Assessment Aquacrop Model to Predict the Sugarcane Yield and Soil Salinity Profiles under Salinity Stress

In recent years, several models have been presented for water, soil and plant relationships that one of them is AquaCrop model, which in this study were used to predict sugarcane yield and soil salinity profiles under salinity stress in the southern Khuzestan. In order to achieve the required number of input factors, model was calibrated and the amount of soil surface covered by an individual seedling at 90% emergence, maximum canopy cover and harvest index were determined. These coefficients were determined 7.2 (cm2), 90% and 40% respectively. Then the model was performed and simulated and measured values were compared using statistical indicators. The coefficient of determination between measured and simulated yield data was achieved 0.97, the normal root mean square error 8%, Nash-Sutcliffe efficiency 0.83 and coefficient of residual mass -0.09. The results showed that the model has acceptable performance to estimated sugarcane yield and the model in condition of current study was over estimated. Also, coefficient of determination of soil salinity was more than 80% and the model estimated the amount of soil salinity more than measurement.