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Impacts of Climate Change-Induced Temperature Rise on Phenology, Physiology, and Yield in Three Red Grape Cultivars: Malbec, Bonarda, and Syrah

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15 October 2024

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16 October 2024

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Abstract
Climate change has significant implications for agriculture, especially in viticulture, where temperature plays a crucial role in grapevine growth. Mendoza's climate is ideal for producing high-quality wines, but 21st-century climate change is expected to have negative impacts. This study aimed to evaluate the effects of increased temperature on the phenology, physiology, and yield of Malbec, Bonarda, and Syrah. A field trial was conducted over two seasons (2019-2020 and 2020-2021) in an experimental vineyard with an active canopy heating system (+2-4ºC). Phenological stages (budburst, flowering, fruit set, veraison, harvest), shoot growth (SG), number of shoots (NS), stomatal conductance (gs), chlorophyll content (CC), chlorophyll fluorescence (CF), and water potential (ψa) were measured. Additionally, temperature, relative humidity, light intensity, and canopy temperature were recorded. Heat treatment advanced all phenological stages by approximately two weeks, increased SG and NS, and reduced gs and ψa during the hottest months. CC and CF remained unaffected. The treatment also resulted in lower yields, reduced acidity, and increased °Brix in both seasons. Overall, rising temperatures due to climate change advance the phenological phases of Malbec, Syrah, and Bonarda, leading to lower yields, higher °Brix, and lower acidity, although physiological variables remained largely unchanged.
Keywords: 
Subject: Biology and Life Sciences  -   Plant Sciences

1. Introduction

Climate change is a phenomenon that has profound implications for agriculture, particularly in viticulture where temperature plays a critical role in the growth and development of grapevines. This event is impacting grape yield, composition, and wine quality, leading to shifts in the geography of wine production [1].
High temperatures associated with climate change have been shown to significantly impact the phenology, physiological variables, and harvest parameters of red grapes [2].
Numerous works have addressed the relationship between climate change and viticulture in various regions of the world. Climate’s impact on viticulture in regions like Oregon and California has been studied [3], while a European perspective on climate change and its effects on viticulture, provides a detailed insight into how high temperatures are reshaping the global viticultural landscape [4]. Furthermore, research of [5] in California and [6] in New Zealand have specifically examined how climate trends and high temperatures are impacting grape yields, the chemical composition of musts, and ultimately, the quality and diversity of wines produced in these regions.
Elevated temperatures can accelerate the phenological cycle of the vine, resulting in early grape ripening [7]. This phenomenon can affect the quality of the grape and wine, as the accumulation of sugars and the degradation of acids may occur more rapidly than desired [8].
The future suitability of Argentina for wine production will primarily depend on temperature increases, ground and surface water availability [9], and the frequency of extreme events. Cool climate winegrowing regions, such as the Pampa region, might benefit under these conditions. However, with more severe warming, the resilience of northern Argentinian wine regions might necessitate a shift from lowlands to the higher slopes of the Andes [10,11]. In contrast, the Atlantic sector will present limited opportunities for winemaking [4,12]. Expanding into newly suitable areas could involve moving southward into Argentinian Patagonia [10,11].
The ongoing rise in global temperatures has led to significant shifts in grapevine varieties also, impacting key stages of their lifecycle, effects on the timing of budbreak, bloom, fruit set, veraison, and harvest. Temperature plays a significant role in vine phenology, as noted by [13], with numerous studies [14,15,16,17] agreeing on its role in accelerating the progression of phenological stages. This alteration moves the ripening phase to hotter periods during the summer, impacting the composition of grapes, especially concerning aroma compounds. Heightened water stress leads to decreased yields and alters the composition of fruits [17]. In Bordeaux, the phenology of grapevines has tended towards earlier phenological events, a shortening of phenological intervals, and a lengthening of the growing season. The composition and quality trends were mostly described by increases in the number of warm days during floraison and veraison and a reduction in precipitation during maturation season [18].
The study of [19] found that both mean and maximum temperatures provided useful temperature indexes for correlations between the timing of the major phenological stages and temperature. They found the best relationships between temperature and interval length were for the budburst to flowering interval. Another research [20], focused on investigating the relationship between temperature and the phenological interval lengths between budburst, flowering, veraison and maturity, to identify the interval most influenced by temperature change. [21] found that higher temperatures were associated with an increase in flower abortion. This suggested that wine grape yields may potentially decrease in warmer climates due to the increased incidence of flower abortion.
According to [22], the initiation of budbreak, flowering, and veraison is influenced by temperature, impacting the timing of harvest, yield outcomes, and composition. Consequently, thermal conditions govern the length of phenological phases, stages, or occurrences, ultimately determining the duration of the growing season.
One of the most notable impacts of temperature increase on red grape varieties is the advancement of budbreak. Warmer temperatures during winter and early spring can accelerate bud development, leading to earlier budburst compared to historical patterns. This shift in phenology has implications for vineyard management practices, such as pruning and frost protection, as the timing of budbreak sets the stage for the entire growing season.
Flowering, another critical stage in the grapevine lifecycle, is also influenced by rising temperatures. Elevated temperatures can hasten the onset of flowering, leading to a shorter duration between budbreak and bloom. This condensed flowering period may impact pollination and fruit set, potentially affecting yield and grape quality.
Furthermore, the process of fruit set, where flowers transition into developing berries, can be affected by temperature variations. Higher temperatures during this stage can influence pollination success and affect the number of berries per cluster, ultimately impacting grape yield and cluster morphology.
Additionally, the period of veraison, when grapes undergo color change and begin to accumulate sugars, can occur earlier in response to warmer temperatures. This premature ripening can alter the balance of sugars, acids, and phenolic compounds in the grapes, influencing flavor profiles and overall wine quality. Understanding these temperature-induced shifts in phenology is crucial for grape growers and winemakers to adapt their practices and mitigate potential challenges associated with climate change.
Also, high temperatures can influence key physiological variables of the vine, such as photosynthesis rate and water use efficiency [23]. Excessive transpiration under extreme heat conditions can lead to water stress, affecting the plant’s health and berry quality [15]. These physiological changes can also influence crucial harvest parameters, such as berry size and weight, as well as the chemical composition of the grapes, including levels of anthocyanins and tannins, which are essential for red wine quality [24].
Understanding the effects of temperature increase on parameters such as water potential, stomatal conductance, chlorophyll content, and chlorophyll fluorescence is essential for predicting and managing plant responses to changing environmental conditions.
One of the primary impacts of temperature rise on plants is its influence on water potential, which refers to the free energy of water in plant tissues. Elevated temperatures can exacerbate water stress by increasing evapotranspiration rates and reducing water availability in the soil. This can lead to a decline in plant water potential, affecting various physiological processes and ultimately plant growth and productivity.
Stomatal conductance, the measure of the rate of water vapor movement through leaf stomata, is closely linked to water potential and is also affected by temperature. Higher temperatures can induce stomatal closure as a mechanism to conserve water, reducing the exchange of gases and potentially limiting photosynthesis and carbon assimilation in plants. Furthermore, temperature variations can impact the chlorophyll content of plants, influencing their photosynthetic capacity and overall health. Increased temperatures may lead to chlorophyll degradation or alterations in chlorophyll synthesis rates, affecting the efficiency of light absorption and photosynthetic performance.
Additionally, the fluorescence of chlorophyll, a measure of photosystem II (PSII) activity, can be affected by temperature stress. High temperatures can disrupt PSII function, leading to changes in chlorophyll fluorescence parameters such as Fv/Fm (maximum quantum efficiency of PSII), indicating potential stress and damage to the photosynthetic apparatus.
In summary, the effects of temperature increase on water potential, stomatal conductance, chlorophyll content, and chlorophyll fluorescence are interconnected and can significantly impact plant physiology, productivity, and response to environmental stressors.
The impact of climate change induced temperature increase on vineyards is multifaceted and can significantly alter the characteristics and productivity of grapevines. One notable effect is the decrease in yields experienced by grape growers. Higher temperatures can lead to heat stress in grapevines, affecting their growth, development, and overall productivity.
Another consequence of temperature increase in grapevines is the potential increase in pH levels. Warmer temperatures can accelerate the ripening process, leading to higher sugar accumulation in grapes. As sugar levels rise, the acidity of grapes decreases, causing a shift towards higher pH values. This change in pH can impact the sensory qualities of the resulting wines, affecting their taste and overall profile.
It’s essential for grape growers and winemakers to adapt to these temperature-related changes to maintain grape quality and wine production. Strategies such as canopy management, irrigation adjustments, and grape variety selection may be employed to mitigate the effects of temperature increase on yields, pH levels, and Brix in vineyards [25,26,27,28,29,30].
In conclusion, the ongoing temperature rise due to climate change presents challenges for grape cultivation, affecting yields, pH levels, and sugar content in grapes. Understanding and addressing these impacts is crucial for the sustainability and resilience of viticulture in the face of changing environmental conditions.
The objective of this study was to evaluate the effect of temperature increase on the phenology, physiological variables, and yield of Malbec, Syrah, and Bonarda cultivars.
This study focuses on evaluating how high temperatures induced by climate change affect the phenology, physiological variables, and harvest parameters of three red grapes cultivars, Malbec, Syrah, and Bonarda, providing a comprehensive view of the changes and challenges faced by modern viticulture.

