Harnessing Genetic Diversity in the USDA Pea Germplasm Collection Through Genomic Prediction.

Bari, Md Abdullah Al; Zheng, Ping; Viera, Indalecio; Worral, Hannah; Szwiec, Stephen; Ma, Yu; Main, Dorrie; Coyne, Clarice J; McGee, Rebecca J; Bandillo, Nonoy

Bari, Md Abdullah Al; Zheng, Ping; Viera, Indalecio; Worral, Hannah; Szwiec, Stephen; Ma, Yu; Main, Dorrie; Coyne, Clarice J; McGee, Rebecca J; Bandillo, Nonoy.

Afiliação

Bari MAA; Department of Plant Sciences, North Dakota State University, Fargo, ND, United States.
Zheng P; Department of Horticulture, Washington State University, Pullman, WA, United States.
Viera I; Department of Plant Sciences, North Dakota State University, Fargo, ND, United States.
Worral H; NDSU North Central Research Extension Center, Minot, ND, United States.
Szwiec S; NDSU North Central Research Extension Center, Minot, ND, United States.
Ma Y; Department of Horticulture, Washington State University, Pullman, WA, United States.
Main D; Department of Horticulture, Washington State University, Pullman, WA, United States.
Coyne CJ; USDA-ARS Plant Germplasm Introduction and Testing, Washington State University, Pullman, WA, United States.
McGee RJ; USDA-ARS Grain Legume Genetics and Physiology Research, Pullman, WA, United States.
Bandillo N; Department of Plant Sciences, North Dakota State University, Fargo, ND, United States.

Front Genet ; 12: 707754, 2021.

Article em En | MEDLINE | ID: mdl-35003202

Palavras-chave

genomic prediction; genomic selection; germplasm accessions; next-generation sequencing; pea (Pisum sativum L); reliability criteria

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Genet Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

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