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Registro Completo |
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
12/01/2017 |
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Data da última atualização: |
10/10/2023 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
PADILHA, C. V. da S.; BIASOTO, A. C. T.; CORREA, L. C.; LIMA, M. dos S.; PEREIRA, G. E. |
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Afiliação: |
CARLA VALÉRIA DA SILVA PADILHA, Universidade do Estado da Bahia, Juazeiro, BA, Brazil; ALINE TELLES BIASOTO MARQUES, CPATSA; LUIZ CLAUDIO CORREA, CPATSA; MARCOS DOS SANTOS LIMA, Instituto Federal de Educação e Tecnologia do Sertão Pernambucano, Campus Petrolina, Petrolina-PE, Brazil; GIULIANO ELIAS PEREIRA, CNPUV / CPATSA. |
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Título: |
Phenolic compounds and antioxidant activity of commercial tropical red wines (Vitis vinifera) from the São Francisco Valley, Brazil. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
In: INTERNATIONAL SYMPOSIUM ON TROPICAL WINES, 5., 2016, Petrolina. Book of abstracts... Petrolina: Embrapa Semiárido, 2016. |
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Páginas: |
p. 58. |
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Idioma: |
Inglês |
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Conteúdo: |
Objective of this work was to study the phenolic composition and antioxidant activity of commercial red wines made from grapes Vitis vinifera L. grown in a tropical climate region. |
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Palavras-Chave: |
Vale do São Francisco; Vinho tinto; Vinhos tintos tropicais; Vinhos tropicais. |
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Thesagro: |
Uva; Vitis Vinifera. |
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Thesaurus Nal: |
Grapes. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/156627/1/Aline.pdf
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Marc: |
LEADER 01034nam a2200253 a 4500
001 2060590
005 2023-10-10
008 2016 bl uuuu u00u1 u #d
100 1 $aPADILHA, C. V. da S.
245 $aPhenolic compounds and antioxidant activity of commercial tropical red wines (Vitis vinifera) from the São Francisco Valley, Brazil.$h[electronic resource]
260 $aIn: INTERNATIONAL SYMPOSIUM ON TROPICAL WINES, 5., 2016, Petrolina. Book of abstracts... Petrolina: Embrapa Semiárido$c2016
300 $ap. 58.
520 $aObjective of this work was to study the phenolic composition and antioxidant activity of commercial red wines made from grapes Vitis vinifera L. grown in a tropical climate region.
650 $aGrapes
650 $aUva
650 $aVitis Vinifera
653 $aVale do São Francisco
653 $aVinho tinto
653 $aVinhos tintos tropicais
653 $aVinhos tropicais
700 1 $aBIASOTO, A. C. T.
700 1 $aCORREA, L. C.
700 1 $aLIMA, M. dos S.
700 1 $aPEREIRA, G. E.
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Registro original: |
Embrapa Semiárido (CPATSA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente; Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
11/02/2014 |
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Data da última atualização: |
10/03/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
C - 0 |
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Autoria: |
ANDOW, D. A.; LOVEI, G. L.; ARPAIA, S.; WILSON, L.; FONTES, E. M. G.; HILBECK, A.; LANG, A.; TUAT, N. V.; PIRES, C. S. S.; SUJII, E. R.; ZWAHLEN, C.; BIRCH, A. N. E.; CAPALBO, D. M. F.; PRESCOTT, K.; OMOTO, C.; ZEILINGER, A. R. |
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Afiliação: |
D. A. ANDOW, University of Minnesota; GABOR L. LOVEI, Aarhus University; SALVATORE ARPAIA, ENEA-Research Centre Trisaia; LEWIS WILSON, CSIRO Cotton Research; ELIANA MARIA GOUVEIA FONTES, CENARGEN; ANGELICA HILBECK, Swiss Federal Institute of Technology; ANDREAS LANG, University of Basel; NGUYEN VAN TUAT, Food Crops Research Institute; CARMEN SILVIA SOARES PIRES, CENARGEN; EDISON RYOITI SUJII, CENARGEN; CLAUDIA ZWAHLEN, University of Minnesota; A. N. E. BIRCH, Ecological Science Group; DEISE MARIA FONTANA CAPALBO, CNPMA; KRISTINA PRESCOTT, University of Minnesota; CELSO OMOTO, ESALQ-USP; ADAM R. ZEILINGER, University of Minnesota. |
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Título: |
An ecologically-based method for selecting ecological indicators for assessing risks to biological diversity from genetically-engineered plants. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Journal of Biosafety, v. 22, n. 3, p. 141-156, 2013. |
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Idioma: |
Inglês |
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Conteúdo: |
The environmental risks associated with genetically-engineered (GE) organisms have been controversial, and so have the models for the assessment of these risks. We propose an ecologically-based environmental risk assessment (ERA) model that follows the 1998 USEPA guidelines, focusing on potential adverse effects to biological diversity. The approach starts by (1) identifying the local environmental values so the ERA addresses specific concerns associated with local biological diversity. The model simplifies the indicator endpoint selection problem by (2) classifying biological diversity into ecological functional groups and selecting those that deliver the identified environmental values. (3) All of the species or ecosystem processes related to the selected functional groups are identified and (4) multi-criteria decision analysis (MCDA) is used to rank the indicator endpoint entities, which may be species or ecological processes. MCDA focuses on those species and processes that are critical for the identified ecological functions