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| Registros recuperados : 71 | |
| 3. |  | SILVA, A. L.; MARCONDES, M. I.; DETMANN, E.; MACHADO, F. S.; VALADARES FILHO, S. C.; TRECE, A. S.; DIJKSTRA, J. Effects of raw milk and starter feed on intake and body composition of Holstein × Gyr male calves up to 64 days of age. Journal of Dairy Science, v. 98, n. 4, p. 2641-2649, 2015.| Biblioteca(s): Embrapa Gado de Leite. |
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| 6. | | CHAGAS, J. C.; FERREIRA, M. A.; ENTEJS, M. R.; MACHADO, F. S.; SILVA, L F. C.; MARCONDES, M. I. Methionine: lysine ratio for crossbred sucling calves fed milk replacer and a amino acid complex Journal of Animal Science, v. 94, p. 615, 2016. Suppl. 1 Edição dos proceedings do Joint Annual Meeting of American Society of Animal Science and American Dairy Science Association, Salt Lake City, USA, 2016.| Biblioteca(s): Embrapa Gado de Leite. |
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| 8. | | SGUIZZATO, A. L. L.; MARCONDES, M. I.; VALADARES FILHO, S. C.; CATON, J.; NEVILLE, T. L.; MACHADO, F. S.; PACHECO, M. V. C.; ROTTA, P. P. Body composition changes of crossbred Holstein × Gyr cows and conceptus during pregnancy. Journal of Dairy Science, v. 103, n. 3, p. 2773-2783, 2020.| Biblioteca(s): Embrapa Gado de Leite. |
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| 9. | | JOLOMBA, J. R.; MARCONDES, M. I.; VELOSO, C. M.; OSS, D. B.; AZEVEDO, R. A.; COELHO, S. G.; CAMPOS, M. M. Breed effect on energy requirements of crossbred (Holstein x Gyr) or purebred Holstein calves. In: SIMPÓSIO NACIONAL DE BOVINOCULTURA LEITEIRA - SIMLEITE, 5.; SIMPÓSIO INTERNACIONAL DE BOVINOCULTURA LEITEIRA, 3., 2015, Viçosa, MG. Anais... Viçosa: UFV, 2015. p. 381-383.| Biblioteca(s): Embrapa Gado de Leite. |
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| 10. | | MACHADO, F. S.; OSS, D.; TOMICH, T. R.; PEREIRA, L. G. R.; CAMPOS, M. M.; FREITAS, L. N.; MARCONDES, M. I. Enteric methane emission by crossbred (Holstein x Gyr) steers under different feeding levels. In: BIENNIAL CONFERENCE OF THE AUSTRALIAN SOCIETY OF ANIMAL PRODUCTION, 30., 2014, Canberra. Proceedings... Toowong: The Australian Society of Animal Production, 2014. p. 242| Biblioteca(s): Embrapa Gado de Leite. |
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| 11. | | CASTRO, M. M. D.; SILVA, A. L. da; MOREIRA, T. S.; SILVA, T. E. da; TRECE, A. de S.; TRECE, A. S.; MARCONDES, M. I.; CAMPOS, M. M. Eficiência de utilização da energia metabolizável para ganho e mantença de bezerros mestiços Holandês×Gir ate os 60 dias de idade. In: CONGRESSO BRASILEIRO DE ZOOTECNIA, 24., 2014, Vitória. Anais... Vitória: Universidade Federal do Espírito Santo, 2014. 3 p.| Biblioteca(s): Embrapa Gado de Leite. |
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| 12. | | CHAGAS, J. C. C.; FERREIRA, M. A.; CAMPOS, M. M.; MACHADO, F. S.; SILVA, L. C.; FACIOLA, A.; MARCONDES, M. I. Energy and protein requirements of crossbred Holstein x Gyr calves fed commercial milk replacer and amino acid supplement. Animal Production Science, v. 59, n. 5, p. 879-886, 2019.| Biblioteca(s): Embrapa Gado de Leite. |
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| 13. | | OSS, D. B.; MACHADO, F. S.; TOMICH, T. R.; PEREIRA, L. G. R.; CAMPOS, M. M.; CASTRO, M. M. D; SILVA, T. E. DA; MARCONDES, M. I. Energy and protein requirements of crossbred (Holstein x Gyr) growing bulls. Journal of Dairy Science, v. 100, n. 4, p. 2603-2613, 2017.| Biblioteca(s): Embrapa Gado de Leite. |
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| 14. | | RODRIGUES, J. P. P.; LIMA, J. C. M.; CASTRO, M. M. D.; VALADARES FILHO, S. de C.; CAMPOS, M. M.; CHIZOTTI, M. L.; MARCONDES, M. I. Energy and protein requirements of young Holstein calves in tropical condition. Tropical Animal Health and Production, n. 48, p. 1387-1394, 2016.| Biblioteca(s): Embrapa Gado de Leite. |
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| 15. | | LIMA, J. C. M.; RODRIGUES, J. P. P.; MARCONDES, M. I.; MACHADO, F. S.; TREECE, A. S.; CASTRO, M. M. D.; DIAS, J. L. C.; ARAÚJO, T. Energy requirement of Holstein calves. Journal of Dairy Science, v. 96, p. 262, 2013. Suppl. 1. Edição dos abstracts do ASAS Joint Annual Meeting, 2013, Indianápolis. | Biblioteca(s): Embrapa Gado de Leite. |
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| 16. | | SILVESTRE, T.; FERREIRA, A. L.; MACHADO, F. S.; CAMPOS, M. M.; TOMICH, T. R.; PEREIRA, L. G. R.; RODRIGUES, P. H. M.; MARCONDES, M. I. Energy requirements of Holstein, Gyr, and Holstein x Gyr crossbred heifers using the respirometry technique. Frontiers in Animal Science, v. 3, 919515, 2022.| Biblioteca(s): Embrapa Gado de Leite. |
