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Registro Completo |
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Biblioteca(s): |
Embrapa Uva e Vinho. |
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Data corrente: |
20/07/2016 |
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Data da última atualização: |
17/07/2019 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
SPEROTTO, J.; SILVA, G. A. da; AGUSTINI, B. C.; MORINI, M. A. L. |
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Afiliação: |
Julia Sperotto, Graduanda da Faculdade Cenecista de Bento Gonçalves, Rua Arlindo Franklin Barbosa, 460, São Roque, CEP 95700-000 Bento Gonçalves, RS. Estagiária da Embrapa Uva e Vinho. E-mail: julia.sperotto@colaborador.embrapa.br.; GILDO ALMEIDA DA SILVA, CNPUV; BRUNA CARLA AGUSTINI, CNPUV; MARIA ANTONIETA LUVISON MORINI, CNPUV. |
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Título: |
Caracterização de leveduras isoladas de uvas da cultivar Malbec de Campo Belo do Sul/SC da Safra de 2016 - Série MCBS16. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
In: ENCONTRO DE INICIAÇÃO CIENTÍFICA, 14. ENCONTRO DE PÓS-GRADUANDOS DA EMBRAPA UVA E VINHO, 10., 2016, Bento Gonçalves. Resumos...Bento Gonçalves, RS: Embrapa uva e Vinho, 2016. p. 52. |
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Idioma: |
Português |
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Notas: |
(Embrapa Uva e Vinho. Documentos, 99) |
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Conteúdo: |
A qualidade das leveduras que participam do processo fermentativo é de suma importância para se obter um vinho de qualidade. As leveduras atuam na transformação do açúcar do mosto em etanol. Esta funcionalidade e a velocidade de fermentação dependem, entre outros fatores, da linhagem utilizada. A espécie Saccharomyces cerevisiae se destaca por produzir os mais elevados teores de etanol. Tanto os gêneros Saccharomyces como os não-Saccharomyces possuem características únicas, podendo atribuir qualidades ou defeitos ao vinho. O objetivo deste trabalho foi avaliar o perfil de leveduras isoladas de bagas de uva Malbec de Campo Belo do Sul/SC. Foram isoladas 47 linhagens e caracterizadas quanto ao metabolismo fermentativo, produção de H₂S, capacidade de produção do fator killer e sensibilidade ou neutralidade ao fator killer. |
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Palavras-Chave: |
Anais; Campo Belo do Sul (SC); CNPUV; Cultivar malbec; IC; Iniciação cientifica; Levedura; Levedura isolada de uva; Processo fermentativo; Qualidade da levedura. |
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Thesagro: |
Fermento; Saccharomyces Cerevisiae; Uva; Vinho. |
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Categoria do assunto: |
A Sistemas de Cultivo |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/145605/1/Doc99-sperotto-p52.pdf
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Marc: |
LEADER 01972nam a2200325 a 4500
001 2049200
005 2019-07-17
008 2016 bl uuuu u00u1 u #d
100 1 $aSPEROTTO, J.
245 $aCaracterização de leveduras isoladas de uvas da cultivar Malbec de Campo Belo do Sul/SC da Safra de 2016 - Série MCBS16.$h[electronic resource]
260 $aIn: ENCONTRO DE INICIAÇÃO CIENTÍFICA, 14. ENCONTRO DE PÓS-GRADUANDOS DA EMBRAPA UVA E VINHO, 10., 2016, Bento Gonçalves. Resumos...Bento Gonçalves, RS: Embrapa uva e Vinho, 2016. p. 52.$c2016
500 $a(Embrapa Uva e Vinho. Documentos, 99)
520 $aA qualidade das leveduras que participam do processo fermentativo é de suma importância para se obter um vinho de qualidade. As leveduras atuam na transformação do açúcar do mosto em etanol. Esta funcionalidade e a velocidade de fermentação dependem, entre outros fatores, da linhagem utilizada. A espécie Saccharomyces cerevisiae se destaca por produzir os mais elevados teores de etanol. Tanto os gêneros Saccharomyces como os não-Saccharomyces possuem características únicas, podendo atribuir qualidades ou defeitos ao vinho. O objetivo deste trabalho foi avaliar o perfil de leveduras isoladas de bagas de uva Malbec de Campo Belo do Sul/SC. Foram isoladas 47 linhagens e caracterizadas quanto ao metabolismo fermentativo, produção de H₂S, capacidade de produção do fator killer e sensibilidade ou neutralidade ao fator killer.
