Estimation of Wheat Yield with DSSAT Crop Simulation Model

In this study, the integration of wheat into the crop simulation model (CSM) was examined in order to determine the climatic changes that may occur in Mersin region conditions in the future between 2018-2019. In this sense, the possible usage of Ceres sub-model of DSSAT crop simulation model in wheat was determined. Plant height (cm), leaf area index (cm2 cm-2), biomass (kg ha-1) and yield (kg ha-1) values obtained in the field and estimated by the DSSAT model were compared and t test was applied at 5% significance level. In both years of the study, the parameters measured in the field and predicted by the model were not found to be statistically significant (P > 0.05), while the leaf area index values were significant. The DSSAT-Ceres crop simulation model estimated yield value of 584-397 kg ha-1 in 2018 and 2019, respectively, while field measurements were obtained as 622-380 kg ha-1. It was concluded that the DSSAT-CSM can predict wheat with the plant genetic coefficients obtained as a result of calibration.