Genetic variation and marker−trait association affect the genomic selection prediction accuracy of soybean protein and oil content

INTRODUCTION: Genomic selection (GS) is a potential breeding approach for soybean improvement. METHODS: In this study, GS was performed on soybean protein and oil content using the Ridge Regression Best Linear Unbiased Predictor (RR-BLUP) based on 1,007 soybean accessions. The SoySNP50K SNP dataset...

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Detalles Bibliográficos
Autores principales: Sun, Bo, Guo, Rui, Liu, Zhi, Shi, Xiaolei, Yang, Qing, Shi, Jiayao, Zhang, Mengchen, Yang, Chunyan, Zhao, Shugang, Zhang, Jie, He, Jianhan, Zhang, Jiaoping, Su, Jianhui, Song, Qijian, Yan, Long
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9793221/
https://www.ncbi.nlm.nih.gov/pubmed/36582644
http://dx.doi.org/10.3389/fpls.2022.1064623

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9793221/
https://www.ncbi.nlm.nih.gov/pubmed/36582644
http://dx.doi.org/10.3389/fpls.2022.1064623

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