650 $aFermento
650 $aSaccharomyces Cerevisiae
650 $aUva
650 $aVinho
653 $aAnais
653 $aCampo Belo do Sul (SC)
653 $aCNPUV
653 $aCultivar malbec
653 $aIC
653 $aIniciação cientifica
653 $aLevedura
653 $aLevedura isolada de uva
653 $aProcesso fermentativo
653 $aQualidade da levedura
700 1 $aSILVA, G. A. da
700 1 $aAGUSTINI, B. C.
700 1 $aMORINI, M. A. L.
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Registro original: |
Embrapa Uva e Vinho (CNPUV) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Meio Ambiente. Para informações adicionais entre em contato com cnpma.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
01/10/2020 |
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Data da última atualização: |
01/10/2020 |
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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: |
DONKE, A. C. G.; NOVAES, R. M. L.; PAZIANOTTO, R. A. A.; MORENO-RUIZ, E.; REINHARD, J.; PICOLI, J. F.; MATSUURA, M. I. da S. F. |
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Afiliação: |
ANA CRISTINA GUIMARÃES DONKE; RENAN MILAGRES LAGE NOVAES, CNPMA; RICARDO ANTONIO ALMEIDA PAZIANOTTO, CNPMA; EMILIA MORENO-RUIZ, Ecoinvent Association; JÜRGEN REINHARD, Quantis; JULIANA FERREIRA PICOLI; MARILIA IEDA DA S F MATSUURA, CNPMA. |
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Título: |
Integrating regionalized Brazilian land use change datasets into the ecoinvent database: new data, premises and uncertainties have large effects in the results. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
The International Journal of Life Cycle Assessment, v. 25, n. 6, p. 1027-1042, 2020. |
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DOI: |
https://doi.org/10.1007/s11367-020-01763-3 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Purpose: Land use change (LUC) is a critical process in the life cycle greenhouse gas emissions of agricultural products and Brazil is a major exporter of these. This work had the objective of integrating refined and regionalized datasets of LUC in Brazil into the ecoinvent database, to better represent its dynamics and heterogeneity. We present the adaptations needs for having it suitable for crops, pasture and forestry in state-level and impacts of modelling assumptions and uncertainties. Methods Adaptation and integration were based in ecoinvent version 3 guidelines and the database requirements to LUC modelling. BRLUC, a method for Brazilian LUC accounting, was the main data source. The workflow for the integration process consisted in identifying necessary adaptations in both sources to allow a better representation of Brazilian LUC. Four new reference products and 27 geographies were added in the database. Results and discussion A total of 566 new datasets were integrated into ecoinvent version 3.6, allowing the incorporation of LUC in Brazilian products in state, regional and national level. GHG emissions reduced, being 42.2%and 99.9%lower to soybean and sugarcane than in ecoinvent v3.5. Four improvements were the main causes: (i) state-level LUC modelling with national official data; (ii) regionalizing carbon stocks; (iii) including pasture and forestry land use categories; (iv) and considering sugarcane as a perennial crop. The way to calculate national-level results based on subnational data was an important source of difference in emissions too. Uncertainties specifically associated with land use substitution patterns were not incorporated, and they can potentially have impacts as large as the uncertainties of all the remaining processes combined. Conclusions Results showed that small changes in data sources and premises have large impacts on emissions associated with LUC in agricultural products. It also showed the large impacts of uncertainties of LUC patterns. Improving current models in better representing regional LUC patterns, regional carbon stocks and uncertainty accounting could reduce these impacts. Nonetheless, efforts in reducing the complexity of LUC accounting methods could enhance transparency and effectiveness. MenosAbstract: Purpose: Land use change (LUC) is a critical process in the life cycle greenhouse gas emissions of agricultural products and Brazil is a major exporter of these. This work had the objective of integrating refined and regionalized datasets of LUC in Brazil into the ecoinvent database, to better represent its dynamics and heterogeneity. We present the adaptations needs for having it suitable for crops, pasture and forestry in state-level and impacts of modelling assumptions and uncertainties. Methods Adaptation and integration were based in ecoinvent version 3 guidelines and the database requirements to LUC