Terroir 2010 banner
IVES 9 IVES Conference Series 9 Terroir characterization from cv. Merlot and Sauvignon plots follow-up within the scope of wine-production : “Vins de Pays Charentais” in the Cognac eaux-de-vie vineyard area

Terroir characterization from cv. Merlot and Sauvignon plots follow-up within the scope of wine-production : “Vins de Pays Charentais” in the Cognac eaux-de-vie vineyard area

Abstract

[English version below]

Dans les études des terroirs, il est souvent délicat d’établir des zonages et de mesurer les effets de l’environnement sur les vins. Avec plus d’un million d’hectares dans l’aire d’appellation délimitée, le terroir du célèbre vignoble de Cognac est bien connu pour ces eaux-de-vie et ainsi divisé en 6 crus.
Cette étude vise à décrire le terroir des Vins de Pays Charentais (VPC) produits dans le vignoble Cognaçais. Les principaux cépages spécifiquement destinés à la production de VPC (Merlot et Sauvignon blanc) ont été étudiés en collectant de nombreuses données sur 5 millésimes et 35 parcelles représentant la diversité agro-pédo-climatique de la région. Comme souvent dans les essais au champ les expérimentateurs ont été confrontés à de multiples facteurs croisés et de nombreux paramètres ont été suivis. A ce stade, peu de données climatiques ont été introduites et les données de dégustation n’ont pas été incluses.
Une expertise préliminaire a permis de sélectionner certaines variables, classées en 4 groupes distincts : données climatiques et pédologiques, matériel végétal, phénologie et vinification.
L’analyse statistique exploratoire a fait ressortir certaines variables influentes, par exemple l’ère géologique et le type de sol, qui distinguent des unités cohérentes d’un point de vue géographique notamment les îles de Ré et d’Oléron. Le comportement des vignes VPC est ensuite étudié sur chacune de ces unités afin de définir ces terroirs viticoles.
Les groupes de parcelles destinées à la production de vin semblent concorder pour une bonne part aux crus des eaux de vie de Cognac même si le cépage et le type de produit diffèrent. Ces résultats vont permettre de réfléchir sur différents moyens d’optimiser l’effet terroir par les pratiques des producteurs de VPC sur les différents terroirs.

Zoning and understanding the effects of the environment expressed in vine products has always been a difficult work to start off with terroir. Thus, with more than one million hectares in the delimited appellation area, the famous Cognac vineyard terroir is well-known for eaux-de-vie and divided in 6 vintages areas since the beginning of the 20th century.
This project aims at describing the terroir for wines named “Vins de Pays Charentais” (VPC) produced in the Cognac vineyard. Main cultivars specifically used to produce VPC (Merlot and Sauvignon Blanc) were studied by collecting a set of data, using 6 years and 35 plots to represent the diversity of environmental and cultural situations in the area. As often in field trials, experimenters were confronted with many crossed factors and numerous variables were measured. At this stage, only few climatic data is available. A preliminary expertise allowed to choose some of the variables sorted in 4 distinctive groups : soil and climate data, plant material, vine cycle and grapes and then wine-making process. Tasting data was not taken into account regarding as its robustness.
The statistical exploratory analysis brought out some influential variables, as for example geological era and soil type, that clearly segregate coherent geographic units, notably Ré and Oléron islands which are breaking away. From then on, to define various “wine-terroirs” these clusters should each correspond to consistent VPC grapevine behavior and wines.
Most climatic data still has to be crossed with the plots groups sorted, but the clusters of wine producing plots already appears to tally, at least partly, Cognac firewater vineyards classification even if cultivars and type of product differ. These results allow to consider various means to optimize terroir effect by VPC winegrowers’ practices on each plot, depending on its cluster.

DOI:

Publication date: December 3, 2021

Issue: Terroir 2010

Type: Article

Authors

BERNARD F.M. (1), PREYS S. (2), GIRARD M. (3) & MORNET L. (4)

(1) IFV, Institut Français de la Vigne et du vin, 15 Rue Pierre Viala, 16130, Segonzac, France
(2) Ondalys, 385 Avenue des Baronnes, 34730, Prades-Le-Lez, France
(3) Chambre d’Agriculture de Charente-Maritime, 3 Boulevard Vladimir, 17100, Saintes, France
(4) Chambre d’Agriculture de Charente, 25 Rue de Cagouillet, 16100, Cognac, France

