Multi-Trait Genomic Prediction Improves Accuracy of Selection among Doubled Haploid Lines in Maize.

Hu, Haixiao; Meng, Yujie; Liu, Wenxin; Chen, Shaojiang; Runcie, Daniel E

Hu, Haixiao; Meng, Yujie; Liu, Wenxin; Chen, Shaojiang; Runcie, Daniel E.

Afiliação

Hu H; Department of Plant Sciences, University of California, Davis, CA 95616, USA.
Meng Y; National Maize Improvement Center of China, College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China.
Liu W; Department of Plant Biology, University of California, Davis, CA 95616, USA.
Chen S; National Maize Improvement Center of China, College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China.
Runcie DE; National Maize Improvement Center of China, College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China.

Int J Mol Sci ; 23(23)2022 Nov 22.

Article em En | MEDLINE | ID: mdl-36498886

Assuntos

Melhoramento Vegetal; Zea mays; Zea mays/genética; Haploidia; Fenótipo; Genótipo

Palavras-chave

DH-line-based hybrid breeding; doubled haploid line; genetic correlation; genomic prediction; haploid line; multi-trait model

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Zea mays / Melhoramento Vegetal Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Int J Mol Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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