terclim by ICS banner
IVES 9 IVES Conference Series 9 International Congress on Grapevine and Wine Sciences 9 2ICGWS-2023 9 Atypical aging and hydric stress: insights on an exceptionally dry year

Atypical aging and hydric stress: insights on an exceptionally dry year

Abstract

Atypical aging (ATA) is a white wine fault characterized by the appearance of notes of wet rag, acacia blossoms and naphthalene, along with the vanishing of varietal aromas. 2-aminoacetophenone (AAP) – a degradation compound of indole-3-acetic acid (IAA) – is regarded as the main sensorial and chemical marker responsible for this defect. About the origin of ATA, a stress reaction occurring in the vineyard has been looked as the leading cause of this defect. Agronomic, climatic and pedological factors are the main triggers and among them, drought stress seems to play a crucial role.[1] Available water capacity (AWC) is defined as the amount of water a soil can store that is available for use by plants. AWC might be employed to gauge a predisposition to hydric stress which could ultimately lead to the onset of ATA. Considering previous research which has demonstrated that ATA development is likely to occur in fields having 30-40 mm AWC[2], this relationship was further investigated in the present study in an exceptionally dry growing season such as 2022.

11 vineyards located in Trento (Italy) were grouped according to their AWC (low, medium, high) and closely monitored over the course of the harvest season.  Given the climate conditions of the year, all of the fields under examination were subjected to drought conditions. While grapevines belonging to the ‘low’ class experienced severe stress conditions (midday leaf water potential, Ψleaf>15 bar), the ‘medium’ and ‘high’ classes were only moderately stressed (15>Ψleaf>12). Accordingly, all wines obtained were affected by ATA, displaying concentrations of AAP above the odor threshold (0.5 μg/L). Nonetheless, the AAP content of the ‘low’ class was significantly higher than the other classes. It was concluded that in exceptionally dry seasons, grapevines planted on fields characterized by a low AWC are more subjected to produce faulty wines characterized by ATA.

Acknowledgements: The authors would like to thank Cavit sc. for the technical and financial support.

References:
1)  Schneider V. (2014) Atypical aging defect: Sensory discrimination, viticultural causes, and enological consequences. Rev. Am. J. Enol. Vitic., 65:277–284, DOI 10.5344/ajev.2014.14014
2) Rauhut D. et al. (2003) Effect on diverse oenological methods to avoid occurrence of atypical aging and related off-flavours in wine. InŒnologie 2003. 7e Symposium International d’Œnology. A. Lonvaud-Funel et al., 376-379

DOI:

Publication date: October 11, 2023

Issue: ICGWS 2023

Type: Poster

Authors

Simone Delaiti1,2*, Stefano Pedo’2, Tomas Roman2, Tiziana Nardin2, Roberto Larcher2

1C3A, Center Agriculture Food Environment, Via Edmund Mach, 1, San Michele all’Adige, TN, 38010 Italy
2Technology Transfer Centre, Fondazione Edmund Mach, San Michele all’Adige, Italy

Contact the author*

Keywords

atypical aging, aminocetophenone, drought stress, AWC

Tags

2ICGWS | ICGWS | ICGWS 2023 | IVES Conference Series

Citation

Related articles…

Model-assisted analysis of the root traits underlying RSA genotypic diversity in Vitis: a promising approach for rootstock selection?

By dissecting the root system architecture (RSA) into its underpinning components (e.g. root emission, axial growth, radial growth, branching, root direction or tropism) and identifying the relationships between them, functional-structural 3D root models are promising tools for analyzing the diversity and complexity of root system phenotypes with Genotype × Environment interactions. The model parameters are assumed to be synthetic traits, less influenced by the environment, and consequently with less polygenic architectures than the integrative RSA traits they drive. Root models can serve as a basis for in silico development of root system ideotypes by highlighting the developmental processes and parameters that most likely influence RSA fitness.

Polyphenol content of cork granulates at different steps of the manufacturing process of microagglomerated stoppers treated with supercritical CO2 used for wine bottling

The wine closure industry is mainly divided into three categories: screw caps, synthetic closures, and cork-based closures. Among this latter, microagglomerated cork stoppers treated with supercritical CO2 are now widely used, especially to avoid cork taint contaminations[1]. They are designed with cork granules obtained from cork offcuts of the punching process during the natural cork stoppers production. A previous study[2] showed that these stoppers released fewer polyphenols in 12 % (v/v) hydroalcoholic solution than natural cork stoppers.

Effect of riboflavin on the longevity of white and rosé wines

Light is a fundamental part at sales points which influences in the conservation of wines, particularly in those that are sold in transparent glass bottles such as rosé wines and increasingly white wines. The photochemical effect known as “light-struck taste” can cause changes in the aromatic characteristics of the wine. This “light-struck taste” is due to reactions triggered by the photochemical sensitivity of riboflavin (RBF).

Indicators of Sustainable Vineyard Soil Management: Metrics for Assessing Environmental Impacts

The vital role of soils in supporting life on our planet cannot be overstated. Soils provide numerous ecosystem services and functions, including biomass production, carbon sequestration, physical support, biological habitat, and genetic reserve, among others. Understanding the characteristics and sensitivity of soils in a specific terroir, along with effective soil management practices, is crucial for the sustainable management of natural resources.

Applicability of spectrofluorometry and voltammetry in combination with machine learning approaches for authentication of DOCa Rioja Tempranillo wines

The main objective of the work was to develop a simple, robust and selective analytical tool that allows predicting the authenticity of Tempranillo wines from DOCa Rioja. The techniques of voltammetry and absorbance-transmission and fluorescence excitation emission matrix (A-TEEM) spectroscopy have been applied in combination with machine learning (ML) algorithms to classify red wines from DOCa Rioja according to region (Alavesa, Alta or Oriental) and category (young, crianza or reserva).