Terroir 2010 banner
IVES 9 IVES Conference Series 9 International Terroir Conferences 9 Terroir 2010 9 Geology and Soil: effects on wine quality (T2010) 9 Rapporti tra diverse tipologie di terreno e risposte produttive e qualitative delle uve Merlot e Carmenère nell’area DOC Piave

Rapporti tra diverse tipologie di terreno e risposte produttive e qualitative delle uve Merlot e Carmenère nell’area DOC Piave

Abstract

[English version below]

Da anni la ricerca viticola sta orientando le sue attenzioni verso lo studio della vocazionalità degli ecosistemi viticoli, perché fulcro della produttività della vite e qualità dei suoi frutti. Dal 2007 anche l’area a DOC del Piave, situata nella parte orientale della regione Veneto, è oggetto di uno specifico studio.
Il lavoro ha messo a confronto due diverse tipologie di suolo, uno a tessitura fine (limoso –argilloso) più a sud dell’area DOC Piave e l’altro a tessitura più grossolana (ghiaioso –ciottoloso) nella zona più a nord. Entrambe le varietà coltivate erano allevate a Sylvoz, innestate su Kober 5BB. Lo studio ha verificato nella bacca il contenuto di sostanze coloranti, il contenuto in solidi solubili, dell’acidità totale, del pH oltre ai parametri produttivi e vegetativi quali: n° grappoli/vite, produzione uva/vite, peso medio del grappolo e il legno di potatura.
I risultati ottenuti nel triennio, hanno permesso di evidenziare come le caratteristiche del terreno abbiano influenzato nettamente sia le rese produttive sia la qualità delle uve. Qualità che per la varietà Merlot è stata superiore nei suoli limoso – argillosi, al contrario il Carmenère ha trovato il miglior adattamento nei suoli ghiaioso – ciottolosi. L’analisi sensoriale ha confermato i dati analitici del Merlot ma non pienamente quelli del Carmenère.

Giving the important effects of the environmental factors on the vine productivity and grape quality, a branch of viticulture research has been focusing on the relation between vines and their ecosystems for years.
The DOC Piave area, located in the eastern part of the Veneto region, was the object of a specific zoning study from 2007 to 2009.
The study compared two different types of soils, one located in the Southern part of the DOC Area has clay-loam texture, the other located further Nord has a gravelly texture. For both varieties the trellising system was Sylvoz and the vines were grafted on Kober 5bb. Sugar accumulation, pigments amount, total acidity and pH were determined along with vegetative and productive parameters.
The results confirmed that there exist a close relationship between soil and grape quality, but each variety responds in a different way: Merlot had the most interesting quality when grown clay-loam soils, while a different behaviour was found in Carmenere. The wine sensory score confirmed the grape analysis for Merlot, but only partially for Carmenere.

DOI:

Publication date: December 3, 2021

Issue: Terroir 2010

Type: Article

Authors

D. Tomasi (1), P. Marcuzzo (1), A. Garlato (2), F. Gaiotti (1), L. Lovat (1)

(1) CRA – VIT : Centro di Ricerca per la Viticoltura, Viale XXVII Aprile 26 31015 Conegliano (TV), Italy
(2) ARPAV – Agenzia Regionale per la Prevenzione e Protezione Ambientale del Veneto, Servizio Osservatorio Suolo, Via Baciocchi 9, 31033 Castelfranco Veneto (TV), Italy

Tags

IVES Conference Series | Terroir 2010

Citation

Related articles…

austrianvineyards.com: online viewer of all designations of Austrian wine

To digitally record and present all the origins of Austrian wines in the same perfect and clear way was the motivation for the Austrian Wine Marketing Board (Austrian Wine) to start with the project in 2018. In June 2021 the results were presented to the public in an online viewer showing all the designations of Austrian wine, available at https://austrianvineyards.com in a largely barrier-free manner. The online viewer provides tailored individual maps fitted to the respective zoom level. The smallest unit of wine-origins in Austria is called Ried and is displayed in a plot-specific manner highlighting areas under vine. Information on the Ried include administrative district, winegrowing municipality, cadastral municipality, large collective vineyard site, specific winegrowing region, generic winegrowing region, winegrowing area and, in many cases, an illustrative picture. Complementary data on the size, elevation (minimum-maximum), orientation (in 8 sectors plus flat) and gradient (minimum, maximum, average) are based on the area under vine according to the EU’s Integrated Administration and Control System. Additional information covers climate data. The diagrams are taken from the monthly breakdown of data in the annals of the Central Institute for Meteorology and Geodynamics, Austria provide a display of values for air temperature, precipitation, and sunshine hours for the reference year and the long-term average. Seasonal aggregated data on temperature, precipitation, and sunshine hours complete the display. Short descriptions with emphasis on geology and soil, field name in historical maps, etymology of the denomination, and main planted variety complements the available information for the main designations in the online viewer. These descriptions are compiled by winegrowers, geologists, historians, and journalists. All the information and data can be extracted to a pdf-file. Printed vineyard maps are also available. Missing content regarding wine origins in Styria will be completed in winter 2021/22.