2. Results and Discussion

Figure 1 shows the average daily temperature within the canopy for the heated treatment (+T) and control (-T) from September 2019 to March 2020 and from September 2020 to March 2021.
In terms of average daily temperature, +T consistently showed higher average daily temperatures compared to the control throughout the period from September 2019 to March 2020 and from September 2020 to March 2021. This indicated that +T maintained a consistently warmer environment compared to -T throughout the day, showing a sustained impact of +T on increasing temperatures within the canopy environment.
Although higher average daily temperatures could initially enhance physiological processes like photosynthesis, as grapevines generally benefit from warm temperatures up to a certain threshold, prolonged exposure to higher maximum temperatures could potentially lead to heat stress, affecting vine health and grape development negatively over time. Warmer minimum temperatures can impact nighttime recovery processes, potentially leading to increased respiration rates and altered metabolic activities.
Temperatures exceeding 35 °C can have various developmental, physiological, and biochemical effects on grapevines, influenced by interactions with other climate factors such as drought and wind, as well as their timing relative to the vine’s growth stages [31]. When temperatures rise above 40–45 °C, they can impair photosynthesis by damaging photosystem II and lead to irreversible leaf and berry scorching [32], significantly reducing fruit yield [30]. In this work, we confirmed the occurrence of temperatures over 40 oC for at least 8 days during both seasons.
Over the past few decades, rising temperatures have been linked to documented alterations in grapevine growth and physiological development [14,18,33,34].
In this work, during growing season 2019-2020 Bonarda’ shoot length increases steadily for both treatments (Figure 2). However, the +T showed significantly higher growth than -T, especially towards the end of the vegetative growth stage. In terms of Malbec and Syrah, +T resulted in significantly greater shoot length than -T, particularly noticeable divergence starting from mid-October onwards. In growing season 2020-2021, the three cultivars followed a similar pattern to the previous one (Figure 2). Warmer temperatures from +T during this period could have initially increased the photosynthesis rate because the temperatures were within the optimal range for grapevine C3 photosynthesis, which could have led to greater shoot growth by increasing the number of buds per shoot.
Figure 3 showed significant lower predawn water potential values in +T compared to -T, for Bonarda, Malbec, and Syrah. In both growing seasons, similar trends were observed with significantly lower predawn water potential values in +T for all cultivars. Related to midday water potential values were significantly lower in +T compared to the -T for all three cultivars, indicating higher water stress. In 2020, the same pattern persisted with significantly lower midday water potential values +T across all cultivars, reinforcing the observation of increased water stress. These results align with the findings of [30], who demonstrated that vines of the same cultivars exhibited significantly lower leaf and stem water potential at 5:00 pm when they were exposed to natural heatwaves, condition that could trigger xylem cavitation.
Stomatal Conductance (gs) exhibited a significative decrease in vines of the three cultivars subjected to +T compared to -T during 2019-2020 and 2020-2021 growing seasons (Figure 4). On average Bonarda, Malbec, and Syrah +T showed a gs reduction of 32, 21 and 48 % respectively compared to -T. This suggested that the vines under higher temperature kept their stomata closed, likely to reduce water loss, while control vines could keep their stomata open, which probably led to a higher transpiratory rate. Similar findings were reported by [30] and [35], where midday gs was higher in vines treated with overhead spray water using aerial sprinkles that reduced leaf temperature compared to the control vines. In terms of chlorophyll index, Fv/Fm and PI, in this work, were not significantly different comparing +T and -T, suggesting that the vines did not affect their photosynthetic capacity, nor did they suffer from heat stress or photoinhibition.
Figure 5 illustrated the daily trends in stomatal conductance (gs) and water potential (ψa) across three grape varieties under both heated (+T) and control (-T) conditions. Stomatal conductance exhibited higher values under +T compared to -T, peaking at 10:00 h for Bonarda, and at 12:00 h for Malbec and Syrah. Probably, the high temperature treatment increased transpiration and water evaporation through the leaf surface, resulting in reduced water availability to the cells and subsequently lower water potential (ψa). The lower ψa under +T indicated that the plants were experiencing water stress due to increased water loss. The kinetics of gs along a day, showed a negative correlation with water potential, indicating that as stomata began to open, stomatal conductance increased, leading to a decrease in water potential by transpiration water loss. This relationship persisted throughout the study period.
Stomatal conductance and water potential are key indicators of plant response to high temperatures [36]. Stomatal conductance decreases with increasing temperature and water stress, and water potential also decreases with thermal stress, reflecting a lower availability of water in the plants [37].
Figure 6 highlighted the impact of the treatment condition on the phenological stages of Malbec, Syrah, and Bonarda grape cultivars in both seasons. Budbreak occurred earlier under +T condition by 2 weeks compared to -T in both seasons in all cultivars. Although the last spring frost date is occurring earlier around the world, accelerating the initial growth phase of grapevines through high temperature can still increase their risk of suffering from spring frost [1]. Furthermore, bloom and fruit set also occurred earlier under the treatment condition for all cultivars across both seasons. The advancement in these stages suggested that +T promoted faster flowering and quicker transition from flowering to fruit development. In addition, veraison, the stage when grapes begin to ripen, was consistently earlier indicating accelerated ripening under +T for all cultivars in both seasons. The harvest dates exhibited a similar trend and were earlier with +T, causing grape ripening to occur in a warmer part of the summer, which can have undesired effects.
In conclusion, across all phenological stages and grape cultivars tested in this work, +T consistently leads to earlier onset of the all phenological stages compared to -T, by approximately 14 days. This pattern was observed consistently across both growing seasons (2019-2020 and 2020-2021) in the climate conditions of Mendoza, Argentina and were in accordance with those reported by [1], who described that elevated temperatures have been accelerating the progression of all phenological phases in most winegrowing regions around the globe over the past 40 years, leading to an advanced grape harvest by 2–3 weeks. Consequently, this is affecting negatively the grape composition at harvest time. Overall, the acceleration, likely due to higher temperatures, suggests significant impacts of climate change on grapevine growth and development, changing wine quality and style and thus, emphasizing the need for adaptive viticulture strategies.
