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Registros recuperados : 612 | |
166. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | MASCHIO, W.; VEZZANI, F. M.; BROWN, G. G. Earthworm populations in Eucalyptus spp plantation at Embrapa Forestry, Brazil (Oligochaeta). In: PAVLÍCEK, T.; CARDET, P.; ALMEIDA, M. T.; PASCOAL, C.; CÁSSIO, F. (Ed.). Advances in earthworm taxonomy VI (Annelida: Oligochaeta). Heidelberg: Kasparek Verlag, 2014. p. 114-126. Presented at the 6th International Oligochaete Taxonomy Meeting, Palmeira de Faro, Portugal, 2013. Biblioteca(s): Embrapa Florestas. |
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167. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | KORASAKI, V.; BROWN, G. G.; PASINI, A.; LOPES, J. Earthworm populations in three Atlantic Rainforest fragments with different disturbance levels near Londrina, Paraná, Brazil. In: International Symposium on Earthworm Ecology, 8., 2006, Kraków. Abstracts... Kraków: Jagiellonian University, 2006. p. 74. Biblioteca(s): Embrapa Soja. |
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168. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | BARTZ, M. L. C.; PASINI, A.; BROWN, G. G. Earthworm richness, abundance and biomass in different land use systems in northern Paraná, Brazil (Oligochaeta). In: PAVLÍCEK, T.; CARDET, P.; ALMEIDA, M. T.; PASCOAL, C.; CÁSSIO, F. (Ed.). Advances in earthworm taxonomy VI (Annelida: Oligochaeta). Heidelberg: Kasparek Verlag, 2014. p. 59-73. Presented at the 6th International Oligochaete Taxonomy Meeting, Palmeira de Faro, Portugal, 2013. Biblioteca(s): Embrapa Florestas. |
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170. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | BARTZ, M. L. C.; PASINI, A.; BROWN, G. G. Earthworms from Mato Grosso, Brazil, and new records of species from the state. Pesquisa Agropecuária Brasileira, Brasilia, DF, v. 44, n. 8, p. 934-939, ago. 2009. Biblioteca(s): Embrapa Agricultura Digital; Embrapa Florestas; Embrapa Unidades Centrais. |
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173. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | NIVA, C. C.; SCHMELZ, R. M.; BROWN, G. G. Notes on the reproduction, fragmentation and regeneration of Enchytraeus dudichi Dózsa-Farkas, 1995 sensu lato (Enchytraeidae, Oligochaeta) found in Paraná State, Brazil. Landbauforschung, nesp. 357, p. 13-19, 2012. (Newsletter on Enchytraeidae, n. 12.). Peer reviewed article from the 9th International Symposium on Enchytraeidae, 2010, Braunschweig, Germany. Biblioteca(s): Embrapa Florestas. |
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Registros recuperados : 612 | |
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Registro Completo
Biblioteca(s): |
Embrapa Gado de Leite; Embrapa Pecuária Sudeste. |
Data corrente: |
16/09/2022 |
Data da última atualização: |
16/09/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
CONGIO, G. F. S.; BANNINK, A.; MAYORGA, O. L.; RODRIGUES, J. P. P.; BOUGOUIN, A.; KEBREAD, E.; SILVA, R. R.; MAURÍCIO, R. M.; SILVA, S. C. DA; OLIVEIRA, P. P. A.; MUÑOZ, C.; PEREIRA, L. G. R.; GÓMEZ, C.; ARIZA-NIETO, C.; RIBEIRO-FILHO, H. M. N.; CASTELÁN-ORTEGA, O. A.; ROSERO-NOGUERA, J. R.; TIERI, M. P.; RODRIGUES, P. H. M.; MARCONDES, M. I.; ASTIGARRAGA, L.; ABARCA, S.; HRISTOV, A. N. |
Afiliação: |
GUILHERMO F. S. CONGIO, UNIVERSIDADE DE SÃO PAULO; ANDRÉ BANNINK, WAGENINGEN UNIVERSITY & RESEARCH; OLGA L. MAYORGA, COLOMBIAN CORPORATION FOR AGRICULTURAL RESEARCH; JOÃO P. P. RODRIGUES, UNIVERSIDADE FEDERAL DO SUL E SUDESTE DO PARÁ; ADELINE BOUGOUIN, UNIVERSITY OF CALIFORNIA; ERMIAS KEBREAD, UNIVERSITY OF CALIFORNIA; RICARDO R. SILVA, UNIVERSIDADE FEDERAL DE MINAS GERAIS; ROGÉRIO M. MAURÍCIO, UNIVERSIDADE FEDERAL DE SÃO JOÃO DEL REI; SILA C. DA SILVA, UNIVERSIDADE DE SÃO PAULO; PATRICIA PERONDI ANCHAO OLIVEIRA, CPPSE; CAMILA MUÑOZ, INSTITUTO DE INVESTIGACIONES AGROPECUARIAS; LUIZ GUSTAVO RIBEIRO PEREIRA, CNPGL; CARLOS GÓMEZ, NATIONAL AGRARIAN UNIVERSITY LA MOLINA; CLAUDIA ARIZA-NIETO, COLOMBIAN CORPORATION FOR AGRICULTURAL RESEARCH; HENRIQUE M. N. RIBEIRO-FILHO, UNIVERSIDADE ESTADUAL DE SANTA CATARINA; OCTAVIO A. CASTELÁN-ORTEGA, AUTONOMOUS UNIVERSITY OF THE STATE OF MEXICO; JAIME R. ROSERO-NOGUERA, UNIVERSITY OF ANTIOQUIA; MARIA P. TIERI, NATIONAL INSTITUTE OF AGRICULTURAL TECHNOLOGY; PAULO H. M. RODRIGUES, UNIVERSIDADE DE SÃO PAULO; MARCOS I. MARCONDES, WASHINGTON STATE UNIVERSITY; LAURA ASTIGARRAGA, UNIVERSITY OF THE REPUBLIC OF URUGUAY; SERGIO ABARCA, NATIONAL INSTITUTE OF INNOVATION AND AGRICULTURAL TECHNOLOGY TRANSFER; ALEXANDER N. HRISTOV, THE PENNSYLVANIA STATE UNIVERSITY. |
