Terroir 2006 banner
IVES 9 IVES Conference Series 9 International Terroir Conferences 9 Terroir 2006 9 Climate component of terroir (Terroir 2006) 9 Viticultural Climatic Zoning and Digital Mapping of Rio Grande do Sul – Brazil, using Indices of the Géoviticulture MCC System

Viticultural Climatic Zoning and Digital Mapping of Rio Grande do Sul – Brazil, using Indices of the Géoviticulture MCC System

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 ».

DOI:

Publication date: January 12, 2022

Issue: Terroir 2006

Type: Article

Authors

Jorge TONIETTO (1), Francisco MANDELLI (1), Eliseu WEBER (2) et Heinrich HASENACK (2)

(1) Embrapa – Centro Nacional de Pesquisa de Uva e Vinho, Rua Livramento, 515, 95700-000 – Bento Gonçalves, RS – Brésil
(2) Laboratório de Ecologia, Universidade Federal do Rio Grande do Sul – UFRGS, Caixa postal, 15.007, 91501-970, Porto Alegre, Brésil

Contact the author

Keywords

climate classification, climate models, climatic Groups, zoning

Tags

IVES Conference Series | Terroir 2006

Citation

Related articles…

Unravelling regional typicality of Australian premium Shiraz through an untargeted metabolomics approach

Aims: The current study seeks to demonstrate that premium Shiraz wines from different Australian geographic indications (GI) can be distinguished by their volatile compound composition. 

Plastid genomics of Vitis vinifera L. for understanding the molecular basis of  grapevine (Vitis vinifera L.) domestication

The precise molecular mechanisms underlying the domestication of grapevine (Vitis vinifera L.) Are still not fully understood. In the recent years, next-generation sequencing (NGS) of plastid genomes has emerged as a powerful and increasingly effective tool for plant phylogenetics and evolution. To uncover the biological profile of the grapevine domestication process comprehensively, an investigation should encompass both the cultivated varieties (V. vinifera subsp. Vinifera) and their wild ancestors V. vinifera subsp. Sylvestris) across all potential sites of their distribution and domestication.

AGING PATTERNS OF VARIETAL VOLATILE PROFILES OF WHITE WINES: A CASE STUDY ON 18 ITALIAN VARIETAL WHITE WINES

During wine aging many compositional changes take place. In particular, aroma undergoes dramatic modifications through a wide range of reactions that to date are only partly understood. Italy owns one of the largest ampelographic heritages worldwide, with over three-hundred different varieties. Among these, many white grapes are employed for the production of dry still white wines. Some of these wines are consumed young while others are more prone to aging. For many of these wines, the aging patterns related to volatile composition are still unknown.

Detection of spider mite using artificial intelligence in digital viticulture

Aim: Pests have a high impact on yield and grape quality in viticulture. An objective and rapid detection of pests under field conditions is needed. New sensing technologies and artificial intelligence could be used for pests detection in digital viticulture. The aim of this work was to apply computer vision and deep learning techniques for automatic detection of spider mite symptoms in grapevine under field conditions. 

Ten years soil diagnosis in vineyards, with particularly analysis of organic and microbial mass and measuring their evolution

Since 1996, we study the soil in viticulture, specially in the South of France. In the field, we delimit soil units and observe soil profiles and take samples to analyse its physical, mineral, organic and microbial mass composition