Observation and modeling of climate at fine scales in wine-producing areas

The goal of this work was to determine the spatial variability of terroir using the isotope composition of wine. Carbon (δ13C) and oxygen (δ18O) stable isotope composition was measured in wines from Tempranillo (Vitis vinifera L.) vineyard, located in Rioja Appellation (Spain). Stable isotope composition, leaf area, vigour, yield components, grape and wine composition were determined in a grid of 85 geo-referenced points, that was drawn across the 5 ha vineyard area

Des expérimentations sur Gamay ont été réalisées en Beaujolais de 2000 à 2006 sur 10 parcelles d’AOC différentes. De nombreuses mesures ont été effectuées à différents stades (vigne, baies récoltées, vinification et bouteille avec ou sans vieillissement). Ces mesures sont également de natures différentes (données phénologiques, analytiques, dégustation). Des analyses de la composition des sols sont également disponibles.

Astringency is one of the leading quality factors in red wines.

Agriculture worldwide is threatened by climate change. In particular, declining water resource availability combined with increasing water demand is a key challenge in many rainfed areas, where irrigation appears to be a straightforward adaptation option. In this context, assessing the impacts of irrigation adoption on farm yields and incomes is a necessary step to reflect on the impact of both ex-post and ex-ante policies.

Today’s viticulture faces a considerable challenge dealing with fungal diseases and limitations on the use of plant protection products (PPP) have increased the pressure to find more sustainable alternatives. One strategy may be the development and cultivation of disease-resistant grapevine varieties (PIWI) that could maintain crop productivity and quality while reducing dependence on PPP. In this work a set of 9 PIWI varieties (5 white and 4 red) deploying genes for resistance to powdery and downy mildew were evaluated in two consecutive years in Valdegón, La Rioja, with Tempranillo and Viura as controls. The objective was to correlate agronomic performance and disease incidence with the presence of disease resistance genes in two different seasons: with (2023) and without disease pressure (2022).