Evaluation of low-density SNP panels and imputation for cost-effective genomic selection in four aquaculture species.

Kriaridou, Christina; Tsairidou, Smaragda; Fraslin, Clémence; Gorjanc, Gregor; Looseley, Mark E; Johnston, Ian A; Houston, Ross D; Robledo, Diego

Kriaridou, Christina; Tsairidou, Smaragda; Fraslin, Clémence; Gorjanc, Gregor; Looseley, Mark E; Johnston, Ian A; Houston, Ross D; Robledo, Diego.

Afiliación

Kriaridou C; The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, United Kingdom.
Tsairidou S; Global Academy of Agriculture and Food Systems, University of Edinburgh, Edinburgh, United Kingdom.
Fraslin C; The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, United Kingdom.
Gorjanc G; The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, United Kingdom.
Looseley ME; Xelect Ltd., St Andrews, Scotland, United Kingdom.
Johnston IA; Xelect Ltd., St Andrews, Scotland, United Kingdom.
Houston RD; The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, United Kingdom.
Robledo D; Benchmark Genetics, Penicuik, United Kingdom.

Front Genet ; 14: 1194266, 2023.

Article en En | MEDLINE | ID: mdl-37252666

Palabras clave

aquaculture; bivalve; fish; genomic prediction; imputation; selective breeding

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Health_economic_evaluation Idioma: En Revista: Front Genet Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Suiza

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