Impact of leaf removal on recovery of young grapevines under heatwave conditions: A study in an ecotron environment
Abstract
One of the primary challenges of climate change faced by viticulture is the rising frequency of extreme weather events, including heatwaves. The aim of this study was to test apical leaf removal as a mitigation strategy during heatwaves based on the hypothesis that reducing total leaf area translates to lower transpirational water losses, thereby improving the water status of young grapevine plants under multiple stress conditions. Two-year-old Sauvignon blanc vines were subjected to progressive severe drought stress in combination with a heatwave (max air temperature 40 °C), which were simulated in a controlled environment. Key physiological parameters, such as pre-dawn water potential, stomatal conductance, Fv/Fm and net assimilation were measured before (acclimation), during and after (recovery) the heatwave. Drought stressed plants reached a maximum pre-dawn water potential of –1.4 MPa. Drought stress negatively affected all physiological parameters, especially stomatal conductance, which was reduced to almost zero for the duration of the stress.
As a consequence, leaf temperatures during the heatwave reached up to 48.8 °C in drought stressed (WS) plants in contrast to well-watered (WW) plants, which reached a recorded maximum of 43.2 °C. Leaf removal had contrasting effects depending on water availability: in WW vines, it reduced cumulative transpiration by 15 %, whereas under drought stress, it had no impact due to near-complete stomatal closure. However, leaf removal positively influenced recovery, since WS leaf removal vines regained stomatal conductance values comparable to WW vines three days after rewatering. By the end of the 5-day recovery period, all physiological parameters in WS plants, whether leaf removal or control, returned to levels comparable to WW vines.
Overall, this work proved that the success of apical leaf removal is highly dependent on water stress level. The practical relevance of this research lies in the necessity of finding ways to mitigate the effects of extreme weather events, especially in a context where irrigation water may be not available and with young vines that are characterised by a still undeveloped root system.
Introduction
Grapevine (Vitis vinifera) is a crop of global economic relevance, with total worldwide exports representing up to 36 billion euros in value in 2023 (OIV, 2023). Climate change and the increasing frequency of extreme weather events, such as heatwaves, are threatening grapevine health and productivity (Jones et al., 2005; Schultz, 2000). Heatwaves, defined by the IPCC as a period of at least two consecutive days with abnormally hot weather (IPCC, 2022), are a particular threat to viticulture, as they often involve multiple stresses at the same time – mainly drought, heat and radiation. This becomes evident in the physiological responses observed during heatwaves, with cellular damage and negative consequences to photosynthesis and water status (Shtai et al., 2024; Venios et al., 2020). However, grapevines have shown remarkable recovery capabilities following heatwave and drought stress, although this depends on several factors including stress intensity, cultivar and phenological stage (Bondada & Shutthanandan, 2012; Dayer et al., 2019; Flexas et al., 1999; Hernández-Montes et al., 2019; Pou et al., 2010). Hernández-Montes et al. (2019) studied the effect and recovery of heat and drought on potted Cabernet-Sauvignon and Riesling vines and showed that physiological parameters such as transpiration and net photosynthesis can fully recover within 1-5 days after a stress event, depending on the timing during the growing season. Similarly, in Flexas et al. (1999) drought stressed plants recovered water potential and net assimilation on the first day of recovery. However, recovery duration is also dependent on stress intensity since, in addition to stomatal conductance, metabolic limitation (e.g., a decrease in the enzymes involved in the Calvin cycle) also plays a role (Flexas & Medrano, 2002; Quick et al., 1992).
Previous studies have highlighted different ways to agronomically manage these stresses. The application of antitranspirants and kaolin proved to be particularly effective (Gutiérrez-Gamboa et al., 2021; Rogiers et al., 2018). Kaolin increases canopy reflectance, thus acting as a sunscreen and thereby maintaining the grapes and canopy at a lower temperature (Palliotti et al., 2014). Antitranspirants, on the other hand, form a thin layer that reduces water loss (Gutiérrez-Gamboa et al., 2021). An interesting secondary effect of antitranspirants is reduced stomatal functionality, lowering transpiration and assimilation. which in turn is associated with delayed berry ripening (Andreotti et al., 2024). Apical leaf removal is another promising canopy management strategy for delaying ripening and mitigating increased temperatures during berry development (Palliotti et al., 2013). In field trials in which leaf area was reduced by between 30 and 40 % during veraison (at approximately 16 °Brix), it was possible to harvest with a reduction in total soluble solids of between 1.1 and 1.4 °Brix compared to the non-defoliated control (Gatti et al., 2019; Palliotti et al., 2013). In Poni et al. (2013), apical leaf removal was performed on potted vines, with a particular focus on net photosynthesis; the results pointed to the presence of a compensation mechanism involving a reduction in leaf area that had a temporary effect on gas exchange, which was at a later timepoint recovered by the increase in efficiency of the remaining leaves. In contrast to kaolin or antitranspirant applications, leaf removal is not vulnerable to wash-off and can also be performed manually, reducing CO2 emissions and the need for machinery. While the impact on berry quality and leaf gas exchanges has been extensively researched, the potential of applying apical leaf removal just before a heatwave to alleviate stress has not yet been investigated.
This study tested the hypothesis that removing the apical leaves of shoots before subjecting grapevine to combined heat and drought stress can help mitigate the anticipated negative effects on grapevine physiology; it aimed to highlight the importance of canopy management as a tool for increasing vineyard resilience in the context of a changing climate.
