AMMI an GGE biplot analysis of grain yield for drought-tolerant maize hybrid selection in Inner Mongolia

被引:6
|
作者
Li, Yipu [1 ,2 ]
Bao, Haizhu [1 ,2 ]
Xu, Zhenghan [1 ,2 ]
Hu, Shuping [2 ,3 ]
Sun, Jiying [1 ,2 ]
Wang, Zhigang [1 ,2 ]
Yu, Xiaofang [1 ,2 ]
Gao, Julin [1 ,2 ]
机构
[1] Inner Mongolia Agr Univ, Agr Coll, Hohhot, Inner Mongolia, Peoples R China
[2] Reg Res Ctr Conservat & Utilizat Crop Germplasm Re, Hohhot, Inner Mongolia, Peoples R China
[3] Inner Mongolia Agr Univ, Vocat & Tech Coll, Baotou, Inner Mongolia, Peoples R China
关键词
X ENVIRONMENT INTERACTION; STABILITY; COMPONENTS; GENOTYPES;
D O I
10.1038/s41598-023-46167-z
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Due to the ongoing global warming, maize production worldwide is expected to be heavily inflicted by droughts. The grain yield of maize hybrids is an important factor in evaluating their suitability and stability. In this study, we utilized the AMMI model and GGE biplot to analyze grain yield of 20 hybrids from the three tested environments in Inner Mongolia in 2018 and 2019, aiming at selecting drought-tolerant maize hybrids. AMMI variance analysis revealed highly significant difference on main effects for genotype, environment, and their interaction. Furthermore, G11 (DK159) and G15 (JKY3308) exhibited favorable productivity and stability across all three test environments. Moreover, G10 (LH1) emerged as the most stable hybrid according to the AMMI analysis and the GGE biplot. Bayannur demonstrated the highest identification ability among the three tested sites. Our study provides accurate identification for drought-resilient maize hybrids in different rain-fed regions. These findings can contribute to the selection of appropriate hybrids that exhibit productivity, stability, and adaptability in drought-prone conditions.
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页数:10
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