terclim by ICS banner
IVES 9 IVES Conference Series 9 Ugni blanc berry and wine composition impacted by thirteen rootstocks

Ugni blanc berry and wine composition impacted by thirteen rootstocks

Abstract

The Cognac region is expanding, driven by the success of its renowned brandy and the demand for high grape yields to ensure a steady supply of base wine for distillation. Ugni blanc, the most widely planted grape variety, relies on rootstocks for soil and climate adaptation, providing essential nutrient supplies to the scion. Understanding the impact of rootstocks on key berry components, such as sugars and nitrogen compounds, is crucial. These compounds serve as primary precursors for the production of fermentative aroma metabolites, which, in turn, act as quality indicators for eau-de-vie.

This study was conducted in 2021 in the GreffAdapt plot (55 rootstocks x 5 scions x 3 blocks) on cv. Ugni blanc (Marguerit et al. 2019). The effects of thirteen selected rootstocks were evaluated on various viticultural parameters as well as berry composition including detailed amino acid profiles at harvest and fermentative volatile contents of the corresponding wines, fermented under standardized conditions similar to Cognac base wine elaboration.

Among all the parameters measured, rootstock effects outweighed block effects, with significant variations in vigor observed. In 2021, low to no water deficit conditions were found. Significant differences between sugar and nitrogen compound levels in the must were observed between rootstocks with low sugar levels, typical for Cognac base wine production. Differences in amino acid concentrations and proportions were substantial leading to wine with distinct aroma profiles with 333EM and Evex13-5 having the highest concentration of higher alcohol acetate (> 3 mg/L) while RSB and Gravesac had the lowest (~ 2.8 mg/L). Although the connection between vine characteristics and wine volatiles was not apparent, aroma composition appeared linked to must composition, necessitating further investigation.

Acknowledgements: The authors would like to thank the Experimental Viticultural Unit of Bordeaux 1442, INRAE, F- 33883 Villenave d’Ornon, for its contribution with the setting up of the GreffAdapt experimental vineyard.

DOI:

Publication date: June 13, 2024

Issue: Open GPB 2024

Type: Article

Authors

Julia Gouot1,2,3*, Laura Farris1,2, Marine Morel4, Nicolas Le Menn1,2, Xavier Poitou3, Mathilde Boisseau3, Elisa Marguerit4, Jean-Christophe Barbe1,2

1Univ. Bordeaux, Bordeaux INP, INRAE, OENO, UMR 1366, ISVV, F-33140 Villenave d’Ornon, France
2Bordeaux Sciences Agro, Bordeaux INP, INRAE, OENO, UMR 1366, ISVV, F-33170 Gradignan, France
3R&D Department, JAS Hennessy & Co, Cognac, France
4EGFV, Univ. Bordeaux, Bordeaux Sciences Agro, INRAE, ISVV, F-33882, Villenave d’Ornon, France

Contact the author*

Keywords

Amino acids, Aroma compounds, Ugni blanc, Rootstock, Yield

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

THE ODORIFEROUS VOLATILE CHEMICALS BEHIND THE OXIDATIVE AROMA DEGRADATION OF SPANISH RED WINES

It is a well-established fact that premature oxidation is noxious for wine aromatic quality and longevity. Although some oxidation-related aroma molecules have been previously identified, there are not works carrying out systematic research about the changes in the profiles of odour-active volatiles during wine oxidation.

From wine tourism to eco-cultural tourism – the Atlas of the Wonders of Latin America

The Atlas of Latin American Wonders—eco-cultural tourism—is examined as a new strategy for wineries in the Southern Cone of South America to address the market crisis.

ECA&D: A high-resolution dataset for monitoring climate change and effects on viticulture in Europe

Climate change will lead to persistent changes in temperature and precipitation patterns which will affect the characteristics of wine produced in each region.

Using the fraction of transpirable soil water to estimate grapevine leaf water potential: comparing the classical statistical regression approach to machine learning algorithms

Weather uncertainty is forcing Mediterranean winegrowers to adopt new irrigation strategies to cope with water scarcity while ensuring a sustainable yield and improved berry and wine quality standards. Therefore, more accurate and high-resolution monitoring of soil water content and vine water status is a major concern. Leaf water potential measured at pre-dawn (PD) is considered to be in equilibrium with soil water potential and is highly correlated with soil water content at the soil depth where roots extract water.

Three proximal sensors to estimate texture, skeleton and soil water storage in vineyards

Proximal sensors are becoming widely used in precision viticulture, due to the quick, easy and non-invasive identification of soil spatial variability. The apparent soil electrical conductivity (ECa) is the main parameter measured by sensors, which is correlated to many factors, like soil water content, salinity, clay content and mineralogy, rock fragments, bulk density, and porosity.