Universitat Politècnica de València, Dept. Producción Vegetal. Camino de Vera s/n. 46022 Valencia, Spain.
Universitat Politècnica de València, Dept. Ingeniería Rural y Agroalimentaria. Camino de Vera s/n. 46022 Valencia, Spain.
Abstract Aim of study: Six thinning treatments were studied to improve the chemical composition and quality of grapes of cv. ‘Shiraz’ under two vine architectures (vase and trellis). Area of study: Spain (from 2015 to 2016). Material and method: The following thinning treatments were applied during four consecutive crop seasons: T0, control; T1, removal of 33% of the clusters (75 BBCH stage); T2, removal of 33% of the clusters (85 BBCH stage); T3, removal of the leaves at the base of the branches; T4, removal of the leaves at base of the branches together with removal of 33% of the clusters; T5, grouping of green branches; and T6, grouping of green branches and removal of 33% of the clusters. Main results: All the treatments increased the luminosity and degree of polymerization, improving the color intensity and stability in the wines. In the musts, the levels of phenolic compounds (from 48.0 and 46.7 mg L-1 in T0 trellis and vase, respectively, to 66.8 and 68.9 mg L-1 in T6 trellis and vase, respectively), anthocyanins and sugars (from 22.0 and 22.1 mg L-1 in T0 trellis and vase, respectively, to 24.3 mg L-1 in T6 trellis and vase), were considerably improved. Research highlights: Treatments T6 and T4 reported the best results. Branch grouping was more efficient than leaf removal regarding the contents of phenolic compounds. With respect to vine architecture, the results point out small differences, but we recommend the application of the treatments, mainly T4 and T6, under vase architecture. The season effect was mainly observed in the fourth year, probably due to the climatic conditions. Additional key words: indigenous cultivars; ampelography; Shiraz wine; cultivation techniques; Spanish wines Abbreviations used: DP (degree of polymerization), PCA (Principal component analysis); TPC (total phenols content) Authors’ contributions: Conception or design: DMS, BVM, ILC. Coordinating the research project: DMS. Acquisition, analysis, or interpretation of data; and obtaining funding: ILC, DMS. Statistical analysis, drafting and critical revision of the manuscript for important intellectual content: BVM. Administrative, technical, or material support: ILC. Supervising the work: DMS, BVM. Citation: Salazar, DM; Velázquez-Martí, B; López-Cortés, I (2021). Vine architecture and production control measures to improve the quality of the wine from Shiraz variety (Vitis vinifera L.). Spanish Journal of Agricultural Research, Volume 19, Issue 4, e0908. https://doi.org/10.5424/sjar/2021194-18313. Received: 3 May 2021. Accepted: 23 Nov 2021. Copyright © 2020 INIA. This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC-by 4.0) License. Funding: The authors received no specific funding for this work. Competing interests: The authors have declared that no competing interests exist. Correspondence should be addressed to Isabel López-Cortés: islocor@upv.es |
CONTENTS |
One of the most important and prosperous areas of research in viticulture is the creation of well-differentiated wines together with the overall improvement of wine quality, by employing ampelography in indigenous cultivars. In the Comunidad Valenciana (East of Spain) ‘Shiraz’ is one of the most important varieties grown for wine production, totalizing a cultivated area of 76,138 ha in the region, and is the third most important red variety in Spain. Its importance is also noticed in other regions, being present in Corsica, South of Italy, and Sicily.
Canopy management and vine architecture are two crucial aspects regarding the quality of grapevine and of the resulting wine (Bordelon et al., 2008; Pascual et al., 2015; Ames et al., 2016). The ‘Shiraz’ variety has been traditionally grown in vase architecture, but recently, its cultivation has been conducted in trellis. Regarding canopy management, thinning can be used to improve wine quality (Bahar & Yasasin, 2010; Soufleros et al., 2011). Such principles and practices are intended to optimize sunlight interception, thus improving the photosynthetic capacity and yield, mainly in vigorous and shaded vineyards (Smart et al., 1990). Thinning techniques also have a positive influence in the evolution of the aromatic components of musts and wines (Dami et al., 2006; Diago et al., 2010; Sun et al., 2012).
