Crop simulation models are used in predicting crop productivity under various crop management options and changing climatic parameters that require determination of genetic coefficient of a crop cultivar. Successful use of a crop model depends on the accuracy of calibration and validation of different parameters. This paper aimed to evaluate the DSSAT (v4.6) crop model in Bangladesh for wheat production. Genetic co-efficient of four wheat cultivars (BARI Gom-25, 26, 27 & 28) were determined through DSSAT model. Experimental data on irrigation and nitrogen effect on wheat production was used for model calibration and date of sowing effect for model validation. Model evaluation results showed closer estimation of crop growth duration, grain and biomass yields. Percent error difference in grain yield of wheat varieties (BARI Gom- 25, 26, 27 and 28) between simulated and observed values were 10.98%, 8.70%, 10.79% and 8.94%, respectively. Relationship between simulated and observed grain yields, and simulated and observed crop duration both at calibration and validation process are strong having higher R2 value. The model has been successfully calibrated and validated for wheat growing in Bangladesh environment and can now it can be taken for further applications in natural resources management and climate change impact studies.