Modelling grape and wine quality through PLS Spline statistical method

Abstract

Started in 1994, this project intends to explain quality of grapes and wines using data of soil, climate and vineyard that are currently used in field trials. Firstly set at a national scale, it has been transferred to the Aquitaine region in 2000. The work has been conducted by the ITV institute thanks to many other partners. 2 cultivars have been considered: cvs. Merlot and cabernet sauvignon.
A set of data has been collected using different years and plots showing varied environnemental and cultural situations. Data mining used PLS Spline method. 4 models have been produced: sugar and total acids in musts, colour intensity and total polyphenolic compounds in wines. These models point out the variables that are most influent on quality and order them. A validation with plots that have not been used to build the models has been done in 2006. The prediction is of correct level and gives a potential-like result. At the same time, the models have been integrated into a better convenient tool called SPQV 1.1 software. It is aimed to farmers’s advisors.
The models do not give any prediction during the year the grapes are produced, because it uses post-harvest variables. Nevertheless they can be a helpful tool for potential zoning, plots selection or planting advising.

DOI:

Publication date: December 8, 2021

Issue: Terroir 2008

Type : Article

Authors

CLAVERIE M., PRUD’HOMME PY., MONGENDRE J., ZABOLLONE E., RAYNAL M., COULON T. (1), DURAND J.F. (2), MAZEIRAUD JF., RIVES C. (3), LAVAL C. (4), LAPORTE R. (5), FORGET D. (6)

(1) Institut Français de la Vigne et du Vin (ENTAV-ITV France), Station régionale Aquitaine, 39 rue Michel Montaigne, Blanquefort, France
(2) Laboratoire de Probabilités et Statistiques, Université de Montpellier II, Montpellier, France
(3) Chambre d’Agriculture de Lot-et-Garonne, 271 rue de Péchabout, Agen, France
(4) Chambre d’Agriculture de Dordogne, CRDA du Bergeracois, Monbazillac, France
(5) Chambre d’Agriculture des Landes, Mont de Marsan, France
(6) INRA Domaine expérimental de Couhins, Villenave d’Ornon, France

Contact the author

Keywords

vine, quality, model

Tags

IVES Conference Series | Terroir 2008

Citation

Related articles…

Similarities among wine aromas and landscape scents around the vineyard in five Mediterranean sites

We compared 68 aroma compounds in wines from 5 vineyards in order to see similarities among the wine aroma and the scent of some of the main native plants from the respective vineyards.

Physico-chemical parameters as possible markers of sensory quality for ‘Barbera’ commercial red wines

Wine quality is defined by sensory and physico-chemical characteristics. In particular, sensory features are very important since they strongly condition wine acceptability by consumers. However, the evaluation of sensory quality can be subjective, unless performed by a tasting panel of experienced tasters. Therefore, it is of great relevance to establish relationships between objective chemical parameters and sensory perceptions, even though the complexity of wine composition makes it difficult. In this sense, more reliable relationships can be found for a particular wine typology or variety. The present study aimed to predict the perceived sensory quality from the physico-chemical parameters of ‘Barbera d’Asti’ DOCG red wines (Italy).

Natural variability and vine-growers behaviour

Le vigneron est confronté à une variabilité naturelle omniprésente, liée au millésime et aux facteurs pédoclimatiques. Depuis 10 ans, en Champagne, la relation qu’entretient le vigneron avec l’espace a évolué. Les exemples d’entreprises collectives à vocation territoriale se sont multipliés : gestion de l’hydraulique viticole, maillages de groupements de conseil viticole (Magister), sites en confusion sexuelle, réseau maturation, analyses de sols par secteur, …

Influence of the “terroir” (soil, climate and wine grower) on the quality of red Grenache wines in the Rhône Valley

«L’Observatoire Grenache» est un réseau de parcelles qui a été mis en place par l’Institut Rhodanien en Vallée du Rhône sur les millésimes de 1995 à 1999. Composé de 24 parcelles de Vitis vinifera L. cv Grenache noir, ce réseau vise à étudier l’influence du terroir (sol, climat et vigneron) sur la qualité des vins. Les parcelles ont été choisies afin de représenter différentes situations géographiques et géopédologiques de la vallée du Rhône. Le matériel végétal (clone, porte-greffe), la taille (cordon de Royat), la densité et l’âge de la parcelle ont été encadrées. Ainsi les conditions de milieu (sol, climat) et les pratiques du vigneron étaient les principales sources de variations.

The commercial yeast strain as a significant source of variance for tyrosol and hydroxytyrosol in white wine

Tyrosol (TYR) and hydroxytyrosol (HYT) are bioactive phenols present in olive oil and wine, basic elements of the Mediterranean diet. TYR is reported in the literature for its interesting antioxidant, cardioprotective and anti-inflammatory properties. In wine, its concentration can reach values as high as about 40 mg/L
[Pour Nikfardjam et al. 2007] but, more frequently, this phenol – derived from yeast metabolism of tyrosine during fermentation – is present at lower levels, generally higher in red wines compared to whites. HYT was measured for the first time by Di Tommaso et al. [1998] in Italian wines – with maximum values of 4.20 mg/L and 1.92 mg/L for red and white wines, respectively – while definitely lower concentrations have been found later in Greek samples.