International Journal of Environment and Climate Change

In agriculture aspect crop simulation models play key role in developing the decision making research, technology management and policy options. It acts as useful tool to predict the growth development and production of a crop under varying soil, crop input and climatic condition. The DSSAT CROPGRO model was calibrated and validated through field experiment on chickpea crop during rabi seasons i.e. 2020-21 and 2021-22 at instructional farm Indira Gandhi Krishi Vishwavidyalaya, Raipur Chhattisgarh. The experiment was laid out in randomized block design (factorial) considering 9 treatments of two factors 3 dates of sowing (D₁=Nov. 10, D₂=Nov. 25, D₃=Dec. 10) and 3 cultivars (V₁=Vaibhav, V₂=JG-14 and V₃=JG-16). The results reported highest deviation percentage at anthesis days was (4.8 to 10 %) and physiological maturity was (1.7 to 5.5%) for JG-16 cultivar, whereas in seed yield the highest deviation percent was (6.2 to 9%) for Vaibhav cultivar. Similarly after validation the highest deviation percentage at anthesis days was (0 to 10.7%) for JG-16, at physiological maturity (1.8 to 3.6%) for Vaibhav and in seed yield (2.4 to 9.5%) for JG-16.