GiESCO 2019 banner
IVES 9 IVES Conference Series 9 GiESCO 9 GiESCO 2019 9 How much does the soil, climate and viticultural practices contribute to the variability of the terroir expression?

How much does the soil, climate and viticultural practices contribute to the variability of the terroir expression?

Abstract

Context and purpose of the study ‐ When considering the application of a systemic approach to assess the intrinsic complexity of agricultural production, the following question immediately arises: how is this synthesis made? In this sense, characterizing the joint effects of environmental factors and viticultural practices on vine functioning represents a key challenge for the correct management of Terroir. In order to provide a response to this challenge, this work assesses the relative importance of the main factors comprised into the Terroir concept: climate (or “Year” effect), “Soil” and the “Source‐sink” relation, on the vegetative development, yield, berry composition and plant sanitary status.

Material and methods ‐ The study was carried out between 2011 and 2014 on six viticultural regions in the south of Uruguay, involving nine vineyards. The cultivar studied was Tannat, which was vertically trellised and north‐south oriented in all vineyards. The year effect refers to climate, which was characterized using solar irradiation and three bioclimatic indices calculated according to the Multicriteria Climatic Classification System. The soil was characterized by digging pits and determining physicochemical properties, in order to determine three textural categories and to define soil depth and water availability. The source‐sink relationship factor referred to the ratio between leaf surface and yield, and included four categories that simulated different vine balances. This factor has been assimilated to a management that winegrowers may potentially achieve through a set of technical operations, such as pruning, shoot thinning, leaf and lateral removal and cluster thinning.
Statistical analyses included a Mixed Model with random effects to determine the relative importance of each factor on the total variability within the dataset.

Results ‐ Our results showed that vegetative growth depends mainly on the “soil” factor followed by the “Year”. Total yield per vine was explained by the “Source‐sink” relationship and the “Year*Source‐sink” interaction, both linked to the rainfall amount occurred during the maturation period. Berry weight was explained by “Year”. Rot incidence was more dependent on the “Year*Source‐sink” interaction, and then on the “Year*Soil” interaction, and on the “Soil” factor.
The synthesis of primary compounds in the berries depended mainly on the “Year” factor and the interaction of “Year*Source‐Sink”. The pH value was explained by the “Year*Soil” interaction. Secondary metabolite concentrations in the berry depended mainly on the “Source‐sink” relationship and the “Year” factor.
This investigation enables the adjustment of technical itineraries for managing this given terroir according to the characteristics of its physical environment and the production target to be achieved.

DOI:

Publication date: June 19, 2020

Issue: GiESCO 2019

Type: Article

Authors

Gerardo ECHEVERRÍA (1), José M. MIRÁS‐AVALOS (2)

(1) Facultad de Agronomía, UDELAR, Garzón 780, 12900 Montevideo, Uruguay
(2) Escola Politécnica Superior de Enxeñaría, USC, Benigno Ledo s/n, 27002 Lugo, España

Contact the author

Keywords

 vineyard soils, viticultural zoning, source‐sink relationships, vine balance, berry composition, mixed model

Tags

GiESCO 2019 | IVES Conference Series

Citation

Related articles…

Characterization of variety-specific changes in bulk stomatal conductance in response to changes in atmospheric demand and drought stress

In wine growing regions around the world, climate change has the potential to affect vine transpiration and overall vineyard water use due to related changes in atmospheric demand and soil water deficits. Grapevines control their transpiration in response to a changing environment by regulating conductance of water through the soil-plant-atmosphere continuum. Most vineyard water use models currently estimate vine transpiration by applying generic crop coefficients to estimates of reference evapotranspiration, but this does not account for changes in vine conductance associated with water stress, nor differences thought to exist between varieties. The response of bulk stomatal conductance to daily weather variability and seasonal drought stress was studied on Cabernet-Sauvignon, Merlot, Tempranillo, Ugni blanc, and Semillon vines in a non-irrigated vineyard in Bordeaux France. Whole vine sap flow, temperature and humidity in the vine canopy, and net radiation absorbed by the vine canopy were measured on 15-minute intervals from early July through mid-September 2020, together with periodic measurement of leaf area, canopy porosity, and predawn leaf water potential. From this data, bulk stomatal conductance was calculated on 15-minute intervals, and multiple regression analysis was performed to identify key variables and their relative effect on conductance. Attention was focused on addressing multicollinearity and time-dependency in the explanatory variables and developing regression models that were readily interpretable. Variability of vapor pressure deficit over the day, and predawn water potential over the season explained much of the variability in conductance, with relative differences in response coefficients observed across the five varieties. By characterizing this conductance response, the dynamics of vine transpiration can be better parameterized in vineyard water use modeling of current and future climate scenarios.

