YUE Haiwang, LI Chunjie, LI Yuan, BU Junzhou, WEI Jianwei, PENG Haicheng, CHEN Shuping, XIE Junliang
In order to comprehensively evaluate the stability and adaptability of spring sowing maize varieties and the representativeness and discrimination of each testing sites in Hebei province,GGE-biplot and AMMI model were used to analyze the variety yield from the regional trials for maize from 2011 to 2012. Fourteen maize varieties were tested in 10 testing sites in northern Hebei Province, and 13 maize varieties were tested in 9 sites in western Hebei Province. The results showed that the varieties of Zhongdi175,XBS688,and Kunpeng7074 had a higher yield than other varieties,and Tang08-72 was the worst. Nongda108,Lishi2975,Nongdan906,and Zhongdi175 had better yield stability than other varieties, while Tango8-72 had the lowest yield. In addition, Yufeng, Zhangjiakou,Kuancheng,and Laiyuan were more representative than other testing sites. Fengrun and Funing had weaker discrimination,while Yuxian,Yufeng,and Guan had stronger discrimination than other testing sites in Northern spring sowing regional trials of Hebei Province in 2011.In Western spring sowing regional trials of Hebei Province in 2012, Keshi787 and Zhongdi175 had a higher yield than other varieties,Nongda108,Su1754,Keshi787,and Zhongdi175 had better yield stability than the other varieties, with the poor yield and stability of Fuyu201.Shexian,Pingshan,Jiangjunmu of Xingtai County were more representative than other testing sites,of which Xingtang and Shexian had stronger discrimination than the other testing sites.The 2-years test results showed that Zhongdi175 had the best performance with high yield and stability, the control variety Nongda108 belongs to the high stability with average yield, Tang 08-72 and Fuyu201 belong to lower yield and weaker stability,Yufeng and Shexian had better representative and stronger discrimination than other testing sites. Little difference between GGE-biplot and AMMI model were found in the stability analysis of maize varieties and discrimination of testing sites.The two methods can be used as the ideal tools for analysis in regional test.The results provide a theoretical basis on rational distribution of maize varieties.