The potential doubling of atmospheric CO₂ concentration and associated changes in temperature and precipitation are crucial issues for agricultural productivity. The CROPGRO-Soybean model in decision support system for agro-technology transfer v4.5 to simulate soybean (Glycine max cv. Pioneer 93B15) grown in an elevated CO₂ environment was calibrated and validated. Crop growth and yield data were obtained from a series of experiments conducted in central Illinois at the soybean free air _CO2 enrichment facility from 2002 to 2006. The model was applied to simulate the possible impacts of climate change on soybean yield in the region for the future years of 2080-2100, centred on 2090. The model reproduced the measured soybean growth and yield well under ambient and elevated CO₂ conditions. For the period from 2081 to 2100, soybean yield was projected to decrease due to elevated temperature but to increase due to elevated precipitation and CO₂ concentration, achieving counterbalance. The adverse impacts of the warming conditions on soybean yield can be mitigated by late planting within an optimum planting range (day of year 145 to 152) as a management option, as well as by controlling genetic responses to thermal days in the reproductive stage.