Development of weather based rice yellow stem borer prediction model for the Cauvery command rice areas, Karnataka, India
Cogent Food & Agriculture
Relationship of weather parameters viz., maximum temperature (T max , °C), minimum temperature (T min , °C), rainfall (RF, mm), morning relative humidity (RH 1 , %), evening humidity (RH 2, %), and sunshine hours (SSH), during seven years at Mandya (Karnataka) was individually explored with peaks of rice yellow stem borer (YSB) Scirpophaga incertulas (Walker) light trap catches. The peaks of YSB trap catches exhibited significant correlation with T max of October 3rd week, T min of November 1st
... min of November 1st week, RF of October 2nd week, RH 1 of November 4th and RH 2 of November 1st week, and SSH of October 4th week. Weather-based prediction model for YSB was developed by regressing peaks of YSB light trap catches on mean values of different weather parameters of aforesaid weeks. Of the weather parameters, only T min , RF, and RH 1 were found to be relevant through stepwise regression. The model was validated satisfactorily through 8-year independent data on weather parameters and YSB light trap catch peaks (R 2 = 0.90, p < 0.0002). He is presently engaged in research on development of decision support systems for pest management and climate change impacts on insect pests. His contributions are as below: Developed spectral signatures and spectral indices for rice brown plant hopper with remote sensing techniques, Assessed impact of effect of elevated CO 2 on rice BPH in open top chambers (OTCs), Developed forewarning thumb rule for rice BPH for Mandya region, Karnataka, India, Documented the wild pollinators in broccoli, and studied the importance of wild pollinators in broccoli pollination and seed setting.