Original research articles

Effects of kaolin-based particle film and fruit zone netting on Cabernet Sauvignon grapevine physiology and fruit quality


Aims: Long exposure to high temperatures or UV-radiation may induce negative effects on vine physiology and grape composition. Here, the effects of two methods to moderate radiation and temperature in the fruit zone of a Cabernet Sauvignon vineyard were evaluated against a control.

Methods and results: The treatments assessed were: (a) periodical spraying of kaolin on leaves and bunches and (b) fruit zone netting with a Raschell’s type mesh. The kaolin-based treatment increased the reflectance of light and moderately reduced fruit temperature (~1ºC below the control), whilst the shading net caused a significant reduction in radiation and temperature in the fruit zone (~7ºC below the control). The Net treatment showed lower (more negative) stem water potential values than the control, but did not persist until the end of the trial. Also, none of the treatments led to significant changes in stomatal conductance, transpiration or CO2 assimilation throughout the season. However, the incidence and severity of fruit dehydration was significantly lower in the treated plants compared to the control. Finally, no differences in fruit chemical composition were observed between the treatments and the control.

Conclusion: Under the conditions of this trial, both treatments tested were sufficient in moderating the negative effects of excess radiation or high temperature on grape berries.

Significance and impact of the study: Kaolin-based particle spraying and fruit zone netting were proved to be feasible practical alternatives to lessen the negative effects of excess radiation or high temperature on grape berries, under hot climate.


Solar radiation and temperature are essential for vine metabolism and are known to affect grape composition, yet can be harmful when in excess (Bergqvist et al., 2001; Spayd et al., 2002). Although difficult to assess independently from temperature, moderate amounts of photosynthetically active radiation (PAR) in the fruit zone (≤ 100 mmol m-2 s-1) have been correlated with increased soluble solids and phenolics, and reduced titratable acidity and malic acid (Bergqvist et al., 2001; Dokoozlian and Kliewer, 1996). Conversely, higher PAR values are linked with more transpiration and fruit dehydration, coupled with reductions in berry mass and size (Bergqvist et al., 2001). Furthermore, if either radiation or temperature is excessive, tissue damage could be observed (Dokoozlian and Kliewer, 1996; Spayd et al., 2002).

To date, several practices have been used to moderate the effects of excessive radiation or temperature in wine grapes, including canopy management and the use of shading nets. These practices have also been reported to reduce plant temperature, soluble solids, anthocyanin accumulation, and stomatal conductance (Chorti et al., 2010; Iacono et al., 1995; Lobos et al., 2009 and 2012). As these practices can be labor consuming, the use of alternatives such as reflective particle films might be interesting. The most common material used for this purpose is kaolin, a white clay based on layered aluminum silicate, capable of leaving a thin deposit on the surface of the fruit, thus allowing an upsurge in light reflectance (Yazici and Kaynak, 2009). In apple trees, where fruit color development requires direct sunlight, the practice of spraying kaolin-based sunscreens has become a common way to reduce sunburn (Glenn et al., 2002). In grapes, however, the adoption of this technique has been slower. In fact, there are only a few papers in which this kind of product has been tested, focusing mainly on its protective effect against pests and diseases, and the combined effect with deficit irrigation on fruit composition (by Glenn et al., 2010; Ou et al., 2010; Shellie and Glenn, 2008; Song et al., 2012; Tubajika et al., 2007).

Based on this knowledge gap, and considering that several studies have reported and projected rises in incident radiation and temperatures for various wine producing regions (Jones et al., 2005; Moriondo et al., 2013) as a consequence of climate change, the aim of this project was to evaluate and compare the effects of a kaolin-based sunscreen and a fruit zone netting on selected physiology and fruit quality variables of Cabernet Sauvignon grapevines.

