getpdf NLM PubMed Logo https://doi.org/10.17113/ftb.63.03.25.8804 Supplement      

Impact of Fruit Zone Leaf Removal on Anthocyanin Stability in Wine During Bottle Ageing

Marina Pavlović1*#orcid tiny, Zoran Zorić1#orcid tiny Šime Marcelić1orcid tiny, Maja Repajić2orcid tiny, Name SurnamIva Šikuten3,4orcid tiny and Darko Preiner3,4orcid tiny

1University of Zadar, Department of Ecology, Agronomy and Aquaculture, Trg kneza Višeslava 9, 23000 Zadar, Croatia

2University of Zagreb Faculty of Food Technology and Biotechnology, Pierottijeva 6, 10000 Zagreb, Croatia

3University of Zagreb Faculty of Agriculture, Svetošimunska cesta 25, 10000 Zagreb, Croatia

4The Centre of Excellence for Biodiversity and Molecular Plant Breeding, Svetošimunska 25, 10000 Zagreb, Croatia

cc by Copyright © 2024 This is a Diamond Open Access article published under CC-BY licence. Copyright remains with the authors, who grant third parties the unrestricted right to use, copy, distribute and reproduce the article as long as the original author(s) and source are acknowledged.

Article history:

Received: 31 July 2024

Accepted: 20 May 2025

Published online: 24 September 2025

Keywords:

red wine; anthocyanin stability; phenolic compounds; wine ageing; Mediterranean climate  

E WEB Goal 09E WEB Goal 12E WEB Goal 13
The content of this publication has not been approved by the United Nations and does not reflect the views of the United Nations or its officials or Member States.

Summary:

Research background. Anthocyanins, the most abundant pigments in red wine, play an important role in the visual aspect of wine sensory properties. However, due to their unstable nature, their ability to polymerise with tannins is important for colour stability. Their content varies with grapevine variety, growing conditions, viticultural and winemaking practices. Leaf removal, a common viticultural practice, enhances anthocyanin accumulation in red grapevines, and partial fruit zone leaf removal at different phenological stages can significantly influence the anthocyanin content of grapes and wine. This two-year study examined how two different times of fruit zone leaf removal at different phenological stages affect the initial anthocyanin content in wine and their stability during ageing in Merlot, Syrah and Cabernet Sauvignon wines grown in a Mediterranean climate.

Experimental approach. Partial leaf removal was applied during flowering and during vérasion and compared with untreated control. The wines obtained from all treatments and varieties were bottled two months after the end of fermentation, and then stored and matured under the cellar conditions for one year. To determine the influence of different times of leaf removal on the concentration of anthocyanins and their stability in the wine, the wines were analysed immediately after bottling and again after 6 and 12 months of storage. For the determination of all phenolic compounds, high-performance liquid chromatography (HPLC) was used.

Results and conclusions. Leaf removal treatments increased the concentration of anthocyanins in all three cultivars. The obtained results showed that malvidin-3-O-glucoside (Mal-3-Glc) was the most abundant individual anthocyanin, while the most unstable anthocyanin was petunidin-3-O-coumaroyl glucoside (Pet-3-Coum-Glc). Initial concentration of total anthocyanins in all wine samples was significantly affected by different conditions in the two years of study, but with a significant effect of the defoliation treatments. Anthocyanin concentration decreased during the ageing of the wine, and the degradation of anthocyanins ranged from 36 to 90 %. The stability of anthocyanins in wine was most influenced by ageing time, while year and treatment had no influence. The concentration of total phenolic acids increased during wine ageing, while the concentration of total flavonol glycosides (TFG) decreased in all wine samples except Merlot from 2016.

Novelty and scientific contribution. The results of this study contribute to a better understanding of the stability of increased concentrations of anthocyanins in wines during ageing obtained by the practice of grapevine leaf removal in the vineyard.

*Corresponding author: +38523233322
  This email address is being protected from spambots. You need JavaScript enabled to view it.

 
#Both authors contributed equally

INTRODUCTION

Anthocyanins are water-soluble pigments that occur in the vacuoles of the skin cells responsible for the red colour of the grape skin and are responsible for the intense colour of red wines (1). Besides being colour pigments, anthocyanins have other roles, such as protecting plants from excessive sun and UV radiation, scavenging free radicals, increasing antioxidant capacity and protecting against numerous pathogenic organisms (2).

Anthocyanin biosynthesis is one of the most important biochemical processes during the growth and development of red grapevine cultivars. The accumulation of anthocyanins in the berry skin is influenced by agroecological factors, the most important of which are grapevine variety, climate, soil conditions, canopy management irrigation and yield (3).

The accumulation of anthocyanins in grapes begins at vérasion and is characterized by a rapid increase in concentration in the first stage, followed by a slower accumulation or even a drop in the concentration by the end of ripening (4, 5).

Leaf removal in the cluster zone, as a common viticultural practice, has a significant role in the synthesis of polyphenols in grapes. Due to excessive insolation and UV radiation, the plant synthesises anthocyanins as a defence mechanism (2). Light positively affects the accumulation of anthocyanins in the berry (6, 7). Excessive lighting can, indirectly by heating the berries, lead to their reduction (8, 9) because temperatures above 30 °C cause inhibition of anthocyanin synthesis (10). This phenomenon significantly depends on the variety, so in certain varieties, partial defoliation positively affects the synthesis of polyphenols (11, 12) without the negative influence of increased temperature (8, 13).

Regarding the time of leaf removal, the impact on specific grape qualitative (sugar concentration, titratable acidity, phenolic compounds, etc.) and quantitative parameters (yield), and thus on the wine, is different. The early leaf removal, before or during flowering, has the effect of increasing the concentration of total anthocyanins, as shown in different grapevine varieties such as Tempranillo (12), Carignan (14), Barbera and Lambrusco (15). According to Di Profio et al. (16) partial leaf removal of basal leaves on Merlot, Cabernet Sauvignon and Cabernet franc increases the concentration of total anthocyanins and colour intensity of all three cultivars. By removing the leaves after vérasion, Palliotti et al. (17) determined that the anthocyanin content was not significantly different from that of the control vines without leaf removal. Late leaf removal, during vérasion, reduces anthocyanin content and increases the negative impact of sunburn, while leaf removal before flowering increases sugar and anthocyanin content (11).

The main drawback of anthocyanins is their extremely low stability, which is easily influenced by external factors, such as light and temperature (18). Thus, it is extremely important for the red wine colour stability that anthocyanins are found in more stable (glycoside) forms. Anthocyanins are initially found in grapes in monomeric forms. As they are highly reactive in nature, their forms change in various reactions and interactions during winemaking and wine ageing (1). The stability of anthocyanins can be achieved in several ways, by copigmentation or polymerisation with flavan-3-ols and procyanidins, creating new pigments and polymeric anthocyanins that significantly affect the stability of wine colour (19-21). The stability of anthocyanins can be achieved by sugar acylation (2) because the rest of the sugar can be acylated with aromatic or aliphatic acids at the C-6 position. Although the initial concentration of anthocyanins in young wines is high immediately after fermentation, due to their instability, the concentration of these acylated anthocyanins drops just after fermentation, and they disappear after a few months (22). The concentration of anthocyanins in young wines after fermentation can vary from 100 to 1500 mg/L, depending on the cultivar (22).

The aim of this study is to investigate the influence of different times of fruit zone leaf removal on the content and stability of anthocyanins in wines of Merlot, Syrah and Cabernet Sauvignon during ageing in bottles.

MATERIALS AND METHODS

Vineyard site, plant material and weather conditions

The research was conducted in 2015 and 2016 on cultivars Merlot, Syrah, and Cabernet Sauvignon. The vineyard is located 20 km north of Zadar (Baštica, Suhovare) in Dalmatia region, subregion Dalmatian hinterland (latitude 44°06´N; longitude 15°13´E) and is a part of the University of Zadar, Croatia. All three grapevine cultivars were grafted on Kober 5BB (Vitis berlandieri Planch. × Vitis riparia Michx.) rootstock, which was planted in 2007 on anthropogenic soil called regosol with a sandy clay texture. The vines were planted with a spacing of 90 cm within the row and 280 cm between rows (planting density of 4100 vines per ha). All three grapevine cultivars were trained to a vertical shoot position with single-cane-pruned Guyot, leaving about 12 to 14 buds per vine. The basal wire was placed at 100 cm above the ground, with two sets of catch wires positioned 50 and 90 cm above the cordon. The maximum canopy height was 200 cm. The experimental field had no irrigation system and the space between the rows was grassed. The same vineyard management practices were used for all treatments.

The beginning of the main grapevine phenophases was determined visually. Full flowering was estimated when 50 % of the flower caps had fallen off, corresponding to stage 23 according to the modified Eichorn and Lorenz (E-L) system (23), while vérasion was estimated when the berries started to brighten in colour, corresponding to stage 35 according to the same scale.

The harvest date was determined by measuring the total soluble solids (Brix), total acids (g/L), and pH. Harvesting began when the total soluble solids were above 19 °Brix. Grapes were harvested manually at different times depending on the grapevine variety and measured parameters. Grapes for each treatment were harvested separately.

Weather conditions, including average temperature and precipitation for both seasons from April to September, were measured by the Croatian Meteorological and Hydrological Service (Weather station Benkovac), 25 km from the experimental vineyard, and the data are shown in Table S1. The weather conditions were reflected at the beginning of flowering and vérasion, and also during the leaf removal treatments. The harvest time differed only by a few days in both years. Merlot was harvested three days earlier in 2016 (22 September) than in 2015 (25 September), probably due to the previously mentioned dry period in July, which affected the slightly earlier harvest. Syrah was harvested on the same day as Merlot in 2015 (25 September), but 8 days later than Merlot in 2016, on 30 September. Cabernet Sauvignon was harvested on 9 October in 2015, and on 13 October in 2016.