Contact the author

Keywords

Vins de Pays Charentais, Merlot, Sauvignon, Terroir viticole, Sol, Millésime
Vins de Pays Charentais, Merlot, Sauvignon, Wine-terroir, Soil, Vintage

Tags

IVES Conference Series | Terroir 2010

Citation

Related articles…

A multidisciplinary approach to evaluate the effects of the training system on the performance of “Aglianico del Vulture” vineyards

Vineyards are complex agro-ecosystems with high spatial and temporal variability. An efficient training system may counteract the adverse effects of this variability. Moreover, considering the climate change issues, choosing an efficient training system that enhances water use and protects the vines from radiative thermal stress has become a priority for the farmers. A multidisciplinary approach that assesses the soil-crop-yield-wine relationships of vineyards in a distributed and holistic way could bring added knowledge on the behavior of the different training systems. This ongoing research aimed to implement a multidisciplinary approach to study the behavior of “Aglianico del Vulture” grapevines trained with two different systems: a spurred cordon (SC) and an “Alberello in parete” (AL), grown in a high-quality wine production area of Basilicata region (Italy). The approach merged several methods and scales of soil, ecophysiology, must/wine quality, and spectral data collection to assess the influence of the training system. Homogeneous zones (HZs) in both training systems were defined through a procedure based on geomorphological classification, unmanned aerial vehicles (UAV) images analysis, and a traditional soil survey supported by geophysical scanning. During the 2021 season, TDR probes monitored soil water content, while grapevine health status was assessed using eco-physiological measurements (LWP, chlorophyll content, PSII photosynthetic efficiency, LAI, and point-based field spectroscopy). These grapevine in-vivo measurements validated the spectral vegetation indexes (NDVI, RENDVI, CVI, and TVI) derived from the UAV multispectral imagery, which monitored the grapevine status in a distributed and non-invasive way. Grape yield, quality of berries, must and wine were measured to assess the effects of the training systems. The first experimental year results showed the variability of the vineyards and revealed relationships among soil parameters, crop characteristics, and vegetation indices of the SC and AL training systems. This multidisciplinary study could bring new insights into the vineyard training system’s effects on grape yield and wine quality.

Green berries on Gewürztraminer (Vitis vinifera L.) in South Tyrol (Italy)

The grape variety Gewürztraminer is known to be affected by two physiological disorders namely berry shrivel and bunch stem necrosis. During the season 2014 we noticed a new symptomatology type of ripening disorder on the variety. The new symptom showed not all berries fallowing the normal maturation stages, but single berries remaining at a soft but green stage till harvest. The broad distribution of these so called “green berries” symptoms in different production sites of our region, caused huge damage due to the difficulty of eliminating single berries per bunch before harvesting. Therefore, the Research Centre Laimburg began to investigate the reasons and origins of this new symptom. This work shows the results of first attempts to find causes for the symptom as well as the resulting approach to mitigate symptoms. Applications of magnesium leaf fertilizer showed first promising results against this putative disorder. To study the causal effect of the green berries 30 symptomatic vineyards in 2014 have been selected for a monitoring during the season 2016. To evaluate the foliar nutrient treatment two vineyards have been selected for application of magnesium sulfate and magnesium chloride. Leaf and berry nutrient analysis, as well as the main quality parameters during ripening have been performed. As soon as “green berries” symptoms appeared, incidence and severity have been evaluated. Most of the symptomatic vineyards of the 2016 monitoring showed light to clear magnesium deficit symptoms on their foliage. Only during the seasons 2020 and 2021 “green berries” symptoms could be found in the leaf fertilizer treatment vineyards. Both seasons showed a significant effect of the magnesium treatments to reduce the incidence and severity of the symptom. It seems that the appearance of the “green berries” symptom on Gewürztraminer is correlated to a disturbed uptake of magnesium of the vines.

