Terroir 2020 banner
IVES 9 IVES Conference Series 9 Terroir in Tasting: A sensory approach for marketing fine Australian wines of provenance as memorable experiences

Terroir in Tasting: A sensory approach for marketing fine Australian wines of provenance as memorable experiences

Abstract

Aims: Establishing an image of fine wine through the Geographical Indication (GI) system is of interest to the Australian wine sector. Beyond provenance, the sensory experience of fine wine is often linked to consumption with appropriate foods. For this purpose, studies were undertaken to understand consumer perceptions of what constitutes a fine wine, which sensory and chemical factors may define fine Australian Chardonnay and Shiraz wines from various regions, the sensory attributes driving appropriate food and wine pairings, and how these relate to consumer perceptions of provenance, the overall consumer experience and memorability. 

Methods and Results: An online survey was conducted with Australian wine consumers (n = 349) to generate a consumer driven definition of fine Australian wine (FAW) based on sensory attributes, grape variety, wine region, label information, and food pairing, and to assess how that definition differs as a function of consumer wine involvement. Overall, consumers valued provenance, and highly involved wine Enthusiasts appeared to utilise more information and had broader sensory vocabularies than Aspirant and No Frills consumers. Exploring the regional typicality of commercially available FAW, Chardonnay wines (2015 vintage) from Margaret River (n = 16) and Yarra Valley (n = 16); and Shiraz wines (2014 vintage) from Barossa Valley (n = 16) and McLaren Vale (n = 15), were selected for descriptive sensory analysis and underwent profiling of volatiles by gas chromatography-mass spectrometry. For both grape varieties, there was large variability in wine styles within the same GI, meaning winemaking intervention is important for regional/sub-regional typicality, which therefore cannot be determined solely on geographic origin of the fruit. Nonetheless, a combination of sensory markers and volatile profiles allowed the building of regional typicality models, although consumers may not perceive subtle sub-regional differences in sensory attributes. The food and wine pairing-related gastronomic experiences were explored under blind and informed (wine provenance) conditions. Based on descriptive analyses, specific food and wine pairings (n = 8) were selected for consumer tastings (n = 151), which explored the pre-consumption, core-consumption, and post-consumption experiences in relation to the sensory profiles of the pairings. During core-consumption, information level significantly impacted ratings for sensory complexity and a range of emotions. Appropriate pairings corresponded with increased liking, sensory complexity, and expected prices for wine, and evoked emotions of positive valence. In the post-consumption experience, information level affected the vividness of the tasting, whereas the most appropriate pairings commanded significant vividness, remembered liking, memorability, and loyalty ratings.

Conclusion: 

Although regional typicality can be modelled using volatile composition and sensory attributes, consumers may not perceive these differences in tasting. The results from this study of sensory profiles and preferred food pairings for FAW from several regions can help the wine production, marketing and hospitality sectors tailor their services and communications to incorporate fine wines in their region-specific marketing. Consequently, appropriate food and wine pairings may be an important marketing strategy to develop and promote provenance and positive gastronomic experiences, and using a Wine:Food strategy, rather than wine alone, could provide wine businesses with higher customer satisfaction and spending

DOI:

Publication date: March 25, 2021

Issue: Terroir 2020

Type : Video

Authors

Marcell Kustos1*, David W. Jeffery1, Steven Goodman2, Hildegarde Heymann3, Susan E.P. Bastian1

1School of Agriculture, Food and Wine, The University of Adelaide (UA), Waite Research Institute, PMB 1, Glen Osmond, South Australia 5064 Australia
2Business School, The University of Adelaide, South Australia 5005 Australia
3Department of Viticulture and Enology, University of California at Davis, One Shields Avenue, Davis, CA 95616-5270, USA

Contact the author

Keywords

Wine attributes, sensory memory, food pairing, emotion measurement, wine marketing, wine business

Tags

IVES Conference Series | Terroir 2020

Citation

Related articles…

The concept of terroir: what place for microbiota?

Microbes play key roles on crop nutrient availability via biogeochemical cycles, rhizosphere interactions with roots as well as on plant growth and health. Recent advances in technologies, such as High Throughput Sequencing Techniques, allowed to gain deeper insight on the structure of bacterial and fungal communities associated with soil, rhizosphere and plant phyllosphere. Over the past 10 years, numerous scientific studies have been carried out on the microbial component of the vineyard. Whether the soil or grape compartments have been taken into account, many studies agree on the evidence of regional delineations of microbial communities, that may contribute to regional wine characteristics and typicity. Some authors proposed the term “microbial terroir” including “yeast terroir” for grapes to describe the connection between microbial biogeography and regional wine characteristics. Many factors are involved in terroir including climate, soil, cultivar and human practices as well as their interactions. Studies considering “microbial terroir” greatly contributed to improve our knowledge on factors that shape the vineyard microbial structure and diversity. However, the potential impact of “microbial terroir” on wine composition has yet not received strong scientific evidence and many questions remain to be addressed, related to the functional characterization of the microbial community and its impact on plant physiology and grape composition, the origins and interannual stability of vineyard microbiota, as well as their impact on wine sensorial attributes. The presentation will give an overview on the role of microbiota as a terroir component and will highlight future perspectives and challenges on this key subject for the wine industry.

