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| Registros recuperados : 345 | |
| 22. |  | PEREIRA, L. G. R.; MACHADO, F. S.; CAMPOS, M. M.; GUIMARAES JUNIOR, R.; TOMICH, T. R. Estratégias de mitigação de metano na pecuária leiteira. In: SIMPÓSIO MINEIRO, 6.; SIMPÓSIO NACIONAL SOBRE NUTRIÇÃO DE GADO DE LEITE, 1., 2012, Belo Horizonte. Anais... Belo Horizonte: [s.n], 2012. p. 197-224.| Biblioteca(s): Embrapa Gado de Leite. |
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| 23. | | MACHADO, F. S.; PEREIRA, L. G. R.; CAMPOS, M. M.; CARVALHO, B. C. de. Exigências nutricionais de bovinos leiteiros para produção sustentável nos trópicos. In: PEREIRA, L. G. R.; NOBRE, M. M.; NEVES, A. L. A.; CAMPOS, M. M.; MENDONCA, L. C.; GOMIDE, C. A. de M.; SANTOS, G. G. dos; SIQUEIRA, K. B. (Ed.). Pesquisa, desenvolvimento e inovação para a sustentabilidade da bovinocultura leiteira. Juiz de Fora: Embrapa Gado de Leite, 2011. p. 173-187.| Biblioteca(s): Embrapa Gado de Leite. |
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| 25. | | ROCHA, D. T. da; SLUSZZ, T.; CAMPOS, M. M.; MOURA, I. U. G. Modalidades de parcerias de pesquisa, desenvolvimento e transferência de nanotecnologias. In: WORKSHOP DA REDE DE NANOTECNOLOGIA APLICADA AO AGRONEGÓCIO, 7., 2013, São Carlos, SP. Anais... São Carlos, SP: Embrapa Instrumentação, 2013.| Biblioteca(s): Embrapa Gado de Leite. |
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| 29. | | KLIEMANN, R. D.; FERNANDES, S. R.; CAMPOS, M. M.; TOMICH, T. R.; PEREIRA, L. G. R.; GARCEZ NETO, A. F. Sensor validation to record rumination and analysis of behavioral parameters of dairy Gyr heifers in feedlot systems. Tropical Animal Health and Production, v. 55, n. 3, 166, 2023.| Biblioteca(s): Embrapa Gado de Leite. |
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| 30. | | LINHARES, H. M.; BRAGA, R.; ARBEX, W. A.; CAMPOS, M. M.; CAMPOS, F.; DAVID, J. M. N.; STROELE, V. FeedEfficiencyService: an architecture for thecomparison of data from multiple studies related todairy cattle feed efficiency indices. Information Processing in Agriculture, v. 9, n. 3, p. 378-396, 2022.| Biblioteca(s): Embrapa Gado de Leite. |
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| 31. | | MACHADO, M.; ROCHA, D. F.; CAMPOS, M. M.; COSTA, L. A.; CUNHA, A. R. A. de A. Política agrícola Programa de Aquisição de Alimentos. Revista de Política Agrícola, Brasília, DF, v. 29, n. 1, p. 120-132, jan./fev./mar. 2020. Título em inglês: Agricultural policy: Food Acquisition Program.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 32. | | PENA, H. C.; MACHADO, F. S.; CAMPOS, M. M.; TOMICH, T. R.; PEREIRA, L. G. R.; JAYME, C. G. Predição do peso vivo a partir de medidas corporais em animais Girolando. In: WORKSHOP DE INICIAÇÃO CIENTÍFICA DA EMBRAPA GADO DE LEITE, 15., 2015, Juiz de Fora, MG Anais... Juiz de Fora: Embrapa Gado de Leite, 2015. (Embrapa Gado de Leite. Documentos, 176.). 1 p.| Biblioteca(s): Embrapa Gado de Leite. |
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| 34. | | MACHADO, F. S.; GUIMARAES JUNIOR, R.; TEIXEIRA, A. DE M.; CAMPOS, M. M.; PEREIRA, L. G. R. A polpa citrica e a casca de soja na formulação de dietas para vacas de leite. In: SIMPÓSIO MINEIRO, 6.; SIMPÓSIO NACIONAL SOBRE NUTRIÇÃO DE GADO DE LEITE, 1., 2012, Belo Horizonte. Anais... Belo Horizonte: [s.n], 2012. p. 115-127| Biblioteca(s): Embrapa Gado de Leite. |
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| 37. | | PEDROZA, M. G. M.; MACHADO, F. S.; PEREIRA, L. G. R.; CAMPOS, M. M.; TOMICH, T. R.; SANT'ANNA, A. C. Treinamento de novilhas Girolando durante o período pré-parto. In: ENCONTRO ANUAL DE TOLOGIA, 35., 2017, Salvador. Anais... Salvador: Sociedade Brasileira de Etologia, 2017. p. 172.| Biblioteca(s): Embrapa Gado de Leite. |
