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Article

Salt Stress Mitigation and Field-Relevant Biostimulant Activity of Prosystemin Protein Fragments: Novel Tools for Cutting-Edge Solutions in Agriculture

1
Department of Agricultural Sciences, University of Naples Federico II, 80055 Portici, Italy
2
Consorzi Agrari D’Italia, San Giorgio di Piano via Centese 5/3, 40016 Bologna, Italy
3
Materias Srl, Corso Nicolangelo Protopisani 50, 80146 Naples, Italy
4
Institute of Biostructures and Bioimaging, National Research Council (IBB-CNR), via Pietro Castellino 111, 80131 Naples, Italy
*
Author to whom correspondence should be addressed.
Plants 2025, 14(15), 2411; https://doi.org/10.3390/plants14152411
Submission received: 20 June 2025 / Revised: 21 July 2025 / Accepted: 27 July 2025 / Published: 4 August 2025
(This article belongs to the Section Plant Physiology and Metabolism)

Abstract

In an increasingly challenging agricultural environment, the identification of novel tools for protecting crops from stress agents while securing marketable production is a key objective. Here we investigated the effects of three previously characterized Prosystemin-derived functional peptide fragments as protective agents against salt stress and as biostimulants modulating tomato yield and quality traits. The treatments of tomato plants with femtomolar amounts of the peptides alleviated salt stress symptoms, likely due to an increase in root biomass up to 18% and the upregulation of key antioxidant genes such as APX2 and HSP90. In addition, the peptides exhibited biostimulant activity, significantly improving root area (up to 10%) and shoot growth (up to 9%). We validated such activities through two-year field trials carried out on industrial tomato crops. Peptide treatments confirmed their biostimulant effects, leading to a nearly 50% increase in marketable production compared to a commonly used commercial product and consistently enhancing fruit °Brix values.

1. Introduction

Plants, as sessile organisms, must directly face multiple and constant stresses. To counteract these continuous challenges, they have developed sophisticated chemical-based defense and signaling mechanisms [1]. The output of these mechanisms allows plants to react against adverse growth conditions by triggering the production of primary and secondary danger signals, which help to ward off pest invasions and reduce the damage of other environmental stress agents. Secondary signals, also referred to as phytocytokines, are processed in response to damage [2]. Systemin (Sys) is one of the first examples identified in tomato plants [3,4]. Embedded in the C-terminus of its precursor Prosystemin (ProSys), Sys is released following wounding or herbivore feeding [5]. After its release, it is detected by its specific receptor SYR1, a leucine-rich repeat receptor kinase (LRR-RK) [6]. This interaction, in turn, triggers the production of its precursor, along with the synthesis of jasmonic acid (JA) and the emission of volatile organic compounds (VOCs) [7].
The investigation of Sys activity highlighted a link between biotic and abiotic responses: tomato plants treated with Sys or overproducing Sys showed a cross-tolerant phenotype [8,9]. We recently discovered that Sys is not the only bioactive sequence enclosed in ProSys as two protein fragments located in its N-terminus, named PS1-70 and PS1-120, also exhibit biological activity inducing the expression of defense-related genes and providing protection against S. littoralis larvae, as well as B. cinerea and A. alternata infections, without exerting any direct toxic effects on either target or non-target organisms [10]. Furthermore, recent analysis on the whole ProSys sequence revealed the presence of short repeat motifs (RMs), indicated as G1-4, R1-4 and T1-4, that also confer protection to tomato plants against biotic stressors when exogenously applied [11].
Natural plant peptides are a class of key signaling molecules that have gained great interest as sustainable tools for environmentally responsible crop management. They are induced in response to various stresses, including drought and salinity [12], and function as plant growth regulators, highlighting their versatile potential [13]. Several of these peptides are released by large precursor proteins consisting of 100 amino acids or more through proteolytic processes. These processes occur soon after the challenge to make rapidly available signals that prepare plants to counteract the incoming stress. In addition, plant peptides have also turned out to be a class of hormone molecules [14], able to act locally and systemically at extremely low concentrations (femtomolar to picomolar) to regulate plant stress responses and development [15,16].
Here we investigated the biological activity of different ProSys-derived sequences against salt stress in tomato plants. Our results demonstrated that plants exogenously treated with PS1-70 and PS1-120 fragments, as well as a G1 repeat, have a better performance both with and without salt stress conditions compared to untreated controls, likely as a direct consequence of gene activation following their biostimulant activity. This ability was also validated in field trials, during which treated plants showed an increased total and marketable production.