and are likely to be highly exposed to the GE organism. The highest ranked indicator entities are selected for the next step. (5) Relevant risk hypotheses are identified. Knowledge about the specific transgene and its possible environmental effects in other countries can be used to assist development of risk hypotheses. (6) The risk hypotheses are ranked using MCDA with criteria related to the severity of the potential risk. The model emphasizes transparent, expert-driven, ecologically-based decision-making and provides formal methods for completing a screening level-ERA that can focus ERA on the most significant concerns. The process requires substantial human input but the human capital is available in most countries and regions of the world. MenosThe environmental risks associated with genetically-engineered (GE) organisms have been controversial, and so have the models for the assessment of these risks. We propose an ecologically-based environmental risk assessment (ERA) model that follows the 1998 USEPA guidelines, focusing on potential adverse effects to biological diversity. The approach starts by (1) identifying the local environmental values so the ERA addresses specific concerns associated with local biological diversity. The model simplifies the indicator endpoint selection problem by (2) classifying biological diversity into ecological functional groups and selecting those that deliver the identified environmental values. (3) All of the species or ecosystem processes related to the selected functional groups are identified and (4) multi-criteria decision analysis (MCDA) is used to rank the indicator endpoint entities, which may be species or ecological processes. MCDA focuses on those species and processes that are critical for the identified ecological functions and are likely to be highly exposed to the GE organism. The highest ranked indicator entities are selected for the next step. (5) Relevant risk hypotheses are identified. Knowledge about the specific transgene and its possible environmental effects in other countries can be used to assist development of risk hypotheses. (6) The risk hypotheses are ranked using MCDA with criteria related to the severity of the potential risk. The model emphasizes tra... Mostrar Tudo |
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Palavras-Chave: |
Environmental risk assessment; Genetically engineered organisms. |
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Thesagro: |
Biodiversidade; Impacto ambiental; Planta transgênica. |
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Thesaurus NAL: |
Biodiversity; ecosystem services; Risk assessment; Transgenic plants. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/97032/1/2013AP47.pdf
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Marc: |
LEADER 03008naa a2200409 a 4500
001 1980027
005 2023-03-10
008 2013 bl uuuu u00u1 u #d
100 1 $aANDOW, D. A.
245 $aAn ecologically-based method for selecting ecological indicators for assessing risks to biological diversity from genetically-engineered plants.$h[electronic resource]
260 $c2013
520 $aThe environmental risks associated with genetically-engineered (GE) organisms have been controversial, and so have the models for the assessment of these risks. We propose an ecologically-based environmental risk assessment (ERA) model that follows the 1998 USEPA guidelines, focusing on potential adverse effects to biological diversity. The approach starts by (1) identifying the local environmental values so the ERA addresses specific concerns associated with local biological diversity. The model simplifies the indicator endpoint selection problem by (2) classifying biological diversity into ecological functional groups and selecting those that deliver the identified environmental values. (3) All of the species or ecosystem processes related to the selected functional groups are identified and (4) multi-criteria decision analysis (MCDA) is used to rank the indicator endpoint entities, which may be species or ecological processes. MCDA focuses on those species and processes that are critical for the identified ecological functions and are likely to be highly exposed to the GE organism. The highest ranked indicator entities are selected for the next step. (5) Relevant risk hypotheses are identified. Knowledge about the specific transgene and its possible environmental effects in other countries can be used to assist development of risk hypotheses. (6) The risk hypotheses are ranked using MCDA with criteria related to the severity of the potential risk. The model emphasizes transparent, expert-driven, ecologically-based decision-making and provides formal methods for completing a screening level-ERA that can focus ERA on the most significant concerns. The process requires substantial human input but the human capital is available in most countries and regions of the world.
650 $aBiodiversity
650 $aecosystem services
650 $aRisk assessment
650 $aTransgenic plants
650 $aBiodiversidade
650 $aImpacto ambiental
650 $aPlanta transgênica
653 $aEnvironmental risk assessment
653 $aGenetically engineered organisms
700 1 $aLOVEI, G. L.
700 1 $aARPAIA, S.
700 1 $aWILSON, L.
700 1 $aFONTES, E. M. G.
700 1 $aHILBECK, A.
700 1 $aLANG, A.
700 1 $aTUAT, N. V.
700 1 $aPIRES, C. S. S.
700 1 $aSUJII, E. R.
700 1 $aZWAHLEN, C.
700 1 $aBIRCH, A. N. E.
700 1 $aCAPALBO, D. M. F.
700 1 $aPRESCOTT, K.
700 1 $aOMOTO, C.
700 1 $aZEILINGER, A. R.
773 $tJournal of Biosafety$gv. 22, n. 3, p. 141-156, 2013.
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Registro original: |
Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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