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| 17. | | SGUIZZATO, A. L. L.; MARCONDES, M. I.; DIJKSTRA, J.; VALADARES FILHO, S. de C.; CAMPOS, M. M.; MACHADO, F. S.; SILVA, B. C.; ROTTA, P. P. Energy requirements for pregnant dairy cows. PLoS One, v. 15, n. 7, e0235619, 2020.| Biblioteca(s): Embrapa Gado de Leite. |
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| 18. | | MACHADO, F. S.; OSS, D.; TOMICH, T. R.; PEREIRA, L. G. R.; CAMPOS, M. M.; FREITAS, L. N.; MARCONDES, M. I.; CHIZZOTTI, M. L. Effects of feeding level on energy expenditure and methane emission in crossbred (Holstein x Gyr) steers. In: BIENNIAL CONFERENCE OF THE AUSTRALIAN SOCIETY OF ANIMAL PRODUCTION, 30., 2014, Canberra. Proceedings... Toowong: The Australian Society of Animal Production, 2014. p. 241.| Biblioteca(s): Embrapa Gado de Leite. |
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| 19. | | CHAGAS, J. C. C.; FERREIRA, M. A.; FACIOLA, A. P.; MACHADO, F. S.; CAMPOS, M. M.; ENTJES, M. R.; DONZELE, J. L.; MARCONDES, M. I. Effects of methionine plus cysteine inclusion on performance and body composition of liquid-fed crossbred calves fed a commercial milk replacer and no starter feed. Journal of Dairy Science, v. 101, n. 7, p. 6055-6065, 2018.| Biblioteca(s): Embrapa Gado de Leite. |
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| 20. | | FONSECA, C. E. M. da; VALADARES, R. F. D.; VALADARES FILHO, S. de C.; LEÃO, M. I.; RODRIGUES, M. T.; MARCONDES, M. I.; PAIXÃO, M. L. Balanço de compostos nitrogenados, pH e concentração de reuminal de amônia em cabras alimentadas diferenes níveis de proteína. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 43., 2006, João Pessoa. Produção animal em biomas tropicais: anais dos simpósios. João Pessoa: Sociedade Brasileira de Zootecnia, 2006. 4 f.| Biblioteca(s): Embrapa Caprinos e Ovinos. |
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| Registros recuperados : 71 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sudeste. Para informações adicionais entre em contato com cppse.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite; Embrapa Pecuária Sudeste. |
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Data corrente: |
17/11/2022 |
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Data da última atualização: |
29/11/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
CONGIO, G. F. S.; BANNINK, A.; MAYORGA, O. L.; RODRIGUES, J. P. P.; BOUGOUIN, A.; KEBREAB, E.; CARVALHO, P. C. F.; BERCHIELLI, T. T.; MERCADANTE, M. E. Z.; VALADARES-FILHO, S. C.; BORGES, A. L. C. C.; BERNDT, A.; RODRIGUES, P. H. M.; KU-VERA, J. C.; MOLINA-BOTERO, I. C.; ARANGO, J.; REIS, R. A.; POSADA-OCHOA , S. L.; TOMICH, T. R.; CASTELÁN-ORTEGA, O. A.; MARCONDES, M. I.; GÓMEZ, C.; RIBEIRO-FILHO, H. M. N.; GERE, J. I.; ARIZA-NIETO, C.; GIRALDO, L. A.; GONDA, H.; CERÓN-CUCCHI, M. E.; HERNÁNDEZ, O.; RICCI, P.; HRISTOV, A. N. |
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Afiliação: |
GUILHERMO F. S. CONGIO, Escola Superior de Agricultura Luiz de Queiroz; ANDRÉ BANNINK, Wageningen University & Research; OLGA L. MAYORGA, Colombian Corporation for Agricultural Research; JOÃO P. P. RODRIGUES, Universidade Federal Rural do Rio de Janeiro; ADELINE BOUGOUIN, University of California; ERMIAS KEBREAB, University of California; PAULO C. F. CARVALHO, Universidade Federal do Rio de Janeiro; TELMA T. BERCHIELLI, Universidade Estadual Paulista; MARIA E. Z. MERCADANTE, Agência Paulista de Tecnologia do Agronegócio; SEBASTIÃO C. VALADARES-FILHO, Universidade Federal de Viçosa; ANA L. C. C. BORGES, Universidade Federal de Minas Gerais; ALEXANDRE BERNDT, CPPSE; PAULO H. M. RODRIGUES, Universidade de São Paulo; JUAN C. KU-VERA, University of Yucatan; ISABEL C. MOLINA-BOTERO, National Agrarian University La Molina; JACOBO ARANGO, International Center for Tropical Agriculture; RICARDO A. REIS, Universidade Estadual Paulista; SANDRA L. POSADA-OCHOA, University of Antioquia; THIERRY RIBEIRO TOMICH, CNPGL; OCTAVIO A. CASTELÁN-ORTEGA, Autonomous University of the State of Mexico; MARCOS I. MARCONDES, Washington State University; CARLOS GÓMEZ, National Agrarian University La Molina; HENRIQUE M. N. RIBEIRO-FILHO, Universidade do Estado de Santa Catarina; JOSÉ I. GERE, National Technological University; CLAUDIA ARIZA-NIETO, Colombian Corporation for Agricultural Research; LUIS A. GIRALDO, National University of Colombia; HORACIO GONDA, Swedish University of Agricultural Sciences; MARÍA E. CERÓN-CUCCHI, National Institute of Agricultural Technology; OLEGARIO HERNÁNDEZ, National Institute of Agricultural Technology; PATRICIA RICCI, National Institute of Agricultural Technology; ALEXANDER N. HRISTOV, The Pennsylvania State University. |
