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| Registros recuperados : 315 | |
| 301. |  | OSS, D. B.; MARCONDES, M. I.; MACHADO, F. S.; TOMICH, T. R.; PEREIRA, L. G. R.; CAMPOS, M. M.; CASTRO, M. M. D.; SILVA, T. E.; TRECE, A. S.; GUERRA, R. F. O.; GODINHO JR, E. C.; COSTA, G. P.; MACHADO, A. F.; LOBO, C. F.; PROVAZI, F. P. Estimates of energy requirements for maintenance and gain of Holstein x Gyr crossbred yearling bulls using comparative slaughter and respiration chambers techniques. In: SIMPÓSIO NACIONAL DE BOVINOCULTURA LEITEIRA - SIMLEITE, 5.; SIMPÓSIO INTERNACIONAL DE BOVINOCULTURA LEITEIRA, 3., 2015, Viçosa, MG. Anais... Viçosa: UFV, 2015. p. 333-336.| Biblioteca(s): Embrapa Gado de Leite. |
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| 302. | | DINIZ NETO, H. C.; LOMBARDI, N. C.; CAMPOS, M. M.; LAGE, A. P.; SILVA, R. O. S.; DORNELES, E. M. S.; LAGE, C. F. A.; CARVALHO, W. A.; MACHADO, F. S.; PEREIRA, L. G. R.; TOMICH, T. R.; RAMOS, C. P.; ASSIS, R. A.; LOBATO, F. C. F.; SANTANA, J. A.; SANTOS, E. L. S.; ANDRADE, R. S.; COELHO, S. G. Effects of vaccination against brucellosis and clostridia on the intake, performance, feeding behavior, blood parameters, and immune responses of dairy heifers calves. Journal of Animal Science, v. 99, n. 5, skab107, 2021.| Biblioteca(s): Embrapa Gado de Leite. |
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| 303. | | RIBEIRO, A. K. do C.; DINIZ NETO, H. do C.; LOMBARDI, M. C.; LAGE, C. F. de A.; CARVALHO, W. A.; MACHADO, F. S.; PEREIRA, L. G. R.; TOMICH, T. R.; COELHO, S. G.; NEVES, L. F. M.; RAMOS JÚNIOR, W. L.; CAMPOS, M. M. Efeitos de duas estratégias de vacinação contra brucelose e clostridioses sobre o desempenho de bezerras leiteiras. In: WORKSHOP DE INICIAÇÃO CIENTÍFICA DA EMBRAPA GADO DE LEITE, 23., 2019, Juiz de Fora. Anais... Juiz de Fora: Embrapa Gado de Leite, 2019. (Embrapa Gado de Leite. Documentos, 234). 4 p.| Biblioteca(s): Embrapa Gado de Leite. |
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| 304. | | COMINATO, V.; ALBUQUERQUE, B. S. F.; PEREIRA, B. P.; RIBEIRO, A. K. do C.; SOARES, G. O.; PAIXÃO, R.; MAIA, G. G.; SIQUEIRA, L. G. B.; CAMARGO, L. S. de A.; PEREIRA, L. G. R.; CAMPOS, M. M.; TOMICH, T. R. Efeitos do estresse térmico na atividade da ruminação e na degradabilidade ruminal in situ em vacas leiteiras. In: WORKSHOP DE INICIAÇÃO CIENTÍFICA DA EMBRAPA GADO DE LEITE, 25., 2021, Juiz de Fora. Anais... Juiz de Fora: Embrapa Gado de Leite, 2021. (Embrapa Gado de Leite. Documentos, 261).| Biblioteca(s): Embrapa Gado de Leite. |
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| 305. | | BERGIER, I.; GOULART, T.; FRANCO, E.; RECH, R.; SILVA, D. S. da; OLIVEIRA, G. S. de; ALVES, L. F.; MORAES, A.; KOSOSKI, A. R.; SANTOS, K.; BULLER, L. S.; ORTEGA, H.; FERNANDES, C.; SILVA, R.; SILVA, P.; GABAS, S. G.; LASTORIA, G.; MORAES, O.; RAMOS, F. M.; TOMICH, T. R. Fertirrigação e agricultura de baixa emissão de carbono: resultados do projeto CNPq/REPENSA em São Gabriel do Oeste. Corumbá: Embrapa Pantanal, 2012. 30 p. il. (Boletim de Pesquisa e Desenvolvimento, 116).| Biblioteca(s): Embrapa Gado de Leite; Embrapa Pantanal. |