Materials and methods

1. Plant material and experimental set up

The study was carried out during 2011/2012, in a Cabernet Sauvignon vineyard (35° 06' S, 71º 20' W, 230 m.a.s.l., Maule Region, Chile) established in 1994 under a 3x1.5 m frame, with a North-South orientation, trained in a vertical-shoot-positioned system and drip irrigated (drippers ~4 L h-1). The climate is Mediterranean, with an average rainfall of 676 mm per year, and diurnal temperatures during fruit ripening between 3.3 and 29.4ºC. Meteorological data of season 2011–2012 is given in Table 1. The soil is sedimentary, dark brown, with texture ranging from loamy-sand to silty clay-loam soil, and a depth of root-growth of 0.6 m (CIREN-CORFO, 1997).

Table 1. Meteorological data per phenological stage during season 2011–2012.

Phenological period   PETz (mm) Rain (mm) Rain-PET (mm) Tmax (ºC) Tmin (ºC) Tmean (ºC) GDD  
1st May - Budbreak 155 449 294 13.8 3.2 8.0 46
Budbreak - Flowering 220 9 -211 22.3 6.8 14.1 258
Flowering - Veraison 365 0 -365 29.0 11.2 20.1 636
Veraison - Harvest 353 7 -346 27.9 10.8 19.0 727
Total or Mean 1093 465 -629 23.2 8.0 15.3 1668

zPET= potential evapotranspiration; Tmax, Tmin and Tmean are the mean maximal, minimal and mean temperature of the period; GDD= growing degree days.

The trial was set in a completely randomized design, with three treatments and three replicates of 20 plants each. To avoid wind drift and edge effects, the treatments were arranged on three non-adjacent rows, separated by two rows each (~9 m). Similarly, each experimental unit (20 plants) was separated from each other by 25 untreated plants (~38 m). The treatments were as follows: (a) a control, (b) a treatment with seven periodical sprayings of kaolin (Nufresh®, Nufarm, Chile), and (c) a treatment with installation of a black Raschell’s type net (35% shade, 0.6 m tall from the soil) on the west side of the canopy, covering the fruiting zone and a limited portion of the foliage. Based on the manufacturer recommendation, the first spraying of 0.875 kg of Nufresh per 100 L of water was made on December 14, 2011 (berry size of ~5 mm diameter) using a 2000 L turbo-nebulizer (Fabrizio Levera, Chile). From the second application on (January 4, 2012), the dosage and spraying frequency were adjusted to 1.5 kg per 100 L of water at ~12-day intervals. The dosage adjustment was decided due to the incomplete kaolin-film formation after the first spraying. For the fruit netting treatment, the net was also installed on December 14, 2011 and removed at harvest (April 10, 2012).

2. Light reflectance and temperature

Absolute reflectance (350-2500 nm) was measured on the foliage and fruit (i.e. 30 cm above and at the fruit zone height, respectively) using a portable spectroradiometer (Fieldspec Jr. 3, ASD Inc., USA; equipment description is detailed by Lobos et al., 2014) located at 1.5 and 0.2 m of distance, respectively (3472 and 61.73 cm2 of area measured, respectively). The equipment was calibrated against a white reference panel (Spectralon, ASD Inc., USA) every 15 minutes (Garriga et al., 2014). Here, absolute reflectance corresponds to the sum of (i) ultraviolet (UV): 350-399 nm, (ii) PAR: 400-700 nm, (iii) near-infrared 1 (NIR1): 701-1400 nm, and (iv) near-infrared 2 (NIR2): 1401-2500 nm. Measurements were taken on the west-facing side of the canopy between 13:00 and 15:00 h, with six measurements per experimental unit.

Similarly, fruit temperature was evaluated using a thermal imaging camera (FLIR i-40, Flir system Inc. OR, USA) positioned at ~0.4 m from the clusters. In the shaded treatment, the net was slightly moved to allow the camera to perform the measurements. Data processing was done with the software Flir Quick Report.

