Due to the scarcity of water resources in Iran, optimal utilization of available water and soil resources is essential for agricultural production in Iran. Field studies to evaluate the impact of different management strategies on crop production are a costly and time consuming method. Therefore, plant models are used to simulate crop growth under different management conditions. The purpose of this study was to evaluate the CERES-Wheat model for predicting wheat yield of Pishtaz cultivar. In the clay loam soil was east of Isfahan. Experimental treatments included two planting dates (November (PD1) and February (PD2)) and two traditional (T) and supplemental (W) irrigation regimes. Vegetation indices were measured in four stages. Model calibration results showed that biomass and stem yield were simulated during growth with regression coefficient of 99 and 86%. The model also had an acceptable performance in simulating leaf area index and leaf weight during the growth period. For PD2 planting date, the simulated biomass and leaf yield model with r2 were 86% and 64%, respectively. In November cultivar PD1 model had good ability to simulate grain yield. The model predicted flowering time and wheat maturity in both planting dates. The planting is in the period from 30 October to 10 November. The highest grain yield was obtained on 30 October. By applying the best sowing date and irrigation according to the water requirement of the plant, maximum grain yield of 11579 kg / ha was obtained. The amount of yield at planting conditions on 10 October was 10223 kg / ha, taking into account the time the water was allocated to the farmer. Current performance can be achieved by applying proper irrigation management and water supply based on plant needs by reducing the applied water by 284 mm. Key words: Surface irrigation, DSSAT model, Irrigation management, Salinity, Optimum planting Date