Genomic Prediction Using Low Density Marker Panels in Aquaculture: Performance Across Species, Traits, and Genotyping Platforms.

Kriaridou, Christina; Tsairidou, Smaragda; Houston, Ross D; Robledo, Diego

Kriaridou, Christina; Tsairidou, Smaragda; Houston, Ross D; Robledo, Diego.

Afiliación

Kriaridou C; The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, United Kingdom.
Tsairidou S; The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, United Kingdom.
Houston RD; The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, United Kingdom.
Robledo D; The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, United Kingdom.

Front Genet ; 11: 124, 2020.

Article en En | MEDLINE | ID: mdl-32174974

Palabras clave

breeding; disease resistance; fish; genomic best linear unbiased prediction (GBLUP); growth; oyster; salmon

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Genet Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Suiza

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