Grapevine and Ozone: Uptake and E ﬀ ects

: The grapevine ( Vitis vinifera , L.) has been long since recognized as an ozone-sensitive plant. Ozone molecules can penetrate grapevine leaf tissues when the concentration of ozone in the atmosphere is high due to air pollution. This causes cell damage and interferes with photosynthetic mechanisms, subsequently slowing down plant growth and resulting in premature leaf senescence. Secondary e ﬀ ects include changes in biochemical processes that a ﬀ ect the chemical composition of the must and are likely to alter the quality of the wine. An experiment was conducted during two grapevine-growing seasons in 2010 and 2011 to gain knowledge of the e ﬀ ect of high ozone levels on the yield and on several biochemical characteristics of the plant which could inﬂuence the quality of the ﬁnal product. These factors are economically important for agricultural production; this is especially true for Italy, which is one of the largest wine producers worldwide. The method used was a facility consisting of open top chambers operated at a vineyard in Angera (northern Italy). This facility permitted the study of the e ﬀ ects of di ﬀ erent ozone levels. At the end of the experiment, the grapes were weighed and chemical analyses were carried out in order to understand the e ﬀ ects of ozone on the di ﬀ erent characteristics of the grapes and on concentrations of several of its chemical substances. In particular, concentrations of yeast assimilable nitrogen, degrees Brix, pH, tartaric and malic acids, and polyphenols, including resveratrol, were considered, as these inﬂuence the quality of the wine. Parameters characterizing the di ﬀ erent ozone levels were expressed in terms of ozone exposure (AOT40) and phytotoxic ozone dose (POD). The results showed that high ozone levels a ﬀ ect grapevine weight and thus its yield. In addition, the quality of the wine is a ﬀ ected by reductions of polyphenols which diminish the nutritional beneﬁts of the product. In addition, these reductions cause the wine to have a more aggressive taste. These results emphasize the practical importance of the present study.


Introduction
Sensitivity of the grapevine (Vitis vinifera L.) to ozone has been known for a rather long time [1][2][3][4][5]; other authors [6,7] reported visible foliar injury in plants of V. vinifera grown on vineyards in Greece, Spain, and Italy. When the atmospheric concentration of ozone (O 3 ) is high due to air pollution, ozone molecules penetrate grapevine leaf tissues through the stomata, causing cell damage and interfering with photosynthetic mechanisms, something which produces a subsequent slowing down of plant growth and premature leaf senescence in many plant species [6,8,9]. Secondary effects include changes in biochemical processes that affect the chemical composition of the must and which are likely to cause alterations in the quality of the wine produced [10].
The effects of ozone uptake by grapevines are part of the much wider problem of ozone damage to crops, which has been known about for a long time [11][12][13]. Reviews on this topic can be found in e.g., [14,15]. The latter author considers ozone to be the most important air pollutant in non-urban areas and concludes that it considerably affects ecosystems, whether natural or cultivated.
The way by which ozone damages vegetation is related to its oxidizing potential. After penetration through the stomata, ozone reaches the cell membranes and the apoplast, whose oxidation produces hydroxyl and peroxyradicals as well as hydrogen peroxide [16]. Alkenes are converted into aldehydes and peroxides [17]. All these oxidized molecules are known under the generic appellation of reactive oxygen species (ROS). Details on these mechanisms can be found in [18,19]. Cell death may occur as the ultimate consequence of these oxidation processes. Up to a certain point, detoxification processes, involving ascorbate and glutathione [20], can "clean" the cell from ozone attack. The detoxification capability is genetically controlled, meaning sensitivity of plants to ozone is strongly species-and even cultivar-dependent. The final result of the action of ozone on vegetation is the perturbation of photosynthesis, which leads in several cases to a reduction in growth rates. This can cause important losses of agricultural crop yields on a global scale [21,22], with consequences at economic and human levels. The uptake of ozone by vegetation also causes physiological perturbations to natural vegetation [23]. Other studies have analyzed the effects of ozone on natural biomass production [24][25][26][27].
Two approaches are usually followed for the assessment of O 3 risk to crops: the concentration-based approach [28][29][30] and the flux-based approach [31]. The former estimates ozone risk to vegetation by calculating an exposure index named AOT40, which is defined as the accumulated hourly O 3 concentration exceeding a threshold of 40 ppb that is summed up over a growing season. The latter approach is based on another index, the phytotoxic ozone dose with threshold y (PODy) (mmol.m −2 ), which is computed as the accumulated stomatal ozone flux and is similarly summed up over a growing season. The latter depends on plant phenology, solar irradiance, temperature, vapor pressure deficit, and soil moisture [32,33]. A critical review of these indices has been made by other authors [34].
