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…

Downscaling of remote sensing time series: thermal zone classification approach in Gironde region

In viticulture, the challenges of local climate modelling are multiple: taking into account the local environment, fine temporal and spatial scales, reliable time series of climate data, ease of implementation and reproducibility of the method. At the local scale, recent studies have demonstrated the contribution of spatialization methods for ground-based climate observation data considering topographic factors such as altitude, slope, aspect, and geographic coordinates (Le Roux et al, 2017; De Rességuier et al, 2020). However, these studies have shown questions in terms of the reproducibility and sustainability of this type of climate study. In this context, we evaluated the potential of MODIS thermal satellite images validated with ground-based climate data (Morin et al, 2020). Previous studies have been encouraging, but questions remain to be explored at the regional scale, particularly in the dynamics of the massive use of bioclimatic indices to classify the climate of wine regions. The results at the local scale were encouraging, but this approach was tested in the current study at the regional scale. Several objectives were set: 1) to evaluate the downscaling method for land surface temperature time series, 2) to identify regional thermal structure variations. We used weekly minimum and maximum surface temperature time series acquired by MODIS satellites at a spatial resolution of 1000 m and downscaled at 500 m using topographical variables. Two types of analyses were performed:

Second pruning as a strategy to delay maturation in cv. ‘Touriga nacional’ in the Portuguese Douro region

The advance in maturation of wine grapes is an important climate change risk related effect that could affect warm regions like Portuguese Douro Wine Region. Indeed, the climate analysis over the past years registered a decrease in the precipitation, significant higher average temperatures, and a more frequent occurrence of extreme weather events, including heat waves. In these conditions the length from anthesis until maturation is shortened and the uncoupling of technical and phenolic maturity results in berries with higher sugar concentration (and lower acidity), but lower anthocyanins, tannins, and total phenolic concentration, which produce unbalanced wines.
In this work, an innovative strategy of crop forcing, based on forcing vine regrowth after a second pruning of green shoots, was tested, aimed at delaying ripening until the temperature becomes lower and, therefore, preventing acidity loss and increasing anthocyanin-to-sugar ratio. The experiments were conducted in 2019 and 2020 in a commercial vineyard of ‘Touriga Nacional’ located in the Douro Region. Crop forcing was conducted 15 (CF1) to 30 (CF2) days after fruit set. Vines pruned with conventional methods were used as control (CF0). Results confirmed that fruit ripening was shifted from the hot season (August/September), until a cooler period (October through early-November). At harvest, grapevine berries from CF1 and CF2 presented lower pH and higher acidity, than control, with no significant differences in colour intensity and phenolic levels composition. Sugar content was lower in CF2-treated vines in both seasons. However, in CF-treated vines the number and size of clusters were significantly lower (up to 88% reduction) than in control plants. A metabolomics analysis of mature berries from CF-treated vines and control is underway. Crop forcing was indeed effective in producing a more balance berry composition but severely reduced grapevine yield,

Impact on leaf morphology of Vitis vinifera L. cvs Riesling and Cabernet Sauvignon under Free Air Carbon dioxide Enrichment (FACE)

Atmospheric carbon dioxide (CO2) concentration has continuously increased since pre-industrial times from 280 ppm in 1750, and is predicted to exceed 700 ppm by the end of 21st century. For most of C3 plant species elevated CO2 (eCO2) improve photosynthetic apparatus results in an increased plant biomass production. To investigate the effects of eCO2 on morphological leaf characteristics the two Vitis vinifera L. cultivars, Riesling and Cabernet Sauvignon, grown in the Geisenheim VineyardFACE (Free Air Carbon dioxide Enrichment) system were used. The FACE site is located at Geisenheim University (49° 59′ N, 7° 57′ E, 94 m above sea level), Germany and was implemented in 2014 comparing future atmospheric CO2-concentrations (eCO2, predicted for the mid-21st century) with current ambient CO2-conditions (aCO2). Experiments were conducted under rain-fed conditions for two consecutive years (2015 and 2016). Six leaves per repetition of the CO2 treatment were sampled in the field and immediately fixed in a FAA solution (ethanol, H2O, formaldehyde and glacial acetic acid). After 24 h leaf samples were transferred and stored in an ethanol solution. Subsequently, leaf tissue was dehydrated using ethanol series and embedded in paraffin. By using a rotary microtomesections of 5 µm were prepared and fixed on microscopic slides. Subsequent the samples were stained using consecutive staining and washing solutions. Afterwards pictures of the leaf cross-sections were taken using a light microscope and consecutive measurements were conducted with an open source image software. Differences found in leaf cross-sections of the two CO2 treatments were detected for the palisade parenchyma. Leaf thickness, upper and lower epidermis and spongy parenchyma remained less affected under eCO2 conditions. The observed results within grapevine leaf tissues can provide first insights to seasonal adaptation strategies of grapevines under future elevated CO2 concentrations.