Experimental design

The experiment was a completely randomised block design with three treatments in three replications for each cultivar. Each replication consisted of 15 continuous plants, so there were 135 plants per cultivar and 405 plants in total. The cultivars were in the same vineyard, but one was next to the other, so the experiment was set up in the same way for different grapevine varieties. All treatments were repeated for two years in the same part of the vineyard.

The three treatments were: (i) leaf removal during flowering (full flowering, 50 % open flowers); (ii) leaf removal during vérasion (beginning of vérasion, 30 % of the berries are coloured), and (iii) control (C) - without leaf removal. In both leaf removal treatments, the basal leaves were removed up to the height of the last cluster on the shoot (4 to 6 leaves).

Vinification

Manually harvested grapes were destemmed and crushed separately for each variety and treatment and placed in an open plastic container (100 L) for maceration and fermentation. All vinifications were sulphited with 5 g K2S2O5 per 100 L and after a few hours, Saccharomyces cerevisiae yeast (ICV D254; Lallemand, Montreal, Canada) was inoculated at a concentration of 25 g/100 L. The pomace was stirred manually twice a day and the temperature was between 25 and 28 °C. After seven days of maceration and fermentation, the wine was racked and fermentation continued in glass containers. At the end of fermentation, the wine was additionally sulphited with 5 g K2S2O5 per 100 L, racked again and bottled in 0.75-litre bottles two months after the end of fermentation.

Must samples were collected immediately after primary processing, for analysis of total soluble solids, titratable acidity and pH. Total soluble solids in the must were measured using a handheld refractometer (RHB 32 ATC; PR China) (expressed in °Brix) and pH was determined with a pH meter (Lab 860; Schott Instruments; Mainz, Germany). The titratable acidity (g/L) was determined using the colouration pattern volumetric method according to the O.I.V. (24).

The wine was stored and matured under the cellar conditions for one year after bottling. Samples for analysis were taken at random in triplicate after bottling, i.e. after 0 months and after 6 and 12 months.

Analysis of phenolic content using HPLC-DAD

The concentration of anthocyanins and other phenolic compounds (phenolic acids, procyanidins, flavan-3-ols and flavonol glycosides) was determined in all wine samples using high-performance liquid chromatography (HPLC). The wine samples were filtered through 0.45-µm syringe filters (Macherey-Nagel GmbH & Co. KG, Duren, Germany) into glass vials and analysed using the HPLC Agilent Infinity 1260 system equipped with an Agilent 1260 photodiode array detector (PDA; Agilent, Santa Clara, CA, USA), an automatic injector and Chemstation software (v. C.01.03) for data processing and instrument control. Phenolic compounds were separated using Luna 100-5C18 column, 5 µm (250 mm×4.6 mm; Phenomenex, Aschaffenburg, Germany). The injection volume was 5 µL, and the solvent composition and gradient conditions were as previously described by Zorić et al. (25).

All anthocyanins were identified at λ=520 nm by comparing their retention times and absorption spectra with those of authentic standards. All identified compounds were quantified according to the calibration curves of standards. Standards of delphinidin-3-glucoside (Del-3-Glc), cyanidin 3-glucoside (Cy-3-Glc), petunidin-3-glucoside (Pet-3-Glc), peonidin-3-glucoside (Peo-3-Glc) and malvidin-3-glucoside (Mal-3-Glc) were prepared as stock solutions at a concentration of 100 mg/L in methanol acidified with φ(formic acid)=1 %. The stock solutions were diluted to obtain five concentrations between 20 and 100 mg/L.

Phenolic acids, procyanidins, flavan-3-ols and flavonol glycosides were identified by comparing the retention times and spectral data with those of authentic standards prepared in methanol, namely: chlorogenic acid, caffeic acid, p-coumaric acid, gallic acid, procyanidins B1 and B6, epigallocatechin gallate, catechin, quercetin-3-glucoside and kaempferol-3-rutinoside.

All results were expressed as mg/L in the form of mean value±standard deviation.

Statistical analysis

Statistica v. 14.0 software (26) was used for the statistical analysis. Descriptive statistics was used to assess the basic information about the experimental data set, and the data are presented as mean value±S.E. The normality and homoscedasticity of the data were analysed using the Shapiro-Wilk test and Levene’s test, respectively, and were evaluated accordingly by ANOVA coupled with the post hoc Tukey’s HSD test with multiple comparisons of mean ranks. A statistically significant difference at p≤0.05 was assigned for all tests.

RESULTS AND DISCUSSION

Basic chemical parameters of the must

The basic chemical parameters measured in the must of three grape varieties (total soluble solids, titratable acidity and pH) were mainly influenced by the experimental year, while there was no significant difference among varieties and leaf removal treatments (Table 1).

Soluble solids, titratable acidity and pH influenced by year, cultivar and leaf removal effect

Type of influence Soluble solid/°Brix Titratable acidity/(g/L) pH
Year p<0.001* p<0.001* p<0.001*
2015 (20.3±0.2)b (5.0±0.1)b (3.58±0.02)a
2016 (21.4±0.2)a (5.78±0.08)a (3.38±0.02)b
Cultivar p<0.001* p=0.288 p=0.476
Merlot (20.4±0.2)b (5.2±0.2)a (3.47±0.03)a
Syrah (20.7±0.2)b (5.4±0.1)a (3.47±0.04)a
Cabernet Sauvignon (21.5±0.4)a (5.56±0.05)a (3.51±0.02)a
Leaf removal effect p=0.387 p=0.942 p=0.621
Control (20.6±0.3)a (5.4±0.2)a (3.46±0.04)a
LRF (21.1±0.3)a (5.3±0.2)a (3.49±0.03)a
LRV (20.9±0.3)a (5.4±0.2)a (3.50±0.02)a

LRF=leaf removal during flowering, LRV=leaf removal during véraison. *Statistically significant variable at p≤0.05. Results are expressed as mean value±S.E. Values with different letters in superscript within a column are statistically different at p≤0.05

The two experimental years differed in the average temperature and precipitation during the vegetation period, with 2015 being 0.7 °C warmer and having about 125 mm less precipitation. Furthermore, the ripening period was on average 1.3 °C warmer in August 2015 than in 2016. Higher temperatures have an effect on increased cell respiration, which leads to malic acid breakdown (27) and a lower acidity. This was observed in the 2015 samples, which had lower acidity and, consequently, higher pH than the 2016 samples. A similar observation that experimental year has a significant effect on basic chemical parameters, compared to leaf removal treatments, was made by Mosetti et al. (28) in Sauvignon blanc and Anić et al. (29) in Merlot, although in some cases, a mild influence of leaf removal treatments on basic chemical parameters was observed (30, 31). The time of leaf removal also had no influence on the basic chemical parameters of the must samples. There is no difference between the treatments in titratable acidity and pH, which is consistent with other research (32, 33).

Defoliation treatments did not affect the increase in total soluble solids, regardless of when they were applied. These observations are consistent with other studies (29, 32, 33).

Effect of leaf removal on anthocyanin content in wine

Leaf removal treatments positively influenced the accumulation of anthocyanin in all three grapevine varieties, which was expected and is consistent with other research on different varieties (29, 34, 35). Similar results were obtained by other authors. For example, in the research on the Italian cultivar Nebbiolo, the concentration of individual anthocyanins and polyphenols depended on the year and climatic conditions. Nevertheless, the total concentration was consistently higher in defoliated samples than in the control (35). The effect of the leaf removal on the composition of individual anthocyanins in Merlot, Syrah and Cabernet Sauvignon wine is shown in Table 2. In all three grapevine varieties, malvidin-3-O-glucoside (Mal-3-Glc) was the most abundant anthocyanin, with concentration depended on the year and leaf removal treatment, which is consistent with the studies of Shi et al. (36). The second most abundant anthocyanin in all three varieties was malvidin-3-O-acetyl-glucoside (Mal-3-Ac-Glc).

The effect of leaf removal on the composition of anthocyanins in Merlot, Syrah and Cabernet Sauvignon wine shown as average values of three ageing periods