2. Results

2.1. Experimental Fragments Improve Root Growth Under Salinity and Act as Shoot Biostimulant

In order to evaluate the potential of exogenous applications of protein fragments PS1-70, PS1-120 and G1 repeat, hereafter referred to as experimental fragments (EFs), to improve tomato growth under salt stress conditions, shoot fresh weight (SFW) and root area were analyzed. Plants were drenched once with 100 fM solutions of each EF and subsequently exposed to salt stress. Our results (Table 1) confirm that salt stress treatment strongly suppresses both SFW and root area. Specifically, the application of 150 mM NaCl caused a 24% decrease in SFW and a 19% decrease in root area compared to zero salt treatment. Meanwhile, EF applications in non-stressed plants significantly enhanced growth: PS1-70 and G1 treatments increased SFW by 9% and 8%, respectively, over the untreated control, while PS1-120 showed no significant change. When EFs were applied to plants exposed to salt stress, SFW did not exhibit a significant salinity–EF interaction; meanwhile, root area displayed a highly significant interaction, as also depicted in Figure 1.
In Figure 1, it is possible to observe that the treatment with EFs did not affect root growth in the absence of salt stress, showing unchanged root area compared with the controls. Under salt stress conditions, the roots of EF-treated plants showed a significant increase in their biomass (+17%, +18% and +18% respectively after PS1-70, PS1-120 and G1 treatment), in comparison with the control, suggesting that the treatment mitigated salt stress.

2.2. EFs Positively Affect Stomatal Density and Area

The effect of EF applications was assessed by observing the stomatal density (SD) and area (SA), which may decrease in the presence of salt stress [17]. The analysis of SD and SA studies was conducted using image analysis on leaf impressions. This method emphasizes the micro-morphology of leaf cells by capturing images through light microscopy and subsequent computational processing.
In the absence of salt, PS1-70 and PS1-120 induced a significant increase in SD (+16% and +17% respectively), as shown in Figure 2A and in Supplementary Material Figure S1. Notably, irrigations with NaCl caused an SD decrease (−28%) in control plants, while treated plants kept a higher level of SD both in the presence and absence of salt (Figure 2A).
In the absence of salt, SA increased in fragment-treated plants in comparison with untreated controls (+23%, +36% and +30% for PS1-70, PS1-120 and G1 treatment, respectively). Conversely, under salt stress conditions, a significant increase in SA was registered in control plants (+72%) (Figure 2B). In EF-treated samples, a reduction in SA was observed (−24%, −13% and −22% after PS1-70, PS1-120 and G1 treatment, respectively); values closer to the SA value of the non-salinized control were reached, suggesting that ProSys-derived fragments help plants to recover the standard pattern of SA (Figure 2B).

2.3. Proline Content Is Reduced by EF Treatments During Salinity Stress

Proline contributes to the adaptation to salt stress as an activator of downstream signal transduction pathways and as an intermediary signaling effector that controls a variety of physiological and metabolic responses, including detoxification of reactive oxygen species (ROS) [18]. EF-treated plants did not influence proline content in the absence of salt, as shown in Figure 3. As expected, in salt-stressed plants, a significant increase in proline content was evident in all samples. Specifically, the presence of 150 mM NaCl caused a marked increase in proline in control plants (+228%). This content was lowered upon EF treatments to +121%, + 109% and +157% when stressed plants were treated with PS1-70, PS1-120 and G1, respectively (Figure 3).

