Linear regression model development for wheat yield using weather variables at different phenological stages

Abstract

This study examines the effect of climatic factor e.g. Maximum Temperature, Minimum Temperature and sunshine variation on the yield of different stages of wheat in during Rabi season 2015-16 at research and instructional farm of IGKV Raipur (CG) India. The correlations of average wheat yield for 14 crop seasons (2001-02 to 2015-16) have been studies for kanchan variety. In multiple linear regression maximum temperature have significantly to has been found influenced the grain yield of Kanchan variety of wheat during all stages except the Maximum temperature at maturity. The maximum temperature of Kanchan variety (based on probability values associated with t statistics) during 50% flowering stage and it was followed by milk stage. The highest positive significant effect of rainfall was observed during 50% flowering. Rainfall at crucial phases of CRI, tillering, emergence, 50% flowering, milking and dough stages is helping to meet the crop water requirement which includes maintaining soil moisture status and evapotranspiration losses.