modelling. BRLUC, a method for Brazilian LUC accounting, was the main data source. The workflow for the integration process consisted in identifying necessary adaptations in both sources to allow a better representation of Brazilian LUC. Four new reference products and 27 geographies were added in the database. Results and discussion A total of 566 new datasets were integrated into ecoinvent version 3.6, allowing the incorporation of LUC in Brazilian products in state, regional and national level. GHG emissions reduced, being 42.2%and 99.9%lower to soybean and sugarcane than in ecoinvent v3.5. Four improvements were the main causes: (i) state-level LUC modelling with national official data; (ii) regionalizing carbon stocks; (iii) including pasture and forestry land use categories; (iv) and considering sugarcane as a perennial crop. The way to calculate national-le... Mostrar Tudo |
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Palavras-Chave: |
LUC; Maize; Mato Grosso; Timber. |
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Thesagro: |
Cana de Açúcar; Eucalipto; Gado de Corte; Manga; Milho; Produção Florestal; Soja; Uso da Terra. |
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Thesaurus NAL: |
Beef cattle; Corn; Greenhouse gas emissions; Inventories; Land use change; Mangoes; Plantation forestry; Soybeans; Sugarcane. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 03620naa a2200457 a 4500
001 2125219
005 2020-10-01
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s11367-020-01763-3$2DOI
100 1 $aDONKE, A. C. G.
245 $aIntegrating regionalized Brazilian land use change datasets into the ecoinvent database$bnew data, premises and uncertainties have large effects in the results.$h[electronic resource]
260 $c2020
520 $aAbstract: Purpose: Land use change (LUC) is a critical process in the life cycle greenhouse gas emissions of agricultural products and Brazil is a major exporter of these. This work had the objective of integrating refined and regionalized datasets of LUC in Brazil into the ecoinvent database, to better represent its dynamics and heterogeneity. We present the adaptations needs for having it suitable for crops, pasture and forestry in state-level and impacts of modelling assumptions and uncertainties. Methods Adaptation and integration were based in ecoinvent version 3 guidelines and the database requirements to LUC modelling. BRLUC, a method for Brazilian LUC accounting, was the main data source. The workflow for the integration process consisted in identifying necessary adaptations in both sources to allow a better representation of Brazilian LUC. Four new reference products and 27 geographies were added in the database. Results and discussion A total of 566 new datasets were integrated into ecoinvent version 3.6, allowing the incorporation of LUC in Brazilian products in state, regional and national level. GHG emissions reduced, being 42.2%and 99.9%lower to soybean and sugarcane than in ecoinvent v3.5. Four improvements were the main causes: (i) state-level LUC modelling with national official data; (ii) regionalizing carbon stocks; (iii) including pasture and forestry land use categories; (iv) and considering sugarcane as a perennial crop. The way to calculate national-level results based on subnational data was an important source of difference in emissions too. Uncertainties specifically associated with land use substitution patterns were not incorporated, and they can potentially have impacts as large as the uncertainties of all the remaining processes combined. Conclusions Results showed that small changes in data sources and premises have large impacts on emissions associated with LUC in agricultural products. It also showed the large impacts of uncertainties of LUC patterns. Improving current models in better representing regional LUC patterns, regional carbon stocks and uncertainty accounting could reduce these impacts. Nonetheless, efforts in reducing the complexity of LUC accounting methods could enhance transparency and effectiveness.
650 $aBeef cattle
650 $aCorn
650 $aGreenhouse gas emissions
650 $aInventories
650 $aLand use change
650 $aMangoes
650 $aPlantation forestry
650 $aSoybeans
650 $aSugarcane
650 $aCana de Açúcar
650 $aEucalipto
650 $aGado de Corte
650 $aManga
650 $aMilho
650 $aProdução Florestal
650 $aSoja
650 $aUso da Terra
653 $aLUC
653 $aMaize
653 $aMato Grosso
653 $aTimber
700 1 $aNOVAES, R. M. L.
700 1 $aPAZIANOTTO, R. A. A.
700 1 $aMORENO-RUIZ, E.
700 1 $aREINHARD, J.
700 1 $aPICOLI, J. F.
700 1 $aMATSUURA, M. I. da S. F.
773 $tThe International Journal of Life Cycle Assessment$gv. 25, n. 6, p. 1027-1042, 2020.
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