Source: Journal of Animal Breeding and Genetics. Unidade: FMRP
Subjects: BOVINOCULTURA, CRIAÇÃO ANIMAL, REDES NEURAIS, SELEÇÃO GENÉTICA, CARNES E DERIVADOS, GADO ZEBU, GADO NELORE
ABNT
LOPES, Fernando Brito et al. Improving genomic prediction accuracy for meat tenderness in Nellore cattle using artificial neural networks. Journal of Animal Breeding and Genetics, v. 137, n. 5, p. 438-448, 2020Tradução . . Disponível em: https://doi.org/10.1111/jbg.12468. Acesso em: 08 out. 2024.APA
Lopes, F. B., Magnabosco, C. U., Passafaro, T. L., Brunes, L. C., Costa, M. F. O., Eifert, E. C., et al. (2020). Improving genomic prediction accuracy for meat tenderness in Nellore cattle using artificial neural networks. Journal of Animal Breeding and Genetics, 137( 5), 438-448. doi:10.1111/jbg.12468NLM
Lopes FB, Magnabosco CU, Passafaro TL, Brunes LC, Costa MFO, Eifert EC, Narciso MG, Rosa GJM, Lôbo RB, Baldi F. Improving genomic prediction accuracy for meat tenderness in Nellore cattle using artificial neural networks [Internet]. Journal of Animal Breeding and Genetics. 2020 ; 137( 5): 438-448.[citado 2024 out. 08 ] Available from: https://doi.org/10.1111/jbg.12468Vancouver
Lopes FB, Magnabosco CU, Passafaro TL, Brunes LC, Costa MFO, Eifert EC, Narciso MG, Rosa GJM, Lôbo RB, Baldi F. Improving genomic prediction accuracy for meat tenderness in Nellore cattle using artificial neural networks [Internet]. Journal of Animal Breeding and Genetics. 2020 ; 137( 5): 438-448.[citado 2024 out. 08 ] Available from: https://doi.org/10.1111/jbg.12468