Effect du climat viticole sur la perception sensorielle du vin. Eléments méthodologiques pour une modélisation au niveau mondial.

The objective of this study was to develop a methodology capable of modeling the effect of viticultural climate on wine sensory characteristics. The climate was defined by the Géoviticulture Multicriteria Climatic Classification System (Tonietto and Carbonneau, 2004), based on the Heliothermal index (HI), Cool Night index (CI) and Dryness index (DI). The sensory wine description was made according with the methodology established by Zanus and Tonietto (2007). In this study we focused on the 5 principal wine producing regions of Brazil: Serra Gaúcha, Serra do Sudeste, Campanha (Meridional and Central), Planalto Catarinense and Vale do Submédio São Francisco. The results from Principal Component Analysis (PCA) show the HI and CI opposed to the DI. High HI values were associated to a lower perception of acidity, as well as to a lower perception of concentration (palate) and persistence by mouth. For the red wines, high HI values were positively associated with alcohol (palate), conversely to the DI index, which showed high values related to the perception of tanins and acidity. The higher the CI, the lower were the color intensity, tanins, concentration and persistence by mouth. It may be concluded that viticultural climate - expressed by the HI, CI and DI indexes ? adequately explained much of the sensory differences of the wines made in different regions. The methodology proposed and the enlargement of the database it will maybe open the possibility of modeling the part of wine sensory characteristics as dependent variables of the viticultural climate, as defined by the Géoviticulture MCC System.

Saved in:
Bibliographic Details
Main Authors: TONIETTO, J., ZANUS, M. C., GUERRA, C. C.
Other Authors: JORGE TONIETTO, CNPUV; MAURO CELSO ZANUS, CNPUV; CELITO CRIVELLARO GUERRA, CNPUV.
Format: Separatas biblioteca
Language:French
fra
Published: 2008-11-27
Subjects:Análise sensorial, Modelagem, Tipicidade, Clima, Enologia, Uva, Vinho, Viticultura,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/540223
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-alice-doc-540223
record_format koha
spelling dig-alice-doc-5402232019-04-10T00:36:53Z Effect du climat viticole sur la perception sensorielle du vin. Eléments méthodologiques pour une modélisation au niveau mondial. TONIETTO, J. ZANUS, M. C. GUERRA, C. C. JORGE TONIETTO, CNPUV; MAURO CELSO ZANUS, CNPUV; CELITO CRIVELLARO GUERRA, CNPUV. Análise sensorial Modelagem Tipicidade Clima Enologia Uva Vinho Viticultura The objective of this study was to develop a methodology capable of modeling the effect of viticultural climate on wine sensory characteristics. The climate was defined by the Géoviticulture Multicriteria Climatic Classification System (Tonietto and Carbonneau, 2004), based on the Heliothermal index (HI), Cool Night index (CI) and Dryness index (DI). The sensory wine description was made according with the methodology established by Zanus and Tonietto (2007). In this study we focused on the 5 principal wine producing regions of Brazil: Serra Gaúcha, Serra do Sudeste, Campanha (Meridional and Central), Planalto Catarinense and Vale do Submédio São Francisco. The results from Principal Component Analysis (PCA) show the HI and CI opposed to the DI. High HI values were associated to a lower perception of acidity, as well as to a lower perception of concentration (palate) and persistence by mouth. For the red wines, high HI values were positively associated with alcohol (palate), conversely to the DI index, which showed high values related to the perception of tanins and acidity. The higher the CI, the lower were the color intensity, tanins, concentration and persistence by mouth. It may be concluded that viticultural climate - expressed by the HI, CI and DI indexes ? adequately explained much of the sensory differences of the wines made in different regions. The methodology proposed and the enlargement of the database it will maybe open the possibility of modeling the part of wine sensory characteristics as dependent variables of the viticultural climate, as defined by the Géoviticulture MCC System. 2019-04-10T00:36:47Z 2019-04-10T00:36:47Z 2008-11-27 2008 2019-10-23T11:11:11Z Separatas In: CONGRÈS INTERNATIONAL DES TERROIRS VITICOLES, 7., 2008, Nyon, Suisse. Comptes rendus... Pully, Suisse: Agroscope Changins Wädenswill, 2008. http://www.alice.cnptia.embrapa.br/alice/handle/doc/540223 fr fra openAccess Não paginado.