VineyardFACE: Investigation of a moderate (+20%) increase of ambient CO2 level on berry ripening dynamics and fruit composition

Climate change and rising atmospheric carbon dioxide concentration is a concern for agriculture, including viticulture. Studies on elevated carbon dioxide have already been on grapevines, mainly taking place in greenhouses using potted plants or using field grown vines under higher CO2 enrichment, i.e. >650 ppm. The VineyardFACE, located at Hochschule Geisenheim University, is an open field Free Air CO2 Enrichment (FACE) experimental set-up designed to study the effects of elevated carbon dioxide using field grown vines (Vitis vinifera L. cvs. Riesling and Cabernet Sauvignon). As the carbon dioxide fumigation started in 2014, the long term effects of elevated carbon dioxide treatment can be investigated on berry ripening parameters and fruit metabolic composition.
The present study aims to investigate the effect on fruit composition under a moderate increase (+20%; eCO2) of carbon dioxide concentration, as predicted for 2050 on both Riesling and Cabernet Sauvignon. Berry composition was determined for primary (sugars, organic acids, amino acids) and secondary metabolites (anthocyanins). Special focus was given on monitoring of berry diameter and ripening rates throughout three growing seasons. Compared to previous results of the early adaptative phase of the vines [1], our results show little effect of eCO2 treatment on primary metabolites composition in berries. However, total anthocyanins concentration in berry skin was lower for eCO2 treatment in 2020, although the ratio between anthocyanins derivatives did not differ.
[1] Wohlfahrt Y., Tittmann S., Schmidt D., Rauhut D., Honermeier B., Stoll M. (2020) The effect of elevated CO2 on berry development and bunch structure of Vitis vinifera L. cvs. Riesling and Cabernet Sauvignon. Applied Science Basel 10: 2486

The interplay between grape ripening and weather anomalies – A modeling exercise

Current climate change is increasing inter- and intra-annual variability in atmospheric conditions leading to grapevine phenological shifts as well altered grape ripening and composition at ripeness. This study aims to (i) detect weather anomalies within a long-term time series, (ii) model grape ripening revealing altered traits in time to target specific ripeness thresholds for four Vitis vinifera cultivars, and (iii) establish empirical relationships between ripening and weather anomalies with forecasting purposes. The Day of the Year (DOY) to reach specific grape ripeness targets was determined from time series of sugar concentrations, total acidity and pH collected from a private company in the period 2009-2021 in North-Eastern Italy. Non-linear models for the DOY to reach the specified ripeness thresholds were assessed for model efficiency (EF) and error of prediction (RMSE) in four grapevine cultivars (Merlot, Cabernet Sauvignon, Glera and Garganega). For each vintage and cultivar, advances or delays in DOY to target specified ripeness thresholds were assessed with respect to the average ripening dynamics. Long-term meteorological series monitored at ground weather station by means of hourly air temperature and rainfall data were analyzed. Climate statistics were obtained and for each time period (month, bimester, quarter and year) weather anomalies were identified. A linear regression analysis was performed to assess a possible correlation that may exist between ripening and weather anomalies. For each cultivar, ripeness advances or delays expressed in number of days to target the specific ripening threshold were assessed in relation to registered weather anomalies and the specific reference time period in the vintage. Precipitation of the warmest month and spring quarter are key to understanding the effect of climate change on sugar ripeness. Minimum temperatures of May-June bimester and maximum temperatures of spring quarter best correlate with altered total acidity evolution and pH increment during the ripening process, respectively.

Frost risk projections in a changing climate are highly sensitive in time and space to frost modelling approaches

Late spring frost is a major challenge for various winegrowing regions across the world, its occurrence often leading to important yield losses and/or plant failure. Despite a significant increase in minimum temperatures worldwide, the spatial and temporal evolution of spring frost risk under a warmer climate remains largely uncertain. Recent projections of spring frost risk for viticulture in Europe throughout the 21st century show that its evolution strongly depends on the model approach used to simulate budburst. Furthermore, the frost damage modelling methods used in these projections are usually not assessed through comparison to field observations and/or frost damage reports.
The present study aims at comparing frost risk projections simulated using six spring frost models based on two approaches: a) models considering a fixed damage threshold after the predicted budburst date (e.g BRIN, Smoothed-Utah, Growing Degree Days, Fenovitis) and b) models considering a dynamic frost sensitivity threshold based on the predicted grapevine winter/spring dehardening process (e.g. Ferguson model). The capability of each model to simulate an actual frost event for the Vitis vinifera cv. Chadonnay B was previously assessed by comparing simulated cold thermal stress to reports of events with frost damage in Chablis, the northernmost winegrowing region of Burgundy. Models exhibited scores of κ > 0.65 when reproducing the frost/non-frost damage years and an accuracy ranging from 0.82 to 0.90.
Spring frost risk projections throughout the 21st century were performed for all winegrowing subregions of Bourgogne-Franche-Comté under two CMIP5 concentration pathways (4.5 and 8.5) using statistically downscaled 8×8 km daily air temperature and humidity of 13 climate models. Contrasting results with region-specific spring frost risk trends were observed. Three out of five models show a decrease in the frequency of frost years across the whole study area while the other two show an increase that is more or less pronounced depending on winegrowing subregion. Our findings indicate that the lack of accuracy in grapevine budburst and dehardening models makes climate projections of spring frost risk highly uncertain for grapevine cultivation regions.

Effects of graft quality on growth and grapevine-water relations

Climate change is challenging viticulture worldwide compromising its sustainability due to warmer temperatures and the increased frequency of extreme events. Grafting Vitis vinifera L.