The plantation frame as a measure of adaptation to climate change

The mechanization of vineyard work originally led to a reduction in planting densities due to the lack of machinery adapted to the vineyard. The current availability of specific machinery makes it possible to establish higher planting densities. In this work, three planting densities (1.40×0.80 m, 1.80×1 m and 2.20×1.20 m, corresponding to 8928, 5555 and 3787 plants/ha respectively) were studied with four varieties autochthonous of Galicia (northwestern Spain): Albariño and Treixadura (white), Sousón and Mencía (red). The vines were trained in a vertical shoot positioning system using a single Royat cordon, and pruned to spurs with two buds each. Agronomic data (yield, pruning wood weight, Ravaz index) and oenological data in must were collected. The higher planting density (1.40×0.80 m) had no significant effect on grape yield per vine in white varieties, although production per hectare was much higher due to the greater number of plants. In red varieties, this planting density resulted in a significantly lower production per vine, compensated by the greater number of plants. In addition, it significantly reduced the Brix degree in the must of the Albariño, Treixadura and Sousón varieties, and increased the total acidity in the latter two and Mencía. It also caused an increase in extractable and total anthocyanins and IPT in red grapes. The effects of high planting density on grapes are of great interest for the adaptation of varieties in the context of climate change. In the future, it could be advisable to modify the limits imposed by the appellations of origin on the planting density of these varieties in order to obtain more balanced wines.

Assessing the climate change vulnerability of European winegrowing regions by combining exposure, sensitivity and adaptive capacity indicators

Winegrowing regions recognized as protected designations of origin (PDOs) are closely tied to well defined geographic locations with a specific set of pedoclimatic attributes and strictly regulated by legal specifications. However, climate change is increasingly threatening these regions by changing local conditions and altering winegrowing processes. The vulnerability to these changes is largely heterogenous across different winegrowing regions because it is determined by individual characteristics of each region, including the capacity to adapt to new climatic conditions and the sensitivity to climate change, which depend not only on natural, but also socioeconomic and legal factors. Accurate vulnerability assessments therefore need to combine information about adaptive capacity and climate change sensitivity with projected exposure to new climatic conditions. However, most existing studies focus on specific impacts neglecting important interactions between the different factors that determine climate change vulnerability. Here, we present the first comprehensive vulnerability assessment of European wine PDOs that spatially combines multiple indicators of adaptive capacity and climate change sensitivity with high-resolution climate projections. We found that the climate change vulnerability of PDO areas largely depends on the complex interactions between physical and socioeconomic factors. Homogenous topographic conditions and a narrow varietal spectrum increase climate change vulnerability, while the skills and education of farmers, together with a good economic situation, decrease their vulnerability. Assessments of climate change consequences therefore need to consider multiple variables as well as their interrelations to provide a comprehensive understanding of the expected impacts of climate change on European PDOs. Our results provide the first vulnerability assessment for European winegrowing regions at high spatiotemporal resolution that includes multiple factors related to climate exposure, sensitivity, and adaptive capacity on the level of single winegrowing regions. They will therefore help to identify hot spots of climate change vulnerability among European PDOs and efficiently direct adaptation strategies.

Climate change projections to support the transition to climate-smart viticulture

The Earth’s system is undergoing major changes through a wide range of spatial and temporal scales as a response to growing anthropogenic radiative forcing, which is pushing the whole system far beyond its natural variability. Sources of greenhouse gases largely exceed their sinks, thus leading to a strengthened greenhouse effect. More energy is thereby being supplied to the system, with inevitable shifts in climatic patterns and weather regimes. Over the last decades, these modifications have been manifested in the full statistical distributions of the atmospheric variables, with dramatic changes in the frequency and intensity of extremes. Natural hazards, such as severe droughts, floods, forest fires, or heatwaves, are being triggered by extreme atmospheric events worldwide, thus threatening human activities. Viticultculture is not only exposed to changing climates but is also highly vulnerable, as grapevine phenology and physiological development are strongly controlled by atmospheric conditions. Therefore, the assessment of climate change projections for a given region is critical for climate change adaptation and risk reduction in viticulture. By adopting timely and suitable measures, the future sustainability and resiliency of the sector can be fostered. Climate-grapevine chain modelling is an essential tool for better planning and management. However, the accuracy of the resulting projections is limited by many uncertainties that must be duly taken into account when transferring knowledge to stakeholders and decision-makers. Climate-smart viticulture will comprise ensembles of locally tuned strategies, envisioning both adaptation and mitigation, assisted by emerging technologies and decision-support systems.

Climate, Viticulture, and Wine … my how things have changed!

The planet is warmer than at any time in our recorded past and increasing greenhouse emissions and persistence in the climate system means that continued warming is highly likely. Climate change has already altered the basic framework of growing grapes for wine production worldwide and will likely continue to do so for years to come. The wine sector can continue to play an important role in leading the agricultural sector in addressing climate change. From developing on…