Terroir 2010 banner
IVES 9 IVES Conference Series 9 International Terroir Conferences 9 Terroir 2010 9 Ancient zoning in the world (T2010) 9 Utilisation de données historiques pour caractériser le millésime en cours

Utilisation de données historiques pour caractériser le millésime en cours

Abstract

Cet article propose la formalisation d’un modèle paramétrique pour représenter l’accumulation des sucres dans les baies de raisin durant la maturation. Le test de ce modèle sur des jeux de données réels a permis de valider l’approche proposée. Une seconde partie est axée sur l’adaptation de la méthode pour permettre la simulation du comportement du millésime en cours dès les premiers relevés de maturité. Ce travail possède de multiples applications dans le domaine de l’aide à la décision. English version: This paper proposes the formalization of a parametrical model in order to represent sugar accumulation in grape berries during ripening. The model was tested on real data and provides results that enable the validation of the proposed approach. The second part is based on the method accommodation to simulate the behavior of the current vintage as soon as the first maturity measurements are available. This work could have several applications in the decision support field.

DOI:

Publication date: October 1, 2020

Issue: Terroir 2010

Type: Article

Authors

Dupin Séverine (1), Tisseyre Bruno (2) , Roger Jean-Michel (1), Gobrecht Alexia (1)

(1) Joint Research Unit ITAP, Cemagref Montpellier, 361 rue Jean-François Breton – BP5095, 34196 Montpellier
cedex 05, France
(2) Joint Research Unit ITAP, Montpellier SupAgro, Batiment 21, 2 place Viala, 34060 Montpellier, France

Keywords

Grape ripening – Modelling – Simulation – Decision support

Tags

IVES Conference Series | Terroir 2010

Citation

Related articles…

Merano Wine Festival 2020

IVES was a partner of the Merano Wine Festival (innovation section), a digital event held from 6 to 10 November 2020. During this festival participants attended scientific conferences on cutting-edge topics for the wine industry. Some of the topics covered have been selected from our journals

Development and application of CRISPR/Cas in grapevine

The development and application of CRISPR (clustered regularly interspaced short palindromic repeats)/Cas (CRISPR-associated protein) technologies have revolutionized genome editing in plants due to its simplicity, high efficiency, and versatility. As an economically important fruit crop worldwide, grapevine genome editing using CRISPR/Cas technologies has also been reported these years. Here we introduce the development briefly of the most popular CRISPR/Cas9 system and also the state-of-the-art CRISPR technologies developed so far. Moreover, we summarize CRISPR/Cas9-mediated applications for gene functional study and trait improvement in grapevine.

Understanding the expression of gene families involved in anthocyanin biosynthesis during berry ripening: Tannat as a case study

The quality of wine is assessed, among other things, by its color, which is mainly due to its anthocyanin content. These pigments are polyphenols that give red, purple and blue hues depending on the relative proportion of anthocyanins produced by the action of flavonoid 3’5′ hydroxylase (delphinidin-3-glucoside, petunidin-3-glucoside, malvidin-3-glucoside) or flavonoid 3′ hydroxylase (cyanidin-3-glucoside, peonidin-3-glucoside). To study the genes involved in this biosynthetic pathway, we focused on Vitis vinifera cv. Tannat, known for producing wines with higher anthocyanin content and darker purple color compared to most red grape varieties. In this work, we have performed RNA-Seq analysis of skins during berry development, taking green and red berries at 50% veraison as separate samples, as an experimental strategy to focus on the differential expression of genes of interest.

Grapevine yield estimation in a context of climate change: the GraY model

Grapevine yield is a key indicator to assess the impacts of climate change and the relevance of adaptation strategies in a vineyard landscape. At this scale, a yield model should use a number of parameters and input data in relation to the information available and be able to reproduce vineyard management decisions (e.g. soil and canopy management, irrigation). In this study, we used data from six experimental sites in Southern France (cv. Syrah) to calibrate a model of grapevine yield limited by water constraint (GraY). Each yield component (bud fertility, number of berries per bunch, berry weight) was calculated as a function of the soil water availability simulated by the WaLIS water balance model at critical phenological phases. The model was then evaluated in 10 grapegrowers’ plots, covering a diversity of biophysical and technical contexts (soil type, canopy size, irrigation, cover crop). We identified three critical periods for yield formation: after flowering on the previous year for the number of bunches and berries, around pre-veraison and post-veraison of the same year for mean berry weight. Yields were simulated with a model efficiency (EF) of 0.62 (NRMSE = 0.28). Bud fertility and number of berries per bunch were more accurately simulated (EF = 0.90 and 0.77, NRMSE = 0.06 and 0.10, respectively) than berry weight (EF = -0.31, NRMSE = 0.17). Model efficiency on the on-farm plots reached 0.71 (NRMSE = 0.37) simulating yields from 1 to 8 kg/plant. The GraY model is an original model estimating grapevine yield evolution on the basis of water availability under future climatic conditions.  It allows to evaluate the effects of various adaptation levers such as planting density, cover crop management, fruit/leaf ratio, shading and irrigation, in various production contexts.

Optimizing disease management in the Rioja wine region: a study on Erisiphe necator and the Gubler-Thomas model

Erisiphe necator is endemic in the Rioja Appellation of Origin. Vine growers exert significant effort to protect their crops, given the economic losses this disease causes. Different studies have shown that using Gubler-Thomas Model (GTM) can reduce treatments by up to 20% compared to a full-time protection strategy. This reduction is achieved by optimizing applications based on temperature variations in late spring and summer when the disease’s conidial stage is active.