3. Plant water status & leaf gas exchange

Midday stem water potential (Ψs) was estimated from the leaf water potential measured with a pressure chamber (PMS Instrument Co., model 600, OR, USA), according to Scholander et al. (1965), between 12:00 to 14:00 h using two mature, healthy and fully expanded leaves per vine, selected from the mid-upper part of the canopy. These leaves were covered for 2 hours with a plastic wrap and aluminum foil before the measurements, to allow leaf water potential equilibrate with stem water potential (Ortega-Farías et al., 2004). Due to the time constraints involved in this analysis, two representative vines/replicate were marked and analyzed at any given measurement date (January 4th and 30th, February 21st, and March 27th), before the respective kaolin sprayings.

Stomatal conductance (gs; mol H2O m-2 s-1), CO2 assimilation rate (A; mol m-2 s-1) and transpiration (E; mmol H2O m-2 s-1) were measured with an infrared gas analyzer (Li-6400 Li-Cor, Inc., NE, USA), at ambient conditions of light saturation (> 800 mmol m-2 s-1), between 12:00 and 14:00 h, using the same plants as in the measurements of water potential. For the measurements in the control and kaolin-based treatments, two mature, healthy and fully exposed leaves per vine, per replicate, were chosen. In the Net treatment, the leaves were under the shade of the net. These evaluations were performed on January 30th, February 21st and March 27th.

4. Incidence and severity of berry dehydration

Incidence (I) and severity (S) of berry dehydration was evaluated on the west side of the canopy at harvest time. “I” was determined as the percentage of clusters with any type of cellular damage, whilst “S” was evaluated using the following scale: "0", clusters with no damage; "1", clusters with some damage (1-25% dehydration); "2", moderate damage (26-50% dehydration); "3", significant damage (51-75% dehydration); and "4", severe damage (76-100% dehydration). Damage severity was obtained from the sum of clusters with different damage levels out of the total clusters on each replication. Prior to these, 3 groups of 3 people each agreed on the categories and evaluated the treatments independently.

5. Chemical composition of berries

Two sets of ~15 kg of fruit/replicate were harvested, stored in iced coolers, and taken to the laboratory within 1 hour. One set of fruit was pressed through a lab-scale press. Approximately 1 L of juice was filtered and analyzed for juice density (g L-1), pH, titratable acidity (g L-1 of sulfuric acid), and free amino nitrogen (mg L-1) (Bordeu and Scarpa, 2000). The second set of fruit was stored in polyethylene bags and frozen at -40ºC for 30 days, until total polyphenol (absorbance at 280 nm) of the whole berry and color of skin extracts (absorbance at 520 nm) were analyzed (Venencie et al., 1997). In both cases, the measurements were expressed as absorbance units.

6. Statistical analyses

Analysis of variance (ANOVA) and Tukey's test (p≤0.05) for multiple pairwise comparisons was done using SAS (SAS Institute Inc., Cary, NC, USA). The percentages of incidence and severity of berry dehydration were transformed by the arcsine square-root function.


1. Light reflectance and temperature

As expected, the Net treatment showed lower absolute reflectance than the control and kaolin treatments, either for fruit and foliage measurements. In the last measurement date, when accumulation of kaolin film was noticeable, the fruit under kaolin showed higher reflectance than the control (Table 2). In the case of foliage, the kaolin treated plants had between 26 to 155% more UV and PAR reflectance throughout the season than the control plants (data not shown). Compared to fruit reflectance, these differences were noticeable earlier in the season (January 30, 2012), probably due to the surface characteristics of leaves versus clusters (e.g. exposed surface, waxiness, and rugosity).

Table 2. Absolute reflectance by area of the spectrax, measured at fruit at midday.

