Genomic selection models substantially improve the accuracy of genetic merit predictions for fillet yield and body weight in rainbow trout using a multi-trait model and multi-generation progeny testing.

Garcia, Andre; Tsuruta, Shogo; Gao, Guangtu; Palti, Yniv; Lourenco, Daniela; Leeds, Tim

Garcia, Andre; Tsuruta, Shogo; Gao, Guangtu; Palti, Yniv; Lourenco, Daniela; Leeds, Tim.

Afiliación

Garcia A; Department of Animal and Dairy Science, University of Georgia, Athens, GA, 30602, USA.
Tsuruta S; Department of Animal and Dairy Science, University of Georgia, Athens, GA, 30602, USA. shogo@uga.edu.
Gao G; National Center for Cool and Cold Water Aquaculture, Agricultural Research Service, United States Department of Agriculture, Kearneysville, WV, 25430, USA.
Palti Y; National Center for Cool and Cold Water Aquaculture, Agricultural Research Service, United States Department of Agriculture, Kearneysville, WV, 25430, USA.
Lourenco D; Department of Animal and Dairy Science, University of Georgia, Athens, GA, 30602, USA.
Leeds T; National Center for Cool and Cold Water Aquaculture, Agricultural Research Service, United States Department of Agriculture, Kearneysville, WV, 25430, USA.

Genet Sel Evol ; 55(1): 11, 2023 Feb 09.

Article en En | MEDLINE | ID: mdl-36759760

Asunto(s)

Oncorhynchus mykiss; Animales; Oncorhynchus mykiss/genética; Estudio de Asociación del Genoma Completo; Fenotipo; Genómica; Genotipo; Sitios de Carácter Cuantitativo; Peso Corporal/genética; Modelos Genéticos; Polimorfismo de Nucleótido Simple

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Oncorhynchus mykiss Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Genet Sel Evol Asunto de la revista: BIOLOGIA / GENETICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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