The future of phenomics in dairy cattle breeding.

Cole, John B; Eaglen, Sophie A E; Maltecca, Christian; Mulder, Han A; Pryce, Jennie E

Cole, John B; Eaglen, Sophie A E; Maltecca, Christian; Mulder, Han A; Pryce, Jennie E.

Afiliación

Cole JB; Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, United States Department of Agriculture, Beltsville, MD.
Eaglen SAE; National Association of Animal Breeders, Madison, WI.
Maltecca C; Department of Animal Science, North Carolina State University, Raleigh, NC.
Mulder HA; Department of Animal Sciences, Wageningen University and Research Animal Breeding and Genomics, Wageningen, The Netherlands.
Pryce JE; Agriculture Victoria Research, AgriBio, Centre for AgriBioscience, Bundoora, Victoria, Australia.

Anim Front ; 10(2): 37-44, 2020 Apr.

Article en En | MEDLINE | ID: mdl-32257602

Palabras clave

analytics; big data; dairy cattle; machine learning; phenomics; sensors

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Anim Front Año: 2020 Tipo del documento: Article País de afiliación: Moldova Pais de publicación: Reino Unido

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