s Z. Physiol. Chem.<br />

350:1076-1080.<br />

Dilek Durak, Yusuf Kalender 2008. Fine structure and chemical analysis<br />

of the metathoracic scent gland secretion in Graphosoma lineatum<br />

(Linnaeus, 1758) (Heteroptera:Pentatomidae) C.R Biologies, doi:<br />

10: 1016/j.crvi.2008.10-004.<br />

Fries, N. 1961. The growth promoting activity of some aliphatic<br />

aldehydes on fungi. Svensk. Bot. Tidskn., 55:1-16.<br />

Gough, A.J.E. Hamilton, J.G.C. Games, D.E. and Staddon, B.W. 1985.<br />

Multichemical defense of plant bug Hotea gambiae (west wood).<br />

heteroptera:scutelleridae) Sequiterpenoida from abdominal glands<br />

in larvae. J. Chem. Ecol. 11(3): 343-352.<br />

Hamilton-Kemp, C.T., Mc. Craeken, J.R., Longhrin J.H., Andersen,<br />

R.A and Bildebank, D.P. 1992. Effects of some natural volatile<br />

compounds on the pathogenic fungi, Alternaria alternata and<br />

Botrytis cinerea. J. Chem. Ecol., 18(7):1083-1091.<br />

Hsiao-Young Ho and Jocelyn G.miller 2001. Compounds in metathoracic<br />

glands of adults and Dorsal abdominal glands of Nymphs of the<br />

stink bugs, Chlorochroa uhleri, C. sayi, and C. ligata<br />

(Hemiptera:pentatomidea) Zoological studies, 40(3): 193-198.<br />

Janaiah, C. 1978. Studies on the scent glands of two pentatomatid bugs<br />

Ph.D. thesis Kakatiya University, Warangal.<br />

Janaiah, C., Rao, P.S., Chari, N., Venkat Reddy, P. and Subba Rao, Y.V.<br />

1979. Chemical composition of scent glands of adult and nymphs<br />

of the bugs, Tessaratoma javanica thungerg. Ind. J. Exp. Biol., 17:<br />

1233-1235.<br />

Kantilal, N. 1980. Patholagical and Physiological studies on some<br />

Deuteromycetes. Ph.D. Thesis Kakatiya University, Warangal.<br />

Knapp, J.J. Jakson, C.W. Howse, P.E. and Vilela, E. F. 1994. Mandibular<br />

gland secretions of leaf cutting ants role in defense against alien<br />

fungi, 12 th congress of the international union for the study of<br />

social insects IUSSI, Paris, Sorbonne, 21-27 August, pp.109.<br />

Macleod, J.K. Howe, J. Cable, J. Blake, J.T. Baker, J.T. and Smith, D.<br />

1975. Volatile scent gland compounds of some tropical homiptera.<br />

J. Insect. Physiol., 21(6): 1219-1224.<br />

Prestwich, G.D. 1976. Composition of the scent of eight East African<br />

Hemipterous. Nymph adult chemical polymorphism in coreids.<br />

Ann. Entomol. Soc. Am., 69(5): 812-814.<br />

Ravinder, K. Janaiah, C. and Reddy, S.M. 1992. Fungicidal activity of<br />

scent secretions of certain heteraptran bugs. Nat. Acad, Sci. Letters.<br />

15(4): 103-105.<br />

Srinivasulu, C.H., Surender, P. and Janaiah, C. 1996 Chemical<br />

composition of scent from the abdominal scent glands of Halys<br />

dentatus Bio Science Research Bulletin, 12(1): 15-22.0<br />

Staddon, B.W. 1973. A note on the composition of the scent from the<br />

metathoracic scent glands of Gelastocoris oculatus (Fabricius)<br />

(Heteroptera:Gelastocoridae). Entomol. 106: 253-255.<br />

Surender, P. Janaiah, C. 1990. Chemical constituents of metathoracic<br />

scent glands of the bark bug Halys dentatus (Febr.) Indian J. Comp.<br />

Anl. Physiol., 8(2): 60-64.<br />

Surender, P., Janaiah, C., Krishna Reddy, V. and Reddy, S.M. 1987 Anti<br />

fungal activity of secretion of scent glands from heteropteran bugs.<br />

Indian J. Exp. Biol., 25: 233-234.<br />

Vidyasagar, C.H. 1995. Identification and functions of scent secretion<br />

from the scent glands of pentatomid bugs. Ph.D. Thesis, Kakatiya<br />

University, Warangal.<br />

Recieved on 20-03-<strong>2012</strong> Accepted on 28-09-<strong>2012</strong>


Trends in Biosciences 5 (3): 208-211, <strong>2012</strong><br />

Effect of Different Concentrations of SA on the Morphological and Agronomical<br />

Characteristics of Wheat (Triticum aestivum L. em. Thell.)<br />

JYOTSNA SUBHA, S. MARKER, A. KRUPAKAR AND ATUL TRIPATHI<br />

Department of Genetics and Plant Breeding, Sam Higginbottom Institute of Agriculture, Technology & Sciences,<br />

Deemed to be University, Naini, Allahabad 211 007 (U.P.)<br />

ABSTRACT<br />

Mutation breeding is resorted to achieve rapid genetic changes<br />

in the targeted material for its genetic enhancement. Induced<br />

polygenic variability in respect of growth and yield contributing<br />

traits were studied in M 2<br />

generation of cultivar Kalyan sona.<br />

Results indicated that higher concentration of sodium azide<br />

reduces the germination percentage, root and shoot length.<br />

However, at low concentration it was at par with control. Yield<br />

attributing characters showed both positive and negative shift<br />

in mean value in different concentrations in comparison to<br />

control. The magnitude of polygenic traits for genotypic and<br />

phenotypic variability, heritability and genetic gain decreases<br />

with the increases in concentration of sodium azide. Some of<br />

the mutant lines (eight progeny for earliness, one for plant<br />

height, three for spike length and grain yield each, two for<br />

tillering and four for test weight) were found desirable. These<br />

lines were either comparable to or better than control for yield<br />

and its components. It can be concluded that sodium azide with<br />

0.02 per cent concentration appear to be most effective mutagenic<br />

treatment for induction of micro-mutation in yield component<br />

traits in wheat. Selection in M 2<br />

populations of these treatment<br />

would be effective in rectificatio n of simply inherited<br />

morphological deficiencies and bringing out lines with yield<br />

improvement.<br />

Key words<br />

Mutagenesis, sodium azide, agro-morphometric<br />

traits, crop improvement and wheat<br />

Presently wheat crop is witnessing a plateau in yield<br />

level and it has become imparative to break this, which is only<br />

possible by creating new variation. One way of creating<br />

variability in such an important self pollinated crop is<br />

attempting crosses between two genotypes complementing<br />

the characters of each other but due to autogamous nature of<br />

the crop, hybridization at appropriate time is a difficult process<br />

(Micke, et al., 1985). The another alternative left with breeders<br />

to create variability is mutation breeding. This method can be<br />

used as a potential source of creating variability. Mutations<br />

have played a great role in increasing world food security,<br />

since new food crop varieties embedded with various induced<br />

mutations have contributed to the significant increase of crop<br />

production. It offers the possibility of inducing desired<br />

attributes that either cannot be found in nature or have been<br />

lost during evaluation (Reddy, 1998). The present studies have<br />

provided evidence on the induction of genetic variability<br />

connected with yield and yield components in wheat crop.<br />

Chemical mutagenesis is regarded as an effective and<br />

important tool in improving the yield and quality characters<br />

of crop plants. Sodium azide has also proved its worth as<br />

chemical mutagens to induce genetic variation in the character<br />

of economic importance (Mendulkar, 2002). Thus, this chemical<br />

mutagen was used in present investigation to isolate and<br />

identify the genes used in designing wheat crop with improved<br />

yield, increase biotic resistance and reduced agronomic inputs.<br />

MATERIALS AND METHODS<br />

The genotype used for mutagenic treatment was Kalyan<br />

sona, a promising and leading wheat variety of India but<br />

susceptible to leaf rust. Three different concentrations of<br />

sodium azide (0.02 per cent, 0.04 per cent, and 0.06 per cent)<br />

were used in present investigation along with control. After<br />

pre-soaking ( 6hrs in distilled water) the seeds were blotted,<br />

dry and treated ( 6hrs at room temperature 26 0 C + 2 0 C with<br />

intermittent shaking) with freshly prepared chemical mutagen<br />

solution of sodium azide in above mentioned three<br />

concentrations. An equal number of seeds were soaked in<br />

distilled water, which served as control. After the treatment<br />

seeds were thoroughly washed in running tap water for two<br />

hours and then blotted dry. Out of 100 seeds, 30 seeds were<br />

sown in petridishes for all the three concentrations and in<br />

control for laboratory experiment, where observations on<br />

germination per cent, root and shoot length were recorded.<br />

Remaining 70 seeds of each concentrations were used for<br />

raising M 1<br />

generation.<br />

M 1<br />

Generation: The sowing of M 1<br />

generation was done on<br />

25 th November ,<br />

2007 in four different plots keeping 25 x 5 cm<br />

spacing at Field Experimentation Centre of the Department of<br />

Genetics and Plant Breeding, Sam Higginbottom Institute of<br />

Agriculture, Technology and Sciences, Allahabad, U.P.<br />

Observations on germination, flowering, seedling survival and<br />

other characters were noted. The first spike of randomly<br />

selected plants was selfed by using paper bags in treated<br />

population. After the crop was harvested, 16 plants from each<br />

concentration were selected randomly for post harvest<br />

observations. Plants within the population of different<br />

concentrations were further designated as F 1<br />

P 1,<br />

F 1<br />

P 2<br />

———<br />

—F 1<br />

P 16<br />

. Similarly, in all others concentrations 16 random plants<br />

were selected and designated as above.<br />

M 2<br />

Generation: The seeds of all randomly selected 16 plants<br />

were harvested from each concentration separately and were<br />

grown in augmented randomized compact family block design


SUBHA et al., Effect of different concentrations of SA on the morphological and agronomical characteristics of Wheat 209<br />

with three replications during next crop season i.e. winter 2008-<br />

09. Each entry was sown in two rows plot of 2 m length with a<br />

spacing of 30 × 5 cm. All the recommended agronomic packages<br />

and practices were followed to raised a healthy crop. The data<br />

recorded for eight polygenic traits (Table 1) were subjected to<br />

the analysis of variance according to the procedure outlined<br />

by Steel and Torrie, 1980. The estimation of variability was<br />

done on family and population basis using the standard<br />

statistical procedure (Panse and Sukhatme, 1967). The<br />

observed F-value was compared against the corresponding<br />

table value given by Fisher and Yates, 1963 for deciding the<br />

significance of between progenies and within progenies<br />

component of variances. PCV and GCV were calculated by<br />

the formula given by Burton, 1952, heritability in broad sense<br />

(h 2 ) by Burton and De Vane, 1953 and expected genetic gain<br />

were calculated by using the procedure given by Johnson, et<br />

al., 1955.<br />

RESULTS AND DISCUSSION<br />

Analysis of variance revealed that variance between<br />

families was significant for all traits studied, whereas variance<br />

within progenies were non-significant for most of the<br />

characters studied (Table 1). There was general decrease in<br />

germination percentage with increase mutagenic<br />

concentration . Similarly,the root and shoot length showed a<br />

similar pattern of growth i.e. with the increase of concentration<br />

of chemical mutagen there was adverse effect on the growth<br />

of root and shoot length of wheat seedlings in the laboratory<br />

conditions (Table 2).The reduction in seedling survival is<br />

attributed to cytogenetic damage and physiological<br />

disturbances (Sato and Gaul, 1967). Thus, the probable reason<br />

of this may be the hindrance caused by the sodium azide on<br />

different metabolic pathway of the cells. Similar findings have<br />

also been reported by Reddy, 1998 and Rachovska and Dimova,<br />

2000.<br />

Progeny and family mean values (Table 3) reveals that<br />

high and/or at par progeny mean value was observed for all<br />

the quantitative traits studied in 0.02 per cent concentration<br />

of sodium azide. In M 2<br />

generation variation is expected to be<br />

high for any character because of the segregation and a number<br />

of mutants for different quantitative characters can be identified<br />

in this generation. A progeny with a high or low mean<br />

(depending on the character under consideration) over the<br />

mean of control, with a high coefficient of variation is expected<br />

to yield desirable segregants in successive generations. At<br />

the same time families with a desirable shift in the mean were<br />

also considered desirable. The role of mutation breeding in<br />

increasing the genetic variability for quantitative traits in<br />

various crop plants have been proved beyond doubt (Khan<br />

and Goyal, 2009).<br />

Individual character has great role in mutation breeding.<br />

In the present investigation due emphasis was given to<br />

individual yield contributing traits. The mean values indicated<br />

that sodium azide did not caused any significant changes in<br />

mean for days to maturity. Semi dwarf plant height (85-90 cm)<br />

is desirable attribute in wheat as too tall plants are susceptible<br />

for lodging and height below the D 2<br />

type causes significant<br />

reduction in straw weight, ( an essential by-product of wheat).<br />

In the present investigation, most of the progenies in the<br />

treated concentration and in control were not in the desirable<br />

plant height group, which indicates that sodium azide did not<br />

cause any significant reduction in plant height. However, in<br />

higher concentration of sodium azide, progenies showed<br />

reduction in plant height, indicating their undesirability for<br />

selection. Sharma, et al., 1989 showed similar results in wheat,<br />

Table 1.<br />

S.<br />

No.<br />

Analysis of variance of different characters in M 2<br />

generations of wheat<br />

Source of variance<br />

d.f<br />

Days to 50%<br />

flowering<br />

Days to<br />

maturity<br />

Plant<br />

height<br />

*,** Significant at 5% and 1% level respectively WF = within family<br />

Mean sum of squares<br />

Spike Width of<br />

length flag leaf<br />

Number of<br />

tillers per<br />

plant<br />

Test<br />

weight<br />

1 Bet/Fam 63 4.67* 26.36* 74.10* 0.35 0.44* 72.12* 309.13* 0.55*<br />

2 Rep Fam 15 1.46 8.61* 1.92 0.51* 0.02 1.08 2.48 0.91<br />

3 WF 1 15 3.70* 8.96* 59.44* 0.22 0.02 3.25* 14.91* 4.70*<br />

4 WF 2 15 6.90* 13.81* 10.28 0.17 0.07** 9.66* 10.94* 9.10*<br />

5 WF 3 15 2.03 7.38* 70.47* 0.29* 0.06* 10.37* 23.15 4.82*<br />

6 WF 4 15 28.39* 33.28* 17.70 0.63* 0.009 2.02* 28.21 2.54*<br />

7 WF 5 3 1.41 2.10 15.70 0.13 0.01 0.56 1.92 1.25<br />

Table 2.<br />

Germination %, root length (cm) and shoot length (cm) at 7, 10 and 14 DAS in SA treated wheat variety Kalyan Sona<br />

Treatment<br />

Germination (%) Root length (cm) Shoot length (cm)<br />

Mean<br />

7 DAS 10 DAS 14 DAS 7 DAS 10 DAS 14DAS 7 DAS 10 DAS 14 DAS<br />

Control 100.00 100.00 100.00 7.1 7.5 7.8 7.2 7.4 7.6 95.55<br />

0.02% 98.00 98.00 97.00 6.5 6.7 6.9 5.0 5.3 5.7 97.00<br />

0.04% 96.00 92.00 93.00 6.2 6.4 6.6 5.0 6.5 6.8 92.33<br />

0.06% 90.00 89.00 82.00 5.6 5.7 5.8 6.5 7.0 7.1 85.66<br />

Grain<br />

yield/<br />

plant


210 Trends in Biosciences 5 (3), <strong>2012</strong><br />

Table 3.<br />

Family means for different quantitative characters in M 2<br />

generation of wheat<br />

S. No. Family Days to 50%<br />

flowering<br />

Days to<br />

maturity<br />

Plant height<br />

(cm)<br />

Spike<br />

length<br />

(cm)<br />

Width of flag<br />

leaf<br />

(cm)<br />

Number of<br />

tillers per<br />

plant<br />

Test weight<br />

(g)<br />

Grain yield/<br />

plant<br />

(g)<br />

1 F1 72.88 103.13 84.44 9.23 2.04 11.23 31.56 22.28<br />

2 F2 72.44 101.91 83.71 9.38 1.9 10.03 33.41 23.02<br />

3 F3 72.88 103.34 79.59 9.16 1.88 8.72 29.25 19.5<br />

4 F4 73.38 104.09 78.99 9.15 1.75 7.19 26.06 16.73<br />

Gm 72.89 103.12 84.18 9.23 1.89 9.29 30.07 20.38<br />

SE 0.211 0.256 0.701 0.066 0.022 0.133 0.245 0.198<br />

CD (5%) 0.596 0.725 1.982 0.186 0.061 0.376 0.694 0.56<br />

CD (1%) 0.792 0.964 2.637 0.247 0.082 0.5 0.923 0.744<br />

CV 1.634 1.406 4.708 4.026 6.495 7.129 4.613 5.967<br />

Spike length combining with more number of tillers per<br />

plant and test weight is desirable attributes of a genotype in<br />

order to obtain higher grain yield per plant. Based on overall<br />

mean performance for most of the yield contributing characters<br />

progenies viz., F 2<br />

P 6,<br />

F 2<br />

P 8,<br />

F 2<br />

P 10<br />

, F 2<br />

P 12<br />

and F 2<br />

P 13<br />

of 0.02 per cent<br />

sodium azide concentrations were identified to possess<br />

desirable combination of characters with high mean value. It<br />

is expected that true breeding genotypes with better<br />

performance would be expected in advanced generations and<br />

therefore these characters can be considered as a selection<br />

criteria for yield. These findings are in accordance with the<br />

findings of Choudhary and Das, 2001.<br />

An overall perusal of family mean revealed that with the<br />

increase in concentration of mutagen, there was a decrease in<br />

family mean of different progenies for different quantitative<br />

characters. It is evident that family means of control and smaller<br />

dose of sodium azide (0.02 per cent concentration) were almost<br />

at par for different quantitative traits whereas all the yield<br />

Table 4.<br />

Estimates of genetic parameters for different quantitative characters in different SA treated families of wheat<br />

S. No. Character Family CV GV PV GCV PCV h 2 GG<br />

1 2.64 1.04 2.43 1.40 2.14 42.73 1.88<br />

1 Days to 50% flowering<br />

2 7.36 12.61 14.00 4.90 5.17 90.06 9.58<br />

3 1.96 10.20 11.7 4.38 4.69 87.17 8.42<br />

4 3.58 2.54 3.93 2.17 2.70 64.59 3.59<br />

1 2.90 13.24 15.17 3.52 3.77 87.27 9.60<br />

2 Days to maturity<br />

2 5.66 14.23 16.97 3.70 4.04 83.90 6.99<br />

3 3.57 5.76 7.19 2.31 2.58 80.10 4.25<br />

4 2.63 2.30 4.62 1.47 2.08 49.87 2.14<br />

1 9.13 21.79 57.51 5.52 8.98 37.88 7.00<br />

3 Plant height<br />

2 5.03 17.41 29.19 4.98 6.45 59.64 7.92<br />

3 10.55 12.65 23.41 4.46 6.08 54.09 6.76<br />

4 3.60 4.33 5.32 2.34 2.59 81.44 4.35<br />

1 5.16 0.06 0.15 2.76 4.16 43.89 3.76<br />

4 Spike length<br />

2 8.52 0.25 0.35 5.28 6.34 69.84 9.07<br />

3 5.92 0.05 0.23 2.43 5.19 22.01 2.35<br />

4 4.55 0.04 0.21 2.18 5.00 19.04 1.96<br />

1 6.95 1.23 2.02 5.43 6.96 60.89 8.73<br />

5 Width of flag leaf<br />

2 5.02 1.00 2.01 5.26 7.46 49.75 4.02<br />

3 14.00 0.09 1.20 1.95 5.82 75.00 8.53<br />

4 15.18 0.06 1.04 1.39 4.88 57.89 6.92<br />

1 32.11 4.62 5.10 21.43 22.53 90.49 38.00<br />

6 Number of tillers/plant<br />

2 15.50 4.44 4.62 17.23 21.05 90.49 34.89<br />

3 16.07 1.02 2.03 8.99 12.70 50.15 13.12<br />

4 16.30 0.66 1.24 9.30 12.75 53.21 12.12<br />

1 12.23 15.73 18.25 12.50 13.50 86.19 24.00<br />

7 Test weight<br />

2 15.90 13.00 13.45 10.79 10.97 96.70 21.86<br />

3 18.33 9.03 12.68 11.44 13.57 71.15 19.88<br />

4 11.38 4.59 5.66 7.38 8.19 81.12 13.68<br />

1 12.11 1.38 3.03 6.56 9.72 85.61 19.13<br />

8 Seed yield/plant<br />

2 8.34 4.06 4.47 10.58 11.10 90.77 20.76<br />

3 11.60 1.02 3.50 5.34 9.88 69.18 15.94<br />

4 15.84 0.96 1.43 5.12 6.25 47.07 8.63<br />

Where CV= coefficient of variation, GV= Genotypic variance, PV= Phenotypic variance, GCV= Genotypic coefficient of variation, PCV= Phenotypic<br />

coefficient of variation, H 2 = Heritability, GG= Genetic gain


SUBHA et al., Effect of different concentrations of SA on the morphological and agronomical characteristics of Wheat 211<br />

attributing characters like spike length, number of tillers per<br />

plant and test weight showed marked decrease in family means<br />

consequently low yield at higher dose of sodium azide.<br />

Rachovska and Dimova, 2000 showed similar results for yield<br />

attributing characters.<br />

A close perusal of results for variability parameters<br />

further revealed that the genetic component of induced<br />

variability (GCV) varied with mutagenic treatment and<br />

characters studied (Table 4). Heritability estimates depicted<br />

that for test weight, number of tillers per plant, spike length,<br />

days to maturity and days to 50 per cent flowering it was high<br />

for most of the concentrations of sodium azide, thus indicating<br />

that these characters are govern by additive gene action and<br />

there is greater scope of selection. Similar trends of heritability<br />

for different quantitative traits in mutagenic populations have<br />

been also reported by Reddy, et al., 1994, Chaudhary and<br />

Das, 2001 and Mendulkar, 2002.<br />

Genetic advance as per cent of mean under selection in<br />

the M 2<br />

populations varied with treatments and characters<br />

studied. The study revealed that selection in the treated<br />

populations may lead to improvement up to 20.76 g in yield<br />

per plant, 21.86 g in test weight, 9.07 cm in spike length, 7.92<br />

cm in plant height and 9.60 days for maturity. Genetic advance<br />

as per cent of mean also increased in most of the treatments<br />

and it was relatively higher for different quantitative characters<br />

studied. Similar differential estimates of genetic advance in<br />

different mutagenic treatment populations for different traits<br />

have also been reported by Kalia, et al., 2001.<br />

In general, sodium azide was found effective in inducing<br />

mutations with respect to all the quantitative characters in<br />

Kalyan sona. The most effective concentration being 0.02<br />

per cent. Thus, in the present experiment, sodium azide with<br />

0.02 per cent concentration appear to be most effective<br />

mutagenic treatment for induction of micro-mutation in yield<br />

component traits and selection in M 2<br />

populations of these<br />

treatment was found effective in bringing out lines with better<br />

yield potential.<br />

From the above foregoing results and discussion, it is<br />

concluded that different doses of Sodium Azide (SA) in Kalyan<br />

sona wheat cultivar provide enough scope by developing a<br />

wide range of variation in desirable plant attributes to select<br />

the high yielding mutants. High genetic variability was induced<br />

through different doses of SA. It indicates that inducing<br />

genetic variability and improvement in quantitative traits<br />

would be possible through SA. Hence, it played a pivotal role<br />

in crop breeding through mutation and stability of genetic<br />

variability should be analyzed in succeeding generations and<br />

selection of desirable mutants could be performed for a<br />

successful breeding programme.<br />

LITERATURE CITED<br />

Burton, G.W. and De Vane, E.H. 1953. Estimating heritability in tall<br />

fescue (Festuca arundinacea) from replicated clonal material.<br />

Agronomy Journal, 45:478-481.<br />

Burton, G.W. 1952. Quantitative inheritance of grasses. Proc 6th Int,<br />

Grassland Congress, 1:277-283.<br />

Chowdhary and Das, P.K. 2001. Induced variability in protein content<br />

and quality in hexaploid wheat. Journal of Interacademicia, 1(5):<br />

1-6.<br />

Fisher, R.A. and Yates, F. 1957. Statistical tables for biological,<br />

agriculture and medical research New York, Hafner, table 38, pp.134.<br />

Johnson, H.W., Robinson, H.F. and Comstock, R.E. 1955. Estimates of<br />

genetic and environmental variability in soybeans. Agronomy Journal<br />

47: 314-318.<br />

Kalia, C.S., Kharkwal, M.C. Singh, M.P. and Vari, A.K. 2001. Mutagenic<br />

affects of environmental industrial chemical agents in inducing<br />

cytogenetical changes in wheat. Indian Journal of Genetics and<br />

Plant Breeding, 61(3):203-208.<br />

Khan, S. and Goyal, S. 2009. Improvement of mungbean varieties<br />

through induced mutations. Africa. Journal of Plant Sciences, 3:<br />

174-180.<br />

Micke, A., Maluszynski, M. and Donini, B. 1985. Plant cultivars derived<br />

from mutation for the use of induced mutants in cross breeding.<br />

Mutation Breeding Review, 3: 90-92.<br />

Mendhulkar, V.D. 2002. Synergistic effect of Sodium Azide in<br />

combination with maleic hydrazide in Triticum aestivum Linn.<br />

Advances in Plant Sciences, 15(1): 213-219.<br />

Panse, V.G. and Sukhatme, P.V. 1967. Statistical Methods of agricultural<br />

Workers. 2 nd edition, I.C.A.R Publication, New Delhi, pp.381.<br />

Rachovska, G. and Dimova, D. 2000. Effect of Sodium Azide and gamma<br />

rays on M 2<br />

quantitative characteristics of the productivity and their<br />

connection with M 2<br />

mutation changes in winter common wheat.<br />

Rasteniev dni-Nauki, 37(7): 413-419.<br />

Reddy, V.R.K., Suganthi, C.P. and Edwin, R. 1994. Mutation breeding in<br />

some cereals III mutagenic parameter. Advances in Plant Sciences,<br />

7:323-329.<br />

Reddy, V.R.K. 1998. Mutagenic parameters in single and combined<br />

treatments of gamma rays, EMS and SA in triticale, barley and<br />

wheat. Advances in Plant Sciences, 5(2): 542-553.<br />

Sato, M. and Gaul, H. 1967. Effect of EMS on fertility in barley.<br />

Radiation Botany, 7: 7-10.<br />

Steel, R.D.G. and Torrie, J.H. 1980. Principles and Procedures of<br />

Statistics. 3rd edn., McGraw Hill Konga Kusha Ltd. Book Co. Inc.,<br />

New York.<br />

Recieved on 03-04-<strong>2012</strong> Accepted on 30-09-<strong>2012</strong>


Trends in Biosciences 5 (3): 212-213, <strong>2012</strong><br />

Seroprevalence of Brucellosis in Cattle and Bufallo in Some Districts of South Bengal<br />