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| 306. | | MAIA, G. G.; SIQUEIRA, L. G. B.; VASCONCELOS, C. O. de P.; TOMICH, T. R.; CAMARGO, L. S. de A.; RODRIGUES, J. P. P.; MENEZES, R. A. de; GONÇALVES, L. C.; TEIXEIRA, B. F.; GRANDO, R. de O.; NOGUEIRA, L. A. G.; PEREIRA, L. G. R. Effects of heat stress on rumination activity in Holstein-Gyr dry cows. Livestock Science, v. 239, 104092, 2020.| Biblioteca(s): Embrapa Gado de Leite. |
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| 307. | | KOLLING, G. J.; STIVANIN, S. C. B.; GABBI, A. M.; MACHADO, F. S.; FERREIRA, A. L.; CAMPOS, M. M.; TOMICH, T. R.; CUNHA, C. S.; KLEIN, C. P.; AUGUST, P. M.; MATTÉ, C.; DILL, S. W.; PEREIRA, L. G. R.; FISCHER, V. Milk production and hematological and antioxidant profiles of dairy cows supplemented with oregano and green tea extracts as feed additives. Revista Brasileira de Zootecnia, v. 51, e20210150, 2022.| Biblioteca(s): Embrapa Gado de Leite. |
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| 308. | | CAMPOLINA, J. P.; COELHO, S. G.; BELLI, A. L.; NEVES, L. F. M.; MACHADO, F. S.; PEREIRA, L. G. R.; TOMICH, T. R.; CARVALHO, W. A.; DAIBERT, R. M. P.; REIS, D. R. de L.; COSTA, S. F.; VOORSLUYS, A. L.; JACOB, D. V.; CAMPOS, M. M. Potential benefits of a blend of essential oils on metabolism, digestibility, organ development and gene expression of dairy calves. Scientific Reports, v. 13, article 3378, 2023.| Biblioteca(s): Embrapa Gado de Leite. |
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| 309. | | RIBEIRO, R. S.; RODRIGUES, J. P. P.; MAURÍCIO, R. M.; BORGES, A. L. C. C.; REIS E SILVA, R.; BERCHIELLI, T. T.; VALADARES FILHO, S. C.; MACHADO, F. S.; CAMPOS, M. M.; FERREIRA, A. L.; GUIMARAES JUNIOR, R.; AZEVÊDO, J. A. G.; SANTOS, R. D. dos; TOMICH, T. R.; PEREIRA, L. G. R. Predicting enteric methane production from cattle in the tropics. Animal, 2020. 15 p.| Biblioteca(s): Embrapa Cerrados; Embrapa Gado de Leite; Embrapa Semiárido. |
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| 310. | | SOUSA, L. B.; PEREIRA, M. L. A.; SILVA, H. G. de O.; SOUSA, L. B.; SILVA, L. S. e; MACHADO, F. S.; TOMICH, T. R.; OSS, D. B.; FERREIRA, A. L.; CAMPOS, M. M.; COSTA, I. C.; PEREIRA, L. G. R. Prosopis juliflora piperidine alkaloid extract levels in diet for sheep change energy and nitrogen metabolism and affect enteric methane yield. Journal of the Science of Food and Agriculture, v. 102, p. 5132-5140, 2022.| Biblioteca(s): Embrapa Gado de Leite. |
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| 311. | | SOUZA, S. M. de; OSS, D. B.; PEREIRA, L. G. R.; BENTO, C. B. P.; MANTOVANI, H. C.; MARCONDES, M. I.; MACHADO, F. S.; TOMICH, T. R.; CAMPOS, M. M.; CARMO, A. S.; MOREIRA, E. de A.; MOREIRA, S. A. T.; ARCURI, P. B. Relationship between rumen methanogens and methane production in crossbred Holstein-Gyr steers In: ADSA ASAS JOINT ANNUAL MEETING, 2015, Orlando. Proceedings... Orlando: ADSA: ASAS, 2015.| Biblioteca(s): Embrapa Gado de Leite. |
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| 312. | | SILVEIRA, S. R.; TERRY, S. A.; BIFFIN, T. E.; MAURÍCIO, R. M.; PEREIRA, L. G. R.; FERREIRA, A. L.; RIBEIRO, R. S.; SACRAMENTO, J. P.; TOMICH, T. R.; MACHADO, F. S.; CAMPOS, M. M.; GAMA, M. A. S. da; CHAVES, A. V. Replacement of soybean meal with soybean cake reduces methane emissions in dairy cows and an assessment of a face-mask technique for methane measurement. Frontiers in Veterinary Science, v. 6, article 295, 2019.| Biblioteca(s): Embrapa Gado de Leite. |
