Hostname: page-component-cd9895bd7-7cvxr Total loading time: 0 Render date: 2024-12-23T11:07:09.545Z Has data issue: false hasContentIssue false

Effects of natural clinoptilolite on physiology, water stress, sugar, and anthocyanin content in Sanforte (Vitis vinifera L.) young vineyard

Published online by Cambridge University Press:  22 December 2021

E. C. Cataldo*
Affiliation:
Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, 50019Sesto Fiorentino (FI), Italy
L. S. Salvi
Affiliation:
Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, 50019Sesto Fiorentino (FI), Italy
F. P. Paoli
Affiliation:
Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, 50019Sesto Fiorentino (FI), Italy
M. F. Fucile
Affiliation:
Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, 50019Sesto Fiorentino (FI), Italy
G. M. Masciandaro
Affiliation:
CNR, IRET, Via Moruzzi, 1, 56124Pisa (PI), Italy
D. M. Manzi
Affiliation:
DN360 Piazza d'Ancona, 3, 56127Pisa (PI), Italy
C. M. M. Masini
Affiliation:
DN360 Piazza d'Ancona, 3, 56127Pisa (PI), Italy
G. B. M. Mattii
Affiliation:
Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, 50019Sesto Fiorentino (FI), Italy
*
Author for correspondence: E. C. Cataldo, E-mail: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

In the Mediterranea area, major effects of climate change are a modification in rainfall patterns, an increase in temperature with an intensify in tropical nights, and an increase in incoming radiations, especially UV-Bs. Despite the various adaptation strategies, grapevines are sensitive to altered climatic conditions. This paper aims to assess the benefits of applying a new sustainable product to the soil that can implement farmers’ resources to adapt to this changing situation. Zeowine was realized by combining the properties of zeolite, which has excellent potential in many sectors such as in agriculture, with the organic substance of a compost obtained on a company scale from the reuse of waste processing grapes, pomace and stalks. The effects of two different soil management (Z – Zeowine, 30 t/ha dose and C – Compost, 20 t/ha dose) on vine physiology and berry compositions in Sanforte grapevines (new plantation) were studied during the 2019–2020–2021 growing seasons in the San Miniato area, Italy. The following physiological parameters of grapevines were measured: leaf gas exchange, leaf temperature, stem water potential and chlorophyll fluorescence. The results showed that Z increased single leaf photosynthesis, reduced leaf temperature and water stress. In addition, phenolic and technological parameters were studied. The Z-treated vines had higher sugar content and total and extractable anthocyanin content as well as berry weight. These results suggested that the application of zeolites added to compost in the vineyard to the soil can be a valid tool to mitigate the effects of climate change.

Type
Climate Change and Agriculture Research Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press

Introduction

Climate change can affect agriculture in several aspects (Cline, Reference Cline2008). An increase in intensity and frequency of many extreme climate events, a decrease in rainfall and frequent heat waves can be identified such as characteristics of climate change (Houghton, Reference Houghton2005; Gourdji et al., Reference Gourdji, Sibley and Lobell2013). In fact, the global climate scenario will be distinguished by a rise in greenhouse gases amount, a rise in temperature and changes in the precipitation diagrams (Marín et al., Reference Marín, Armengol, Carbonell-Bejerano, Escalona, Gramaje, Hernández-Montes and De Herralde2021). With excessive increase temperatures, warming leads to reduce crop yields because plants increase the speed of their development, producing less in the process (Hedhly et al., Reference Hedhly, Hormaza and Herrero2009; Chen et al., Reference Chen, van Groenigen, Yang, Hungate, Yang, Tian and Zhang2020). On the one hand, although the increase of atmospheric carbon dioxide (CO2) concentration can enhance photosynthesis, as a carbon source and reduce transpiration rates (Burkart et al., Reference Burkart, Manderscheid, Wittich, Löpmeier and Weigel2011; Deryng et al., Reference Deryng, Elliott, Folberth, Müller, Pugh, Boote and Rosenzweig2016), on the other, the higher temperatures also affect the ability of plants to use and obtain moisture (Viciedo et al., Reference Viciedo, de Mello Prado, Martinez, Habermann, Branco, de Cássia Piccolo and Tenesaca2021). In fact, high temperatures lead to a decline in stomatal conductance (gs) characteristic of upsurging water stress (Trahan and Schubert, Reference Trahan and Schubert2016).

The water availability for the grapevine is influenced by the combination of water deficit and high summer temperatures, especially from the point of view of berry ripening; the resulting wines show imbalances due to high alcohol content and low polyphenolic complexity (Santos et al., Reference Santos, Fraga, Malheiro, Moutinho-Pereira, Dinis, Correia and Schultz2020; Savoi et al., Reference Savoi, Herrera, Carlin, Lotti, Bucchetti, Peterlunger, Castellarin and Mattivi2020). Hence, the water status evaluation, in grapevine, acquires enormous importance especially in warm producing terroir, where appropriate vineyard soil management may represent a sustainable approach to achieve a balanced grape quality (Buesa et al., Reference Buesa, Miras-Ávalos, De Paz, Visconti, Sanz, Yeves and Intrigliolo2021; Cataldo et al., Reference Cataldo, Salvi and Mattii2021a).

The benefits of the contribution made by compost, used as soil improvers, in herbaceous crops, fruit growing and viticulture are widely described in the literature (Martínez-Blanco et al., Reference Martínez-Blanco, Lazcano, Christensen, Muñoz, Rieradevall, Møller and Boldrin2013). A good organic matter content ensures better cultivation conditions in many ways, for example, the effects are on workability, water retention, density, porosity, permeability and slow release of nutrients (Johnston, Reference Johnston1986). Due to the application of natural products to the soil or plant, farmers and winegrowers should be able to mitigate the harmful impact of climate change by a suitable adaptation strategy (Rosenzweig et al., Reference Rosenzweig, Curry, Richie, Jones, Chou, Goldberg and Iglesias1994; Paudel and Hatch, Reference Paudel and Hatch2012). It is in this context that the use of zeolite in soil management assumes greater importance (Ramesh and Reddy, Reference Ramesh and Reddy2011). Zeolite [Greek words ζέω, ‘boil’ and λίθος, ‘stone’, ‘boiling stones’ (Polat et al., Reference Polat, Karaca, Demir and Onus2004)], are interesting and versatile minerals that are vital for several ranges of industries due to their particular and unique chemical and structural properties (Van Speybroeck et al., Reference Van Speybroeck, Hemelsoet, Joos, Waroquier, Bell and Catlow2015). They are aluminosilicate solids, natural or synthetic origin, bearing a negatively charged framework of micropores into which molecules may be adsorbed for environmental decontamination and to catalyse chemical reactions (Bacakova et al., Reference Bacakova, Vandrovcova, Kopova and Jirka2018).

Due to their ability to perform cation exchange, zeolite applications were found in various industries, such as in the pharmaceutical industry, petrochemical industry (Rhodes, Reference Rhodes2010; Bish and Ming, Reference Bish and Ming2018). Zeolites have many properties, some of these are of interest for agricultural purposes: high CEC, high water holding capacity in the free channels, and high adsorption capacity (Hedström, Reference Hedström2001). In agriculture, some of the important applications are water treatment (Margeta et al., Reference Margeta, Logar, Šiljeg and Farkaš2013), gas adsorption (Mofarahi and Gholipour, Reference Mofarahi and Gholipour2014), aquaculture (Nomura et al., Reference Nomura, Fukahori, Fukada and Fujiwara2017), animal husbandry (Ilić et al., Reference Ilić, Petrović, Pešev, Stojković and Ristanović2011), absorption of heavy metals (Tahervand and Jalali, Reference Tahervand and Jalali2017) and also for odour control (Halim et al., Reference Halim, Aziz, Johari and Ariffin2010). Zeolites can also absorb up to 55% water, later this water is used by the plants for their metabolic activities (Pisarovic et al., Reference Pisarovic, Filipan and Tisma2003). In grapevine, foliar applications of chabasite-rich zeolitites were able to control simultaneously grey mould, sour rot and grapevine moth and improve the composition of grapes and wines (Calzarano et al., Reference Calzarano, Valentini, Arfelli, Seghetti, Manetta, Metruccio and Di Marco2019, Reference Calzarano, Seghetti, Pagnani and Di Marco2020).

