Terroir 1996 banner
IVES 9 IVES Conference Series 9 Parcours de découverte des terroirs viticoles

Parcours de découverte des terroirs viticoles

Abstract

A partir des recherches conduites sur la caractérisation des terroirs viticoles par des chercheurs de l’Unité de Recherches Vigne et Vin (1, 2, 3, 4, 5) du Centre INRA d’Angers, Terre des Sciences, le Centre de Culture Scientifique et Technique d’Angers (CCSTA) a mis au point un parcours de découverte d’une journée dans le vignoble angevin avec une approche pluridisciplinaire. Différents aspects des disciplines suivantes sont abordées au cours de cette journée : géologie, pédologie, climatologie, lecture du paysage, biologie, écologie, viticulture, oenologie, biochimie, analyse sensorielle. L’histoire des sciences et des techniques, la méthodologie développée par les chercheurs (1), l’histoire des idées au travers des écrits scientifiques, et l’éducation du goût seront intégrés ainsi que, bien sûr, les dimensions commerciale et économique.

DOI:

Publication date: March 25, 2022

Issue: Terroir 1996

Type : Poster

Authors

J.L GAIGNARD (1), D. POUIT (2)

(1) INRA Centre d’Angers
42, rue Georges Morel, 49071 Beaucouzé cedex
(2) CCST Angers – France

Tags

IVES Conference Series | Terroir 1996

Citation

Related articles…

Making sense of a sense of place: precision viticulture approaches to the analysis of terroir at different scales

Agriculture, natural resource management and the production and sale of products such as wine are increasingly data-driven activities. Thus, the use of remote and proximal crop and soil sensors to aid management decisions is becoming commonplace and ‘Agtech’ is proliferating commercially; mapping, underpinned by geographical information systems and complex methods of spatial analysis, is widely used…

Characterization of free and glycosidically bound simple phenols in hybrid grape varieties using liquid chromatography coupled to high resolution mass (q-orbitrap)

Vitis vinifera is one of the most diffused grapevines over the word and it is the raw material for high quality wines production. The availability of more resistant interspecific hybrid vine varieties, developed from crosses between Vitis vinifera and other Vitis species, has generating much interest, also due to the low environmental effect of production. However, hybrid grape wine composition and varietal differences between interspecific hybrids are not well defined. Different studies revealed that wine consumption has health effects due to its high content of antioxidants, as phenolic compounds. In particular, simple phenols are appreciated not only for their physiological health benefits, including antioxidant, anti-inflammatory and cardioprotective effects, but also because they affect wines organoleptic profile and have a significant role in defining their nutritional characteristics.

Predicting oxygen consumption rate by tannins through sweep linear voltammetry and machine learning models

Nowadays, it is well known that oxygen significantly impacts wine quality. The amount of oxygen wine consumes during the winemaking process depends on several factors, such as storage conditions, the number of rackings, the materials used for aging, and the type of closure chosen for bottling.

Exploring grapevine water relations in the context of fruit growth at pre- and post-veraison

Climate change is increasing the frequency of water deficit in many grape-growing regions. Grapevine varieties differ in their stomatal behavior during water deficit, and their ability to regulate water potential under dry soil conditions is commonly differentiated using the concept of isohydricity. It remains unclear whether stomatal behavior, water potential regulation, and the resulting degree of isohydricity has a relationship with changes to fruit growth during water deficit. This study was conducted on four varieties (`Cabernet Franc`, `Semillon`, `Grenache`, and `Riesling`) subjected to both short-term, severe water deficit and long-term, moderate water deficit applied at both pre- and post-veraison.

Deep learning based models for grapevine phenology

the phenological evolution is a crucial aspect of grapevine growth and development. Accurate detection of phenological stages can improve vineyard management, leading to better crop yield and quality traits. However, traditional methods of phenological tracking such as on-site observations are time-consuming and labour-intensive. This work proposes a scalable data-driven method to automatically detect key phenological stages of grapevines using satellite data. Our approach applies to vast areas because it solely relies on open and satellite data having global coverage without requiring any in-field data from weather stations or other sensors making the approach extensible to other areas.