Fast, and full microbiological wine analysis using triple cellular staining.

In this video recording of the IVES science meeting 2024, German Puga (Wine Economics Research Centre, School of Economics and Public Policy, University of Adelaide, Adelaide, Australia) speaks about a climatic classification of the world’s wine regions and winegrape variety concentration. This presentation is based on an original article accessible for free on OENO One.

Oak wood selection and maturation are essential steps in the course of barrel fabrication. Given the existence of many factors involved in the choice of raw material and in natural seasoning of oak wood, it is very difficult to determine the real impact of seasoning and selection factors on oak wood composition. A sampling was done to study the evolution of oak wood chemical composition during four seasoning steps: non matured, 12 months, 18 months and 24 months. For this sampling, three selection factors were taken into account: age, grain type and the Polyphenolic Index measured by Oakscan®. Besides extractables
(~10%), three polymers constitute the main part of oak wood: cellulose, hemicelluloses and lignins.

Mediante análisis por test ELISA de hojas de vides (Vitis vinifera L.) del cv. Pedro Ximénez, procedentes de 28 parcelas experimentales distribuidas por la DOMM

Accurate yield estimation is crucial for optimizing vineyard management and logistical organization. Traditional methods relying on manual and destructive flower or berry counts are labor-intensive and unsuitable for large-scale applications.

En vue d’une production économique de qualités des raisins optimales une connaissance des informations les plus différentes est importante. Les nouvelles technologies, telles qu’un SIG permettent de réunir les informations sur le terrain, la nature du sol, le danger d’érosion, le climat, la végétation, l’hydrographie, l’apparition de nuisible et de maladies, etc. Sur la base de cartes topographiques un SIG permet une vaste analyse, une appréciation des rapports complexes ainsi qu’une représentation cartographique. Sur la base de modélisations en trois dimensions du terrain avec le SIG, les ensembles de données saisies ainsi que leur classification au niveau local peuvent être utilisés dans la production de zonages régionaux.