2.4. EFs Modulate the Antioxidant Response of the Plant

The antioxidative response, where ascorbate peroxidase (APX) and catalase (CAT2) are key enzymes, is an integral part of the plant tolerance response to environmental stresses. Other proteins with a key role in stress conditions are heat shock proteins, which are very conserved and abundant molecular chaperones [19]. Thus, we analyzed the expression of two antioxidant enzymes, catalase (CAT2, Solyc02g082760.3) and ascorbate peroxidase (APX2, Solyc06g005150), along with a heat shock protein (HSP90, Solyc06g036290), through RT-PCR. As expected, plants treated with EFs in the absence of salt stress triggered a clear upregulation of all three investigated genes, suggesting that their exogenous application is perceived as stress signals priming the plant defense system (Figure 4). Consistent with this observation, transcript levels remained constant for the CAT2 gene (Figure 4A). Interestingly, APX2 and HSP90 genes increased further in the presence of salt stress, suggesting a synergistic interaction in which EFs not only prime defense gene induction but also amplify plants’ stress response under salt stress (Figure 4B,C).

2.5. EFs Exhibit Biostimulant Effects on Tomato Plants in Open-Field Experiments

Based on the data collected in the current study, along with previously reported findings regarding ProSys fragments [10] and RMs [11], we selected the most promising peptides for the evaluation of their potential biostimulant effects to be used in open-field trials. To this end, we tested PS1-70 and G1 over two years: 2023 (Experiment 1) and 2024 (Experiments 2a, 2b and 3). During the 2023 trial, the maximum and minimum daily temperatures averaged over the cultivation period were 30 °C and 18 °C in 2023 (23 May–22 August), with rainfall occurring predominantly in May and June, with a maximum recorded precipitation of more than 30 mm (Figure 5). These conditions supported the proper development of tomato plants. In 2024, three trials were performed on two different farms, and they were characterized by the maximum and minimum daily temperatures of 29.5 °C and 14.8 °C in both locations and a maximum recorded precipitation of 50 and 34 mm for exp2 and 3, respectively (1 May–21 August) (Figure 5).
These conditions were favorable for crop development as well. In the subsequent months, rising temperatures and limited rainfall did not create optimal conditions for disease development. To assess crop performance and, consequently, economic viability parameters that are directly influenced by the application of biostimulants, total and commercial crop production were measured. The open-field trial, carried out in Lagosanto (Ferrara) in 2024 (Exp.2a), was conducted by treating tomato plants every 30 days for a total of three applications. Treatments demonstrated a significant increase in total production for both peptides. Specifically, PS1-70 and G1 treatments resulted in total production increases of 40.64% and 54.13%, respectively (Figure 6A), compared to farm line plants, which are internal control plants treated with commercial fertilizer and defense products. Interestingly, in terms of marketable production, PS1-70 and G1 treatments resulted in remarkable improvements compared to the farm line plants, with increases of 55% and 70%, respectively (Figure 6B).
Across all trials, PS1-70 and G1 demonstrated interesting potential to enhance plant productivity (Supplementary Material Figures S2–S4). In particular, PS1-70 registered increases of 50.4% (total) and 70% (marketable) in Exp.2b (Supplementary Material Figure S3) and increases of 30.4% (total) and 45.7% (marketable) in Exp.3 (Supplementary Material Figure S4). Regarding plants treated with G1 peptide, significant improvements with increases of 69.7% and 54.6% for total and marketable production in exp2b (Supplementary Material Figure S3) and increases of 16.37% (total) and 27.34% (marketable) in exp3 were registered (Supplementary Material Figure S4).
In 2023 trials (Supplementary Material Figure S2), plants treated with PS1-70 and G1 registered significant differences from the untreated plants for both total (+35% and +15% respectively) and marketable production (+46.4% and +14.3%, respectively). Additionally, plants treated with PS1-70 exhibited a slight increase compared to farm line plants of +3.8% and +2.5% for total and marketable production, respectively. No increases were registered for G1 when compared to farm line plants.
Production increases are particularly significant when they directly correlate with higher gross marketable production (GMP) values and higher °Brix levels, indicating that treatments not only enhance yield but also improve fruit quality, underscoring the economic relevance of these treatments. In Table 2, the direct correlation between the increase in product yield and the corresponding GMP values of the field trials conducted in Lagosanto in 2024 (Exp.2a) is reported. Results demonstrate a proportional enhancement in GMP of 27.4% and 45.8% for G1 and PS1-70, respectively, indicating that the application of these peptides not only improves yield parameters (total and marketable production) but also ensures greater economic benefits for commercial farming operations. Additional trials further confirmed this trend, with observed GMP increases of 41% and 69.67% for G1 and P1-70 treated plants in exp.2b and increases of 27.4% and 45.8% for plants treated with G1 and PS1-70, respectively, in exp.3. In 2023 (exp.1) P1-70 registered a higher GMP value of 4.8% (Supplementary Material Table S1).
The °Brix value is a crucial quality parameter in tomato production, as it measures the total soluble solids content (primarily sugars) and provides an indication of fruit ripeness and flavor intensity [20]. Across all experiments, treatments with PS1-70 and G1 consistently enhanced fruit °Brix values compared to internal controls. Detailed results from individual trials are provided in Supplementary Material Table S2. These consistent improvements in sugar content across multiple trials demonstrate the reliable positive effect of peptide treatments on fruit quality parameters, suggesting potential benefits for fruit organoleptic properties and market value.
Furthermore, Figure 5 shows that in 2024, rainfall was distributed uniformly during the whole trial (from transplanting to harvesting) in two locations (Budrio and Lagosanto), ensuring a constant water supply for the entire production cycle of the crop. Conversely, in 2023 in San Giovanni in Persiceto, rainfall was concentrated in the first month between the end of May and mid-June, dropping drastically in the following months (July and August). In addition, during 2023, weather conditions registered high night-time temperatures, while in 2024, temperatures were slightly lower. These trends, despite the crop having an irrigation system, could have affected the crop’s development. It is worth noting that we did not observe large variability among replications of the same thesis in both years and among the Experiments (1, 2a, 2b and 3); thus, the statistical analysis appeared not to be influenced by large variations.

