IVAS 2022 banner
IVES 9 IVES Conference Series 9 IVAS 9 IVAS 2022 9 Monferace a new “old style” for Grignolino wine, an autochthonous Italian variety: unity in diversity

Monferace a new “old style” for Grignolino wine, an autochthonous Italian variety: unity in diversity

Abstract

Monferace project is born from an idea of 12 winegrowers willing to create a new “old style” Grignolino wine and inspired byancient winemaking techniques of this variety (1). Monferace wine is produced with 100% Grignolino grapes after 40 months of ageing, of which 24 in wooden barrels of different volumes. Grignolino is an autochthonous Italian variety cultivated in Piedmont (north-west Italy), recently indicated as a “nephew” of the famous Nebbiolo (2) and is used to produce three different DOC wines. The Monferace Grignolino is cultivated in the geographical area identified in the Aleramic Monferrato, defined by the Po and Tanaro rivers, in the heart of Piedmont and the produced wine is characterized by a high content of tannins, marked when young, that evolve over the years. Its color is generally slight ruby red and garnet red with orange highlights with ageing. Sensory analysis on 10 Monferace wines (2019 vintage) was assessed after about 11 months of ageing in wood. A trained panel carried out the wine sensory descriptive analysis (sensory profile) as previously described (3, 4), derived from the ISO norms. The wines were evaluated using ISO (3591-1977) approved glasses in an ISO (8589-2007) tasting room, served in a randomized order and identified with a three-digit code. The descriptors of the wines were defined during a preliminary tasting session. The quantitative measures of the chosen attributes were acquired using FIZZ (Biosystems, Couternon, France). The data were subjected to statistical analysis (5). 
All the wines were characterized by 16 attributes: color (garnet red, orange highlights), odor (rose, violet, nutmeg, pepper, blackberries, cherries, jam/marmalade, dry herbaceous, oak) and taste (acidity, bitterness, astringency, structure (body) and taste-olfactory persistence). Some attributes were not quantitative statistically different (ANOVA and Tukey test, p=95%): acidity, bitterness, astringency. 
All the other attributes discriminated the wines with different intensities, from 2 groups in the case of rose, nutmeg and dry herbaceous to 6 groups for oak. The panel identified one more specific odor attribute in wine 2 (vanilla) and wine 7 (smoked-roasting). 
Each wine had a specificity: wine 5 had the highest intensity for rose, wine 10 for fruity attributes (blackberries, cherries), wine 2 for oak together with vanilla, wine 6 for dry herbaceous, wine 7 for smoked-roasting, wine 3 for pepper. Wines 8 and 9 had the lower intensities for many attributes and the profile of wine 1 was very similar to the average profile of all the 10 wines. 
These preliminary results showed the unity of sensory attributes among wines with a specificity for each product and remarked that Monferace is a very interesting wine style for Grignolino variety. 

References

1-https://monferace.it/en/ (Accessed on 28th January 2022)
2-Raimondi, S., Tumino, G., Ruffa, P., Boccacci P., Gambino G. & Schneider A., 2020, DNA-based genealogy reconstruction of Nebbiolo, Barbera and other ancient grapevine cultivars from northwestern Italy. Sci Rep 10, 15782. https://doi.org/10.1038/s41598-020-72799-6 
3-Cravero MC, Bonello F Tsolakis C., Piano F., Borsa D., 2012, Comparison between Nero d’Avola wines produced with grapes grown in Sicily and Tuscany. Italian Journal of Food Science, XXIV, (4): 384-387. 
4-Bonello, F., Cravero, M.C., Asproudi, A. et al., 2021, Exploring the aromatic complexity of Sardinian red wines obtained from minor and rare varieties. Eur. Food Res. Technol., 247, 133–156. https://doi.org/10.1007/s00217-020-03613-w
5-XLSTAT® software, version Sensory, 2020, 2.2, Addinsoft, New York.

DOI:

Publication date: June 27, 2022

Issue: IVAS 2022

Type: Poster

Authors

Cravero Maria Carla1, Bonello Frederica1, Asproudi Andriani1, Lottero Maria Rosa1, Gianotti Silvia2, Ronco Mario2 and Petrozziello Maurizio1 

1CREA, Research Centre for Viticulture and Enology
2Associazione Monferace 

Contact the author

Keywords

sensory analysis, Grignolino, wood ageing, Monferace

Tags

IVAS 2022 | IVES Conference Series

Citation

Related articles…

Long-term drought resilience of traditional red grapevine varieties from a semi-arid region

In recent decades, the scarcity of water resources in agriculture in certain areas has been aggravated by climate change, which has caused an increase in temperatures, changes in rainfall patterns, as well as an increase in the frequency of extreme phenomena such as droughts and heat waves. Although the vine is considered a drought-tolerant specie, it has to satisfy important water requirements to complete its cycle, which coincides with the hottest and driest months. Achieving sustainable viticulture in this scenario requires high levels of efficiency in the use of water, a scarce resource whose use is expected to be severely restricted in the near future. In this regard, the use of drought-tolerant varieties that are able to maintain grape yield and quality could be an effective strategy to face this change. During three consecutive seasons (2018-2020) the behavior in rainfed regime of 13 traditional red grapevine varieties of the Spain central region was studied. These varieties were cultivated in a collection at Centro de Investigación de la Vid y el Vino de Castilla-La Mancha (IVICAM-IRIAF) located in Tomelloso (Castilla-La Mancha, Spain). Yield components (yield, mean bunch and berry weight, pruning weight), physicochemical parameters of the musts (brix degree, total acidity, pH) and some physiological parameters related with water stress during ripening period (δ13C, δ18O) were analysed. The application of different statistical techniques to the results showed the existence of significant differences between varieties in their response to stressful conditions. A few varieties highlighted for their high ability to adapt to drought, being able to maintain high yields due to their efficiency in the use of water. In addition, it was possible quantify to what extent climate can be a determinant in the δ18O of musts under severe water stress conditions.

