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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
08/02/2013 |
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Data da última atualização: |
05/03/2013 |
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Tipo da produção científica: |
Monitoramento/Zoneamento |
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Autoria: |
SIQUEIRA, K. B.; ZOCCAL, R. (coord.). |
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Afiliação: |
KENNYA BEATRIZ SIQUEIRA, CNPGL; ROSANGELA ZOCCAL, CNPGL. |
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Título: |
PANORAMA DO LEITE. Boletim Eletrônico Mensal, v. 6, n. 68, 2012. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Juiz de Fora: Embrapa Gado de Leite, jul. 2012. |
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Idioma: |
Português |
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Palavras-Chave: |
Conjuntura; Leite e derivados. |
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Thesagro: |
Custo de Produção. |
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Categoria do assunto: |
E Economia e Indústria Agrícola |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/76274/1/2012-04-PanoramaLeite.pdf
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Marc: |
LEADER 00430nam a2200145 a 4500
001 1948904
005 2013-03-05
008 2012 bl uuuu u00u1 u #d
100 1 $aSIQUEIRA, K. B.
245 $aPANORAMA DO LEITE. Boletim Eletrônico Mensal, v. 6, n. 68, 2012.
260 $aJuiz de Fora: Embrapa Gado de Leite, jul. 2012.$c2012
650 $aCusto de Produção
653 $aConjuntura
653 $aLeite e derivados
700 1 $aZOCCAL, R.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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Biblioteca |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Cerrados. |
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Data corrente: |
23/02/2017 |
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Data da última atualização: |
26/01/2018 |
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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: |
SILVA, R. de O.; BARIONI, L. G.; HALL, J. A. J; MORETTI, A. C.; VELOSO, R. F.; ALEXANDER, P.; CRESPOLINI, M.; MORAN, D. |
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Afiliação: |
RAFAEL DE OLIVEIRA SILVA, SRUC; LUIS GUSTAVO BARIONI, CNPTIA; J. A. JULIAN HAL, University of Edinburgh; ANTONIO CARLOS MORETTI, Unicamp; RUI FONSECA VELOSO, CPAC; PETER ALEXANDER, SRUC; MARIANE CRESPOLINI, Unicamp; DOMINIC MORAN, University of York. |
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Título: |
Sustainable intensification of Brazilian livestock production through optimized pasture restoration. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Agricultural Systems, v. 153, p. 201-211, 2017. |
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DOI: |
https://doi.org/10.1016/j.agsy.2017.02.001 |
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Idioma: |
Inglês
Português |
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Conteúdo: |
Grassland degradation compromises the profitability of Brazilian livestock production, and pasture recovery is a promising strategy for sustainable intensification of agriculture (SAI). Recovery increases carbon sequestration into the soil and can potentially avoid deforestation; thereby reducing emissions intensity (EI), but only at increased investment cost per unit of area. We develop a multi-period linear programming (LP) model for grazing beef production planning to represent a typical Cerrado stocking and finishing beef farm. We compare economic and environmental performance of two alternative optimized pasture management approaches relative to the traditional practice (TRP), which is based on restoring pasture after a full degradation cycle of 8 years. The scenarios considered the difference made by access to subsidized credit through the Low Carbon Agriculture program (?Programa ABC?). The model estimates EI using upstream life cycle assessment (LCA), and dynamically estimates soil organic carbon (SOC) changes as a function of pasture management. The results show net present values (NPV) ranging from − 67 Brazilian reals per hectare-year (R$·ha− 1·yr− 1) to around 300 R$·ha− 1·yr− 1, respectively for traditional and optimized pasture management strategies. Estimated EI of the TRP is 9.26 kg CO2 equivalent per kg of carcass weight equivalent (kg CO2e/kg CWE) relative to 3.59 kg CO2e/kg CWE for optimized management. Highest emission abatement results from improved SOC sequestration, while access to credit could further reduce EI by around 20%. We consider the effects of alternative credit interest on both NPV and EI. The results provide evidence to inform the design of Brazil's key domestic policy incentive for low carbon agriculture, which is an important component of the country's Intended Nationally Determined Contributions (INDC) on emissions mitigation. The results also contribute to