Título: |
Prediction of enteric methane production and yield in dairy cattle using a Latin America and Caribbean database. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
Science of the Total Environment, v. 825, n. 153982, p. 1-11, 2022. |
ISBN: |
0048-9697 |
DOI: |
https://doi.org/10.1016/j.scitotenv.2022.153982 |
Idioma: |
Inglês |
Conteúdo: |
ABSTRACT: Successful mitigation efforts entail accurate estimation of on-farm emission and prediction models can be an alternative to current laborious and costly in vivo CH4 measurement techniques. This study aimed to: (1) collate a database of individual dairy cattle CH4 emission data from studies conducted in the Latin America and Caribbean (LAC) region; (2) identify key variables for predicting CH4 production (g d−1) and yield [g kg−1 of dry matter intake (DMI)]; (3) develop and cross-validate these newly-developed models; and (4) compare models' predictive ability with equations currently used to support national greenhouse gas (GHG) inventories. A total of 42 studies including 1327 individual dairy cattle records were collated. After removing outliers, the final database retained 34 studies and 610 animal records. Production and yield of CH4 were predicted by fitting mixed-effects models with a random effect of study. Evaluation of developed models and fourteen extant equations was assessed on all-data, confined, and grazing cows subsets. Feed intake was the most important predictor of CH4 production. Our best-developed CH4 production models outperformed Tier 2 equations from the Intergovernmental Panel on Climate Change (IPCC) in the all-data and grazing subsets, whereas they had similar performance for confined animals. Developed CH4 production models that include milk yield can be accurate and useful when feed intake is missing. Some extant equations had similar predictive performance to our best-developed models and can be an option for predicting CH4 production from LAC dairy cows. Extant equations were not accurate in predicting CH4 yield. The use of the newly-developed models rather than extant equations based on energy conversion factors, as applied by the IPCC, can substantially improve the accuracy of GHG inventories in LAC countries. MenosABSTRACT: Successful mitigation efforts entail accurate estimation of on-farm emission and prediction models can be an alternative to current laborious and costly in vivo CH4 measurement techniques. This study aimed to: (1) collate a database of individual dairy cattle CH4 emission data from studies conducted in the Latin America and Caribbean (LAC) region; (2) identify key variables for predicting CH4 production (g d−1) and yield [g kg−1 of dry matter intake (DMI)]; (3) develop and cross-validate these newly-developed models; and (4) compare models' predictive ability with equations currently used to support national greenhouse gas (GHG) inventories. A total of 42 studies including 1327 individual dairy cattle records were collated. After removing outliers, the final database retained 34 studies and 610 animal records. Production and yield of CH4 were predicted by fitting mixed-effects models with a random effect of study. Evaluation of developed models and fourteen extant equations was assessed on all-data, confined, and grazing cows subsets. Feed intake was the most important predictor of CH4 production. Our best-developed CH4 production models outperformed Tier 2 equations from the Intergovernmental Panel on Climate Change (IPCC) in the all-data and grazing subsets, whereas they had similar performance for confined animals. Developed CH4 production models that include milk yield can be accurate and useful when feed intake is missing. Some extant equations had... Mostrar Tudo |
