Zoning for drinking, tasting the territory place (“Great Zonation”): first considerations and methodology

AIM: Biofilm is a resistance mechanism deployed by microorganisms to adapt to stresses, leading to their persistence in the environment. In the case of Brettanomyces bruxellensis, a wine spoilage yeast, knowledge about its capacity to form biofilm remains limited although this potential strategy could explain its recurring presence in cellars.

Aromas are one of the key points in food analysis since they are related to character, quality and consequently consumer acceptance. It is not different in the winery industry, where the aromatic profile is a combination of viticultural and oenological practices. Based on the development of more aromatic clones and on the potential to produce sparkling wines at Caldas, in the southern region of Minas Gerais (Brazil) (21°55´S and 46°23´W, altitude 1,100m), the aim of this work was the determination of volatile compounds in six different clones of Chardonnay grape berries to better understand which compounds add bouquet to the wine, and additionally comprehend the impacts of the edaphoclimatic and annual conditions on the improvement of grape-growing and winemaking practices.

As greenhouse gas emissions continue to rise, climate projections indicate an increased likelihood of heat waves and drier conditions in canada. these changes pose significant challenges to grapevine cultivation, particularly during critical growth stages such as new plantings. interspecific hybrid grape varieties, developed through different breeding programs that combine vitis vinifera with more robust species like v. riparia and v. labrusca varieties, are often touted for their potential resilience to environmental stress.

The Institut Français De La Vigne Et Du Vin (IFV) is conducting many experiments on innovative winegrowing practices, which are emerging in companies in the sector, or which are still at the R&D stage for agricultural suppliers. The purpose of these practices may be to reduce environmental impact, to adapt vineyards to climate change, or to achieve other technical, economic or social aims. Whatever the objective, it is necessary to verify the relevance of these new practices, and in particular their environmental relevance, i.e. That at the very least, the changes in practices do not increase the environmental impact of the technical itineraries.

Aim: Through machine-learning modelling of plant water status from environmental characteristics, this work aims to develop a model able to predict grape phenolic composition in space and time to guide selective harvest decisions at the estate scale.