Terroir 2006 banner
IVES 9 IVES Conference Series 9 The wine microbial consortium: a real terroir characteristic

The wine microbial consortium: a real terroir characteristic

Abstract

Yeast, bacteria, species and strains play a key role in the winemaking process by producing metabolites which determine the sensorial qualities of wine. Therefore microbial population numeration, species identification and strains discrimination from berry surface at harvest to storage in bottle are fundamental. The microbial diversity and significance of its variation according to vineyard and cellar have not really been thoroughly considered in literature, and is the focus of this work. That should be of great interest because the spontaneous microbial population dynamics associated with a wine producing estate provide information on what might be considered as the method to obtain specific terroir typed wine. The both use of conventional microbiological methods numbering the wine microbial populations and efficient molecular tools of species identification and strains discrimination has demonstrated the microbial differences according to the estate revealing the microbial part in specific terroir characteristic.

DOI:

Publication date: January 12, 2022

Issue: Terroir 2006

Type: Article

Authors

Vincent RENOUF, Cécile MIOT-SERTIER and Aline LONVAUD-FUNEL

Laboratoire de Biotechnologie et de Microbiologie Appliquée, Faculté d’oenologie
UMR INRA,Université Bordeaux 2 Victor Ségalen
351, cours de la Libération, 33405 Talence cedex, France

Contact the author

Keywords

microbial ecology, species, strains

Tags

IVES Conference Series | Terroir 2006

Citation

Related articles…

Market analysis of Chilean Pinot noir, Carménère, and Cabernet-Sauvignon wines: A comparative study of chemical parameters across low, medium, and high price segments

Wine quality is a complex concept determined by multiple factors, including vineyard management, winemaking operations, and the sensory perception of key attributes.

Simulating berry sunburn in virtual vineyards

Context and purpose of the study. Berry sunburn in vineyards is a recurring disorder that can cause severe yield loss. As sunburn observations are often associated with heat waves, a link to climate change is likely.

Comparison of the skin resistance of several grape varieties in relation to their physico-chemical properties

The purpose of this study is to compare the skin resistance (SR) of the grapes with physico-chemical propertiess using a stong dataset and multidimentional statistical analysis .
A recent study has shown the role skin resistance plays against pest invasion but skin resistance could be a useful agronomic parameter, for example in the choice of the type of winemaking, by influencing the quantity of juice during crushing and maceration.

New insights on thiol precursors catabolism by yeast during wine fermentation: identification of the N-Acetyl-L-Cysteine conjugate

Understanding the catabolism of thiol precursors is essential for understanding the revelation of varietal thiols in wine. For many years, knowledge of these precursors has been limited to the S-conjugates of glutathione, cysteine (Cys3SH) and the dipeptides g-GluCys and CysGly, without being able to explain the full origin of 3-sulfanylhexan-1-ol (3SH) in wines

Arinto clones tolerant to climate change: in depth transcriptomic study of tolerant and sensitive genotypes

Drought and heat waves deriving from climate change have been affecting grapevine plants and altering wine characteristics in the past years, and effects are expected to get worst. Innovative approaches to address this problem have been undertaken in several varieties, that consist in exploring intravarietal variability to identify genotypes that are tolerant to abiotic stress. Such is the case of the variety Arinto, where an experimental population of 165 clones installed according to a resolvable row-column design with 6 replicates, was scanned for several parameters, including surface leaf temperature (SLT). Linear mixed models were fitted to the data of the traits evaluated, and the empirical best linear unbiased predictors (EBLUPs) of genotypic effects for each trait were obtained as well as the coefficient of genotypic variation (CVG) and broad sense heritability.