Potentiel des sols viticoles et qualité des vins

The evolution of wine quality issues is historically expressed by the passage from wine quality (what is a wine?) to wine quality (what is a good wine?). Perhaps the next question could be: what is a good sustainable wine? To contribute to reflection on this theme, it may be worthwhile to undertake an exercise in prospective fiction, which we have identified in the hypothesis of the AOD, the “appellation d’origine durable”, a scenario we will develop in the light of developments in the wine industry and the regulation on geographical indications.

Field-grown crops such as grapevines, rely on ambient environmental conditions for growth and development.

According to winemakers, wine experts and sommeliers, aromas of wet stone, mineral, struck match and flint in white wines styles, such as those produced from Vitis vinifera L. cv. Chardonnay, are considered to be hallmarks of positive reduction.1,2 In recent years, the production of Chardonnay styles defined by aroma characteristics related to positive reduction has become more desirable among wine experts and consumers. The chemical basis of positive reduction is thought to originate from the concentration of specific volatile sulfur compounds (VSCs), including methanethiol (MeSH) imparting mineral and chalk notes,3 and benzenemethanethiol (BMT) responsible for struck match and flint.1,4

The ‘Erbaluce‘, a grapevine cultivar from which in the Canavese (Piedmont, Italy) different types of white DOC wines are obtained, is traditionally trained on a support structure commonly known as “pergola” having three to five long “cords” which consist of three cordons and canes interlaced together.

Unmanned Aerial Vehicles (UAVs) are increasingly used to monitor canopy structure and vineyard performance. Compared with traditional remote sensing platforms (e.g. aircraft and satellite), UAVs offer a higher operational flexibility and can acquire ultra-high resolution images in formats such as true color red, green and blue (RGB) and multispectral. Using photogrammetry, 3D vineyard models and normalized difference vegetation index (NDVI) maps can be created from UAV images and used to study the structure and health of grapevine canopies. However, there is a lack of comparison between UAV-based images and ground-based measurements, such as leaf area index (LAI) and canopy porosity.