Figure 7 presents correlation depicting the relationship between TSS and pH from veraison to harvest dates at 2019-2020 season for Bonarda, Malbec and Syrah. Considering the three cultivars together, under +T, they exhibited higher values of TSS and pH for each date, with high R2 (0.86) comparing to -T (R2 = 0.68). This difference could be attributed to the fact that during the maturation period, the thermal integral was, on average, higher for +T (956.05) than for -T (801.53). The results of the present work explain how higher temperatures accelerate grape maturation (Table 2) and shift ripening to a warmer part of the summer (Figure 6). This shift leads to increased pH by malic acid degradation mainly and sugar content in the grapes (Table 3), which ultimately results in higher alcohol levels and wine pH, along with decreased acidity. Similar findings were reported by other researchers [15,38,39] indicating that the changes caused by high temperature may potentially decrease wine quality.
The duration of the different phenological stages varies significantly, not only according to each grape cultivar but also due to the thermal conditions for each specific year and can be important indicators to assess the impact of treatments on the physiology and development of grapes, which is crucial for viticultural production and crop management. As shown in Table 1, the growing season length (GSL) varied from 169 to 198 days in both seasons, depending on the year, cultivar, and treatment. There was no evidence for a change in the interval length of the growing cycle for Syrah during season 2019-2020. On the contrary, Malbec and Bonarda tended to extend it by 5-7 days under +T in both years. Bonarda exhibited the longest growing season in both growing seasons, attributed to its long-cycle nature as a cultivar. Regarding the phenological intervals (BVL and VHL) during 2019-2020, they were consistent across varieties and did not show marked differences between + T and -T. While on 2020-2021 +T augmented the interval of BVL, while VHL did not show differences. Results from [14] demonstrated that despite budbreak and flowering advancing by 15 days in Alsace, France from 1965 to 2003, the overall duration between these phenological stages remained unchanged. Our results contradicted a previous study by [40], which used climate models to predict that future high temperatures may shorten the overall duration of the grapevine growth cycle.
Thermal integrals (TIGSL, TIBVL, TIVHL) represent the accumulation of heat over different phenological periods, with higher values indicating greater heat accumulation, which can significantly influence grape development and ripening. Notably, our findings showed that +T resulted in greater thermal accumulation of TIGSL, TIBVL and TIVHL compared to -T during both years of study. This increased heat leads to an acceleration in grape development and maturation, extending the growing season slightly, and potentially impacting grape quality and wine characteristics.
Table 2 presented results for fruit set (%), number of clusters per plant, cluster weight (g), number of berries per cluster, berry weight (g), fruit yield (kg/plant) at harvest time, and Ravaz index for the seasons 2019-2020 and 2020-2021. Yield components during the growing season 2019-2020 experienced significant decreases due to +T. Specifically, the percentage of fruit set, cluster weight, number of berries per cluster, and fruit yield, decreased by 43.2 %, 19.1 %, 13.6 %, and 29.4 %, respectively, compared to -T. However, there were no differences in the number of clusters nor berry weight between +T vs. and -T. Additionally, the Ravaz index, which indicates vine balance and represents the relationship between fruit yield and pruning weight, decreased with +T by 22,78 % (from 8.52 for -T vines to 6.76 for +T vines), indicating a more balanced vine for the former. [41] established an optimal range for his index, between 5 and 10, to indicate a balanced vine capable of achieving both fruit quality and consistent production.
When comparing the cultivars, Malbec showed the highest fruit set, number of clusters per plant and fruit yield. Along with Syrah cultivar, the cluster weight and number of berries per clusters were significantly higher compared to Bonarda. Conversely, Bonarda showed the highest berry weight in both seasons. The lowest Ravaz index was shown by Malbec, followed by Syrah and Bonarda.
Table 2. Fruit set, number of clusters per plant, cluster weight (g), number of berries per cluster, berry weight (g), fruit yield (kg/ plant) at harvest and Ravaz index in the season 2019-2020 and 2020-2021.
Table 2. Fruit set, number of clusters per plant, cluster weight (g), number of berries per cluster, berry weight (g), fruit yield (kg/ plant) at harvest and Ravaz index in the season 2019-2020 and 2020-2021.
Year 2020
Treatment Fruit Set (%) N° of clusters Cluster weight (g) N° of berries Berry weight (g) Yield (kg/plant) Ravaz Index
+T 29,03 b 65,56 66,71 b 53,75 b 1,26 3,12 b 6,76 b
-T 50,42 a 65,22 82,30 a 62,19 a 1,32 4,42 a 8,52 a
p-value <0,0001 *** 0,936 NS 0,0001 *** 0,014 * 0,276 NS <0,0001 *** 0,0001 ***
Cultivar
Malbec 48,45 a 80,33 a 80,49 a 60,83 a 1,25 b 5,05 a 4,25 c
Syrah 38,46 b 64,00 b 77,84 a 60,79 a 1,09 c 3,29 b 5,70 b
Bonarda 32,26 c 51,83 c 65,51 b 50,79 b 1,54 a 2,97 b 12,97 a
p-value <0,0001 *** 0,0001 *** 0,003 ** 0.011 * <0,0001 *** <0,0001 *** <0,0001 ***
Treatment x Cultivar
+T * Malbec 37,34 cd 81,67 77,10 59,18 1,29 4,60 2,85 d
-T* Malbec 59,57 a 79,00 83,83 62,50 1,20 5,50 5,64 bc
+T * Syrah 39,90 d 65,33 56,01 54,42 1,07 2,53 4,09 cd
-T* Syrah 43,01 bc 62,67 75,01 67,17 1,10 4,05 7,30 bc
+T * Bonarda 15,85 e 49,67 67,02 47,67 1,43 2,24 13,37 a
-T * Bonarda 48,67 b 54,00 86,67 53,92 1,65 3,70 12,61 a
p-value <0,0001 *** 0,727 NS 0,13 NS 0,346 NS 0.068 NS 0,319 NS <0,0001 ***
Year 2021
Treatment Fruit Set (%) N° of clusters Cluster weight (g) N° of berries Berry weight (g) Yield (kg/plant) Ravaz Index
+T 34,21 b 79,67 b 49,84 b 60,22 b 0,86 a 4,01 b 6,62 b
-T 61,53 a 86,89 a 59,57 a 70,39 a 0,89 a 5,16 a 7,75 a
p-value <0,0001 *** 0,004 ** <0,0001 *** <0,0001 *** 0,265 NS <0,0001 *** 0,003 ***
Cultivar
Malbec 60,43 a 109,67 a 53,27 b 60,00 b 0,89 b 5,96 a 4,39 b
Syrah 44,59 b 75,17 b 48,01 c 81,00 a 0,59 c 3,72 b 5,13 b
Bonarda 38,58 c 65,00 c 62,83 a 54,92 b 1,14 a 4,07 b 12,03 a
p-value <0,0001 *** <0,0001 *** <0,0001 *** <0,0001 *** <0,0001 *** <0,0001 *** <0,0001 ***
Treatment x Cultivar
+T * Malbec 46,34 c 105,67 49,04 55,75 0,88 5,55 ab 3,18 c
-T * Malbec 74,52 a 113,67 57,5 64,25 0,9 6,38 a 5,61 b
+T* Syrah 36,54 d 70,00 43,17 73,25 0,59 3,34 cd 3,81 c