However, until now the advantages of applying zeolite in vineyards to the soil have not been studied. This research is an outcome for the need to find sustainable products that can support the performance of new plantations as a result of climate change, without the help of irrigation. The present investigation examines the effects of a new product called Zeowine (made by the synergy of compost and zeolite) compared with only compost on Sanforte new plantations vines, in local Mediterranean conditions, especially this study evaluates its effects on ecophysiological parameters, yield, sugar and anthocyanin content.

Materials and methods

Study region, climatic conditions, experimental design and settings

This study was carried out in the viticultural Chianti area, in the San Miniato county (PI) (coordinates Lat. 43°40′55.1″N and Long. 10°53′13.8″E), Tuscany, Italy, located at an elevation of 190 m a.s.l. facing North-East exposure, at the Cosimo Maria Masini estate. The San Miniato climate is Mediterranean, semi-arid, with a mean annual precipitation of 800 mm and a mean annual temperature of 14.5°C. According to Italian legislation, a decree of the President of the Republic n. 412 of 26 August 1993 (Table 1) the climatic classification of the municipality of San Miniato is D, 1513 degree days (GG).

Table 1. Climatic zones of the Italian territory according to the degree days (GG)

An automated weather station (Ecotech, Germany) located at 80 metres from the vineyard, was used to record total rainfall (mm) and maximum, mean and minimum air temperature (°C). Trials were conducted during 2019, 2020 and 2021 growing seasons in the newly planted experimental vineyard. Soil horizons present a clay loam texture with the following average characteristics: 20.2% silt, 27.9% clay and 51.8% sand; organic matter 1.79% (USDA classification); pH (H2O) 7.7. The newly planted vineyard of the red cv. Sanforte (Vitis vinifera L.), grafted on 1103 P rootstock, was planted during 2018, with a spacing of 2.3 m between rows × 0.8 m between plants (~5434 vines/ha) and located in an area with a 5.5% slope. Vines were planted without irrigation aid; at the time of plantation 90 kg/ha of biodynamic compost was applied. The experimental plot was arranged with a complete randomized block design, consisting of six blocks (four rows each) and one factor (soil treatment). Two soil treatments were applied: C commercial compost (20 tons per hectare) and Z Zeowine (30 tons per hectare). Zeowine is a product that is derived from the composting of waste from the wine supply chain (stalks, grape pulp, pomace, etc.) with the addition of 30% zeolite during the initial phase of the process. The treatments were applied in February 2019 by using a manure spreader to guarantee its uniform application over the entire soil surface and integrated into the soil at a depth of 30 cm. As following the main characteristics of the applied compost and zeolite (clinoptilolite type) used for the preparation of Zeowine are reported (Doni et al., Reference Doni, Gispert, Peruzzi, Macci, Mattii, Manzi and Masciandaro2021):

  • Clinoptilolite: 68.30% SiO2, 2.80% K2O, 0.75% Na2O, 12.30% Al2O3, 1.30% Fe2O3, 0.15% TiO2, 3.90% CaO, 0.90% MgO, 12.50% loss on ingnition, 5.10 Si/Al, 130 CEC cmolc/kg.

  • Compost: <0.5 E.C. (dS/m), 8.32 pH, 28.00% Total Organic Carbon, 4.00% Total Nitrogen, 7 C/N, 3.90% Humic Acids, 2.20% Fulvic Acids.

From the two central rows of each block, two homogeneous vines (total 12 vines per soil treatment) were randomly tagged for leaf gas exchange, water potential and grape composition assessments. Ecophysiological measurements were carried out during the three vegetative seasons (2019–2020–2021), while grape sampling was conducted in the 2020 season (third year of planting of the vineyard) and 2021 (fourth year of planting of the vineyard) as 2019 was without production.

Stomatal conductance and leaf temperature, net photosynthesis and water use efficiency, midday stem water potential, leaf chlorophyll fluorescence and content

During three seasons, from flowering to maturity, between 10 and 12 a.m., leaf temperature and leaf gas exchange (stomatal conductance (gs), transpiration rate (E) and net photosynthesis (Pn)) was measured using Ciras 3, a portable infrared gas analyser (PP Systems, Amesbury, MA, USA), on 12 healthy and fully developed leaves per treatment, in the median portion of a primary shoot (12 replicates, one each tagged vine). Measurements were taken once a day on the following dates: flowering (9 July 2019, 2 July 2020, 28 June 2021), fruit set (17 July 2019, 13 July 2020, 5 July 2021), pre veraison (22 July 2019, 21 July 2020, 12 July 2021), veraison (6 August 2019, 1 August 2020, 29 July 2021), mid maturation (19 August 2019, 17 August 2020, 18 August 2021), full maturation (26 August 2019, 3 September 2020, 31 August 2021). The photosynthesis/transpiration ratio, extrinsic water use efficiency (eWUE), was calculated. Setting the leaf chamber flow under the same conditions as Cataldo et al. (Reference Cataldo, Salvi, Paoli, Fucile and Mattii2021b) measurements were performed: saturating photosynthetic photon flux of 1300 μmol/m2s, ambient CO2 concentration ~400 ppm and ambient temperature.

Using a pressure chamber (model 600, PMS Instrument Co., Albany, OR, USA), midday-stem water potential (Ψstem, MPa) of dark-adapted leaves (over a 60-min period) was determined on 10 fully expanded leaves per treatment (Ritchie and Hinckley, Reference Ritchie and Hinckley1975). Measurements were conducted between 12 noon and 1:00 p.m., from flowering to the ripening phase, in the median portion of a primary shoot (10 replicates, one each tagged vine). Measurements were taken once a day on the following dates: flowering (9 July 2019, 2 July 2020, 28 June 2021), fruit set (17 July 2019, 13 July 2020, 5 July 2021), pre veraison (22 July 2019, 21 July 2020, 12 July 2021), veraison (6 August 2019, 1 August 2020, 29 July 2021), mid maturation (19 August 2019, 17 August 2020, 18 August 2021), full maturation (26 August 2019, 3 September 2020, 31 August 2021).

In the hottest and driest period, from pre-veraison to the ripening, using Handy-PEA® tool (Hansatech Instruments, UK), Chlorophyll a fluorescence transient of dark-adapted leaves was recorded with a saturating flash of actinic light at 3000 μmolm/m2s for 1 s. Briefly, the maximum quantum yield of photosystem II (PSII) was calculated as the ratio F v/F m = (F m − F 0)/F m where F v represents the variable fluorescence and F m represents the maximal fluorescence of dark-adapted (over a 30-min period) leaves (Maxwell and Johnson, Reference Maxwell and Johnson2000).

Measurements were taken once a day on the following dates on 12 healthy and fully developed leaves per treatment, in the median portion of a primary shoot (12 replicates, one each tagged vine): pre veraison (22 July 2019, 21 July 2020, 12 July 2021), veraison (6 August 2019, 3 August 2020, 29 July 2021), mid maturation (19 August 2019, 14 August 2020, 18 August 2021), full maturation (26 August 2019, 3 September 2020, 31 August 2021).