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Título: |
Improving the accuracy of beef cattle methane inventories in Latin America and Caribbean countries. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Science of the Total Environment, v. 856, 159128, 2023. |
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DOI: |
http://dx.doi.org/10.1016/j.scitotenv.2022.159128 |
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Idioma: |
Inglês |
|
Conteúdo: |
On-farm methane (CH4) emissions need to be estimated accurately so that the mitigation effect of recommended prac-tices can be accounted for. In the present study prediction equations for enteric CH4 have been developed in lieu of expensive animal measurement approaches. Our objectives were to: (1) compile a dataset from individual beef cattle data for the Latin America and Caribbean (LAC) region; (2) determine main predictors of CH4 emission variables; (3) develop and cross-validate prediction models according to dietary forage content (DFC); and (4) compare the pre-dictive ability of these newly-developed models with extant equations reported in literature, including those currently used for CH4 inventories in LAC countries. After outlier's screening, 1100 beef cattle observations from 55 studies were kept in the final dataset (similar to 50 % of the original dataset). Mixed-effects models were fitted with a random effect of study. The whole dataset was split according to DFC into a subset for all-forage (DFC = 100 %), high-forage (94 % >= DFC >= 54 %), and low-forage (50 % >= DFC) diets. Feed intake and average daily gain (ADG) were the main pre-dictors of CH4 emission (g d-1), whereas this was feeding level [dry matter intake (DMI) as % of body weight] for CH4 yield (g kg-1 DMI). The newly-developed models were more accurate than IPCC Tier 2 equations for all subsets. Sim-ple and multiple regression models including ADG were accurate and a feasible option to predict CH4 emission when data on feed intake are not available. Methane yield was not well predicted by any extant equation in contrast to the newly-developed models. The present study delivered new models that may be alternatives for the IPCC Tier 2 equa-tions to improve CH4 prediction for beef cattle in inventories of LAC countries based either on more or less readily available data. MenosOn-farm methane (CH4) emissions need to be estimated accurately so that the mitigation effect of recommended prac-tices can be accounted for. In the present study prediction equations for enteric CH4 have been developed in lieu of expensive animal measurement approaches. Our objectives were to: (1) compile a dataset from individual beef cattle data for the Latin America and Caribbean (LAC) region; (2) determine main predictors of CH4 emission variables; (3) develop and cross-validate prediction models according to dietary forage content (DFC); and (4) compare the pre-dictive ability of these newly-developed models with extant equations reported in literature, including those currently used for CH4 inventories in LAC countries. After outlier's screening, 1100 beef cattle observations from 55 studies were kept in the final dataset (similar to 50 % of the original dataset). Mixed-effects models were fitted with a random effect of study. The whole dataset was split according to DFC into a subset for all-forage (DFC = 100 %), high-forage (94 % >= DFC >= 54 %), and low-forage (50 % >= DFC) diets. Feed intake and average daily gain (ADG) were the main pre-dictors of CH4 emission (g d-1), whereas this was feeding level [dry matter intake (DMI) as % of body weight] for CH4 yield (g kg-1 DMI). The newly-developed models were more accurate than IPCC Tier 2 equations for all subsets. Sim-ple and multiple regression models including ADG were accurate and a feasible option to predict CH4 ... Mostrar Tudo |
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Thesagro: |
Bovino; Efeito Estufa; Gado de Corte; Gás; Metano; Regressão Linear. |
|
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
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008 2023 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.1016/j.scitotenv.2022.159128$2DOI
100 1 $aCONGIO, G. F. S.
