Using crop simulation models is an efficient complement to experimental research. Crop models can also be helpful with respect to decision-making in sustainable farming system. This study was done to estimate genetic coefficients and evaluate performanced DSSAT in prediction of development, growth and yield in wheat. Data from various field experiments for four wheat cultivars Koohdasht, Shiroudi, Tajan and Zagros were used. After estimation of genetic parameters, the model ability were evaluated in simulation of phonological development in days to anthesis, days to maturity, dry matter production at anthesis and physiological maturity, leaf area index at anthesis, accumulation of nitrogen at anthesis and maturity and grain yield. Root Mean Square Error (RMSE) for grain yield was equal to 668 kg.ha-1 which was 18.2 percent of the mean yield. Model predictions were appropriate for other crop development and growth characteristics. Therefore, the model can be used for simulation these cultivars.
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