Materials and methods
1. Plant material and experimental design
The experiment was performed on two-year-old Sauvignon blanc vines grafted on SO4. Vines were grown in 24 L pots containing sandy loam soil (64 % sand, 25 % silt, 11 % clay). In winter, the plants were pruned to five buds. The plants were grown in an open-sided glasshouse (a transparent shelter with no lateral walls) located at the Laimburg Research Centre (Pfatten, Italy), shoot thinning was performed at about BBCH 15, leaving three shoots per plant. In mid-July, they were transferred to the experimental chambers at the terraXcube extreme climate simulation centre in Bolzano, Italy (https://terraxcube.eurac.edu/). Three chambers that were 2.8 m × 3 m × 2.8 m in size were used for the experiment, each chamber being a replicate. Controlled parameters inside the chambers were air temperature, relative humidity, light daylength and radiation intensity (Figure 1). The total duration of the experiment was three weeks. The first week served as an acclimation period, allowing plants to adapt to the ecotron chambers. During this phase, daily minimum and maximum air temperatures were maintained at 15 °C and 30 °C, respectively. The heatwave took place in the second week and was followed by a one-week recovery period. In the two days before the onset of the heatwave, the air temperature range was increased in two steps (Increase day 1 and 2) of 3 °C until daily minimum and maximum temperatures of 24 and 40 °C were reached. These temperatures were maintained throughout the 5-day heatwave, a duration typical for the area according to Zanotelli et al. (2022). After the heatwave, temperatures were restored to 15 °C (daily minimum) and 30 °C (daily maximum) and all pots were irrigated to field capacity on the afternoon of the final day of the heatwave, marking the start of recovery. This approach mimicked conditions typically observed in the field during a precipitation event. Photosynthetic active radiation was maximum at midday with approximately 1,130 µmol m−2 s−1 (with lights gradually turning on at 05:00 and fading out at 20:00) and achieved through LED lights simulating the solar spectrum from 280 to 900 nm. Relative humidity was kept inversely proportional to the temperature curve at between 30 and 60 %. VPD had a respective daily minimum and maximum of 0.7 and 3 kPa during acclimation and ranged from 1.2 to 5.2 kPa during the heatwave. Daily cycles of the climate chamber parameters are summarised in Figure 1.

2. Treatments
This experiment followed a factorial design based on two experimental factors: i) apical leaf removal at two levels: control/no leaf removal (C), and leaf removal (LR), and ii) drought stress at two levels: well-watered (WW) and water stress (WS). The trial was conducted in three separate chambers, each containing four vines, with one vine assigned to each of the four treatment combinations: C + WW, C + WS, LR + WW, and LR + WS.
2.1. Apical leaf removal
Before leaf removal, the leaf area of each plant was estimated. To do this in a non-destructive way, the following protocol was followed: three shoots from extra plants (vines belonging to the same group of the ones used for the experiment) were sampled, after which an image of each leaf of each shoot was obtained separately using a scanner (Seiko Epson Corporation, Japan) and a precision ruler as reference. Subsequently, single leaf area and the length of the midvein were measured with ImageJ (https://imagej.net/) using the analyse particles and the straight line function. Then, a linear regression between leaf area and midvein length was calculated according to Junges and Anzanello (2021) (y = –48.6 + 16.9x with R2 = 0.92, Figure S1).
The midvein of each leaf of the experimental plants was then measured by hand and the individual values were fitted within the regression. This served two purposes: firstly, the sum of the individual leaf areas of a plant allowed the whole plant leaf area to be determined in order to assess the homogeneity of the plants (Figure S2); secondly, by calculating the cumulative leaf area of the shoot, the exact number of leaves to remove to achieve 40 % of leaf area reduction could be determined at a precision of ±1 %. Each vine had approximately 60 leaves, and an average of 25 leaves per plant were removed. Leaf removal was carried out manually (Figure 2) early in the morning of day of experiment (DoE) 5.

2.2. Drought stress
The two water regimes that were maintained during the experiment were intended to resemble irrigation at company level and severe drought stress. The irrigated treatment was kept at a pre-dawn water potential of between 0 and –0.3 MPa, whereas the severely stressed treatment was maintained at a pre-dawn water potential of below –0.8 MPa. Irrigation in WS treatments was stopped on DoE 2. When target water potential was reached, the water status was maintained by watering the vines daily with a volume of water equal to that lost during the day via transpiration (see section 3.2. and Table S1).
3. Measured parameters
3.1 . Leaf physiological parameters
The following physiological and biophysical parameters were measured at leaf level: i) maximum quantum yield of PSII (Fv/Fm), ii) stomatal conductance to water vapour (hereafter referred to simply as stomatal conductance) (mmol m−2 s−1), iii) leaf temperature (°C), and iv) net assimilation (µmol m−2 s−1). For each vine, three fully developed leaves between the third and sixth node of the shoots were chosen and tagged, and the aforementioned parameters were measured consistently throughout the experiment.
Fv/Fm was measured every second day using a portable fluorometer (Handy PEA+, Hansatech Instruments Ltd., England) with clips left on the leaves for 20 min for dark adaptation. Stomatal conductance (gs) was measured every second day (every day during the heatwave) using a Decagon SC-1 leaf porometer (Decagon Devices, Inc., USA). Leaf surface temperature (Tleaf) was measured every second day using a Extech 42512 (Teledyne FLIR LLC) infrared thermometer on the central lobe of each tagged leaf. Assimilation (A) was measured at the beginning of the experiment (DoE 2), at the beginning and end of the heatwave (DoE 11 and 15, respectively) and on the first and last day of recovery (DoE 16 and 20). For these measurements, a Walz GFS-3000 infrared gas analyser (Heinz Walz GmbH, Germany) was used and the following conditions in the leaf cuvette were set: a photosynthetic photon flux density (PPFD) of 1,000 µmol m−2 s−1, a CO2 mole fraction of 450 µmol mol−1, an airflow rate of 750 µmol s−1, and a cuvette temperature based on ambient values (Shtai et al., 2024).
