Abstract: Clarifying the applicability of DSSAT model to the growth and yield simulation of main crops in Northeast China is of great significance to further promote its application in Northeast China and ensure food security. An experiment was conducted based on four kinds of main crops in Lishu County, Jilin Province, including spring wheat, soybean, millet, and potato. The applicability of DSSAT model was evaluated systematically with three years data from field experiment. The results showed that the determination coefficients of simulated and measured values of growth period, leaf area index (LAI), aboveground biomass, stem biomass, leaf biomass, and yield of spring wheat, soybean, millet and potato in DSSAT model were 0.94-0.99, 0.92-0.99,  0.96-0.99, and 0.97-0.98, respectively. The normalized root mean square errors were 12.21%-26.01%, 1.67%-33.24%, 1%-15.34%,  and 3.2%-28.08%, respectively. D values were above 0.994. The fitting degree of growth period and yield for spring wheat was the highest, followed by LAI. The fitting degree of yield and LAI for soybean and millet was the highest, followed by growth period. The fitting degree of growth period and yield for potato was the highest, followed by LAI. The growth dynamic simulation of LAI, leaf biomass, stem biomass, and total aboveground biomass showed that the determination coefficients for spring wheat, soybean, millet and potato were more than 0.84, and the normalized root mean square errors were 24.5%-38.2%, 28.7%-47.4%, 9.2%-26.3%, and 28.7%-45.1%, respectively. The fitting degree of stem biomass for spring wheat was the highest, and that of LAI was the lowest. The fitting degree of LAI for soybean and potato was the highest, and that of leaf biomass was the lowest. The fitting effect of millet leaf biomass was the highest and that of stem biomass was the lowest. In general, the validated DSSAT model can better simulate the growth period, LAI, aboveground biomass and yield of the four kinds of crops. In the future, it can be used as an important tool in the related research about the growth simulation of major crops in Jilin Province.

Key words: main crop, DSSAT, simulation verification, applicability evaluation.