the global debate on the interpretation of SAI. MenosGrassland degradation compromises the profitability of Brazilian livestock production, and pasture recovery is a promising strategy for sustainable intensification of agriculture (SAI). Recovery increases carbon sequestration into the soil and can potentially avoid deforestation; thereby reducing emissions intensity (EI), but only at increased investment cost per unit of area. We develop a multi-period linear programming (LP) model for grazing beef production planning to represent a typical Cerrado stocking and finishing beef farm. We compare economic and environmental performance of two alternative optimized pasture management approaches relative to the traditional practice (TRP), which is based on restoring pasture after a full degradation cycle of 8 years. The scenarios considered the difference made by access to subsidized credit through the Low Carbon Agriculture program (?Programa ABC?). The model estimates EI using upstream life cycle assessment (LCA), and dynamically estimates soil organic carbon (SOC) changes as a function of pasture management. The results show net present values (NPV) ranging from − 67 Brazilian reals per hectare-year (R$·ha− 1·yr− 1) to around 300 R$·ha− 1·yr− 1, respectively for traditional and optimized pasture management strategies. Estimated EI of the TRP is 9.26 kg CO2 equivalent per kg of carcass weight equivalent (kg CO2e/kg CWE) relative to 3.59 kg CO2e/kg CWE for optimized management. Highest emission abatem... Mostrar Tudo |
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Palavras-Chave: |
Carvão orgânico; Grassland Management. |
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Thesagro: |
Agricultura Sustentável; Pastagem; Programação Linear; Solo. |
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Thesaurus NAL: |
Linear programming; Soil organic carbon; sustainable agricultural intensification; Sustainable agriculture. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/171699/1/AP-Sustainable-Silva-Barioni-etal.pdf
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Marc: |
LEADER 03018naa a2200337 a 4500
001 2086414
005 2018-01-26
008 2017 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.agsy.2017.02.001$2DOI
100 1 $aSILVA, R. de O.
245 $aSustainable intensification of Brazilian livestock production through optimized pasture restoration.
260 $c2017
520 $aGrassland degradation compromises the profitability of Brazilian livestock production, and pasture recovery is a promising strategy for sustainable intensification of agriculture (SAI). Recovery increases carbon sequestration into the soil and can potentially avoid deforestation; thereby reducing emissions intensity (EI), but only at increased investment cost per unit of area. We develop a multi-period linear programming (LP) model for grazing beef production planning to represent a typical Cerrado stocking and finishing beef farm. We compare economic and environmental performance of two alternative optimized pasture management approaches relative to the traditional practice (TRP), which is based on restoring pasture after a full degradation cycle of 8 years. The scenarios considered the difference made by access to subsidized credit through the Low Carbon Agriculture program (?Programa ABC?). The model estimates EI using upstream life cycle assessment (LCA), and dynamically estimates soil organic carbon (SOC) changes as a function of pasture management. The results show net present values (NPV) ranging from − 67 Brazilian reals per hectare-year (R$·ha− 1·yr− 1) to around 300 R$·ha− 1·yr− 1, respectively for traditional and optimized pasture management strategies. Estimated EI of the TRP is 9.26 kg CO2 equivalent per kg of carcass weight equivalent (kg CO2e/kg CWE) relative to 3.59 kg CO2e/kg CWE for optimized management. Highest emission abatement results from improved SOC sequestration, while access to credit could further reduce EI by around 20%. We consider the effects of alternative credit interest on both NPV and EI. The results provide evidence to inform the design of Brazil's key domestic policy incentive for low carbon agriculture, which is an important component of the country's Intended Nationally Determined Contributions (INDC) on emissions mitigation. The results also contribute to the global debate on the interpretation of SAI.
650 $aLinear programming
650 $aSoil organic carbon
650 $asustainable agricultural intensification
650 $aSustainable agriculture
650 $aAgricultura Sustentável
650 $aPastagem
650 $aProgramação Linear
650 $aSolo
653 $aCarvão orgânico
653 $aGrassland Management
700 1 $aBARIONI, L. G.
700 1 $aHALL, J. A. J
700 1 $aMORETTI, A. C.
700 1 $aVELOSO, R. F.
700 1 $aALEXANDER, P.
700 1 $aCRESPOLINI, M.
700 1 $aMORAN, D.
773 $tAgricultural Systems$gv. 153, p. 201-211, 2017.
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Embrapa Agricultura Digital (CNPTIA) |
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