3. Discussion

Climate change, resulting from natural phenomena and human activities [21], can significantly impact soil salinity [22], leading to a reduction in crop yield. Consequently, identification of solutions that mitigate these effects is a priority in modern agriculture [23]. It has been demonstrated that peptides or protein fragments enclosed in larger precursors play an important role in the coordination of plant responses to various biotic and abiotic stresses [12]. These fragments, including peptides and amino acids, can also confer positive effects on the physiological processes of different plant species under abiotic and biotic stresses [24]. Arabidopsis Pep1 and Pep3, found in A. Thaliana, are well-characterized plant peptides included in large precursors. In particular, Arabidopsis Pep1 is composed of 23 amino acids and originates from the cleavage of a 92-amino-acid precursor protein. This peptide enhances plant resistance against root (filamentous fungi) and leaf parasites (hemibiotrophic bacteria and necrotrophic fungi) [25,26,27]. Arabidopsis Pep3 is a 30-amino-acid peptide that derives from a 96-amino-acid precursor; it triggers components of the innate immune system and improves plants’ tolerance to high salinity [28]. Specifically, Pep1 triggers the immune signals [29], while Pep3 is highly induced by salt stress, within minutes to hours [28]. ProSys represents a compelling model currently under investigation in our laboratories. This prohormone has been shown not only to release the hormonal peptide Sys [5], but also, as recently demonstrated, to contain additional biologically active sequences that are repeated within its primary sequence [11]. Notably, some of these sequences have been detected in vivo [11]. ProSys appears to interact with several different proteins underpinning multiple plant stress-related activities [30]. Indeed, its interaction plasticity, favored by its disordered features [31], enables ProSys to cope with plant responses to both biotic and abiotic stresses. Here, we expanded the spectrum of functions performed by three ProSys-derived protein fragments previously identified as biologically active (PS1-70, PS1-120, G1) to their ability to promote resilience against salt stress in tomato plants.
We observed that other than the biostimulant effect on plant shoot fresh weight (Table 1), a single irrigation with EFs markedly reduced salt damage, making plants more tolerant. Indeed, treated plants have shown a significant improvement in root area under salt stress conditions. This result is in line with what Orsini et al. observed in plants overexpressing ProSys, where the authors showed that, in response to salt stress, transgenic plants maintained a higher stomatal conductance compared to the wild type. Furthermore, leaf concentrations of abscisic acid and proline were lower in stressed transgenic plants than in wild-type plants [9]. These results suggest that the former either perceived a less stressful environment or adapted more efficiently to it. In addition, under salt stress, ProSys transgenic plants produced higher biomass. Here, our results suggest that salt tolerance cannot be attributed exclusively to an overproduction of Sys but must be attributed to the ability of other regions of the precursor, such as those tested in the present work. These regions appear to be able to reduce the damages of salt stress, likely by integrating multiple signals. Indeed, it has been demonstrated that stress-related pathways are not necessarily independent, but rather characterized by an intricate crosstalk [32,33]. This complex crosstalk involves various phytohormones that collectively regulate genes crucial for hormone biosynthesis and signaling pathways, allowing plants to develop enhanced tolerance to multiple environmental stresses through the overlapping of defense response pathways [34]. Salt and wounding stress, for example, appear to be interconnected by the oxidative burst involving calcium ions and by the production of JA and Sys [9,35]. The key elements that may mediate this crosstalk are calmodulins (CMs) and calcium-dependent protein kinases (CDPKs) [32,36], which interestingly appear to take part in the ProSys interaction network [33].