PRABIR KUMAR KARMAKAR, BIKASH KANTI BISWAS, SOURAV CHANDRA AND MRS. R. DAS<br />

Department of Veterinary Microbiology, West Bengal University of Animal and Fishery Sciences, 37, K.B.<br />

Sarani, Kolkata 700 037<br />

ABSTRACT<br />

In the present study all the 263 sera samples collected from<br />

cattle and buffalo from adult female animals with the history<br />

of abnormal termination of pregnancy, sterility, repeat breeding<br />

or retention of placenta, were screened for Brucella antibodies<br />

using Rose Bengal Plate Test (RBPT) and a total of 119 (45.25%)<br />

sera samples found to be positive and rest were negative. Among<br />

130 cattle sera samples from organized farm 99 (76.15%) were<br />

positive and among 57 cattle sera samples from unorganized<br />

farms 4 (7.02%) sera samples were positive reactor. Out of 76<br />

buffalo serum samples collected from organized farm 16<br />

(21.05%) were positive reactor to Brucella antibody.<br />

Key words<br />

Brucella, antibody, antigen, abortion, premature birth,<br />

infertility, RBPT.<br />

Reproductive performance plays a fundamental role in<br />

profitability of dairy herds; indeed the primary causes of<br />

economic loss accrue from infertility or sub fertility leading to<br />

culling of dairy cattle. There are many etiology i.e. brucellosis,<br />

campylobacteriosis, trichomoniasis and leptospirosis cause<br />

reproductive tract infection. Among them brucellosis<br />

obviously inflicts heavy economic losses causing abortion,<br />

premature birth, decrease in milk yield and the temporary or<br />

permanent infertility in infected cattle Blood, et al., 1983.<br />

Schwabe, 1971 stated that brucellosis alone in cattle and<br />

buffaloes in India causes an annual economic loss to the tune<br />

of Rs.240 million. This disease not only responsible for<br />

considerable economic losses in animal industry but it has<br />

great public health significance. The disease can be transmitted<br />

horizontally as well as vertically. Infected animal even after<br />

cure may release the organism through secretions. These<br />

types of latent infections can be detected through<br />

seroprevalence survey. The present programme has been<br />

undertaken to study the seroprevalence of brucellosis among<br />

cattle and buffalo in organized and unorganized farms<br />

employing serological test.<br />

MATERIALS AND METHODS<br />

Rose Bengal antigen was procured from Division of<br />

Biological Products, I. V. R.I., Izatnagar, U. P. for this study.<br />

Test cattle serum samples were collected from organized<br />

(130 nos.) and unorganized (57 Nos.) farms of North 24<br />

parganas, Nadia and Purulia districts of West Bengal. buffalo<br />

serum sample (76Nos.) was collected only from organized<br />

farms. All the sera samples were collected from adult female<br />

animal with the history of abnormal termination of pregnancy,<br />

sterility, repeat breeding or retention of placenta. After<br />

inactivated at 56° C in a water bath for 30 minutes the serum<br />

samples were stored at -20° C. Rose Bengal Plate test (RBPT)<br />

was done as per method described by Alton, et al. 1975a.<br />

RESULTS AND DISCUSSION<br />

In the present study all the 263 sera samples collected<br />

from cattle and buffalo were screened for Brucella antibodies<br />

using RBPT and 119 (45.25%) sera samples found to be<br />

positive and rest were negative (Table 1). Among 130 cattle<br />

sera samples from organized farm 99 (76.15%) were positive<br />

while 4 (7.02%) sera samples give positive reaction among 57<br />

cattle samples collected from unorganized farms. Out of 76<br />

buffalo serum samples collected from organized farm 16<br />

(21.05%) were positive reactor to Brucella antigen.<br />

These results support the observation of Hadad and<br />

Jamaluddin, 1992 where 77.8% serum samples were positive<br />

to Brucella antibody, but the results reported by Nag, et al.,<br />

1979 i.e. 24.5% positivity were much lower than the present<br />

observations. The seropositivity of the samples in the study<br />

from organized and unorganized farms are similar to the<br />

observation of Mehra, et al., 2000 where seropositivity of<br />

samples from organized farms were much higher than the<br />

samples from unorganized farms.<br />

Table 1.<br />

Seroprevalence of brucellosis in cattle and buffalo by RBPT<br />

Species Source No. of sera sample tested<br />

RBPT<br />

Positive<br />

Negative<br />

Cattle<br />

Organized farm 130 99 (76.15%) 31(23.85%)<br />

Un-organized farm 57 4 (7.02%) 53 (92.98%)<br />

Buffalo Organized farm 76 16 (21.05%) 60 (78.95%)<br />

Total 263 119 (45.25%) 144 (54.75%)


KARMAKAR et al., Seroprevalence of Brucellosis in Cattle and Bufallo in some Districts of South Bengal 213<br />

LITERATURE CITED<br />

Alton, G.G., Jones, L.M. and Pietz, D.E. 1975a. Laboratory Technique<br />

In Brucellosis. 2 nd Edn. W.H.O. Monograph Series No. 55, Geneva.<br />

Blood, D.C., Rodostita, O.M., Henderson, J.A., Arundel, J.H. and Gay,<br />

C.C. 1983. Veterinary Medicine, ELBS, Bailliere, Tindal.<br />

Hadad, J.J. and Jamaluddin, N.M.A. 1992. The prevalence of brucellosis<br />

in cattle in Ninevah province, Iraq. Iraqi Journal of Veterinary<br />

Science, 5(2): 159-164.<br />

Mehra, K.N., Dhaneswar, N.S. and Chaturvedi, V.K. 2000.<br />

Seroprevalance of brucellosis in bovines in Madhya Prodesh, Indian<br />

Vet. J., 77(7): 571-573.<br />

Nag, N.C., Kanjilal, B.C. and Roy, J.P. 1979. Brucellosis in cows and<br />

buffalos in West Bengal. Indian J. Anim. Hlth., 16(1): 89-90.<br />

Schwabe, C.W. 1971. Report of the first WHO regional seminar on<br />

Veterinary Public Health, held at Mukteswar from 8-18 th , 1970,<br />

(WHO Project; SEARO, 0168) Wld. Hlth. Org. Regional Office for<br />

South East Asia, SEA/VPH/9, 11 January.<br />

Recieved on 24-04-<strong>2012</strong> Accepted on 05-09-<strong>2012</strong>


Trends in Biosciences 5 (3): 214-217, <strong>2012</strong><br />

Production of Cellulase and Bioethanol from Lignocellulosic Materials Using<br />

Aspergillus niger and Sacchromyces cerevisiae<br />

AKHILESH B<strong>IN</strong>D 1 , BUDH PRAKASH KANOUJIA 1 , NABEEL AHMAD 3 , SAMA. MASIH 2 AND<br />

ABHISHEK SHARAN 1<br />

1<br />

Department of Biochemistry and Biochemical Engineering, Sam Higginbottom Institute of Agriculture,<br />

Technology and Sciences, Allahabad 211 007<br />

2<br />

Centre for Transgenic Studies, Sam Higginbottom Institute of Agriculture, Technology and Sciences, Allahabad<br />

211 007<br />

3<br />

School of Biotechnology, IFTM University, Moradabad 244 001<br />

e-mail: horton037@yahoo.co.in<br />

ABSTRACT<br />

Agricultural crop residues viz. sugarcane bagasse, wheat straw,<br />

wheat bran, rice husk, banana peel and orange peel have great<br />

potential to produce bioethanol as they have immense quantity<br />

of carbon source. These agricultural crop residues were pretreated<br />

with NaOH for delignification and then subjected to<br />

solid state fermentation for the production of cellulase enzyme<br />

using Aspergillus niger. Cellulase production parameter such<br />

as pH, incubation period and temperature were optimized.<br />

Activity of cellulose was checked by FPase method which was<br />

found as 3.69 U/ml from wheat bran at pH 6 and at 28 0 C after 6<br />

days of incubation and the cellulase was produced under these<br />

optimum conditions. Subsequently enzymatic hydrolysis was<br />

done as cellulase play a catalytic role in the hydrolysis of<br />

cellulose to glucose monomer units, so that it could be further<br />

converted into ethanol. After enzymatic hydrolysis, glucose<br />

released was inoculated with Sacchromyces cerevisiae (MCCB<br />

0278) under optimum condition which converted glucose into<br />

ethanol. After this, fractional distillation was done for the<br />

purification of bio-ethanol produced and specific gravity was<br />

also checked.<br />

Key words<br />

Bioethanol, Aspergillus niger, cellulase enzyme, solid<br />

state fermentation, saccharomyces cerevisiae, specific<br />

gravity<br />

Aspergillus spp. is the best producer of cellulose in<br />

twenty nine fungal strains that were isolated from agriculture<br />

wastes, Abostate, et al., 2010. Aspergillus niger and<br />

Saccharomyces cerevisiae can be chosen for ethanol<br />

fermentation because of its high ethanol tolerance and high<br />

rate of fermentation activity (Yang and Zhang, 2005). Ethanol<br />

fermented from renewable sources for fuel or fuel additives<br />

are known as bio-ethanol. Additionally, the ethanol from<br />

biomass-based waste materials is considered as bio-ethanol.<br />

Currently, there is a growing interest for ecologically<br />

sustainable bio-fuels. Using ethanol as a fuel decreases fossil<br />

fuel consumption and increases energy supply security. It<br />

can be used neat or blended with gasoline. Additionally, it is<br />

considered biodegradable and sulphur free. Its carbon content<br />

has a vegetable origin and as a consequence, when it is<br />

released during the combustion process, it does not contribute<br />

to the increase of CO 2<br />

in the atmosphere, reducing global,<br />

warming (Liimatainen, et al., 2004).<br />

Ethanol production from cellulosic materials by direct<br />

bioconversion is highly encouraging and its commercial<br />

production is established in countries like Brazil, Canada and<br />

USA. The economics of ethanol production by fermentation<br />

is significantly influenced by the cost of raw materials,which<br />

accounts for more than half of the production cost. In recent<br />

years, efforts have been directed towards the utilization of<br />

cheap renewable agricultural resources (Manikandan, et al.,<br />

2007).<br />

MATERIALS AND METHODS<br />

Collection of culture<br />

Pure culture of Aspergillus niger (MCCB0202) and<br />

Saccharomyces cerevisiae (MCCB0278) were procured from<br />

the research laboratory of Microbiology and Fermentation<br />

Technology, SHIATS, Allahabad. The cultures were<br />

maintained on PDA medium at 4 0 C. The slants were grown at<br />

28±2 0 C for 3 days.<br />

Preparation of substrates<br />

The agro residues were screened for bioethanol<br />

production and collected from local market of Naini, Allahabad.<br />

The substrates were powdered in grinder to get the small size.<br />

The substrates were hydrolysed at 10psi for 30min, with 2%<br />

NaOH at concentration range 1% of crushed substrates, and<br />

the alkali hydrolyzates were cooled at room temperature. The<br />

solution was neutralized with Acetic acid to remove the lignin<br />

surface. The treated substrates were subjected to heat<br />

treatment by autoclave. The substrates were autoclave for 1<br />

hr at 121 0 C.After the heat treatment, substrates were washed<br />

using distilled water and then neutralized by acetic acid and<br />

NaOH. The substrates were dried at 60 0 C in oven for 12 h.


B<strong>IN</strong>D et al., Production of cellulase and bioethanol from lignocellulosic materials using Aspergillus niger 215<br />

Inoculum preparation<br />

The production media was inoculated with 1 % of revived<br />

yeast culture and incubated under constant condition at 28±2 0<br />

C for 4 days. Fungal culture was inoculated onto PDA medium<br />

in the slant, after 72 hr, the spores were harvested using<br />

sterilized water with 0.1% Tween 80. For inoculation, 3 ml of<br />

spore suspension was used.<br />

Optimization of process parameters for the production of<br />

cellulase<br />

Optimization parameters<br />

Different optimization parameters such as pH,<br />

temperature and incubation period was carried out for maximum<br />

cellulose production by varying physical conditions of<br />

culturing biomass in substrate to find out suitable optimised<br />

condition for enzyme production on combination of different<br />

agro-residues.<br />

For pH optimisation the inoculation of A.niger was<br />

carried out at different pH i.e. 3, 4, 5, 6, 7, 8 and 9 for maximal<br />

enzyme (cellulase) production. For temperature optimisation,<br />

the inoculation of A. nigerwas carried at different temperature<br />

i.e. 20, 22, 25, 28, 33, 37 and 40 for maximal enzyme production<br />

and for incubation period the inoculation of A. Niger was<br />

incubated for 48, 72, 96, 120, 144, 168 and 192 hrs for maximal<br />

enzyme production.<br />

Extraction of Cellulase<br />

After 5 days of incubation, the cellulose extraction was<br />

done from the fermented matter by citrate buffer. 50 ml of 0.1M<br />

citrate buffer, pH 4.8 was added to the SSF medium for cellulase<br />

extraction. The mixture was vigorously homogenized on a<br />

rotary shaker for 30 min at 200 rpm. The solid biomass residues<br />

were separated from the suspension by filtration through<br />

Whattman filter paper no. 1. The filtrate was used as crude<br />

enzyme activity.<br />

Estimation of Cellulase Activity<br />

The cellulase activity was measured as filter paper<br />

(FPase) assay. In a test tube, 1.5 ml of 0.05 M sodium citrate<br />

buffer having pH 4.8 was taken. To this 0.5 ml of enzyme was<br />

added. One strip of Whatman no. 1 filter paper (weighing 50<br />

mg) was put into test tube. The test tube along with blank was<br />

kept in a water bath at 50 0 C for 60 min. After 60 min the tubes<br />

were taken out and 3 ml of DNSA reagent was added to the<br />

tubes. The tubes kept on a vigorously boiling water bath for<br />

5 min. After cooling, 5 ml of water was added to equalize the<br />

reaction mixture to a volume of 10 ml. The contents were mixed<br />

well. Then the filter paper pulp was allowed to settle down.<br />

After this, the colour formed was read at 540 nm using UV<br />

spectrophotometer. The amount of glucose was known by<br />

referring to standard graph of glucose. One unit of enzyme<br />

activity is the one micromole of glucose released per min.<br />

Enzymatic Hydrolysis/Saccharification<br />

Enzymatic hydrolysis was carried out in reaction mixture<br />

containing 5 g of pre-treated substrates in 100 ml of citrate<br />

buffer (pH 4.8) with 5 U/ml of crude cellulase. The pH was<br />

adjusted to 4.5 in all the flasks. The reaction mixtures were<br />

incubated on rotary shaker at 50 0 C, 75 rpm for 24 hrs. After 24<br />

hrs, the samples were boiled for 2 min to denature enzyme and<br />

then centrifuged at 5000 rpm for 15 min. The supernatants<br />

were collected and used for fermentation.<br />

Bioethanol Fermentation<br />

The fermentation was carried out by solid state<br />

fermentation. The volume was again adjusted to 100 ml. The<br />

pH of the suspension adjusted to 4.5. The flasks containing<br />

the hydrolyzed samples were covered with cotton wool,<br />

wrapped in aluminium foil, autoclaved for 15 min at 121 0 C and<br />

allowed to cool room temp. The sterilized flasks were inoculated<br />

with 2 ml of 24 hrs old yeast culture i.e S. cerevisiae and under<br />

anaerobic condition. Harvesting was done by centrifugation<br />

at 5000 rpm for 20 min.<br />

Purification of Bioethanol by Fractional Distillation<br />

After 10 days of fermentation, the fermented substrates<br />

were filtered and dispensed into round bottom flask fixed to a<br />

distillation column enclosed in running tap water. A conical<br />

flask was fixed to the other end of the distillation column to<br />

collect the distillate. A heating mantle with the temperature<br />

adjusted to 78 C for 6-7 hrs was used to heat the roundbottomed<br />

flask containing the fermented broth.<br />

Specific Gravity of Bioethanol<br />

Specific gravity bottle was cleaned with a mixture of<br />

chromic acid and nitric acid followed by thorough washing<br />

with water. It was rinsed with dist. water and finally with<br />

alcohol, it was dried in oven. The empty bottle was weighed<br />

with stopper. With the help of pipette the ethanol was added<br />

to the bottle and its weight was measured along the stopper.<br />

The alcohol was removed from the bottle and dried in oven.<br />

The dried bottle was filled with water avoiding any air bubbles<br />

and weighed.<br />

RESULTS AND DISCUSSION<br />

Effect of Incubation<br />

The effect of different incubation period at constant<br />

temperature and pH on cellulase production is shown. Similar<br />

pattern of enzyme production and productivity profiles were<br />

exhibited for all the different incubation days used. The<br />

maximum activity was obtained at 144 hrs of incubation for all<br />

substrates (Table 1). This result was more or less similar with<br />

that obtained by Jeeu, 2000 and Narasimha, et al., 2006. They<br />

reported that optimum incubation period of cellulolytic<br />

enzymes during SSF of lignocellulosic residues was 3 to 8


216 Trends in Biosciences 5 (3), <strong>2012</strong><br />

days. Based on the results obtained, the incubation period of<br />

the medium was adjusted to 144 hrs.for A. niger in subsequent<br />

studies.<br />

Effect of pH<br />

As shown in figure 1 that initial pH of the medium has<br />

profound effect on cellulase production. The cellulase<br />

production by A. niger in varying pH of showed highest values<br />

of cellulose activity (3.69 U/ml from wheat bran) at pH 6. The<br />

initial pH of the medium has a great effect on the growth of the<br />

organism, permeability membrane, as well as on the<br />

biosynthesis and stability of the enzymes (Table 2, Fig. 2).<br />

These data suggest that the enzyme systems within the same<br />

species may vary, depending on the strain under study. Based<br />

on the results obtained, the initial pH of the medium was<br />

adjusted to pH 6 for A. niger in subsequent studies.<br />

The Effect of Incubation Temperature<br />

Incubation temperature plays an important role in the<br />

metabolic activities of a microorganism. In the present study<br />

the optimum temperature for maximum enzyme production<br />

(3.65 U/ml from wheat bran) was recorded at 28ºC under SSF<br />

(Table 3, Fig.3). The results of the present study confirm the<br />

findings of Ali, et al., 1991 reported maximum yield of cellulase<br />

from Aspergillus niger Z10 strain and A. terreus at 40ºC,<br />

respectively in SSF. In general the temperature maintained in<br />

SSF system is in the range of 25 to 35ºC and depends on the<br />

growth kinetics of the microorganism employed rather than<br />

on the enzyme produced. Asquieri and Park, 1992 found that<br />

the optimum temperature for production of CMCase from<br />

thermostable Aspergillus sp. was 37ºC, whereas the maximum<br />

cellulase production was observed at 40ºC for Aspergillus<br />

terreus QTC 828.<br />

Specific gravity of Ethanol<br />

Specific gravity bottle was cleaned thoroughly with a<br />

mixture of chromic acid and nitric acid followed by distilled<br />

water and finally with alcohol and dried in oven.Weight of<br />

empty specific gravity bottle with stopper was taken. Ethanol<br />

was pipette into the specific gravity bottle and its weight is<br />

again measured along with stopper. Alcohol was removed<br />

from the specific gravity bottle and dried in oven.The dried<br />

specific gravity bottle was filled with distilled water avoiding<br />

any air bubble and stopped in the same manner and weighted<br />

accurately. Calculation for specific gravity was done as<br />

follows:<br />

Fig. 1. Activity of cellulase at different incubation period Fig. 2. Cellulase activity at different pH<br />

Fig. 3. Activity of Cellulse at different incubation temperature Fig. 4. Specific activity of cellulose enzyme


B<strong>IN</strong>D et al., Production of cellulase and bioethanol from lignocellulosic materials using Aspergillus niger 217<br />

Table 1.<br />

Cellulase activity at different incubation period<br />

Incubation<br />

FPase activity (U/ml)<br />

period (hrs) Banana<br />

peel<br />

Orange<br />

peel<br />

Rice<br />

husk<br />

Sugarcane<br />

bagasse<br />

Wheat<br />

bran<br />

Wheat<br />

straw<br />

48 1.11 1.21 1.78 1.32 1.89 1.55<br />

72 1.77 1.56 1.77 1.67 1.99 1.78<br />

96 1.80 2.01 2.13 1.77 2.23 1.83<br />

120 2.58 2.20 2.89 2.20 2.97 2.22<br />

144 3.06 3.03 3.34 2.91 3.43 3.16<br />

168 2.97 2.91 3.09 2.82 3.21 3.13<br />

192 2.66 2.87 2.97 2.67 3.02 2.99<br />

Table 2.<br />

Cellulase activity at different pH concentration<br />

pH<br />

FPase activity(U/ml)<br />

Banana<br />

peel<br />

Orange<br />

peel<br />

Rice<br />

husk<br />

Sugarcane<br />

bagasse<br />

Wheat<br />

bran<br />

Wheat<br />

straw<br />

3 2.10 1.43 1.95 1.34 2.32 1.87<br />

4 2.82 1.61 2.21 1.69 2.54 1.72<br />

5 2.26 2.86 2.97 2.60 3.16 2.91<br />

6 3.55 3.18 3.24 3.53 3.69 3.58<br />

7 2.61 2.85 2.99 2.19 3.11 2.11<br />

8 2.34 2.98 3.11 2.71 3.01 2.18<br />

9 2.09 2.11 1.09 1.12 0.97 0.98<br />

Specific gravity = Weight of alcohol * density of water<br />

Weight of water<br />

The specific gravity of bioethanol was found 0.77 (Table<br />

4, Fig. 4 ) for wheat bran which is closest to the absolute value<br />

of 0.74<br />

Bioethanol production by solid state fermentation using<br />

lignocellulosic materials has been considered as an excellent<br />

alternative for reusing these wastes with additional<br />

technological and economic advantages. Production of<br />

bioethanol was carried out from these materials using<br />

Aspergillus niger and Sacchromyces cerevesiae. This study<br />

conducted for the determination of cellulase activity and<br />

glucose concentration at varying pH, for different incubation<br />

period and at altering incubation temperature. The results<br />

indicates the highest production of cellulase (3.69 U/ml) and<br />

hence ethanol at pH6 for incubation period of 6days at<br />

incubation temperature 28 o C from wheat bran. The specific<br />

gravity of bioethanol was found 0.77 for wheat bran which is<br />

closest to the absolute value of 0.74. This result concludes<br />

that wheat bran is more efficient than any other substrate for<br />

cellulase and ethanol production.The other substrates too<br />

have great potential for the same. So it will be beneficial if<br />

further detailed studies on bioethanol production from<br />

agricultural wastes using A. niger and S. cerevisiae through<br />

SSF method be conducted.<br />

Table 3.<br />

Cellulase activity at differe nt incubation<br />

temperature<br />

Incubation<br />

FPase activity (U/ml)<br />

temperature Banana Orange Rice Sugarcane Wheat Wheat<br />

( 0 C) peel peel husk bagasse bran straw<br />

20 1.21 1.01 0.91 0.98 1.43 1.24<br />

22 2.66 2.51 2.43 2.48 2.13 2.23<br />

25 2.22 3.11 3.22 2.55 3.59 3.11<br />

28 3.17 3.22 3.34 3.01 3.69 3.21<br />

33 2.91 3.03 2.83 2.89 3.12 2.91<br />

37 2.41 2.93 2.27 2.11 2.29 1.99<br />

40 2.21 2.77 2.22 2.01 2.33 2.11<br />

Table 4. Specific gravity<br />

Substrates<br />

Specific gravity<br />

Banana peel 0.91<br />

Orange peel 0.81<br />

Rice husk 0.79<br />

Sugarcane bagasse 0.89<br />

Wheat bran 0.77<br />

Wheat straw 0.83<br />

LITERATURE CITED<br />

Abostate, M.A.M., Hammad, A.I., Swelim, M. and Gannam, R.B. 2010.<br />

Enhanced Production of Cellulase(s) by Aspergillus spp. Isolated<br />

From Agriculture Wastes by Solid State fermentation American-<br />

Eurasian. J. Agric. and Environ. Sci. 8: 402-410.<br />

Ali, S., Sayed, A., Sarker, R.I. and Alam, R. 1991. Factors affecting<br />

cellulase production by Aspergillus terreus using water hyacinth.<br />

World J. Microbiol. Biotechnol. 71: 62-66.<br />

Asquieri, E.R. and Park, Y.K. 1992. Production of extracellular cellulases<br />

from the thermostable Aspergillus sp. Rev. Microbiol., 23: 183-<br />

188.<br />

Jeeu, L. 2000. Solid state fermentation of agricultural wastes for<br />

endogluconase production industry. Crops Production.11: 1-5.<br />

Liimatainen, H., Kuokkanen, T. and Kaariainen, J. 2004. Development<br />

of Bio-ethanol Production from Waste Potatoes. Oulu University<br />

Press. 123-129.<br />

Manikandan, K., Saravanan, V. and Viruthagiri, T. 2008. Kinetics studies<br />

on ethanol production from banana peel waste using mutant strain<br />

of Saccharomyces cerevisiae. Ind. J. of Biotechnol., 7: 83-88.<br />

Narasimha, G., Sridevi, A., Viswanath, B., Chandra, M.S. and Rajasekhar,<br />

R.B. 2006. Nutrient effects on production of cellulolytic enzymes<br />

by Aspergillus niger. Afric.J. of Biotech., 5: 472-476.<br />

Yang, X.G. and Zhang, W.G. 2005. A Shortcut to the Production of<br />

High Ethanol Concentration from Jerusalem Artichoke Tubers.<br />

Food Technol. Biotechnol., 43: 241-246.<br />

Recieved on 13-08-<strong>2012</strong> Accepted on 25-09-<strong>2012</strong>


Trends in Biosciences 5 (3): 218-219, <strong>2012</strong><br />

Lipid Peroxidation as Biomarker for Evaluating the Level of Toxicity in Nostoc<br />

muscorum under Multiple Stress<br />

KHAN UZMA AFTAB 1 , RAJESH CHATURVEDI AND IFFAT ZAREEN AHMAD 2<br />

Department of Biotechnology, Integral University, Dasauli, Kursi Road, Lucknow<br />

e-mail: uzma.aftab@rediffmail.com 1 , iffat77@rediffmail.com 2<br />

ABSTRACT<br />

Heavy metals are chemically or biologically non degradable.<br />

Malondialdehyde (MDA) is a cytotoxic product of lipid per<br />

oxidation and an indicator of free radical production. We have<br />

use lipid per oxidation as biomarker to check the level of<br />

toxicity of heterocystous cyanobacteria Nostoc muscorum under<br />

single (NaCl, 100mM) and multiple stress (NaCl and chloride<br />

of heavy metal, 10µM). Each metal with salt stress has been<br />

used as a multiple stress individually. Increase in biomass was<br />

observed in some of the test culture show great adaptation in<br />

the stress. Result could be summarized as Pb > Mg, Zn > Cd,<br />

Mn > Cont > Co. Multiple stressed culture however depicts<br />

different results than single stress. Order of toxicity shown as<br />

Pb > Mg > Mn > Cd > Zn > Cont > Co. Heterocystous<br />

cyanobacterial biofertilizer is an excellent replacement of<br />

chemical fertilizer.<br />

Key words<br />

MDA, lipid per oxidation, ROS, free radical, cellular<br />

damage<br />

The use of different chemical fertilizers resulted in<br />

different abiotic stresses, especially salinity and heavy metals,<br />

and thus reduced soil fertility and created stagnant crop<br />

productivity (Chaoui, et al., 1997). Salinity alters the<br />

physicochemical properties of soil, but is also harmful to<br />

microbial flora including cyanobacteria (Heath and Packer,<br />

1968). Photosynthetic microorganisms including<br />

cyanobacteria are highly sensitive to heavy metal ions (Lang,<br />

1968, LEs and Walker, 1984, Mittova, et al., 2000). The<br />

prokaryotic cyanobacteria serve as an excellent tool for<br />

studying the effect of heavy metals on photosynthetic activity<br />

owing to their close similarity with the chloroplast (Rama and<br />

Prasad, 1998). Microorganisms could be used to clean up metal<br />

contamination. Organisms respond to heavy metal stress using<br />

different defence systems, making complexes and the<br />

synthesis of binding proteins such as metallothioneins (MTs)<br />

or phytochelatins (PCs).<br />

MATERIALS AND METHODS<br />

The culture of Nostoc muscorum was obtained from the<br />

University of Allahabad, Allahabad, Uttar Pradesh, India.<br />

Cultures were grown and maintained in nitrate-free BG 11<br />

medium [8] sets of culture was grown in Batch culture under<br />

heavy metal stress, Nostoc muscorum under single (NaCl,<br />

100mM) and multiple stress (NaCl and chloride of heavy metal,<br />

10µM). Alkaline earth metal used in this study are Pb, Zn, Cd,<br />

Co, Mg and Mn individual metal with salt stress has been<br />

used as a multiple stress individually with no stress culture<br />

serve as control for single stress and salinity stressed culture<br />

as control for multiple stress.<br />

Cultures were maintained at 27°C±1°C under fluorescent<br />

illumination of 30-40 µEm -2 s -1 , exposed to a 12 h light / 12 h<br />

dark photoperiod and swirled manually for five minutes, thrice<br />

daily.<br />

Enzyme extraction<br />

The level of lipid peroxidation (LPX) was measured in<br />

terms of malondialdehyde (MDA), a product of LPX estimated<br />

by thiobarbituric acid (TBA) reaction [9]. Fresh algal sample<br />

(0.5 g) was homogenized in 5 mL of 10% (W/V) trichloro acetic<br />

acid (TCA), and the homogenate was centrifuged at 7000 ×g<br />

for 10 min. One ml of the supernatant was mixed with 2 mL of<br />

0.5% TBA solution (in 10% TCA). Then the mixture was heated<br />

at 95°C for 45 min and then cooled under room temperature.<br />

The supernatant was read at 532 nm.<br />

RESULTS AND DISCUSSION<br />

Data pertaining to cellular damage and free radical<br />

accumulation in terms of malondialdehyde under single and<br />

multiple stress are compiled in Fig. 1 and Fig. 2. MDA content<br />

was estimated after 10 th day the microorganism was subjected<br />

to stress. Some of the test culture show great adaptation in<br />

Malondialdehyde%<br />

Fig. 1.<br />

120<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

Conc Mg Mn Co Cd Zn Pb<br />

Heavy metal stress (10µM)<br />

Day 10<br />

Day 12<br />

Day 14<br />

Effect of single stress [heavy metal chloride (10µM)]<br />

on the growth of Nostoc muscorum measured on the<br />

10 th , 12 th and 14 th days. Each set (from left to right)<br />

represents stress exerted by metals in terms of MDA<br />

due to lipid per oxidation. 1st, 3rd, 5th, 7th, 9th and<br />

11th days. Each set (from left to right) represents 0.0,<br />

0.05, 0.10, 0.15, and 0.20mg Cu/L, respectively.


AFTAB et al., Lipid Peroxidation as Biomarker for Evaluating the Level of Toxicity in Nostoc muscorum 219<br />

Malondialdehyde%<br />

Fig. 2.<br />

120<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

Conc Mg Mn Co Cd Zn Pb<br />

Heavy metal(10µM) and NaCl (100mM) stress<br />

Day 10<br />

Day 12<br />

Day 14<br />

Effect of multiple stress [heavy metal chloride (10µM)<br />

and NaCl (100mM)] on the growth o f Nostoc<br />

muscorum measured on the 10 th , 12 th and 14 th days.<br />

Each set (from left to right) represents stress exerted<br />

by metals in terms of MDA d ue to lipid per<br />

oxidation.<br />

the stress and show increased cell division than control<br />

(culture serving with no stress). Lead has shown greater<br />

production of MDA which is considered as a measure of LPO<br />

status, Zinc and magnesium show similar level of toxicity<br />

similarly cadmium and manganese show same ROS production.<br />

Test culture in cobalt stress shows excellent adaptation less<br />

production of ROS. Result could be summarized as Pb > Mg,<br />

Zn > Cd, Mn >Cont > Co. Multiple stressed culture however<br />

depicts different results than single stress. No two metals<br />

showed similar level of toxicity. Order of toxicity shown as Pb<br />

> Mg > Mn > Cd > Zn > Cont > Co Culture in single stress<br />

shows lesser formation of free radicals than multiple stress<br />

except magnesium and zinc .Cadmium, lead, magnesium, zinc,<br />

show enhancement in lipid per oxidation than control. Level<br />

of toxicity was shown was recorded for all the three alternate<br />

days.<br />

The present study provide evidence of oxidative damage<br />

to the test microorganism under multiple and single stress.The<br />

interaction between heavy metal and NaCl appeared to be<br />

antagonistic as the depression of growth and physiological<br />

activities by a mixture of the two was lesser than that caused<br />

by either of these. These observations form the report on the<br />

response of a metal resistant strain of cyanobacterium to<br />

salinity.The level of MDA in the tissue is considered a measure<br />

of lipid peroxidation status. ROSs are known to damage cellular<br />

membranes. They also can damage DNA, proteins, lipids and<br />

chlorophyll. Culture in multiple stress show reduction in<br />

growth could be due to inhibition of normal cell division by<br />

metal is primarily attributed to their binding to sulphahydryl<br />

group which is necessary for cell division. Thus, the increased<br />

level of MDA suggests that metal ions stimulate free radical<br />

generating capacity of the microorganism. Increased MDA<br />

level has been reported in several higher plants also.<br />

Salinity-induced lipid peroxidation in N. muscorum (Fig.<br />

1) finds support from the results reported in A. doliolum and<br />

Scytonema javanicum, respectively, exposed to salt stress.<br />

Among the different ROS, H 2<br />

O 2<br />

is of great significance owing<br />

to its enormous stability and role as a secondary messenger<br />

to regulate the expressions of defense genes. The result of<br />

salinity promoting H 2<br />

O 2<br />

production in N. muscorum (Fig. 2)<br />

finds support from observations in hyper-accumulation in saltexposed<br />

wheat. The foremost reason of ROS production in<br />

cyanobacteria is altered energy transfer from excited Chl to<br />

molecular oxygen during photosynthesis.<br />

LITERATURE CITED<br />

Chaoui, et al. 1997. Cadmium and zinc induction of lipid peroxidation<br />

and effects on antioxidant enzyme activities in bean (Phaseolus<br />

vulgaris L.). Plant Sciences, 127:139-147.<br />

Lang, N.J. 1968. The fine structure of blue-green algae. Annu Rev<br />

Microbiol, 22: 15-46.<br />

LEs, A. and Walker. 1984. Toxicity and binding of copper, zinc and<br />

cadmium by the blue-green alga, Chroococcus paris. Water Air Soil<br />

Pollution, 23: 129-139.<br />

Mittova V., et al. 2000. Activitiesof SOD and the ascorbate-glutathione<br />

cycle enzymes in subcellular compartments in leaves and roots of<br />

the cultivated tomato and its wild salt-tolerant relative Lycopersicon<br />

pennellii. Physiol. Plant. 110: 45.<br />

Rama and Prasad 1998. Copper toxicity in Ceratophyllumdemeresum<br />

L. (Coontail), a free floating macrophyte: Response of antioxidant<br />

enzymes and antioxidants. Plant Sciences, 138: 157.<br />

Recieved on 15-07-<strong>2012</strong> Accepted on 28-09-<strong>2012</strong>


Trends in Biosciences 5 (3): 220-221, <strong>2012</strong><br />

Isolation and Identification of Algae from Dhemaji District of Assam, India<br />

JYOTI PRASAD LAHAN, RITUPARNA KALITA, SUDIPTA SANKAR BORA, ARCHANA DEKA,<br />

ROB<strong>IN</strong> CH. BORO AND MADHUMITA BAROOAH*<br />

Department of Agricultural Biotechnology Assam Agricultural University Jorhat 13, Assam<br />

*e-mail: m17barooah@yahoo.co.in<br />

ABSTRACT<br />

The occurrence of diverse crops and microbes in Assam indicate<br />

the potential existence of algal diversity in this region. However,<br />

reports on the occurrence and diversity of the algae resources<br />

in this region are very scarce. Although algae have received<br />

significant interest due to their pivotal role in agriculture,<br />

environment and industry, relatively little is known about the<br />

existence and extent of algal diversity in Assam. Keeping this<br />

in mind, a study was undertaken to document the diversity of<br />

algae occurring in Dhemaji district of Assam. A total no. fifty<br />

nine species belonging to Chlorophyceae, Cyanophyceae,<br />

Euglenophyceae, Bacillariophyceae and Xanthophyceae<br />

families were documented. Chlorella species was most<br />

frequently encountered during the study.<br />

Key words<br />

Chlorophyceae, Cyanophyceae, Euglenophyceae,<br />

Bacillariophyceae, Xanthophyceae, Chlorella<br />

Assam with its unique bio-geographical features is a<br />

store house of biological resources and genetic diversity.<br />

Assam being at the centre of the North-Eastern region has<br />

been reported as a part of biological hot spot (Bhagabati, et<br />

al., 2006). The occurrence of diverse crops and microbes<br />

indicates to the potential existence of algal diversity in this<br />

region.<br />

The shift in climate change and rapid industrialization<br />

has increased the vulnerability of algae and accelerated the<br />

depletion of species. The distribution of algae in North-East<br />

India is scanty, have hitherto remained untapped. So it is<br />

important to evaluate their diversity and make effort to<br />

conserve. Despite of its importance, a little has been known<br />

about the existence and extent of algal diversity in Assam.<br />

Rout and Dey, 1999 contributed to the algal flora of different<br />

habitats in the district. Deb, 2005 investigated on the epilithic<br />

algae of a temporary stream at Dargakona, Cachar district of<br />

Assam. Devi, 2006 worked on the distribution and diversity<br />

of algal communities growing in pond ecosystem. Biodiversity<br />

of epilithic cyanobacteria from one of the unexplored habitats<br />

of freshwater streams of Kakoijana reserve forest of Assam<br />

has been estimated to 29 species representing 18 genera of 12<br />

families and 4 orders (Saha, et al., 2007). Till now, there is no<br />

work on detailed investigation of algal diversity in Dhemaji<br />

district of Assam has been reported. Therefore, the present<br />

investigation was made to explore and document the algal<br />

diversity in Dhemaji District of Assam.<br />

MATERIALS AND METHODS<br />

The present study site Dhemaji is at an altitude of 104 m,<br />

North-27°-28°, East- 94°-96°. It is a seasonal wetland where<br />

people are engaged in agriculture during dry period while the<br />

wetland acts as a fishery during wet period. The algal samples<br />

were collected at regular intervals (monthly) for a period of<br />

one year (2010-2011). The algae were identified by relevant<br />

monographs and recent available literature. Collected samples<br />

were cultured in laboratory by pour plate method (Toledo and<br />

Palenik, 1997) using different media i.e., BG-11, Chu-10 etc<br />

and incubated at 28 ± 2°C under 2-3 Klux light intensity with<br />

10:14 hrs photoperiods. Purification was done by repeated<br />

sub-culturing.<br />

Table 1. Details of Sample collection<br />

Sub-Division Area No. of samples GPS data pH<br />

Dhemaji<br />

Batgharia 32<br />

N= 27 0 23 / -24 / , E=94 0 31 / -32 / , Alt=97-103 m<br />

5.5-7.5<br />

Bordoloni 26<br />

N= 27 0 24 / -25 / , E=94 0 25 / -26 / , Alt=101-104 m<br />

5.0-7.5<br />

Chamarajan 29<br />

N= 27 0 28 / -29 / , E=94 0 28 / -29 / , Alt=101-103 m<br />

6.3-7.5<br />

Gogamukh 18<br />

N= 27 0 26 / -27 / , E=94 0 13 / -14 / , Alt=91-95 m<br />

5.5-7.3<br />

Maridhal 37<br />

N= 27 0 43 / -44 / , E=94 0 11 / -12 / , Alt=99-102 m<br />

5.0-7.8<br />

Machkhowa 33<br />

N= 27 0 23 / -24 / , E=94 0 31 / -32 / , Alt=105-107 m<br />

6.0-7.1<br />

Panchali 23<br />

N= 28 0 36 / -37 / , E=93 0 71 / -72 / , Alt=106-107 m<br />

5.7-7.4<br />

Jonai<br />

Akajan 15<br />

N= 27 0 33 / -34 / , E=94 0 38 / -39 / , Alt=104-106 m<br />

5.4-7.3<br />

Jonai 31<br />

N= 27 0 37 / -38 / , E=94 0 38 / -40 / , Alt=101-103 m<br />

6.1-7.7<br />

Silapather 19<br />

N= 27 0 34 / -35 / , E=94 0 39 / -40 / , Alt=105-107 m<br />

5.5-7.5<br />

Sisi Baogaon 21<br />

N= 27 0 32 / -33 / , E=94 0 36 / -37 / , Alt=101-103 m<br />

6.1-7.5


LAHAN et al., Isolation and Identification of Algae from Dhemaji District of Assam, India 221<br />

Table 2.<br />

Distribution of total algal groups in the study area<br />

Class Genus No. of species<br />

Chlorophyceae Chlorella spp. 5<br />

Scenedesmus spp. 2<br />

Spirogyra spp. 3<br />

Neochloris spp. 1<br />

Chlamydomonas spp. 2<br />

Cosmarium spp. 2<br />

Microspora spp. 1<br />

Pleodorian spp. 1<br />

Chlorococcum spp. 1<br />

Tetracystis spp. 2<br />

Cladophora spp. 2<br />

Haematococcus spp. 1<br />

Ankistrodesmus spp. 2<br />

Cyanophyceae Oscillatoria spp. 3<br />

Nostoc spp. 2<br />

Anabaena spp. 2<br />

Lyngbya spp. 3<br />

Asterocapsa spp. 1<br />

Microcystis spp. 2<br />

Calothrix spp. 1<br />

Phormidium spp. 3<br />

Spirulina spp. 2<br />

Nodularia spp. 1<br />

Xanthophyceae Stigeoclonium spp. 2<br />

Ulothrix spp. 1<br />

Zygnema spp. 2<br />

Vaucheria spp. 2<br />

Bacillariophyceae Diatom spp. 4<br />

Navicula spp. 1<br />

Euglenophyceae Euglena spp. 2<br />

Fig. 1.<br />

Geographical location of the s tudy area (Dhemaji<br />

District, Assam)<br />

RESULTS AND DISCUSSION<br />

In the present investigation a total no. 59 species<br />

belonging to Chlorophyceae, Cyanophyceae,<br />

Euglenophyceae, Bacillariophyceae and Xanthophyceae<br />

families were documented. All the sites were dominated by<br />

green algae (Chlorophyceae), among which Chlorella was<br />

most abundant followed by spirogyra. In case of<br />

cyanophyceae, Oscillatoria and Lyngbya were often<br />

encountered. Algae diversity was found to be highest in the<br />

months of June-July and was lowest in the month of December.<br />

Four species of diatoms were found in the study. (Table 1 and<br />

Table 2).<br />

Algae are promising sustainable oil source for biodiesel<br />

production. They are increasingly predicted to play a crucial<br />

role in clean environmentally sustainable future. From the<br />

present study, it was found that Dhemaji District of Assam is<br />

very rich in algal diversity where chlorophycean algae are<br />

very common.<br />

The feasibility of using algal lipids as a fuel precursor<br />

on a large scale requires not only productivity but also an<br />

environment conducive for growth of microalgal culture. The<br />

study also concluded that urbanization has led to pollution of<br />

surface water bodies resulting in decline/extinction of some<br />

species.<br />

Fig. 2.<br />

Pie chart showing comparative algal diversity in the<br />

study area.<br />

LITERATURE CITED<br />

Bhagabati, A.K., Kalita, M.C. and Baruah, S. 2006. Biodiversity of<br />

Assam: Status Strategy & Action Plan for Conservation, (eds.),<br />

Eastern Book House, New Delhi.<br />

Deb, P. 2005. Investigation on the epilithic algae of a temporary<br />

stream at Dargakona, Cachar district, Assam. M.Sc. dissertation,<br />

Dept of Ecology, Assam University, Silchar, Assam.<br />

Devi, D. 2006. Distribution and diversity of algal comm\U1ity growing<br />

in Barambaba Temple Pond,Cachar District (Southern Assam) N.E.<br />

India,M.Sc. dissertation, Dept. of Ecology, AssamUniversity, Silchar,<br />

Assam.<br />

Rout, J. and Dey, A. 1999. A study of algal flora from rice field<br />

ofIrongmara (Barak Valley, Assam). Phykos., 38(1 and 2): 19-25.<br />

Saha, S.K., Das, R., Bora, K.N. and Uma, K. 2007. Biodiversity of<br />

epilithic cyanobacteria from freshwater streams of Kakoijana<br />

reserve forest, Assam, India, Indian Journal of Microbiology, 47(3):<br />

219-232.<br />

Toledo, G. and Palenik, B. 1997. Synechococcus diversity in the<br />

California Current as seen by RNA polymerase (rpoC1) gene<br />

sequences of isolated strains. Appl. Environ. Microbiol., 63: 4298-<br />

4303.<br />

Recieved on 23-02-<strong>2012</strong> Accepted on 24-08-<strong>2012</strong>


Trends in Biosciences 5 (3): 222-224, <strong>2012</strong><br />

A Study on Impact of Watershed Development Programme in Uttar Pradesh<br />

PUSHPENDRA SAROJ * BASVAPRABHU JIRLI ** AND V<strong>IN</strong>OD KUMAR***<br />

*KVK, Lower Subansiri, Arunachal Pradesh<br />

**Department of Extension Education, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi,<br />

U.P.<br />

***Agricultural Economics & A.B.M., Sam Higginbottom Institute of Agriculture, Technology and Sciences,<br />

Deemed to be University, Allahabad<br />

ABSTRACT<br />

Natural resources viz., soil and water need to be conserved,<br />

developed and utilized efficiently due to ever depleting ground<br />

water which is the only feasible solution for conserving fresh<br />

water. The water tables are not getting recharged due to more<br />

run off (approximately 46% of the annual precipitation) 1<br />

during the monsoon season which lasts only for three months<br />

(July–September). Study was conducted in district Unnao<br />

during 2005-08. Out of sixteen blocks of the district, seven<br />

blocks were selected for the study and tow villages from each<br />

block were short listed for selecting the beneficiaries of<br />

watershed development programme. Thus a total of 210<br />

respondents from 14 villages constituted the sample for research<br />

work, beside farmers, seventy officers working in watershed<br />

development projects were selected for delineating constraints<br />

in implementation of watershed development projects. A pretested<br />

standardized interview schedule was used to collect data<br />

from the respondents using personal interview method, and<br />

cost of cultivation was calculated to measure net income of<br />

respondents. The highest increment in net income was recorded<br />

(340.00 per cent) in Maize crop. The beneficiaries who were<br />

having 4-20 plants have gone to 92 as compared to 48 during<br />

pre-project period, positive increment were recorded in majority<br />

(153.33 per cent) of the respondents having above two cows and<br />

highest increment (37.50 per cent) recorded in the number of<br />

respondents having one buffalo. The highest increment (33.33<br />

per cent) in productivity of milch animals (cows and goats both)<br />

was recorded.<br />

Key words<br />

Impact, production, watershed development<br />

India shares near about 19% of the world’s population,<br />

15% of the live stock population, while it has only 1% of the<br />

forest area, 0.5% of the pasture land and 2% land of the total<br />

geographical area of the world. Naturally, there leading<br />

pressure on the productive lands and forest. Therefore, the<br />

lands especially the farmlands in India are in the constant<br />

process of various degrees of degradation and are going very<br />

fast turning into wastelands. In accordance with the National<br />

Remote Sensing Agencies (NRSA) findings 75.05 million<br />

hectares wastelands in the country. It has been estimated that<br />

out of these around 58 million hectares are treatable and can<br />

be brought back to productive levels through watershed<br />

technology.<br />

In our country out of the total geographical area 329<br />

million ha, 143 million ha is under cultivation, 108 million ha<br />

area is rainfed (75%). Rainfed agriculture contributes about<br />

44% of the total food grain production in the country and<br />

supports 40% of the population. Bulk of pulses, oil seeds,<br />

millets, coarse grains and commercial crops like cotton and<br />

ground nut etc., are accounted by the rainfed agriculture. Thus,<br />

dryland holds great prospect of contributing substantially to<br />

country’s food production and unless the production from<br />

these areas increases, the real breakthrough in agriculture<br />

may not be possible.<br />

MATERIALS AND METHODS<br />

Study was conducted in Unnao district during 2005-<br />

08.Out of sixteen blocks of the district, seven blocks were<br />

selected for the study and two villages from each block were<br />

short listed for selecting the beneficiaries of watershed<br />

development programme. Thus a total of 14 villages were<br />

selected for the study. A group of 15 respondents from each<br />

selected village were selected randomly. Thus, a total of 210<br />

respondents from 14 villages constituted the sample for<br />

research work. Besides, seventy officers from the identified<br />

watershed development projects were also selected for this<br />

study. A pre-tested standardized interview schedule was used<br />

to collect data from the respondents by personal interview<br />

method and cost of cultivation was calculated to measure net<br />

income of the respondents.<br />

RESULTS AND DISCUSSION<br />

The impact analysis of watershed project on yield of<br />

various crops during post project period against pre project<br />

period is presented in following tables.<br />

The findings revealed that highest increment in net<br />

income were recorded (340.00%) in Maize crop followed by<br />

103.17% in Mung, 86.66% in Sesamum, 75.97% in Gram, 73.33%<br />

in Bajra, 73.06% in Mustard, 47.36% in Linseed and minimum<br />

22.62% increment in net income were recorded in wheat crop.<br />

Therefore, the findings reveal that there has been significant<br />

and positive incerement in the yield and net income of all the<br />

major crops of watershed. However, the yield level obtained<br />

are still quite low than the state average which may be<br />

attributed to the poor lands and also as the area has been<br />

recently undertaken in the watershed development


Table 1.<br />

Season crops<br />

Rabi<br />

SAROJ et al., A Study on Impact of Watershed Development Programme in Uttar Pradesh 223<br />

Changes in production, cost of production, gross income and net income per hectare<br />

