Terroir 1996 banner
IVES 9 IVES Conference Series 9 Caractérisation des terroirs viticoles champenois

Caractérisation des terroirs viticoles champenois

Abstract

Le vignoble champenois s’étend sur 35 300 ha en Appellation d’Origine Contrôlée dont 30 000 sont en production. Il couvre principalement 3 départements: par ordre d’importance, la Marne (68 % de la superficie en appellation), l’Aube (22 %) et l’Aisne (10 %), et de manière plus anecdotique la Haute Marne et la Seine et Mame. C’est un vignoble jeune (pour plus de la moitié de la superficie, les viticulteurs n’ont l’expérience que d’une seule génération de vignes), et morcelé (plus de la moitié des exploitations s’étendent sur moins de 1 ha; la taille moyenne d’une parcelle cadastrale est de 12 ares). En 1990, le Comité Interprofessionnel du Vin de Champagne (CIVC) a lancé une opération de zonage du vignoble champenois à l’échelle de 1/25 000ème (MONCOMBLE et PANIGAI, 1990). Cet organisme, qui assure à la fois des missions de recherche et de développement en matière viticole en Champagne, s’est alors trouvé confronté à 2 types de problèmes concernant son réseau expérimental actuel:

– il est difficile d’extrapoler les données issues d’une parcelle expérimentale à une zone plus large pour établir des cartes thématiques sur l’ensemble du vignoble. Pour pouvoir extrapoler ces résultats ponctuels, il faudrait définir la parcelle expérimentale par des caractéristiques qu’il est possible de spatialiser, par exemple des unités de terroir.
– il est parfois difficile de répondre précisément par manque de référence à des problèmes que les viticulteurs soumettent au CIVC. Les réponses pourraient être affinées s’il était possible de rattacher avec un minimum de données facilement accessibles (sondages à la tarière, mesure de la pente et de l’orientation, etc.) la parcelle du viticulteur qui pose problème à un site expérimental où les informations sont plus exhaustives.

L’objectif est donc de :
– définir des unités de terroir homogène de manière objective et reproductible,
– choisir, au sein de ces unités, des sites représentatifs où il serait possible d’implanter des observatoires de la vigne. Ces observatoires permettront de décrire et de mieux comprendre le fonctionnement de la vigne, voire de caractériser le type de vin pour une année donnée, en relation avec le terroir.
La mise en place de ce réseau impliquera une reconfiguration du réseau expérimental actuel du CIVC. L’objectif n’est pas de multiplier les parcelles expérimentales, ce qui deviendrait ingérable, mais de concentrer sur une trentaine de sites dispersés dans tout le vignoble un maximum de mesures et d’analyses en fonction des conditions de milieu naturel bien définies. Cela n’empêchera pas de conserver quelques sites expérimentaux plus “légers”, pour mieux comprendre la répartition spatiale de certains phénomènes. L’objectif est d’aboutir à 3 niveaux d’analyse:
– les observatoires qui représenteront le niveau le plus fin, mais dont le nombre sera limité à une trentaine de sites. Ce réseau expérimental sera une plate-forme commune et normalisée d’expérimentation à long terme (10 à 15 ans) et deviendra un véritable outil d’aide à la gestion appliquée des vignes. On peut estimer qu’en une quinzaine d’années, le modèle entre la plante et son environnement, selon un type d’année climatique, sera suffisamment stable et robuste pour être utilisable et extrapolable.
– un réseau d’expérimentation “plus léger” concernant certaines thématiques. Comme précédemment, ce réseau sera normalisé. On cherche en effet à éviter les problèmes d’interprétation des résultats à cause de données manquantes.
– des enquêtes réalisées auprès des viticulteurs qui permettent d’avoir de manière rapide une information spatiale sur l’ensemble du vignoble mais dont l’exploitation est parfois difficile du fait d’un manque de référentiel commun.
Les étapes de notre travail (Doledec, 1995) ont été :
– définir l’objet d’étude, “le terroir”, et informatiser les données disponibles. Le terroir est défini comme un ensemble de facteurs du milieu naturel en interaction (sol, sous-sol, relief). Compte tenu de l’hétérogénéité des parcelles (la superficie moyenne d’une parcelle cadastrale est de 12 ares), il est impossible de prendre en compte l’impact de l’homme, notamment par ses techniques culturales pour l’ensemble du vignoble champenois.
– estimer la qualité du jeu de données. Les données issues de la carte des sols font plus spécialement l’objet d’une étude de la justesse des notations utilisées par les techniciens. La comparaison entre la typologie de solums effectuées par le pédologue et celle issue d’une classification statistique permet d’affiner la carte des sols.
– déterminer les composantes principales des terroirs. Le choix de ces composantes repose sur la disponibilité de données informatisables et sur la connaissance d’avis d’experts mettant en évidence la relation entre des paramètres du milieu naturel et le comportement de la vigne.
– croiser les modalités des composantes principales des terroirs, pour aboutir à une carte des terroirs à 1/25000ème. Cette carte a été comparée à un zonage de la précocité de la vigne réalisé par des viticulteurs sur une commune.
– choisir, d’après la carte des terroirs obtenue, des sites potentiels pour l’implantation d’observatoires de la vigne.