Abiotic stress, like salt stress, reduces water uptake, disrupting plant physiological processes and producing ionic and osmotic stresses as well as oxidative damage as a consequence of a plethora of stress-induced ROS. High levels of ROS alter cell structure and degrade proteins and nucleic acids [37]. Thus, reducing stress-induced ROS over-accumulation is important to protect plants under adverse environments. Our results show that EFs increase transcripts associated with antioxidative activity both in the absence and in the presence of salt, suggesting a role in shaping plant oxidative status with a reduction in ROS accumulation. These results correlate with the improved performance of salinized plants, showing an increased value in their shoot and in their stomatal density. It was demonstrated that a salt-tolerant pepper genotype showed a much higher level of transcripts of CAT2, APX2 and other antioxidant genes compared to a susceptible genotype when subjected to salt stress [38], suggesting a correlation between ROS scavengers and plant performance in salt stress conditions. Moreover, increased root biomass is often associated with an enhanced tolerance to salinity and drought stresses, and in this context, an important role is played by HSP90 [39], which is also upregulated following plant treatments with specific EFs. For example, tobacco and tomato plants overexpressing HSP90 were more tolerant to salt stress, and their roots grew faster than the wild types [39,40]. It was proposed that HSP90 plays a vital role in improving the salinity tolerance by enhancing the root biomass and architecture [39]. Although salt stress causes a decrease in stomatal density as a strategy to reduce water loss [41,42], plants treated with PS1-70, PS1-120 and G1 do not show such a reduction (Figure 2). Reduced stomatal density, influenced by various interconnected morpho-physiological and metabolic factors, enhances salinity tolerance and water-use efficiency during salt stress. Nevertheless, it was reported that in tomato, this reduction also leads to decreased photosynthetic efficiency, ultimately resulting in lower plant biomass production [43,44,45]. However, the application of the EFs, both in control and in salinized plants, registered higher stomata density than in controls. Such an increase likely allows tomato plants to restore gas exchange, reducing ROS accumulation [46,47]. It is worth noting that an increased stomatal density is associated with increased salinity tolerance in barley [48].
Salt stress induces not only antioxidants but also the accumulation of proline [49]. Proline plays several roles in plants under stress conditions, such as stabilization of membranes and subcellular structures, acting as an ROS scavenger and as a compatible osmolyte that contributes to the conservation of the osmotic gradient in stressed plants [50,51]. In our experimental conditions, upon salt stress, proline content highly increased in control plants, while a more modest increase was observed in EF-treated plants. This may be the consequence of the redox status of these plants, already ameliorated by the upregulation of CAT2 and APX, as well as due to a priming effect exerted by fragment treatments, similar to that induced by proline treatments.
Biostimulants, which are based on molecules or microorganisms that regulate plant physiology and metabolism, may promote plant growth and resilience against abiotic stress, thus representing a very important tool in contemporary agriculture [52,53,54]. A nice example is represented by BALOX®, a biostimulant of plant origin that was tested on the responses to salinity of Lactuca sativa L. var. longifolia plants exposed to salt concentrations up to 150 mM NaCl; it had a positive effect because it stimulated plant growth and the level of Ca2+ and photosynthetic pigments. In addition, it reduced the content of Na+ and Cl in the presence and the absence of salt [55]. In our study, ProSys-derived peptides increased tomato root biomass by up to 18%, shoot growth by up to 9% under salt stress conditions and marketable yield by 50% in open-field experiments. These results reinforce the potential of these peptides as biostimulant tools in agronomic applications. Such characteristics are imperative in varying environments such as those of climate changes that are presently occurring at the global level. Our field trials revealed a direct and proportional enhancement in gross marketable production following treatments with ProSys peptides. These results underline the efficacy of ProSys derivatives as peptide-based biostimulants in promoting yield improvement and economic profitability under adverse climatic conditions. We may speculate that the high fruit production registered in field trials was due to the resilience induced by EFs. In recent years, southern Italy has registered very high temperatures in mid and late summer, the period in which tomatoes are still growing in fields. Such elevated temperatures, besides being a stress per se, cause a shortage of water and thus an increase in soil salinity, ultimately damaging the exposed plants and reducing crop yields. Considering that such weather conditions are expected to be present every year due to global warming, the commercialization of novel products that can protect crops, at least in part, from the damage caused by the great heat will likely be able to take advantage of new spaces in the market, as occurred for BALOX®. Therefore, once the best formulation process for our EFs is identified, which we are presently working on, with respect to the regulatory rules, their delivery into the market should proceed without major problems.