To date, the metrics described above have been applied to V. vinifera in a few studies only [5,10,35]. In the latter work cited, the authors examined the possible effects of O 3 on grape leaves under natural conditions in the Rijeka bay area (Croatia) using the AOT40 index. The effects of environmental factors associated with air pollution on grapevines have been investigated by [29,36], among others. These authors found adverse effects of high temperature and air pollution conditions on photosynthesis in Vitis vinifera (cv. Hongti). A reduced value of stomatal conductance and of net assimilation in two grapevine cultivars (Maturano and San Giuseppe) while these were fumigated with O 3 was also found [37]. Furthermore, [10] studied the impact of stomatal uptake of ozone on the quality of must as well as fruit yield in pot-grown grapevine plants exposed to different O 3 concentration levels. These authors found foliar damage as well as yield losses. These results were obtained in controlled experimental conditions that were not necessarily representative of grapevines growing on a vineyard.
The goal of the experiment described here was to study the possible effects that ozone uptake by grapevines could cause in natural conditions and when the plants are enclosed in open top chambers (OTCs). Determination of the chemical composition of the must as well as of the weight of the grapes, expressing their biomass production, was carried out. Inside the OTCs, the O 3 concentration was controlled and reduced by filters. The campaigns were conducted in August-September 2010 and in May-September 2011 at a vineyard near the town of Angera, which is located in northern Italy.
In the following sections the experiment, including the measurement of ozone concentration and other relevant parameters, is described. Then, the determination of exposure and integrated ozone flux is explained, as well as the measurable effects of ozone on yields and on chemical contents of the must.

Materials and Methods
Four OTCs were operated on our chosen site (see Figure 1). Each OTC enclosed four grapevine plants (Vitis vinifera L., cv. Merlot). The size of each OTC was 0.8 m × 4.0 m × 2.5 m. Two OTCs were fed with ambient air and the two others with filtered air, from which a part of the ambient O 3 was removed by a chemical substance (PURAFIL ®, Doraville, GA, USA). It was deduced from the measurement of flow rates of the air pushed into the chambers (16 m 3 min −1 ) and from the volume of the OTCs that air inside the OTCs was completely mixed and renewed in two minutes. Measurement of temperature and humidity at various points inside the OTCs led to the conclusion that these variables were spatially homogenous. Ozone concentrations were monitored inside and outside the chambers (both filtered and unfiltered OTCs) during the whole experiment by making use of an ozone analyzer (Thermo Environmental Instruments, Inc., mod. 49C, Waltham, MA, USA). The analyzer's input line was connected with a three-way switching valve permitting alternation between three input lines, pumping air from the open air as well as from the filtered and unfiltered OTCs.
In the following sections the experiment, including the measurement of ozone concentration and other relevant parameters, is described. Then, the determination of exposure and integrated ozone flux is explained, as well as the measurable effects of ozone on yields and on chemical contents of the must.

Materials and Methods
Four OTCs were operated on our chosen site (see Figure 1). Each OTC enclosed four grapevine plants (Vitis vinifera L., cv. Merlot). The size of each OTC was 0.8 m × 4.0 m × 2.5 m. Two OTCs were fed with ambient air and the two others with filtered air, from which a part of the ambient O3 was removed by a chemical substance (PURAFIL ®, Doraville, GA, USA). It was deduced from the measurement of flow rates of the air pushed into the chambers (16 m 3 min −1 ) and from the volume of the OTCs that air inside the OTCs was completely mixed and renewed in two minutes. Measurement of temperature and humidity at various points inside the OTCs led to the conclusion that these variables were spatially homogenous. Ozone concentrations were monitored inside and outside the chambers (both filtered and unfiltered OTCs) during the whole experiment by making use of an ozone analyzer (Thermo Environmental Instruments, Inc., mod. 49C, Waltham, MA, USA). The analyzer's input line was connected with a three-way switching valve permitting alternation between three input lines, pumping air from the open air as well as from the filtered and unfiltered OTCs. The first phase of the experiment was merely aimed at testing the capability of the experimental setup. This phase took place during the summer of 2010. During the initial period (5-11 August), the system was operated without eliminating ozone by filtering. The ozone concentrations recorded for the three lines (i.e., two pairs of OTCs and the external open air) are represented in Figure 2, and show good agreement between the lines. For the period covering 15 August to harvest time, filtering was introduced using PURAFIL ® -filled filters, leading to the conclusion that absorption of ozone The first phase of the experiment was merely aimed at testing the capability of the experimental setup. This phase took place during the summer of 2010. During the initial period (5-11 August), the system was operated without eliminating ozone by filtering. The ozone concentrations recorded for the three lines (i.e., two pairs of OTCs and the external open air) are represented in Figure 2, and show good agreement between the lines. For the period covering 15 August to harvest time, filtering was introduced using PURAFIL ® -filled filters, leading to the conclusion that absorption of ozone within the filters caused an around 30% reduction in the concentrations ( Figure 3). An additional aspect to consider is the difference between open-air O 3 concentrations and those measured inside the unfiltered chambers. This difference is related to a loss of ozone in the unfiltered OTCs due to its destruction on the tube walls.
