GiESCO 2019 banner
IVES 9 IVES Conference Series 9 GiESCO 9 Effects of abscisic acid treatment on Vitis vinifera L. Savvatiano and Mouchtaro grapes and wine characteristics

Effects of abscisic acid treatment on Vitis vinifera L. Savvatiano and Mouchtaro grapes and wine characteristics

Abstract

Context and purpose of the Study –Grapes development is determined by grape cultivar and vineyard climatic conditions and consequently affecting the phenolic and aroma on grapes and wines. Abscisic Acid (ABA) plays a key role in the promotion of fruit ripening and fruit anthocyanin content. Herein, we report the impact of ABA to grape ripening and wine quality.

Material and Methods – Experiments were conducted during 2018 on Vitis vinifera L. Mouchtaro and Savvatiano grapevines at the Muses Estate winery (Muses Valley). All treatments were applied in triplicate in a randomized complete block design, with 25 vines for each replicate. Vines were sprayed with 0, 400 or 800 mg/L ABA aqueous solution at véraison, 3 and 6 days after the first application. Grapes were harvested at optimum sugar maturity and classical red and white winemaking procedures were followed. Standard analytical methods recommended by O.I.V. were used for grapes and wines (pH, alcoholic degree, total acidity, volatile acidity). Also, colour intensity, total phenolic compounds, tannin determination (Habertson et al., 2002; Sarneckis et al., 2006), browning test (Sioumis et al.,2006), and sensory analysis were performed.

Results- In both varieties, harvest was delayed in grapevines treated with ABA which is a highly promising result. According to the browning test, the lower value (k= 0.0024) for the color change factor of Savvatiano wines was observed at 400 mg/L ABA. Higher k values, of 0.0031 and 0.0037, were recorded at control wine and at 800 mg/L ABA, respectively. Consequently, it seems that wines produced by grapes treated with 400 mg/L of ABA would develop brown color later than the other samples examined in this study. Mouchtaro wines recorded the highest concentration of total anthocyanins (666- mg/L) for the wines produced by grapes treated with the highest ABA concentration. At the lower ABA concentration and the control the anthocyanins concentration was 640 and 568 mg/L, respectively. Wines were assayed for tannins according to BSA and MCP methods. Following the same trend, highest tannin concentration was observed at the highest ABA treatment (BSA: 9,40 mg/ L, and MCP :831 mg/L). Lower values of tannin concentration were recorded at the control wine (BSA: 6,98 & MCP :494 mg/L) and at the lowest ABA treatment (BSA: 6,42 & MCP: 609 mg/L ). Highest value of color intensity were scored by the wines receiving the highest ABA treatment (13,3) whereas, control and lower ABA concentration wines scored lower values (10,8 and 11,1). These preliminary results provide an insight into the effect of ABA on wine grapes, which is useful for grape quality.

DOI:

Publication date: September 29, 2023

Issue: GiESCO 2019

Type: Poster

Authors

Dimitrios-Evangelos MILLIORDOS1, Εvaggelia NANOU1, Nikolaos KONTOUDAKIS1, Yorgos KOTSERIDIS1

1 Agricultural University of Athens, Department of Food Science and Human Nutrition, Oenology Laboratory

Contact the author

Keywords

Absisic Acid, Vitis vinifera, Mouchtaro, Savvatiano

Tags

GiESCO | GiESCO 2019 | IVES Conference Series

Citation

Related articles…

Study to optimize the effectiveness of copper treatments for low impact viticulture

Among all pathologies that afflict grapevine, Downy Mildew (DM) is the most important. Generally controlled using Copper (Cu), recently European Commission confirmed its usage but limiting the maximum amount to 28 Kg per hectare in 7 years (Reg. EU 2018/1981).

Exploring physiological diversity in Vitis genotypes: hydraulic traits in vines for oenological purposes and vines for table grapes

to maintain viticulture under global warming conditions, it is important to carefully select the appropriate genotypes for each vine-growing region and develop cultivars that are drought resistant. this ability is highly dependent on hydraulic traits, which are dynamic and vary according to the vine’s developmental stage and climatic conditions. this framework steadily enhances our understanding of the differences in drought resistance among vitis genotypes. however, there is still a need to comprehensively grasp the intra-specific variability, particularly between oenological and table grape cultivars.

Corvina berry morphology and grape composition as affected by two training system (Pergola and Guyot) in a context of climate change scenario

The Valpolicella area (Veneto Region, Italy) is famous for its high quality wines: Amarone and Recioto, both obtained from partial post-harvest dehydrated red grapes. The main cultivars used for these wines are Corvina and Corvinone. In this Region hundreds of years ago a particular training system (Pergola, cordon/cane with horizontal shoot-positioning) was developed. In the last 20 years the Guyot have been introduced in the area; now Pergola and Guyot are equally widespread in the Valpolicella area. In two different environmental conditions (hill and floodplain) two vineyards, one for each type of training system, were studied along two years (2011-2012).

Inactivated yeasts: a case study for the future of precision enology

Yeasts serve as highly versatile tools in oenology. They do more than just perform alcoholic fermentation. Nowadays, yeasts from various species, naturally present in grapes, are selected for specific non-fermentative applications. For example, the use of selected non-saccharomyces at the early stage of winemaking has become a common practice to limit the growth of unwanted microorganisms. When inactivated, yeasts can be fractionated into soluble and insoluble fractions providing a wide range of benefits related to structural components or specific metabolites.

How artificial intelligence (AI) is helping winegrowers to deal with adversity from climate change

Artificial intelligence (AI) for winegrowers refers to robotics, smart sensor technology, and machine learning applied to solve climate change problems. Our research group has developed novel technology based on AI in the vineyard to monitor vineyard growth using computer vision analysis (VitiCanopy App) and grape maturity based on berry cell death to predict flavor and aroma profiles of berries and final wines.