Analysis of Cabernet Sauvignon and Aglianico winegrape (V. vinifera L.) responses to different pedo-climatic environments in southern Italy

Water deficit is one of the most important effects of climate change able to affect agricultural sectors. In general, it determines a reduction in biomass production, and for some plants, as in the case of grapevine, it can endorse fruit quality. The monitoring and management of plant water stress in the vineyard

Terroir traceability in grapes, musts and wine: results of research on Gewürztraminer and Sauvignon Blanc grape varieties in northern Italy

In the study of terroir, a separate analysis of its many component factors can be of great help in accurately identifying a vineyard’s natural elements that impact wine quality and typicity. This research used a dedicated pluri-disciplinary approach to investigate the ecological characteristics, including geology and geographical features, of 14 vineyards that produce Gewürztraminer and Sauvignon Blanc cultivars in the alpine Alto Adige DOC wine region. Both the geopedological method using Vineyards Geological Identity (VGI) and the new Solar Radiaton Identity (SRI) topoclimatic classification method were used to provide analytical measurements and qualitative/quantitative characterisations. In addition, wide-ranging targeted and untargeted oenological and chemical analyses were carried out on grapes, musts and wines to correlate the soils’ geomineral and physical conditions with the biochemical properties of their fruits and wines. The research identified strong correlations between vineyard geo-identity and wine biofingerprint, confirming a mineral traceability of strontium rubidium ratio and some minerals distinctive to the local geology, such as K, Ca, Ag, Ba and Mn.  The study also discovered that particular geomineral and physical soil conditions of the studied vineyards are related to the different amount of amino acids, primary varietal aromas and polyphenols found in grapes, musts and wines. The research confirmed that winemaking technologies support oenological quality, although in some cases, human practices can overpower certain characteristic elements in wine, erasing the typical imprint left by the vineyards’ natural terroir, which becomes less traceable. Terroir abiotic ecological factors and vineyard identity can be classified in detail using the new VGI and SRI analysis methods to discover interrelationships between geo-pedological and topoclimatic conditions that impact wine quality. These methods are also helpful in identifying which ecological elements are exclusive to a particular vineyard or wine sub-region.

Teasing apart terroir: the influence of management style on native yeast communities within Oregon wineries and vineyards

Newer sequencing technologies have allowed for the addition of microbes to the story of terroir. The same environmental factors that influence the phenotypic expression of a crop also shape the composition of the microbial communities found on that crop. For fermented goods, such as wine, that microbial community ultimately influences the organoleptic properties of the final product that is delivered to customers. Recent studies have begun to study the biogeography of wine-associated microbes within different growing regions, finding that communities are distinct across landscapes. Despite this new knowledge, there are still many questions about what factors drive these differences. Our goal was to quantify differences in yeast communities due to management style between seven pairs of conventional and biodynamic vineyards (14 in total) throughout Oregon, USA. We wanted to answer the following questions: 1) are yeast communities distinct between biodynamic vineyards and conventional vineyards? 2) are these differences consistent across a large geographic region? 3) can differences in yeast communities be tied to differences in metabolite profiles of the bottled wine? To collect our data we took soil, bark, leaf, and grape samples from within each vineyard from five different vines of pinot noir. We also collected must and a 10º brix sample from each winery. Using these samples, we performed 18S amplicon sequencing to identify the yeast present. We then used metabolomics to characterize the organoleptic compounds present in the bottled wine from the blocks the year that we sampled. We are actively in the process of analysing our data from this study.

Downscaling of remote sensing time series: thermal zone classification approach in Gironde region

In viticulture, the challenges of local climate modelling are multiple: taking into account the local environment, fine temporal and spatial scales, reliable time series of climate data, ease of implementation and reproducibility of the method. At the local scale, recent studies have demonstrated the contribution of spatialization methods for ground-based climate observation data considering topographic factors such as altitude, slope, aspect, and geographic coordinates (Le Roux et al, 2017; De Rességuier et al, 2020). However, these studies have shown questions in terms of the reproducibility and sustainability of this type of climate study. In this context, we evaluated the potential of MODIS thermal satellite images validated with ground-based climate data (Morin et al, 2020). Previous studies have been encouraging, but questions remain to be explored at the regional scale, particularly in the dynamics of the massive use of bioclimatic indices to classify the climate of wine regions. The results at the local scale were encouraging, but this approach was tested in the current study at the regional scale. Several objectives were set: 1) to evaluate the downscaling method for land surface temperature time series, 2) to identify regional thermal structure variations. We used weekly minimum and maximum surface temperature time series acquired by MODIS satellites at a spatial resolution of 1000 m and downscaled at 500 m using topographical variables. Two types of analyses were performed: