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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 />
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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
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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 />
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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 />
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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 />
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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 />
Whincup, P.H., GoK, D.G., Philips, A.N. and Shaper, A.G. 1990. ABO<br />
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
DASH, et al., Effect of Organic and Inorganic Sources of Nitrogen on N, P, K and S Content of Rice Grain at Harvest 239<br />
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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Fox, P.C. and Atkinson, H.J. 1984. Glucose phosphate isomerase polymorphism in field population of the potato cyst<br />
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