A 502 SPAD device (Konica Minolta Inc., Japan) was used to measure chlorophyll content in leaves. Measurements were taken once a day on the following dates on 12 healthy and fully developed leaves per treatment, in the median portion of a primary shoot (12 replicates, one each tagged vine): pre veraison (22 July 2019, 21 July 2020, 12 July 2021), veraison (6 August 2019, 3 August 2020, 29 July 2021), mid maturation (19 August 2019, 14 August 2020, 18 August 2021), full maturation (26 August 2019, 3 September 2020, 31 August 2021).

Berry composition

During 2020–2021 seasons, from veraison to harvest (3 August 2020, 17 August 2020, 3 September 2020, 8 September 2020 and 29 July 2021, 18 August 2021, 31 August 2021, 10 September 2021), a 100-berry sample was collected mixing berries from the tagged vines of each block of both Zeowine and Compost vines (12 samples of 100-berry in total per treatment) to perform technological analyses and determine the optimal maturity level to harvest (ripening curves). Each sample was weighed with a digital scale (model ES2201, Artiglass, Due Carrare, PD, Italy) and immediately juiced. Sugar content (°Brix) was measured using a refractometer (PCE-Oe Inst., Lucca, Italy); pH was measured using a portable pH meter (PCE-Oe Inst., Lucca, Italy) and must g/L tartaric acid (titratable acidity) was determined on a 10 mL for each 100-berry sample by manual glass burette using 0.1 M NaOH to an endpoint of pH 7.0. Moreover, a duplicate 100-berry sample was picked mixing berries from the tagged vines of each block of both Zeowine and Compost vines (12 samples of 100-berry in total per treatment), was processed for phenolic maturity parameters, such as extractable and total polyphenols and anthocyanins (mg/l) (Ribéreau-Gayon et al., Reference Ribéreau-Gayon, Glories, Maujean and Dubourdieu2021) with the Yves-Glories method (Glories, Reference Glories1984a, Reference Glories1984b). Briefly, the samples were read with the spectrophotometer (Hitachi U-2000, Chiyoda, Japan) at 520 nm for anthocyanins and 280 nm for polyphenols. In addition, as described by the method, the following solutions were used: aqueous solution of HCl at pH 1, an aqueous solution of tartaric acid at pH 3.2, solution of ethanol hydrochloride EtOHCl, 2% solution of HCl and an aqueous solution of SO2.

Statistical analysis

Data from each season 2019, 2020 and 2021 were separately analysed by means of one-way ANOVA with soil treatments as the main factor (P ⩽ 0.05). In addition, mean values were separated by Fisher's least significant difference (LSD). P value adjustment was performed with the Holm method (P ⩽ 0.05). All statistical analyses were performed using R and RStudio (Boston, MA, USA) (Allaire, Reference Allaire2012).

Results

Vineyard microclimate

Climate resulted as typical of the Mediterranean region, although some differences in rainfall pattern were detected in the three different years of research (Fig. 1). The 2019 year (657.8 mm rain/growing season) was characterized by an even distribution of rain especially during spring and autumn with a dry period in June and August. The 2020 year (454.6 mm rain/growing season) was characterized by an even distribution of rain especially autumn whit a dry period in April and July. Whereas the 2021 year (458.2 mm rain/growing season) was characterized by an even distribution of rain especially spring with a dry period in June and July. Maximum temperatures exceeded 35°C on the following days (Fig. 2): from 25 to 30 June 2019 (176–181 DOY), from 1 to 3 July 2019 (182–184 DOY), from 23 to 26 July 2019 (204–207 DOY), 11 and 12 August 2019 (223–224 DOY), from 30 July to 1 August 2020 (212–214 DOY), from 8 to 10 August 2020 (221–223 DOY) and 12 August 2020 (225 DOY), 7 July 2021 (188 DOY), 26 July 2021 (207 DOY) and from 11 to 15 August 2021 (223–227 DOY).

Fig. 1. Colour online. Vineyard Microclimate. Monthly total rainfall (mm) and mean, maximum, minimum temperature (°C) of 2019, 2020 and 2021. The data refer to the following months: April 2019–December 2019 (91–335 DOY), January 2020–December 2020 (1–336 DOY) and January 2021–September 2021 (1–244 DOY).

Fig. 2. Colour online. Vineyard Microclimate. Daily total rainfall (mm) and mean, maximum, minimum temperature (°C) of 2019 (a), 2020 (b) and 2021 (c). All data refer to the hottest central months of each year (from June to September). The days are expressed in Day of the Year (DOY) as follows: June 2019 (152–181), July 2019 (182–212), August 2019 (213–243), September 2019 (244–273) and June 2020 (153–182), July 2020 (183–213), August 2020 (214–244), September 2020 (245–274) and June 2021 (152–181), July 2021 (182–212), August 2021 (213–243), September 2021 (244–255).

Stomatal conductance and leaf temperature, net photosynthesis and water use efficiency, midday stem water potential, leaf chlorophyll fluorescence and content

As reported in Figs 3(A)–(F), no significant differences were noted in chlorophyll content (maximum quantum yield of PSII) in leaves of Vitis vinifera between treatments (Zeowine and Compost), while chlorophyll a fluorescence reported differences especially in the warmer period (6–19 August 2019, 3 August 2020, 12 July 2021 and 18 August 2021).

Fig. 3. Colour online. Maximum quantum yield of PSII (F v/F m) ((A), 2019; (C), 2020; (E), 2021) and chlorophyll content (SPAD Units) ((B), 2019; (D), 2020; (F), 2021) in Vitis vinifera with two different soil management: Zeowine (Z, green column) and Compost (C, brown column). The days are expressed in Day of the Year (DOY): 22 July 2019 (203), 21 July 2020 (195), 12 July 2021 (193); 6 August 2019 (218), 3 August 2020 (216), 29 July 2021 (210); 19 August 2019 (231), 14 August 2020 (230), 18 August 2021 (230). Different letters within the same parameter indicate significant differences. Data (mean ± s.e., n = 12) were subjected to one-way ANOVA (LSD test, P ⩽ 0.05).

On the hottest days, significant differences in physiological parameters (Pn and WUE) between Z and C during the three study seasons (2019, 2020 and 2021) were found; Zeowine showed higher rates of photosynthesis v. C treatment (Table 2).

Table 2. Physiological parameters

Net photosynthesis (Pn), water use efficiency (eWUE) of Vitis vinifera treated with two different soil management methods: Zeowine (Z) and Compost (C). Different letters within the same parameter indicate significant differences. Data (mean ± s.e., n = 12) were subjected to one-way ANOVA (LSD test, P⩽0.05)

Treatment C showed in all seasons, values of leaf temperature higher than treatment Z. On the hottest days, the Z treatment tended to record values of superior stomatal conductance (Fig. 4).

Fig. 4. Colour online. Stomatal conductance (gs, mmol m-2s-1), ((A), 2019; (C), 2020; (E) 2021) and leaf temperature (°C) ((B), 2019; (D), 2020; (F), 2021) in Vitis vinifera with two different soil management: Zeowine (Z, green line) and Compost (C, brown line). The days are expressed in Day of the Year (DOY): 9–17–22 July 2019 (190–198–203), 6–19–26 August 2019 (218–231–238) and 2–13–21 July 2020 (184–195–203), 1–17 August 2020 (214–230), 3 September 2020 (247) and 28 June 2021 (179), 5–12–29 July 2021 (186–193–200), 18–31 August 2021 (230–243). Different letters within the same parameter indicate significant differences. Data (mean ± s.e., n = 12) were subjected to one-way ANOVA (LSD test, P ⩽ 0.05).

