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Vol. 12, Special Issue 8 (2023)

Seasonal incidence and weather based forewarning models for foliage feeders of groundnut

Author(s):
GV Suneel Kumar, L Rajesh Chowdary and O Sarada
Abstract:
Field trials were conducted to study the effect of climatic factors on the occurrence of leaf miner, Aproaerema modicella (Deventer) and tobacco caterpillar, Spodoptera litura (Fabricius) in groundnut for two years i.e., 2016 and 2017 during kharif season at the Agricultural Experimental Station, Darsi, Prakasam district from Andhra Pradesh. Data on the seasonal incidence of foliage feeders and their natural enemies were statistically analyzed for individual years and also cumulatively with meteorological factors using correlation and linear regression methods. The correlation studies showed a significant positive relationship between the population of A. modicella and S. litura larvae with the minimum temperature. The coefficient of determination (R2) was calculated for all climatic factors together that influenced the A. modicella larval population by 79.1% during 2016, 78.3% during 2017, and 84.4% on a cumulative basis for both years. While, the population of S. litura larvae was influenced by all climatic factors together by 75.5% during 2016, 64.2% during 2017 and 75.3% cumulatively when the linear regression equations were employed.
Pages: 95-101  |  416 Views  228 Downloads
How to cite this article:
GV Suneel Kumar, L Rajesh Chowdary and O Sarada. Seasonal incidence and weather based forewarning models for foliage feeders of groundnut. The Pharma Innovation Journal. 2023; 12(8S): 95-101.

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