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Registro Completo |
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
20/10/2011 |
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Data da última atualização: |
15/09/2015 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
GUERRA, N. B.; LIMA, L. L. A.; PEREIRA, G. E.; ANDRADE, S. A. C.; SILVEIRA, K. C. da; LIMA, T. L. A. |
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Afiliação: |
UFPE; UFRPE; GIULIANO ELIAS PEREIRA, CNPUV / CPATSA; UFPE; UFPE; UFRPE. |
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Título: |
Sensory profiles of tropical wines produced in the São Francisco River Valey (Northeast Brazil). |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
In: INTERNATIONAL SYMPOSIUM OF THE GROUP OF INTERNATIONAL EXPERTS OF VITIVINICULTURAL SYSTEMS FOR COOPERATION, 17., 2011, Asti. Proceedings... Asti: Le Progrès Agricole et Viticole, 2011. |
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Páginas: |
p. 53-56. |
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Idioma: |
Português |
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Conteúdo: |
Given the lack of available information on the subject, this study aims to characterize and evaluate the sensory stability of the experimental wines made from Vitis Vinifera - Syrah, Petit Verdot, Tempranillo, Sauvignon Blanc, Verdejo and Viognier - grown in the region of Vale de São Francisco in the northeast of Brazil,where the climate is tropical and semi-arid. Samples ofthe wines were analyzed after 3, 6, 9 and 12-months of storage by means of Quantitative Descriptive Analysis (QDA) and the data were submitted to Principal Component Analysis (PCA). The application of multivariate analysis resulted in a satisfactory differentiation of the wines in relation to grape variety, storage durationand in identifying the attributes most pronounced in the wines. It was observed that the red wines gradually became softer in flavourwhile the whites remained refreshing. All wines showed a perceptible decrease in sensory characteristics throughout storage. |
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Palavras-Chave: |
Análise descritiva quantitativa; Propriedades sensoriais; Tropical wines; Vale do São Francisco; Vinho tropical. |
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Thesagro: |
Uva. |
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Thesaurus Nal: |
Grapes; Sensory properties. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/129627/1/ID-45762.pdf
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Marc: |
LEADER 01903nam a2200277 a 4500
001 1903551
005 2015-09-15
008 2011 bl uuuu u00u1 u #d
100 1 $aGUERRA, N. B.
245 $aSensory profiles of tropical wines produced in the São Francisco River Valey (Northeast Brazil).
260 $aIn: INTERNATIONAL SYMPOSIUM OF THE GROUP OF INTERNATIONAL EXPERTS OF VITIVINICULTURAL SYSTEMS FOR COOPERATION, 17., 2011, Asti. Proceedings... Asti: Le Progrès Agricole et Viticole$c2011
300 $ap. 53-56.
520 $aGiven the lack of available information on the subject, this study aims to characterize and evaluate the sensory stability of the experimental wines made from Vitis Vinifera - Syrah, Petit Verdot, Tempranillo, Sauvignon Blanc, Verdejo and Viognier - grown in the region of Vale de São Francisco in the northeast of Brazil,where the climate is tropical and semi-arid. Samples ofthe wines were analyzed after 3, 6, 9 and 12-months of storage by means of Quantitative Descriptive Analysis (QDA) and the data were submitted to Principal Component Analysis (PCA). The application of multivariate analysis resulted in a satisfactory differentiation of the wines in relation to grape variety, storage durationand in identifying the attributes most pronounced in the wines. It was observed that the red wines gradually became softer in flavourwhile the whites remained refreshing. All wines showed a perceptible decrease in sensory characteristics throughout storage.
650 $aGrapes
650 $aSensory properties
650 $aUva
653 $aAnálise descritiva quantitativa
653 $aPropriedades sensoriais
653 $aTropical wines
653 $aVale do São Francisco
653 $aVinho tropical
700 1 $aLIMA, L. L. A.
700 1 $aPEREIRA, G. E.
700 1 $aANDRADE, S. A. C.
700 1 $aSILVEIRA, K. C. da
700 1 $aLIMA, T. L. A.
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Registro original: |
Embrapa Semiárido (CPATSA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
02/02/2016 |
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Data da última atualização: |
18/02/2016 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
DART, R. de O.; VASQUES, G. M.; COELHO, M. R.; FERNANDES, N. F. |
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Afiliação: |
RICARDO DE OLIVEIRA DART, CNPS; GUSTAVO DE MATTOS VASQUES, CNPS; MAURICIO RIZZATO COELHO, CNPS; NELSON FERREIRA FERNANDES, UFRJ. |
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Título: |
Digital soil mapping for soil class prediction in a dry forest of Minas Gerais, Brazil. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 35., 2015, Natal. O solo e suas múltiplas funções: anais. Natal: Sociedade Brasileira de Ciência do Solo, 2015. |
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Idioma: |
Inglês |
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Conteúdo: |
Investment on soil survey has become scarce over the past decades. Digital Soil Mapping (DSM) techniques emerged as an economic alternative to produce soil maps. We applied a classification tree algorithm to predict soil suborders in a tropical dry forest area with 102 km2 in the north of Minas Gerais state, Brazil. We tested environmental covariates with different spatial resolutions as predictors, and used 361 observations to train the model and 64 independent observations to validate the map. Prediction models included three decision trees and one logistic regression model. The results showed that freely available environmental covariates with coarser spatial resolution can produce as good or better suborder predictions than more expensive covariates with finer resolution. |
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Palavras-Chave: |
Árvore de classificação; Covariáveis ambientais; Resolução espacial. |
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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/138300/1/2015-162.pdf
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Marc: |
LEADER 01474nam a2200181 a 4500
001 2035920
005 2016-02-18
008 2015 bl uuuu u00u1 u #d
100 1 $aDART, R. de O.
245 $aDigital soil mapping for soil class prediction in a dry forest of Minas Gerais, Brazil.$h[electronic resource]
260 $aIn: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 35., 2015, Natal. O solo e suas múltiplas funções: anais. Natal: Sociedade Brasileira de Ciência do Solo$c2015
520 $aInvestment on soil survey has become scarce over the past decades. Digital Soil Mapping (DSM) techniques emerged as an economic alternative to produce soil maps. We applied a classification tree algorithm to predict soil suborders in a tropical dry forest area with 102 km2 in the north of Minas Gerais state, Brazil. We tested environmental covariates with different spatial resolutions as predictors, and used 361 observations to train the model and 64 independent observations to validate the map. Prediction models included three decision trees and one logistic regression model. The results showed that freely available environmental covariates with coarser spatial resolution can produce as good or better suborder predictions than more expensive covariates with finer resolution.
653 $aÁrvore de classificação
653 $aCovariáveis ambientais
653 $aResolução espacial
700 1 $aVASQUES, G. M.
700 1 $aCOELHO, M. R.
700 1 $aFERNANDES, N. F.
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Registro original: |
Embrapa Solos (CNPS) |
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