Pre-dawn water potential (Ψpd, in MPa) was measured every second day using a Scholander pressure chamber (Plant Water Status Console Series 3000, Soilmoisture Equipment Corp., USA), following the methodology described in Deloire et al. (2020). Pre-dawn measurements were performed on one non-tagged mature leaf per vine from the centre of the canopy (i.e., between the third and the tenth node).
3.2 . Whole-plant transpiration and soil water potential
Each pot was placed on a customised lysimeter (Umwelt-Geräte-Technik GmbH, Germany) equipped with a WZ 1042 load cell (MessTechnik Sauerland GmbH, Germany) to measure weight differences over time (one measurement per minute). The weight loss was considered to be equal to total vine transpiration, since the pots were covered with aluminum foil to ensure the evaporation component from the soil was negligible. Daily transpiration was calculated as difference between the weight at sunrise and the weight at sunset. The calculation of this difference accounted for the exact volume of irrigation water applied to each plant per day (Table S1). Further, the cumulative water loss during the course of the experiment was calculated by summing the daily transpiration volume over time to assess the total water loss of the different treatments.
Soil water potential (MPa) was measured with three FRT 15D full range tensiometers (Umwelt-GeräteTechnik GmbH, Germany) per pot. All three sensors were placed at a depth of approximately 15 cm around the stem of the vine, and the measurements were made every five minutes.
4. Statistical analysis
Data was analysed using R (R Core Team, 2021). To test for differences between treatments, linear mixed-effects models were created for each parameter using the nlme package (Pinheiro et al., 2024). The fixed effects included leaf removal, water status and time as independent variables, while the measured parameter was treated as the dependent variable. To avoid pseudoreplication, the three measurements taken from each plant were averaged. Plants were set as a random factor. Models were checked for normality, homoscedacity and autocorrelation. Subsequently, the estimated marginal means were calculated using the emmeans package (Lenth, 2024). Based on this, pairwise comparisons were performed using Tukey’s Honestly Significant Difference (HSD) post-hoc test within the multcomp package (Hothorn et al., 2008). Significance of interactions between the experimental factors was tested by performing a two-way ANOVA. Subsequently, two sets of pairwise comparisons (with α = 0.05) were made to distinguish between the experimental factors: i) effect of water status within each leaf removal treatment, and ii) effect of leaf removal within each water treatment.
Results
1. Soil and vine water status
The water potential dynamics were similar in terms of pre-dawn water potential and soil water potential (Figure 3). In the water stress (WS) treatments, irrigation was stopped on the second day of the experiment, with soil water potential decreasing to approximately –0.15 MPa by day 5, and pre-dawn water potential decreasing to approximately –0.6 MPa by day 7. Both types of water potential decreased progressively until day 12. The decrease in soil water potential in WS nondefoliated vines appeared to be greater than in WS leaf removal vines, reaching –1.1 MPa and –0.84 MPa on DoE 11, respectively. On day 12, due to the onset of basal leaf senescence in WS treatments at a pre-dawn water potential of approximately –1 MPa and a soil water potential of between –0.9 and –1 MPa, “emergency irrigation” was carried out. This irrigation event resulted in a temporary increase in the respective pre-dawn and soil water potential values on day 13 (Figure 3). In contrast to soil water potential, pre-dawn water potential subsequently decreased further, reaching a maximum stress level of about –1.4 MPa in the morning of the last day of the heatwave. Finally, all the pots were watered to field capacity for the recovery period and the water potentials of WS plants returned to WW levels. No significant differences were found between the different leaf removal treatments of the same irrigation regime.

2. Leaf physiological parameters
Stomatal conductance decreased drastically with decreasing water availability (Figure 4). At the onset of the heatwave (DoE 11), the water-stressed plants reached a minimum of approximately 30 mmol m−2 s−1, which was maintained until recovery, with the exception of a slight peak on day 13 due to the aforementioned emergency irrigation event. In comparison, WW treatments had a mean gs of approximately 460 mmol m−2 s−1 during the heatwave. During the recovery period, the gs values of water-stressed plants increased steadily and were back on par with the WW plants by the end of the experiment. Though only statistically significant on day 12, defoliated vines in the WW treatments generally showed higher gs values when compared with those from non-defoliated control vines in the first 10 days after leaf removal (Figure 4). Mean gs during the heatwave was about 497 mmol m−2 s−1 in WW leaf removal and 412 mmol m−2 s−1 in WW control. In WS vines, on the other hand, no differences between the leaf removal treatments were observed due to drought-related stomatal closure (i.e., the interaction between drought stress and leaf removal was not significant). However, WS leaf removal vines recovered stomatal conductance more quickly than WS control vines. On the third day of recovery (DoE 18), there were no significant differences in gs between WS leaf removal and WW leaf removal, whereas WS control vines still showed a significantly lower gs value as compared to the other treatments). On the last day of recovery no significant differences were found between treatments.

As expected, leaf temperature was also severely impacted by water status, which was especially visible during the heatwave (Figure 5). With a daily maximum air temperature of 40 °C, leaf surface temperature was on average 39 °C in the well-watered plants and 44 °C in the water-stressed ones. During the heatwave, the highest single recorded leaf temperature in the water-stressed plants was 48.8 °C, whereas the maximum recorded leaf temperature in the well-watered plants was 43.2 °C. No significant differences were observed between the leaf removal treatments and their respective non-defoliated control, and the interaction between drought stress and leaf removal was not significant.

Similar to stomatal conductance, measured net assimilation was drastically reduced by water stress (mean leaf assimilation of WS vines during the heatwave was 0.4 µmol m−2 s−1). In WW vines, mean leaf assimilation during the heatwave was 11.5 µmol m−2 s−1 and 9.3 µmol m−2 s−1 for leaf removal and the control, respectively. It worth noting that assimilation almost doubled with temperature increase and high water availability (Figure 6). On the first day of recovery, net assimilation in WS vines returned to 35 % of values measured in WW vines. By the end of the recovery period, net assimilation rate in WS vines recovered to about 76 % of values measured in WW vines. No significant effect of leaf removal and on net assimilation was recorded. Similarly, the interaction between drought stress and leaf removal was not significant.

