Yong Xiang, Chao Xia, Lujiang Li, Rujun Wei, Tingzhao Rong, Hailan Liu and Hai Lan
DOI:10.3389/fpls.2024.1441555
Abstract
When genomic prediction is implemented in breeding maize (Zea maysL.), it can accelerate the breeding process and reduce cost to a large extent. In this study, 11yield-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.
Keywords
genomic prediction, maize, yield-related traits, heterotic pattern of yield, Southwest China