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Volume 5 Number 1 April, <strong>2012</strong><br />
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Trends in Biosciences<br />
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Advisory Board<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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Trends in Biosciences<br />
Volume 5 No. 1 April, <strong>2012</strong><br />
CONTENTS<br />
M<strong>IN</strong>I REVIEW<br />
1. Indian Patent Act 2005 in Perspective of Biotechnological Researches, Health and Industry 1<br />
Praveen Gupta and Anil Kumar Dhiman<br />
2. An Emerging Scenario of Long-term Changes in Balanced Dietary Pattern and Food Requirement in Uttar Pradesh 4<br />
Anil Kumar, B.S. Sachan, Jitendra Kumar and M.M. Rajput<br />
RESEARCH PAPERS<br />
3. Generation of Expressed Sequence Tags (ESTs) from Banana Fruit Tissue 8<br />
Madhusudhan, R, Vivek B.C., Manjunath, B and Lalitha Anand<br />
4. Genetic Variability and Character Association in Turmeric (Curcuma longa L.) 11<br />
Abhishek Pratap Singh, V. P. Pandey, S. M. A. Rahman and Rashid Pervez<br />
5. Induced Desynapsis in Capsicum annuum L. 14<br />
Mohd Gulfishan and Ainul Haq Khan<br />
6. Impact of Abiotic Factors on Population of Acridoid Fauna (Orthoptera) in Aligarh Fort, Uttar Pradesh, India 17<br />
Md. Humayoon Akhtar, Mohd. Kamil Usmani and Md. Rashid Nayeem<br />
7. In Vitro Evaluation of Anti Bacterial Properties of Anacardium occidentale L. 20<br />
T.G. Nagaraja and S.S. Shaikh<br />
8. Effect of Sowing Methods, Input and Varieties Levels on Growth, Yield Components, Yield and 22<br />
Nutrient Uptake of Durum Wheat (Triticum durum Desf.)<br />
Piyush Jain<br />
9. Effect of Season on Helminth Parasitic Prevalence, Dominance, Means Intensity and 25<br />
Abundance in Some Fresh Water Scaly Fish<br />
Krishna Singh and Abha Mishra<br />
10. Life cycle, Population Index and Feeding Activities of the Lime Butterfly, Papilio demoleus 31<br />
(Lepidoptera: Rhopalocera: Papilionidae)<br />
Durgesh Nandni, Arun Raghuwanshi and Vinoy Kumar Shrivastava<br />
11. In Vitro Quantification of B-Cell Proliferation in Kidney Culture of Channa striatus Exposed to Different 35<br />
Doses of KOV Antigen of Aeromonas hydrophila, using Lymphocyte Transformation Test (LTT)<br />
S.A. Mastan<br />
12. Pathogenicity and Mass Production of Entomopathogenic Nematode, Heterohabditis indica on Major Insects 38<br />
of Agricultural Importance<br />
Rishi Pal, G.N. Tiwari and C.S. Prasad
13. Bioefficacy of Cow Urine Decoction (CUDs) of Different Plants on Population Growth of Lipaphis 41<br />
erysimi (Kalt.) on B. juncea under Field Conditions<br />
Wajid Hasan and M.S. Ansari<br />
14. Effect of Different Formulations of Bacillus thuringiensis on Larval Mortality of Diacrisia obliqua 45<br />
Zeenat Warsi and Ajay Capoor<br />
15. An Empirical Study of Land Degradation its Magnitudes and Casualities 47<br />
Anil Kumar, B.S. Sachan and Keshav Prasad<br />
16. Comparative Efficacy of Three Chemical Products on the Root-Knot Development and Plant Growth 51<br />
of Green Gram, (Vigna radiata L.)<br />
Mohd. Yaqub Bhat, A.H. Wani and Naseer Hussain Shah<br />
17. Effect of Some Aqueous Plant Extracts on Egg Hatching of Meloidogyne incognita (Kofoid and White) 54<br />
Chitwood, the Root-Knot Nematode<br />
Harpreet Kaur and Anu Katoch<br />
18. Effect of Bacterial Preparations on Development of Diacrisia obliqua 57<br />
Zeenat Warsi and Ajay Capoor<br />
19. Determination of Antimycobacterial Activity of Polyenzyme Preparation Immunoseb-S using In Vitro Methods 61<br />
Anita Joshi, Shilpa Risbud, Bhavana Pradhan, Smita Deshpande and Renu Bharadwaj<br />
20. Genetic Divergence Analysis in Faba Bean (Vicia faba L.) 64<br />
B.K. Chaubey, C.B. Yadav, V.K. Mishra and K. Kumar<br />
21. Evaluation of Different Substrate for Mass Multiplication of Trichoderma spp. 68<br />
Anuradha Singh, Mohd Shahid, Vipul Kumar and Mukesh Srivastava<br />
22. Compatibility of Entomopathogenic Nematodes (Nematoda: Rhabditida) with Pesticides and their 71<br />
Infectivity against Lepidopteran Insect Pest<br />
Rashid Pervez and S.S. Ali<br />
23. Prevalence of Grain Moulds in Sorghum growing areas of Northern Karnataka 74<br />
Y.S. Mahesh, S. Lingaraju, B. Ravi Kumar, B.Manjunath and M.G. Palakshappa<br />
SHORT COMMUNICATIONS<br />
24. Genetic Diversity in Bread Wheat [Triticum aestivum (L.) Em. Thell] 77<br />
Hasan Tanveer, Arvind Kumar and Hamveer Singh<br />
25. Relation of Temperature and Humidity to Postharvest Rot of Chickpea Caused by Fungi 79<br />
Sarita Joshi and Kamlesh Gupta<br />
Erratum 80<br />
Author Index (Vol. 4, No. 1&2, 2011) 81<br />
Subject Index (Vol. 4, No. 1&2, 2011) 84<br />
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Trends in Biosciences 5 (1): 1-3, <strong>2012</strong><br />
M<strong>IN</strong>I REVIEW<br />
Indian Patent Act 2005 in Perspective of Biotechnological Researches, Health and<br />
Industry<br />
PRAVEEN GUPTA* AND ANIL KUMAR DHIMAN**<br />
*Mewar University, Chittorgarh (Rajasthan), e-mail: praveenshrihari@rediffmail.com<br />
Gurukul Kangri University, Haridwar (U.K.), e-mail: akvishvakarma@rediffmail.com<br />
ABSTRACT<br />
It has been a challenge to understand the patentability matters<br />
in health care area in particular Biopharmaceuticals in India.<br />
Major biopharmaceutical companies have increased their<br />
investment in research and development from several million<br />
US dollars to several billion dollars in past decades. Now, these<br />
days big biopharma companies are focusing on extensive<br />
analysis of patentability and placing of strategies on patent<br />
portfolio management as it showed a pay off strategy in long<br />
run in health care area. Recently, Government’s focus to address<br />
the needs of human health on emerging diseases, formulation<br />
of legislations, availability of off-patented biosimilars, tax-free<br />
incentives made this sector as a top priority sector for investment<br />
for many of global investors. Thus, outcomes from the research<br />
and development departments in way of patents are critical for<br />
the health of biopharmaceuticals. Globally big Indian<br />
Biopharmaceutical companies are also keeping eyes to patent<br />
their biological inventions to increase their longevity and<br />
monopoly in the market. Unfortunately, there are no clear<br />
criteria’s for patentable matters in biotechnological inventions<br />
under Indian patent act 2005.<br />
Key words<br />
Indian patent law, biotechnology, biopharma,<br />
patenting<br />
A patent is a monopoly right granted to a person who<br />
has invented a new and useful article or an improvement of an<br />
existing article or a new process of making an article. It consists<br />
of an exclusive right to manufacture the new article invented<br />
or manufacture an article according to the inventive process<br />
for a limited period (Seth, <strong>2012</strong>). It is an exclusive right granted<br />
by the government to the patentee in respect of a new<br />
invention, which may be product or process. A patent is<br />
granted by the patent office in which you wish to protect<br />
valuable invention. But according to Shivashankar, et al., 2011,<br />
the assignee only enjoys the rights, if the owner can assign or<br />
license the invention to the assignee. The inventor needs to<br />
disclose the invention in written form with description in order<br />
to obtain exclusive monopoly over the invention for a specific<br />
duration.<br />
Sharma and Garg, 2008 state that an invention should<br />
possess novelty, must have followed inventive steps and be<br />
of industrial applicability for patenting. But an invention that<br />
is frivolous; or its primary or intended use or commercial<br />
exploitation that could be contrary to public order or morality<br />
Mr. Praveen Gupta has done M.Sc.<br />
in Biotechnology from Maharaja<br />
Sayagirao University of Baroda<br />
Gujrat and persuing Ph.D in<br />
biotechnology from Mewar<br />
University, Chittorgarh, Rajsthan.<br />
Presently he is managing project in<br />
Rheumatoid Arthritis and Fertility<br />
research at Apcegen Technologies<br />
Private Limited, Indian Institute of<br />
Technology (IIT) Kanpur. He has worked on the projects<br />
for development and manufacturing of 10,000+<br />
recombinant rabbit monoclonal antibodies (r-MAbs) at<br />
2-5L stir tank bioreactor scale; Business area cellular<br />
analysis & biomarkers as Bioprocess Lead, at Life<br />
Technologies Inc (USA), Bangalore,he was awarded for<br />
outstanding work in “Development of Low Cost<br />
Diagnostic Products-r-Mabs Production Centre” at Life<br />
Technologies Inc, USA.<br />
that cause serious prejudice to human, animal, or plant life or<br />
health or to the environment; and mere discovery of a scientific<br />
principle; mere discovery of any new property or new use of<br />
known substance; or mere arrangement or re-arrangement or<br />
duplication of known devices each functioning independently<br />
of one another in known way; along with a method of<br />
agriculture and horticulture; invention relating to atomic<br />
energy; topography of integrated circuits; a presentation of<br />
information; method of playing game; a mathematical or<br />
business method; a computer programme per se; and any<br />
process for the medical, surgical, curative, prophylactic or<br />
other treatment of human beings or any process for a similar<br />
treatment of animal to render them free of disease are not<br />
patentable.<br />
Patenting in India<br />
Historically saying according to Seth, <strong>2012</strong>, the first act<br />
relating to patent rights was passed in 1856 (Act VI of 1856)<br />
which granted certain exclusive privileges to inventors of new<br />
manufacture for a period of 14 years. This act was re-enacted<br />
with modifications under Act No. XVI of 1859. The provisions<br />
of this act were modeled basis of the English Patent Act, 1852
2 Trends in Biosciences 5 (1), <strong>2012</strong><br />
wherein patent monopolies were termed as “exclusive<br />
privileges”. In 1872, the Patterns and Design Protection Act<br />
was passed followed by Invention and Designs Act 1888.<br />
Subsequently, Indian Patents and Designs Act was passed<br />
replacing all previous acts. During the period from 1911 to<br />
1970, various amendments were made to this act. Later on,<br />
based on the interim report submitted by a committee headed<br />
by Dr. Bakshi Tekchand, amendments were made to this act<br />
by the Act 32 of 1950. Subsequently, in 1959 Ayyangar’s report<br />
was submitted containing recommendations for effecting<br />
radical changes to the Patent law prevailing in India.<br />
Eventually, The Patents Act, 1970 was passed and it came<br />
into force on 20 th April 1972.<br />
India is also a signatory to the Paris Convention for the<br />
protection of industrial property, 1883, and the Patent<br />
Cooperation Treaty, 1970. The patents act provides that any<br />
invention that satisfies the criteria of newness, nonobviousness<br />
and usefulness can be the subject matter of a<br />
patent (Zacharias and Farias, 2002).<br />
On March 26, 1999, Patents (Amendment) Act 1999 came<br />
into force from 1 st January 1995. According to this amendment,<br />
it is now possible to make an application for patent claiming<br />
for a substance itself intended for use or capable of being<br />
used as medicine or drug excepting the intermediate for a<br />
preparation of drug. Exclusive marketing rights would be valid<br />
for a period of five years or till the date of grant of patent or<br />
date of rejection of the application for the grant of patent<br />
whichever is earlier.<br />
On 20 May 2003, the Patents (Amendment) Act 2002<br />
came into force which was having following key amendments:<br />
l<br />
l<br />
l<br />
Extended patent life to 20 years from the date of filing<br />
those were come under term of patent under Section 16.<br />
“Process” defined under S. 3(1) in case of plants, were<br />
then patentable while a “process” in case of diagnostic<br />
and therapeutic were considered as non patentable.<br />
After this amendment, a method or process of testing<br />
during the process of manufacture was patentable.<br />
There were two new grounds for revocation:<br />
l<br />
l<br />
The complete specification does not disclose or wrongly<br />
mentions the source or geographical origin of biological<br />
material used for the invention.<br />
The invention so far as claimed in any claim of the<br />
complete specification was anticipated having regard<br />
to the knowledge, oral or otherwise, available within<br />
any local or indigenous community in India or<br />
elsewhere.<br />
It is seen that India has been able to attract the intention<br />
of international investors especially in Biopharmaceutical area<br />
in past few years. There are examples where big Indian pharma<br />
were able to make business deal with International giants.<br />
Hence, the most recent amendment Patent act 2005, in which<br />
Indian legislature has tried to make it compliance fully with<br />
TRIPS – the Trade related Intellectual Property Rights, came<br />
in to force. According this act– one can go for patent of new<br />
form of known substance which can show enhancement of<br />
the known efficacy under section 3 which mean; salts, esters,<br />
ethers, polymorphs, metabolites, pure form, particle size,<br />
isomers, mixtures of isomers, complexes, combinations and<br />
other derivatives of known substance shall be considered to<br />
be the same substance, unless they differ significantly in<br />
properties with regard to efficacy and will not be eligible for<br />
patentable candidates. However, at the same time Indian Patent<br />
Act 2005 has played a vital role to protect innovator & public<br />
interest in health care area.<br />
Patentable Subject Matters in B iote chnological<br />
Researches<br />
The Principle of Indian Patent Act 2005 is that a patent<br />
should be useful for industry, novel, non-obvious and most<br />
importantly properly disclosed according to patent law.<br />
According to this law following subject matters are possible<br />
to patent in biotechnological researches:<br />
l<br />
l<br />
l<br />
l<br />
l<br />
l<br />
l<br />
l<br />
l<br />
l<br />
l<br />
l<br />
l<br />
This act promotes “Process Innovations” rather than a<br />
“Product Innovations”.<br />
Any “life form” such as micro-organisms, animal cells,<br />
is not patentable however, “Processes” based on microorganism<br />
are fully patentable.<br />
“Process” in or for manufacturing of products for<br />
example; process for increasing glycosylation in<br />
Bioreactor.<br />
“Method” for example; specific purification step to purify<br />
specific or all biomolecules.<br />
“Technology” for example; production of recombinant<br />
monoclonal antibodies.<br />
“Compositions” for example; animal cell culture medium<br />
compositions.<br />
“Efficacy Enhancement” for example; formulation of<br />
biotherapeutics.<br />
“Tests” for example; specific diagnostic tests.<br />
“Research tools” for example; screening system of<br />
biomolecules.<br />
“Gene Sequence”, Genetic “optimized sequences”,<br />
Chimeric Promoters Sequences.<br />
“Expression Vectors back bones”, Specific Epitope<br />
Sequence, SNPs.<br />
“Gene Therapy” & “Therapeutic Protein Sensors”’ and<br />
“Efficacious Improvement”, examples – knockouts,<br />
transgenic, anti-sense, target specific expression.
GUPTA and DHIMAN, Indian Patent Act 2005 in Perspective of Biotechnological Researches, Health and Industry 3<br />
Indian Patenting Trends in Biotechnology<br />
Patents granted to Indian organizations during 1990-<br />
2002 in different sectors easily reveals the fact that chemicals<br />
and pharmaceuticals were the major areas in which Indian<br />
organizations had obtained patents. However, it is also<br />
observed that Indian organizations also got patents in<br />
biotechnology. But majority of these were overlapping patents<br />
addressing other sectors - mainly the pharmaceuticals. The<br />
main technological domains of patenting activity in<br />
biotechnology were in micro-organism compositions;<br />
macromolecular compounds; and biocide and plant<br />
reproduction techniques.<br />
There has a steady increase in activities in biotechnology<br />
from the different data available. An analysis of Indian<br />
patenting activity during 2003-04 shows again that in this<br />
period also, pharmaceutical and chemical sectors were the<br />
dominant areas of patenting activity. Pharmaceuticals had 213<br />
patents (46% of total patents) during these two years while<br />
chemical sector had 125 patents (27% of total patents).<br />
Biotechnology sector was also well addressed with 48 patents<br />
granted during this period. Other major sectors contributed<br />
insignificant number of patents (Malviya, et al., 2010).<br />
Impact on Health Sector<br />
Most people in India prefer for the local medications<br />
like ayurveda etc. because of low level income. Besides, the<br />
prices of medicines were raised too high so the common people<br />
can not afford to buy the modern medicines and antibiotics.<br />
Though, ayurveda is getting back the attention from majority<br />
of the people world wide (Dhiman, 2006), but modern medicines<br />
do/can do better in emergency cases and deadly diseases.<br />
However, many of the new medical researchers are now<br />
targeting developed countries with promising profits for<br />
medicines for lifestyle diseases whereas developing countries<br />
are still in need of basic health care except three sectors i.e.,<br />
food processing, pharmaceutical and agrochemicals. Indian<br />
patent act allows product patent only. Only in these three<br />
sectors process patent is allowed, as on today. India has only<br />
process patent regime with relation to pharmaceuticals product<br />
(Shivashankar, et al., 2011).<br />
Biopharmaceutical organizations pour resources into<br />
R&D of various molecules for the benefit of mankind. The<br />
development of a biopharmaceutical goes through a series of<br />
permutations and combinations resulting in uncertainties<br />
which could be many and substantial. Maximizing the certainty<br />
that a research-based manufacturer can obtain enforce, defend,<br />
and make full, legitimate use of intellectual property rights<br />
including patenting is essential to maintain the cycle of<br />
innovation for the benefit of public health. Otherwise, in the<br />
absence of strong intellectual property rights at each stage of<br />
the innovation cycle, promise of biopharmaceutical innovation<br />
could be lost (Andrade, et al., 2007). This needs proper<br />
attentions.<br />
India is slowly moving into global markets and<br />
competing with international quality standards and prices.<br />
Although R&D is an important factor to ensure a competitive<br />
edge in the international arena, the future of the Indian<br />
biopharmaceutical industry hinges on patent protection. There<br />
are areas where company’s executives are working on<br />
development of strategic patent portfolio. Recently, Nomura<br />
Research Institute publish a methodology called “Technology<br />
Heat Map” by which one can analyze the status of patent<br />
application field with strategic step by step approach to select<br />
specific technology fields (Masayuki, et al., 2004).<br />
Moreover, recently forced Indian Patent Act has also<br />
tried to compliance with TRIPS but still it fails to address the<br />
problems of biotechnological researches where their<br />
innovations are not encouraged with clearly defined guidelines<br />
on biotechnological subject matter. Hence, more attention is<br />
needed in this area so that biotechnological innovations could<br />
prove themselves more useful to common people. But as<br />
advocated by Dhiman, 2010, the ethics in biological researches<br />
should not also be violated.<br />
LITERATURE CITED<br />
Andrade, C., Shah, N. and Chandra, S. 2007. The New Patent Regime<br />
Implication for Patients in India. Indian journal of Psychiatry,<br />
49(1): 56-59.<br />
Dhiman, Anil Kumar. 2006. Ayurvedic Drug Plants, Daya Publishing<br />
House, New Delhi.<br />
Dhiman, Anil Kumar. 2010. Developing Trends and Emerging Needs of<br />
Ethics in Biotechnology in Present Environment. In: ‘Advances<br />
in Applied Biotechnology’ (eds Pradeep Parihar and Leena Parihar)<br />
Agrobios India, Jodhpur. pp. 293-302.<br />
Indian Patent History Information from Indian Patent Office Website.<br />
Available at www.ipindia.nic.in/.<br />
Malviya, Rishabha, Bhardwaj, Vineet, Srivastava, Pranati, Bansal,<br />
Mayank and Sharma, Pramod Kumar. 2010. Biotechnological<br />
Innovations Patent: A Review. International Journal of<br />
Pharmaceutical Sciences Review and Research, 3(2): 131-33.<br />
Masayuki, M., Yuji, M. and Keiichi, H. 2004. Strategic Intellectual<br />
Property Portfolio management; Technology Appraisal by Using<br />
the Technology Heat Map. NRI Papers No. 83. Nomura Research<br />
Institute, Japan. Available at www.nri.co.jp/english/opinion/papers/<br />
2004/pdf/np200483.pdf.<br />
Seth, Karnika. <strong>2012</strong>. History and Evolution of Patent Law–International<br />
and National Perspectives. Available at www.sethassociates.com/<br />
wp-content/.../history-and-evolution-of-patents.pdf<br />
Sharma, Sudhir and Garg, Deepa. 2008. Patent Literacy A Techno-legal<br />
Right for Scientific Community. Advanced Biotech, pp. 26-28.<br />
Shivashankar, Murugesh, Mani, Dhandayuthapani and Mandal, Badal<br />
Kumar. 2011. An overview on Intellectual Property Rights in<br />
Pharmaceutical and Biotechnology Industries. Journal of Chemical<br />
and Pharmaceutical Research, 3(2): 753-761.<br />
The Patents (Amendment) Act. 2005. The Gazette of India, 15, 2005.<br />
Available at ipindia.nic.in/ipr/patent/patent_2005.pdf.<br />
Zacharias, Nilesh and Farias, Sandeep. 2002. Patents and the Indian<br />
Pharmaceutical Industry. Business Briefing: Pharmatech, pp. 42-<br />
47.<br />
Recieved on 28-2-<strong>2012</strong> Accepted on 3-4-<strong>2012</strong>
Trends in Biosciences 5 (1): 4-7, <strong>2012</strong><br />
M<strong>IN</strong>I REVIEW<br />
An Emerging Scenario of Long-term Changes in Balanced Dietary Pattern and Food<br />
Requirement in Uttar Pradesh<br />
ANIL KUMAR 1 , B.S. SACHAN 2 , JITENDRA KUMAR 3 AND M.M. RAJPUT 4<br />
1<br />
Seed & Farm, C.S. Azad University of Agriculture And Technology, Kanpur<br />
2<br />
Deptt. of Agril. Economics, C.S. Azad University of Agriculture and Technology, Kanpur<br />
3<br />
Deptt. of Agril. Extension, C.S. Azad University of Agriculture and Technology, Kanpur<br />
4<br />
Deptt. of Agril. Economic B.N.V. College Rath Hamirpur (U.P.)<br />
ABSTRACT<br />
In this paper an attempt has been made to analyse the National<br />
Sample Survey (NSS) data is respect of Uttar Pradesh and to<br />
quantify the Nutritional food Problem in the state. The NSS<br />
repo rt of the National Sample Survey Org anizations,<br />
Government of India. The calorie and Protein content of food<br />
items consumed per consumer unit is the main source of<br />
information for this paper. It gives per capita food consumption<br />
levels for 2009 and 2010, disaggregated by Rural and Urban<br />
areas exhibited a more diversified food basket with significantly<br />
higher levels of per capita consumption of edible oils, milk,<br />
fruits and meat, fish and eggs increasing urbanization and<br />
widening rural-urban disparity has reduced the consumption<br />
per head for cereals and pulses. The consumption of cereals<br />
per head declined while consumption for fruits and vegetables,<br />
milk and eggs increased significantly. This shift has taken<br />
place among both rural and urban consumers. The trend in<br />
rising consumption of high value commodities has generated<br />
higher growth in demand for edible oils, Horticulture and<br />
livestock commodities. A structural shift balancing the food<br />
production and demand. Structural changes in consumption<br />
pattern, growth in the economy as well as sizeable additions to<br />
population have increased to demand for livestock products in<br />
Uttar Pradesh in the year 2010.<br />
Key words<br />
Dietary patterns, food, consumptions, demand,<br />
production, growth<br />
As per the 2010-2011 N.S.S. survey we have 187 million<br />
person below the poverty line, defined mainly in tones of<br />
adequate food. That mean we can say we have 187 million<br />
persons are hungry. At the same time we have 60 million tones<br />
of food grains in government stock this is absurd. More than<br />
that it is obscene. This is indeed a failure of markets, of policies<br />
and politics.<br />
In empirical analysis of the economic aspects of the<br />
problems of deficient nutrition, attention has to be focused<br />
mainly on how nutritional levels are related to levels of income<br />
or assets, total expenditure and expenditure on food in the<br />
case of specific target groups and for different regions in the<br />
country. Analysis of the behaviour of food expenditure in<br />
relation to the total expenditure or Income of household, or a<br />
per capita basis, has been a part of the conventional analysIs<br />
in this area of research. However, an equally important aspect<br />
Dr. Anil Kumar presently serving<br />
as Assistant Director Seed and<br />
Farms at C.S. Azad University of<br />
Agriculture & Technology, Kanpur.<br />
He has done M.Sc. (Ag.) and Ph.D<br />
in Agril. Economics from Bundelkhand<br />
University, Jhansi. He has<br />
published more than ten research<br />
papers in National and International<br />
repute journals.<br />
Dr. B.S. Sachan presently serving<br />
as Assitt. Professor, Department of<br />
Agricultural Economics and<br />
Statistics at C.S. Azad University of<br />
Agriculture and Technology,<br />
Kanpur. He has completed M.Sc.<br />
(Ag.) in Agril. Economics from C.S.<br />
Azad University of Agril. & Tech.<br />
Kanpur and Ph.D. from C.S.J.M.<br />
University, Kanpur. He has<br />
published seven research papers in National and<br />
International journals.<br />
for examination is the behaviour of such variables as energy<br />
value of food, protein in take, calorie-protein balance, and<br />
food composition in relation to the levels of food expenditures.<br />
The data<br />
The National Sample Survey Organisation (NSSO)<br />
collects data on household consumption expenditure in India<br />
by adopting sample survey techniques. Our study uses the<br />
household level data of National Sample Survey (NSS) rounds<br />
38, 43, 50 and 55 pertaining to the periods 1993, 1997-98, 2003-<br />
04 and 2005 for the Uttar Pradesh.<br />
Demand analysis<br />
The Food Characteristics Demand System (FCDS) model<br />
which is based on individual’s demand for energy, variety,<br />
and tastes of foods is used for computing the demand<br />
elasticities for food items for rural and urban households
KUMAR et al., An Emerging Scenario of Long-term Changes in Balanced Dietary Pattern and Food Requirement 5<br />
(Appendix Table 1). These demand elasticities are used in<br />
projecting the consumption per household for various food<br />
items under the assumptions that (i) per capita total<br />
expenditure (income) will grow at the rate of 5%, (ii) pace of<br />
urbanization will be consistent with the recent historical trend,<br />
(iii) the average annual per capita consumption for 2005 (round<br />
55) us taken as the base consumption.<br />
The annual consumption of the commodity is predicted as:<br />
d = d x (1 + y x e) t<br />
Where, d 1<br />
is annual per capita consumption of a<br />
commodity in year t; d 0<br />
is annual per capita consumption of<br />
the commodity in the base year, y is growth in per capita<br />
expenditure/income; and e is the expenditure elasticity of<br />
demand for the commodity. The per capita projected<br />
consumption in the year ‘t’ is multiplied with the projected<br />
population to arrive at human demand is arrived at by adding<br />
the direct (human consumption) and the indirect (seed, feed,<br />
industrial use and wastage etc.) demand for food items.<br />
Dietary pattern changes<br />
Table 1 gives per capita food consumption levels for<br />
1983 and 1999 disaggregated by rural and urban. Urban areas<br />
exhibited a more diversified food basket with significantly<br />
higher levels of per capita consumption of edible oils, milk,<br />
fruits, and meat, fish and eggs. Increasing urbanisation and<br />
widening rural-urban disparity has reduced the consumption<br />
per head for cereals and pulses. Between 2009 and 2010, the<br />
consumption of cereals per head declined, while consumption<br />
for fruits, vegetables, milk, edible oils, and meat, fish and eggs<br />
increased significantly. This shift has taken place among both<br />
rural and urban consumers; the trend in ‘rising consumption<br />
of high value commodities has generated higher growth in<br />
demand for edible oils, horticultural and livestock commodities,<br />
Demand for foodgrains<br />
The consumer demand for rice, wheat, coarse cereals,<br />
and pulses for the year 2001 to 2021 corresponding to 5%<br />
income growth at constant prices is presented in Table 2. In<br />
Table 1.<br />
Change in consumption of food in Uttar Pradesh<br />
(Annual per capita food consumption in kg)<br />
Rural<br />
Urban<br />
Item 2006 2010 %<br />
Change<br />
2006 2010 %<br />
Change<br />
Rice 45.6 53.9 +18.1 28.0 35.0 +25.1<br />
Wheat 124.2 109.3 -12.0 110.3 97.8 -11.3<br />
Coarse cereals 18.3 3.4 -81.6 3.2 0.6 -79.8<br />
Total cereals 188.1 166.6 -11.4 141.5 133.4 -5.7<br />
Pulses 15.1 13.8 -8.6 11.6 12.1 +4.2<br />
Edible oils 3.8 6.2 +63.3 5.4 7.4 +37.3<br />
Vegetables 55.8 81.4 +45.7 54.0 88.3 +63.3<br />
Fruits 2.3 10.2 +345.2 3.6 14.9 +319.8<br />
Milk 43.3 68.2 +57.4 55.5 84.1 +51.5<br />
Meat, fish & 1.7 3.3 +94.8 3.5 4.4 +26.2<br />
eggs<br />
Sugar 15.0 12.4 -17.7 13.6 13.1 -3.6<br />
the year 2006 the human demand for foodgrains is expected to<br />
be 33.6 million tonnes (mt) which might increase to 37.7 mt in<br />
the year 2011 and 47.4 mt in the year 2021. Domestic demand<br />
is arrived by adding the direct demand (human consumption)<br />
and the indirect demand (seed, feed, industrial use and<br />
wastage). In the year 2006, the total domestic demand for rice<br />
is expected to be 9.4 mt for wheat it would be 22.4 mt coarse<br />
cereals 2, 2 mt for pulses 4, 6 mt By 2021, demand for rice is<br />
expected to increase to 13. 7 wheat 30.7 mt, coarse cereals 3<br />
and pulses 7.74 mt. The foodgrains demand in Uttar Pradesh<br />
will increase from a level of 34mt in the 2001 to 38.5 mt in 2006,<br />
43.4 mt in 2011.<br />
48.8 mt in 2016 and 55 mt in the year 2021. If production<br />
of rice, wheat and coarse cereals continues to grow at the<br />
same pace as in 1990’s then the state will be able to meet its<br />
demand of population for these commodities till 2016. But in<br />
pulses production in 2006 is 2.6 mt, which is even short of<br />
demand for population of the state in 2010.<br />
To meet the growing domestic needs, the average yield<br />
at the state level is required to be improved by 66% for rice.<br />
48% and 77% for coarse cereals and 101 % pulses over the<br />
next two decades.<br />
Demand for livestock and fisheries products<br />
Structural changes in consumption patterns, growth in<br />
the economy as well as sizable additions to population have<br />
increased the demand for livestock products (milk. meat and<br />
eggs). Table 3 show the expected domestic demand for<br />
livestock products in Uttar Pradesh.<br />
Thousand tonnes while domestic demand in 2001 is<br />
estimated to be 281 thousand tonnes which would rise to 349<br />
thousand tonnes in 2006. Meat and milk are among the most<br />
important commodities of the consumption basket as income<br />
level increases due to high expenditure elasticities (Appendix<br />
Table 2.<br />
Demand for foodgrains in Uttar Pradesh<br />
Item<br />
Production<br />
2006 2011 2016 2021<br />
Human demand (million tonnes)<br />
Rice 8.75 9.94 11.27 12.76<br />
Wheat 19.72 21.79 23.95 26.37<br />
Coarse cereals 1.11 1.23 1.47 1.61<br />
Total cereals 29.59 32.95 36.56 40.62<br />
Pulses 4.01 4.77 5.70 6.77<br />
Food Grains 33.60 37.72 42.26 47.39<br />
Indirect demand (million tonnes)<br />
Rice 0.59 0.68 0.78 0.89<br />
Wheat 2.64 2.97 3.33 3.74<br />
Coarse cereals 1.12 1.35 1.64 1.98<br />
Pulses 0.56 0.67 0.81 0.97<br />
Domestic demand for (million tonnes)<br />
Rice 9.35 10.62 12.05 13.66<br />
Wheat 22.37 24.76 27.28 30.12<br />
Coarse cereals 2.24 2.58 2.99 3.46<br />
Total cerea 33.95 37.95 42.32 47.23<br />
Pulses 4.57 5.44 6.51 7.74<br />
Food Grains 38.52 43.39 48.83 54.97
6 Trends in Biosciences 5 (1), <strong>2012</strong><br />
Table 3.<br />
Demand for livestock and fisheries in Uttar<br />
Pradesh<br />
Item<br />
Production<br />
2006 2011 2016 2021<br />
Milk (Million Tonnes) 16.20 19.57 23.82 28.76<br />
Meat (Thousand Tonnes) 349 433 544 676<br />
Fish (Thousand Tonnes) 63 78 98 122<br />
Eggs (Million Number) 669 831 1043 1296<br />
Feed (Million Tonnes 3.03 3.69 4.52 5.49<br />
Note: Weight of egg is taken 60 gm.<br />
Table 1). Thus, state should immediately lay emphasis on<br />
increase in production of these two commodities In 2006<br />
demand for fish is estimated to be 63 thousand tonnes and for<br />
eggs 669 million numbers. In the year 2021, demand will grow<br />
to about 122 thousand tonnes for fish, and 1296 millions eggs.<br />
The demand of livestock in next two decades will grow by<br />
more than two folds. In fish production, Uttar Pradesh is a<br />
surplus state but for eggs, efforts to increase production<br />
should continue in order to meet the challenges of future<br />
increase in demand. The production of livestock and fisheries<br />
products must be improved by 115-240% by 2021 over the<br />
year 2001. Based on the demand projection for livestock<br />
products, the requirement for feed is projected. The feed<br />
demand is estimated about 2.Smt in 2001, which will grow to<br />
about 3. 7mt in 2011 and 5. in the year 2021.<br />
Demand for edible oils<br />
The consumption of edible oils has increased from 3.8<br />
kg/capita/year in 1983 to 6.2 kg/capita/year in 1999 in rural<br />
areas and from 5.4 kg/capita/year in 1983 to 7.4 kg/capita/year<br />
in the urban areas of Uttar Pradesh (Table 1). The shift is quite<br />
significant even in rural areas and reflects high growth in<br />
demand for edible oils and oilseeds. Demand for edible oils of<br />
0.89 mt in 2001 is projected to grow to about 1.72mt in 2021<br />
(Table 4) To match the demand of edible oils. Uttar Pradesh<br />
farmers may have to increase production of oil seeds from<br />
2.8mt in 2001 to a level of 5.34 mt by the year 2021. In the<br />
current situation the production of oilseeds has been 1 .3Omt<br />
in 1999, whereas the demand of oil seeds in 2001 is more than<br />
double of the production. Special emphasis need to be laid on<br />
oil seeds production in order to make Uttar Pradesh meet its<br />
own demand for edible oil.<br />
Demand for horticultural products<br />
Table 4.<br />
Having achieved significant increase in production of<br />
Year<br />
Demand for edible oils and seeds in Uttar Pradesh<br />
Edible oils<br />
(million tonnes)<br />
Required edible<br />
oilseeds<br />
Production<br />
(Million Tonnes)<br />
Production<br />
2006 1.04 3.25<br />
2011 1.23 3.83<br />
2016 1.46 4.53<br />
2021 1.72 5.34<br />
cereals, the state has started paying much greater attention to<br />
the horticultural crops. This has increased the availability of<br />
horticultural products and its consumption in both rural and<br />
urban households. The annual per capita ëonsumption of<br />
vegetables has increased from a level of 56 kg in 1983 to 81 kg<br />
in 1999 in rural and from 54kg in 1983 to 88kg in 1999 in urban<br />
area. More than three fold increases in consumption of fruits<br />
were observed from a level of 2.3 kg in 1983 to 10.2 kg in 1999<br />
among the rural consumer and from a level of 3.6 kg in 1983 to<br />
14.9 kg in 1999 in urban (Table 1). The domestic demand for<br />
vegetables and fruits are presented in Tables 5 and 6<br />
respectively. The human demand for vegetables and fruits,<br />
which was 12.8mt for vegetables and 1.8mt for fruits in the<br />
year 2001, is projected to grow to about 25.5 mt for vegetables<br />
and 3.5mt for fruits in the year 2021. The production of<br />
vegetables and fruits in 1999 is of the time of 13 .8mt and 3.2<br />
respectively. Although for fruits its performance is good, still<br />
constant efforts are needed to maintain this production level<br />
and also to increase the productivity. To meet human demand,<br />
the state needs to plan the production target at about 28.4mt<br />
for vegetables and 5.5mt for fruits on or before 2021. This<br />
means, the production of vegetables and fruits must be<br />
enhanced about 100% by 2021 over the year 2001.<br />
Demand for sugarcane and its products<br />
The domestic demand for sugar of 2.4mt in 2006 is<br />
projected to grow to about 3.7mt in the year 2021. The<br />
sugarcane production target needs to be fixed at 39mt in the<br />
year 2021 from a level of 21.7mt in the year 2001 (Table 7). In<br />
sugarcane production Uttar Pradesh is having huge surpluses<br />
and after meeting its own demand the surplus can be used for<br />
domestic or international exports.<br />
Growth in food demand<br />
The annual growth in domestic demand for various food<br />
items during the period 2001-1 1 and 201 1-21 are computed<br />
and presented in Table 8. The results revealed that the demand<br />
for cereals is likely to increase with an annual growth of 2%<br />
for wheat, 2 .5% for rice, and 2.8% for coarse cereals Looking<br />
at the production and demand scenarios for cereals. The<br />
demand for non-cereal commodities will increase much faster<br />
than the growth in population. The demand for horticultural,<br />
livestock products will increase with annual growth 3.5% to<br />
4.5 %. To meet the growing demand for edible oils and sugar,<br />
the production of oil seeds and sugarcane must grow at more<br />
than 3% annually.<br />
Table 5. Demand for vegetables in Uttar Pradesh<br />
Year<br />
Human demand<br />
(Million Tonnes)<br />
Required edible<br />
oilseeds production<br />
(Million Tonnes)<br />
Production<br />
2006 15.15 16.83<br />
2011 18.00 20.00<br />
2016 21.49 23.88<br />
2021 25.51 28.35
KUMAR et al., An Emerging Scenario of Long-term Changes in Balanced Dietary Pattern and Food Requirement 7<br />
Table 6.<br />
Year<br />
Demand for fruits in Uttar Pradesh<br />
Human demand<br />
(Million Tonnes)<br />
Required edible<br />
oilseeds production<br />
(Million Tonnes)<br />
Production<br />
2006 2.16 3.09<br />
2011 2.61 3.72<br />
2016 3.17 4.52<br />
2021 3.81 5.45<br />
Table 7. Demand for fruits in Uttar Pradesh<br />
Year<br />
Sugar<br />
(Million Tonnes)<br />
Required edible<br />
oilseeds production<br />
(Million Tonnes)<br />
Production<br />
2006 2.38 25.12<br />
2011 2.76 29.11<br />
2016 3.21 33.79<br />
2021 3.71 39.10<br />
Production, Demand and Trade<br />
Table 9% presents a consolidated picture of production<br />
of commodities, domestic demand for commodities and net<br />
surplus or deficit with Uttar Pradesh for trade. The state is<br />
surplus in the production of rice (4.68mt), wheat (5.76mt),<br />
coarse cereals (1.8Omt), sugar (8.44mt), fish (142 thousand<br />
tones) and eggs (2l3miflion no.). In these commodities present<br />
Level of efforts and growth in production, will ensure sufficient<br />
surplus even for next 20 years. In fruits and milk production,<br />
the state is marginally surplus of the tune of 0.65mt and 0.2Omt<br />
respectively, while, net deficit is seen in the production of<br />
pulses (-1.24mt), oilseeds (-1.46mt), vegetables (- 0.3 7mt) and<br />
meat (119 thousand tonnes).<br />
A structural shift in dietary pattern towards livestock,<br />
fisheries, and horticultural products is already underway and<br />
is being predicted to intensify further. Decline in per capita<br />
consumption of cereals and rapid increase in consumption of<br />
edible oils, fruits, vegetables, milk, meat, eggs and fish is<br />
observed. Food demand challenges ahead are formidable<br />
considering the non-availability of favourable environment,<br />
which prove past growth, and shrinking resource base. The<br />
state enjoys a surplus status in rice, wheat, sugarcane, fruits,<br />
fish and eggs. It is marginally surplus in milk production, but<br />
falls short in suppiy of vegetables, pulses, oil seeds and meat.<br />
Table 8.<br />
Annual growth in demand for agricultural<br />
commodities (in per cent)<br />
Commodities 2001-11 2011-21<br />
Rice 2.56 2.53<br />
Wheat 2.03 1.96<br />
Coarse cereal 2.84 2.94<br />
Pulses 3.53 3.58<br />
Foodgrains 2.38 2.37<br />
Sugarcane 3.32 3.35<br />
Vegetable 2.97 2.97<br />
Fruits 3.49 3.53<br />
Milk 3.80 3.86<br />
Meat, Fish and Eggs 3.84 3.91<br />
Feed 4.41 4.52<br />
Rice 3.95 4.04<br />
Table 9.<br />
Production, demand and net trade in agricultural<br />
items in Uttar Pradesh (in million tonnes)<br />
Commodities Production Demand Net trade<br />
Rice 12.91 8.23 +4.68<br />
Wheat 25.98 20.22 +5.76<br />
Coarse cereal 3.75 1.95 +1.80<br />
Cereal 42.64 30.40 +12.24<br />
Pulses 2.60 3.84 -1.24<br />
Foodgrains 45.24 34.24 +11.00<br />
Oilseed 1.30 2.76 -1.46<br />
Sugar 10.50 2.06 +8.44<br />
Vegetable 13.8 14.17 -0.37<br />
Fruits 3.21 2.56 +0.65<br />
Milk 13.60 13.40 +0.20<br />
Meat (th t) 162 281 -119<br />
Fish (th t) 193 51 +142<br />
Eggs (th t) 752 539 +213<br />
Appendix Table 1. Expenditure elasticities of demand for Uttar<br />
Pradesh<br />
Item Rural Urban All<br />
Rice 0.100 0.144 0.123<br />
Wheat -0.084 -0.088 -0.079<br />
Coarse cereal -0.211 -0.265 0.103<br />
Pulses 0.447 0.469 0.471<br />
Milk 0.612 0.649 0.587<br />
Edible oil 0.396 0.422 0.402<br />
Vegetables 0.439 0.492 0.462<br />
Fruits 0.627 0.655 0.572<br />
Meat, Fish and Eggs 0.805 0.752 0.793<br />
Sugar 0.294 0.289 0.276<br />
Source : Estimated from 55 th NSS round household data Characteristic<br />
Demand System (FCDS). Kumar, 1998.<br />
Appendix Table 2. Expenditure elasticities of demand for Uttar<br />
Pradesh<br />
Year Uttar Pradesh Uttrakhand (new) Uttar Pradesh (old)<br />
1991 132.06 7.05 139.11<br />
2001 165.80 8.71 174.51<br />
2006 185.04 9.56 194.60<br />
2011 206.58 10.52 217.10<br />
2016 229.89 11.45 241.34<br />
2021 255.98 12.49 268.46<br />
Greater emphasis is needed on diversification towards pulses,<br />
oilseeds, milk and vegetables to meet the growing demand for<br />
these commodities. Emphasis has to be laid on diversification,<br />
dissemination of productivity increasing technology, and<br />
adequate development of general and marketing infrastructure<br />
which will help in balancing the food production and demand.<br />
LITERATURE CITED<br />
FAQ. 2003. The State of Food Insecurity in the World 2003, Rome,<br />
36pp. FSA, (2002), “Creative strategy and Development”, Food<br />
Standards Agency, September, London.<br />
HPA. 2001. “Eating for Health: A survey of eating habits and young<br />
people in Northern Ireland”, Health Promotion Agency, March.<br />
Shetty, Prakash S. 2002, “Nutrition transition in India”, Public Health<br />
Nutrition, 5(1 A): 175-182.<br />
World Food Programme. 2002. Food Insecurity Atlas of Urban India,<br />
M.S. Swaminathan Research Foundation and World Food<br />
Programme, Chennai.<br />
Recieved on 2.1.<strong>2012</strong> Accepted on 1.4.<strong>2012</strong>
Trends in Biosciences 5 (1): 8-10, <strong>2012</strong><br />
Generation of Expressed Sequence Tags (ESTs) from Banana Fruit Tissue<br />
MADHUSUDHAN, R 1 , VIVEK B.C. 2 , MANJUNATH, B 3 AND LALITHA ANAND<br />
1<br />
Department of Biotechnology, University of Agricultural Sciences, G.K.V.K., Bangalore<br />
2<br />
Department of Genetics and Plant Breeding, University of Agricultural Sciences, G.K.V.K., Bangalore<br />
3<br />
Department of Plant Pathology, University of Agricultural Sciences, G.K.V.K., Bangalore<br />
email: rsmadhu@gmail.com<br />
ABSTRACT<br />
In the present investigation, a range of ESTs associated with<br />
developmental events during fruit ripening in Musa acuminata<br />
were generated. Out of the 26 recombinants obtained from<br />
normalized cDNA library, 17 inserts were sequenced. Sequence<br />
data were compared against the non-redundant combined<br />
databases using the program BLAST and functions were<br />
assigned to the ETS sequences generated. The generated<br />
sequences pertained to both housekeeping genes as well as<br />
genes involved in ripening metabolic pathways. Three<br />
sequences coding for ACC synthase, pectate lyase and<br />
polygalactouronase which are all known to be directly involved<br />
in fruit ripening were obtained. Scores of the ESTs generated<br />
were in the range of 42 to 519. From the analysis, it was found<br />
that ten ESTs out of 17 had significant homology. These ten<br />
ESTs can be used for further studies as a tool to isolate a<br />
particular gene from genomic DNA of any organism. ESTs<br />
generated in the present investigation will also help in<br />
identifying genes involved in ripening. The genes thus<br />
identified can be utilized in genetic engineering studies to<br />
enhance shelf life of fruits.<br />
Key words<br />
Banana, expressed sequence tag, cDNA library,<br />
sequencing and plasmid<br />
Bananas and plantains are important sources of<br />
carbohydrate for the millions of people of developing world.<br />
It is the second most important fruit crop next to mango and<br />
regarded as poor man’s apple or fruit of heaven.<br />
Ripening represents an important phase of the banana<br />
fruit development since it is a climacteric fruit. Delaying the<br />
ripening processes in banana fruit is of interest to producers<br />
because it allows more time for shipment of fruit from the<br />
farmer’s fields to the grocers shelf and increases the shelf life<br />
of the fruit for consumers. Molecular approaches now provide<br />
the key not only for identifying ripening related genes but<br />
also for their manipulation for banana improvement. With the<br />
advent of recombinant DNA technology, it is now possible to<br />
genetically modify banana and develop transgenic banana<br />
with extended shelf-life.<br />
Generation of Expressed Sequence Tags (ESTs) is a<br />
powerful tool that has emerged from genomics research. EST<br />
collections can reveal gene expression pattern, gene regulation<br />
and sequence diversity, now that enriched libraries and high<br />
throughput sequencing are available and are efficient means<br />
of gene discovery in focused metabolic situations. It is<br />
important to use this approach to unravel the genes expressed<br />
during ripening as post harvest losses is one of the important<br />
aspects in case of banana fruit and this information can be<br />
used to design strategies for genetic manipulation for<br />
enhanced shelf life.<br />
MATERIALS AND METHODS<br />
The Mysore AAB (Natibale) - fully matured fruit bunch<br />
was bought from farmer’s field, Hessaraghatta and was used<br />
for RNA isolation. The banana hands were separated from the<br />
bunch and cleaned. The hands were then treated with Ethrel<br />
(1.4 ml in 1lt of water) to initiate the ripening process. Samples<br />
were drawn from four banana fruits from the treated day itself<br />
which served as ‘0` day sample. Sampling was done by<br />
removing the outer pericarp of the finger and retaining only<br />
the fruit pulp. The pulp was cut into small pieces and packed<br />
in a polythene bag and sealed. Then the packed polythene<br />
bags containing the sample were dipped in liquid nitrogen for<br />
10 mins to cease the physiological activity and stored at -<br />
80 0 C.<br />
RNA was extracted from the samples following the<br />
method of Lopez-Gomez and Gomez-Lin, 1992. Banana pulp<br />
was ground in a tissue homogenizer in presence of lysis buffer<br />
