REVINE project : regenerative agricultural approaches to improve ecosystem services in Mediterranean vineyards

L’objectif de cette étude est analyser l’influence de la densité de plantation sur l’état hydrique (potentiel hydrique), le comportement productif (matière sèche et rendement) et la expression qualitative (poids de baie, degrée Brix, pH, acidité totale, concentration polyphénolique) de la varieté Tempranillo dans la Vallée du Douro, à l’A.O. Cigales.

Light-struck taste is a defect prevalent in white wines bottled in clear glass light-exposed for a considerable amount of time leading to a loss of color and appearance of sulfur-like odors. The reaction involves riboflavin (RF), a highly photosensitive compound that undergoes to intermolecular photoreduction by the uptake of two electron equivalents from an external donor, the methionine. The reaction includes different steps forming methional which is extremely unstable and decomposes to methane thiol and acrolein. The reaction of two molecules of methane thiol yields dimethyl disulfide. Methane thiol is highly volatile, has a low perception threshold (2 to 10 µg/L in wine) and confers aroma-like rotten eggs or cabbage.

In the context of the three global crises of global warming, loss of biodiversity and environmental pollution, current agricultural practices need to be reconsidered [1]. Viticulture in particular can contribute to this by optimising plant protection [2].

Aim: Grapevine has traditionally been widely cultivated in drylands. However, in recent decades, a significant part of the viticulture all over the word and specifically in Mediterranean basin, is being irrigated. In recent years, due to climate change, among other reasons, the available natural water resources have been reduced substantially compromising the sustainability of viticulture, especially in the most arid areas

Artificial intelligence (AI) for winegrowers refers to robotics, smart sensor technology, and machine learning applied to solve climate change problems. Our research group has developed novel technology based on AI in the vineyard to monitor vineyard growth using computer vision analysis (VitiCanopy App) and grape maturity based on berry cell death to predict flavor and aroma profiles of berries and final wines.