Significant differences in stem water potential between soil treatments were found (Fig. 5). Leaf water potential values reflect seasonal trends; peaks of increased water stress were recorded in July 2019, August 2020 and July/August 2021 after the driest and hottest months (June 2019, July 2020 and July 2021).

Fig. 5. Colour online. Physiological parameters. Stem water potential (ψ, MPa), ((A), 2019; (B), 2020; (C), 2021) in Vitis vinifera with two different soil management: Zeowine (Z, green line) and Compost (C, brown line). The days are expressed in Day of the Year (DOY): 9–17–22 July 2019 (190–198–203), 6–19–26 August 2019 (218–231–238) and 2–13–21 July 2020 (184–195–203), 1–17 August 2020 (214–230), 3 September 2020 (247) and 28 June 2021 (179), 5–12–29 July 2021 (186–193–200), 18–31 August 2021 (230–243). Different letters within the same parameter indicate significant differences. Data (mean ± s.e., n = 12) were subjected to one-way ANOVA (LSD test, P ⩽ 0.05).

Berry composition

Table 3 shows the composition of Sanforte berries under two different soil management approaches in 2020 year (first year of production of the vineyard) and in 2021 year (second year of production of the vineyard) in terms of technological maturity. During the 2020 season, significant differences at full veraison, mid-maturation and harvest were noted in sugar content and during the 2021 season, significant differences at mid-maturation, full-maturation and harvest were noted in sugar content: Z had the highest values than C treatment. In the 2020 harvest, the C treatment detected higher acidity values, while in the 2021 harvest no difference was noted in acidity values.

Table 3. Technological maturity

Sugar content (°Brix), titratable acidity (TA), pH and berry weight of Sanforte berries treated with two different soil managements: Zeowine (Z) and Compost (C). Data (mean ± s.e., n = 12) were subjected to one-way ANOVA. Different letters within the same parameter and row indicate significant differences (LSD test, P ⩽ 0.05)

As shown in Table 4, the greatest differences in phenolic maturity were found in the composition of extractable and total anthocyanins. As for the 2020 season, at full maturation and harvest, Z berries showed significantly higher extractable and total anthocyanin content compared to C berries. The lowest values in total anthocyanins were recorded for the C treatment at the three different stages. No differences in total polyphenols at harvest were found. At full maturation, no differences in extractable polyphenols were found, while at harvest C berries showed significantly higher extractable polyphenol content compared to the Z treatments.

Table 4. Phenolic maturity

Total anthocyanin (Tot. Anth.), extractable anthocyanin (Extr. Anth.), total polyphenol (Tot. Polyp.) and extractable polyphenol (Extr. Polyp.) content of Sanforte berries treated with two different soil managements: Zeowine (Z) and Compost. Data (mean ± s.e., n = 12) were subjected to one-way ANOVA. Different letters within the same parameter and row indicate significant differences (LSD test, P ⩽ 0.05)

As for the 2021 season, at mid-, full-maturation and harvest Z berries showed significantly higher extractable and total anthocyanin content compared to C berries. At harvest, Z berries showed significantly higher extractable and total polyphenol content compared to the C treatments.

In both seasons, significant differences were found for the production parameters at harvest (Table 5). Treatment Z, in general, had a higher weight of the bunches and yield per plant compared to the C treatment.

Table 5. Production parameters

Cluster weight (kg), yield/vine (kg) and a number of cluster/vine of Sanforte cv. With two different soil management: zeowine (Z) and compost. Different letters within the same parameter indicate significant differences. Data (mean ± s.e., n = 12) were subjected to one-way ANOVA (LSD test, P ⩽ 0.05)

Discussion

To focus on climate change, the main objectives of soil management are to maintain an environment that favours the development of the vegetative apparatus, the accumulation of organic matter, the absorption of water and the use of nutrients; management that causes drop-in soil skills to reduce these aspects (Smith and Powlson, Reference Smith and Powlson2007). However, proper soil management can be expected to restore ecosystem functions that have been degraded (Komatsuzaki and Ohta, Reference Komatsuzaki and Ohta2007).

This study highlights the importance of soil management in the Mediterranean area through the application of a new zeolitic-based product against the problems of climate change. Chlorophyll a fluorescence (F v/F m, an indicator of photo-oxidative stress; Baroli et al., Reference Baroli, Gutman, Ledford, Shin, Chin, Havaux and Niyogi2004; Lichtenthaler et al., Reference Lichtenthaler, Buschmann and Knapp2005) reported differences especially on the hottest days (6–19 August 2019, 3 August 2020 and 18 August 2021). The photo-oxidative shock inhibited photosystem II (PSII) efficiency, as suggested by the reduction of F v/F m ratios (Pietrini et al., Reference Pietrini, Chaudhuri, Thapliyal and Massacci2005). We hypothesize, that in the C treatment, the extreme temperature-induced photo-oxidative stress as could be derived from increased expression of reactive oxygen species (ROS) scavengers and an increased pool size of the xanthophyll cycle pigments (Jaghdani et al., Reference Jaghdani, Jahns and Tränkner2021). Consequently, in C treatment, a robust inhibitory effect on photosynthetic capacity and net CO2 assimilation (Pn) was reported during that period, as a typical impact of PSII deficiency (Pintó-Marijuan and Munné-Bosch, Reference Pintó-Marijuan and Munné-Bosch2014). Gaseous exchanges were affected in zeolite-treated vines; Zeowine showed higher rates of photosynthesis v. C treatment (De Smedt et al., Reference De Smedt, Steppe and Spanoghe2017). The photosynthesis trend during the seasons of both treatments reflected that temperature directly influenced the photosynthesis rate by stimulating the activity of photosynthetic enzymes and the electron transport chain (ETC) (Slot and Winter, Reference Slot and Winter2017). At low temperatures, the Pn rate increased proportionally with the temperature until it reached an optimum (Long, Reference Long1983). The higher-summer temperatures reduced C photosynthesis (i.e. during 2020, on August 3th maximum temperatures above 30°C led to the following photosynthesis values: C treatment 3.77 μmol CO2/m2s and Z treatment 7.30 μmol CO2/m2s). In addition, an increase in the air temperature for the C treatment indirectly led to increased leaf temperature, which could stimulate water loss by transpiration and elevate vapour pressure deficit (VPD) (Yang et al., Reference Yang, Sinclair, Zhu, Messina, Cooper and Hammer2012). Probably the effect on leaf temperature was mediated by water availability, as it was observed from stem water potential data. As with barley and corn seedlings (Krutilina et al., Reference Krutilina, Polyanskaya, Goncharova and Letchamo2000), the application of zeolite to the vineyard soil was found to increase photosynthetic activity.

In contrast to what was observed by Steiman et al. (Reference Steiman, Bittenbender and Idol2007) the WUE of zeolite treated plants was usually higher to compost vines, suggesting that zeolites did increase water consumption with increasing CO2 fixation (Chaves et al., Reference Chaves, Osorio and Pereira2004). Due to zeolitic ability to retain water (Sepaskhah and Barzegar, Reference Sepaskhah and Barzegar2010), plants treated with clinoptilolite (Zeowine) showed significantly lower leaf temperatures in both seasons than zeolite-free composting plants. The following reductions were recorded during 2019: −1.25% on June 21st, −2.14% on July 9th, −8.14% on July 17th, −5.81% on July 22nd, −7.90% on July 31st, −7.11% on August 19th. The following reductions were recorded during 2020: −1.11% on May 22nd, −3.79% on June 9th, −3.49% on June 22nd, −1.58% on July 2nd, −2.77% on July 13rd, −2.85% on August 3rd. Instead, the following reductions were recorded during 2021: −7.00% on June 28th, −2.51% on 5th July, −3.69% on 12 July, −5.17% on 29 July, −1.47% on 18th August and −4.66% on 31st August. Probably the lower transpiration rates of compost-treated plants may explain the higher leaf-air temperature that was observed (De Smedt et al., Reference De Smedt, Someus and Spanoghe2015).