containing 0.2% SDS, 50 mM Disodium EDTA, 150 mM Tris<br />
borate (pH 7.5). To this homogenate 0.25 volume of absolute<br />
alcohol, 0.11 volume of 5 M Potassium acetate, 1% b-<br />
mercaptoethanol were added and vertexed until the tissue<br />
was fully homogenized. Equal volume of (49:1) chloroform:<br />
isoamyl alcohol was added and centrifuged at 14,000 rpm for<br />
20 min. To the supernatant, equal volume of (1:1) phenol:<br />
chloroform was added and centrifuged at 14,000 rpm for 20<br />
min. equal volume of (49:1) chloroform: isoamyl alcohol was<br />
added to supernatant and centrifuged at 14,000 rpm for 20<br />
min. Aqueous phase was carefully recovered and the RNA<br />
was precipitated with 10 M LiCl (3 M final concentration) and<br />
kept at -20 0 C overnight or at -80 0 C for 1 hr. RNA was pelleted<br />
by centrifugation at 14,000 rpm for 45 min at 4 0 C and washed<br />
once with 3 ml of 3 M LiCl. RNA was resuspended in 1 ml<br />
sterile DEPC water; 5 M Potassium acetate (0.3 M final<br />
concentration) and 2.5 ml of absolute alcohol was added and<br />
kept at -20 0 C overnight or at -80 0 C for 1 hr. Centrifuged at<br />
14,000 rpm for 40 min and then washed once with 2 ml of 75%<br />
alcohol. The pellet was dried at 37 0 C and resuspended in 200
MADHUSUDHAN et al., Generation of Expressed Sequence Tags (ESTs) from Banana Fruit Tissue 9<br />
ml of sterile DEPC water. Isolated RNA was checked for integrity<br />
after each isolation by denaturing gel electrophoresis<br />
containing formaldehyde.<br />
mRNA was isolated from the total RNA using the<br />
Genelute mRNA miniprep kit in which oligo (dT) beads were<br />
used to bind to poly (A) tail of mRNA. mRNA bound to oligo<br />
(dT) beads was eluted using elution buffer and then utilized<br />
for cDNA library preparation.<br />
Double stranded cDNA was synthesized from mRNA<br />
following the protocol proposed by Frohman, et al., 1998.<br />
First strand cDNA was synthesized by using mRNA as<br />
template in presence of Reverse Transcriptase and terminal<br />
transferase. Second strand was synthesized using First strand<br />
cDNA as template in presence of Taq polymerase and dNTPs<br />
in a PCR reaction. The success of cDNA synthesis was<br />
confirmed by using synthesized double stranded cDNA as<br />
template in a PCR reaction along with specific primers for<br />
ACC oxidase, b-galactosidase and expansin genes.<br />
The ds cDNA synthesized was cloned into vector<br />
PTZ57R. This was then used for transformation into E. coli<br />
using MBI FERMENTAS cloning kit.<br />
The recombinant colonies were picked from cDNA<br />
library plate and were inoculated into LB broth. Overnight<br />
grown culture was used for isolation of plasmids. Plasmids<br />
were isolated from the white colonies and run on the agarose<br />
gel along with control plasmids with insert (952 bp) insert and<br />
without insert. Plasmid samples, which were on par with the<br />
control having insert, were recombinants and those plasmid<br />
samples, which were on par with control plasmid having no<br />
insert, were non-recombinants. The plasmid samples<br />
confirmed to be recombinant were given for single pass<br />
sequencing to the Department of Biochemistry, IISc, Bangalore.<br />
Sequence data were compared against the non-redundant<br />
combined databases using the program BLAST (n) provided<br />
by the NCBI site.<br />
RESULTS AND DISCUSSION<br />
Yield of RNA obtained was found to be in the range of<br />
3.5 – 7.7ìg /g of fruit tissue. Quality of RNA was found to be<br />
good with an A 260<br />
/A 280<br />
ratio of around 1.7 – 2.0. Based on OD<br />
values obtained, it was concluded that RNA obtained was of<br />
fair quality however slightly contaminated with protein<br />
fraction. Similar approach for isolation of RNA from banana<br />
has been reported by Nascimento et al., 1997 where the isolated<br />
RNA was used in studying the expression of banana sucrose<br />
phosphate gene during development and ripening.<br />
The success of cDNA synthesis was confirmed by using<br />
this as a template in a PCR reaction along with specific primers<br />
for ACC oxidase, b-galactosidase and expansin genes. The<br />
PCR amplification products obtained were electrophoresed.<br />
We obtained b-galactosidase band at 850 to 900 bp range,<br />
ACC oxidase at 900 to 950 bp range and expansin in the range<br />
of 800 to 850 bp. Martin, et al., 1998 have reported the use of<br />
gene specific primers for identification and verification of<br />
differential display cDNAs. To minimize false positives, the<br />
strategy avoids the use of impure Northern blot probes<br />
obtained from PCR-amplified DD bands. To increase<br />
throughput, the cloning of DD bands is replaced by a genespecific<br />
primer approach and hybridization arrays are used in<br />
place of Northern blots. Construction of representative cDNA<br />
library is an important step in generation of ESTs. The source<br />
of the mRNA for the cDNA library in ESTs generation is critical<br />
and varies depending on the goal of the study. Since the<br />
objective of the present investigation was to generate ESTs<br />
for ripening genes, mRNAs from banana fruit pulp during<br />
ripening stage were selected as the source material for cDNA<br />
library preparation.<br />
The cDNA library obtained by following the method<br />
supplied in the library construction kit of MBI FERMENTAS<br />
had both blue and white colonies. Screening procedure was<br />
very efficient to identify the recombinant clones. Blue colonies<br />
represented non-recombinant clones and white colonies<br />
represented recombinant clones. This was possible since<br />
disruption in b-galactosidase gene allows blue white selection<br />
from library plate when plated with X-gal and IPTG.<br />
Plasmids were isolated from the white clones and run on<br />
the agarose gel along with control plasmids with insert (952bp<br />
insert) and without insert. In Fig. 1, lane 14 and 15 are control<br />
plasmid with insert and control plasmid without insert,<br />
respectively. Remaining lanes contain plasmid samples<br />
isolated from white clones. From the gel profile we can deduce<br />
that all the plasmid samples in the gel are recombinants except<br />
the plasmid samples in lanes 21 and 23.<br />
Out of the 26 recombinants obtained, we sequenced 17<br />
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28<br />
Fig. 1.<br />
Gel profile showing plasmid samples run along with<br />
control plasmid with 952 bp insert and control plasmid<br />
without insert (Lanes 14 and 15 respectively) Lanes 1<br />
to 28 (except 14 and 15) –indicates plasmids isolated<br />
from white clones Lanes 1, 2, 3, 4, 5, 6, 7, 8, 9, 10,<br />
11, 12, 13, 16, 17, 18, 19, 20, 22, 24, 25, 26, 27, and<br />
28 are reco mbinants Lanes 21 and 23 are no n-<br />
recombinants
10 Trends in Biosciences 5 (1), <strong>2012</strong><br />
inserts. On comparison with known sequences in the database<br />
using BLAST (n), we found that these sequences<br />
corresponded to 17 known plant sequences. We have therefore<br />
been able to generate 17 ESTs from banana fruit.<br />
ESTs have been generated in many plant species at<br />
different developmental stages or from different plant parts.<br />
5548 ESTs from Stevia rebaudiana (Brandle, et al., 2002), 1316<br />
ESTs from castor (Lange, et al., 2000). 800 from Medicago<br />
trunculata (Covitz, et al., 1998), 110 from Lotus japanicus<br />
(Szczyglowski, et al., 1997), 5692 from poplar (Sterky, et al.,<br />
1998), 130 from Zea mays (Keith, et al., 1993) and more than<br />
176915 ESTs from Arabidposis thaliana.<br />
Although there are no published reports of generation<br />
of ESTs in banana 27 ESTs have been reported in the dbEST<br />
of NCBI (Gupta, et al., personal communication). The sizes of<br />
the ESTs generated were in the range of 104-291bp. Putative<br />
functions have been assigned for only seven of these. This is<br />
probably because of the small size of the ESTs generated.<br />
The sizes of the ESTs generated are in the range of 100-<br />
627bp. These studies, have been able to assign putative<br />
functions to all the sequences generated. It can be seen that<br />
these sequences encode for both house keeping genes as<br />
well as genes involved in metabolic pathways. Three<br />
sequences coding for ACC synthase, pectate lyase and<br />
polygalacturonase were obtained which known to be directly<br />
involved in fruit ripening.<br />
Since in this study a normalized cDNA library used which<br />
have not been able to identify gene sequences that are<br />
predominantly expressed during ripening. Normalized cDNA<br />
libraries are used to reduce the frequency of highly expressed<br />
genes and to increase the rate of gene discovery (Soares, et<br />
al., 1994). As a result we have been able to identify some<br />
development specific genes and transcription factor like tif3<br />
gene and MADs-box protein gene.<br />
This has great significance since it is now becoming<br />
increasingly evident that manipulation of genes coding for<br />
transcription factor offers better regulation of events like fruit<br />
ripening which are orchestrated by several genes (Giovannoni,<br />
2001).<br />
The score is the sum of the integer values of the aligned<br />
aminoacids from the region of the sequences with highest<br />
similarity. Each of the edited sequences was deposited in<br />
dbEST and compared to the non-redundant nucleotide<br />
sequences database by BLAST (n) searches. Deduced<br />
aminoacid sequence homology between an EST and a known<br />
sequence was deemed significant if the BLAST score was<br />
greater than 80.<br />
Empirical studies have generally indicated that BLAST<br />
(x), BLAST (n) and TBLAST (n) scores of approximately 80 or<br />
higher are worth for further investigation (Pearson, 1991).<br />
In the present investigation, scores obtained pertaining<br />
to ESTs generated is in the range of 42 to 519. Based on the<br />
score analysis ten of the ESTs out of 17 had significant<br />
homology. These ten ESTs can be used for further studies as<br />
a tool to isolate a particular gene from genomic DNA of any<br />
organism.<br />
LITERATURE CITED<br />
Brandle, J.E., Richman, A., Swanson, A.K. and Chapman, B.P. 2002.<br />
Leaf ESTs from Stevia rebaudiana: a resource for gene discovery<br />
in diterpene synthesis Plant Molecular Biology, 50 : 613-622.<br />
Covitz, P.A., Smith, L.S. and Long, S.R.1998. Expressed Sequence Tags<br />
from a root hair enriched Medicago truncatula cDNA library. Plant<br />
Physiology, 117 : 1325-1332.<br />
Giovannoni, J.J. 2001. Molecular biology of fruit maturation and<br />
ripening. Annual Review of Plant Physiology and Plant Molecular<br />
Biology, 52:725-749.<br />
Keith, C.S., Hoang, D.O., Barret, B.M., Feigelman, B., Nelson, M.C.,<br />
Thai, H. and Baysdorfer, C. 1993. Partial sequence analysis of 130<br />
randomly selected maize cDNA clones. Plant physiology, 101: 329-<br />
332.<br />
Lange, M.B., Wildug, M.R., Stauber, E.J., Sanchez, C., Pouchnik, D.<br />
and Croteau, R., 2000. Probing essential oil biosynthesis and<br />
secretion by functional evaluation of expressed sequence tags from<br />
mint glandular trichomes. Proceedings of National Academy of<br />
Science. USA, 97(6) : 2934-2939.<br />
Lopez-Gomez, R. and Gomez-Lim, M.A.1992. A method for extracting<br />
intact RNA from fruits rich in polysaccharides using ripe mango<br />
mesocarp. Hortscience, 27(5): 440-442.<br />
Martin, K.J., Kwan, C.P., O’hare, M.J., Pardee, A.B. and Sage, R.1998.<br />
Identification and verification of differential display cDNAs using<br />
gene specific primers and hybridization arrays. Biotechniques, 24(6):<br />
1018-1026.<br />
Nascimento, J.R.O., Cordenunsi, B.R., Lajolo, F.M. and Alcocer,<br />
M.J.C.1997. Banana sucrose-phosphate synthase gene expression<br />
during fruit ripening. Planta, 203: 283-288.<br />
Pearson, W.R. 1991. Identifying distantly related protein sequences.<br />
Current Opinion in Structural Biology, 1: 321-326.<br />
Soares, M.B., Bonaldo, M.F., Jelene, P., SU, L., Lawton, L. and<br />
Efstratiadis, A.1994. Construction and characterization of a<br />
normalized cDNA library. Proceedings of National Academy of<br />
Science, USA, 91: 9228-9232.<br />
Szczyglowski, K., Hamburger, D., Dapranov, P. and Bruijin, F. 1997.<br />
Construction of a Lotus japonicus late nodulin expressed sequence<br />
tag library and identification of novel nodule-specific genes. Plant<br />
Physiology, 114 :1335-1346.<br />
Recieved on 30-11-2011 Accepted on 25-01-<strong>2012</strong>
Trends in Biosciences 5 (1): 11-13, <strong>2012</strong><br />
Genetic Variability and Character Association in Turmeric (Curcuma longa L.)<br />
ABHISHEK PRATAP S<strong>IN</strong>GH * , V. P. PANDEY , S. M. A. RAHMAN * AND RASHID PERVEZ ***<br />
Department of Vegetable Science, N. D. University of Agriculture & Technology, Kumarganj Faizabad 224229<br />
*<br />
Krishi Vigyan Kendra, Gwaldam (Chamoli)-246 441, Uttarakhand<br />
***<br />
Indian Institute of Spices Research Calicut 673 012, Kerala<br />
email : abhishek.veg@gmail.com<br />
ABSTRACT<br />
Studies on the genetic variability, heritability, genotypic<br />
coefficient of variation, phenotypic coefficient of variation,<br />
genetic advance of the associated character of the turmeric at<br />
different site and estimate the curcumin and oleoresin content,<br />
are evaluated in two seasons 2007-08 and 2008-09. Significant<br />
differences were observed for sixteen characters among<br />
seventeen genotypes in turmeric (curcuma longa L.). The<br />
phenotypic coefficient variation (PCV) was higher than the<br />
genotypic coefficient of variation (GCV) estimates for all the<br />
traits studied. The high heritability accompanied with a high<br />
genetic advance in per cent of mean was recorded for weight of<br />
mother rhizome and weight of fresh rhizome per plant while<br />
high heritability along with moderate genetic advance was<br />
recorded for number of tillers per clump, plant girth, length<br />
and width of mother rhizome, number and weight of fresh<br />
rhizome per plant, number and weight of secondary rhizome<br />
per plant, rhizome girth, dry matter (%). Rhizome yield had<br />
positive and significant correlation with plant height, number<br />
of leaves on main shoot, plant girth, length and width of mother<br />
rhizome, number and weight of primary rhizome per plant,<br />
number of secondary rhizome per plant and weight of fresh<br />
rhizome per plant at phenotypic and genotypic levels, while<br />
only one character viz number of tillers per clump showed<br />
positively and significant association at genotypic level only.<br />
The estimates of genetic parameters revealed scope for further<br />
improvement of rhizome yield by selection.<br />
Key words<br />
Genetic variability, heritability, turmeric, Curcuma<br />
longa<br />
The genus Curcuma longa L. belongs to the family<br />
Zingiberaceae, among the 40 species of curcuma, only two<br />
species viz., Curcuma longa L. and C. aromatica Salisb. are<br />
commercially produced. India is the largest producer, exporter<br />
and consumer of turmeric in the world and accounts for more<br />
than 46 per cent of the world trade.<br />
Genetic variability is the backbone of any crop<br />
improvement programme and effectiveness of selection<br />
depends upon its nature and magnitude in the genetic material<br />
at the disposal of plant breeder. Success in selection depends<br />
primarily upon the magnitude of heritable portion of variability.<br />
Heritability estimates provide information on transmission of<br />
characters from parent to the progeny. Such estimate facilitates<br />
evaluation of hereditary and environmental effect in<br />
phenotypic variation and thus aid in selection. Heritability<br />
estimates are used to predict expected advance under<br />
selection so that breeders are able to anticipate improvement<br />
from different selection intensity. Johnson, et al., 1955 have<br />
suggested that heritability estimates in association with<br />
genetic advance are much useful for selection than heritability<br />
alone.<br />
In view of this, the present study on the genetic<br />
Table 1.<br />
Analysis of variance for different characters of turmeric at different sites<br />
S. Character<br />
2007-08 2008-09<br />
N.<br />
Site 1 Site 2 Site 3 Site 4<br />
R T E R T E R T E R T E<br />
1. Plant height (cm) 29.3 500.7** 26.4 20.6 426.6** 36.4 28.5 453.6-7** 25.6 - 595.9** 17.7<br />
2. Number of tillers per clump 0.2 2.7** 0.2 0.1 0.9** 0.08 0.1 0.9** 0.1 0.3 1.7** 0.1<br />
3. Number of leaves on main shoot 0.2 2.2** 0.1 0.07 2.0** 0.2 0.1 0.9** 0.1 0.1 0.3** 0.02<br />
4. Plant girth (cm) 0.1 3.0** 0.1 - 4.0** 0.2 0.7 7.4** 0.3 0.03 5.7** 0.3<br />
5. Length of mother rhizome (cm) 0.03 5.1** 0.1 0.3 7.3** 0.1 0.09 6.9** 0.3 0.04 5.0** 0.04<br />
6. Width of mother rhizome (cm) - 3.7** 0.2 0.02 2.1** 0.05 0.2 3.4** 0.1 0.3 1.3** 0.05<br />
7. Weight of mother rhizome (g) 4.7 9174.7** 10.4 26.9 8044.5** 14.2 13.5 900.8** 5.6 25.6 8517.5** 9.2<br />
8. Number of primary rhizomes/ plant 0.2 1.8** 0.08 0.07 1.2** 0.07 0.02 1.6** 0.1 0.05 1.5** 0.07<br />
9. Weight of primary rhizomes/ plant (g) 148.8 4350.8** 82.3 0.6 2556.1** 2.1 23.9 2465.3** 11.7 3.2 2647.3** 10.8<br />
10. Number of secondary rhizomes/ plant 0.7 20.0** 0.6 0.3 1.8** 0.1 0.1 3.0** 0.2 - 6.6** 0.2<br />
11. Weight of secondary rhizomes/plant (g) 65.2 16582.9** 41.4 2.3 924.7** 4.3 19.3 1157.4** 32.3 22.6 1341.7** 17.5<br />
12. Weight of fresh rhizome/plant (g) 24.7 131601.7** 439.8 28.6 91268.6** 51.4 1305.2 122465.1** 1218.1 4846.8 6203.0** 1667.1<br />
13. Rhizome yield (q/ha) 23.8 6133.2** 26.7 1068.3 4670.8** 388.3 136.3 6059.2** 224.7 0.6 6117.6** 20.5<br />
14. Dry matter (%) 0.05 41.7** 0.3 0.9 16.1** 0.4 - 34.2** 0.3 - 42.1** 0.3<br />
15. Curcumin (%) 0.02 8.9** 0.2 0.02 8.5** 0.2 0.01 8.4** 0.1 0.3 8.1** 0.1<br />
16. Oleoresin (%) - 32.4** 0.1 1.9 29.8** 1.9 0.2 32.3** 0.2 1.8 29.6** 2.1<br />
*, ** Significant at 5% and 1% level, respectively, R- replication; T- treatment; E-error
12 Trends in Biosciences 5 (1), <strong>2012</strong><br />
Table 2.<br />
S.<br />
No.<br />
1. Plant height (cm)<br />
Genetic parameters for yield and yield attributes in turmeric<br />
Characters Site General<br />
mean<br />
2. Number of tillers per clump<br />
3. Number of leaves on main shoot<br />
4. Plant girth (cm)<br />
5. Length of mother rhizome (cm)<br />
6. Width of mother rhizome (cm)<br />
7. Weight of mother rhizome (g)<br />
8. Number of primary rhizomes<br />
per plant<br />
9. Weight of primary rhizome<br />
per plant (g)<br />
10. Number of secondary rhizome<br />
per plant<br />
11. Weight of secondary<br />
Rhizomes per plant (g)<br />
12. Weight of fresh rhizome<br />
per plant (g)<br />
13. Rhizome yield (q/ha)<br />
14. Dry matter (%)<br />
Range<br />
Genotypic<br />
coefficient of<br />
variation<br />
(GCV)<br />
Phenotypic<br />
coefficient<br />
of variation<br />
(PCV)<br />
Heritability<br />
(%)<br />
Genetic<br />
advance<br />
Genetic<br />
advance<br />
in %<br />
mean<br />
1 97.22 72.50-118.89 11.20 12.38 81.8 20.28 20.86<br />
2 97.18 72.28-110.48 10.16 11.90 72.8 17.36 17.87<br />
3 96.95 73.12-112.70 10.67 11.87 80.7 19.14 19.74<br />
4 88.78 67.83-113.79 13.54 14.34 89.1 23.37 26.32<br />
1 3.52 2.41-5.51 22.90 25.41 81.2 1.49 42.51<br />
2 3.24 2.35-4.11 14.44 16.91 72.9 0.82 25.39<br />
3 3.70 2.50-4.78 12.83 14.41 79.2 0.87 23.52<br />
4 3.29 1.65-4.76 18.95 22.08 73.6 1.10 33.47<br />
1 9.45 7.92-10.93 7.67 8.509 81.2 1.34 14.23<br />
2 8.91 7.22-10.05 7.62 9.12 70.1 1.17 13.17<br />
3 7.91 6.97-8.99 5.99 6.90 75.3 0.84 10.71<br />
4 8.09 7.55-8.73 3.18 3.74 72.3 0.45 5.57<br />
1 5.16 3.83-7.51 16.43 17.98 83.4 1.59 30.89<br />
2 4.62 3.24-7.77 21.16 23.17 83.4 1.83 39.797<br />
3 5.70 4.20-10.51 23.27 25.44 83.7 2.50 43.84<br />
4 5.49 3.76-9.31 21.16 23.21 83.1 2.18 39.73<br />
1 6.17 4.46-10.72 18.21 18.96 92.2 2.22 36.01<br />
2 5.71 4.62-11.52 23.46 24.29 93.3 2.66 46.68<br />
3 6.22 4.35-10.80 20.76 22.35 86.3 2.47 39.72<br />
4 5.77 3.98-10.19 19.40 19.78 96.2 2.26 39.20<br />
1 3.76 2.12-7.10 25.01 27.49 82.8 1.76 46.88<br />
2 3.13 2.35-5.62 22.81 24.014 90.2 1.39 44.64<br />
3 3.91 2.42-6.98 23.25 25.17 85.3 1.73 44.25<br />
4 3.51 2.77-5.23 15.88 17.25 84.7 1.05 30.11<br />
1 54.93 21.19-251.18 87.13 87.33 99.5 98.38 179.09<br />
2 49.78 16.11-243.26 90.01 90.32 99.3 91.97 184.77<br />
3 39.36 20.60-290.00 38.00 38.47 97.6 30.44 77.33<br />
4 48.48 21.24-247.14 95.13 95.34 99.6 94.80 195.56<br />
1 5.96 4.69-7.22 11.10 12.10 84.1 1.25 20.98<br />
2 3.50 2.73-4.84 14.98 16.95 78.1 0.95 27.28<br />
3 3.57 2.60-5.26 17.11 19.19 79.6 1.12 31.45<br />
4 3.56 2.58-4.90 17.03 18.71 82.9 1.13 31.95<br />
1 95.35 38.31-175.92 34.25 35.55 92.8 64.83 67.99<br />
2 68.69 41.75-172.22 36.78 36.84 99.7 51.96 75.65<br />
3 75.25 51.99-179.52 32.91 33.22 98.1 50.539 67.16<br />
4 71.44 41.91-175.24 35.93 36.23 98.4 52.45 73.42<br />
1 7.68 4.91-16.50 28.72 30.33 89.7 4.30 56.03<br />
2 6.38 4.68-7.54 10.01 11.80 71.9 1.11 17.49<br />
3 7.00 5.12-8.63 12.05 13.54 79.2 1.54 22.11<br />
4 6.08 2.45-8.01 20.70 22.39 85.5 2.39 39.44<br />
1 100.01 28.48-290.16 64.30 64.62 99.0 131.81 131.80<br />
2 59.78 28.53-86.44 25.37 25.61 98.2 30.96 51.78<br />
3 65.49 37.60-92.92 25.60 27.03 89.7 32.718 49.95<br />
4 63.50 35.90-100.15 28.65 29.40 95.0 36.530 57.52<br />
1 263.48 91.39-1036.98 69.86 70.33 98.7 370.55 142.96<br />
2 263.17 221.73-892.61 57.38 57.44 99.8 310.73 118.07<br />
3 288.75 153.23-1050.17 60.29 61.49 96.1 351.65 121.78<br />
4 266.90 119.71-772.00 46.02 48.50 90.1 240.11 89.97<br />
1 322.94 261.33-432.72 12.09 12.20 98.3 79.79 24.70<br />
2 315.60 235.38-393.92 10.36 12.10 73.4 57.74 18.29<br />
3 321.43 230.68-431.57 11.88 12.76 86.7 73.23 22.78<br />
4 321.68 231.67-428.97 12.13 12.21 98.7 79.89 24.83<br />
1 21.21 17.80-30.81 15.16 15.38 97.2 6.53 30.79<br />
2 19.91 17.01-23.96 9.95 10.44 90.8 3.89 19.54<br />
3 21.38 18.16-29.65 13.62 13.88 96.2 5.88 27.52<br />
4 21.35 17.74-26.39 15.15 15.38 97.1 6.56 30.75
S<strong>IN</strong>GH et al., Genetic Variability and Character Association in Turmeric (Curcuma longa L.) 13<br />
variability, heritability, genotypic coefficient of variation,<br />
phenotypic coefficient of variation, genetic advance of the<br />
associated character of the turmeric at different site and<br />
estimate the curcumin and oleoresin content.<br />
MATERIALS AND METHODS<br />
Seventeen genotypes of turmeric was evaluated in a<br />
complete randomize block design with three replications at<br />
two different locations i.e. Experiment Station of Vegetable<br />
Science, Narendra Deva University of Agriculture and<br />
Technology, Kumarganj, Faizabad (U.P.) and Krishi Vigyan<br />
Kendra Farm, Masodha, Faizabad for two consecutive seasons<br />
i.e. 2007-08 and 2008-09.<br />
Turmeric rhizome was planted in the month of June at a<br />
spacing of 30 x 20 cm as per routine agronomic practice was<br />
followed for each location. Observations were recorded on<br />
five random plants for each replication on plant height (cm),<br />
number of tillers per clump, number of leaves on main shoot,<br />
plant girth (cm), length of mother rhizome (cm), width of mother<br />
rhizome (cm), weight of mother rhizome (g), number of primary<br />
rhizomes per plant, weight of primary rhizomes per plant (g),<br />
number of secondary rhizomes per plant, weight of secondary<br />
rhizomes per plant (g), weight of fresh rhizome per plant (g),<br />
rhizome yield (q/ha) and dry matter (%). The various genetic<br />
parameters, oleoresin (%) and Curcumin (%) content was also<br />
analysis as per standard procedure.<br />
RESULTS AND DISCUSSION<br />
Significant differences were observed for sixteen<br />
characters among seventeen genotypes in turmeric (Curcuma<br />
longa L.). The phenotypic coefficient variation (PCV) was<br />
higher than the genotypic coefficient of variation (GCV)<br />
estimates for all the traits studied (Table 1).<br />
The high heritability accompanied with a high genetic<br />
advance in per cent of mean was recorded for weight of mother<br />
rhizome and weight of fresh rhizome per plant while high<br />
heritability along with moderate genetic advance was recorded<br />
for number of tillers per clump, plant girth, length and width of<br />
mother rhizome, number and weight of fresh rhizome per plant,<br />
number and weight of secondary rhizome per plant, rhizome<br />
girth, dry matter (%).<br />
The genotypic coefficient of variation for plant height<br />
was maximum in site 4 (13.52%), while, it was minimum in site<br />
2 (10.16%) and phenotypic coefficient of variation was<br />
maximum in site 4 (14.34) and minimum in site 3 (11.87%). The<br />
highest genotypic (22.90%) and phenotypic (25.41%)<br />
coefficient of variations (GCV and PCV) were observed in site<br />
1. It was found that the estimates of heritability ranged from<br />
72.90 to 81.20% (Table 2). Similar results were reported by<br />
Burton and de Vane, 1953.<br />
Each site showed high estimates of heritability and<br />
genetic advance in per cent of mean except in site 2, which<br />
exhibited medium heritability and low genetic advance in per<br />
cent of mean for no. of secondary rhizomes per plant. This<br />
study supported by Pandey, et al., 2002 and Sinkar, et al.,<br />
2005. The heritability in broad sense for the weight of<br />
secondary rhizomes (g) was high in all the environments while<br />
genetic advance in per cent of mean was medium in site 2, 3<br />
and 4 and high in site 1. High heritability estimates were<br />
recorded in site 1 and site 2, while high genetic advance in per<br />
cent of mean was reported in all the sites for oleoresin (%)<br />
(Table 3). This study supported by Jaha, et al., 2001 and<br />
Shanmugasundaran, et al., 2000.<br />
Table 3.<br />
Curcumin and oleoresin contents in the turmeric<br />
in the form of : Mean (Range)<br />
S. Content<br />
2007-08 2008-09<br />
N.<br />
Site 1 Site 2 Site 3 Site 4<br />
1. Curcumin (%) 5.61<br />
(3.24-8.63)<br />
5.49<br />
(3.18-8.46)<br />
5.45<br />
(3.17-8.40)<br />
5.43<br />
(3.08-8.26)<br />
2. Oleoresin (%) 8.65 8.83 8.63 8.41<br />
(3.15-13.61) (3.14-13.59) (3.12-13.60) (2.80-13.58)<br />
ACKNOWLEDGEMENT<br />
The authors are thankful to Dr. J. Dixit, Professor,<br />
Department of Vegetable Science, N.D.U.A & T. Kumargang,<br />
Faizabad for providing facilities and Dr. Mithlesh Pandey,<br />
Programme Coordinator, KVK Masodha, Faizabad for<br />
encouragement.<br />
LITERATURE CITED<br />
Burton, G. W. and De Vane, E.W. 1953. Estimation heritability in tall<br />
fescue (Fistuea arundicea) from replicated clonal materials. Agric.<br />
J. 45: 178-181.<br />
Jaha, J. C., Duttam, S. and Chatterjee, R. 2001. Genetic variability,<br />
heritability and correlation studies in turmeric (Curcuma longa<br />
L.). Research on Crops, 2(2): 220-225.<br />
Johnson, H. W., Robinson, H. F. and Comstock, R. E. 1955. Estimates<br />
of genetic and environmental variability in Soybean. Agron. J., 47:<br />
314-318.<br />
Pandey, V. S., Pandey, V. P., Singh, T. and Srivastava, A. K. 2002.<br />
Genetic variability and correlation studies in turmeric (Curcuma<br />
longa L.). In: Proc. Nat. seminar on strategies for increasing<br />
production and export of spices. Calicut, Kerala. Oct., 24-26. pp.<br />
195-200.<br />
Shanmugasundaram, K. A., Thangaraj, T. and Chezhiyan, N. 2000.<br />
Variability, heritability and genetic advance studies in turmeric.<br />
South Indian Hort., 48(1/6): 88-92.<br />
Sinkar, P. V., Haldankar, P. M., Khandekar, R. G., Ranpise, S. A.,<br />
Joshi, G. D. and Mahale, B. B. 2005. Preliminary evaluation of<br />
turmeric (Curcuma longa L.) varieties at Konkan region of<br />
Maharashtra. Journal of Spices and Aromatic Crops, 14(1): 28-<br />
33.<br />
Recieved on 10.2.<strong>2012</strong> Accepted on 12.4.<strong>2012</strong>
Trends in Biosciences 5 (1): 14-16, <strong>2012</strong><br />
Induced Desynapsis in Capsicum annuum L.<br />
MOHD GULFISHAN* AND A<strong>IN</strong>UL HAQ KHAN<br />
Cytogenetics and Mutation Breeding Laboratory, Department of Botany, A.M.U. Aligarh 202 002<br />
*e-mail: fishan.amu@gmail.com<br />
ABSTRACT<br />
The seeds of Capsicum annuum L. were treated with 0.5%<br />
aqueous solution of MMS for 3, 5 and 6 h. During the cytological<br />
studies 2 desynaptic plant were isolated at 6 h treatment. In<br />
plant-1, average number of univalents and bivalents per cell<br />
were 13.00 and 6.50, at diakinesis and 15.80 and 4.52 at<br />
metaphase-I, while in plan-2 it was 6.12 and 9.20 at diakinesis<br />
and 10.80 and 7.80 at metaphase-I. At anaphase, equal<br />
distribution of chromosome was observed only in 7.89 and<br />
11.42% pollen mother cells (PMCs) in plant-1 and plant-2<br />
respectively. Rest of PMCs shows irregular distribution of<br />
chromosomes to the poles. Laggards at anaphase and<br />
micronuclei at telophase were also recorded. The desynaptic<br />
obtained during the present investigation, fit into the medium<br />
strong type with reduced pollen fertility.<br />
Key words<br />
MMS, pollen fertility, desynapsis, laggards,<br />
micronuclei.<br />
Desynapsis is the cytogenetic phenomenon where the<br />
homologous chromosomes pair at zygotene and pachytene<br />
but fail to remain paired during subsequent stages resulting<br />
in reduction in chiasma frequency or complete failure of<br />
chiasma formation. In many cases, it is known to be governed<br />
by a single pair of recessive gene or induced by either<br />
environmental factors or by mutagens or brought about by<br />
an interaction of the genotype and the environment or very<br />
rarely by a dominant gene (Koduru and Rao, 1981). Desynapsis<br />
during meiotic division has been reported in many plants such<br />
as pearl millet (Singh, et al., 1977), chilli (Katiyar, 1977), rice<br />
(Reddi, et al., 2000), Cicer arietinum L. (Kumar and Sharma,<br />
2001), barley (Singh, 2002) and in Vigna mungo (Kumar and<br />
Kesarwani, 2003). During the present investigation, the<br />
desynaptic mutants has been isolated in Capsicum annuum<br />
L. var. Pusa jwala, which is one of major spice crop of India<br />
and of the world as well. The present paper reports the<br />
cytogenetic characteristics of 2 induced desynaptic mutants.<br />
MATERIALS AND METHODS<br />
The seeds of Capsicum annuum L. var. Pusa jwala<br />
obtained from IARI New Delhi, were treated with 0.5% freshly<br />
prepared MMS solution for 3, 5 and 6 h. The seeds were<br />
washed thoroughly in running tap water and excess of<br />
moisture was blotted off and then sown in earthen pots. The<br />
controls were maintained separately. At maturity, the young<br />
flower buds of appropriate sizes were fixed in freshly prepared<br />
Carnoy’s solution (Absolute Alcohol : Chloroform : Glacial<br />
Acetic Acid in 6:3:1 ratio) for 24 hr and stored in 70% alcohol.<br />
The anther were squashed in 2% propionocarmine<br />
(Swaminathan, et al., 1954). The slides were made permanent<br />
using n-Butyl Alcohol Schedule (Bhaduri and Ghose, 1954).<br />
Studies on the pollen sterility were also conducted by staining<br />
the pollen grain with 2% propionocarmine. Undersized and<br />
empty pollen grains were considered to be sterile.<br />
RESULTS AND DISCUSSION<br />
During the present investigation, meiosis was perfectly<br />
normal in control plant and12 bivalents were regularly formed<br />
at diakinesis and metaphase (Fig.1a, b) followed by normal<br />
segregation at anaphase. The advent of diakinesis in mutant<br />
plant is marked by abrupt separation of paired chromosome<br />
and many of them were observed as univalents (Fig.1c). In<br />
plant-1 only univalent and bivalent were recorded while in<br />
plant-2 associations of three and four chromosomes in<br />
addition to bivalent and univalents in some pollen mother<br />
cells (PMCs) and only univalents and bivalents in others were<br />
observed. Metaphase-I was also irregular in both the<br />
desynaptic plant. The univalents were not restricted to the<br />
Table 1.<br />
Mean and range of chromosomal associations at diakinesis and metaphase-I and pollen fertility in the desynaptic<br />
mutants of Capsicum annuum L. var. pusa jwala<br />
Plant 1 Diak. 130 13.00±0.36 6.50±0.45 _ _ 15.00<br />
(2-17) (2-11)<br />
Met. 150 15.80±0.64 4.52±0.28 _ _<br />
(1-21) (1-10)<br />
Plant 2 Diak. 130 6.12±o.39 9.20±0.24 0.55±0.06 0.13±0.03 18.00<br />
(2-12) (3-15) (1-4) (0-3)<br />
Met. 150 10.80±0.23 7.80±0.21 0.20±0.07 0.10±0.05<br />
(1-18) (4-11) (1-4) (0-1)
Table 2.<br />
MOHD GULFISHAN AND A<strong>IN</strong>UL HAQ KHAN, Induced Desynapsis in Capsicum annuum L. 15<br />
Chromosome distribution at anaphase-I in two desynaptic mutants of Capsicum-annuum L. var. Pusa jwala<br />
Chromosome<br />
Plant 1 Plant 2<br />
Distribution No. of PMCs Per cent No. of PMCs Per cent<br />
12:12 4 7.89 4 11.42<br />
10:14 7 18.40 11 31.32<br />
11:13 12 31.50 5 14.28<br />
15:9 8 21.05 7 20.00<br />
9:14+1L* 5 13.15 6 17.14<br />
3:9+2 L* 4 10.50 3 8.57<br />
L*= laggards.<br />
metaphase plate instead scattered all over the cytoplasm<br />
(Fig.1d, e) The univalents and bivalents varied considerably<br />
from PMC to PMC in both plants and univalents occurred at<br />
a greater frequency at metaphase-I than at diakinesis (Table<br />
1). As a consequences of univalent formation at metaphase-I,<br />
the following meiotic stages were also highly irregular. At<br />
anaphase-I, normal 12:12 segregation was observed only in<br />
7.89 and 11.42% in plant-1 and plant-2 respectively (Table 2),<br />
while unequal and irregular distribution of chromosomes was<br />
very common (Fig.1f). A variable number of laggards (Fig.1g)<br />
and bridge were also noticed at anaphase-I. Telophase-1was<br />
also not free from abnormalities and variable number of<br />
micronuclei was observed (Fig.1h, i). Second phase of division<br />
also exhibited abnormalities like bridge formation, stickiness,<br />
Fig. 1.<br />
Legends (a-i). a-b normal plant, c-i desynaptic plant.<br />
1. Diakinesis showing 12 bivalents. 2. Metaphase-I<br />
showing 12 bivalents. c-d. Univalents and bivalents. e.<br />
Multivalent along with univalents and bivalents. f.<br />
Unequal separation of chromosome at anaphase. g.<br />
Laggards at anaphase. h. Micronuclei at telophase. i.<br />
Multinuclei at telophase-II.<br />
lagging chromosome and micronuclei etc. Pollen grains were<br />
of variable sizes and pollen fertility was very much reduced<br />
ranging from 15.0 to 18.0% in the 2 desynaptic plants while in<br />
control it was recorded as 85%.<br />
Since chromosome pairing was normal and complete at<br />
pachytene followed by falling apart of some or all homologues<br />
at the subsequent stages, the mutants described here can be<br />
considered as desynaptic and the occurrence of univalents at<br />
diakinesis and metaphase I can be attribute to failure of chiasma<br />
formation. Depending upon the frequency of chromosome<br />
pairing at diakinesis and metaphase I, Prakken, 1943<br />
distinguished desynapsis as weak, medium strong and strong/<br />
complete. The mutant plant of the present study fits into<br />
medium strong type which has been previously described in<br />
safflower (Prasad and Prasad, 1983), Chilli (Raja Rao and Aniel<br />
Kumar 1983), chickpea (Kumar and Sharma 2001). The<br />
distribution of univalents at metaphase I in the desynaptic<br />
plants may be either polar or equatorial and may be influenced<br />
by the number of bivalents per cell. When the bivalents are<br />
few, the univalents tend to be polar but when many bivalents<br />
occur, the univalents tend to be at equatorial plate (Ostergren<br />
and Vigfusson 1953). In the present case, the univalents were<br />
randomly distributed and were not seems to be effected by<br />
number of bivalents per cell. At anaphase, unoriented and<br />
disturbed plate formation leads to irregular chromosome<br />
distribution to the poles (Kumar and Kesarwani 2003).<br />
Presence of laggards was due to the abnormal spindle<br />
formation and failure of chromosomal movement.<br />
Thus, on the basis of the result it can be concluded that<br />
desynapsis is a complicated phenomenon and, is due to a<br />
variety of causes such as gene action, loss of chromosome<br />
pairing, apomixes, structural and numerical changes of<br />
chromosome in addition to environmental causes. In the<br />
present study desynapsis was due to gene mutation because<br />
meiosis of untreated and other treated plant did not show<br />
such phenomenon despite grown in the same field, collected<br />
at the same time, either same or another day. Environmental<br />
effect is ruled out because both the normal and desynaptic<br />
plant were grown under similar environmental conditions. Such<br />
desynaptic plant might be useful for physiological studies on<br />
chiasma formation and crossing over and in establishing<br />
aneuploid lines for basic studies.
16 Trends in Biosciences 5 (1), <strong>2012</strong><br />
LITERATURE CITED<br />
Bhaduri, P.N. and Ghosh, P.N. 1954. Chromosomes squash in cereals.<br />
Stain Technology, 29:269-276.<br />
Katiyar, R.B. 1977. Radiocytogenetical studies in Capsicum: Induced<br />
desynapsis. Caryologia, 30:347-350.<br />
Koduru, P.R.K, and Rao, M.K. 1981. Cytogenetics of synaptic mutants<br />
in higher plants. Theoretical and Applied Genetics, 59:197-214.<br />
Kumar, G. and Kesarwani, S. 2003. Genetic analysis of induced desynaptic<br />
mutant in Vigna mungo L. var. PDU.1. The Nucleus, 46:107-109<br />
Kumar, G. and Sharma, V. 2001. Induced desynapsis in Cicer arietinum<br />
L. Journal of Cytology and Genetics, 2:123-127.<br />
Ostergren, G. and Vigfusson, E. 1953. On the position correlation of<br />
univalents and quasi bivalents formed by sticky univalents. Hereditas,<br />
39:33-50.<br />
Prakken, R. 1943. Studies of asynaptics in rye. Hereditas, 29:475-495.<br />
Prasad, G. and Prasad, J. 1983. Induced desynapsis in Safflower. Indian<br />
Journal of Genetics and Plant Breeding, 43:276-278.<br />
Raja Rao, K.G. and Aniel Kimar, O. 1983. Cytogenetics of spontaneous<br />
desynaptic mutant in chillies (Capssicum annuum L.). Cytologia,<br />
48:195-199.<br />
Reddi, T.V.V, and Rao, D.R.M. 2000. Cytology of induced desynaptic<br />
mutants in rice. Cytologia, 65:35-41.<br />
Singh, R.B., Singh, B.D. and Vijayalakshmi, R.M. 1977. Meiotic behavior<br />
of spontaneous and mutagen induced partial desynaptic plants in<br />
pearl millet. Cytologia, 42:41-48.<br />
Singh, M.R. 2002. Cytogenetic studies of induced desynaptic mutants<br />
in Barley (Hordeum vulgare L.). Cytologia, 67:129-133.<br />
Swaminathan, M.S., Magoon, M.L. and Mehra, K.L. 1954. A simple<br />
propionocarmine PMCs smear for plant with small chromosomes.<br />
Indian Journal of Genetics and Plant Breeding, 14: 87-88.<br />
Recieved on 16.2.<strong>2012</strong> Accepted on 18.4.<strong>2012</strong>
Trends in Biosciences 5 (1): 17-19, <strong>2012</strong><br />
Impact of Abiotic Factors on Population of Acridoid Fauna (Orthoptera) in Aligarh<br />
Fort, Uttar Pradesh, India<br />
MD. HUMAYOON AKHTAR, MOHD. KAMIL USMANI AND MD. RASHID NAYEEM<br />
Section of Entomology, Department of Zoology, Aligarh Muslim University, Aligarh 202 002<br />
email: usmanikamil94@gmail.com<br />
ABSTRACT<br />
A regular survey was carried out weekly during the period of<br />
January to December 2011 from Aligarh Fort to record Acridoid<br />
fauna. Their population have been compared with three abiotic<br />
factors i.e., temperature, humidity and rainfall. Altogether 29<br />
species representing 21 genera belonging to 3 tribes, 7<br />
subfamilies and three families have been recorded from this<br />
region. Out of 29 species Acrididae, Catantopidae and<br />
Pyrgomorphidae are represented by 14, 10 and 5 species<br />
respectively. Maximum number of specimens as well as species<br />
have been recorded in the month of August, September and<br />
October whereas minimum number of specimens and species<br />
recorded in the month of December, January and February.<br />
Acridoid population positively correlate with maximum<br />
temperature, minimum temperature, minimum relative<br />
humidity and rainfall but do not correlate with maximum<br />
relative humidity.<br />
Key words<br />
Abiotic factors, Aligarh fort, Acrididae, Catantopidae,<br />
Pyrgomorphidae<br />
Aligarh Fort located in the city of Aligarh, Uttar Pradesh<br />
situated on the Grand Trunk road and consists of a regular<br />
polygon, surrounded by a very broad and deep ditch. Actually<br />
the site is all natural but has maintained queue of hedges and<br />
patches. There were grasses (Cynodon spp.) in the fort found<br />
throughout the year. Aligarh a district of Uttar Pradesh, situated<br />
at latitude 27.88°N, altitude 78.08°E having subtropical climate.<br />
Average temperatures range between 28–33 °C. The monsoon<br />
starts in late June continuing till early October, with high<br />
humidity levels. Aligarh gets most of its annual rainfall of<br />
800 milli metres during these months. Temperatures then<br />
decrease, and winter starts in December which continues till<br />
early February. Temperatures range between 12–16 °C. Winters<br />
in Aligarh are generally mild, but fog and cold snaps may<br />
occur.<br />
Acrdoidea is one of the most important out of four<br />
superfamilies of Caelifera which comprises five families out of<br />
which Acrididae, Catantopidae and Pyrgomorphidae are<br />
widely distributed in India. Members of Acridoidea are<br />
commonly known as locusts and grasshoppers. Grasshoppers<br />
are of great economic importance, because they constitute an<br />
important group of pests and pose a constant threat to cereal<br />
crops, pulses, vegetables, orchards, grassland and forest<br />
plantations all over the world. Some grasshoppers cause<br />
significant damage to tree seedlings and agricultural crops<br />
(Joshi, et al., 1999). Most grasshoppers are oligophagous<br />
and exhibit definite host preferences (Mulkern, 1967),<br />
according to which grasshoppers are classified as grassfeeders<br />
(graminivorous), forb-feeders (forbivorous) or a mix<br />
of the two (ambivorous or mixed feeders).<br />
MATERIALS AND METHODS<br />
Weekly observations were recorded during the period<br />
of January to December 2011 to assess the distribution and<br />
diversity of grasshoppers in Aligarh fort. Grasshoppers were<br />
collected through net sweeping and hand picking method<br />
and killed using bottle having ethyl acetate. For the purpose<br />
of correct identification and photography the grasshoppers<br />
were stretched, pinned and labeled and examined under stereo<br />
microscope and later kept in store boxes and cabinets for<br />
further studies. For detailed study of genitalia permanent<br />
slides were prepared and drawn it with the help of Camera<br />
Lucida. Meterological records were obtained from Department<br />
of Physics, Aligarh Muslim University, Aligarh. The number<br />
of specimens collected from three sites has been shown in<br />
Table 1, 2, and 3 respectively. Diversity was calculated by<br />
using formula provided by Shannon - Wiener through<br />
SPECDIV program.<br />
H = pi log 2pi<br />
Where, H = Diversity index, Pi = ni/N is the probability<br />
of an individual to belong to a species.<br />
ni = Number of individuals of each species in the sample.<br />
N = Total number of individuals of all species in the samples.<br />
RESULTS AND DISCUSSION<br />
Twenty nine species representing 21 genera belonging<br />
to 3 tribes, 7 subfamilies and 3 families have been recorded<br />
from this region (Table 1). Maximum of 720 specimens have<br />
been recorded in the month of September at 34.8°C and lowest<br />
at 22.4°C while minimum number recorded is 122 in the month<br />
of January at temperature 23.5°C and lowest at 3.4°C (Table 2).<br />
With gradual increase of temperature and relative humidity,<br />
their population also increases but the result shows that 35°C<br />
is optimum temperature for grasshopper and locust population<br />
in Aligarh. Mondal and Shishodia, 1982 also recorded maximum<br />
population at 29°C from Calcutta. Out of total Acridoid<br />
population family Acrididae constitutes maximum of 48%,
18 Trends in Biosciences 5 (1), <strong>2012</strong><br />
Table 1. Population of Acridoid fauna in Aligarh Fort 2011<br />
Months<br />
Temperature (°C) Humidity (%)<br />
Rainfall<br />
No. of<br />
Maximum Minimum Maximum Minimum (mm)<br />
grasshoppers<br />
January 23.5 3.4 97 53 0.00 122<br />
February 29.6 7.5 98 51 57.0 125<br />
March 35.6 10.0 93 30 3.6 140<br />
April 43.0 15.8 74 19 16.0 369<br />
May 44.0 20.8 73 22 45.0 215<br />
June 44.4 23.4 98 26 98.0 140<br />
July 37.4 24.8 98 46 365.8 480<br />
August 35.8 24.4 98 58 223.4 720<br />
September 34.8 22.4 97 52 85.6 628<br />
October 34.6 15.4 81 36 0.00 602<br />
November 32.0 11.6 98 51 0.00 275<br />
December 28.8 4.6 97 49 0.00 206<br />
followed by Catantopidae with 35% while least 17% by<br />
Pyrgomorphidae (Figure 1.). This result correlates with Usmani,<br />
et al., 2010 who described thirty three species of locusts and<br />
grasshoppers from western Uttar Pradesh which constitutes<br />
16 species of Acrididae, 13 species of Catantopidae and 4<br />
species of Pyrgomorphidae. Grasshoppers of the family<br />
Acrididae were recorded from Tamil Nadu. This result also<br />
relates with Nayeem and Usmani, <strong>2012</strong> who have recorded 41<br />
species of Acridoidea from Jharkhand. 17 species of acridids<br />
were recorded by Julka, et al., 1982 from different sites of<br />
Solan, Himachal Pradesh. Acrida exaltata was recorded<br />
throughout the year which is in conformity of the result of<br />
Susanta and Halder, 1998 from west Bengal but contrary to<br />
the result of Azim, et al., 2010. Oedaleus abruptus not found<br />
throughout the year which is contrary to the result of Khan<br />
and Aziz, 1973 from Kashmir. Joshi, et al., 1999 collected total<br />
seven species of Acrididae and two species of<br />
Pyrgomorphidae from the moist deciduous forest in India.<br />
Influence of three climatic factors i.e. maximum and<br />
minimum temperature, relative humidity maximum and minimum<br />
and rainfall on acridoid population fluctuation was analyzed<br />
statistically. A study of coefficient of correlation shows that<br />
population of acridoids positively correlate with maximum<br />
temperature, minimum temperature, minimum relative humidity<br />
Table 2. Relationship between Acridoid population and<br />
climatic factors<br />
Climatic factors<br />
Cor-relation<br />
coefficient (r)<br />
Significance<br />
(p)<br />
Maximum temperature 0.149 ns<br />
Minimum temperature 0.612 s<br />
Relative humidity (Max.) -0.056 ns<br />
Relative humidity (Min.) 0.287 ns<br />
Rainfall 0.469 ns<br />
Regression line.<br />
Y= 36.86- 0.13x 1<br />
- 9.49x 2<br />
+ 18.30x 3<br />
+1.09x 4<br />
+0.86x 5<br />
S= Significant at p (0.005), ns= Not significant, Y= Population of<br />
Acridoids<br />
x 1<br />
= Maximum temperature, x 2<br />
= Minimum temperature, x 3<br />
= Relative<br />
humidity (Max.),<br />
x 4<br />
= Relative humidity (Min.), x 5<br />
= Rainfall<br />
Figure 1. Composition of Acridoid fauna in Aligarh Fort<br />
Figure 2. Species accumulation of Acridoids in Aligarh Fort<br />
and rainfall but do not correlate with maximum relative<br />
humidity. Maximum temperature, maximum & minimum relative<br />
humidity and rainfall as individual factor have no signifance<br />
positive or negative correlation with population of acridoids<br />
but minimum temperature shows a significant positive<br />
correlation (Table 3).<br />
Maximum number of species have been recorded in the<br />
month of August, September and October whereas minimum<br />
number of specimens and species recorded in the month of<br />
December, January and February (Figure 2.). Shannon<br />
Diversity index (3.04) indicates richness of acridoid fauna in<br />
Aligarh Fort. Fort is rich in grasses and bearing an undisturbed<br />
ecosystem. Present findings indicate that undisturbed grass<br />
ecosystem inside the fort supports a large number of<br />
grasshopper species.
