5 resultados para Produit du terroir
em Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa)
Resumo:
The honeydew moth Cryptoblabes gnidiella is the main problem for the wineries in the Northeast of the Brazil, because it attacks the bunch and reduces the quality of the grapes and the wines. In order to stretch out the bunch to facilitate the penetration of the insecticides, it was used gibberellic acid. Six treatments with different concentrations and different dates of application, and the control were compared. The bunches are compact, characteristic of the "Syrah" grapes in the region. The grape berries were analysed at harvest and wines were made by microvinifications. The grape berries showed different qualitative characteristics, as berry weight, number of berries. °Brix, total acidity and heterogeneity of the maturation. The microvinifications were carried out with 50 kg of grapeberries into glass bottles of 20 L at 22°C, for the alcoholic and malolactic fermentations, then stabilized and bottled. The wines were tasted by a panel of ten people and compared on smell and taste plans. The tasting results showed that the control treatment was the best graded wine. The application of gibberellic acid allowed to control the honeydew moth attack, but it caused a heterogeneity on grape maturation, with a lower quality of the grapes and wines compared to the control.
Resumo:
RÉSUMÉ Il n?existe presque pas d?études qui caractérisent l?effet du climat viticole sur la typicité des vins en considérant les différents types de climats à l?échelle mondiale. Cette étude fait partie d?un projet CYTED de zonage vitivinicole. L?objectif a été de caractériser l?effet du climat viticole sur la typicité des vins sur une macro région viticole du monde. La méthodologie a été appliquée à un ensemble de 45 régions viticoles situées sur 6 pays Ibéro-Américains : Argentine, Bolivie, Brésil, Chili, Espagne et Portugal. Le climat viticole de chaque région viticole a été caractérisé para les 3 indices climatiques viticoles du Système CCM Géoviticole : IH (Indice Héliothermique de Huglin), (IF) Indice de Fraîcheur des Nuits) et IS (Indice de Sécheresse). Les principales caractéristiques sensorielles observées de façon fréquente sur des vins rouges représentatifs élaborés avec des raisins-de-cuve de chacune des ces 45 régions viticoles ont été décrites pour des ?nologues de chaque pays, an utilisant la méthodologie proposée par Zanus & Tonietto (2007). L?évaluation sensorielle réalisée concerne l?intensité de perception de la Couleur (Cou), de l?Arôme Total (Ar), de l?Arôme ? fruit mûr (Ar-Fm), de la Concentration (Con), de l?Alcool (Al), des Tanins (Tan), de l?Acidité (Ac) et la Longueur en bouche (Lon). Les données ont été soumises à l?analyse des corrélations pour l?ensemble des variables et à l?ACP. L?étude indique qu?une partie de la typicité des vins es déterminée par le climat viticole des régions et que les indices du Système CCM Géoviticole sont pertinents pour relier aux caractéristiques sensorielles des vins. Le déterminisme de l?IH, de l?IS et de l?IF à été mis en évidence. MOTS CLÉS : climat viticole, indice climatique, Système CCM, vin, typicité.
Resumo:
Abstract: The State Rio Grande do Sul is the main producer of Brazilian fine wines, with four viticultural regions. The objective is the characterization of the viticultural climatic potential of the State (total surface of 281.749 km2). The methodology use the Géoviticulture Multicriteria Climatic Classification System (Géoviticulture MCC System), based on three climatic indices ? Dryness Index (DI), Heliotermal Index (HI) and Cool Night Index (CI). Based on latitude, longitude, altitude and distance from Atlantic Ocean, the 3 viticultural climatic indices were modeled and the algorithms applied to a DTM using GIS. The results show that Rio Grande do Sul has the following classes of viticultural climate: according to DI ? Moderately Dry, Sub-humid, Humid; according to HI ? Cool, Temperate, Temperate warm, Warm and Very Warm; according to CI ? Cool nights, Temperate nights, Warm nights. Based on the total surface, the most representatives viticultural climates are: « Humid x Temperate » (3,1%), « Humid x Temperate warm » (14,4%), « Humid x Warm » (52,6%), « Sub-humid x Warm » (20,0%) and « Sub-humid x Very warm » (5,8%). According to CI, the viticultural climates have a range of variation as a function of the interaction between « earlyness of the varieties x heliothermal availability ». Key words: climate classification, climate models, climatic Groups, zoning
Resumo:
Summary 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. Keywords: viticultural climate, modeling, wine, tipicity.
Resumo:
2004