Intelligent multi-modeling reveals biological relationships and adaptive phenotypes for dairy cow adaptation to climate change (2025)
- Authors:
- USP affiliated authors: FAVERO, LUIZ PAULO LOPES - FEA ; SILVA, IRAN JOSE OLIVEIRA DA - ESALQ ; PIMENTEL, CONCEPTA MARGARET MCMANUS - CENA ; SILVEIRA, ROBSON MATEUS FREITAS - ESALQ
- Unidades: FEA; ESALQ; CENA
- DOI: 10.1016/j.atech.2025.101128
- Subjects: ADAPTAÇÃO ANIMAL; APRENDIZADO COMPUTACIONAL; COMPOSIÇÃO DE ALIMENTOS; FENÓTIPOS; HORMÔNIOS TIREOIDIANOS; LEITE; MUDANÇA CLIMÁTICA; VACAS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Smart Agricultural Technology
- ISSN: 2772-3755
- Volume/Número/Paginação/Ano: v. 12, art. 101128, p. 1-14, 2025
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
SILVEIRA, Robson Mateus Freitas et al. Intelligent multi-modeling reveals biological relationships and adaptive phenotypes for dairy cow adaptation to climate change. Smart Agricultural Technology, v. 12, p. 1-14, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.atech.2025.101128. Acesso em: 26 dez. 2025. -
APA
Silveira, R. M. F., Vasconcelos, A. M. de, McManus, C., Fávero, L. P. L., & Silva, I. J. O. da. (2025). Intelligent multi-modeling reveals biological relationships and adaptive phenotypes for dairy cow adaptation to climate change. Smart Agricultural Technology, 12, 1-14. doi:10.1016/j.atech.2025.101128 -
NLM
Silveira RMF, Vasconcelos AM de, McManus C, Fávero LPL, Silva IJO da. Intelligent multi-modeling reveals biological relationships and adaptive phenotypes for dairy cow adaptation to climate change [Internet]. Smart Agricultural Technology. 2025 ; 12 1-14.[citado 2025 dez. 26 ] Available from: https://doi.org/10.1016/j.atech.2025.101128 -
Vancouver
Silveira RMF, Vasconcelos AM de, McManus C, Fávero LPL, Silva IJO da. Intelligent multi-modeling reveals biological relationships and adaptive phenotypes for dairy cow adaptation to climate change [Internet]. Smart Agricultural Technology. 2025 ; 12 1-14.[citado 2025 dez. 26 ] Available from: https://doi.org/10.1016/j.atech.2025.101128 - Global trends and research frontiers on machine learning in sustainable animal production in times of climate change: Bibliometric analysis aimed at insights and orientations for the coming decades
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Informações sobre o DOI: 10.1016/j.atech.2025.101128 (Fonte: oaDOI API)
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