Region of the spectra Jan 04, 2012 Jan 30, 2012 Feb 21, 2012 Mar 27, 2012
Control 1.8 az 1.3 b 2.8 a 5.0 b
Kaoliny 1.7 a 1.5 a 2.9 a 6.1 a
Net 0.9 b 0.7 c 1.0 b 2.0 c
Control 18.3 a 10.4 a 15.5 b 28.8 b
Kaolin 17.3 a 10.4 a 20.0 a 45.4 a
Net 9.2 b 6.3 b 5.4 c 12.1 c
Control 219.5 a 136.7 a 133.7 a 213.5 b
Kaolin 212.8 a 123.3 a 142.7 a 238.7 a
Net 141.9 b 91.6 b 74.8 b 127.3 c
Control 31.6 a 42.2 a 19.3 a 36.5 b
Kaolin 35.8 a 23.3 b 24.2 a 59.9 a
Net 12.6 b 19.6 b 6.3 b 24.4 c

xSum of the proportions (from 0: no reflectance to 1: 100% reflectance) of the spectra for each wavelength between UV= 350-399 nm; PAR= 400-700 nm; NIR1= 701-1400 nm; NIR2= 1401-2500 nm.
yFirst application made on December 14, 2011.
zReflectance followed by the same letter by column represents no statistical differences (Tukey’s test, p≤0.05). All p values were lower than 0.0001.

Berry temperatures were consistently and significantly lower in the Net treatment compared to the control and Kaolin treatments (Table 3). Shading reduced berry temperature on average by ~3.8ºC compared to the control. Berry temperatures in the kaolin treatments were lower than the control on two of the four measurement dates.

Table 3. Effects of vine netting and Kaolin-based sprayings on fruit temperature.

Treatment Jan 04, 2012   Jan 30, 2012   Feb 21, 2012   Mar 27, 2012  
  Berry skin temperature (ºC)x
Control 41.7 az   41.3 a   40.8 a   41.7 a    
Kaoliny 41.2 a   38.9 b   40.1 a   40.9 b    
Net 37.4 b   37.8 c   37.2 b   34.4 c    

xMeasurements made by infrared thermography between 14:00 and 16:00 h.
yFirst application made on December 14, 2011.
zTemperatures on the same column followed by different letters are statistically different (Tukey’s test, p≤0.05). All p values were lower than 0.0001.

2. Plant water status & leaf gas exchange

Two Ψs measurements (January 30th and February 21st) showed significant differences (p<0.05) between Net and control (Table 4) with lower (more negative) values for Net, but no differences were observed between the kaolin and control treatments on any date. Similarly, there were no statistical differences among treatments regarding stomatal conductance (gs), assimilation (A) and transpiration measurements (E) in the three measurements performed (Table 4).

Table 4. Effects of vine netting and Kaolin-based sprayings on stem water potential (Ψs), stomatal conductance (gs), CO2 assimilation (A), and transpiration (E) of Cabernet Sauvignon.

Treatment Jan 04, 2012 Jan 30, 2012 Feb 21, 2012 Mar 27, 2012
Stem water potential (Ψs) (MPa)
Control -0.59z -0.62 a -0.67 a -0.68
Kaolin -0.60 -0.69 ab -0.75 ab -0.68
Net -0.67 -0.74 b -0.78 b -0.68
Stomatal conductance (gs) (mol H2O m-2 s-1)
Control - 0.17 0.18 0.13
Kaolin - 0.15 0.14 0.11
Net - 0.18 0.17 0.10
CO2 assimilation rate (A) (μmol m-2 s-1)
Control - 6.29 9.57 5.59
Kaolin - 5.19 8.55 5.14
Net - 4.30 7.70 4.35
Transpiration (E) (mmol H2O m-2 s-1)
Control - 6.78 5.03 4.94
Kaolin - 6.28 4.30 4.14
Net - 4.94 4.19 3.62

zAverages on the same column followed by different letters are statistically different (Tukey’s test, p≤ 0.05). All significant p values were lower than 0.05.

3. Incidence and severity of berry dehydration

The lowest damage incidence rate was observed in the Net treatment (with an average severity level of 20.7%), followed by the kaolin (44.3% on average) and the control treatment (56.7% on average). Clusters with severity level 0 were always more under Net (79.3%), followed by kaolin (55.7%) and control (43.3%). Among severity levels 2 to 4, the Net treatment yielded the lowest frequency values. Concerning kaolin effects, among severity levels 1 to 4, only in level 3 did the kaolin yield a lower frequency value than the control (Figure 1).

