Terroir 2020 banner
IVES 9 IVES Conference Series 9 Wine metabolomics and sensory profile in relation to terroir: A case study focusing on different wine-growing areas of Piacenza Province (Italy)

Wine metabolomics and sensory profile in relation to terroir: A case study focusing on different wine-growing areas of Piacenza Province (Italy)

Abstract

Aim: In this work, we have optimized a robust methodology for investigating possible correlations between the phytochemical profile of wine and the terroir (including the climate), considering the specific wine-growing area. In particular, the untargeted metabolomic and sensorial profiles of Gutturnio DOC commercial wines (both still and “frizzante” types) from different production areas in the Piacenza province were determined. The geographical areas taken into consideration for this study consisted in Val Tidone, Val Nure and Val d’Arda.

Methods and Results: A metabolomic approach based on ultra-high-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry (UHPLC-ESI-QTOF) was used to investigate the untargeted phenolic profiles of “Gutturnio” DOC wines from different growing areas, namely Val Tidone, Val Nure, and Val d’Arda, located in Piacenza province (Emilia Romagna region, Italy, 45 °Lat N). In this regard, eight “Gutturnio” wines (both still and “frizzante”) from the same vintage (2016) were compared in order to highlight the impact of terroir on their chemical composition and sensory profile. Besides, correlations between wine chemical composition and climatic data of each of the three valleys have been investigated. The highest content of phenolic acids was recorded in still Gutturnio wines from Val Tidone and Val d’Arda (i.e., 389.9 and 388.2 mg/L, respectively). Both unsupervised and supervised multivariate statistical analyses (hierarchical clustering, principal component analysis, and partial least squares discriminant analysis) of metabolomics-based data allowed the different samples to be clearly discriminated according to the corresponding growing-areas. Interestingly, the most discriminant compounds allowing sample grouping belonged to phenolic acids (such as isomeric forms of diferuloylquinic acid) and alkylphenols (such as 5-heptadecylresorcinol). Besides, the Venn diagram analysis revealed seven common markers belonging to both conditions under investigation (i.e., terroir and winemaking practices). Besides, strong correlations were outlined between flavonoids, lignans, and phenolic acids with climatic data. Finally, sensory analysis allowed clear discrimination between still vs” frizzante” Gutturnio wines. 

Conclusions: 

The untargeted phenolic profiling was able to discriminate Gutturnio wine samples according to both terroir and vinification methods. Also, strong correlation coefficients were outlined when considering polyphenol profiles and climatic data, although further ad-hoc studies are needed to confirm this occurrence.

Significance and Impact of the Study: Preliminary and potential correlations have been identified between the phytochemical profile and sensorial quality of Gutturnio wines as related to both growing areas and vinification type.

DOI:

Publication date: March 17, 2021

Issue: Terroir 2020

Type: Video

Authors

Gabriele Rocchetti1, Luigi Lucini1, Emilia Calza2, Luigi Odello3, Luigi Bavaresco2

1Department for Sustainable Food Process, UCSC, Piacenza, Italy
2Department of Sustainable Crop Production, UCSC, Piacenza, Italy
3Centro Studi Assaggiatori, Brescia, Italy

Contact the author

Keywords

Wine metabolomics, foodomics, terroir, polyphenols, sensory quality

Tags

IVES Conference Series | Terroir 2020

Citation

Related articles…

A predictive model of spatial Eca variability in the vineyard to support the monitoring of plant status

[lwp_divi_breadcrumbs home_text="IVES" use_before_icon="on" before_icon="||divi||400" module_id="publication-ariane" _builder_version="4.19.4" _module_preset="default" module_text_align="center" module_font_size="16px" text_orientation="center"...

Mapping and tracking canopy size with VitiCanopy

Understanding vineyard variability to target management strategies, apply inputs efficiently and deliver consistent grape quality to the winery is essential. However, despite inherent vineyard variability, the majority are managed as if they are uniform. VitiCanopy is a simple, grower-friendly tool for precision/digital viticulture that allows users to collect and interpret objective spatial information about vineyard performance. After four years of field and market research, an upgraded VitiCanopy has been created to achieve a more streamlined, technology-assisted vine monitoring tool that provides users with a set of superior new features, which could significantly improve the way users monitor their grapevines. These new features include:
• New user interface
• User authentication
• Batch analysis of multiple images
• Ease the learning curve through enhanced help features
• Reporting via the creation of colour maps that will allow users to assess the spatial differences in canopies within a vineyard.
Use-case examples are presented to demonstrate the quantification and mapping of vineyard variability through objective canopy measurements, ground-truthing of remotely sensed measurements, monitoring of crop conditions, implementation of disease and water management decisions as well as creating a history of each site to forecast quality. This intelligent tool allows users to manage grapevines and make informed management choices to achieve the desired production targets and remain profitable.

