Original research articles

The impact of cluster thinning on fertility and berry and wine composition of 'Blauer Portugieser' (Vitis vinifera L.) grapevine variety

Abstract

Aim: Two different yield reductions based on cluster thinning (CT) were performed to determine their impact on vine growth, yield, and grape and wine composition of 'Blauer Portugieser' grapevine variety.

Methods and results: Two levels of cluster thinning (limited CT1 – 20-30 % and severe CT2 – 40-50 % cluster reduction) were applied at the pea-size berry (BBCH 75) phenological stage in 2007, 2008 and 2011. The potential impact of CT was determined by measurements of vine growth and fertility potential, berry weight, berry colour, soluble solids content, titratable acidity, pH and total phenolics. Additionally, for the first time, individual phenolic compounds were identified and quantified in berry skin and wine by HPLC-MS. In general, CT of 'Blauer Portugieser' significantly decreased titratable acidity in grape and wine, and increased pH and chromatic parameters in grape and alcohol content and volatile acidity in wine. A significant decrease in yield per vine (of 0.92 kg of grape/vine), together with an increase in soluble solids (of 2.8 °Brix) in grape and pH and total extract content in wine was only observed in severe CT (CT2). Furthermore, CT2 significantly increased the content of total anthocyanins, flavonols and hydroxycinnamic acids, but not total flavanols, in grape and wine. CT2 significantly increased the content and proportion of p-coumaroyl pentose in grape and wine, catechin in grape, epicatechin in wine, quercetin-3-glucuronide (the main flavonol in 'Blauer Portugieser') in grape and wine, the content of myricetin-3-glucoside in grape, and the content of 3-glucosides of laricitrin, myricetin and quercetin in wine. Finally, CT2 increased the content and the proportion of 3-glucosides of delphinidin, petunidin and peonidin but decreased the proportion of malvidin-3-glucoside in grape and wine.

Conclusion: A significant impact on yield and grape and wine composition was observed, particularly in the CT2 treatment, in which the yield loss was compensated by higher contents of soluble solids in grape, alcohol in wine, and phenolic compounds in grape and wine.

Significance and impact of the study: The present study is the first report on the impact of different levels of cluster thinning on yield and grape and wine composition of 'Blauer Portugieser' variety. Grape and wine composition has been evaluated with an emphasis on a detailed profile of individual and total phenolic contents. The results are undoubtedly useful for winegrowers, who, until now, lacked technological guidelines to optimize 'Blauer Portugieser' yield and wine quality.

Introduction

Grape and wine production in Europe is an important and traditional agricultural sector, although its extent in EU has decreased by around 15 % in the past decades (O.I.V., 2013). This could be attributed to the high cost of grape production, especially in areas with small fragmented vineyards on high slopes where manual labour still predominates (Preszler et al., 2010). Winegrowers are constantly trying to optimize the ratio between quantity and quality and to raise the price of wine. Yield and vegetative growth affect grape and wine quality and can be controlled by grape cluster and shoot thinning (Šuklje et al., 2013), berry thinning (Gil et al., 2013), shoot topping and defoliation after blooming (Reynolds et al., 2004; Šuklje et al., 2013). Cluster thinning (CT) is undoubtedly one of the most commonly used vineyard practices for achieving the optimal ratio between yield and quality (Naor et al., 2002; Prajitna et al., 2007; Preszler et al., 2010), balancing crop and improving grape and wine composition (Naor et al., 2002). Entire clusters or their parts are usually removed by hand at different phenological stages during grape ripening before harvest (Prajitna et al., 2007; Di Profio et al., 2011; Gil et al., 2013). Although this is a costly and labour-intensive procedure (time-consuming and requiring skills, experience and precision), the enhanced product quality makes it economically feasible (Preszler et al., 2010). However, timing and intensity of cluster thinning depend on the purpose and goal of the wine style. Prajitna et al. (2007) demonstrated that cluster removal at the pea-size stage significantly increased pH, total phenolic content and anthocyanins and decreased titratable acidity in grape. Bubola et al. (2011) reported that in 'Merlot' yield reduction by 60 % CT at véraison increased leaf area/fruit weight ratio from 1.96 m2/kg in the control treatment to 2.08 m2/kg. They demonstrated that CT significantly increased the amount of total phenolics by 510 mg/L and anthocyanins by 182 mg/L, compared to the control vines. Furthermore, they also reported an impact of CT on colour intensity, which reached 1.84 at 60 % CT, but only 1.05 in the control. Guidoni et al. (2002) showed that CT performed at the pea-size phenological stage on 'Nebbiolo' variety significantly increased soluble solids content by 1 to 2 °Brix. Furthermore, Gil et al. (2013) and Prajitna et al. (2007) demonstrated that, compared to the control, CT of 'Syrah' and 'Chambourcin' varieties significantly increased anthocyanin contents by 24 % and 52 %, respectively. However, CT could result in a significant yield reduction (Gil et al., 2013; Gamero et al., 2014), although the produced grape quantity usually meets winegrowers expectations. On the other hand, Bubola et al. (2011) reported an increased size of the remaining berries after CT. Specifically, berries were 34 % bigger in the 60 % CT treatment compared to the control, but a yield loss of 19 to 40 % was measured. In the last decades, landmark publications regarding the impact of CT on grape and wine quality parameters focused mainly on world-wide cultivated grapevine varieties (Bubola et al., 2011; King et al., 2012; Gil et al., 2013; Šuklje et al., 2013) and less on minor varieties such as 'Blauer Portugieser'. However, local varieties are important for many grape and wine producers, especially when the wine production is targeted and specialized.

'Blauer Portugieser' (Vitis vinifera L.) is a red grapevine variety grown in Central and South-Eastern Europe and known for its high yield and vigour (Hrček and Korošec-Koruza, 1996). In Slovenia, the 'Blauer Portugieser' variety (syn. 'Portugalka') is mostly cultivated in the Bela krajina winegrowing district and is one of the most important varieties for the production of a Slovenian wine with a recognised traditional denomination – PTP Metliška črnina (Rules of wine denomination - Metliška črnina, 2008). The high yield of 'Blauer Portugieser' is often reflected in a poor quality (low sugar content, high acidity) and poor colour intensity of grape and wine (Gamero et al., 2014). A long-term monitoring (2002-2012) of grape quality parameters indicated that the 'Blauer Portugieser' variety has, on average, a low sugar content from 67 to 85 °Oe, quite variable total acidity from 4.4 to 7.3 g/L, a pH from 3.14 to 3.62, and an average berry weight from 185 to 268 g/100 berries (Chamber of Agriculture and Forestry of Slovenia, 2014). The Blauer Portugieser wine is known as a light-bodied, light-coloured dry wine with an alcohol content around 11 %, acidity 7 g/L, total extract 25 g/L, pH 3.4 and volatile acidity around 0.2 g/L (Nemanič, 1999). Thus, CT could represent one of the possible practices to improve and standardize grape and wine quality (Šuklje et al., 2013). The aim of the present study was to monitor for the first time the potential impact of different levels of cluster thinning of 'Blauer Portugieser' on yield and growth potential and grape and wine composition. The research provides, in particular, information about the phenolic profile of 'Blauer Portugieser' which greatly affects grape and wine quality. The results will be useful to winegrowers of 'Blauer Portugieser', who, until now, lacked information on the effect of thinning on grape and wine quality characteristics.

Materials and methods

1. Experimental vineyard

The experiment was conducted in 2007, 2008 and 2011 on 'Blauer Portugieser' vines trained on single Guyot, planted at the distance of 2.3 m x 0.9 m, and grafted on SO4 rootstock (Vitis berlandieri × Vitis riparia). The vineyard was maintained with a permanent green cover and managed according to integrated pest management measures; it was located in South-Eastern Slovenia in the Bela krajina winegrowing district, in the Radovica winegrowing area (latitude: 45°41' N, longitude: 15°20' E) at 375 m above sea level. The soil was classified as sandy clay loam (> 45 % sand, 20-40 % clay and < 30 % silt), its depth was more than 70 cm, containing 1 to 2 % of organic matter with a medium water-holding capacity. Soil analysis at the depth 0-20 cm showed 5.4 mg P2O5/100 g of soil, 21.3 mg K2O/100 g of soil, 7.8 mg Mg/100 g of soil, 1.6 % organic matter and a pH value of 7.0, and at the depth 20-40 cm 1.5 mg P2O5/100 g of soil, 20.1 mg K2O/100 g of soil, 4.6 mg Mg/100 g of soil, 0.8 % organic matter and a pH value of 7.2. The soil characteristics are typical for anthrosol, which has been formed or heavily modified due to long-term human activity, such as deep ploughing, cultivation or irrigation (Pedological map of Slovenia, 2007). The climate in the area is subpanonic with an average annual air temperature of 10.1 °C and rainfall not exceeding 1100 mm per year, according to the average temperature (Fig. 1) and precipitation (Fig. 2) from 1990 to 2011 (Slovenian Environment Agency, 2015).

2. Experimental design

The study was conducted in a vineyard as a block experiment with three treatments and four replicates per treatment. Each block was built of three randomly set treatments, where each treatment was set on twenty consecutive vines in a single row: control (C - no cluster thinning), cluster thinning 1 (CT1 - all third clusters on the shoot and every second cluster on each second shoot were removed; limited 20-30 % cluster reduction) and cluster thinning 2 (CT2 - only one cluster left on each shoot; severe 40-50 % cluster reduction). The treatment replicates were organized by four parallel and adjacent rows. The initial growth potential was measured - the buds and shoots on studied vines were counted and the yield potential at BBCH 53 (BBCH, 2001) phenological stage was estimated by counting the inflorescences. The level of cluster thinning was set on the basis of recorded yield potential. The cluster thinning was always performed at the pea-size berry phenological stage (BBCH stage 75): in 2007 on 17th of July, in 2008 on 19th of July, and in 2011 on 1st of July. The experiment started in 2007 and was upgraded in 2008 and 2011 with a detailed analysis of secondary metabolites in grape and wine. Approximately 0.5 kg of grapes (4-5 clusters per replicate) were harvested at appropriate ripeness (BBCH 89) and berries were collected from different parts of the cluster for further analyses. Five individual microvinifications per treatment were conducted under equal conditions: 200 kg of grapes per treatment were first divided into five equal parts, the grapes were destemmed, berries crushed and the maceration lasted for 10 days. At the start of the maceration, 20 g/hL of rehydrated yeast Saccharomyces cerevisiae Mycoferm ROUGE was added into each vessel, according to the producer guidelines (INRA, Bordeaux, France). During the maceration, the cap of grape marc was punched-down by hand twice per day, and at the end of the maceration process the marc was pressed separately per treatment and replicate. The obtained semi-fermented must was decanted into individual 30-L tanks, where wine fermentation continued for an additional fourteen days. After that, the wine was decanted and 25 mL/hL of 5 % sulphuric acid (H2SO3) was added into individual tanks.

3. Measurements and analysis

All measurements of berry characteristics were conducted immediately after harvest, and chemical analyses were carried out during the following months. The growth (vegetative) potential of vines was assessed by counting the total number of unfertile and fertile buds and shoots before flowering in all three years. In the first year (2007) of the study, the weight of 100 berries, contents of soluble solids and titratable acidity were measured; in the next year (2008), the experiment was upgraded with additional measurements of colour parameters of berry skin and must. In the third year (2011), the study focused on secondary metabolites with measurements of the contents of total and individual phenolics in grape and wine. Additionally, colour parameters of berries, chemical parameters of berries and/or wine (pH value, content of soluble solids and titratable acidity) and wine composition parameters were measured.

4. Berry and wine composition

The content of soluble solids was assessed with a digital refractometer (ATAGO PAL87S) and expressed in Brix scale. To determine the content of titratable acidity, 0.1 M NaOH was added to the sample with a semiautomatic titrator till pH value reached 7.0 (Ough and Amerine, 1988a) and the required volume was recorded. The content of titratable acidity was expressed in g/L. Before the titration, initial pH value of the must was measured. The chemical analyses of the produced wines were performed one month after sulphuring. A single sample of wine per tank (five wines/replicate per treatment) was decanted and the chemical characteristics were evaluated using a WineScan FT120 (Foss, Denmark).

5. Colour parameters

Twenty berries per replicate for each individual treatment were randomly sampled and used to determine colour parameters with a Minolta CR-300 Chroma colorimeter (Minolta Co.; Osaka, Japan). Two measurements at opposite sites of the same berry were taken and CIELAB values a*, b*, L*, C* and h were recorded to calculate the CIRG index (Carreño et al., 1995).

The must colour was measured according to the method reported by Ough and Amerine (1988b). The pH value of each must sample was recorded and samples were diluted with a solvent solution of sulphuric acid (H2SO4) and bidistilled water of the identical pH value (1:10, v/v). Absorbance was measured on a UV-VIS spectrophotometer (Lambda Zobio) at 420 nm, 520 nm and 620 nm. Colour intensity was calculated as the sum of absorbances A420, A520 and A620 for each sample and tonality (hue) as the ratio of A420 and A520 (Glories, 1984).

6. Phenolic compounds

Phenolic compounds were extracted from berry skin according to the method of Mikulič-Petkovšek et al. (2012). Briefly, the skin was separated from the pulp with a scalpel when the berries were still frozen, and the skin samples were ground to a fine powder with liquid nitrogen. Approximately 0.5 g of the skin powder (exact weight was recorded for each sample) was put into a 10-mL centrifuge tube, and 10 mL of methanol containing 3 % (v/v) formic acid and 1 % (w/v) 2,6-di-tert-butyl-4-methylphenol (BHT) were added. BHT was added to the samples to prevent oxidation. The extraction was performed in a cooled ultrasonic bath for 1 h. After extraction, the obtained extracts were centrifuged (Eppendorf Centrifuge 5810R) at 10.000 rpm for 7 min at 4 °C. The supernatant was filtered through a 0.20-µm injection filter (Chromafil A-20/25, Macherey-Nagel) into a vial. Phenolic analyses were performed on a HPLC-MS system (Thermo Finnigan Surveyor with quaternary pump, San Jose, USA); a Phenomenex Gemini C18 (150 mm x 4.5 mm, 3 µm) column operating at 25 °C was used. Phenolics were detected at 280 nm (flavanols, hydroxycinnamic acids derivatives), 350 nm (flavonols) and 530 nm (anthocyanins). The elution solvents were aqueous 1 % formic acid (A) and 100 % acetonitrile (B). Samples were eluted according to the linear gradient described by Marks et al. (2007), with an injection amount of 20 μL and flow rate of 1 mL/min. All phenolic compounds were identified using a mass spectrometer (Thermo Scientific, LCQ Deca XP MAX) with an electrospray ionization (ESI) operating in negative (all phenolic groups except anthocyanins) and positive (anthocyanins) ion mode. The analyses were carried out using full scan data-dependent MSn scanning from m/z 115 to 1500. The injection volume was 10 μL and the flow rate maintained at 1 mL/min. The capillary temperature was 250 °C, the sheath gas and auxiliary gas were 60 and 15 units, respectively, the source voltage was 3 kV for negative ionization and 4 kV for positive ionization, and normalized collision energy was between 20-35 %. Spectral data were elaborated using the Excalibur software (Thermo Scientific).

The identification of phenolic compounds was confirmed by comparing retention times and their spectra as well as by adding the standard solution to the sample and by fragmentation (Table 1). The content of total hydroxycinnamic acids, flavanols, flavonols and anthocyanins was calculated as the sum of all identified and quantified individual phenolics of the corresponding phenolic group.


