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The correlation between weather parameter and population of tobacco leaf eating caterpillar, Spodoptera litura (Fab.) larva (mrl-1) on different groundnut varieties at different sowing windows and forewarning models for prediction of population of tobacco leaf eating caterpillar, Spodoptera litura (Fab.) during kharif season, 2017 and 2018. The experiment was laid out in split plot design with three replications. The treatment comprised of four varieties viz., V1: JL-501, V2: RHRG-6083 (Phule Unnati), V3: TAG-24 and V4: JL-776 (Phule Bharati) as main plot and four sowing windows viz., S1: 25rd MW (18th to 24th June), S2: 26th MW (25th June to 01st July), S­3: 27th MW (2nd to 8th July) and S4: 28th MW (09th to 15th July) as sub plot treatments. The correlation of weather parameters with incidence of Spodoptera litura showed that the population of Spodoptera litura was found to have significant and positive correlation with evening relative humidity whereas maximum temperature and rainfall showed negative correlation with seasonal incidence of Spodoptera litura. Prediction of Spodoptera litura populations in different sowing window based on regression equations (R2) 72 to 83 per cent validation based on different weather parameters for variety JL-501, (R2) 66 to 85 per cent validation based on different weather parameter for variety RHRG-6083, (R2) 71 to 87 per cent validation based on different weather parameter for variety TAG-24 and (R2) 69 to 84 per cent validation based on different weather parameter for variety JL-776 for the prediction of Spodoptera litura population.

journal of entomology and zoology studies

Population dynamics and forewarning models for prediction of population of tobacco leaf eating caterpillar, Spodoptera litura (Fab.) Under different sowing window and groundnut varieties