GiESCO 2019 banner
IVES 9 IVES Conference Series 9 GiESCO 9 Modeling sugar accumulation dynamics of a wide variety of grape cultivars (Vitis vinifera L.)

Modeling sugar accumulation dynamics of a wide variety of grape cultivars (Vitis vinifera L.)

Abstract

Context and purpose of the study – Climate change is a major challenge in wine production. The IPCC (2014) projected that by the end of the 21st century average temperatures will increase by 1-3.7°C. Consequently, harvest dates could advance by approximately 30 days. A general observed trend is the increase in berry sugar content and decrease in organic acids, posing challenges for winegrowers. Variability among cultivars is a precious resource to adapt viticulture to a changing environment.The aim of this study is to model and compare the sugar accumulation dynamics for a wide variety of Vitis Vinifera (L.) grape cultivars. Determining ripening dynamics with the help of a single mathematical function will allow for cultivar classification and provide a means of determining suitability of grape cultivars under conditions of climate change, or in potentially new wine producing regions.

Material and methods – Berry samples were collected from 50 different Vitis Vinifera (L.) cultivars at four replicate locations within a common-garden randomized complete block design at the ISVV from 2012-2018. Samples were collected weekly between mid-veraison and maturity, from which berry fresh weight, reducing sugar, and other parameters were measured. The integrative indicator of water status (∂13C) was measured at maturity for every cultivar. A 3-parameter logistic function was fitted for sugar accumulation expressed in both concentration (g/L) and content (mg/berry).

Results – A logistic model was parameterized to the sugar accumulation data from 50 grape cultivars and ripening traits were extracted. Analysis of variance revealed there was a strong cultivar effect on the rate of sugar accumulation, while there was a strong year effect on the total sugar concentration accumulated. The length of the ripening period showed to be dependent on both year and cultivar. This research aids in determining the suitability of grape cultivars under changing climate conditions or in newly projected viticultural areas. The coefficients extracted from the model allow for the testing of other hypotheses and research questions. One of the questions under investigation, is whether the rate of sugar accumulation is influenced by water deficit (∂13C) and climatic variables (temperature, PAR, etc.).

DOI:

Publication date: September 28, 2023

Issue: GiESCO 2019

Type: Poster

Authors

Bruno SUTER1, Agnès DESTRAC-IRVINE1, Mark GOWDY1, Zhanwu DAI1, Cornelis VAN LEEUWEN1

EGFV, Bordeaux Sciences Agro, INRA, ISVV, Univ. of Bordeaux, F-33882 Villenave d’Ornon, France

Contact the author

Keywords

sugar accumulation dynamics, logistic function, ripening traits, water status, temperature, grapevine cultivars

Tags

GiESCO | GiESCO 2019 | IVES Conference Series

Citation

Related articles…

Unveiling the Grapevine Red Blotch Virus (GRBV) host-pathogen arms-race via multi-omics for enhanced viral defense 

The Grapevine Red Blotch Virus (GRBV) poses a critical challenge to the wine sector, lacking a uniquely identified vector. Current control methods involve costly and labor-intensive vine removal, emphasizing the urgency for targeted alternatives. The limited understanding of intricate host-virus interactions underscores the need for foundational knowledge to develop innovative disease control strategies. These include efforts to boost the plant’s RNA interference (RNAi) response, including RNA-based topical applications.

Fingerprinting the origin of rosé wines with a new high throughput polyphenomics method

Wine is a widely consumed alcoholic beverage with a high commercial value. More specifically, the worldwide consumption of rosé wine has increased by 20% since 2002[1]. But because of its high commercial value, it can become a subject of fraud, and authenticity control is necessarily required. More than one hundred polyphenols have been recently quantified in various rosé wines [2]. They are key components defining color, taste and quality of wines. Their amount and composition depend on many different factors such as grape variety, winemaking and age of the wine. In this study, the influence of geographic origin of some rosé French wines was investigated. An original and very fast UPLC-QTOF-MS method was developed and used to predict the geographic origin authenticity of rosé wines.

Enological potential of autochtonous grape cultivars from Castilla y León (Spain) to elaborate sparkling wines: polyphenolic and biogenic amines and amino acid composition of base wines

In white wines, Verdejo wine stands out because of its high content in total amino acids. The total content in biogenic amines was low in all wines analyzed and putrescine was the predominant biogenic amine.

Implementation of hyperspectral image analysis for evaluating table grape quality on bunch and berry level

Typically, subjective, and visual methods are used by grape growers to assess harvest maturity. These methods may not accurately represent the maturity of an entire vineyard – especially if extensive and representative sampling was not used. New technologies have been investigated for improved harvest management decisions. Spectroscopy methods utilizing the near-infrared region of the light spectrum is one such technology investigated as an alternative to classic methods and particularly the application of hyperspectral imaging (HSI) has recently gained attention in research. HIS is a spectroscopic technique that obtains hundreds of images at different wavelengths collecting spectral data for each pixel in the sample i.e., providing both spectral and spatial data.

Terroir, sol et sous-sol : principes de modélisation spatiale de quelques paramètres physiques caractérisant le substrat altéré dans les régions viticoles établies sur socle ancien

For several years, the development of computer resources, and in particular of Geographic Information Systems, have allowed the emergence of a new approach to the analysis and characterization of wine-growing areas (Morlat, 1989; Laville, 1990). These methods, which make it possible to identify homogeneous areas or units of terroir, are based on crossing, statistical analysis (in particular Principal Component Analysis: PCA) and the integration of parameters describing the natural environment in which develop the vine.