Table 1. Identification of phenolic compounds in grape skin and wine of 'Blauer Portugieser' variety in positive and negative ionization with HPLC-MS and MS2

Tentative identification M+ or [M-H]-(m/z)a MS2 (m/z) Analyzed in
skin wine
Hydroxycinnamic acids        
Caftaric acid 311 179 x x
p-Coumaroyl pentose 295 163 x x
trans fertaric acid 325 193 x x
trans coutaric acid 295 163 x x
Flavanols        
Catechin 289 245 x x
Epicatechin 289 245   x
Procyanidin dimer 1 577 289   x
Procyanidin dimer 2 577 289   x
Procyanidin trimer 865 407, 289 x x
Flavonols        
Myricetin-3-glucoside 479 317 x x
Myricetin-3-glucuronide 493 317 x x
Quercetin-3-rutinoside 609 391 x  
Quercetin-3-galactoside 463 301 x x
Laricitrin-3-glucoside 493 331 x x
Quercetin-3-glucoside 463 301 x x
Quercetin-3-glucuronide 477 301 x x
Laricitrin-3-glucuronide 507 331 x  
Kaempferol-3-O-(6-O-p-coumaroyl) glucoside 593 447, 285 x  
Isorhamnetin-3-rutinoside 623 315 x x
Kaempferol-3-rutinoside 593 285 x x
Kaempferol-3-galactoside 447 285 x x
Kaempferol-3-glucoside 447 285 x x
Isorhamnetin-3-glucoside 477 315 x x
Syringetin-3-glucoside 507 345 x x
Kaempferol-3-glucuronide 461 285 x  
Laricitrin-3-rutinoside 639 331   x
Anthocyanins        
Delphinidin-3-glucoside 465 303 x  
Cyanidin-3-glucoside 449 287 x  
Petunidin-3-glucoside 479 317 x x
Peonidin-3-glucoside 463 301 x  
Malvidin-3-glucoside 493 331 x x
Delphinidin-3-(6˝ acetyl) glucoside 507 303 x  
Petunidin-3-(6˝acetyl) glucoside 521 317 x  
Malvidin-3-(6˝acetyl) glucoside 535 331 x x
Delphinidin-3-(6˝-p-coumaroyl) glucoside 611 303 x  
Petunidin-3-(6˝-p-coumaroyl) glucoside 625 317 x x
Peonidin-3-(6˝-p-coumaroyl) glucoside 609 301 x x
Malvidin-3-(6˝-p-coumaroyl) glucoside 639 331 x x
Malvidin-3-glucoside acetate 517 355   x
Malvidin-3-glucoside pyruvate 561 399   x
Malvidin-3-(6˝acetyl) glucoside pyruvate 603 399   x
Peonidin-3-(6˝acetyl) glucoside 505 301   x
Malvidin-3-(6˝caffeoyl) glucoside 655 331   x
Malvidin-3-(6˝-p-coumaroyl) glucoside pyruvate 707 399   x

aM+ (m/z) anthocyanins were obtained in positive ion mode, other phenolics in negative ion mode.

7. Total phenolic content (TPC)

Total phenolic content was assessed with the Folin-Ciocalteu reagent method described by Singleton et al. (1999). The extraction of phenolics from berry skin was made according to the protocol reported by Mikulič-Petkovšek et al. (2012), but without adding the BHT into the extraction solution to avoid interferences with phenolics that may indicate an increase of the analytical value. 100 µL of the extract was placed into a centrifuge tube and 6 mL of bidistilled water and 500 µL of Folin-Ciocalteu reagent were added to the mixture. After 1 to 8 min, 1.5 mL of sodium carbonate (Na2CO3) was added and the mixture was diluted with bidistilled water until reaching a volume of 10 mL. The samples were mixed and heated in a drying oven at 40 °C for 30 min. The samples were poured into 1.5-mL cuvettes and the absorbance was measured on a spectrophotometer (Perkin-Elmer, UV/visible Lambda Bio 20) at 765 nm. Water and corresponding reagents were used as a blank. Different concentrations of gallic acid were measured to obtain an absorbance standard curve. The absorbance of each sample was measured in three replicates. TPC was expressed as gallic acid equivalents (GAE) in mg/kg FW of berry skin/wine in mg/L.

8. Chemicals

The following standards were used for the quantification of phenolic compounds: cyanidin-3-O-galactoside, quercetin-3-O-galactoside, quercetin-3-O-glucoside, caffeic acid, catechin, p-coumaric acid and procyanidin B2 from Fluka Chemie GmBH (Buchs, Switzerland), delphinidin-3-O-glucoside, cyanidin-3-O-glucoside, quercetin-3-O-rutinoside and kaempferol-3-glucoside from Sigma-Aldrich Chemical (St. Louis, MO, USA). To prevent the oxidation of individual phenolics, 1 % (w/v) BHT from Sigma-Aldrich GmBH was used. The Folin-Ciocalteu reagent from Fluka Chemie GmBH (Buchs, Switzerland) was used to determine TPC. Methanol for extraction of phenolics was from Sigma-Aldrich GmBH. The chemicals used for the mobile phases were acetonitrile HPLC-MS grade and formic acid from Fluka Chemie GmBH. Water was purified and twice distilled with a Milli-Q-system (Millipore, Bedford, MA, USA).

9. Statistical analysis

Data were analyzed using the Statgraphics Centurion XV program (Statpoint Technologies Inc., Warrenton, Virginia, USA). Differences in yield, grape and wine composition among treatments were assessed with one-way analysis of variance (ANOVA). Significant treatment means were determined using Fisher’s least significant difference (LSD) and Duncan multiple range test at 95 % confidence level (p ≤ 0.05), and significant differences are given by different letters.

Results

1. Growth and yield potential

No significant differences in growth potential were observed between the different levels of CT in a single year, confirming equal growing conditions in the vineyard (Table 2). Irrespective of the year, an average of 12.3 to 14.4 buds/vine were left at winter pruning, which resulted in an average of 10.4 to 15.4 shoots/vine, of which 0.1 to 0.8 were unfertile. No significant differences in cluster number/vine were observed among treatments at flowering, which reached 16.1 to 24.8 clusters/vine, irrespective of the year. However, the reduction of clusters (CT1 and CT2) was made according to the recorded total number of clusters per individual vine. All clusters were left on the vines in the control treatment and, in accordance with the experimental design, the number of removed clusters was significantly higher in the CT2 treatment (8.3 to 10.3 clusters/vine) compared to the CT1 treatment (5.3 to 5.6 clusters/vine), irrespective of the year. As expected, different levels of CT resulted in significantly different yields/vine, especially in CT2 compared to the control. Taking into account all three years, vines subjected to the CT2 treatment produced 1.5 to 2.7 kg of grapes, but no significant reduction in yield/vine was observed when compared to CT1 in 2008 and 2011 (Table 2). CT did not significantly affect average cluster weight, which ranged from 126 to 194 g. The results indicate that limited cluster removal (CT1) in 'Blauer Portugieser' variety does not generally reduce yield/ha when compared to the control. This was confirmed in 2007 and 2008. On the other hand, severe cluster removal (CT2) significantly decreased yield/ha compared to the control treatment in all three years of the study by an average of 4.2 to 5.3 t/ha. However, taking into account the average cluster weight, yield per vine and number of vines/ha, the yield/ha in CT2 was quite high, reaching 7.0 to 13.0 t/ha, also in 2011 when the number of buds/vine at winter pruning was further reduced.