Wine Year γ/(mg/L)
Pet-3-Glc Peo-3-Glc Malv-3-Glc Pet-3-Coum-Glc Peo-3-Coum-Glc Mal-3-Ac-Glc Mal-3-Coum-Glc
Merlot 2015 Treatment
Control (1.9±0.5)c (0.8±0.2)a (35.9±5.4)b (0.5±0.1)a (0.97±0.06)b (13.3±2.2)b (6.9±1.3)c
LRF (2.9±0.9)a (0.8±0.2)a (45.1±11.9)a (0.7±0.3)a (1.5±0.1)a (16.9±4.9)a (9.2±3.0)a
LRV (2.4±0.7)b (0.8±0.2)a (42.1±8.5)a,b (0.6±0.2)a (1.5±0.1)a,b (16.3±3.6)a,b (8.2±2.1)b
Significance *** n.s. ** n.s. ** ** ***
2016 Control (2.1±0.2)c (1.3±0.5)a (39.3±5.4)c n.d. (0.62±0.2)a (12.1±2.4)c (7.0±1.3)c
LRF (2.9±0.1)b (1.7±0.6)a (52.5±4.1)b (0.4±0.2)a (0.61±0.2)a (15.3±2.2)b (10.1±1.0)a,b
LRV (4.2±0.2)a (1.9±0.6)a (63.8±4.3)a (0.5±0.3)a (0.8±0.2)a (21.8±2.5)a (11.4±0.9)a
Significance *** n.s. *** n.s. n.s. *** **
Syrah 2015 Treatment
Control (3.6±0.6)b (3.0±0.4)b (56.6±7.3)c (1.6±0.2)b (2.8±0.5)b (24.5±3.8)b (13.2±2.0)b
LRF (3.8±0.7)b (2.6±0.4)c (63.6±9.6)b (2.1±0.5)a (2.8±0.4)b (26.7±4.6)a,b (13.8±2.1)b
LRV (4.3±0.8)a (3.6±0.5)a (73.4±10.5)a (1.8±0.2)b (3.2±0.7)a (31.0±5.4)a (17.7±2.9)a
Signif. ** *** *** ** ** ** **
2016 Control (2.5±0.3)a,b (1.6±0.2)a,b (49.9±4.8)a,b n.d. (1.7±0.5)a,b (19.5±3.2)a,b (11.3±1.6)a,b
LRF (2.4±0.4)b (1.1±0.2)b (45.9±6.5)b n.d. (1.2±0.3)b (17.3±3.2)b (9.3±1.8)b
LRV (3.2±0.4)a (1.7±0.2)a (54.4±5.5)a n.d. (2.4±0.5)a (20.8±3.5)a (12.1±1.8)a
Significance ** ** ** - ** ** **
Cabernet Sauvignon 2015 Treatment
Control (1.8±0.5)a (0.3±0.1)a (59.5±10.7)a (0.8±0.2)b (0.9±0.2)a (26.6±5.0)a (5.2±1.2)a
LRF (1.8±0.5)a (0.4±0.6)a (54.4±9.7)a,b (1.16±0.05)a,b (1.0±0.1)a (23.7±4.1)a,b (3.8±0.9)b
LRV (1.6±0.4)b (0.5±0.4)a (47.5±6.6)b (1.3±0.1)a (0.83±0.08)a (20.07±3.06)b (4.5±0.8)a,b
Significance ** n.s. ** ** n.s. ** **
2016 Control (0.4±0.2)b (2.3±0.2)b (59.1±3.4)a,b n.d. (0.7±0.2)a (27.4±1.8)a (5.9±0.4)a
LRF (0.7±1.0)a (4.0±0.2)a (67.1±4.0)a n.d. (1.1±0.3)a (27.7±1.9)a (5.3±0.4)a
LRV (0.6±0.9)a (2.7±0.4)b (53.1±6.4)b n.d. (0.6±0.2)a (21.5±3.0)b (5.4±0.8)a
Significance ** ** ** - n.s. ** n.s.

Data were analysed using one-way ANOVA model and presented as mean value±S.D., N=9; ns, ** and *** indicate not significant, significant at p<0.01 and p>0.0001, respectively. LRF=leaf removal during flowering, LRV=leaf removal during véraison. Mean values with different letters in superscript are significantly different within treatment. Abbreviations: Pet-3-Glc=petunidin-3-O-glucoside, Peo-3-Glc=peonidin-3-O-glucoside, Malv-3-Glc=malvidin-3-O-glucoside, Pet-3-Coum-Glc=petunidin-3-O-(coumaroyl) glucoside, Peo-3-Coum-Glc=peonidin-3-O-(coumaroyl) glucoside, Mal-3-Ac-Glc=malvidin-3-O-(acetyl) glucoside, Mal-3-Coum-Glc=malvidin-3-O-(coumaroyl) glucoside

The influence of the time of defoliation on the concentration of total and individual anthocyanins depended on the variety and the year (Table S2, Table S3 and Table S4). Similar effects were observed on Merlot, Pinot noir and Gamay, where the experimental year had an important role in the success of the leaf removal treatments (32-37). In both years, there was a significant influence of defoliation treatment on the concentration of Pet-3-Glc, Malv-3-Glc, Peo-3-Coum-Glc, Mal-3-Ac-Glc and Mal-3-Coum-Glc in Merlot, while defoliation had no significant effect on the remaining individual anthocyanins. In contrast to Merlot, the defoliation treatments consistently increased the anthocyanin content of Syrah in both years, with defoliation during vérasion having the greatest effect. Unlike Merlot, the effect of defoliation did not vary significantly between years. In 2016, Pet-3-Coum-Glc was undetectable in all treatments. In Cabernet Sauvignon, the effect of leaf removal depended on the experimental year. Only defoliation during flowering in 2016 had a significant influence on the individual anthocyanin concentration in Cabernet Sauvignon wines, while the control wines had the highest anthocyanin content in 2015 (Table 2).

Regarding the time of leaf removal, different results have been reported. According to some studies, a higher concentration of anthocyanins was found after early leaf removal during flowering than after leaf removal during vérasion (11, 38), which is similar to our results in Merlot wines from 2015 and Cabernet Sauvignon wines from 2016 (Table 3 and Table 4). In contrast, Merlot from 2016 and Syrah from both years were found to have a significant influence on the increase in the concentration of total anthocyanins at defoliation during vérasion (Table 3 and Table 5). The highest concentration of total anthocyanins in Cabernet Sauvignon from 2015 was found in the control sample (Table 4).

The effect of leaf removal on the phenolic composition of Merlot wine

Year γ/(mg/L)
TA TPA TPro TFL-3-ols TFG
2015 Treatment
Control 64.23c 52.40c 85.95b 19.76c 26.15c
LRF 77.13a 61.29b 80.98c 22.31b 36.78a
LRV 71.87b 62.81a 95.45a 24.18a 33.54b
Significance *** *** *** *** ***
t/month
0 121.94a 58.75a 102.87a 25.06a 45.08a
6 64.59b 57.98a 86.27b 22.15b 31.32b
12 20.29c 59.05a 71.37c 18.46c 17.96c
Significance *** ns *** *** ***
T×P *** ns *** *** ***
2016 Treatment
Control 62.41c 65.47c 92.50c 26.28b 18.98c
LRF 83.48b 92.01a 93.57b 27.96a 30.99a
LRV 104.43a 83.28b 96.65a 24.61c 22.11b
Significance ** *** *** *** ***
t/month
0 114.31a 73.77c 117.88a 19.44c 23.19c
6 83.36b 75.26b 94.82b 27.61b 23.91b
12 52.65c 91.72a 70.02c 31.81a 24.98a
Significance ** *** *** *** ***
T×P ** *** *** *** ***

Data were analysed using two-way ANOVA model; ns, ** and *** indicate not significant, significant at p<0.01 and p>0.0001, respectively. t=ageing period. T×P=significance of the interaction of treatment × period of ageing. LRF=leaf removal during flowering, LRV=leaf removal during véraison. Mean values with different letters in superscript are significantly different within treatments and period of ageing. Abbreviations: TA=total anthocyanins, HPA=total phenolic acids, TPro=total procyanidins, TFL-3-ols=total flavan-3-ols, TFG=total flavonol glycosides

The effect of leaf removal on the phenolic composition of Cabernet Sauvignon wine

Year γ/(mg/L)
TA TPA TPro TFL-3-ols TFG
2015 Treatment
Control 95.12a 47.37b 54.44a 19.23 b 25.42a
LRF 86.22b 43.73c 44.71c 21.10a 22.84b
LRV 76.23c 53.42a 47.13b 19.34b 21.91c
Significance ** *** ** *** ***
t/month
0 138.55a 43.77c 54.09a 19.63b 32.71a
6 82.86b 49.81b 48.91b 19.46b 24.92b
12 36.16c 50.93a 43.28c 20.57a 12.55c
Significance ** *** ** *** ***
T×P ** *** ** *** ***
2016 Treatment
Control 95.75b 56.20b 39.09c 44.79b 11.30c
LRF 105.90a 74.18a 61.76a 45.67a 25.96a
LRV 83.95c 45.81c 40.44b 37.43c 17.88b
Significance ** ** ** ** **
t/month
0 124.72a 85.36a 51.60a 17.05c 22.55a
6 91.17b 33.14c 48.10b 52.09b 15.73c
12 69.71c 57.68b 41.59c 58.74a 16.87b
Significance ** ** ** ** **
T×P ** ** ** ** **

Data were analysed using two-way ANOVA model; ns, ** and *** indicate not significant, significant at p<0.01 and p>0.0001, respectively. t=ageing period. T×P=significance of the interaction of treatment × period of ageing. LRF=leaf removal during flowering, LRV=leaf removal during véraison. Mean values with different letters in superscript are significantly different within treatments and period of ageing. Abbreviations: TA=total anthocyanins, HPA=total phenolic acids, TPro=total procyanidins, TFL-3-ols=total flavan-3-ols, TFG=total flavonol glycosides

The effect of leaf removal on the phenolic composition of Syrah wine

Year γ/(mg/L)
TA TPA TPro TFL-3-ols TFG
2015 Treatment
Control 105.17c 97.53a 84.97a 73,67a 69.83b
LRF 115.25b 93.35b 79.41b 70.73b 82.92a
LRV 134.90a 83.27c 77.34c 67.06c 68.55c
Significance ** ** ** *** **
t/month
0 179.20a 84.56c 91.61a 61.07b 105.24a
6 120.67b 93.45b 84.84b 58.82c 73.83b
12 55.45c 96.14a 65.26c 91.55a 42.23c
Significance ** ** ** *** **
T×P ** ** ** *** **
2016 Treatment
Control 86.55c 90.71c 74.99a 27.45c 40.15c
LRF 77.07b 117.40a 56.81b 29.05b 61.16a
LRV 94.67a 91.19b 52.46c 31.48a 52.03b
Significance ** *** ** *** **
t/month
0 128.43a 87.83c 76.72a 33.21a 61.56a
6 80.25b 93.5b 59.49b 29.79b 51.77b
12 49.61c 117.97a 48.05c 24.99c 43.02c
Significance ** *** ** *** **
T×P ** *** ** *** **

Data were analysed using two-way ANOVA model; ns, ** and *** indicate not significant, significant at p<0.01 and p>0.0001, respectively. t=ageing period. T×P=significance of the interaction of treatment × period of ageing. LRF=leaf removal during flowering, LRV=leaf removal during véraison. Mean values with different letters in superscript are significantly different within treatments and period of ageing. Abbreviations: TA=total anthocyanins, HPA=total phenolic acids, TPro=total procyanidins, TFL-3-ols=total flavan-3-ols, TFG=total flavonol glycosides

The positive influence of early defoliation on anthocyanin concentration due to increased UV radiation was also recorded on the Merlot in the studies by Anić et al. (29). Due to the increasingly warmer years and the influence of high temperatures on anthocyanin degradation, late leaf removal at vérasion loses its advantages over early leaf removal during flowering. Comparing the effect of both defoliation treatments, Sternard Lemut et al. (39) measured a higher concentration of total anthocyanins in Pinot Noir when the leaves were removed early, in contrast to our results for Syrah from both years.