It is interesting to note that the different seasonal trends of 2023 and 2024 could have affected the effect of peptide’s treatments in different ways, and in fact, in 2023, the production tended to be lower than in 2024; this difference between the productions of the two years could be dictated by the two seasonal trends characterized by different rainfall levels: discontinuous and not high in 2023 and constant in 2024. Furthermore, during 2023, high night-time temperatures combined with irregular rainfall, despite appropriate irrigation management, may have prolonged stress on plants, impacting crop physiology and ultimately fruit development and quality. In fact, in 2023, the production tended to be lower than in 2024. The 2024 season was characterized by more stable and favorable climatic conditions. The rainfall was uniformly distributed throughout the season, and temperatures were slightly lower. These conditions likely maintained a better physiological plant status with a consequent improvement in fruit quality.
In addition to climatic conditions, differences in soil characteristics between the experimental sites may have also contributed to the observed results. In 2023, trials took place in the province of Bologna on a clay–loam soil, which generally offers good water retention [56] but can restrict root aeration under variable humidity caused by rainfall. In 2024, trials were conducted both in the province of Bologna and in the province of Ferrara. In particular, in Ferrara, the soil is predominantly loamy sand, a soil more susceptible to water loss [56], yet under uniform rainfall and well-managed irrigation, it may enhance responsiveness to foliar applications. These pedoclimatic differences, combined with seasonal climatic conditions, likely influenced both the yield and quality of tomato plants.
In the recent past, multiple lines of evidence revealed a prominent role for plant peptides not only in the anti-herbivore and antipathogen responses but also in the modulation of high salinity and drought stress [12]. Indeed, applications of plant peptides prompt plant metabolism through hormone-like effects, which contribute to improving both growth and resistance under salt stress conditions [57]. Different studies have shown that plants treated with plant peptides exhibit higher concentrations of potassium and proline, which are associated with greater tolerance to salt stress. These treatments alleviated the negative impacts of salinity on plant physiology and promoted better growth and yield [58]. Three plant peptides, characterized in Arabidopsis, are known to regulate high salinity and drought stress responses. CLE25, a 12-amino-acid peptide derived from the C-terminal region of the 69-amino-acid CLE25 precursor protein [59], controls stomatal closure under dehydration to prevent water loss by transpiration. Cle25 knockout mutants are more sensitive to dehydration than the wild type. CAPE1, derived from the C-terminus of the 172-amino-acid PROCAPE1, negatively regulates salt tolerance under high salinity [60]. AtPep3, released from a member of the PROPEP gene family, was recently found to enhance the tolerance to high salinity [28]. Both overexpression of AtPROPEP3 and exogenous treatment of synthetic AtPep3 peptide induce salt stress tolerance. Conversely, AtPROPEP3-RNAi lines are hypersensitive under salinity stress, which is recovered by AtPep3 peptide application. The molecular mechanism used by these peptides is largely unknown. In our case, we might speculate that since they are intrinsically disordered, they could possibly establish different and multiple interactions with other proteins, potentially triggering downstream molecular events that lead to metabolic changes associated with stress resilience and growth biostimulation.
This study underscores the potential of peptide-based technologies as innovative agricultural tools to protect crops and enhance their productivity. Such technologies represent an area of increasing and valuable investment for a sustainable farming system.