Cost of<br />

cul.<br />

Rs/ha<br />

Prod.<br />

qt/ha<br />

Pre-project<br />

Gross<br />

income<br />

Rs/ha<br />

Net income<br />

Rs/ha<br />

Cost of cul.<br />

Rs/ha<br />

Prod.<br />

qt/ha<br />

Gross<br />

income<br />

Rs/ha<br />

Post- project<br />

Net income<br />

Rs/ha<br />

Percentage increase<br />

(+)or decrease(-)In<br />

net income<br />

Bajra 7000 20 11500 4500 7800 26 15600 7800 73.33(+)<br />

Sesamum 6500 8 8000 1500 7200 10 10000 2800 86.66(+)<br />

Mungneam 4715 6 7080 2365 6225 8.50 11030 4805 103.17(+)<br />

Maize 8000 15 10500 2500 9000 25 20000 11000 340.00(+)<br />

Wheat 16000 42 49900 25900 18000 50 49500 31500 21.62(+)<br />

Mustard 13200 19 25700 12500 15800 25 37500 21700 73.06(+)<br />

Gram 12600 20 28000 15400 14500 26 41600 27100 75.97(+)<br />

Linseed 2200 3 6000 3800 2400 4 8000 5600 47.36(+)<br />

programme. Similar trends of results were reported by Kumar,<br />

1990, Chandregowda and Jayararnaiah, 1990, Patel, et al., 1995,<br />

Singh and Prasad, 1998 and Verma, et al., 2004.<br />

Table 2. Change in number of trees during project period<br />

N= 210<br />

S. Number<br />

Number of households<br />

No. of trees Pre-project Post-project Percentage<br />

frequency % frequency % increase (+) or<br />

decrease<br />

(-)<br />

1. 0-10 130 (61.90) 75 (35.71) (-)42.30<br />

2. 11-20 48 (22.85) 92 (43.80) (+) 91.66<br />

3. Above<br />

20<br />

32 (15.23) 43 (20.47) (+)34.37<br />

The impact analysis of watershed project on trees during<br />

post project period against pre project period is presented in<br />

following Table 2.<br />

The findings clearly reveal that there has been<br />

tremendous increments were recorded in the plantation during<br />

post project period against pre-project period. Though number<br />

of watershed beneficiaries were having up to 10 plants,<br />

gradually decreased after the commencement of the project.<br />

The members of beneficiaries who were having 4-20 plants<br />

have gone to 92 as compared to 48 during pre-project period.<br />

The members of watershed beneficiaries who were having<br />

over 20 plants have also registered an increment of about<br />

34.37%. Therefore it is quite clear that the watershed<br />

development programme has created impact in terms of<br />

increasing plantations through various campaigners and<br />

Table 3.<br />

S.<br />

No.<br />

Number of<br />

cows<br />

Status of cows during pre-project and post-project<br />

period<br />

N= 210<br />

Number of households<br />

Pre-project Post-project<br />

frequency % % %<br />

%<br />

increase<br />

(+)or<br />

decrease(-)<br />

1. No cow 115 54.76 84 40.00 (-)26.95<br />

2. One cow 45 21.42 50 23.80 (+)11.11<br />

3. Two cows 35 16.67 38 18.09 (+)8.57<br />

4. Above two<br />

cows<br />

15 7.14 38 18.09 (+)153.33<br />

awareness programme. The obtained results are in consonance<br />

with results of earlier researchers Dhar, 1994 and Singh and<br />

Prasad, 1998.<br />

The watershed development programme and the gradual<br />

change in the mind set of the people resulted into the changes<br />

in the member of livestock reared by them, which is given in<br />

the following Table 3.<br />

The data presented in the tables 3 indicated that positive<br />

increment were recorded in majority (153.33%) of the<br />

respondents having above two cows, followed by 11.11%<br />

having one cow and 8.57% having two cows during post<br />

project period in comparison to pre-project period. Whether,<br />

number of the respondents decreased 26.95% which do not<br />

have cow during post project period in comparison to preproject<br />

period. This finding is in accordance with the result<br />

of Arya, et al., 1994 and Purohit, 1995.<br />

Table reveals that highest increment (37.50%) recorded<br />

in the number of respondents having one buffalo, followed<br />

by 27.02% and 12.90% having two buffalos and above two<br />

buffalos respectively during post project period in comparison<br />

to pre-project period. Whether, number of the respondents<br />

having no buffalo was decreased 23.63% during post project<br />

period in comparison to pre-project period. This finding is in<br />

contradiction with the result of Arya, et al., 1994 and Purohit,<br />

1995.<br />

The data presented in the Table 5 reveal that numbers of<br />

watershed beneficiaries having two goats were increased<br />

Table 4.<br />

S. Number of<br />

No. buffaloes<br />

Status of buffalos during pre-project and postproject<br />

period<br />

N= 210<br />

Number of households<br />

Pre-project Post-project<br />

frequency % frequency %<br />

%<br />

increase<br />

(+)or<br />

decrease(-)<br />

1. No buffalo 110 52.38 84 40.00 (-)23.63<br />

2. One buffalo 32 15.23 44 20.95 (+)37.50<br />

3. Two<br />

37 17.61 47 22.38 (+)27.02<br />

buffaloes<br />

4. Above two<br />

buffaloes<br />

31 14.76 35 16.67 (+)12.90


224 Trends in Biosciences 5 (3), <strong>2012</strong><br />

Table 5.<br />

S.<br />

No.<br />

Number of<br />

goats<br />

Status of goats during pre-project and post-project<br />

period<br />

N= 210<br />

Number of households<br />

Pre-project Post-project<br />

frequency % frequency %<br />

%<br />

increase<br />

(+)or<br />

decrease(-)<br />

1. No goat 65 30.95 35 16.67 (-)46.15<br />

2. One goat 39 18.57 47 22.38 (+)20.51<br />

3. Two goats 56 26.66 69 32.85 (+)23.21<br />

4. Above two<br />

goats<br />

50 23.80 59 28.09 (+)18.00<br />

23.21% followed by 20.51% and 18.00% having one goat and<br />

two goats respectively during post project period in<br />

comparison to pre-project period. Whether, numbers of<br />

watershed beneficiaries having no goats were decreased<br />

46.15% during post project period in comparison to pre-project<br />

period.<br />

The impacts of watershed development programme on<br />

livestock production (in liters) are given in Table 6.<br />

The results presented in the table indicated that highest<br />

increment (33.33%) was recorded in the productivity of cows<br />

and goats both and in case of buffalo’s productivity increased<br />

(17.64%). It might be due to more availability of green fodder<br />

and grasses grown in pasture land. And also due to increased<br />

ground water level and water resources during post project<br />

period in comparison to pre-project period. Similar trends of<br />

results were reported by Mahnot, et al., 1992, Purohit, 1995,<br />

Dhar, 1994, Arya, et al., 1994 and Patil, 1999.<br />

These results are comparatively better as compared to<br />

number of PRA based studies conducted in other parts of<br />

different states (SREPUPDASP). This is because of the fact<br />

that the watershed area selected in this study falls on uneven<br />

area where lighter weight cows are preferred more than to<br />

buffaloes. The findings also conclude that there has been<br />

tremendous increase in population of goat and cattle rearing<br />

after the introduction of the projects. The study also indicates<br />

that still the households rear livestock as supplementary<br />

enterprise, whereas agriculture still remains number one<br />

enterprise. Thus, the study suggested bringing in change in<br />

the farming system by motivating and making the farmers<br />

aware about the commercial livestock rearing.<br />

The results of the study revealed that the watershed<br />

development programme is effective due to increased income<br />

of watershed beneficiaries and also increased number of trees,<br />

number of milch animals and production and productivity<br />

Table 6.<br />

Change in productivity of milch animals<br />

(including live stock) in watershed area.<br />

LITERATURE CITED<br />

N= 210<br />

S. Animals<br />

Productivity( liter/animal )<br />

No.<br />

Pre-project Post-project Percentage<br />

increase (+)or<br />

decrease(-)<br />

1. Cow 6.00 8.00 (+) 33.33<br />

2. Buffalo 8.50 10.0 (+) 17.64<br />

3. Goat 0.75 1.00 (+) 33.33<br />

Arya, S.L., Agnihotri, Y. and Sharma, J.S. 1994. Watershed Management:<br />

Changes in animal populatioon structure, income and cattle<br />

migration, Shiwaliks, India. Ambio., 23(7): 446-450.<br />

Chandregowda, M.J. and Jayaramaiah, K.M. 1990. Impact of watershed<br />

development programme on socio-economic status, land<br />

productivity and income of small and marginal farmers. Indian<br />

Journal of Extention Education, 25(3&4): 44-47.<br />

Dhar, S.K. 1994. Rehabilitation of degraded tropical forest watersheds<br />

with people’s participation. Amblo, 23(3): 216-221.<br />

Kumar, P.N. 1990. Soil Conservation - Impact on Crop Production. A<br />

case study, Yojana, 34(20): 22-25.<br />

Mahnot, S.C., Singh, P.K. and Sharma, Y. 1992. Socio-economic<br />

evaluation of Watershed Management Project- A Case Study. Journal<br />

of Rural Development, 11(2): 219-227.<br />

Patel, N.R., Pandya, D.N. and Patel, B.J. 1995. Techno-economic<br />

change among beneficiaries farmers in watershed area. Maharashtra<br />

Journal of Extension Education, 14: 26.<br />

Patil, J.B. 1999. Evaluation of land treatment for in-situ moisture<br />

conservation in maize and sesamum crop on medium deep soil. M.<br />

Sc.(Agri), Thesis, Dr. Panjabrao Deshmulch Krishi Vidhtapeeth,<br />

Akola.<br />

Puroit, S.D. 1995. Evaluation of engineering structure under Soil<br />

Conservation Scheme- A Case Study of Chambal RVP and Sahibi<br />

FPR in Rajashtan, pp.87.<br />

Raghunandan, H.C. 2004 A study on knowledge and adoption level of<br />

soil and water conservation practices by farmers in northern<br />

Karnataka. M.Sc. (Agri) Thesis, University of Agricultural Sciences<br />

Dharwad.<br />

Singh, K.P., Prasad, R. 1998. Experience on some watershed based<br />

operational research project of Uttar Pradesh for watershed<br />

development. National Seminar on Wasteland Development :<br />

Challenges and Opportunities at Kanpur, 15.<br />

Verma, A.R., Rajput, A.M. and Srivastava 2004. Economic evaluation<br />

of national watershed development programme for rainfed<br />

agriculture in Indore district of Madhya Pradesh. Ind. J. Agric.<br />

Econ., 59(3): 368-369.<br />

Recieved on 31-05-<strong>2012</strong> Accepted on 07-09-<strong>2012</strong>


Trends in Biosciences 5 (3): 225-230, <strong>2012</strong><br />

Combining Ability Analysis for Yield and its Components in Indian Mustard (Brassica<br />

juncea L. Czern and Coss)<br />

KANHAIYA LAL 1 , RAM KRISHNA 2 , RANJEET 2 , HASMAT ALI1 AND RAMA KANT 2<br />

1<br />

Indian Institute of Pulses Research, Kanpur 208 024<br />

2<br />

Department of Genetics and Plant Breeding, C.S.A. University of Agriculture & Technology, Kanpur 208 002<br />

e-mail: kanhaiya_vis04@yahoo.co.in<br />

ABSTRACT<br />

The combining ability analysis of 10 parents and their 45 F 1<br />

s<br />

generated through diallel system of mating revealed that<br />

significant differences existed for general and specific<br />

combining ability for all the characters. Gca and sca variances<br />

were highly significant for all the characters indicating<br />

importance of both additive and non-additive gene effects in<br />

controlling the expression of various characters. Vardan, Krishna<br />

and Pusa Bahar were found to be good general combiners for<br />

seed yield and some of its component traits. Twenty crosses<br />

exhibited good combining ability for seed yield. Yield was found<br />

to be controlled predominantly by non-additive gene action.<br />

The crosses with high sca effects did not always had parents<br />

with good gca effects. Such a relationship between gca and sca<br />

indicates the importance of epistasis and the crosses are expected<br />

to produce desirable transgressive segregants if the additive<br />

ge netic system of good ge nera l co mbiner a nd the<br />

complementary epistatic effect of F 1<br />

act in the same direction<br />

to maximize the desirable yield attribute<br />

Key words<br />

Brassica juncea, combining ability, yield components.<br />

High yielding varieties contribute significantly towards<br />

increasing both production and productivity. A suitable<br />

breeding methodology and identification of superior parents<br />

are the important pre-requisites for the development of high<br />

yielding genotypes. Sound understanding of gene effects<br />

involved in the expression of various yield attributes is of<br />

prime importance in formulating any breeding methodology<br />

.Combining ability analysis provides a guideline for the<br />

assessment of relative breeding potential of parental material<br />

which can be utilized in pursuing a systematic breeding<br />

programme. (Asthana and Pandey, 1977). This possibility was<br />

explored in the present investigation and the combining ability<br />

of the desirable lines was studied.<br />

MATERIALS AND METHODS<br />

Eight cultivars viz., B 85, Urvashi, Krishna, Pusa Bahar,<br />

Pusa Jaikisan , Pusa Basant, Vardan and Sanjokta and two<br />

experimental strains viz., RK 9902, RK9901 representing a wide<br />

range of diversity for various characters were selected for the<br />

study.These parents had been maintained by self pollination<br />

for several generations and therefore may be considered as<br />

homozygous inbred lines. A complete set of 55 entries<br />

comprising 45 F 1<br />

s and their 10 parents was grown in a<br />

randomized block design with three replications at Oilseeds<br />

Research Farm, Kalyanpur of CSAUA&T, Kanpur. The parental<br />

and F 1<br />

populations were sown in single row plots. The inter<br />

spacings were kept 45 cm and 20 cm, respectively. All the<br />

recommended agronomic practices were adopted for raising a<br />

good crop. Data for 10 characters were recorded on five<br />

randomly selected plants from each row. Diallel mating<br />

technique was employed for the program.<br />

RESULTS AND DISCUSSION<br />

The variances due to gca and sca were found highly<br />

significant. The magnitude of gca variances was high than<br />

sca variences except in harves index. The estimates of ä 2 g/ ä 2 s<br />

ratio indicated that values varied in F 1<br />

generation from 0.02 to<br />

1.58 suggesting thereby that all the characters except number<br />

of secondary branches and days to maturity showed<br />

preponderance of non-additive genetic variance whereas<br />

additive variance played a major role in respect of number of<br />

secondary branches and days to maturity<br />

The estimates of gca effects for 10 parents are given in<br />

Table 2. For the developmental traits like days to flower and<br />

days to maturity, the negative and significant values of gca<br />

were considered desirable, keeping in view the fact that early<br />

flowering and early maturity are more sought after traits. On<br />

the other hand, component traits namely, number of primary<br />

branches, number of siliquae per plant, number of seeds per<br />

siliqua, 1000-seed weight and seed yield per plant including<br />

biological yield per plant and harvest index-developmental<br />

traits, the highest positive and significant values of gca were<br />

considered appropriate for selecting good general combiners.<br />

The estimates of sca effect for 45 crosses are presented<br />

in Table 3. The norms for the selection of F 1<br />

hybrids with<br />

desirable and significant sca effects were the same as listed<br />

under gca effects. The combining ability estimates obtained<br />

under certain assumptions (Griffing,1956, Kempthome and<br />

Curnow, 1961) can be translated into the variance due to<br />

additive and dominance gene effects. Such information<br />

provides nature and magnitude of gene action involved in the<br />

expression of a particular character. It helps in identification<br />

of promising parents with gca and selection of superior cross<br />

combinations having high sca effects. The combining ability


226 Trends in Biosciences 5 (3), <strong>2012</strong><br />

Table 1.<br />

Source of<br />

variation<br />

ANOVA for combining ability for 10 characters in 10 parent diallel cross of Indian mustard [Brassica juncea (L.)<br />

Czern and Coss]<br />

d. f. Days of<br />

flower<br />

Number of<br />

primary<br />

branches<br />

*Significant at 5% level of significance<br />

Number of<br />

secondary<br />

branches<br />

Days to<br />

maturity<br />

Number of<br />

siliquae per<br />

plant<br />

**Significant at 1% level of significance<br />

Number of<br />

seeds per<br />

siliqua<br />

Biological<br />

yield per<br />

plant<br />

Harvest<br />

index<br />

1000 seed<br />

weight<br />

Seed yield<br />

per<br />

plant<br />

GCA 9 25.25** 3.13** 56.21** 71.65** 83412.36** 5.40** 1986.99** 26.33** 3.47080** 193.99**<br />

SCA 44 5.79** 11.85** 27.93** 5.69** 36246.29** 3.88** 589.91** 45.32** 051720** 124.85**<br />

Error 108 0.04 0.02 0.06 0.03 8.77 0.03 0.18 0.67 0.00002 0.08<br />

Table 2.<br />

Parent<br />

Estimate of gca effects of 10 parent for 10 characters in 10 x 10 diallel cross of Indian mustard [Brassica juncea L.)<br />

Czern and Coss]<br />

Days to<br />

flower<br />

Number of<br />

primary<br />

branches<br />

*Significant at 5% level of significance<br />

Number of<br />

secondary<br />

branches<br />

Days to<br />

maturity<br />

Number of<br />

siliquae per<br />

plant<br />

**Significant at 1% level of significance<br />

Number of<br />

seeds per<br />

siliqua<br />

Biological<br />

yield per<br />

plant<br />

Harvest<br />

index<br />

1000- seed<br />

weight<br />

Seed yield per<br />

plant<br />

RK9902 1.23** -0.74** -3.63** 1.60** -107.32** 1.25** -6.57** 0.60** 0.17** -1.46**<br />

RK9901 1.56** -0.31** 0.02 3.65** 19.13** -0.79** 2.31** 0.73** 0.21** 1.19**<br />

B85 -2.38** -0.59** -1.71** -3.71** -38.05** -1.05** -25.43** -2.43** -0.93** -8.64**<br />

Urvashi 0.34** -0.34** -1.13** 0.96** -41.55** 0.80** 2.97** -2.65** -0.09** -1.93**<br />

Krishna 0.97** 0.20** 1.07** 0.77** 40.79** -0.26** 4.61** 0.38** 0.13** 1.98**<br />

Pusa Bahar 0.52** 0.39** 1.49** 0.22** 47.90** -0.09 20.03** -0.29** 0.23** 4.36**<br />

Pusa Jaikisan 0.25** 0.02 -0.54** 1.00** -105.94** 0.06 -11.85** 0.64** 0.66** -3.37**<br />

Pusa Basant 1.14** -0.04 -1.40** 1.60** -43.96** -0.19** 4.42** 0.50** 0.74** 2.91**<br />

Vard an -1.75** 0.63** 3.97** -3.51** 160.14** -0.03 13.65** 0.29** -0.59** 4.54**<br />

Sanjokta -1.89** 0.80** 1.85** -2.58** 68.86** 0.27** -4.14** 2.23** -0.51** 0,42**<br />

SE ( gî) 0.05 0.04 0.07 0.05 0.81 0.05 0.12 0.07 0.0013 0.08<br />

SE(gî-g?) 0.08 0.05 0.10 0.07 1.21 0.07 0.17 0.11 0.0019 0.12<br />

analysis (Table 4) exhibited significance of gca and sca for all<br />

the traits under study. The estimates of variances due to sca<br />

( ä 2 s) were greater than gca (ä 2 g ) variances for all the traits<br />

except number of secondary branches and days to maturity<br />

emphasizing thereby the greater role of non-additive genetic<br />

effects for seed yield and its related attributes.<br />

The general combining ability is primarily a function of<br />

additive gene action and additive x additive interaction. This<br />

information on seed yield and yield component characters is<br />

important and would greatly help in the proper classification<br />

of parental lines.<br />

Considering significant and desirable gca effects in F 1<br />

generation, parent RK 9902 was good general combiner for<br />

number of seeds per siliqua, harvest index and 1000-seed<br />

weight. While parent RK 9901 was judged to be good for<br />

number of siliqua per plant, biological yield per plant, harvest<br />

index, 1000-seed weight and seed yield per plant Parent. B 85<br />

was observed for days to flower and days to maturity, parent<br />

Urvashi emerged as good general combiner for number of<br />

seeds per siliqua and biological yield per plant, whereas parent<br />

Krishna was found so for number of primary branches,<br />

number of secondary branches number of siliquae per plant<br />

biological yield per plant, harvest index, 1000 seed weight and<br />

seed yield per plant. Parent Pusa Bahar showed significant<br />

and desirable gca effects for number of primary branches,<br />

number of secondary branches, number of siliquae per plant,<br />

biological yield per plant ;<br />

1000-seed weight and seed yield per<br />

plant. Pusa Jaikisan was identified as good general combiner<br />

for harvest index and 1000-seed weight. Parent Pusa Basant<br />

exhibited good general combining ability for biological yield<br />

per plant, harvest index ,1000- seed weight and seed yield per<br />

plant. Vardan was identified as good general combiner for<br />

days to flower, number of primary branches, number of<br />

secondary branches, days to maturity, number of siliquae per<br />

plant, biological yield per plant, harvest index and seed yield<br />

per plant. Parent Sanjokta revealed high general combining<br />

ability effects for early flowering, number of primary branches,<br />

number of secondary branches, days to maturity, number of<br />

siliquae per plant, number of seeds per siliqua, harvest index<br />

and seed yield per plant.<br />

Based on per se performance and general combining<br />

ability best parents for general combining ability were identified<br />

(Table 5a). Similarly best crosses were identified on the basis<br />

of per se performance and specific combining ability (Table<br />

5b).<br />

For seed yield per plant, 10 best F 1<br />

s were selected in<br />

descending order on the basis of their relative sca effects<br />

(Table 5c). The genotypes identified as good general<br />

combiners on the basis of gca may serve as worth while<br />

parents for the improvement of various characters through<br />

hybridization programme. The ranking of genotypes on the<br />

basis of seed yield per plant showed an association with the<br />

ranking of gca effects. Thus in the present investigation, the<br />

high yielder parents are having high general combining ability


Table 3.<br />

F1<br />

LAL et al., Combining ability analysis for yield and its components in Indian Mustard 227<br />

Estimate of sca effects for 10 characters in 10 x 10 diellel cross of Indian mustard [Brassica juncea (L.) Czern and<br />

Coss]<br />

Days to<br />

flower<br />

Number of<br />

primary<br />

branches<br />

Number of<br />

secondary<br />

branches<br />

Days to<br />

maturity<br />

Number of<br />

siliquae per<br />

plant<br />

Number of<br />

seeds per<br />

siliqua<br />

Biological<br />

yield per<br />

plant<br />

Harvest<br />

index<br />

*Significant at 5% level of significance **Significant at 1% level of significance<br />

Table 4. Estimate of components of variances ratio (ä 2 g/ä 2 s) and average degree of dominance (ä 2 s/ä 2 g) 0.5<br />

1000-<br />

seed<br />

weight<br />

Seed yield<br />

per plant<br />

RK 9902 xRK 9901 1.54** 0.67** 2.06** -0.53** 148.42** -0.30* 22.81** 7.40** 0.89** 15.75**<br />

RK 9902x385 -0.53** 0.95** 2.27** -2.30** 128.20** 1,81** 33,88** 3.55** 0.38** 11.98**<br />

RK 9902 x Urvashi -3.85** 0.50** 3.49** 1.10** 244.83** -0.04 32,75** 11.12** 0.62** 23.13**<br />

RK 9902 x Krishna 0.46* 0.16 -1.32** 1.21** -98.38** -0.08 2.13** -1.79** 0.83** -1.71**<br />

RK 9902 x Pusa Bahar -1.49** -1.03** -7.67** -5.24** -166.89** -1.15** -40.85** -9.48** -1.01** -17.89**<br />

RK9902 x PusaJaikisan 3.24** 0.34** -0.97** 3.86** -88.78** -1.50** -21.43** -6.98** -0.25** -10.70**<br />

RK 9902 x Pusa Basant 2.22** 1.20** 5.49** 1.19** 99.30** 0.01 -27.76** -4.07** -050** 1.82**<br />

RK 9902 x Vardan 1.24** -1.27** -4.15** -1.50** -229.40** 2.46** 2.27** -11.65** -0.56** -12.27**<br />

RK 9902 x Sanjokta 5.18** 0.22* 4,44** 3.57** -23.44** 0.29 2.12** 4.39** 0.66** 5.11**<br />

RK9901 xB85 0.15 20.5** 9.89** 2.58** 37.01** 0.80** 14.87** -0.59* -0.11** 2.13**<br />

RK 9901 x Urvashi 1.43** -2.53** -2.90** 0.98** -66.09** -0,45** -3.13** 1.61** 0.51** 0.61*<br />

RK 9901 x Krishna -2.19** -0.28* -0.64** -3.84** -87.56** 2.88** -4.57** -4.80** -1.33** -6.63**<br />

RK 9901 x Pusa Bahar 1.58** 0,33** -2.79** 0.71** 12.46** 0.64** -0.93* 2.36** -0.11** 3.66**<br />

RK9901 x Pusa Jaikisan 1.86** 0.84** -20.2** 0.74** -99.83** 1.49** 10.69** -4.31** 0.21** -0.88**<br />

RK9901 x Pusa Basant 0.83** 1.03** 1.64** -0.06 -43.48** 0.74** -6.58** 1.58** 0.26** -0.88**<br />

RK 9901 x Vardan 2.72** 0.30* 0.94** 2.51** 93.82** -4.28** -15.01** -3,26** -0.14** -8.12**<br />

RK 9901 x Sanjokta 1.06** -0.81** -4.54** 4.32** -231.16** 1.62** -6.22** -3.24** 0.76** -4.60**<br />

BS5 x Urvashi 2.63** 2.35** 6.38** -0.66** -54.71** -0.88 2.14** 2.44** 0.67** 2.10**<br />

B85 x Krishna 2.07** -1.00** 1.57** -0.67** 316.55** -3.75** -6.63** 1.99** -0.45** -3.87**<br />

B85 x Pusa Bahar 0.38* -1.19** -5.65** 0.08 -95.56** 2.15** -22.79** 4.88** 0.22** -1.91**<br />

B85 x Pusa Jaikisan 0.46* 0.12 0.32** -0.83** 209.35** -1.20** 24.30** 4.89** 0.16** 10.35**<br />

B85 x Pusa Basant -0.24 1.18 2.11** -2.44** 75.50** -1.09** 10.22** 0.56* 008** 1.00**<br />

B85 x Vardan 2.66** -0.96** -4.59** 1.74** 2.00 -0.24 2.60** -2.88** 0.05** -3.56**<br />

B85 x Sanjokta 0.93** 0.33** 0.93** 0.88** -54.71** 1.92** -6.75** -.14** -0.37** -3.57**<br />

Urvashi x Krishna -0.78** 0.56** -7.01** -1.21** -263.69** -2.20** -25.77** -4.63** 1.69** -11.39**<br />

Urvashi x Pusa Bahar -0.34 0.30* -1.36** -.39* -32.26** 2.90** -14.46** -2.56** -1.34** -6.30**<br />

Urvashi x Pusa Jaikisan -2.00** 0.74** 0.60** -0.56** -78.69** 0.15 0.09 -4.88** 0.42** -3.17**<br />

Urvashi x Pusa Basant 3.04** 1.00** -2.01** 1.23** 76.13** -1.67** 9.42** -2.82** -0.32** -2.25**<br />

Urvashi x Vardan 1.07** -1.67** -3.51** -2.06** -147.64** -0.89** -15.08** 3.05** 1.05** -1.88**<br />

Urvashi x Sanjokta 0.34 0.16 -1.52** 3.79** -129.21** 1.87** 16.98** -5.12** 0.14** -1.22**<br />

Krishna x Pusa Bahar 1.24** -0.98** 2.36** 2.79** 12.12** 1.56** 3.23** 8.39** 0.67** 12.93**<br />

Krishna x Pusa Jaikisan 238** 0.20 3.46** 0,82** -9,36** 0.21 19.65** -1.95** 0.37** 3.59**<br />

Krishna x Pusa Basant 0.42* 1.74** -7.08** -0.92** -202.61** -1,88** -24.69** -8,88** -0.01* -16.56**<br />

Krishna x Vardan 1.38** 0.58** -0.91** -2.67** -278.38** 2.10** -37.98** -2.53** -0.61** -14.25**<br />

Krishna x Sanjokta -0.48** 2.41** 6.61** -6,60** 458.84** -3.27** 36-34** 1.73** -0.17** 13,87**<br />

Pusa Bahar x Pusa Jaikisan -0.11 1.21** 2.44** 0.37* -79.07** 1.24** 3.36** -1.70** 0.49** 0.48<br />

Pusa Bahar x Pusa Basant -3.07** 1.27** 5.24** -0.50** 105.95** 2.29** -3.51** 19.34** 0.85** 21.86**<br />