within the filters caused an around 30% reduction in the concentrations ( Figure 3). An additional aspect to consider is the difference between open-air O3 concentrations and those measured inside the unfiltered chambers. This difference is related to a loss of ozone in the unfiltered OTCs due to its destruction on the tube walls.
.  During the year 2011, the complete growing season of grapevines was investigated. The experiment took place from June 2011 to harvest time, which occurred in September. In two chambers the air was filtered in order to reduce the O3 content. In each OTC, four plants were present. Since for each treatment (filtered and unfiltered) two OTCs were set up, each treatment consisted of eight plants. We also sampled eight plants for the open-air condition. . Sampling was performed by randomly marking two bunches per plant at the beginning of the experiment (June 2011). These bunches were cut at harvest time (in September). However, at harvest, we had to eliminate a few plants because of damage by parasites or other causes like branches growing outside the OTCs. In the end, sampling included seven plants for the filtered OTCs, six plants for the unfiltered OTCs, and six plants for the external open-air plants. Bunches cut were weighed and then aspect to consider is the difference between open-air O3 concentrations and those measured inside the unfiltered chambers. This difference is related to a loss of ozone in the unfiltered OTCs due to its destruction on the tube walls.
.  During the year 2011, the complete growing season of grapevines was investigated. The experiment took place from June 2011 to harvest time, which occurred in September. In two chambers the air was filtered in order to reduce the O3 content. In each OTC, four plants were present. Since for each treatment (filtered and unfiltered) two OTCs were set up, each treatment consisted of eight plants. We also sampled eight plants for the open-air condition. . Sampling was performed by randomly marking two bunches per plant at the beginning of the experiment (June 2011). These bunches were cut at harvest time (in September). However, at harvest, we had to eliminate a few plants because of damage by parasites or other causes like branches growing outside the OTCs. In the end, sampling included seven plants for the filtered OTCs, six plants for the unfiltered OTCs, and six plants for the external open-air plants. Bunches cut were weighed and then During the year 2011, the complete growing season of grapevines was investigated. The experiment took place from June 2011 to harvest time, which occurred in September. In two chambers the air was filtered in order to reduce the O 3 content. In each OTC, four plants were present. Since for each treatment (filtered and unfiltered) two OTCs were set up, each treatment consisted of eight plants. We also sampled eight plants for the open-air condition. Sampling was performed by randomly marking two bunches per plant at the beginning of the experiment (June 2011). These bunches were cut at harvest time (in September). However, at harvest, we had to eliminate a few plants because of damage by parasites or other causes like branches growing outside the OTCs. In the end, sampling included seven plants for the filtered OTCs, six plants for the unfiltered OTCs, and six plants for the external open-air plants. Bunches cut were weighed and then sent to the Istituto Agrario di San Michele all'Adige (Edmund Mach Foundation) for chemical analysis.
Chemical characteristics such as degrees Brix (an index quantifying the dissolved saccharose content of the must), pH, concentrations of tartaric and malic acids, potassium, and assimilable nitrogen were determined by FTIR. Total anthocyanins and polyphenols were determined using a method described by Mattivi [38]; resveratrol was determined by high performance liquid chromatography with a diode array detector [39].
ANOVA was used to statistically analyze the results obtained (see the Results section below).

Results
The main goal of the analysis was to determine whether grapes exposed to ozone-rich air (unfiltered OTC air and open air, i.e., air external to the OTCs) showed differences from grapes exposed to ozone-poor air (filtered OTC air) with regard to various parameters such as yield and chemical composition data.