Palavras-Chave: |
Empirical modeling; Enteric methane; Equação de previsão; GHG inventory; Inventário de GEE; Metano entérico; Modelagem empírica; Modelo linear; Prediction equations. |
Thesagro: |
Dieta; Gado Leiteiro; Metano; Produção; Rendimento. |
Thesaurus NAL: |
Diet; Linear models. |
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1146525/1/PredictionOfEntericMethaneProductionAndYieldInDairyCattleUsingALatinAmericaAndCaribbeanDatabase.pdf
|
Marc: |
LEADER 03612naa a2200601 a 4500 001 2146525 005 2022-09-16 008 2022 bl uuuu u00u1 u #d 022 $a0048-9697 024 7 $ahttps://doi.org/10.1016/j.scitotenv.2022.153982$2DOI 100 1 $aCONGIO, G. F. S. 245 $aPrediction of enteric methane production and yield in dairy cattle using a Latin America and Caribbean database.$h[electronic resource] 260 $c2022 520 $aABSTRACT: Successful mitigation efforts entail accurate estimation of on-farm emission and prediction models can be an alternative to current laborious and costly in vivo CH4 measurement techniques. This study aimed to: (1) collate a database of individual dairy cattle CH4 emission data from studies conducted in the Latin America and Caribbean (LAC) region; (2) identify key variables for predicting CH4 production (g d−1) and yield [g kg−1 of dry matter intake (DMI)]; (3) develop and cross-validate these newly-developed models; and (4) compare models' predictive ability with equations currently used to support national greenhouse gas (GHG) inventories. A total of 42 studies including 1327 individual dairy cattle records were collated. After removing outliers, the final database retained 34 studies and 610 animal records. Production and yield of CH4 were predicted by fitting mixed-effects models with a random effect of study. Evaluation of developed models and fourteen extant equations was assessed on all-data, confined, and grazing cows subsets. Feed intake was the most important predictor of CH4 production. Our best-developed CH4 production models outperformed Tier 2 equations from the Intergovernmental Panel on Climate Change (IPCC) in the all-data and grazing subsets, whereas they had similar performance for confined animals. Developed CH4 production models that include milk yield can be accurate and useful when feed intake is missing. Some extant equations had similar predictive performance to our best-developed models and can be an option for predicting CH4 production from LAC dairy cows. Extant equations were not accurate in predicting CH4 yield. The use of the newly-developed models rather than extant equations based on energy conversion factors, as applied by the IPCC, can substantially improve the accuracy of GHG inventories in LAC countries. 650 $aDiet 650 $aLinear models 650 $aDieta 650 $aGado Leiteiro 650 $aMetano 650 $aProdução 650 $aRendimento 653 $aEmpirical modeling 653 $aEnteric methane 653 $aEquação de previsão 653 $aGHG inventory 653 $aInventário de GEE 653 $aMetano entérico 653 $aModelagem empírica 653 $aModelo linear 653 $aPrediction equations 700 1 $aBANNINK, A. 700 1 $aMAYORGA, O. L. 700 1 $aRODRIGUES, J. P. P. 700 1 $aBOUGOUIN, A. 700 1 $aKEBREAD, E. 700 1 $aSILVA, R. R. 700 1 $aMAURÍCIO, R. M. 700 1 $aSILVA, S. C. DA 700 1 $aOLIVEIRA, P. P. A. 700 1 $aMUÑOZ, C. 700 1 $aPEREIRA, L. G. R. 700 1 $aGÓMEZ, C. 700 1 $aARIZA-NIETO, C. 700 1 $aRIBEIRO-FILHO, H. M. N. 700 1 $aCASTELÁN-ORTEGA, O. A. 700 1 $aROSERO-NOGUERA, J. R. 700 1 $aTIERI, M. P. 700 1 $aRODRIGUES, P. H. M. 700 1 $aMARCONDES, M. I. 700 1 $aASTIGARRAGA, L. 700 1 $aABARCA, S. 700 1 $aHRISTOV, A. N. 773 $tScience of the Total Environment$gv. 825, n. 153982, p. 1-11, 2022.
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Embrapa Pecuária Sudeste (CPPSE) |
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