Figure 1. Fruit dehydration severity levels. Bars with the same letters by severity level represent no statistical differences (Tukey’s test, p≤0.05).

4. Chemical composition of grape berries

All values obtained were not statistically different (p<0.05) among the treatments for any of the analyses performed (Table 5). Soluble solids at the time of harvest were around 24.5 Brix. Regarding fruit acidity, the Kaolin treatment showed the highest pH and the lowest titratable acidity; however, no statistical differences among treatments were detected. Similarly, the variability observed in free amino nitrogen and phenolic measurements precluded finding significant differences.

Table 5. Effects of vine netting and Kaolin-based sprayings on the juice chemical composition, the concentration of total phenolics, and the color at 520 nm of Cabernet Sauvignon grapes.

  Density pH Titratable acidity FANx Total phenolics Color
Treatment g L-1   g L-1 Eq. Sulfuric acid mg L-1 (Abs. 280 nm) AUy (Abs. 520 nm) AU
Control 1103.00z 3.55 4.16 300.53 0.2003 0.1107
Kaolin 1105.00 3.62 3.93 307.74 0.1993 0.1323
Net 1103.66 3.55 4.07 301.63 0.1780 0.1117

xFAN: Free amino nitrogen.
yAU: Absorbance units.
zAll p values were not significant.


The lack of differences in light reflectance and fruit temperature between the kaolin and control treatments at the early measurement dates could be indicative of the need to increase the kaolin-based product concentration or the frequency of spraying. It has been reported that the kaolin film produces an increase in light reflectance, primarily ultraviolet and infrared from the surface of apple fruit (Glenn et al., 2002), a situation that was also noticed in this study, in which the kaolin treatment produced significantly higher UV, PAR and NIR values compared to the control, at the latest measurement date, possibly due to a thicker kaolin film at the end of the season. Also, the fruit or foliage of kaolin treated vines in our experiment had a reduced fruit temperature, as was the case in apple trees, accompanied by an increased stomatal conductance in the leaves (by Glenn et al., 2010), which was not observed, however, in our conditions. This lack of response from the stomata could be partially explained by a mild to moderate water stress condition as indicated by gs values recorded in this study (Cifre et al., 2005). On the other hand, the use of shading nets produced a reduction in plant (data not shown) and fruit temperature as previously reported elsewhere for blueberries (Lobos et al., 2012 and 2013). Likewise, a lower incidence and severity of berry damage was observed as compared to both kaolin and control plants.

The combination of ultraviolet and temperature has been proposed as the main factor inducing sunburn (Glenn et al., 2002). This might be a likely explanation for the lower incidence and severity of fruit damage observed in the Net and Kaolin treatments as compared to the control. Moreover, given the higher incidence and severity of berry damage observed in the Kaolin vs. the Net treatment, it is possible that an insufficient coverage with kaolin after the first spraying led to more dehydrated berries compared to Net plants. In other studies conducted in vineyards, but aiming at different objectives, higher kaolin doses of up to 60 g L-1 with a wetting of 950 L ha-1 have been used (Glenn et al., 2010; Shellie and Glenn, 2008). In these cases, the effects of kaolin treatments varied depending on the vine water status. For instance, well irrigated vines had lower canopy temperature, increased leaf water potential and reduced gs, and presented slight fruit compositional variations depending on the grape cultivar analyzed.

With regards to plant water status and leaf gas exchange, all Ψs values were within weak water restriction (Sibille et al., 2007). In this case, two mid-season measuring dates showed statistical differences, and only between Net and control treatments. Similar to a prior report conducted in blueberries (Lobos et al., 2009 and 2012), shading under black nets (50% shade) produced slightly lower (more negative) Ψs values compared with no-shaded plants, accompanied with a higher specific leaf area as to improve mesophyll CO2 diffusion. Therefore, when water restriction is present, more negative stem water potential values could be found under shaded treatments.