The experiments started in the beginning of June, during the summer of 2011. Ozone concentration, temperature, and relative humidity were monitored continuously until September when harvesting took place. The average temperature was 22.6 • C in the open air (OA), 23.3 • C in the filtered OTCs (F) and 22.7 • C in the unfiltered OTCs (NF). This indicates that the temperature differences were not critically important. As far as relative humidity (RH) was concerned, differences were higher between the OA and the air inside both kinds of OTCs. In the OA, the average RH was 78%, whereas in F and NF it was 76%. A more complete picture of temperature and humidity is shown in Figure 4. In parallel to the monitoring of concentrations, ozone stomatal fluxes were calculated by using the multiplicative DO 3 SE model (Deposition of Ozone for Stomatal Exchange) which was developed by several authors recently [32,33]. An example of a recorded time series is shown in Figure 5 Chemical characteristics such as degrees Brix (an index quantifying the dissolved saccharose content of the must), pH, concentrations of tartaric and malic acids, potassium, and assimilable nitrogen were determined by FTIR. Total anthocyanins and polyphenols were determined using a method described by Mattivi [38]; resveratrol was determined by high performance liquid chromatography with a diode array detector [39].
ANOVA was used to statistically analyze the results obtained (see the Results section below).

Results
The main goal of the analysis was to determine whether grapes exposed to ozone-rich air (unfiltered OTC air and open air, i.e., air external to the OTCs) showed differences from grapes exposed to ozone-poor air (filtered OTC air) with regard to various parameters such as yield and chemical composition data.
The experiments started in the beginning of June, during the summer of 2011. Ozone concentration, temperature, and relative humidity were monitored continuously until September when harvesting took place. The average temperature was 22.6 °C in the open air (OA), 23.3 °C in the filtered OTCs (F) and 22.7 °C in the unfiltered OTCs (NF). This indicates that the temperature differences were not critically important. As far as relative humidity (RH) was concerned, differences were higher between the OA and the air inside both kinds of OTCs. In the OA, the average RH was 78%, whereas in F and NF it was 76%. A more complete picture of temperature and humidity is shown in Figure 4. In parallel to the monitoring of concentrations, ozone stomatal fluxes were calculated by using the multiplicative DO3SE model (Deposition of Ozone for Stomatal Exchange) which was developed by several authors recently [32,33]. An example of a recorded time series is shown in Figure 5, where O3 concentration inside and outside the OTCs is represented, as well as temperature, relative humidity, and calculated stomatal O3 flux, for the period 25-31 July 2011.    Average trends in O3 concentration, flux, and temperature during the growing season of 2011 are shown in Figure 6. To facilitate the interpretation of these time series, the figure shows daily averages of the variables. A rough correlation appears between ozone concentration and temperature. This reflects the mechanisms of ozone formation, mainly due to photochemical processes, as the mechanisms are triggered by intense solar radiation. Periods of high solar radiation generally occur during summer when temperatures are higher. Stomatal ozone fluxes tend instead to show lower values when the temperature is higher, and, more generally, ozone fluxes and concentrations are not necessarily correlated. High temperatures usually cause stomatal closure, and the daily cycles of these two variables follow different patterns. For the two lowest rows, the circles represent data for outside the OTCs, the thin solid line corresponds to data for the unfiltered OTCs, and the bold line corresponds to data for the filtered OTCs.
Average trends in O 3 concentration, flux, and temperature during the growing season of 2011 are shown in Figure 6. To facilitate the interpretation of these time series, the figure shows daily averages of the variables. A rough correlation appears between ozone concentration and temperature. This reflects the mechanisms of ozone formation, mainly due to photochemical processes, as the mechanisms are triggered by intense solar radiation. Periods of high solar radiation generally occur during summer when temperatures are higher. Stomatal ozone fluxes tend instead to show lower values when the temperature is higher, and, more generally, ozone fluxes and concentrations are not necessarily correlated. High temperatures usually cause stomatal closure, and the daily cycles of these two variables follow different patterns. Climate 2019, 7, 121 7 of 13 By integrating the stomatal fluxes over time from anthesis to harvest, we determined the phytotoxic ozone dose (POD), which expresses the total amount of O3 taken up by the plant (the dose) per unit area across the complete growing season.