Fv/Fm in well-watered plants remained at about 0.80 during the course of the experiment with no differences between leaf removal and control. Fv/Fm in water-stressed plants deteriorated significantly when in combination with heat stress (Figure 7). Water stress significantly lowered Fv/Fm in both leaf removal and control vines. However, the effect of leaf removal in the WS treatments was also significant, with defoliated vines showing higher values than the non-defoliated control, and with observed mean Fv/Fm values of 0.76 and 0.71 for the leaf removal and control, respectively, on the last day of the heatwave. The day following rewatering, the values for Fv/Fm in WS vines were back on a par with those measured in the WW treatments.

3. Whole-plant transpiration
Daily transpiration per vine was greatly influenced by air temperature and water availability. During the acclimation phase before leaf removal, all treatments showed an average transpiration of about 500 g water per day per vine. With progressing drought stress, daily transpiration of WS treatments decreased until a plateau of about 100 g per day was reached, which was maintained until recovery. In WW plants on the other hand, daily transpiration increased to about 1,100 g during the heatwave (Figure 8A). The effect of leaf removal was significant in WW treatments with mean daily transpirational water losses being lower in leaf removal vines than the non-defoliated control. However, in WS treatments, no significant differences were observed between the leaf removal and control vines. Although the interaction between water treatment and leaf removal did not reach levels of statistical significance (p = 0.0603), the trend suggests a potential interaction that may support these observations. During the acclimation period following leaf removal, mean daily transpirational water losses in WW defoliated vines were 36 % lower than in the non-defoliated controls. During the heatwave, transpirational water losses were 16 % lower in WW defoliated vines compared to the controls. Similarly, the cumulative water loss was significantly lower in WW leaf removal plants than in WW control in the heatwave and recovery phase (Figure 8B). Leaf removal in WW plants was responsible for a decrease in 14.6 % in transpirational water losses during the course of the whole experiment.

Discussion
This study focused on two experimental factors (vine water status and leaf removal) in the face of a 5-day heatwave. Key physiological parameters were monitored before, during and after the heatwave. Drought stress significantly lowered water potential, stomatal conductance and photosynthesis. Apical leaf removal, on the other hand, showed potential as a short-term measure to reduce water use under well-watered conditions but was less effective under drought stress because of stomatal closure. Due to the complexity of the influence of the treatments on the measured parameters, the discussion will focus on each of the two experimental factors separately.
1. Drought stress
In the present study, drought stress had a significant effect on all measured physiological parameters. Both the leaf pre-dawn and soil water potentials confirmed that severe water stress occurred during the heatwave (Deloire et al., 2020), with the pre-dawn water potential reaching values as low as –1.01 MPa. The pre-dawn water potential in WW plants, meanwhile, remained close to 0 MPa. The difference in water potential along the soil-plant-atmosphere continuum (SPAC) is critical for water movement and must be considered when using water potential as a measure of plant water status (Tyree & Ewers, 1991). Water potential and water flux (e.g., transpiration or stomatal conductance) are inversely related, with high stomatal conductance leading to more negative water potentials, and stomatal closure raising water potential (Klepper, 1968). In this experiment, the stomata of WS vines gradually closed when irrigation was reduced and, by the time temperature increased, stomatal conductance had reached a minimum of approximately 30 mmol m−2 s−1 (Figure 4), which was not recovered until rewatering (which took place approximately two weeks after the last irrigation). Stomatal closure proved to be a very effective tool for conserving water, as WS plants reduced the daily loss of transpirational water to less than 10 % of the values measured in well-watered plants. However, drastically lowering stomatal conductance also has negative consequences: leaf gas exchange is considered a trade-off, as CO2 assimilation unavoidably comes at the cost of water loss (Düring, 2015; Chaves et al., 2016). This was also found in this experiment, where the measured assimilation followed a similar pattern to stomatal conductance. This close similarity between net assimilation and stomatal conductance dynamics has also been found in other studies (Tombesi et al., 2015). Understanding stomatal behaviour during heatwaves is crucial to understanding how to optimise water use efficiency in fruit crops and to optimise irrigation management (Zanotelli et al., 2022). In a study carried out by Marchin et al. (2022), 20 species of evergreen trees and shrubs were subjected to similar abiotic stress conditions to this study, revealing a paradox effect of drought-stressed plants opening the stomata under heatwave conditions to allow for some transpirational cooling at the risk of hydraulic failure. Such a phenomenon was not encountered in this study. In fact, the lack of transpirational cooling in WS treatments caused the leaf surface temperatures to reach as high as 48.8 °C. In studies on Sémillon, drastic reductions in the photosynthetic rate were found at leaf temperatures of 45 °C (Greer & Weedon, 2012), a temperature that was surpassed in this experiment. These extreme temperatures likely caused not only stomatal-related reductions in photosynthesis but also thermal damage to Photosystem II, including a decrease in the activity of Rubisco activase and protein denaturation (Zhang et al., 2018; Venios et al., 2020). The impact on photosynthesis becomes evident when looking at the Fv/Fm readings of the present study (Figure 7). While Fv/Fm remained stable at the onset of water stress, it declined rapidly as soon as there was the combined stress of drought and high temperatures. The high standard error found especially in the WS control vines during the heatwave can be attributed to the partial loss of photosynthetic pigments due to the intense drought stress, with Fv/Fm values reaching as low as 0.5. These results are in agreement with other studies, in which a drop in Fv/Fm was only recorded when drought stress reached a severe level of intensity (Zulini et al., 2005) or was combined with a heatwave (Shtai et al., 2024). Notably, the plants in this study showed impressive Fv/Fm recovery, with the Fv/Fm values of WS plants not being significantly different – despite being slightly lower – to those of WW vines on the first day after rewatering. Similar results have been found for a Vitis hybrid: on the third day of recovery from heat stress, Fv/Fm values recovered to more than 80 % of the control plants (Kadir et al., 2007).