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| 38. | | OLIVEIRA, G. M. M.; AMORIM, W. P. F.; SILVA, R. B.; ROTTA, P. P.; CAMPOS, M. M.; SILVA, A. L. Consumo e desempenho de novilhas mestiças Holandês×Gir criadas em pasto, recebendo suplemento com diferentes níveis de proteína nãodegradável no rúmen. In: SIMPÓSIO INTERNACIONAL DE BOVINOCULTURA LEITEIRA, 9., 2023, Viçosa, MG. Anais... Viçosa, MG: Universidade Federal de Viçosa, 2023. p. 309-311.| Biblioteca(s): Embrapa Gado de Leite. |
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| 40. | | AMBRÓSIO, L.; LINHARES, H.; DAVID, J. M. N.; BRAGA, R.; ARBEX, W.; CAMPOS, M. M.; CAPILLA, R. Enhancing the reuse of scientific experiments for agricultural software ecosystems. Journal of Grid Computing, v. 19, n. 4, 44, 2021.| Biblioteca(s): Embrapa Gado de Leite. |
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| Registros recuperados : 345 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
03/04/2024 |
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Data da última atualização: |
03/04/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 3 |
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Autoria: |
FREGULIA, P.; DIAS, R. J. P.; CAMPOS, M. M.; TOMICH, T. R.; PEREIRA, L. G. R.; NEVES, A. L. A. |
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Afiliação: |
PRISCILA FREGULIA, UNIVERSIDADE FEDERAL DE JUIZ DE FORA; ROBERTO JÚNIO PEDROSO DIAS, UNIVERSIDADE FEDERAL DE JUIZ DE FORA; MARIANA MAGALHAES CAMPOS, CNPGL; THIERRY RIBEIRO TOMICH, CNPGL; LUIZ GUSTAVO RIBEIRO PEREIRA, CNPGL; ANDRÉ LUIS ALVES NEVES, UNIVERSITY OF COPENHAGEN. |
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Título: |
Composition of the rumen microbiome and its association with methane yield in dairy cattle raised in tropical conditions. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Molecular Biology Reports, v. 51, 447, 2024. |
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DOI: |
https://doi.org/10.1007/s11033-024-09381-0 |
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Idioma: |
Inglês |
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Conteúdo: |
Background- Methane (CH4) emissions from rumen fermentation are a significant contributor to global warming. Cattle with high CH4 emissions tend to exhibit lower efficiency in milk and meat production, as CH4 production represents a loss of the gross energy ingested by the animal. The objective of this study was to investigate the taxonomic and functional composition of the rumen microbiome associated with methane yield phenotype in dairy cattle raised in tropical areas. Methods and results - Twenty-two Girolando (F1 Holstein x Gyr) heifers were classified based on their methane yield (g CH4 / kg dry matter intake (DMI)) as High CH4 yield and Low CH4 yield. Rumen contents were collected and analyzed using amplicon sequencing targeting the 16 and 18S rRNA genes. The diversity indexes showed no differences for the rumen microbiota associated with the high and low methane yield groups. However, the sparse partial least squares discriminant analysis (sPLS-DA) revealed different taxonomic profiles of prokaryotes related to High and Low CH4, but no difference was found for protozoa. The predicted functional profile of both prokaryotes and protozoa differed between High- and Low CH4 groups. Conclusions - Our results suggest differences in rumen microbial composition between CH4 yield groups, with specific microorganisms being strongly associated with the Low (e.g. Veillonellaceae_UCG−001) and High (e.g., Entodinium) CH4 groups. Additionally, specific microbial functions were found to be differentially more abundant in the Low CH4 group, such as K19341, as opposed to the High CH4 group, where K05352 was more prevalent. This study reinforces that identifying the key functional niches within the rumen is vital to understanding the ecological interplay that drives methane production. MenosBackground- Methane (CH4) emissions from rumen fermentation are a significant contributor to global warming. Cattle with high CH4 emissions tend to exhibit lower efficiency in milk and meat production, as CH4 production represents a loss of the gross energy ingested by the animal. The objective of this