IVAS 2022 banner
IVES 9 IVES Conference Series 9 IVAS 9 IVAS 2022 9 Similarities among wine aromas and landscape scents around the vineyard in five Mediterranean sites

Similarities among wine aromas and landscape scents around the vineyard in five Mediterranean sites

Abstract

We compared 68 aroma compounds in wines from 5 vineyards in order to see similarities among the wine aroma and the scent of some of the main native plants from the respective vineyards. The work started with characterising the plant vegetation and the main plants and herbs in the boundaries and field growing in each 5 selected vineyards in Catalonia, Spain. Then 3 wines from each vineyard were analysed for aroma compounds and sensory description. In spring-early summer of 2021, 168 plants were recognised in the prospected sites. We found differences in the plant species diversity that characterised each vineyard landscape. Each vineyard had a particular set of plant species with a unique mix of aroma compounds. We compared the aromas of the wines and the aromas of the plants and found several matches among them. Further studies may offer a better understanding but it seems to be a connection or similarity among the landscape’s aroma and the wines obtained in proximity. Among the compounds with the highest odorant value found are the nosioprenoids ionone and damascenone and terpenes with floral and fruity aromas. This research allows a better understanding of the landscape and wines and to visualize the importance of preserving biodiversity as a management criteria and highlight its value in the vineyards. It can also be a tool for communication between the winemaker and the consumer.

DOI:

Publication date: June 23, 2022

Issue: IVAS 2022

Type: Article

Authors

Bartra Enric1, Chamorro Lourdes2, Gomis Anna1 and Elorduy Xoan1

1Catalan Vine and Wine Institute (INCAVI), University Rovira i Virgili Tarragona, Pl. Agora 2, 08720 Vilafranca del Penedes, Barcelona, Spain
2University of Barcelona IrBio

Contact the author

Keywords

wine aroma, regional typicity, biodiversity

Tags

IVAS 2022 | IVES Conference Series

Citation

Related articles…

Use of a new, miniaturized, low-cost spectral sensor to estimate and map the vineyard water status from a mobile 

Optimizing the use of water and improving irrigation strategies has become increasingly important in most winegrowing countries due to the consequences of climate change, which are leading to more frequent droughts, heat waves, or alteration of precipitation patterns. Optimized irrigation scheduling can only be based on a reliable knowledge of the vineyard water status.

In this context, this work aims at the development of a novel methodology, using a contactless, miniaturized, low-cost NIR spectral tool to monitor (on-the-go) the vineyard water status variability. On-the-go spectral measurements were acquired in the vineyard using a NIR micro spectrometer, operating in the 900–1900 nm spectral range, from a ground vehicle moving at 3 km/h. Spectral measurements were collected on the northeast side of the canopy across four different dates (July 8th, 14th, 21st and August 12th) during 2021 season in a commercial vineyard (3 ha). Grapevines of Vitis vinifera L. Graciano planted on a VSP trellis were monitored at solar noon using stem water potential (Ψs) as reference indicators of plant water status. In total, 108 measurements of Ψs were taken (27 vines per date).

Calibration and prediction models were performed using Partial Least Squares (PLS) regression. The best prediction models for grapevine water status yielded a determination coefficient of cross-validation (r2cv) of 0.67 and a root mean square error of cross-validation (RMSEcv) of 0.131 MPa. This predictive model was employed to map the spatial variability of the vineyard water status and provided useful, practical information towards the implementation of appropriate irrigation strategies. The outcomes presented in this work show the great potential of this low-cost methodology to assess the vineyard stem water potential and its spatial variability in a commercial vineyard.

Wine tannins: What place for grape seed?

Phenolic compounds are among the most important quality factors of wines. They contribute to the organoleptic characteristics of wine such as colour, astringency, and bitterness. Although tannins found in wine can come from microbial and oak sources, the main sources of polyphenols are skin and seed from grapes. Yet, the link between grape seed phenolic content and wine composition, or even the link between seed maturity stage and wine composition are poorly studied. This work describes and explains the seed tannins kinetics release in wine, but also the impact of seed maturity stage on seed tannins extractability.

The impact of selected odorant combinations in wine oxidative aroma and their interactive role on the olfactory perception

It is widely known the impact that oxidation has on wine sensory degradation and eventually, in the shortening of its longevity.

Development of a standardized method for metabolite analysis by NMR to assess wine authenticity

The wine sector generates a considerable amount of wealth but is facing a growing problem of fraud. Wine counterfeiting is one of the oldest and most common cases of food fraud worldwide. Therefore, the authenticity and traceability of wine are major concerns for both the industry and consumers. To address these issues, robust and reliable analysis and control methods are necessary. Several methods have been developed, ranging from simple organoleptic tests to more advanced methodologies such as isotopic techniques or residual radioactivity measurements.

Mgaloblishvili Rpv29 and Rpv31 loci reveal new insights on downy mildew resistance sources in Vitis vinifera

Downy mildew, a disease caused by Plasmopara viticola (Berk. et Curt.) Berl. and De Toni, is one of the strongest threats to grapevine (Vitis vinifera L.) production. Recently, sources of resistance to downy mildew were identified among Caucasian germplasm. Among them, the Georgian variety Mgaloblishvili revealed a unique resistance mechanism. A genome wide association study (GWAS) allowed the identification of the genetic bases of Mgaloblishvili resistance, the loci Rpv29, Rpv30 and Rpv31. To dissect the three resistance loci, Mgaloblishvili genome was sequenced using PacBio HiFi reads and assembled.