EVALUATION OF THE ADAPTABILITY AND STABILITY OF MAIZE CULTIVARS THROUGH GGE BIPLOT ANALYSIS
文献类型： 外文期刊
作者： Yue, Haiwang 1 ; Bu, Junzhou 1 ; Wei, Jianwei 1 ; Zhang, Yulan 1 ; Chen, Shuping 1 ; Peng, Haicheng 1 ; Xie, Junliang; 1 ;
作者机构： 1.Hebei Acad Agr & Forestry Sci, Dryland Farming Inst, Hengshui 053000, Peoples R China
2.Hebei Prov Key Lab Crops Drought Resistance Res, Hengshui 053000, Peoples R China
3.Qingdao Agr Univ, Coll Agron, Qingdao 266109, Shandong, Peoples R China
关键词： GGE-biplot; maize; multi-environment trials; stability
期刊名称：FRESENIUS ENVIRONMENTAL BULLETIN （ 影响因子：0.489； 五年影响因子：0.479 ）
ISSN： 1018-4619
年卷期： 2019 年 28 卷 9 期
页码：
收录情况： SCI
摘要： This study evaluated the yield performance of 27 maize (Zea mays L.) genotypes from 2016 to 2017 in 80 trial environments in Huang-huai-hai summer maize growing area of China during summer by using a randomized complete block design (RCBD) with three replications. Grain-yield data obtained from the regional trials of the Kechuang Union were analyzed with a genotype-and-genotype-by-environment (GGE) biplot. Analysis of variance (ANOVA) of grain-yield data showed that the effects of environment, genotype, and genotype-by-environment interaction were significant, accounting for 45.27%, 9.18%, and 27.39% of the sum of treatment combinations in 2016, as well as 53.97%, 9.43%, and 19.81% of that in 2017, respectively. Results showed that the best performance and candidate genotypes for the 2016-2017 multi-environment trials were D56, J118, and H321, as well as S617, D205 and D56, respectively. Among the 80 test sites, the environments TA and XJ in 2016 and the environment JX in 2017 were included in the ideal environment due to their excellent discrimination and representativeness.
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