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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here
ICV 2022: 95.28
Index Copernicus ICI Journals Master List 2022 - IJCMAS--ICV 2022: 95.28
For more details click here
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Original Research Articles                      Volume : 7, Issue:2, February, 2018
PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38
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Int.J.Curr.Microbiol.App.Sci.2018.7(2): 1066-1072
DOI: https://doi.org/10.20546/ijcmas.2018.702.132


Effectiveness of some Insecticides against Larval Population of Two Major Defoliators of Soybean
Pragya Yadav1, V.K. Yadav2*, S. Banerjee1 and M.P. Gupta2
1Department of Zoology, M. L. B. Govt. PG. College, Bhopal, India
2Jawaharlal Nehru Krishi Vishwa Vidyalaya, India
*Corresponding author
Abstract:

The present investigation was carried out during kharif season 2010 and 2012 at farmers’ field near College of Agriculture, Kundeshwar Road, Tikamgarh (M.P.). Nine insecticides were evaluated against semilooper and tobacco caterpillar on JS 93-05 variety of soybean in randomized complete block design with three replications. The result revealed that all the insecticides, under investigation, were found effective in reducing the population of semilooper and tobacco caterpillar over the unsprayed control. However, among the insecticides, indoxacarb (14.5 SC) was superior followed by lembda cyhalothrin (5 EC) in reducing the larval population of semilooper and tobacco caterpillar.


Keywords: Chemical control, Semilooper, Tobacco caterpillar, Insecticides, Soybean

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How to cite this article:

Pragya Yadav, V.K. Yadav, S. Banerjee and Gupta, M.P. 2018. Effectiveness of some Insecticides against Larval Population of Two Major Defoliators of Soybean.Int.J.Curr.Microbiol.App.Sci. 7(2): 1066-1072. doi: https://doi.org/10.20546/ijcmas.2018.702.132
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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