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Registro Completo |
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
26/06/2013 |
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Data da última atualização: |
26/06/2013 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
SCHIOCCHET, M. A.; NOLDIN, J. A.; ALFONSO-MOREL, D. |
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Afiliação: |
Epagri |
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Título: |
Identificação de defeitos e de arroz vermelho no arroz parboilizado em Santa Catarina. |
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Ano de publicação: |
1999 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE ARROZ IRRIGADO, 1.; REUNIÃO DA CULTURA DO ARROZ IRRIGADO, 23., 1999, Pelotas, RS. Anais... Pelotas, RS: Embrapa Clima Temperado, 1999. p. 643-646. |
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ISBN: |
85-85941-05-7 |
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Idioma: |
Português |
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Conteúdo: |
Identificação de defeitos e de arroz vermelho no arroz parboilizado em Santa Catarina. |
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Palavras-Chave: |
Classificação; Oryza sativa. |
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Categoria do assunto: |
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Marc: |
LEADER 00734naa a2200181 a 4500
001 1089686
005 2013-06-26
008 1999 bl uuuu u00u1 u #d
020 $a85-85941-05-7
100 1 $aSCHIOCCHET, M. A.
245 $aIdentificação de defeitos e de arroz vermelho no arroz parboilizado em Santa Catarina.
260 $c1999
520 $aIdentificação de defeitos e de arroz vermelho no arroz parboilizado em Santa Catarina.
653 $aClassificação
653 $aOryza sativa
700 1 $aNOLDIN, J. A.
700 1 $aALFONSO-MOREL, D.
773 $tIn: CONGRESSO BRASILEIRO DE ARROZ IRRIGADO, 1.; REUNIÃO DA CULTURA DO ARROZ IRRIGADO, 23., 1999, Pelotas, RS. Anais... Pelotas, RS: Embrapa Clima Temperado, 1999. p. 643-646.
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Epagri-Sede (Epagri-Sede) |
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
26/02/2015 |
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Data da última atualização: |
26/02/2015 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
Internacional - B |
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Autoria: |
LÉIS, C. M.; CHERUBINI, E.; RUVIARO, C. F.; SILVA JÚNIOR, V. P.; LAMPERT, V. N.; SPIES, A.; SOARES, S. R. |
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Título: |
Carbon footprint of milk production in Brazil: a comparative case study. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
The International Journal of Life Cycle Assessment, Berlim, v. 20, n. 1, p. 46-60, 2015. |
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Idioma: |
Inglês |
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Conteúdo: |
Purpose: Livestock production is a recognized source of environmental impact, and this sector indirectly involves approximately 5 million people in Brazil. Livestock production includes nearly 1.5 million milk producers that use several different production systems. We chose the southern region of Brazil to evaluate the carbon footprint (CF) per 1 kg of energy-corrected milk (ECM) at the farm gate for different dairy production systems with the use of a good level of technology.
Methods: The dairy production systems were confined feedlot system, semi-confined feedlot system (including some grazing), and pasture-based grazing system. A sensitivity analysis of the dry matter intake (DMI) in each farming system and an uncertainty analysis based on a Monte Carlo (MC) simulation were performed to complement the discussion. The standards ISO 14040: 2006 and ISO 14044: 2006 were used for the comparative life cycle assessment (LCA) focused on the CF. The LCA software tool SimaPro 7.3.3 was used. Sensitivity analyses were conducted on input data for total digestible nutrients (TDN) and crude protein (CP) based on values from the literature.
Results and discussion: The comparative LCA showed that the confined feedlot system had a lower CF than the other systems studied. Total greenhouse gas emissions were 0.535 kg CO2e kg ECM for the confined feedlot system, 0.778 kg CO2e kg ECM& for the semi-confined feedlot system, and 0.738 kg CO2e kg ECM for the pasture-based system without considering the impact from direct land use change (dLUC). When considering these emissions, the CFs for grain and cottonseed production showed CF increases of 45.0, 36.9, and 37.3 % for the confined feedlot, semi-confined feedlot, and pasture-based systems, respectively. The results from the MC simulations showed low uncertainty through variations in TDN and CP. The coefficient of variation was 1.1 % for the confined feedlot, 0.7 % for the semi-confined feedlot, and 1.0 % for the pasture systems.