Anthocyanin content in wines during ageing

The wine ageing period had a significant effect on the reduction of the concentration of the individual anthocyanins in all three varieties analysed in both years (Table 6). Anthocyanin concentration decreased during wine ageing (Fig. 1), which is consistent with previous studies (40, 41). Although free anthocyanins are responsible for the red colour of young red wines, their concentration decreases significantly during wine ageing to as little as 0–50 mg/L, leading to a loss of colour in red wine (22).

Effect of ageing period shown as average values of three leaf removal treatments on the composition of anthocyanins in Merlot, Syrah and Cabernet Sauvignon wine

Wine Year t/month γ/(mg/L)
Pet-3-Glc Peo-3-Glc Malv-3-Glc Pet-3-Coum-Glc Peo-3-Coum-Glc Mal-3-Ac-Glc Mal-3-Coum-Glc
Merlot 2015 0 (4.7±0.5)a (1.42±0.07)a (71.235.8)a (1.3±0.1)a (1.7±0.1)a (28.4±2.4)a (15.8±1.4)a
6 (2.64±0.07)b (0.97±0.05)b (38.6±1.2)b (0.57±0.02)b (1.25±0.09)b (1376±0.6)b (6.9±0.4)b
12 (0.00±0.00)c (0.00±0.00)c (13.2±0.7)c (0.00±0.00)c (1.01±0.06)b (4.4±0.3)c (1.6±0.1)c
Significance *** *** *** *** ** *** ***
2016 0 (3.6±0.3)a (3.9±0.2)a (66.5±2.2)a (0.9±0.2)a (1.19±0.07)a (24.8±1.3)a (13.4±0.4)a
6 (3.2±0.3)a,b (1.0±0.1)b (53.6±4.8)a (0.00±0.00)b (0.87±0.06)b (15.6±1.8)b (9.0±0.9)b
12 (2.4±0.3)b (0.00±0.00)c (35.5±3.8)b (0.00±0.00)b (0.00±0.00)c (8.7±1.2)c (6.1±0.8)c
Significance ** *** ** ** *** *** ***
Syrah 2015 0 (6.0±0.2)a (4.4±0.2)a (94.5±4.3)a (3.0±0.2)a (4.9±0.2)a (44.1±1.9)a (22.3±4.3)a
6 (4.51±0.09)b (3.3±0.2)b (67.4±1.9)b (1.48±0.06)b (2.72±0.07)b (25.4±0.6)b (15.9±1.7)b
12 (1.18±0.04)c (1.5±0.1)c (31.6±1.3)c (0.96±0.04)b (1.2±0.1)c (12.6±0.4)c (6.4±1.0)c
Significance *** *** *** ** *** *** ***
2016 0 (4.0±0.2)a (2.0±0.1)a (69.6±1.2)a n.d. (3.3±0.3)a (32.0±0.6)a (17.5±0.4)a
6 (2.5±0.1)b (1.4±0.1)b (49.5±2.4)b n.d. (1.6±0.1)b (15.6±0.7)b (9.6±0.6)b
12 (1.61±0.09)c (0.92±0.08)c (31.1±1.2c n.d. (0.4±0.2)c (10.0±0.3)c (5.6±0.3)c
Significance *** *** *** - *** *** ***
Cabernet Sauvignon 2015 0 (3.3±0.1)a (0.95±0.06)a (85.5±4.4)a (1.43±0.06)a (1.33±0.05)a (38.1±2.1)a (8.0±0.5)a
6 (1.97±0.03)b (0.19±0.10)b (52.6±1.1)b (1.13±0.04)b (0.84±0.04)b (22.2±0.6)b (4.0±0.2)b
12 (0.00±0.00)c (0.00±0.00)b (23.4±0.1)c (0.7±0.1)c (0.50±0.03)c (10.2±0.2)c (1.45±0.09)c
Significance *** ** *** *** *** *** ***
2016 0 (1.6±0.1)a (4.1±0.2)a (76.4±1.5)a n.d. (1.5±0.2)a (33.5±0.3)a (7.5±0.3)a
6 (0.03±0.03)b (2.7±0.2)b (58-0±2.2)b n.d. (0.96±0.06)b (2498±1.2)b (4.6±0.1)b
12 (0.00±0.00)b (2.2±0.3)b (44.9±3.2)c n.d. (0.00±0.00)c (18.2±1.6)c (4.5±0.4)b
Significance ** ** *** - *** *** **

Data were analysed using one-way ANOVA model and presented as mean value±S.D., N=9; ns,** and *** indicate not significant, significant at p<0.01 and p>0.0001, respectively. LRF=leaf removal during flowering, LRV=leaf removal during véraison. Mean values with different letters in superscript are significantly different within treatment. Abbreviations: Pet-3-Glc=petunidin-3-O-glucoside, Peo-3-Glc=peonidin-3-O-glucoside, Malv-3-Glc=malvidin-3-O-glucoside, Pet-3-Coum-Glc=petunidin-3-O-(coumaroyl) glucoside, Peo-3-Coum-Glc=peonidin-3-O-(coumaroyl) glucoside, Mal-3-Ac-Glc=malvidin-3-O-(acetyl) glucoside, Mal-3-Coum-Glc=malvidin-3-O-(coumaroyl) glucoside

Effect of ageing and leaf removal treatment on anthocyanin content in: a) Merlot from 2015, b) Merlot from 2016, c) Syrah from 2015, d) Syrah from 2016, e) Cabernet Sauvignon from 2015 and f) Cabernet Sauvignon from 2016 wines. LRF=leaf removal during flowering, LRV=leaf removal during véraison


The decrease in the concentration of anthocyanins in wine is partly influenced by external factors (temperature, light and precipitation). Nevertheless, some of the anthocyanins decrease due to their instability and strong reactivity with other compounds. This refers primarily to reactions of anthocyanins with other anthocyanins and their co-pigmentation and to polymerisation reactions with flavan-3-ols and procyanidins, forming new pigments of proanthocyanins and polymeric anthocyanins that can stabilise the wine colour (19-21).

According to the available literature data, previous studies confirm a steady decrease in total anthocyanin content during bottle ageing for up to 42 months (42-45). Anthocyanin degradation during ageing was high in all three wine varieties, ranging from 36 to 90 %, depending on the year and treatment. In 2016, the degradation of anthocyanins ranged from 36 to 70 %, while in 2015, the degradation was 65 to as high as 90 %, depending on the variety (Fig. 1). The highest degradation of anthocyanins was observed in Merlot wine from 2015 in the treatment of defoliation during flowering, and increased to a high 90 % after 12 months of ageing.

Anthocyanin concentration in Merlot decreased during ageing, with Pet-3-Glc, Pet-3-Coum-Glc and peonidin-3-O-coumaroyl-glucoside (Peo-3-Coum-Glc) being the most unstable. Peo-3-Glc and Pet-3-Coum-Glc were no longer detectable in any treatment after 12 months. However, the wine from the 2016 obtained after leaf removal during vérasion retained the highest total anthocyanin concentration after ageing, even though some of the individual compounds could not be detected, i.e. were degraded in the wines after 12 months of storage or were present in very low concentrations (Table S2).

In Syrah, the leaf removal during vérasion had the most significant positive influence on the anthocyanin content in both years (Table 5). Pet-3-Coum-Glc was undetectable in all treatments in 2016. The anthocyanin stability in the wine varied depending on the year and treatment. The treatment with the most stable anthocyanins in the wine after 12 months of ageing seems to be the 2015 control. In 2016, the control and the samples with the leaves removed during vérasion had the same effect on the stability of anthocyanins in the wine (Fig. 1 and Table S3).

The effect of ageing on the anthocyanin concentration in Cabernet Sauvignon wine is shown in Table 6. In 2015, all varieties had a significant loss of anthocyanins during ageing, while in 2016, the stability of anthocyanins in the stored wines was similar in the control and the samples defoliated during flowering. As with Syrah, Pet-3-Coum-Glc was undetectable in the samples from 2016, and Pet-3-Glc was the most unstable anthocyanin in the wine and disappeared from all wines after 12 months (Fig. 1 and Table S4).

Only in Merlot from 2016 and Cabernet Sauvignon from 2015 did the removal of leaves had a positive effect on the stability of anthocyanins. The degradation of anthocyanins in the samples defoliated during vérasion and during flowering was lower than in the control. A lower percentage of degradation was observed in the samples defoliated during vérasion.

Although there are significant differences between the anthocyanin contents in the wines after 12 months of ageing (Table 6), they cannot be related to the influence of the leaf removal treatments, regardless of their effect on the increase in anthocyanin concentration in young wines. This can be explained by the fact that the stability of anthocyanins in wine is influenced by a number of factors, such as wine storage conditions and cultivars, but also by the different reactions that anthocyanins undergo during wine ageing (40).