AKHTAR et al., Impact of Abiotic Factors on Population of Acridoid Fauna (Orthoptera) in Aligarh Fort, Uttar Pradesh 1 9<br />
Table 1. Distribution of Acridoid fauna in Aligarh Fort during January - December 2011<br />
Species January February March April May June July August September October November December<br />
Acrida exaltata + + + + + + + + + + + +<br />
Acrida gigentea + + + + + + + + + + + +<br />
Phlaeoba infumata _ _ + + + + + + + _ _ _<br />
Phlaeoba panteli _ _ + + + + + + + _ _ _<br />
Orthoctha indica _ _ _ _ _ + + + + _ _<br />
Ceracris nigricornis _ _ _ _ _ _ _ _ + + _ _<br />
Trilophidia anuulata + + _ _ + + + + + + + +<br />
Trilophidia repleta + + _ _ + + + + + + + +<br />
Oedaleus abruptus _ _ + + + + + + + + + _<br />
Oedaleus seneglensis _ _ + + + + + + + + + _<br />
Aiolopus simulatrix _ _ _ + + + + + + + + _<br />
Locusta migratoria _ _ _ _ + + + + + + _ _<br />
Oedipoda miniata _ _ _ _ + + + + + _ _ _<br />
Gastrimargus africanus _ _ _ _ + + + + + _ _ _<br />
Chrotogonus trachypterus _ + + + + + + _ _ _ _ _<br />
Chrotogonus armatus + + + + + + + _ _ _ _ _<br />
Atractomorpha burri + + + + + + + + + + + +<br />
Atractomorpha psittacina + + + + + + + + + + + +<br />
Pyrgomorpha conica _ _ _ _ + + + + + _ _ _<br />
Catantops karnyi + + _ _ _ _ _ _ + + + +<br />
Catantops pinguis _ + _ _ _ _ _ _ + + + +<br />
Schistocerca gregaria _ _ _ _ _ _ _ + + + + _<br />
Eyprepocnemis alacris _ _ _ _ _ _ _ + + + + _<br />
Heteracris littoralis _ _ _ _ _ _ _ + + + + _<br />
Choroedocus robustus _ _ _ _ _ _ _ + + + + _<br />
Spathosternum prasiniferum + + + + + + + + + + + +<br />
Hieroglyphus nigrorepletus _ _ _ _ _ _ + + + + + _<br />
Oxya velox _ _ _ _ _ _ _ + + + + _<br />
Oxya fuscovittata _ _ _ _ _ _ _ + + + + _<br />
ACKNOWLEDGEMENT<br />
Authors are grateful to Prof. Irfan Ahmad, Chairman,<br />
Department of Zoology, Aligarh Muslim University, Aligarh<br />
for providing necessary facilities and also to Chairman,<br />
Department of Physics, Aligarh Muslim University, Aligarh<br />
for providing meteorological data of Aligarh.<br />
LITERATURE CITED<br />
Azim, M. Nayyar., Reshi, Shabir. A. and Rather. Ajaz Hassan. 2010.<br />
Observation on the seasonal variation in population of three species<br />
of grasshoppers (Orthoptera : Acrididae) of Kashmir Himalaya.<br />
Journal of Entomological Research. 34 (4) : 259-264<br />
Julka, J.M., Tandon, S.K., Halder, P. and Shishodia, M.S. 1982. Ecological<br />
observation on grasshoppers (Orthoptera: Acridoidea) at Solan,<br />
Himachal Pradesh, India. Oriental Insects, 16(1): 63-75.<br />
Joshi, P.C., Lockwood, J.A., Vashishth, N. and Singh, A. 1999.<br />
Grasshopper (Orthoptera: Acridoidea) community dynamics in a<br />
moist deciduous forest in India. Journal of Orthoptera Research, 8:<br />
17-23.<br />
Khan, H.R. and Aziz, S.A. 1973. Observation on seasonal variation in<br />
population of hoppers and adults of Oedaleus abruptus (Thunberg)<br />
(Orthoptera : Acrididae). Indian Journal of Entomology. 35(4) :<br />
300-305.<br />
Mondal, S.K. and Shishodia, M. S. 1982. Population fluctuation of<br />
grasshopper fauna in a field near Culcutta. Pro. Symp. Ecol. Anim.<br />
Popul. Zool. Surv. India. 3: 127-132.<br />
Mulkern, G.B. 1967. Food selection by grasshoppers. Annual Review<br />
of Entomology, 12: 59-78.<br />
Nayeem, M. R. and Usmani, M. K. <strong>2012</strong>. Taxonomy and field<br />
observations of grasshopper and locust fauna (Orthoptera:<br />
Acridoidea) of Jharkhand, India. Munis Entomology & Zoology,<br />
7(1): 391-417.<br />
Prakash, C. Joshi., Jeffrey, A. Lockwood., N, Vashishth and A. Singh.<br />
1999. Grasshopper (Orthoptera: Acridoidea) Community Dynamics<br />
in a Moist Deciduous Forest in India. J. Orthoptera Res. 8: 17-23<br />
Susanta, N. and Halder, P. 1998. Population dynamics of the grasshopper<br />
Acrida exaltata (Walker) in the arid zone of West Bengal. Indian<br />
journal of Interacademicia. 2(1-2) : 51-53.<br />
Usmani, M.K, Khan, M.I. and Kumar, H. 2010. Studies on Acridoidea<br />
(Orthoptera) of Western Uttar Pradesh. Biosystematica, 4(1): 39-<br />
58.<br />
Recieved on 16.2.<strong>2012</strong> Accepted on 25.3.<strong>2012</strong>
Trends in Biosciences 5 (1): 20-21, <strong>2012</strong><br />
In Vitro Evaluation of Anti Bacterial Properties of Anacardium occidentale L.<br />
T.G. NAGARAJA 1* AND S.S. SHAIKH 2<br />
1<br />
Department of Agro Chemicals and Pest Management, Shivaji University, Kolhapur 416 004 (MS)<br />
2<br />
Department of Botany, Shivaji University, Kolhapur 416 004 (MS)<br />
*e-mail: tgnagaraja2010@gmail.com<br />
ABSTRACT<br />
An attempt was made to study in vitro screening of anti bacterial<br />
properties of leaf,stem and root of Anacardium occidentale L.in<br />
acetone and ethyl acetate extract. Acetone and ethyl acetate<br />
extract of leaf ,stem and root found to possess good bactericidal<br />
properties against Bacillus megatarium, Micrococcus sp.,<br />
Pseudomonas aeruginosa, Escherchia coli and Staphylococcus<br />
aureus bacteria. While leaf,stem and root extracts in ethyl<br />
acetate proves more bactericidal activity than acetone extracts.<br />
Key words<br />
Anti bacterial, Bacillus megatarium, Micrococcus sp.,<br />
Pseudomonas aeruginosa, Escherchia coli<br />
Anacardium occidentale Linn. a small much branched<br />
evergreen tree, native to tropical America and cultivated in<br />
the coastal parts of India, especially in the West Coast districts<br />
of India, commonly called as East Indian Almond tree. The<br />
liquid free nutshell contains several alkaloids such as<br />
gallocatechin, narimgenin and pruning 6-o-p-coumarate. The<br />
fruit contains anacardic acid, a phenol cardol, essential amino<br />
acids, while the husk contains D-catechin, gallic, caffeic and<br />
quinic acids, leucocyanidine and leucodelphinidin. The bark<br />
and leaves are useful in ondontalgia andulitis, The fruit is<br />
acrid, sweet, hot, antidiarrhoeal, aphrodisiac and anthelmintic,<br />
cures vaata and kapha and is used as counter irritant, drugs<br />
are prepared from shell oil.. Hence, the plant possesses multi<br />
utility in the field of ayruveda, pharmaceutical and in traditional<br />
medicine. Therefore, an attempt was made to study its anti<br />
bacterial properties of leaf, stem and root in acetone and ethyl<br />
acetate extracts in the laboratory.<br />
MATERIALS AND METHODS<br />
Freshly harvested leaf, stem and root of Anacardium<br />
occidentale Lin were collected from Shivaji University campus<br />
for experimental study. The collected samples were brought<br />
to the laboratory, thoroughly washed in tap water and later by<br />
distilled water, cut in to small pieces. Initially these small pieces<br />
were shade dried for 48 hours, later dried in electric oven with<br />
a temperature of 55-58 o C for consecutive 4 days. The dried<br />
samples were than powdered with home grinder to fine powder.<br />
This 20 gm of fine powder of leaf and stem were subjected for<br />
extraction. Acetone and ethyl acetate used as solvents and<br />
extraction was carried out by Soxhlet’s apparatus. Each of<br />
these extracts were further evaporated by Rotary vacuum<br />
evaporator till a gummy semi solid material was obtained. This<br />
semi solid material is used for studying anti bacterial properties.<br />
While studying anti bacterial properties the test bacteria<br />
such as Bacillus megatarium, Micrococcus sp., Pseudomonas<br />
aeruginosa, Escherchia coli and Staphylococcus aureus were<br />
obtained from Department of Microbiology, Shivaji University,<br />
Kolhapur and were maintained in Nutrient Agar and CDA<br />
media. The bacterial suspension was prepared using saline<br />
water and mixed with 100 ml of sterilized NA media with constant<br />
shaking. This 20 ml of seeded medium was transferred to<br />
sterile petriplates. After solidification, well or cup was scooped<br />
with the help of cork borer 5 mm in diameter. The test solution<br />
was poured in the wells with the help of sterilized pipettes.<br />
Anti bacterial activity was carried out by agar well diffusion<br />
method (Alice and Sivaprakasam, 1966). The cultures were<br />
kept in incubator 28 o C for 48 hours and inhibition zone was<br />
recorded in millimeters.<br />
RESULTS AND DISCUSSION<br />
The results were depicted in Table 1 among the five<br />
bacterial species tested, a maximum zone of inhibition 20.1 mm<br />
is recorded in acetone extract of leaf,stem and root of<br />
Anacardium occidentale L followed by 15.2 mm against<br />
Micrococcus sp. and Staphylococcus aureus. this indicates<br />
that acetone extract of leaf,stem and root possess a good anti<br />
bacterial potency. A parallel result was recorded by Shimpi, et<br />
al., 2005 in Aristolechia bracteata and Vijayalakshmi Devi, et<br />
al., 2011 in C.roseus. Simultaneously ethyl acetate extract of<br />
stem, leaf and root also proves to possess good bactericidal<br />
potency against Bacillus megatorium Micrococcus sp., and<br />
Staphylococcus aureus (Table 1). A similar result was<br />
documented by Nagaraja, et al., 2008 in Barringtonia<br />
acutangula and Tejaswini, et al., 2011 in Tridax procumbens.<br />
A negligible zone was recorded against Pseudomonoas<br />
aeruginsa in leaf and stem extract prepared in acetone solvent.<br />
Thus leaf and stem extract prepared in ethyl acetate reflects<br />
powerful anti bacterial potency as compared to acetone extract<br />
(Table 1). Therefore, the present study may helpful in preparing<br />
different formulations of the plant product and may be used<br />
as eco-friendly management of plant diseases.<br />
ACKNOWLEDGEMENT<br />
The author is very much thankful to authorities of UGC<br />
(WRO) Pune for providing financial assistance and Coordinator<br />
Department of Agro Chemical and Pest Management,
Table 1.<br />
NAGARAJA and SHAIKH, In Vitro Evaluation of Anti Bacterial Properties of Anacardium occidentale L. 21<br />
Acetone and ethyl acetate extracts of Anacardium occidentale L. against some bacteria<br />
Sr. Test Bacteria<br />
Zone of inhibition (Diameter in millimeter)<br />
Acetone extract<br />
Ethyl acetate extract<br />
control leaf stem root control leaf stem root<br />
1. Bacillus megatarium 5.1 10.0 15.1 09.1 8.1 22.1 17.1 14.5<br />
2. Micrococcus sp. 5.1 15.2 20,1 21.1 8.1 20.1 30.2 15.2<br />
3. Pseudomonas aeruginosa 5.1 11.0 13.1 10.4 8.1 21.3 19.1 16.2<br />
4. Escherchia coli 5.1 12.1 08.1 15.2 8.1 16.1 17.2 23.3<br />
5. Staphylococcus aureus 5.1 20.1 22.1 17.2 8.1 26.2 17.1 23.1<br />
Shivaji University, Kolhapur for providing laboratory facilities.<br />
LITERATURE CITED<br />
Alice, D and Sivaprakasam, K. 1966. Fungicidal, Bactericidal and<br />
Nematicidal Effect of Garlic-clove extract. Journal of Eco-Biology,<br />
8(2): 99-103.<br />
Nagaraja T. G., Sarang, S.V. and More, V.R. 2008. Anti microbial<br />
activity of Barringtonia Acutangula, Bioinfolet, 5(4): 402-403.<br />
Shimpi, S.R., Chaudhari, L.S., Bharambe, S.M., Kharche, A.T., Patil,<br />
K.P., Bendre R.S. and Mahulikar, P.P. 2005. Evaluation of anti<br />
microbial activity of organic extract of leaves of Aristolechia<br />
bracteata, Pesticide Research Journal, 17(1): 16-18.<br />
Tejaswini, K.B., Vishwanath Pradeep, K. Rudrama Devi, S. Shylaja and<br />
K. Jyothsna. 2011. Phytochemical screening and anti microbial<br />
activities of plant extract of Tridax procumbens, The Bioscan.,<br />
6(2): 321-323.<br />
Recieved on 18-2-<strong>2012</strong> Accepted on 6-4-<strong>2012</strong>
Trends in Biosciences 5 (1): 22-24, <strong>2012</strong><br />
Effect of Sowing Methods, Input and Varieties Levels on Growth, Yield Components,<br />
Yield and Nutrient Uptake of Durum Wheat (Triticum durum Desf.)<br />
PIYUSH JA<strong>IN</strong><br />
Directorate of Extension, MPUAT, Udaipur, Rajasthan<br />
ABSTRACT<br />
In order to evolve low cost, resource efficient production<br />
technology for durum wheat, a field experiment entitled “Effect<br />
of sowing methods, input and varieties levels on growth, yield<br />
components, yield and nutrient uptake of durum wheat (Triticum<br />
durum Desf.)was conducted on clay loam at the Instructional<br />
Farm, Department of Agronomy, Rajasthan College of<br />
Agriculture, Udaipur during the year 2002-03 and 2003-04.The<br />
results showed that durum variety HI 8498 accumulated<br />
maximum quantum of biomass m -2 and nutrients uptake (N, P<br />
and K).These manifested in production of higher effective tillers<br />
m -2 and improvement in yield attributes (test weight, grain<br />
weight ear -1 and grain yield ear -1 ) with concomitant increase in<br />
crop productivity in terms of grain and biological yield by 7.50<br />
and 5.20 per cent over Raj 1555. Among sowing methods, cross<br />
sowing significantly enhanced overall growth of the crop in<br />
terms of biomass accumulation, RGR and CGR, effective tillers<br />
and uptake of nutrients. Apart from increased operational cost,<br />
adoption of cross sowing with higher inputs (125% SR + 125%<br />
FD) gave highest productivity in term of grain (56.97 q ha -1 ) and<br />
biological yield (125.80 qha -1 ) and also monetary returns (Rs<br />
37904.80 ha -1 ) with B:C ratio of 2.50.Interaction effect between<br />
sowing methods and input levels revealed that, cross sowing of<br />
variety HI 8498 with 125% SR + 125% FD produced highest<br />
yields (58.13 q grain and 66.94 q straw ha -1 ) and fetched net<br />
returns of Rs. 38424 ha -1 with B:C ratio of 2.53. The adoption of<br />
FIRB system did not provide any additional gain in productivity<br />
and profitability over cross and line sowing.<br />
Key words<br />
Cross sowing, FIRBS, line sowing, input levels,<br />
growth, yield, net returns<br />
India is one of the major producers of durum wheat with<br />
a total output of 2.5 million tones. The durum wheat accounts<br />
for only eight per cent of total world wheat production. India<br />
is one of the major producers of durum wheat with a total<br />
output of 2.5 million tones. Generally durum growers are<br />
growing their crop, as they adopt for aestivum. It has been<br />
established that besides inherited genetic potentials,<br />
productivity and quality of durum’s are markedly influenced<br />
by agronomic environments. Thus, there is a need to develop<br />
appropriate resource conservation technology, which can<br />
increase production as well as improve quality of durum.<br />
Among agronomic practices planting system plays a vital role<br />
in increasing productivity per unit area, Several researchers<br />
(Hussain, et al., 2003, Singh and Jat, 2002; Houssain, et al.,<br />
2004) have reported benefits of cross sowing and Furrow<br />
irrigated raised beds over conventional line sowing (22.5 cm<br />
apart). Among agronomic variables, seed and fertilizer<br />
accounts for higher cost. Hence, there is a need to evolve<br />
cost effective technologies, which can increase efficiency of<br />
these two inputs without reducing productivity.<br />
MATERIALS AND METHODS<br />
Performance of durum wheat (Triticum durum Desf.)<br />
varieties under varying sowing methods and input levels was<br />
conducted for two consecutive years during Rabi season of<br />
the year 2002-03 and 2003-04 at the Instructional Farm,<br />
Rajasthan College of Agriculture, Udaipur. The soils of the<br />
experimental site were clay loam in texture, alkaline in reaction<br />
(pH 8.18 to 8.21) and had bulk density of 1.46 to 1.45 Mg m -3 .<br />
The soils were medium in available N and P and high in<br />
available K. status (267 kg, 20.58 kg and 384 kg available N, P<br />
and K ha -1 , respectively). The experiment consisted 2 durum<br />
varieties (Raj 1555 and HI 8498), 3 sowing methods<br />
(Conventional line sowing at 22.5 cm row distance, cross<br />
sowing at spacing of 22.5 cm x 22.5 cm in both direction with<br />
use of half seed rate in each direction, FIRB system having 2<br />
wheat rows on each bed formed at a distance of 70 cm) and 5<br />
input levels (Recommended 100% seed rate + 100% fertilizer<br />
dose, 125% seed rate + 125% fertilizer dose, 100% seed rate +<br />
75% fertilizer dose, 75% seed rate + 100% fertilizer dose and<br />
75% seed rate + 75% fertilizer dose of recommendation). Thirty<br />
treatment combinations comprising of two varieties and three<br />
sowing methods in the main plots and five input levels in the<br />
sub-plots were evaluated in split plot design with three<br />
replications. The recommended seed rate was worked out on<br />
the basis of 1000 grain weight of respective variety (Raj 1555<br />
46 g and 50 g for HI 8498) keeping seed rate of 100 kg ha -1 for<br />
test weight of 38 g and as per treatment seed rate was worked<br />
out for sowing. Similarly, recommended dose of the region<br />
was considered and doses were worked out as per treatments<br />
(120 kg N + 60 kg P 2<br />
O 5<br />
ha -1 )<br />
RESULTS AND DISCUSSION<br />
Result of present investigation reveals that durum var.<br />
HI 8498 accumulated significantly higher quantum of biomass<br />
m -2 at each growth stage over var. Raj 1555. Thus when<br />
compared to mean final dry weight of 1051.53 g m -2<br />
accumulated by Raj 1555, Between the varieties, HI 8498 was<br />
found more efficient, as it increased CGR and RGR between<br />
maximum tillering–heading by 19.9 and 7.8 per cent. But later<br />
on (heading – maturity), both the varieties did not show<br />
perceptible variation in these parameters. Among yield<br />
components, Raj 1555 produced higher number of spike lets<br />
and grains ear -1 but effective tillers m -2 , test weight, ear weight<br />
and grain weight ear -1 were significantly higher in HI 8498.
Table 1.<br />
PIYUSH JA<strong>IN</strong>, Effect of Sowing Methods, Input and Varieties Levels on Growth, Yield Components, Yield and Nutrient 23<br />
Effect of varieties, sowing methods and input levels on growth of durum wheat (Pooled for two years)<br />
Treatments<br />
Dry matter accumulation (g/m 2 ) CGR (g m –2 d –1 ) RGR (g g –1 d –1 )<br />
Maximum<br />
tilleging<br />
At<br />
heading<br />
At<br />
harvest<br />
Max. tillering to<br />
heading<br />
Heading to<br />
harvest<br />
Max. tillering to<br />
heading<br />
Heading to<br />
harvest<br />
Varieites<br />
Raj 1555 237.72 609.34 1051.53 11.07 12.26 0.0280 0.0152<br />
HI 8498 262.78 675.33 1133.67 13.27 11.48 0.302 0.0131<br />
CD (P=0.05) 6.81 17.33 27.54 0.64 0.70 0.0013 0.0011<br />
Sowing methods<br />
Line sowing 250.32 638.49 1074.80 12.07 11.45 0.0288 0.0140<br />
Cross sowing 259.24 678.52 1151.10 12.85 12.55 0.0295 0.0141<br />
FIRBS 241.20 610.00 1051.89 11.57 11.62 0.0291 0.0144<br />
Input levels<br />
100% SR + 100% FD 258.36 684.95 1126.53 13.35 11.59 0.0304 0.0132<br />
125% SR + 125% FD 262.14 700.25 1167.97 13.71 12.23 0.0307 0.0134<br />
75% SR + 100% FD 254.64 640.03 1094.61 11.70 12.01 0.0279 0.0143<br />
100% SR + 75% FD 239.75 620.95 1076.89 11.70 12.26 0.0291 0.0149<br />
75% SR + 75% FD 236.36 565.50 996.97 10.39 11.27 0.0273 0.0150<br />
CD (P=0.05) 9.30 23.04 31.54 0.81 0.99 0.00016 0.0012<br />
Table 2.<br />
Effect of varieties, sowing methods and input levels on growth of durum wheat (Pooled for two years)<br />
Treatments<br />
Tiller Spiklets 1000 grain weight Grains Grain yield<br />
Total uptake (kg ha –1 )<br />
m –2 ear –1<br />
(g)<br />
ear –1 (q ha –1 ) Nitrogen Phosphorus Potassium<br />
Varieites<br />
Raj 1555 404 16.25 45.8 45.9 45.4 115.9 32.7 119.6<br />
HI 8498 434 15.08 49.4 41.7 48.8 128.1 36.1 125.1<br />
CD (P=0.05) 11 0.28 0.8 0.7 1.5 2.3 1.0 3.40<br />
Sowing methods<br />
Line sowing 411 15.57 47.6 43.8 46.3 118.5 33.5 119.8<br />
Cross sowing 450 15.48 47.4 43.3 50.4 133.2 37.4 132.6<br />
FIRBS 397 15.93 47.8 44.3 44.6 114.3 32.3 114.7<br />
CD (P = 0.05) - - - - - - - -<br />
Input levels<br />
100% SR + 100% FD 426 16.06 48.2 45.1 48.9 128.1 36.2 126.8<br />
125% SR + 125% FD 459 15.92 47.9 42.2 50.5 133.1 37.5 131.9<br />
75% SR + 100% FD 409 15.92 48.6 45.0 46.9 124.4 35.0 123.2<br />
100% SR + 75% FD 414 15.17 45.8 42.0 46.0 115.2 32.6 119.0<br />
75% SR + 75% FD 388 15.25 47.5 44.0 43.3 109.2 30.7 110.9<br />
CD (P=0.05) 14 0.4 1.1 1.1 1.8 4.0 1.2 4.5<br />
Marked increase in growth and yield attributes in var. HI 8498<br />
could be ascribed to overall improvement in crop growth as<br />
evident from higher dry matter accumulation at successive<br />
stages as well as concentration and uptake of nutrients. These<br />
subscribe greater availability of photosynthates and nutrients<br />
matching with demand for initiation and growth of each<br />
reproductive structure. The results of present investigation<br />
indicating increased overall growth of var. HI 8498 over Raj<br />
1555 corroborate findings of the experiments conducted at<br />
several locations of CZ (DWR, 1997; DWR, 1998).<br />
Cross sowing improved dry matter production by 7.1<br />
and 9.4% over line and FIRB sowings, while FIRB system<br />
recorded reduction of 2.1% over line sowing. Cross sown<br />
crop attained highest CGR(12.85 g m -2 d -1 between maximum<br />
tillering-heading which was at par with line sowing but recorded<br />
significant increase over FIRB system, while later sowing<br />
methods were at par in this respect. Irrespective of crop<br />
duration, RGR didn’t differ significantly between sowing<br />
methods during either year of experimentation. Under cross<br />
sowing better growth, implicated even distribution of seeds,<br />
later on plants (after germination) over the cropped area, thus,<br />
ensuing greater and uniform space to individual plant which<br />
seems to have provided higher growth inputs (below and<br />
above ground) without least competition under cross sowing<br />
compared to line sowing and FIRB system. Several researchers<br />
(Jat, 2001; Parashar, et al., 2004;) also reported reduction in<br />
growth of wheat crop under FIRB system and ascribed this<br />
on account of inter and intra plant competition, which was<br />
not compensated by border effect<br />
The biomass accumulation by plants showed significant<br />
reduction to the extent of 4.4 and 11.5 per cent under reduced<br />
input environments of 100% SR + 75% FD and 75% SR + 75%<br />
FD over 100% SR + 100% FD, while input level of 125% SR +<br />
125% FD failed to enhance it significantly over recommended<br />
level of seed + fertilizer. .Between maximum tillering-heading<br />
stage, CGR and RGR failed to show marked improvement with<br />
higher seed + fertilizer (125% SR + 125% FD) over recommended<br />
input level, while lesser inputs i.e., 100% SR + 75% FD and<br />
75% SR + 75% FD significantly reduced these. The various<br />
yield components were not improved significantly with<br />
elevation in input level from 100% SR + 100% FD to 125% SR<br />
+ 125% FD. However, these parameters showed significant
24 Trends in Biosciences 5 (1), <strong>2012</strong><br />
reduction under lower input levels of 100% SR + 75% FD and<br />
75% SR + 75% FD. Increased inter and intra plant competition<br />
for various growth inputs under higher seed + fertilizers (125%<br />
SR + 125% FD) might have restricted potentials of inputs<br />
particularly increased fertilizers, to modify plant growth to the<br />
fullest extent. On the other hand, reduction in fertilizers by 25<br />
per cent with full seed rate (100% SR + 75%FD), as well as<br />
reductions in both the inputs (75% SR + 75% FD) had a adverse<br />
effect on overall growth of the crop by virtue of inadequate<br />
mineral nutrition for development of various growth<br />
parameters. These results are in conformity to the findings of<br />
(Auti, et al., 1999; Behera and Pandey, 2002).<br />
Var. HI 8498 was found efficient in nutrient uptake as it<br />
accumulated significantly higher quantum of nutrients at<br />
successive stages as well as at harvest, which manifested in<br />
highest total uptake (128.18 kg N, 36.14 kg P, 125.17 kg K ha -1 )<br />
by the crop compared to 115.92 kg N, 32.79 kg P and 119.63 kg<br />
K ha -1 accumulated by Raj 1555. Marked variation in<br />
concentration and uptake of nutrients between durum as well<br />
as aestivum genotypes is in accordance with findings of<br />
several research workers (Singhi and Jat, 2002).<br />
The cross sown crop accumulated significantly higher<br />
quantum of nutrients in plant parts at each stage, which<br />
manifested in highest total uptake (133.20 kg N, 37.54 kg P and<br />
132.61 kg K ha -1 ) representing increases of 12.3, 11.9 and 10.7%<br />
over line sowing and 16.5, 16.1 and 15.5% over FIRB system.<br />
The findings of present study corroborates results of the<br />
experiments conducted by several workers (Jat, 2001)<br />
The crop under higher input environment (125% SR +<br />
125% FD) accumulated highest quantum of nutrients closely<br />
followed by use of recommended seed and fertilizer, while<br />
reduction in either fertilizer (100% SR + 75% FD) as well as<br />
seed + fertilizer by 25 per cent (75% SR + 75% FD) significantly<br />
reduced accumulation of nutrients by the crop)<br />
Durum var. HI 8498 significantly out yielded Raj 1555<br />
and recorded increase in mean grain and biological yield by<br />
7.50% and 5.2%, respectively whereas varieties didn’t differ<br />
significantly in straw production. The economic evaluation<br />
revealed that variety HI 8498 (Malav Shakti) increased net<br />
returns by Rs.2732 ha -1 over Rs.28794.50 ha -1 as compared to<br />
Raj 1555 as well as enhanced net profit/rupee investment from<br />
2.10 to 2.29.<br />
Bidirectional sown crop produced significantly higher<br />
grain, straw and biological yields (50.48, 61.33, 111.80 qha -1 )<br />
representing increases of 9.0, 9.2 and 9.1% over conventional<br />
line sowing. The corresponding increases over FIRB system<br />
were to the extent of 13.0, 15.1 and 14.2%. Despite increased<br />
operational cost, cross sowing gave additional returns of<br />
Rs.3319.30 ha -1 and Rs.4971.30 ha -1 with B:C ratio of 2.33 as<br />
compared to net returns and B:C ratio realized under<br />
conventional line sowing (Rs.29604.70 ha -1 , 2.19) and FIRB<br />
system (Rs. 27952.70 ha -1 , 2.07). The adoption of FIRB system<br />
did not show economic viability as it reduced monetary gains<br />
by Rs. 1652 ha -1 over conventional line sowing.<br />
The interaction effect revealed marked variation in crop<br />
response to input levels under each sowing method and viceversa.<br />
Under line sowing, increase in inputs by 25% each of<br />
seed rate and fertilizer over recommendation though had<br />
positive impacts on overall performance of the crop but failed<br />
to provide additional gains in crop productivity and<br />
profitability. While reduction in inputs by 25% either fertilizer<br />
and seed + fertilizer over recommended level adversely affected<br />
overall productivity and profitability. Conversely, cross sowing<br />
with higher input level of 125% seed + 125% fertilizer over<br />
recommendation enhanced biomass and nutrients<br />
accumulation, consequently production of higher effective<br />
tillers and thereby realized highest productivity of the crop in<br />
terms of grain (56.97 qha -1 ) and biological yields (125.80 q<br />
ha -1 ). While under FIRB system, inputs levels failed to show<br />
any significant variation in crop performance as well as<br />
productivity and profitability. Among combination of studied<br />
production factors, cross sowing of variety HI 8498 with 125%<br />
SR + 125% FD produced highest yields (58.13 qha -1 grain and<br />
66.94 qha -1 straw) and fetched net returns of Rs. 38424 ha -1<br />
and B:C ratio of 2.53.<br />
LITERATURE CITED<br />
Auti, A.K., Wadile, S.C. and Pawar, V.S. 1999. Yield, quality and nutrient<br />
removal of wheat (Triticum aestivum) as influenced by levels and<br />
sources of fertilizer. Indian Journal of Agronomy 44: 119-122.<br />
Behera, U.K. and Pandey, H.N. 2002. Improving productivity of durum<br />
and aestivum wheat with limited irrigation in vertisols in Central<br />
India. Extended summaries : 2 nd International Agronomy Congress,<br />
Nov., 26-30 New Delhi, India, Vol. 2 pp. 1283-1284.<br />
DWR. 1997. Results of the All India Coordinated Wheat and Triticale<br />
Varietal Trials. AICWIP, Directorate of Wheat Research, Karnal,<br />
India.<br />
DWR. 1998. Results of the All India Coordinated Wheat and Triticale<br />
Varietal Trials. AICWIP, Directorate of Wheat Research, Karnal,<br />
India.<br />
Hossain, M.I.M., Duxbury, C.M., Lauren, G., Rahman, M.M., Meer,<br />
M.M. and RashidM.H.2004. Use of raised beds for increasing wheat<br />
production in rice-wheat cropping systems. 4 th International Crop<br />
Science Congress held at Australia<br />
Hussain, I., Khan, A.K., Ahmad, K. 2003. Effect of row spacing on the<br />
grain yield and yield components of wheat (Triticum aestivum).<br />
Pakistan Journal of Agronomy, 2: 153-159.<br />
Jat, L.N. 2001. Evaluation of FIRB planting system for development<br />
of productive and sustainable wheat (Triticum aestivum) – based<br />
cropping system. Ph.D. (Ag.) Thesis, Department of Agronomy,<br />
MPUAT, Udaipur<br />
Prashar, A., Thaman, S., Nayyar, A., Humphreys, E., Dhillon, S.S,<br />
Singh, Y., Gajri, P.R. Timsina, J. and Smith, D.J. 2004. Performance<br />
of wheat on beds and flats in Punjab, India 2 nd International Crop<br />
Science Congress held at Australia.<br />
Sharma R.K. and Randhir Singh 2002. “Furrow irrigated raised bed<br />
planting system. An efficient input usage production technology.<br />
Indian farming, 6:25-26.<br />
Singhi, S.M. and Jat, L.N. 2002. Nitrogen uptake and water use efficiency<br />
of wheat (Triticum aestivum) as influenced by planting system and<br />
varieties. Extended summaries vol. 2 : 2 nd International Agronomy<br />
Congress, Nov., 26-30 New Delhi, India, pp. 870-871.<br />
Recieved on 04-01-<strong>2012</strong> Accepted on 15-04-<strong>2012</strong>
Trends in Biosciences 5 (1): 25-30, <strong>2012</strong><br />
Effect of Season on Helminth Parasitic Prevalence, Dominance, Means Intensity<br />
and Abundance in Some Fresh Water Scaly Fish<br />
KRISHNA S<strong>IN</strong>GH AND ABHA MISHRA<br />
Department of Applied Animal Sciences, Babasaheb Bhimrao Ambedkar University (A Central University),<br />
Vidya Vihar, Raebareli Road, Lucknow 226 025<br />
e-mail: drabhamishra@gmail.com, kri.singh1983@rediffmail.com<br />
ABSTRACT<br />
Five scaly fishes, Channa punctatus, Labeo rohita, Catla catla,<br />
Tor tor and Anabas testudineaus were investigated for seasonal<br />
density and infection intensity of helminths parasites of<br />
Lucknow region during October 2007 to September 2009. Total<br />
fourteen species of helminths were recovered: nine species of<br />
ectoparasites (Dactylogyrus and Gyrodactylus); twelve species of<br />
endoparasites (Clinistomum, Euclinostomum, Gastrohtylax,<br />
Paramphistomum, Opisthorchis, Aspidogaster, Fasciola, Teania,<br />
Trichinella and Pallisentis). The overall prevalence of helminth<br />
parasites infection was recorded as 66.15 % out of 73.84 %<br />
infection in examined scaly fishes. The infestation exhibited<br />
significant monthly or seasonal fluctuation. The maximum<br />
prevalence and mean intensity of helminth parasite was<br />
recorded in summer season, moderate in monsoon and<br />
minimum in winter season. The prevalence, dominance, mean<br />
intensity and abundance of the helminth parasite were also<br />
found to be different between scaly fishes and were varied with<br />
the seasons. Among helminth parasites trematode showed<br />
significantly higher infection intensity as compared to cestode,<br />
nematode and acanthocephalan parasites.<br />
Key words<br />
Helminth parasites, scaly fishes, prevalence,<br />
dominance, mean intensity, abundance.<br />
Climatic change effects on parasites and diseases of<br />
key species may cascade through food webs, with<br />
consequences for entire ecosystems (Marcogliese, 2004,<br />
2008). The seasonal fluctuation affected the parasitic<br />
population (Paulin, 2007; Jørgensen, et al., 2008) and their<br />
infection rate (Ozturk and Altunel, 2006). Optimum temperature<br />
supports all life cycle stages of helminth parasite including<br />
their infectivity, reproduction and hatching rate (Ondrackova,<br />
et al., 2004; Shalaby, et al., 2004). Higher temperature results<br />
in increasing outbreaks of helminth parasite (Ondracji kova,<br />
et al., 2004; Shalaby, et al., 2004).<br />
The prevalence, intensity and abundance of the<br />
infection with helminth parasites species richness increases<br />
with host body size and shows fluctuation in the months of<br />
the year (Bayoumy, et al., 2008; Owolabi, 2008). The medium<br />
sized and weight fish were more infected and their prevalence,<br />
intensity and abundance were highest (Tasawar, et al., 2007;<br />
Bhuiyan, et al., 2008; Owolabi, 2008; Tekin-ozan, et al., 2008).<br />
Carp fishes are reported to show the severe infection<br />
with helminth parasites (Bhuiyan, et al., 2008; Tekin-Özan, et<br />
al., 2008). Fresh water fish, both scaly and scale less, show<br />
the infestation with helminth parasite (Owolabi, 2008;<br />
Morenikeji and Adepeju, 2009) but low temperature only<br />
support the parasitization in scaly fish (Gelnar, 1987).<br />
Helminth parasitic infection not only deteriorate the fish<br />
nourishing quality but also makes wound on their flesh that<br />
leads to secondary infection and cause disease and ultimately<br />
death (Bhuiyan et al., 2008). The present study was done to<br />
investigate the prevalence, dominance, means intensity and<br />
abundance of helminth parasite species on some fresh water<br />
scaly fish of Lucknow region. Study will represent a<br />
comparative assessment of infestation of different helminth<br />
community on five common edible fresh water scaly fish. In<br />
this work we will also focus on the effect of seasons on<br />
helminth parasite infection in scaly fish.<br />
MATERIALS AND METHODS<br />
Lucknow has a warm subtropical climate with cool dry<br />
winters from December to February and dry hot summers from<br />
April to June. The rainy season is from mid-June to mid-<br />
September. In winter the maximum temperature is around 24<br />
degrees Celsius and the minimum is in the 3-4 degrees Celsius<br />
range. Lucknow gets an average rainfall of 101 cms mostly<br />
from the south-west monsoon winds between June and<br />
September.<br />
The survey covers the relative prevalence of helminth<br />
parasites in some fresh water scaly fish during the period<br />
October 2007- September 2009. Fish specimens were procured<br />
from local fish markets. The fishes examined for study were<br />
Channa punctatus (Bloch.) Ophiocephalidae; Labeo rohita<br />
(Ham.) Cyprinidae; Catla catla (Ham.) Cyprinidae; Tor tor<br />
(Ham.) Cyprinidae and Anabas testudineus (Bloch.)<br />
Anabantidae. Fish specimens of each genus were of medium<br />
and approximately same size, same weight to avoid infection<br />
versus fish health factor.<br />
The collected fish were examined externally as well as<br />
anatomically to collect the external and internal helminth<br />
parasites. For collection of external parasites fish were placed<br />
in containers of 4% formalin, shaken and the sediment<br />
examined for parasites. For internal parasites dissected fish<br />
were examined paying special attention to the color and<br />
consistency of the organs. Parasitic helminths were removed<br />
from the fish carcass. These could be cysts, juveniles or larval
26 Trends in Biosciences 5 (1), <strong>2012</strong><br />
forms but only adult one were collected, identified and<br />
numbered for the study to avoid confusion and mistake. For<br />
better observation, hand lens and microscope were used. The<br />
gall bladder was removed and the content examined on a slide.<br />
The wall of stomach and intestine were carefully examined for<br />
the presence of ulcers, cysts and burrowing parasites. The<br />
content of stomach and intestine were flushed and solid<br />
contents being collected for examination.<br />
Nematodes were relaxed for 3 minutes in physiological<br />
saline and washed with water, examined alive, fixed in F. A. A.<br />
(formalin-acetic-alcohol) and transferred in a solution of 5 parts<br />
of glycerin and 95 parts of ethyl alcohol. A few drops of<br />
saturated aqueous picric acid are added to stain and mount in<br />
DPX.<br />
Cestodes were placed in ice water in vials and left<br />
overnight in a refrigerator. This makes the worms relaxed so<br />
their scolex, which is of taxonomic importance. Then flattened<br />
worm between glass and transferred in 70% alcohol 10 minutes.<br />
Wash it again with 70% alcohol and stained with Borax Carmine<br />
for 5 minutes. Afterward, washed it with 90% alcohol and then<br />
give two changes for 5 minutes in absolute alcohol and mount<br />
in DPX.<br />
Trematodes were pressed between two slides with glacial<br />
acetic acid (GAA). This makes the worms transparent so<br />
internal organs can be seen. All parasites were preserved in<br />
70% alcohol for 2-3 hours. Remove the glass and transfer<br />
worms to fresh fixative. After 2-3 hours stain the worms with<br />
Borax carmine, differentiate it with acid water and transferred<br />
in 90% alcohol 10 minutes. Now give two changes in 100%<br />
alcohol for 5 minutes and then clear it with xylene or benzene<br />
and mount with DPX.<br />
Acanthocephalan were first relaxed in 0.6% physiological<br />
saline for 1 hour and then fixed in F. A. A. solution for 24 hours<br />
and stained with Mayer’s Carmalum, dehydrated in a graded<br />
series of alcohol and mount in DPX.<br />
The collected adult helminth parasites were identified<br />
according to Kabata 1985, Yamaguti 1963, 1985 and Verma<br />
2000 on the basis of their internal and external features.<br />
Standard statistical computations viz; prevalence,<br />
dominance, mean intensity and abundance were carried out<br />
according to Margolis, et al., 1982. Study data presented as<br />
season wise according to Pokale, et al., 2002 viz; winter<br />
(October to January), summer (February to May) and Monsoon<br />
(June to September).<br />
The complex chi-square and contingency test were used<br />
for data significance and relationship between parasites<br />
intensity and different seasons (viz., winter, summer and<br />
monsoon).<br />
RESULTS AND DISCUSSION<br />
The prevalence of infection during the study period was<br />
73.84 % in scaly fish. In this study, 3610 parasites of 14<br />
helminth species, including seven digenean trematode<br />
(Clinostomum spp., Euclinostomum spp., Gastrothylax spp.,<br />
Paramphistomum spp., Ophisthorchis spp., Aspidogaster<br />
spp. and Fasciola spp.) and two monogenean trematodes<br />
(Gastrothylax spp. and Dactylogyrus spp.), three cestodes<br />
(Teania spp.), one nematode (Trichinella spp.), and one<br />
acanthocephalus (Pallisentis spp.) were found. Helminth<br />
infection caused deterioration in fish external as well as internal<br />
tissue intactness. During the study, presence of cloudiness<br />
of skin (grey and white), reddening, ragged or torn fins, raised<br />
scales, white spots or parasites visible to naked eyes were<br />
among the common morphological features. The common<br />
changes in internal body parts i.e., yellowish color of liver,<br />
congestion and reddening of liver, pale color of kidney,<br />
transparency and inflammatory reddening of intestine,<br />
hardening of bile and gall bladder, adipose tissues between<br />
the intestine and liver, fluid in the peritoneal cavity, white<br />
nodule on liver, pancreas and kidney were also observed.<br />
Occurrence wise, among different helminth community,<br />
trematode showed maximum prevalence percentage followed<br />
by acanthocephalan, cestode and nematode; however last<br />
two showed fluctuating infection season wise (Fig. 1). Seasonal<br />
effect in % prevalence, % dominance, mean intensity and<br />
abundance of helminth parasite in local fresh water scaly fish<br />
during two successive years was recorded. Data represents a<br />
comparative statement of seasonal effect on different helminth<br />
parasitic group in five common edible fresh water scaly fish. It<br />
was found statistically that the occurrence of all four helminth<br />
parasitic groups (trematode, cestodes, nematode and<br />
acanthocephalan) were not influence each other (÷ 2 < 1, below<br />
the significant value) but their availability in scaly fish groups<br />
was affected by different seasons with varied significant level<br />
among helminth community (Fig. 1; for winter ÷ 2 = 6.48, P <<br />
0.9; for summer ÷ 2 = 8.50, P < 0.75; for monsoon ÷ 2 = 21.95, P <<br />
0.05, complex chi-square and contingency test). A single fish<br />
may be the habitat for a single helminth parasitic community<br />
or may be the host for two or three or all the four helminth<br />
parasitic community with visible preference. The most common<br />
Fig. 1.<br />
Infection rate (%) of helminthes parasites in some<br />
scaly fishes during different seasons.<br />
W= winter; S = summer; M = monsoon
S<strong>IN</strong>GH AND MISHRA, Effect of Season on Helminth Parasitic Prevalence, Dominance, Means Intensity and Abundance 27<br />
combination of helminth parasites was trematode and<br />
acanthocephalan and rare combination was cestode and<br />
nematodes.<br />
With respect to annual helminth infection, minimum<br />
infection intensity for overall community was detected in C.<br />
punctatus whereas maximum infection was recorded in case<br />
of L. rohita, most common edible major carp, as compared<br />
with other scaly fish (Fig. 1). Data presents a clear significant<br />
affinity between helminth community and fish species as well<br />
as they show the seasonal dependence also. During winter<br />
infestation of helminth community was minimum and maximum<br />
was recorded during summer period in all five examined fresh<br />
water fish (Fig.1, Table 1-5).<br />
In winter season, over all infection with helminth<br />
community was highest in T. tor and minimum in C. punctatus<br />
(Fig. 1). The pattern of per cent prevalence of helminth<br />
parasites in all checked scaly fish were same viz. higher with<br />
trematode followed by acanthocephalan, cestode and minimum<br />
with nematode. The prevalence of helminth community was<br />
comparatively highest in T. tor than others (Table 1-5). The<br />
dominance of helminth parasites was also differing in scaly<br />
fishes and follows the same trend of per cent prevalence during<br />
the study period. Per cent dominance of trematode in winter<br />
was high in L. rohita and C. catla; acanthocephalan was high<br />
in A. testudineus and T. tor; cestode was more in L. rohita and<br />
A. testudineus; nematode was maximum in A. testudineus<br />
Table 1.<br />
Prevalence, dominance, mean intensity and<br />
abundance of Helminthes parasites in Channa<br />
punctatus under different climatic conditions.<br />
Trematode<br />
Seasons Prevalence Dominance Mean Abundance<br />
(%) (%) intensity<br />
Winter 15.89 50.91 4.72 0.76<br />
Summer 53.70 46.36 5.07 2.16<br />
Monsoon 38.47 53.62 4.67 1.80<br />
χ 2 =15.24, p
28 Trends in Biosciences 5 (1), <strong>2012</strong><br />
Table 3.<br />
Seasons<br />
Prevalence, dominance, mean intensity and<br />
abundance of Helminth parasites in Catla catla<br />
under different climatic conditions.<br />
Prevalence<br />
(%)<br />
Trematode<br />
Dominance<br />
(%)<br />
Mean<br />
intensity Abundance<br />
Winter 24.70 52.01 1.78 0.41<br />
Summer 78.08 51.89 2.84 2.22<br />
Monsoon 43.91 58.16 3.38 1.46<br />
χ 2 =24.78, p
S<strong>IN</strong>GH AND MISHRA, Effect of Season on Helminth Parasitic Prevalence, Dominance, Means Intensity and Abundance 29<br />
Table 5.<br />
Prevalence, dominance, mean intensity and<br />
abundance of Helminth parasites in Anabas<br />
testudineus different climatic conditions.<br />
Trematode<br />
Seasons Prevalence Dominance Mean<br />
(%) (%) intensity Abundance<br />
Winter 19.51 41.62 1.64 0.21<br />
Summer 76.25 47.43 3.14 2.39<br />
Monsoon 43.18 45.16 1.83 0.92<br />
χ 2 =16.28, p
30 Trends in Biosciences 5 (1), <strong>2012</strong><br />
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Ecology meets Geography and Climate. Journal of Parasitology,<br />
49:169-172.<br />
Puinyabati, H., Singha, R., Somorendra, N. and Kar, D. 2010. Seasonal<br />
Occurance of Helminth Parasites Infecting Anabas testudineus in<br />
Awangsoi Lake, Manipur. Assam Universitty Journal of Science &<br />
Technology, 6(1): 42-45.<br />
Radhakrishnan, S., Nair, N. B. and Balasubramanian, N.K. 1983. Adult<br />
Cestode Infection of the Marine Teleost Fish Saurida tumbil (Bloch.).<br />
Acta Ichthyologica Et Piscatoria. 13(1): 75-96.<br />
Shalaby, I. M., Hassan, M. G., Soliman, M. F. M. and Sherif, N. E., 2004.<br />
Factors Affecting Dynamics of Metacercarial Production of Fasciola<br />
gigantic from its Snail Host. Pakistan Journal of Biological<br />
Sciences. 7(3): 393-398.<br />
Tasawar, Z., Umer, K. and Hayat, C. S., 2007. Observation on Lernaeid<br />
Parasites of Catla catla from a Fish Hatchery in Muzaffargarh,<br />
Pakistan. Pakistan Veterinary Journal, 27(1): 17-19.<br />
Tekin-Özan, S., Kir, Ý. and Barlas, M., 2008. Helminth Parasites of<br />
Common Carp (Cyprinus carpio L., 1758) in Beyºehir Lake and<br />
Population Dynamics Related to Month and Host Size. Turkish<br />
Journal of Fisheries and Aquatic Sciences. 8: 201-205.<br />
Verma, P. S., 2000. A Manual of Practical Zoology Invetebrates.<br />
Published by S. Chand and Company Ltd. New Delhi. pp. 226-261.<br />
Vincent, A. G. and Font, W. F., 2003. Seasonal and Yearly Population<br />
Dynamics of two Exotic Helminths, Camallanus cotti (Nematoda)<br />
and Bothriocephalus acheilognathi (Cestoda), Parasitizing Exotic<br />
Fishes in Waianu Stream, O’Ahu Hawaii. Journal of Parasitology.<br />
89(4): 756-760.<br />
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Trematode of Vertebrates. Inter Science Publishers, Inc. New York.<br />
Received on 8-6-2011 Accepted on 10-12-2011
Trends in Biosciences 5 (1): 31-34, <strong>2012</strong><br />
Life cycle, Population Index and Feeding Activities of the Lime Butterfly, Papilio<br />
demoleus (Lepidoptera: Rhopalocera: Papilionidae)<br />
DURGESH NANDNI, ARUN RAGHUWANSHI* AND V<strong>IN</strong>OY KUMAR SHRIVASTAVA*<br />
Government College, Ashta, District Sehore, M.P.<br />
*Department of Biosciences, Barkatullah University, Bhopal 462 026 (M.P)<br />
email: vinujks2001@yahoo.com<br />
ABSTRACT<br />
The present paper deals about the life history stages of Lime<br />
butterfly which includes larval development period, pupal<br />
period, measurements of body length of caterpillars, population<br />
index and feeding time. The larval instars i.e. Ist, IInd, IIIrd,<br />
IVth and Vth of Lime butterfly lasts for an average of 2.50 ±<br />
0.32 , 4.07 ± 0.61 , 4.10 ± 0.62 , 3.60 ± 0.28 and 3.71 ± 0.25 days<br />
respectively and their body length measured 4.06 ± 0.43 mm,<br />
8.98 ± 0.62 mm, 18.61 ± 0.94 mm, 25.37 ± 0.99 mm and 35.09<br />
±1.45 mm respectively during different larval stages. The total<br />
larval period of Lime butterfly was observed to be 17.98 ± 2.08<br />
days. The pupal period was 11.57 ± 0.92 days. The total<br />
development period was recorded 29.55 ± 3.06 days. During 4 th<br />
and 5 th instar feeding activities was rapid in comparison to 1 st<br />
and 3 rd instar stages. The Lime butterflies were active in<br />
January, February, June, July and October months of the year.<br />
The percentage of survival from egg to adult was maximum in<br />
the month of June (80%) and July (80%) and was minimum<br />
(60%) in month of February.<br />
Key words<br />
Autecology, life history, papilionidae, papilio demoleus,<br />
instars, population index.<br />
Lepidoptera, one of the highly specialized insect order,<br />
includes scale- winged insects of the holometabolous<br />
endoperygote series which includes butterflies and moths<br />
that show total metamorphosis and pass through egg, larva/<br />
caterpillar, pupa and adult stages. Several entomologists were<br />
studied the life cycle of different butterflies and moths<br />
(Ramkrishna-Ayyar,1984; Metcalf and Flint, 1973). Atluri, et<br />
al., 2002 and Vasait, 2002 studied the autecology and life cycle<br />
of Papillio polytes Lepidoptera: Papillionidae. Apart from<br />
this several workers have also revealed the life cycle of many<br />
others butterflies (Singh and Shrivastava, 2008; Dharshey and<br />
Shrivastava, 2010; Nandni, et al. 2011).<br />
MATERIALS AND METHODS<br />
The present study has been made in the garden and<br />
nurseries of Bhopal city. Five sampling stations were opted<br />
and they were representing approximately the four directionsnorth,<br />
east, south and west and the central part of the Bhopal<br />
city. The sites selected for study represent all different<br />
vegetational groups and topography of Bhopal. The eastern<br />
sampling station was “Madhuban Garden” which is situated<br />
in Bharat Heavy Electrical Limited (BHEL) area and is named<br />
as sampling station ‘A’ (Fig. 1). Similarly the sampling stations<br />
in the northern, southern, western and central part of the<br />
Bhopal city were named as sampling stations B, C, D and E<br />
(Fig. 1) respectively; ‘B’ sampling station was “Sundarban<br />
Nursery” situated at Bairagarh, which is about 8km away from<br />
Bhopal on Sehore-Astha-Indore road, while ‘C’ station was<br />
“Mohan/Agra Nursery”, which lies at Misrod road, about 12<br />
km. from Bhopal. ‘D’ station was “Shahpura Garden” located<br />
nearby Maneesha market . Apart from these, ‘E’ station was<br />
“Govt.Park 1”, situated on the link road near the New Market.<br />
‘A’, ‘B’, ‘C’ and ‘E’ sampling stations are relatively dry and<br />
do not have any pond or water body in close proximity. ‘D’<br />
sampling station has a big lake which remains filled through<br />
out the year. In connection to this, the vegetations i.e. herbs,<br />
shrubs, trees and of course grasses were abundant in all the<br />
sampling stations, but A, B, and ‘E’ stations were have more<br />
abundant vegetations than C and D stations (Fig. 1). The life<br />
cycle of Lime butterflies were observed from Sundarban and<br />
Misrod sampling sites, because the greater appearance was<br />
more at these stations in comparison to other sampling<br />
stations. Twigs with leaves carrying eggs of butterfly were<br />
identified on Citrus limon plant. The eggs were observed till<br />
they hatched and along with this, the feeding behavior of<br />
caterpillars was also observed. The caterpillars start feeding<br />
from the periphery of the leaves and reach to midrib. The<br />
caterpillar moves from one leaf to another for feeding. At the<br />
time before pupa formation, the caterpillar stops eating and<br />
forming pupa. During pupation the caterpillar attaches itself<br />
to the walls of Citrus limon’s leave and form pupa.<br />
The present paper deals about the life history stages,<br />
larval development period, pupal period, measurements of<br />
body length of caterpillars, population index and feeding time<br />
of the Lime butterfly Papilio demoleus. In population index<br />
studies, readings were taken for number of eggs, pupae formed<br />
and number of adults emerged. For feeding activity the<br />
observations were recorded of one larva out of all hatched in<br />
that particular month of rearing. Observations made on feeding<br />
activity for a 4 h period. Feeding activity and population index<br />
studies were conducted in the months of January, February,<br />
June, July and October.<br />
RESULTS AND DISCUSSION<br />
The eggs were yellowish in color and arranged on the<br />
leaf surface in a group [Fig: 2(a)]. There were 5 larval instars
32 Trends in Biosciences 5 (1), <strong>2012</strong><br />
observed. The larval period was completed in 17.98 ± 2.08<br />
days. Instar wise development period varies from 2.50 ± 0.32<br />
days (I instar) to 4.10 ± 0.62 days (III instar) [Table 1]. The<br />
pupal period was 11.57 ± 0.92 days. Total developmental period<br />
from Ist instar to adult emergence was completed in 29.55 ±<br />
3.06 days. Ist instar larva was pale brown in color, 4.06 ± 0.43<br />
mm in length. IInd instar larva was slightly dark brown and<br />
feeding on leaves. The fully developed IInd instar larva<br />
measured 8.98 ± 0.62 mm in length. In second and third instar,<br />
body is rough in texture, snuff colored with white markings<br />
Fig. 1<br />
on the dorsal profile of abdomen and anal region. The third<br />
one was 18.61 ± 0.94 mm in length [Table1, Fig. 2(b and c)]. In<br />
fourth and fifth instar, caterpillar turns into pale green. White<br />
and brown band developed on 8 th and 9 th segments. Black<br />
band developed on 4 th and 5 th segments with two black spots.<br />
The fourth and fifth instar measures 25.37 ± 0.99 mm and 35.09<br />
± 1.45 mm long [Table1, Fig. 2(d)]. The pupal colour was light<br />
green. Its length was 30.11 ± 0.74 mm. Posterior end is pointed,<br />
attached to the substratum while anterior end is V shaped<br />
[Table 1; Fig. 2(e)].
