Les activités peroxidasiques du raisin de quelques cépages de Roumanie

The ongoing challenge of climate change is driving the need for novel oenological approaches aimed at finding effective environmental solutions.

Vineyard yield estimation brings several advantages to the entire wine industry. It can provide useful information to support decision making regarding bunch thinning practices, harvest logistics and marketing strategies, as well as to manage stored wine and cellar tanks allocation. Today, this estimation is performed mainly using manual methods based on destructive bunch sampling.

The assessment of red wine mouthfeel relies primarily on the sensory description of its tannic properties. This evaluation could be improved by gaining a better understanding of the physicochemical properties of these tannins. Hence, the objectives of the present study were threefold: (1) to gain an insight into the sensory properties of subpopulations of proanthocyanidic tannins of different molecular sizes obtained through several ultrafiltration steps, (2) to quantify the kinetics of haze formation of these proanthocyanidic tannins in a dynamic polyvinylpyrrolidone (PVP) precipitation test, (3) to determine whether a correlation exists between the sensory and the precipitation data.

L’objectif de cette recherche a été de déterminer les effets de l’enherbement dans le microclimat de la vigne. On a comparé cinq couvertures de cycle végétatif différent en ce qui concerne l’entretien du sol sans culture par application d’herbicides. L’étude a été developpée dans un vignoble cv. Malbec conduit en haute espalier, situé en a terroir á Agrelo, Luján de Cuyo, Mendoza, Argentine. On a déterminé des paramètres micro climatiques:

Estimation of vineyard leaf area index (LAI) is an important aspect for the winegrowers. However, tracking and monitoring are difficult tasks due to time constraints. Satellite and unmanned aerial vehicle (UAV) imaging have become a practical monitoring method for LAI. Nevertheless, for a proper LAI determination, the image’s spatial resolution is a key factor, since low-resolution images are incapable of distinguishing between adjacent vines due to the large area covered in each pixel, this leads to misinterpretation or generalisation of vineyard information.