Furthermore, the degradation of anthocyanins seems to have been lower in the colder year 2016 than in the warmer year 2015. This could be explained by the differences in the basic chemical parameters, i.e. pH differences, since the stability and colour of red wines are strongly influenced by pH and the amount of free sulphur dioxide (20). The red colour of the wine comes mainly from the anthocyanins, which are in the flavylium state and whose concentration depends on the pH and the free sulphur dioxide. At a low pH, the concentration of the flavylium state increases, the hydrolysis of anthocyanins slows down and the colour is more intense, while with an increase in pH, the colour intensity and the concentration of anthocyanins in the flavylium state decrease significantly (20). The grapevine variety significantly influenced the total anthocyanin content in the wine. Syrah wine had the highest anthocyanin content compared to Merlot and Cabernet Sauvignon wines (Table 7).

Total anthocyanin concentration in the wine after fermentation influenced by cultivar and year

Source of variation γ(total anthocyanin)/(mg/L)
Cultivar p<0.001*
Merlot (119.4±5.7)b
Syrah (153.8±7.4)a
Cabernet Sauvignon (131.6±3.9)a,b
Year p<0.001*
2015 (147.40±6.6)a
2016 (122.5±2.1)b

*Statistically significant variable at p≤0.05. Results are expressed as mean value±S.E., Values with different letters in superscript are statistically different at p≤0.05

Similar results were obtained with Merlot, Syrah, Cabernet Sauvignon and Marselan in the study by Shi et al. (36). Differences in the anthocyanin content are cultivar-specific. However, the accumulation of anthocyanins in grapes is influenced by other factors, such as agroecological conditions, climate, soil conditions, canopy management and irrigation, agrotechnical practices and yield (2, 46). A significantly higher concentration of total anthocyanins was found in the drier and warmer year 2015 than in 2016 (Table 7), which is in contrast to previous results (7, 29), which confirm that increased solar radiation and temperature in the fruit zone reduce anthocyanin accumulation in the berry skin.

Effects of leaf removal on other phenolic compounds in wines

Considering that anthocyanins react with other phenolic compounds in polymerisation reactions during wine ageing, other groups of phenolic compounds were analysed in all wines. In both analysed years, both leaf removal treatments increased the concentrations of total phenolic acids (TPA), total procyanidins (TPro), total flavan-3-ols (TFL-3-ols) and total flavonol glycosides (TFG) in Merlot wines compared to the control (Table 3). At the same time, such an effect was not observed in Cabernet Sauvignon and Syrah wines (Table 4 and Table 5).

This result could be a consequence of cultivar characteristics and canopy porosity, which has already been suggested by Tardaguila et al. (14). Differences were observed in the influence of the time of the leaf removal treatment, so earlier leaf removal during flowering affected the increase of TFG in Merlot and Syrah in both years, which is consistent with other studies (29, 32). Defoliation increases sun exposure and UV radiation in the grape zone. Flavonols protect plants from excessive UV radiation, and their accumulation is strongly influenced by environmental conditions (6, 47). Together with anthocyanins in co-pigmentation processes, flavonols form more complex compounds that affect colour stability and wine quality (48). Leaf removal during vérasion led to an increase in TFL-3-ol also in Merlot and Syrah wines in 2015 and 2016, which is in contrast to the results reported by Osrečak et al. (33). The end of the synthesis of flavan-3-ols in berry skin is around vérasion, so it is considered that the practice of late defoliation cannot be reflected in their concentration.

Differences in the results also exist between the two years of study, which can be related to the different meteorological and microclimatic conditions in the two vegetation seasons. Other authors also confirmed this and stated that the vintage year effect plays an important role in the successful implementation of the treatment (37).

Other phenolic compounds during wine ageing

The concentration of TPA increased during wine ageing in all treatments in Syrah wines in both years (Table 5) and also in Merlot and Cabernet wines in 2015 (Table 3 and Table 4), which is consistent with previous results (40, 49). The highest concentration of phenolic acids was found in the Syrah wine from 2016 and the lowest in the Cabernet Sauvignon wine from 2015. The TPro concentration in all wines decreased during ageing, except for the Cabernet control wine from 2016, and their degradation ranged from 5 to 42 %, depending on variety, year and treatment (Table S5).

The concentration of TFL-3-ols and TFG increased in some varieties, while it decreased in others during ageing. The highest concentration of TFL-3-ols was measured in Syrah wine samples defoliated during vérasion in 2015, while the highest degradation of TFL-3-ols was 33 % in Syrah samples defoliated during vérasion in 2016 and Merlot samples defoliated during flowering in 2015 (Table S5). The concentration of TFG decreased in all wines except Merlot from 2016. The lowest percentage of degradation was found in Cabernet Sauvignon wine samples defoliated during flowering in 2016, and the highest was over 70 % in Syrah samples defoliated during vérasion in 2015. The percentage of degradation of TFL-3-ols during ageing was largely influenced by the grape variety (46).

The interaction between the leaf removal treatment and wine ageing had a significant effect on the concentration of phenolic compounds in all three wines (Table 3, Table 4 and Table 5).

CONCLUSIONS

The applied leaf removal treatments increased the concentration of anthocyanins in all three cultivars in both years, while the influence of leaf removal on the concentration of phenolic acids, procyanidins, flavan-3-ols and flavonol glycosides depended on cultivar and year. Leaf removal treatments had the most significant effect on the increase in the concentration of total anthocyanins in Syrah wine in both years, especially the leaf removal during véraison.

Leaf removal remains an important viticultural practice for red grapevine and wine production. Although leaf removal significantly affected the initial concentration of anthocyanins in wine, this treatment did not affect the stability of anthocyanins in the wine during ageing. Anthocyanin concentration decreases with ageing and their stability in wine was most strongly affected by ageing period and grapevine variety. Although the highest concentration of anthocyanins was found in Syrah wine, this did not affect their stability during wine ageing. Future studies should focus on how to preserve higher concentrations of anthocyanins obtained by leaf removal treatments in red wines during ageing.

ACKNOWLEDGEMENTS

SUPPLEMENTARY MATERIALS

All supplementary materials are available at: www.ftb.com.hr.

AUTHORS' CONTRIBUTION

M. Pavlović was in charge of the conceptualisation of the work, experimental investigation, data analysis, writing and drafting of the article. Z. Zorić participated in the formal analysis, data analysis, writing, editing and final approval of the manuscript. Š. Marcelić was involved in the investigation and data analysis of the obtained results. M. Repajić contributed to the review of the statistical methods. I. Šikuten participated in the review and editing. D. Preiner was involved in writing and editing. All authors have read and approved the final version of the manuscript.

