Genetic Dissection of Epistatic Interactions Contributing Yield-Related Agronomic Traits in Rice Using the Compressed Mixed Model.

Li, Ling; Wu, Xinyi; Chen, Juncong; Wang, Shengmeng; Wan, Yuxuan; Ji, Hanbing; Wen, Yangjun; Zhang, Jin

Li, Ling; Wu, Xinyi; Chen, Juncong; Wang, Shengmeng; Wan, Yuxuan; Ji, Hanbing; Wen, Yangjun; Zhang, Jin.

Afiliação

Li L; College of Science, Nanjing Agricultural University, Nanjing 210095, China.
Wu X; College of Science, Nanjing Agricultural University, Nanjing 210095, China.
Chen J; College of Finance, Nanjing Agricultural University, Nanjing 210095, China.
Wang S; College of Science, Nanjing Agricultural University, Nanjing 210095, China.
Wan Y; School of Business Administration, Jiangxi University of Finance and Economics, Nanchang 330013, China.
Ji H; College of Science, Nanjing Agricultural University, Nanjing 210095, China.
Wen Y; College of Science, Nanjing Agricultural University, Nanjing 210095, China.
Zhang J; Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China.

Plants (Basel) ; 11(19)2022 Sep 26.

Article em En | MEDLINE | ID: mdl-36235370

Palavras-chave

GWAS; QTN-by-QTL interaction; epistatics; rice; yield-related traits

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Plants (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

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