Since the recorded O3 concentration time series was practically uninterrupted from anthesis to harvest, it was possible to determine the exposure indices (AOT40) [15] for the three inlet lines of the ozone measuring system for open air, non-filtered, and filtered OTCs. These values are reported in Table 1. The cumulative curves corresponding to these calculations are shown in Figure 7. A similar calculation was carried out for the stomatal ozone fluxes, which were calculated using the DO3SE model. Here, two thresholds were used: 0 (POD0) and 3 (POD3). Cumulative curves are also represented in Figure 7 and the POD0 values are reported in Table 2. By integrating the stomatal fluxes over time from anthesis to harvest, we determined the phytotoxic ozone dose (POD), which expresses the total amount of O 3 taken up by the plant (the dose) per unit area across the complete growing season.
Since the recorded O 3 concentration time series was practically uninterrupted from anthesis to harvest, it was possible to determine the exposure indices (AOT40) [30] for the three inlet lines of the ozone measuring system for open air, non-filtered, and filtered OTCs. These values are reported in Table 1. The cumulative curves corresponding to these calculations are shown in Figure 7. A similar calculation was carried out for the stomatal ozone fluxes, which were calculated using the DO 3 SE model. Here, two thresholds were used: 0 (POD 0 ) and 3 (POD 3 ). Cumulative curves are also represented in Figure 7 and the POD 0 values are reported in Table 2.
After harvest, the grapes were analyzed at the Edmund Mach Foundation. Results of these analyses are shown in Table 2, where the results, expressed as averages per treatment, i.e., plants growing externally to the OTCs in open air, in filtered OTCs, and in unfiltered OTCs, respectively, are shown in three columns, with each column corresponding to each treatment.   After harvest, the grapes were analyzed at the Edmund Mach Foundation. Results of these analyses are shown in Table 2, where the results, expressed as averages per treatment, i.e., plants growing externally to the OTCs in open air, in filtered OTCs, and in unfiltered OTCs, respectively, are shown in three columns, with each column corresponding to each treatment.  In order to determine the effect of ozone uptake on grapevines, ANOVA was performed on nine out of the fourteen variables appearing in Table 2. We also used the Tukey post-hoc test for multiple comparisons between pairs of treatments. The results of this procedure have been visualized by the box plots shown in Figure 8. Each graph shows, for the variable under consideration, three rectangles which correspond to the three treatments: filtered OTCs, unfiltered OTCs, and external treatment (open air). The horizontal bar present in each rectangle represents the median value (the 50th percentile, i.e., not the mean value, which is shown in Table 2). The vertical extensions of the rectangles represent the lower and upper quartiles (25th and 75th percentiles, respectively). The vertical bars crossing the rectangles represent the minimum and maximum values of the samples. For each variable, the p values were calculated for the three treatments together, as well for pairs of two treatments (filtered-external, unfiltered-external, and unfiltered-filtered), in order to detect significant differences, using the Tukey test. If the p values were less than 0.05, differences were considered significant. We now examine how each of these variables reacted. 1.
Grape weight per bunch. There is a significant difference between the samples obtained from the filtered OTCs and from the other two treatments (p = 0.0213). However, the p value corresponding to the unfiltered versus external couple is too high (0.22) to imply any significance. Notwithstanding the difference in ozone levels between the unfiltered and external treatments, little difference in the bunch weights is detectable. This is probably due to an effect of the open top chambers in which the physical conditions were not the same as in the open air (i.e., for the external samples). However, significant differences between the weight of the bunches enclosed in the filtered and unfiltered OTCs are clearly visible (see Figure 8), with p = 0.0166. This result shows that higher ozone levels cause a reduction in yields, at least in the case of our experiment. 2.
Degrees Brix. This variable expresses the sugar content of the must and is widely used in the wine production industry. A rather important effect of ozone levels appears (see Figure 8), especially between samples enclosed in filtered OTCs and external samples (p = 0.0022). The difference is less clear between filtered and unfiltered samples.

3.
Polyphenols. Here, no clear difference appears between unfiltered and external samples, but the samples enclosed in filtered OTCs are characterized by a much higher content of polyphenols (p = 0.045). These substances are known as antioxidants and have health effects on digestion, for example. The results presented here indicate that high ozone content in air can counterbalance the health effects of polyphenols present in wine.

4.
Anthocyanins. These pigments present in grapes show a significant difference (p = 0.046) between plants enclosed in filtered OTCs and external ones. 5.
