Genomic prediction of yield-related traits and genome-based establishment of heterotic pattern in maize hybrid breeding of Southwest China

作者：Yong Xiang, Chao Xia, Lujiang Li, Rujun Wei, Tingzhao Rong, Hailan Liu, Hai Lan · 发表于：Frontiers in Plant Science · 年份：2024 · DOI：10.3389/fpls.2024.1441555 · 被引用次数：15 · 研究领域：Genetic Mapping and Diversity in Plants and Animals、Genetic and phenotypic traits in livestock、Genetics and Plant Breeding

L.), it can accelerate the breeding process and reduce cost to a large extent. In this study, 11 yield-related traits of maize were used to evaluate four genomic prediction methods including rrBLUP, HEBLP|A, RF, and LightGBM. In all the 11 traits, rrBLUP had similar predictive accuracy to HEBLP|A, and so did RF to LightGBM, but rrBLUP and HEBLP|A outperformed RF and LightGBM in 8 traits. Furthermore, genomic prediction-based heterotic pattern of yield was established based on 64620 crosses of maize in Southwest China, and the result showed that one of the parent lines of the top 5% crosses came from temp-tropic or tropic germplasm, which is highly consistent with the actual situation in breeding, and that heterotic pattern (Reid+ × Suwan+) will be a major heterotic pattern of Southwest China in the future.