NANDNI et al., Life cycle, Population Index and Feeding Activities of the Lime Butterfly, Papilio demoleus 33<br />
Fig. 2. Showing the different stages of life cycle of lime butterfly (Papilio demoleus)<br />
Fig. 2(a): Eggs, Fig. 2 (b&c): Different Instars of caterpillar, Fig. 2(d): Caterpillar preparing to pupate, Fig. 2(e): Pupa, Fig. 2(f): Adult<br />
Butterfly<br />
Table 1. Developmental period and body measurement of Lime Butterfly.<br />
Species<br />
Developmental period in days<br />
Body measurements (mm)<br />
Larval instars<br />
I II III IV V<br />
Larval<br />
period<br />
Pupal<br />
period<br />
Total dev.<br />
period<br />
(Larva to<br />
adult)<br />
Larval instars<br />
I II III IV V<br />
Pupa<br />
Lime<br />
Butterfly<br />
2.50<br />
±<br />
0.32<br />
4.07<br />
±<br />
0.61<br />
4.10<br />
±<br />
0.62<br />
3.60<br />
±<br />
0.28<br />
3.71<br />
±<br />
0.25<br />
17.98<br />
±<br />
2.08<br />
11.57<br />
±<br />
0.92<br />
29.55<br />
±<br />
3.06<br />
4.06<br />
±<br />
0.43<br />
8.98<br />
±<br />
0.62<br />
18.61<br />
±<br />
0.94<br />
25.37<br />
±<br />
0.99<br />
35.09<br />
±<br />
1.45<br />
30.11<br />
±<br />
0.74<br />
Table 2. Population index of Lime butterfly (Papilio demoleus)<br />
Month<br />
Number of eggs<br />
incubated<br />
Number of<br />
larvae hatched<br />
Number of<br />
pupae formed<br />
Number of<br />
adults emerged<br />
Number of<br />
adults emerged in %<br />
Jan 8 6 5 5 62.6<br />
Feb 5 4 3 3 60.0<br />
Jun 10 9 8 8 80.0<br />
Jul 10 8 8 8 80.0<br />
Oct 8 7 6 6 75.0<br />
During population index, it has been observed that, June<br />
(80%) and July (80%) months were the most congenial period<br />
for the development of Lime butterfly and February month<br />
was least favorable month [Table 2]. Observations made on<br />
feeding activity for a 4 hour period. During this period June<br />
and July months were observed, when the feeding time was<br />
maximum. In these months the time was 17.07 ± 6.40 min and<br />
16.69 ± 4.79 min with 3.53 ± 0.84 bouts and 3.46 ± 0.63 bouts<br />
respectively [Table-3]. It was found that in 4 th and 5 th instar<br />
feeding was rapid and in first to third instar feeding was slow.
34 Trends in Biosciences 5 (1), <strong>2012</strong><br />
Table 3.<br />
Month<br />
Feeding activity of Papilio demoleus larvae on<br />
Citrus limon leaves over 4h period<br />
Instar<br />
No.<br />
Day of<br />
Observation<br />
No. of<br />
feeding<br />
bouts<br />
Total length of<br />
larval feeding<br />
time(min)<br />
I 1 - -<br />
2 2 9<br />
Jan II 1 3 13<br />
2 3 13<br />
3 2 14<br />
III 1 3 12<br />
2 4 15<br />
3 4 15<br />
IV 1 3 17<br />
2 3 17<br />
3 3 19<br />
V 1 3 22<br />
2 4 22<br />
3 4 27<br />
3.15 ± 0.66 16.53 ± 4.71<br />
Feb I 1 - -<br />
2 2 9<br />
II 1 2 10<br />
2 4 13<br />
3 4 14<br />
III 1 3 10<br />
2 4 15<br />
3 4 16<br />
IV 1 3 17<br />
2 3 17<br />
3 4 20<br />
V 1 4 24<br />
2 4 25<br />
3 3 27<br />
3.38 ± 0.73 16.69 ± 5.63<br />
Jun I 1 - -<br />
2 2 9<br />
II 1 3 10<br />
2 3 10<br />
3 3 12<br />
III 1 3 10<br />
2 4 16<br />
3 4 16<br />
IV 1 3 17<br />
2 5 22<br />
3 4 22<br />
Breeding of Lime butterfly was observed in January, February,<br />
June, July and October months. The mean temperature of these<br />
months were 18.81 ºC, 24.34 ºC, 31.74 ºC, 26.35 ºC and 26.01 ºC<br />
respectively.<br />
The mean percentage relative humidity of these specific<br />
months was 51.81, 40.55, 56.73, 87.46 and 61.62 respectively.<br />
Eggs and larvae found on various host plants revealed this<br />
period to be most favourable period of this butterfly as it was<br />
also reflected by the higher population index and feeding<br />
activity of the larvae.<br />
ACKNOWLEDGEMENT<br />
We wish to express sincere deep sense of gratitude to<br />
Prof. M. Banerjee, HOD Bioscience Dept., B.U. Bhopal, Dr.<br />
V 1 4 25<br />
2 5 26<br />
3 3 27<br />
3.53±0.84 17.07 ± 6.40<br />
Jul I 1 - -<br />
2 3 10<br />
II 1 2 10<br />
2 4 13<br />
3 3 12<br />
III 1 3 14<br />
2 4 16<br />
3 4 16<br />
IV 1 3 17<br />
2 4 19<br />
3 4 20<br />
V 1 4 20<br />
2 4 25<br />
3 3 25<br />
3.46 ± 0.63 16.69 ± 4.79<br />
Oct I 1 - -<br />
2 2 6<br />
II 1 3 11<br />
2 3 14<br />
3 4 15<br />
III 1 3 10<br />
2 4 14<br />
3 4 15<br />
IV 1 3 18<br />
2 4 19<br />
3 5 20<br />
V 1 4 22<br />
2 5 24<br />
3 3 26<br />
3.61 ±<br />
0.83<br />
16.46 ±<br />
5.52<br />
Rajesh Verma, Principal scientist, Entomology, FRS, Intkhedi,<br />
Bhopal (M.P.) and Dr. K. Chandra, Office Incharge, Central<br />
Regional Station, Zoological Survey of India, Jabalpur (M.P.)<br />
for the valuable guidance for the study.<br />
LITERATURE CITED<br />
Atluri, J. B., Venkata Ramana, S. P., and Subba Reddi, C. 2002. Autecology<br />
of the Common Mormon butterfly, Papilio polytes (Lepidoptera:<br />
Rhopalocera: Papilionidae). Journal of Environmental Biology,<br />
23(2):199-204.<br />
Dharshey, D.N. and Shrivastava, V.K. 2010. Autecology of the heverfly<br />
Allograpta obliqua say (Diptera : Syrphidae) at Shahpura lake (Chuna<br />
bhatti), Bhopal, M.P. Biospectra, 5(1): 01-04.<br />
Kalyanam, N. P. 1967. Common Insects of India, Asia publishing house,<br />
P.1.<br />
Metcalf, C.L. and Flint, W.P. 1973. Destructive and useful insects. 4 th<br />
ed, Tata McGraw Hill Publishing Co Ltd. New Delhi, pp.1087.<br />
Nandni, D., Raghuwanshi, A. and Shrivastava, V. K. 2011. Autecology<br />
of the Common Mormon butterfly, Papilio polytes (Lepidoptera:<br />
Rhophalocera, Papilionidae). J. Ent. Res., 35(2) : 1-4.<br />
Ramkrishna Ayyar, T.V. 1984. Hand book of Economic Entomology<br />
for South India. Government Publications, Madras.<br />
Singh, H. and Shrivastava, V.K. 2008. Autecology of the lime butterfly,<br />
Papilio demoleus demoleus (Lepidoptera : Rhophalocera,<br />
Papilionidae). J. Exp. Zoology, India, 11(2): 331-333.<br />
Vasait, J.D. 2002. Study of the life cycle of Papilio polytes Lepidoptera:<br />
Papilionidae, Ecology. Environment. and Conservation, 8(1): 79-<br />
84.<br />
Recieved on 2-8-2011 Accepted on 15-12-2011
Trends in Biosciences 5 (1): 35-37, <strong>2012</strong><br />
In Vitro Quantification of B-Cell Proliferation in Kidney Culture of Channa striatus<br />
Exposed to Different Doses of KOV Antigen of Aeromonas hydrophila, using<br />
Lymphocyte Transformation Test (LTT)<br />
S.A. MASTAN<br />
Post-Graduate Department of Biotechnology, D.N.R. College, P.G. Courses and Research Centre,<br />
Bhimavaram-534 202, W.G. Dist, A.P.<br />
email: shaikmastan2000@yahoo.com<br />
ABSTRACT<br />
The present work aims to study the specific immune response<br />
shown by the fish against various doses of KOV antigen of<br />
Aeromonas hydrophila. Tissue culture techniques were used<br />
for the culture of lymphoidal cells of head kidney. The cell<br />
number was primarily calculated by using Nicobar’s Chamber<br />
and the cells were infused with various doses of antigen. The<br />
highest number of lymphocytes transformation was observed<br />
in the well treated with 5.25µl antigen while the lowest number<br />
of lymphocyte transformation was observed in the treated with<br />
0.002µl of antigen.<br />
Key words Aeromonas hydrophila, lymphocyte transformation<br />
test, Channa striatus<br />
Immune mechanism of the fish have not been as<br />
extensively studied as those of mammals but they appear to<br />
share a number of structural and functional characteristics<br />
important in the humoral, cell – mediate and non specific<br />
immune response. Immune cells of fish, similar to those of<br />
mammals include : (a) antibody producing cells thought to be<br />
analogous to B – lymphocytes (Anderson, et al., 1982): (b) T<br />
– lymphocyte – like antigen sensitive cells, which participate<br />
in reactions important in cell – medicated immunity such as<br />
delayed type hypersensitivity: (c) non – specific cytotoxic<br />
cells (NCC), a proposed equivalent to mammalian natural killer<br />
cells (NK), which are cytotoxic to a variety of allogenic and<br />
xenigenic tumour cells in vitro (Graves, et al., 1982); and (d)<br />
phagocytic cells including polymophonuclear like leucocytes<br />
and macrophages, which are important in both non specific<br />
and cell mediated immunity (McKinne, et al., 1961).<br />
Lymphocyte transformation is conventionally measured by<br />
incorporation of radioactive thymidine into the DNA of<br />
dividing cell. The rate and amount of isotope incorporated,<br />
expressed as count per minute (CPM), is a reflection of<br />
response and is directly related to the number of cells<br />
responding. Other parameters of lymphocytes response can<br />
be measured e.g. incorporation of amino acids into proteins,<br />
amino acid transport, enzyme synthesis, RNA synthesis and<br />
membrane changes. Lymphocyte transformation may also lead<br />
to secretion of lymphokinase e.g. blastogenic factor, migration<br />
– inhibition factor and interferon; however elaboration of<br />
lymphoid products may occurs in the absence of proliferation<br />
(Lamers, et al., 1992). The substances that can induce<br />
lymphocyte transformation have been classified as specific<br />
or non-specific depending upon whether or not response to<br />
the stimuli requires prior exposure of the cell donor to the<br />
stimulant. In experimental animal model system, this is referred<br />
to as the requirement for pre sensitization. Generally, the<br />
procedure for preparation and maintenance of fish cell cultures<br />
do not differ from those adopted for higher vertebrates.<br />
However, the appropriate physiological and culture condition<br />
depend upon the type of tissue under cultivation, which<br />
include growth responses, culture media, temperature and<br />
osmolarity of the culture environment. The present paper<br />
reports the in vitro quantification of B-cell proliferation in<br />
kidney culture of Channa striatus exposed to various doses<br />
of KOV antigen of Aeromonas hydrophila, using Lymphocyte<br />
Transformation Test (LTT).<br />
MATERIALS AND METHODS<br />
For the purpose of present study, the cell cultures were<br />
developed from kidney of healthy Channa striatus, as per<br />
procedure described by Freshney, 1960. Fish tissues were<br />
taken aseptically at field sites, placed in growth medium and<br />
transported at ambient temperature to the laboratory. They<br />
were processed further and seeded on culture medium. The<br />
cultures thus obtained successfully were used for further use.<br />
The supernatant was centrifuged at 1500 rpm; the pellets were<br />
suspended in PBS. After Pippeting out the non-adherent cells<br />
from the flask, the adherent cell layer was washed with PBS.<br />
Dislodging of the adherent cell was avoided during the<br />
washing steps. The lymphocytes were poured in multi well<br />
plates and the cells were counted in special chamber called<br />
the Nicobar’s Chamber. The haemo-cytometer was also used<br />
to count the number of lymphocytes. Cell suspension was<br />
diluted before counting and carefully added to the area under<br />
the cover slip so that the grid area was just full and not<br />
overwhelming into the over flowing well. The cells were allowed<br />
to settle. The cells were counted in each of the four large<br />
squares. Only those cells were counted touching two outside<br />
borders. The average of the cells per large square was<br />
determined. This was the number of cells per 10 -4 ml. Thus<br />
cells per ml = (Av. No. per large square) X 10 -4 X 1/dilution.<br />
Specific antigen was added (LPS of A. hydrophila) in different<br />
concentrations. The cell number was counted after one week’s<br />
time.
36 Trends in Biosciences 5 (1), <strong>2012</strong><br />
RESULTS AND DISCUSSION<br />
In the present study, lymphocyte transformation test<br />
was used in vitro quantification of lymphocytes. The cell<br />
number increases from 24,600 to 24,670 in the control well.<br />
This may be due to the stress posed by cell during culture.<br />
The cell number increases significantly in LSP treated wells.<br />
The highest transformation of cells (36,866) was observed in<br />
well treated with 6.25µl of antigen. While lowest transformation<br />
of cells 24,850) was observed in the well treated with 0.002 ul<br />
of antigen (Table 1).<br />
It is generally agreed that lymphocytes carry specific<br />
receptors that recognize antigen on the surface of the cell.<br />
Since the only molecule known to combine with antigen is<br />
antibody, the speculation was that the receptor of B-<br />
lymphocyte is a kind of immunoglobulin which appears<br />
structurally related to IgM. It has been shown that cell<br />
expressing IgM can also express IgD from the base of cell<br />
Table 1. In vitro qualification of lymphocytes<br />
S.No<br />
Initial value<br />
(Number of cells)<br />
Amount of<br />
LPS Added<br />
Transformed<br />
value (No. of cells)<br />
1 24,750 6.25 36,860<br />
2 24,750 1.25 33,230<br />
3 24,750 0.25 27,480<br />
4 24,750 0.05 27,050<br />
5 24,750 0.01 25,950<br />
6 24,750 0.002 24,850<br />
7 24,750 Control (No<br />
LSP added)<br />
24,670<br />
receptor. The production of each class of immunoglobulin is<br />
otherwise determined by the presence of class specific Ig on<br />
B- lymphocytes as determined by the genes. When an antigen,<br />
which may be a foreign organism or compound, enters into<br />
the tissue of the animal, lymphocytes are stimulated to<br />
differentiate and divide. Similar to the bone marrow derivative<br />
lymphocytes, an interaction of antigen with thymus derive<br />
lymphocytes can also give rise to primary and secondary<br />
responses in which no specific antibody molecule is involved.<br />
The specific changes from virgin lymphocyte into effector<br />
cell demonstrate, for example ,by specific cytotoxic action to<br />
target cell in response to antigenic determinant indicate that<br />
T- lymphocytes are also antigen sensitive. It also indicate<br />
that the lymphocytes derive from bone marrow and thymus<br />
respectively and activated by appropriate antigen and finally<br />
expanded into short lasting effector cells and long lasting<br />
memory cells. While the former response protects the host<br />
against acute phase of infection as results of first contact and<br />
eliminates the infective agents, the latter provides protection<br />
against infection by an effective interaction on subsequent<br />
contact with primary antigen survived from the microbes.<br />
Activation and proliferation along with differentiation<br />
into effector cells are important response of immune system<br />
to challenge by invading pathogen. Cellular expansion is<br />
meant to increase a number of effector cells, capable of<br />
generating both the necessary inflammatory milieu and an<br />
increased frequency of pathogen specific responder cells.<br />
Depending on the nature of the pathogen and challenge to<br />
the organisms, the response may differ considerably in term<br />
of cellular component involved and appropriate effector<br />
function, chosen by immune system for instance, CTL usually<br />
appears during viral infection. The cell responses are induced<br />
by intracellular bacteria such as mycobacterium, while Th2<br />
pattern can be detected in connection with helminthes<br />
infection and humoral (B-cell) immune response frequently<br />
observed following immunization with protein. Moreover,<br />
cooperative action is characteristics but still not fully<br />
understood aspects of immune system, involving the various<br />
components during the maturation of immune response to<br />
varying degrees. Thus, proliferation is a frequent response of<br />
T-Lymphocytes to an antigenic stimulation. In vivo<br />
experiments are an important supplement of studying the<br />
infectious diseases. Proliferation studies performed in vitro<br />
using isolated and highly purified lymphocytes subsets in<br />
order to detect cellular complexity and to focus on particular<br />
role of individual subset In teleosts, ability to respond to T-<br />
cell and B- cell mitogenes are established some 20 years ago<br />
(Eltinger, et al., 1976) and a number of studies followed<br />
(reviewed by Rowley, et al., 1988). The requirement for<br />
accessory cell activation of T- lymphocytes by mitigen was<br />
confirmed by channel catfish peripheral blood lymphocyte<br />
(Sizemore, et al.,1984) it now seems likely that these accessory<br />
cells (monocytes) were acting by secretion of cytokinesis,<br />
precisely IL1 (Millev, et al.,1985, Clem, et al.,1985). Sizemore,<br />
et al., 1984 separated SIg+ cells from SIg- cells by panning<br />
and demonstrating that SIg+cells responded to LSP regardless<br />
the presence or absence of monocyte, while the cells remain<br />
unresponsive to either LPS or Con A, unless the accessory<br />
cells were present in which respond to mitogens. In Pearman<br />
et al., 1963 reported that lymphocytes of tuberculin – positive<br />
individual Transform in vitro in presence of purified protein<br />
derivatives obtained from tuberculin (PPD) whereas the<br />
lymphocytes of tuberculin negative individual fail to transform.<br />
The strength of skin test responses has been found to correlate<br />
well with the degree of lymphocyte transformation<br />
(Miller and Jones, 1973). High dose of stimulation with<br />
tuberculin, however, may cause lymphocytes from skin test<br />
negative donor to respond (Nillson). Oppenhiem, et. al., 1967<br />
similarly demonstrated transformation to PPD and to guinea<br />
pig albumin orthanilic acid and with lymphocytes that had
MASTAN, In vitro Quantification of B-Cell Proliferation in Kidney Culture of Channa striatus 37<br />
been taken from guinea pig pre immunized with same antigen.<br />
Teleosts fishers possess T and B lymphocytes as found in<br />
mammals (Clem. 1991). Monoclonal antibodies have been<br />
used to separate the SIg+ from SIg- in experiments Labb et al<br />
., found that SIg+ are 40 % while SIg- 2-5%. In ultra structural<br />
study Ig occurs mainly in clusters on membrane of B cells. In<br />
mammals certain substances ( Mitogens) are specific for a<br />
particular array of carbohydrates moieties occur on T cells<br />
but not of B cells e.g PHA and Con A. The other mitogens like<br />
LPS activate the proliferation of B cells but not the T cells.<br />
Marsden, 1995 suggested that SIg- cells were activated by<br />
PHA and vice versa for SIg+ population peripheral<br />
lymphocytes of carp. Some SIg+ cells respond only dull in<br />
immunoflorescent technique. The lymphocyte transformation<br />
test can be done according to procedure given by Scheffold<br />
and Radbruch 1998 and Pechhold and Kabeltz 1998.<br />
LITERATURE CITED<br />
Adikins, B., Muller, C., Cad, C.Y.,Reichert, R.A., Weiseman, I.L, and<br />
Spagnide, G.J. 1987: Early evenys ibn T-cell maturation, Ann. Rev.<br />
Immunol,5 3254.<br />
Asherson, G.L., Collizi, V. and Zembala, M. 1986. An over view of T-<br />
supressor cell circuits, Ann. Rev. Immunol.<br />
Brecht, H.1948.J. Immunology, 101:18.<br />
Boyum, A.(1968) : Seperation of Leucocytes from Blood AND bone<br />
marrow with special reference to factor which influence and modify<br />
sedimentation properties of Hematopoitic .cell. Scan. J. Lab. Invest,<br />
21:1<br />
Burnet, F.M. 1968: Evaluation of Immune process in vertebrates, Nature,<br />
218:426.<br />
Boyd, W.C. 1966: Fundamentals of Immunology (4 th edn.), Inter Science<br />
Publishers, New Work.<br />
Boyum, A. 1968: Seand, J. Clin. Lab. Invest. 21, supll.97,31-50.<br />
Curtis, A. Williams and merril, W. Chase. 1967. Methods in Immunology<br />
and Immunochemistry. Vol-1, Academic Press, New York. pp. 197.<br />
Csizmas, l., 1960. Proc.Soc. Exp. Biol.,N.Y. 103 : 157.<br />
Cruickshank, R., 1968.Medical Microbiology, 11 th edn. ch. 54, pp-922.<br />
Edinburgh. E and S. Livingston Ltd., UK.<br />
Clausen, J. 1969 : Immunochemical Techeniques for the identification<br />
and estimation of Macromolecules, North Holland, Amsterdam.<br />
Feldman, M. 1972: cells interaction in immune response. In vitro;<br />
specific collaboration via complexes of antigen and thymus derived<br />
cells immunoglobulin, J.Exp. Med., 136:137.<br />
Gowenlock, H 1988 : Varley’s Practical Clinical Biochemistry,<br />
Heinemann Medical Books, London.<br />
Hirata, A.A. and Brandriss, M.W., 1968.J Immunl, 100: 641.<br />
Holborrow, E.J. 1968. An ABC of Modern Immunology,<br />
Brow and Co., Boston.<br />
Li t t l e<br />
Julis, M.H., Simpon, E and Hersenberg, LA., 1973: A rapid method for<br />
isolation of functional Thymus Derived Lymphocyte. Eur. J.<br />
Immumol; 3:645.<br />
Ling, N.R. 1961. Immunol 4: 49.<br />
Ling, N.R. 1968. lymphocyte Stimulation, North Holland.<br />
Mancini, G., Carbonara, A.O. and Dremans, J.F, 1965. Immunochemical<br />
Quantitation of Antigen by Single Radial Immunodiffusion.<br />
Immunochemistry. 2 : 235.<br />
Nairn, R.C. 1984. Practical method in Clinical Immunology, Churchill<br />
Livingstone, Edinburgh.<br />
Pirofsky, B ., Cordova, Marina and Imel, T.L. 1962. J. Immunology.<br />
89:767.<br />
Playfair, J.H.L. 1989 : Immunology at a Glance, Blackwell Scientific<br />
Publication, Oxfod.<br />
Sites, D.P., Stobo, J.D., Furderberg, H.H. and Wells, J.B 1984. Basic and<br />
Clinical Immunology, Lange Medical Publishers, Califonia.<br />
Treach, M.A.H. 1986. Immunologlobulin in Health and Disease, M.T.P.<br />
press, Lancaster, U.K.<br />
Williams, A. Curtis and Chase, Merli, W., “Methods in Immunology<br />
and Immunochemistry” Academic Press, New York.<br />
Recieved on 3.8.2011 Accepted on 5.3.<strong>2012</strong>
Trends in Biosciences 5 (1): 38-40, <strong>2012</strong><br />
Pathogenicity and Mass Production of Entomopathogenic Nematode, Heterohabditis<br />
indica on Major Insects of Agricultural Importance<br />
RISHI PAL*, G.N. TIWARI AND C.S. PRASAD<br />
Sardar Vallabhbhai Patel University of Agriculture & Technology, Meerut, U.P.<br />
Biocontrol Laboratory, Department of Entomology<br />
email: rishipal.biocontrol@gmail.com<br />
ABSTRACT<br />
A study on pathoge nicity and mass pro duction of<br />
entomopathogenic nematode, Heterohabditis indica was carried<br />
out in Meerut, India. Observed data showed that the larval<br />
stages of Plutella xylostella, Bombyx mori, Leucinodes orbonalis,<br />
Corcyra cephalonica, Galleria mellonella and Helicoverpa<br />
armigera were found highly susceptible to the IJs of H. indica<br />
causing 73.3 to 100% mortality at 48 h of exposure. Other<br />
insects, viz., Spodoptera litura, Spilosoma obliqua, Pieris brassicae,<br />
Earias vittella and Holotrichia consanguinea were less susceptible<br />
(3.3 to 73.5% mortality). The maximum IJs were produced from<br />
the infective larvae of G. mellonella (50,000-2,00,000) followed<br />
by H. armigera (50,000-1,50,000). Whereas, the minimum IJs<br />
were produced from infective larvae of P. xylostella (100-2000)<br />
followed by B. mori (2000-3000).<br />
Key word<br />
Pathogenicity, mass production, entomopathogens,<br />
heterohabditis indica<br />
A number of insect pests cause serious damage to cash<br />
crops i.e. cotton, sugarcane, fruits and vegetables. Insect pest<br />
management continues to be one of the major constrains to<br />
the productivity. According to an estimate, the yield losses<br />
caused by insect pests in different crops were about 12-15%<br />
valued at Rs. 3615 crores.<br />
Entomopathogenic nematodes associated with insects<br />
causing disease in susceptible insects and killing them. They<br />
are lethal obligatory parasites of insects (Kaya and Gaugler,<br />
1993), yet pose no threat to plants, vertebrates and many<br />
invertebrates. Entomopathogenic nematodes possess many<br />
attributes of an excellent biological control agent. They have<br />
a broad host range and are highly virulent, killing the host<br />
rapidly. The present information generated will support further<br />
investigation to understand biological and ecological<br />
characteristics of these nematodes, which are important factors<br />
to consider while using them in Bio-intesive Integrated Pest<br />
Management (BIPM) programme.<br />
MATERIALS AND METHODS<br />
Entomopathogenic nematode, Heterorhabditis indica<br />
was cultured on Galleria mellonella larvae as described by<br />
Kaya and Stock, 1997. Infective juveniles emerging within<br />
first 2 weeks were collected from modified White traps (Kaya<br />
and Stock, 1997) and stored at 10 o C. Only fresh cultures were<br />
used in the pathogenicity.<br />
Larvae of Leucinodes orbonalis (shoot and fruit borer),<br />
Earias vittella (spotted bollworm), Spodoptera litura<br />
(tobacco cutworm), Plutella xylostella (diamondback moth),<br />
Pieris brassicae (cabbage butterfly), Spilosoma obliqua<br />
(Bihar hairy caterpillar), Helicoverpa armigera (cotton<br />
bollworm) and Holotrichia consanguinea (white grub) were<br />
collected from infested brinjal shoots/fruits, okra fruits,<br />
cabbage leaves, chickpea field and upper soil layer (up to 30<br />
cm depth) of sugarcane fields, respectively. Whereas, the larvae<br />
of Galleria mellonella (greater wax moth), Corcyra<br />
cephalonica (rice meal moth) and Bombyx mori (silkworm)<br />
were reared in laboratory and used in laboratory pathogenicity<br />
experiment (Table 1).<br />
Filter paper impregnation method was used by exposing<br />
host insects (except white grubs) on filter paper at the bottom<br />
of petri plate (dia. 100 mm) or specimen tube (dia. 37 mm;<br />
height 100 mm). The nematode concentrations at a rate of 0,<br />
10, 25, 50, 75, 100, 200, 300, 400 and 500 IJs/larva was distributed<br />
over the filter paper and 10 healthy larvae were introduced in<br />
each petri plate, covered with lid and kept at room temperature<br />
(30±2 o C). The lethal effect of nematode concentration was<br />
checked and per cent larval mortality was recorded at every<br />
24 h interval up to 3 to 7 days. H. armigera larva was treated<br />
singly in specimen tube. Cannibalism among P. brassicae was<br />
observed when larvae were introduced in bigger petri plates<br />
and therefore, pathogenicity was repeated in small Petri dish<br />
(dia. 40 mm) in which single larva of P. brassicae was confined<br />
and treated with a predefined nematode concentration. In case<br />
of white grub, soil column assay was conducted by placing a<br />
single grub in specimen tube filled with sterile moist soil (15%<br />
moisture w/w) to a depth of 40 mm. The grubs were allowed to<br />
acclimatize at room temperature for 24 h prior to exposure of<br />
nematode concentrations. The pathogenicity experiment on<br />
H. consanguinea was repeated twice as highly variable results<br />
were observed in earlier experiment. There were 10 treatments<br />
with four replicates per treatment whereas in P. brassicae and<br />
H. consanguinea pathogenicity, each treatment had 40<br />
replications.<br />
Further, dead cadavers were placed on modified White<br />
traps, emerging progeny were harvested within 2 weeks of<br />
infection.<br />
The per cent mortality of insect larvae was first arcsine<br />
transformed before analysis of ANOVA. The means were
PAL et al., Pathogenicity and Mass Production of Entomopathogenic Nematode, Heterohabditis indica 39<br />
separated using Least Significant Difference (LSD). The<br />
differences between treatments were considered significant<br />
at P < 0.05.<br />
RESULTS AND DISCUSSION<br />
The results showed that most susceptible host insects<br />
were C. cephalonica and G. mellonella while the poorest one<br />
was Holotrichia sp. (Table 2). Absolute mortality of C.<br />
cephalonica/L. orbonalis and G. mellonella/E. vittella were<br />
obtained at 72 and 120 h of treatment, respectively at different<br />
concentration of IJs/larva. More than 95% larval mortality<br />
was observed in C. cephalonica and H. indica was very<br />
efficient and caused absolute mortality of C. cephalonica at a<br />
dose of 100 IJs/larva at 48 h whereas Karunakar, et al., 1999<br />
and Zaki, et al., 2000 achieved the same level of kill at 37.6 and<br />
96 h, respectively. At 48 h of treatment application more than<br />
95% larval mortality was observed in L. orbonalis, and = 85%<br />
mortality in G. mellonella. Hussaini et al. (2002) reported<br />
maximum mortality of L. orbonalis at an inoculum level of 50<br />
IJs/larva within 48 to 72 h of exposure of H. indica. However,<br />
86.7% mortality was obtained in E. vittella (except dosage 10,<br />
25 and 50 IJs/larva) at 96 h. while, no larval mortality was<br />
recorded in control. In case of Holotrichia consanginea,<br />
erratic results were observed but 26.7 to 66.7% mortality was<br />
noted down within first 48 h of treatment which increased to<br />
60 to 100% at 168 h. Kumar, et al., 2003 reported significant<br />
mortality (17 to 89%) by inoculation of Heterorhabditis indica<br />
³ 50 IJs/100 g soil within 48 h whereas 50% mortality was<br />
observed at 72 h of exposure to 100 IJs whereas, Hussaini, et<br />
al., 2005b found 30-40% mortality of white grub by S.<br />
carpocapsae and S. abbasi whereas H. indica and H.<br />
bacteriophora caused 20 to 25% mortality at 10 days of<br />
nematode treatment.<br />
In S. litura, 12.5 to 60% mortality was recorded at 48 h of<br />
exposure of different concentrations of H. indica. However at<br />
96 h, 100% mortality was obtained at dosage of 100 and more<br />
than 400 IJs/larva whereas 87.5% mortality was obtained at a<br />
dose of 25 IJs/larva.<br />
Bombyx mori and Plutella xylostella were found highly<br />
susceptible, in which absolute mortality was observed at<br />
dosages ³ 25 and ³ 50 IJs/larva, respectively at 48 h. Whereas<br />
at 24 h, 17.5 to 87.5% and 27.5 to 90% mortalities were recorded<br />
at all dosages, respectively. Singh and Shinde, 2002 and<br />
Saravanapriya and Subramanian, 2007 reported final instar<br />
larvae of P. xylostella as most susceptible stage with an LC 50<br />
value of 9 and 2 IJs/larva, respectively. While, Zaki, et al.,<br />
2000 obtained 100% mortality of third instar larvae of B. mori<br />
at 72 h.<br />
Highly variable mortalities were observed in S. obliqua<br />
and P. brassicae to which nematode dosages appeared to<br />
have less effect on per cent mortality. Highest mortality of<br />
82.5% was recorded in S. obliqua at 500 IJs/larva whereas<br />
56.7% mortality occurred at dosages of 300 and 500 IJs/larva<br />
at 96 h. At 48 h, mortality of 25 to 72.5% and 3.3 to 33.33% were<br />
caused at all dosages. Ali, et al., 2005d reported S. obliqua as<br />
poor host for nematode<br />
In case of H. armigera, absolute mortality was recorded<br />
at dose of ³ 75 IJs/larva at 72 h. More than 73% mortality was<br />
noted at dose ³ 50 IJs/larva at 48 h. The result corroborates<br />
the report of Jothi and Mehta, 2006 who achieved 100%<br />
mortality of H. armigera by H. indica at an inoculum of 80 IJs/<br />
larva.<br />
The results showed that G. mellonella (50,000–200,000<br />
IJ/Larva) produced maximum IJ followed by H. armigera<br />
(50,000–150,000 IJ/Larva) could be a potential host for H.<br />
indica production. The next effective host for the maximum IJ<br />
production was H. consanguinea (20,000–100,000 IJ/Larva) ><br />
S. litura and C. cephalonica (10,000–30,000 IJ/Larva) > E.<br />
vittella (3,000-20,000 IJ/Larva) > P. brassicae (10,000-15,000<br />
IJ/Larva). Comparatively, rearing of C. cephalonica (10,000–<br />
30,000 IJ/Larva) and are easy and require less labour and<br />
contamination chances are less. Nevertheless, proper care<br />
and regular monitoring are crucial in rearing these insects.<br />
The minimum IJ production was recorded in P. xylostella larvae<br />
(100-2000 IJ/Larva) followed by B. mori (2000-3000 IJ/Larva).<br />
This is in contradictory reports of Pribhuraj, et al., 2003 who<br />
reported B. mori as a suitable host for production of an<br />
unidentified Heterorhabditis sp. However, present study<br />
corroborates the report of Zaki, et al., 2000 about unsuitability<br />
of fifth instar B. mori for in vivo mass culturing; however a<br />
maximum of 2,750 juveniles of H. bacteriophora was harvested<br />
from third instar larva. The above results are corroborate with<br />
the findings of Ali, et al., 2005c; Hussaini, 2003.<br />
Table 1.<br />
Insect pests of various crops against which pathogenicity of Heterorhabditis indica was tested.<br />
Scientific name Common name Order: Family Commodity<br />
Leucinodes orbonalis Early shoot and fruit borer Lep.: Crambidae Eggplant/brinjal<br />
Earias vittella Spotted bollworm Lep.: Noctuidae Bhindi, cotton<br />
Spodoptera litura Tobacco cutworm Lep.: Noctuidae Tobacco, tomato<br />
Helicoverpa armigera Cotton bollworm / legume pod borer Lep.: Noctuidae Cotton, vegetables, pulses, cereals<br />
Plutella xylostella Diamondback moth Lep.: Plutellidae Crucifers<br />
Pieris brassicae Cabbage butterfly Lep.: Pieridae Cabbage<br />
Galleria mellonella Greater wax moth Lep.: Pyralidae Honey comb<br />
Corcyra cephalonica Rice meal moth Lep.: Pyralidae Stored grains<br />
Bombyx mori Mulberry silkworm Lep.: Bombycidae Mulberry<br />
Holotrichia consanguinea White grub Col.: Scarabaeidae Sugarcane<br />
Spilosoma obliqua Bihar hairy caterpillar Lep.: Arctiidae Vegetables; crucifers
40 Trends in Biosciences 5 (1), <strong>2012</strong><br />
Table 2. Pathogenicity of Heterorhabditis indica against lepidopteran and coleopteran insects at different dosages (10, 25,<br />
50, 75, 100 to 500 IJs/larva) and progeny produced (mass production of IJs)<br />
Insects<br />
Per cent mortality of insect larva/grub hours after inoculation<br />
(instar tested) 24 48 72 96<br />
Corcyra cephalonica (L5) 10 to 80% mortality at 95% mortality at 100% mortality at 50<br />
all dosages<br />
50 IJs/larva)<br />
IJs/larva<br />
Galleria mellonella (L5) 10 to 95% mortality at<br />
all dosages<br />
Leucinodes orbonalis (L4 and<br />
L5)<br />
Earias vittella (L4 and L5)<br />
Holotrichia consanguinea (G4<br />
and G5)<br />
Spodoptera litura (L4)<br />
Helicoverpa armigera (L4)<br />
Spilosoma obliqua (L4)<br />
10 to 92.5% mortality<br />
at all dosages<br />
60% mortality at <br />
300 IJs/larva<br />
Bombyx mori (L5) 17.5 to 87.5%<br />
mortality at all dosages<br />
Plutella xylostella (L5)<br />
Pieris brassicae (L4)<br />
27.5 to 90% mortality<br />
at all dosages<br />
85% mortality at 50<br />
IJs/larva and above<br />
dosage<br />
95% mortality at <br />
75 IJs/larva<br />
50% mortality at all<br />
dosages<br />
26.7 to 66.7%<br />
mortality at all dosages<br />
12.5 to 60% mortality<br />
at all dosages<br />
73.3% mortality at <br />
50 IJs/larva<br />
25 to 77.5% mortality<br />
at all dosages<br />
92.5% mortality at 10<br />
IJs/larva; 100%<br />
mortality at 25<br />
IJs/larva<br />
85 and 95% mortality<br />
at 10 and 25 IJs/larva,<br />
resp.; 100% mortality<br />
at 50 IJs/larva<br />
3.3 to 33.3% mortality<br />
at all dosages<br />
100% mortality at 25<br />
IJs/larva<br />
47.5% mortality at <br />
50 IJs/larva<br />
100% mortality at 75<br />
IJs/larva<br />
80 to 95% at dosage 10,<br />
25 and 75 IJs/larva;<br />
100% mortality at other<br />
dosages<br />
86.7 to 96.7% mortality<br />
at 10 to 75 IJs/larva;<br />
100% mortality at other<br />
dosages<br />
53.3 to 80% mortality at<br />
all dosages<br />
87.5% mortality at <br />
25 IJs/larva; 100%<br />
mortality at 100 and <br />
400 IJs/larva<br />
Highest mortality of<br />
82.5% at 500 IJs/larva<br />
Highest mortality of<br />
56.7% at dosage of 300<br />
and 500 IJs/larva<br />
Progeny produced<br />
(IJs/larva)<br />
10,000 – 30,000<br />
50,000 – 200,000<br />
5,000 – 15,000<br />
3,000 – 20,000<br />
20,000 – 100,000<br />
10,000 – 30,000<br />
50,000 – 150,000<br />
5,000 – 10,000<br />
2,000 – 3,000<br />
100 – 2,000<br />
10,000 – 15,000<br />
ACKNOWLEDGEMENT<br />
The authors are very thankful to Dr. Abid Hussain and<br />
Dr. Milan Prasad for their valuable time and suggestion during<br />
research work. Authors also thankful to ICAR funded Research<br />
Project “Niche Area Excellence Programme” for their financial<br />
support.<br />
LITERATURE CITED<br />
Ali, S.S. Ahmad, R, Hussain, M.A. and Pervez, R. 2005d. Pest<br />
Management in Pulses through Entomopathogenic Nematodes.<br />
Indian Institute of Pulses Research, Kanpur, India, pp. 58.<br />
Hussaini, S.S. 2003. Progress of research work on entomopathogenic<br />
nematodes in India, pp. 27-68. In: Current Status of Research on<br />
Entomopathogenic Nematodes in India (eds. S.S. Hussaini, R.J.<br />
Rabindra and M. Nagesh). Project Directorate of Biological Control,<br />
Bangalore, India.<br />
Jothi, B.D., Mehta, U.K. 2006. Pathogenicity of three species of EPN<br />
against cotton bollworm Helicoverpa armigera Hub. Entomon, 31:<br />
259-266.<br />
Karunakar, G., Easwaramoorthy, S., David, H. 1999. Susceptibility of<br />
nine lepidopteran insects to Steinernema glaseri, S. feltiae and<br />
Heterorhabditis indicus infection. International Journal of<br />
Nematology, 9: 68-71.<br />
Kaya, H.K. and Stock, S.P. 1997. Techniques in insect nematology, In:<br />
Manual of Techniques in Insect Pathology (ed. LA Lacey). Academic<br />
Press, San Diego, CA, pp. 281-324.<br />
Kumar, M.R., Parihar, A., Siddiqui, A.U. 2003. Effects of<br />
entomopathogenic nematode, Heterorhabditis sp., on Spodoptera<br />
litura. Annals of Plant Protection Sciences, 11: 406-407.<br />
Prabhuraj, A., Viraktamath, C.A., Kumar, A.R.V. 2003. Evaluation of<br />
silkworm larva and root grub for the in vivo mass production of<br />
entomopathogenic nematodes. Indian Journal of Entomology, 65:<br />
34-37.<br />
Saravanapriya, B., Subramanian, S. 2007. Pathogenicity of EPN to<br />
certain foliar insect pests. Annals of Plant Protection Sciences, 15:<br />
219-222.<br />
Singh, N.P., Shinde, S. 2002. Relative susceptibility of different life<br />
stages of Plutella xylostella (L.) to entomopathogenic nematode,<br />
Heterorhabditis bacteriophora Poinar. Entomon, 27: 281-285.<br />
Zaki, F.A., Mantoo, M.A., Gul, S. 2000. In: vivo culturing of<br />
entomopathogenic nematodes Heterorhabditis bacteriophora and<br />
Steinernema carpocapsae on silkworm (Bombyx mori) and their<br />
effect on some lepidopterous insects. Indian Journal of Nematology,<br />
30: 1-4.<br />
Recieved on 29-2-<strong>2012</strong> Accepted on 30.3.<strong>2012</strong>
Trends in Biosciences 5 (1): 41-44, <strong>2012</strong><br />
Bioefficacy of Cow Urine Decoction (CUDs) of Different Plants on Population Growth<br />
of Lipaphis erysimi (Kalt.) on B. juncea under Field Conditions<br />
WAJID HASAN* AND M.S. ANSARI<br />
Department of Plant Protection, Faculty of Agricultural Sciences, Aligarh Muslim University,<br />
Aligarh-202002 (U.P.)<br />
*e-mail: entowajid@gmail.com<br />
ABSTRACT<br />
The per cent population growth of L. erysimi after two sprays of<br />
CUDs was lowest in neem oil 0.005% (-56.2) followed by A.<br />
indica (-20.9), neem oil 0.003% (-18.6), A. squamosa (3.1), C.<br />
citriodora (8.9), P. hysterophorus (10.7), A. cepa (15.4), A. sativum<br />
(24.4), C. papaya (27.5), C. gigantea (66.5) and highest in<br />
untreated control (76.3) in timely sown crop. While in late<br />
sown crop it was lowest in Neem oil 0.005% (-15.1) followed by<br />
neem oil 0.003% (-14.5), A. cepa (-10), A. indica (-7.8), A. sativum<br />
(-6.7), A. squamosa (-1.9), C. gigantea (6.2), C. papaya (7.7), C.<br />
citriodora (7.7), P. hysterophorus (7.8) and highest in untreated<br />
control (24.7). On the basis of percent population growth, A.<br />
indica was the best among all CUDs used.<br />
Key words<br />
Cow urine decoctions, lipaphis erysimi, bioefficacy<br />
Out of various insect-pests associated with Rapeseed-<br />
Mustard, Lipaphis erysimi Kalt. is the key pest which feeds<br />
by sucking sap from its host and damage to the crop ranging<br />
from 9 to 96% and reach up to 100% (Bakhetia, 1986; Singh<br />
and Sachan, 1999; Parmar, et al., 2007; Singh and Sharma,<br />
2002). An estimate revealed that 2, 121 plant species possess<br />
pest control properties, out of which 1,005 species have<br />
insecticidal, 384 antifeedant, 297 repellents, 27 attractants and<br />
31 growth inhibitory properties (Reheja, 1998). In the era of<br />
environment awareness, more emphasis is given to the natural<br />
insecticides, as they are biodegradable and less harmful to<br />
environment. Considering the economic importance of the<br />
pest and to reduce the poisonous effect of chemical<br />
insecticides to natural enemies, cow urine decoctions (CUD)<br />
of botanicals were tried for its efficacy against mustard aphid,<br />
L. erysimi by the keeping in view the finding of Gupta, 2005;<br />
Purwar and Yadav, 2004; Hasan and Singh, 2008, 2009 and<br />
Manglik, 2002. Biopesticide applications that conserve<br />
biological activity post-treatment, provide additional<br />
suppression of pest populations. Use of biopesticides that<br />
can be used when pollinators are present, would allow<br />
improved IPM practices by replacing prophylactic and more<br />
harmful cover sprays with a program that emphasizes treatment<br />
based on economic thresholds and conserves beneficial<br />
biological activity (Hasan and Singh, 2009). The present<br />
investigation was undertaken to study the bioefficacy of cow<br />
urine decoctions (CUD) @5% of plants viz., Allium cepa,<br />
Allium sativum, Annona squamosa, Azadirachta indica,<br />
Cariaca papaya, Parthenium hysterophorus, Calotropis<br />
gigantea, Cymbopogon citriodora and neem oil (@ 0.005<br />
and 0.003%) were evaluated against nymphs of L. erysimi<br />
under filed conditions.<br />
MATERIALS AND METHODS<br />
The experiments were conducted during 2010-11 at<br />
Ramgarh Panjeepur village of Aligarh district of U.P. to test<br />
the bioefficacy of cow urine decoctions (CUD) of plants viz.,<br />
A. cepa, A. sativum, A. squamosa, A. indica, C. papaya, P.<br />
hysterophorus, C. gigantea, C. citriodora @5% and neem oil<br />
(@ 0.005 & 0.003%) were evaluated against per cent population<br />
growth of L. erysimi under field conditions. Seed of Indian<br />
mustard (B. juncea cv. chinkara NV-4102) was sown on 18<br />
October, 2010 (timely sown) and 24 November, 2010 (late sown).<br />
Experiments were laid out in randomized block design (RBD)<br />
with five replications. Standard recommended cultural<br />
operations were followed to raise the healthy crop of Indian<br />
mustard except the plant protection measurers. To prepare<br />
the cow urine decoctions (CUD) of 250 gm leaves were added<br />
in 500 ml of cow urine and allow it to boil slowly up to half<br />
original volume was evaporated than it was cooled. After that<br />
material was filtered with muslin cloth than filled in bottle and<br />
stored into the cool and dry place. Two sprays were conducted<br />
at 12 days intervals with knapsack sprayer. The number of<br />
aphids was counted on 10 cm apical central shoot of<br />
inflorescence on 10 tagged plants in each replication before<br />
spray, one, three, five and seven days after spray.<br />
RESULTS AND DISCUSSION<br />
Tables 1 and 2 revealed that the per cent population<br />
growth of L. erysimi after two sprays of CUDs was lowest in<br />
neem oil 0.005% (-56.2) followed by A. indica (-20.9), neem oil<br />
0.003% (-18.6), A. squamosa (3.1), C. citriodora (8.9), P.<br />
hysterophorus (10.7), A. cepa (15.4), A. sativum (24.4), C.<br />
papaya (27.5), C. gigantea (66.5) and highest in untreated<br />
control (76.3) in timely sown crop. While in late sown crop it<br />
was lowest in neem oil 0.005% (-15.1) followed by neem oil<br />
0.003% (-14.5), A. cepa (-10), A. indica (-7.8), A. sativum (-6.7),<br />
A. squamosa (-1.9), C. gigantea (6.2), C. papaya (7.7), C.<br />
citriodora (7.7), P. hysterophorus (7.8) and highest in untreated<br />
control (24.7). On the basis of per cent population growth, A.<br />
indica was the best among all CUDs used.<br />
The highest mean yield i.e. 1925.83 Kg./ha was recorded
42 Trends in Biosciences 5 (1), <strong>2012</strong><br />
Table 1.<br />
Bioefficacy of cow urine decoction (CUDs) of different plants on percent population growth of L. erysimi under field<br />
conditions (Timely sown)<br />
Treatments<br />
First spray<br />
Second spray<br />
Population<br />
Before<br />
spray<br />
One<br />
DAS<br />
Three<br />
DAS<br />
Five<br />
DAS<br />
Seven<br />
DAS<br />
Percent<br />
increase<br />
Before<br />
spray<br />
One<br />
DAS<br />
Three<br />
DAS<br />
Five<br />
DAS<br />
Seven<br />
DAS<br />
Percent<br />
increase<br />
Growth<br />
(%)<br />
1 2 3 4 5 6 7 8 9 10 11 12 13 14<br />
Allium sativum<br />
72 72 68 78 92<br />
134 126 152 150 162<br />
27.8<br />
(Garlic)<br />
(8.43) (8.43) (8.19) (8.79) (9.46)<br />
(11.40) (11.01) (12.08) (12.03) (12.56)<br />
20.9 24.4<br />
Cariaca papaya 68 73 81 88 102<br />
200 190 206 202 210<br />
50<br />
(Papaya)<br />
(8.23) (8.53) (8.90) (9.35) (10.19)<br />
(14.11) (13.72) (14.29) (14.19) (14.46)<br />
5 27.5<br />
Calotropis gigantean 66 71 88 126 142<br />
192 188 194 198 226<br />
115.2<br />
(Milk weed)<br />
(8.09) (8.39) (9.36) (11.21) (11.91)<br />
(13.81) (13.69) (13.86) (13.95) (14.95)<br />
17.7 66.5<br />
Parthenium<br />
hysterophorus<br />
62 70 72 72 78 25.8 176 154 134 132 168 -4.5 10.7<br />
(Congress grass) (7.85) (8.36) (8.48) (8.46) (8.76)<br />
(13.24) (12.40) (11.57) (11.48) (12.94)<br />
Azadirachta indica 70 66 50 46 52<br />
200 208 178 168 168<br />
-25.7<br />
(Neem)<br />
(8.24) (8.04) (6.96) (6.71) (7.15)<br />
(14.10) (14.39) (13.31) (12.94) (12.95)<br />
-16 -20.9<br />
Allium cepa<br />
62 64 68 74 84<br />
214 226 216 198 204<br />
35.5<br />
(Onion)<br />
(7.79) (8.0) (8.18) (8.58) (9.15)<br />
(14.59) (15.00) (14.63) (14.03) (14.21)<br />
-4.7 15.4<br />
Annona squamosa 80 78 80 84 92<br />
246 232 212 208 224<br />
15<br />
(Sharifa)<br />
(8.85) (7.96) (8.91) (9.15) (9.56)<br />
(15.64) (15.19) (14.52) (14.35) (14.88)<br />
-8.9 3.1<br />
Cymbopogon citriodora 68 75 71 82 92<br />
238 222 214 200 196<br />
35.3<br />
(Lamon grass) (8.23) (8.72) (8.41) (9.03) (9.57)<br />
(15.33) (14.77) (14.55) (14.05) (13.95)<br />
-17.6 8.9<br />
Neem oil (0.005%) 80 73 63 16 26<br />
176 163 108 62 97<br />
-67.5<br />
(Neemerin)<br />
(8.92) (8.64) (7.93) (3.95) (5.08)<br />
(13.25) (12.74) (10.38) (7.84) (9.86)<br />
-44.9 -56.2<br />
Neem oil (0.003%) 70 60 42 12 74<br />
196 148 102 104 112<br />
5.7<br />
(Neemerin)<br />
(8.36) (7.73) (6.31) (3.38) (7.77)<br />
(13.98) (12.16) (10.08) (10.19) (10.58)<br />
-42.9 -18.6<br />
Untreated<br />
70 86 108 142 154<br />
202 213 234 240 268<br />
120<br />
(8.31) (9.25) (10.33) (11.91) (12.39)<br />
(14.09) (14.47) (15.17) (15.42) (16.29)<br />
32.67 76.3<br />
CD (P?0.01) 1.681 1.568 1.761 1.334 2.698 2.34 2.372 2.481 2.494 2.459<br />
CD (P?0.05) 1.256 1.172 1.316 0.997 2.016 1.75 1.773 1.854 1.864 1.837<br />
SE±m 0.439 0.410 0.460 0.349 0.705 0.61 0.620 0.649 0.652 0.643<br />
*Figures in parenthesis indicate square root transformation, DAS= Days After Spray,<br />
Population Growth (%)= (column 7 + column 13)/2, Percent increase =percent of (column 6- column 2)<br />
in plots treated with neem oil (0.005) followed with neem oil<br />
(0.003) 1885.00, 1825.16 Kg./ha with CUDs of A. indica, 1816.16<br />
Kg./ha with CUDs of A. squamosa, 1782.66 Kg./ha with CUDs<br />
of A. sativum, 1742.83 Kg./ha with CUDs of A. cepa, 1742.33<br />
Kg./ha with CUDs of C. citriodora, 1738.16 Kg./ha with CUDs<br />
of C. gigantea, 1722.50 Kg./ha with CUDs of P. hysterophorus,<br />
1705.50 Kg./ha with CUDs of C. papaya and lowest 1654.16<br />
Kg./ha in untreated control (Table 3). The mean pooled yield<br />
was higher in timely sown crop (1928.18 Kg./ha) and lower in<br />
late sown crop (1624.60 Kg./ha).<br />
Similar results were recorded by Hasan and Singh, 2008.<br />
Gupta, et al., 2005 reported the efficacy of neem in combination<br />
with cow urine against mustard aphid. Sachan and Bansal,<br />
1975 reported that the first, second, third and fourth nymphal<br />
stages last for 1-2, 2, 2, 3 days respectively and wingless<br />
females produce 70-87 nymphs in the lifetime while winged<br />
females produce 31-40 nymphs. Rai and Gupta, 2002 studied<br />
the effect of neem [Azdirachta indica] kernel extract in cow<br />
urine (NSKE; 30 ml/litre), neem oil (1.0%), dimethoate (0.045%),<br />
NSKE + dimethoate (0.03%), NSKE (3.0%) + dimethoate<br />
(0.03%), neem oil (1.0%) + dimethoate (0.03%), and neem<br />
kernel extract in cow butter milk (NCBM; 20 ml/litre) against L.<br />
erysimi on Brassica juncea (cv. Pusa Bold). Purwar, 2001<br />
reported that in soybean that cow urine in 5%, 10%, 25% and<br />
75% has some suppressing effect on larval population of<br />
defoliators (Manglik, 2002). Abebe, 1999 observed that cow<br />
urine 10% and cow dung ash is effective against tobacco<br />
caterpillar (S. litura), caster semilooper (P. orichalcea) of<br />
soybean. Hasan and Singh, 2008 and 2009 reported the<br />
aphidicidal activity of cow urine decoctions of botanicals<br />
against mustard aphid, Lipaphis erysimi Kalt. and coriander<br />
aphid, Hyadaphis coriandri (Das.). This information would<br />
support growers wanting to transition efforts to reduce their<br />
use of higher risk pesticides. Thus it was concluded that all<br />
the above CUDs were found to be less suitable for growth<br />
and development of aphid with respect to the control.<br />
ACKNOWLEDGEMENT<br />
The research work has been sponsored by the<br />
University Grant Commission under the UGC DR. D.S. Kothari<br />
Post Doctoral Fellowship Scheme.
