As to achieve the application of World Food Studies (WOFOST) model in meteorological service, the growth evaluation index for winter wheat was constructed by usage of fuzzy mathematics method based on the development stage, leaf area index and total aboveground production simulated from WOFOST model, and yield prediction model was proposed by year-to-year comparative method based on total above ground production and dry weight of living organs. The growth evaluation index and yield prediction model were tested in 2015-2020 and further used to assess winter wheat growth and yield at national and regional scales in 2021. It was clear that the results of dynamic growth evaluation for winter wheat based on WOFOST model in 2015-2020 were in line with the influence of meteorological conditions within winter wheat growing season and trend in yield. The average accuracy of yield predictionin China and major producing areas was 90.2%-98.5%. In the perspective of yield prediction, the average accuracy based on WOFOST model was higher than that derived from statistical mode in Jianghuai and Jianghan while the accuracy based on WOFOST model was 1.0-2.2 percentage points lower than that derived from statistical model in China, North China and Huanghuai. Based on WOFOST model,the growth evaluation index for winter wheat in China and all major production areas was low in the early stage and high in the late stage in 2021 during which it significantly increased from February to March, keeping with the change of meteorological conditions.Using the yield prediction model constructed on simulated total aboveground production and dry weight of living organs, the national average accuracy in 2021 was 98.7% and 99.0%, and the average accuracy in main production areas was 92.3%-99.4% and 89.3%-99.7%, respectively. The performance of yield prediction based on WOFOST model was slightly better than that derived from statistical model in China, North China and Huanghuai, while it was close to or worse than that derived from statistical model in other main producing areas.