In all seasons the Sanforte cultivar recorded valuable stomatic conductance values, reflecting its anisohydric-conservative behaviour (drought-tolerance) under stress conditions, keeping stomas always open (Rogiers et al., Reference Rogiers, Greer, Hatfield, Hutton, Clarke, Hutchinson and Somers2012), despite the fall in water potential for compost treatment.

In our study the synergy of compost and zeolite positively affected water stress; due to the zeolitic skill of adsorption and release water (Polat et al., Reference Polat, Karaca, Demir and Onus2004), the Zeowine application showed less negative water potential values during the most syccitous period in all years (2019, 2020 and 2021). In fact, several studies on species other than the grapevine also reported that water deficit stress was mitigated by soil applications of zeolite such as in Aloe vera L. (Hazrati et al., Reference Hazrati, Tahmasebi-Sarvestani, Mokhtassi-Bidgoli, Modarres-Sanavy, Mohammadi and Nicola2017), in Trigonella foenum-graecum (Baghbani-Arani et al., Reference Baghbani-Arani, Modarres-Sanavy, Mashhadi-Akbar-Boojar and Mokhtassi-Bidgoli2017), in Oryza sativa L. (Zheng et al., Reference Zheng, Chen, Wu, Yu, Chen, Chen and Xia2018), in Hordeum vulgare L. (Ahmed et al., Reference Ahmed, Al-Ghouti, Hussain and Mahmoud2017) and in Cucumis sativus L. (Mohabbati et al., Reference Mohabbati, Mood, Shahidi and Siuki2018). Zeolite increased the water-holding capacity of the soil and improved soil quality in the root zone (AL-Busaidi et al., Reference AL-Busaidi, Yamamoto, Tanigawa and Rahman2011).

During the 2020 season, significant differences at full veraison, mid-maturation and harvest were noted in sugar content, while during the 2021 season, significant differences at mid-, full-maturation and harvest were noted in sugar content: Z had the highest values than C treatment. At the time of harvest, Zeowine increased the sugar content of 5.50% in 2020 and 2.00% in 2021. We hypothesize that the higher sugar content of Zeowine-treated plants was due to their higher rate of photosynthesis (Medrano et al., Reference Medrano, Escalona, Cifre, Bota and Flexas2003). A close link between photosynthesis (Rubisco activity) and vine carbohydrate metabolism was found and it was observed that the photosynthesis rate (Pn) was directly related to the rate of the sugar metabolic process (Mao et al., Reference Mao, Li, Mi, Ma, Dawuda, Zuo, Zhang, Jiang and Chen2018). Moreover, we hypothesize that this correlation was due to the young age of the plants; in fact, as there were few stored carbohydrates, berry sugar accumulation was more sensitive to photosynthesis. Vines subjected to zeolite foliar applications (chabasite rich-zeolitite) in addition to significantly reducing grey mould and sour rot infections, increased sugar and alcohol content. In addition, these effects have been linked to the reduction of the leaf temperature, in this case, due to zeolite ability to reflect infrared radiation (Calzarano et al., Reference Calzarano, Seghetti, Pagnani and Di Marco2020). However, it cannot be excluded the zeolite capacity to absorb carbon dioxide, determining its increase near the stomata and net photosynthesis increase (De Smedt et al., Reference De Smedt, Steppe and Spanoghe2017). This aspect deserves more and deeper investigation.

A 23% (2020) and 31% (2021) increase in the weight of the harvest berry for zeowine treatment was also observed; the ability of zeolite to improve the radical water microclimate led to more hydrated and larger berries (Baeza et al., Reference Baeza, Sánchez-de-Miguel, Centeno, Junquera, Linares and Lissarrague2007).

Regarding phenolic maturity, the greatest differences were found in the composition of extractable and total anthocyanins. At full maturation and harvest, Z berries showed significantly higher extractable and total anthocyanin content compared to C berries (2020). The lowest values in total anthocyanins were recorded for the C treatment at the three different stages during the seasons. At mid-, full-maturation and harvest Z berries showed significantly higher extractable and total anthocyanin content compared to C berries (2021). The higher Brix degree of Z treatment may explain the increased accumulation of anthocyanins in the berries (sugar/anthocyanin relationship) (Hernández-Hierro et al., Reference Hernández-Hierro, Quijada-Morín, Martínez-Lapuente, Guadalupe, Ayestarán, Rivas-Gonzalo and Escribano-Bailón2014). In fact, it was demonstrated that differences in the anthocyanin extractability were highly influenced by the ripeness degree and also, by the soluble solids contents (Hernández-Hierro et al., Reference Hernández-Hierro, Quijada-Morín, Rivas-Gonzalo and Escribano-Bailón2012). During the 2020 season, no differences in total polyphenols at harvest were found. At full maturation, no differences in extractable polyphenols were found, while at harvest C berries showed significantly higher extractable polyphenol content compared to the Z application. During the 2021 season, significant differences in polyphenols at harvest were found; Z berries showed significantly higher extractable and total polyphenol content compared to the C application. Increases in total anthocyanins, but also in total polyphenols and colour intensity, were recorded in wine obtained from vines treated with zeolite leaf applications (Calzarano et al., Reference Calzarano, Valentini, Arfelli, Seghetti, Manetta, Metruccio and Di Marco2019). Again, the leaf temperature reduction effect may have been decisive, for these results, because linked to higher biosynthesis of phenolic compounds (Conde et al., Reference Conde, Pimentel, Neves, Dinis, Bernardo, Correia, Gerós and Moutinho-Pereira2016; Movahed et al., Reference Movahed, Pastore, Cellini, Allegro, Valentini, Zenoni, Cavallini, D'Incà, Tornielli and Filippetti2016). Considering the promising results obtained by zeolite leaf applications, and in this study, by zeolite soil applications, their synergic use may be desirable, with a view to environmentally friendly crop management.

Significant differences were found for the production parameters at harvest. Treatment Z had generally increased the weight of bunches, yield by vine (2020, 2021) and their number (2020). In fact, an increased concentration of CO2 (CO2 adsorption/desorption zeolite skill; Liu et al., Reference Liu, He, Qian, Fei, Zhang, Chen and Shi2017) provides a higher crop production (Kimball, Reference Kimball1986).

Conclusions

Based on the findings of this experiment, it could be concluded that the deleterious effects of global warming, in a new grapevine plant, can be reduced with Zeowine soil improver. The zeolite skill to hold water and exchange nutrients, gave the vines the strength to improve their performance and carry out better production than the compost treatment. The features of zeolite combined with compost could be one of the best solutions to make a stand against drought problems. Therefore, it is in this scenario that the application of Zeowine in the vineyard to the soil can be a valid tool to mitigate the effects of climate change. However, further investigations are needed, given the few studies carried out on the application of zeolites in vineyards.

Acknowledgements

The authors gratefully acknowledge the technical assistance of Filippo Rossi (GMR, Strumenti). The study was carried out within the framework of the LIFE EU project LIFE ZEOWINE LIFE17 ENV/IT/000427 ‘ZEOlite and WINEry waste as an innovative product for wine production’.