Table 2. Growth potential and yield characteristics of 'Blauer Portugieser' grapevines at different cluster thinning levels in three years

Growth potential
Treatment Buds Shoots
2007 Total Unfertile Fertile Total Unfertile Fertile
C 13.3±0.4 1.0±0.2 12.9±0.7 13.6±0.6 0.3±0.1 13.3±0.5
CT1 14.0±0.5 1.3±0.3 13.5±0.5 14.3±0.5 0.6±0.2 13.7±0.5
CT2 14.4±0.4 1.4±0.2 12.9±0.3 13.8±0.4 0.3±0.1 13.4±0.4
2008
C 14.0±0.4 0.8±0.3 12.7±0.5 15.4±0.8 0.3±0.1 14.8±0.7
CT1 13.8±0.7 0.7±0.3 12.4±0.7 14.6±0.8 0.7±0.2 13.7±0.8
CT2 13.7±0.3 1.0±0.3 12.4±0.5 13.7±0.6 0.8±0.2 12.9±0.6
2011
C 12.8±0.6 1.1±0.3 11.4±0.7 11.2±0.4 0.5±0.3 10.7±0.4
CT1 12.3±0.4 1.5±0.3 11.1±0.5 10.4±0.7 0.5±0.2 9.9±0.7
CT2 13.3±0.4 1.3±0.3 11.4±0.5 10.6±0.5 0.1±0.1 10.7±0.5
Yield characteristics
Treatment No. of clusters per
vine at flowering
No. of removed
clusters per vine
No. of clusters
per vine at
harvest
Yield
(kg/vine)
Cluster
weight (g)
Yield potential
(t/ha)
2007
C 24.3±1.0 0±0 a 23.8±1.0 c 3.0±0.2 b 127±7.9 14.3±0.9 b
CT1 24.4±0.9 5.5±0.6 b 19.9±0.9 b 2.8±0.3 b 142±11.5 13.5±1.4 b
CT2 24.8±1.0 10.3±0.7 c 15.4±0.7 a 2.1±0.2 a 135±9.2 10.1±1.0 a
2008
C 24.8±1.2 0±0 a 24.2±1.1 c 3.8±0.2 b 161±8.1 18.1±0.7 b
CT1 23.7±0.9 5.6±0.8 b 18.3±0.8 b 3.3±0.2 ab 183±12.2 15.7±0.9 ab
CT2 22.0±0.9 9.6±0.9 c 14.0±0.8 a 2.7±0.3 a 194±15.5 13.0±1.3 a
2011
C 18.8±0.6 0±0 a 18.3±1.1 b 2.6±0.2 b 142±7.6 12.3±1.0 b
CT1 16.1±1.0 5.3±0.7 b 11.3±1.2 a 1.8±0.1 a 133±9.0 7.7±1.4 a
CT2 18.3±1.6 8.3±0.9 c 11.0±0.9 a 1.5±0.2 a 126±14.1 7.0±0.7 a

C: control (no cluster thinning); CT1: 20-30 % cluster reduction; CT2: 40-50 % cluster reduction. The results are presented as mean ± standard error and different letters in columns denote statistically significant differences (LSD test, p < 0.05) among treatments in each individual year.

2. Grape and wine composition

CT affected many of the studied grape and wine parameters (Table 3). Only the most severe CT (CT2) significantly increased the average content of soluble solids by 1.4 to 2.9 °Brix in comparison to the control, whereas the average content of soluble solids in CT1 was not significantly higher compared to the control in all three years. A greater impact of CT was observed on the content of titratable acidity (TA) and pH value: irrespective of the year, TA significantly decreased, while pH significantly increased (Table 3). Although the average berry weight was not affected by CT, the berries from CT vines reached significantly higher CIRG index and colour intensity, but not tonality, in 2011. In 2011, wine composition was additionally studied. Compared to the control, CT significantly increased the alcohol content by 1.2 to 1.5 vol. % and volatile acidity (which reached 0.31 and 0.32 g/L in CT1 and CT2, respectively), but decreased total acidity by 0.5 to 0.7 g/L. Moreover, CT2 significantly increased wine pH and the content of total extract.


Table 3. Characteristics of 'Blauer Portugieser' grape and wine composition at different cluster thinning levels in three years

Parameters 2007 2008 2011
C CT1 CT2 C CT1 CT2 C CT1 CT2
Grape                  
Soluble solids (°Brix) 17.2±0.4 a 18.5±0.7 ab 18.6±0.4 b 15.4±0.3 a 16.3±0.3 a 18.3±0.8 b 18.8±0.3 a 19.1±0.9 a 21.5±0.3 b
Titratable acidity (g/L) 5.3±0.05 b 4.2±0.13 a 3.7±0.08 a 4.2±0.05 b 3.5±0.04 a 3.6±0.01 a 4.2±0.06 b 4.1±0.01 b 3.3±0.04 a
pH 3.4±0.04 a 3.8±0.02 b 3.8±0.02 b 3.3±0.04 a 3.7±0.03 b 3.8±0.05 b 3.2±0.04 a 3.7±0.03 b 3.8±0.03 b
Weight of 100 berries (g) 165±6.5 172±4.8 168±6.2 161±6.9 170±13.0 163±7.5 170±7.7 176±4.4 174±5.2
CIRG index - - - 6.3±0.2 a 6.9±0.1 b 7.0±0.2 b 6.1±0.2 a 7.2±0.3 b 7.2±0.2 b
Colour Intensity - - - 5.7±0.1 a 6.7±0.1 b 8.7±0.3 c 8.8±0.1 a 10.8±0.9 b 11.6±0.3 b
Colour Tonality (Hue) - - - 1.1±0.1 a 1.3±0.1 b 1.3±0.3 ab 1.3±0.1 1.3±0.1 1.3±0.1
Wine                  
Alcohol (vol.%) - - - - - - 10.3±0.1 a 11.5±0.2 b 11.8±0.1 b
Total acidity (g/L) - - - - - - 6.9±0.05 c 6.4±0.03 b 6.2±0.01 a
pH - - - - - - 3.56±0.01 a 3.56±0.02 a 3.60±0.01 b
Total extract (g/L) - - - - - - 27.6±0.2 a 28.3±0.1 ab 29.0±0.2 b
Volatile acidity (g/L) - - - - - - 0.28±0.01 a 0.31±0.01 b 0.32±0.02 b

˝-˝not analyzed; C: control; CT1: 20-30 % cluster reduction; CT2: 40-50 % cluster reduction. The results are presented as mean ± standard error and different letters in rows denote statistically significant differences (LSD test, p < 0.05) among treatments in each individual year.

3. Phenolic composition of grape skin

Thirty-four different phenolic compounds were identified and quantified in 'Blauer Portugieser' berry skin (Table 4). Flavonols (16 compounds) were the most important group of identified phenolics in grape skin, followed by anthocyanins (12), hydroxycinnamic acids (4) (HCA) and flavanols (2). Generally, CT2 significantly increased the content of most phenolic compounds. Only CT2 significantly increased the content of total hydroxycinnamic acids (THCA) by an average of 16 mg/kg compared to the control. Caftaric acid was the most abundant among HCA. Its content was significantly increased by CT2 compared to the control, but its relative abundance was not affected. CT2 significantly increased the content and the proportion of p-coumaroyl pentose, which reached 12.8 mg/kg and its proportion was 1.2 % higher than in control. CT did not affect the content of total flavanols (TFA), but the proportion of catechin and procyanidin trimer significantly changed after CT. CT significantly increased the accumulation of less than half of the identified flavonols in berry skin. However, the content of total flavonols (TFO) increased after CT2, reaching 1017 mg/kg of fresh weight (Table 4). The most abundant flavonols in 'Blauer Portugieser' berry skin, irrespective of the treatment, were quercetin-3-glucuronide, quercetin-3-glucoside, myricetin-3-glucoside and quercetin-3-galactoside. CT2 only significantly increased quercetin-3-glucuronide and myricetin-3-glucuronide levels in comparison to the control. Interestingly, CT2 significantly increased the content of quercetin-3-glucuronide, but decreased its proportion regarding the total flavonol (TFO) content. Furthermore, a significant increase in the proportion of myricetin-3-glucoside, quercetin-3-glucoside and kaempferol-3-glucuronide was observed following severe CT. In agreement with the results obtained for flavonols, the most severe cluster thinning (CT2) had a significant impact on the total anthocyanin content (TAC) and on most of the identified individual anthocyanins in berry skin (Table 4). The most abundant of them was malvidin-3-glucoside, representing 27 to 30 % of TAC, followed by malvidin-3-(6˝-p-coumaroyl) glucoside (10-14 % TAC), petunidin-3-glucoside (9-13 % TAC), cyanidin-3-glucoside (10-11 % TAC), delphinidin-3-glucoside (7-12 % TAC) and peonidin-3-glucoside (6-8 % TAC). CT2 significantly increased the content and proportion of delphinidin-, cyanidin-, petunidin-, and peonidin-3-glucoside, compared to the control. However, the content of malvidin-3-glucoside and malvidin-3-(6˝-p-coumaroyl) glucoside also significantly increased in CT2, but the treatment decreased their proportion regarding TAC. Furthermore, TPC in CT1 vines was comparable to the control vines, suggesting that only a severe cluster reduction (CT2) may affect the accumulation of phenolics in berry skin of 'Blauer Portugieser'.


