Field experimental data of spring wheat and daily meteorological data at six typical stations in Inner Mongolia were used to calibrate and validate APSIM-wheat model and determine the genetic parameters for 10 varieties of spring wheat. The results showed that the simulated spring wheat growth durations from sowing to emergence, flowering,and maturity were agree well with observation. Root mean squared errors (RMSEs) between simulated and observed emergence,flowering,and maturity were 0 ~ 1.7d,0.8 ~ 4.1d and 1.0 ~ 2.8d, respectively. Normalized root mean squared errors(NRMSEs) between simulated and observed above-ground biomass for 10 varieties were 12% ~ 24%. NRMSE between simulated and observed yields for 10 varieties were 2% ~ 26%. These results indicate that APSIM-wheat model is capable of simulating the growing periods,above-ground biomass and yield of spring wheat in Inner Mongolia. This research supports the model application in arid and semi-arid regions such as Inner Mongolia,such as examining the effect of climate change on crop production and crop adaptation to climate change.