Marker Selection in Multivariate Genomic Prediction Improves Accuracy of Low Heritability Traits.

Klápste, Jaroslav; Dungey, Heidi S; Telfer, Emily J; Suontama, Mari; Graham, Natalie J; Li, Yongjun; McKinley, Russell

Klápste, Jaroslav; Dungey, Heidi S; Telfer, Emily J; Suontama, Mari; Graham, Natalie J; Li, Yongjun; McKinley, Russell.

Affiliation

Klápste J; Scion (New Zealand Forest Research Institute Ltd.), Rotorua, New Zealand.
Dungey HS; Scion (New Zealand Forest Research Institute Ltd.), Rotorua, New Zealand.
Telfer EJ; Scion (New Zealand Forest Research Institute Ltd.), Rotorua, New Zealand.
Suontama M; Scion (New Zealand Forest Research Institute Ltd.), Rotorua, New Zealand.
Graham NJ; Skogforsk, Umeå, Sweden.
Li Y; Scion (New Zealand Forest Research Institute Ltd.), Rotorua, New Zealand.
McKinley R; Scion (New Zealand Forest Research Institute Ltd.), Rotorua, New Zealand.

Front Genet ; 11: 499094, 2020.

Article de En | MEDLINE | ID: mdl-33193595

Mots clés

Eucalyptus nitens; PLS; Pinus radiata; genomic prediction; multivariate mixed model; variable selection

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies / Risk_factors_studies Langue: En Journal: Front Genet Année: 2020 Type de document: Article Pays d'affiliation: Nouvelle-Zélande Pays de publication: Suisse

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