In order to explore the management strategy of irrigation and seeding time of dryland wheat under the background of future climate change, the Agricultural Production Systems SlMulator (APSIM) was used to analyze the statistical yearbook data of spring wheat in dryland in Longzhong from 2014 to 2022. Coupled Model Intercomparison Project 5 (CMIP5) model for future climate change scenarios (RCP4.5 and RCP8.5) data, Different irrigation amounts (0, 60, 120, 180, 240 and 360 mm) and sowing dates (March 1, March 11, March 19, March 31) were set to simulate and analyze the difference of yield and biomass of spring wheat in dryland under different irrigation amounts and sowing dates. The results showed that the model could accurately simulate the yield and biomass of spring wheat in the study area after parameter calibration and verification. Under the future climate change scenario, the yield and biomass of spring wheat increased first and then decreased with the increase of irrigation amount, and the yield and biomass were the highest under the irrigation of 120 mm. The yield and biomass of spring wheat were the highest under the sowing date of March 1, and the lowest under the sowing date of March 31. Under the interaction of irrigation amount and sowing date, the yield and biomass of spring wheat treated with the irrigation water of 120 mm and the sowing date of March 1 were the highest overall. In conclusion, the yield and biomass of spring wheat in dryland can be effectively increased by increasing irrigation and sowing in advance under the future climate change scenario.