4. Materials and Methods

4.1. Laboratory Experiments

4.1.1. Plant Material, Growth Conditions and Plant Treatments

Tomato seeds (cv. ‘San Marzano nano’) were subjected to a two-minute surface sterilization with 70% ethanol and washed for 10 min with 2% sodium hypochlorite, followed by at least five rinses with sterile distilled water. The seeds were then germinated in Petri dishes with wet sterile paper for three days in a growth chamber with a temperature of 24 ± 1 °C and a relative humidity (RH) of 60 ± 5%. Plantlets were then moved to a polystyrene tray with barren sterile S-type substrate (FloraGard; Oldenburg, Germany) once their roots emerged. The growth chamber was set to 26 ± 1 °C, 60 ± 5% RH and 18:6 h light/dark photoperiod. For salt stress experiments, after 2 weeks, plants were transplanted into rhizotrons, transparent square plates (245 × 245 × 25mm, Sarstedt AG & Co. KG, Nümbrecht, Germany), filled with barren sterile S-type substrate (FloraGard; Oldenburg, Germany) under the same growth conditions. All the rhizotrons were wrapped around with aluminum foil and located in order to create a 70° angle with the base as reported by [61]. Plants were irrigated with 120 mL of 100 fM PS1-70, PS1-120 and G1 in PBS buffer 0.1 X as previously described [8]. After 24 h, plants were irrigated with 100 mL of 150 mM NaCl. Controls were irrigated with simple water. Saline treatment was repeated every two days for two weeks. Plants were arranged in a completely randomized block design with eight replicates. Leaf samples from control and treated plants were harvested eight days after salt treatment and used for proline quantification and gene expression analysis.

4.1.2. PS1-70, PS1-120, G1 and Production

Expression and purification of PS1-70 and PS1-120 fragments was carried out as previously described [10]. Briefly, two DNA fragments, ps1-70 and ps1-120, were amplified via polymerase chain reaction starting from the ProSys full-length cDNA as template. The resulting inserts were ligated into a pETM11 t vector, and the plasmids were used to transform E. coli BL21(DE3) cells. Large-scale production of PS1-70 and PS1-120 was carried out as previously described [10]. Pellets were disrupted by sonication on ice, and after centrifugation, the supernatant of each ProSys fragment was purified by an ÄKTA FPLC, on a 1 mL HisTrap FF column (GE Healthcare, Milan, Italy), according to the manufacturer’s instructions (GE Healthcare, Milan, Italy). Eluted fragments were dialyzed in 20 mM Tris–HCl, 50 mM NaCl, 100 mM PMSF, 1 mM DTT, pH 8.0, and purified by size-exclusion chromatography (SEC) on a Superdex 75 10/300 HP (GE Healthcare Milan, Italy), in PBS 1X. The purity level of the recombinant fragments was assessed by SDS-PAGE on a 15% gel using Biorad Precision Plus Protein All Blue Standards (10–250 kDa) as molecular mass markers. LC-ESI-MS analysis of the protein, performed as previously described in [62], confirmed their identities. Once prepared, aliquots were stocked at −20 °C before use. Synthetic G1 was obtained by external services.

4.1.3. Proline Quantification

Proline concentration was quantified with a ninhydrin-based colorimetric test on two technical duplicates for each biological replicate, as previously described [63]. Proline concentration was expressed in µmol g−1 fresh weight after comparison with a standard curve.

