Terroir 2008 banner
IVES 9 IVES Conference Series 9 «Observatoire Mourvèdre»: (2) climatic mapping for successful plantation of Cv. Mourvèdre

«Observatoire Mourvèdre»: (2) climatic mapping for successful plantation of Cv. Mourvèdre

Abstract

A statistical model of sugar potential for Mourvèdre grapevine cultivar has been obtained using a group of 32 plots all around de south-east french mediterranean area. It is aimed to better understand the relations between viticultural practices and quality. The model shows strong influence of the temperature components on maturity. That is why a mapping valorization has been worked on at the local scale of a small viticultural region (2000 ha) and for the year 2005. The interpolation of temperature data was possible thanks to the MITEF method, which is acurate at a resolution of 50m. Rebuilding phenological stages has been done with a model using temperature summing adapted to Mourvèdre cv.. With moderate level of yield and canopy, the sugar potential for 2005 ranged from 11 to 14 %vol. depending on the location. With a maturity level of 12% vol. given as a minimal, it is thus possible to determine favourable and less favourable areas for the variety. Finally, turning up or down the level of yield or canopy gives us simulations of the impact of the grower practices on maturity potential, leading to an extent or a reduction of the possible planting area.

DOI:

Publication date: December 8, 2021

Issue: Terroir 2008

Type : Article

Authors

CLAVERIE M. (1), SIVADON I. (2), GARCIA DE CORTAZAR-ATAURI I. (3), ICOLE H. (4)

(1) Institut Français de la Vigne et du Vin (ENTAV-ITV France), Station régionale Rhône-Méditerranée, Domaine de Donadille, Rodilhan, France
(2) Centre d’Information Régional Agrométéorologique (CIRAME), 775 chemin de l’Hermitage, Hameau de Serres, Carpentras, France
(3) Equipe Bioflux, CEFE-CNRS, route de Mende, Montpellier, France
(4) Cave coopérative de Cairanne, route de Bollène, Cairanne, France

Contact the author

Keywords

vine, Mourvèdre variety, maturity, zoning, temperature interpolation

Tags

IVES Conference Series | Terroir 2008

Citation

Related articles…

Evaluating the greenness of wine analytical chemistry: A new metric approach

Wine is a complex matrix whose composition depends on climatic, agricultural, and winemaking factors, making quality control and authenticity assessment critical in the global market.

Fungal communites diversity and functional roles of different types of Botrytis cinerea infected grape berries on different growing sites

Botrytis cinerea, an Ascomycota pathogen with a broad host range, infects over 1200 plant species. Grapes infected by this pathogen, which subsequently develop a noble rot, remain in the vineyard for an extended period, thus being exposed to a diverse array of physical, chemical and biological factors, which give rise to a complex microbial community.

Revealing the aroma profile of Greek wines from indigenous grape cultivars

The indigenous Greek grape varieties Assyrtiko, Malagousia, Moschofilero and Roditis are used to produce white wines that are attracting the interest of wine producers and consumers due to their aromatic characteristics [1]. In addition, the Agiorgitiko and Xinomavro varieties are Greece’s most prominent red grape varieties.

Tracing glycosidically-bound smoke taint markers from grape to wine

The increasing frequency of wildfires on the West Coast of the USA is seen as a significant risk for the grape and wine industry. Research has shown that perceived smoke impact in wines correlates with increases in volatile phenols (VPs) in grapes exposed to fresh smoke.

Monitoring vineyard canopy structure by aerial and ground-based RGB and multispectral imagery analysis

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.