Nevertheless, up to now, different thinning practices in the ‘Shiraz’ variety have not been evaluated and compared. Thinning is a usual practice which consists of removing leaves or clusters to control the quality of the production. The best time to carry out this practice as well as its respective intensity are difficult to define since they vary according to the vine variety. In addition, thinning is influenced by many factors, such as irrigation, fertilization, crop architecture, soil characteristics, and climate (Kamiloğlu, 2011). For these reasons, several studies have been carried out worldwide in order to determine the optimal conditions of adjustment to the different varieties and production conditions (Guidoni et al., 2002; Naor et al., 2002; Tardaguila et al., 2008; Filippetti et al., 2011).
‘Shiraz’ is one of the varieties with more aromatic attributes (Sánchez, 1999). The wines produced from this variety are usually red, both young and reserves, as well as rose. Basic quality variables in red wines from ‘Shiraz’ are, for instance, the high alcohol content and high content of anthocyanins with balanced polyphenols to achieve high stable color intensity. In rose wines, another characteristic is the high luminosity (L coordinate HunterLab) (Sánchez, 1999).
Therefore, the present work is intended to study the type of architecture (vase and trellis) and best period to perform the thinning treatment, focusing on the improvement of the oenological characteristics and quality of wines from the ‘Shiraz’ variety in rainfed grapevines during four consecutive crop seasons.
Plant material and studied location
In the present work, we studied vines from the ‘Shiraz’ variety (Vitis vinifera L.), previously characterized following the ampelographic rules of the UPOV TG 50/9 and Salazar & López-Cortés (2010). Overall, six leaf and fruit thinning treatments and one control treatment were evaluated to improve wine quality in two vine architectures: vase and trellis. The six treatments applied were the following: T0, control; T1, removal of 33% of the clusters (75 BBCH stage); T2, removal of 33% of the clusters (85 BBCH stage); T3, removal of the leaves at the base of the branches; T4, removal of the leaves at the base of the branches together with removal of 33% of the clusters; T5, grouping of green branches; and T6, grouping of green branches and removal of 33% of the clusters (Table 1).
The plots containing the vines grown under vase architecture were grafted on rootstock 41B (about 30 years old). Plantations established in trellis were on rootstock 110 R (25 years old). The study was conducted over four consecutive seasons, between 2012-2013 and 2015-2016, in Utiel-Requena, which is a typical vineyard area in the Spanish Mediterranean East. Climatic data of the evaluated crop seasons is shown in Table 2. The crop system usually applied in the studied area is rain-fed and therefore, the study was conducted in these conditions. Each treatment was performed in three linear blocks randomly distributed within the test plot. Each tested block was composed of forty vines, totalizing 120 vines per treatment.
In the thinning techniques tested, the most important quality characteristics were measured. For this purpose, samples were weekly collected from 10 consecutive vines of the different treatments tested. The samples (between six and eight) were characterized according to the procedures set by Bidan (1978) and summarized by Blouin & Guimberleau (2004).
− Total soluble solids (ºBrix) were measured by refractometry (Atago Atago WM-7 and 1T).
− Anthocyanins contents were measured following the method described by Ribereau-Gayon et al. (1999).
− Polyphenols contents (TPC) were determined according to the method described by Ribereau-Gayon et al. (1999) at 280 nm and a conversion factor of 0.08 was applied to quantify the total phenols content (TPC × 0.08).
− Color intensity was measured by absorbance readings at 420, 520 and 620 nm, according to the technique described by Glories (1984).
− The degree of polymerization (DP) was obtained after two spectrophotometric readings at 520 nm, the first reading being carried out in the recently produced must, and the second reading two hours after the application of potassium metasulfite 4 o/ oo, being for the detection of discoloration (Ruiz, 2001).
The possible effects of the treatments tested in the ‘Shiraz’ clusters and grapes were also verified. Therefore, 100 grapes and 10 clusters were individually weighed in each sample.
Table 1. Treatments applied to the vineyards during the four crop seasons studied.
[1] In the trellis architecture, a thermal defoliation machine was used for eliminating the two or three basal leaves; in the vase
architecture, manual leaf elimination was applied. [2] In the trellis architecture, the grouping was conducted in two axes; in
the vase architecture, the grouping of green branches was conducted in a single vertical axis.