Pusa Bahar x Vardan -0.44* 0.40** 2.07** -2.19** -75.29** 0.80** -22.14** 0.14 -0.56** -5.76**<br />

Pusa Bahar x Sanjokta 3,69** 2.42** 1.72** -1.25** -97.26** -0.97** -9.95** -1.15** 0.54** -2.57**<br />

Pusa Jaikisan x Pusa Basant 0,33 -1.16** -3.43** 1.19** 111.32** 1.94** 20.04** 12.60** 0.75** 18.46**<br />

Pusa Jaikisan x Vardan -1.97** -0.23 -4.63** -3.23** 66.09** -2.02** -2.92** -2.25** -0.67** -3.24**<br />

Pusa Jaikisan x Sanjokta 0.03 0.80** 12,15** -3.02** 219.84** -0.52** 19.07** -1.68** -1.13** 4.42**<br />

Pusa Basant x Vardan -0.07 2.76** 12,16** -1.50** 191.44** 2.03** 22.94** 11.03** 0.14** 20.88**<br />

Pusa Basant x Sanjokta -0.73** 0.06 2.18** -2.70** 78.59** 0.73** 28.06** -2.72** -053** 4.54**<br />

Vardan x Sanjokta 0.03 -1.95** -2.02** 1.68** 445.76** -2.49** 31.50** 8.31** 0.13** 13.84**<br />

SE (î?) 0.18 0.12 0.22 0.16 2.73 0.15 0.39 0.25 0.0043 0.27<br />

SE (Sî? -Sîk) 0.26 0.18 0.33 0.24 4.01 0.23 0.57 0.36 0.0063 0.39<br />

Source of<br />

variation<br />

d.f.<br />

Days of<br />

flower<br />

*Significant at 5% level of significance<br />

Number of<br />

primary<br />

branches<br />

Number of<br />

secondary<br />

branches<br />

Days to<br />

maturity<br />

Number of<br />

siliquae per plant<br />

**Significant at 1% level of significance<br />

Number of<br />

seeds per<br />

siliqua<br />

Biological yield<br />

per plant<br />

Harvest<br />

index<br />

1000 seed<br />

weight<br />

Seed yield per<br />

plant<br />

δ 2 g (Parents) 9 2.10 0.03 44.15 5.97 6950.30 0.45 165.57 2.19 0.28923 16.16<br />

δ 2 s(F 1s) 44 5.75 1.83 27.87 5.66 36237.52 3.85 589.53 45.25 0.51718 124.77<br />

δ 2 e 108 0.04 0.02 0.06 0.03 8.77 0.03 0.18 0.07 0.00002 0.08<br />

δ 2 g/δ 2 s 0.37 0.02 1.58 1.05 0.19 0.12 0.28 0.05 0.55924 0.13<br />

(δ 2 s/δ 2 g) 0.5 1.65 7.81 0.79 0.97 22.8 2.92 1.89 4.55 1.33721 772


228 Trends in Biosciences 5 (3), <strong>2012</strong><br />

Table 5a. Ranking of desirable parents based on per se performance and gca effects for 10 characters in Indian mustard<br />

[Brassica juncea (L.) Czern and Coss]<br />

Character<br />

Best parents on the basis of desirable<br />

gca effects<br />

Days to flower B85, Sanjokta Vardan, Pusa Jaikisan and<br />

Urvashi<br />

Number of primary Sanjokta, Vardan, Pusa Bahar, Krishna and<br />

branches<br />

Pusa Jaikisan<br />

Number of secondary Vardan, Sanjokta Pusa Bahar, Krishna RK<br />

branches<br />

9901<br />

Days to maturity B85, Vardan, Sanjokta, Pusa Bahar and<br />

Krishna<br />

Number of siliquae Vardan, Sanjokta, Pusa Bahar, Krishna and<br />

per plant<br />

RK 9901<br />

Number of seed per RK 9902, Urvashi, Sanjokla, Pusa Jaikisan<br />

siliqua<br />

and Vardan<br />

Biological yield per Pusa Bahar, Vardan, Krishna, Pusa Bashant<br />

plant<br />

and Urvashi.<br />

Harvest index Sanjokta, RK9901,<br />

Pusa Jaikisan, RK 9902 and Pusa Basant<br />

1000- seed weight Pusa Basant, Pusa Jaikisan, Pusa Bahar<br />

RK 9901and RK 9902<br />

Seed yield per plant Vardan, Pusa Bahar, Pusa Basant, Krishna<br />

and RK 9901<br />

Best parents on the basis of per se<br />

performance<br />

B85, Sanjokta, Vardan, Pusa Jaikisan, and RK<br />

9902<br />

Vardan, Krishna, Pusa Bahar and Pusa<br />

Jaikisan<br />

Vardan, Pusa Bahar, Krishna, Urvashi and<br />

RK9901<br />

B85, Sanjokta, Vardan Pusa Bahar and Pusa<br />

Jaikisan<br />

Pusa Bahar, Vardan, Krishna, RK 9901 and<br />

Urvashi<br />

Urvashi, RK 9902, Krishna, Vardan and<br />

Sanjokta<br />

Pusa Bahar, Vardan, Krishna, Uravashi and<br />

RK9901.<br />

Krishna, RK 9902, Sanjokta, Pusa Jaikisan<br />

and RK 9901<br />

Pusa Jaikisan, Pusa Basant Pusa Bahar, RK<br />

9901 and RK 9902<br />

Vardan, Krishana, Pusa Bahar, RK 9901 and<br />

Urvashi<br />

Best common parents both on the basis of per se<br />

performance and gca effects<br />

B85, Sanjokta, Vardan and Pusa Jaikisan<br />

Vardan, Sanjokta, Krishna, Push Bahar and Push Jaikisan<br />

Vardan, Pusa Bahar, Krishna and RK 9901<br />

B85, Sanjokta, Vardan and Pusa Bahar<br />

Vardan, Pusa Bahar, Krishna and RK 9901<br />

RK 9902, Uarvashi, Sanjokta and Vardan<br />

Pusa Bahar, Vardan, Krishna and Uravshi.<br />

Sanjokta, RK 9901, Pusa Jaikisan and RK9902<br />

Pusa Basant, Pusa Jaikisan, Pusa Bahar, RK 9901 and<br />

RK 9902<br />

Vardan, Pusa Bahar, Krishna and RK 9901<br />

Table 5b. Ranking of desirable crosses based on per se performacne and sca effects in F1 generation for 10 traits in Indian<br />

mustard [Brassica juncea (L.) Czern and Coss]<br />

Character<br />

Days to flower<br />

Number of primary branches<br />

Number of secondary<br />

branches<br />

Days to maturity<br />

Number of siliquae per plant<br />

Best cross combination on the basis<br />

of per se performance<br />

Vardan x Sanjokta<br />

Pusa Jaikisan x Vardan B85 x<br />

Sanjokta<br />

RK 9902 x Urvashi Pusa Bahar x<br />

Vardan B85 x Pusa Jaikisan<br />

RK 9902 x B 85<br />

Pusa Bahar x Sanjokta Krishna x<br />

Sanjokta<br />

Pusa Basant x Vardan Pusa Jaikisan<br />

x Sanjokta Pusa Bahar xPusaBasant<br />

Pusa Bahar PusaJaikisan B 85 x<br />

Urvashi<br />

Pusa Basant x Vardan Pusa Jaikisan<br />

x Sanjokta Krishna x Sanjokta<br />

RK 9901 x B 85<br />

Pusa Bahar x Vardan Pusa Bahar<br />

xPusaBasant<br />

PusaBaharxPusaJaikisan B 85 x<br />

Urvashi<br />

Pusa Jaikisan x Vardan Pusa Bahar<br />

x Vardan<br />

B 85 x Vardan<br />

B 85 x Sanjokta Krishna x Vardan<br />

Urvashi x Sanjokta<br />

Pusa Jaikisan x Sanjokta<br />

Vardan x Sanjokta Krishna x<br />

Sanjokta<br />

B 85 x Krishna<br />

Pusa Basant x Vardan RK 990 Ix<br />

Vardan<br />

Pusa Jaikisan x Sanjokta Pusa Bahar<br />

x Vardan<br />

Best cross combination on the basis of desirable<br />

sca effects<br />

RK 9902 x Urvashi<br />

Pusa Bahar x Pusha Basant RK9902 x Krishna<br />

Urvashi x Pusha Jaikisan<br />

Pusha Jaikisan x Vardan<br />

RK 9902 x Pusa Bahar<br />

Urvashi x Krishna<br />

Pusa Basant x Vardan Pusa Bahar x Sanjokta<br />

Krishna x Sanjokta<br />

B 85 x Urvashi<br />

RK 9901 x B 85<br />

Pusa Bahar x Pusa Basant<br />

Pusa Basant x Pusa Jaikisan<br />

Pusa Basant x Vardan<br />

Pusa Bahar x Sanjokta<br />

Krishna x Sanjokta<br />

B 85 x Urvashi<br />

RK 9901 x B 85<br />

Krishna x Sanjokta<br />

B 85 x Urvashi<br />

RK 9902 x Pusa Basant<br />

Pusa Bahar x Pusa Basant<br />

RK 9902 x Pusa Bahar<br />

RK9901 x Krishna<br />

Urvashi x Sanjokta<br />

Pusa Jaikisan x Vardan<br />

Pusa Jaikisan x Sanjokta<br />

Pusa Basant x Sanjokta<br />

Krishna x Vardan<br />

Krishna x Sanjokta<br />

Vardan x Sanjokta<br />

B85 x Krishna<br />

RK 9901 x Urvashi<br />

Pusa Jaikisan x Sanjokta<br />

B 85 x Pusa Jaikisan<br />

Pusa Basant x Vardan<br />

Best common crosses both on the basis of per se<br />

performance and sea effects<br />

RK 9902 x Urvashi Pusa Jaikisan x Vardan<br />

Pusa Bahar x Sanjokta<br />

Pusa Basant x Vardan<br />

Krishna x Sanjokta<br />

B 85 x Urvashi<br />

Pusa Bahar x Pusa Basant<br />

Pusa Bahar x Pusa Jaikisan<br />

Pusa Basant x Vardan Pusa Jaikisan x Sanjokta<br />

RK 9901 x B 85<br />

Krishna x Sanjokta<br />

Pusa Bahar x Pusa Basant<br />

Urvashi x Sanjokta<br />

Pusa Jaikisan x Vardan<br />

Pusa Jaikisan x Sanjokta<br />

Krishna x Vardan<br />

Krishna x Sanjokta<br />

Vardan x Sanjokta<br />

B 85 x Krishna<br />

Pusa Jaikisan x Sanjokta<br />

Pusa Basant x Vardan<br />

effects and hence they can be utilized in the breeding<br />

programmes. For effective utilization of additive genetic<br />

variance, population breeding techniques with some<br />

modifications could be effective in improving self pollinated<br />

species. Under such situation careful selection could be of<br />

weighted importance.


LAL et al., Combining ability analysis for yield and its components in Indian Mustard 229<br />

Table 5b. Contd....<br />

Character<br />

Number of seeds per<br />

siliqua<br />

Biological yield per<br />

plant<br />

Harvest index<br />

1000-seed weight<br />

Seed yield per plant<br />

Best cross combination on the<br />

basis of per se performance<br />

RK9901xVardan<br />

Urvashi x Pusa Bahar Urvashi x<br />

Sanjokta<br />

RK 9902 x B 85<br />

RK 9902 x Urvashi<br />

Pusa Bahar xPusaBasant<br />

RK9901xKrishna<br />

Pusa Basant x Vardan Krishna x<br />

Sanjokta<br />

RK 9902 x Urvashi<br />

Pusa Basant x Sanjokta Krishna x<br />

Pusa Bahar RK 9902 x Pusa<br />

Basant RK 9901 x Pusa Bahar<br />

Pusa Bahar x PusaBasant<br />

PusaJaikisanxPusaBasant Pusa<br />

Basant x Vardan Vardan x<br />

Sanjokta<br />

RK 9902 x Urvashi RK9902<br />

xRK9901 Krishan x Pusa Bahar<br />

PusaJaikisanxPusaBasant<br />

Pusa Basant x PusaBahar<br />

Urvashi x Krishan<br />

Pusa BaharxPusaJaikisan<br />

RK9902 xRK9901<br />

RK9901xPusaBasant<br />

Krishna x Pusa Jaikisan<br />

Pusa Bahar x PusaBasant<br />

Pusa Basant x Vardan RK 9902 x<br />

Urvashi Krishna x Pusa Bahar<br />

Vardan x Sanjokta Pusa Jaikisan x<br />

Pusa Basant Krishna x Sanjokta<br />

Best cross combination on the basis of<br />

desirable sea effects<br />

Urvashi x Pusa Bahar<br />

RK 9901 x Krishna<br />

RK 9902 x Vardan<br />

Pusa Bahar x Pusa Basant<br />

B 85 x Pusa Bahar<br />

Krishna x Vardan<br />

Pusa Basant x Vardan<br />

Krishna x Sanjokta<br />

RK 9902 x B 85<br />

RK 9902 x Urvashi<br />

Pusa Basant x Sanjokta<br />

B 85 x Pusa Jaikisan<br />

Pusa Basant x Vardan<br />

RK 9902 xRK 9901<br />

Pusa Bahar x Pusa Basant<br />

Pusa Jaikisan x Pusa Basant RK 9902 x<br />

Urvashi<br />

Pusa Basant x Vardan<br />

Krishna x Pusa Bahar<br />

Vardan x Sanjokta<br />

RK9902 xRK 9901<br />

Urvashi x Krishna<br />

Urvashi x Vardan<br />

RK9902 xRK9901<br />

Pusa Basant x Pusa Bahar<br />

RK 9902 x Krishna<br />

RK9901 x Sanjokta<br />

Pusa Jaikisan x Pusa Basant<br />

RK 9902 x Urvashi<br />

Pusa Bahar x Pusa Basant<br />

Pusa Basant x Vardan Pusa Jaikisan x Pusa<br />

Basant<br />

RK9902 xRK9901<br />

Krishna x Sanjokta<br />

Vardan x Sanokta<br />

Best common crosses both on the basis of<br />

per se performance and sea effects<br />

Urvashi x Pusa Bahar<br />

RK 9901 x Krishna<br />

RK 9902 x Vardan<br />

Pusa Bahar x Pusa Basant<br />

Krishna x Sanjokta<br />

RK 9902 x Urvashi<br />

Pusa Basant x Vardan<br />

Pusa Bahar x Pusa Basant<br />

Pusa Jaikisan x Pusa Basant RK 9902 x<br />

Urvashi<br />

Pusa Basant x Vardan<br />

Krishna x Pusa Bahar<br />

Vardan x Sanjokta<br />

RK9902 xRK9901<br />

Urvashi x Krishna<br />

RK9902 xRK9901<br />

Pusa Bahar x Pusa Basant<br />

Pusa Jaikisan x PusaBasant<br />

Pusa Jaikisan x PusaBasant<br />

RK 9902 x Urvashi<br />

Pusa Bahar x Pusa Basant<br />

Pusa Basant x Vardan<br />

Pusa Jaikisan x PusaBasant<br />

Krishna x Sanjokta<br />

Vardan x Sanjokta<br />

Table 5c. Promising specific combiners for yield per plant in F1 generation and their per se performance gca effects of the<br />

parents involved and desirable sca effects for other characters in Indian mustard [Brassica juncea (L.) Czern and<br />

Coss.]<br />

Cross<br />

Per se<br />

performance<br />

sca<br />

effects<br />

gca effects<br />

Desirable sca effects in other characters<br />

RK9902 xUrvashi 49.33 231.13** -146** -153** Xi (-3.85**), X 2 (0.52**), X 3 (3.49**), X 5 (244.83**) X 7(32.75**), X g (1 1.12**) and X 9<br />

(0.62**)<br />

Pusa Bahar x Pusa Basant 58.73 21.86** 4.36** 2.91** Xi (-3.07**), X 2 (1.27**), X 3 (5.24**), X* (-0.50**) X 5(105.95**), Xe (2.29**), X 8<br />

(0.62**) and X 9 (0.85**)<br />

Pusa Bahar x Pusa Vardan 57.93 20.88** 2.91** 4.54** X] (-0.07), X 2 (2.76**), X 3 (12.16**), X 4 (-1.50**) X 5(191.44**),X 6 (2.03**)<br />

X 7(22.94**) ?X g(l 1.83**) and X 9 (0.14**)<br />

Pusa Jaikisan x Pusa Basant 47.60 18.46** -3.37** 2.91** X 5 (1 11.32**), X 6 (1.94**), X 7 (20.04**), Xg (12.60**) and X 9 (0.75**)<br />

RK 9902 xRK 9901 45.07 15.75** -1.46** 1.19** X 2 (0.67**), X 3 (2.06**), X, (-0.53**), X 5 (148.42**) X 7(22.81**), X 8 (7.40**) and X 9<br />

(0.89**)<br />

Krishna x Sanjokta 45.87 13.87** 1.98** 0.42** Xj (0.48**), X 2 (2.41**), X 3 (6.61**), X4 (-1.60**) X 5(458.84**),X 7 (36.34**) andXg<br />

(1.73**)<br />

Vardan x Sanjokta 48.40 13.84** 4.54** 0.42** X 5 (445.7^X7(1 1.50**), X» (8.31**) and X 9 (0.13**)<br />

Krishna x Pusa Bahari 48.87 12.93** 1.98** 4.36** X 3 (2.36**), X 5 (12.13**), X 6 (1.56**) and X 7 (19.65**)<br />

RK 9902xB85 31.47 12.93** -1.46** -8.64** X! (0.53**), X 2 (0.95**), X 3 (2.27**), X4 (2.30**) X 5(128.20**), Xe (1.81**) X 7<br />

(33.8**), X 8 (3.55**) and X 9 (0.38**)<br />

B85 x Pusa Jaikisan 27.93 11.98 -8.64** .337** X 2 (0.12), X 3 (3.32**), X A (-0.83**), X 5 (209.35**) X 7(24.20**), Xg (4.89**) and X 9<br />

(0.16**)<br />

*Significant at 5% level of significance **Significant at 1% level of significance


230 Trends in Biosciences 5 (3), <strong>2012</strong><br />

The crosses showing positive sca effects for seed yield<br />

were also having positive sca effects for almost all the yield<br />

components and developmental traits studied. The parents<br />

identified as good or poor general combiners for seed yield<br />

were also same for some of the component characters. This<br />

suggested that combining ability for seed yield to some extent<br />

was related to combining ability of yield contributing<br />

characters. The traits influencing combining ability effects<br />

for seed yield may be given due consideration in selection of<br />

parents for hybridization programme.<br />

ACKNOWLDGEMENT<br />

The first author gratefully acknowledges Uttar Pradesh<br />

Krishi Utpadan Mandi Parisad, Lucknow for providing<br />

financial assistance in the form of scholarship during the<br />

period of study.<br />

LITERATURE CITED<br />

Asthana, A.N. and Pandey, V.K. 1977. Combining ability and correlation<br />

in a diallel cross of Indian mustard. Experimental Agriculture, 18:71-<br />

79.<br />

Griffing, B. 1956 a. Concept of general and specific combining ability<br />

in relation to diallel crossing system. Australian Journal of Biological<br />

Sciences, 9: 463-493.<br />

Kempthorne, O. and Curnow, R.N. 1961. The partial diallel corss.<br />

Biometrics, 17: 229-250.<br />

Recieved on 11-07-<strong>2012</strong> Accepted on 10-09-<strong>2012</strong>


Trends in Biosciences 5 (3): 231-233, <strong>2012</strong><br />

A Key to the Indian Species of Schizoprymnus Foerster (Hymenoptera: Braconidae:<br />

Brachistinae) with Description of A New Species<br />

MOHAMMAD SHAMIM<br />

Section of Entomology, Department of Zoology, Aligarh Muslim University, Aligarh 202 002<br />

e-mail: shamimento@gmail.com<br />

ABSTRACT<br />

A new species of braconid genus Schizoprymnus Foerster viz.,<br />

Schizoprymnus sharifi Shamim sp. nov. is described and<br />

illustrated from India. The new species unambiguously similar<br />

with Schizoprymnus tortilis Papp in having antennal segments<br />

20, head in dorsal view 2× as wide as long, face 2.2× as wide as<br />

long, apical rim of carapace semi circularly excised with a pair<br />

of denticles, length of hind femur 3.7× its width and length of<br />

pterostigma 2.7 × its width. However, it differs in having: length<br />

of eye in dorsal view 1.87 × temples; length of malar space 2×<br />

basal width of mandible; hind tibia one third longer than hind<br />

tarsus.<br />

Key words Hymenop tera , Bracon idae, Brachistin ae,<br />

Schizoprymnus, new species, India.<br />

Brachistinae is a large subfamily of moderately small to<br />

large parasitoid wasps with 413 species in eleven genera<br />

worldwide (Yu, et al., 2009). It includes the genera Calyptites<br />

Scudder 1878; Calyptoides Cockerell, 1921; Chelostes van<br />

Achterberg, 1990; Cuniculobracon van Achterberg and Falco,<br />

2001; Dicyrtaspis van Achterberg, 1980; Eubazus Nees, 1812;<br />

Foersteria Szepligeti, 1896; Nealiolus Mason, 1974;<br />

Polydegmon Foerster, 1862; Schizoprymnus Foerster, 1862 and<br />

Triaspis Haliday, 1835. Members of the subfamily live as<br />

parasitoids on the families Curculionidae and Apionidae<br />

(Coleoptera), which also include very important agricultural<br />

pests (Belokobylskij, et al., 2004).<br />

The genus Schizoprymnus Foerster recognized by the<br />

presence of anterior three metasomal tergites immovably fused<br />

to form a metasomal carapace and absence of two transeverse<br />

sutures on the carapace. However, some species of<br />

Schizoprymnus have the carapace with first suture almost<br />

entirely and the second one at least laterally developed (Papp,<br />

1984, 1991, 1993; Belokobylskij, 1994, 1998). The members of<br />

this genus are endoparasitoids of larval Coleoptera (Shaw<br />

and Huddleston, 1991).<br />

The genus is cosmopolitan in distribution containing<br />

122 species worldwide (Yu, et al., 2009) and 35 species from<br />

Indo-Australian region, of which only two species i.e.<br />

Schizoprymnus indicus Ahmad and Schizoprymnus transiens<br />

Ahmad are reported from India. In the present work, a new<br />

species i.e. Schizoprymnus sharifi Shamim sp. nov. is<br />

described and illustrated with 10 photographs. A key to the<br />

Indian species also proposed.<br />

MATERIALS AND METHODS<br />

The specimens were collected by using a sweeping net.<br />

Photographs were taken with the help of a digital camera<br />

attached to a Stereozoom binocular (Nikon-SMZ1500).<br />

Measurements of slide-mounted parts (antenna, hind leg,<br />

forewing and hind wing) and card mounted specimens were<br />

taken with the help of an ocular micrometer (linear side of 100<br />

divisions) placed in the eye piece of the Stereozoom<br />

microscope. The divisions of the ocular micrometer were<br />

converted to millimeters.<br />

The terminology and venation follows van Achterberg,<br />

1993 and surface sculpture follows Eady, 1968. Abbreviations<br />

used in the text are: POL: Posterior ocellar line (distance<br />

between the posterior ocelli); OOL: Ocello-ocular line (distance<br />

between posterior ocellus and eye); OD: Ocellar diameter; F:<br />

Flagellomere.<br />

RESULTS AND DISCUSSION<br />

Body length: 5.2mm, Forewing, 4.7mm, Antenna: 3.6mm<br />

Head: Width of head in dorsal view 2.48× its length, 1.37× its<br />

height; antennal segments 20; F 1<br />

shorter than F 2<br />

(11:14);<br />

lengths of F 1<br />

, F 2<br />

, F 3<br />

, F 4<br />

__<br />

F 5<br />

, F 6<br />

, F 7<br />

__<br />

F 10<br />

, F 11<br />

__<br />

F 17<br />

and F 18<br />

2.2×,<br />

2.8×, 2.4×, 2×, 1.33×, 1.2×, 1× and 2× their widths respectively;<br />

F 1<br />

without sensillum, F 2<br />

__<br />

F 4<br />

with two sensillae; F 5<br />

__<br />

F 7<br />

with<br />

three sensillae; length of posterior side of stemmaticum 1.8×<br />

its lateral side; occipital carina complete; OOL: POL: OD= 16:<br />

11: 4; length of eye in dorsal view 1.66× its width and 1.87×<br />

temple; temple smooth, sparsely setose, temple rounded<br />

behind eyes; vertex 2.75× its width, smooth, sparsely setose;<br />

frons 1.6× as wide as long, punctate, sparsely setose; antennal<br />

sockets depressed, mid longitudinal carina between antennal<br />

sockets, near antennal sockets densely punctate, setose; face<br />

2.2× as wide as long, impressed medially, densely punctate,<br />

setose; intertentorial line 1.66× tentorio-ocular line, tentorial<br />

pit deep and its area depressed; clypeus 2.2× its width, slightly<br />

convex, punctate; length of malar space 2× basal width of<br />

mandible.<br />

Mesosoma: Length of mesosoma 1.7× its width and its height;<br />

pronotal side dorsally smooth, anteriorly, remaining reticulate,<br />

sparsely setose; mesopleuron medially smooth, dorsally<br />

reticulate, setose; precoxal sulcus wide, large, reticulate,<br />

setose; notauli anteriorly narrow, crenulate, posteriorly broad,<br />

reticulate with small indistinctly mid longitudinal carina; middle


232 Trends in Biosciences 5 (3), <strong>2012</strong><br />

lobe of mesoscutum punctate, sparsely setose, lateral lobes<br />

smooth, sparsely setose; scutellar sulcus, deep, smooth with<br />

one longitudinal strong carina and four weak lateral carinae;<br />

scutellum smooth, sparsely setose, strongly convex; side of<br />

scutellum reticulate; medio-posterior depression deep with<br />

one longitudinal carina and two weak lateral carinae;<br />

metanotun crenulate; propodeum basally reticulate rugose,<br />

apically rugose, setose.<br />

Wings: Forewing 2.5× as long as wide, 0.9× as long as body<br />

length, shorter than body; marginal cell large; pterostigma<br />

2.8× its width; length of vein 1 __ R1 0.77× length of pterostigma;<br />

r issuing proximally from its middle of pterostigma, its length<br />

0.42× width of pterostigma; vein SR1+3 __ SR curved; m __ cu<br />

antefurcal; cu __ a postfurcal; r: 2 __ SR: SR1+3 __ SR= 6: 15: 42;<br />

1 __ CU1: 2 __ CU1: 3 __ CU1= 6: 30: 10; hindwing 4× as long as<br />

wide; 1 __ M: 1 __ r-m: 2 __ SC+R = 9: 10: 10.<br />

Legs: Hind coxa sparsely punctate, setose; lengths of hind<br />

femur, tibia and basitarsus 3.75×, 11.33× and 7.33× their widths<br />

respectively; hind tibia one third longer than hind tarsus;<br />

hind tibial spurs 0.36× and 0.27× as long as hind basitarsus.<br />

Metasoma: Length of metasoma 1.42× its width and 2.5× its<br />

height; reticulate, densely setose; suture between first and<br />

second tergites distinct only laterally; apical rim of carapace<br />

semi circularly excised with a pair of denticles; carapace longer<br />

than mesosoma; ovipositor sheaths slender, setose, shorter<br />

than carapace, its length 0.42× forewing, 0.87× hind basitarsus;<br />

hypopygium setose; ovipositor depressed apically, pointed.<br />

Colour: Black except mandibles basally, maxillary palp, labial<br />

palp yellowish brown; mandibles apically, antenna, ovipositor<br />

sheaths brown; pterostigma, wing veins, femur, tibia and<br />

tarsus brownish yellow; forewing veins 1 __ M and M+CU1<br />

pale yellow; ovipositor yellow; ocelli transparent yellow; eyes<br />

grayish.<br />

Variation: Antennal segments 21; face strongly convex, 2.2×<br />

as wide as long, mesopleuron entirely reticulate; forewing<br />

vein SR __ 1+ 3 __ SR strongly curved; length of body: 5.5mm,<br />

forewing, 5mm, antenna: 4mm; ocelli transparent; ovipositor<br />

sheaths 0.46× forewing, 0.9× hind basitarsus and lengths of<br />

hind femur, tibia and basitarsus 3.8×, 11.5× and 8× their widths<br />

respectively.<br />

Host: Unknown<br />

Type material: Holotype, female, <strong>IN</strong>DIA: Uttar Pradesh,<br />

Etawah, 26° 47' N 79° 02' E, 14 15. vii. 2008, Coll. M. Sharif.<br />

(ZDAMU). Deposited in Insect collection, Department of<br />

Zoology, A.M.U. Aligarh (ZDAMU).<br />

Paratypes, 2 females, same as holotypes. <strong>IN</strong>DIA: Uttar<br />

Pradesh, Aligarh, 20. i. <strong>2012</strong>, 27° 30' N 79° 40' E Coll. Mohammad<br />