Table 2.<br />
HASAN AND ANSARI, Bioefficacy of Cow Urine Decoction (CUDs) of Different Plants on Population Growth 43<br />
Bioefficacy of cow urine decoction (CUDs) of different plants on percent population growth of L. erysimi under field<br />
conditions (Late Sown)<br />
Treatments<br />
First spray<br />
Second spray<br />
Population<br />
Before<br />
spray<br />
One<br />
DAS<br />
Three<br />
DAS<br />
Five<br />
DAS<br />
Seven<br />
DAS<br />
Percent<br />
increase<br />
Before<br />
spray<br />
One<br />
DAS<br />
Three<br />
DAS<br />
Five<br />
DAS<br />
Seven<br />
DAS<br />
Percent<br />
increase<br />
Growth<br />
(%)<br />
1 2 3 4 5 6 7 8 9 10 11 12 13 14<br />
Allium sativum<br />
256 244 232 245 240<br />
480 442 430 404 446<br />
-6.2<br />
(Garlic)<br />
(15.97) (15.58) (15.18) (15.65) (15.49)<br />
(21.84) (20.96) (20.68) (20.05) (21.07)<br />
-7.1 -6.7<br />
Cariaca papaya 240 252 240 262 282<br />
500 476 458 362 391<br />
17.5<br />
(Papaya)<br />
(15.45) (15.83) (15.44) (16.14) (16.75)<br />
(22.13) (21.56) (21.21) (18.75) (19.54)<br />
-2.1 7.7<br />
Calotropis gigantean 250 252 244 238 282<br />
446 426 396 418 444<br />
12.8<br />
(Milk weed)<br />
(15.78) (15.81) (15.57) (15.37) (16.79)<br />
(21.08) (20.60) (19.85) (20.39) (21.00)<br />
-0.4 6.2<br />
Parthenium<br />
hysterophorus<br />
200 218 232 230 230 15 370 351 334 354 372 0.5 7.8<br />
(Congress grass) (14.09) (14.69) (15.17) (15.05) (15.07)<br />
(19.14) (18.64) (18.20) (18.72) (19.21)<br />
Azadirachta indica 164 182 190 168 152<br />
300 270 240 266 275<br />
-7.3<br />
(Neem)<br />
(12.70) (13.49) (13.76) (12.88) (12.32)<br />
(17.25) (16.38) (15.48) (16.31) (16.58)<br />
-8.3 -7.8<br />
Allium cepa<br />
202 178 190 152 176<br />
310 285 246 228 188<br />
-12.9<br />
(Onion)<br />
(14.19) (13.30) (13.76) (12.25) (13.20)<br />
(17.53) (16.80) (15.65) (15.07) (13.57)<br />
-7.1 -10<br />
Annona squamosa 210 196 186 176 204<br />
300 296 292 272 297<br />
-2.8<br />
(Sharifa)<br />
(14.45) (13.97) (13.62) (13.25) (14.21)<br />
(17.32) (17.15) (17.05) (16.45) (17.23)<br />
-1 -1.9<br />
Cymbopogon<br />
citriodora (Lamon 191 163 184 196 208 8.9 250 228 248 254 266 6.4 7.7<br />
grass)<br />
(13.78) (12.68) (13.54) (13.95) (14.37)<br />
(15.78) (15.06) (12.38) (15.90) (16.28)<br />
Neem oil (0.005%) 170 150 158 132 142<br />
220 196 156 196 190<br />
-16.5<br />
(Neemerin)<br />
(13.04) (12.24) (12.57) (11.46) (11.89)<br />
(14.81) (13.95) (17.70) (14.00) (13.78)<br />
-13.6 -15.1<br />
Neem oil (0.003%) 230 210 182 158 195<br />
190 184 150 104 164<br />
-15.2<br />
(Neemerin)<br />
(15.14) (14.47) (13.45) (12.52) (13.00)<br />
(13.78) (13.51) (12.18) (10.19) (12.81)<br />
-13.7 -14.5<br />
Untreated<br />
240 254 260 290 310<br />
305 322 330 326 382<br />
29.2<br />
(15.45) (15.90) (16.08) (17.03) (17.6)<br />
(17.39) (17.87) (18.02) (17.98) (19.49)<br />
20.2 24.7<br />
CD (P?0.01) 2.079 2.068 1.901 2.525 2.835 3.292 3.422 3.237 2.908 3.329<br />
CD (P?0.05) 1.554 1.545 1.434 1.887 2.119 2.459 2.558 2.419 2.173 2.488<br />
SE±m 0.544 0.541 0.502 0.660 0.741 0.861 0.895 0.846 0.760 0.870<br />
*Figures in parenthesis indicate square root transformation, DAS= Days After Spray,<br />
Population Growth (%)= (column 7 + column 13)/2, Percent increase =percent of (column 6- column 2)<br />
Table 3.<br />
Effect of cow urine decoction (CUDs) of different plants and date of sowing on yield of B. juncea<br />
Treatments<br />
Yield (Kg./ha)<br />
Timely Sown Late Sown Mean<br />
Allium sativum (Garlic) 1935.33 (44.00) 1630.00 (40.39) 1782.66 (42.19)<br />
Cariaca papaya (Papaya) 1840.33 (42.91) 1570.66 (39.64) 1705.50 (41.28)<br />
Calotropis gigantean (Milk weed) 1870.66 (43.26) 1605.66 (40.08) 1738.16 (41.67)<br />
Parthenium hysterophorus (Congress grass) 1855.00 (43.08) 1590.00 (39.89) 1722.50 (41.49)<br />
Azadirachta indica (Neem) 1989.66 (44.62) 1660.66 (40.76) 1825.16 (42.73)<br />
Allium cepa (Onion) 1875.33 (43.32) 1610.33 (40.14) 1742.83(41.74)<br />
Annona squamosa (Sharifa) 1981.33 (44.52) 1651.00 (40.64) 1816.16 (42.61)<br />
Cymbopogon citriodora (Lamon grass) 1881.00 (43.38) 1603.66 (40.06) 1742.33 (41.73)<br />
Neem oil (0.005%) (Neemerin) 2122.33 (46.08) 1729.33 (41.59) 1925.83 (43.88)<br />
Neem oil (0.003%) (Neemerin) 2079.66 (45.61) 1690.33 (41.12) 1885.00 (43.42)<br />
Untreated 1779.33 (42.19) 1529.00 (39.11) 1654.16 (40.67)<br />
Mean 1928.18 (43.91) 1624.60 (40.31) 1776.39 (42.14)<br />
Treatments (a) Date of sown (b) axb<br />
CD (P?0.01) 0.048 0.021 0.068<br />
CD (P?0.05) 0.036 0.015 0.051<br />
SE±m 0.013 0.005 0.018<br />
*Figures in parenthesis indicate square root transformation<br />
LITERATURE CITED<br />
Abede, M. 1999. Comparison of newer and traditional methods to<br />
control the insect pest of soybean. M. Sc. Thesis, G.B.P.U.A.&T.,<br />
Pantnagar, p.89.<br />
Bakhetia, D.R.C. 1986. Control of insect pest of toria, sarson & rai.<br />
Indian Farming, 36: 43-44.<br />
Gupta, M.P. 2005. Efficacy of neem in combination with cow urine<br />
against mustard aphid and its effect on coccinellid predators. Natural<br />
Product Radiance, 4(2): 102-106.
4 4 Trends in Biosciences 5 (1), <strong>2012</strong><br />
Hasan Wajid and Singh, C. P. 2008. Bioeffecacy of cow urine decoctions<br />
of botanicals against mustard aphid, Lipaphis erysimi (Kalt.) and<br />
coriander aphid, Hyadaphis coriandri (Das.) (Homoptera:<br />
Aphididae). Journal of Aphidology, 22(1&2): 41-46.<br />
Hasan Wajid and Singh, C.P. 2009. Efficacy of cow urine decoctions of<br />
botanicals against mustard saw fly. Annals of Plant Protection<br />
Sciences, 17(1): 234-235.<br />
Manglik, G. 2002. Field efficacy of Cow urine in comparison to chemical<br />
and Bio pesticide against insect pests of soybean. M.SC. Thesis,<br />
G.B.P.U.A. & T., Pantnagar. pp. 86.<br />
Parmar, G.M., Kapadia, M.N., Jadav, N.B. and Zizala, V.J. 2007. Avoidable<br />
losses due to Lipaphis erysimi (Kalt.) in mustard. Asian Journal of<br />
Bio Science, 2(1/2): 73-75<br />
Purwar, J.P. and Yadav, S.K. 2004. Evaluation of age related response<br />
of Spilarctia oblique (Walker) to biorational insecticides. Annals<br />
of Plant Protection Sciences, 12(20): 271-273.<br />
Purwar, J.P. 2001. Evaluation of bioregional pesticide against major<br />
insect pests of soybean. M.SC. Thesis, G.B.P.U.A. & T., Pantnagar.<br />
p.108.<br />
Raheja, A.K. 1998. Role of crop protection chemicals in IPM. Pestology,<br />
22 (4): 6-11.<br />
Rai, H.S. and Gupta, M.P. 2002. Integrated management of mustard<br />
aphid, Lipaphis erysimi Kalt. Annals of Plant Protection Sciences,<br />
14(1): 76-79.<br />
Sachan, J.N. and Bansal, O.P. 1975. Influence of Different Host Plants<br />
on the Biology of Mustard Aphid, Lipaphis erysimi Kalt. Indian<br />
Journal of Entomology, 37(4): 420-424.<br />
Singh, C.P. and Sachan, G.C. 1999. Ecofriendly management of Lipaphis<br />
erysimi kalt. in Brassica carinata. Proceeding of 10 th International<br />
Rapeseed Conference Canberra, Australia.<br />
Singh, Y.P. and Sharma, K.C. 2002. Integrated approach to manage the<br />
mustard aphid, Lipaphis erysimi (Kaltenbach) (Homoptera:<br />
Aphididae) in oilseed Brassica crops- A review. Journal of<br />
Amphibiology, 16:77-88.<br />
Vaibhav Mathur, Singh, C. P. and Hasan Wajid. 2011. Effect of cow<br />
urine decoction of some plants on the biology of Lipaphis erysimi<br />
(Kalt.). Proceedings of National Conference on 3 rd Congress on<br />
Insect Science (April 18-20, 2011) held at Department of<br />
Entomology, Punjab Agricultural University, Ludhiana. pp. 77.<br />
Recieved on 17-3-<strong>2012</strong> Accepted on 05.4.<strong>2012</strong>
Trends in Biosciences 5 (1): 45-46, <strong>2012</strong><br />
Effect of Different Formulations of Bacillus thuringiensis on Larval Mortality of<br />
Diacrisia obliqua<br />
ZEENAT WARSI AND AJAY CAPOOR<br />
Department of Zoology, Agra College, Agra, U.P.<br />
ABSTRACT<br />
This study was carried out to determine the effect of commercial<br />
preparation of Bacillus thuringiensis (biocontrol agent) namely<br />
Dipel, Thuricide HP and Bactospeine against the Bihar hairy<br />
caterpillar that is Diacrisia oblique walker of the family<br />
Arctiidae belong to order Lepidoptera .Five concentrations i.e.<br />
0.05, 0.10,0.50, 0.75, and !.0% of different formulations are<br />
used against the third instar larvae of D. obliqua. All these<br />
three microbial prepration that is Dipel, Thuricide HP and<br />
Bactospeine were toxic to the test insect but Dipel proved to<br />
be most effective.<br />
Key words<br />
Mortalit, diacrisia obliqua, formulation, efficacy<br />
Many conventional insecticides such as cholorinated<br />
hydrocarbons, organophosphates, carbonates etc., were used<br />
in the controlling insect pest but, many of these insecticides<br />
are harmul to man and beneficial organism which causes<br />
ecological disturbense. Newer compound were developed<br />
which affecting mortality, growth and developmental<br />
processes in insects, such as chitin synthesis inhibitors and<br />
different formulation of Bacillus thuringiensis. Progress has<br />
been made to introduce iimproved biocontrol agents such as<br />
B.T. for controlling Lepidopteran, Coleopteran and Dipteran<br />
pest. B.T. kills insects primarily through the action of delta<br />
indotorxins which is a protenieous constituent produced<br />
during sporulation. It affects the insect midgut epithelium upon<br />
ingestion (Narayan and Jayraj, 1975).<br />
Most conventional B.T. products are based on the sub<br />
species kurstaki HD-1 introduced by Abbott in laboratory<br />
followed by Sandoz, Nova, Ecogen, Monsato for controlling<br />
lepidopteran pest. Various formulation of B.T. kurstaki sucah<br />
as Dipel ‘HD-1 Abbott) Thuricide, (HD-1 Sandoz), Biobit (HD-<br />
1 Nova), Javelin (NRD-12, Sandoz) are available for controlling<br />
the lepidoteran pest. Diacrisia obliqua Walker belonging the<br />
family Arctiidae and order Lepidoptera and commonly known<br />
as Bihar Hairy caterpillar. The population of D. obliqua started<br />
growing faster and reached an explosive stage in August 2002.<br />
A perusal of literature divulge that work done in India related<br />
to effect of B.T. formulation on D. obliqua is very secured<br />
and fragmentary. However there are some important aspects<br />
like effect of exposure period on insects mortality, effect of<br />
lethal and sub-lethal concentration of B.T. on the mortality<br />
growth and development of insects.<br />
MATERIALS AND METHODS<br />
Three commercial preparations of B.T. (Bacillus<br />
thuringiensis) namely Dipel, Thuricide HP and<br />
Bactospeine.These are commercial preparations of B.T used<br />
against the third instar larvae of D. obliqua taken from the<br />
laboratory stock. Five concentrations i.e. 0.05, 0.10, 0.50, 0.75<br />
and 1.0% of different formulations are used. Uniform size of<br />
castor plants were used and these plants were treated with<br />
each concentration of bacterial preparations by leaf dip<br />
method. In this method of treatment small and uniform size of<br />
leaves of host plant (castor plant) were treated with each<br />
concentration of particular bacterial preparations by dipping<br />
the leaf in microbial preparation of B.T.<br />
Twenty larvae were taken from laboratory stock already<br />
starved for 12 hours. After 12 hours starvation larvae were<br />
released on the treated leaves for 24 hours for feeding and<br />
after that normal food was offered to them for the rest period.<br />
Observatinos on moratlity of larvae were recorded after 24<br />
hours and continued for the period of 10 days. Moribund<br />
(dying condition) larvae were also counted as dead. In control<br />
larvae were treated with water containing 2% skimmed milk<br />
solution.<br />
The data thus recorded were subjected to probit analysis.<br />
for calculating the LC50 and LT50 values. The LT50 was<br />
calculated log days in place of log concentration on the basis<br />
of screening different bacterial preparations of B.T.<br />
RESULTS AND DISCUSSION<br />
Data pertaining to influence of bacterial preparations<br />
against the larvae of D. obliqua shows that all the three<br />
microbial prparations i.e. Dipel, Thuricide HP, Bactospeine<br />
were toxic to the larvae of test insect but Dipel proved to be<br />
the most effective followed by Thuricide HP and Bactospeine<br />
at all the concentrations tested. It can be further seen that<br />
LC50 value has negative corelation with the toxicity of<br />
microbial preparations tested, the lowest (0.0930) was observed<br />
in case of Dipel while it was highest against Bactospiene<br />
Table 1.<br />
Effect of Dipel, Thuricide HP and Bactospeine<br />
against 3 rd instar larvae of D. obliqua<br />
S. Name of Average per cent mortality LC50<br />
No formulation Concentration of bacterial<br />
preparations<br />
0.025 0.05 0.10 0.25 0.50<br />
1. Dipel 24.13 31.03 44.82 82.75 89.65 0.930<br />
2. Thuricide 20.00 30.00 46.67 80.00 86.66 0.1039<br />
HP<br />
3. Bactospeine 13.33 23.33 30.00 66.67 80.67 0.1540
46 Trends in Biosciences 5 (1), <strong>2012</strong><br />
Table 2.<br />
Toxicity index of different bacterial preparations against 3 rd instar larvae of D. obliqua<br />
S.No Name of formulation Spore count/gram of<br />
active product<br />
Regression<br />
equation<br />
Lietero<br />
genecity<br />
Fiducial limit<br />
1. Dipel 25*10^9 Y=1.905+1.57 3.605 0.1312 (U)<br />
0.066 (L)<br />
2. Thuricide HP 30*10^6 Y=1.860+1.556 4.97 0.144 (U)<br />
0.740 (L)<br />
3. Bactospeine 10*10^8 Y=1.584+1.562V 2.28 0.2157 (U)<br />
0.1096 (L)<br />
Toxicity<br />
1.00<br />
0.89<br />
0.60<br />
(0.1540). Thuricide HP behaved intermediary (0.1039). Log<br />
probit curves of these microbial preparations clearly shows<br />
the values ranging from 1.556-1.571 (Table 1).<br />
Low LC50 value for Dipel against other Lepidopteran<br />
insects have also been reported by Srivastava and Nayak,<br />
1978; Caturvedi, 2002.<br />
As regards the toxicity index of different varieties of<br />
microbial preparations used in this investigation, it can clearly<br />
be seen from Table 2 that Dipel has the highest toxicity index<br />
1.0 whereas it was lowest 0.60 in case of Bactospeine. Thuricide<br />
HP had toxicity index (0.89).<br />
Dipel took the minimum time (48 hrs) to to while kill of<br />
bring the insect and maximum time (120 hrs) to 89.99%<br />
mortality at one % concentration, whereas at the same<br />
concentration Bactospeine consumed as much as 168 hrs to<br />
start and 240 hrs for giving the highest (80%) larval mortality.<br />
Results shown that all the formulations tested offered<br />
effective control of the test insect but Dipel manifested it<br />
superiority over the other microbial preparations. It is<br />
interesting to note that larval mortality caused by Dipel was<br />
89.99% and it was closely followed by Thuricide HP 86.66%<br />
ACKNOWLEDGEMENT<br />
Authors are grateful to Dr. A.V. Singh Principal, Agra<br />
College, Agra and Dr. R.S. Rawat, Head, Department of<br />
Zoology, Agra College, Agra for providing necessary facilities<br />
and moral support during the course of the present<br />
investigations.<br />
LITERATURE CITED<br />
Chaturvedi, R.K. 2003. Studies on the effectiveness of Bacillus<br />
thuriengiensis against Utetheisa pulchella (Lipidoptera; Arctiidae),<br />
Indian Society of Life Sciences. pp. 68-69.<br />
Srivastava, R.P and Nayak, P. 1978. Laboratory evaluation of four<br />
formulations of B. thuriengiensis against Cnaphalocrosis medinalisgn<br />
(Pyrilidae;Lepidoptera) The rice roller, zeitschrift fiir<br />
pflanzenkarankheitem un pflanzenschuz, 85(11): 641-644.<br />
Narayan, K. and Jayraj, S. 1975. Effect of B. lhurengiensis on size,<br />
weight and fat content of citrus leaf caterpillar, Papilio demdeus.<br />
Madras Agric. J., 62: 367-370.<br />
Recieved on 15-7-2011 Accepted on 20-12-2011
Trends in Biosciences 5 (1): 47-50, <strong>2012</strong><br />
An Empirical Study of Land Degradation its Magnitudes and Casualities<br />
ANIL KUMAR 1 , B.S. SACHAN 2 AND KESHAV PRASAD 2<br />
1<br />
Seed and Farm, C.S.A. University of Agriculture Technology Kanpur 02<br />
2<br />
Deptt. of Agril. Eco., C.S.A. University of Agriculture Technology Kanpur 02<br />
ABSTRACT<br />
A modest attempt has been made to study the impact of water<br />
and fertilizer intensive agriculture on land degradation, in the<br />
specific context of the situation in D.P., where such a technology<br />
is known to be the predominant one while the increases in crop<br />
production in this region have received considerable attention,<br />
possible negative effects of the new technology have by and<br />
large, gone unnoticed. Alternatively, it has led to exaggeration<br />
of the possible dreading effect of this technology in some circles.<br />
The present paper is an attempt in this direction in the context<br />
of D.P. It shall postulate that the steady decrease in water<br />
logging can be attributed to the changes in level of water flow<br />
and use in the region, and salinity to the simultaneous use of<br />
heavy doses of fertilizer. The variable, volume of canal water<br />
per hectare of cultivated area, number of tube wells per<br />
thousand hectares of cultivated area and rainfall capture the<br />
moisture related factors and level of fertilizer use per hectare<br />
of cropped area captures the fertilizer effect. Two models shall<br />
be postulated to explain the variations in water logging and<br />
salinity, both over time and between districts. These shall be<br />
the ordinary least squares and the weighted least squares based<br />
on linear probability model for the year cross-section analysis<br />
and pool data for three sets of years (1986-87 to 88-89, 1994-95<br />
to 1996-97 and 2003-04 to 2005-06 respectively) after estimating<br />
district level data, on the following four sets’ of variables. Land<br />
degradation includes waterlogged and saline land. Recent<br />
studies indicate that high levels of salinity are found to occur<br />
in regions where fertilizer consumption is high. Consumption<br />
of fertilizer per hectare of cropped area is included as one of<br />
the explanatory variables in the model to capture this impact.<br />
In order to see what impact this increase had on the water<br />
balance and hence on the problems of water logging and salinity.<br />
The results of both the ordinary least squares and the weighted<br />
least squares specifications are reasonably acceptable. All the<br />
explanatory variables appear with the expected signs. Which<br />
the variables, rainfall volume of canal water and level of<br />
fertilizer use, land to increases in land degradations, the<br />
number of tube-wells per thousand and hectares decreases land<br />
degradation due to water logging and salinity. In the ordinary<br />
least squares specification, the variables, volume of canal water<br />
per hectare ,and fertilizer use, per hectare are significant at<br />
the 10 per cent level. Our results show that the new agricultural<br />
technology characterised, by water and fertilizer intensive<br />
agriculture have had second round effects. Remedial measures<br />
that help to limit the negative environmental impact to the<br />
minimum should be planned for ideally, water resource<br />
planning in a river basin should be based on long run estimates<br />
of availability of water and land.<br />
Key words<br />
Land degradation, canal water, tubebell, fertilizers<br />
The degradation of land that irrigation leads to takes<br />
the form of water-logging and salinity. Large tracts of land go<br />
out of cultivation due to waterlogging. Alternatively, the<br />
productivity of cultivated areas decreases, with the<br />
consequence that an ecological imbalance is initiated that<br />
may result in a considerable dent being made in the benefits<br />
resulting from land augmentation. Salinity is another related<br />
from of land degradation.<br />
Soils become saline as a result of concentration of salts<br />
due to evaporation of groundwater moving upwards. At cases,<br />
this is the outcome of a rise of groundwater from a shallow<br />
water-table. In such cases, salinity appears together with<br />
waterlogging. Alternatively, it could also appear independently<br />
of any occurance of waterlogging (Karanth, 1996) in part, and<br />
weather salinity together as elements of land degradation and<br />
do not make an attempt to divide the total into its two<br />
component parts. The crux of the problem appears to be a<br />
distortion of the natural equilibrium between groundwater<br />
discharge and recharge stemming from percolation losses in<br />
the irrigated area, a phenomenon that hydrologists study with<br />
the help of water-balance equations.<br />
Simultaneously, however, this phenomenon has resulted<br />
in both lower yields from land and larger amounts of land<br />
going out of cultivation. In the Sharda Sahayak command<br />
area, yields of paddy and wheat decreased by about 40 to 70<br />
per cent due to waterlogging and by 50 to 60% on account of<br />
salinity decreased paddy and wheat decreased by about 40 to<br />
70% due to waterlogging and by 50 to 60% on account of<br />
salinity. In Demol village of Kheda district in Gujarat it was<br />
estimated that different levels of salinity decreased paddy<br />
and wheat yields by 10 to 80% Further, in a study of four<br />
Haryana villages it was found that farms having salinity had<br />
to leave 25% of their as fallow as compared to only 4% on<br />
farms without salinity.<br />
Later, with the addition of other canal systems, in<br />
particulars the Bhakra Canal system, the volume of water<br />
flowing through the region increased and this led to changes<br />
in the hydrology of the region. The increase in water flows<br />
trough the region could be expected to result in waterlogging<br />
and salinity. Even tough the soils in this part of the country<br />
are mainly comprised of sand and silt mixed with clay, the<br />
excessive use of surface water without adequate groundwater<br />
pumping and sub-surface per year from 1997 to 1998-99. It has<br />
been estimated that around 1996-97 there existed an annual<br />
surplus groundwater-balance equivalent to a rise of 1.40<br />
meters.
48 Trends in Biosciences 5 (1), <strong>2012</strong><br />
In particular, Lakhimpur, Hathras ben tile chronically<br />
waterlogged areas. Of late, waterlogging has increased in<br />
Sitapur, Barabanki, Pilibhit districts also. Together these five<br />
districts account for per cent of the waterlogged area in the<br />
State. Simultaneously, the levels of fertilizer use have also<br />
increased. Joshi, 2003, among others, has postulated that this<br />
has resulted in increased levels of salinity, one of the<br />
components of land degradation.<br />
By 2006-07 60.90, thousand hectares were affected by<br />
waterlogging and salinity. Up to 2000-01, there is an increase<br />
in the magnitude of saline and waterlogged land. After that<br />
year , there is a steady fall. By 2006-07 the area affected by<br />
waterlogging and salinity had decreased to less than half its<br />
extent in 2001-02. The factor landing to this fluctuation in the<br />
levels of waterlogging need to be examined both on their own<br />
account and because of the such an examination would<br />
through on policy aspects of irrigation management.<br />
It is postulatel that the steady decrease in waterlogging<br />
can be attributed to the changes in the level of water flow and<br />
use in the region, and salinity to the simultaneous use of<br />
heavy doses of fertilizer. The variable, volume of canal water<br />
per hectare of cultivated area, and rainfall capture the moisture<br />
related face and level of fertilizer use per hectare of cropped<br />
area captures the fertilizer effect.<br />
Two models shall be postulated to explain the variations<br />
in waterlogged and salinity, both over time and between<br />
districts. These shall be the ordinary least squares (OLS) and<br />
the weighed least squares (WLS) based on linear probability<br />
model. For the cross-section analysis, we pool together data<br />
for three sets of years (Table 1) respectively after estimating<br />
district level data, on the following four dets of variables. For<br />
the purpose of this analysis, data for the following set of<br />
variables are compiled.<br />
(a) Saline and waterlogged Land as a Percentage of<br />
Geographical Area. The data on and waterlogged land are<br />
taken from a publication of the Directorate of Economics and<br />
Statistics of the Punjab Government entitled “Floods, Irrigation<br />
and Waterlogging in Punjab. The dependent variable is<br />
defined as saline and waterlogged land as percentage of<br />
geographical area in the district. An alternative formulation<br />
could be to take degraded land as a proportion of cultivated<br />
area or net area sown. If the object of the exercise is to examine<br />
the impact of irrigation on extending or limiting the land<br />
resources available to agriculture, the latter is the better<br />
specification to use. This is because irrigation would have led<br />
to an expansion of sown area and the decreases in sown area<br />
due to the accompanying degradation must be examined to<br />
get the net effect. In a model that seeks to determine the factors<br />
leading to degradation, the geographical area is a better base<br />
as it will capture the total effect of loss irrespective of whether<br />
the land is cultivated or uncultivated. Further, if the net sown<br />
area does not change significantly in a certain period of time<br />
(as it does not in Uttar Pradesh, see Table 2), either definition<br />
is acceptable.<br />
It may be said that the intensity of waterlogging and<br />
salinity should be taken into account. As hydrologists will<br />
vouch for, however, this intensity may vary locally, even within<br />
a small region. It is, therefore, not possible to account for it at<br />
this level of aggregation. It is our contention, however, that<br />
some insight into degradation of land can be attained even by<br />
the less aggregated analysis.<br />
The presence or otherwise of irrigation is captured better<br />
by the volumetric supply of canal water reaching the land<br />
than by the area irrigated. For explaining waterlogging and<br />
salinity it is all the more relevant to examine the volume of<br />
water as only its physical presence can result in land being<br />
waterlogged. A detailed estimate of volumetric supply of canal<br />
water from the different canal systems is available for the<br />
entire time period from the unpublished data of the irrigation<br />
department. The districtwise estimates of the volumetric<br />
supply of canal water are arrived at on the basis of length of<br />
the canal system in the district.’ This provides an<br />
approximation to the magnitude of canal water reaching the<br />
district. Table 2 gives the estimates.<br />
On waterlogging maintain that rainfall has an important<br />
impact on water-balance in the region. Rainfall at the district<br />
level is, therefore, taken as one of the explanatory variables.<br />
The effect of rainfall would depend partly on the soil<br />
characteristics. However, as we are taking district level data<br />
for the analysis, we expect that the level of aggregation will<br />
capture differences in the soil conditions and we need not<br />
take a separate soil variable.<br />
The three variables, rainfall, volume of water supplied<br />
and volume of water extracted through tubewells together<br />
stand as a proxy, for the excess of water supply over demand.<br />
This is because it is only water that has not been used by the<br />
cropped fields or that has not evaporated, which seeps into<br />
the ground and adds to the level of groundwater, thereby<br />
making H possible to increase extraction through tubewells.<br />
In an indirect fashion, therefore, demand for water has been<br />
accounted for.<br />
One component of the water-balance equation that<br />
affects the magnitude of land degradation is the amount of<br />
water that gets drawn from the water-table through pumping.<br />
Over the period 2005 to 2006 there has been a rapid increase in<br />
the tubewells in the State. In order to see what impact this<br />
increase had on the waterbalance and hence on the problems<br />
of water logging and salinity, we take the number of tube<br />
wells per hectare of net sown area as one of the explanatory<br />
variables in the equation.<br />
Definition of land degradation includes waterlogged and<br />
saline land. Recent studies indicate that high levels of salinity<br />
are found to occur in regions where fertilizer consumption is<br />
high. Consumption of fertilizer per hectare of cropped area is<br />
included as one of the explanatory variables in the model to
KUMAR et al., An Empirical Study of Land Degradation its Magnitudes and Casualities 49<br />
capture this impact. The actual quantity of unabsorbed fertilizer<br />
would perhaps have been a better explanatory variable. Even<br />
where agronomic estimates of unabsorbed fertilizer are<br />
available, they are region- and crop-specific. In the absence<br />
of district level, time-series data on this agronomic variable,<br />
fertilizer consumption is taken as the proxy variable.<br />
RESULTS AND DISCUSSION<br />
Two linear regression models are now set up to test for<br />
the hypothesis that the levels of land degradation depend on<br />
the variables listed above. In other words, the alternative<br />
sources of water availability together with the use of fertilizer<br />
determine land degradation caused by water logging and<br />
salinity. The models pool time-series data for three sets of<br />
years, i.e., 1986-87, 1988-89, 1994-95, 1996-97 to 2003-04 and<br />
1982-83 to 1984-85. In the first instance, an OLS model is setup<br />
for each set and an F -test is conducted to ensure that the<br />
pooling is in order.<br />
Alternatively, the dependent variable, being a fraction,<br />
i.e., proportion of land degraded, can be interpreted as the<br />
probability that degradation will occur given the total<br />
geographical area and the water availability from different<br />
sources. The estimated value of the dependent variable will<br />
then give the estimated probability that degradation will occur.<br />
The OLS estimates may not be efficient and it may be better to<br />
use weighted least squares defining.<br />
The WLS estimates so obtained for the two sets of years<br />
are tabulated together’ with the OLS results in Table 2. The<br />
results of both the OLS and the WLS specifications are<br />
reasonably acceptable.<br />
All the explanatory variables appear with the expected<br />
signs. While the variables, rainfall, volume of canal water and<br />
level of fertilizer use, lead to increases in land degradation,<br />
the number of tube wells per thousand hectares (by reducing<br />
the water-table) decreases land degradation due to water<br />
logging and salinity. In the OLS specification, the variables,<br />
volume of canal water per hectare and fertilizer use per hectare<br />
are significant at the 5 per cent level whereas the variable tube<br />
wells per thousand hectares is significant at the 10 per cent<br />
level. The WLS specification changes the level of significance<br />
somewhat but the direction of the results remains the same.<br />
The model explains 19 to 46 per cent (for different time periods)<br />
of the variation in the dependent variable, which, for pooled<br />
data, is not unacceptable. It is correct to conclude, therefore,<br />
that the adoption of the canal water- fertilizer based technology<br />
contributed to degradation of land and, but for the offsetting<br />
Table 1.<br />
Year<br />
Saline and waterlogged area, sown area and<br />
geographical area in Uttar Pradesh<br />
Land saline and<br />
waterlogged<br />
(2)<br />
Net sown<br />
area<br />
(3)<br />
(1)<br />
1987-88 72.13 4602<br />
1988-89 70.72 4687<br />
1989-90 68.40 4782<br />
1990-91 65.33 4826<br />
1991-92 63.86 5036<br />
1992-93 82.21 5082<br />
1993-94 61.87 5137<br />
1994-95 60.39 5223<br />
1995-96 58.21 5382<br />
1996-97 57.26 5476<br />
1997-98 55.46 5482<br />
1998-99 53.62 5531<br />
1999-2000 51.62 5636<br />
2000-01 50.21 5682<br />
2001-02 49.32 5733<br />
2002-03 48.46 5872<br />
2003-04 45.32 5921<br />
2004-05 44.36 6023<br />
2005-06 43.12 6134<br />
2006-07 42.41 6272<br />
Table 2.<br />
The models pool time series data for 3 sets of years<br />
Specification Year Intercept Canal water<br />
per hectare<br />
Rainfall Tube wells per<br />
thousand hectare<br />
Ordinary least squares 1984-85 to 1986-87 0.436<br />
0.454<br />
0.0029<br />
-0.0089<br />
(0.267) (2.267)<br />
(0.777)<br />
(-1.403)<br />
R 2 =0.193 F-ratio=3.01 n=33<br />
1997-98 to 1999-2000 -0.703 0.575<br />
0.0129<br />
-0.0058<br />
(-0.893) (4.291)<br />
(0.201)<br />
(-1.329)<br />
R 2 =0.46 F-ratio = 6.508 n=33<br />
2003-04 to 2005-06 0.06<br />
0.675<br />
0.23<br />
-0.0069<br />
(0.07) (3.29)<br />
(0.314)<br />
(-1.429)<br />
R 2 =0.42 F-ratio = 5.617 n = 33<br />
Linear probability model 1986-87 to 1988-89 -0.860 0.611<br />
0.0054<br />
-0.013<br />
(-1.860) (3.777)<br />
(1.179)<br />
(-1.2999)<br />
R 2 =0.41 F-ratio=6.58 n=33<br />
1997-98 to 1999-2000 0.675<br />
0.232<br />
0.00161<br />
5.491<br />
(1.269) (2.839)<br />
(-2.345)<br />
(0.937)<br />
R 2 =0.19 F-ratio = 2.887 n=33<br />
2003-04 to 2005-06 0.725<br />
0.324 0.0018 (0.512) -0.0078<br />
(1.369) (3.749)<br />
(-3.24)<br />
R 2 =20.24 F-ratio = 3.88 n=33<br />
Fertiliser user<br />
per hactare<br />
9.609<br />
(1.635)<br />
14.085<br />
(2.179)<br />
12.085<br />
(2.28)<br />
19.146<br />
(2.116)<br />
6.491<br />
(0.84)
50 Trends in Biosciences 5 (1), <strong>2012</strong><br />
effect of tube well expansion in the late sixties and seventies,<br />
the land degrading effect of the technology would have been<br />
far more.<br />
Results show that the new agricultural technology<br />
characterised by water and fertilizer intensive agriculture have<br />
had second round effects. It was just circumstantial that the<br />
accelerated investment in tube wells offset some of these<br />
effects. For the Uttar Pradesh region, then these ecological<br />
effects of irrigation are not substantial and have been<br />
decreasing over time as a consequence of the conjunction of<br />
a number of factors. One cannot, however, in the planning for<br />
large surface irrigation systems depend on such fortuitous<br />
happenings. Detailed projections of the likely environmental<br />
impact (Central Board of Irrigation and Power, 1985) should<br />
form a part of the planning exercise.<br />
It is important to realise that the kind of planning<br />
mentioned above is significant, because in its absence,<br />
measures to correct for land degradation may turn out to be<br />
costly. Joshi et al., 2001, for instance, find that sub-surface<br />
drainage to reclaim degraded land in Haryana would cost<br />
Rs.21,913 per hectare under one set of technical parameters.<br />
In another estimate the production loss from land degradation<br />
for eleven irrigation projects studied is estimated at Rs.l,803<br />
million (Joshi and Agnihotri, 1984). Moreover, this loss not<br />
accounted for the loss of forest land in catchments areas and<br />
the cost of abilitation of displaced persons. The significance<br />
of a proper pre-implementation evaluation of all aspects of<br />
large irrigation projects cannot, therefore, be over-estimated<br />
m if in some cases the adverse effects may turn out to be<br />
insignificant. Following a strategy of the above kind would<br />
ensure also that estimates of these phenomena are made re<br />
firm. This development would then provide a link in the study<br />
of the inter-relation between ecology and development.<br />
LITERATURE CITED<br />
Central Board of Irrigation and Power. 1985. Indo-Soviet Workshop<br />
on Evaluation and Modeling of Impacts on Environment of Water-<br />
Resources Projects, Government of India, New Delhi.<br />
Centra: Ground Water Board. 1983. Proceedings of the Seminar on<br />
Assessment, Development and Management of Ground Water<br />
Resources, Vol. II, Ministry of Water Resources, Government of<br />
India, New Delhi.<br />
Central Ground Water Board. 1986. Proceedings of the Seminar on<br />
Conjunctive Use of Surface and Ground Water, Ministry of Water<br />
Resources, Government of India, New Delhi ..<br />
Chopra, Kanchan. 1982. “Alternative Sources of Irrigation and Land<br />
Use Patterns m the Uttar Pradesh”, Indian Journal of Agricultural<br />
Economics, Vol. 37, 0.2, April-June.<br />
Chow, G.C. 1960. “Tests of Equality between Sets of Coefficients m<br />
Two Imear Regressions”, Econometrica Vol. 28, No.3, July, pp.<br />
591-605.<br />
Government of India 1976. Report of the National Commission on<br />
Agriculture 1976, Part V: Resource Development, Ministry of<br />
Agriculture and Irrigation, New Delhi.<br />
Joshi, P.K. 1987. “Effect of Surface Irrigation on Land Degradation-<br />
Problems and Strategies”, Indian Journal of Agricultural Economics,<br />
Vol. 42, No.3, July September .<br />
Joshi, P.K. and A.K. Agnihotri 1984. “An Assessment of the Adverse<br />
Effects of Canal Irrigation in India”, Indian Journal of Agricultural<br />
Economics, Vol. 34, No.3, July-September.<br />
Joshi, P.K., O.P. Singh, K. V.G.K. Rao and K.N. Singh 1987. “Sub-<br />
Surface Drainage for Salinity Control: An Economic Analysis”,<br />
Indian Journal of Agricultural Economics, Vol. 42, No.2, April-<br />
June.<br />
Kanwar, J.S. 1977. Soil Bulletin No. 34, Food and Agriculture<br />
Organization of the United Nations, Rome.<br />
Karanth, K.R. 1986. “Water logging: Causes, Prevention and Control”,<br />
in Central Ground Water Board : Proceedings of the Seminar on<br />
Conjunctive Use of Surface and Ground Water, Ministry of Water<br />
sources, Government of India, New Delhi.<br />
Recieved on 16.12.2011 Accepted on 25.2.<strong>2012</strong>
Trends in Biosciences 5 (1): 51-53, <strong>2012</strong><br />
Comparative Efficacy of Three Chemical Products on the Root-Knot Development<br />
and Plant Growth of Green Gram, (Vigna radiata L.)<br />
MOHD. YAQUB BHAT 1 , A.H. WANI 1 AND NASEER HUSSA<strong>IN</strong> SHAH 2<br />
1<br />
P.G. Department of Botany, University of Kashmir, Srinagar 190 006<br />
2<br />
Department of Botany, Govt. Degree College Kupwara, Srinagar<br />
email: myaqub35@gmail, ahamidwani@yahoo.com<br />
ABSTRACT<br />
A green house study using artificial inoculations in earthen<br />
pots was made to ascertain the efficacy of three different<br />
chemicals viz. Carbofuran, Oncol,and Posse against root-knot<br />
nematode infecting green gram. The study revealed that all<br />
the chemicals applied either as soil drench or seed soaking<br />
were effective and superior to untreated control in reducing<br />
nematode population and gall index and in improving plant<br />
growth. The chemical Carbofuran showed better performance<br />
than that of Oncol and Posse. Seed soaking treatment<br />
registered slightly better plant growth in comparison to soil<br />
drench application. However, soil drench application of<br />
chemicals showed much efficacy in restricting nematode<br />
population and gall development. Higher concentration (0.1%)<br />
of chemicals appeared as the most effective than the lower<br />
concentration 0.05%). The number of bacterial nodules<br />
increased in all chemical treatments with a more stimulating<br />
effect at lower dosages.<br />
Key words Chemicals, root-knot nematode, Vigna radiata L.<br />
growth, gall index, nodules.<br />
The root-knot nematode Meloidogyne incognita<br />
(Kofoid and White, 1919) Chitwood 1949, is an important pest<br />
of most grain legumes including green gram Vigna radiata<br />
(L.) Wilczek and causes severe economic losses to these crops<br />
every year. Effectiveness of nematicides in controlling plant<br />
parasitic nematodes is well recognised and considerable work<br />
has been done on the effect of various chemicals on the<br />
nematode population in order to find suitable control measures<br />
(Azam, et al., 1978; Sharma and Trivedi, 1985, Haq, et. al.,<br />
1987, Sethi and Maher, 1989, Dareker, et.al., 1990 Giannakou,<br />
et. al., 2002). Oxamyl application reduced root-galling severity<br />
and increased marketable yield however the cost-effectiveness<br />
of Oxamyl application was related to the level of soil infestation<br />
with nematode (Gugino, et.al., 2006). It is concluded that<br />
there will most probably be not a single nematode controlling<br />
agent but combinations different control methods will be<br />
required according to specific needs (Mc Sorley, 1998, Abou-<br />
Jawdah, et.al., 2000). Now it seems that chemical control of<br />
nematodes is the most desirable component to be involved in<br />
the nematode management system (Fazal, et.al., 2011).<br />
Therefore it order to chose a chemical for effective integrated<br />
nematode management system it was felt desirable to carry<br />
out the green house study to evaluate the effect of three<br />
chemical products viz., Carbofuran, Oncol (Benfurocarb) and<br />
Posse, as seed soaking and soil drench treatment on the<br />
nematode development and plant growth of green gram in<br />
two consecutive seasons.<br />
MATERIALS AND METHODS<br />
Two concentrations, 0.05% and 0.1 % of Carbofuran<br />
(10G) 2,3- Dihydro-2,2 dimethyl-7-benzofuranylmethyl<br />
carbamat), Oncol (50SP) (Benfurocarb)(ethyl N-[2,3-dihydro-<br />
2,2-dimethyl benzofuran—7-yloxycarbonyl (methylaminothio]<br />
= N- isopropyl-B-alaminate) and Posse (25 STP)(2,3-dihydro-<br />
2,2-dimethyl benzofuran-7-yl(dibutylamino thio) methyl<br />
carbamate), prepared from granular formulation on active<br />
ingredient basis, were used as seed soaking or as soil drench.<br />
For seed soaking, seeds of green gram were soaked in both<br />
the concentrations of each chemical for 2 hr separately. For<br />
soil drench, 25 ml of both the concentrations of each chemical<br />
was applied around the root zone of each seedling, individually.<br />
Soaked seed were treated with Rhizobium (green gram strain)<br />
and sown in 15 cm earthen pots filled with 1 kg steam sterilized<br />
soil and farm yard manure in the ratio of 2:1. On germination,<br />
one healthy seedling was retained per pot and each seedling<br />
inoculated with 1000 J2 of Meloidogyne incognita and 1g of<br />
Rhizobium. For soil drench treatment, green gram seedling<br />
germinated in earthen pots, as mentioned previously were<br />
applied with 25 ml of each concentrations (0.05% and 0.1%)<br />
of each chemicals, separately. One day after chemical<br />
application, the seedling were inoculated with 1000 J2 of M.<br />
incognita. Each treatment was replicated thrice and pots were<br />
arranged in randomised block design on green house benches.<br />
Sixty days after inoculation, the plants were harvested<br />
and roots were washed thoroughly to free them of adhered<br />
soil particles. Data on shoot and root length was recorded in<br />
cm, Number of bacterial nodules and root knot were counted<br />
and number of nematode populations in root and soil were<br />
determined ( Southey, 1988). Nematode reproductive factors<br />
was calculated for each treatment (Oostenbrink, 1966). For<br />
rating gall index (G 1) Taylor and Sasser, Scale was used. (Taylor<br />
and Sasser, 1978). The data obtained was subjected to<br />
statistical analysis and critical difference (CD) was calculated<br />
at P= 0.05
52 Trends in Biosciences 5 (1), <strong>2012</strong><br />
RESULTS AND DISCUSSION<br />
Data on the performance of three nematicides as seed<br />
soaking treatment against root knot disease of green gram<br />
Vigna radiata L. in pots showed that all the nematicides<br />
tested, decreased the nematode reproductive factor and rootknot<br />