Table 4. Concentration of phenolic compounds in berry skin (mg/kg) and wine (mg/L) and relative abundance (%) according to the total amount of each phenolic group of 'Blauer Portugieser' subjected to different cluster thinnings

Phenolic compounds Treatment
  Skin (mg/kg) Wine (mg/L)
C % CT1 % CT2 % PI C % CT1 % CT2 % PI
Caftaric acid 105±2.8 a 82 114±5.1 ab 81 122±3.2 b 82 ↑** 9.7±0.2 a 56 8.7±0.9 a 54 11.8±0.2 b 55 ↑**
p-cou pentose 9.7±0.4 a 6 a 8.9±0.6 a 7 a 12.8±1.1 b 9 b ↑** 3.5±0.7 a 19 a 3.3±1.1 a 20 a 5.4±0.3 b 25 b ↑**
t-fertaric acid 11.2±5.6 8 10.4±5.0 8 7.5±4.0 5   2.7±0.5 15 2.9±1.0 18 3.0±0.4 14  
t-coutaric acid 6.4±0.2 b 4 5.4±0.3 a 4 5.6±0.3 ab 4   1.7±0.1 10 b 1.3±0.4 8 ab 1.4±0.1 6 a  
Total hydroxycinnamic
acids (THCA)
132±5.2 a 100 139±4.6 a 100 148±3.3 b 100 ↑** 17.5±1.5 a 100 16.1±5.4 a 100 21.5±0.4 b 100 ↑**
Catechin 167±3.3 a 40 a 143±9.5 a 46 b 209±6.2 b 48 b ↑** 39.0±1.2 16 39.1±1.3 15 51.4±3.7 14  
Procyanidin dimer 1 N.D. N.D. N.D. N.D. N.D. N.D.   29.3±3.7 a 12 a 31.0±1.2 a 12 a 55.4±2.7 b 15 b ↑**
Procyanidin dimer 2 N.D. N.D. N.D. N.D. N.D. N.D.   112±4.6 a 45 b 113±4.4 a 43 ab 146±2.4 b 40 a ↑**
Procyanidin trimer 254±15.5 60 b 191±48.3 54 a 271±82.8 52 a   26.9±2.2 a 11 27.1±9.1 a 11 38.1±2.5 b 11 ↑**
Epicatechin N.D. N.D. N.D. N.D. N.D. N.D.   41.1±1.3 a 17 a 48.7±1.8 a 19 ab 74.1±5.4 b 20 b ↑**
Total flavanols (TFA) 421±15.5 100 334±57.0 100 480±78.1 100   248±10.7 100 259±92.9 100 365±18.9 100  
Myricetin-3-glu 90.6±8.4 a 10 a 82.2±11.1 a 13 ab 124±8.4 b 16 b ↑** 4.2±0.3 a 8 a 5.1±0.2 ab 9 b 7.9±0.1 b 10 c ↑**
Myricetin-3-gluc 22.7±1.4 a 3 29.3±2.1 b 3 31.0±0.5 b 3 ↑* 0.6±0.2 1 0.6±0.2 1 0.7±0.1 1  
Quercetin-3-rut 25.9±2.9 a 4 26.8±1.8 b 4 35.0±1.5 b 3 ↑* N.D. N.D. N.D. N.D. N.D. N.D.  
Quercetin-3-gal 46.4±5.4 6 55.5±1.4 6 65.2±10.0 7   4.1±0.1 8 a 4.9±1.7 9 b 6.7±0.2 9 b  
Laricitrin-3-glu 4.6±0.2 0.5 4.1±0.5 0.6 5.6±0.7 1   4.2±0.1 a 13 a 5.1±1.7 ab 17 b 7.6±0.1 b 17 b ↑**
Quercetin-3-glu 137±4.7 15 a 123±15.9 17 ab 167±21.7 18 b   1.6±0.2 a 4 a 2.7±0.9 ab 5 b 3.9±0.3 b 5 b ↑**
Quercetin-3-gluc 283±20.6 a 43 b 327±33.7 ab 40 b 397±16.2 b 36 a ↑** 21.8±0.2 a 44 b 20.0±0.7 a 37 a 29.5±0.1 b 38 a ↑**
Laricitrin-3-gluc 2.8±0.2 a 0.4 3.3±0.3 ab 0.4 3.9±0.2 b 0.4 ↑** N.D. N.D. N.D. N.D. N.D. N.D.  
Kaempferol-3-(6-p-cou) glu 25.0±2.0 a 4 27.9±1.7 b 3 35.0±1.1 b 3 ↑* N.D. N.D. N.D. N.D. N.D. N.D.  
Isorhamnetin-3-rut 35.3±1.8 4 25.2±2.2 4 61.5±38.1 6   2.6±0.2 5 1.7±0.8 12 2.9±0.4 4  
Kaempferol-3-rut 2.9±0.5 0.4 2.9±0.4 0.4 3.9±0.1 0.3   0.1±0.01 0.2 0.1±0.04 0.2 0.2±0.02 0.2  
Kaempferol-3-gal 17.0±0.5 2 12.4±2.0 2 12.5±1.6 1   0.9±0.1 2 1.1±0.3 2 1.7±0.2 2  
Kaempferol-3-glu 50.6±8.3 6 57.7±3.7 7 61.5±3.4 6   0.03±0.01 0.1 0.04±0.02 0.1 0.06±0.01 0.1  
Isorhamnetin-3-glu 2.9±0.1 0.3 3.4±0.3 0.5 3.6±0.9 0.4   6.7±0.1 13 c 6.7±2.2 12 b 8.9±0.2 11 a  
Syringetin-3-glu 1.8±0.1 0.2 2.2±0.2 0.3 2.4±0.6 0.3   0.9±0.01 2 0.9±0.03 2 1.3±0.02 2  
Kaempferol-3-gluc 5.1±0.2 0.6 a 5.9±0.5 0.8 a 6.4±1.6 1 b   N.D. N.D. N.D. N.D. N.D. N.D.  
Laricitrin-3-rut N.D. N.D. N.D. N.D. N.D. N.D.   1.0±0.1 2 1.4±0.5 3 1.8±0.1 2  
Total flavonols (TFO) 755±18.7 a 100 789±16.9 a 100 1017±19.3 b 100 ↑** 50.0±0.6 a 100 54.2±1.1 a 100 77.9±1.5 b 100 ↑**
Delphinidin-3-glu 588±7.4 b 7 a 505±6.9 a 7 a 814±25.1 c 12 b ↑** N.D. N.D. N.D. N.D. N.D. N.D.  
Cyanidin-3-glu 733±21.0 a 11 660±32.5 a 10 848±22.1 b 10 ↑** N.D. N.D. N.D. N.D. N.D. N.D.  
Petunidin-3-glu 718±15.03 a 9 a 628±25.7 a 10 a 906±57.7 b 13 b ↑** 9.2±0.2 a 3 14.7±0.9 b 4 13.9±0.2 b 4 ↑*
Peonidin-3-glu 459±22.8 a 6 a 405±34.2 a 7 a 553±12.9 b 8 b ↑** N.D. N.D. N.D. N.D. N.D. N.D.  
Malvidin-3-glu 1765±41 a 29 b 2105±44 b 30 b 2244±76 b 27 a ↑* 182±1.7 65 c 156±5.2 64 b 199±3.3 62 a  
Malvidin-3-glu ac N.D. N.D. N.D. N.D. N.D. N.D.   1.1±0.1 a 0.5 a 1.4±0.2 b 0.4 a 1.9±0.3 c 1 b ↑*
Malvidin-3-glu py N.D. N.D. N.D. N.D. N.D. N.D.   22.3±0.6 a 8 a 30.0±0.2 b 9 b 28.8±0.3 b 9 b ↑*
Malvidin-3-(6˝acetyl) glu py N.D. N.D. N.D. N.D. N.D. N.D.   7.4±0.2 a 9 9.5±0.4 b 8 9.9±0.1 b 9 ↑*
Peonidin-3-(6˝acetyl) glu N.D. N.D. N.D. N.D. N.D. N.D.   4.1±0.2 1 4.5±0.1 1 4.5±0.1 1  
Malvidin-3-(6˝caffeoyl) glu N.D. N.D. N.D. N.D. N.D. N.D.   2.4±0.3 a 1 2.7±0.1 b 1 2.9±0.5 c 1 ↑*
Malvidin-3-(6˝-p-cou) glu py N.D. N.D. N.D. N.D. N.D. N.D.   4.1±0.1 a 1 a 5.1±0.2 b 2 b 5.7±0.1 c 2 b ↑*
Delphinidin-3-(6˝ acetyl) glu 53.6±1.4 a 0.7 46.6±2.5 a 0.8 91.7±5.5 b 1 ↑** N.D. N.D. N.D. N.D. N.D. N.D.  
Petunidin-3-(6˝acetyl) glu 219±5.4 b 3 187±1.3 a 3 243±1.2 c 3 ↑** N.D. N.D. N.D. N.D. N.D. N.D.  
Malvidin-3-(6˝acetyl) glu 299±18.9 a 6 318±28.4 a 5 442±15.8 b 5 ↑* 25.2±0.4 a 9 b 26.8±0.1 ab 8 a 28.3±0.6 b 8 a ↑**
Delphinidin-3-(6˝-p-cou) glu 186.9±5.8 a 3 175±12.4 a 3 232±7.7 b 3 ** N.D. N.D. N.D. N.D. N.D. N.D.  
Petunidin-3-(6˝-p-cou) glu 273±14.1 a 4 261±15.8 a 4 368±11.9 b 4 ↑** 3.1±0.4 a 1 3.5±0.1 b 1 3.9±0.2 c 1 ↑*
Peonidin-3-(6˝-p-cou) glu 307±33.9 a 5 290±21.2 a 5 413±30.1 b 5 ↑** 3.3±0.1 a 1 4.2±0.3 b 1 4.5±0.6 c 1 ↑*
Malvidin-3-(6˝-p-cou) glu 729±47.9 a 14 c 791±73.0 a 12 b 1140±53.0 b 10 a ↑* 13.8±0.4 a 1 a 18.01±0.4 b 5 ab 19.9±0.1 c 6 b ↑*
Total anthocyanins (TAC) 6334±75 a 100 6376±68 a 100 8299±196 b 100 ↑** 279±3.1 a 100 328±1.9 b 100 323±4.1 b 100 ↑*
TPC 8069±157 a   8102±127 a   9339±159 b   ↑** 880±17.3 a   1045±28.8 b   1075±11.3 b   ↑*