-T * Syrah 52,65 bc 80,33 52,85 88,75 0,6 4,11 cd 6,46 b
+T* Bonarda 19,74 e 63,33 57,3 51,67 1,11 5,00 b 12,88 a
-T* Bonarda 57,43 b 66,67 68,36 58,17 1,18 3,13 d 11,18 a
p-value 0,001 ** 0,395 NS 0,619 NS 0,306 NS 0,676 NS 0,018 ** 0,0001 ***
Values are expressed as average (n = 3). Different letters within the same column indicate significant differences among Treatment (+T, -T), Cultivar (Malbec, Syrah and Bonarda) and Treatment x Cultivar interaction. Tukey test p ≤ 0,05 (*), p ≤ 0.01 (**), p ≤ 0.001 (***), and NS indicates not significant.
Fruit set was the variable that exhibited interaction between treatment and cultivar, being statistically lower for +T compared to -T for the three cultivars in both years. In terms of the Ravaz index Temp * Malbec and Temp * Syrah showed the lowest value relative to its respective -T vines, indicating more vegetative plants compared to Bonarda, which presented highly productive vines.
Growing season 2020-2021 confirmed the results of the previous 2019-2020 season, showing the same significantly reduction for all the variables, including the number of clusters per plant, in +T compared to -T vines. Malbec also showed the highest values of fruit set, number of clusters per plant, berry weight and yield compared to Syrah and Bonarda. Again, Bonarda showed the highest value for berry fresh weight.
These findings demonstrate that the elevated temperatures resulting from the active heating treatment, particularly during November when fruit set occurs in the Southern Hemisphere, caused a reduction in the fruit set percentage. Consequently, although berries presented the same weight comparing +T and -T, there were a significative lower number of them at harvest, leading to lighter clusters. This ultimately resulted in diminished yields for the plants subjected to the temperature treatment by 25.85 % in comparison to the control ones in both growing seasons.
Numerous studies have evaluated the impact of heating on yield and have hypothesized that losses could be even more severe when high temperatures, due to heatwaves, occur during or immediately after flowering, causing flower abortion and a reduction in bunch biomass [42,43]. Yield losses ranging from 24 to 45 % have been well documented during increasing temperatures due to heatwaves [30,32,44]. Nevertheless, according to Cameron et al., (2021), as the springtime maximum temperatures increase, the effect on this phenological stage could be not uniform and may depend on the cultivar and region, being necessary that viticulturists will tailor to their individual situation.
Insights into the response of grapevine phenology at both at vineyard level and for different cultivars will further our ability to adapt and help to identify techniques to delay or ameliorate these climate induced changes.
Climate change has a two-fold impact on the ripening period due to (i) generally increasing air temperatures and (ii) the shift of the ripening period toward earlier, typically warmer parts of the season. This effect is particularly evident during the ripening period in recent years [45]. Understanding these temperature variations is crucial for assessing the impact of the heated treatment on grapevine physiology and overall vineyard performance
Table 3 shows results for Total Soluble Solids (TSS) in °Brix and pH levels across +T and. -T, cultivars (Malbec, Syrah, Bonarda), and their interactions for the growing-season 2019-2020 and 2020-2021.
During the first harvest in 2020, average TSS was significantly higher in +T (25.78 °Brix), than in -T (24.28 °Brix). In terms of cultivars, Syrah showed the highest TSS (27.80 °Brix), followed by Malbec (24.68 °Brix), while Bonarda had the lowest (22.60 °Brix). In 2021 average TSS was 23.87 °Brix for +T, which was again significantly higher than -T (23.29 °Brix). Syrah again showed the highest TSS (25.83 °Brix), followed by Malbec (24.30 °Brix), and Bonarda had the lowest (20.47 °Brix). Across both seasons, +T consistently resulted in higher TSS levels compared to -T, indicating that the treatment induced a significantly higher sugar accumulation in the grapes. However, pH levels did not show any significative differences between treatment, cultivars and their interaction.
Different grape cultivars exhibited significant variability in both TSS and pH levels across the years. Syrah generally showed higher TSS and lower pH compared to Malbec and Bonarda, reflecting inherent varietal differences in sugar content and acidity.
While trends in TSS and pH were consistent between years under the same treatment, slight variations in average values and significance levels highlight potential yearly climatic influences on grape composition.
Table 3. Content of Total Soluble Solid (°Brix) and pH of in the season 2019-2020 and 2020-2021.
Table 3. Content of Total Soluble Solid (°Brix) and pH of in the season 2019-2020 and 2020-2021.
Year 2020 Year 2021
Treatment TSS (°Brix) pH TSS (°Brix) pH
Temp 25,78 b 3,81 b 23,87 b 3,61 b
Ctl 24,28 a 3,62 a 23,29 a 3,49 a
p-value <0,0001 *** 0,000 *** <0,0001 *** 0,030 **
Cultivar
Malbec 24,68 b 3,73 24,30 a 3,63
Syrah 27,80 a 3,70 25,83 b 3,47
Bonarda 22,60 c 3,72 20,47 c 3,54
p-value <0,0001 *** 0,746 NS <0,0001 *** 0.059 NS
Treatment x Cultivar
Temp * Malbec 25,27 3,82 24,67 3,66
Ctl * Malbec 24,10 3,64 23,93 3,59
Temp * Syrah 28,40 3,81 26,07 3,59
Ctl * Syrah 27,20 3,59 25,6 3,35
Temp * Bonarda 23,67 3,82 20,07 3,53
Ctl * Bonarda 21,53 3,63 20,87 3,56
p-value 0,200 NS 0,877 NS 0,612 NS 0,200 NS
Values are expressed as average (n = 3). Different letters within the same column indicate significant differences among Treatment (+T, -T), Cultivar (Malbec, Syrah and Bonarda) and Treatment x Cultivar interaction. Tukey test p ≤ 0,05 (*), p ≤ 0.01 (**), p ≤ 0.001 (***), and NS indicates not significant.
In previous works were found that higher temperatures during the growing season promoted a decrease in the grape berry total acidity content [46,47], upward trends in sugar content [18] and a decoupling between technological and phenolic maturity [48]. An increase in soluble solids content would likely lead to more alcoholic wines, as noted by [14] and [49], who observed that higher temperatures not only advance the harvest date, but also increase alcohol levels in many regions, such as Bordeaux and Alsace in France. Moreover, extreme events during the veraison–maturity period, such as heatwaves, can significantly influence sugar accumulation [50].
Climate change implies that vineyards are increasingly subjected to constraining climate conditions, such as elevated temperature and heatwaves, which would be more frequent and stronger in amplitude [1,30,51].
This study illustrates that the simulated temperature increase, reflecting the IPCC predictions for the end of the century in Mendoza province, will result in adverse impacts. These include the accelerated advancement of all phenological phases, alterations in various physiological parameters, reduced yield accompanied by higher sugar concentration, and lower berries acidity levels. Furthermore, there will be a decrease in plant reserve accumulation.