institution EMBRAPA
collection DSpace
country Brasil
countrycode BR
component Bibliográfico
access En linea
databasecode dig-alice
tag biblioteca
region America del Sur
libraryname Sistema de bibliotecas de EMBRAPA
language French
fra
topic Análise sensorial
Modelagem
Tipicidade
Clima
Enologia
Uva
Vinho
Viticultura
Análise sensorial
Modelagem
Tipicidade
Clima
Enologia
Uva
Vinho
Viticultura
spellingShingle Análise sensorial
Modelagem
Tipicidade
Clima
Enologia
Uva
Vinho
Viticultura
Análise sensorial
Modelagem
Tipicidade
Clima
Enologia
Uva
Vinho
Viticultura
TONIETTO, J.
ZANUS, M. C.
GUERRA, C. C.
Effect du climat viticole sur la perception sensorielle du vin. Eléments méthodologiques pour une modélisation au niveau mondial.
description The objective of this study was to develop a methodology capable of modeling the effect of viticultural climate on wine sensory characteristics. The climate was defined by the Géoviticulture Multicriteria Climatic Classification System (Tonietto and Carbonneau, 2004), based on the Heliothermal index (HI), Cool Night index (CI) and Dryness index (DI). The sensory wine description was made according with the methodology established by Zanus and Tonietto (2007). In this study we focused on the 5 principal wine producing regions of Brazil: Serra Gaúcha, Serra do Sudeste, Campanha (Meridional and Central), Planalto Catarinense and Vale do Submédio São Francisco. The results from Principal Component Analysis (PCA) show the HI and CI opposed to the DI. High HI values were associated to a lower perception of acidity, as well as to a lower perception of concentration (palate) and persistence by mouth. For the red wines, high HI values were positively associated with alcohol (palate), conversely to the DI index, which showed high values related to the perception of tanins and acidity. The higher the CI, the lower were the color intensity, tanins, concentration and persistence by mouth. It may be concluded that viticultural climate - expressed by the HI, CI and DI indexes ? adequately explained much of the sensory differences of the wines made in different regions. The methodology proposed and the enlargement of the database it will maybe open the possibility of modeling the part of wine sensory characteristics as dependent variables of the viticultural climate, as defined by the Géoviticulture MCC System.
author2 JORGE TONIETTO, CNPUV; MAURO CELSO ZANUS, CNPUV; CELITO CRIVELLARO GUERRA, CNPUV.
author_facet JORGE TONIETTO, CNPUV; MAURO CELSO ZANUS, CNPUV; CELITO CRIVELLARO GUERRA, CNPUV.
TONIETTO, J.
ZANUS, M. C.
GUERRA, C. C.
format Separatas
topic_facet Análise sensorial
Modelagem
Tipicidade
Clima
Enologia
Uva
Vinho
Viticultura
author TONIETTO, J.
ZANUS, M. C.
GUERRA, C. C.
author_sort TONIETTO, J.
title Effect du climat viticole sur la perception sensorielle du vin. Eléments méthodologiques pour une modélisation au niveau mondial.
title_short Effect du climat viticole sur la perception sensorielle du vin. Eléments méthodologiques pour une modélisation au niveau mondial.
title_full Effect du climat viticole sur la perception sensorielle du vin. Eléments méthodologiques pour une modélisation au niveau mondial.
title_fullStr Effect du climat viticole sur la perception sensorielle du vin. Eléments méthodologiques pour une modélisation au niveau mondial.
title_full_unstemmed Effect du climat viticole sur la perception sensorielle du vin. Eléments méthodologiques pour une modélisation au niveau mondial.
title_sort effect du climat viticole sur la perception sensorielle du vin. eléments méthodologiques pour une modélisation au niveau mondial.
publishDate 2008-11-27
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/540223
work_keys_str_mv AT toniettoj effectduclimatviticolesurlaperceptionsensorielleduvinelementsmethodologiquespourunemodelisationauniveaumondial
AT zanusmc effectduclimatviticolesurlaperceptionsensorielleduvinelementsmethodologiquespourunemodelisationauniveaumondial
AT guerracc effectduclimatviticolesurlaperceptionsensorielleduvinelementsmethodologiquespourunemodelisationauniveaumondial
_version_ 1756025840152346624