2. Leaf removal
Apical leaf removal that reduced 40 % of the leaf area was carried out with the aim of reducing water loss and therefore mitigating the effects of drought and heat stress on young grapevines. Leaf removal had no significant effect on soil and pre-dawn water potential (Figure 3). The observed difference in soil water potential between the two water stress treatments needs to be interpreted with caution, as the employed sensors are subject to lower accuracy when brought towards the upper limit of measurement range. The explanation that the observed faster decrease in soil water potential in non-defoliated WS plants was due to the larger leaf area is neither backed by stomatal conductance nor daily transpiration (Figure S2). On DoE 5-7, where a separation in soil potential values between WS leaf removal and WS control vines, stomatal conductance in both WS treatments was already below 50 % of values measured in WW treatments, indicating an advanced degree of stomatal closure. Further, and most importantly, mean daily transpiration revealed no significant differences between the two WS treatments during that period, meaning that the observed differences in soil water potential were not clearly linked to differences in daily water loss.
Well-watered, leaf removal plants showed higher stomatal conductance and assimilation than WW control vines. During the heatwave, stomatal conductance was approximately 20 % and net assimilation almost 24 % higher in WW leaf removal than in the WW control (Figures 4 and 6), showing a clear trend even though they were statistically significantly different only on day 12 of the experiment. This compensation mechanism has been observed before in grapevine, confirming that a reduction in leaf area results in increased gas exchange of the remaining leaves (Palliotti et al., 2011). Further, an increase in photosynthesis and stomatal conductance after leaf removal has also been observed for several other species, such as wheat, eucalyptus, mustard, acacia and alnus (Ahmadi & Joudi, 2007; Alcorn et al., 2008; Khan & Lone, 2005; Medhurst et al., 2006; Ruess et al., 2006). However, probably due to stomatal closure, no differences were found for leaf removal treatments in the stomatal conductance and net assimilation rates of water-stressed vines. These findings suggest that the mechanism responsible for the compensation in the reduced overall canopy assimilation potential is overridden by drought-induced stomatal closure mechanisms, which are either hormonal or hydraulic (Gambetta et al., 2020; Tombesi et al., 2015). The recovery of stomatal conductance and net assimilation found in this study is in line with existing literature (Flexas et al., 1999; Hernández-Montes et al., 2019). Even though by the end of the recovery period (five days after rewatering) both WS treatments were back on a par with WW values, stomatal conductance in WS leaf removal vines showed a swifter recovery, with similar values to WW plants on day 3 of the recovery period. A possible explanation for this swifter recovery is that, following rewatering, stomata regained functionality, allowing the same compensation mechanism observed in WW vines to be visible in (previously) WS plants. A second explanation could be that WS leaf removal vines were less stressed, since recovery speed is correlated with stress intensity (Flexas & Medrano, 2002). These findings are supported by the Fv/Fm values found in the present study. During the heatwave, Fv/Fm values in WS leaf removal vines were significantly higher than WS stressed control vines (Figure 7). In WW vines on the other hand, no differences in Fv/Fm between leaf removal and non-defoliated control were observed. Leaf temperature was also not significantly influenced by leaf removal in both WW and WS treatments. This can be explained by a reduction in self-shading as well as a higher light interception of leaves that were partially shaded before leaf removal, thus offsetting the hypothesised effect of increased transpirational cooling in leaf removal treatments (Valladares & Pearcy, 1997).
Mean daily transpirational water losses in WW plants were significantly lower in the leaf removal treatment, amounting to approximately 15 % lower total water loss during the course of the experiment (Figure 8). The reduced water loss in WW leaf removal vines is likely due to the decreased leaf area, as well as higher water use efficiency (Palliotti et al., 2011; Poni et al., 2013). However, it is important to underline that the effectiveness of this measure is limited by water availability and other agronomic factors influencing stomatal conductance, including variety, rootstock and soil type (Hugalde & Vila, 2014; Tombesi et al., 2014; Tramontini et al., 2013; Tramontini et al., 2014). In this study, SO4 was used as the rootstock, as it is the most commonly used rootstock in the growing region of the present study. However, it is known to be less drought-tolerant compared to alternatives like 1103 Paulsen or 110 Richter, commonly employed in Mediterranean vineyards (Serra et al., 2014). If these more drought-adapted rootstocks had been used, they might have enhanced water-use efficiency under stress conditions and could have potentially led to different results, especially when considering WS vines. Another key consideration for implementing apical leaf removal on young vines in the field is its practicality. In a Guyot trellis system, manual leaf removal represents a workload of about 30 hours per hectare, whereas mechanisation reduces this time to 2-4 hours per hectare (Müller & Walg, 2013). Given the scarcity and increased cost of manual labour, apical leaf removal before a heatwave would make sense for vine growers who are already equipped with the necessary machinery, given that canopy management only differs to regular leaf removal in terms of the working height of the machine (Gatti et al., 2019). It is also important to consider the long-term consequences of a drastic reduction in leaf area. For instance, leaf removal alters carbohydrate partitioning and reduces starch reserves, resulting in lower infloresence numbers and lower yield in the following season (Holzapfel et al., 2006; Vaillant-Gaveau et al., 2014). Taken together, these results suggest that apical leaf removal could be a short-term measure to reduce water use in the context of a heatwave, if there is enough water to keep the vines irrigated above a water potential threshold that results in stomatal closure.
