A Method for Identifying Environmental Stimuli and Genes Responsible for Genotype-by-Environment Interactions From a Large-Scale Multi-Environment Data Set.

Onogi, Akio; Sekine, Daisuke; Kaga, Akito; Nakano, Satoshi; Yamada, Tetsuya; Yu, Jianming; Ninomiya, Seishi

Onogi, Akio; Sekine, Daisuke; Kaga, Akito; Nakano, Satoshi; Yamada, Tetsuya; Yu, Jianming; Ninomiya, Seishi.

Afiliação

Onogi A; Department of Plant Life Science, Faculty of Agriculture, Ryukoku University, Otsu, Japan.
Sekine D; Institute of Vegetable and Floriculture Science, National Agriculture and Food Research Organization, Tsukuba, Japan.
Kaga A; Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Japan.
Nakano S; Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Japan.
Yamada T; Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization, Tsukuba, Japan.
Yu J; Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Japan.
Ninomiya S; Department of Agronomy, Iowa State University, Ames, IA, United States.

Front Genet ; 12: 803636, 2021.

Article em En | MEDLINE | ID: mdl-35027920

Palavras-chave

environmental covariate; genetic correlation; genome-wide association; genotype-by-environment interactions; historical data; multi-environmental trial

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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article