REFERENCES
  1. He F, Liang N, Mu L, Pan Q, Wang J, Reeves M. Anthocyanins and their variation in red wines I. Monomeric anthocyanins and their color expression. Molecules. 2012;17(2):1571-601, https://doi.org/10.3390/molecules17021571, PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24377856/22314380
  2. He F, Mu L, Yan G, Liang N, Pan Q, Wang J. Biosynthesis of anthocyanins and their regulation in colored grapes. Molecules. 2010;15(12):9057-91, https://doi.org/10.3390/molecules15129057, PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24377856/21150825
  3. Ryan J, Revilla E. Anthocyanin composition of Cabernet Sauvignon and Tempranillo grapes at different stages of ripening. J Agric Food Chem. 2003;51(11):3372-8, https://doi.org/10.1021/jf020849u, PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24377856/12744669
  4. Kennedy J, Matthews M, Waterhouse A. Effect of maturity and vine water status on grape skin and wine flavonoids. Am J Enol Vitic. 2002;53(4):268-74, https://doi.org/10.5344/ajev.2002.53.4.268
  5. Owens CL. Pigments in Grape. In: Chen C, editor. Pigments in fruits and vegetables. Genomics and dietetics. New York City, NY, USA: Springer; 2015. pp. 189-204. 10.1007/978-1-4939-2356-4_9, https://doi.org/10.1007/978-1-4939-2356-4_9
  6. Spayd S, Tarara J, Mee D, Ferguson J. Separation of sunlight and temperature effects on the composition of Vitis vinifera cv. Merlot berries. Am J Enol Vitic. 2002;53(3):171-82, https://doi.org/10.5344/ajev.2002.53.3.171
  7. Tarara J, Lee J, Spayd S, Scagel C. Berry temperature and solar radiation alter acylation, proportion, and concentration of anthocyanin in Merlot grapes. Am J Enol Vitic. 2008;59(3):235-47, https://doi.org/10.5344/ajev.2008.59.3.235
  8. Haselgrove L, Botting D, van Heeswijck R, Høj P, Dry P, Ford C. Canopy microclimate and berry composition: The effect of bunch exposure on the phenolic composition of Vitis vinifera L cv. Shiraz grape berries. Aust J Grape Wine Res. 2000;6(2):141-9, https://doi.org/10.1111/j.1755-0238.2000.tb00173.x
  9. Bergqvist J, Dokoozlian N, Ebisuda N. Sunlight exposure and temperature effects on berry growth and composition of Cabernet Sauvignon and Grenache in the central San Joaquin Valley of California. Am J Enol Vitic. 2001;52(1):1-7, https://doi.org/10.5344/ajev.2001.52.1.1
  10. Mori K, Goto-Yamamoto N, Kitayama M, Hashizume K. Effect of high temperature on anthocyanin composition and transcription of flavonoid hydroxylase genes in ‘Pinot noir’ grapes (Vitis vinifera). J Hortic Sci Biotechnol. 2007;82(2):199-206, https://doi.org/10.1080/14620316.2007.11512220
  11. Pastore C, Zenoni S, Fasoli M, Pezzotti M, Tornielli G, Filippetti I. Selective defoliation affects plant growth, fruit transcriptional ripening program and flavonoid metabolism in grapevine. BMC Plant Biol. 2013;13:30, https://doi.org/10.1186/1471-2229-13-30, PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24377856/23433030
  12. Diago M, Ayestarán B, Guadalupe Z, Poni S, Tardáguila J. Impact of prebloom and fruit set basal leaf removal on the flavonol and anthocyanin composition of Tempranillo grapes. Am J Enol Vitic. 2012;63(3):367-76, https://doi.org/10.5344/ajev.2012.11116
  13. Price S, Breen P, Valladao M, Watson B. Cluster sun exposure and quercetin in Pinot noir grapes and wine. Am J Enol Vitic. 1995;46(2):187-94, https://doi.org/10.5344/ajev.1995.46.2.187
  14. Tardaguila J, de Toda F, Poni S, Diago M. Impact of early leaf removal on yield and fruit and wine composition of Vitis vinifera L. Graciano and Carignan. Am J Enol Vitic. 2010;61(3):372-81, https://doi.org/10.5344/ajev.2010.61.3.372
  15. Poni S, Bernizzoni F, Civardi S, Libelli N. Effects of pre-bloom leaf removal on growth of berry tissues and must composition in two red Vitis vinifera L. cultivars. Aust J Grape Wine Res. 2009;15(2):185-93, https://doi.org/10.1111/j.1755-0238.2008.00044.x
  16. Di Profio F, Reynolds A, Kasimos A. Canopy management and enzyme impacts on Merlot, Cabernet franc, and Cabernet Sauvignon. II. Wine composition and quality. Am J Enol Vitic. 2011;62(2):152-68, https://doi.org/10.5344/ajev.2010.10035
  17. Palliotti A, Panara F, Silvestroni O, Lanari V, Sabbatini P, Howell G. Influence of mechanical postveraison leaf removal apical to the cluster zone on delay of fruit ripening in Sangiovese (Vitis vinifera L.) grapevines. Aust J Grape Wine Res. 2013;19(3):369-77, https://doi.org/10.1111/ajgw.12033
  18. Enaru B, Drețcanu G, Pop T, Stǎnilǎ A, Diaconeasa Z. Anthocyanins: Factors affecting their stability and degradation. Antioxidants. 2021;10(12):1967, https://doi.org/10.3390/antiox10121967, PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24377856/34943070
  19. Boulton R. The copigmentation of anthocyanins and its role in the color of red wine: A critical review. Am J Enol Vitic. 2001;52(2):67-87, https://doi.org/10.5344/ajev.2001.52.2.67
  20. Jackson RS. Wine science. Principle and applications. Cambridge, MA, USA: Academic Press; 2008. 10.1016/B978-0-12-373646-8.X5001-X, https://doi.org/10.1016/B978-0-12-373646-8.X5001-X
  21. Boss PK, Davies C. Molecular biology of anthocyanin accumulation in grape berries. In: Roubelakis-Angelakis KA, editor. Grapevine molecular physiology & biotechnology. Dordrecht, The Netherlands: Springer; 2009. pp. 263-92. 10.1007/978-90-481-2305-6_10, https://doi.org/10.1007/978-90-481-2305-6_10
  22. Ribéreau-Gayon P, Glories Y, Maujean A, Dubourdieu D. Handbook of enology: The chemistry of wine stabilization and treatments. London, UK: John Wiley & Sons; 2006. 10.1002/0470010398, https://doi.org/10.1002/0470010398
  23. Coombe B. Growth stages of the grapevine: Adoption of a system for identifying grapevine growth stages. Aust J Grape Wine Res. 1995;1(2):104-10, https://doi.org/10.1111/j.1755-0238.1995.tb00086.x
  24. Compendium of international methods of wine and musts analysis. Paris, France. International Organisation of Vine and Wine (OIV); 2014. Available from: https://www.oiv.int/public/medias/7907/oiv-vol1-compendium-of-international-methods-of-analysis.pdf
  25. Zorić Z, Dragović-Uzelac V, Pedisić S, Kurtanjek Ž, Garofulić I. Kinetics of the degradation of anthocyanins, phenolic acids and flavonols during heat treatments of freeze-dried sour cherry Marasca paste. Food Technol Biotechnol. 2014;52(1):101-8
  26. Statistica TIBCO. v. 14.0.0, TIBCO Software Inc, Palo Alto, CA, USA; 2020. Available from: https://docs.tibco.com/products/tibco-statistica-14-0-0.
  27. Rienth M, Torregrosa L, Sarah G, Ardisson M, Brillouet J, Romieu C. Temperature desynchronizes sugar and organic acid metabolism in ripening grapevine fruits and remodels their transcriptome. BMC Plant Biol. 2016;16:164, https://doi.org/10.1186/s12870-016-0850-0, PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24377856/27439426
  28. Mosetti D, Herrera J, Sabbatini P, Green A, Alberti G, Peterlunger E. Impact of leaf removal after berry set on fruit composition and bunch rot in ‘Sauvignon blanc’. Vitis. 2016;55(2):57-64, https://doi.org/10.5073/vitis.2016.55.57-64
  29. Anić M, Osrečak M, Andabaka Ž, Tomaz I, Večenaj Ž, Jelić D. The effect of leaf removal on canopy microclimate, vine performance and grape phenolic composition of Merlot (Vitis vinifera L.) grapes in the continental part of Croatia. Sci Hortic. 2021;285, https://doi.org/10.1016/j.scienta.2021.110161
  30. Bubola M, Lukić I, Radeka S, Sivilotti P, Grozić K, Vanzo A. Enhancement of Istrian Malvasia wine aroma and hydroxycinnamate composition by hand and mechanical leaf removal. J Sci Food Agric. 2019;99(2):904-14, https://doi.org/10.1002/jsfa.9262, PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24377856/30009493
  31. Bubola M, Rusjan D, Lukić I. Crop level vs. leaf removal: Effects on Istrian Malvasia wine aroma and phenolic acids composition. Food Chem. 2020;312, https://doi.org/10.1016/j.foodchem.2019.126046, PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24377856/31911354
  32. Feng H, Yuan F, Skinkis P, Qian M. Influence of cluster zone leaf removal on Pinot noir grape chemical and volatile composition. Food Chem. 2015;173:414-23, https://doi.org/10.1016/j.foodchem.2014.09.149, PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24377856/25466040
  33. Osrečak M, Karoglan M, Kozina B. Influence of leaf removal and reflective mulch on phenolic composition and antioxidant activity of Merlot, Teran and Plavac mali wines (Vitis vinifera L.). Sci Hortic. 2016;209:261-9, https://doi.org/10.1016/j.scienta.2016.07.005
  34. Yue X, Zhao Y, Ma X, Jiao X, Fang Y, Zhang Z. Effects of leaf removal on the accumulation of anthocyanins and the expression of anthocyanin biosynthetic genes in Cabernet Sauvignon (Vitis vinifera L.) grapes. J Sci Food Agric. 2021;101(8):3214-24, https://doi.org/10.1002/jsfa.10951, PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24377856/33211320
  35. Tarricone L, Faccia M, Masi G, Gambacorta G. The impact of early basal leaf removal at different sides of the canopy on Aglianico grape quality. Agriculture. 2020;10(12):630, https://doi.org/10.3390/agriculture10120630
  36. Shi P, Yue T, Ai L, Cheng Y, Meng J, Li M. Phenolic compound profiles in grape skins of Cabernet Sauvignon, Merlot, Syrah and Marselan cultivated in the Shacheng area (China). S Afr J Enol Vitic. 2016;37(2):132-8, https://doi.org/10.21548/37-2-898
  37. Verdenal T, Zufferey V, Dienes-Nagy A, Bourdin G, Gindro K, Viret O. Timing and intensity of grapevine defoliation: An extensive overview on five cultivars in Switzerland. Am J Enol Vitic. 2019;70(4):427-34, https://doi.org/10.5344/ajev.2019.19002
  38. Bubola M, Sivilotti P, Janjanin D, Poni S. Early leaf removal has a larger effect than cluster thinning on grape phenolic composition in cv. Teran. Am J Enol Vitic. 2017;68(2):234-42, https://doi.org/10.5344/ajev.2016.16071
  39. Sternad Lemut M, Trost K, Sivilotti P, Arapitsas P, Vrhovsek U. Early versus late leaf removal strategies for Pinot Noir (Vitis vinifera L.): Effect on colour-related phenolics in young wines following alcoholic fermentation. J Sci Food Agric. 2013;93(15):3670-81, https://doi.org/10.1002/jsfa.6193, PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24377856/23765518
  40. Stavridou K, Soufleros E, Bouloumpasi E, Dagkli V. The phenolic potential of wines from French grape varieties Cabernet Sauvignon, Merlot and Syrah cultivated in the region of Thessaloniki (Northern Greece) and its evolution during aging. Food Nutr Sci. 2016;7(2):122-37, https://doi.org/10.4236/fns.2016.72014
  41. Aleixandre-Tudo J, du Toit W. Evolution of phenolic composition during barrel and bottle aging. S Afr J Enol Vitic. 2020;41(2):233-7, https://doi.org/10.21548/41-2-4128
  42. Kwiatkowski M, Skouroumounis G, Lattey K, Waters E. The impact of closures, including screw cap with three different headspace volumes, on the composition, colour and sensory properties of a Cabernet Sauvignon wine during two years’ storage. Aust J Grape Wine Res. 2007;13(2):81-94, https://doi.org/10.1111/j.1755-0238.2007.tb00238.x
  43. Darias-Martín J, Carrillo-López M, Echavarri-Granado J, Díaz-Romero C. The magnitude of copigmentation in the colour of aged red wines made in the Canary Islands. Eur Food Res Technol. 2007;224(5):643-8, https://doi.org/10.1007/s00217-006-0352-7
  44. Gambuti A, Rinaldi A, Ugliano M, Moio L. Evolution of phenolic compounds and astringency during aging of red wine: Effect of oxygen exposure before and after bottling. J Agric Food Chem. 2013;61(8):1618-27, https://doi.org/10.1021/jf302822b, PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24377856/23110349
  45. McRae J, Dambergs R, Kassara S, Parker M, Jeffery D, Herderich M. Phenolic compositions of 50 and 30 year sequences of Australian red wines: The impact of wine age. J Agric Food Chem. 2012;60(40):10093-102, https://doi.org/10.1021/jf301571q, PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24377856/22967212
  46. Harner A, Smith M, Keller S, Hopfer H, Centinari M. Identifying an early leaf removal treshold for Grüner Veltliner, a high-yielding, high-vigor cultivar. Am J Enol Vitic. 2024;75(1), https://doi.org/10.5344/ajev.2024.23021
  47. Blancquaert E, Oberholster A, Ricardo-da-Silva J, Deloire A. Grape flavonoid evolution and composition under altered light and temperature conditions in Cabernet Sauvignon (Vitis vinifera L.). Front Plant Sci.. 2019;10:1062, https://doi.org/10.3389/fpls.2019.01062, PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24377856/31798597
  48. Downey M, Harvey J, Robinson S. Synthesis of flavonols and expression of flavonol synthase genes in the developing grape berries of Shiraz and Chardonnay (Vitis vinifera L.). Aust J Grape Wine Res. 2003;9(2):110-21, https://doi.org/10.1111/j.1755-0238.2003.tb00261.x
  49. Monagas M, Gómez-Cordovés C, Bartolomé B. Evolution of the phenolic content of red wines from Vitis vinifera L. during ageing in bottle. Food Chem. 2006;95(3):405-12, https://doi.org/10.1016/j.foodchem.2005.01.004