3. Materials and Methods

3.1. Experimental Site

The experiment was conducted in an experimental vineyard at the Faculty of Agricultural Science of the National University of Cuyo located in Luján de Cuyo in Mendoza province in western Argentina (33°00’30.2”S and 68°52’20.9”W). Eight-year-old own-rooted Vitis vinifera cultivars: Malbec (ML) (clone N° 2), Syrah (SY) (clone N° 84), and Bonarda (BO) (clone N° 9) were used for the experiment. Vines were spaced at 1 m intervals within rows and 2.2 m between rows, all oriented north-south and were managed with spur pruning, employing a fruit load adjustment tailored to the individual vigor of each plant, utilizing a bilateral cordon system with shoots vertically positioned.
Previous to budbreak, flowering, fruit set and post-veraison stages, all vines were drip irrigated for 48 h. Drip distance was 1 m and water application rate was 2 L h-1. Air temperature was measured by two temperature sensors (iButton 1 Wire® Thermochron® Maxim Integrated USA) placed sheltered inside plastic boxes avoiding direct sun exposure and installed at either end of each row. The experiment was performed during the growing seasons 2019-2020 and 2020-2021 from budbreak until harvest (September to March).

3.2. Experimental Design

The experimental design consisted of a randomized plot of 6 rows (3 rows for treated temperature and 3 rows for control) with 6 plants per row, respectively. The experimental unit consisted of one plants of the same cultivar per row. Three replicates of each treatment were used. Treatment consisted of an active heating system (+T) that involved the circulation of hot water through a serpentine-like structure composed of polypropylene tubes attached to the vineyard structure, creating a successful controlled temperature rise within the range predicted by the RCP4.5 model, according to [52]. In contrast, control treatment was not heated (-T). The treatment +T started 1 months before sprouting and extended until the harvest.
Phenological stages were determined at the onset of budbreak, bloom, fruit-set, veraison, and harvest in both seasons for the three cultivars under heat (+T) and control (-T).

3.3. Vegetative and Physiological Measurements

The shoot length (cm) and the number of buds were assessed from budbreak in vines under treatment and control in the three cultivars from September to December in both years.
Monthly, leaf water potential (LWP) was measured at 5 am (pre-dawn), 8 am, 11 am, 2 pm and 5 pm in both growing seasons. Completely healthy, dry and mature leaves were randomly selected from the middle of the canopy at the first training wire for measurement. Each leaf was placed in a plastic bag and sealed prior to removal by cutting the petiole with a razor blade. Leaves were immediately placed in a pressure chamber operated in the field (Model 4, Biocontrol) to assess water potential. Stem Water Potential (SWP) was measured at midday (Mendoza, South Hemisphere) from 14:00 to 15:00 after the intact leaves had been covered with aluminum foil for 30 min prior to leaf removal and measurement.
Relative chlorophyll content (CC) of leaves was measured with the SPAD-502 Plus, (Konica Minolta, Osaka, Japan) in duplicate for each replicate at 11 am and 5 pm. Stomatal Conductance (gs) (SC1 Leaf Porometer, Decagon Devices, Pullman, WA, USA) was measured on leaves four times per day at 8 am, 11 am, 2 pm and 5 pm on both year during the growing season. Chlorophyll fluorescence measurements (Fv/Fm ratio and Performance Index on absorption basis (PI abs)) were done after 20 min of dark exposure at 11 am and 5 pm.
The evolution of stomatal conductance and water potential was also evaluated at different times during both growing seasons.

3.4. Inflorescence Set, Fruit Yield, RAVAZ Index, Soluble Solids Contents and pH

To measure the percentage of inflorescence set, each treated shoot per plant was marked and a tulle bag was placed over the basal inflorescence of each shoot in both seasons, from the beginning of flowering [53] until one month after set to collect fallen calyptras and un-set ovaries. The analysis was conducted manually as described by [54]. The contents of the bags were poured onto a white surface and the calyptras were separated from the aborted ovaries. Both were counted, and the percentage of aborted ovaries was calculated by the ratio of the number of un-set ovaries to the number of flowers in the inflorescence x 100. The percentage of set (proportion of flowers that set a berry) was calculated after harvest as the ratio of the number of flowers in the inflorescence to the final number of berries harvested from the marked cluster x 100.
The clusters were harvested when the total soluble solids (TSS) of -T reached 24 °Brix + 2. They were measured by refractometry (°Brix) (Atago®, Master –T Japan), and pH using a pHmeter (Altronix®). Cluster fresh weight (FW) and the number of berries per cluster were determined. Total berries fresh weight and the number of berries were recorded.
Ravaz index was used to evaluate the balance between grape yield and vine vigor. It was calculated as the ratio of the weight of the fruit (fruit grape yield) to the weight of the vine’s pruning wood (vegetative growth), according to the next formula:
R a v a z i n d e x = Y i e l d ( k g / v i n e ) / P r u n i n g w e i g h t ( k g / v i n e )
Calculation of growing degree days was carried out for GDD in base 10 °C as follow:
GDDx=∑01/01nTmeanx
where T°mean represents the average daily temperature and x the temperature threshold (i.e., 10 °C). For this work, we used GDD10 as an indicator of early thermal accumulation in grapevine.

3.5. Statistical Analysis

Results were subjected to a two-way ANOVA to examine the effects of the treatments, cultivars, and treatment and cultivar interaction. Shapiro-Wilk and Levene Test were performed to determine normality and homoscedasticity. Data are presented as means of three replicates (n = 3). Mean comparisons were performed by Tukey test, considering p ≤ 0.05 (*) significant, p ≤ 0.01 (**) highly significant, p ≤ 0.001 (***) very highly significant, and ‘NS’ not significant.
Rates of shoot elongation, predawn water potential, stem water potential were analyzed as repeated measurements in time, were analyzed using analysis of variance (ANOVA) by mixed linear models with a factorial structure, treating heated treatment, cultivar, and their interactions, as fixed effects, while replicates were treated as random effects. Means comparisons were performed using the DGC test [55]. Data are presented as means + standard error (SE) of three single-plant replicates. Pearson correlation analysis was conducted to test for relationships between pH and TSS. Statistical analysis was performed with the software InfoStat version 2020 [56], R® version 3.5.3 (R Core Development Team) and XLSTAT -Pro statistical package [57].

4. Conclusions

In conclusion, this study demonstrates that the simulated temperature increase (+T) has a significant impact on the phenological and physiological development of Malbec, Bonarda and Syrah grapevine cultivars, as well as on grape yield and quality. The results show that vines under +T experienced an acceleration in all phenological stages, from budbreak to ripening, leading to earlier harvests and maturation under warmer conditions. This acceleration negatively affected grape composition, resulting in higher sugar concentration and lower acidity, which could impact wine quality by increasing alcohol levels and reducing freshness. Additionally, reduced yield, due to lower fruit set and lighter clusters, highlights the adverse effects of elevated temperatures on grapevine productivity.
These findings align with previous studies linking climate change to the advancement of phenological phases and the alteration of plant physiology, affecting both growth and final wine quality. In this context, the need for adaptive viticultural strategies becomes evident to mitigate the effects of global warming. Strategies such as proper irrigation management and techniques to delay ripening or protect plants from thermal stress are essential to maintain vineyard sustainability and wine quality in the future.

Author Contributions

Deolindo Dominguez: Conceptualization, Methodology, Investigation, Data analysis, Data curation, Writing. Leonor Deis:. Data curation, Writing – review & editing. Miguel Cirrincione; Methodology, Investigation. Liliana Martinez: Conceptualization, Methodology, Software Supervision, Resources, Funding acquisition, Project administration, Writing – review & editing.