Statistical analysis
Analysis of variance
An analysis of variance (ANOVA) with Type III sums of squares was performed using the GLM (General Linear Model procedure) of SPSS software, vers. 22.0 (IBM Corporation, New York). The fulfilment of ANOVA requirements, namely the normal distribution of the residuals and the homogeneity of variance, were evaluated by means of the Kolmogorov-Smirnov with Lilliefors correction (if n>50) or the Shapiro-Wilk`s test (if n<50), and the Levene´s tests, respectively. All the dependent variables were analyzed using a one-way ANOVA with or without Welch correction, depending on whether the requirement of homogeneity of variances was fulfilled or not. If a statistically significant effect was found, means were compared using Tukey´s honestly significant difference multiple comparison test or Dunnett T3 test, also depending on whether equal variances could be assumed or not. All the statistical tests were performed at a 5% significance level.
Principal component analysis
A principal component analysis (PCA) was applied for reducing the number of variables to a smaller number of new derived variables (principal component or factors) that adequately summarize the original information. Five variables corresponding to sugars, anthocyanins, polyphenols, berries, and clusters weights were used in PCA. The PCA was performed by using SPSS software, vers. 22.0 (IBM Corporation, New York).
Vine architecture and crop-regulation techniques, such as cluster thinning, leaves removal and branch grouping, influenced the grapes content of sugars, anthocyanins, and polyphenols as well as the berries and clusters weight (Table 3; Figs. 1 and 2). The DP and luminosity of the musts obtained were also influenced by the studied treatments (Fig. 1). From the results obtained, it was observed that the crop-regulation techniques applied caused a higher impact on the variables studied than that of the vine architecture. We also observed that the influence of the crop season was reduced in the entire study, showing that the results were consistent mainly in the first three crop seasons considered (2012-2013, 2013-2014, and 2014-2015). In the fourth season (2015- 2016), a reduction was found in the values of all the treatments studied, possibly related to the climatic conditions (Table 2).
In the four crop seasons studied, the berries and clusters weight increased in all the crop-regulation techniques applied (Fig. 1), with the only exception of T3 (basal leaf removal) (Table 3). In both vine architectures, the berries weight was higher in T6 (grouping of branches and removal of 33% of clusters) with 2.18 g and 2.31 g (trellis and vase, respectively). Regarding the clusters weight, treatment T2 (removal of 33% of the clusters) reported the highest weight in trellis (483 g). In the case of vase architecture, treatment T4 (removal of basal leaves and 33% of the clusters) reported the highest cluster weight (456 g). These results are in line with those obtained by other authors (Gatti et al., 2012; Gil et al., 2013; Bogicevic et al., 2015). These authors reported higher berries and clusters weights with cluster thinning, and a reduction with vine defoliation. This is a compensation response from the vines. With clusters thinning, the vines can redistribute the available resources among a small number of clusters and grapes, improving their nutrition and consequent development.
As in the case of berries and clusters weight, the DP (Fig. 1C) and luminosity (Fig. 1D) of the obtained musts also increased with the different crop-regulation techniques studied, regardless of the vine architecture. The DP of the musts was higher with treatment T4 (Fig. 1C) in both vine architectures. Regarding musts luminosity, it was higher in treatments T3 to T6 in both architectures, while T1 and T2 (removal of 33% of the clusters at 75 and 85 BBCH, respectively) did not considerably influence this variable (Fig. 1D). The increase of DP is mainly related to the composition of grapes, namely the phenolic compounds. As we will report ahead, the different crop-regulation treatments also caused an increase in phenolic compounds. Since the DP is the polymerization and association of phenolic molecules, including tannins and anthocyanins, its values also increased with the higher levels of phenols (Table 3). The increase in the polymerization degree and luminosity improves the stability and intensity of wines color but they can also contribute to a higher astringency and bitterness (González-Manzano et al., 2006).
