Genotype by Environment Interaction Analysis for Grain Yield and Yield Components of Summer Maize Hybrids across the Huanghuaihai Region in China

Increasing the maize production capacity to ensure food security is still primary goal of global planting. The purpose this study was evaluate genotypes with high yield and stability in summer hybrids grown Huanghuaihai region China using additive main effects multiplicative interaction (AMMI) analysis best linear unbiased prediction (BLUP) technique. A total 18 one check hybrid were used for a randomized complete block design (RCBD) three replicates at 74 locations during two consecutive years (2018–2019). three-way variance (ANOVA) an AMMI showed that genotype (G), environment (E), year (Y) their interactions highly significant (p < 0.001) except G × E Y all evaluated traits viz., grain (GY), ear length (EL), hundred seed weight (HSW) weight. first seven principal components (IPCs) explained 81.74% by (GEI). By comparing different models, considered model data study. combination BLUP technology use WAASB (weighted average absolute scores from singular value decomposition matrix GEI generated mixed model) index promising similar research future. Genotypes H321 Y23 had good stability, could be as new potential genetic resources improving stabilizing breeding practices China. H9, H168, Q218, Y303 L5 narrow adaptability only apply specific areas. Z958 most environments due its but it also needs increase yield. Significant positive correlations found between tested agronomic traits.