Financial support

This research received no specific grant from any funding agency, commercial or not-for-profit sectors.

Conflict of interest

The authors declare there are no conflicts of interest.

Ethical standards

Not applicable.

References

Ahmed, TA, Al-Ghouti, MA, Hussain, N and Mahmoud, AM (2017) An insights into growth characteristics of barely (Hordeum Vulgare) in a zeolitic soil irrigated with saline water. International Journal of Agriculture and Economic Development 5, 11.Google Scholar
AL-Busaidi, A, Yamamoto, T, Tanigawa, T and Rahman, HA (2011) Use of zeolite to alleviate water stress on subsurface drip-irrigated barley under hot environments. Irrigation and Drainage 60, 473480.CrossRefGoogle Scholar
Allaire, J (2012) RStudio: Integrated Development Environment for R. Boston, MA, 770, 394.Google Scholar
Bacakova, L, Vandrovcova, M, Kopova, I and Jirka, I (2018) Applications of zeolites in biotechnology and medicine–a review. Biomaterials Science 6, 974989.CrossRefGoogle ScholarPubMed
Baeza, P, Sánchez-de-Miguel, P, Centeno, A, Junquera, P, Linares, R and Lissarrague, JR (2007) Water relations between leaf water potential, photosynthesis and agronomic vine response as a tool for establishing thresholds in irrigation scheduling. Scientia Horticulturae 114, 151158.CrossRefGoogle Scholar
Baghbani-Arani, A, Modarres-Sanavy, SAM, Mashhadi-Akbar-Boojar, M and Mokhtassi-Bidgoli, A (2017) Towards improving the agronomic performance, chlorophyll fluorescence parameters and pigments in fenugreek using zeolite and vermicompost under deficit water stress. Industrial Crops and Products 109, 346357.CrossRefGoogle Scholar
Baroli, I, Gutman, BL, Ledford, HK, Shin, JW, Chin, BL, Havaux, M and Niyogi, KK (2004) Photo-oxidative stress in a xanthophyll-deficient mutant of Chlamydomonas. Journal of Biological Chemistry 279, 63376344.CrossRefGoogle Scholar
Bish, DL and Ming, DW (eds.). (2018) Natural Zeolites: Occurrence, Properties, Applications, vol. 45. Virginia, Walter de Gruyter GmbH & Co KG.Google Scholar
Buesa, I, Miras-Ávalos, JM, De Paz, JM, Visconti, F, Sanz, F, Yeves, A, Guerra D and Intrigliolo, DS (2021) Soil management in semi-arid vineyards: combined effects of organic mulching and no-tillage under different water regimes. European Journal of Agronomy 123, 126198.CrossRefGoogle Scholar
Burkart, S, Manderscheid, R, Wittich, KP, Löpmeier, FJ and Weigel, HJ (2011) Elevated CO2 effects on canopy and soil water flux parameters measured using a large chamber in crops grown with free-air CO2 enrichment. Plant Biology 13, 258269.CrossRefGoogle ScholarPubMed
Calzarano, F, Valentini, G, Arfelli, G, Seghetti, L, Manetta, AC, Metruccio, EG and Di Marco, S (2019) Activity of Italian natural chabasite-rich zeolitites against grey mould, sour rot and grapevine moth, and effects on grape and wine composition. Phytopathologia Mediterranea 58, 307321.Google Scholar
Calzarano, F, Seghetti, L, Pagnani, G and Di Marco, S (2020) Italian Zeolitites in the control of grey mould and sour Rot and their effect on leaf reflectance. Grape and Wine. Agriculture 10, 580.CrossRefGoogle Scholar
Cataldo, E, Salvi, L and Mattii, GB (2021a) Effects of irrigation on ecophysiology, sugar content and thiol precursors (3-S-cysteinylhexan-1-ol and 3-S-glutathionylhexan-1-ol) on Vitis vinifera cv. Sauvignon Blanc. Plant Physiology and Biochemistry 164, 247259.CrossRefGoogle Scholar
Cataldo, E, Salvi, L, Paoli, F, Fucile, M and Mattii, GB (2021b) Effects of defoliation at fruit Set on vine physiology and berry composition in cabernet sauvignon grapevines. Plants 10, 1183.CrossRefGoogle Scholar
Chaves, MM, Osorio, J and Pereira, JS (2004). Water use Efficiency and Photosynthesis. Boca Raton, FL: CRC Press, pp. 4274.Google Scholar
Chen, C, van Groenigen, KJ, Yang, H, Hungate, BA, Yang, B, Tian, YZhang, W (2020) Global warming and shifts in cropping systems together reduce China's rice production. Global Food Security 24, 100359.CrossRefGoogle Scholar
Cline, WR (2008) Global warming and agriculture. Finance & Development 45, 001.Google Scholar
Conde, A, Pimentel, D, Neves, A, Dinis, LT, Bernardo, S, Correia, CM, Gerós, H and Moutinho-Pereira, J (2016) Kaolin foliar application has a stimulatory effect on phenylpropanoid and flavonoid pathways in grape berries. Frontiers in Plant Science 7, 1150.CrossRefGoogle Scholar
Deryng, D, Elliott, J, Folberth, C, Müller, C, Pugh, TA, Boote, KJRosenzweig, C (2016) Regional disparities in the beneficial effects of rising CO2 concentrations on crop water productivity. Nature Climate Change 6, 786790.CrossRefGoogle Scholar
De Smedt, C, Someus, E and Spanoghe, P (2015) Potential and actual uses of zeolites in crop protection. Pest Management Science 71, 13551367.CrossRefGoogle ScholarPubMed
De Smedt, C, Steppe, K and Spanoghe, P (2017) Beneficial effects of zeolites on plant photosynthesis. Advanced Materials Science 2, 111.Google Scholar
Doni, S, Gispert, M, Peruzzi, E, Macci, C, Mattii, GB, Manzi, DMasciandaro, G (2021) Impact of natural zeolite on chemical and biochemical properties of vineyard soils. Soil Use Manage 37, 832842. https://doi.org/10.1111/sum.12665.CrossRefGoogle Scholar
Glories, Y (1984a) La couleur des vins rouges 1: les equilibres des anthocyanes et des tanins. Connaissance Vigne Vin 18, 195217.Google Scholar
Glories, Y (1984b) La couleur des vins rouges 2: mesure origine et interpretation. Connaissance Vigne Vin 18, 253271.Google Scholar
Gourdji, SM, Sibley, AM and Lobell, DB (2013) Global crop exposure to critical high temperatures in the reproductive period: historical trends and future projections. Environmental Research Letters 8, 024041.CrossRefGoogle Scholar
Halim, AA, Aziz, HA, Johari, MAM and Ariffin, KS (2010) Comparison study of ammonia and COD adsorption on zeolite, activated carbon and composite materials in landfill leachate treatment. Desalination 262, 3135.CrossRefGoogle Scholar
Hazrati, S, Tahmasebi-Sarvestani, Z, Mokhtassi-Bidgoli, A, Modarres-Sanavy, SAM, Mohammadi, H and Nicola, S (2017) Effects of zeolite and water stress on growth, yield and chemical compositions of Aloe vera L. Agricultural Water Management 181, 6672.CrossRefGoogle Scholar
Hedhly, A, Hormaza, JI and Herrero, M (2009) Global warming and sexual plant reproduction. Trends in Plant Science 14, 3036.CrossRefGoogle ScholarPubMed
Hedström, A (2001) Ion exchange of ammonium in zeolites: a literature review. Journal of Environmental Engineering 127, 673681.CrossRefGoogle Scholar
Hernández-Hierro, JM, Quijada-Morín, N, Rivas-Gonzalo, JC and Escribano-Bailón, MT (2012) Influence of the physiological stage and the content of soluble solids on the anthocyanin extractability of Vitis vinifera L. cv. Tempranillo grapes. Analytica Chimica Acta 732, 2632.CrossRefGoogle ScholarPubMed
Hernández-Hierro, JM, Quijada-Morín, N, Martínez-Lapuente, L, Guadalupe, Z, Ayestarán, B, Rivas-Gonzalo, JC and Escribano-Bailón, MT (2014) Relationship between skin cell wall composition and anthocyanin extractability of Vitis vinifera L. cv. Tempranillo at different grape ripeness degree. Food Chemistry 146, 4147.CrossRefGoogle ScholarPubMed
Houghton, J (2005) Global warming. Reports on Progress in Physics 68, 1343.CrossRefGoogle Scholar
Ilić, ZZ, Petrović, MP, Pešev, S, Stojković, J and Ristanović, B (2011) Zeolite as a factor in the improvement of some production traits of dairy cattle. Biotechnology in Animal Husbandry 27, 10011007.CrossRefGoogle Scholar
Jaghdani, SJ, Jahns, P and Tränkner, M (2021) Mg deficiency induces photo-oxidative stress primarily by limiting CO2 assimilation and not by limiting photosynthetic light utilization. Plant Science 302, 110751.CrossRefGoogle Scholar
Johnston, AE (1986) Soil organic matter, effects on soils and crops. Soil Use and Management 2, 97105.CrossRefGoogle Scholar
Kimball, BA (1986) Influence of elevated CO2 on crop yield. In Carbon Dioxide Enrichment of Greenhouse Crops vol. II. Physiology, Yield and Economics, pp. 105115.Google Scholar
Komatsuzaki, M and Ohta, H (2007) Soil management practices for sustainable agro-ecosystems. Sustainability Science 2, 103120.CrossRefGoogle Scholar