Regarding sugars, anthocyanins, and polyphenols, treatment T6 (grouping of green branches, and removal of 33% of the clusters) followed by T4 (removal of the leaves at the base of the branches and removal 33% of the clusters) caused a higher increase in the contents. On average, in the four crop seasons studied, sugars contents increased from 22.0 mg/L in T0 to 24.3 mg/L in T6 (trellis), and from 22.1 mg/L in T0 to 24.4 mg/L in T6 (vase). Regarding anthocyanins, the same pattern was observed for vines grown under trellis architecture. Anthocyanins contents increased from 617 mg/L in T0 to 787 mg/L in T6 (trellis). In vase architecture, anthocyanins increased from 536 mg/L to 802 mg/L for T0 and T4, respectively (Table 3). With respect to polyphenols the same pattern was observed in both vine architectures. Polyphenols increased from 48.0 mg/L (T0) to 66.8 mg/L (T6) in trellis, and from 46.7 mg/L (T0) to 68.9 mg/L (T6) in vase vines (Table 3).
In Fig. 2, the data distribution allows perceiving the impact of treatments T6 and T4 in the contents of sugars (Fig. 2A), anthocyanins (Fig. 2B), and polyphenols (Fig. 2C) of ‘Shiraz’ grapes. Such results are in line with those obtained in several grape varieties and crop-regulation techniques, mostly cluster thinning. Gatti et al. (2012) also found an increase in soluble solids (ºBrix), phenols and anthocyanins in ‘Sangiovese grapes’, while Guidoni et al. (2002) improved anthocyanins content in the skin of grapes from the variety ‘Nebbiolo’.
The considerable increase in polyphenols contents in treatments T4 and T6 could be attributed to the balance between the leaf surface area and fruit. The removal of leaves or the grouping of branches result in the increase of substrates necessary for the synthesis of phenolic compounds (Prajitna et al., 2007). Also, the higher exposure of the cluster-thinned grapevines to sunlight enhances the production of substrates that in turn enhance the activity of the phenylalanine ammonia lyase, an enzyme involved in the biosynthesis of phenolic compounds in grapes (Chen et al., 2006).
To verify the impact of the crop-regulation techniques studied on the changes inflicted on the grapes, the data were analyzed by PCA. Figure 3 shows the analysis of sugars, anthocyanins, phenolic compounds and berries and clusters weights per crop season, and the differentiation between the treatments applied can clearly be seen. In the first three crop seasons studied (2012-2013, 2013-2014, and 2014-2015), it is visible that those samples from T4 and T6 were represented in the positive region of PC1. In the same region, and for the same three crop seasons, all the variables studied were represented. This means that in general, the higher values were obtained for these two treatments (T4 and T6; Fig. 3). However, in the last crop season studied (2015-2016), there was a noticeable differentiation of those samples from T4 in vase architecture, which reported higher values concerning anthocyanins, berries and clusters weight. In the four crop seasons studied, the control samples (treatment T0) were always represented in the extreme opposite region of the variables studied (Fig. 3). This means that grapes from the control treatment reported lower values, thus highlighting that the crop-regulation techniques improved the grapes composition, berries, and clusters weight, and consequently the musts DP and luminosity.
Such crop-regulation treatments influence grapes composition, which will change the final composition and quality of the wine. For instance, Gil et al. (2013) were able to obtain wines from Syrah variety with greater polyphenols, flavonols, proanthocyanidins and polysaccharide concentrations, and lower titratable acidity. These wines originated from grapes whose vines were submitted to cluster thinning. Using similar cluster thinning techniques, Prajitna et al. (2007) also improved the amounts of polyphenols, anthocyanins, and resveratrols in wines from the ‘Chambourcin’ variety, improving the antioxidant properties as well. Condurso et al. (2016) were able to improve grapes and wine polyphenol contents as well as volatile fraction through cluster thinning, thus improving the overall quality of the wine obtained.
In summary, the data obtained allowed concluding that treatment T6, i.e., grouping of green branches and removal of 33% of the clusters, produce ‘Shiraz’ grapes with higher levels of anthocyanins, polyphenols, and sugars, which will possibly result in better-quality wines. The removal of 33% of the clusters alone also increased these components levels, but the effect in higher when applied in combination with grouping of branches. We also concluded that cluster thinning is more effective if applied at the 75 BBCH stage (T1) rather than at the 85BBCH stage (T2), mainly regarding sugars content. It was also concluded that all the treatments applied improved the luminosity and degree of polymerization when compared to control. Therefore, the stability and intensity of wines color may be increased as well. Another conclusion drawn from the study was that grapes characteristics and musts composition were not considerably influenced by the crop season or by the vine architecture. Nevertheless, based on the overall results, we would recommend the application of treatments T4 and T6 in the vase architecture, to improve the quality of grapes and wines from cv. ‘Shiraz’.
