Improving Quantitative Traits in Self-Pollinated Crops Using Simulation-Based Selection With Minimal Crossing.

Sekine, Daisuke; Tsuda, Mai; Yabe, Shiori; Shimizu, Takehiko; Machita, Kayo; Saruta, Masayasu; Yamada, Tetsuya; Ishimoto, Masao; Iwata, Hiroyoshi; Kaga, Akito

Sekine, Daisuke; Tsuda, Mai; Yabe, Shiori; Shimizu, Takehiko; Machita, Kayo; Saruta, Masayasu; Yamada, Tetsuya; Ishimoto, Masao; Iwata, Hiroyoshi; Kaga, Akito.

Afiliação

Sekine D; Institute of Vegetable and Floriculture Science, National Agriculture and Food Research Organization, Tsu, Japan.
Tsuda M; Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Japan.
Yabe S; Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Japan.
Shimizu T; Tsukuba Plant Innovation Research Center, University of Tsukuba, Tsukuba, Japan.
Machita K; Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Japan.
Saruta M; Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Japan.
Yamada T; Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Japan.
Ishimoto M; Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Japan.
Iwata H; Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Japan.
Kaga A; Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Japan.

Front Plant Sci ; 12: 729645, 2021.

Article em En | MEDLINE | ID: mdl-34539720

Palavras-chave

genomic prediction; genomic selection; marker-assisted recurrent selection; quantitative trait; seed protein content; segregation simulation; soybean

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Plant Sci Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Japão País de publicação: Suíça

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