Funding

This research was funded by Corporation of Viticulture from Argentina (COVIAR) Project No 0130 and National University of Cuyo Project No 06/A708 Res. 4142/2019-R.

Data Availability Statement

data are available on request.

Acknowledgments

The authors would like to thank the students: Ramón Cortegoso, Daniela Corinaldesi, Guadalupe Molina, Diego Cantú, Augusto Parmesano, Lucas Mucarzel, Micaela Astorga, Virginia Aranda, Gabriel Ledda and Ezequiel Blaskovich, for their assistance as part of their research training internships.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Van Leeuwen, C; Sgubin, G.; Bois, B.; Ollat, N.; Swingedouw, D.; Zito, S.; Gambetta, G.A. Climate change impacts. Nat. Rev. Earth Environ. 2024, 5, 258–275. [Google Scholar] [CrossRef]
  2. Jones, G.V.; White, M.A.; Cooper, O.R.; Storchmann, K. Climate Change and Global Wine Quality. Clim. Chang. 2005, 73, 319–343. [Google Scholar] [CrossRef]
  3. Jones, G. CLIMATE CHANGE IN THE WESTERN UNITED STATES GRAPE GROWING REGIONS. Acta Hortic. 2005, 41–60. [Google Scholar] [CrossRef]
  4. Hannah, L.; Roehrdanz, P.R.; Ikegami, M.; Hijmans, R.J. Climate change, wine, and conservation. Proc. Natl Acad. Sci. USA, 2013, 110, 6907–6912. [Google Scholar] [CrossRef]
  5. Ashenfelter, O.; Storchmann, K. Climate Change and Wine: A Review of the Economic Implications. J. Wine Econ. 2016, 11, 105–138. [Google Scholar] [CrossRef]
  6. White, M.A.; Diffenbaugh, N.S.; Jones, G.V.; Pal, J.S.; Giorgi, F. Extreme heat reduces and shifts United States premium wine production in the 21st century. Proc. Natl. Acad. Sci. 2006, 103, 11217–11222. [Google Scholar] [CrossRef]
  7. Sadras, V.; Petrie, P. Climate shifts in south-eastern Australia: early maturity of Chardonnay, Shiraz and Cabernet Sauvignon is associated with early onset rather than faster ripening. Aust. J. Grape Wine Res. 2011, 17, 199–205. [Google Scholar] [CrossRef]
  8. Palliotti, A.; Tombesi, S.; Silvestroni, O.; Lanari, V.; Gatti, M.; Poni, S. Changes in vineyard establishment and canopy management urged by earlier climate-related grape ripening: A review. Sci. Hortic. 2014, 178, 43–54. [Google Scholar] [CrossRef]
  9. Gomez, M.L.; Hoke, G.; D’ambrosio, S.; Moreiras, S.; Castro, A. Review: Hydrogeology of Northern Mendoza (Argentina), from the Andes to the eastern plains, in the context of climate change. Hydrogeol. J. 2022, 30, 725–750. [Google Scholar] [CrossRef]
  10. Cabré, M.F.; Quénol, H.; Nuñez, M. Regional climate change scenarios applied to viticultural zoning in Mendoza, Argentina. Int. J. Biometeorol. 2016, 60, 1325–1340. [Google Scholar] [CrossRef]
  11. Cabré, F.; Nuñez, M. Impacts of climate change on viticulture in Argentina. Reg. Environ. Chang. 2020, 20, 1–12. [Google Scholar] [CrossRef]
  12. Morales-Castilla, I.; de Cortázar-Atauri, I.G.; Cook, B.I.; Lacombe, T.; Parker, A.; van Leeuwen, C.; Nicholas, K.A.; Wolkovich, E.M. Diversity buffers winegrowing regions from climate change losses. Proc. Natl. Acad. Sci. 2020, 117, 2864–2869. [Google Scholar] [CrossRef] [PubMed]
  13. E Parker, L.; McElrone, A.J.; Ostoja, S.M.; Forrestel, E.J. Extreme heat effects on perennial crops and strategies for sustaining future production. Plant Sci. 2020, 295, 110397. [Google Scholar] [CrossRef] [PubMed]
  14. Duchêne, E.; Schneider, C. Grapevine and climatic changes: a glance at the situation in Alsace. Agron. Sustain. Dev. 2005, 25, 93–99. [Google Scholar] [CrossRef]
  15. Mira de Orduña, R. Climate change associated effects on grape and wine quality and production. Food Research International, 2010, 43(7), 1844–1855.
  16. Pieri, P. Changement climatique et culture de la vigne: l’essentiel des impacts. In Changement Climatique, Agriculture et Forêt en France: Simulations d’Impacts sur les Principales Espèces, Brisson, N., and F. Levrault (Eds.), Livre Vert du projet CLIMATOR (2007–2010), Angers, France: Ademe Editions, 2010, 213–223.
  17. Van Leeuwen, C.; Darriet, P. Impact of climate change on viticulture and wine quality. Journal of Wine Economics, 2016, 11(1), 150–167.
  18. Jones, G.V.; Davis, R.E. Using a synoptic climatological approach to understand climate-viticulture relationships. Int. J. Clim. 2000, 20, 813–837. [Google Scholar] [CrossRef]
  19. Cameron, W.; Petrie, P.R.; Barlow, E.; Howell, K.; Jarvis, C.; Fuentes, S. A comparison of the effect of temperature on grapevine phenology between vineyards. OENO One 2021, 55, 301–320. [Google Scholar] [CrossRef]
  20. Cameron, W.; Petrie, P.; Barlow, E. The effect of temperature on grapevine phenological intervals: Sensitivity of budburst to flowering. Agric. For. Meteorol. 2022, 315. [Google Scholar] [CrossRef]
  21. Merrill, N.K.; de Cortázar-Atauri, I.G.; Parker, A.K.; Walker, M.A.; Wolkovich, E.M. Exploring Grapevine Phenology and High Temperatures Response Under Controlled Conditions. Front. Environ. Sci. 2020, 8. [Google Scholar] [CrossRef]
  22. Droulia, F.; Charalampopoulo, I. A Review on the Observed Climate Change in Europe and Its Impacts on Viticulture. Atmosphere, 2022, 13(5), 837.
  23. Schultz, H. Climate change and viticulture: A European perspective on climatology, carbon dioxide and UV-B effects. Aust. J. Grape Wine Res. 2000, 6, 2–12. [Google Scholar] [CrossRef]
  24. Coombe, B.; McCARTHY, M. Dynamics of grape berry growth and physiology of ripening. Aust. J. Grape Wine Res. 2000, 6, 131–135. [Google Scholar] [CrossRef]
  25. Ojeda, H.; Deloire, A.; Carbonneau, A. Influence of water deficits on grape berry growth. Vitis -Geilweilerhof, 2001, 40(3), 141-145.
  26. Deis, L.; Cavagnaro, B.; Bottini, R.; Wuilloud, R.; Silva, M.F. Water deficit and exogenous ABA significantly affect grape and wine phenolic composition under in field and in-vitro conditions. Plant Growth Regul. 2011, 65, 11–21. [Google Scholar] [CrossRef]
  27. Deis, L.; Cavagnaro, J.B. Effect of water stress in grape berries Cabernet Sauvignon (Mendoza, Argentina) during four years consecutives. Journal of Life Sciences, 2013, 7(9), 993.
  28. Martinez, F.; Toda, J.G.; Balda, P. Preliminary results on forcing vine regrowth to delay ripening to a cooler period. Vitis, 2019, 58, 17–22. [Google Scholar]
  29. Morgani, M.B.; Peña, J.E.P.; Fanzone, M.; Prieto, J.A. Pruning after budburst delays phenology and affects yield components, crop coefficient and total evapotranspiration in Vitis vinífera L. cv. ‘Malbec’ in Mendoza, Argentina. Sci. Hortic. 2022, 296, 110886. [Google Scholar] [CrossRef]
  30. Wilson, A.; Dizy, M.; Dominguez, D.; De Rosas, M.I.; Baldo, Y.; Garcia, L.; Gargantini, R.; Deis, L.; Martinez, L. Overhead spray water treatment as a mitigation strategy to alleviate vine stress and safeguard grape quality during heatwaves. OENO One 2024, 58. [Google Scholar] [CrossRef]