Shamim. (ZDAMU). 2 females, same as holotypes. <strong>IN</strong>DIA:<br />

Uttar Pradesh, Aligarh, 08. iv. <strong>2012</strong>, 27° 30' N 79° 40' E Coll.<br />

Mohammad Azam. (ZDAMU). Deposited in Insect collection,<br />

Department of Zoology, A.M.U. Aligarh (ZDAMU).<br />

Etymology: The species is named in memory of my late father,<br />

Mohammad Sharif, who collected these braconid parasitoids.<br />

Remarks: The new species Schizoprymnus sharifi Shamim<br />

sp. nov. closely resembles with Schizoprymnus indicus<br />

Ahmad 2010. However, it differs in having (1) Antennal<br />

segments 20 (antennal segments 23 in indicus) (2) vein r of<br />

forewing issuing proximally from its middle; (vein r of forewing<br />

issuing slightly distally from its middle in indicus) (3) hind<br />

tibial spurs 0.36 and 0.27× as long as hind basitarsus (hind<br />

tibial spurs about 0.3× as long as basitarsus in indicus) (4)<br />

carapace 1.4× as long as wide, reticulate, densely setose<br />

(carapace 1.8× as long as wide, reticulate rugose in indicus)<br />

(5) middle lobe of mesoscutum punctate, sparsely setose<br />

(mesoscutum smooth in indicus) (6) propodeum basally<br />

reticulate rugose, apically rugose (propodeum reticulaterugose<br />

in indicus).<br />

The new species Schizoprymnus sharifi Shamim sp. nov.<br />

also closely resembles with Schizoprymnus tortilis Papp, 1984.<br />

However, it differs in having (1) length of malar space 2× basal<br />

width of mandible, length of malar space either as long as or<br />

somewhat longer than basal width of mandible in S. tortilis<br />

(2) length of eye in dorsal view 1.87× temple (eyes longer than<br />

temple in S. tortilis (3) hind tibia one third longer than hind<br />

tarsus (hind tibia one sixth longer than hind tarsus in S. tortilis<br />

(4) ovipositor sheaths shorter than carapace (ovipositor<br />

sheath either as long as or somewhat longer than carapace in<br />

S. tortilis.<br />

Key to Indian species of Schizoprymnus Foerster based<br />

on Females<br />

1. Face finely punctuate; eye in dorsal view about as long<br />

as temple; malar space 1.2× basal width of mandible;<br />

forewing 0.8× as long as body length; pterostigma 2.3×<br />

as long as wide; length of vein 1 __ R1 as long as<br />

pterostigma—————————————————<br />

——————————————————————<br />

— —— —— —- — —— —— — —— —— —— S .<br />

transiens Ahmad<br />

— Face punctate; eye in dorsal view 1.87 __ 2× as long as<br />

temple; malar space 2 __ 2.5× basal width of mandible;<br />

forewing 0.9 __ 1.15× as long as body length; pterostigma<br />

2.6 __ 2.8× as long as wide; length of vein 1-R1 0.3 __ 0.77×<br />

as long as pterostigma—————————————<br />

——————————————————————<br />

————————————————————-2<br />

2. Antennal segments 23; vein r of forewing issuing slightly<br />

distally from its middle; hind tibial spurs about 0.3× as<br />

long as basitarsus; carapace 1.8× as long as wide,<br />

reticulate rugose; mesoscutum smooth; propodeum<br />

reticulate rugose———————————————<br />

——————————————————————<br />

———————————————-S. indicus Ahmad


MOHAMMAD SHAMIM, A Key to the Indian Species of Schizoprymnus Foerster 233<br />

Figs. 1-7.S. sharifi Shamim sp. nov. Head in dorsal view 2. Head in ventral view 3. Carapace 4. Ovipositor and sheaths 5. Hind leg 6.<br />

Fore wing 7. Antenna<br />

— Antennal segments 20; vein r of forewing issuing<br />

proximally from its middle; hind tibial spurs about 0.36×<br />

and 0.27× as long as basitarsus; carapace 1.4× as long<br />

as wide, reticulate, densely setose; middle lobe of<br />

mesoscutum punctate; sparsely setose; propodeum<br />

basally reticulate rugose, apically rugose—————<br />

————-S. sharifi sp. nov.<br />

Schizoprymnus sharifi sp. nov. (Figures 1 __ 7)<br />

ACKNOWLEDGEMENT<br />

I thank Dr. M. Hayat for his review and suggestions on<br />

this manuscript. I also thank the Chairman, Department of<br />

Zoology, for the laboratory facilities. This research was<br />

supported by the Department of Science & Technology, New<br />

Delhi (Grant no. SR/FT/LS-065/2008).<br />

LITERATURE CITED<br />

Ahmad, Z. and Ahmed, Z. 2010. Record of the genus Schizoprymnus<br />

Foerster (Hymenoptera: Braconidae) from India, with descriptions<br />

of two new species. J. Bombay Nat. Hist. Soc.107 (1): 45 __ 47.<br />

Belokobylskij, S. A., 1994. To the knowledge of the braconid fauna of<br />

the Russian Far East (Hymenoptera, Braconidae): new species of<br />

the subfamily Brachistinae. Russ. Entomol. Journal. 3: 81–108.<br />

Belokobylskij, S. A. 1998. Subfam. Brachistinae (Calyptinae). In: Lehr<br />

PA (ed.) Opredelitel’ nasekomykh Dal’nego Vostoka Rossii.<br />

Setchatokryloobraznye, skorpionnitzy, ereponchatokrylye [Keys to<br />

Insects of the Russian Far East. Neuropteroidea, Mecoptera,<br />

Hymenoptera], Vol. 4, pp. 440-489.<br />

Belokobylskij, S. A., Güçlü, C. and Özbek H., 2004, A new species of<br />

the genus Schizoprymnus Foerster (Hymenoptera, Braconidae,<br />

Brachistinae) from Turkey. Zoosyst. Rossica, 12: 245-248.<br />

Papp, J. 1984. First survey of the Triaspidini species of the Indo-<br />

Australian Region (Hymenoptera: Braconidae, Calyptinae). I. The<br />

genus Triaspis Haliday. Acta Zool. Hung. 30: 137–158.<br />

Papp, J. 1991. First survey of the Triaspidini species ofthe Indo-<br />

Australian Region (Hymenoptera, Braconidae, Calyptinae). II. The<br />

genus Schizoprymnus Foerster, 1. Acta Zool. Hung. 37: 75–99.<br />

Papp J. 1993 First survey of the Triaspidini species of the Indo-Australian<br />

Region (Hymenoptera, Braconidae, Calyptinae). III. The genus<br />

Schizoprymnus Foerster, 2. Acta Zool. Hung., 39: 129–173.<br />

Van Achterberg, C 1980. Three new Palearctic genera of Braconidae<br />

(Hymenoptera). Entomol. Berichte. Amsterdam. 40: 72–80.<br />

Yu, D. S., van Achterberg, C., Horstmann, K. 2009. Biological and<br />

taxonomic information of world Ichneumonoidea, 2004. Electronic<br />

compact disk. Taxapad, Vanouver, Canada. http:www.taxapad.com.<br />

Recieved on 08-08-<strong>2012</strong> Accepted on 09-09-<strong>2012</strong>


Trends in Biosciences 5 (3): 234-239, <strong>2012</strong><br />

Effect of Organic and Inorganic Sources of Nitrogen on N, P, K and S Content of<br />

Rice Grain at Harvest and Straw at Different Stages of Rice (Oryza sativa) Crop<br />

Growth<br />

DEBIPRASAD DASH 1 AND HRUSIKESH PATRO 2<br />

1<br />

Krishi Vigyan Kendra(OUAT), Balasore, Orissa; 2 AICRP on Groundnut, OUAT, Bhubaneswar 751 003<br />

3<br />

email: pranati_hkp@hotmail.com<br />

ABSTRACT<br />

The soil of experimental site was sandy clay loam in texture<br />

with normal pH, low in nitrogen and phosphorus and medium<br />

in organic carbon and potassium contents. The experiment<br />

was laid out in Randomised Block Design with nine treatments<br />

replicated thrice. The treatments were applied to rice crop<br />

during kharif season. Application of N through chemical<br />

fertilizer (T 9<br />

) increased the N, P, K and S contents significantly<br />

at different stages including grain and straw at harvest by the<br />

crop over no fertilizer/manure (T 1<br />

). Among various organic N<br />

sources, N application through combination of D.S, P.M and<br />

C.W @ 40 kg N ha -1 each (T 8<br />

) resulted in higher N, P, K and S<br />

contents in plants over all other organic N sources at all the<br />

stages of straw and grain. Application of N through chemical<br />

fertilizer (T 9<br />

) brought about significant improvement in grain<br />

and straw yields of rice crop and established superiority over<br />

rest of the treatments. Among organic N sources, supplication<br />

of N through combination of D.S + P.M + C.W @ 40 kg N ha -<br />

1<br />

each (T 8<br />

) increased the grain and straw yield significantly as<br />

against the application of rest of the organic N sources and the<br />

control (T 1<br />

) except the straw yield due to incorporation of P.M<br />

alone (T 3<br />

) which remained at par.<br />

Key words<br />

Organic sources, N, P, K, S content, grain yield, rice.<br />

Rice is a heavy nitrogen feeder, however, fertilizer N<br />

efficiency in rice is very low under tropical conditions where<br />

it rarely exceeds 50% and usually ranges between 15 to 35 per<br />

cent (De Dutta, 1984). Most of the N taken up by rice plant is<br />

supplied through soils own natural resources. In wetland rice<br />

cultivation, the significance of native soil N is apparent from<br />

the fact that 60-80% of N absorbed by the crop is derived from<br />

native pool (Broadbent, 1979). A major portion of N in wetland<br />

soils occur in organic pool, though this is usually very low.<br />

Conclusive evidences indicate that in production of irrigated<br />

rice, improvement in organic carbon content of soil and initial<br />

soil nitrogen content and efficiency of applied nutrient are<br />

more important. Several hypotheses were proposed: (i) high<br />

N uptake crops take up ammonium, amino acids or relatively<br />

high molecules of organic N preferentially; (ii) rice has stronger<br />

activity in competing with soil microorganisms than the other<br />

crops; (iii) rice secretes organic substances that support<br />

multiplication of microfauna, resulting in rapid decomposition<br />

of organic matter; and (iv) rice has superior Km (Michaelis<br />

constant), Vmax (maximum uptake velocity) and Cmin (minimum<br />

concentration of nutrient) for N uptake (Yamagata, et al., 1996).<br />

Keeping these facts in consideration, the present<br />

investigation entitled, “Effect of organic and inorganic sources<br />

of nitrogen on N, P, K and S content of rice grain at harvest<br />

and straw at different stages of rice (Oryza sativa) crop<br />

growth” was undertaken at the Agricultural Research Farm,<br />

Department of Soil Science and Agricultural Chemistry,<br />

Institute of Agricultural Sciences, Banaras Hindu University,<br />

Varanasi, with an objective to study the nutrient acquisition<br />

efficiency of rice under organics in comparison to synthetic N<br />

source.<br />

MATERIALS AND METHODS<br />

The present investigation was at the Agricultural<br />

Research Farm, Department of Soil Science and Agricultural<br />

Chemistry, Institute of Agricultural Sciences, Banaras Hindu<br />

University, Varanasi.<br />

The soil of experimental site was sandy clay loam in<br />

texture with normal pH, low in nitrogen and phosphorus and<br />

medium in organic carbon and potassium contents. The<br />

experiment was laid out in Randomised Block Design with<br />

nine treatments replicated thrice. The treatments were applied<br />

to rice crop during kharif season.<br />

The treatments are T 1<br />

- Control (without chemical<br />

fertilizers and organics), T 2<br />

-120 kg N through digested sludge<br />

(D.S, 6936.4 kg), T 3<br />

-120 kg N through press mud (P.M, 11428.6<br />

kg), T 4<br />

-120 kg N through woolen carpet wastes (C.W, 960 kg),<br />

T 5<br />

-60 kg N through D.S (3468.2 kg) + 60 kg N through P.M<br />

(5714.29 kg), T 6<br />

-60 kg N through D.S (3468.2 kg) + 60 kg N<br />

through C.W (480 kg), T 7<br />

-60 kg N through P.M (5714.29 kg) +<br />

60 kg N through C.W (480 kg), T 8<br />

-40 kg N through D.S (2312.1<br />

kg) + 40 kg N through P.M (3809.5 kg) + 40 kg N through C.W<br />

(320 kg), T 9<br />

- Recommended doses of fertilizers [120 : 60 : 60 ::<br />

N (209.8 kg Urea) : P (130.4 kg D.A.P) : K (100 kg M.O.P)].<br />

Nitrogen was applied at the rate of 120 kg ha -1 through<br />

different organic sources along with two additional treatments<br />

which were recommended doses of NPK through chemical<br />

fertilizer (120 kg N : 60 kg P 2<br />

O 5<br />

: 60 kg K 2<br />

O) and without N<br />

(control). The organic sources of N were digested sludge,<br />

press mud and carpet wastes and inorganic N source was<br />

urea. Phosphorus and potassium were applied through<br />

diammonium phosphate and muriate of potash, respectively.


DASH, et al., Effect of Organic and Inorganic Sources of Nitrogen on N, P, K and S Content of Rice Grain at Harvest 235<br />

The half of recommended dose of nitrogen with full doses of<br />

phosphorus and potassium were applied as basal at the time<br />

of transplanting and rest 50 % N was top dressed in two equal<br />

splits (coinciding maximum tillering and panicle initiation<br />

stage) at the interval of one month after transplanting of rice<br />

seedlings. The total amount of organic manures/wastes viz.<br />

digested sludge, press mud and woolen carpet wastes were<br />

applied 14 days before transplanting of the rice var. Sarju-52<br />

at a spacing of 20 cm x 10 cm.<br />

Composite plant samples of rice were collected randomly<br />

at 40 and 65 days after transplanting (DAT) and at the time of<br />

harvesting. The plant samples (straw and grain) were , then,<br />

dried in oven at 65 0 C for 48 hours, powdered with the help of<br />

willey mill and were digested and analyzed for N, P, K, S as per<br />

procedure described in the following paragraphs and in Table<br />

1.<br />

The digestion of dried plant samples (straw and grain)<br />

for total N estimation were done using conc. H 2<br />

SO 4<br />

and<br />

digestion mixture (K 2<br />

SO 4<br />

: CuSO 4<br />

. 5 H 2<br />

O : metallic Selenium<br />

powder :: 50 : 10 : 1) as described by Yoshida, et al., 1976. The<br />

digested samples were then steam distilled with 40 % NaOH<br />

in KEL PLUS distillation apparatus.<br />

For the estimation of P, K, S the straw and grain samples<br />

were digested in diacid mixture of conc. HNO 3<br />

and HClO 4<br />

in<br />

the ratio of 10 : 4 as described by Jackson, 1967.<br />

RESULTS AND DICUSSION<br />

N content in plant at different stages of growth and grain<br />

at harvest:<br />

Data recorded on N content in rice plant at successive<br />

growth stages (40 DAT, 60 DAT and straw at harvest)<br />

pertaining to different treatments are presented in Table 1.<br />

Perusal of data revealed significant variations due to different<br />

treatments during both the years of experimentations. Initially<br />

higher N contents in plant were observed but thereafter it<br />

decreased with the advancement in age. It might be due to<br />

dilution effect (Josheph and Prasad, 1992) i.e. higher rate of<br />

dry matter production than rate of nutrient uptake. It is<br />

perceptible from the data that various treatments induced<br />

significant variations in the N content of plants at different<br />

growth stages. The various N sources brought about<br />

significant improvement in the N content of the plant over<br />

control (T 1<br />

) and application of N through chemical fertilizer<br />

(T 9<br />

) increased the N content at different stages significantly<br />

including in grain at harvest except straw at harvest where the<br />

treatment T 9<br />

remained at par with the application of three<br />

organics @ 40 kg N ha -1 (T 8<br />

), over rest of the treatments. The<br />

amount of mobilizable N or soil solution concentration usually<br />

decides the absorption of N from soil and the plant N content<br />

is directly related to the level of N supplied at each stage. The<br />

absorption of N was high at active tillering and panicle initiation<br />

stages. Thus, split application of inorganic sources<br />

compensated the N requirement, thereby, N concentration in<br />

the plant increased at these stages.<br />

Among various organic N sources, N application<br />

through combination of D.S, P.M and C.W @ 40 kg N ha -1<br />

each (T 8<br />

) resulted in significantly higher N content over all<br />

other organic N sources along with control (T 1<br />

) at all the stages<br />

of straw and in grain. This might be attributed to fast<br />

mineralization rate of all the three organics in combination in<br />

soil because of their narrow C:N ratio and also due to the<br />

synergistic effect. The enhancement in N content in dry matter<br />

and grain was observed due to application of D.S, C.W or P.M<br />

(Biswas and Dravid, 1998; Ram, et al., 2000 and Singh, et al.,<br />

2001).<br />

Though there was a decreasing N content in plant straw<br />

at successive stages, significant increased N content was<br />

recorded due to application of C.W alone (T 4<br />

) at 40 DAT over<br />

the application of organic N sources except P. M alone (T 3<br />

)<br />

and combination of three organics at 40 kg N ha -1 each (T 8<br />

).<br />

But the N content due to application of C.W alone (T 4<br />

) got<br />

reduced over the N content due to application of other organic<br />

N sources except D.S + C.W @ 60 kg N ha -1 each (T 6<br />

), D.S +<br />

P.M @ 60 kg N ha -1 each (T 5<br />

) and D.S alone (T 2<br />

) at 65 DAT and<br />

further reduced in straw at harvest except the N content due<br />

to application of D.S alone (T 2<br />

). It might be attributed to the<br />

quicker mineralization rate of C.W as compared to D.S and<br />

P.M due to which the availability of N was more before 40<br />

DAT increasing the N content at 40 DAT and further decreased<br />

in the subsequent stages.<br />

Table 1.<br />

Effect of organics and inorganics on N content (%) of rice straw at different stages and grain at harvest.<br />

Treatments Ist year 2nd year Pooled Ist year 2nd year Pooled Straw at harvest Pooled Grain at harvest Pooled<br />

40 DAT 40 DAT<br />

65 DAT 65 DAT<br />

Ist year 2nd year<br />

Ist year 2nd year<br />

T 1 1.59 1.74 1.67 1.19 1.31 1.25 0.31 0.33 0.32 1.01 1.17 1.02<br />

T 2 1.98 2.14 2.06 1.53 1.62 1.58 0.36 0.37 0.39 1.09 1.20 1.15<br />

T 3 2.27 2.45 2.36 1.63 1.83 1.73 0.44 0.45 0.48 1.15 1.25 1.24<br />

T 4 2.31 2.48 2.40 1.46 1.84 1.65 0.34 0.39 0.40 1.08 1.20 1.14<br />

T 5 2.20 2.28 2.24 1.55 1.71 1.63 0.37 0.42 0.43 1.12 1.23 1.20<br />

T 6 2.21 2.24 2.22 1.57 1.70 1.64 0.38 0.40 0.43 1.13 1.22 1.20<br />

T 7 2.24 2.39 2.32 1.60 1.84 1.72 0.41 0.44 0.46 1.14 1.24 1.22<br />

T 8 2.37 2.52 2.45 1.66 1.87 1.76 0.46 0.47 0.51 1.16 1.26 1.25<br />

T 9 2.46 2.60 2.53 1.76 1.90 1.83 0.48 0.49 0.53 1.22 1.28 1.30<br />

C.D. (P=0.05) 0.12 0.07 0.07 0.10 0.06 0.06 0.04 0.04 0.03 0.05 0.04 0.03


236 Trends in Biosciences 5 (3), <strong>2012</strong><br />

Almost similar trend was observed in the N content of<br />

straw and grain at harvest with the only exception that N<br />

content due to application of D.S alone (T 2<br />

) increased slightly<br />

over the N content due to supplication of C.W alone (T 4<br />

).<br />

P content of rice straw at different stages and grain at<br />

harvest:<br />

The data based on P content of rice straw at different<br />

stages and grain at harvest (Table 2) revealed that there was<br />

significant variation due to different treatments during both<br />

the years of experimentation during 2001 and 2002. P content<br />

(%) of rice straw at different stages was less than the P content<br />

of grain at harvest. P content of rice straw was recorded<br />

maximum at 40 DAT; but decreased as the crop proceeded<br />

towards maturity. It might be due to dilution effect and fixation<br />

of applied P in soil. It is evident from the pooled data that<br />

incorporation of N through chemical fertilizer (T 9<br />

) and D.S +<br />

P.M + C.W @ 40 kg N ha -1 each (T 8<br />

) did not produce any<br />

significant variation in P content of rice straw at different<br />

growth stages while differing significantly in grain at harvest.<br />

However, incorporation of N through organics increased<br />

P content over control (T 1<br />

) and application of N through<br />

chemical fertilizer (T 9<br />

) followed by the treatment receiving all<br />

the organics @ 40 kg N ha -1 each (T 8<br />

) showed superiority<br />

over all the N sources along with control (T 1<br />

). This may be<br />

ascribed to the increased solubility of P with application of<br />

organics. Increased P content might also be attributed to the<br />

increase in soil available P due to appreciable amount of P<br />

present in organics (particularly press mud) and also due to<br />

solubilization of insoluble forms of phosphate by organic acids<br />

produced during the decomposition process (Subramaniyan<br />

and Wahab, 1997). The observation of increased yield as well<br />

as P content as a result of NPK fertilization (T 9<br />

) is self<br />

explanatory and substantiates the findings of Dixit and Gupta,<br />

2000.<br />

The presence of N in soil favoured the utilization of P<br />

and K efficiently by plants. The improvement in utilization of<br />

P is brought about through the effect of N on root proliferation,<br />

extent of distribution of P in soil (Grune and Krant, 1958 and<br />

Subramaniyan and Wahab, 1997). Phosphorous is directly<br />

related to the vegetative and reproductive phases of the crop<br />

and attributes complex phenomenon of P utilization in plant<br />

metabolism. Since this element enters into the oxidative<br />

disintegration process of carbohydrate to yield hexose<br />

phosphate which further transformed due to development of<br />

meristematic tissues, cell division, leaf-area development and<br />

grain filling. It has also helped in the efficient absorption and<br />

utilization of the other required plant nutrients which ultimately<br />

increased the grain and straw yields, confirming the findings<br />

of Singh and Rai, 2002.<br />

K content of rice straw at different stages and grain at<br />

harvest:<br />

The data pertaining to the K content (%) in plant at<br />

different growth stages are presented in Table 3. The K<br />

content was higher at 40 DAT but it decreased in the later<br />

stages (65 DAT) and further increased in straw at harvest.<br />

Analysis of data revealed significant variations in K content<br />

Table 2.<br />

Effect of organics and inorganics on P content (%) of rice straw at different stages and grain at harvest.<br />

Treatments Ist year 2nd year Pooled Ist year 2nd year Pooled Straw at harvest Pooled Grain at harvest Pooled<br />

40 DAT 40 DAT<br />

65 DAT 65 DAT<br />

Ist year 2nd year<br />

Ist year 2nd year<br />

T 1 0.187 0.211 0.199 0.157 0.151 0.154 0.055 0.059 0.057 0.242 0.241 0.242<br />

T 2 0.235 0.239 0.237 0.172 0.179 0.176 0.079 0.083 0.081 0.274 0.284 0.279<br />

T 3 0.256 0.280 0.268 0.197 0.201 0.199 0.103 0.114 0.109 0.309 0.326 0.318<br />

T 4 0.231 0.226 0.229 0.168 0.175 0.172 0.071 0.072 0.071 0.270 0.278 0.274<br />

T 5 0.240 0.258 0.249 0.181 0.187 0.184 0.096 0.101 0.099 0.284 0.307 0.296<br />

T 6 0.242 0.251 0.247 0.184 0.182 0.183 0.096 0.095 0.096 0.289 0.299 0.294<br />

T 7 0.253 0.269 0.261 0.192 0.195 0.194 0.102 0.109 0.106 0.301 0.312 0.307<br />