Abbreviations of phenolic names: t: trans, p: para, glu: glucoside, gluc: glucuronide, rut: rutinoside, cou: coumaroyl, ac: acetate,
py: pyruvate

N.D. – not detected; C: control (no cluster thinning); CT1: 20-30 % cluster reduction; CT2: 40-50 % cluster reduction. TPC – total phenolic content (mg GAE/kg or mg GAE/L). PI – potential impact: ↑* or ↓* - potential increase or decrease among control and thinning treatments. ↑** or ↓** - potential increase or decrease in CT2 compared to C or CT1. The results are presented as mean ± standard error and as proportion (%) of each phenolic compound according to total value of associated phenolic group within individual treatment. Different letters in rows denote statistically significant differences (LSD test, p < 0.05) among treatments.

4. Phenolic composition of wine

Phenolic compounds were assessed in wines of the 2011 vintage (Table 4). CT significantly increased the content of several individual phenolic compounds in all four identified phenolic groups in comparison to the control. Caftaric acid was the major hydroxycinnamic acid (8.7 to 11.8 mg/L) identified in wine, followed by p-coumaroyl pentose (3.3 to 5.4 mg/L); the content of both significantly increased in CT2 vines, compared to the control (Table 4). On the other hand, the proportion of caftaric acid, regarding THCA, remained stable also in CT2, whereas that of p-coumaroyl pentose significantly increased by 6 % and t-coutaric acid decreased by 4 %.

Flavanols were the second most prevalent phenolic group in Blauer Portugieser wine, representing almost 43 % of analyzed phenolics. The major flavanol identified in wine was procyanidin dimer 2 (112 to 146 mg/L), representing 40 to 45 % of total flavanols, irrespective of the treatment (Table 4). Among flavanols, only procyanidin dimer 1 and epicatechin responded to CT, and their content and proportion significantly increased only in CT2 compared to the control. The content of procyanidin dimer 2 and procyanidin trimer was similarly increased in CT2; however, the proportion of procyanidin trimer remained stable and that of procyanidin dimer 2 significantly decreased.

In total, thirteen flavonols were identified and quantified in Blauer Portugieser wine, the most abundant being quercetin-3-glucuronide, laricitrin-3-glucoside, isorhamnetin-3-glucoside and myricetin-3-glucuronide. Only CT2 had a positive impact on the content of myricetin-3-glucoside, laricitrin-3-glucoside, quercetin-3-glucoside and quercetin-3-glucuronide, with CT1 showing less marked increases, and their proportion significantly increased in comparison with the control, with the only exception of quercetin-3-glucuronide, which decreased significantly after CT.

In addition, CT had a great impact on the content of individual and total anthocyanins (TAC) in wine (Table 4). TAC was significantly higher in both CT treatments compared to the control. The composition of individual phenolics in berry skin was slightly different to that of wine; five additional malvidin glycosides and peonidin-3-(6˝acetyl) glucoside were identified in Blauer Portugieser wine. On the contrary, delphinidin- and cyanidin-glycosides were not detected in wine. Malvidin-3-glucoside was the main anthocyanin, ranging from 156 to 199 mg/L and representing 62 to 65 % of TAC. Although CT did not affect the content of malvidin-3-glucoside, its relative proportion significantly decreased in CT vines. TPC in Blauer Portugieser wine was also affected by CT, with a significant increase in CT1 (1045 mg/L) and CT2 (1075 mg/L) treatments compared to the control wine (880 mg/L).

Discussion

1. Growth and yield potential

'Blauer Portugieser' is a vigorous variety and Reynolds et al. (2004) recommend a careful control of the number of buds and clusters per vine at winter pruning and in the growing season to ensure optimal yield and quality of grapes and wine. Growth and yield potential also depend on climatic conditions (temperature, precipitation, and sunshine hours), which delay or alter phenological stages, shorten their duration or interrupt differentiation (Jones and Davis, 2000). Bubola et al. (2011) reported that a smaller number of clusters left on the vine resulted in 18-57 % greater bunch weight of the remaining grapes of the 'Merlot' variety. This was not confirmed for our variety. Moreover, the same authors reported a 34 % decrease in average yield after cluster thinning. A similar pattern was observed in our study: yield decreased significantly by 27-43 % in CT2, especially in 2011 when the vines formed less buds and clusters. Calonnec et al. (2004) reported that pests and diseases greatly reduce the yield, but no pathogenic organisms have been recorded in the experimental vineyard. Therefore, the yield decrease in 2011 could also be due to lower average temperatures (21 °C) and above-average precipitation in July (approximately 175 mm), followed by extremely high temperatures and low rainfall (approximately 5 mm) in August (Fig. 1 and Fig. 2), which can cause economic losses (Jackson and Lombard, 1993; Gil et al., 2013). According to the rules of wine denomination - Metliška črnina (2008), the maximum yield of 'Blauer Portugieser' is limited to 11 t/ha as a five-year average yield, which seemed to be achieved only in the severe CT treatment (40-50 % cluster reduction).