Krutilina, VS, Polyanskaya, SM, Goncharova, NA and Letchamo, W (2000) Effects of zeolite and phosphogypsum on growth, photosynthesis and uptake of Sr, Ca and Cd by barley and corn seedlings. Journal of Environmental Science & Health Part A 35, 1529.CrossRefGoogle Scholar
Lichtenthaler, HK, Buschmann, C and Knapp, M (2005) How to correctly determine the different chlorophyll fluorescence parameters and the chlorophyll fluorescence decrease ratio R Fd of leaves with the PAM fluorometer. Photosynthetica 43, 379393.CrossRefGoogle Scholar
Liu, Q, He, P, Qian, X, Fei, Z, Zhang, Z, Chen, XShi, Y (2017) Enhanced CO2 adsorption performance on hierarchical porous ZSM-5 zeolite. Energy & Fuels 31, 1393313941.CrossRefGoogle Scholar
Long, SP (1983) C4 photosynthesis at low temperatures. Plant, Cell & Environment 6, 345363.Google Scholar
Mao, J, Li, W, Mi, B, Ma, Z, Dawuda, MM, Zuo, C, Zhang, Y, Jiang, X and Chen, B (2018) Transcriptome analysis revealed glucose application affects plant hormone signal transduction pathway in “Red Globe” grape plantlets. Plant Growth Regulation 84, 4556.CrossRefGoogle Scholar
Margeta, K, Logar, NZ, Šiljeg, M and Farkaš, A (2013) Natural zeolites in water treatment–how effective is their use. Water Treatment 5, 81112.Google Scholar
Marín, D, Armengol, J, Carbonell-Bejerano, P, Escalona, JM, Gramaje, D, Hernández-Montes, EDe Herralde, F (2021) Challenges of viticulture adaptation to global change: tackling the issue from the roots. Australian Journal of Grape and Wine Research 27, 825.CrossRefGoogle Scholar
Martínez-Blanco, J, Lazcano, C, Christensen, TH, Muñoz, P, Rieradevall, J, Møller, JBoldrin, A (2013) Compost benefits for agriculture evaluated by life cycle assessment. A review. Agronomy for Sustainable Development 33, 721732.CrossRefGoogle Scholar
Maxwell, K and Johnson, GN (2000) Chlorophyll fluorescence – a practical guide. Journal of Experimental Botany 51, 659668.CrossRefGoogle ScholarPubMed
Medrano, H, Escalona, JM, Cifre, J, Bota, J and Flexas, J (2003) A ten-year study on the physiology of two Spanish grapevine cultivars under field conditions: effects of water availability from leaf photosynthesis to grape yield and quality. Functional Plant Biology 30, 607619.CrossRefGoogle Scholar
Mofarahi, M and Gholipour, F (2014) Gas adsorption separation of CO2/CH4 system using zeolite 5A. Microporous and Mesoporous Materials 200, 110.CrossRefGoogle Scholar
Mohabbati, A A, Mood, M N, Shahidi, A and Siuki, A K (2018) Interaction of water stress and zeolite application on greenhouse cucumber (Cucumis sativus L.) yield. Journal of Science and Technology of Greenhouse Culture 9, 5566.Google Scholar
Movahed, N, Pastore, C, Cellini, A, Allegro, G, Valentini, G, Zenoni, S, Cavallini, E, D'Incà, E, Tornielli, GB and Filippetti, I (2016) The grapevine VviPrx31 peroxidase as a candidate gene involved in anthocyanin degradation in ripening berries under high temperature. Journal of Plant Research 129, 513526.CrossRefGoogle ScholarPubMed
Nomura, Y, Fukahori, S, Fukada, H and Fujiwara, T (2017) Removal behaviors of sulfamonomethoxine and its degradation intermediates in fresh aquaculture wastewater using zeolite/TiO2 composites. Journal of Hazardous Materials 340, 427434.CrossRefGoogle ScholarPubMed
Paudel, KP and Hatch, LU (2012) Global warming, impact on agriculture and adaptation strategy. Natural Resource Modeling 25, 456481.CrossRefGoogle Scholar
Pietrini, F, Chaudhuri, D, Thapliyal, AP and Massacci, A (2005) Analysis of chlorophyll fluorescence transients in mandarin leaves during a photo-oxidative cold shock and recovery. Agriculture, Ecosystems & Environment 106, 189198.CrossRefGoogle Scholar
Pintó-Marijuan, M and Munné-Bosch, S (2014) Photo-oxidative stress markers as a measure of abiotic stress-induced leaf senescence: advantages and limitations. Journal of Experimental Botany 65, 38453857.CrossRefGoogle ScholarPubMed
Pisarovic, A, Filipan, T and Tisma, S (2003) Application of zeolite-based special substrates in agriculture: ecological and economical justification. Periodicum Biologorum 105, 287293.Google Scholar
Polat, E, Karaca, M, Demir, H and Onus, AN (2004) Use of natural zeolite (clinoptilolite) in agriculture. Journal of Fruit and Ornamental Plant Research 12, 183189.Google Scholar
Ramesh, K and Reddy, DD (2011) Zeolites and their potential uses in agriculture. Advances in Agronomy 113, 219241.CrossRefGoogle Scholar
Rhodes, CJ (2010) Properties and applications of zeolites. Science Progress 93, 223284.CrossRefGoogle Scholar
Ribéreau-Gayon, P, Glories, Y, Maujean, A. and Dubourdieu, D. (2021). Handbook of Enology, Volume 2: The Chemistry of Wine Stabilization and Treatments. Hoboken, NJ: John Wiley & Sons.CrossRefGoogle Scholar
Ritchie, G. A. and Hinckley, T. M. (1975). The pressure chamber as an instrument for ecological research. In Advances in Ecological Research. Academic Press Inc. (London) Ltd. Published by Elsevier Ltd, vol. 9, pp. 165254.Google Scholar
Rogiers, SY, Greer, DH, Hatfield, JM, Hutton, RJ, Clarke, SJ, Hutchinson, PA and Somers, A (2012) Stomatal response of an anisohydric grapevine cultivar to evaporative demand, available soil moisture and abscisic acid. Tree Physiology 32, 249261.CrossRefGoogle ScholarPubMed
Rosenzweig, C, Curry, B, Richie, JT, Jones, JW, Chou, TY, Goldberg, R and Iglesias, A (1994) The effects of potential climate change on simulated grain crops in the United States. In Implications of Climate Change for International Agriculture: Crop Modelling Study, pp. 100124.Google Scholar
Santos, JA, Fraga, H, Malheiro, AC, Moutinho-Pereira, J, Dinis, LT, Correia, CSchultz, HR (2020) A review of the potential climate change impacts and adaptation options for European viticulture. Applied Sciences 10, 3092.CrossRefGoogle Scholar
Savoi, S, Herrera, JC, Carlin, S, Lotti, C, Bucchetti, B, Peterlunger, E, Castellarin, DS and Mattivi, F (2020) From grape berries to wines: drought impacts on key secondary metabolites. OENO One 54, 569582.CrossRefGoogle Scholar
Sepaskhah, AR and Barzegar, M (2010) Yield, water and nitrogen-use response of rice to zeolite and nitrogen fertilization in a semi-arid environment. Agricultural Water Management 98, 3844.CrossRefGoogle Scholar
Slot, M and Winter, K (2017) In situ temperature response of photosynthesis of 42 tree and liana species in the canopy of two Panamanian lowland tropical forests with contrasting rainfall regimes. New Phytologist 214, 11031117.CrossRefGoogle ScholarPubMed
Smith, P and Powlson, DS (2007) Sustainability of soil management practices-a global perspective. In Soil Biological Fertility. Dordrecht: Springer, pp. 241254.Google Scholar
Steiman, SR, Bittenbender, HC and Idol, TW (2007) Analysis of kaolin particle film use and its application on coffee. HortScience 42, 16051608.CrossRefGoogle Scholar
Tahervand, S and Jalali, M (2017) Sorption and desorption of potentially toxic metals (Cd, Cu, Ni and Zn) by soil amended with bentonite, calcite and zeolite as a function of pH. Journal of Geochemical Exploration 181, 148159.CrossRefGoogle Scholar
Trahan, MW and Schubert, BA (2016) Temperature-induced water stress in high-latitude forests in response to natural and anthropogenic warming. Global Change Biology 22, 782791.CrossRefGoogle ScholarPubMed
Van Speybroeck, V, Hemelsoet, K, Joos, L, Waroquier, M, Bell, RG and Catlow, CRA (2015) Advances in theory and their application within the field of zeolite chemistry. Chemical Society Reviews 44, 70447111.CrossRefGoogle ScholarPubMed
Viciedo, DO, de Mello Prado, R, Martinez, CA, Habermann, E, Branco, RBF, de Cássia Piccolo, MTenesaca, LFL (2021) Water stress and warming impact nutrient use efficiency of Mombasa grass (Megathyrsus maximus) in tropical conditions. Journal of Agronomy and Crop Science 207, 128138.CrossRefGoogle Scholar
Yang, Z, Sinclair, TR, Zhu, M, Messina, CD, Cooper, M and Hammer, GL (2012) Temperature effect on transpiration response of maize plants to vapour pressure deficit. Environmental and Experimental Botany 78, 157162.CrossRefGoogle Scholar
Zheng, J, Chen, T, Wu, Q, Yu, J, Chen, W, Chen, YXia, G (2018) Effect of zeolite application on phenology, grain yield and grain quality in rice under water stress. Agricultural Water Management 206, 241251.CrossRefGoogle Scholar
Figure 0