Optimizing stomatal traits for future climates

Stomatal traits determine grapevine water use, carbon supply, and water stress, which directly impact yield and berry chemistry. Breeding for stomatal traits has the strong potential to improve grapevine performance under future, drier conditions, but the trait values that breeders should target are unknown. We used a functional-structural plant model developed for grapevine (HydroShoot) to determine how stomatal traits impact canopy gas exchange, water potential, and temperature under historical and future conditions in high-quality and hot-climate California wine regions (Napa and the Central Valley). Historical climate (1990-2010) was collected from weather stations and future climate (2079-99) was projected from 4 representative climate models for California, assuming medium- and high-emissions (RCP 4.5 and 8.5). Five trait parameterizations, representing mean and extreme values for the maximum stomatal conductance (gmax) and leaf water potential threshold for stomatal closure (Ψsc), were defined from meta-analyses. Compared to mean trait values, the water-spending extremes (highest gmax or most negative Ysc) had negligible benefits for carbon gain and canopy cooling, but exacerbated vine water use and stress, for both sites and climate scenarios. These traits increased cumulative transpiration by 8 – 17%, changed cumulative carbon gain by -4 – 3%, and reduced minimum water potentials by 10 – 18%. Conversely, the water-saving extremes (lowest gmax or least negative Ψsc) strongly reduced water use and stress, but potentially compromised the carbon supply for ripening. Under RCP 8.5 conditions, these traits reduced transpiration by 22 – 35% and carbon gain by 9 – 16% and increased minimum water potentials by 20 – 28%, compared to mean values. Overall, selecting for more water-saving stomatal traits could improve water-use efficiency and avoid the detrimental effects of highly negative canopy water potentials on yield and quality, but more work is needed to evaluate whether these benefits outweigh the consequences of minor declines in carbon gain for fruit production.

Grape must quality and mesoclimatic variability in Fruška Gora wine-growing region, Serbia

The Fruška Gora mountain is a traditional wine-growing region in Serbia situated in the Pannonian Basin. Due to such a position, the vicinity of the Danube River and the presence of concave configuration, it is suitable for grape production. This paper provides analyses of spatial variations in meteorological parameters and grape juice quality within Fruška Gora wine region over three consecutive vintages (2018-2020). The examined period can be defined as warm with cool nights during September (AVG 18,9°C; GDD 1918°C; CI 12°CF) and with the presence of mesoclimatic variability. The East part of the study area was somewhat drier and hotter compared to other parts of the region. The analyses of grape must samples (190 in total) of five cultivars (Cabernet-Sauvignon, Merlot, Chardonnay, Sauvignon blanc and Grašac (Welschriesling)) commonly grown across the region (19 sites), were performed using Fourier Transform Infrared Technology (FTIR). Among all cultivars, Sauvignon blanc was harvested first in the East area (DOY=246±5, GDD at harvest=1552±74, 22.2±0.7 °Brix), while the latest harvest was recorded for Cabernet-Sauvignon in the West (DOY=283±5, GDD at harvest=1936±187, 23.4±1.0 °Brix ). Both the red and white cultivars had higher acidity and YAN in the grape must if the vines were grown in the North and East compared to South and West areas. According to PCA analysis, Grašac showed the lowest variation in grape must chemical composition. Thus, the results confirm that Grašac is the most stable cultivar in Fruška Gora. All monitored cultivars reached technological fruit ripeness by the end of the growing season. However, it was difficult to reach full ripeness of red cultivars, mostly beacuse of uncoupling of technolocical and phenolic ripeness. Thus, Cabernet-Sauvignon had higher variations in GDD sums at harvest compared to other cultivars, which probably increased variations in grape must quality.

The impact of leaf canopy management on eco-physiology, wood chemical properties and microbial communities in root, trunk and cordon of Riesling grapevines (Vitis vinifera L.)

In the last decades, climate change required already adaptation of vineyard management. Increase in temperature and unexpected weather events cause changes in all phenological stages requiring new management tools. For example, defoliation can be a useful tool to reduce the sugar content in the berries creating differences in the wine profiles. In a ten-year field experiment using Riesling (Vitis vinifera L, planted 1986, Geisenheim, Germany), various mechanical defoliation strategies and different intensities were trialed until 2016 before the vineyard was uprooted. Wood was sampled from the plant compartments root, trunk, cordon and shoot for analyses of physicochemical properties (e.g. lignin and element content, pH, diameter), nonstructural carbohydrates and the microbial communities. The aim of the study was to investigate the influence of reduced canopy leaf area on the sink-source allocation into different compartments and potential changes of the fungal and prokaryotic wood-inhabiting community using a metabarcoding approach. Severe summer pruning (SSP) of the canopy and mechanical defoliation (MDC) above the bunch zone decreased the leaf area by 50% compared to control (C). SSP reduced the photosynthetic capacity, which resulted in an altered source-sink allocation and carbohydrate storage. With lower leaf area, less carbohydrates are allocated. This for example resulted in a decreased trunk diameter. Further, it affected the composition of the grapevine wood microbiota. SSP and MDC management changed significantly the prokaryotic community composition in wood of the root samples, but had no effect in other compartments. In general, this study found strong compartment and less management effects of the microbial community composition and associated physicochemical properties. The highest microbial diversities were identified in the wood of the trunk, and several species were recorded the first time in grapevine.

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.