  31. Venios, X.; Korkas, E.; Nisiotou, A.; Banilas, G. Grapevine Responses to Heat Stress and Global Warming. Plants 2020, 9, 1754. [Google Scholar] [CrossRef]
  32. Webb, L.; Watt, A.; Hill, T.; Whiting, J.; Wigg, F.; Dunn, G.; Needs, S.; Barlow, S. Extreme heat: managing grapevine response based on vineyard observations from the 2009 heatwave across south-eastern Australia. Wine Vitic. J., 2009, 54, 39–50. [Google Scholar]
  33. Nemani, R.R.; White, M.A.; Cayan; Jones, G.V.; Running, S.W.; Coughlan, J.C.; Peterson, D.L.; Cayan, D.R. Asymmetric warming over coastal California and its impact on the premium wine industry. Clim. Res. 2001, 19, 25–34. [Google Scholar] [CrossRef]
  34. Duchêne, E.; Huard, F.; Dumas, V.; Schneider, C.; Merdinoglu, D. The challenge of adapting grapevine varieties to climate change. Clim. Res. 2010, 41, 193–204. [Google Scholar] [CrossRef]
  35. Cogato, A.; Wu, L.; Jewan, S.Y.Y.; Meggio, F.; Marinello, F.; Sozzi, M.; Pagay, V. Evaluating the Spectral and Physiological Responses of Grapevines (Vitis vinifera L.) to Heat and Water Stresses under Different Vineyard Cooling and Irrigation Strategies. Agronomy 2021, 11, 1940. [Google Scholar] [CrossRef]
  36. Lambers, H.; Chapin III, F.S.; Pons, T.L. Plant Physiological Ecology, 2nd edition. Springer, New York, 2008.
  37. Schulze, E.-. .-D.; Lange, O.L.; Kappen, L.; Buschbom, U.; Evenari, M. Stomatal responses to changes in temperature at increasing water stress. Planta 1973, 110, 29–42. [Google Scholar] [CrossRef]
  38. Ruffner, H.P. Metabolism of tartaric and malic acids in Vitis: a review — part A. Vitis 1982, 21, 247–247. [Google Scholar]
  39. van Leeuwen, C.; Destrac-Irvine, A.; Dubernet, M.; Duchêne, E.; Gowdy, M.; Marguerit, E.; Pieri, P.; Parker, A.; de Rességuier, L.; Ollat, N. An Update on the Impact of Climate Change in Viticulture and Potential Adaptations. Agronomy 2019, 9, 514. [Google Scholar] [CrossRef]
  40. Bindi, M.; Fibbi, L.; Miglietta, F. Free Air CO2 Enrichment (FACE) of grapevine (Vitis vinifera L.): II. Growth and quality of grape and wine in response to elevated CO2 concentrations. Eur. J. Agron. 2001, 14, 145–155. [Google Scholar] [CrossRef]
  41. Ravaz, M.L. L’effeuellage de la vigne. Annales d L’Ecole Nationale d’agriculture de Montpellier. 1911, 11, 216–244. [Google Scholar]
  42. Greer, D.H.; Weston, C. Heat stress affects flowering, berry growth, sugar accumulation and photosynthesis of Vitis vinifera cv. Semillon grapevines grown in a controlled environment. Funct. Plant Biol. 2010, 37, 206–214. [Google Scholar] [CrossRef]
  43. Greer, D.H. Responses of biomass accumulation, photosynthesis and the net carbon budget to high canopy temperatures of Vitis vinifera L. cv. Semillon vines grown in field conditions. Environ. Exp. Bot. 2017, 138, 10–20. [Google Scholar] [CrossRef]
  44. Fraga, H.; Molitor, D.; Leolini, L.; Santos, J.A. What Is the Impact of Heatwaves on European Viticulture? A Modelling Assessment. Appl. Sci. 2020, 10, 3030. [Google Scholar] [CrossRef]
  45. Molitor, D.; Junk, J. Climate change is implicating a two-fold impact on air temperature increase in the ripening period under the conditions of the Luxembourgish grape growing region. OENO One, 2019, 53, 409–422. [Google Scholar] [CrossRef]
  46. Schultz, H.R.; Jones, G.V. Climate Induced Historic and Future Changes in Viticulture. J. Wine Res. 2010, 21, 137–145. [Google Scholar] [CrossRef]
  47. Leolini, L.; Moriondo, M.; Romboli, Y.; Gardiman, M.; Costafreda-Aumedes, S.; Bindi, M.; Granchi, L.; Brilli, L. Modelling sugar and acid content in Sangiovese grapes under future climates: an Italian case study. Clim. Res. 2019, 78, 211–224. [Google Scholar] [CrossRef]
  48. Petrie, P.; Sadras, V. Advancement of grapevine maturity in Australia between 1993 and 2006: putative causes, magnitude of trends and viticultural consequences. Aust. J. Grape Wine Res. 2008, 14, 33–45. [Google Scholar] [CrossRef]
  49. Drappier, J.; Thibon, C.; Rabot, A.; Geny-Denis, L. Relationship between wine composition and temperature: Impact on Bordeaux wine typicity in the context of global warming—Review. Crit. Rev. Food Sci. Nutr. 2017, 59, 14–30. [Google Scholar] [CrossRef] [PubMed]
  50. Greer, D.H.; Weedon, M.M. Does the hydrocooling of Vitis vinifera cv. Semillon vines protect the vegetative and reproductive growth processes and vine performance against high summer temperatures? Functional Plant Biology, 2014, 41(6), 620.
  51. IPCC. Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (ed. Masson-Delmotte, V. et al.), 2021, 3–32 (Cambridge Univ. Press, 2021).
  52. Cirrincione, M..; Arancibia, C.; Dominguez, D.L.E.; Malovini, E.J.; Martínez, L.E. Design and evaluation of an active vineyard heating system to simulate temperature increase in the context of climate change. OENO One 2024, 58. [Google Scholar] [CrossRef]
  53. Coombe, B.G. Growth Stages of the Grapevine: Adoption of a system for identifying grapevine growth stages. Aust. J. Grape Wine Res. 1995, 1, 104–110. [Google Scholar] [CrossRef]
  54. Keller, M. Managing grapevines to optimise fruit development in a challenging environment: a climate change primer for viticulturists. Aust. J. Grape Wine Res. 2010, 16, 56–69. [Google Scholar] [CrossRef]
  55. Rienzo, J.A.; Guzman, A.W.; Casanoves, F. A multiple-comparisons method based on the distribution of the root node distance of a binary tree. J. Agric. Biol. Environ. Stat. 2002, 7, 129–142. [Google Scholar] [CrossRef]
  56. Di Rienzo, J.A; Casanoves, F; Balzarini, M.G; Gonzalez, L; Tablada, M; Robledo, C.W. InfoStat versión 2020. Grupo InfoStat, FCA, Universidad Nacional de Córdoba, Argentina. 2020, URL: http://www.infostat.com.ar.
  57. Lumivero. XLSTAT statistical and data analysis solution. New York, USA. 2024. https://xlstat.com/es.
Figure 1. Average daily temperature within the canopy for the heated treatment (red lines) and control (blue lines) from October to March 2019-2020 (top panel), and October to March 2020-2021 (bottom panel).
Figure 1. Average daily temperature within the canopy for the heated treatment (red lines) and control (blue lines) from October to March 2019-2020 (top panel), and October to March 2020-2021 (bottom panel).
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Figure 2. Cumulative apical shoot length (cm) under heated (solid lines) and control (dashed lines) treatments for Bonarda (green lines), Malbec (blue lines), and Syrah (red lines) from bud break to constant length, in 2019-2020 (A) and 2020-2021 (B) seasons. Dots are average values of cumulative shoot length and bars represent the standard error.