DOI:

Publication date: March 25, 2022

Type: Poster

Issue: Terroir 1996

Authors

ANNE FRANCE DOLEDEC (1), M.C. GIRARD (2), D. MONCOMBLE (1), L. PANIGAI (1), M.C. VIRION (1)

(1) Comité Interprofessionnel du Vin de Champagne, 5, rue Henri Martin, 51204 Epemay
(2) Institut National Agronomique, 78850 Thivervai Grignon

Tags

IVES Conference Series | Terroir 1996

Citation

Related articles…

1H-NMR-based Metabolomics to assess the impact of soil type on the chemical composition of Mediterranean red wines

The aim of this study was to evaluate the effects of different soil types on the chemical composition of Mediterranean red wines, through untargeted and targeted 1H-NMR metabolomics. One milliliter of raw wine was analyzed by means of a Bruker Avance II 400 spectrometer operating at 400.15 MHz. The spectra were recorded by applying the NOESYGPPS1D pulse sequency, to achieve water and ethanol signals suppression. No modification of the pH was performed to avoid any chemical alteration of the matrix. The generation of input variables for untargeted analysis was done via bucketing the spectra. The resulting dataset was preprocessed prior to perform unsupervised PCA, by means of MetaboAnalyst web-based tool suite. The identification of compounds for the targeted analysis was performed by comparison to pure compounds spectra by means of SMA plug-in of MNova 14.2.3 software. The dataset containing the concentrations (%) of identified compounds was subjected to one-way analysis of variance (ANOVA) to highlight significant differences among the wines. The untargeted analysis, carried out through the PCA, revealed a clear differentiation among the wines. The fragments of the spectra contributing mostly to the separation were attributed to flavonoids, aroma compounds and amino acids. The targeted analysis leaded to the identification of 68 compounds, whose concentrations were significant different among the wines. The results were related to soils physical-chemical analysis and showed that: 1) high concentrations of flavan-3-ols and flavonols are correlated with high clay content in soils; 2) high concentrations of anthocyanins, amino acids, and aroma compounds are correlated with neutral and moderately alkaline soil pH; 3) low concentrations of flavonoids and aroma compounds are correlated with high soil organic matter content and acidic pH. The 1H-NMR metabolomic analysis proved to be an excellent tool to discriminate between wines originating from grapes grown on different soil types and revealed that soils in the Mediterranean area exert a strong impact on the chemical composition of the wines.

A better understanding of the climate effect on anthocyanin accumulation in grapes using a machine learning approach

The current climate changes are directly threatening the balance of the vineyard at harvest time. The maturation period of the grapes is shifted to the middle of the summer, at a time when radiation and air temperature are at their maximum. In this context, the implementation of corrective practices becomes problematic. Unfortunately, our knowledge of the climate effect on the quality of different grape varieties remains very incomplete to guide these choices. During the Innovine project, original experiments were carried out on Syrah to study the combined effects of normal or high air temperature and varying degrees of exposure of the berries to the sun. Berries subjected to these different conditions were sampled and analyzed throughout the maturation period. Several quality characteristics were determined, including anthocyanin content. The objective of the experiments was to investigate which climatic determinants were most important for anthocyanin accumulation in the berries. Temperature and irradiance data, observed over time with a very thin discretization step, are called functional data in statistics. We developed the procedure SpiceFP (Sparse and Structured Procedure to Identify Combined Effects of Functional Predictors) to explain the variations of a scalar response variable (a grape berry quality variable for example) by two or three functional predictors (as temperature and irradiance) in a context of joint influence of these predictors. Particular attention was paid to the interpretability of the results. Analysis of the data using SpiceFP identified a negative impact of morning combinations of low irradiance (lower than about 100 μmol m−2 s−1 or 45 μmol m−2 s−1 depending on the advanced-delayed state of the berries) and high temperature (higher than 25oC). A slight difference associated with overnight temperature occurred between these effects identified in the morning.