2. Grape composition

Cluster thinning generally involves a considerable reduction in yield which potentially improves grape and wine quality and composition (Dokoozlian and Hirschfelt, 1995; Di Profio et al., 2011). Soluble solids content, titratable acidity and pH value still represent the main and basic parameters determining the optimal harvest time (Prajitna et al., 2007), which can be affected by climatic conditions in the growing season (Jones and Davis, 2000). Higher temperatures and precipitation during the ripening process (July and August) in our study might have affected soluble solids content and titratable acidity, especially in 2008 and 2011, when precipitation was above average in July (around 180 mm), compared to the long-term average (approximately 95 mm) (Fig. 1 and Fig. 2). Soil type can also impact vine development, soluble solids content, acidity and pH (Koundouras et al., 2006). Clay soil increases sugar accumulation and speeds the ripening process in comparison to gravel or sandy soil and may influence fruit ripening through mineral supply and water-holding capacity (Jackson and Lombard, 1993). A severe P205 deficit has been observed in the experimental vineyard (Leskošek, 1993) but Jackson and Lombard (1993) could not determine any direct relation between soil mineral supply and grape quality parameters. In general, CT affected grape composition of 'Blauer Portugieser', where soluble solids were generally higher in CT treatments in comparison to the control. On the contrary, titratable acidity in grape significantly decreased as a result of cluster reduction in two years of the study, which is in accordance with the report by Di Profio et al. (2011). Jackson and Lombard (1993) reported that the pH value of berry juice impacts the suitability and fermentation conditions of must, which was expected also in our study with CT, where significantly higher pH values were measured, compared to the control. Prajitna et al. (2007) showed an insignificant impact of cluster thinning on pH value, but it is known that a lower content of titratable acidity also results in higher pH value (Reynolds, 1989), which is in accordance with our results. Titratable acidity of 'Blauer Portugieser' grapes was much lower in all years/treatments compared to data reported by Pavloušek and Kumšta (2011). This could be explained by different climatic conditions, especially higher temperatures, which lead to acid degradation (Jackson and Lombard, 1993) or by the use of a different clone (Pavloušek and Kumšta, 2011). Berry skin colour is an important characteristic, especially for red grapevine varieties. It is directly affected by composition and content of phenolic compounds (Mazza et al., 1999) and is usually represented by colour intensity, tonality (hue) and CIRG index (Carreño et al., 1995). Colour intensity and tonality (hue) mostly depend on the variety and agronomical practices (Di Profio et al., 2011), cluster thinning (Ough and Nagaoka, 1984; Guidoni et al., 2002), water stress and terroir (Jones and Davis, 2000). The colour intensity of 'Blauer Portugieser' in the CT2 treatment reached values higher than that of 'Sangiovese' (Parpinello et al., 2015) and 'Tempranillo' (Gamero et al., 2014).

3. Wine composition

Many factors affect wine composition, the most important is certainly grape quality at harvest (Gil et al., 2013). Nowadays, the demand for less acidic, extract-rich wines is rising (Parpinello et al., 2015). Blauer Portugieser wine is characterized by an intense dark red colour and lower acidity and is mostly drunk young (Nemanič, 1999). On the other hand, a relatively high proportion of 'Blauer Portugieser' grape harvested in Slovenia is used for the production of PTP Metliška črnina (Rules of wine denomination - PTP Metliška črnina, 2008).

Although the Blauer Portugieser wine was produced only in 2011, we observed some interesting and significant differences in wine composition which could be attributed to CT, especially the content of alcohol, total acidity, total extract and volatile acidity. Moreover, alcohol content in CT2 exceeded the limit defined by the rules (11.5 vol. %), but the difference in alcohol content between the control and CT2 was just 1.5 vol. %. However, wine from the CT2 treatment still meets the current preferences for wines with lower alcohol content (Parpinello et al., 2015). Total acidity seemed to be significantly reduced by thinning, which is in accord with the report of Bubola et al. (2011) for Merlot wine. The Blauer Portugieser wine is known as less acidic (Nemanič, 1999; Shellie, 2007), a trait not observed in our study, where 6.2 g/L of total acidity was measured in the severe CT2 wine. However, all analyzed wine samples met the limits set for PTP Metliška črnina (5.5-7 g/L). Contents of total extract and volatile acidity significantly increased in CT2 and met the limits set for PTP Metliška črnina, where a maximum of 0.8 g/L of volatile acidity is permitted. The study suggests that CT, especially with 40-50 % cluster removal, has a remarkable impact on wine composition.

4. Phenolic composition of grape berries and wine

Phenolics are important bioactive compounds in berries and wine, and they play a great role in sensorial characteristics such as berry colour, aroma, flavour, taste and nutritional value (Rodríguez-Montealegre et al., 2006; Castillo-Mun͂oz et al., 2007). Moreover, these compounds are involved in preventing oxidation and stabilizing the colour of wine (Gómez-Plaza et al., 2000). Phenolic composition and contents are influenced by variety and vineyard practices (Mazza et al., 1999), plant status (Rusjan et al., 2012) and pedoclimatic conditions during ripening (Koundouras et al., 2006). In the present study, higher temperatures in August and September (Fig. 1) and low precipitation in August 2011 (Fig. 2) could have caused stress conditions to the vines, which usually result in increased phenolic accumulation (Koundouras et al., 2006).

Among the HCA group, caftaric acid was the most abundant in 'Blauer Portugieser' berry skin, followed by p-coumaroyl pentose. This is not in accordance with the report by Rodríguez-Montealegre et al. (2006), who found t-coutaric acid as the main HCA in several other red grapevine varieties. In general, higher contents of some individual and total HCA have been measured in 'Blauer Portugieser' berry skin compared to 'Cabernet Sauvignon', 'Merlot' and 'Shiraz' (Rodríguez-Montealegre et al., 2006). This can be attributed not only to the variety but also to the analytical methods used in the studies (Rusjan et al., 2012). Only the most severe CT significantly increased the content of caftaric acid and THCA and the content and proportion of p-coumaroyl pentose in berry skin and wine.

Flavanols are a group of phenolic compounds, contributing mostly to wine taste (Rodríguez-Montealegre et al., 2006). Total flavanols contents (TFA) seemed not to be affected by cluster thinning. The most abundant flavanols in grape skin were procyanidin trimer and catechin and in wine procyanidin dimer 2 and epicatechin (Table 4). This is not in agreement with Francesca et al. (2014). The content of catechin in 'Blauer Portugieser' berry skin was 8-fold higher than reported for 'Merlot' (Rodríguez-Montealegre et al. 2006), 5-fold higher than for 'Syrah' (Peña-Neira et al., 2007), and approximately 10-fold higher than for 'Cabernet Sauvignon' (Lorrain et al., 2011), which can be assigned to varietal characteristics. Only CT2 significantly affected catechin content in berry skin. In wine, CT2 significantly decreased the percentage of catechin and procyanidin trimer among TFA. Furthermore, higher contents of TFA have been measured in grape compared to wine of 'Blauer Portugieser', which can be linked to the degradation of the skin cell wall by pectolytic enzymes and greater permeability of the cell wall during vinification (Ortega-Regules et al., 2006). Moreover, a lower TFA in wine could be also attributed to lower alcohol contents and shorter maceration time, which, according to González-Manzano et al. (2004), has a great impact on flavanol extraction from skin to wine. The contents of flavanols in Blauer Portugieser wine are comparable to the data on Blauer Portugieser wine reported by Pour-Nikfardjam et al. (2006).

Flavonols are a group of phenolic compounds with a role in antioxidant activity and as UV screening copigments (UV-A and UV-B). In red wines they are usually masked by anthocyanin pigments (Castillo-Mun͂oz et al., 2007). Fang et al. (2013) reported that the presence and amount of individual flavonols depend on berry development and maturity, and that ripe berries contain higher levels of quercetin and myricetin. This was partly confirmed in our study. Among flavonols, quercetin-3-glucuronide, quercetin-3-glucoside and myricetin-3-glucoside were the most abundant in grape skin. In Blauer Portugieser wine, quercetin-3-glucuronide, laricitrin-3-glucoside and myricetin-3-glucoside prevailed. This is comparable to the data of Castillo-Mun͂oz et al. (2007) for 'Cabernet Sauvignon', 'Merlot' and 'Syrah'. According to the proportion of TFO, CT significantly increased three of the sixteen identified flavonols in grape and four of the thirteen identified flavonols in wine of 'Blauer Portugieser'. On the other hand, we have to underline that flavonol accumulation in berry skin mostly depends on the exposure of clusters to sunlight and that shaded clusters usually contain lower levels of flavonols, as reported by Price et al. (1995) and Castillo-Mun͂oz et al. (2007). Additionally, Price et al. (1995) reported a 10-fold higher flavonol content in sunlight-exposed clusters of 'Pinot Noir', compared to shaded ones. CT provides higher sunlight exposure of clusters, as leaves in the bunch zone are removed (Reynolds et al., 2004). Consequently, flavonol contents are higher in exposed clusters, which was also observed in our study, especially in CT2. Furthermore, a 1- to 2-fold higher TFO content has been determined in berries of 'Blauer Portugieser' compared to 'Malbec' after CT at the pea-size phenological stage (Fanzone et al., 2011). Similarly, Makris et al. (2006) reported lower levels of quercetin and myricetin glycosides (by 16 to 35 mg/kg) in red berry skin compared to our results, especially in grapes from CT vines.