study was to investigate the taxonomic and functional composition of the rumen microbiome associated with methane yield phenotype in dairy cattle raised in tropical areas. Methods and results - Twenty-two Girolando (F1 Holstein x Gyr) heifers were classified based on their methane yield (g CH4 / kg dry matter intake (DMI)) as High CH4 yield and Low CH4 yield. Rumen contents were collected and analyzed using amplicon sequencing targeting the 16 and 18S rRNA genes. The diversity indexes showed no differences for the rumen microbiota associated with the high and low methane yield groups. However, the sparse partial least squares discriminant analysis (sPLS-DA) revealed different taxonomic profiles of prokaryotes related to High and Low CH4, but no difference was found for protozoa. The predicted functional profile of both prokaryotes and protozoa differed between High- and Low CH4 groups. Conclusions - Our results suggest differences in rumen microbial composition between CH4 yield groups, with specific microorganisms being strongly associated with the Low (e.g. Veillonellaceae_UCG−001) and High (e.g., Entodinium) CH4 groups. Additionally, specific microbial functions were found ... Mostrar Tudo |
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Palavras-Chave: |
Enteric methane. |
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Thesagro: |
Bovino; Efeito Estufa; Gado Leiteiro; Gás; Metano. |
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Thesaurus NAL: |
Greenhouse gases. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02629naa a2200277 a 4500
001 2163280
005 2024-04-03
008 2024 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s11033-024-09381-0$2DOI
100 1 $aFREGULIA, P.
245 $aComposition of the rumen microbiome and its association with methane yield in dairy cattle raised in tropical conditions.$h[electronic resource]
260 $c2024
520 $aBackground- Methane (CH4) emissions from rumen fermentation are a significant contributor to global warming. Cattle with high CH4 emissions tend to exhibit lower efficiency in milk and meat production, as CH4 production represents a loss of the gross energy ingested by the animal. The objective of this study was to investigate the taxonomic and functional composition of the rumen microbiome associated with methane yield phenotype in dairy cattle raised in tropical areas. Methods and results - Twenty-two Girolando (F1 Holstein x Gyr) heifers were classified based on their methane yield (g CH4 / kg dry matter intake (DMI)) as High CH4 yield and Low CH4 yield. Rumen contents were collected and analyzed using amplicon sequencing targeting the 16 and 18S rRNA genes. The diversity indexes showed no differences for the rumen microbiota associated with the high and low methane yield groups. However, the sparse partial least squares discriminant analysis (sPLS-DA) revealed different taxonomic profiles of prokaryotes related to High and Low CH4, but no difference was found for protozoa. The predicted functional profile of both prokaryotes and protozoa differed between High- and Low CH4 groups. Conclusions - Our results suggest differences in rumen microbial composition between CH4 yield groups, with specific microorganisms being strongly associated with the Low (e.g. Veillonellaceae_UCG−001) and High (e.g., Entodinium) CH4 groups. Additionally, specific microbial functions were found to be differentially more abundant in the Low CH4 group, such as K19341, as opposed to the High CH4 group, where K05352 was more prevalent. This study reinforces that identifying the key functional niches within the rumen is vital to understanding the ecological interplay that drives methane production.
650 $aGreenhouse gases
650 $aBovino
650 $aEfeito Estufa
650 $aGado Leiteiro
650 $aGás
650 $aMetano
653 $aEnteric methane
700 1 $aDIAS, R. J. P.
700 1 $aCAMPOS, M. M.
700 1 $aTOMICH, T. R.
700 1 $aPEREIRA, L. G. R.
700 1 $aNEVES, A. L. A.
773 $tMolecular Biology Reports$gv. 51, 447, 2024.
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