Table 2. Climatic data of the evaluated crop seasons
[1] Reserve period: between October and February. [2] Vegetative period: between March and September.
Table 3. Influence of treatment, crop season, and vine architecture in the chemical composition of grapes (sugars, anthocyanins, and polyphenols) and in the berries and clusters weight.
Figure 1. Boxplot of physico-chemical characteristics of grapes and musts from the ‘Shiraz’ variety grown under different thinning
treatments and vine architecture. A, berries weight; B, clusters weight; C, degree of polymerization; D, luminosity
Figure 2. Boxplot of chemical composition of grapes from the
‘Shiraz’ variety grown under different thinning treatments and
vine architecture. A, sugars; B, anthocyanins; C, polyphenols
Figure 3. Principal component analysis of the data obtained according to the treatment applied and the vine architecture studied per
crop season. The principal component analyses explain 70.6% (2012-2013), 78.7% (2013-2014), 78.7% (2014-2015), and 65.1%
(2015-2016) of the total variance. A, sugars; B, anthocyanins; C, phenolic compounds; D, berries weight; E, clusters weight.
○ | Ames ZR, Olmstead M, Sims C, Darnell R, 2016. Effect of shoot and cluster thinning on vine performance, fruit and wine quality of 'Blanc Du Bois'. J Am Pomol Soc 70: 2-15. |
○ | Bahar E, Yasasin AS, 2010. The yield and berry quality under different soil tillage and clusters thinning treatments in grape (Vitis vinifera L.) cv. Cabernet-sauvignon. Afr J Agric Res 5: 2986-2993. |
○ | Bidan NP, 1978. Critères oenologiques pour l'evaluation des essays Viticoles. Bull de l'OIV 51: 891-913. |
○ | Blouin J, Guimberleau G (eds), 2004. Maduración y madurez de la uva. Ed. Mundi-Prensa, Spain |
○ | Bogicevic M, Maras V, Mugoša M, Kodžulović V, Raičević J, Šućur S, Failla O, 2015. The effects of early leaf removal and cluster thinning treatments on berry growth and grape composition in cultivars Vranac and Cabernet Sauvignon. Chem Biol Tech Agric 2: 13. https://doi.org/10.1186/s40538-015-0037-1 |
○ | Bordelon BP, Skinkis PA, Howard PH, 2008. Impact of training system on vine performance and fruit composition of Traminette. Am J Enol Vitic 59: 39-46. |
○ | Chen JY, Wen PF, Kong WF, Pan QH, Zhan JC, Li JM, et al., 2006. Effect of salicylic acid on phenylpropanoids and phenylalanine ammonia-lyase in harvested grape berries. Postharv Biol Technol 40: 64-72. https://doi.org/10.1016/j.postharvbio.2005.12.017 |
○ | Condurso C, Cincotta F, Tripodi G, Sparacio A, Giglio DML, Sparla S, Verzera A, 2016. Effects of cluster thinning on wine quality of Syrah cultivar (Vitis vinifera L.). Eur Food Res Technol 242: 1719-1726. https://doi.org/10.1007/s00217-016-2671-7 |
○ | Diago MP, Vilanova M, Blanco JA, Tardaguila J, 2010. Effects of mechanical thinning on fruit and wine composition and sensory attributes of Grenache and Tempranillo varieties (Vitis vinifera L.). Aust J Grape Wine Res 16: 314-326. https://doi.org/10.1111/j.1755-0238.2010.00094.x |
○ | Filippetti I, Allegro G, Valentini G, Pastore C, Poni S, 2011. Effects of mechanical pre-bloom defoliation on Cordon de Royat pruned Sangiovese (Vitis vinifera L.) vines. J Int Sci Vigne Vin 45: 19-25. https://doi. org/10.20870/oeno-one.2011.45.1.1480 |
○ | Gatti M, Bernizzoni F, Civardi S, Poni S, 2012. Effects of cluster thinning and preflowering leaf removal on growth and grape composition in cv. Sangiovese. Am J Enol Vitic 63: 325-332. https://doi.org/10.5344/ajev.2012.11118 |
