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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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Embrapa Agricultura Digital (CNPTIA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agroindústria de Alimentos; Embrapa Alimentos e Territórios; Embrapa Arroz e Feijão. |
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Data corrente: |
13/11/2023 |
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Data da última atualização: |
13/11/2023 |
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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: |
OLIVEIRA, M. E. A. S.; LIMA, L. R. da S.; SANTOS, M. C. B.; SALES, N. F. F. de; FERREIRA, R. M.; CAMERON, L. C.; COLOMBARI FILHO, J. M.; BASSINELLO, P. Z.; CARVALHO, C. W. P. de; FERREIRA, M. S. L.; TAKEITI, C. Y. |
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Afiliação: |
MARIA EUGENIA ARAUJO SILVA OLIVEIRA, UNIRIO; LUCIANA RIBEIRO DA SILVA LIMA, UNIRIO; MILENA CRISTINA BARROS SANTOS, UNIRIO; NATHALIA FERRARI FONSECA DE SALES, UNIRIO; RENATA MARENDA FERREIRA, UNIRIO; LUIZ CLAUDIO CAMERON, UNIRIO; JOSE MANOEL COLOMBARI FILHO, CNPAF; PRISCILA ZACZUK BASSINELLO, CNAT; CARLOS WANDERLEI PILER DE CARVALHO, CTAA; MARIANA SIMÕES LARRAZ FERREIRA, UNIRIO; CRISTINA YOSHIE TAKEITI, CTAA. |
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Título: |
Role of short germination and milling on physical properties, amino acid and metabolomic profiles of high amylose rice fractions. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Food Research International, v. 174, 113556, 2023. |
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ISSN: |
0963-9969 |
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DOI: |
https://doi.org/10.1016/j.foodres.2023.113556 |
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Idioma: |
Inglês |
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Conteúdo: |
Short germination is a process that can improve bioactive compounds in rice. This work aimed investigate the physical properties, phenolic compounds (PC), antioxidant activity and amino acids composition of husk + bran, brown and milled rice with high amylose content after short germination (16 h). α-amylase activity (Falling Number, FN) and enthalpy (AH) were unchanged (p < 0.05). RVA curve profiles were similar, even though after short germination and milling. Globally, metabolomics analysis identified 117 PC, in which 111 (bound), 104 (free) and 21 revealed in both extracts. p-Coumaric, trans-ferulic and ferulic acids were the most abundant PC revealed in all fractions. The portion husk + bran showed the highest level of total antioxidant activity (709.90 umol TE) in both free and bound fractions. In terms of total amino acids, there was no statistical difference (p <0.05) among non-germinated and germinated samples, contrary to free amino acids content. Glutamic acid (Glu) presented the highest values combining short germination and milling (1725?1900 mg/100 g) consequently, leads to higher value of GABA (12.21 mg/100 g). The combination of short germination and milling demonstrated a good strategy to improve the nutritional quality of rice, unless the thermal and pasting properties have been altered, contribute to potential health benefits on human nutrition. |
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Palavras-Chave: |
HPLC; LC-MS-MS; Short germination. |
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Thesagro: |
Amilose; Aminoácido; Arroz; Composto Fenólico; Germinação; Oryza Sativa; Propriedade Físico-Química. |
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Thesaurus NAL: |
Germination; Milling; Phenolic compounds; Rice. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal
Q Alimentos e Nutrição Humana |
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Marc: |
LEADER 02660naa a2200433 a 4500
001 2158273
005 2023-11-13
008 2023 bl uuuu u00u1 u #d
022 $a0963-9969
024 7 $ahttps://doi.org/10.1016/j.foodres.2023.113556$2DOI
100 1 $aOLIVEIRA, M. E. A. S.
245 $aRole of short germination and milling on physical properties, amino acid and metabolomic profiles of high amylose rice fractions.$h[electronic resource]
260 $c2023
520 $aShort germination is a process that can improve bioactive compounds in rice. This work aimed investigate the physical properties, phenolic compounds (PC), antioxidant activity and amino acids composition of husk + bran, brown and milled rice with high amylose content after short germination (16 h). α-amylase activity (Falling Number, FN) and enthalpy (AH) were unchanged (p < 0.05). RVA curve profiles were similar, even though after short germination and milling. Globally, metabolomics analysis identified 117 PC, in which 111 (bound), 104 (free) and 21 revealed in both extracts. p-Coumaric, trans-ferulic and ferulic acids were the most abundant PC revealed in all fractions. The portion husk + bran showed the highest level of total antioxidant activity (709.90 umol TE) in both free and bound fractions. In terms of total amino acids, there was no statistical difference (p <0.05) among non-germinated and germinated samples, contrary to free amino acids content. Glutamic acid (Glu) presented the highest values combining short germination and milling (1725?1900 mg/100 g) consequently, leads to higher value of GABA (12.21 mg/100 g). The combination of short germination and milling demonstrated a good strategy to improve the nutritional quality of rice, unless the thermal and pasting properties have been altered, contribute to potential health benefits on human nutrition.
650 $aGermination
650 $aMilling
650 $aPhenolic compounds
650 $aRice
650 $aAmilose
650 $aAminoácido
650 $aArroz
650 $aComposto Fenólico
650 $aGerminação
650 $aOryza Sativa
650 $aPropriedade Físico-Química
653 $aHPLC
653 $aLC-MS-MS
653 $aShort germination
700 1 $aLIMA, L. R. da S.
700 1 $aSANTOS, M. C. B.
700 1 $aSALES, N. F. F. de
700 1 $aFERREIRA, R. M.
700 1 $aCAMERON, L. C.
700 1 $aCOLOMBARI FILHO, J. M.
700 1 $aBASSINELLO, P. Z.
700 1 $aCARVALHO, C. W. P. de
700 1 $aFERREIRA, M. S. L.
700 1 $aTAKEITI, C. Y.
773 $tFood Research International$gv. 174, 113556, 2023.
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