index and increased the plant growth significantly (P=<br />
0.05) compared to plants green gram inoculated with M<br />
.incognita alone(Table 1). In general, treatments were most<br />
effective at higher concentration (0.1%) and least at lower<br />
concentration (0.05%) with non significant differences.<br />
Carbofuran was most effective among the different chemicals<br />
in reducing nematode reproductive factor and root-knot index<br />
and increasing plant dry weight followed by Posse and Oncol<br />
(benfuracarb). However among these nematicides carbofuran<br />
and posse showed significant increase in plant dry weight in<br />
comparison to Oncol at both concentrations. These<br />
nematicides at tested concentrations had variable effect on<br />
bacterial nodules. Posse at both the concentrations was most<br />
effective in increasing the bacterial nodules significantly (P=<br />
0.05) followed by 0.05% carbofuran. However, Oncol at both<br />
the concentrations enhanced the number of bacterial nodules,<br />
non significantly. Results on the efficacy of three nematicides<br />
as soil drench treatment for the management of root knot<br />
disease of green gram in pot conditions revealed that<br />
Carbofuran was most effective in reducing the nematode<br />
reproductive factor and gall index and increasing the plant<br />
growth, followed by and Posse and Oncol. All these<br />
nematicides at tested concentration increased the bacterial<br />
nodules significantly (P= 0.05) compared to green gram plants<br />
inoculated with M. incognita alone (control). In seed soaking<br />
treatment Oncol failed to enhance the bacterial nodule number<br />
significantly in comparison to control but increased the nodule<br />
number significantly (P= 0.05) in comparison to control in<br />
drench treatment at the same concentrations. However, the<br />
differences among Carbofuran, Posse and Oncol, in<br />
suppressing nematode reproductive factor and gall index and<br />
Table 1.<br />
Treatments<br />
Effect of three chemical products on the root-knot developnent and plant growth of green gram (Vigna radiata (L.)<br />
Wilzeck) (Seed soaking treatment).<br />
Carbofuran.05%<br />
Carbofuran.1%.<br />
Oncol .05%<br />
Oncol .1%<br />
Posse .05<br />
Posse .1%<br />
Untreated inoculated control<br />
DF (6,14)<br />
Bacterial<br />
nodules<br />
/plants<br />
56.20<br />
50.20<br />
52.26<br />
50.06<br />
65.26<br />
63.60<br />
48.33<br />
Each value is mean of three replicates<br />
*Reproductive factor (R) = Final population / Initial populations<br />
Dry weight of plant<br />
Nematode population<br />
Wt. (g)<br />
Root Shoot Total Soil Root Total<br />
A B A+B A B A+B<br />
1·40 3.13 4.53 1496 100 1596<br />
1.50 3.45 5.25 1460 88 1549<br />
1.50 3.26 4.76 1583 108 1691<br />
1.76 3.16 4.92 1545 89 1650<br />
1.00 2.26 3·26 1752 136 1888<br />
1.21 2.36 3.56 1702 132 1834<br />
0.43 1.36 1.80 3306 290 3596<br />
* R =<br />
Pf/Rf<br />
Root-knot<br />
index<br />
F 13.97 8.93 21.53 29.34 742.5 254.9 1171 1183 34.30<br />
St.error of mean 1.73 0.15 0.16 0.22 24.13 4.3 21.24 0.02 0.19<br />
P=0.5 4.59 0.38 0.39 0.55 60.10 10.8 52.91 0.05 0.49<br />
1.59<br />
1.54<br />
1.69<br />
1.65<br />
1.88<br />
1.83<br />
3.59<br />
1.80<br />
1.80<br />
2.20<br />
2.20<br />
3.50<br />
2.80<br />
5.0<br />
Table 2.<br />
Treatments<br />
Effect of three chemicals products on the root-knot development and plant growth of green gram (Vigna radiata (L.)<br />
Wilzeck.) (Soil drench treatment).<br />
Carbofuran.05%<br />
Carbofuran.1%.<br />
Oncol .05%<br />
Oncol .1%<br />
Posse .05<br />
Posse .1%<br />
Untreated inoculated control<br />
Bacterial<br />
nodules<br />
64.20<br />
63.90<br />
62.93<br />
59.03<br />
66.20<br />
66.13<br />
49.88<br />
• Each value is mean of three replicates<br />
*Reproductive factor (R) = Final population / Initial populationss<br />
Dry weight of plant<br />
Nematode population<br />
Wt. (g)<br />
Root Shoot Total Soil Root Total<br />
A B A+B A B A+B<br />
1.60 3.20 4.80 1490 116 1606<br />
1.60 3.50 5.18 1362 112 1447<br />
1.16 2.93 4.10 1402 120 1522<br />
1.40 3.86 4.26 1535 125 1660<br />
0.81 2.40 3.21 1698 128 1826<br />
1.10 2.20 3.30 1638 142 1780<br />
0.40 1.30 1.70 3308 290 3598<br />
* R =<br />
Pf/Rf<br />
1.65<br />
1.47<br />
1.52<br />
1.66<br />
1.82<br />
1.78<br />
3.59<br />
Root-knot<br />
index<br />
F 18.74 12.84 11.37 29.25 1.5±0.4 379.10 8239.27 48.77 7360.35<br />
St.error of mean 1.32 0.12 0.21 0.21 5.69 3.26 8.25 0.19 0.008<br />
P=0.5 3.31 0.29 0.54 0.53 14.17 8.12 20.56 0.02 0.48<br />
1.93<br />
1.43<br />
2.06<br />
1.55<br />
3.3<br />
2.6<br />
5.0
MOHD. YAQUB BHAT, et al., Comparative Efficacy of Three Chemical Products on the Root-Knot Development 5 3<br />
increasing plant growth and nodule number were nonsignificant.<br />
Seed soaking and soil drench evaluation data on<br />
the efficacy of nematicides were almost similar. However, soil<br />
drench treatment was comparatively most effective in reducing<br />
the root knot disease as evident from reproduction factor and<br />
gall index.<br />
Present studies revealed that most of the chemicals<br />
tested, either as soil drench or seed soaking treatment,<br />
provided protection to green gram plants against M. incognita<br />
race-1 to maximum extent. The variation in effectiveness of<br />
chemicals can be attributed to the property of chemicals by<br />
which these chemicals breakdown and are metabolized to<br />
hydrolytic products in the form of plant conjugates. Reduced<br />
nematode population and gall indices in seed soaking<br />
treatment can be attributed to the fact that chemical absorbed<br />
by seeds in sufficient quantity was probably responsible for<br />
nematostatic action at the initial stage (Haq, et al., 1987). In<br />
soil drench application, both contact and systemic action of<br />
chemicals probably resulted in reduced nematode reproductive<br />
factor and gall indices. This assumption was reflected in less<br />
number of nematode population in soil and root and are in<br />
consistency with studies of Gugino, et al., 2006, Giannakou,<br />
et al., 2002) Increase in bacterial nodules with chemical<br />
treatments shows their less phytotoxicity and confirm the<br />
findings of Shakuja and Singh, 1976. The results of present<br />
investigation highlight the importance of seed soaking and<br />
soil drench application of chemicals in crop protection<br />
strategies against nematodes species to enhance the crop<br />
productivity. These studies also help in knowing the<br />
importance of particular chemical to be involved in integrated<br />
nematode management strategies as has been studied by<br />
Kamra, et al., 2008.<br />
ACKNOWLEDGEMENT<br />
The authors are thankful to Head, Department of Botany,<br />
University of Kashmir, Srinagar, for providing necessary<br />
facilities to complete this work.<br />
LITERATURE CITED<br />
Abou-Jawdah,Y., Melki, K., Hafez, S.L., Sofa, H., El.Masri, Y. and<br />
Sundararaj, P. 2000. Alternatives to methyl bromide for root knot<br />
nematode management on cucumber in Lebanon: Nematropica,<br />
30:41 -45<br />
Azam, M.F., Khan, A. M. and Saxena, S.K. 1978. Population of plant<br />
parasitic nematodes as influenced by certain nematicides around<br />
some ornamental plants: Indian J. Nematol., 8: 69-73.<br />
Darekar, K. S., Mhase, N. L. and Shalke, S. S. 1990. Effect of green<br />
gram seed treatment with certain nematicides on root-knot<br />
nematodes and crop yields: International Nematology Network<br />
Newsletter, 7: 4-5.<br />
Fazal, M., Bhat, M. Y. and Ashaq, M. 2011. Combined application of<br />
Paecilomyces lilacinus and Carbosulfan for management of<br />
Meloidogyne incognita and Rotylenchulus reniformis. Annals of<br />
Plant Protection Sciences, 19(1) In press.<br />
Giannakou, I. O., Sidiropoulos, A. and Athanasiadou, D. P. 2002.<br />
Chemical alternatives to methyl bromide for thecontrol of rootknot<br />
nematodes in greenhouses. Pest Management Science, 58:<br />
290-296<br />
Gugino, B.K., Abawi, G.S. and Ludwig , J. W. 2006. Damage and<br />
Management of Meloidogyne hapla Using Oxamyl on Carrot in<br />
New York J. Nematol., 38 (4): 483-490<br />
Haq, S., Khan, M.W. and Saxena, S.K.1987. An evaluation of different<br />
modes of application of systemic nematicides for the control of<br />
root-knot nematodes in tomato: Phytoprotection, 68: 57-63.<br />
Kamra, A. Sharma, H. K. and Pankaj 2008.Effect of seed treatment<br />
with pseudomonas flurescens alone and in combination with soil<br />
application of carbofuran and neem seed. Pesticide Research<br />
Journal, 20(1): 79-82.<br />
Mc Kenry, M Buzo, T., Kretsch, J., Kalu, S. Otomo, E. Ashcroft, R.,<br />
Lange, A. and Kelley, K. 1994. Soil fumigants provide multiple<br />
benefits: Alternatives give mixed results: Calif. Agric., 48:22-28.<br />
Mc Sorley, R., Stansly, P. A., Noling, J.W., Obreza, T.A. and Conner,<br />
J.M. 1998. Impact of organic soil amendments and fumigation on<br />
plant parasitic nematode in a southwest Florida vegetable fields:<br />
Nematropica, 27:181-189.<br />
Oostenbrink, M. 1966. Major characteristic of the relation between<br />
nematodes and plants: Medel Hogesh, wageningen, 66: 3-46.<br />
Sakhuja, P.K. and Singh, I. 1980. Effect of nematicidal treatment<br />
against M. incognita on mung (P. aureus) and bacterial nodulation:<br />
Nematol. Medit., 8: 201-203.<br />
Sethi, C.L. and Meher, H.C. 1989. Effect of Phenamiphos on soil<br />
nematodes and yield of cowpea, pea and okra: Indian J. Nematol.,<br />
19(2): 89-94.<br />
Sharma, R.K. and Trivedi P.C. 1985.Nematotoxicity of some<br />
organophosphates and carbamates against Meloidogyne incognita<br />
and their effect on plant growth and rhizobial nodulation in pea :<br />
International Nematology. Network Newsletter, 2(4): 10-12.<br />
Southey, J.F. 1970. Laboratory methods for work with plant and soil<br />
nematodes, Ministry of Agriculture, Fisheries and Food. Tech. Bull.<br />
2. HerMajesty’s Stationary Office, London.<br />
Taylor, A.L. and Sasser J.N. 1978. Biology, identification and control<br />
of root-knot nematodes (Meloidogyne species):Coop. Publ. Dept.<br />
Plant Pathology, NCSU and USAID, Raleigh, N.C. 111.<br />
Recieved on 3.10.2011 Accepted on 2.4.<strong>2012</strong>
Trends in Biosciences 5 (1): 54-56, <strong>2012</strong><br />
Effect of Some Aqueous Plant Extracts on Egg Hatching of Meloidogyne incognita<br />
(Kofoid and White) Chitwood, the Root-Knot Nematode<br />
HARPREET KAUR* AND ANU KATOCH<br />
Department of Zoology & Environmental Sciences, Punjabi University, Patiala 147 002<br />
*email: harpreet_bimbra@yahoo.com<br />
ABSTRACT<br />
Root-knot nematode disease had been effectively and mostly<br />
controlled by synthetic nematicides which have been confirmed<br />
to be the source of food, water and environmental pollution. A<br />
study was conducted to evaluate potential of aqueous extracts<br />
from mint, ginger, garlic, marigold and eucalyptus in controlling<br />
the hatch of eggs of the RKNs, Meloidogyne incognita. Five<br />
concentrations of water soluble extracts from the five plant<br />
species were filtered, added to petridishes and infested with<br />
eggs of M. incognita. The AMinE was the most effective in<br />
delaying and suppressing hatching. Lowest concentration i.e.<br />
0.5% AMinE caused delay upto 19 hours with 2.3% of hatch in<br />
comparison to 17 hours delay in 0.5% AGarE and AGinE with<br />
3% and 3.8% of hatch. AMarE was least effective as the delay<br />
was 14 hours in 0.5% AMarE with 5.2% egg hatch.<br />
Key words<br />
Meloidogyne, egg hatch, plant extracts, mint, garlic<br />
Most crop plants including vegetables, cereals,<br />
ornamental plants and fruits are attacked by one or more<br />
species of nematodes. It has been reported that average yield<br />
loss of world’s crops due to plant parasitic nematodes is 12.3%<br />
(Sasser, 1998). Nematodes are microscopic, eel-like round<br />
worms. The most troublesome species in the field are the ones<br />
that live and feed within plants than others which live freely<br />
in the soil and feed on plant roots. Although there are different<br />
species of root feeding nematodes, most important are<br />
Meloidogyne spp. which are difficult to control. It is impossible<br />
to precise the loss caused by them. However, some estimates<br />
of individual crop losses have been made by various authors.<br />
In tomato plants, when M. incognita occurs, 50% of fruit<br />
yield is suppressed (Lamberti, 1979). In tropical areas root<br />
knot nematodes cause losses in potato crops estimated to be<br />
24% (Sasser, 1979). In addition, these nematodes have ability<br />
to interact synergistically with other plant pathogens and<br />
cause upto 5-34% yield loss in vegetables in tropical climates.<br />
The presence of root knot nematode, Meloidogyne spp. is<br />
known to increase the severity of Rhizoctonia solani, the<br />
causative agent of root rot in many plants.<br />
The present research was undertaken to access the<br />
effect of aqueous extracts of five plants in controlling the<br />
hatching of eggs of M. incognita, the root knot nematode in<br />
laboratory conditions.<br />
MATERIALS AND METHODS<br />
The effect of different concentrations of five selected<br />
plant extracts on egg hatching of M. incognita was evaluated<br />
as follows. The plants selected for the present study were<br />
mint (Mentha erecta), garlic (Allium sativum), ginger (Zingiber<br />
officinale), marigold (Tagetes erecta) and eucalyptus<br />
(Eucalyptus). 25 gms of dry leaves of mint, fresh leaves of<br />
marigold and eucalyptus, garlic bulbs and ginger rhizome were<br />
mixed separately in an electric blender in 100 ml of distilled<br />
water for 10 minutes and kept in water bath for 8 hours at<br />
65°C. These extracts filtered through muslin cloth and each<br />
filtrate was considered as standard solution of 100%<br />
concentration. Each extract was autoclaved at 15 lb pressure<br />
at 121°C temperature, allowed to cool and stored in refrigerator<br />
for further experimentation. (Ahmed, et al., 2004). Root samples<br />
of infected banana plant were collected from selected localities.<br />
Root samples were collected by digging the soil around the<br />
roots of the plants. Samples were collected in polythene bags<br />
and stored in refrigerator at 4°C. Fresh and uniform egg masses<br />
of M. incognita were collected using forceps. One egg mass<br />
of M. incognita was added to each petridish containing the<br />
extracts. The effect of different concentrations levels on the<br />
hatching of nematodes was determined at four intervals i.e 12,<br />
24, 48 and 72 hours. Data was recorded and comparison of<br />
hatching percentage were made on the basis of average 600<br />
eggs per egg mass.<br />
RESULTS AND DISCUSSION<br />
During the present study significant effect of different<br />
concentrations of five plant extracts were observed on the<br />
egg hatching of M. incognita.<br />
Aqueous extracts of all the selected plants delayed the<br />
egg hatching of M. incognita. The effect of different<br />
concentrations and exposure time on hatching of eggs varied<br />
with plant material and incubation period. In the control, egg<br />
hatching started after 4 hours, whereas for other treatments<br />
there was no hatching till 14 to 19 hours. The percentage of<br />
hatching increased from 24.8% - 31.2% at 12 hours to 63.1-<br />
70.1 at 72 hours in the control. In 0.5 % AMinE the egg hatching<br />
was delayed to 19 hours with 2.3 % egg hatching rate in<br />
comparison to 12 % hatching at 4 hours in control. The<br />
hatching increased to 16.2% at 24 hours and then decreased<br />
to 12.4 at 72 hours in 0.5 % concentration of AMinE. 100 %<br />
inhibition of egg hatching was observed in higher<br />
concentration i.e. 3 % and 4% of AMinE.<br />
The average time taken to start egg hatching was 17<br />
hours (3.8%) in 0.5% AGarE. The hatching increased to 17.3
KAUR and KATOCH, Effect of some Aqueous Plant Extracts on Egg Hatching of Meloidogyne 55<br />
% at 24 hours and then decreased to 10.2 % at 72 hours in 1%<br />
concentration of AGarE. In concentrations, 1%, 2% and 3%<br />
of AGarE egg hatching was delayed upto 24 hours. In AGinE,<br />
average time taken to start egg hatching was 17 hours with<br />
hatching rate 3% at 0.5 %. The hatching increased to 17.4% at<br />
24 hours and then decreased to 11.3% at 72 hours in 0.5%. In<br />
concentrations, 1% to 3% hatching started at 24 hours with<br />
rate of hatching 29.2% to 70.1% upto 72 hours. No hatching<br />
occurred in higher concentration i.e. 3% AGinE (72 hours).<br />
The egg hatching of M. incognita was delayed upto 15<br />
hours with egg hatching rate of 4% at 0.5% AEucE. In 1%, 2%<br />
and 3% AEucE delay was upto 24 hours with egg hatching<br />
rate 17.4%, 10.4% and 8% respectively. 100% inhibition was<br />
observed in higher concentrations 3% at 72 hours and 4%.<br />
In 0.5% concentration of aqueous marigold extract, the<br />
egg hatching of M .incognita was delayed upto 14 hours with<br />
egg hatching rate 5.2%. The hatching percentage increased<br />
to 19.8% at 24 hours and then decreased to 14.2% at 72 hours.<br />
In the present study, all the concentrations of aqueous<br />
extracts of various botanicals caused delay in hatching.<br />
According to the in vitro experiments conducted the average<br />
time taken to start hatching of eggs was 19 hours in 0.5%<br />
AMinE with only 2.3% of hatching followed by 17 hours delay<br />
in 0.5% AGarE and AGinE with 3% and 3.8% of hatch; 15<br />
hours delay in 0.5% AEucE with 4% of egg hatch and 14<br />
hours delay in 0.5% AMarE with 5.2% of egg hatch. Therefore,<br />
indicating AMinE to be the most effective in delaying and<br />
suppressing of hatching of eggs of M. incognita. Pandey<br />
and Kalra, 2010 reported the inhibition in hatching of eggs in<br />
the aqueous extracts of vermicompost produced from wastes<br />
of menthol mint (Mentha arvensis) and garden mint (Mentha<br />
viridis) i.e. 90.6% and 73.2% respectively. Oka, et al., 2000<br />
also reported essential oils of Mentha species as highly<br />
effective in causing hatching inhibition at concentration of<br />
600 µl/Lt in an in vitro and in pot experiment. According to<br />
them, isomers of 1, 2, epoxy methylacetate had highest<br />
nematicidal activity as compared to limonene and peperitone<br />
of M. retundifolia.<br />
Table 1.<br />
In the present study mint was found to be the most<br />
Effect of aqueous mint extract (AMinE) on egg<br />
hatching of M. incognita<br />
Treatment Concentration<br />
of extract<br />
Mint<br />
extract<br />
(leaves)<br />
Hatching (%)<br />
Average time<br />
taken to start<br />
hatching of<br />
eggs (%)<br />
12 24 48 72<br />
hours hours hours hours<br />
0.5% Nil 16.2 14.6 12.4 19 hours (2.3)<br />
1% Nil 14.2 11.8 10.1 24 hours<br />
(14.2)<br />
2% Nil 12.9 10.6 8.4 24hours<br />
(12.9)<br />
3% Nil Nil Nil Nil Nil<br />
4% Nil Nil Nil Nil Nil<br />
Control Distilled water 27.7 35.1 49.6 63.1 4 hours<br />
(13)<br />
effective botanicals among all the selected plants in inhibiting<br />
and controlling the hatching of eggs of M. incognita. In 3%<br />
AMinE at 48 hours reduced hatching to 0% followed by 4%<br />
AGarE 5% in AGinE; 5.3% in AEucE; 9.8% in AMarE. Abo-<br />
Elyousr, et al., 2009 found that garlic extract at a very low<br />
concentration (S/100) suppressed the nematode activity of<br />
M. javanica and M. incognita as was also evident with our<br />
finding. The present findings confirm nematicidal potential of<br />
ginger, Zingiber spp. as also indicated by Zareen, et al., 2003<br />
where aqueous extract of ginger significantly (P
56 Trends in Biosciences 5 (1), <strong>2012</strong><br />
Table 4.<br />
Effect of aqueous eucalyptus extract (AEucE) on<br />
egg hatching of M. incognita<br />
Treatment Concentration<br />
of extract<br />
Eucalyptus<br />
extract<br />
(leaves)<br />
12<br />
hours<br />
Hatching<br />
(%)<br />
24<br />
hours<br />
48<br />
hours<br />
72<br />
hours<br />
Average<br />
time<br />
taken to<br />
start<br />
hatching<br />
of eggs<br />
(%)<br />
0.5% Nil 18.4 15.4 14.8 15 hours<br />
(4%)<br />
1% Nil 17.4 14.3 12.1 24 hours<br />
(17.4)<br />
2% Nil 10.4 9.8 9.4 24hours<br />
(10.4)<br />
3% Nil 8 5.3 Nil Nil<br />
4% Nil Nil Nil Nil Nil<br />
Control Distilled water 27.9 35.8 52.7 67.3 4 hours<br />
(13)<br />
Table 5.<br />
Effect of aqueous marigold extract (AMarE) on<br />
egg hatching of M. incognita<br />
Treatment Concentration<br />
of extract<br />
Marigold<br />
extract<br />
(leaves)<br />
12<br />
hours<br />
Hatching (%)<br />
24<br />
hours<br />
48<br />
hours<br />
72<br />
hours<br />
Average<br />
time taken<br />
to start<br />
hatching of<br />
eggs (%)<br />
0.5% Nil 19.8 16.4 14.2 14 hours<br />
(5.2)<br />
1% Nil 16.2 14.1 12.9 17 hours<br />
(13.3)<br />
2% Nil 13.8 12.7 11.8 24hours<br />
(13.8)<br />
3% Nil 11.2 9.8 Nil 24hours<br />
(11.2)<br />
4% Nil Nil Nil Nil Nil<br />
Control Distilled water 24.8 34.7 57.9 69.1 4 hours<br />
(13)<br />
aqueous leaf extract of eucalyptus was effective and stopped<br />
hatching of eggs of M. javanica after 72 hours.<br />
The present study indicate the AMarE was least effective<br />
in causing delay and inhibition of hatching of eggs of M.<br />
incognita even at higher concentration i.e. 3%. Percentage of<br />
hatched eggs were 9.8% at 48 hours in comparison to 4–5.3%<br />
in rest of other extracts (AGarE, AGinE and AEucE) and no<br />
hatching in AMinE. These observations in contrast with<br />
Bhardwaj and Sharma, 2007 according to which all<br />
concentrations of Tagetes patula leaf extract inhibited the<br />
hatching except the lowest concentration 6.6% where in<br />
hatching was found to be 0.11% at 24 hour and it increased up<br />
to 0.33% at 48 hours. Hot water extract of T. patula was found<br />
to be even better in comparison to T. patula leaves in delaying<br />
the hatching of eggs as there was only 0.11% hatching at 48<br />
hours. Swarup and Sharma, 1967 reported T. erecta and T.<br />
halisciencis root extract were lethal or inhibited egg hatching<br />
of M. javanica, M. arenaria and M. incognita respectively.<br />
Pandey and Kalra, 2010 evaluated aqueous vermicompost<br />
extract having egg hatching inhibitory activity causing upto<br />
81.1% of inhibition. Toida, 1972 had also reported the inhibition<br />
of M. incognita juvenile hatch caused by root exudates of T.<br />
minuta.<br />
LITERATURE CITED<br />
Dawar, S., Younus, S.M. and Zaki, M.J. 2007. Use of Eucalyptus sp., in<br />
the control of M. javanica root knot nematode. , Pakistan Journal<br />
of Nematology, 39(6): 220, 9-2214.<br />
Hassan, S.M.E., Rahman, M. Sq., Amin, M. R., Majumdar, U.K. and<br />
Taj, H.F.El. 2001. Study of ginger on root knot disease of brinjal.<br />
Online journal of biological sciences, 1(7): 560-562.<br />
Lamberti, F. 1979. Economic of Meloidogyne spp. in subtropical and<br />
mediterran climates, in root knot nematodes (Meloidogyne species).<br />
In: Systematic, Biology and control (eds. Lamberti, F. and Taylor,<br />
C.F). Academic press, New York. pp. 341-357.<br />
Oka, Y., Nacar, S., Putievsky, E., Ravid, U., Yaniv, Z., and Spiegel, Y.<br />
2000. Nematicidal avtivity of essential oils their components against<br />
the root knot nematode. Phytopathology, 90: 710-715.<br />
Pandey, R and Kalra, A. 2010. Inhibitory effects of vermicompost<br />
produced from agrowaste of medicinal and aromatic plants on<br />
hatching in Meloidogyne (Kofoid and White) Chitwood. Current<br />
science, 98(6).<br />
Sasser, J. N. 1998. A perspective on nematode problems worldwide. In:<br />
Nematode Parasitic to cereals and legumes in temperate semi arid<br />
regions. (eds. Sasena, M. C., Sikora, R. A. and Srivastava). ICARDA.<br />
Syria, pp. 8-12.<br />
Sasser, J.N. 1979. Economic importance of Meloidogyne in tropical<br />
countries. In: Root knot nematodes (Meloidogyne spp.). Systemetics,<br />
Biology and Control (eds. Lamberti, F. and Taylor, C.E.). Academic<br />
Press, Newyork. pp. 359-374.<br />
Swarup, G. and Sharma, R.D. 1967. Effect of root extract of Asparagus<br />
racemosus and Tagetes erecta on hatch of eggs on M. javanica and<br />
M. arenaria. Indian Journal of Experimental Biology, pp. 5-59.<br />
Toida, Y. 1972. Nematicidal effect of Maxican marigold against<br />
nematodes associated with mulberry. Japanese Journal of<br />
Nematology, 1: 18-21.<br />
Zareen, A., Zaki, M.J. and Javed, N. 2003. Nematicidal activity of<br />
ginger and its effect on the efficacy of Pasteuria penetrans for the<br />
control of root knot nematodes on tomato. Asian journal of plant<br />
sciences, 2(11): 858-860.<br />
Recieved on 18-01-<strong>2012</strong> Accepted on 20.4.<strong>2012</strong>
Trends in Biosciences 5 (1): 57-60, <strong>2012</strong><br />
Effect of Bacterial Preparations on Development of Diacrisia obliqua<br />
ZEENAT WARSI AND AJAY CAPOOR<br />
Department of Zoology, Agra College, Agra, U.P.<br />
ABSTRACT<br />
This study was carried out to determined the effectiveness of<br />
different concentrations of all the bacterial preparations of<br />
B.thuringiensis like Dipel, Thuricide HP, Bactospeine against<br />
the development of test insect Bihar hairy caterpillar i.e. D.<br />
obliqua. The biocontrol agents such as Bacillus thuringiensis<br />
used for controlling Lepidopteran, coleopteran and dipteran<br />
pests. These insecticides are considered safe to the environment<br />
and natural enemies. It is evident from the result of the<br />
experiments that lethal concentration of dipel had marked effect<br />
on the larval development and it is also significant that the<br />
surviving larvae of D. oblique were shorter in length, and<br />
lighter in weight when compared with control.<br />
Key words<br />
Diacrisia obliqua, efficacy insecticide, bacillus<br />
thuringiensis<br />
The worldwide attention is to develope to compounds<br />
acting selectively on same groups of insects by inhibiting the<br />
activity of bio chemical sides such as respiration<br />
(diafenthiuron), the nicotinyl acetyl chlorine receptor, the<br />
salivary glands of sucking pests (pymetrozine). Progress has<br />
been made to introduce improved bio control agents such as<br />
Bacillus thuringiensis (Bt) for controlling lepidopteran,<br />
coleopteran and dipteran pests. Bt kills insects primarily<br />
through the ation of delta-endotoxins, a proteinous<br />
constituents produced during sporulation it effect the insects<br />
midgut epithelium. Many insecticides such as cholorinated<br />
hydrocarbon, organophosphates, carbonates etc. where used<br />
in the controlloing insects pest but many of these insecticides<br />
are harmful to man and beneficial organism which causes<br />
ecological disturbances.<br />
MATERIALS AND METHODS<br />
The effect of different concentrations was studied on<br />
all the bacterial preparations viz., Dipel, Thuricide HP,<br />
Bactospeine on the development of D.obliqua was studied in<br />
response to their application to Moth by Leaf dip method and<br />
Topical method (Table 1).<br />
Leaf dip method was studied with immediately hatched<br />
larvae obtained from females fed on a strength of a bacterial<br />
preparation were employed. This was tested by one experiment<br />
designed separately for each strength of bacterial preparation.<br />
Twenty such larvae per replicate were reared on tender leaves<br />
of host plants until their pupation, number of larvae pupated,<br />
their developmental duration and survival were recorded.<br />
These pupae were kept to obtain adults on emergence of<br />
adults, the number of adults emerged and their pupal period<br />
were recorded. Besides these, the sex ratio of adults was also<br />
recorded. The experiment was further extended to record the<br />
life duration of males and females. For this purpose males and<br />
females were maintained individually in glass chimneys on<br />
daily supply of 20% of sugar solution till their natural death<br />
and on their expiry of longevity was recorded.<br />
Topical method of treatment was studied experimentally<br />
with newly hatched larvae of adults which were already forced<br />
to contact their residue film of a strength of each bacterial<br />
preparation. Twenty such larvae were reared on leaves of C.<br />
juncea till their pupation and when they pupated the number<br />
of pupae obtained and the larval period were recorded. The<br />
pupae were kept in glass chimneys date wise and when moths<br />
emerged from them, their number and pupal periods were<br />
noted. Besides this the sex ratio was also recorded. The<br />
experiment was further extended for recording the life span of<br />
males and female moths. For this purpose males and females<br />
were maintained individually date wise in glass chimneys on<br />
daily supply of 20% sugar solution till their natural death and<br />
on expiry of their longevity was recorded.<br />
RESULTS AND DISCUSSION<br />
The larva of untreated adults with different<br />
concentrations were reporte 89.43% survival. In response to<br />
treatment by leaf dip method with different concentrations of<br />
the Dipel, result showed that the larval survival , varying from<br />
22.14%-64.36% and decreasing with the advancing<br />
concentration depended on the concentration of the Dipel.<br />
Further the larvae of the untreated adults grew faster than of<br />
the adults treated with any concentration of the Dipel. The<br />
leaf dip treatment with any concentration of the Dipel curtailed<br />
the longevity of both male and female adults significantly as<br />
compared to non-treatment at early stage. The female live<br />
longer than the male in response to treatment with any<br />
concentration of the Dipel. The life span in both sexes<br />
decreasing with the increasing concentration. In response to<br />
treatment by leaf dip method with different concentrations of<br />
Dipel from 0.05%-1.0% the pupal period varying from 14.52-<br />
29.18 days and increasing with the increasing concentration.<br />
The percentage of the emergence varying from 22.28% to<br />
70.62% and decreasing with the increasing concentration but<br />
there was no significant difference observed in the pupal period<br />
in both treatments and 0.05%.<br />
In response to parents treatment with Dipel under<br />
Topical method, the larval period varied from 24.42 to 40.43<br />
days among different concentrations.<br />
The treatment of parent adults with residue film of all<br />
concentration of the Dipel reduced the longevity in adults of
58 Trends in Biosciences 5 (1), <strong>2012</strong><br />
Table 1.<br />
Mode of treatment Concentration(%) Pupation(%) Larval period(days) Emergence(%) Pupal<br />
period(days)<br />
L.D.M.<br />
T.M.<br />
Effect of Dipel on post embryonic development in D. oblique at different concentrations under different modes of<br />
treatment.<br />
0.05 65.35 22.65±0.68 70.62 14.52±0.56<br />
0.10 57.38 24.85±0.26 60.54 16.76±0.75<br />
0.50 44.44 28.47±0.25 40.34 20.64±0.31<br />
0.75 35.26 34.24±0.26 35.27 24.44±0.56<br />
1.00 22.14 36.42±0.44 22.28 29.18±0.91<br />
0.05 70.65 24.42±0.54 70.74 16.17±0.88<br />
0.10 58.37 25.42±0.84 60.83 17.72±0.94<br />
0.50 45.26 26.72±0.72 41.37 20.84±0.44<br />
0.75 36.68 30.57±0.77 38.33 24.52±0.14<br />
1.00 25.42 40.43±0.67 25.74 30.41±0.48<br />
Control 89.42 16.35±0.42 100.00 12.76±0.32<br />
both sexes as compared to the untreated parent adults. The<br />
life span of progeny adult in either sex verifying from 3.45 to<br />
7.80 days in male and from 3.55 to 9.76 days in females in<br />
response to residue films of different concentrations and<br />
tending to be in indirectly proportional to the residue film<br />
concentration and differed significantly with the strength of<br />
the residue film of the Dipel (P
Table 3.<br />
WARSI AND CAPOOR, Effect of bacterial preparations on development of diacrisia obliqua 59<br />
Effect of Thuricide HP on post embryonic development in D. obliqua at different concentrations under different<br />
modes of treatment. (Values are mean ± S.E.)<br />
Mode of treatment Concentration (%) Pupation (%) Larval period (days) Emergence (%) Pupal period (days)<br />
L.D.M.<br />
0.05 69.42 22.76±0.68 71.72 14.82±0.42<br />
0.10 58.48 26.52±0.66 65.65 15.76±0.44<br />
0.50 48.24 28.27±0.28 54.72 19.76±0.42<br />
0.75 36.37 33.32±0.37 42.65 23.86±0.56<br />
1.00 25.26 36.46±0.72 22.12 29.76±0.40<br />
T.M.<br />
0.05 69.85 19.64±0.75 72.82 14.94±0.22<br />
0.10 58.40 24.78±0.69 68.47 15.78±0.34<br />
0.50 48.32 26.85±0.42 56.32 20.87±0.46<br />
0.75 36.72 30.75±0.17 48.11 23.60±0.06<br />
1.00 27.12 36.30±0.12 29.75 28.70±0.82<br />
Control 89.43 16.35±0.42 100.00 12.76±0.32<br />
Table 4.<br />
Mode of<br />
treatment<br />
L.D.M.<br />
T.M.<br />
Effect of Thuricide HP on longevity in male and<br />
female D. obliqua at Different modes of treatment<br />
(Values are mean ±S.E.)<br />
Concentration<br />
(%)<br />
Longevity (in days)<br />
Male<br />
Female<br />
0.05 7.92±0.22 8.24±0.42<br />
0.10 7.86±0.44 7.84±0.44<br />
0.50 6.06±0.42 6.06±0.28<br />
0.75 5.04±0.22 5.50±0.20<br />
1.00 3.76±0.15 3.86±0.25<br />
0.05 8.60±0.22 8.90±0.42<br />
0.10 7.02±0.42 7.00±0.46<br />
0.50 6.06±0.45 6.87±0.37<br />
0.75 5.66±0.14 5.80±0.88<br />
1.00 3.68±0.32 3.94±0.36<br />
Control 11.35±0.22 13.76±0.24<br />
applied through leaf dip method prolonged the larval period<br />
varying from 20.86 to 33.35 days and prolonged the pupal<br />
period as compared with the control experiment. The pupal<br />
stage varied from 14.75 to 27.12 days among different<br />
concentration (Table 3). The Leaf dip treatment with any<br />
concentration of the Bactospeine reduce the life span of<br />
progeny adults of the both sexes as compared to the untreated<br />
once. In male moth, the longevity varies from 4.82 to 7.56 days<br />
and in female from 4.05 to 7.66 days differed with the<br />
concentration of the Bactospeine (Table 6).<br />
All concentration of the Bactospeine applied under<br />
Topical method to adults reduced the larval survival and<br />
delayed the pupation as compared to the untreated condition<br />
of parents. The larval period varying from 19.08 to 32.42 days<br />
and prolonging with the advancing concentration of<br />
Bactospeine differed from concentration to concentration<br />
applied earlier by Topical method (Table 5) and the larval<br />
survival varying from 26.52% to 76.25% among different<br />
concentrations from 0.05% to 1.0%<br />
Table 5.<br />
Mode of treatment Concentration (%) Pupation (%) Larval period (days) Emergence (%) Pupal period (days)<br />
L.D.M.<br />
T.M.<br />
Effect of Bactospeine on post embryonic development in D. obliqua at different concentrations under different<br />
modes of treatment. (Values are mean ± S.E.)<br />
0.05 72.76 20.86±0.12 71.82 14.75±0.12<br />
0.10 59.72 22.24±0.14 67.35 15.76±0.22<br />
0.50 48.46 26.18±0.44 54.36 18.52±0.24<br />
0.75 38.57 30.74±0.28 40.21 23.22±0.46<br />
1.00 25.16 33.35±0.79 22.28 27.12±0.22<br />
0.05 76.25 19.08±0.64 75.72 15.25±0.20<br />
0.10 60.72 22.02±1.14 70.25 16.60±0.24<br />
0.50 49.48 24.25±2.12 60.35 18.72±0.46<br />
0.75 38.84 28.42±0.12 42.11 22.15±0.48<br />
1.00 26.52 32.42±0.14 23.82 26.26±0.68<br />
Control 89.43 16.35±0.42 100.00 12.76±0.32
60 Trends in Biosciences 5 (1), <strong>2012</strong><br />
Table 6.<br />
Mode of<br />
treatment<br />
L.D.M.<br />
T.M.<br />
Effect of Bactospeine on longevity in male and<br />
female, D. obliqua at different modes of treatment.<br />
(Values are mean ± S.E.)<br />
Concentration<br />
(%)<br />
In the concentration range of 0.05% to 1.0% the<br />
emergence varying from 23.82% to 75.72% and tending to<br />
decrease with the increasing concentration. The male adult<br />
obtained from the control experiment had the more life span<br />
(11.35 days) as compared to the adult obtained from the parents<br />
treated with any concentration of the Bactospeine and this<br />
fact was applicable to the female adult also. The longevity of<br />
the male adult varying from 4.96 to 7.52 days and that of the<br />
female adult varying from 3.36 to 7.90 days tended to decrease<br />
with the increase in the concentration of the Bactospeine.<br />
(Table 6).<br />
It is evident from the results of the experiments that<br />
lethal concentration of Dipel had marked effect on the larval<br />
development. It would be worthy to mention that surviving<br />
larval of D.obliqua were significantly shorter in the length<br />
and lighter in weight when compared with control. Larvae<br />
also manifested prolongation in larval duration besides<br />
pupation of D.obliqua larvae over and above this moth larval<br />
casualty was also noted in treated moths.<br />
ACKNOWLEDGEMENT<br />
Longevity (in days)<br />
Male<br />
Female<br />
0.05 7.56±0.12 7.66±0.14<br />
0.10 6.80±0.14 7.20±0.13<br />
0.50 6.42±0.43 6.09±0.82<br />
0.75 6.02±0.03 6.80±0.60<br />
1.00 4.82±0.16 4.05±0.26<br />
0.05 7.52±0.12 7.90±0.24<br />
0.10 7.82±0.14 6.85±0.58<br />
0.50 6.48±0.14 6.60±0.36<br />
0.75 6.26±0.18 5.92±0.48<br />
1.00 4.96±0.26 3.36±0.32<br />
Control 11.35±0.22 13.76±0.24<br />
Authors are grateful to Dr. A.V. Singh, Principal, Agra<br />
College, Agra and Dr. R. S. Rawat, Head Department of<br />
Zoology, Agra College, Agra, for providing facilities and<br />
constant encouragement.<br />
LITERATURE CITED<br />
Ali, Abbas and Young, S.Y. 1993. Effect of rate and spray volume of<br />
B.thuringiensis var Kurstaki ; on activity against Heliothis virescens<br />
(Lepidoptera : Noctuidae) and persistence in cotton terminals. J.<br />
Econ. Entomol., 86(3): 735-738.<br />
Bajpai, Anju. 2003. Studies on the effects of Bacillus thuringiensis<br />
Ber.on the growth and development of Leucinodes orbonalis.Indian<br />
society of Life Science. pp.75-77.<br />
Cantwell, G.E., William, W.C.and Cantwell, M.A. 1986. Effect of ß-<br />
toxin of B.thuriengiensis on the development of Mexican bean<br />
beetle (Epilachna varivosis) (Coleoptera : Coccinellidae). Great<br />
lakes Entomol., 19(2):77-80.<br />
Chandra, A. Kaushik, N.C. and Gupta, G.P. 1996. Studies of B.<br />
thuringiensis on growth and development of Helicorverpa armigera.<br />
Hubner Annl. Pl. Prot. Sci., 7(2):154-158.<br />
Chaturvedi, R.K. 2003. Studies on the effectiveness of Bacillus<br />
thuringiensis Ber. Against Utetheisa pulchella Linn. (Lepidoptera :<br />
Arctiidae). Indian society of life sciences. pp. 68-69.<br />
Dulmage, H.T. and Martinez, E. 1973. The effect of continuous exposure<br />
to low concentration of delta- endotoxin of B. thuringiensis on<br />
the development of tobacco bud worm, Heliothis virescens. J.<br />
Invertebr. Patho., 22 : 14-22.<br />
Huang, F.N. Buschman, L.L; Higgins, R.A. 2005. Larval survival and<br />
development of susceptible and resistant -Ostrinia nubilalis<br />
(Lepidoptera : Pyralidae ) on diet containing B. thuringiensis.<br />
Agric and Forest, Ent. 7(1): 45-52.<br />
Salama, H.S., Foda, M.S., El-Sharaby, A., Matter, M. and Khalafallah,<br />
M. 1981. Development of some lepidopterous cotton pests as<br />
affected by exposure to sub-lethal level of endotoxin of<br />
B.thuringiensis for different period. J. Invertebr. Pathol., 38(2):220<br />
-227.<br />
Sharma, M. 1993. Effect of certain insect growth regulators on the<br />
growth and development of U. pulchella Linn. (Lep. : Arctiidae)<br />
A. Thesis submitted to Kanpur university for the award of Ph.D.<br />
Degree in Zoology.<br />
Sreenivas, A.G.; Ashoka, j.; Patil, B.V. 2002. Evaluation of the effects<br />
of Bacillus thuringiensis (Berlin er) commercial products against<br />
mulberry silkworm, Bombyx mori (L.). Indian Journal of Sericulture,<br />
41(1): 54-56.<br />
Srivastava, K.L. and Ramkrishnan, N. 1980. Potency of Bactospeine<br />
and Dipel, two commercial formulations of B. thuringiensis Berliner<br />
against Castor semilooper, Achea janata Linn. Indian J. Ent., 42(2):<br />
769-771.<br />
Recieved on 15-9-2011 Accepted on 30-12-2011
Trends in Biosciences 5 (1): 61-63, <strong>2012</strong><br />
Determination of Antimycobacterial Activity of Polyenzyme Preparation Immunoseb-<br />
S using In Vitro Methods<br />
ANITA JOSHI 2 , SHILPA RISBUD 2 , BHAVANA PRADHAN 2 , SMITA DESHPANDE 1<br />
AND RENU BHARADWAJ 1<br />
1<br />
Medical College, Pune. 2 Advanced Enzyme Technologies Ltd. Thane<br />
email : renu.bharadwaj@gmail.com<br />
ABSTRACT<br />
The polyenzyme formulations developed by Advanced Enzyme<br />
Technologies Ltd., Thane, Exclzyme and Immunoseb-S, were<br />
tested for their ability to inhibit the growth of the tubercle<br />
bacilli. For this, the liquid medium method (REMA) was used.<br />
It was found that both the formulations have antitubercular<br />
properties and can inhibit the growth of M tuberculosis at a<br />
Minimum Inhibitory Concentration of 5 and 10 mg/ml<br />
respectively. Although it was not possible to show any<br />
potentiation of standard drugs by in vitro methods, a detailed<br />
study using MDR strains and sensitive strains showed that the<br />
novel formulations are equally effective against both sensitive<br />
and MDR strains. Exclzyme and Immunoseb-S may hence be a<br />
major breakthrough in the management of MDR tuberculosis.<br />
Key words<br />
Polyenzyme formulation, novel antimicrobial, broad<br />
spectrum antimicrobial, MIC, synergy<br />
Currently, tuberculosis is one of the greatest contributors<br />
to adult mortality among infectious diseases. The disease is<br />
responsible for approximately 2 million deaths every year.<br />
According to the WHO, India has the largest no. of TB cases<br />
in the world, accounting for nearly one third of the global<br />
burden. Additionally the HIV epidemic has had a dramatic<br />
impact on the global epidemiology of TB since it is the most<br />
commonly occurring secondary infection in HIV patients.<br />
Tuberculosis is also a major cause for concern due to<br />
the emergence of multi drug resistant strains of<br />
Mycobacterium tuberculosis (MDR-TB). These strains show<br />
resistance to Isoniazid and Rifampicin, the two most powerful<br />
anti-TB drugs, with or without resistance to other drugs<br />
(Paramasivan, 1998). The problem of drug resistance is most<br />
severe in developing countries such as India and China<br />
(Martin, et al., 2003) where additionally poor socioeconomic<br />
conditions, population, HIV and poorly implemented health<br />
measures prevail. Consequently, there is a need for new drugs<br />
for the treatment of TB.<br />
Several plant extracts and other natural bioactive<br />
molecules are being screened as alternatives to these<br />
conventional medicines (Ramaswamy, et al., 2000). Thus to<br />
control the spread of TB it is imperative that cases be detected<br />
and treated effectively in a time bound manner.<br />
Conventionally, antimycobacterial drug susceptibility<br />
testing is done by the agar proportion method using the<br />
inexpensive Lowenstein Jensen medium or Ogawa medium or<br />
Middlebrook’s medium in which results are obtained only after<br />
6-8 weeks. Owing to this, attempts are being made to develop<br />
novel methods in which the test is done using liquid media<br />
(Luz Caviedes, et al., 2000). These methods have been found<br />
to be simple, rapid, quantitative and inexpensive and are done<br />
in microtiter plates. They employ an oxidation-reduction<br />
indicator such as Alamar blue which changes colour from<br />
blue to pink during growth (Varma et al., 2000, Yajko, et al.,<br />
1995, Franzblau, et al., 1998) or MTT which is a tetrazolium<br />
dye. A good correlation has been obtained between the<br />
method and the conventionally used agar proportion method<br />
(Varma, et al., 2002). Further modification by Martin et al.,<br />
2003 suggests the use of the indicator Resazurin which has<br />
been found to be the main component of Alamar blue and is<br />
readily available.<br />
In this study we have used the Resazurin method of<br />
Martin et al., 2003 to screen for antituberculosis properties of<br />
