terclim by ICS banner
IVES 9 IVES Conference Series 9 International Congress on Grapevine and Wine Sciences 9 2ICGWS-2023 9 The use of δ13C as an indicator of water use efficiency for the selection of drought tolerant grapevine varieties

The use of δ13C as an indicator of water use efficiency for the selection of drought tolerant grapevine varieties

Abstract

In the context of climate change with increasing evaporative demand, understanding the water use behavior of different grapevine cultivars is of critical importance. Carbon isotope discrimination (δ13C) measurements in wine provide a precise and integrated assessment of the water status of the vines during the sugar accumulation period in grape berries. When collected over multiple vintages on different cultivars, δ13C measurements can also provide insights into the effects of genotype on water use efficiency. More specifically, cultivars with more negative values of δ13C (indicating later stomatal regulation) in non-limiting conditions could reveal higher vulnerability to drought [1]. Thus, selecting varieties with less negative δ13C values in non-limiting conditions could be a potential lever for adaptation to climate change.

A 2-hectare parcel was planted with 84 red and white cultivars in 2013, in the Haut Médoc wine region (Bordeaux, France) within a commercial wine-growing estate. Among those 84 cultivars, 7 were vinified over 5 vintages, 19 over 4 vintages and 24 over 3 vintages, resulting in a dataset of δ13C of 50 different cultivars over 3 to 5 vintages. The varieties included all the traditional Bordeaux varieties, some common varieties of Spain and Portugal, as well as other widely planted French varieties.

The vintage effect was clearly shown in the analyses, with the wettest vintages expressing more negative values of δ13C than drier vintages. δ13C values were also significantly different depending on the cultivar, allowing for a characterization of the 50 cultivars for their water use efficiency in limiting and non-limiting conditions. These results provide insights in the strategy of the cultivar’s water use and could help identifying potential drought tolerant varieties.

  1. Plantevin, M., Gowdy, M., Destrac-Irvine, A., Marguerit, E., Gambetta, G. A., & van Leeuwen, C. (2022). Using δ13C and hydroscapes for discriminating cultivar specific drought responses. OENO One56(2), 239–250. https://doi.org/10.20870/oeno-one.2022.56.2.5434

DOI:

Publication date: October 11, 2023

Issue: ICGWS 2023

Type: Poster

Authors

Marc Plantevin1, Yoann Merpault1, Mark Gowdy1, Gregory A. Gambetta1, Elisa Marguerit1, Julien Lecourt2, Cornelis van Leeuwen1

1EGFV, Univ. Bordeaux, Bordeaux Sciences Agro, INRAE, ISVV, F-33882 Villenave d’Ornon, France
2Pôle Scientifique, Bernard Margez Grands Vignobles, 33000 Bordeaux, France

Contact the author*

Keywords

climate change, δ13C, water use efficiency, drought tolerance, Vitis Vinifera

Tags

2ICGWS | ICGWS | ICGWS 2023 | IVES Conference Series

Citation

Related articles…

Unveiling a hidden link: does time hold the key to altered spectral signatures of grapevines under drought?

Remote sensing technology captures spectral data beyond the visible range, making it useful for monitoring plant stress. Vis-NIR (Visible-Near Infrared) spectroscopy (400-1000 nm) is commonly used to indirectly assess plant status during drought. One example is the widespread use of normalized difference vegetation index (NDVI) that is strongly linked to green biomass. However, a knowledge gap exists regarding the applicability of this method to all the drought conditions and if it is a direct correlation to the water status of the plant.

Metabolomic insights into wine’s sensory identity: unveiling climate-driven changes in aroma composition

Wine, a sensitive and intricate agricultural product, is being affected by climate change, which accelerates grapevine phenological stages and alters grape composition and ripening. This influences the synthesis of key aroma compounds, shaping wine’s sensory attributes [1]. The complex aroma profile, resulting from compound interactions, presents a metabolomics challenge to identify these indicators and their environmental change responses, which is being addressed using diverse analytical techniques.

Role of anthocyanins and copigmentation in flavonol solubility in red wines 

Over the last years, due to climate change, several red wines, such as the Sangiovese wines, have been often subjected to loss of clarity due to the formation of deposits of fine needle-shaped crystals. This phenomenon turned out to be due to an excess of quercetin (Q) and its glycosides (Q-Gs) in wines. These compounds are synthesized to a large extent when grapes are excessively exposed to UVB radiations in vineyards[1]. Unfortunately, it is not easy to predict the degree of Q precipitation because its solubility strongly depends on the wine and matrix composition[2].

New oenological criteria for selecting strains of Lachancea thermotolerans for wine technology

The study conducted various fermentations of different grape juices using various strains of Lachancea thermotolerans and one strain of Saccharomyces cerevisiae. Because of the new conditions caused by climate change, wine acidity must be influenced as well as the volatile profile. Non-Saccharomyces yeasts such as L. thermotolerans are real options to mitigate the impact of climate change in wine production.

Effect of different plant fibers on the elimination of undesirable compounds in red wine. Correlation with its polysaccharide composition

The presence of undesirable compounds in wines, such as OTA, biogenic amines and pesticides residues, affects wine quality and can cause health problems for the consumer. The main tool that a winemaker has to reduce their content in the wine is fining. However, some of the fining agents commonly used in the winery can cause allergies or even increase the protein content in the wine, increasing the turbidity. To avoid these problems, the use of plant fibers may be an alternative, such as those from grape pomace[1] or other plant origins.