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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. |
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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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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: |
LEADER 03486naa a2200565 a 4500
001 2148394
005 2022-11-29
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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Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
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| Registros recuperados : 35 | |
| 4. |  | PÍPOLO, A. E.; SINCLAIR, T. R.; CÂMARA, G. M. S. Effect of temperature on protein and oil concentrations in soybean (Glycine max (L.) Merr.) in field conditions. In: WORLD SOYBEAN RESEARCH CONFERENCE, 7.; INTERNATIONAL SOYBEAN PROCESSING AND UTILIZATION CONFERENCE, 4.; CONGRESSO BRASILEIRO DE SOJA, 3., 2004, Foz do Iguassu. Abstracts of contributed papers and posters. Londrina: Embrapa Soybean, 2004. p. 327. (Embrapa Soja. Documentos, 228). Editado por Flávio Moscardi, Clara Beatriz Hoffmann-Campo, Odilon Ferreira Saraiva, Paulo Roberto Galerani, Francisco Carlos Krzyzanowski, Mercedes Concordia Carrão-Panizzi.| Biblioteca(s): Embrapa Soja. |
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| 8. | | MEIRELLES, M. S. P.; MOREIRA, F. R.; CAMARA, G. Técnicas de inferência espacial. In: MEIRELLES, M. S. P.; CAMARA, G.; ALMEIDA, C. M. de (Ed.). Geomática: modelos e aplicações ambientais. Brasília, DF: Embrapa Informação Tecnológica; Rio de Janeiro: Embrapa Solos, 2007. cap. 3.| Tipo: Capítulo em Livro Técnico-Científico | Circulação/Nível: -- - -- |
| Biblioteca(s): Embrapa Solos. |
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| 10. | | MANZIONE, R. L.; DRUCK, S.; CÂMARA, G.; MONTEIRO, A. M. V. Modelagem de incertezas na análise espaço-temporal dos níveis freáticos em uma bacia hidrográfica. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 42, n. 1, p. 25-34, jan. 2007.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: Internacional - A |
| Biblioteca(s): Embrapa Cerrados; Embrapa Unidades Centrais. |
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| 11. | | MACEDO, M. A. de; ASSAD, E. D.; CÂMARA, G.; OLIVEIRA, J. C. de; BARBOSA, A. M. Avaliação de métodos para espacialização de índices de necessidade hídrica das culturas e sua aplicação em zoneamento agrícola. Revista Brasileira de Agrometeorologia, Passo Fundo, v. 9, n. 3, p. 581-587, 2001.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Cerrados. |
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| 13. | | MACEDO, M. A. de; OLIVEIRA, J. C. de; BARBOSA, A. M.; CAMARA, G.; ASSAD, E. D. Analise comparativa da espacializacao do risco climatico pela media ponderada, krigeagem ordinaria e krigeagem por indicacao. In: SIMPOSIO BRASILEIRO DE SENSORIAMENTO REMOTO- SBSR, 10., 2001, Foz do Iguacu. [Anais...]. [S.l.]: SELPER: INPE, 2001?| Biblioteca(s): Embrapa Cerrados. |
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| 17. | | MEIRELLES, M. S. P.; MOREIRA, F. R.; CAMARA, G; COELHO NETTO, A. L.; CARNEIRO, T. A. de A. Métodos de inferência geográfica: aplicação no planejamento regional, na avaliação ambiental e na pesquisa mineral. In: MEIRELLES, M. S. P.; CAMARA, G.; ALMEIDA, C. M. de (Ed.). Geomática: modelos e aplicações ambientais. Brasília, DF: Embrapa Informação Tecnológica; Rio de Janeiro: Embrapa Solos, 2007. cap. 6.| Tipo: Capítulo em Livro Técnico-Científico | Circulação/Nível: -- - -- |
| Biblioteca(s): Embrapa Solos. |
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| 19. | | BATTISTI, R.; SENTELHAS, P. C.; BOOTE, K. J.; CÂMARA, G. M. de S.; FARIAS, J. R. B.; BASSO, C. J. Assessment of yield with altered soybean traits for drought tolerance in southern Brazil. In: CONGRESSO BRASILEIRO DE SOJA, 7.; MERCOSOJA, 2015, Florianópolis. Tecnologia e mercado global: perspectivas para soja: anais. Londrina: Embrapa Soja, 2015. 3 p. 1 CD-ROM.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Soja. |
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| 20. | | SENTELHAS, P. C.; BATTISTI, R.; CÂMARA, G. M. S.; FARIAS, J. R. B.; HAMPF, A. C.; NENDEL, C. The soybean yield gap in Brazil - magnitude, causes and possible solutions for sustainable production. Journal of Agricultural Science, v. 153, n. 8. p. 1394-1411, Nov. 2015.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Soja. |
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| Registros recuperados : 35 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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