GiESCO 2019 banner
IVES 9 IVES Conference Series 9 GiESCO 9 Impact of deficit irrigation strategies on terpene concentration in Gewürztraminer grapes

Impact of deficit irrigation strategies on terpene concentration in Gewürztraminer grapes

Abstract

Context and purpose of the study – Deficit irrigation is a viticultural practice often applied to improve the phenolic composition of red grapes and wines. However, the impact of this practice on grape terpenes – key aromatics for several grapes and wines – remains largely unknown. This study investigated the impact of deficit irrigation strategies on free and glycosylated terpenes in Gewürztraminer grapes.

Material and methods – In a field study conducted in Oliver, BC, in 2016, 2017, and 2018, deficit irrigation regimes were applied to Gewürztraminer vines at different developmental stages (pre-veraison = Early Deficit, ED; post-veraison = Late Deficit, LD; throughout the season = Prolonged Deficit, PD). A well-irrigated control (CN) treatment was also established. Treatments were replicated four times accordingly to a randomized block design. The impact of deficit irrigation treatments on vine physiology and berry metabolism was characterized with eco-physiological, biochemical, and molecular analyses. Starting three weeks after fruit set, midday-leaf water potential was measured every 7-14 days and leaf gas exchanges every 14-21 days. Berry samplings were conducted every 7-14 days to assess the effect of deficit irrigation treatments on berry sugar (total soluble solid, TSS), acid (titratable acidity, TA), and terpene concentration, as well as the expression of terpene genes. Free and glycosylated terpenes were identified and quantified using a SPME-GC-MS and a LI-GC-MS, respectively. Gene expression was analyzed using a quantitative RT-PCR.

Results – Midday leaf water potential, photosynthesis, and transpiration rates were reduced by deficit irrigation. ED, LD, and PD reduced vine yield when compared to CN, but LD reduction was small and not consistent among years. Sugar levels were also reduced by deficit irrigation, particularly by LD and PD. Total free terpenes were marginally affected by deficit irrigation treatments (P = 0.065); however, the concentration of specific terpenes, such as geraniol, was significantly (P< 0.05) higher in LD than in CN berries. LD did not increase the expression of terpene genes (e.g., VviDXSs, VviHDR, VviTPSs), suggesting that the observed increase in the concentration of some free terpenes was not regulated at the transcriptional level. Total glycosylated terpenes at harvest did not change among treatments.

DOI:

Publication date: March 12, 2024

Issue: GiESCO 2019

Type: Poster

Authors

Yevgen KOVALENKO1, Ricco TINDJAU1, Simone Diego CASTELLARIN1

1 Wine Research Centre, The University of British Columbia, 2205 East Mall, Vancouver, BC, V6T0C1, Canada

Contact the author

Keywords

Aroma, Grapevine, Ripening, Water Deficit, Yield

Tags

GiESCO | GiESCO 2019 | IVES Conference Series

Citation

Related articles…

Aroma composition of young and aged Lugana and Verdicchio

AIM Verdicchio and Lugana are two Italian white wines produced in the Marche and Garda lake regions respectively. They are however obtained using grape varieties sharing the same genetic background, locally known as Verdicchio in Marche and Trebbiano di Soave in Garda. Anecdotal evidence suggests that these two wine types exhibit distinctive aroma features. The aim of this work was to explore the existence of a recognizable odour profile for Lugana and Verdicchio, and whether specific aroma chemical markers could be identified. METHODS 13 commercial wines, 6 Lugana and 7 Verdicchio were used. Sensory analysis was done using sorting task methodology, assessing only odor similarities. A total of 53 volatile compounds were identified and quantified GC-MS analysis. Aging behaviors were also evaluated after an accelerated aging at 40 ° C for 3 months. RESULTS HCA analysis of sorting task data identified indeed two groups: one characterized by floral and minty notes and mostly associated with Lugana wines, the other characterized by spicy and toasted aromas and mostly associated with Verdicchio. From a chemical point of view, major differences between the two wines types were observed for cis-3-hexenol, methionol, phenylethyl alcohol, and geraniol.

Comparison of destructive and non-destructive measurements of table grape berries to assess quality parameters using spectroscopy

The quality of table grapes is critically influenced by several parameters, including sugar content, acidity, firmness, and overall appearance.

LARGE-SCALE PHENOTYPIC SCREENING OF THE SPOILAGE YEAST BRETTANOMYCES BRUXELLENSIS: UNTANGLING PATTERNS OF ADAPTATION AND SELECTION, AND CONSEQUENCES FOR INNOVATIVE WINE TREATMENTS

Brettanomyces bruxellensis is considered as the main spoilage yeast in oenology. Its presence in red wine leads to off-flavour due to the production of volatile phenols such as 4-vinylphenol, 4-vinylguaiacol, 4-ethylphenol and 4-ethylguaiacol, whose aromatic notes are unpleasant (e.g. animal, leather, horse or pharmaceutical). Beside wine, B. bruxellensis is commonly isolated from beer, kombucha and bioethanol production, where its role can be described as negative or positive. Recent genomic studies unveiled the existence of various populations.

Terroir et variabilité microclimatique : pour une approche à l’échelle de la parcelle

The climatic component is one of the elements of the zoning of viticultural potential, alongside the geological and pedological components (Morlat, 1989; Lebon et al , 1993). Many climatic indices have thus been defined to estimate the potential for wine production at the scale of a region or a country (Carbonneau et al ., 1992). The main climatic variables used are temperature and radiation. We note in particular the indices of Branas, Huglin and Ribereau-Gayon (Huglin, 1986). However, few studies have been undertaken on the spatial variability of microclimatic conditions at the scale of a vineyard, a valley, or even a municipality.

Prediction of sauvignon blanc quality gradings with static headspace−gas chromatography−ion mobility spectrometry (SHS−GC−IMS) and machine learning

The main goal of the current study is the development of a cost-effective and easy-to-use method suitable for use in the laboratory of commercial wineries to analyze wine aroma. Additionally, this study attempted to establish a prediction model for wine quality gradings based on their aroma, which could reveal the important aroma compounds that correlate well with different grades of perceived quality METHODS: Parameters of the SHS−GC−IMS instrument were first optimized to acquire the most desirable chromatographic resolution and signal intensities. Method stability was then exhibited by repeatability and reproducibility. Subsequently, compound identification was conducted. After method development, a total of 143 end-ferment wine samples of three different quality gradings from vintage 2020 were analyzed with the SHS−GC−IMS instrument. Six machine learning methods were employed to process the results and construct a quality prediction model. Techniques that aim to explain the model to extract useful insights were also applied.