245 $aImproving the accuracy of beef cattle methane inventories in Latin America and Caribbean countries.$h[electronic resource]
260 $c2023
520 $aOn-farm methane (CH4) emissions need to be estimated accurately so that the mitigation effect of recommended prac-tices can be accounted for. In the present study prediction equations for enteric CH4 have been developed in lieu of expensive animal measurement approaches. Our objectives were to: (1) compile a dataset from individual beef cattle data for the Latin America and Caribbean (LAC) region; (2) determine main predictors of CH4 emission variables; (3) develop and cross-validate prediction models according to dietary forage content (DFC); and (4) compare the pre-dictive ability of these newly-developed models with extant equations reported in literature, including those currently used for CH4 inventories in LAC countries. After outlier's screening, 1100 beef cattle observations from 55 studies were kept in the final dataset (similar to 50 % of the original dataset). Mixed-effects models were fitted with a random effect of study. The whole dataset was split according to DFC into a subset for all-forage (DFC = 100 %), high-forage (94 % >= DFC >= 54 %), and low-forage (50 % >= DFC) diets. Feed intake and average daily gain (ADG) were the main pre-dictors of CH4 emission (g d-1), whereas this was feeding level [dry matter intake (DMI) as % of body weight] for CH4 yield (g kg-1 DMI). The newly-developed models were more accurate than IPCC Tier 2 equations for all subsets. Sim-ple and multiple regression models including ADG were accurate and a feasible option to predict CH4 emission when data on feed intake are not available. Methane yield was not well predicted by any extant equation in contrast to the newly-developed models. The present study delivered new models that may be alternatives for the IPCC Tier 2 equa-tions to improve CH4 prediction for beef cattle in inventories of LAC countries based either on more or less readily available data.
650 $aBovino
650 $aEfeito Estufa
650 $aGado de Corte
650 $aGás
650 $aMetano
650 $aRegressão Linear
700 1 $aBANNINK, A.
700 1 $aMAYORGA, O. L.
700 1 $aRODRIGUES, J. P. P.
700 1 $aBOUGOUIN, A.
700 1 $aKEBREAB, E.
700 1 $aCARVALHO, P. C. F.
700 1 $aBERCHIELLI, T. T.
700 1 $aMERCADANTE, M. E. Z.
700 1 $aVALADARES-FILHO, S. C.
700 1 $aBORGES, A. L. C. C.
700 1 $aBERNDT, A.
700 1 $aRODRIGUES, P. H. M.
700 1 $aKU-VERA, J. C.
700 1 $aMOLINA-BOTERO, I. C.
700 1 $aARANGO, J.
700 1 $aREIS, R. A.
700 1 $aPOSADA-OCHOA , S. L.
700 1 $aTOMICH, T. R.
700 1 $aCASTELÁN-ORTEGA, O. A.
700 1 $aMARCONDES, M. I.
700 1 $aGÓMEZ, C.
700 1 $aRIBEIRO-FILHO, H. M. N.
700 1 $aGERE, J. I.
700 1 $aARIZA-NIETO, C.
700 1 $aGIRALDO, L. A.
700 1 $aGONDA, H.
700 1 $aCERÓN-CUCCHI, M. E.
700 1 $aHERNÁNDEZ, O.
700 1 $aRICCI, P.
700 1 $aHRISTOV, A. N.
773 $tScience of the Total Environment$gv. 856, 159128, 2023.
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Embrapa Pecuária Sudeste (CPPSE) |
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