IVAS 2022 banner
IVES 9 IVES Conference Series 9 IVAS 9 IVAS 2022 9 Predictive Breeding: Impact of véraison (onset of ripening) on wine quality

Predictive Breeding: Impact of véraison (onset of ripening) on wine quality

Abstract

Grapevine breeding focuses on high wine quality and climate-adapted grapevine varieties with fungal disease resistances to be cultivated in a pesticide-reduced and sustainable viticulture. While a number of resistance loci can be identified in marker-assisted selection (MAS), no adequate tools for an early detection of the highly important wine quality potential is available up to now. This is mainly due to the enhanced complexity of multifactorial traits and interrelated parameters. Implementation of quality traits to MAS has the potential to improve grapevine breeding efficiency considerably and is demanded by breeders. These traits bear the potential for an early negative selection of poor quality genotypes in recently germinated seedlings and could lead to an early identification of high quality genotypes in advanced breeding stages. In recent decades, the effects of global warming led to a well-documented earlier flowering and ripening in viticulture with strong impact on wine quality. A number of traditional grapevine cultivars show the tendency to ripen too early in most years in the wine growing regions of Germany. To deliver future climate adapted cultivars this has to be considered during selection.
The véraison called onset of ripening is characterized by berry softening, onset of sugar and aroma accumulation, switch from organic acid formation to degradation, and for red cultivars start of coloration. Thus, véraison marks the transition from berry growth to berry ripening.
Date of véraison was recorded for a ‘Calardis Musqué’ x ‘Villard Blanc’ white wine F1 population with 150 genotypes. Data of 17 individual datasets obtained over a period of 22 years and from three different field plots were included. Based on a genotyping-by-sequencing (GBS) approach and a novel bioinformatics pipeline to deliver highly informative haplotype-based markers (HBMs), a high density genetic map with 2,260 genome-wide distributed HBMs was used for quantitative trait loci (QTL) analysis.
The major QTL for véraison, Ver1, on chromosome 16, was validated. The improved data density and a locus-specific marker-densing (LSMD) approach narrowed down the postulated region from about 5 Mb with hundreds of genes to 174 kb encoding 13 genes including one strong candidate gene. Minor QTLs were observed on chromosomes 2, 7, 13, 17, and 18.
This knowledge is the starting point to develop suitable tools like MAS markers for grapevine breeding to select genotypes with the desired ripening time. In addition, unraveling the impact of véraison on quality determining constituents such as organic acids, sugars and aroma compounds will allow us to breed in a more targeted approach those new varieties, which are better adapted for future climatic conditions.

DOI:

Publication date: June 23, 2022

Issue: IVAS 2022

Type: Article

Authors

Schwander Florian1, Röckel Franco1, Frenzke Lena2, Wenke Torsten3, Siebert Annemarie4, Vestner Jochen4, Fischer Ulrich4, Wanke Stefan2 and Töpfer Reinhard1

1Julius Kühn-Institut (JKI), Institute for Grapevine Breeding Geilweilerhof
2Technische Universität Dresden, Institut für Botanik
3ASGEN GmbH & Co. KG
4DLR Rheinpfalz, Institute for Viticulture and Oenology

Contact the author

Keywords

Veraison, quantitative trait loci, haplotype-based markers, locus-specific marker-densing, marker-assisted selection

Tags

IVAS 2022 | IVES Conference Series

Citation

Related articles…

L’effetto paesaggio sul sistema delle preferenze: i vini veneti tra evocazioni di consumo e determinanti di scelta

La presente relazione mira ad individuare il ruolo del paesaggio nella determinazione delle preferenze della domanda, in modo da far emergere i fattori immateriali che definiscono il valore territoriale dei vini tipici su cui far leva per le strategie di marketing. L’analisi ha riguardato vini tipici del Veneto e coinvolto soggetti non provenienti da questa Regione. Ne è emerso l’effetto amplificativo dell’immagine del paesaggio sulla qualità percepita.

Can wine competition awarded points be correlated with wine chromatic and aromatic composition?

The quality of wine is difficult to define. This is most certainly accredited to everyone´s different perception of quality. Some of the indicators of high-quality wines are complexity, balance, color and intensity. Color is one of the most crucial attributes of quality, not only for the obvious implications for their perception but also because they are indicators of other aspects related to its aroma and taste. Phenolic compounds are the main responsible for wine color, being anthocyanin and tannins the most determinant compounds in red wines. In addition to color, wine aroma is another important attribute linked with quality and consumer preferences.

Tannin potential and molecular toasting in cooperage: a tool to modulate fruity expression of red wine

AIM: Oak wood play traditionally a huge role in making fine red wines. During wine maturation, barrel yields some of its constituents to the wine and leads to the improvement of its quality, contributing to richness and complexity [1].

Effects of laccase from Botrytis cinerea on the oxidative degradation kinetics of the five natural grape anthocyanins

Enzymatic browning[1] is an oxidation process that occurs in many foods that increases the brown colour[2]. This problem is especially harmful in the wine industry[3]. especially when the grapes are infected by grey rot since this fung release the oxidative enzyme laccase[4]. In the particular case of red wines, the presence of laccase implies the deterioration of the red colour and can even cause the precipitation of the coloring matter (oxidasic haze)[5].

MicrobiomeSupport: Towards coordinated microbiome R&I activities in the food system to support (EU and) international bioeconomy goals

Microbiomes have crucial roles in maintaining life on Earth, and their functions drive human, animal, plant and environmental health. The microbiome research landscape is developing rapidly and is performed in many different science fields using similar concepts but mostly one (eco)system at-a-time. Thus, we are only starting to unravel and understand the interconnectedness of microbiomes across the (eco)systems.