title: Genomic Prediction of Genotypic Effects with Epistasis and Environment Interactions for Yield-Related Traits of Rapeseed (Brassica napusL.).
abstract: Oilseed rape (Brassica napus) is an economically important oil crop, yet the genetic architecture of its complex traits remain largely unknown. Here, genome-wide association study was conducted for eight yield-related traits to dissect the genetic architecture of additive, dominance, epistasis, and their environment interaction. Additionally, the optimal genotype combination and the breeding value of superior line, superior hybrid and existing best line in mapping population were predicted for each trait in two environments based on the predicted genotypic effects. As a result, 17 quantitative trait SNPs (QTSs) were identified significantly for target traits with total heritability varied from 58.47 to 87.98%, most of which were contributed by dominance, epistasis, and environment-specific effects. The results indicated that non-additive effects were large contributions to heritability and epistasis, and also noted that environment interactions were important variants for oilseed breeding. Our study facilitates the understanding of genetic basis of rapeseed yield trait, helps to accelerate rapeseed breading, and also offers a roadmap for precision plant breeding via marker-assisted selection.
authors.affiliation: National Key Laboratory of Crop Genetic Improvement, National Center of Rapeseed Improvement in Wuhan, Huazhong Agricultural University Wuhan, China.
authors.forename: Xiang
authors.initials: X
authors.lastname: Luo
authors.affiliation: Institute of Bioinformatics, Zhejiang University Hangzhou, China.
authors.forename: Yi
authors.initials: Y
authors.lastname: Ding
authors.affiliation: Economic and Technical College, Anhui Agricultural University Hefei, China.
authors.forename: Linzhong
authors.initials: L
authors.lastname: Zhang
authors.affiliation: National Key Laboratory of Crop Genetic Improvement, National Center of Rapeseed Improvement in Wuhan, Huazhong Agricultural University Wuhan, China.
authors.forename: Yao
authors.initials: Y
authors.lastname: Yue
authors.affiliation: Institute of Bioinformatics, Zhejiang University Hangzhou, China.
authors.forename: John H
authors.initials: JH
authors.lastname: Snyder
authors.affiliation: National Key Laboratory of Crop Genetic Improvement, National Center of Rapeseed Improvement in Wuhan, Huazhong Agricultural University Wuhan, China.
authors.forename: Chaozhi
authors.initials: C
authors.lastname: Ma
authors.affiliation: Institute of Bioinformatics, Zhejiang University Hangzhou, China.
authors.forename: Jun
authors.initials: J
authors.lastname: Zhu
keywords: B. napus; agronomic traits; epistasis; genomic prediction; genotypic effects