Author(s): N. L. Dewangan, H. L. Sharma and S. B. Das

Abstract: In the present paper the prediction of average number of soybean whitefly at various yellow sticky trap height has been performed using the meteorological data namely maximum and minimum temperature, relative humidity morning and evening, wind velocity, vapour pressure morning and evening, rainy days and sunshine hrs. with the help of correlation and regression approach. The various prediction models have been developed using a combination of meteorological variables at different trap height which provides the value of R² from 14 to 54 per cent playing their important role in the prediction. A combination of meteorological parameters namely maximum and minimum temperature, relative humidity morning and evening, rainfall, sunshine hours and wind velocity are found to be more influential variable to attract soybean whitefly explaining 54 per cent variability towards observation of whitefly.

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