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

作者: 审稿人: 时间: 2024-09-24 点击次数:


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


 

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