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Filtros : "CONSUMO ALIMENTAR PARA ANIMAL" "Suiça" Limpar

Filtros

USP affiliated authors
- fukumasu, heidge (~1)
- ribeiro, gabriela (~1)
- rodrigues, paulo henrique mazza (~1)
Date published
- 2021 (~2)
Subjects
- consumo alimentar para animal (2)
- bovinos de corte (1)
- bovinos leiteiros (1)
- digestibilidade (1)
- genes (1)

Collaboration
Normalized affiliation
Non normalized affiliation
- agresearch ltd. grasslands research centre. palmerston north, new zealand (1)
- csiro agriculture and food, st lucia, qld (1)
- college of animal science and technology, yangzhou university, yangzhou (1)
- embrapa gado de leite. juiz de fora, mg (1)
- institute of agriculture science and technology development, yangzhou university, yangzhou (1)

Artigo de periodico
Effects of feeding level and breed composition on intake, digestibility, and methane emissions of dairy heifers (2021)
Silvestre, Tainá ; Lima, Marina A ; Santos, Gustavo B. dos; Pereira, Luiz G. R; Machado, Fernanda S; Tomich, Thierry R; Campos, Mariana M; Jonker, Arjan ; Rodrigues, Paulo Henrique Mazza ; Brandao, Virginia L. N ; Marcondes, Marcos I
Source: Animals. Unidade: FMVZ
Subjects: BOVINOS LEITEIROS, CONSUMO ALIMENTAR PARA ANIMAL, DIGESTIBILIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVESTRE, Tainá et al. Effects of feeding level and breed composition on intake, digestibility, and methane emissions of dairy heifers. Animals, v. 11, n. 3, p. 1-11, 2021Tradução . . Disponível em: https://doi.org/10.3390/ani11030586. Acesso em: 11 nov. 2024.
APA
Silvestre, T., Lima, M. A., Santos, G. B. dos, Pereira, L. G. R., Machado, F. S., Tomich, T. R., et al. (2021). Effects of feeding level and breed composition on intake, digestibility, and methane emissions of dairy heifers. Animals, 11( 3), 1-11. doi:10.3390/ani11030586
NLM
Silvestre T, Lima MA, Santos GB dos, Pereira LGR, Machado FS, Tomich TR, Campos MM, Jonker A, Rodrigues PHM, Brandao VLN, Marcondes MI. Effects of feeding level and breed composition on intake, digestibility, and methane emissions of dairy heifers [Internet]. Animals. 2021 ; 11( 3): 1-11.[citado 2024 nov. 11 ] Available from: https://doi.org/10.3390/ani11030586
Vancouver
Silvestre T, Lima MA, Santos GB dos, Pereira LGR, Machado FS, Tomich TR, Campos MM, Jonker A, Rodrigues PHM, Brandao VLN, Marcondes MI. Effects of feeding level and breed composition on intake, digestibility, and methane emissions of dairy heifers [Internet]. Animals. 2021 ; 11( 3): 1-11.[citado 2024 nov. 11 ] Available from: https://doi.org/10.3390/ani11030586
Artigo de periodico
Identification of predictor genes for feed efficiency in beef cattle by applying machine learning methods to multi-tissue transcriptome data (2021)
Chen, Weihao; Alexandre, Pâmela Almeida ; Ribeiro, Gabriela; Fukumasu, Heidge ; Sun, Wei; Reverter, Antonio; Li, Yutao
Source: Frontiers in Genetics. Unidade: FZEA
Subjects: CONSUMO ALIMENTAR PARA ANIMAL, GENES, BOVINOS DE CORTE, RNA, SEQUENCIAMENTO GENÉTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CHEN, Weihao et al. Identification of predictor genes for feed efficiency in beef cattle by applying machine learning methods to multi-tissue transcriptome data. Frontiers in Genetics, v. 12, p. 1-12, 2021Tradução . . Disponível em: https://doi.org/10.3389/fgene.2021.619857. Acesso em: 11 nov. 2024.
APA
Chen, W., Alexandre, P. A., Ribeiro, G., Fukumasu, H., Sun, W., Reverter, A., & Li, Y. (2021). Identification of predictor genes for feed efficiency in beef cattle by applying machine learning methods to multi-tissue transcriptome data. Frontiers in Genetics, 12, 1-12. doi:10.3389/fgene.2021.619857
NLM
Chen W, Alexandre PA, Ribeiro G, Fukumasu H, Sun W, Reverter A, Li Y. Identification of predictor genes for feed efficiency in beef cattle by applying machine learning methods to multi-tissue transcriptome data [Internet]. Frontiers in Genetics. 2021 ; 12 1-12.[citado 2024 nov. 11 ] Available from: https://doi.org/10.3389/fgene.2021.619857
Vancouver
Chen W, Alexandre PA, Ribeiro G, Fukumasu H, Sun W, Reverter A, Li Y. Identification of predictor genes for feed efficiency in beef cattle by applying machine learning methods to multi-tissue transcriptome data [Internet]. Frontiers in Genetics. 2021 ; 12 1-12.[citado 2024 nov. 11 ] Available from: https://doi.org/10.3389/fgene.2021.619857

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