Abstract:

To solve the problems of difficult quantification of genotype-environment (G×E) interaction and pilot redundancy in Yunnan maize regional trials, this study constructed a collaborative evaluation system based on the data of the regional trial group II of Yunnan maize consortium in 2024, integrating variance analysis and GGE biplot, aiming to optimize the layout of the trial pilot and accurately screen the excellent varieties adapted to the local complex vertical climatic conditions. The results indicated that Xuanwei, Xinping, and Zhanyi should be retained as core fixed sites, while Guangnan and Mengzi should be transformed into specialized testing sites. After removing the redundancy pilots of Zhaotong and Xiangyun, the trial cost was reduced by 30%, while still covering more than 80% of the main maize producing areas in Yunnan. In addition, three cultivars (‘Diwo 20’, ‘Shuijinyu 511’ and ‘Limin 2’) showed outstanding performance in both high yield potential and yield stability, which provided a reliable choice for variety renewal in Yunnan maize industry. Overall, the collaborative evaluation system and pilot optimization scheme proposed in this study can provide scientific support for solving the problems of complicated maize varieties and low approval efficiency, and help promote the high-quality development of Yunnan maize seed industry.

Key words: maize, regional trials, trial-site representativeness, variety adaptability, GGE biplot