T 8 0.261 0.284 0.273 0.203 0.210 0.207 0.108 0.119 0.114 0.317 0.331 0.324<br />

T 9 0.267 0.289 0.278 0.213 0.219 0.216 0.116 0.127 0.122 0.334 0.342 0.338<br />

C.D. (P=0.05) 0.013 0.007 0.007 0.019 0.013 0.011 0.016 0.011 0.010 0.020 0.008 0.011<br />

Table 3.<br />

Effect of organics and inorganics on K content (%) of rice straw at different stages and grain at harvest.<br />

Treatments Ist year 2nd year Pooled Ist year 2nd year Pooled Straw at harvest Pooled Grain at harvest Pooled<br />

40 DAT 40 DAT<br />

65 DAT 65 DAT<br />

Ist year 2nd year<br />

Ist year 2nd year<br />

T 1 1.61 1.58 1.59 1.03 1.17 1.10 1.28 1.41 1.35 0.194 0.205 0.200<br />

T 2 1.82 1.86 1.84 1.35 1.48 1.42 1.46 1.63 1.55 0.214 0.229 0.222<br />

T 3 1.98 2.22 2.10 1.46 1.61 1.54 1.63 1.81 1.72 0.238 0.243 0.240<br />

T 4 1.80 1.78 1.79 1.33 1.44 1.38 1.43 1.59 1.51 0.210 0.223 0.217<br />

T 5 1.91 2.11 2.01 1.41 1.52 1.47 1.53 1.78 1.66 0.220 0.235 0.228<br />

T 6 1.91 2.10 2.01 1.42 1.51 1.46 1.51 1.74 1.62 0.221 0.235 0.228<br />

T 7 1.97 2.12 2.05 1.44 1.58 1.51 1.60 1.78 1.69 0.233 0.240 0.237<br />

T 8 2.06 2.23 2.15 1.51 1.63 1.57 1.65 1.89 1.73 0.245 0.250 0.248<br />

T 9 2.11 2.34 2.22 1.59 1.70 1.65 1.74 1.98 1.86 0.260 0.262 0.261<br />

C.D. (P=0.05) 0.11 0.11 0.08 0.09 0.08 0.06 0.13 0.08 0.07 0.009 0.011 0.007


DASH, et al., Effect of Organic and Inorganic Sources of Nitrogen on N, P, K and S Content of Rice Grain at Harvest 237<br />

of plant at different growth stages and in grain at harvest due<br />

to different treatments in both the years of field trial. It is<br />

perceptible from the pooled data that application of N through<br />

chemical fertilizer (T 9<br />

) being at par with the application of<br />

combination of three organics @ 40 kg N ha -1 each (T 8<br />

) at 40<br />

DAT increased significantly the K content over rest of the N<br />

sources and the control (T 1<br />

). Increase in K contents in grain<br />

due to NPK fertilization has also been reported by Dixit and<br />

Gupta, 2000. The observation in increased yield as well as K<br />

content as a result of NPK fertilization (T 9<br />

) is self explanatory<br />

and substantiates the findings of Dixit and Gupta, 2000.<br />

Application of three organics @ 40 kg N ha -1 each (T 8<br />

) also<br />

induced significant increment of K content over other<br />

treatments except application of P.M alone (T 3<br />

) at 40 DAT,<br />

P.M alone (T 3<br />

) and P.M + C.W @ 60 kg N ha -1 each (T 7<br />

) at 65<br />

DAT, P.M alone (T 3<br />

), P.M + C.W @ kg N ha -1 each (T 7<br />

) and D.S<br />

+ P.M @ 60 kg N ha -1 each (T 5<br />

) in straw at harvest which<br />

remained at par among themselves.<br />

Among organic N sources, all the sources alone or in<br />

combination enhanced the K content in plant and grain at<br />

harvest at all the stages over without N (T 1<br />

). This might be<br />

due to presence of K in organics (P.M/sludge). This result is<br />

in agreement with those of Subramaniyan and Wahab, 1997.<br />

Further application of organics might be helpful in making<br />

mineralizable K available from native sources to plants that<br />

increased K content in rice straw at different stages and in<br />

grain at harvest.<br />

Presence of N in soil favoured the utilization of K<br />

efficiently by plants. Enhanced utilization of K is brought<br />

about through the effect of N on root proliferation, extent of<br />

distribution of K in soil (Grune and Krant, 1958 and<br />

Subramaniyan and Wahab, 1997.<br />

S content (ppm) of rice straw at different stages and<br />

grain at harvest:<br />

Data on S content in plant recorded at successive growth<br />

stages and in grain at harvest as affected by different<br />

treatments are summarized in Table 4. The perusal of the data<br />

further show that various treatments significantly influenced<br />

the S content in the plant at different growth stages and in<br />

grain at harvest, during both the years of experimentation.<br />

Highest S content was observed at 40 days after transplanting<br />

and thereafter it decreased at subsequent stages and in grain<br />

at harvest which may be due to dilution effect.<br />

It is obvious from the pooled data that application of N<br />

through chemical fertilizer (T 9<br />

) and combination of D.S, P.M<br />

and C.W @ 40 kg N ha -1 each (T 8<br />

) were at par with each other<br />

significantly and increased S content in plants as against other<br />

N sources along with control (T 1<br />

) at all the stages. Rice takes<br />

up sulphur, which is oxidized as SO 4<br />

2-<br />

on the root surface<br />

(Engler and Patrick, 1975). Results corroborated increased S<br />

contents due to higher fertility levels. Similar findings are<br />

observed by Rathore and Singh, 1978.<br />

The S supplying capacity of different organic wastes<br />

depended on the amount present in them and on the differential<br />

rate of mineralization. This might be the reason due to which<br />

the S content of rice straw at all the stages varied, the treatment<br />

receiving all the organics @ 40 kg N ha -1 each (T 8<br />

) was found<br />

to have more S in plants. However, all the organic N sources<br />

produced significant improvement in S content in plant over<br />

the control (T 1<br />

). The availability of easily degradable material<br />

in the organic wastes supported greater biological activity<br />

leading to higher mineralization of S (Singh, et al., 2001). N<br />

application through chemical fertilizer (T 9<br />

) established<br />

superiority over rest of the treatments on S content in plant<br />

and grain. The S contents in plants were recorded in the<br />

decreasing order as T 9<br />

> T 8<br />

> T 3<br />

> T 7<br />

> T 5<br />

> T 6<br />

> T 4<br />

> T 2<br />

> T 1<br />

.<br />

Application of green leaf manure along with S fertilizer<br />

increased S content of rice crop (Poongothai, et al., 1999).<br />

Application of FYM increased S uptake by wheat when applied<br />

in conjunction with fertilizer. The increased S concentration<br />

was observed in the leaves of cane treated with SPMC<br />

(Yaduvanshi, 1998). Increase in root proliferation as a result<br />

of better plant growth through applied S has been observed<br />

in maize (Pasricha, et al., 1977). Increasing levels of S increased<br />

straw and grain S content (Sarkunan, et al., 1998).<br />

Grain Yield<br />

It is quite obvious from the pooled data that application<br />

of N through chemical fertilizer (T 9<br />

) brought about significant<br />

improvement in grain yield and established superiority over<br />

Table 4.<br />

Effect of organics and inorganics on S content (%) of rice straw at different stages and grain at harvest.<br />

Treatments Ist year 2nd year Pooled Ist year 2nd year Pooled Straw at harvest Pooled Grain at harvest Pooled<br />

40 DAT 40 DAT<br />

65 DAT 65 DAT<br />

Ist year 2nd year<br />

Ist year 2nd year<br />

T 1 0.207 0.232 0.220 0.166 0.183 0.175 0.136 0.141 0.139 0.101 0.111 0.106<br />

T 2 0.240 0.266 0.253 0.185 0.218 0.202 0.155 0.170 0.163 0.116 0.125 0.121<br />

T 3 0.293 0.301 0.297 0.234 0.261 0.248 0.189 0.202 0.196 0.139 0.148 0.144<br />

T 4 0.243 0.253 0.248 0.191 0.229 0.210 0.160 0.173 0.167 0.118 0.130 0.124<br />

T 5 0.261 0.277 0.270 0.209 0.237 0.223 0.169 0.183 0.176 0.123 0.138 0.131<br />

T 6 0.254 0.271 0.263 0.212 0.230 0.221 0.171 0.177 0.174 0.128 0.132 0.130<br />

T 7 0.286 0.294 0.290 0.228 0.254 0.241 0.183 0.195 0.189 0.132 0.144 0.138<br />

T 8 0.305 0.317 0.311 0.241 0.269 0.255 0.195 0.213 0.204 0.145 0.155 0.150<br />

T 9 0.311 0.322 0.317 0.246 0.276 0.261 0.197 0.216 0.207 0.148 0.159 0.154<br />

C.D. (P=0.05) 0.010 0.011 0.007 0.008 0.010 0.006 0.009 0.007 0.006 0.007 0.009 0.005


238 Trends in Biosciences 5 (3), <strong>2012</strong><br />

Table 5.<br />

Effect of organics and inorganics on grain and straw yield of rice.<br />

Treatments<br />

Ist year 2nd year Pooled Ist year 2nd year Pooled<br />

Grain Yield<br />

(kg ha -1 )<br />

Grain Yield<br />

(kg ha -1 )<br />

Straw yield<br />

(kg ha -1 )<br />

Straw yield<br />

(kg ha -1 )<br />

T 1 1783.3 1966.7 1875.0 3316.7 3516.7 3416.7<br />

T 2 3266.7 3833.3 3550.0 4883.3 5633.3 5258.3<br />

T 3 3833.3 4433.3 4133.3 5333.3 6166.7 5750.0<br />

T 4 3116.7 3716.7 3416.7 4733.3 5550.0 5141.7<br />

T 5 3516.7 4150.0 3833.3 5016.7 5933.3 5475.0<br />

T 6 3566.7 4083.3 3825.0 5100.0 5916.7 5508.3<br />

T 7 3783.3 4316.7 4050.0 5333.3 5983.3 5658.3<br />

T 8 4233.3 4716.7 4475.0 5716.7 6300.0 6008.3<br />

T 9 4683.3 5283.3 4983.3 6183.3 6850.0 6516.7<br />

C.D. (P=0.05) 198.0 190.0 131.9 363.3 530.0 308.8<br />

the application of organic N source and the control (T 1<br />

).<br />

Among organic N sources, supplying N through combination<br />

of D.S, P.M and C.W @ 40 kg N ha -1 each (T 8<br />

) significantly<br />

increased the grain yield as against the application of rest of<br />

the organic N sources. The addition of N through chemical<br />

fertilizers (T 9<br />

) and different combination of organic N sources<br />

(T 8,<br />

T 7,<br />

T 6,<br />

T 5<br />

) produced significantly more grain yield over the<br />

incorporation of organic N sources alone (T 2<br />

, T ) with the<br />

4<br />

exception of the addition of P.M alone (T 3<br />

) and the control<br />

(T 1<br />

). However, all the treatments increased the grain yield<br />

significantly as against no fertilizer/manure (T 1<br />

). The trend<br />

observed in increasing order was: T 1<br />

> T 4<br />

> T 2<br />

> T 6<br />

> T 5<br />

> T 7<br />

><br />

T 8<br />

> T 9.<br />

It is, by and large, true that dwarf indica rice varieties<br />

have high rate of responsiveness towards fertilizer application<br />

and more particularly for N because of their conducive genetic<br />

make up. The findings of the present investigation revealed<br />

profound effect of N on yield and yield attributes of rice. It<br />

was noticed that the grain yield due to application of N<br />

through chemical fertilizer and various organics was<br />

associated with the number of grains per panicle, effective<br />

tillers m -2 and test weight of 1000 grains. Correlation studies<br />

have shown that grain yield is highly correlated with yield<br />

attributes (Hernandez, 1956).<br />

The present investigations revealed significant increase<br />

in the yield attributes under N application through chemical<br />

fertilizer (T 9<br />

) followed by N through D.S + P.M + C.W (T 8<br />

) due<br />

to increased absorption of nutrients and their assimilation.<br />

Supply of N in balanced quantity enabled the rice plants to<br />

assimilate sufficient photosynthetic products and, thus,<br />

increased the dry matter accumulation. With increased dry<br />

matter and photosynthetic products, coupled with efficient<br />

translocation, plant produced more panicles with more number<br />

of fertile grains with increased test weight and ultimately higher<br />

grain yield.<br />

Straw Yield<br />

Application of N through chemical fertilizer (T 9<br />

)<br />

enhanced the straw yield significantly as against organic N<br />

sources and no N (T 1<br />

), which might be attributed due to quicker<br />

conversion of urea making N available to rice plants easily as<br />

compared to organics which release most of N after<br />

mineralization.<br />

Straw yield of a crop is closely related to the vegetative<br />

growth viz., plant height, tiller numbers, leaf numbers and<br />

final stand of a crop (Singh and Verma, 1971). The beneficial<br />

effect of any treatment on one or more of these characters<br />

without a corresponding decrease in one or more of them will<br />

result in increased straw yield. In the present investigation,<br />

the N application through any means enhanced the growth<br />

attributes that ultimately led to higher straw yield.<br />

Among organic N sources, incorporation of D.S, P.M<br />

and C.W @ 40 kg N ha -1 each (T 8<br />

) being at par with<br />

incorporation of P.M alone (T 3<br />

) significantly improved the<br />

straw yield over rest of the treatments treated with organics<br />

along with control (T 1<br />

). The availability of mineralizable N and<br />

other nutrients might be more in case of the treatment T 8<br />

followed by the treatment T 3<br />

than the treatments with organics<br />

due to differential rate of organic N mineralization in soil<br />

(Mukherjee, et al., 1995).<br />

Incorporation of organics such as D.S, P.M and C.W<br />

increased the straw yield of rice (Ram, et al., 2000; and Tiwari,<br />

2002).<br />

Application of N through chemical fertilizer (T 9<br />

) increased<br />

the N, P, K and S contents significantly at different stages<br />

including grain and straw at harvest by the crop over no<br />

fertilizer/manure (T 1<br />

). Among various organic N sources, N<br />

application through combination of D.S, P.M and C.W @ 40<br />

kg N ha -1 each (T 8<br />

) resulted in higher N, P, K and S contents in<br />

plants over all other organic N sources at all the stages of<br />

straw and grain.<br />

LITERATURE CITED<br />

Biswas, D.R. and Dravid, M.S. 1998. Effect of press mud on utilization<br />

of P and uptake of N and K by rice in acid soils of Ranchi and<br />

Kharagpur. J. Nuclear Agriculture and Biology, 27: 4, 236-244.<br />

Broadbent, F. E. 1979. In: Nitrogen and Rice. pp. 105 – 118, Int. Rice<br />

Res. Inst., Los Banos, Philippines.<br />

De Dutta, S. K. 1984. Availability and management of nitrogen in


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lowland rice in relation to soil characteristics. Workshop on<br />

‘Characterization, classification and utilization of wetland soils’.<br />

Mannual IRRI, Manila, Philippines.<br />

Dixit, K.G. and Gupta, B.R. 2000. Effect of farmyard manure, chemical<br />

and biofertilizers on yield and quality of rice (Oryza sativa L.) and<br />

soil properties. J. Indian Soc. Soil Sci., Vol. 48(4): 773-780.<br />

Engler, R. M., and Patrick, W. H., Jr. 1975. Stability of sulfides of<br />

manganese, iron, zinc, copper, and mercury in flooded and<br />

nonflooded soil. Soil Sci. 119: 217 – 221.<br />

Grune, D.L. and Krant, B. A. 1958. Nitrogen fertilization increases<br />

NPK content in oats. Agron. J., 50: 702 – 732.<br />

Hernandez, S. E. 1956. Studies on soil fertility in Hyderabad. J. Soil Sci.<br />

Soc., Philippines, 8: 19 – 22.<br />

Jackson, M. L. 1967. Soil chemical analysis, Prentice Hall of India Pvt.<br />

Ltd., New Delhi.<br />

Josheph, P. A. and Prasad, R. 1992. Nutrient concentration and uptake<br />

by wheat. Fert. News, 37: 33 – 35.<br />

Mukherjee, D., Chattopadhyay, M. K. and Chakravarty, A. 1995. Some<br />

aspects of chemical changes as influenced by different organic<br />

additives in entisol of Gangetic origin. Ad. Plant Sci., 8 (1): 169 –<br />

176.<br />

Pasricha, N. S.; Randhawa, N. S.; Bahl, G. S. and Dev, G. 1977. Indian J.<br />

Agric. Sci., 47, 336. In: Sarkunan, V.; Misra, A. K. and Mohapatra,<br />

A. R. (1998). Effect of Cadmium and Sulphur on Yield and their<br />

Content in Rice. J. Indian Soc. Soil Sci., 46(4): 704 – 706.<br />

Poongothai, S., Savithri, P., Vennila and Joseph, Biju. 1999. Influence<br />

of Gypsum and Green Leaf Manure Application on Rice and on Soil<br />

Deficient in Sulphur. J. Indian Soc. Soil Sci., 47(1): 96 – 97.<br />

Ram, S.; Chauhan, R.P.S; Singh, B.B and Singh, V.P. 2000. Integrated<br />

use of organic and fertilizer nitrogen in rice (Oryza sativa) under<br />

partially reclaimed sodic soil. Indian J. Agric. Sci., 70: 2, 114-116.<br />

Rathore, S. S. and Singh, R. M. 1978. Uptake of nitrogen and phosphorus<br />

by wheat as influenced by soil moisture regime, nitrogen and<br />

phosphorus fertilization. Indian J. Agron., 23(4): 326 – 330.<br />

Sarkunan, V.; Misra, A. K. and Mohapatra, A. R. 1998. Effect of cadmium<br />

and sulphur on yield and their content in rice. J. Indian Soc. Soil<br />

Sci., 46(4): 704–706.<br />

Singh, G. R., Chaure, N. K. and Parihar, S. S. 2001. Organic farming for<br />

sustainable agriculture. Indian Farming, June, pp. 12 – 14 & 17.<br />

Singh, S. K., Baser, B. L. and Shyampura, R. L. 2001. Variability in<br />

hydrological characteristics of two vertisols in Rajasthan. J. Indian<br />

Soc. Soil Sci., 49(2): 239 – 244.<br />

Singh, Tejpal and Rai, R.K 2002. Effect of phosphorous levels and<br />

phosphate-solubilizing micro-organisms on yield and yield attributes<br />

of wheat (Triticum aestivum). Indian J. Agronomy, 47 (2): 216 –<br />

220.<br />

Singh, M. and Verma, S. C. 1971. Effect of different rates of nitrogen<br />

and phosphorus application on the yield and yield contributing<br />

characters of TN-1 rice. Indian J. Agron., 16(3): 257–260.<br />

Subramaniyan, K and Wahab, K. 1997. Effect of organic manures and<br />

fertilizer nitrogen on post harvest soil nutrient status, nutrient<br />

uptake and yield of transplanted rice. Madras Agricultural Journal,<br />

84: 2, 78 – 80.<br />

Tiwari, R. C. 2002. Recycling of industrial organic wastes and unban<br />

digested sludge through integrated plant nutrient supply system.<br />

Dept. of Soil Science and Agril. Chem., Instt. of Agri. Sciences,<br />

Banaras Hindu University, Varanasi, Unpublished data of Research<br />

Project Report.<br />

Yaduvanshi, N. P. S. 1998. Effect of Different Sulphur Fertilizers on<br />

Content and Balance of Sulphur and Yield of Sugarcane. J. Indian<br />

Soc. Soil Sci., 46(4): 701–703.<br />

Yamagata, M.; Ae, N.; Otani, T. 1996. Nitrogen uptake response of<br />

crops to organic nitrogen. Japanese Journal of Soil Science and<br />

Plant Nutrition, 67(4): 345-353.<br />

Yoshida, G., Forno, Douglas A., Cock, James H. and Gomez, K. A. 1976.<br />

Manual for physiological studies of rice, IRRI, Los Banos,<br />

Philippines.<br />

Recieved on 08-08-<strong>2012</strong> Accepted on 30-09-<strong>2012</strong>


Trends in Biosciences 5 (3): 240-243, <strong>2012</strong><br />

Incidence of Pod Borer, Helicoverpa armigera Hub. and Their Management Through<br />

Newer Insecticides in Chickpea.<br />

JEEWESH KUMAR, D. C. S<strong>IN</strong>GH AND A. P. S<strong>IN</strong>GH<br />

Department of Entomology, Narendra Deva University of Agriculture Technology, Kumarganj, Faizabad<br />

U.P. 224 229<br />

email: singhjeewesh@gmail.com<br />

ABSTRACT<br />

The present investigations were carried out at Students<br />

Instructional Farm of Narendra Deva University of Agriculture<br />

Technology, Kumarganj, Faizabad and farmers fields during<br />

Rabi, 2007-08. Activity of H. armigera started with flowering<br />

and continues to harvesting stage of the crop. The peak<br />

population were noticed 3 larva/ 10 plants on Sidhauna village<br />

and 2 larva/ 10 plants at Pandepurwa, Pithla and Jorium in 10 th<br />

standard weeks at a minimum temperature of 13.8 0 C, maximum<br />

temperature of 30.1 0 C, relative humidity 68.0% and no rainfall<br />

recorded during crop season. The larval population was positive<br />

correlation with minimum temperature, maximum temperature<br />

and relative humidity in village of Sidhauna. In case of<br />

Padepurwa and Pithla larval population was positively<br />

correlated with minimum temperature, relative humidity and<br />

negatively correlated with minimum temperature. In Jorium<br />

larval population was positive correlation with relative humidity<br />

and negative correlation with minimum and maximum<br />

temperature. Studied for management of H. armigera on<br />

chickpea carried out by using five insecticides, in which<br />

Spinosad 45 SC @ 90 g a.i./ ha was most effective treatment<br />

followed by Indoxacarb 14.5 EC @ 50 g a.i/ ha and Novaluron 10<br />

EC @ 100 g a.i/ ha. Endosulfan 35 EC @ 700 g a.i/ ha was least<br />

effective on basis of larval reduction and seed yield. The<br />

maximum cost: benefit ratio was obtained from Indoxacarb<br />

14.5 EC @ 50 g a.i/ ha.<br />

Key words<br />

Chickpea,H. armigera, population dynamics,<br />

Management<br />

One of the most practical means of increasing chickpea<br />

(Cicerarietimum L.) production is to minimize losses caused<br />

by major insect-pests, important among them is gram pod<br />

borer (Helicoverpa armigeraHubner. Lepidoptera :Noctuidae),<br />

the black aphid (Aphis craccivora Koch. Homoptera<br />

:Aphidideae) and the semi-looper (Autographa nigrisigna<br />

Walker. Lepidoptera :Noctuidae). Gram pod borer, H. armigera<br />

(Hub) is known to be the key pest due to high reproduction<br />

rates, a fast generation on turn over, wide genetic diversity<br />

occurs location and an ability to withstand, metabolize and<br />

avoid toxic chemicals. The young larvae feed on the tender<br />

portion of the leaves on shoots by making scratches. Second<br />

and subsequent developed up larvae consume whole leaf,<br />

leaf buds, flower buds and flower. Under severe pest<br />

infestation, whole crop may get defoliated. With the<br />

availability of pods, the 3 rd instar larvae make a hole in the<br />

pods and move inside to feed on the grains, where as fully<br />

developed larvae feed after making a hole in the pods and<br />

thrusting its head, there in while keeping hind parts of the<br />

body outside. The yield loss in chickpea due to H. armigera<br />

was reported as 10-60% in the normal weather condition<br />

(Vaishmpayan and Veda, 1980). The single larva of H. armigera<br />

may destroy 30-40 pods in its lifetime (Atwal and Dhaliwal,<br />

2005).<br />

MATERIALS AND METHODS<br />

The experimental site lies between 26.47 0 N latitude,<br />

82.12 0 E longitude and 113 m above from the sea level in the<br />

sub-tropical belt of the country and soil is alkaline to normal.<br />

For recording the incidence of H. armigera during crop season,<br />

the population of larvae was observed on 10 randomly selected<br />

plants at a location at weekly intervals. There were four sites<br />

for observation of this insect at farmer’s field and correlated<br />

between larval population and abiotic factors i.e. minimum<br />

temperature, maximum temperature and relative humidity were<br />

worked out. To find out the effective insecticides against pod<br />

borer an experiment was laid out in a Randomized Block Design<br />

with five treatments including control in four replication at<br />

the Student Instructional farm of Narendra Deva University<br />

of Agriculture and Technology Kumarganj, Faizabad. Larval<br />

populations of gram pod borer were recorded at weekly<br />

intervals on 10 randomly selected plants/ plot starting with 50<br />

% flowering till harvest. The spraying of insecticides were<br />

applied when infestation was reach at ETL (1.5 larvae/ row<br />

length). In addition, the seed yield was recorded after harvest<br />

of the crop. The cost effectiveness was determined by working<br />

out cost: benefit ratio.<br />

RESULTS AND DISCUSSION<br />

The data recorded on larval population of H. armigera<br />

during Rabi 2007-08 have been presented in Table-1 It is<br />

evident from data that pest activity started with flowering and<br />

continued till harvesting stage of crop. The presence of larvae<br />

of H. armigera could be noticed first time in 7 th standard week<br />

in villages Sidhauna and Jorium and in 8 th standard weeks on<br />

Padepurwa and Pithla village. The populationsat above<br />

periods of observation were 1 larva/ 10 plants were at all four<br />

villages.<br />

The maximum population were recorded 3 larva/ 10<br />

plants on Sidhauna village and 2 larva/ 10 plants at<br />

Pandepurwa, Pithla and Jorium in 10 th standard weeks at a


KUMAR, et al., Incidence of Pod Borer, Helicoverpa armigera Hub. and Their Management Through 241<br />

minimum temperature of 13.8 0 C, maximum temperature of 30.1 0<br />

C, relative humidity 68.0 per cent and 0.00 rainfall. Thereafter,<br />

decline in number of larval population was recorded in<br />

subsequent weeks and reached to its minimum i.e. 1 larva/ 10<br />

plants in 12 th SW at Sidhauna and Jorium. In case of<br />

Pandepurwa and Pithla population was reached to its 1 larva/<br />

10 plants in 13 th SW when crop was ready to harvest. Similarly<br />

Shan and Shahzad, 2005 reported that pest population was<br />

low during 49 th to 6 th standard weeks but increased from 7 th<br />

standard weeks onward and declined again 14 th standard<br />

weeks and Singh, et al., 2005 found that population started to<br />

increase again from mid-February (1.0-1.8 larvae/ m 2 ) until the<br />

second week of April (8.0-10.8 larvae/ m 2 ), then declined<br />

abruptly. Vishwa Dhar, et al., 2003 reported that a sudden rise<br />

(75 0 C) in the minimum temperature around 7-8 standard weeks<br />

(Second fortnight of February) and rainfall during 1-9 standard<br />

weeks (January to February) were associated with a<br />

considerable adult population during 5-7 standard weeks,<br />

which triggered a major rise in the pest population around 10-<br />

14 standard weeks (Second fortnight of March). Gupta, et al.,<br />

2004 observed that infestation by H. armigera occurred in<br />

March and April, with maximum moth catches of 70 per cent<br />

during the last fortnight of March and first fortnight of April.<br />

Singh and Ali, 2006 reported that the larval activity of H.<br />

armigera continued throughout the crop season with two<br />

peaks, first from 45 to 49 standard weeks and second from 5-<br />

13 standard weeks. The highest larval population was observed<br />

from 45 to 12 th standard weeks respectively.<br />

Correlation between larval population and weather<br />

parameters viz., minimum temperature, maximum temperature,<br />

relative humidity and rainfall have been given in Fig. 1. It is<br />

evident from data that larval population showed positive<br />

correlation with minimum temperature (+ 0.384), maximum<br />

temperature (+ 0.206) and relative humidity (+ 0.523), at<br />

Sidhauna. In case of Pandepurva and Pithala, larval population<br />

had positive associationship with minimum temperature (+<br />

0.500), relative humidity (+ 0.156) and negative correlation<br />

with maximum temperature (- 0.031). Larval population of Jorium<br />

was positively correlated with relative humidity (+ 0.833) and<br />

negatively correlated with minimum temperature (-0.019) and<br />

maximum temperature (- 0.026). Singh, 2003 observed that<br />

temperature and rainfall had significant positive correlation<br />

with larval population. The maximum and minimum humidity<br />

had significant negative correlation and sunshine hours had<br />

no significant effect on larval population. It is reported that a<br />

positive correlation existed between the eggs, larval instar<br />

and overall density of H. armigera and the average maximum<br />

and minimum temperature. However, a negative correlation<br />

existed between the eggs, larval instar and overall density of<br />

H. armigera and the average morning per cent relative<br />

humidity. The eggs, larval instar and overall density of this<br />

pest had no relationship with evening per cent relative<br />

humidity. Singh, et al., 2005 reported that maximum temperature<br />

and minimum temperature had positive correlation with the<br />

larval population. Rainfall had a positive correlation with larval<br />

population may during 1998-99. The maximum relative humidity<br />

was negatively correlated with the larval population of H.<br />

armigera. Singh, et al., 2005 also found positive correlation<br />

with minimum temperature, maximum temperature and rainfall,<br />

while negative correlation with relative humidity.<br />

Effect of treatments on the larval population of H.<br />

armigera represented in Table 2, indicated the larval<br />

population was homogenously distributed throughout<br />

experimental plots before the application of treatments. All<br />

treatments were significantly superior over the control when<br />

observations were made 7 at days after treatments. Spinosad<br />

45 SC @ 90 g a.i./ ha showed maximum larval population<br />

reduction 75.00% followed by Indoxacarb 14.5 EC @ 50 g a.i./<br />

ha in which reduction of larval population was 71.43% then<br />

Novaluron 10 EC @ 100 g a.i./ha with 62.50% was noticed.<br />

Endosulfan 35 EC @ 700 g a.i./ ha was least effective with<br />

Fig. 1.<br />

Correlation between larval population of H. armigera<br />

and abiotic factors during crop season.<br />

Table 1.<br />

Helicoverpa armigera intensity in chickpea crop in villages of Faizabad district<br />