Figure 2. Cumulative apical shoot length (cm) under heated (solid lines) and control (dashed lines) treatments for Bonarda (green lines), Malbec (blue lines), and Syrah (red lines) from bud break to constant length, in 2019-2020 (A) and 2020-2021 (B) seasons. Dots are average values of cumulative shoot length and bars represent the standard error.
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Figure 3. Predawn water potential (upper panels) and midday water potential (SWP) (lower panels) for the heated (red bars) and control (blue bars) treatments for Bonarda, Syrah, and Malbec. Measurements were carried out on November 6, 2019 (left panels) and November 16, 2020 (right panels). Bars represent means of three replicates ± standard error. Asterisks (*) in the heated bars indicate significant differences compared to the control at p < 0.05, according to the DGC test.
Figure 3. Predawn water potential (upper panels) and midday water potential (SWP) (lower panels) for the heated (red bars) and control (blue bars) treatments for Bonarda, Syrah, and Malbec. Measurements were carried out on November 6, 2019 (left panels) and November 16, 2020 (right panels). Bars represent means of three replicates ± standard error. Asterisks (*) in the heated bars indicate significant differences compared to the control at p < 0.05, according to the DGC test.
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Figure 4. Stomatal conductance (gs) (A), chlorophyll index (SPAD) (B), maximum photochemical efficiency of Photosystem II (Fv/Fm) (C), and Photosynthetic Performance Index (PI) (D) for the heated treatments (red bars) and control (blue bars) for Bonarda, Syrah, and Malbec. The gs and SPAD measurements were made on November 16, 2020, while the Fv/Fm and PI measurements were conducted on February 18, 2021. Bars represent means of three replicates ± standard error. Asterisks (*) in the heated bars indicate significant differences compared to the control at p < 0.05, according to the DGC test.
Figure 4. Stomatal conductance (gs) (A), chlorophyll index (SPAD) (B), maximum photochemical efficiency of Photosystem II (Fv/Fm) (C), and Photosynthetic Performance Index (PI) (D) for the heated treatments (red bars) and control (blue bars) for Bonarda, Syrah, and Malbec. The gs and SPAD measurements were made on November 16, 2020, while the Fv/Fm and PI measurements were conducted on February 18, 2021. Bars represent means of three replicates ± standard error. Asterisks (*) in the heated bars indicate significant differences compared to the control at p < 0.05, according to the DGC test.
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Figure 5. Daily evolution of stomatal conductance (gs) (dashed lines) and water potential (ψa) (solid lines) in the heated (red lines) and control (blue lines) treatments for Bonarda, Malbec and Syrah. Measurements were taken on 21st February 2020 - first growing season (left panel) and on 28th December 2020- second growing season (right panel). Each point represents the mean of three replicates ± standard error. Asterisks indicate statistically significant effects between treatments at p < 0.05.
Figure 5. Daily evolution of stomatal conductance (gs) (dashed lines) and water potential (ψa) (solid lines) in the heated (red lines) and control (blue lines) treatments for Bonarda, Malbec and Syrah. Measurements were taken on 21st February 2020 - first growing season (left panel) and on 28th December 2020- second growing season (right panel). Each point represents the mean of three replicates ± standard error. Asterisks indicate statistically significant effects between treatments at p < 0.05.
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Figure 6. Phenological stages occurrence and duration in number of days for Malbec, Syrah and Bonarda cultivars under treatment Heated and Control in seasons 2019/2020 and 20120/2021. Each stage represents 50 % of the clusters reaching the following periods: budburst, flowering, fruit-set, veraison, and harvest.
Figure 6. Phenological stages occurrence and duration in number of days for Malbec, Syrah and Bonarda cultivars under treatment Heated and Control in seasons 2019/2020 and 20120/2021. Each stage represents 50 % of the clusters reaching the following periods: budburst, flowering, fruit-set, veraison, and harvest.
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Figure 7. Correlation between TSS and pH from veraison dates to harvest in the heated treatment (red dots) and control (blue dots) for Bonarda, Malbec and Syrah in the 2019-2020 season.
Figure 7. Correlation between TSS and pH from veraison dates to harvest in the heated treatment (red dots) and control (blue dots) for Bonarda, Malbec and Syrah in the 2019-2020 season.
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Table 1. Growing season length (GSL) (days), bloom-veraison interval length (BVL) (days), veraison-harvest interval length (VHL) (days), thermal integral of the growing season length (TIGSL), thermal integral of the bloom-veraison interval length (TIBVL), thermal integral of veraison-harvest interval length (TIVHL) during seasons 2019-2020 and 2020-2021 of Malbec, Syrah and Bonarda cultivars under Treatment (+T) and Control (-T).
Table 1. Growing season length (GSL) (days), bloom-veraison interval length (BVL) (days), veraison-harvest interval length (VHL) (days), thermal integral of the growing season length (TIGSL), thermal integral of the bloom-veraison interval length (TIBVL), thermal integral of veraison-harvest interval length (TIVHL) during seasons 2019-2020 and 2020-2021 of Malbec, Syrah and Bonarda cultivars under Treatment (+T) and Control (-T).
Season Cultivar Treatment GSL (days) BVL (days) VHL (days) TIGSL TIBVL TIVHL
2019-2020 Malbec +T 176 67 57 2440,78 1090,84 966,59
2019-2020 Malbec -T 169 67 57 2063,63 950,51 764,66
2019-2020 Syrah +T 171 64 54 2395,66 1060,73 821,38
2019-2020 Syrah -T 171 62 58 2085,75 887,67 771,2
2019-2020 Bonarda +T 182 65 65 2529,70 1064,00 1080,20
2019-2020 Bonarda -T 177 64 66 2152,11 908,79 868,72
2020-2021 Malbec +T 180 72 65 2464,37 1068,22 949,91
2020-2021 Malbec -T 175 66 66 2000,81 852,53 771,02
2020-2021 Syrah +T 179 72 65 2454,87 1068,22 949,91
2020-2021 Syrah -T 174 66 66 1993,81 852,53 771,02
2020-2021 Bonarda +T 198 75 81 2667,84 1108,49 1127,05
2020-2021 Bonarda -T 192 67 82 2169,79 865,77 926,76
Values are expressed as average (n = 3). Different letters within the same column indicate significant differences among Treatment (+T, -T), Cultivar (Malbec, Syrah and Bonarda). Tukey test p ≤ 0,05, p ≤ 0.01, p ≤ 0.001.
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