Pruned vine biomass exclusion from a clay loam vineyard soil – examining the impact on physical/chemical properties

The wine industry worldwide faces increasing challenges to achieve sustainable levels of carbon emission mitigation. This project seeks to establish the feasibility of harvesting winter pruned vineyard biomass (PVB) for potential use in carbon footprint reduction, through its use as a renewable biofuel for energy production. In order to make this recommendation, technical issues such as the potential environmental impact, chemical composition and fuel suitability, and logistical challenges of harvesting biomass needs to be understood to compare with the results from similar studies. Of particular interest is the role PVB plays as a carbon source in vineyard soils and what effect annual removal might have on soil carbon sequestration. A preliminary trial was established in the Waite Campus vineyard (University of Adelaide) to test current management strategies. Vines are grown in a Eutrophic, Red Dermosol clay loam soil with well managed midrow swards. A comparison was undertaken of mid-row treatments in two 0.25 Ha blocks (Shiraz and Semillon), including annual cultivation for seed bed preparation, the deliberate exclusion of PVB (25 years) and incorporation of PVB (13 years) at an average of 3.4 and 5.5 Mg/Ha-1 for Shiraz and Semillon respectively. In both 0-10cm and 10-30cm soil core sample depths, combined soil carbon % measures in the desired range of 1.80 to 3.50, were not significantly different between treatments or cultivars and yielded an estimated 42 Mg/ha-1 of sequestered soil carbon. Other key physical and chemical measures were likewise not significantly different between treatments. Preliminary results suggest that in a temperate zone vineyard, managed such as the one used in this study, there is no long term negative impact on soil carbon sequestration through removing PVB. This implies that growers could confidently harvest PVB for use in several end fates including as a bio fuel.

Grape must quality and mesoclimatic variability in Fruška Gora wine-growing region, Serbia

The Fruška Gora mountain is a traditional wine-growing region in Serbia situated in the Pannonian Basin. Due to such a position, the vicinity of the Danube River and the presence of concave configuration, it is suitable for grape production. This paper provides analyses of spatial variations in meteorological parameters and grape juice quality within Fruška Gora wine region over three consecutive vintages (2018-2020). The examined period can be defined as warm with cool nights during September (AVG 18,9°C; GDD 1918°C; CI 12°CF) and with the presence of mesoclimatic variability. The East part of the study area was somewhat drier and hotter compared to other parts of the region. The analyses of grape must samples (190 in total) of five cultivars (Cabernet-Sauvignon, Merlot, Chardonnay, Sauvignon blanc and Grašac (Welschriesling)) commonly grown across the region (19 sites), were performed using Fourier Transform Infrared Technology (FTIR). Among all cultivars, Sauvignon blanc was harvested first in the East area (DOY=246±5, GDD at harvest=1552±74, 22.2±0.7 °Brix), while the latest harvest was recorded for Cabernet-Sauvignon in the West (DOY=283±5, GDD at harvest=1936±187, 23.4±1.0 °Brix ). Both the red and white cultivars had higher acidity and YAN in the grape must if the vines were grown in the North and East compared to South and West areas. According to PCA analysis, Grašac showed the lowest variation in grape must chemical composition. Thus, the results confirm that Grašac is the most stable cultivar in Fruška Gora. All monitored cultivars reached technological fruit ripeness by the end of the growing season. However, it was difficult to reach full ripeness of red cultivars, mostly beacuse of uncoupling of technolocical and phenolic ripeness. Thus, Cabernet-Sauvignon had higher variations in GDD sums at harvest compared to other cultivars, which probably increased variations in grape must quality.

Grapevine sugar concentration model in the Douro Superior, Portugal

Increasingly warm and dry climate conditions are challenging the viticulture and winemaking sector. Digital technologies and crop modelling bear the promise to provide practical answers to those challenges. As viticultural activities strongly depend on harvest date, its early prediction is particularly important, since the success of winemaking practices largely depends upon this key event, which should be based on an accurate and advanced plan of the annual cycle. Herein, we demonstrate the creation of modelling tools to assess grape ripeness, through sugar concentration monitoring. The study area, the Portuguese Côa valley wine region, represents an important terroir in the “Douro Superior” subregion. Two varieties (cv. Touriga Nacional and Touriga Franca) grown in five locations across the Côa Region were considered. Sugar accumulation in grapes, with concentrations between 170 and 230 g l-1, was used from 2014 to 2020 as an indicator of technological maturity conditioned by meteorological factors. The climatic time series were retrieved from the EU Copernicus Service, while sugar data were collected by a non-profit organization, ADVID, and by Sogrape, a leading wine company. The software for calibrating and validating this model framework was the Phenology Modeling Platform (PMP), version 5.5, using Sigmoid and growing degree-day (GDD) models for predictions. The performance was assessed through two metrics: Roots Mean Square Error (RMSE) and efficiency coefficient (EFF), while validation was undertaken using leave-one-out cross-validation. Our findings demonstrate that sugar content is mainly dependent on temperature and air humidity. The models achieved a performance of 0.65