Anthocyanins are the main group of red pigments and copigments in ripening grape of red grapevine varieties (Mazza et al., 1999) directly affecting the colour and sensorial attributes of wine (Gao et al., 1997; Heredia et al., 1998). In general, the contents of the analyzed anthocyanins in grape and wine are in agreement with the anthocyanin content reported in Portugieser wine by Pour-Nikfardjam et al. (2006) and in other varieties by Lorrain et al. (2011). Glycosylated malvidin, petunidin, peonidin, cyanidin and delphinidin compounds are often present in V. vinifera L. grapes and wine (Mazza et al., 1999; García-Beneytez et al., 2002). This was confirmed in 'Blauer Portugieser' berry skin, but in wine delphinidin and cyanidin glycosides were not identified, which can be attributed to varietal characteristics (García-Beneytez et al., 2002). On the other hand, five different malvidin glycosides were identified and quantified in Blauer Portugieser wine that were not present in berry skin. Similarly, Revilla et al. (1999) reported several anthocyanin compounds in berry skin but not in wine. Gao et al. (1997) reported that the most abundant anthocyanins in grape and wine are malvidin-3-glucoside and their acetylated and coumaroylated glycosides, which was also observed in our study, especially in control grape and wine from CT treatments. Furthermore, King et al. (2012) claimed that the proportion of malvidin-3-glucoside regarding TAC significantly increased in wine from CT vines, which is not in accordance with our results. Nevertheless, we have to underline that the proportion of malvidin-3-glucoside acetate, malvidin-3-glucoside pyruvate, malvidin-3-(6˝-p-coumaroyl) glucoside and malvidin-3-(6˝-p-coumaroyl) glucoside pyruvate was significantly increased in wine produced from CT treatments. Severe CT significantly increased TAC (8.3 g/kg) in 'Blauer Portugieser' berry skin. It contained higher levels compared to 'Syrah' (Peña-Neira et al., 2007) or 'Merlot' (Bubola et al., 2011) berry skin subjected to CT. Río Segade et al. (2008) reported a decline of phenolic concentration in berry skin after phenolic maturity, which has been observed also in our study with CT. A reduction in wine anthocyanin content was observed compared to berry skin, which is in accordance with a report by Rodríguez-Montealegre et al. (2006). The amount of extracted phenolics during vinification mostly depends on berry skin cell wall composition and thickness, pectin degradation, alcohol content and maceration period (González-Manzano et al., 2004). Pectin and cellulose, the main components of the cell wall, are degraded by pectinase during the ripening and vinification processes and the result is the release of phenolics into the must (Río Segade et al., 2008). CT could have modified the ripening process of the berries and indirectly influenced the cell wall composition of berry skin. The 'Blauer Portugieser' variety is characterized by high contents of phenolics; therefore, the produced wines are richer in health-promoting compounds (Pour-Nikfardjam et al., 2006). Cluster thinning significantly altered TPC of Blauer Portugieser wine and a similar response has also been reported by Fanzone et al. (2011). Heredia et al. (1998) reported that wine colour is firstly conditioned by the composition and the content of anthocyanins and secondly by pH, and that anthocyanins in a pH lower than 4.0 yield red to blue tonality (malvidin – red-purple hues, petunidin – purple hues, delphinidin – pink hues, and peonidin – blue-purple hues). Hermosín-Gutiérrez et al. (2005) reported that the intense purple-blue tonality of Cabernet Sauvignon wine could be influenced by delphinidin and peonidin contents in grape skin. Anthocyanin polymers are namely less resistant to browning and red colour fading caused by higher pH (Mazza et al., 1999). Acetylated and coumaroylated forms of malvidin and peonidin have been detected in the skin of 'Blauer Portugieser' and in a wider range in wine, which influences the colour of wine (Lorrain et al., 2011). The changes in the proportion of anthocyanins in terms of TAC of 'Blauer Portugieser' suggest that severe CT causes a more purple-blue grape and wine colour compared to the control. However, anthocyanins in berry skin are usually found as monoglycosides, but in must and wine they form into polymeric complexes. Consequently, the tonality of wine is difficult to predict (Gao et al., 1997).

Conclusions

Research findings indicated that the impact on yield and grape and wine composition of cluster thinning should not be generalised to all grapevine varieties. Only severe cluster thinning significantly reduced yield (per vine and per hectare) and increased soluble solids content in grape and pH and total extracts in wine. The first report of the detailed profile of phenolics in 'Blauer Portugieser' suggests that anthocyanins prevail in berry skin and wine, followed by flavonols and flavanols in berry, and flavanols and flavonols in wine. Only severe cluster thinning significantly increased the contents of total anthocyanins, flavonols, hydroxycinnamic acids, but not flavanols, in grape and wine. On the other hand, severe cluster thinning modified the proportion of individual phenolics in the corresponding phenolic group, especially of anthocyanins in grape and wine, flavonols in grape, and flavanols in wine. The most abundant hydroxycinnamic acids in 'Blauer Portugieser' grape and wine were caftaric acid and p-coumaroyl pentose. Their contents significantly increased following CT2. Severe cluster thinning significantly increased the content and the proportion of catechin in berry skin, and epicatechin and procyanidin dimer 1 in wine. Severe cluster thinning caused several alterations in the flavonol group, especially in wine, where contents and proportions of 3-glucosides of myricetin, laricitrin and quercetin significantly increased. An interesting response of the most abundant flavonol in berry skin and wine (i.e., quercetin-3-glucuronide) was detected after CT2. The content of quercetin-3-glucoside significantly increased, but the proportion regarding TFO decreased. CT also affected the levels of individual anthocyanins, but the response was quite different in berry skin compared to the wine. Severe cluster thinning significantly increased the contents and proportions of 3-glucosides of delphinidin, petunidin and peonidin in berry skin but not in wine. However, cluster thinning significantly increased the amounts and proportions of most identified malvidin-acetylated and coumaroylated glycosides in wine. The results of the study encourage producers of 'Blauer Portugieser' grape and wine to perform severe cluster thinning at pea-size berry phenological stage, so as to enhance grape and wine quality, setting aside the lower yield per vine.


Acknowledgments: This work is part of the Horticulture No. P4-0013-0481 program funded by the Slovenian Research Agency. We would like to express special gratitude to Mr. Branko Kordič for coordination of the research.

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Authors


Jan Reščič

Affiliation : Chair for Fruit Growing, Viticulture and Vegetable Growing, Agronomy Department, Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, SI-1000 Ljubljana, Slovenia

jan.rescic@bf.uni-lj.si

Maja Mikulič-Petkovšek

Affiliation : Chair for Fruit Growing, Viticulture and Vegetable Growing, Agronomy Department, Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, SI-1000 Ljubljana, Slovenia


Franci Štampar

Affiliation : Chair for Fruit Growing, Viticulture and Vegetable Growing, Agronomy Department, Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, SI-1000 Ljubljana, Slovenia


Anka Zupan

Affiliation : Chair for Fruit Growing, Viticulture and Vegetable Growing, Agronomy Department, Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, SI-1000 Ljubljana, Slovenia


Denis Rusjan

Affiliation : Chair for Fruit Growing, Viticulture and Vegetable Growing, Agronomy Department, Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, SI-1000 Ljubljana, Slovenia

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