Abstract: "Fuyou 17" of one-season rice main varieties in the Jianghuai regions was used as the experimental material, and staged sowing experiments was used, and nutritional quality indicators of rice lysine, protein, amylose and fat content were systematically measured, a simulation model of rice nutrition quality based on light and temperature function was established and tested with independent experimental data. The results showed that: (1)the nutritional quality content of rice was closely related to the temperature and light conditions during the entire growth and development of rice, and the contents of lysine, protein, amylose and fat in rice were positively correlated with the cumulative light and temperature function value. (2)Cumulative light and temperature function value during grain filling period affected grain filling process and grain weight accumulation in rice, higher the cumulative light and temperature function value after flowering, the faster the grain filling process and the shorter the duration of grain weight accumulation. (3)In the process of simulating the contents of lysine, protein, amylose and fat in rice, the light and temperature function model significantly improved the prediction accuracy of rice nutritional quality compared with the traditional thermal effectiveness and photosynthesis active radiation method and growing degree days method. The results of this study can provide important reference for the evaluation of rice climate quality and the adjustment of rice optimal sowing date in Jianghuai regions.

Key words: One-season rice, Jianghuai regions, Light and temperature function, Nutritional quality, Growing degree days