Terroir 2020 banner
IVES 9 IVES Conference Series 9 Sensory profiles of Shiraz wine from six Barossa sub-regions: a comparison between industry scale and standardised small lot research wine making

Sensory profiles of Shiraz wine from six Barossa sub-regions: a comparison between industry scale and standardised small lot research wine making

Abstract

Aims: The Barossa wine region in South Australia comprises six sub-regions and is renowned for its Shiraz wines. However, there is no comprehensive documentation of the distinctive sensory characteristics of wines from these sub-regions.

Methods and Results: Shiraz wines from the six Barossa sub-regions (Central Grounds, Eastern Edge, Northern Grounds, Southern Grounds, Western Ridge and Eden Valley) were evaluated blind and in duplicate using descriptive sensory analysis by a highly trained panel of 12 experienced tasters. Evaluated wines were made with either standardised small lot winemaking (40L ferments, 2018 n= 69, 2019 n=72) or commercially produced (2018 n=44, 2019 n=76). Wine samples for sensory analysis were collected directly after completing malolactic fermentation and before maturation in oak or blending. Each vintage, the two sample sets were evaluated consecutively by the same panel, small lot wines followed directly by the commercially produced samples.

Results of the canonical variate analysis showed that wines from Eden Valley were consistently characterised as being more savoury (meaty, broth) compared to the other five sub-regions, for both vintages and production methods. Unlike their industry scale counterparts, research wines from the Western Ridge sub-region were characterised as more tannic (astringent, rough) for both vintages. Less consistent separation was observed for the other four sub-regions, with wines generally being described as fruit forward, with intense dark and red fruit.

Conclusions: 

Sensory profiles of Shiraz wines from the six Barossa sub-regions revealed a small number of consistent sub-regional characteristics for both standardised and industry scale wine samples across the two vintages.

Significance and Impact of the Study: Detailed sensory profiles for research and industry scale wine can provide valuable information for producers to best showcase wine sub-regional characteristics for marketing/promotional purposes. Next, sensory profile findings will be analysed along with soil, climate, berry and wine composition data as well as information on viticultural practices in an attempt to explain sub-regional differences and identify drivers of regionality.

DOI:

Publication date: March 17, 2021

Issue: Terroir 2020

Type: Video

Keywords

Sensory profiling, typicity, descriptive analysis, regionality, red wine

Tags

IVES Conference Series | Terroir 2020

Citation

Related articles…

The use of viticultural and oenological performance of grapevines to identify terroirs: the example of Sauvignon blanc in Stellenbosch

Identification and characterisation of terroirs depends on knowledge of environmental parameters, functioning of the grapevine and characteristics of the final product. A network of plots of Sauvignon blanc was delimited in commercial vineyards in proximity to weather stations at 20 localities and their viticultural and oenological response was monitored for a period of seven years. These experimental plots were further characterised with respect to climate, soil and topography.

Forcing vine regrowth in Vitis vinifera cv. Touriga nacional at Douro region

[lwp_divi_breadcrumbs home_text="IVES" use_before_icon="on" before_icon="||divi||400" module_id="publication-ariane" _builder_version="4.20.4" _module_preset="default" module_text_align="center" module_font_size="16px" text_orientation="center"...

Detection of spider mite using artificial intelligence in digital viticulture

Aim: Pests have a high impact on yield and grape quality in viticulture. An objective and rapid detection of pests under field conditions is needed. New sensing technologies and artificial intelligence could be used for pests detection in digital viticulture. The aim of this work was to apply computer vision and deep learning techniques for automatic detection of spider mite symptoms in grapevine under field conditions. 

Effect of the shade generated by simulated solar panels in two row orientation on the physiology and productivity of Vitis vinifera L. cv. Malbec

Context and purpose of the study. In regions where grapevines are grown under irrigation, like most regions in Argentina, the wine industry should adopt more sustainable strategies and production systems towards a higher water use efficiency and a reduction in no-renewable energy consumption.

Modelling leaf water potential from physiological and meteorological variables – A machine learning approach

Viticulture is a key economic sector in the mediterranean region. However, climate change is affecting global viticulture, increasing the frequency of heatwaves and drought events.