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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 6, Issue:6, June, 2017

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

Int.J.Curr.Microbiol.App.Sci.2017.6(6): 2125-2137
DOI: https://doi.org/10.20546/ijcmas.2017.606.252


Association of Weather Variable with Pest Outbreak in Bt-Cotton in the Cotton Belt of North India
Priyanka Swami1*, Ramniwas2, Anupam Maharshi3 and M.L. Khichar2
1Department of Agrometeorology, G. B. Pant University of Agriculture and Technology, Pantnagar, India
2Department of Agricultural Meteorology, Chaudhary Charan Singh Haryana Agricultural University, Hisar, Haryana, India
3Department of Mycology and Plant Pathology, IAS, Banaras Hindu University,Varanasi, U.P., India
*Corresponding author
Abstract:

Major threat to highly productive cotton belt of North India is Cotton Leaf Curl Disease exclusively transmitted by whitefly (Bemisia tabaci). The present investigation was carried out at Research farm of department of Agricultural Meteorology, CCS HAU, Hisar Haryana, to evaluate progression of CLCuD and whitefly (Bemisia tabaci) in relation to weather parameters. Three Bt -cotton hybrids were sown at three different dates. Per cent CLCuD incidence increases continuously from appearance to picking. Early sowing found to be more appropriate to minimize CLCuD infestation having less per cent disease incidence and whitefly population as compared to late sown crop. Correlation analysis reveals that per cent CLCuD incidence and whitefly population shows a significant negative correlation with temperature maximum and minimum while positively correlated with relative humidity morning and evening. Sunshine hours are significant positively correlated with both per cent CLCuD incidence and whitefly population. Whitefly population decreases with increased rainfall and negatively correlated with rainfall. Maximum variability (54.4%) in per cent CLCuD incidence appears due to temperature minimum.


Keywords: Association, Weather, Bt-cotton, North India and Cotton belt

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How to cite this article:

Priyanka Swami, Ramniwas, Anupam Maharshi and Khichar, M.L. 2017. Association of Weather Variable with Pest Outbreak in Bt-Cotton in the Cotton Belt of North India.Int.J.Curr.Microbiol.App.Sci. 6(6): 2125-2137. doi: https://doi.org/10.20546/ijcmas.2017.606.252
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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