Macrowine 2021
IVES 9 IVES Conference Series 9 Evaluation of intrinsic grape berry and cluster traits for postharvest withering kinetics prediction

Evaluation of intrinsic grape berry and cluster traits for postharvest withering kinetics prediction

Abstract

To make some particular wine styles (e.g., Amarone), grapes are harvested and stored in dehydrating rooms before vinification, in a process called withering. This practice increases the concentration of sugars and other solutes and encourages the accumulation of unique aroma compounds in berries. Previous investigations evidenced that the kinetics of grape dehydration highly affects the quality of the produced wine. Along with the well-known effects of the environmental conditions, the cluster and berry morphology have an important role in the determination of the grape water loss rate. However, the relative contribution of each cluster/berry physical trait to the dehydration rate and the possibility to predict the latter parameter in advance, are poorly studied aspects. The aim of this work was to investigate the effect of several grape physical/morphological parameters on the withering kinetic rate, individuating potential predictors of the grapes behavior during postharvest dehydration. Four red wine grape cultivars, Corvina, Corvinone, Cabernet-Sauvignon and Cavrara, were harvested at commercial ripening and their cluster compactness, berry surface area to volume ratio, skin thickness and skin waxes quantity were measured. Furthermore, a novel rapid dehydration test in a controlled forcing environment (50 °C; 400 mbar; 24 h) was applied on grape clusters to assess their intrinsic tendency to lose water. The grapes were then withered for 77 days, under controlled environmental conditions simulating the commercial process, and the dehydration kinetic rates were obtained. Multivariate and correlation analyses were employed to search and score the relation between each measured parameter and the withering kinetic rate. The parameters which were pointed out as good predictors of the grapes water loss attitude were the skin thickness, berry surface area to volume ratio and cluster compactness. However, intra-cultivar analyses performed on Corvina and Corvinone separately have not identified parameters with significant correlations to the withering kinetic rate, likely because of the very low variability observed among accessions of the same cultivar.

DOI:

Publication date: September 7, 2021

Issue: Macrowine 2021

Type: Article

Authors

Ron Shmuleviz 

Department of Biotechnology, University of Verona, Via della Pieve 70, 37029 – San Floriano, San Pietro in Cariano – VR, Italy., Giovanni Battista TORNIELLI, Department of Biotechnology, University of Verona, Via della Pieve 70, 37029 – San Floriano, San Pietro in Cariano – VR, Italy.

Contact the author

Keywords

wine grapes, dehydration kinetics, withering, fruit morphology, amarone

Citation

Related articles…

H-NMR metabolic profiling of wines from three cultivars, three soil types and two contrasting vintages

Differences in wine flavour proceed primarily from grape quality. Environmental factors determined by the climate, soil and training systems modify many grape and wine quality traits. Metabolic profiling based on proton nuclear magnetic resonance (1H-NMR) spectra has been proved to be useful to study multifactorial effects of the vine environment on intricate grape quality traits. The capacity of this method to discriminate the environmental effects on wine has to be demonstrated.

Integrated sustainability assessment in viticulture: An indicator-based approach applied to organic vineyards

Over the past two decades, sustainable vineyard management practices have become increasingly important as the wine industry is facing critical challenges, including climate change, biodiversity loss, and soil degradation.

Delayed irrigation nearly doubles yield loss compared to anthocyanin gain in Southern Oregon Pinot noir

Irrigation initiation timing is a critical annual management decision that has cascading effects on grapevine productivity and wine quality.

Analysis of peptide fraction from white wines

Among nitrogen compounds included in white wines, the peptide fraction is certainly the least studied, however this fraction is quantitatively the most important (Feuillat, 1974). Existing studies concern the fraction below 1 kDa and only for white and sparkling wines (Bartolomé et al, 1997, Desportes et al 2000). In this report, we have developed methods to isolate peptides from reference white wines. Then, we have applied this methodology with bitter wine to answer a research question: is there a relation between peptides and the bitterness of white wine as for some cheese for example (Furtado, 1984)?

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.