Calibration and validation of the INFOCROP model for moisture stress situation in cotton

Abstract

INFOCROP model is a generic model that integrates variety, soil, environmental and management practices. In cotton as water deficit stress increases the yield decreases in linear trend. The INFOCROP model overestimates the yield to an extent of 8.79 percent. The INFOCROP model simulated more number of days for phenological observations viz., anthesis (80 days) and maturity (177 days). The simulated boll weight is less than observed. Similarly INFOCROP model showed 16 percent more leaf area index in irrigated and 5.6 percent in rainfed condition. The boll weight deviated to an extent of 40 percent. During 2010-11 in the present study there was 16 percent decrease in yield in rainfed condition as compared to irrigated condition. There was decrease in growth and yield parameters. Thus considering the overall performance of the INFOCROP model, it predicts the yield to 91 percent of accuracy and hence it can be used in the evaluation of inputs and factors controlling growth for yield prediction in cotton.