GiESCO 2019 banner
IVES 9 IVES Conference Series 9 GiESCO 9 The impacts of frozen material-other-than-grapes (MOG) on aroma compounds of red wine varieties

The impacts of frozen material-other-than-grapes (MOG) on aroma compounds of red wine varieties

Abstract

Context and purpose of the study – An undesirable note called “floral taint” has been observed in red wines by winemakers in the Niagara region caused by large volumes of frozen leaves and petioles [materials-other-than-grapes (MOG)] introduced during mechanical harvest and subsequent winemaking late in the season. The volatiles, which we hypothesized are responsible, are primarily terpenes, norisoprenoids, and specific esters in frozen leaves and petioles. The purpose of this study was to investigate the volatile compounds which may cause the floral taint problem and explore how much of them (thresholds) may lead to the problem. Also, the glycosidic precursors of some of these compounds were analyzed to see the changes happening during frost events.
Materials and methods – Research winemaking was conducted in 2016, 2017 and 2018. All fermentations were based on 40-kg replicated ferments of Cabernet Franc (CF) and Cabernet Sauvignon (CS). MOG Treatments were (by weight): 0, 0.5%, 1%, 2% and 5% petioles, and 0, 0.25%, 0.5%, 1%, and 2% leaf blades. In 2017 and 2018, different yeast strains and harvest strategies were also included in the CF treatments. Yeast treatments included CSM, EC1118 and FX10. Harvest strategies involved conventional machine harvesting (MH), Braud-New Holland Opti MH, Gregoire 8 MH, MH + optical sorting, and MH with pre-harvest leaf removal. Concentrations of key odor-active compounds were quantified by gas chromatography-mass spectrometry with stir bar sorptive extraction.
Results – Several compounds including cis- and trans-rose oxides, β-ionone, citronellol, linalool, eugenol, methyl and ethyl salicylate were higher in MOG treatments for both CF and CS and their concentrations increased linearly with the accumulative levels of petioles or leaves. Principal components analysis showed petiole and leaf treatments were separated apart from the control sample with the 5% petioles and 2% leaves as the extremes. Petiole and leaf treatments were spread out on different axes, which indicated their large differences in volatile compositions. Interestingly, eugenol and rose oxides and many other compounds followed linear curves with the addition of petioles and leaves in the 2016 vintage, which could be potentially used as a tool to communicate with winemakers on potential floral taint risk based on their sensory thresholds. Preliminary results from 2017 showed that more terpene compounds were found in the standard MH treatment than the hand-harvested control, and the yeast EC1118 produced the least terpenes out of three different yeasts among all leaf and petiole addition treatments in most cases, while yeast strain FX10 produced the highest terpene concentrations. In general, petiole additions contributed more to the floral taint problem than leaf additions. Specifically, petioles contributed terpenes and salicylates (floral notes) to the wines, and leaves contributed norisoprenoids and C6 alcohols (green notes).

DOI:

Publication date: March 12, 2024

Issue: GiESCO 2019

Type: Poster

Authors

Jiaming WANG1, Emilie AUBIE2, Yi-Bin LAN1, Marnie CROMBLEHOLME1, Andrew REYNOLDS1*

1 Cool Climate Oenology & Viticulture Institute, Brock University, St. Catharines, ON, L2S 3A1, Canada. 2Andrew Peller Winery, 697 S Service Rd, Grimsby, ON L3M 4E8, Canada

Contact the author

Keywords

MOG, floral taint, yeasts, harvest strategies, leaves, petioles, GC-MS, terpenes

Tags

GiESCO | GiESCO 2019 | IVES Conference Series

Citation

Related articles…

Prove preliminari dl caratterizzazione del vino gutturnio dei colli piacentini

The “GuIturnio dei Colli Piacentini” V.Q.PR.D. results from the vinification of Barbera (55-70%) and Bonarda (30-40%) cultivars, grown in the hilly area of the Piacenza district, identified by the DM 31-07-93 art. 3.
The present work concerns the “zonation” of this area, constituted by 3 valleys Tidone (A), Nure (B) and Arda (C )

Deep learning based models for grapevine phenology

the phenological evolution is a crucial aspect of grapevine growth and development. Accurate detection of phenological stages can improve vineyard management, leading to better crop yield and quality traits. However, traditional methods of phenological tracking such as on-site observations are time-consuming and labour-intensive. This work proposes a scalable data-driven method to automatically detect key phenological stages of grapevines using satellite data. Our approach applies to vast areas because it solely relies on open and satellite data having global coverage without requiring any in-field data from weather stations or other sensors making the approach extensible to other areas.

Detoxification capacities of heavy metals and pesticides by yeasts 

Winegrowing is still characterized by the extensive use of chemical fertilizers and plant protection products, despite strong recommendations to limit these practices. A part of these xenobiotics and metals are then found in grape juice and wine, causing a major health concern, as well as negatively affecting the fermentation process. In recent years, there has been renewed interest in non-Saccharomyces yeasts. These species have a wide phenotypic diversity, which would be exploited to broaden the aromatic palette of wines.

The role of climate/soil of different zones/terroirs on grape characteristics

According to the different concern of the ‘traditional’ and the ‘new’ wine-producing Countries, a variable importance is recognized to the climate/soil and to grapevine cultivars as factors affecting the wine quality. However, the viticultural experience can state that, within each area, climate and soil plays an incontestable role in affecting grape quality, and consequently wine quality, as well as the genetic characteristics of the cultivar.

Estimation of stomatal conductance and chlorophyll fluorescence in Croatian grapevine germplasm under water deficit    

Water deficit profoundly impacts the quality of grapes and results in considerable reductions in crop yield. First symptoms manifest with reduced stomatal conductance and transpiration, accompanied by the wilting of apical leaves and tendrils. So far, there is no available data on the water stress response in Croatian grapevine germplasm. Therefore, objective of this study was to determine influence of genotype and treatment on stomatal conductance (gsw), transpiration (E), electron transport rate (ETR), and quantum efficiency in light (PhiPS2).