Abstract: To study the impact of environments on maize varieties and the adaptability of maize varieties in multiple environments， a model based on principal component analysis method was constructed and used to research eight varieties in five sites with nine traits （growth period， plant height， ear height， ear length， ear row number， bare tip length， hundred\|grain weight， grain weight per ear and yield）. According to the model， five principal component factors were extracted and the score matrices of the corresponding principal component factors were obtained. The result showed that Weifeng 2 was the best according to the comprehensive performance in all environments. Additionally， Bishi 1201 had a better performance in Panxian， Bidan 17 had a better performance in Weining， and Weifeng 2， W 4503， Shengyu 2， Luodan 601， Jinfayu 201205 and Heyu 1201 all grew well in Dafang. The different effects of eight varieties in five sites could be displayed by the corresponding principal component factors and comprehensive factor scores， the results were in good agreement with the traditional method. This model defined the comprehensive effect and adaptability of maize varieties in different environments， and provided a new way for the comprehensive evaluation of maize in multiple environment test.

Key words: maize, model, multiple environments, principal components analysis