Prediction of the Total Biomass and Yield of Pearl Millet using Solar Radiation and Spectral Measurements

Abstract

Multiple linear regression models were developed for prediction. of pearl millet dxy biomass and yield under agroclimatic conditions of Delhi. A stepwise regression analysis was carried out to select the best agrometeorological (absorbed photosynthetically active radiation, evapotranspiration and thermal interaction rate) and spectral indices (infra redlred ratio and no;malised difference) which explained maximum variation in dxy biomass and. yield. The R- values obtained were 0.973 and 0.995 for dry biomass and yield models, respectively.