Weather conditions during vegetation period (April-September) in 2015 and 2016 (Weather station Benkovac)

Month Average temperature/°C Precipitation/mm
2015 2016 2015 2016
April 12.0 13.8 30.0 53.4
May 18.0 16.1 89.3 93.2
June 22.3 20.8 16.5 141.3
July 26.5 25.2 34.3 1.2
August 24.8 23.4 76.2 57.5
September 19.6 19.6 75.1 99.7
Mean temperature 20.5 19.8
Cumulative precipitation 321.4 446.2

Concentration of anthocyanins in Merlot wine obtained from the grapes from which leaves were removed during flowering (LRF) and during vérasion (LRV) after different ageing period (bottling, 6 and 12 months) in 2015 and 2016

Year Treatment month γ/(mg/L)
t/ Pet-3-Glc Peo-3-Glc Malv-3-Glc Pet-3-Coum-Glc Peo-3-Coum-Glc Mal-3-Ac-Glc Mal-3-Coum-Glc Total
2015 Control 0 3.1±0.1 1.18±0.02 50.14±0.04 0.77±0.04 1.19±0.04 19.3±0.1 10.75±0.07 86.4±0.4
6 2.87±0.04 1.15±0.03 42.75±0.06 0.62±0.03 0.92±0.09 15.73±0.06 8.17±0.02 72.2±0.3
12 n.d. n.d. 14.74±0.09 n.d. 0.78±0.04 4.98±0.07 1.88±0.04 22.4±0.2
LRF 0 6.27±0.03 1.66±0.05 90.55±0.07 1.73±0.05 1.96±0.07 36.04±0.09 20.77±0.05 159.0±0.2
6 2.39±0.05 0.78±0.05 34.2±0.2 0.51±0.06 1.35±0.07 11.3±0.1 5.74±0.07 56.2±0.3
12 n.d. n.d. 10.5±0.2 n.d. 1.19±0.03 3.29±0.05 1.19±0.03 16.2±0.1
LRV 0 4.67±0.2 1.4±0.2 73.0±0.2 1.3±0.2 1.8±0.2 29.8±0.2 15.9±0.2 128.0±0.2
6 2.63±0.05 0.96±0.05 38.9±0.1 0.60±0.03 1.48±0.02 14.0±0.1 6.82±0.04 65.3±0.3
12 n.d. n.d. 14.40±0.04 n.d. 1.07±0.05 5.0±0.1 1.8±0.1 22.29±0.06
2016 Control 0 3.0±0.2 3.22±0.08 58.7±0.3 n.d. 1.20±0.06 21.46±0.07 11.77±0.03 99.7±0.7
6 2.16±0.06 0.67±0.08 37.6±0.2 n.d. 0.67±0.06 10.0±0.2 6.0±0.1 57.1±0.7
12 1.21±0.04 n.d. 21.58±0.06 n.d. n.d. 4.9±0.1 3.1±0.1 30.8±0.3
LRF 0 3.2±0.1 4.16±0.08 66.6±0.1 1.18±0.05 1.0±0.1 23.2±0.2 14.04±0.06 113.4±0.5
6 3.07±0.09 0.95±0.07 52.86±0.09 n.d. 0.87±0.08 14.2±0.03 9.2±0.1 81.2±0.5
12 2.45±0.07 n.d. 38.0±0.1 n.d. n.d. 8.4±0.1 7.0±0.1 55.9±0.2
LRV 0 4.76±0.07 4.33±0.05 74.1±0.1 1.53±0.08 1.41±0.06 29.9±0.2 14.25±0.04 130.2±0.4
6 4.31±0.04 1.46±0.06 70.46±0.07 n.d. 1.09±0.06 22.54±0.06 12.0±0.1 111.8±0.3
12 3.47±0.06 n.d. 46.85±0.06 n.d. n.d. 12.86±0.06 8.08±0.09 71.3±0.1

Results are expressed as mean value±S.D. (N=3); n.d.=not detected. Abbreviations: Pet-3-Glc=petunidin-3-O-glucoside, Peo-3-Glc=peonidin-3-O-glucoside, Malv-3-Glc=malvidin-3-O-glucoside, Pet-3-Coum-Glc=petunidin-3-O-(coumaroyl) glucoside, Peo-3-Coum-Glc=peonidin-3-O-(coumaroyl) glucoside, Mal-3-Ac-Glc=malvidin-3-O-(acetyl) glucoside, Mal-3-Coum-Glc=malvidin-3-O-(coumaroyl)

Concentration of anthocyanins in Syrah wine obtained from the grapes from which leaves were removed during flowering (LRF) and during vérasion (LRV) at different ageing period (bottling, 6 and 12 months) in 2015 and 2016

Year Treatment t/month γ/(mg/L)
Pet-3-Glc Peo-3-Glc Malv-3-Glc Pet-3-Coum-Glc Peo-3-Coum-Glc Mal-3-Ac-Glc Mal-3-Coum-Glc Total
2015 Control 0 5.38±0.05 4.16±0.06 79.7±0.4 2.52±0.03 4.56±0.03 38.2±0.1 19.70±0.02 154.3±0.5
6 4.2±0.1 3.37±0.03 60.5±0.2 1.32±0.02 2.67±0.06 23.01±0.05 13.66±0.03 108.8±0.2
12 1.21±0.03 1.59±0.04 29.5±0.6 0.84±0.04 1.01±0.06 12.20±0.02 6.1±0.1 52.5±0.6
LRF 0 5.72±0.04 3.90±0.04 94.1±0.4 3.94±0.09 4.35±0.05 42.94±0.08 19.20±0.07 174.2±0.3
6 4.57±0.07 2.70±0.02 68.1±0.2 1.41±0.02 2.52±0.08 25.57±0.08 16.77±0.08 121.65±0.08
12 1.07±0.08 1.18±0.02 28.4±0.4 0.91±0.02 1.59±0.06 11.48±0.04 5.30±0.05 50.0±0.4
LRV 0 6.95±0.08 5.27±0.04 109.7±0.4 2.41±0.02 5.7±0.1 51.16±0.06 27.9±0.1 209.2±0.7
6 4.76±0.07 3.69±0.04 73.6±0.5 1.7±0.1 2.99±0.05 27.4±0.1 17.38±0.04 131.6±0.6
12 1.3±0.1 1.86±0.04 36.7±0.4 1.12±0.06 1.02±0.03 14.27±0.06 7.66±0.05 63.9±0.4
2016 Control 0 3.41±0.06 2.0±0.1 65.2±0.3 n.d. 3.42±0.06 31.76±0.08 17.26±0.04 123.2±0.3
6 2.63±0.07 1.64±0.06 52.4±0.5 n.d. 1.80±0.02 16.54±0.05 10.68±0.02 85.7±0.7
12 1.55±0.07 1.1±0.2 32.0±0.6 n.d. n.d. 10.16±0.08 6.1±0.1 50.8±0.8
LRF 0 3.74±0.04 1.7±0.2 70.8±0.2 n.d. 2.35±0.09 30.04±0.06 16.48±0.03 125.1±0.4
6 2.08±0.08 0.95±0.09 40.0±0.4 n.d. 1.10±0.08 12.8±0.1 7.04±0.06 64.0±0.4
12 1.34±0.06 0.64±0.07 26.8±0.2 n.d. n.d. 8.97±0.07 4.38±0.04 42.2±0.2
LRV 0 4.79±0.02 2.41±0.04 72.6±0.4 n.d. 4.20±0.05 34.15±0.06 18.85±0.04 137.0±0.4
6 2.91±0.04 1.66±0.06 56.0±0.1 n.d. 1.87±0.03 17.47±0.05 11.14±0.08 91.1±0.2
12 1.93±0.09 1.06±0.09 34.6±0.5 n.d. 1.07±0.06 10.75±0.05 6.40±0.05 55.8±0.6

