Improving genomic prediction accuracy for meat tenderness in Nellore cattle using artificial neural networks-Reference-Cited by-同舟云学术

Improving genomic prediction accuracy for meat tenderness in Nellore cattle using artificial neural networks

Published:2020-02-05 Issue:5 Volume:137 Page:438-448
ISSN:0931-2668
Container-title:Journal of Animal Breeding and Genetics
language:en
Short-container-title:J Anim Breed Genet

Author:

Brito Lopes Fernando¹²^ORCID,Magnabosco Cláudio U.¹,Passafaro Tiago L.³,Brunes Ludmilla C.⁴^ORCID,Costa Marcos F. O.⁵,Eifert Eduardo C.¹,Narciso Marcelo G.⁵,Rosa Guilherme J. M.³⁶,Lobo Raysildo B.⁷,Baldi Fernando¹

Affiliation:

1. Department of Animal Science São Paulo State University (UNESP) Jaboticabal Brazil

2. Embrapa Cerrados Brasilia Brazil

3. Department of Animal Sciences University of Wisconsin‐Madison Madison WI USA

4. Department of Animal Science Federal University of Goiás (UFG) Goiânia Brazil

5. Embrapa Rice and Beans Santo Antônio de Goiás Brazil

6. Department of Biostatistics and Medical Informatics University of Wisconsin‐Madison Madison WI USA

7. National Association of Breeders and Researchers (ANCP) Ribeirão Preto Brazil

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Wiley

Subject

Animal Science and Zoology,Food Animals,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jbg.12468

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