Influence of grapevine rootstock/scion combination on rhizosphere and root endophytic microbiomes

Soil is a reservoir of microorganisms playing important roles in biogeochemical cycles and interacting with plants whether in the rhizosphere or in the root endosphere. The composition of the microbial communities thus impacts the plant health. Rhizodeposits (such as sugar, organic and amino acids, secondary metabolites, dead root cells …) are released by the roots and influence the communities of rhizospheric microorganisms, acting as signaling compounds or carbon sources for microbes. The composition of root exudates varies depending on several factors including genotypes. As most of the cultivated grapevines worldwide are grafted plants, the aim of this study was to explore the influence of rootstock and scion genotypes on the microbial communities of the rhizosphere and the root endosphere. The work was conducted in the GreffAdapt plot (55 rootstocks x 5 scions), in which the 275 combinations have been planted into 3 blocks designed according to the soil resistivity. Samples of roots and rhizosphere of 10 scion x rootstock combinations were first collected in May among the blocks 2 and 3. The quantities of bacteria, fungi and archaea have been assessed in the rhizosphere by quantitative PCR, and by cultivable methods for bacteria and fungi. The communities of bacteria, fungi and arbuscular mycorrhizal fungi (AMF) was analyzed by Illumina sequencing of 16S rRNA gene, ITS and 28S rRNA gene, respectively. The level of mycorrhization was also evaluated using black ink coloration of newly formed roots harvested in October. The level of bacteria, fungi and archaea was dependent on rootstock and scion genotypes. A block effect was observed, suggesting that the soil characteristics strongly influenced the microorganisms from the rhizosphere and root endosphere. High-throughput sequencing of the different target genes showed different communities of bacteria, fungi and AMF associated with the scion x rootstock combinations. Finally, all the combinations were naturally mycorrhized. The root mycorrhization intensity was influenced by the rootstock genotype, but not by the scion one. Altogether, these results suggest that both rootstock and scion genotypes influence the rhizosphere and root endophytic microbiomes. It would be interesting to analyze the biochemical composition of the rhizodeposition of these genotypes for a better understanding of the processes involved in the modulation of these microbiomes. Moreover, crossing our data with the plant agronomic characteristics could provide insights into their roles on plant fitness.

Grapevine varietal diversity as mitigation tool for climate change: Agronomic and oenologic potential of 14 foreign varieties grown in Languedoc region (France)

Climate change effects in Languedoc include an expected rise in temperatures, increased evapotranspiration as well as more severe and frequent climatic hazards, such as frost, drought periods and heat waves. For winegrowers theses phenomena impact both yield and quality, resulting in more frequent unbalanced wines. Research on identified mitigation tools for vineyard management is necessary to improve resilience of grapevine agrosystems. Varietal assortment is one of them. This study focuses on agronomic and oenologic potential of 14 foreign varieties grown in Languedoc French region. Fourteen grapevine varieties were monitored during 2021 from June until harvest on eight different sites, some of which occurring on more than one site adding up to 21 different modalities: 7 white varieties Alvarinho B, Assyrtiko B (2), Malvasia Istriana B, Parellada B, Verdejo B, Verdelho B, Xarello B, and 7 black varieties Saperavi N (2), Touriga nacional N, Baga N, Aleatico N, Montepulciano N (2), Primitivo N (3), Calabrese N (3). Varietals were compared through the following parameters: phenology was assessed by using the information collected in the Database Network of French Vine Conservatories (INRAE-SupAgro-IFV, 2005-2015). The number of inflorescences for shoots from secondary buds and bourillons and suckers were observed to assess post-bud break frost tolerance potential. Grapevine water status was studied through stem water potential measurement, observation of foliage symptoms of drought, and 𝛿13C on must. Frequencies and intensities of downy mildew, powdery mildew, and black rot attacks were estimated before harvest on leaves and clusters and botrytis at harvest to assess disease susceptibilities. Berry composition was monitored from end of veraison until harvest. Yield and mean bunch weight were also calculated. Varieties were then ranked on a 1-4 scale for each parameter and compared through PCA. Forty two stations of the Mediterranean basin were compared by PCA with the Multicriteria Climatic Classification indicators in order to confront the collected information during 2021 campaign to the hypothesis that plants coming from dry and hot regions are genetically adapted to such climatic conditions.