○ | Gil M, Esteruelas M, González E, Kontoudakis N, Jiménez J, Fort F, et al., 2013. Effect of two different treatments for reducing grape yield in Vitis vinifera cv Syrah on wine composition and quality: berry thinning versus cluster thinning. J Agric Food Chem 6: 4968- 4978. https://doi.org/10.1021/jf400722z |
○ | Glories Y, 1984. La couleur des vins rouges. Connaiss Vigne et Vin 18: 185-217. https://doi.org/10.20870/oeno-one.1984.18.3.1751 |
○ | González-Manzano S, Santos-Buelga C, Pérez-Alonso JJ, Rivas-Gonzalo JC, Escribano-Bailón MT, 2006, Characterization of the mean degree of polymerization of proanthocyanidins in red wines using liquid chromatography-mass spectrometry (LC-MS). J Agric Food Chem 54: 4326-4332. https://doi.org/10.1021/jf060467e |
○ | Guidoni S, Allara P, Schubert A, 2002. Effect of cluster thinning on berry skin anthocyanin composition of Vitis vinifera cv. Nebbiolo. Am J Enol Vitic 53: 224-226. |
○ | Kamiloğlu O, 2011. Influence of some cultural practices on yield, fruit quality and individual anthocyanins of table grape cv. 'Horoz Karasi'. J Anim Plant Sci 21: 240-245. |
○ | Naor A, Gal Y, Bravdo B, 2002. Shoot and cluster thinning influence vegetative growth, fruit yield, and wine quality of Sauvignon blanc grapevines. J Am Soc Hortic Sci 127: 628-634. https://doi.org/10.21273/JASHS.127.4.628 |
○ | Pascual M, Romero MP, Rufat J, Villar JM, 2015. Canopy management in rainfed vineyards (cv. Tempranillo) for optimizing water use and enhancing wine quality. J Sci Food Agric 95: 3067-3076. https://doi.org/10.1002/jsfa.7342 |
○ | Prajitna A, Dami IE, Steiner TE, Ferree DC, Scheerens JC, Schwartz SJ, 2007. Influence of cluster thinning on phenolic composition, resveratrol, and antioxidant capacity in Chambourcin wine. Am J Enol Vitic 58: 346-350. |
○ | Ribereau-Gayon P, Glories Y, Maujen A, Dubourdieu D, 1999. Handbook of enology. Vol. 2. The chemistry of wine stabilization and treatments. John Wiley & Sons, Chichester. |
○ | Ruiz M, 2001. Indice de maduración de uva tinta. Semana Vitivinícola 2884: 4006-4007. |
○ | Salazar DM, López-Cortés I, 2010. Ampelografía básica de Vitis vinífera L. Editorial UPV, Valencia. |
○ | Sánchez S, 1999. Caracterización de mostos y vinos de variedades tintas de la D.O. Utiel-requena, tomando como base los elaboradores de la cooperativa vinícola requenense. Doctoral tesis, Univ. Politécnica, Valencia, Spain |
○ | Smart RE, Dick JK, Gravett JM, Fisher BM, 1990. Canopy management to improve yield and wine quality - principles and practices. S Afr J Enol Vitic 11: 3-17. https://doi.org/10.21548/11-1-2232 |
○ | Soufleros EH, Stavridou K, Dagkli V, 2011. The effect of cluster thinning on phenolic maturity of Vitis vinifera cv. Xinomavro grapes. J Int Sci Vigne Vin 45: 171-179. https://doi.org/10.20870/oeno-one.2011.45.3.1498 |
○ | Sun Q, Sacks GL, Lerch SD, Heuvel JEV, 2012. Impact of shoot and cluster thinning on yield, fruit composition, and wine quality of Corot noir. Am J Enol Vitic 63: 49- 56. https://doi.org/10.5344/ajev.2011.11029 |
○ | Tardaguila J, Petrie PR, Poni S, Diago MP, De Toda FM, 2008. Effects of mechanical thinning on yield and fruit composition of Tempranillo and Grenache grapes trained to a vertical shoot-positioned canopy. Am J Enol Vitic 59: 412-417. |