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| 313. | | RIBEIRO, R. S.; TERRY, S. A.; SACRAMENTO, J. P.; SILVEIRA, S. R. e; BENTO, C. B. P.; SILVA, E. F. da; MANTOVANI, H. C.; GAMA, M. A. S. da; PEREIRA, L. G. R.; TOMICH, T. R.; MAURÍCIO, R. M.; CHAVES, A. V. Tithonia diversifolia as a supplementary feed for dairy cows. PLoS ONE, v. 11, n. 12, e0165751, 2016.| Biblioteca(s): Embrapa Gado de Leite. |
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| 314. | | 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. Improving the accuracy of beef cattle methane inventories in Latin America and Caribbean countries. Science of the Total Environment, v. 856, 159128, 2023.| Biblioteca(s): Embrapa Gado de Leite; Embrapa Pecuária Sudeste. |
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| 315. | | CONGIO, G. F. DE. S.; BANNINK, A.; MAYORGA MOGOLLÓN, O. L.; JAURENA, G.; GONDA, H.; GERE, J. I.; CERÓN-CUCCHI, M. E.; ORTIZ-CHURA, A.; TIERI, M. P.; HERNÁNDEZ, O.; RICCI, P.; JULIARENA, M. P.; LOMBARDI, B.; ABDALLA, A. L.; ABDALLA-FILHO, A. L.; BERNDT, A.; OLIVEIRA, P. P. A.; HENRIQUE, F. L.; MONTEIRO, A. L. G.; BORGES, L. I.; RIBEIRO-FILHO, H. M. N.; PEREIRA, L. G. R.; TOMICH, T. R.; CAMPOS, M. M.; MACHADO, F. S.; MARCONDES, M. I.; MERCADANTE, M. E. Z.; SAKAMOTO, L. S.; ALBUQUERQUE, L. G.; CARVALHO, P. C. DE. F.; ROSSETTO, J.; SAVIAN, J. V.; RODRIGUES, P. H. M.; PERNA JÚNIOR, F.; MOREIRA, T. S.; MAURÍCIO, R. M.; RODRIGUES, J. P. P.; BORGES, A. L. DA C. C.; SILVA, R. R. E.; LAGE, H. F.; REIS, R. A.; RUGGIERI, A. C.; CARDOSO, A. DA. S.; SILVA, S. C. DA; CHIAVEGATO, M. B.; VALADARES-FILHO, S. DE. C.; SILVA, F. A. DE. S.; ZANETTI, D.; BERCHIELLI, T. T.; MESSANA, J. D.; MUÑOZ, C.; ARIZA-NIETO, C. J.; SIERRA-ALARCÓN, A. M.; GUALDRÓN-DUARTE, L. B.; MESTRA-VARGAS, L. I.; MOLINA-BOTERO, I. C.; BARAHONA-ROSALES, R.; ARANGO, J.; GAVIRIA-URIBE, X.; VALDERRAMA, L. A. G.; ROSERO-NOGUERA, J. R.; POSADA-OCHOA, S. L.; ABARCA-MONGE, S.; SOTO-BLANCO, R.; KU-VERA, J. C.; JIMÉNEZ-OCAMPO, R.; FLORES-SANTIAGO, E. DEL. J.; CASTELÁN-ORTEGA, O. A.; VÁZQUEZ-CARRILLO, M. F.; BENAOUDA, M.; GÓMEZ-BRAVO, C. A.; BOLOVICH, V. I. A.; CÉSPEDES, M. A. D.; ASTIGARRAGA, L.; HRISTOV, A. N. Enteric methane mitigation strategies for ruminant livestock systems in the Latin America and Caribbean region: a meta-analysis. Journal of Cleaner Production, v.312, 127693, 2021 13 p.| Biblioteca(s): Embrapa Gado de Leite; Embrapa Pecuária Sudeste. |
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| Registros recuperados : 315 | |
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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 |
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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. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
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001 2148394
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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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