polyenzyme formulations, Exclzyme and Immunoseb-S. We<br />
further modified the method by replacing Middlebrook’s<br />
medium with Kirchner’s medium without the phenol red<br />
indicator. The Mininmum Inhibitory Concentrations of the<br />
formulations were determined. Lastly, the possibility of the<br />
effect of these polyenzymes as potentiators of<br />
antituberculosis drugs was also explored.<br />
MATERIALS AND METHODS<br />
The medium used for culturing organisms was the<br />
Kirchner’s medium without phenol red indicator. The medium<br />
was supplemented with filtered 10% horse serum, Penicillin<br />
100 U/ml of medium and Cycloheximide.<br />
Cultures used in the study were maintained on<br />
Lowenstein Jensen medium. The standard strain of<br />
Mycobacterium tuberculosis: H37RV for screening for<br />
antimycobacterial activity and determination of MIC values.<br />
For the potentiation studies, five known sensitive clinical<br />
isolates and five known MDR isolates were used.<br />
Standard antibiotics used were Rifampicin and <strong>IN</strong>H. The<br />
polyenzymes were dissolved in Tris buffer pH 7.0. Screening<br />
for anti-TB activity and MIC determination were done as per<br />
the method described by Martin et al, 2003 in microtiter plates.<br />
Briefly, serial dilutions of standard drugs and test formulations<br />
were done in tubes. From these, 100 ml was added to
62 Trends in Biosciences 5 (1), <strong>2012</strong><br />
appropriate wells. To these, 100 ml of standardized suspension<br />
of H37RV was added and the plates were incubated at 37ºC for<br />
7 days. Resazurin (0.01% w/v in distilled water; 30 ml) was<br />
added to each well on the seventh day and the plates were<br />
incubated further for 48 hours. Change in colour for every<br />
well was recorded and MIC was calculated.<br />
Change in colour to pink indicated that growth /<br />
respiratory metabolism had taken place. Thus MIC was the<br />
highest dilution which prevented change in colour from blue<br />
to pink.<br />
After determination of MIC values of Exclzyme and<br />
Immunoseb-S, a study was undertaken to study the effect of<br />
the two formulations on 5 sensitive and 5 MDR strains and to<br />
determine whether it was possible to decrease the MIC values<br />
of standard drugs such as Rifampicin and <strong>IN</strong>H by using fixed<br />
concentrations of polyenzymes along with different dilutions<br />
of the standard drug. Thus a test was designed to study<br />
whether any combination therapy was possible with Exclzyme<br />
and Immunoseb-S.<br />
The method used was a combination assay in microtitre<br />
plates with Kirchner’s medium in which Resazurin was added<br />
as a growth indicator on the seventh day. Briefly, serial dilutions<br />
of standard drugs and test formulations were done in tubes.<br />
To wells 50 ml of polyenzyme (MIC concentration) and 50 ml<br />
of dilution of standard antibiotic wee added. Next, 100 ml of<br />
standardized inoculum of the above mentioned clinical isolates<br />
was added to each well. Appropriate controls were included<br />
in each test. Incubation period for each test was 7 days at 37<br />
0<br />
C. Plates were sealed. On the seventh day, Resazurin was<br />
added to each well and the plates were incubated further for<br />
48 hours. The plates were interpreted as before.<br />
RESULTS AND DISCUSSION<br />
Based on these observations, MIC value for MIC value<br />
for Exclzyme was 5 mg/ml and for Immunoseb-S was 10 mg/ml.<br />
The MIC of <strong>IN</strong>H = 0.25 mg/ml and that of Rifampicin = 1 mg/ml<br />
reflecting the accuracy of the assay. The above results were<br />
confirmed using standard staining methods: acid fast bacilli.<br />
Controls for enzyme, antibiotics were blue. Growth control<br />
was pink.<br />
It was observed that it was possible to grow<br />
Mycobacterium tuberculosis using Kirchner’s liquid medium<br />
in seven days instead of the usual 3-4 weeks required on solid<br />
media such as LJ medium. Furthermore, MIC could be<br />
determined in 9 days. MIC values of standard drugs<br />
corresponds to values documented in literature<br />
Both novel formulations Exclzyme and Immunoseb-S<br />
have anti-tubercular properties. The MIC of Exclzyme was 5<br />
mg/ml and MIC of Immunoseb-S was 10 mg/ml.<br />
In the potentiation studies, the MIC values of Rifampicin<br />
and <strong>IN</strong>H did not drop due to addition of Exclzyme and<br />
Immunoseb-S. Thus, the polyenzymes do not have any<br />
potentiation effect on standard antibiotics in vitro<br />
However, it must be noted that Exclzyme and<br />
Immunoseb-S are equally effective at the same concentrations<br />
against both sensitive as well as resistant strains.<br />
Table 2.<br />
MIC values for Exclzyme in combination and alone<br />
Sensitive strains Excl <strong>IN</strong>H <strong>IN</strong>H+ Excl Rifa Rifa+ Excl<br />
A 5 0.125 0.25 0.5 0.5<br />
B 10 0.125 0.25 0.5 0.5<br />
C 5 0.125 0.125 0.25 0.25<br />
D 5 0.062 0.125 0.5 0.25<br />
E 5 0.125 0.125 0.5 0.5<br />
Resistant strains<br />
A 5 0.5 0.25 0.5 0.5<br />
B 5 0.25 0.25 10 0.5<br />
C 10 0.125 0.125 0.25 0.25<br />
D 5 0.25 0.25 1 0.5<br />
E 10 0.25 1 1 0.5<br />
Table 3.<br />
MIC values for Immunoseb-S in combination and<br />
alone<br />
Sensitive strains SEB-S<br />
Mg/ml<br />
<strong>IN</strong>H<br />
g/ml<br />
<strong>IN</strong>H+ SEB-s<br />
g/ml<br />
Rifa<br />
g/ml<br />
Rifa + SEB-s<br />
g/ml<br />
A 5 0.125 0.125 0.5 0.5<br />
B 10 0.125 0.062 0.5 0.5<br />
C 10 0.125 0.25 0.25 0.25<br />
D 10 0.062 0.25 0.5 0.5<br />
E 5 0.125 0.125 0.5 0.5<br />
Resistant strains<br />
A 10 0.5 0.5 0.5 0.5<br />
B 5 0.25 0.25 10 1<br />
C 10 0.125 0.125 0.25 0.25<br />
D 10 0.25 0.25 1 0.5<br />
E 10 0.25 0.5 1 0.25<br />
Controls: Growth control: pink indicating growth<br />
Enzyme / antibiotic controls: blue indicating inhibition<br />
Table 1. Exclzyme<br />
Dilution (mg/ml) 40 20 10 5 2.5 1.25 0.62 0.31 0.15 0.07<br />
Colour of medium Blue Blue Blue Blue Pink Pink Pink Pink Pink Pink<br />
Immunoseb-S:<br />
Dilution (mg/ml) 40 20 10 5 2.5 1.25 0.62 0.31 0.15 0.07<br />
Colour of medium Blue Blue Blue Pink Pink Pink Pink Pink Pink Pink<br />
Std drugs:<br />
<strong>IN</strong>H g/ml 4 2 1 0.5 0.25 0.125<br />
Colour of medium Blue Blue Blue Blue Blue Pink<br />
Rifampicin g/ml 4 2 1 0.5 0.25 0.125<br />
Colour of medium Blue Blue Blue Pink Pink Pink
JOSHI, et al., Determination of Antimycobacterial Activity of Polyenzyme Preparation Immunoseb-S 63<br />
The in vitro results are definitely encouraging and in<br />
vivo studies in appropriate models need to be undertaken.<br />
ACKNOWLEDGEMENT<br />
The authors wish to thank Mr. V. L. Rathi and Mr. C. L.<br />
Rathi, of Advanced Enzyme Technologies Ltd., Thane, and<br />
Specialty Enzymes Co. USA, not only for funding this study<br />
at the B. J. Medical College, Pune but also for their enthusiastic<br />
encouragement, valuable inputs and support throughout these<br />
studies. The authors also wish to thank Dr. A. Martin<br />
Mycobacteriology Unit, Institute of Tropical Medicine,<br />
Nationalestraat, 155, Antwerp, B-2000 Belgium for his patient<br />
support and inputs.<br />
Fig.1.<br />
The Resazurin Microtiter Assay for determination of<br />
MIC values of antimycobacterial drugs.<br />
Pink : growth or no inhibition Blue : inhibition<br />
The following study was undertaken to determine<br />
whether the novel polyenzyme formulations Exclzyme and<br />
Immunoseb-S developed by Advanced Enzyme Technologies<br />
Ltd., Thane have any antitubercular properties. Furthermore,<br />
the possibility of using the formulations in combination with<br />
the currently used drugs was also explored.<br />
It was found that the two formulations have<br />
antitubercular properties and the Minimum Inhibitory<br />
Concentration (MIC) values were established using the<br />
Resazurin Microtiter Assay (REMA) for M. tuberculosis. The<br />
MIC value was 5 and 10 mg/ml respectively.<br />
However, the use of the polyenzyme formulations in<br />
conjunction with Rifampicin or <strong>IN</strong>H did not lower the<br />
established MIC values of Rifampicin and <strong>IN</strong>H. This shows<br />
that it was not possible to demonstrate potentiation of standard<br />
fdrugs by using polyenzyme formulations by in vitro methods.<br />
Nevertheless, an interesting finding of this study was<br />
that MDR strains and sensitive strains showed a similar<br />
response to the polyenzyme formulation. Therefore the use<br />
of the formulations could be a breakthrough in the management<br />
of MDR strains.<br />
It should also be noted that since more than one enzyme<br />
has been included in the formulation, development of<br />
resistance to the formulation may be a complicated and unlikely<br />
phenomenon. This may help restrict circulation of MDR<br />
strains.<br />
LITERATURE CITED<br />
Franzblau, S. G., R. S. Witzig, J. C. McLaughlin, P. Torres, G. Madico, A.<br />
Hernandez, M. T. Degnan, M. B. Cook, V. K. Quenzer, R. M.<br />
Ferguson, and R. H. Gilman. 1998. Rapid, low-technology MIC<br />
determination with clinical Mycobacterium tuberculosis by using<br />
the Microplate Alamar Blue Assay. J. Clin. Microbiol., 36:362-<br />
366.<br />
Luz Caviedes, Tien-Shun Lee, Robert, H. Gilman, Patricia Sheen, Emily<br />
Spellman, Ellen H. Lee, Douglas E. Berg, Sonia Montenegro-James,<br />
and The Tuberculosis Working Group in Peru. 2000 Rapid, Efficient<br />
Detection and Drug Susceptibility Testing of Mycobacterium<br />
tuberculosis in Sputum by Microscopic<br />
Observation of Broth Cultures. Journal of Clinical Microbiology,<br />
38(3):1203-1208.<br />
Martin, A., Camacho, M., Portaels, F. and Palomino, J.C. 2003. Resazurin<br />
Microtiter Assay Plate testing of Mycobacterium tuberculosis<br />
Susceptibilities to second-line drugs: rapid, simple and inexpensive<br />
method. Antimicrobial agents and Chemotherapy, 47(11): 3616-<br />
3619.<br />
Paramasivan, C.N. 1998. An overview on drug resistant tuberculosis in<br />
India. Ind. J. Tub., 45: 73-81.<br />
Ramaswamy, A.S. and Sirsi, M., 2000. Antitubercular activity of some<br />
chemical constituents from higher plants. Ind. J. of Pharmacy,<br />
22(2): 34-35.<br />
Varma, M., Kumar, S., Kumar, A. and Bose, M. 2002. Comparison of<br />
Etest and Agar proportion method of testing drug susceptibility of<br />
M tuberculosis. Ind. J. Tub., 490: 217-220.<br />
Yajko, D.M., Madej, J.J., Lancaster, M. V., Sanders, C. A., Cawthon, V.<br />
L., Gee, B., Babst, A. and Hadley, W. K. 1995. Colorimetric method<br />
for determining MICs of antimicrobial agents for Mycobacterium<br />
tuberculosis. J. Clin. Microbiol. 33:2324-2327.<br />
Recieved on 7-2-<strong>2012</strong> Accepted on 12.4.<strong>2012</strong>
Trends in Biosciences 5 (1): 64-67, <strong>2012</strong><br />
Genetic Divergence Analysis in Faba Bean (Vicia faba L.)<br />
B.K. CHAUBEY 1 , C.B. YADAV 1 , V.K. MISHRA 2* AND K. KUMAR 1<br />
2<br />
Department of Genetics and Plant Breeding, 1 Department of Plant Molecular Biology and Genetic<br />
Engineering, N. D. University of Agriculture and Technology, Kumarganj, Faizabad 224 229 (U.P.)<br />
*e-mail: vinay.mishra111@gmail.com<br />
ABSTRACT<br />
A ?eld experiment was conducted at N.D.U.A. & T., Kumarganj,<br />
Faizabad, to study genetic diversity in faba bean (Vicia faba L.)<br />
landraces. Seventy random germplasm accessions were grown<br />
in an augmented block design. The genetic divergence existing<br />
in 70 faba bean germplasm collection was studied by employing<br />
non-hierarchical Euclidean cluster analysis for 11 quantitative<br />
characters. The 70 genotypes were grouped into eight distinct<br />
clusters, this indicated existence of high degree of genetic<br />
diversity among germplasm collection in the present study.<br />
The eight clusters in divergence analysis contained genotypes<br />
of heterogeneous origin, thereby indicating no parallelism<br />
between genetic and geographic diversity. Therefore, crosses<br />
between the members of clusters separated by high inter-cluster<br />
distance are likely to throw desirable segregants. The different<br />
clusters showed considerable differences in intra-cluster group<br />
means of eleven characters and genotypes having distinctly<br />
different mean performance for various characters were<br />
separated into different clusters.<br />
Key words<br />
Fababean, genetic divergence, segregants, clusters.<br />
Faba bean ( Vicia faba L.) is one of the most important<br />
legumes in the world. Due to its partial cross-pollination, faba<br />
bean is highly heterogeneous and consequently contains<br />
broad genetic variation within varieties and landraces, which<br />
make the conservation of germplasm resources more expensive<br />
and difficult (Duc, et al., 2010, Gemechu, et al., 2005). Genetic<br />
diversity arises either due to geographical separation or due<br />
to genetic barriers to crossability (Singh, 1990). Whether<br />
differences in geographic origin (source) imply genetic<br />
distance in parental selection for hybridization is still a matter<br />
of some controversy. Joshi and Dhawan, 1966 suggested the<br />
concept that geographic diversity may serve as an index of<br />
genetic diversity in parental selection. Others argue that<br />
genetic divergence was not apparently related to geographic<br />
diversity in some crops (Durga Prasad, et al., 1985, Sindhu,<br />
1985, Nadaf, et al., 1986, Rezai and Frey, 1990, Katule, et al.,<br />
1992).<br />
MATERIALS AND METHODS<br />
The experiment was conducted at the Student’s<br />
Instructional Farm of Narendra Deva University of Agriculture<br />
and Technology, Narendra Nagar (Kumarganj), Faizabad (U.P.),<br />
India, which is geographically situated between 26.47 0 N<br />
latitude, 82.12 0 E longitudes and at an altitude of 113 meters<br />
above the mean sea level in the gangetic plains of eastern U.P.<br />
The climate of district Faizabad is semi-arid with hot summer<br />
and cold winter. Nearly 80 per cent of total rainfall is received<br />
during the monsoon (only upto September) with a few showers<br />
in the winter. The experimental material for the present<br />
investigation consisted of 70 germplasm lines of faba bean<br />
and three check varieties namely, PRT 7, PRT 12 and Vikrant<br />
were planted in augmented block design with three checks<br />
repeated after every 10 lines of the test entries. The checks<br />
were distributed systematically in each block. Each entry and<br />
checks were grown in double row of 4 m length; spaced 30 cm<br />
apart and distance of plants within rows was maintained at<br />
about 10 cm by thinning. Observations on days to 50%<br />
flowering, days to maturity, plant height (cm), number of<br />
branches per plant, number of pods per plant, number of<br />
seeds per pod, biological yield per plant (g), seed yield per<br />
plant (g) , harvest index (%), 100-seed weight and protein<br />
content (%) were recorded on the basis of five plants randomly<br />
selected and tagged from each row except for days to 50%<br />
flowering and days to maturity, which were recorded on the<br />
plot basis. All the recommended cultural practices were<br />
followed to raise a good crop (Table 4).<br />
RESULTS AND DISCUSSION<br />
The genetic divergence existing in seventy faba bean<br />
germplasm collection was studied by employing nonhierarchical<br />
Euclidean cluster analysis for eleven quantitative<br />
characters. The pseudo F-test revealed that eight cluster<br />
arrangements were the most appropriate for this material.<br />
Therefore, the 70 genotypes were accepted to be grouped<br />
into eight different non-overlapping clusters. The distribution<br />
of 70 faba bean lines in eight clusters is given Table 1.<br />
The highest number of genotypes appeared in cluster V<br />
which contained 17 entries followed by cluster VIII having 15<br />
genotypes. Cluster III, cluster VI, cluster VII and cluster I<br />
having 12, 12, 7 and 3 respectively. Cluster II and cluster IV<br />
both were represented by 2 entries each and had minimum<br />
number of genotypes among all the clusters. The estimates of<br />
average intra and inter cluster distance for the eight cluster is<br />
presented in Table 2. The highest intra-cluster distance was<br />
recorded for cluster VIII (2.491) followed by cluster II (2.327),<br />
while the lowest value was recorded in case of cluster IV<br />
(1.808). The maximum inter cluster distance was recorded<br />
between cluster IV and cluster I (7.604) followed by cluster
Table 1.<br />
CHAUBEY, et al., Genetic Divergence Analysis in Faba Bean (Vicia faba L.) 65<br />
Clustering pattern of 70 Faba bean genotypes on the basis of non-hirarchical Euclidean cluster analysis.<br />
Cluster No. of<br />
Genotypes<br />
Number genotypes<br />
I 3 EC 251014, EC 324677, EC 361427.<br />
II 2 EC 331587, EC 382423.<br />
III 12 EC 243626, EC 25192, EC 243637, EC 329605, EC 329627, EC 374731, EC 329673, EC 329715, EC 243860,<br />
IC 361498, IC 348948, EC 329700.<br />
IV 2 EC 243709, EC 117739.<br />
V 17 EC 361470, EC 331549, EC 117734, EC 117744, EC 323731, EC 117749, EC 243772, EC 329683, EC 243786,<br />
EC 117842, EC 267648, EC 361496, EC 243525, IC 331571, EC 2558, EC 322967, EC 329677.<br />
VI 12 EC 293713, EC 243755, EC 249947, EC 329003, EC 243784, EC 243791, EC 329812, EC 243782, EC 243781,<br />
EC 117753, EC 243743, EC 329707.<br />
VII 7 EC 117745, EC 267641 EC 117726, EC 248945, EC 329668, EC 329662, EC 329714.<br />
VIII 15 EC 354951, EC 249851, EC 343808, EC 329724, EC 329675, EC 329725, EC 25085, EC 243596, EC 243770,<br />
EC 243529, EC 351919, EC 247696, EC 243895, EC 343696, EC 329701.<br />
Table 2.<br />
Estimates of average intra and inter-cluster distances for the eight clusters<br />
Clusters I II III IV V VI VII VIII<br />
I 2.194 4.245 3.548 7604 3.080 4.734 3.356 4.466<br />
II 2.327 5.779 7.008 4.936 4.894 6.613 4.645<br />
III 2.028 6.546 2.331 3.105 2.609 3.525<br />
IV 1.808 7.112 5.614 7.305 4.257<br />
V 2.104 3039 2.836 3.255<br />
VI 2.265 4.446 2.463<br />
VII 1.859 4.023<br />
VIII 2.491<br />
Bold figures represent intra-cluster distances.<br />
VII and cluster II (7.305). The inter cluster distance between<br />
cluster IV and cluster II (7.008), cluster VII and cluster II (6.613)<br />
cluster IV and cluster III (6.546) and cluster III and cluster II<br />
(5.779), were also in high orders. The minimum inter cluster<br />
distance was observed between cluster V and cluster III (2.331)<br />
followed by cluster III and cluster VI (2.463). The cluster<br />
means, standard deviation and coefficient of variability for<br />
eleven characters are presented in Table 3.<br />
The genotypes of cluster VII took maximum days to<br />
50% flowering (x = 79.43, cv=3.62) followed by cluster V (x=<br />
76.82, cv=5.25). The genotypes took minimum days to 50%<br />
flowering were concentrated cluster III (x=64.83, cv=6.57)<br />
followed by cluster VI (x= 67.75, cv=10.69). The entries<br />
representing cluster VII showed highest cluster mean for days<br />
to maturity (x=168.00, cv= 1.38) followed by cluster VI (x=<br />
166.92, cv= 1.95), while the lowest mean for the characters is<br />
showed by cluster II (x=157.00, cv= 3.61) followed by cluster<br />
I (x= 161.00, cv= 1.86). The entries representing cluster IV<br />
showed highest cluster mean for plant height (x= 132.50,<br />
cv=2.67) followed by cluster VII (x= 129.14, cv = 3.94), while<br />
the lowest cluster mean for plant height was observed in<br />
cluster V (x= 114.78, cv= 6.72) followed by cluster II (x=116.70,<br />
cv= 2.31). The genotypes of cluster IV (x = 8.80, cv= 16.02)<br />
had highest cluster mean for number of branches per plant<br />
followed by cluster II (x= 7.10, cv = 5.92), while lowest cluster<br />
mean for characters was observed in cluster VII (x=4.73, cv=<br />
9.72). The cluster IV (x = 53.40, cv= 36.75) had highest cluster<br />
mean for number of pods per plant followed by cluster II (x=<br />
44.30, cv= 11.81), while the cluster VII (x= 19.63, cv = 20.17)<br />
had lowest cluster mean for number of pods per plant followed<br />
by cluster I (x= 21.60, cv= 4.90). The highest cluster mean for<br />
number of seeds per pod showed by genotypes of cluster VI<br />
(x= 3.12, cv= 6.41) followed by cluster IV (x= 3.08, cv = 1.95)<br />
and lowest cluster mean for number of seeds per pod showed<br />
by genotypes of cluster III (x= 2.70, cv= 5.93) followed by<br />
cluster V (x= 2.76, cv= 7.25). 100-seed weight was highest in<br />
the genotypes of cluster VI (x= 34.30, cv = 8.60), followed by<br />
cluster II (x= 34.19, cv= 9.940), while it was lowest for entries<br />
occurring in cluster I (x= 28.70, cv= 23.38) followed by cluster<br />
IV (x= 29.28, cv= 16.19). The highest cluster means for biological<br />
yield per plant exhibited by cluster VIII (x = 99.62, cv= 17.47)<br />
followed by cluster IV (x= 82.50, cv= 19.70), while the lowest<br />
cluster mean for biological yield per plant showed by<br />
genotypes of cluster I (x= 51.67, cv = 21.58) followed by cluster<br />
VII (x = 52.63, cv= 22.25). The highest cluster mean for seed<br />
yield per plant was observed in case of cluster IV (x= 34.41,<br />
cv= 4.01), which indicates that lines having very high seed<br />
yield were concentrated in this cluster followed by cluster<br />
VIII (x= 27.91, cv= 16.12). The genotypes with low seed yield<br />
were found to be grouped in cluster VII (x= 13.39, cv= 30.47)<br />
followed by cluster I (x= 14.37, cv= 17.12), cluster III (x= 16.97,<br />
cv= 20.74) and cluster V (x = 18.32, cv= 22.54). Remaining<br />
cluster had mean seed yield per plant of medium range. The<br />
cluster II (x = 38.67%, cv= 35.51) comprised of entries which<br />
produced highest mean for harvest index followed by cluster<br />
VI (x = 36.595, cv = 15.91). The lower value was observed for<br />
cluster IV (x= 18.97%, cv= 12.86) followed by cluster VII (x=<br />
25.51%, cv= 20.07). Rest of the clusters showed moderate<br />
mean value for this character. The protein content was the<br />
highest in the genotypes of cluster III (x= 26.00%, cv= 0.58)
66 Trends in Biosciences 5 (1), <strong>2012</strong><br />
Table 3.<br />
Clusters<br />
I<br />
II<br />
III<br />
IV<br />
V<br />
VI<br />
VII<br />
VIII<br />
Cluster mean, standard deviation and coefficient of variability for different characters for 8 clusters<br />
Days to<br />
50%<br />
flowering<br />
Days to<br />
maturity<br />
Plant<br />
height<br />
(cm)<br />
No. of<br />
branches/<br />
plant<br />
No. of<br />
pods/plant<br />
No. of<br />
seeds/pod.<br />
100-seed<br />
weight<br />
(g)<br />
Biological<br />
yield/ plant<br />
(g)<br />
Seed<br />
yield/<br />
plant (g)<br />
Harvest<br />
index (%)<br />
Protein<br />
content<br />
(%)<br />
1 2 3 4 5 6 7 8 9 10 11<br />
Mean 72.67 161.00 120.40 4.73 21.60 2.92 28.70 51.67 14.37 28.02 25.03<br />
S.D. 2.08 3.00 7.81 0.46 1.06 0.33 6.71 11.15 2.46 1.44 0.25<br />
C.V. % 2.86 1.86 6.48 9.72 4.90 11.30 23.38 21.58 17.12 5.14 1.00<br />
Mean 69.00 157.00 116.70 7.10 44.30 2.92 34.19 72.20 27.16 38.67 24.65<br />
S.D. 1.41 5.66 2.69 0.42 5.23 0.51 3.40 11.03 5.65 13.73 0.07<br />
C.V. % 2.04 3.61 2.31 5.92 11.81 17.47 9.94 15.28 20.80 35.51 0.28<br />
Mean 64.83 166.08 121.90 5.20 24.22 2.70 30.33 63.18 16.97 28.34 26.00<br />
S.D. 4.26 2.64 7.65 0.92 5.70 0.16 2.56 17.76 3.52 6.98 0.15<br />
C.V. % 6.57 1.59 6.28 17.69 23.53 5.93 8.44 28.11 20.74 24.63 0.58<br />
Mean 69.00 166.50 132.50 8.80 55.40 3.08 29.28 182.50 34.41 18.97 25.85<br />
S.D. 1.41 3.54 3.54 1.41 20.36 0.06 4.74 16.26 1.38 2.44 0.21<br />
C.V. % 2.04 2.13 2.67 16.02 36.75 1.95 16.19 8.909 4.01 12.86 0.81<br />
Mean 76.82 162.53 114.78 4.93 26.71 2.76 32.43 56.54 18.32 32.97 25.85<br />
S.D. 4.03 2.62 7.71 1.03 5.84 0.20 3.07 13.86 4.13 5.59 0.18<br />
C.V. % 5.25 1.61 6.717 20.89 21.86 7.25 9.47 24.51 22.54 16.95 0.70<br />
Mean 67.75 166.92 118.07 5.88 40.12 3.12 34.30 75.04 26.90 36.59 25.99<br />
S.D. 7.24 3.26 5.48 1.29 8.48 0.20 2.95 13.56 3.21 5.82 0.23<br />
C.V. % 10.69 1.95 4.64 21.94 21.14 6.41 8.60 18.07 11.93 15.91 0.88<br />
Mean 79.43 168.00 129.14 4.29 19.63 2.79 28.70 52.63 13.39 25.51 25.84<br />
S.D. 2.88 2.31 5.09 0.56 3.96 0.29 3.49 11.71 4.08 5.12 0.15<br />
C.V. % 3.62 1.38 3.94 13.05 20.17 10.39 12.16 22.25 30.47 20.07 0.58<br />
Mean 76.60 164.60 127.91 6.44 41.03 2.95 33.65 99.61 27.91 28.79 25.80<br />
S.D. 5.89 4.87 5.21 0.98 8.72 0.26 3.10 17.40 4.50 6.29 0.20<br />
C.V. % 7.69 2.96 4.07 15.22 21.25 8.81 9.21 17.47 16.12 21.85 0.04<br />
followed by cluster VI (x= 25.99%, cv= 0.88), while it was lowest<br />
for entries occurring in cluster II (x= 24.65%, cv= 0.28) followed<br />
by cluster I (x= 25.03%, cv= 1.00). Remaining clusters had<br />
moderate means for protein content.<br />
Cluster I had 3 genotypes which were characterized by<br />
lowest cluster mean for 100- seed weight and biological yield<br />
per plant and average cluster mean for remaining traits. Two<br />
genotypes presents in cluster II resulted in lowest cluster<br />
mean for days to maturity, protein content and average cluster<br />
mean for rest of the characters except harvest index that has<br />
highest cluster mean performance. The cluster III had 12<br />
genotypes resulting in lowest cluster mean for days to 50%<br />
flowering and number of seeds per pod and highest cluster<br />
mean for protein content, having average cluster mean for all<br />
other characters. Two genotypes falling in the cluster IV<br />
resulted in better and highest cluster mean for all the characters<br />
except, harvest index that had lowest cluster mean performance.<br />
Cluster V comprising 17 genotypes had lowest cluster mean<br />
performance for plant height and average cluster mean<br />
performance for remaining traits. Cluster VI having 12<br />
genotypes possessed highest cluster mean for number of<br />
seeds per pod and 100 seed weight and medium cluster mean<br />
for rest of the other characters. The seven genotypes of cluster<br />
VII produced highest cluster mean for days to 50% flowering<br />
and days to maturity and lowest cluster mean for number of<br />
branches per plant, number of pods per plant, 100- seed weight<br />
and seed yield per plant and average cluster mean for all other<br />
characters. The cluster VIII contained 15 genotypes having<br />
highest cluster mean for biological yield per plant and average<br />
mean for remaining all characters. The above observation<br />
confirm wide variation from one cluster to another in respect<br />
of cluster mean, which indicated that genotypes having<br />
distinct different mean performance for various characters<br />
were separated into different clusters. The eight clusters in<br />
the aforesaid divergence analysis contained frequently the<br />
genotypes of heterogeneous origin (Table 1), although the<br />
genotype originated in same place or geographic region were<br />
also found to be grouped together in same cluster, the instance<br />
of grouping of genotypes of different origin or geographical<br />
region also in same cluster were observed in case of all the<br />
eight clusters. This suggests lack of parallelism between<br />
genetic and geographic diversity. Therefore, the selection of<br />
parental material for hybridization programme simply based<br />
on geographic diversity may not be a successful exercise for<br />
the choice of suitable divergent parents. Selection on the basis<br />
of genetic divergence analysis would be more rewarding than<br />
the choice made on the basis of geographic diversity. This<br />
finding is in agreement with the report advocating lack of<br />
definite relationship between genetic and geographic diversity<br />
in faba bean.<br />
An examination of the estimates of within and between<br />
cluster diversity presented by intra and inter cluster D 2 values<br />
revealed that the genotypes of the same cluster had little<br />
divergence from each other with respect to aggregate effect<br />
of 11 characters under study (Table 4). Therefore, the chances<br />
of obtaining good recombinants in segregating generation
Table 4.<br />
CHAUBEY, et al., Genetic Divergence Analysis in Faba Bean (Vicia faba L.) 67<br />
The most desirable genotypes identified for eleven characters studied<br />
S. No. Characters Genotypes<br />
1. Days to 50% flowering EC 293713, EC 243791, EC 243860, EC 25192, EC 243626, EC 117753<br />
2. Days to maturity EC 267648, EC 25085, EC 247696, EC 243525, EC 243860, EC 243791, EC 322967<br />
3. Plant height (cm EC 247696, EC 329714, EC 243709, EC 329673, EC 243626, EC 343696<br />
4. No. of branches/ plant EC 243709, EC 243782, EC 382423, EC 243860, EC 117739, EC 243525<br />
5. No. of pods/plant EC 243709, EC 243529, EC 329701, EC 243755, EC 25085, EC 247696<br />
6. No. of seeds /plant EC 382423, EC 243784, EC 249851, EC 247696, EC 361427, EC 293713<br />
7. 100-seed weight EC 329707, EC 243781, EC 243808, EC 243895, EC 329701, EC 329673<br />
8. Biological yield/ plant (g) EC 243709, EC 117739, EC 243696, EC 329701, EC 25085, EC 117753<br />
9. Seed yield/ plant (g) EC 243529, EC 243709, EC 117753, EC 329701, EC 243784, EC 25085, EC 329724, EC 329725,<br />
EC 243525, EC 243781<br />
10. Harvest index (%) EC 382423, EC 267648, EC 329003, EC 243781, EC 329812, EC 249947, EC 243529<br />
11. Protein content (%) EC 243784, EC 243755, EC 323731, EC 248945, EC 329707, EC 243696, EC 243626<br />
by crossing the members of the same cluster are very low. It<br />
is, therefore, suggested that crosses should be attempted<br />
between the genotypes belonging to clusters separated by<br />
large inter-cluster distance in this respect. The highest inter<br />
cluster distance was observed between cluster IV and I.<br />
Cluster I also had high inter cluster distance from cluster V,<br />
VIII, II and III. Thus the crossing between the genotypes<br />
belonging to cluster I with those of cluster IV, V, VII, II and III<br />
may throw desirable transgressive segregants. The lowest<br />
inter- cluster distance was observed between cluster III and V<br />
followed by cluster VI and VIII, cluster III and VII, cluster V<br />
and VII, and cluster V and VI which indicated that genotypes<br />
present in these clusters were genetically close to each other.<br />
The crosses between genotypes belonging to the cluster<br />
separated by low inter cluster distances are unlikely to<br />
generate promising recombinants in segregating generations.<br />
The intra-cluster group mean for eleven characters revealed<br />
considerable differences between the clusters in respect of<br />
cluster means (Table-2). The crosses between the entries<br />
belonging to cluster pairs separated by large inter- cluster<br />
distances and having cluster means for one or other characters<br />
to be improved is likely to be more useful.<br />
The concept that difference in geographic origin should<br />
be used as an index of genetic diversity in parental selection<br />
could not reliably be used as a strategy and parental selection<br />
should rather be made based on systematic assessment of<br />
genetic distance in a specific population. Breeding programs<br />
should also focus on effective and efficient exploitation of<br />
not only inter-regional diversity in the country as a whole but<br />
also intra-regional diversity in India. Inter-cluster gene<br />
recombination of sample accessions drawn from the<br />
significantly distant clusters followed by selection should<br />
prove to generate agronomically desirable progenies as<br />
expected.<br />
LITERATURE CITED<br />
Duc , G. , S. Y. Bao , M. Baum , B. Redden , M. Sadiki , M. J. Suso , M.<br />
Vishniakova , and Zong, X. X. 2010 . Diversity maintenance and<br />
use of Vicia faba L. genetic resource. Field Crops Research, 115:<br />
270-278 .<br />
Durga Prasad, M.M.K., Arunachalam, V. and Bandyopadyay, A. 1985.<br />
Diversity pattern elucidating parents for hybridization in varieties<br />
of groundnut, Arachis hypogaea L. Trop. Agric., 62: 237–242.<br />
Gemechu Keneni, Belay Simane and Getinet Gebeyehu 1997. Genetic<br />
diversity of groundnut germplasm in Ethiopia. Ethiop. J. Agri. Sci.,<br />
16(1&2): 1–13.<br />
Gemechu Keneni, Mussa Jarso, Tezera Wolabu and Getnet Dino. 2005.<br />
Extent and pattern of genetic diversity for morpho-agronomic<br />
traits in Ethiopian highland pulse landraces II. Faba bean (Vicia faba<br />
L.). Genetic Resources and Crop Evolution, 52: 551–561.<br />
Joshi, A.B. and Dhawan, N.L. 1966. Genetic improvement in yield with<br />
special reference to self-fertilizing crops. Indian J. Genet., 26A:<br />
101–103.<br />
Katule, B.K., Thombare, M.V., Dumbre, A.D. and Pawar, B.B. 1992.<br />
Genetic diversity in bunch groundnut. J. Maharashtra Agri. Univ.,<br />
17: 302–303.<br />
Nadaf, H.L., Habia, A.F. and Goud, J.V. 1986. Analysis of diversity in<br />
bunch groundnut. J. Oilseeds Res., 3: 37–45.<br />
Rezai, A. and Frey, K.J. 1990. Multivariate analysis of variation among<br />
wild oat accessions-seed traits. Euphytica, 49: 111– 119.<br />
Sindhu, J.S. 1985. Multivariate analysis in faba bean (Vicia faba L.).<br />
FABIS, 12: 5–7.<br />
Singh, B.D. 1990. Plant Breeding: Principles and Methods. Kalyani<br />
Publishers, New Delhi-Ludhiana.<br />
Recieved on 15.1.<strong>2012</strong> Accepted on 18.4.<strong>2012</strong>
Trends in Biosciences 5 (1): 68-70, <strong>2012</strong><br />
Evaluation of Different Substrate for Mass Multiplication of Trichoderma spp.<br />
ANURADHA S<strong>IN</strong>GH, MOHD SHAHID, VIPUL KUMAR AND MUKESH SRIVASTAVA<br />
Department of Plant Pathology, C.S. Azad University of Agriculture & Technology, Kanpur<br />
e.mail: singhanu@gmail.com,mo.shahid@sify.com<br />
ABSTRACT<br />
Trichoderma viride and T. atroviride are two most widely used<br />
bio-control agents. They are applied to soil, foliage or roots. In<br />
spite of their high efficacy under controlled condition, their<br />
performance at farmers field is not consistent. Unlike chemicals<br />
these bio-control agents need support even after their<br />
application to get established in targeted niche. Present study<br />
was undertaken to achieve major issue involved in mass<br />
production and utilization of bio-control agent by selection of<br />
effective strains for mass multiplication and its formulation.<br />
Which deals with use of cow dung, neem cake, wheat straw,<br />
sorghum grains, rice bran and spent compost of mushroom<br />
either alone or in certain combinations, with or without<br />
additives such as jaggery and wheat flour and having differential<br />
moisture levels were evaluated as substrates for mass production<br />
of T. viride and T. atroviride. Jaggery and wheat flour served as<br />
nutritional supplements, which enhanced the conidial yield.<br />
An increase in the number of viable propagules up to 30 days<br />
was noted regardless of the substrates and its moisture levels.<br />
Although highest initial population of Trichoderma viride was<br />
observed in sorghum grains (132 x 10 7 cfu g -1) , propagule viability<br />
was low in spent compost of mushroom (11.9 x 10 7 cfu g -1) that<br />
compared to other substrates. Neem cake + wheat flour mixture<br />
at 35% moisture also gave longer shelf life(114.3 x 10 7 cfu g -1)<br />
for Trichoderma progagules.<br />
Key words Biocontrol, organic substrates, substrate moisture levels.<br />
Among several groups of plant diseases major amount<br />
of work has been done on the biological/integrated control of<br />
soil borne fungal plant pathogens by using fungal antagonist<br />
like, Trichoderma spp. Trichoderma is one of the common<br />
fungal biocontrol agent, is being used world wide for suitable<br />
management of various foliar and soil borne plant pathogens.<br />
Biological agents like Trichoderma viride and Trichoderma<br />
atroviride are acclaimed as effective, ecofriendly and cheap,<br />
nullifying the ill effectives of chemicals. Therefore, of late,<br />
these biocontrol agents are identified to act against on array<br />
of important soil borne plant pathogens causing serious<br />
diseases of crops. Therefore considering the cost of chemical<br />
pesticides and hazardous involves, biological control of plant<br />
disease appears to be an effective and eco-friendly approach<br />
being practice world over. Further biological control strategy<br />
is highly compatible with sustainable agriculture and has a<br />
major role to play as a component of integrated pest<br />
management (IPM) programme (Chaudhari, et. al.,. 2011).<br />
Trichoderma as a potent fungal biocontrol agent against<br />
a range of plant pathogens has attracted considerable scientific<br />
attention (Tewari and Mukhopadhyay, 2001). Different organic<br />
media like neem cake, coir path, farmyard manure, and<br />
decomposed coffee pulp also have been suggested for its<br />
multiplication (Saju, et al., 2002). Yet reports on the optimum<br />
moisture levels of these substrates for high inoculum<br />
production of Trichoderma spp. are inadequate. Therefore, a<br />
study was conducted to evaluate some locally available<br />
organic substrates and to standardize the optimum moisture<br />
levels for mass multiplication and long-term survival of<br />
Trichoderma spp.( Rini and Sulochana, 2007). Large scale<br />
production, along with shelf life and establishment of bioagents<br />
in targeted niche, determine the success of biological<br />
control. Therefore cost effective large scale production, shelf<br />
life of formulation, establishment of bio-agent in to targeted<br />
niche and consistency in disease control are the primary<br />
concern with augmentative biological control.<br />
For mass multiplication of bioagent through solid state<br />
fermentation technology an enormous quantity of spore<br />
biomass is needed. Various substrates like Cow dung, neem<br />
cake, wheat straw, sorghum grains, rice bran ,paddy straw<br />
and spent compost of mushrooms are being used for mass<br />
multiplication of Tricoderma spp. with various degree of<br />
success.<br />
MATERIALS AND METHODS<br />
Isolation and Identification of Trichoderma spp. : Soil<br />
samples collected from various rhizosphere soil of infected<br />
field of different places of Uttar Pradesh and Trichoderma<br />
spp. were isolated on PDA medium by following serial dilution<br />
plate technique as described by (Johnson and Curl, 1972).<br />
Ten gram soil sample from well pulverized, air dried soil was<br />
added into 90 ml sterile water in a flask to make 1:100 dilution<br />
(10 -1 ).The mixture was vigorously shaken on a magnetic shaker<br />
for 20-30 minutes to obtain uniform suspension. One ml of<br />
suspension from flask was transferred into a test tube<br />
containing 9 ml sterile water under aseptic condition to make<br />
1:10 (10 -2 ) dilution. Further dilution 10 -7 was made by pipetting<br />
1ml suspension into additional water as prepared above. One<br />
ml each liquids of 10 -7 dilution was transferred into 10 sterile<br />
Petri plates which was previously poured by 15 ml sterile PDA<br />
medium and spread uniformly, PDA is the best solid media for<br />
growth and sporulation of Trichoderma spp ( Singh, et. al.,<br />
2011). The Petri plates were incubated at 25±2 0 C for 7 days in<br />
an incubator, because the most favourable temperature for<br />
growth of Trichoderma spp was found in between 25-30 ºC<br />
(Shahid, et. al. 2011). As soon as the mycelial growth were
S<strong>IN</strong>GH, et al., Evaluation of Different Substrate for Mass Multiplication of Trichoderma spp. 69<br />
visible in the PDA culture medium. The hyphal tips from the<br />
advancing mycelium were cut and transferred into the culture<br />
slants containing PDA medium for further purification and<br />
identification of pathogen. The pure culture was obtained by<br />
adopting single spore technique. Green conidia forming fungal<br />
bodies were selected and microscopic observation was<br />
identified to be Tricoderma viride and Trichoderma atroviride<br />
The culture was maintained on PDA slants. The purified<br />
culture was then confirmed by ITCC, Division of Plant<br />
Pathology IARI, New Delhi-12 for further experiment and<br />
investigation.<br />
Processing of substrates: The substrates included<br />
preboiled sorghum grains, cow dung, Neem cake, rice bran,<br />
paddy straw and spent compost of mushroom either alone or<br />
uncertain combinations (Table 1). Jaggary (3%) and wheat<br />
flours (10%) were used as nutritional supplements for<br />
enhancing conidial yield (Prasad, et.al., 2002) and having<br />
differential moisture levels were evaluated as substrates for<br />
mass multiplication of T. viride and T. atroviride. The waste<br />
substrate cuts in the form of pieces and shade dried it. The<br />
dried substrate measure and add jaggery and wheat flour for<br />
nutritional support the moisture level of that mixture was<br />
maintained up to 30-35%. The media got sterilized by atuoclaved.<br />
Each solid substrate was taken in petri-plates,<br />
inoculated with fungal mycelia and incubated at 25±2°C in<br />
incubator for 7-10 days. The treatments were arranged in<br />
completely randomized design with three replications and the<br />
data analyzed using the analysis of variance technique<br />
(Chaudhari, et. al., 2011). Colony forming units (cfu) were<br />
counted after 2 days of incubated. The study was conducted<br />
during the period from September to December 2011.<br />
Mass multiplication of Trichoderma spp: Trichoderma<br />
spp. have been grown on wide range of grains viz. maize,<br />
sorghum, pearl millet, wheat, Jhangora weed (Echinocloa<br />
frumantaceae), wheat bran, wheat straw, waste tea leaves,<br />
banana fruit bark, coffee husk, paddy-straw, Diatomaceous,<br />
earth granule impregnated with molasses (Zaidi and Singh,<br />
2004). Sugarcane pressmud have been widely utilized for mass<br />
multiplication and delivery of the Trichoderma biopesticides<br />
in soil (Singh and Joshi, 2007).Mass cultures of Trichoderma<br />
isolates were made on sorghum grains. Half boiled sorghum<br />
grains (250gm) were filled in polypropylene bags (25 × 30 cm)<br />
and autoclaved at 15 psi pressure for half an hour. After cooling<br />
the grains were inoculated with seven days old culture of<br />
Trichoderma, tied and incubated at 25±2°C in incubator for 7-<br />
8 days.After seven days colonized grains were air-dried in<br />
open shade, grounded with the help of wily mill to get fine<br />
powder and passed through 50 and 80 mesh size sieves,<br />
simultaneously to obtained pure spore powder.<br />
RESULTS AND DISCUSSION<br />
Among the different substrates tested, sorghum grains<br />
with jaggery showed the highest growth of T. viride. White<br />
mycelial growth was observed on sorghum grains on the 5 th<br />
day of incubation and it covered the entire surface of the<br />
sorghum grain substrate with green sporulation in 8-10 days.<br />
Maximum biomass production of T. viride (132.93 x 10 7 cfug -1 )<br />
at 10 days of incubation which was significantly superior to<br />
others (Table 1). In case of Neem cake+ wheat flour mixture<br />
mycelial growth was visible over the surface on 5 th day and it<br />
took 10 days to cover the whole substrate. After incubation<br />
of 10 th days the population of 114.30 x 10 7 cfug -1 ) was recorded<br />
on this substrate. On cowdung and spent compost of<br />
Table 1.<br />
Effect of different substrates on the population of<br />
Trichoderma viride and T. atroviride<br />
Treatments<br />
Mean population (x 10 7 cfu g -1 )<br />
at 10 th day of incubation (n=3)<br />
T. viride T. atroviride<br />
Cowdung 19.600 16.636<br />
Neem cake + wheat flour 10% 114.300 107.566<br />
Sorghum grains + Jaggery 3% 132.93 123.400<br />
Paddy straw 25.533 19.800<br />
Rice brans 31.033 19.400<br />
Spent compost of mushroom 11.933 10.7667<br />
CD (0.05) 5.9052 6.530<br />
Neem cake + wheat(10%) flour colonized by T. viride<br />
Sorghum grain powder + (5%) Jaggery colonized by T. viride.
