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…

Data mining approaches for time series data analysis in viticulture. Potential of the bliss (Bayesian functional linear regression with sparse step functions) method to identify temperature effects on yield potential

Context and purpose of the study – Vine development, and hence management, depends on dynamic factors (climate, soil moisture, cultural practices etc.) whose impact can vary depending upon their temporal modalities.

Evaluation of wood starch content on bench grafting success rate in grapevine

Since the emergence of phylloxera, grafting has been the most used propagation method in viticulture. Despite all the improvement measures implemented in the nurseries, it is frequent that graft success rates vary depending on the nursery process and scion/rootstock combinations. The reasons behind this unsatisfactory behaviour are still unknown and can be diverse, although carbohydrate reserves might be hypothesised to be crucial, since callus, root, and new tissue formation will be built based on them. In order to identify the effect of carbohydrates on grafting success, nine combinations were established based on the starch content in grapevine scionwoods (cv. Tempranillo clone VN69) and rootstocks cuttings (110 Richter clone 237) used for grafting: Low (L), Medium (M), High (H).

Grape stems as preservative in Tempranillo wine

SO2 is the most widely used preservative in the wine industry. However, there are several drawbacks related with the use of SO2 in wine such as its toxicity and the unpleasant odor in case of excess.

Isolation, biofilm formation and control of the wine spoilage yeast Brettanomyces bruxellensis

Brettanomyces bruxellensis, commonly referred to as “Brett,” is one of the most notorious microorganisms implicated in wine spoilage. This yeast species has developed a noteworthy resistance to sulfur dioxide, a widely used preservative in winemaking, prompting the wine industry to seek new antimicrobial agents.

ALCOHOLIC FERMENTATION DRIVES THE SELECTION OF OENOCOCCUS OENI STRAINS IN WINE

Oenococcus oeni is the predominant lactic acid bacteria species in wine and cider, where it performs the malolactic fermentation (MLF) (Lonvaud-Funel, 1999). The O. oeni strains analyzed to date form four major genetic lineages named phylogroups A, B, C and D (Lorentzen et al., 2019). Most of the strains isolated from wine, cider, or kombucha belong to phylogroups A, B+C, and D, respectively, although B and C strains were also detected in wine (Campbell-Sills et al., 2015; Coton et al., 2017; Lorentzen et al., 2019;