Standard week<br />

Larval population/10 plants<br />

Abiotic factors<br />

Villages<br />

Mean<br />

Temperature ( 0 C)<br />

Sidhauna Padepurva Pithla Jorium<br />

R.H. (%) Rainfall (mm)<br />

Min. Max.<br />

6 0 0 0 0 0.00 9.9 23.1 67.3 0.00<br />

7 1 0 0 1 0.50 4.7 23.7 55.8 0.00<br />

8 1 1 1 1 1.00 8.7 26.4 63.1 0.00<br />

9 2 1 1 2 1.50 10.5 27.9 68.0 0.00<br />

10 3 2 2 2 2.25 13.8 30.1 68.0 0.00<br />

11 2 2 2 1 1.75 19.5 31.8 51.0 0.00<br />

12 1 1 1 1 1.00 16.5 34.9 51.5 0.00<br />

13 0 1 1 0 0.50 15.5 35.5 42.7 0.00


242 Trends in Biosciences 5 (3), <strong>2012</strong><br />

Table 2. Effectiveness of treatments against larval population of H. armigera in chickpea during Rabi 2007-08<br />

Treatments<br />

Reduction in larval population<br />

(%) days after spraying<br />

7 days 14 days Mean<br />

Yield<br />

(q/ha)<br />

Saved seed yield<br />

due to treatment<br />

(%)<br />

Common name<br />

Trade<br />

name<br />

Dose<br />

(g a.i./ha)<br />

Novaluron 10 EC Rimon 100 62.50 33.33 47.91 18.75 22.47<br />

Indoxacarb 14.5 EC Steward 50 71.43 50.00 60.71 19.31 26.13<br />

Spinosad 45 SC Tracer 90 75.00 50.00 62.50 21.25 38.80<br />

Endosulfan 35 EC Thiodan 700 50.00 33.33 41.67 17.50 14.30<br />

Control (water spray) - 14.28 16.67 15.47 15.31 -<br />

SEm± 2.57 0.75 2.11 0.16 -<br />

C.D. 7.79 2.30 6.86 0.62 -<br />

Table 3. Cost benefit ratio of treatments used for the management of H. armigera in chickpea during Rabi 2007-08.<br />

Treatments<br />

Dose<br />

(g a.i./ha)<br />

Cost of<br />

Treatments<br />

(Rs/ha)<br />

Yield<br />

(q/ha)<br />

Saved yield due to<br />

treatment<br />

(q/ha)<br />

Benefit due to<br />

treatment<br />

(Rs/ha)<br />

Cost :<br />

benefit ratio<br />

Common name<br />

Trade<br />

name<br />

Novaluron 10 EC Rimon 100 3930.00 18.75 3.44 10320 1:2.62<br />

Indoxacarb 14.5 EC Steward 50 1692.70 19.31 4.00 12000 1:7.09<br />

Spinosad 45 SC Tracer 90 2808.67 21.25 5.94 17820 1:6.34<br />

Endosulfan 35 EC Thiodan 700 1330.00 17.50 2.19 6750 1:5.97<br />

Control (water spray) - 430.00 15.31 - - -<br />

50.00% reduced in larval population. Data recorded 14 days<br />

after spray revealed that all treatments were effective and<br />

significantly better than control. Maximum reduction in larval<br />

population (50 %) was obtained by both treatments (Spinosad<br />

45 SC @ 90 g a.i./ ha and Indoxacarb 154.5 EC @ 100 g a.i./<br />

ha),Novaluron 10 EC @ 100 g a.i./ha and Endosulfan 35 E.C.<br />

@ 700 g a.i./ ha showed 33% reduction. Pooled data from 7<br />

and 14 days after spraying also spinosad performed better in<br />

comparison to other treatments with 62.50% larval reduction<br />

and saved yield due to treatment 38.80% followed by<br />

Indoxacarb 60.71% larval reduction and 26.12% saved yield.<br />

Spinosad 45 SC when tested by Gowda, et al., 2003 at different<br />

doses also recorded significantly lower pod damage and higher<br />

grain yield as compared to Endosulfan 35 EC @ 700 g a.i./ ha.<br />

Indoxacarb 14.5 EC treated plots gave highest cost: benefit<br />

ratio 1:7.09 followed by Spinosad 45 SC treated plots (1:6.34).<br />

But Rahman, et al., 2006 observed that Steward 14.5 EC<br />

(Indoxacarb) was the most effective with highest larval<br />

mortality 97.38% also Babaria, et al., 2010 reported that<br />

indoxacarb 0.0075% caused highest 89-96% mortality of the<br />

H. armigera followed by spinosad 0.009% with 86-95%.<br />

Sharma, et al., 2011 indicate Emamectin benzoate 5 SG in<br />

combination with Acetamiprid 20 SP or Dimethoate 30 EC gave<br />

lowest pod damage (13.30 and 11.95%). Singh and Ali, 2005<br />

observed that maximum larval mortality was recorded in<br />

Endosulfan (85%) followed by Bt formulation (80%) and<br />

HaNPV at 450 LE/ ha (75%). NSKE was least effective<br />

treatment.<br />

Table 2 revealed that produced of all treatments<br />

significantly higher yield than control (water spray). Spinosad<br />

45 SC (90 g a.i./ ha) produced maximum yield of 21.25 q/ ha<br />

and benefit due to treatment Rs. 17820 followed by Indoxacarb<br />

14.5 EC (50 g a.i./ ha) with yield 19.31/ ha and benefit Rs.<br />

12000 and Novaluron 10 EC (100 g a.i./ ha) yield recorded was<br />

18.75 q/ ha and benefit Rs. 10320. Endosulfan 35 EC (700 g<br />

a.i./ ha) gave lowest yield of 15.31 q/ ha and benefit Rs. 6750<br />

as compared to other insecticidal treatments. Maximum cost<br />

benefit ratio was recorded by Indoxacarb 1: 7.09 followed by<br />

Spinosad 1: 6.34. The effectiveness of Spinosad was highly<br />

effective in comparison to other treatment but due to more<br />

costly insecticides it have not gave maximum cost benefit<br />

ratio. Sharma, et al., 2011 recorded Emamectin benzoate 5 SG<br />

in combination with Acetamiprid 20 SP or Dimethoate 30 EC<br />

gave higher grain yield of 1399 and 1392 kg/ha. Effectiveness<br />

of emamectin benzoate, which is based on green chemistry,<br />

will help in achieving less yield losses through reduction in<br />

H. armigera incidence. Also Babaria, et al., 2010 highest grain<br />

yield of pigeonpea 1486 kg /ha and net return Rs. 19824 / ha<br />

were recorded with indoxacarb 0.0075 per cent treatment which<br />

was followed by spinosad 0.009 per cent (1451 kg /ha and net<br />

return Rs. 18844).<br />

LITERATUTRE CITED<br />

Atwal, A.S. and Dhaliwal, G.S. 2005. Agricultural Pests of South Asia<br />

and their Management, Kalyani Publisher, New Delhi.<br />

Babaria, P. M., Kabaria, B. B., Patel, V. N. and Joshi, M. D. 2010.<br />

Chemicalcontrol of gram pod borer, Helicoverpa armigera Hubn.<br />

infesting pigeonpea. Legume Research. 33 (3):224-1-226.<br />

Gupta, S., Kanaujia, S. and Kanaujia, K.R. 2004. Population dynamics<br />

of Helicoverpa armigera and C. chlorideaeon chickpea and<br />

sunflower using sex pheromone. Pl. Protec. Bull., 56 (1/2): 14-16.<br />

Shahzad, M.K. and Shan, Z.A. 2003. Screening of the pest insecticide<br />

in including the chickpea pod damage inflicted by gram pod borer,<br />

Helicoverpa armigera (Lapidoptera: Noctuida) in Faislabad. Pakistan<br />

J. Biological Sci., 6(3): 1156-1158.<br />

Sharma, O. P., Bhosle, B. B., Kamble, K. R., Bhede, B. V. and Seeras, N.<br />

R. 2011. Management of pigeonpea pod borers with special


KUMAR, et al., Incidence of Pod Borer, Helicoverpa armigera Hub. and Their Management Through 243<br />

reference to podfly (Melanagromyza obtusa). Indian Journalof<br />

Agriculture Science, 81(6):313-316.<br />

Singh, R. and Ali, S. 2005. Efficacy of bio-pesticides in management of<br />

Helicoverpa armigera (Hub.) in chickpea. Ann. Pl. Protec. Sci.,<br />

13(1): 94-96.<br />

Singh, R. and Ali, S. 2006. Seasonal incidence of Helicoverpa armigera<br />

and Campoletischlorideae on chickpea. Ann. Pl. Protec. Sci., 14(1):<br />

234-235.<br />

Singh, V., Singh, R.K. and Prakash, V. 2005. Seasonal occurrence of<br />

larval population of Helicoverpa armigera on chickpea in northwest<br />

Rajasthan. Indian J. Pulse Res., 18(1): 92-93.<br />

Vaishampayan, S.M. and Veda, O.P. 1980. Population dynamics of<br />

gram pod borer (Helicoverpa armigera) in chickpea at Pantnagar<br />

(U.P.), Indian J. Pl. Prot., 15: 39-41.<br />

VishwaDhar, Trivedi, T.P., Yadav, C.P. and Das, D.K., Dhandapani, A.,<br />

Singh, S.K., Choudhary, R.G., Devraj and Kumar, M. 2003.<br />

Protection of Helicoverpa armigera attack on pigeonpea in central<br />

Uttar Pradesh. IIPR, Newletter, 14(2): 3.<br />

Recieved on 18-08-<strong>2012</strong> Accepted on 30-09-<strong>2012</strong>


Trends in Biosciences 5 (3): 244-245, <strong>2012</strong><br />

Efficacy of Some Triazole and Strobilurin Fungicides against Rust Disease of Field<br />

Peas<br />

R S BAL AND A KUMAR<br />

PAU, Regional Research Station, Gurdaspur, Punjab 143 521<br />

e-mail: rsbalgsp@gmail.com<br />

ABSTRACT<br />

Rust of pea caused by Uromyces pisi is a major constraint to pea<br />

production. An experiment was conducted at Regional Research<br />

Station, Gurdaspur during Rabi, 2010-11 to control the pea rust<br />

disease with foliar sprays of the strobilurin and triazole<br />

fungicides in different combinations. All the fungicides caused<br />

reduction in disease severity. The highest disease reduction of<br />

81.8% was obtained with Score @0.1% followed by 66.5% with<br />

Score @0.05%. The minimum disease severity of 15.05% was<br />

observed with Score @0.1% as compared to 82.7% in the control<br />

plot. There was a significant effect of the fungicidal sprays on<br />

the grain weight. The highest 1000 grain weight of 174.25 g<br />

was obtained with Score @0.1% as compared to 122.75g in the<br />

control plot, thus giving an increase of 41.95% in grain weight<br />

over the control plot.<br />

Key words<br />

Field pea, Rust, Fungicides, Efficacy<br />

Field pea (Pisum sativum L.) is an important leguminous<br />

pulse crop. During the year 2009-10, it was grown on 1.6<br />

thousand hectares in Punjab with a production of 1.8 thousand<br />

tones (Anonymous, 2011). The field pea being a good source<br />

of vitamins, proteins and carbohydrates, is mainly consumed<br />

as pulse. The crop is attacked by many fungal and viral<br />

diseases. Among these, rust caused by Uromyces pisi (Pers)<br />

de Barry is one of the destructive diseases of peas which can<br />

cause high yield reduction within a short period of time. The<br />

disease can cause yield losses in the range of 20-100% (Amin<br />

and Ramachander, 1989).<br />

Different management strategies like biological, cultural,<br />

chemical and growing resistant varieties can be used to control<br />

the disease (Marshi, et al., 1982). Many scientists have triedto<br />

control this disease using various fungicides like Sedozole<br />

and Bavistin (Alam, et al., 2007), Triforine (Amin and<br />

Ramachander, 1989), Mancozeb (Singh, et al., 1992),<br />

Chlorothalonil (Dobson and Giltrap, 1991) and Mancozeb<br />

and Bayleton (Khan, et al., 2009). The pea crop suffers badly<br />

by the rust disease year by year. So far, no sources of resistance<br />

to Uromyces pisi have been reported in pea. Therefore, this<br />

study was planned to control the pea rust disease with some<br />

new triazole and strobilurin fungicides.<br />

MATERIALS AND METHODS<br />

The experiment was conducted at Regional Research<br />

Station, Gurdaspur during Rabi, 2010-11. The seed of field<br />

pea variety PG 3 was sown on 23 rd November, 2010 in a plot<br />

size of 6.0 m 2 in a randomized block design with four<br />

replications. The recommended agronomic practices were<br />

adopted for all treatments. The efficacy of four fungicides<br />

viz., Score (difenoconazole), Tilt (propiconazole), Amistar<br />

(azoxystrobin) and Indofil M45 was tested in different<br />

combinations. Score, Tilt and Amistar were used at<br />

concentrations of 0.1% and 0.05% while Indofil M45 was<br />

used at 0.2% concentration. The first spray was given at the<br />

appearance of the disease. Indofil M45 was sprayed at an<br />

interval of 10 days while the other fungicides were sprayed at<br />

20 day intervals. Data were recorded on disease severity and<br />

1000 grain weight. The data on disease severity were recorded<br />

on the basis of symptoms on leaves. The scoring was done<br />

according to the rating scale of Mayee and Datar, 1986.<br />

Rating Scale used for Scoring Pea Rust<br />

The per cent disease index (PDI) was calculated by using<br />

the formula (Wheeler, 1969) as follows:<br />

Table 1.<br />

PDI =<br />

Per cent disease index<br />

Disease Disease severity description<br />

rating<br />

0 No symptoms on leaf.<br />

1 Rust pustules small, scattered covering 1% or less of leaf area.<br />

3 Rust pustules more in number covering 1-10% of leaf area.<br />

5 Typical rust pustules covering 11-25% of leaf area.<br />

7 Typical rust pustules covering 26-50% of leaf area. Leaf<br />

shedding.<br />

9 Typical rust pustules covering 51% or more of leaf area.<br />

Defoliation severe.<br />

Total sum of individual ratings<br />

× 100<br />

Number of leaves examined × Maximum rating<br />

Data were analyzed following the statistical procedure<br />

of Gomez and Gomez, 1983.<br />

RESULTS AND DISCUSSION<br />

Effect of the fungicides on the severity of pea rust and<br />

1000 grain weight<br />

The effect of different fungicides on the severity of pea<br />

rust is presented in Table 2. The severity of the rust disease<br />

was reduced significantly in all the treatments than the control<br />

plots. The average percent disease index varied from 15.0% to<br />

82.73%. The minimum PDI of 15.0% was recorded with two<br />

sprays of Score @0.1%, followed by 27.73% with two sprays<br />

of Score @0.05%. However, when a single spray of Score<br />

@0.1% was given in combination with two sprays of Indofil


BAL AND KUMAR, Efficacy of some triazole and strobilurin fungicides against rust disease of field peas 245<br />

Table 2. Effect of fungicides on PDI of pea rust and 1000 grain weight.<br />

Treatment<br />

Concentration<br />

(%)<br />

% Disease<br />

index<br />

(PDI)<br />

% Reduction<br />

over control<br />

1000 Grain<br />

weight<br />

(g)<br />

% Increase in<br />

grain weight over<br />

control<br />

T1= Score+Score 0.1 15.00 81.87 174.25 41.95<br />

T2= Amistar+ Amistar 0.1 54.27 34.40 148.25 20.77<br />

T3= Tilt+ Tilt 0.1 66.47 19.65 143.25 16.70<br />

T4= Score+Score 0.05 27.73 66.48 161.25 31.36<br />

T5= Amistar+ Amistar 0.05 69.40 16.11 143.25 16.70<br />

T6= Tilt+ Tilt 0.05 65.80 20.46 134.0 9.16<br />

T7= Indofil M45 + Score + Indofil M45 0.2+0.1+0.2 31.63 61.77 160.0 30.35<br />

T8= Indofil M45+ Amistar+ IndofilM45 0.2+0.1+0.2 50.23 39.28 153.25 24.84<br />

T9= Indofil M45+ Tilt+ IndofilM45 0.2+0.1+0.2 57.13 30.94 147.0 19.75<br />

T10= Indofil M45+ Indofil M45+ Indofil M45 0.2 58.13 29.73 146.25 19.14<br />

T11=control - 82.73 - 122.75 -<br />

CD(5%) 7.52 6.86<br />

M 45 @0.2%, the PDI of rust disease was 31.63%. The highest<br />

disease index of 82.73% was observed in case of the control<br />

plot. The highest reduction (81.87%) in PDI was obtained<br />

with two sprays of Score @0.1%, followed by 66.48% disease<br />

reduction with Score @0.05%. The minimum reduction<br />

(16.11%) in the PDI of pea rust was noted with two sprays of<br />

Amistar @0.05%. The 1000 grain weight was also significantly<br />

increased in all the treatments over the control plot. The<br />

highest thousand grain weight of 174.25g was achieved with<br />

two sprays of Score @0.1% as compared to 122.75 g in the<br />

control plot. The maximum (41.95%) and minimum (9.16%)<br />

increase in grain weight over the control plots was noted with<br />

Score@0.1% and Tilt @0.1%, respectively.<br />

Relationship between PDI and grain weight<br />

The correlation coefficient (r) of -0.9595 showed a<br />

significant negative correlation between the PDI of rust disease<br />

and 1000 grain weight. It further showed that there was a<br />

progressive decrease in grain weight with the increase in the<br />

severity of rust disease. The contribution of the regression<br />

(R 2 = 0.9207) was 92% (Fig.1).<br />

From the above results, it is clear that Score@0.1% was<br />

the most effective fungicide in reducing the severity of pea<br />

rust. Hence, it can be concluded that the rust disease of field<br />

1000 Grain weight (g)<br />

200<br />

150<br />

100<br />

50<br />

Fig. 1.<br />

y = -0.6569x + 183.05<br />

r = -0.9595<br />

0<br />

0 20 40 60 80 100<br />

PDI of pea rust (%)<br />

Relationship between per cent disease index of pea rust<br />

and grain weight<br />

peas caused by Uromyces pisi can be effectively controlled<br />

by spraying Score@0.1% two times at 20 day intervals starting<br />

at the initiation of the disease symptoms.<br />

LITERATURE CITED<br />

Alam, M.M., Sadat, M.A., Hoque, M.Z. and Rashid, M.H. 2007.<br />

Management of Powdery Mildew and Rust Diseases of Garden Pea<br />

Using Fungicides. Int. J. Sustain. Crop Prod., 2(3): 56-60.<br />

Amin, K.S. and Ramachander, P.R. 1989. Effect of Saprol on epidemic<br />

development of rust and powdery mildew on pea and their influence<br />

on yield. J. Pulses Res. 2(2): 140-146.<br />

Anonymous, 2011. Package of practices for crops of Punjab. PAU,<br />

Ludhiana. pp.36.<br />

Dobson, S.C. and Giltrap, N.J. 1991. Timing of sprays for control of<br />

rust and chocolate spot in spring and winter beans. Aspects of App.<br />

Biol., 27(6): 111-116.<br />

Gomez, K. A. and Gomez, A. A. 1983. Statistical procedures for<br />

Agricultural Research. 2 nd Ed. Intl. Res. Inst. Manila, Philippines.<br />

pp.139-207.<br />

Khan, A.I., Khan, H., Ali, A., Raziq, F., Hussain, S., Ahmad, M. and<br />

Attauddin. 2009. Evaluation of various fungicides and cultivars for<br />

the control of pea rust under natural conditions. Sarhad J. Agric.,<br />

25(2): 261-268.<br />

Marshi, R.P., Gupta, R.B.L. and Matur, A.K. 1982. Response of Pea<br />

varieties to powdery mildew and rust in Rajastan. Indian Phytopath.,<br />

35(2):232-235.<br />

Mayee, C.D. and Datar, V.V. 1986. Phytopathometry. Technical<br />

Bulletin-1 (Special Bulletin 3), Marathwada Agric. Univ. Parbhani.<br />

pp.218.<br />

Singh, S.K., Rahman, S.J., Gupta, B.R. and Kalha, C.S. 1992. An<br />

integrated approach to the management of the major diseases and<br />

insect pests of peas in India. Tropical Pest Mgt., 38(3): 265-267.<br />

Wheeler, B.E.J., 1969. An Introduction to Plant Diseases, John Wiley<br />

and Sons Limited, London.<br />

Recieved on 09-04-<strong>2012</strong> Accepted on 21-08-<strong>2012</strong>


Trends in Biosciences 5 (3): 246, <strong>2012</strong><br />

SHORT COMMUNICATION<br />

Pseudomonas aeruginosa: Of Course I am An Arsenic Eater<br />

POONAM GUSA<strong>IN</strong>*, RAJESH KUMAR AND VIR S<strong>IN</strong>GH<br />

Department of Microbiology, College of Basic Sciences and Humanities, GB Pant University of Agriculture<br />

and Technology, Pantnagar 263 145<br />

email: poonamgsn@gmail.com<br />

Present study was aimed at metal chelator siderophores<br />

produced by fluorescent Pseudomonas cultures.<br />

Pseudomonas strain RK3 was recovered from Pantnagar,<br />

screened for arsenic tolerance traits. Isolate RK3 showed 99%<br />

homology with Pseudomonas aeruginosa using partial 16SrRNA<br />

sequencing. FT-IR study revealed that characteristic<br />

hydroxamate ligands were synthesized by isolate RK3 under<br />

arsenic stress. This finding, sidero-metal interaction warrants<br />

future investigation that may help reduce heavy metals in<br />

contaminated soils.<br />

Transmittance%<br />

90<br />

60<br />

30<br />

2363.43<br />

2325.21<br />

2075.50<br />

980.70<br />

1090.30<br />

Table 1. Characterstic hydroxamate ligand determined in<br />

strain RK3 based on FT-IR<br />

Bonding Wavenumber cm -1<br />

Prim.Aliphatic.group 1090.80<br />

C=O Streching 1638.45<br />

C-OH Streching 1642.83<br />

C=N Streching 2325.21<br />

OH Group 3560<br />

As-O stretching 980.70<br />

0<br />

1642.83<br />

5000 4000 3000 2000 1000<br />

Wavenumber (cm -1 )<br />

Fig.1. Infra red spectra of hydroxamate ligand<br />

430.90<br />

LITERATURE CITED<br />

Nair, A., Juwarkar, A.A., Singh, S.K. 2007. Production and<br />

characterization of siderophores and its application in arsenic<br />

removal from contaminated soil. Water Air and Soil Pollution,<br />

180: 199–212.<br />

Paul, A., Geguere., Leu, I.D. 1952. Infrared spectrum, molecular structure<br />

and thermodynamic functions of hydroxalamine. Canadian Journal<br />

of Chemistry, 30: 648-962.<br />

Recieved on 21-09-<strong>2012</strong> Accepted on 30-09-<strong>2012</strong>


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