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…

Differential responses of red and white grape cultivars trained to a single trellis system – the VSP

Commercial grape production relies on training grapevine cultivars onto a variety of trellis systems. Training allows for well-lit leaves and clusters, maximizing fruit quality in addition to facilitating cultivation, harvesting, and diseases control. Although grapevines can be trained onto an infinite variety of trellis systems, most red and white cultivars are trained to the standard VSP (Vertical Shoot Positioning) system. However, red and white cultivars respond differently to VSP in fruit composition and growth characteristics, which are yet to be fully understood. Therefore, the objective of this study was to examine the influence of the VSP trellis system on fruit composition of three red, Cabernet Sauvignon, Merlot and Syrah, and three white, Chardonnay, Riesling, and Gewurztraminer cultivars grown under uniform growing conditions in the same vineyard. All cultivars were monitored for maturity and harvested at their physiologically maximum possible sugar concentration to compare various fruit quality attributes such as Brix, pH, TA, malic and tartaric acids, glucose and fructose, potassium, YAN, and phenolic compounds including total anthocyanins, anthocyanin profile, and tannins. A distinct pattern in fruit composition was observed in each cultivar. In regards to growth characteristics, Syrah grew vigorously with the highest cluster weight. Although all cultivars developed pyriform seeds, the seed size and weight varied among all cultivars. Also varied were mesocarp cell viability, brush morphology, and cane structure. This knowledge of the canopy architectural characteristics assessed by the widely employed fruit compositional attributes and growth characteristics will aid the growers in better management of the vines in varied situations.

Organic recycled mulches in sustainable viticulture: assessment of spontaneous plants communities and weed coverage

In recent years, developing more efficient and sustainable viticulture management has been essential due to the impact of climate change in semiarid regions. For this reason, the use of recycled organic mulching (ROM) in the vineyard has become an interesting strategy to cope with water stress, isolated soil from extreme temperatures and improving soil humidity, control the presence of weeds and therefore reduce the inputs of herbicides and improve soil fertility. This work aimed to analyse the effect of three different organic mulches [straw (S), grape pruning debris (GPD) and spent mushroom compost (SMC)] and two traditional soil management techniques [herbicide (H) and interrow (IN)] on weed coverage and the spontaneous plant communities’ presence. Data sampling was collected throughout the vine vegetative cycle of 2021 in La Rioja, Spain. The different soil management techniques had a clear effect on weed coverage and his development during the vine vegetative cycle. SMC and H were the treatments with the highest and the lowest coverage percentage, respectively. IN had a delayed weed emergence at the beginning of the vine vegetative cycle, but finally it reached maximum values nearby SMC. GPD and S had similar effects on weed emergence, reaching 25-30% of the maximum coverage values. A total of 29 herbaceous species were identified during the vegetative cycle, some of them very isolated and occasional. Principal component analysis (PCAs) showed a good association between spontaneous species and treatments, furthermore, specific species-treatment associations were found. Moreover, three clear groups of herbaceous communities were identified by cluster analysis. This study provides interesting information about the effect of different alternative soil management on herbaceous plant coverage and weed species communities which could contribute to making more sustainable viticulture.

VINIoT: Precision viticulture service for SMEs based on IoT sensors network

The main innovation in the VINIoT service is the joint use of two technologies that are currently used separately: vineyard monitoring using multispectral imaging and deployed terrain sensors. One part of the system is based on the development of artificial intelligence algorithms that are feed on the images of the multispectral camera and IoT sensors, high-level information on water stress, grape ripening status and the presence of diseases. In order to obtain algorithms to determine the state of ripening of the grapes and avoid losing information due to the diversity of the grape berries, it was decided to work along the first year 2020 at berry scale in the laboratory, during the second year at the cluster scale and on the last year at plot scale. Different varieties of white and red grapes were used; in the case of Galicia we worked with the white grape variety Treixadura and the red variety Mencía. During the 2020 and 2021 campaigns, multispectral images were taken in the visible and infrared range of: 1) sets of 100 grapes classifying them by means of densimetric baths, 2) individual bunches. The images taken with the laboratory analysis of the ripening stage were correlated. Technological maturity, pH, probable degree, malic acid content, tartaric acid content and parameters for assessing phenolic maturity, IPT, anthocyanin content were determined. It has been calculated for each single image the mean value of each spectral band (only taking into account the pixels of interest) and a correlation study of these values with laboratory data has been carried out. These studies are still provisional and it will be necessary to continue with them, jointly with the training of the machine learning algorithms. Processed data will allow to determine the sensitivity of the multispectral images and select bands of interest in maturation.