Conclusion
In this study, young Sauvignon blanc vines were subjected to progressive severe drought stress in combination with a heatwave, during which apical leaf removal was tested as a mitigation strategy, based on the hypothesis that reducing the leaf area decreases transpirational water losses and improves water status. Under drought stress, there were no differences in leaf physiological parameters between the vines whose leaves were removed and the control ones (no leaf removal), probably due to stomatal closure. However, under non-drought conditions, apical leaf removal reduced daily transpirational water losses on average by 15 %. The relevance of this work lies in the necessity of finding ways to mitigate the effects of extreme weather events, especially in contexts where irrigation water may be limited. Studying these mitigation strategies in young vines is particularly important, as early-stage vineyards are highly susceptible to multiple summer stresses due to their still-developing root system. Nonetheless, the findings of this study were obtained under controlled conditions, and field validation is necessary to assess the practical effectiveness of apical leaf removal in commercial vineyard settings. Factors such as rootstock and scion choice, soil type and phenological growth stage at the moment of defoliation may influence outcomes in ways not captured here. Furthermore, viewing leaf removal not only as a mitigation strategy but also as a means of manipulating the source-sink balance raises interesting questions for further research; for example, how this source-limitation might affect lignification and carbohydrate storage in the vine, or how the increased radiation following defoliation might alter the microclimate and, consequently, impact grape quality and ripening dynamics. Further work should therefore also target practical aspects of the defoliation treatment, including the intensity of leaf removal and the variation in timing, as well as integration with irrigation management, to increase the potential of applying this technique in vineyard settings.
Funding
This study was carried out within the Agritech National Research Center and received funding from the European Union Next-Generation EU (PIANO NAZIONALE DI RIPRESA E RESILIENZA (PNRR) – MISSIONE 4 COMPONENTE 2, INVESTIMENTO 1.4 – D.D. 1032 17/06/2022, CN00000022). This manuscript reflects only the authors’ views and opinions; neither the European Union nor the European Commission can be considered responsible for them.
References
- Ahmadi, A., & Joudi, M. (2007). Effects of timing and defoliation intensity on growth, yield and gas exchange rate of wheat grown under well-watered and drought conditions. Pak. J. Biol. Sci, 10(21), 3794–3800. https://doi.org/10.3923/pjbs.2007.3794.3800
- Alcorn, P. J., Bauhus, J., Smith, R. G. B., Thomas, D., James, R., & Nicotra, A. (2008). Growth response following green crown pruning in plantation-grown eucalyptus pilularis and eucalyptus cloeziana. Canadian Journal of Forest Research, 38(4), 770–781. https://doi.org/10.1139/X07-185
- Andreotti, C., Benyahia, F., Petrillo, M., Lucchetta, V., Volta, B., Cameron, K., Targetti, G., Tagliavini, M., & Zanotelli, D. (2024). Comparing defoliation and canopy sprays to delay ripening of sauvignon blanc grapes. Scientia Horticulturae, 326, 112736. https://doi.org/10.1016/j.scienta.2023.112736
- Bondada, B., & Shutthanandan, J. (2012). Understanding differential responses of grapevine (Vitis vinifera L.) leaf and fruit to water stress and recovery following re-watering. American Journal of Plant Sciences, 3(9), 1232-1240. https://doi.org/10.4236/ajps.2012.39149
- Chaves, M. M., Costa, J. M., Zarrouk, O., Pinheiro, C., Lopes, C. M., & Pereira, J. S. (2016). Controlling stomatal aperture in semi-arid regions—The dilemma of saving water or being cool?. Plant Science, 251, 54-64. https://doi.org/10.1016/j.plantsci.2016.06.015
- Dayer, S., Reingwirtz, I., McElrone, A. J., & Gambetta, G. A. (2019). Response and recovery of grapevine to water deficit: from genes to physiology. The grape genome, 223-245. https://doi.org/10.1007/978-3-030-18601-2_11
- Deloire, A., Pellegrino, A., & Rogiers, S. (2020). A few words on grapevine leaf water potential. IVES Technical Reviews, vine and wine. https://doi.org/10.20870/IVES-TR.2020.3620
- Düring, H. (2015). Stomatal adaptation of grapevine leaves to water stress. VITIS-Journal of Grapevine Research, 29, 366.
- Flexas, J., Escalona, J., & Medrano, H. (1999). Water stress induces different levels of photosynthesis and electron transport rate regulation in grapevines. Plant, Cell & Environment, 22(1), 39–48. https://doi.org/10.1046/j.1365-3040.1999.00371.x
- Flexas, J., & Medrano, H. (2002). Drought-inhibition of photosynthesis in c3 plants: Stomatal and non-stomatal limitations revisited. Annals of botany, 89(2), 183–189. https://doi.org/10.1093/aob/mcf027
- Gambetta, G. A., Herrera, J. C., Dayer, S., Feng, Q., Hochberg, U., & Castellarin, S. D. (2020). The physiology of drought stress in grapevine: Towards an integrative definition of drought tolerance. Journal of experimental botany, 71(16), 4658–4676. https://doi.org/10.1093/jxb/eraa245
- Gatti, M., Garavani, A., Krajecz, K., Ughini, V., Parisi, M. G., Frioni, T., & Poni, S. (2019). Mechanical mid-shoot leaf removal on ortrugo (vitis vinifera l.) at pre-or mid-veraison alters fruit growth and maturation. American Journal of Enology and Viticulture, 70(1), 88–97. https://doi.org/10.5344/ajev.2018.18055
- Greer, D. H., & Weedon, M. M. (2012). Modelling photosynthetic responses to temperature of grapevine (vitis vinifera cv. semillon) leaves on vines grown in a hot climate. Plant, Cell & Environment, 35(6), 1050–1064. https://doi.org/10.1111/j.1365-3040.2011.02471.x
- Gutiérrez-Gamboa, G., Zheng, W., & de Toda, F. M. (2021). Current viticultural techniques to mitigate the effects of global warming on grape and wine quality: A comprehensive review. Food Research International, 139, 109946. https://doi.org/10.1016/j.foodres.2020.109946
- Hernández-Montes, E., Zhang, Y., Barkat, N., & Keller, M. (2019). Heat waves and drought stress impact grapevine growth and physiology. IVES Conference Series, GiESCO 2019. https://ives-openscience.eu/4177/
- Holzapfel, B. P., Smith, J. P., Mandel, R. M., & Keller, M. (2006). Manipulating the postharvest period and its impact on vine productivity of Semillon grapevines. American journal of enology and viticulture, 57(2), 148-157. https://doi.org/10.5344/ajev.2006.57.2.148
- Hothorn, T., Bretz, F., & Westfall, P. (2008). Simultaneous inference in general parametric models. Biometrical Journal, 50(3), 346–363. https://doi.org/10.1002/bimj.200810425
- Hugalde, I. P., & Vila, H. F. (2014). Isohydric or anisohydric behaviour in grapevine…, a never-ending controversy. RIA (Revista de Investigaciones Agrpecuarias), 40(1), 75–82.