Results are expressed as mean value±S.D. (N=3); n.d.=not detected. Abbreviations: Pet-3-Glc=petunidin-3-O-glucoside, Peo-3-Glc=peonidin-3-O-glucoside, Malv-3-Glc=malvidin-3-O-glucoside, Pet-3-Coum-Glc=petunidin-3-O-(coumaroyl) glucoside, Peo-3-Coum-Glc=peonidin-3-O-(coumaroyl) glucoside, Mal-3-Ac-Glc=malvidin-3-O-(acetyl) glucoside, Mal-3-Coum-Glc=malvidin-3-O-(coumaroyl)

Concentration of anthocyanins in Cabernet Sauvignon wine obtained from the grapes from which leaves were removed during flowering (LRF) and vérasion (LRV) at ageing period (bottling, 6 and 12 months) for 2015 and 2016

Year Treatment t/month γ/(mg/L)
Pet-3-Glc Peo-3-Glc Malv-3-Glc Pet-3-Coum-Glc Peo-3-Coum-Glc Mal-3-Ac-Glc Mal-3-Coum-Glc Total
2015 Control 0 3.57±0.04 0.82±0.04 97.9±0.3 1.29±0.05 1.46±0.05 45.1±0.2 9.84±0.07 160.0±0.2
6 2.0±0.1 n.d. 56.9±0.1 1.02±0.07 0.76±0.07 23.9±0.2 4.2±0.2 88.7±0.2
12 n.d. n.d. 23.76±0.04 0.12±0.02 0.38±0.03 10.82±0.3 1.5±0.1 36.6±0.3
LRF 0 3.5±0.2 1.2±0.1 89.8±0.5 1.32±0.03 1.40±0.02 38.5±0.3 7.06±0.09 142.7±0.8
6 1.97±0.08 n.d. 50.5±0.2 1.14±0.01 0.97±0.08 22.68±0.08 3.2±0.1 80.6±0.3
12 n.d. n.d. 22.83±0.06 1.02±0.04 0.53±0.04 10.1±0.2 1.13±0.06 35.6±0.2
LRV 0 2.77±0.04 0.87±0.04 68.76±0.04 1.67±0.04 1.1±0.1 30.7±0.7 7.0±0.1 112.9±0.7
6 1.96±0.08 0.58±0.04 50.24±0.07 1.23±0.08 0.79±0.02 19.9±0.3 4.75±0.06 79.47±0.28
12 n.d. n.d. 23.58±0.09 0.89±0.03 0.59±0.04 9.57±0.08 1.74±0.03 36.4±0.1
2016 Control 0 1.14±0.08 3.25±0.09 70.93±0.1 n.d. 1.18±0.08 33.4±0.5 7.3±0.3 117.3±0.2
6 n.d. 2.16±0.09 58.94±0.08 n.d. 0.87±0.04 27.73±0.4 4.9±0.1 94.6±0.43
12 n.d. 1.60±0.05 47.4±0.1 n.d. n.d. 20.9±0.2 5.36±0.09 75.3±0.3
LRF 0 1.95±0.07 4.88±0.03 81.9±0.2 n.d. 2.0±0.1 34.7±0.3 6.64±0.04 132.2±0.5
6 0.1±0.2 3.62±0.03 65.0±0.1 n.d. 1.20±0.03 26.7±0.4 4.3±0.2 100.9±0.6
12 n.d. 3.46±0.06 54.4±0.3 n.d. n.d. 21.7±0.1 5.1±0.2 84.6±0.2
LRV 0 1.80±0.04 4.2±0.2 76.5±0.4 n.d. 1.14±0.02 32.48±0.08 8.6±0.1 124.7±0.7
6 n.d. 2.41±0.04 50.0±0.2 n.d. 0.82±0.03 20.2±0.2 4.52±0.05 78.0±0.2
12 n.d. 1.54±0.06 32.8±0.2 n.d. n.d. 11.89±0.07 3.0±0.1 49.2±0.1

Results are expressed as mean value±S.D. (N=3); n.d.=not detected. Abbreviations: Pet-3-Glc=petunidin-3-O-glucoside, Peo-3-Glc=peonidin-3-O-glucoside, Malv-3-Glc=malvidin-3-O-glucoside, Pet-3-Coum-Glc=petunidin-3-O-(coumaroyl) glucoside, Peo-3-Coum-Glc=peonidin-3-O-(coumaroyl) glucoside, Mal-3-Ac-Glc=malvidin-3-O-(acetyl) glucoside, Mal-3-Coum-Glc=malvidin-3-O-(coumaroyl)

The effect of leaf removal on the concentration of total phenolic acids, total procyanidins, total flavan-3-ols and total flavonol glycosides during different ageing period (0, 6 and 12 months) in Merlot, Syrah and Cabernet Sauvignon wines (2015/2016)

Year Treatment t/month γ(total phenolic acid)/(mg/L) γ(total procyanidin)/(mg/L) γ(total flavan-3-ol)/(mg/L) γ(total flavonol glycoside)/(mg/L)
Merlot Syrah Cabernet Sauvignon Merlot Syrah Cabernet Sauvignon Merlot Syrah Cabernet Sauvignon Merlot Syrah Cabernet Sauvignon
2015 Control 0 52.5±0.2 83.36±0.05 43.2±0.2 93.1±0.4 92.5±0.11 59.9±0.3 22.04±0.05 56.8±0.2 21.1±0.1 37.3±0.3 91.1±0.5 35.8±0.3
6 50.6±0.1 102.54±0.05 48.6±0.1 89.2±0.4 87.4±0.4 57.88±0.09 20.7±0.2 58.73±0.07 17.94±0.06 28.4±0.3 75.6±0.5 26.6±0.2
12 51.4±0.1 106.7±0.1 50.3±0.1 67.3±0.3 75.0±0.4 45.5±0.2 17.3±0.2 105.5±0.5 18.6±0.5 16.3±0.4 42.8±0.1 13.8±0.2
LRF 0 59.9±0.1 87.4±0.2 41.1±0.2 100.1±0.6 88.6±0.3 46.1±0.2 26.9±0.4 61.9±0.6 20.4±0.2 58.4±0.5 112.8±0.2 33.1±0.1
6 60.4±0.6 95.7±0.2 44.7±0.8 77.3±0.6 83.1±0.5 43.8±0.3 22.02±0.04 59.3±0.6 20.3±0.2 32.7±0.2 83.9±0.4 23.0±0.1
12 63.5±0.5 96.94±0.07 45.3±0.1 65.5±0.4 66.5±0.2 44.2±0.3 18.1±0.1 91.0±0.5 22.6±0.3 19.3±0.5 52.0±0.6 12.4±0.8
LRV 0 63.3±0.4 82.95±0.1 47.0±0.4 112.7±0.3 93.64±0.03 56.2±0.3 28.84±0.08 64.6±0.4 17.3±0.1 49.4±0.2 111.7±0.7 29.2±0.4
6 62.9±0.6 82.06±0.08 56.1±0.3 92.4±0.4 84.1±0.1 45.1±0.3 23.7±0.1 58.5±0.2 20.1±0.1 32.9±0.6 62.0±0.4 25.1±0.3
12 62.26±0.03 84.8±0.4 57.1±0.4 81.3±0.6 54.3±0.2 40.1±0.2 20.0±0.1 78.1±0.8 20.5±0.2 18.3±0.3 31.9±0.1 11.5±0.4
2016 Control 0 60.5±0.2 79.89±0.09 81.0±0.7 110.7±0.6 98.17±0.06 34.7±0.3 17.2±0.1 30.48±0.08 14.7±0.2 15.3±0.2 41.4±0.4 13.3±0.2
6 60.9±0.2 83.95±0.06 27.3±0.3 99.6±0.3 70.1±0.2 40.7±0.3 29.0±0.4 27.3±0.2 54.5±0.2 20.14±0.03 41.6±0.1 11.44±0.05
12 75.0±0.3 108.3±0.3 60.3±0.3 67.2±0.3 56.7±0.5 41.8±0.1 32.6±0.2 24.6±0.2 65.2±0.1 21.5±0.1 37.4±0.5 9.2±0.2
LRB 0 86.1±0.3 104.9±0.2 93.7±0.4 118.89±0.06 66.2±0.4 73.7±0.1 18.94±0.05 31.8±0.4 18.8±0.3 31.9±0.2 81.9±0.5 30.1±0.1
6 84.1±0.5 110.5±0.1 38.9±0.2 92.8±0.2 58.8±0.9 60.6±0.4 28.97±0.02 30.0±0.5 55.4±0.7 30.2±0.1 60.7±0.1 20.4±0.3
12 105.9±0.5 136.8±0.8 89.9±0.4 69.0±0.4 45.5±0.2 50.9±0.2 36.0±0.2 25.4±0.1 62.8±0.4 30.8±0.3 49.9±0.2 27.4±0.4
LRV 0 74.8±0.4 78.7±0.6 81.45±0.09 124.0±0.1 65.8±0.2 46.4±0.8 22.1±0.2 37.3±0.4 17.7±0.3 22.3±0.8 61.3±0.2 24.2±0.3
6 80.8±0.6 86.1±0.5 33.2±0.4 92.1±0.1 49.6±0.8 42.9±0.3 24.8±0.5 32.1±0.8 46.5±0.4 21.3±0.1 53.0±0.4 15.4±0.4
12 94.3±0.8 108.8±0.4 22.8±0.2 73.8±0.5 41.9±0.2 32.0±0.4 26.9±0.6 25.0±0.3 48.1±0.2 22.7±0.6 41.7±0.1 14.0±0.2

Results are expressed as mean value±S.D., N=3