Table 1. Climatic zones of the Italian territory according to the degree days (GG)

Figure 1

Fig. 1. Colour online. Vineyard Microclimate. Monthly total rainfall (mm) and mean, maximum, minimum temperature (°C) of 2019, 2020 and 2021. The data refer to the following months: April 2019–December 2019 (91–335 DOY), January 2020–December 2020 (1–336 DOY) and January 2021–September 2021 (1–244 DOY).

Figure 2

Fig. 2. Colour online. Vineyard Microclimate. Daily total rainfall (mm) and mean, maximum, minimum temperature (°C) of 2019 (a), 2020 (b) and 2021 (c). All data refer to the hottest central months of each year (from June to September). The days are expressed in Day of the Year (DOY) as follows: June 2019 (152–181), July 2019 (182–212), August 2019 (213–243), September 2019 (244–273) and June 2020 (153–182), July 2020 (183–213), August 2020 (214–244), September 2020 (245–274) and June 2021 (152–181), July 2021 (182–212), August 2021 (213–243), September 2021 (244–255).

Figure 3

Fig. 3. Colour online. Maximum quantum yield of PSII (Fv/Fm) ((A), 2019; (C), 2020; (E), 2021) and chlorophyll content (SPAD Units) ((B), 2019; (D), 2020; (F), 2021) in Vitis vinifera with two different soil management: Zeowine (Z, green column) and Compost (C, brown column). The days are expressed in Day of the Year (DOY): 22 July 2019 (203), 21 July 2020 (195), 12 July 2021 (193); 6 August 2019 (218), 3 August 2020 (216), 29 July 2021 (210); 19 August 2019 (231), 14 August 2020 (230), 18 August 2021 (230). Different letters within the same parameter indicate significant differences. Data (mean ± s.e., n = 12) were subjected to one-way ANOVA (LSD test, P ⩽ 0.05).

Figure 4

Table 2. Physiological parameters

Figure 5

Fig. 4. Colour online. Stomatal conductance (gs, mmol m-2s-1), ((A), 2019; (C), 2020; (E) 2021) and leaf temperature (°C) ((B), 2019; (D), 2020; (F), 2021) in Vitis vinifera with two different soil management: Zeowine (Z, green line) and Compost (C, brown line). The days are expressed in Day of the Year (DOY): 9–17–22 July 2019 (190–198–203), 6–19–26 August 2019 (218–231–238) and 2–13–21 July 2020 (184–195–203), 1–17 August 2020 (214–230), 3 September 2020 (247) and 28 June 2021 (179), 5–12–29 July 2021 (186–193–200), 18–31 August 2021 (230–243). Different letters within the same parameter indicate significant differences. Data (mean ± s.e., n = 12) were subjected to one-way ANOVA (LSD test, P ⩽ 0.05).

Figure 6

Fig. 5. Colour online. Physiological parameters. Stem water potential (ψ, MPa), ((A), 2019; (B), 2020; (C), 2021) in Vitis vinifera with two different soil management: Zeowine (Z, green line) and Compost (C, brown line). The days are expressed in Day of the Year (DOY): 9–17–22 July 2019 (190–198–203), 6–19–26 August 2019 (218–231–238) and 2–13–21 July 2020 (184–195–203), 1–17 August 2020 (214–230), 3 September 2020 (247) and 28 June 2021 (179), 5–12–29 July 2021 (186–193–200), 18–31 August 2021 (230–243). Different letters within the same parameter indicate significant differences. Data (mean ± s.e., n = 12) were subjected to one-way ANOVA (LSD test, P ⩽ 0.05).

Figure 7

Table 3. Technological maturity

Figure 8

Table 4. Phenolic maturity

Figure 9

Table 5. Production parameters