Impact of climate variability and change on grape yield in Italy

Viticulture is entangled with weather and climate. Therefore, areas currently suitable for grape production can be challenged by climate change. Winegrowers in Italy already experiences the effect of climate change, especially in the form of warmer growing season, more frequent drought periods, and increased frequency of weather extremes.
The aim of this study is to investigate the impact of climate variability and change on grape yield in Italy to provide winegrowers the information needed to make their business more sustainable and resilient to climate change. We computed a specific range of bioclimatic indices, selected by the International Organisation of Vine and Wine (OIV), and correlated them to grape yield data. We have worked in collaboration with some wine consortiums in northern and central Italy, which provided grape yield data for our analysis.
Using climate variables from the E-OBS dataset we investigate how the bioclimatic indices changed in the past, and the impact of this change on grape productivity in the study areas. The climate impact on productivity is also investigated by using high-resolution convection-permitting models (CPMs – 2.2 horizontal resolution), with the purpose of estimating productivity in future emission scenarios. The CPMs are likely the best available option for this kind of impact studies since they allow a better representation of small-scale processes and features, explicitly resolve deep convection, and show an improved representation of extremes. In our study, we also compare CPMs with regional climate models (RCMs – 12 km horizontal resolution) to assess the added value of high-resolution models for impact studies. Further development of our study will lead to assessing the future suitability for vine cultivation and could lead to the construction of a statistical model for future projection of grape yield.

Adaptation to soil and climate through the choice of plant material

Choosing the rootstock, the scion variety and the training system best suited to the local soil and climate are the key elements for an economically sustainable production of wine. The choice of the rootstock/scion variety best adapted to the characteristics of the soil is essential but, by changing climatic conditions, ongoing climate change disrupts the fine-tuned local equilibrium. Higher temperatures induce shifts in developmental stages, with on the one hand increasing fears of spring frost damages and, on the other hand, ripening during the warmest periods in summer. Expected higher water demand and longer and more frequent drought events are also major concerns. The genetic control of the phenotypes, by genomic information but also by the epigenetic control of gene expression, offers a lot of opportunities for adapting the plant material to the future. For complex traits, genomic selection is also a promising method for predicting phenotypes. However, ecophysiological modelling is necessary to better anticipate the phenotypes in unexplored climatic conditions Genetic approaches applied on parameters of ecophysiological models rather than raw observed data are more than ever the basis for finding, or building, the ideal varieties of the future.

Effect of vigour and number of clusters on eonological parameters and metabolic profile of Cabernet Sauvignon red wines

Vegetative growth and yield are reported to affect grape and wine quality. They can be controlled through different techniques linked to vine management. The objective of this research was to determine the effect of vine vigour and number of clusters per vine on physicochemical composition and phenolic profile of red wines. The experiment was carried out during two vegetative cycles, with cv. Cabernet Sauvignon grafted onto Paulsen 1103. Three vine vigour were defined, according to shoot weight at previous harvests, being low, medium and high. Five treatments of number of clusters were used for each vigour, with 15, 22, 29, 36, and 45 clusters per vine. Grapes from all treatments were harvested in the same day from Brix and total acidity criteria. Thirty days after bottling, classical analyzes and phenolic compounds were performed. As results, different responses were obtained from each vintage. In 2020, a dry season from veraison to harvest, grapes and wines obtained from low vigour treatment and 45 clusters per vine was the highest in sugar and alcohol content respectively, while grapes and wines from high vigour and 15 clusters presented the lowest sugar and alcohol content. Total anthocyanins were higher in treatment with low vigour and 15 clusters, while the lowest amounts were found in low vigour with 45 clusters, as well as medium and high vigour with 36 clusters per vine. Total tannins were higher in high vigour with 22 clusters and medium vigour with 29 clusters, while were lower in low vigour with 36 clusters. In 2021, a wet season at harvest, responses were different, and great variations were observed between treatments. As conclusions, yield and vine vigour had strong influence on grape and wine quality, promoting different enological potentials on which can be indicated/used for aging strategies of red and even rosé wines.