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Registro Completo |
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Biblioteca(s): |
Embrapa Agrobiologia; Embrapa Arroz e Feijão; Embrapa Gado de Corte; Embrapa Milho e Sorgo; Embrapa Pecuária Sul. |
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Data corrente: |
11/12/2023 |
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Data da última atualização: |
11/12/2023 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
FREITAS, A. C. R. de; ALMEIDA, R. G. de; MACEDO, M. C. M.; SANTOS, F. C. dos; ALBUQUERQUE FILHO, M. R. de; SILVEIRA, M. C. T.; ALVES, B. J. R.; MADARI, B. E. |
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Afiliação: |
ANTONIO CARLOS REIS DE FREITAS, CPACP; ROBERTO GIOLO DE ALMEIDA, CNPGC; MANUEL CLAUDIO MOTTA MACEDO, CNPGC; FLAVIA CRISTINA DOS SANTOS, CNPMS; MANOEL RICARDO DE ALBUQUERQUE FILHO, CNPMS; MÁRCIA CRISTINA TEIXEIRA DA SILVEIRA, CPPSUL; BRUNO JOSE RODRIGUES ALVES, CNPAB; BEATA EMOKE MADARI, CNPAF. |
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Título: |
Carbon footprint in integrated systems in the Brazilian Cerrado. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
In: INTERNATIONAL SYMPOSIUM ON INTEGRATED CROP-LIVESTOCK SYSTEMS, 4., CONGRESSO BRASILEIRO DE SISTEMAS INTEGRADOS DE PRODUÇÃO AGROPECUÁRIA, 3., ENCONTRO DE SISTEMAS INTEGRADOS DE PRODUÇÃO AGROPECUÁRIA NO SUL DO BRASIL, 7., Bento Gonçalves, 2023. Anais... |
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Idioma: |
Inglês |
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Notas: |
IV ICLS. |
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Conteúdo: |
ABSTRACT - The prediction of soil organic carbon (SOC) stocks, enteric emissions and beef production is required for planning of low-carbon management practices in livestock systems. The use of mechanistic modeling is well-suited for this purpose, but it still represents a knowledge gap in Brazil. The objective of this study was to investigate the use of the Manure-DNDC model to simulate SOC and to estimate the CO2eq emission intensity of beef produced at two sites in the Cerrado biome, which adopted crop-livestock integrated system. There was a good agreement between measured and estimated C stock data from both sites, suggesting a good performance of Manure-DNDC model. At the EMBRAPA site, the emission intensity for integrated crop-livestock (ICL) was 10 kgCO2eq.kgBeef-¹ , 10% higher than of integrated crop-livestock-forestry (ICLF22 and ICLF14) systems. At the TRIJUNCAO site, emission intensity was 9 kgCO2eq.kgBeef-¹ for Low Carbon Brazilian Beef (LCBB) system, which was similar with Management Farm (MF). The predictions of the Manure-DNDC model satisfactorily predicted GHG emissions and capture for the Cerrado condition, whose results pointed out to the potential of integrated systems to mitigate GHG emissions. |
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Thesagro: |
Carbono; Cerrado. |
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Thesaurus Nal: |
Carbon; Greenhouse gases; Soil organic carbon. |
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Categoria do assunto: |
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P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02207nam a2200265 a 4500
001 2159425
005 2023-12-11
008 2023 bl uuuu u00u1 u #d
100 1 $aFREITAS, A. C. R. de
245 $aCarbon footprint in integrated systems in the Brazilian Cerrado.$h[electronic resource]
260 $aIn: INTERNATIONAL SYMPOSIUM ON INTEGRATED CROP-LIVESTOCK SYSTEMS, 4., CONGRESSO BRASILEIRO DE SISTEMAS INTEGRADOS DE PRODUÇÃO AGROPECUÁRIA, 3., ENCONTRO DE SISTEMAS INTEGRADOS DE PRODUÇÃO AGROPECUÁRIA NO SUL DO BRASIL, 7., Bento Gonçalves, 2023. Anais...$c2023
500 $aIV ICLS.
520 $aABSTRACT - The prediction of soil organic carbon (SOC) stocks, enteric emissions and beef production is required for planning of low-carbon management practices in livestock systems. The use of mechanistic modeling is well-suited for this purpose, but it still represents a knowledge gap in Brazil. The objective of this study was to investigate the use of the Manure-DNDC model to simulate SOC and to estimate the CO2eq emission intensity of beef produced at two sites in the Cerrado biome, which adopted crop-livestock integrated system. There was a good agreement between measured and estimated C stock data from both sites, suggesting a good performance of Manure-DNDC model. At the EMBRAPA site, the emission intensity for integrated crop-livestock (ICL) was 10 kgCO2eq.kgBeef-¹ , 10% higher than of integrated crop-livestock-forestry (ICLF22 and ICLF14) systems. At the TRIJUNCAO site, emission intensity was 9 kgCO2eq.kgBeef-¹ for Low Carbon Brazilian Beef (LCBB) system, which was similar with Management Farm (MF). The predictions of the Manure-DNDC model satisfactorily predicted GHG emissions and capture for the Cerrado condition, whose results pointed out to the potential of integrated systems to mitigate GHG emissions.
650 $aCarbon
650 $aGreenhouse gases
650 $aSoil organic carbon
650 $aCarbono
650 $aCerrado
700 1 $aALMEIDA, R. G. de
700 1 $aMACEDO, M. C. M.
700 1 $aSANTOS, F. C. dos
700 1 $aALBUQUERQUE FILHO, M. R. de
700 1 $aSILVEIRA, M. C. T.
700 1 $aALVES, B. J. R.
700 1 $aMADARI, B. E.
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Registro original: |
Embrapa Gado de Corte (CNPGC) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Instrumentação. Para informações adicionais entre em contato com cnpdia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Instrumentação. |
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Data corrente: |
11/08/2020 |
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Data da última atualização: |
11/08/2020 |
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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: |
TAVARES, K. M.; CAMPOS, A.; LUCHESI, B. R.; RESENDE, A. A.; OLIVEIRA, J. E.; MARCONCINI, J. M. |
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Afiliação: |
JOSE MANOEL MARCONCINI, CNPDIA. |
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Título: |
Effect of carboxymethyl cellulose concentration on mechanical and water vapor barrier properties of corn starch films. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Carbohydrate Polymers, v. 246, a. 116521, 2020. |
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Páginas: |
1 - 10 |
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ISSN: |
014-8617 |
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DOI: |
https://doi.org/10.1016/j.carbpol.2020.116521 |
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Idioma: |
Inglês |
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Palavras-Chave: |
Biodegradable film; Polymer blends; Water vapor permeability. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00773naa a2200241 a 4500
001 2124286
005 2020-08-11
008 2020 bl uuuu u00u1 u #d
022 $a014-8617
024 7 $ahttps://doi.org/10.1016/j.carbpol.2020.116521$2DOI
100 1 $aTAVARES, K. M.
245 $aEffect of carboxymethyl cellulose concentration on mechanical and water vapor barrier properties of corn starch films.$h[electronic resource]
260 $c2020
300 $a1 - 10
653 $aBiodegradable film
653 $aPolymer blends
653 $aWater vapor permeability
700 1 $aCAMPOS, A.
700 1 $aLUCHESI, B. R.
700 1 $aRESENDE, A. A.
700 1 $aOLIVEIRA, J. E.
700 1 $aMARCONCINI, J. M.
773 $tCarbohydrate Polymers$gv. 246, a. 116521, 2020.
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Embrapa Instrumentação (CNPDIA) |
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