Terroir analysis and its complexity

Terroir is not only a geographical site, but it is a more complex concept able to express the “collective knowledge of the interactions” between the environment and the vines mediated through human action and “providing distinctive characteristics” to the final product (OIV 2010). It is often treated and accepted as a “black box”, in which the relationships between wine and its origin have not been clearly explained. Nevertheless, it is well known that terroir expression is strongly dependent on the physical environment, and in particular on the interaction between soil-plant and atmosphere system, which influences the grapevine responses, grapes composition and wine quality. The Terroir studying and mapping are based on viticultural zoning procedures, obtained with different levels of know-how, at different spatial and temporal scales, empiricism and complexity in the description of involved bio-physical processes, and integrating or not the multidisciplinary nature of the terroir. The scientific understanding of the mechanisms ruling both the vineyard variability and the quality of grapes is one of the most important scientific focuses of terroir research. In fact, this know-how is crucial for supporting the analysis of climate change impacts on terroir resilience, identifying new promised lands for viticulture, and driving vineyard management toward a target oenological goal. In this contribution, an overview of the last findings in terroir studies and approaches will be shown with special attention to the terroir resilience analysis to climate change, facing the use and abuse of terroir concept and new technology able to support it and identifying the terroir zones.

Impact of geographical location on the phenolic profile of minority varieties grown in Spain. II: red grapevines

Because terroir and cultivar are drivers of wine quality, is essential to investigate theirs effects on polyphenolic profile before promoting the implantation of a red minority variety in a specific area. This work, included in MINORVIN project, focuses in the polyphenolic profile of 7 red grapevines minority varieties of Vitis vinifera L. (Morate, Sanguina, Santafe, Terriza Tinta Jeromo Tortozona Tinta) and Tempranillo) from six typical viticulture Spanish areas: Aragón (A1), Cataluña (A2), Castilla la Mancha (A3), Castilla –León (A4), Madrid (A5) and Navarra (A6) of 2020 season. Polyphenolic substances were extracted from grapes. 35 compounds were identified and quantified (mg subtance/kg fresh berry) by HPLC and grouped in anthocyanins (ANT) flavanols (FLAVA), flavonols (FLAVO), hydroxycinnamic (AH), benzoic (BA) acids and stilbenes (ST). Antioxidant activity (AA, mmol TE /g fresh berry) was determined by DPPH method. The results were submitted to a two-way ANOVA to investigate the influence of variety, area and their interaction for each polyphenolic family and cluster analysis was used to construct hierarchical dendrograms, searching the natural groupings among the samples. Sanguina (A3) had the most of total polyphenols while Tempranillo (A5) those of ANT. Sanguina (A2) and (A3) reached the highest values of FLAVO, FLAVA and AA. These two last samples had also the maximum of AA. The effect cultivar and area were significant for all polyphenolic families analyzed. A high variability due to variety (>50%) was observed in FLAVA and the maximum value of variability due to growing area was detected in AA (86.41%), ANT and FLAVO (51%); the interaction variety*zone was significant only for ANT, FLAVO, EST and AA. Finally, dendrograms presented five cluster: i) Sanguina (A2); ii) Sanguina (A3); iii) Tempranillo (A5); iv) Tempranillo (A3); Terriza (A3,A5), Morate (A5,A6); v) Santafé (A1,A6); Tortozona tinta (A1,A3,A6); Tinta Jeromo (A3,A4).