7 0 Trends in Biosciences 5 (1), <strong>2012</strong><br />
mushroom when used along scanty growth of the fungus<br />
was noted. Rice bran recorded a population of 31.03 x 10 7<br />
cfug -1 which was statistically on per with paddy straw<br />
substrate.<br />
Growth rate of T. atroviride on different organic<br />
substrates was similar to that of T. viride. Sorghum grains<br />
maintained the maximum growth and spore count of 123.4x10 7<br />
cfug -1 followed by neem cake + wheat flour mixture 107.5x10 7<br />
cfug -1 . Cowdung and spent compost of mushroom recorded<br />
lower spore counts (16.6 x 10 7 cfu and 10.7 x 10 7 cfug -1<br />
respectively) compared to other substrates (Table 1). Rini, et<br />
al., 2007 also concluded that sorghum grain with jaggery<br />
served as nutritional supplements and enhanced the conidial<br />
yield of Trichoderma viride. Sorghum grain was found as<br />
superior grain substrate as it gave maximum population and<br />
proved very useful and effective for mass multiplication.<br />
ACKNOWLEDGEMENT<br />
The authors are grateful for the financial support granted<br />
by the ICAR, under Niche Area of Excellence of IPM<br />
Programme running in Department of Plant Pathology, C.S.<br />
Azad University of Agriculture & Technology, Kanpur<br />
LITERATURE CITED<br />
Chaudhari, P.J., Srivastava, P. and Khadse, A.C. 211. Substrate evaluation<br />
for mass cultivation of Trichoderma viride. Asiatic J. of Biotech.<br />
Res., 2 (04): 441-446.<br />
Johnson, L.F. and curl, A.E., 1972. Method for the research on ecology<br />
of soil borne plant pathogen. Burgess publishing company,<br />
minnepolis, MN, pp. 247.<br />
KAU. 2002. Package of Practices Recommendations; Crops. Twelth<br />
edition. Directorate of Extension, Kerala Agricultural University,<br />
Thrissur, 278p.<br />
Prasad, R.D., Rangeshwaran R. and Sunanda, C.R. 2002. Jaggery- an<br />
easily available alternative to molasses for mass production of<br />
Trichoderma harziaum. Pl. Dis., Res., 17:363-365.<br />
Rini, C.R. and Solochana, K.K. 2007. Substrate evaluation for<br />
multiplication of Trichoderma spp. J. Trop. Agric., 45 (1-2): 58-<br />
60.<br />
Rini, C.R. and Sulochana, K.K. 2007. Usefulness of Trichoderma and<br />
Pseudomonas against Rhizoctonia solani and Tusarium oxysporum<br />
infecting tomato. J. Trop. Agric., 45: 21-28.<br />
Saju, K.A., Anandaraj, M. and Sarma, Y.R. 2002. On farm production<br />
of Trichoderma harzianum using organic matter. Indian Phytopath.,<br />
55: 227-281.<br />
Shahid, M., Singh, A., Srivastava, M., Mishra, R.P. and Biswas, S.K.,<br />
2011 Effect of temperature, pH and media for growth and<br />
sporulation of Trichoderma longibrachiatum and self life study in<br />
carrier based formulations. Ann. Pl. Protec. Sci., 19(1): 147-149.<br />
Singh, A., Shahid. M., Pandey, N.K., Kumar,S., Srivastava, M. and<br />
Biswas S.K., 2011. Influence of temperature, pH and media for<br />
growth and sporulation of Trichoderma atroviride and its shelf life<br />
study in different carrier based formulations. J. Pl. Dis. Sci 6:32-<br />
34.<br />
Singh, V. and Joshi B.B. 2007. Mass multiplication of Trichoderma<br />
harzianum on sugarcane press mud. Ind. Phytoath., 60: 530-531<br />
(2007).<br />
Tewari, A.K. and Mukhopadhyay, A.N. 2001. Testing of different<br />
formulations of Gliocladium virens against chickpea wilt complex.<br />
Indian Phytopath., 54: 67-71.<br />
Zaidi, N. W. and Singh U.S. 2004. Use of farm yard manure for mass<br />
multiplication and delivery of biocontrol agents. Trichoderma<br />
harzianum and Pseudomonas fluorescens. Asian Agric. Hist., 52:<br />
165-172.<br />
Received on 10.3.<strong>2012</strong> Accepted on 15.3.<strong>2012</strong>
Trends in Biosciences 5 (1): 71-73, <strong>2012</strong><br />
Compatibility of Entomopathogenic Nematodes (Nematoda: Rhabditida) with<br />
Pesticides and their Infectivity against Lepidopteran Insect Pest<br />
RASHID PERVEZ* AND S.S. ALI<br />
Indian Institute of Pulses Research, Kanpur, 208 024<br />
*Present add.: Indian Institute of Spices Research, Calicut 673 012<br />
email: rashid_pervez@rediffmail.com, ss_ali@rediffmail.com<br />
ABSTRACT<br />
Studies on the effect of aqueous suspension of the insecticides<br />
(Endosulfan and Monocrotophos), fungicide (Mancozeb),<br />
weedicide (Pendimenthilene) and botanical (Nemmarin) on<br />
the activity of infective juveniles of Steinernema masoodi, S.<br />
seemae, S. carpocapsae and S. mushtaqi and infectivity of IJs pre<br />
exposed to these pesticides against Corcyra cephalonica larva<br />
were carried out under laboratory condition. The aqueous<br />
suspensions of these pesticides were prepared as per the field<br />
recommended doses along with control (exposed to water).<br />
Results show that, S. mushtaqi was found more compatible with<br />
all tested pesticides followed by S. masoodi and S. seemae.<br />
However, S. carpocapsae was found least compatible with tested<br />
pesticides. Immobility of IJs increased when increase the<br />
exposure period. Maximum number of inactive juveniles was<br />
recorded after 72 h exposure. Among the tested pesticides,<br />
Endosulfan is more affective on the activity of the juveniles<br />
followed by Monocrotophos. While, Nemmarin showed less<br />
effective on the activity of the IJs. The infectivity of 24 h<br />
pesticides exposed IJs was not much affected against C.<br />
cephalonica larva as compare to control. Among the tested<br />
pesticide, all tested IJs of EPN shows less infectivity when<br />
exposed with Endosulfan followed by Monocrotophos. However,<br />
Pendimenthlin and Nemmarin exposed infective juveniles<br />
found more pathogenic to rice moth larva.<br />
Key words Entomopathogenic nematodes, pesticides, compatibility<br />
Recently, entomopathogenic nematodes (EPNs) are<br />
emerging as biological control agents of insect pests of crops<br />
due to their wide host range, ease to handle, short life cycle<br />
and environmental safety (Gaugler and Kaya, 1990, Ali, et al.,<br />
2005a and 2008, Pervez, et al., 2007, Shapiro, et al., 2002).<br />
It has been suggested that combining low-impact<br />
insecticides or reduced rates of insecticides with biological<br />
control could achieve adequate control while reducing the<br />
adverse effects of insecticides (Forschler, et al., 1990; Alfred<br />
and Grewal, 2004). Several studies have demonstrated additive<br />
or synergistic relationships between the combined use of lowimpact<br />
insecticides and biological control agents<br />
(Koppenhofer and Kaya, 1998; Nishimatsu and Jackson, 1998).<br />
Koppenhofer and Kaya, 1998 described a strong<br />
synergistic effect on mortality of 2 scarab species,<br />
Cyclocephala hirta LeConte and C. pasadenae Casey with<br />
combinations of imidacloprid, another reduced risk insecticide<br />
and entomopathogenic nematodes. Use of chemical pesticides<br />
along with different species of EPNs in integrated pest<br />
management (Hussaini, et al., 2001).<br />
Present study carried out, compatibility of S. masoodi,<br />
(Ali, et al., 2005b), S. seemae (Ali, et al., 2005b), S. carpocapsae<br />
(Weiser, 1955) Wouts, et al., 1982 and S. mushtaqi Pervez, et<br />
al., 2009 with insecticides (Endosulphan and<br />
Monocrotophos), fungicide (Mancozeb), weedicide<br />
(Pendimenthilene) and botanical (Nemmarin) has been<br />
examined and effect of the exposed infective juveniles<br />
infectivity against Corcyra cephalonica also tested.<br />
MATERIALS AND METHODS<br />
The infective juveniles of test nematodes were obtained<br />
from nucleus culture of the nematodes maintained in the<br />
Nematology laboratory, Indian Institute of Pulses Research,<br />
Kanpur. All of these EPNs species were cultured on fully grown<br />
Galleria mellonella larvae as per the procedure described by<br />
Woodring and Kaya 1988. Emerged infective juveniles (IJs)<br />
were surface sterilised in 0.01% Hyamine solution, stored in<br />
distilled water in tissue culture flasks for study. While, larvae<br />
of the rice moth, C. cephalonica were collected from the culture,<br />
which maintained on sorghum grain.<br />
Third stage juveniles of tested species of EPNs (50)<br />
were inoculated into 5.5 cm petri plates containing 2 ml of<br />
each concentrations of Endosulfan (1.6 ppm), Monocrotophos<br />
(1.2 ppm), Mancozeb (2600 ppm), Pendimenthilene (0.75 ppm)<br />
and Nemmarin (1.5 ppm) solution along with control (exposed<br />
to distill water) separately and kept in BOD incubator at 28 ºC.<br />
All treatments were replicated ten times. The immobility of<br />
juveniles was observed after 24, 48 and 72 h exposure under a<br />
stereoscopic microscope. Inactive juveniles, mobile responded<br />
after the pricking the tail considered being immobile. The per<br />
cent of immobility was calculated.<br />
Infectivity of 24 h test pesticides exposed to IJs of test<br />
species of EPNs against rice moth, Corcyra cephalonica was<br />
kept in petriplates. For this, ten larva of tested insect was kept<br />
in each petri plate and 500 infective juveniles (IJs) of each test<br />
species of EPNs were inoculated and their mortality was<br />
recorded after 72 h. Each species of EPN as well as pesticides<br />
were tested separately and singly. The experiment was<br />
conducted at 28 0 C in a BOD incubator and replicated five<br />
times along with control. The per cent mortality was calculated
72 Trends in Biosciences 5 (1), <strong>2012</strong><br />
according to following formula.<br />
Mortality (%) = D x 100 / N<br />
Where:<br />
D- Number of dead larvae; N – Total number of larvae<br />
RESULTS AND DISCUSSION<br />
Results showed that, S. mushtaqi was found more<br />
compatible with all test pesticides followed by S. masoodi<br />
and S. seemae. However, S. carpocapsae was found least<br />
compatible with test pesticides. Immobility of IJs increased<br />
when increase the exposure period. Maximum number of<br />
inactive juveniles of EPNs was recorded after 72 h exposure.<br />
Among the test pesticides, Endosulfan is more effective on<br />
the activity of the infective juveniles than to Monocrotophos.<br />
While, Nemmarin shows very little effect on the activity of<br />
the IJs or recoded on par as similar to control (Fig. 1).<br />
Fig. 1.<br />
The infectivity of 24 h exposed pesticides IJs was not<br />
Inactivity of the infec tive juveniles o f the EP Ns<br />
exposure to pesticides in aqueous solutions.<br />
much affected against C. cephalonica larva as compared to<br />
control. Among the test pesticides all tested IJs of EPN shows<br />
less infectivity when exposed with Endosulfan followed by<br />
Monocrotophos. However, Pendimenthlin and Nemmarin<br />
exposed infective juveniles found more pathogenic to rice<br />
moth larva (Fig. 2).<br />
Rovesti and Deseo, 1990 reported that<br />
organophosphorus compounds and Endosulfan caused a<br />
reduction in the movement of the infective juveniles of S.<br />
carpocapsae and S. feltiae but infectivity of them was<br />
negligible. However, earlier studies have shown that some<br />
pesticides can reduce entomopathogenic nematode viability<br />
and infectivity (Zhang, et al ., 1994; Krishnayya and Grewal<br />
2002). Chemicals insecticides and EPN offer different but<br />
potential compatible approaches to suppress insect<br />
populations (Nishimatsu and Jackson 1998).<br />
EPNs are often applied in combination with pesticides,<br />
Fig. 2.<br />
Infectivity of pesticides exposed infective juveniles of<br />
EPNs against C. cephalonica<br />
soil amendments and fertilizers. IJs of EPN have been found<br />
to be tolerant to short exposures (2 to/6 h) of most acaricides,<br />
fungicides, herbicides, and insecticides (Rovesti, et al ., 1988;<br />
Rovesti and Deseo 1990) and can therefore be applied<br />
simultaneously with many pesticides. Moreover,<br />
entomopathogenic nematode species differ in their<br />
susceptibility and sensitivity to different formulations of the<br />
same chemical pesticide (Grewal 2002).<br />
This study revealed that, few pesticides had adverse<br />
effect on the activity of infective juveniles, however, the other<br />
were not affected and are hence compatible. The incompatible<br />
species can be improved by exposing IJs to lower<br />
concentration of pesticides and increasing the concentration<br />
for exposure of subsequent generations of tolerated species.<br />
Further study on the residual effects of the pesticides in the<br />
field, which directly affects the EPNs populations are to be<br />
explored.<br />
ACKNOWLEDGEMENT<br />
The authors express their gratitude to Director, Indian<br />
Institute of Pulses Research, Kanpur, for providing all the<br />
facilities for this study. First author also thankful to Department<br />
of Science and Technology (DST), Ministry of Science &<br />
Technology, Government of India, New Delhi, for providing<br />
financial support.<br />
LITERATURE CITED<br />
Alfred, A. and Grewal, P. S. 2004. Tank mix compatibility of the<br />
entomopathogenic nematodes, Heterorhabditids bacteriophora and<br />
Steinernema carpocapsae, with selected chemicals pesticides used<br />
in Turfgrass. Biocontrol Science and Technology, 14 (7): 725-730.<br />
Ali, S. S., Ahmad, R., Hussain, M. A. and Pervez, R., 2005a. Pest<br />
management of pulses through entomopathogenic nematodes.<br />
Indian Institute of Pulses Research, Kanpur, Army press, Lucknow<br />
(India), pp. 59.<br />
Ali, S. S., Pervez, R., Hussain, M.A. and Ahmad, R., 2008. Susceptibility<br />
of three lepidopteran pest to five entomopathogenic nematodes<br />
and in vivo mass production of these nematodes. Archieves of
PERVEZ AND ALI, Compatibility of Entomopathogenic Nematodes (Nematoda: Rhabditida) with Pesticides 73<br />
Phytopathology and Plant Protection, 41 (4): 300 – 304.<br />
Ali, S. S., Shaheen, A., Pervez, R. and Hussain, M.A. 2005b. Steinernema<br />
masoodi sp. n. and Steinernema seemae sp. n. (Rhabditida:<br />
Steinernematidae) from Uttar Pradesh, India. International Journal<br />
of Nematology, 15 (1) : 89–99.<br />
Forschler, B. T., All, J. N. and Gardner, W. A. 1990. Steinernema feltiae<br />
activity and infectivity in response to herbicide in aqous and soil<br />
environment. J. Inv. Pathology, 55: 375-379.<br />
Gaugler, R. and Kaya, H. K. 1990. Entomopathogenic nematodes in<br />
Biological control. CRC Press, Boca Raton, Florida, pp. 365.<br />
Grewal, P.S. 2002. Formulation and Application technology, In :<br />
Entomopathogenic Nematology (ed: Gaugler, R.). CABI Publishing.<br />
CAB International, Wallingford. pp. 311-/332.<br />
Hussaini, S.S., Singh, S. P. and Shakeela, V. 2001. Compatibility of<br />
entomopathogenic nematodes (Steinernematidae,<br />
Heterorhabditidae : Rhabditida) with selected pesticides and their<br />
influence on some biological traits. Entomon, 26 (1): 37- 44.<br />
Koppenhofer, A. M., and H. K. Kaya. 1998. Synergism of imidacloprid<br />
and an entomopathogenic nematode: a novel approach to white<br />
grub (Coleoptera: Scarabaeidae) control in turfgrass. J. Econ.<br />
Entomol, 91: 618-623.<br />
Krishnayya, P.V. and Grewal, P.S. 2002. Effect of neem and selected<br />
fungicides on viability and virulence of the entomopathogenic<br />
nematode Steinernema feltiae. Biocontrol Science and Technology,<br />
12: 259-/266.<br />
Nishimatsu, T., and Jackson, J. J. 1998. Interaction of insecticides,<br />
entomopathogenic nematodes, and larvae of the western corn<br />
rootworm (Coleoptera: Chrysomelidae). J. Econ. Entomol, 91:<br />
410- 418.<br />
Pervez, R., Ali, S. S. and Ahmad, R. 2007. Efficacy of some<br />
entomopathogenic nematodes against mustard saw fly and in vivo<br />
production of these nematodes. International Journal of<br />
Nematology., 17 (1): 55-58.<br />
Pervez, R., Ali, S. S. and Asif, M. 2009. A new species of<br />
entomopathogenic nematodes Steinernema mushtaqi sp. n.<br />
(Nematoda : Rhabditidae : Steinernematidae) from chickpea<br />
rhizosphere. In: International Conference on Legumes (ICGL), at<br />
Indian Institute of Pulses Research, Kanpur, Feb., pp. 14-16.<br />
Rovesti, I., Heinzpeter, E.W., Tagliente, F. and Deseo, K.V. 1988.<br />
Compatibility of pesticides with the entomopathogenic nematode<br />
Heterorhabditis bacteriophora Poinar (Nematoda:<br />
Heterorhabditidae). Nematology, 34: 462- 476.<br />
Rovesti, L. and K. V. Deseo. 1990. Compatibility of chemical pesticides<br />
with the entomopathogenic nematodes, Steinernema carpocapsae<br />
Weiser and S. feltiae Filipjev (Nematoda: Steinernematidae).<br />
Nematology, 36: 237-245.<br />
Shapiro, D. I., Mizell, R. F. III., Cambell, J. F., 2002. Susceptibility of<br />
the plum curculio, Conotrachelus nenuphar, to entomopathogenic<br />
nematodes. Journal of Nematology, 34 (3) : 246-249.<br />
Weiser, J. 1955. Neoaplectana carpocapsae n. sp. (Anguillulata,<br />
Steinernematidae) novy cizopasnic housenik obalece jablecneho,<br />
Carpocapsa pomonella L. Vestnik Cesk. Zool. Spolecnosti, 19:<br />
44-52.<br />
Woodring, J. L. and Kaya, H. K. 1988. Steinernematid and<br />
heterorhabditid nematodes: In: a handbook of biology and<br />
techniques. Southern Cooperative Series Bulletin 331, Arkansas<br />
Agricultural Experiment Station, Arkansas, Fayetteville, pp 28.<br />
Wouts, W. M., Mracek, Z., Gerdin, S. and Bedding, R. A. 1982.<br />
Neoaplectana Steiner, 1929 a junior synonym of Steinernema<br />
Travassos, 1927 (Nematoda: Rhabditida). Systematic Parasitology,<br />
4 (2): 147-154.<br />
Zhang, I., Shonu, T., Yamanaka, S. and Tanabe, H. 1994. Effects of<br />
insecticides on the entomopathogenic nematode Steinernema<br />
carpocapsae. Applied Entomology and Zoology, 29 (4): 539-/<br />
547.<br />
Recieved on 5-12-2011 Accepted on 5-3-<strong>2012</strong>
Trends in Biosciences 5 (1): 74-76, <strong>2012</strong><br />
Prevalence of Grain Moulds in Sorghum Growing Areas of Northern Karnataka<br />
Y.S. MAHESH 1 , S. L<strong>IN</strong>GARAJU 2 , B. RAVI KUMAR 1 , B.MANJUNATH 1 AND M.G. PALAKSHAPPA 2<br />
1<br />
Department of Plant pathology, University of Agricultural Sciences, Bangalore-560 065, Karnataka<br />
2<br />
Department of Plant pathology, University of Agricultural Sciences, Dharwad-580 005, Karnataka<br />
e-mail: maheshsgowda@gmail.com<br />
ABSTRACT<br />
Sorghum is known to suffer from various diseases in the field.<br />
Among them Grain mold is a major disease wherever sorghum<br />
is grown if moist weather conditions prevail after flowering<br />
until grain maturity and before harvest. Survey revealed the<br />
presence of disease in all three districts viz., Belgaum, Dharwad<br />
and Haveri. The per cent disease index ranged from 61.25 to<br />
77.25. Per cent disease index was high in Belgaum district<br />
followed by Haveri and Dharwad district. Among different<br />
cultivars under cultivation in these districts, Maldandi<br />
(M 35-1) was more susceptible with per cent disease index of<br />
77.25 followed by CSH 5 which recorded a per cent disease<br />
index of 77.0.<br />
Key words<br />
Sorghum, grain mould, survey, north Karnataka<br />
Sorghum (Sorghum bicolor (L.) ranks fourth among the<br />
world’s cereals after wheat, maize and rice. Karnataka state<br />
accounts for 1790 thousand hectares area with the production<br />
of 1440 thousand tonnes of grain. The cultivation of sorghum<br />
is concentrated more in northern districts of Karnataka viz.,<br />
Bijapur, Dharwad, Belgaum, Raichur, Gulbarga and Bellary.<br />
Globally grain mould causes an estimated loss of $130 million<br />
annually (Anon., 1992). More than forty fungal genera are<br />
associated with moulded grains and most of them are<br />
facultative parasites or saprophytes, only a few fungi infect<br />
sorghum flower tissue during early stages of grain<br />
development. These include Fusarium moniliforme,<br />
Curvularia lunata, Alternaria alternata, Phoma sorghina<br />
and Exserohilum sp. Grain moulds have become increasingly<br />
important particularly after the introduction of early maturing<br />
hybrids and varieties. In kharif, the maturity of grains<br />
invariably coincides with the torrential late rains seen in<br />
September and October months in states of Karnataka, Andhra<br />
Pradesh, Maharashtra and Tamil Nadu, resulting in high grain<br />
moulds incidence. Therefore the present study was undertaken<br />
to assess the disease incidence in northern Karnataka.<br />
MATERIALS AND METHODS<br />
An intensive roving survey for grain mould disease was<br />
conducted during kharif 2003 to know the disease incidence<br />
in sorghum growing areas of Dharwad, Belgaum and Haveri<br />
districts of north Karnataka. In each district, three taluks were<br />
selected. In each field 10 plants were randomly selected and<br />
grain mould severity was recorded by following 0-5 scale.<br />
Then the per cent disease index (PDI) was calculated by using<br />
the formula given by Wheeler, 1969.<br />
Sum of individual disease 100<br />
ratings<br />
Per cent disease index= —————————— × —————<br />
Number of samples Maximum<br />
disease grade<br />
RESULTS AND DISCUSSION<br />
A roving survey to know the incidence of sorghum grain<br />
moulds was carried out in three districts viz., Belgaum, Dharwad<br />
and Haveri. A total of 45 villages, 15 from each district were<br />
surveyed, data obtained are presented in Table 1.<br />
Incidence of grain moulds of sorghum was noticed in all<br />
the places surveyed on two commonly grown sorghum<br />
cultivars CSH 5 and Maldandi. In Belgaum district, the per<br />
cent disease index (PDI) ranged from 64.00 to 77.25, the highest<br />
PDI of 77.25 was recorded in Hulikatti village of Saundatti<br />
taluk followed by 77.0 in Yakkundi and 76.00 in Hanchinal<br />
village of same taluk, which is higher than district average<br />
(71.38%). The lowest PDI of 64.00 was recorded in agarage<br />
village of Belgaum taluk followed by 65.20 in Peeranawadi of<br />
Belgaum taluk and Hosur village of Saundatti taluk.<br />
In Dharwad district, highest per cent disease index of<br />
73.76 was recorded in Dastikoppa village of Kalaghatagi taluk<br />
followed by 72.27 in Hirchanalli village of same taluk and<br />
72.25 in Kundagola of Hubli taluk. The lowest PDI of 61.25<br />
was recorded in Haralikatte village of Dharwad taluk. Overall<br />
among three taluks, highest PDI was recorded in Kalaghatagi<br />
taluk with 68.86 which is higher than district average of 66.80%.<br />
In Haveri district, the PDI ranged from 62.00 to 73.40.<br />
Highest percent disease index was recorded in Bankapur<br />
village with 73.40 of Shiggaon taluk followed by 73.25 in<br />
Shiggaon village of same taluk and 72.25 in Negalur village of<br />
Haveri taluk, which is higher than the district average (68.74).<br />
Lowest PDI of 62.00 was recorded in Hanumanatti village of<br />
Haveri taluk. Among three districts, highest disease index<br />
was recorded in Belgaum district with 71.38% followed by<br />
68.74% in Haveri district and lowest disease index of 66.80%<br />
was recorded in Dharwad district.<br />
Variation in disease incidence was observed variety wise<br />
and location wise. Among different cultivars grown in three<br />
districts, variety Maldandi (M 35-1) was the most popular<br />
one, which was seen in 29 fields followed by CSH 5 in 16<br />
fields. PDI was more on Maldandi (77.25) in Saundatti taluk<br />
but it was very low in Dharwad taluk (61.25). However CSH 5<br />
recorded a high disease index of 77% in Saundatti taluk and a
MAHESH et al., Prevalence of Grain Moulds in Sorghum growing areas of Northern Karnataka 75<br />
Table 1.<br />
Survey for grain mould incidence in different districts of north Karnataka<br />
District Taluk Village Variety/hybrid PDI<br />
Belgaum<br />
Belgaum Agarage CSH 5 64.00<br />
Hirebagewadi CSH 5 69.00<br />
Japarwade Maldandi 75.00<br />
Peeranawadi CSH 5 65.20<br />
Kaduli Maldandi 68.27<br />
Mean 68.29<br />
Saundatti Hanchinal Maldandi 76.00<br />
Hosur Maldandi 65.20<br />
Munavalli CSH 5 71.20<br />
Hulikatli Maldandi 77.25<br />
Yakkundi CSH 5 77.00<br />
Mean 73.29<br />
Bailhongal Sangolli Maldandi 72.50<br />
Nesaragi Maldandi 75.20<br />
Halaki Maldandi 72.70<br />
Tigadi CSH 5 73.00<br />
Kitlur CSH 5 70.00<br />
Mean 72.58<br />
District average 71.38<br />
Dharwad<br />
Dharwad Narendra Maldandi 68.00<br />
Chabbi Maldandi 64.00<br />
Haralikatle Maldandi 61.25<br />
Navalur Maldandi 62.25<br />
Yarikoppa Maldandi 71.25<br />
Mean 65.35<br />
Hubli Shiraguppi Maldandi 68.00<br />
Ingalahalli CSH 5 64.26<br />
Kundagola CSH 5 72.25<br />
Navanagar Maldandi 63.27<br />
Noolvi Maldandi 64.26<br />
Mean 66.40<br />
District<br />
Taluk Village Variety/hybrid POI<br />
Kalaghatagi Haliyala CSH 5 64.00<br />
Kalaghatagi CSH 5 62.25<br />
Nirsagar Maldandi 71.05<br />
Hirchanalli Maldandi 72.27
76 Trends in Biosciences 5 (1), <strong>2012</strong><br />
Haveri<br />
Dastikoppa Maldandi 73.76<br />
Mean 68.86<br />
District average 66.80<br />
Haveri Hanumanatti CSH 5 62.00<br />
Sangur Maldandi 68.00<br />
Bilavagi Maldandi 72.00<br />
Negalur Maldandi 72.25<br />
Devihosur CSH 5 65.78<br />
Mean 68.00<br />
Shiggaon Shiggaon CSH 5 73.25<br />
Bankapur CSH 5 73.40<br />
Hirebendigeri Maldandi 63.52<br />
Dhundashi Maldandi 72.00<br />
Konankeri Maldandi 72.00<br />
Mean 70.83<br />
Ranebennur Chalageri Maldandi 63.00<br />
Honnatti CSH 5 68.70<br />
Ranebennur Maldandi 65.25<br />
Sunkabidari Maldandi 70.25<br />
Halageri Maldandi 69.75<br />
Mean 67.39<br />
District average 68.74<br />
low of 62.25% in Kalaghatagi taluk.<br />
Hiremath and Palakshappa 1992 also found severe grain<br />
mould incidence on all genotypes of sorghum in Karnataka.<br />
Similarly, Padaganur and Palakshappa, 1998 also reported<br />
severe incidence of grain moulds in transitional zone of north<br />
Karnataka.<br />
The severity of the disease may be due to prolonged<br />
rainy season or coincidence of continuous rains and high<br />
degree of relative humidity during grain formation stage (From<br />
September to first week of October).<br />
LITERATURE CITED<br />
Anonymous. 1992. Medium Term Plan 1994-98. Research theme<br />
datasets Volume 3, International Crops Research Institute for Semi<br />
Arid Tropics, Patancheru, Andhra Pradesh, India, pp.229.<br />
Hiremath, R.V. and Palakshappa, M.G. 1992 Annual Report, All India<br />
Coordinated Research Project on Sorghum Improvement, pp.1-3.<br />
Padaganur, G.M. and Palakshappa, M.G., 1998, Survey of diseases of<br />
sorghum in North Karnataka. Annual Report on Sorghum, All India<br />
Coordinated Sorghum Improvement Project, University of<br />
Agricultural Sciences, Dharwad, pp.106-108.<br />
Wheeler, B.E.J. 1969. An Introduction to Plant Disease, John Willey<br />
and Sons Limited, London, pp.301.<br />
Received on 4-7-2011 Accepted on 12-12-2011
Trends in Biosciences 5 (1): 77-78, <strong>2012</strong><br />
SHORT COMMUNICATION<br />
Genetic Diversity in Bread Wheat [Triticum aestivum (L.) Em. Thell]<br />
HASAN TANVEER * , ARV<strong>IN</strong>D KUMAR AND HAMVEER S<strong>IN</strong>GH *<br />
Krishi Vigyan Kendra, Ruastamnagar, Bilari, Moradabad 202 415, Uttar Pradesh<br />
e-mail: htdania@yahoo.com<br />
Wheat is a major edible cereal crop of India. There is<br />
need to develop better genotypes suitable for higher yield<br />
with consumer acceptability. Thus there is an urgent need to<br />
improve grain yield productivity. In the present study genetic<br />
divergence (Mahalanobis, 1936; Rao, 1952 ) among available<br />
genotypes of wheat were investigated through D 2 statistics.<br />
The materials of present study comprised improved varieties<br />
of wheat. The genotypes were grown during rabi, 2008-2009<br />
in randomized block design with three replications at Krishi<br />
Vigyan Kendra, Bilari, Moradabad. The plot size 3.0 x 2.5 m<br />
comprised 11 rows and the sowing was done in rows 25 cm<br />
spacing. Observations were recorded on eight characters<br />
including yield.<br />
Data on yield components viz., plant height, number of<br />
tillers per plant, flag leaf area (Lazerao, 1965), spike length,<br />
days to maturity, number of grains per spike, 1000-grain weight<br />
were recorded on five randomly selected plants. Analysis of<br />
variance was performed on mean data. The genotypes were<br />
grouped into three different clusters based on D 2 values. The<br />
Table 1.<br />
Sl.<br />
No.<br />
Variation of different morpho-physiological, yield<br />
and yield component traits in bread wheat.<br />
Characters Range Mean S.E. (m)<br />
1 Plant height (cm) 77.00-106.33 89.37 0.99<br />
2 Number of tillers per<br />
plant<br />
9.33-13.00 11.00 0.84<br />
3 Flag leaf area (cm 2 ) (3) 16.55-35.48 21.62 0.51<br />
4 Spike length (cm) 9.33-13.00 10.87 0.70<br />
5 Days to maturity 90.00-131.00 115.96 3.21<br />
6 Number of grains per<br />
spike<br />
45.00-66.00 55.89 1.72<br />
7 1000-grain weight (g) 38.33-47.00 42.00 0.94<br />
8 Grain yield (q/ha) 38.07-60.45 45.59 1.16<br />
Table 2.<br />
Average intra and inter cluster D 2 values in bread<br />
wheat<br />
Clusters I II III<br />
I 2.097 3.40 3.59<br />
II 1.84 2.80<br />
III 1.26<br />
correlation among different traits were performed as per Dewey<br />
and Lu, 1959.<br />
The average performance of bread wheat cultivars in<br />
respect of different characters, yield and yield components is<br />
presented in Table 1. Highly significant differences (P=0.01)<br />
for all traits were recorded, indicating substantial divergence<br />
in the collection. The mean grain yield of trial was 45.59 q ha -<br />
1<br />
with the range of 38.07 to 60.45 q ha -1 . The flag leaf area (cm 2 )<br />
mean was 21.62 with the range of 16.55 to 35.48 cm 2 .<br />
Number of grains per spike ranges between 45.00 to<br />
66.00 with average of 55.89. While range between 90 to 131<br />
days for days to maturity with the mean of 115.89.<br />
Nine genotypes could be grouped in three clusters<br />
based on D 2 values and their intra and inter cluster distance<br />
are presented in Table 2. Inter cluster D 2 is a measure of genetic<br />
distance between the two clusters and was observed to be<br />
the highest for cluster number (I) and cluster number (III) and<br />
the lowest between cluster number (II) and cluster number<br />
(III).<br />
Three genotypes were clustered in cluster I, four<br />
genotypes in cluster II while two genotypes in cluster III. The<br />
genotype K 9423, K 9644 and K 7903 (all three from C.S.A.U.A<br />
& T, Kanpur) were found together in cluster I. It shows that<br />
these genotypes are linked together in respect of their<br />
development origin. The four genotypes, K 9351, K 0307,<br />
DBW 16 and PBW 502 were in cluster II suggests that the<br />
geographical isolation was not the only factor causing genetic<br />
diversity. Same criteria were also observed in cluster III<br />
because genotype K 9107 was developed from C.S.A.U.A &<br />
T, Kanpur and variety PBW 373 from P.A.U., Ludhiana.<br />
The wheat breeding for higher grain yield with duration<br />
is important, variety K 7903 represented by cluster I embodies<br />
the genes for short duration as identified by different<br />
physiological indices, however, it is poor in yield. On contrary,<br />
genotype K 0307 in cluster II embodies high grain yield<br />
potential. K 7903 and K 0307 can be undertaken for further<br />
hybridization programme to select short duration and high<br />
yielding segregants.<br />
Correlation analysis (Table 3) revealed that grain yield<br />
positively and highly significant genotypic correlation with<br />
number of tillers per plant. It is considered that selection for<br />
number of tillers per plant can improve grain yield while<br />
selecting plants in the segregating generations.
78 Trends in Biosciences 5 (1), <strong>2012</strong><br />
Table 3. Correlation among different traits in bread wheat<br />
p<br />
g<br />
Plant height<br />
(cm)<br />
Number of<br />
tillers per<br />
plant<br />
Flag leaf area<br />
(cm 2 ) (3)<br />
Spike length<br />
(cm)<br />
Days to<br />
maturity<br />
Number of<br />
grains per<br />
spike<br />
1000-<br />
Grain<br />
weight (g)<br />
Grain<br />
yield<br />
(q/ha)<br />
Plant height (cm) 1.00 0.403 -0.028 0.535 0.581 -0.144 0.072 0.625<br />
Number of tillers per plant 0.525 1.00 -0.307 0.235 0.614 -0.235 -0.031 0.674 *<br />
Flag leaf area (cm 2 ) -0.037 -0.480 1.00 -0.014 -0.393 0.205 -0.148 -0.149<br />
Spike length (cm) 0.668 * 0.015 -0.047 1.00 0.380 0.049 0.200 0.213<br />
Days to maturity 0.612 0.910 ** -0.414 0.526 1.00 -0.267 0.448 0.731<br />
Number of grains per spike -0.138 -0.298 0.225 0.172 -0.285 1.00 0.231 -0.407<br />
1000-grain weight (g) 0.095 -0.012 -0.143 0.259 0.524 0.283 1.00 0.097<br />
Grain yield (q/ha) 0.649 * 0.930 ** -0.152 0.223 0.755 * -0.405 0.109 1.00<br />
LITERATURE CITED<br />
Dewey, D. R. and Lu K. H. 1959. A correlation and path coefficient<br />
analysis of components of crested wheat grass seed population.<br />
Agron. J., 51: 515-518.<br />
Lazerao, R. 1965. Coefficient for determining the leaf area in certain<br />
agricultural crops. Rast. Nauki, 2: 27-37.<br />
Mahalanobis, P.C. 1936. On the generalized distance in statistics. Proc.<br />
Nat. Inst. Sci., 2: 49-55.<br />
Rao, C.R. 1952. Advanced Statistical Methods in Biometrical Research,<br />
ed. I, John Willey and Sons, New York.<br />
Recieved on 12-11-2011 Accepted on 15-2-<strong>2012</strong>
Trends in Biosciences 5 (1): 79-80, <strong>2012</strong><br />
SHORT COMMUNICATION<br />
Relation of Temperature and Humidity to Postharvest Rot of Chickpea Caused by<br />
Fungi<br />
SARITA JOSHI AND KAMLESH GUPTA<br />
Botany Department, Dayanand Girls P. G. College Kanpur<br />
email : jhimanshu1983@gmail.com<br />
Effect of temperature and humidity on the decay of<br />
mango, banana, guava, litchi, grapes and certain other fruits<br />
has been investigated by several workers (Bhargava, et al.,<br />
1965; Tandon and Singh, 1969; Bilgrami, 1973; Grewal, 1988;<br />
Krishnaiah, 1989 and Haware, 1998). However no significant<br />
information appears to to be available about the effect of<br />
temperature and humidity on the decay of chickpea (Cicer<br />
arietinum). The present work attempts to investigate the<br />
influence of above said factors on their post harvest fruit rot<br />
disease.<br />
For determining the effect of different temperature,<br />
healthy mature seeds of chickpea were obtained from Indian<br />
Institute of Pulse Research Kanpur. These seeds were surface<br />
sterilized with 0.1% Sodium hypochlorite solution. Seeds were<br />
inoculated with spore suspension of different fungi by pinprick<br />
injury method of inoculation. Inoculated seeds were incubated<br />
at different temperatures up to 12 days in open sterile<br />
polythene bags.<br />
Different levels of relative humidities were maintained<br />
in sterilized desicators according to method of Buxton and<br />
Mellanby, 1934. The percentage of rot was calculated by the<br />
formula:<br />
W - w<br />
Percentage rot = ——— * 100<br />
W<br />
Where W = Weight of the fruit before infection, and<br />
w = Weight of the fruits after removal of the infected<br />
tissue.<br />
Low temperature showed poor fungal advancement in<br />
seeds tissue, but this temperature increased the susceptibility<br />
of seeds. The fungal infection was more between 20 0 -30 0 C<br />
(Table 1) showing severe rotting.<br />
The disease was most severe when the RH was between<br />
90-100% at decreased humidity the severity of rot also<br />
decreased. Probably this is the reason that these seeds get<br />
spoiled more during wet season when humidity ranges<br />
between 90-100%. It has been generally observed that high<br />
humidity is most favourable for spore germination and<br />
penetration in the seeds tissues (Table 2).<br />
The rotting of chickpea by Ascochyta rabiei,<br />
Phytopthora megasperma and Sclerotium rolfsii was high<br />
when they were incubated at 25 0 C and 30 0 C. Phoma glomerata<br />
showed slower rate of rotting at different temperatures. It<br />
appears from the results of the present study that temperature<br />
has a pronounced effect on the rate of development of decay<br />
Table 1.<br />
Percentage rot of chickpea seeds inoculated with<br />
respective pathogens during storage at different<br />
temperature<br />
Pathogen<br />
Days of Temperature in 0 C<br />
Incubation 15 25 30<br />
Phoma glomerata 3 - 4.5 6.3<br />
6 - 4.8 6.5<br />
9 2.5 5.0 7.5<br />
12 3.8 5.5 8.0<br />
Ascochyta rabiei 3 1.5 4.5 5.7<br />
6 2.7 6.8 7.8<br />
9 3.0 7.6 8.9<br />
12 3.5 9.5 10.5<br />
Phytopthora megasperma 3 1.0 4.0 5.5<br />
6 2.8 5.5 7.8<br />
9 3.6 5.9 9.7<br />
12 4.1 7.8 11.5<br />
Sclerotium rolfsii 3 2.3 3.0 6.5<br />
6 3.0 4.1 7.9<br />
9 3.5 5.6 8.7<br />
12 4.1 7.9 12.6<br />
Table 2.<br />
Percentage rot of chickpea seeds incubated with<br />
respective pathogens during storage at different<br />
relative humidities<br />
Pathogen<br />
Days of Relative Humidity in %<br />
Incubation 30 50 70 90 100<br />
Phoma glomerata 3 2.5 3.1 10.5 14.1 16.8<br />
6 3.1 3.9 11.2 15.8 17.9<br />
9 3.9 4.2 11.7 17.9 21.3<br />
12 4.2 4.6 12.2 20.1 24.6<br />
Ascochyta rabiei 3 2.2 3.4 9.5 15.1 18.3<br />
6 3.4 4.5 10.6 17.5 19.9<br />
9 3.6 5.2 11.0 18.9 22.0<br />
12 4.1 5.5 12.1 20.9 24.6<br />
Phytopthora megasperma 3 2.5 3.5 7.9 14.4 18.3<br />
6 3.1 4.1 8.3 16.8 22.4<br />
9 3.7 5.2 9.9 19.7 24.1<br />
12 4.6 6.3 11.1 21.6 26.7<br />
Sclerotium rolfsii 3 3.1 3.4 7.5 17.1 20.1<br />
6 3.6 3.9 8.2 19.2 21.7<br />
9 4.3 4.8 9.5 20.7 24.1<br />
12 5.1 5.3 11.4 22.0 26.3
80 Trends in Biosciences 5 (1), <strong>2012</strong><br />
and consequently on the magnitude of the loss due to fungal<br />
infection.<br />
Relative humidity appears to have pronounced influence<br />
on the development of fungal disease as fairy infection was<br />
noticed at higher levels of humidity. In general it can be said<br />
that higher the humidity there is high percentage of rotting<br />
and at lower humidity rotting was poor.<br />
LITERATURE CITED<br />
Bhargava, S.N., Ghosh, A.K., Srivastava, M.P., Singh, R.H. and Tandon,<br />
R.N. 1965. Studies on fungal disease of tropical fruits VII. Effect of<br />
temperature on the decay on mango, banana, guava caused by some<br />
important pathogens. Proc. Natl. Acad. Sci. India, 35 :393-398.<br />
Buxton, P.A., Mellanby, K. 1934. The measurment and control of<br />
humidity. Bull. Entam. Res. 25:171-175.<br />
Grewal, J.S. 1988. Disease of pulse crops: An overview. Phytopath. 41:<br />
1-14.<br />
Haware, M.P. 1998. Disease of chickpea. The pathology of food and<br />
Pasture Legumes (eds. D.J. Allen and J.M.Lenne) CAB International<br />
ICARDA Wallingford U.K. pp.473-506.<br />
Krishnaiah, J. and Thirupathaiah, V. 1989. Environmental factors in<br />
relation to post harvest rot of grapes caused by fungi. Res. J. Pl.<br />
Environ., 5(1): 59-62.<br />
Prasad, S.S. and Bilgrami, R.S. 1973. Investigation on disease of Litchi<br />
II: influence of temperature and humidity on the decay of fruits<br />
caused by nine virulent pathogens. Indian Phytopath, 26:517-522.<br />
Tandon, I.N. and Singh, B.B. 1969. Studies on anthracnose of guava<br />
and its control. Indian Phytopath, 22:322-326.<br />
Recieved on 12.1.<strong>2012</strong> Accepted on 3.3.<strong>2012</strong><br />
1. ERRATUM<br />
Research paper Sida cordifolia: Morphological Characterization of Plants Growth in a Variant Habitat of Kanpur Nagar<br />
ALPANA TEWARI* AND NA<strong>IN</strong>A SRIVASTAVA published in Trends in Biosciences 4(2): 233-234, 2011 should be read as<br />
Sida cordifolia: Morphological Characterization of Plants Growth in a Variant Habitat of Kanpur Nagar<br />
ARCHANA SRIVASTAVA, ALPANA TEWARI* AND NA<strong>IN</strong>A SRIVASTAVA, Trends in Biosciences 4(2): 233-234, 2011.<br />
2. ERRATUM<br />
Research paper Efficacy of Herbal Flavoured Sterilized Milk-A Dairy Based Nutraceutical RITU P. DUBEY, POOJA<br />
KUMARI AND MEENU S<strong>IN</strong>GH published in Trends in Biosciences 4(2): 198-200, 2011 should be read as Efficacy of Herbal<br />
Flavoured Sterilized Milk-A Dairy Based Nutraceutical RITU P. DUBEY, MEENU S<strong>IN</strong>GH AND POOJA KUMARI, Trends<br />
in Biosciences 4(2): 198-200, 2011.
Trends in Biosciences 5 (1): 81-83, <strong>2012</strong><br />
Author Index<br />
(Vol. 4, No. 1&2, 2011)<br />
A<br />
Ahmad Javed 169<br />
Ahmad Tabrez 180<br />
Ahmed Mohammed Osman 138<br />
Ali, S.S. 31,82,98,103,123,140<br />
Ashok Rathore 1<br />
Asif Mohammad 35,82,98, 140<br />
Attri Rajni 219<br />
Awasthi Nimisha 230,235<br />
Azad, B.S. 75<br />
Azra Shaheen 98<br />
Ahmad Javed 169<br />
Ahmad Tabrez 180<br />
Attri Rajni 219<br />
B<br />
Basharat, N. 95<br />
Bhagat, I. 56<br />
Bhaskar, R.S. 79<br />
Burungale,S.V. 120<br />
C<br />
Channa Ashok 19<br />
Chatterjee Sayan 157<br />
Chauhan, R.M. 120<br />
Chauhan, S.K. 68<br />
Chavan, Sagar 86<br />
D<br />
Dar, S.A. 44<br />
Devasahayam Mercy 88,175<br />
Dubey Deepak Kumar 38,210<br />
Dubey P. Ritu 198,208, 228<br />
Dubey Rajni 75<br />
Dubey Ritu Prakash 182<br />
Dwivedi Pratibha 77<br />
E<br />
Elangovan Vadamalai 8, 53<br />
G<br />
Gami, R.A. 120<br />
George Rachel 230<br />
Gupta Astha 63<br />
H<br />
Haider Jamal 175<br />
I<br />
Idowu,A.A. 126<br />
Irulan, A. 8<br />
J<br />
Jakhmola, S.S. 25<br />
Johnson William 130<br />
K<br />
Kamaluddin 172<br />
Katna Sapna 51<br />
Kaur Harpreet 219<br />
Khan Khalil 230,235<br />
Khan Khalil 109<br />
Koli,N.R. 224<br />
Kumar Anil 41, 106<br />
Kumar Ashok 38, 210<br />
Kumar Rajesh 53,134<br />
Kumari Pooja 182,198<br />
L<br />
Lodam, V.A. 91<br />
Lok Nath 12<br />
M<br />
Makhdoomi, M.I. 44<br />
Malik Mohd. Nadim 169<br />
Mall, T.P. 47, 58, 128, 132,185<br />
Mandhan Rishi Pal 161
82 Trends in Biosciences 5 (1), <strong>2012</strong><br />
Manjunath, B. 31,71<br />
Marimuthu, Y. S. 8<br />
Masih, Sam A 175<br />
Mastan, S.A. 138<br />
Mecarty Samuel D 1, 88<br />
Meena Girraj Singh 77<br />
Mercy Devasahayam 1<br />
Mir Imtiyaz Hussain 19<br />
Misra Atul Kumar 61<br />
Mohan Jitendra 118<br />
Mohan, J. 101<br />
Mohan, N. 101<br />
Munjal Neera 157<br />
Murugesh, K.A. 79<br />
N<br />
Nabi Sumaira 19<br />
Nagaraja, T.G. 86, 112<br />
Nagpal Neeraj 157<br />
Naik,B. Gangadhara 71<br />
Narayan Shyam 101<br />
Narayanaprasad, G.B. 114<br />
Nargund, V.B. 31<br />
Nathan, P. T. 8<br />
O<br />
Osunlola, O.S. 126<br />
P<br />
Pandey Alok 75<br />
Pandey, H.P. 68<br />
PandeyAvinash 95<br />
Pankaj, T. 146<br />
Parameswaran, P. 130<br />
Patel, I.S. 116,136<br />
Patel, J.K. 116, 136<br />
Patel, P.S. 116, 136<br />
Patel, P.T. 120<br />
Patel, S.A. 116, 136<br />
Patil Shridhar 23<br />
Patil, P.P. 91<br />
Patil, S.R. 91<br />
Paul Newton 180<br />
Pervez Rashid 103<br />
Pooja Kumari 228<br />
Prabhu,Aditi M. 194<br />
Prakash Chandra 224<br />
Prasad Keshav 41<br />
Prasad, C.S. 12<br />
Prasad, G.K. 114<br />
Prasad, H. N. 5<br />
Prasad, P.S. 71<br />
Pravin Kumar Singh 5<br />
Priya, G. 8<br />
R<br />
Rajnish Kumar 75<br />
Rana Kiran 51<br />
Rana, B.S. 51<br />
Randhawa, H.S. 56<br />
Rani Sandhya 161<br />
Rathore Ashok 88<br />
Raut,S.V. 194<br />
Raza, A.K. 68<br />
Razvi, S.M. 172<br />
S<br />
Sachan, B.S. 41,106<br />
Sachan,C.P. 205<br />
Sagar Alka 66<br />
Sahui Anjali 235<br />
Saifulla Muhammad 71<br />
Samundeeswari, S. 130<br />
Shaheen Azra 82, 123<br />
Shahid Mohammad 21, 205<br />
Shakya, Narendra B. 101<br />
Shalini Mishra 175
Author Index (Vol. 4, 1&2, 2011) 83<br />
Shankar, P. 140<br />
Sharma,A.K. 180<br />
Sharma Parvati 215<br />
Sharma Sanjay 148<br />
Sharma, H.K. 51<br />
Sharma, M.K. 66<br />
Sharma, Suresh K. 142<br />
Shivakumar, P.S. 114<br />
Shivran,R.K. 224<br />
Shukla, P.K. 21<br />
Shukla,C.P. 189<br />
Siddiqui, A.U. 148<br />
Sihag, R.C. 215<br />
Simon Sobita 95<br />
Singh Ajai 235<br />
Singh Anuradha 21, 205<br />
Singh Archana 118<br />
Singh Bijendra 109<br />
Singh Dileep Kumar 180<br />
Singh Meenu 198<br />
Singh Neeraj 230<br />
Singh Pradyumn 25<br />
Singh, A. K. 63<br />
Singh, D.P. 47, 58, 132<br />
Singh, S.K. 75<br />
Sirohi Anita 146<br />
Sirvastava, S.P. 140<br />
Sofi, P.A. 172<br />
Srivastava Amit 134<br />
Srivastava Archana 201<br />
Srivastava Mukesh 205<br />
Srivastava Naina 233<br />
Srivastava, S.P. 75<br />
Sudarshan 114<br />
Sudarshan, G.K. 31<br />
Sultan, M. Sarwat 142<br />
Sunanda, B.S. 148<br />
Sundaresha 114<br />
T<br />
Taiwo, B.R. Aminu 126<br />
Tewari Alpana 201, 233<br />
Tewari Seema 165<br />
Tewari Vijay 118<br />
Thakor, D.M. 120<br />
Tiwari Sugandha 222<br />
Tiwari, G.N. 12<br />
Tripathi Madhu 165<br />
Trivedi Parul (Mishra) 232<br />
U<br />
Umer Shahid 169<br />
V<br />
Varpe, P.G. 91<br />
Vashi, R.D. 91<br />
Vyas Priti 23<br />
Y<br />
Yadav Swapanil 66
Trends in Biosciences 5 (1): 84-87, <strong>2012</strong><br />
Subject Index<br />
(Vol. 4, No. 1&2, 2011)<br />
A<br />
Acute exposure 165<br />
Agriculture 5<br />
Algae 118<br />
Alizarin reds 19<br />
Allelopathy 68<br />
Alternaria alternate 112<br />
Alternaria 47,58<br />
Anti fungal 112<br />
Antimicrobial activity 23<br />
Aphid 56,116<br />
Arthropod diversity 12<br />
Aspergillus niger 112<br />
Azolobaetor 109,169<br />
B<br />
Bacillus sp. 8<br />
Basic chromium sulphate 38<br />
Bioagents 116<br />
Biocontrol 71<br />
Biodiversity 189<br />
Biofertilizer 101,194<br />
Biomarkers 210<br />
Biomarkers 38<br />
Biomethanation 66<br />
Bioremediation 175<br />
Blorilized milk 198<br />
Botanicals 25, 79<br />
Bread wheat 120<br />
Brinjal 12<br />
Bruchid 25<br />
Bt 35<br />
Bumble bee 51<br />
C<br />
Calcium 19<br />
Callosobruchus maculates 25<br />
Callus 21<br />
Catfish 165<br />
Cereals 68<br />
Channa punctatus 38,210<br />
Character association 172<br />
Characterization 219<br />
Chickpea 35,82,205<br />
Chitin 8<br />
Chlorophylls 86<br />
Ciliated protozoa 180<br />
Citrobacter sp. 8<br />
Cladocerans 180<br />
Cladosporum 112<br />
Co-efficient of variation 44<br />
Colony forming unit 71<br />
Colour 157<br />
Columnar epithelial cells 19<br />
Combining ability 120<br />
Common bean 44, 172<br />
Composts 66<br />
Conopid fly 51<br />
Coturnix coromandelica 61<br />
Coulombic efficiency 175<br />
Cross bred cattle 1<br />
D<br />
Daphnia 180<br />
Diabetes 161<br />
Diallel analysis 120<br />
Disease index 31<br />
Diseases 215<br />
E<br />
Eco-races 53<br />
Ecosystem 82
Subject Index (Vol. 4, No. 1&2, 2011) 85<br />
Efficiency 224<br />
Electronic resources 5<br />
Employment 106<br />
Enterobacter sp. 8<br />
Entomopathogenic nematodes 35, 103, 123<br />
Enzymatic activity 95<br />
Epizootical ulcerative syndrome 215<br />
Eri silkworm 53<br />
Essential oils 23<br />
Exorista bombycis 79<br />
Explant 21<br />
F<br />
Fecundity 75<br />
Fennel 116<br />
Fertizer 41<br />
Fish gills 165<br />
Fish 215<br />
Flavor 198<br />
Fluoride toxicity 165<br />
Foliar fungi 58<br />
Foliicolous fungi 47, 185<br />
Frozen yoghurt 182<br />
Fructated DNA 161<br />
Fungicides 71<br />
Fusarium oxysporum 112<br />
G<br />
Gamma rays 77<br />
Ganga 118<br />
Genetic divergence 63<br />
Genetic diversity 63<br />
Genetic grades 1<br />
Genotypes 114<br />
Germination 205<br />
Grain damage 75<br />
Gram-negative 23<br />
H<br />
H. armigera 35<br />
Hemorrhagic septicemia 215<br />
Hepatotoxicity 38<br />
Heritability 44<br />
Heterosis 91<br />
Hipposiderous fulvus 8<br />
Holstein friesian 1,88<br />
Hormonal secretions 61<br />
Horticultural 106<br />
Human diet 208<br />
Hyadaphis coriandri 116<br />
I<br />
Indian major carp 215<br />
Indirect selection 172<br />
Infectivity 103<br />
Information technology 5<br />
Inland water 175<br />
Internet 5<br />
Intestinal tract 19<br />
K<br />
Key stone sp. 189<br />
L<br />
Lactation yield 88<br />
Larval period 75<br />
Larvicidal effect 95<br />
Lathyrus sativus 77<br />
LC 50<br />
38, 210<br />
Line x tester 91<br />
Lipid 86<br />
Liquid formulation 35<br />
Lucknow city 180<br />
M<br />
M. javanica 219<br />
Maggoticides 79
86 Trends in Biosciences 5 (1), <strong>2012</strong><br />
Malaria 222<br />
Margosa 25<br />
Market survey 201<br />
Maruca vitrata 103<br />
Mass production 103<br />
Mdr pathogens 23<br />
Medicinal plants 33,201<br />
Meloidogne incognita 95<br />
Mfc 175<br />
Microorganism 157<br />
Milking management system 1, 88<br />
Morphologically 219<br />
Morphometrically 213, 219<br />
Morphometrics 98<br />
Morphotaxonomy 47<br />
Mycorrhiza 169<br />
N<br />
Natural colorant 157<br />
Natural day length 61<br />
New species 98,123<br />
Nigrocine black 210<br />
Nitrogen 109,169<br />
NMU 77<br />
North central tarai forest 185<br />
NPU 35<br />
NSKE 35<br />
Nutrient 109, 208<br />
O<br />
O. columbiana 82<br />
O. hussainii 82<br />
Oscheius ciceri 82<br />
Oscheius nadarajani 98<br />
P<br />
Paddy 41<br />
Paecilomyces lilacinus 95<br />
Papaya pulp 182<br />
Parasitization 51<br />
Parthenium hysterophorus 68<br />
Pesticide resistant 194<br />
Petroleum ether 25<br />
Phosphorous 169<br />
Photoperiodic schedule 61<br />
Physico-chemical quality 118<br />
Phytostimulation 194<br />
Pigeonpea 82<br />
Plant age 222<br />
Plant density 222<br />
Plant height 222<br />
Plant products 75<br />
Plantago ovate 169<br />
Plasmid profile 194<br />
Ponds 180<br />
Population 56, 219<br />
Potassium 169<br />
Productivity 41<br />
Protein profile bioprotection 194<br />
R<br />
Reactive oxygen species 161<br />
Rearing performance 51, 53<br />
Resistance 114<br />
Resources 5<br />
Rice weed control 224<br />
Rice 91,114<br />
S<br />
Sca 120<br />
Scenario 106<br />
Schizaphis graminum 56<br />
Schizothorax curvifrons 19<br />
Seasonal abundance 116<br />
Seed yield 169<br />
Seedling length 205<br />
Selection index 172
Subject Index (Vol. 4, No. 1&2, 2011) 87<br />
Sensory quality 182<br />
Sewage water 175<br />
Sheath rot 114<br />
Slow release water soluble micronutrient brick 86<br />
Slow rusting 31<br />
Somaclonal variations 21<br />
Species novel 58<br />
Species novum 47<br />
Spirulina 182<br />
Springseason 53<br />
Star fruit 208<br />
Steinernema sayeedae 123<br />
Steinernema seemae 35<br />
Stem rot 71<br />
Structural alterations 165<br />
Sunflower genotypes 31<br />
T<br />
Taxonomy 98, 123<br />
Testicular activity 61<br />
Tomato 101<br />
Topical application 79<br />
Traditional knowledge 189<br />
Traditional medicine 201<br />
Trigonella foenum graceum 86<br />
Triticum aestivum 56<br />
U<br />
Uasb reactors 66<br />
Ultra-structural 210<br />
Urban environment 201<br />
Uredospores 31<br />
V<br />
Variability 44<br />
Vigour 205<br />
Vindhyan region 189<br />
W<br />
Weather factors 12<br />
Web-based 5<br />
Weed dynamics 224<br />
Wheat 41, 56<br />
Y<br />
Yield components 91<br />
Yield 41<br />
Z<br />
Zea mays 63
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