- IPCC. (2022). Climate change 2022: Impacts, adaptation, and vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (H.-O. Pörtner, D.C. Roberts, M. Tignor, E.S. Poloczanska, K. Mintenbeck, A. Alegría, M. Craig, S. Langsdorf, S. Löschke, V. Möller, A. Okem, & B. Rama, Eds.). Cambridge University Press. https://doi.org/10.1017/9781009325844
- Jones, G. V., White, M. A., Cooper, O. R., & Storchmann, K. (2005). Climate change and global wine quality. Climatic change, 73(3), 319–343. https://doi.org/10.1007/s10584-005-4704-2
- Junges, A. H., & Anzanello, R. (2021). Non-destructive simple model to estimate the leaf area through midvein in cultivars of vitis vinifera. Revista Brasileira de Fruticultura, 43(5), e–795. https://doi.org/10.1590/0100-29452021795
- Kadir, S., Von Weihe, M., & Al-Khatib, K. (2007). Photochemical efficiency and recovery of photosystem ii in grapes after exposure to sudden and gradual heat stress. Journal of the American Society for Horticultural Science, 132(6), 764–769. https://doi.org/10.21273/JASHS.132.6.764
- Khan, N., & Lone, P. (2005). Effects of early and late season defoliation on photosynthesis, growth and yield of mustard (brassica juncea l.) Brazilian Journal of Plant Physiology, 17, 181–186. https://doi.org/10.1590/S1677-04202005000100015
- Klepper, B. (1968). Diurnal pattern of water potential in woody plants. Plant Physiology, 43(12), 1931–1934. https://doi.org/10.1104/pp.43.12.1931
- Lenth, R. V. (2024). Emmeans: Estimated marginal means, aka least-squares means (R package version 1.10.5). https://rvlenth.github.io/emmeans/
- Marchin, R. M., Backes, D., Ossola, A., Leishman, M. R., Tjoelker, M. G., & Ellsworth, D. S. (2022). Extreme heat increases stomatal conductance and drought‐induced mortality risk in vulnerable plant species. Global change biology, 28(3), 1133-1146. https://doi.org/10.1111/gcb.15976
- Medhurst, J., Pinkard, E., Beadle, C., & Worledge, D. (2006). Photosynthetic capacity increases in acacia melanoxylon following form pruning in a two-species plantation. Forest ecology and management, 233(2-3), 250–259. https://doi.org/10.1016/j.foreco.2006.05.016
- Müller, E. & Walg, O. (2013). Laubarbeiten im Weinbau. Verlag Eugen Ulmer. https://ulmer-elibrary.de/book/99.170005/9783800121519
- OIV. (2023). State of the world vine and wine sector in 2023. https://www.oiv.int/sites/default/files/documents/OIV_STATE_OF_THE_WORLD_VINE_AND_WINE_SECTOR_IN_2023_0.pdf (accessed: 21.11.2024).
- Palliotti, A., Gatti, M., & Poni, S. (2011). Early leaf removal to improve vineyard efficiency: Gas exchange, source-to-sink balance, and reserve storage responses. American Journal of Enology and Viticulture, 62(2), 219–228. https://doi.org/10.5344/ajev.2011.10094
- Palliotti, A., Panara, F., Silvestroni, O., Lanari, V., Sabbatini, P., Howell, G. S., Gatti, M., & Poni, S. (2013). Influence of mechanical postveraison leaf removal apical to the cluster zone on delay of fruit ripening in sangiovese (vitis vinifera l.) grapevines. Australian Journal of Grape and Wine Research, 19(3), 369–377. https://doi.org/10.1111/ajgw.12033
- Palliotti, A., Tombesi, S., Silvestroni, O., Lanari, V., Gatti, M., & Poni, S. (2014). Changes in vineyard establishment and canopy management urged by earlier climate-related grape ripening: A review. Scientia Horticulturae, 178, 43–54. https://doi.org/10.1016/j.scienta.2014.07.039
- Pinheiro, J., Bates, D., & R Core Team. (2024). nlme: Linear and Nonlinear Mixed Effects Models. R package version 3.1-168. https://CRAN.R-project.org/package=nlme
- Poni, S., Gatti, M., Bernizzoni, F., Civardi, S., Bobeica, N., Magnanini, E., & Palliotti, A. (2013). Late leaf removal aimed at delaying ripening in cv. Sangiovese: Physiological assessment and vine performance. Australian Journal of Grape and Wine Research, 19(3), 378–387. https://doi.org/10.1111/ajgw.12040
- Pou, A., Flexas, J., Martorell, S., Tomas, M., & Medrano, H. (2010). Water use efficiency during drought and recovery in grapevines: Differential behaviour of three cultivars. XXVIII International Horticultural Congress on Science and Horticulture for People (IHC2010): International Symposium on the 931, 127–135. https://doi.org/10.17660/ActaHortic.2012.931.13
- Quick, W., Chaves, M., Wendler, R., David, M., Rodrigues, M., Passaharinho, J., Pereira, J., Adcock, M., Leegood, R., & Stitt, M. (1992). The effect of water stress on photosynthetic carbon metabolism in four species grown under field conditions. Plant, Cell & Environment, 15(1), 25–35. https://doi.org/10.1111/j.1365-3040.1992.tb01455.x