Projected changes in vine phenology of two varieties with different thermal requirements cultivated in La Mancha DO (Spain) under climate change scenarios

The aim of this work was to analyze the phenology variability of Tempranillo and Chardonnay cultivars, related to the climatic characteristics in La Mancha Designation of Origin, and their potential changes under climate change scenarios. Phenological dates referred to budbreak, flowering, veraison and harvest were analyzed for the period 2000-2019. The weather conditions at daily time scale, recorded during the same period, were also evaluated. The thermal requirements to reach each of these phenological stages were calculated and expressed as the GDD accumulated from DOY=60. Changes in phenology were projected by 2050 and 2070 taking into account those values and the projected temperatures and precipitation, simulated under two Representative Concentration Pathway (RCP) scenarios –RCP4.5 and RCP8.5– using an ensemble of models. The average phenological dates during the period under study were, April 16th ± 6.6 days and April 5th ± 6.0 days for budbreak, May 31st ± 6.0 days and May 27th ± 5.3 days for flowering, July 26th ± 5.6 days and July 25th ± 5.8 days for veraison, and Ago 23rd ± 10.8 days and Ago 17th ± 9.0 days for harvest, respectively, for Tempranillo and Chardonnay. The projected changes in temperature imply an average change in the maximum growing season (April-August) temperatures of 1.2 and 1.9°C by 2050, and 1.6 and 2.6°C by 2070, under the RCP4.5 and RCP8.5 scenarios, respectively. A reduction in precipitation is predicted, which vary between 15% for 2050 under RCP4.5 scenario and up to 30% by 2070 under RCP8.5. The advance of the phenological dates for 2050, could be of 6, 7, 7, and 8 days for Tempranillo and 4, 6, 6 and 9 days for Chardonnay, respectively for budbreak, flowering, veraison and harvest under the RCP4.5 scenario. Under the RCP8.5 emission scenario, the advance could be up to 30% higher.

Delaying irrigation initiation linearly reduces yield with little impact on maturity in Pinot noir

When to initiate irrigation is a critical annual management decision that has cascading effects on grapevine productivity and wine quality in the context of climate change. A multi-site trial was begun in 2021 to optimize irrigation initiation timing using midday stem water potential (ψstem) thresholds characterized as departures from non-stressed baseline ψstemvalues (Δψstem). Plant material, vine and row spacing, and trellising systems were concomitant among sites, while vine age, soil type, and pruning systems varied. Five target Δψstem thresholds were arranged in an RCBD and replicated eight times at each site: 0.2, 0.4, 0.6, 0.8, and 1.0 MPa (T1, T2, T3, T4, and T5, respectively). When thresholds were reached, plots were irrigated weekly at 70% ETc. Yield components and berry composition were quantified at harvest. To better generalize inferences across sites, data were analyzed by ANOVA using a mixed model including site as a random factor. Across sites, irrigation was initiated at Δψstem = 0.24, 0.50, 0.65, 0.93, and 0.98 MPa for T1, T2, T3, T4, and T5, respectively. Consistent significant negative linear trends were found for several key yield and berry composition variables. Yield decreased by 12.9, 15.9, 19.5, and 27.4% for T2, T3, T4, and T5, respectively, compared to T1 (p < 0.0001) across sites that were driven by similarly linear reductions in berry weight (p < 0.0001). Comparatively, berry composition varied little among treatments. Juice total soluble solids decreased linearly from T1 to T5 – though only ranged 0.9 Brix (p = 0.012). Because producers are paid by the ton, and contracts simply stipulate a target maturity level, first-year results suggest that there is no economic incentive to induce moderate water deficits before irrigation initiation, regardless of vineyard site. Subsequent years will further elucidate the carryover effects of delaying irrigation initiation on productivity over the long term.

Grape berry size is a key factor in determining New Zealand Pinot noir wine composition

Making high quality but affordable Pinot noir (PN) wine is challenging in most terroirs and New Zealand’s (NZ) situation is no exception. To increase the probability of making highly typical PN wines producers choose to grow grapes in cool climates on lower fertility soils while adopting labour intensive practices. Stringent yield targets and higher input costs necessarily mean that PN wine cost is high, and profitability lower, in line-priced varietal wine ranges. To understand the reasons why higher yielding vines are perceived to produce wines of lower quality we have undertaken an extensive study of PN in NZ. Since 2018, we established a network of twelve trial sites in three NZ regions to find individual vines that produced acceptable commercial yields (above 2.5kg per vine) and wines of composition comparable to “Icon” labels. Approximately 20% of 660 grape lots (N = 135) were selected from within a narrow juice Total Soluble Solids (TSS) range and made into single vine wines under controlled conditions. Principal Component Analysis of the vine, berry, juice and wine parameters from three vintages found grape berry mass to be most effective clustering variable. As berry mass category decreased there was a systematic increase in the probability of higher berry red colour and total phenolics with a parallel increase in wine phenolics, changed aroma fraction and decreased juice amino acids. The influence of berry size on wine composition would appear stronger than the individual effects of vintage, region, vineyard or vine yield. Our observations support the hypothesis that it is possible to produce PN wines that fall within an “Icon” benchmark composition range at yields above 2.5kg per vine provided that the Leaf Area:Fruit Weight ratio is above 12cm2 per g, mean berry mass is below 1.2g and juice TSS is above 22°Brix.