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Registro Completo |
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Biblioteca(s): |
Embrapa Pecuária Sul. |
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Data corrente: |
14/11/2017 |
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Data da última atualização: |
14/11/2017 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
SOARES, S. M.; GASPAR, E. B.; SUÑÉ, R. W.; VIEIRA, M. I. B.; MINHO, A. P. |
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Afiliação: |
Suelen Mendonça Soares, UPF; EMANUELLE BALDO GASPAR, CPPSUL; RENATA WOLF SUNE MARTINS DA SILVA, CPPSUL; Maria Isabel Botelho Vieira, UPF; ALESSANDRO PELEGRINE MINHO, CPPSUL. |
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Título: |
Correlação entre testes laboratoriais e a campo para detecção de mastite subclínica em rebanhos leiteiros. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Anais do Salão Internacional de Ensino, Pesquisa e Extensão, Bagé, v. 8, n. 4, 2016. |
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Idioma: |
Português |
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Conteúdo: |
Levando em consideração a importância da mastite subclínica e do seu diagnóstico, o objetivo deste trabalho foi avaliar a correlação entre os testes mais utilizados para a detecção desta enfermidade em um rebanho leiteiro. |
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Thesagro: |
Gado leiteiro; Mamite. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/166694/1/Mastite-CMT-CCS.pdf
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Marc: |
LEADER 00829nam a2200181 a 4500
001 2079681
005 2017-11-14
008 2016 bl uuuu u00u1 u #d
100 1 $aSOARES, S. M.
245 $aCorrelação entre testes laboratoriais e a campo para detecção de mastite subclínica em rebanhos leiteiros.$h[electronic resource]
260 $aAnais do Salão Internacional de Ensino, Pesquisa e Extensão, Bagé, v. 8, n. 4$c2016
520 $aLevando em consideração a importância da mastite subclínica e do seu diagnóstico, o objetivo deste trabalho foi avaliar a correlação entre os testes mais utilizados para a detecção desta enfermidade em um rebanho leiteiro.
650 $aGado leiteiro
650 $aMamite
700 1 $aGASPAR, E. B.
700 1 $aSUÑÉ, R. W.
700 1 $aVIEIRA, M. I. B.
700 1 $aMINHO, A. P.
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Embrapa Pecuária Sul (CPPSUL) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
26/01/2017 |
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Data da última atualização: |
21/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
SILVA, R. de O. S.; BARIONI, L. G.; HALL, J. A. J.; MATSUURA, M. I. da S. F.; ZANETTI, T. A.; FERNANDES, F. A.; MORAN, D. |
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Afiliação: |
RAFAEL DE OLIVEIRA SILVA, School of Mathematics, The University of Edinburgh; LUIS GUSTAVO BARIONI, CNPTIA; JULIAN A. J. HALL, School of Mathematics, The University of Edinburgh; MARILIA IEDA DA S F MATSUURA, CNPMA; T. ALBERTINI ZANETTI, Esalq/USP; FERNANDO ANTONIO FERNANDES, CPAP; DOMINIC MORAN, Research Division, SRUC. |
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Título: |
Emissions mitigation by sustainable intensification in Brazilian livestock production. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: GLOBAL SCIENCE CONFERENCE ON CLIMATE-SMART AGRICULTURE, 2015, Montpellier. Food security adaptation mitigation: Parallel session L2: climate-smart strategies. Paris: CSA-Cirad, 2015. |
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Páginas: |
p. 249. |
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Idioma: |
Inglês |
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Conteúdo: |
Reduced global meat consumption coupled with improved production efficiency is increasingly advanced as part of a sustainable agricultural intensification agenda to reduce harmful external costs, particularly direct and indirect greenhouse gas emissions. We show that depending on spatial and temporal factors, reduced consumption may not offer the anticipated emission reductions. Ruminant livestock is specifically implicated as a major cause of agricultural externalities in terms of greenhouse gas (GHG) emissions: direct (CH4 and N2O) and indirect (CO2 from land use change). However a counter-argument suggests that grass-fed beef systems can have significantly lower emissions when accounting for atmospheric CO2 uptake by deep-root grasses promoting soil carbon storage. We analyse the sensitivity of total GHG emissions in response to demand variations. The analysis employs a bottom-up linear programming model that simulates beef production, subject to demand and pasture area scenarios. The model optimises resources allocation, including the adjustment of pasture intensification levels according to bioeconomic parameters and estimates GHG emissions - including changes in soil organic carbon stocks. Focusing on the Brazilian Cerrado, we develop scenarios that show emissions actually increasing as a result of reduced demand, which increases the likelihood of carbon release from degraded pastures. Our results show if