Also, the A and E results are in agreement with those by Glenn et al. (1999 and 2010) and Kerns and Wright (2000), in which no changes in photosynthesis after kaolin treatments were observed. Moreover, Morandi et al. (2011) and Otero et al. (2011) did not find changes in transpiration when shading nets were used in apple and citrus. Similar to Lobos et al. (2012), our results indicated that shading nets (50% shade) produce no changes in A values. Other studies have reported that treatments with kaolin do not reduce photosynthesis and plant growth, but lessen the adverse effects of water stress (Glenn et al., 1999; Kerns and Wright, 2000), and the photo-inhibition caused by intense solar radiation and high vapor pressure deficit in warmer areas (Lo Verde et al., 2011).

The results of chemical composition were in agreement with those by Glenn et al. (2010), who did not observe differences in soluble solids, pH and titratable acidity of berries with and without kaolin applications on Merlot and Viognier. Despite the lack of compositional changes, sunburnt, dehydrated or shrivel fruit can have detrimental effects on fruit yield, they can cause fruit rejection, and they can adversely affect wine quality through a lower aroma potential (Bonada et al., 2013; Mira de Orduña, 2010).


Both of the treatments tested (i.e. kaolin-based and fruit zone netting treatments) were able to moderate the effects of excessive radiation and temperature on fruit, without affecting the physiology and fruit composition variables measured. This result is particularly relevant in areas in which the effects of climate change have produced increments of radiation and mean temperatures during the growing season. The results also indicated the importance of the appropriate timing and - in the case of kaolin - product’s dosage for higher efficiency. Further studies are required to evaluate the effects of kaolin-based particle films or fruit zone netting treatments under different growing conditions, as well as the effects of residual kaolin on wine quality.

Acknowledgements: Funding was provided by Minera Tracmin, Nufarm Chile and Viña San Pedro. We thank Alejandro Escobar, Félix Estrada, Werner Frigerio, Mario Guerrero, Sebastian Romero-Bravo and Osvaldo Rubí for their technical assistance. This work was also technically supported by the research program “Adaptation of Agriculture to Climate Change (A2C2)” from the Universidad de Talca - Chile.


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Gustavo A. Lobos

Affiliation : Plant Breeding and Phenomic Center, Faculty of Agricultural Sciences, Universidad de Talca, 2 Norte 685, Talca, Chile; Facultad de Ciencias Agrarias, Universidad de Talca, 2 Norte 685, Chile

César Acevedo-Opazo

Affiliation : Centro de Investigación y Transferencia en Riego y Agroclimatología (CITRA), Universidad de Talca, 2 Norte 685, Talca, Chile; Facultad de Ciencias Agrarias, Universidad de Talca, 2 Norte 685, Chile

Alejandro Guajardo-Moreno

Affiliation : Centro de Investigación y Transferencia en Riego y Agroclimatología (CITRA), Universidad de Talca, 2 Norte 685, Talca, Chile; Facultad de Ciencias Agrarias, Universidad de Talca, 2 Norte 685, Chile

Héctor Valdés-Gómez

Affiliation : Centro de Investigación y Transferencia en Riego y Agroclimatología (CITRA), Universidad de Talca, 2 Norte 685, Talca, Chile; Facultad de Ciencias Agrarias, Universidad de Talca, 2 Norte 685, Chile

James A. Taylor

Affiliation : Cornell Lake Erie Research and Extension Laboratory, School of Integrative Plant Science, Cornell University, 6592 West Main St, Portland, NY, 14769, United States; School of Agriculture, Food and Rural Development, The University of Newcastle upon Tyne, Cockle Park Farm, Morpeth, NE61 3EB, United Kingdom

V. Felipe Laurie


Affiliation : Facultad de Ciencias Agrarias, Universidad de Talca, 2 Norte 685, Chile


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