摘要: The predicted rise in global population and the impact of climate change on agricultural output necessitate a forecast of future yield levels as well as an assessment of the best management options for reducing climate risk and promoting long-term agricultural production. Crop simulation models are commonly used to forecast crop development and yield under a variety of management strategies and climatic variables. The goal of this research was to parameterize the CERES-Wheat models, which were implemented in the Decision Support System for Agrotechnology Transfer (DSSAT) software, in order to predict phenology and grain yield of common wheat in Tarai region environments. The study was carried out to calibrate and validate the CERES-Wheat model for the Tarai region of Uttarakhand. Calibration was performed using grain and biomass yield of HD2967 for three treatments of sowing dates (15th November, 25th November, and 5th December) and three levels of irrigation. After calibrating the CERES-Wheat model, a set of conservative parameters was obtained. The calibrated CERES-Wheat model was then used to validate wheat yield and biomass for the year 2018-19. The results showed that using this crop growth model, wheat yield and biomass can be simulated with reasonable accuracy. Overall, the agreement between the simulated and observed wheat grain yields was satisfactory. On the basis of statistical indicators it can be concluded that the model mode fitted the observed data set very well and it can be used to forecast wheat yield in this region.