- R Core Team. (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria. https://www.r-project.org/
- Rogiers, S. Y., Fahey, D., & Holzapfel, B. (2018). Mitigating sunburn, dehydration and smoke taint in the vineyard: Is there a role for sunscreens, antitranspirants and film forming barriers? II International Symposium on Beverage Crops 1274, 71–78. https://doi.org/10.17660/ActaHortic.2020.1274.8
- Ruess, R. W., Anderson, M. D., Mitchell, J. S., & McFARLAND, J. W. (2006). Effects of defoliation on growth and n fixation in alnus tenuifolia: Consequences for changing disturbance regimes at high latitudes. Ecoscience, 13(3), 404–412. https://doi.org/10.2980/i1195-6860-13-3-404.1
- Schultz, H. R. (2000). Climate change and viticulture: A european perspective on climatology, carbon dioxide and uv-b effects. Australian Journal of Grape and Wine Research, 6(1), 2–12. https://doi.org/10.1111/j.1755-0238.2000.tb00156.x
- Serra, I., Strever, A., Myburgh, P. A., & Deloire, A. (2014). The interaction between rootstocks and cultivars (V itis vinifera L.) to enhance drought tolerance in grapevine. Australian Journal of grape and wine Research, 20(1), 1-14. https://doi.org/10.1111/ajgw.12054
- Shtai, W., Asensio, D., Kadison, A., Schwarz, M., Raifer, B., Andreotti, C., Hammerle, A., Zanotelli, D., Haas, F., Niedrist, G., et al. (2024). Soil water availability modulates the response of grapevine leaf gas exchange and psii traits to a simulated heat wave. Plant and Soil, 1–18. https://doi.org/10.1007/s11104-024-06536-7
- Tombesi, S., Nardini, A., Farinelli, D., & Palliotti, A. (2014). Relationships between stomatal behavior, xylem vulnerability to cavitation and leaf water relations in two cultivars of vitis vinifera. Physiologia plantarum, 152(3), 453–464. https://doi.org/10.1111/ppl.12180
- Tombesi, S., Nardini, A., Frioni, T., Soccolini, M., Zadra, C., Farinelli, D., Poni, S., & Palliotti, A. (2015). Stomatal closure is induced by hydraulic signals and maintained by aba in droughtstressed grapevine. Scientific reports, 5(1), 12449. https://doi.org/10.1038/srep12449
- Tramontini, S., Vitali, M., Centioni, L., Schubert, A., & Lovisolo, C. (2013). Rootstock control of scion response to water stress in grapevine. Environmental and experimental botany, 93, 20–26. https://doi.org/10.1016/j.envexpbot.2013.04.001
- Tramontini, S., Döring, J., Vitali, M., Ferrandino, A., Stoll, M., & Lovisolo, C. (2014). Soil waterholding capacity mediates hydraulic and hormonal signals of near-isohydric and near-anisohydric vitis cultivars in potted grapevines. Functional Plant Biology, 41(11), 1119–1128. https://doi.org/10.1071/FP13263
- Tyree, M. T., & Ewers, F. W. (1991). The hydraulic architecture of trees and other woody plants. New Phytologist, 119(3), 345–360. https://doi.org/10.1111/j.1469-8137.1991.tb00035.x
- Vaillant-Gaveau, N., Wojnarowiez, G., Petit, A. N., Jacquens, L., Panigai, L., Clement, C., & Fontaine, F. (2014). Relationships between carbohydrates and reproductive development in Chardonnay grapevine: Impact of defoliation and fruit removal treatments during four successive growing seasons. OENO one, 48(4), 219-229. https://doi.org/10.20870/oeno-one.2014.48.4.1694
- Valladares, F., & Pearcy, R. (1997). Interactions between water stress, sun-shade acclimation, heat tolerance and photoinhibition in the sclerophyll heteromeles arbutifolia. Plant, Cell & Environment, 20(1), 25–36. https://doi.org/10.1046/j.1365-3040.1997.d01-8.x
- Venios, X., Korkas, E., Nisiotou, A., & Banilas, G. (2020). Grapevine responses to heat stress and global warming. Plants, 9(12), 1754. https://doi.org/10.3390/plants9121754
- Zanotelli, D., Montagnani, L., Andreotti, C., & Tagliavini, M. (2022). Water and carbon fluxes in an apple orchard during heat waves. European Journal of Agronomy, 134, 126460. https://doi.org/10.1016/j.eja.2022.126460
- Zhang, K., CHEN, B.-h., Yan, H., Rui, Y., & WANG, Y.-a. (2018). Effects of short-term heat stress on psii and subsequent recovery for senescent leaves of vitis vinifera l. cv. red globe. Journal of integrative agriculture, 17(12), 2683–2693. https://doi.org/10.1016/S2095-3119(18)62143-4
- Zulini, L., Rubinigg, M., Zorer, R., & Bertamini, M. (2005). Effects of drought stress on chlorophyll fluorescence and photosynthetic pigments in grapevine leaves (vitis vinifera cv.’white riesling’). International Workshop on Advances in Grapevine and Wine Research 754, 289–294. https://doi.org/10.17660/ActaHortic.2007.754.37

Views: 1060
XML: 27