Conclusions: The uncertainties were due mainly to variations in N2O emissions from manure for the three systems. The CF in Brazilian systems was lower than almost all the results found in the literature, even when impacts from the dLUC were considered. The lowest CF in this case study was due mainly to the emission factor used for enteric fermentation. MenosPurpose: Livestock production is a recognized source of environmental impact, and this sector indirectly involves approximately 5 million people in Brazil. Livestock production includes nearly 1.5 million milk producers that use several different production systems. We chose the southern region of Brazil to evaluate the carbon footprint (CF) per 1 kg of energy-corrected milk (ECM) at the farm gate for different dairy production systems with the use of a good level of technology.
Methods: The dairy production systems were confined feedlot system, semi-confined feedlot system (including some grazing), and pasture-based grazing system. A sensitivity analysis of the dry matter intake (DMI) in each farming system and an uncertainty analysis based on a Monte Carlo (MC) simulation were performed to complement the discussion. The standards ISO 14040: 2006 and ISO 14044: 2006 were used for the comparative life cycle assessment (LCA) focused on the CF. The LCA software tool SimaPro 7.3.3 was used. Sensitivity analyses were conducted on input data for total digestible nutrients (TDN) and crude protein (CP) based on values from the literature.
Results and discussion: The comparative LCA showed that the confined feedlot system had a lower CF than the other systems studied. Total greenhouse gas emissions were 0.535 kg CO2e kg ECM for the confined feedlot system, 0.778 kg CO2e kg ECM& for the semi-confined feedlot system, and 0.738 kg CO2e kg ECM for the pasture-based system without consid... Mostrar Tudo |
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Palavras-Chave: |
Brazilianmilk production; Carbon footprint; Confined feedlot system; Direct land use change; Life cycle assessment; Pasture system; Semi-confined feedlot system. |
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Categoria do assunto: |
Q Alimentos e Nutrição Humana |
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Marc: |
LEADER 03208naa a2200277 a 4500
001 1123145
005 2015-02-26
008 2015 bl uuuu u00u1 u #d
100 1 $aLÉIS, C. M.
245 $aCarbon footprint of milk production in Brazil$ba comparative case study.$h[electronic resource]
260 $c2015
520 $aPurpose: Livestock production is a recognized source of environmental impact, and this sector indirectly involves approximately 5 million people in Brazil. Livestock production includes nearly 1.5 million milk producers that use several different production systems. We chose the southern region of Brazil to evaluate the carbon footprint (CF) per 1 kg of energy-corrected milk (ECM) at the farm gate for different dairy production systems with the use of a good level of technology. Methods: The dairy production systems were confined feedlot system, semi-confined feedlot system (including some grazing), and pasture-based grazing system. A sensitivity analysis of the dry matter intake (DMI) in each farming system and an uncertainty analysis based on a Monte Carlo (MC) simulation were performed to complement the discussion. The standards ISO 14040: 2006 and ISO 14044: 2006 were used for the comparative life cycle assessment (LCA) focused on the CF. The LCA software tool SimaPro 7.3.3 was used. Sensitivity analyses were conducted on input data for total digestible nutrients (TDN) and crude protein (CP) based on values from the literature. Results and discussion: The comparative LCA showed that the confined feedlot system had a lower CF than the other systems studied. Total greenhouse gas emissions were 0.535 kg CO2e kg ECM for the confined feedlot system, 0.778 kg CO2e kg ECM& for the semi-confined feedlot system, and 0.738 kg CO2e kg ECM for the pasture-based system without considering the impact from direct land use change (dLUC). When considering these emissions, the CFs for grain and cottonseed production showed CF increases of 45.0, 36.9, and 37.3 % for the confined feedlot, semi-confined feedlot, and pasture-based systems, respectively. The results from the MC simulations showed low uncertainty through variations in TDN and CP. The coefficient of variation was 1.1 % for the confined feedlot, 0.7 % for the semi-confined feedlot, and 1.0 % for the pasture systems. Conclusions: The uncertainties were due mainly to variations in N2O emissions from manure for the three systems. The CF in Brazilian systems was lower than almost all the results found in the literature, even when impacts from the dLUC were considered. The lowest CF in this case study was due mainly to the emission factor used for enteric fermentation.
653 $aBrazilianmilk production
653 $aCarbon footprint
653 $aConfined feedlot system
653 $aDirect land use change
653 $aLife cycle assessment
653 $aPasture system
653 $aSemi-confined feedlot system
700 1 $aCHERUBINI, E.
700 1 $aRUVIARO, C. F.
700 1 $aSILVA JÚNIOR, V. P.
700 1 $aLAMPERT, V. N.
700 1 $aSPIES, A.
700 1 $aSOARES, S. R.
773 $tThe International Journal of Life Cycle Assessment, Berlim$gv. 20, n. 1, p. 46-60, 2015.
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