Adaptation of the DSSAT model under different farming practices in the Loess hilly region

Based on test data from a spring wheat field and daily meteorological data for 2016 to 2017 from the Loess hilly region, model parameters were calibrated using the glue parameter estimation module and the "trial and error method," and the root mean square error method was used to test the DSSAT model to evaluate its adaptation under different farming practices. The results showed that the error between the estimated yield simulation and measured yield was in the range of 8.89%～10.98%, and the error for soil moisture content in each layer of the soil profile was 10.39%～14.91%. The error between the simulated and measured values for the main growth period in days was less than 9.09%. Therefore, the DSSAT model may be used to simulate crop yield, growth period in days, and soil water dynamics under different tillage practices, and the model could be used to guide crop production and optimal management of tillage measures in this area.