Statistical forewarning models for sucking pests of cotton in Maharashtra

Authors

  • AMRENDER KUMAR AKMU, ICAR-Indian Agricultural Research Institute, New Delhi 110012
  • P.W. NEMADE Dr Panjabrao Deshmukh Krishi Vidyapeeth, Akola 444104, Maharashtra
  • RAKHEE SHARMA AKMU, ICAR-Indian Agricultural Research Institute, New Delhi 110012
  • R. K TANWAR ICAR-National Research Centre for Integrated Pest Management, New Delhi 110012
  • C. CHATTOPADHYAY ICAR-National Research Centre for Integrated Pest Management, New Delhi 110012
  • S.S. WANJARI Dr Panjabrao Deshmukh Krishi Vidyapeeth, Akola 444104, Maharashtra
  • T.H. RATHOD Dr Panjabrao Deshmukh Krishi Vidyapeeth, Akola 444104, Maharashtra

DOI:

https://doi.org/10.54386/jam.v20i1.507

Keywords:

Cotton,, sucking pests, quantitative models, weather-based regression model

Abstract

Weather-based prediction models for pests (aphids, thrips and leafhoppers) in cotton crop were developed on various aspects viz., crop age at first appearance of pests and maximum population of pests at Akola (Maharashtra). Historical data from 1997-98 to 2010-11 on population of aphids, thrips and leafhoppers along with weekly weather data (two weeks before sowing) were considered for
development of models and validated for the subsequent three years from 2011-12 to 2013-14. Weatherbased indices were generated, which were used as explanatory variables in development of models. The study reveals that the prediction for crop age at first appearance of pests, crop age at peak population of pests, and maximum population of pests can be issued at least two to three weeks in advance. 

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Published

01-03-2018

How to Cite

AMRENDER KUMAR, P.W. NEMADE, RAKHEE SHARMA, R. K TANWAR, C. CHATTOPADHYAY, S.S. WANJARI, & T.H. RATHOD. (2018). Statistical forewarning models for sucking pests of cotton in Maharashtra. Journal of Agrometeorology, 20(1), 62–65. https://doi.org/10.54386/jam.v20i1.507

Issue

Vol. 20 No. 1 (2018): March

Section

Research Paper

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