demand is reduced by 10%, 20% or 30% relative to baseline projections by 2030, emissions increase by 4%, 7% and 12%, respectively. But if demand increases 10%, 20% or 30% by 2030, emissions decrease by 5%, 8% and 13%, respectively. Increasing production to meet demand provides an incentive for pasture intensification through restoration practices (combined pasture improvement and/or feedlot finishing), and the resulting emission reductions offset those from increased animal numbers. The findings are a caveat to calls for reduced meat consumption and are a potential model for the management of other savannahs MenosReduced global meat consumption coupled with improved production efficiency is increasingly advanced as part of a sustainable agricultural intensification agenda to reduce harmful external costs, particularly direct and indirect greenhouse gas emissions. We show that depending on spatial and temporal factors, reduced consumption may not offer the anticipated emission reductions. Ruminant livestock is specifically implicated as a major cause of agricultural externalities in terms of greenhouse gas (GHG) emissions: direct (CH4 and N2O) and indirect (CO2 from land use change). However a counter-argument suggests that grass-fed beef systems can have significantly lower emissions when accounting for atmospheric CO2 uptake by deep-root grasses promoting soil carbon storage. We analyse the sensitivity of total GHG emissions in response to demand variations. The analysis employs a bottom-up linear programming model that simulates beef production, subject to demand and pasture area scenarios. The model optimises resources allocation, including the adjustment of pasture intensification levels according to bioeconomic parameters and estimates GHG emissions - including changes in soil organic carbon stocks. Focusing on the Brazilian Cerrado, we develop scenarios that show emissions actually increasing as a result of reduced demand, which increases the likelihood of carbon release from degraded pastures. Our results show if demand is reduced by 10%, 20% or 30% relative to baseline projec... Mostrar Tudo |
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Palavras-Chave: |
Mitigação de emissão de gases; Mitigation. |
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Thesaurus NAL: |
Gas emissions. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02875nam a2200229 a 4500
001 2061856
005 2020-01-21
008 2015 bl uuuu u01u1 u #d
100 1 $aSILVA, R. de O. S.
245 $aEmissions mitigation by sustainable intensification in Brazilian livestock production.$h[electronic resource]
260 $aIn: GLOBAL SCIENCE CONFERENCE ON CLIMATE-SMART AGRICULTURE, 2015, Montpellier. Food security adaptation mitigation: Parallel session L2: climate-smart strategies. Paris: CSA-Cirad$c2015
300 $ap. 249.
520 $aReduced global meat consumption coupled with improved production efficiency is increasingly advanced as part of a sustainable agricultural intensification agenda to reduce harmful external costs, particularly direct and indirect greenhouse gas emissions. We show that depending on spatial and temporal factors, reduced consumption may not offer the anticipated emission reductions. Ruminant livestock is specifically implicated as a major cause of agricultural externalities in terms of greenhouse gas (GHG) emissions: direct (CH4 and N2O) and indirect (CO2 from land use change). However a counter-argument suggests that grass-fed beef systems can have significantly lower emissions when accounting for atmospheric CO2 uptake by deep-root grasses promoting soil carbon storage. We analyse the sensitivity of total GHG emissions in response to demand variations. The analysis employs a bottom-up linear programming model that simulates beef production, subject to demand and pasture area scenarios. The model optimises resources allocation, including the adjustment of pasture intensification levels according to bioeconomic parameters and estimates GHG emissions - including changes in soil organic carbon stocks. Focusing on the Brazilian Cerrado, we develop scenarios that show emissions actually increasing as a result of reduced demand, which increases the likelihood of carbon release from degraded pastures. Our results show if demand is reduced by 10%, 20% or 30% relative to baseline projections by 2030, emissions increase by 4%, 7% and 12%, respectively. But if demand increases 10%, 20% or 30% by 2030, emissions decrease by 5%, 8% and 13%, respectively. Increasing production to meet demand provides an incentive for pasture intensification through restoration practices (combined pasture improvement and/or feedlot finishing), and the resulting emission reductions offset those from increased animal numbers. The findings are a caveat to calls for reduced meat consumption and are a potential model for the management of other savannahs
650 $aGas emissions
653 $aMitigação de emissão de gases
653 $aMitigation
700 1 $aBARIONI, L. G.
700 1 $aHALL, J. A. J.
700 1 $aMATSUURA, M. I. da S. F.
700 1 $aZANETTI, T. A.
700 1 $aFERNANDES, F. A.
700 1 $aMORAN, D.
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