Genomic prediction of agronomic traits in wheat using different models and cross-validation designs.

Haile, Teketel A; Walkowiak, Sean; N'Diaye, Amidou; Clarke, John M; Hucl, Pierre J; Cuthbert, Richard D; Knox, Ron E; Pozniak, Curtis J

Haile, Teketel A; Walkowiak, Sean; N'Diaye, Amidou; Clarke, John M; Hucl, Pierre J; Cuthbert, Richard D; Knox, Ron E; Pozniak, Curtis J.

Affiliation

Haile TA; Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK, Canada.
Walkowiak S; Canadian Grain Commission, Grain Research Laboratory, Winnipeg, MB, Canada.
N'Diaye A; Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK, Canada.
Clarke JM; Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK, Canada.
Hucl PJ; Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK, Canada.
Cuthbert RD; Semiarid Prairie Agricultural Research Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada.
Knox RE; Semiarid Prairie Agricultural Research Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada.
Pozniak CJ; Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK, Canada. curtis.pozniak@usask.ca.

Theor Appl Genet ; 134(1): 381-398, 2021 Jan.

Article de En | MEDLINE | ID: mdl-33135095

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Triticum / Génomique / Locus de caractère quantitatif / Modèles génétiques Type d'étude: Prognostic_studies / Risk_factors_studies Langue: En Journal: Theor Appl Genet Année: 2021 Type de document: Article Pays d'affiliation: Canada Pays de publication: Allemagne

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