Malic acid. No significant difference was found between the three treatments due to the overlap of variability ranges for the different treatments. All p values lie above 0.2. 6.
Titrable acidity. Differences appear rather clearly between plants enclosed in filtered and unfiltered OTCs (p = 0.0086) and between those enclosed in filtered OTCs and under external conditions (p = 0.0055). 7.
Assimilable nitrogen. Here, an opposite pattern with respect to most other variables can be seen: higher ozone levels result in higher assimilable nitrogen. The variance analysis for all three treatments combined shows good significance (p = 0.0032); the highest significance appears between the external plants and those enclosed in filtered OTCs (p = 0.00067). 8.
Trans-resveratrol. As for malic acid, no significant difference was found between the three treatments. All p values lie above 0.1. 9.
Trans-resveratrol glucoside. A significant difference (p = 0.033) appears between external plants and those enclosed in unfiltered OTCs. However, for this variable, no conclusion can be drawn about the effect of ozone between filtered and unfiltered OTCs.
Trans-resveratrol glucoside (mg/kg) 46.3 ± 6.7 40.4 ± 0.7 37.3 ± 3.7 In order to determine the effect of ozone uptake on grapevines, ANOVA was performed on nine out of the fourteen variables appearing in Table 2. We also used the Tukey post-hoc test for multiple comparisons between pairs of treatments. The results of this procedure have been visualized by the box plots shown in Figure 8. Each graph shows, for the variable under consideration, three rectangles which correspond to the three treatments: filtered OTCs, unfiltered OTCs, and external treatment (open air). The horizontal bar present in each rectangle represents the median value (the 50th percentile, i.e., not the mean value, which is shown in Table 2). The vertical extensions of the rectangles represent the lower and upper quartiles (25th and 75th percentiles, respectively). The vertical bars crossing the rectangles represent the minimum and maximum values of the samples. For each variable, the p values were calculated for the three treatments together, as well for pairs of two treatments (filtered-external, unfiltered-external, and unfiltered-filtered), in order to detect significant differences, using the Tukey test. If the p values were less than 0.05, differences were considered significant. We now examine how each of these variables reacted. 1. Grape weight per bunch. There is a significant difference between the samples obtained from the filtered OTCs and from the other two treatments (p = 0.0213). However, the p value corresponding to the unfiltered versus external couple is too high (0.22) to imply any significance. Notwithstanding the

Discussion and Conclusions
The effect of atmospheric O 3 on Vitis vinifera has been known for a long time [2] as far as foliar injury and some other physiological parameters are concerned. No direct quantitative observations of parameters like crop yield and relevant chemical variables that influence the quantity and quality of the final product, i.e., wine, have been available to date. The present work aimed to constitute a step forward towards fill this knowledge gap by using the open top chamber technique, in which grapevine plants are grown under controlled O 3 concentrations. The results show that higher O 3 concentrations cause decreases in crop yield, expressed as the weights of grapevine bunches. In addition, the concentrations of several chemical substances present in the must, which influence the quality of the wine produced and are subject to changes in the case of high tropospheric ozone levels. These substances are polyphenols and saccharose (expressed as degrees Brix). Anthocyanins and total acidity are affected as well.
If we exclude the measurements made in 2010, which were just intended as a test of the facility, the present study was carried out over just one season of grapevine growth and was focused on a limited amount of plant material. Still, the results of the present study show that adverse effects can be observed when grapevine plants are exposed to high ozone levels. While this work can be considered as a step forward, further studies are needed for a more comprehensive picture. It was found that exposures to high O 3 concentrations reduced the quantities of grapes harvested, resulting in wine production losses. In addition, high O 3 levels also affected the quality of the final product. The polyphenol content was also reduced in the case of high O 3 levels. These substances have beneficial properties for human health. However, other parameters such as pH and density seemed unaffected. On examining Figure 8, the effect of O 3 uptake by vine plants still appears for several variables.
Owing to the economic importance of wine production and quality, it is recommended that full-scale experiments be conducted in particular by focusing on longer exposure periods and a higher amount of plant material. They would need to be coupled with direct measurements of ozone flux, e.g., by using eddy covariance techniques to directly measure ozone fluxes.
Author Contributions: I.F. and S.C. organised and carried out the field experiment; They also participated in the analysis of the results; E.P. made a conceptual work in designing the experiment; C.P. and A.D.M. participated in the modeling and analysis of the data.

Funding:
No funding external to the participating institutes was made.