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.