4.1.4. Molecular Analysis

Tomato leaves harvested from control and salt-irrigated plants, treated or not with PS1-70, PS1-120 and G1, were frozen in liquid nitrogen and stored at −80 °C. RNA extraction, single-stranded cDNA synthesis and real-time RT-PCRs were carried out as previously described [64]. Primers and their main features are described in Supplementary Material Table S3.

4.1.5. Biometric Analysis

Biometric data were collected 15 days after salt treatment to evaluate shoot and root biomass, stomatal density and stomatal area. The plants were cut at the collar and weighed to measure SFW. For root area measurement, one side of the rhizotron was disassembled and photographed. Each image was examined using ImageJ v1.52a (U.S. National Institutes of Health, Bethesda, MD, USA). Stomatal density and area were detected on microscope slides of leaves imprinted with cyanoacrylate [65]. A bright-field microscope (BX60; Olympus Corporation, Tokyo, Japan).) was used to capture 20 photographs through a camera (CAMEDIA C4040,Olympus Corporation, Tokyo, Japan). Stomatal size in terms of length and width (μm) of guard cells was measured on 10 stomata per picture, while stomatal density (number of stomata per mm2) was measured on four images per leaf impression.

4.2. Open-Field Trials

4.2.1. Experimental Setup and Growth Conditions

Field trials were conducted in 2023 (Experiment 1) and in 2024 (Experiments 2 and 3) on commercial farms located in the provinces of Bologna and Ferrara, in the Emilia-Romagna region of northern Italy. Experiment 1 was conducted in San Giovanni in Persiceto (BO) at the commercial farm “Azienda Agricola Guzzetti Fabio” (latitude: 44°39′4.33″ N; longitude: 11°14′12.23″ E). Experiment 2 was carried out in Lagosanto at “Società Agricola Porto Felloni di Salvagnin L. & C. S. S.” (latitude: 44°44′58.80″ N; longitude: 12°9′41.45″ E), and Experiment 3 in Vedrana, Budrio, at Società Agricola Busato (latitude: 44°33′54.99″ N; longitude: 11°33′24.91″ E).
The tomato crop was selected for all experiments, with specific cultivars differing across trials. In Experiment 1, the variety Barrique was cultivated, while Fokker was used in Experiment 2, and UG 1122713 F1 in Experiment 3. These trials were conducted in areas representative of industrial tomato production, integrated within commercial crop systems that also include Zea mays (maize). Weather conditions during the two growing seasons are reported in Figure 5 and in Table 3, Table 4 and Table 5. The conventional till technique was used for soil tillage. Crop water requirements were completely satisfied by localized drip irrigation (200 L/ha) until 7 days before harvesting. All studies were carried out in accordance with the principles of good experimental practices (GEPs) and EPPO guidelines.

4.2.2. Experimental Design and Plant Treatments

Tomato seedlings were transplanted on 23 May 2023 for Experiment 1, on 20 May 2024 for Experiments 2, and on 9 May 2024 for Experiment 3, into 20 m2 plots (width: 4 m, length: 5 m) with 240 plants per thesis. The experimental design followed a randomized complete block (RCB) with four replicates.
In Experiment 1, tomato plants were treated with 100 fM solutions of the experimental fragments G1 and PS1-70 via foliar application using a Honda WJR backpack sprayer. Treatments were applied three times: on 9 June 2023 (15 days post-transplant), 11 July 2023 (44 days post-transplant) and 10 August 2023 (53 days post-transplant). For Experiment 2, plants were treated with 100 fM solutions of G1 and PS1-70 using the same sprayer, testing two timelines of applications: Experiment 2a, 5 June 2024 (15 days post-transplant), 4 July 2024 (30 days after the first application) and 5 August 2024 (60 days after the first application), and 2b, 5 June 2024 (15 days post-transplant), 27 June 2024 (20 days after the first application) and 18 July 2024 (40 days after the first application). The main difference between Experiments 2a and 2b lies in the frequency of treatments: following the initial application, plants were treated every 30 days in 2a and every 20 days in timeline 2b. In Experiment 3, 100 fM solutions of G1 and PS1-70 were applied three times: on 17 June 2024 (3.0 days post-transplant), 4 July 2024 (50 days post-transplant) and 25 July 2024 (70 days post-transplant), using the Honda WJR backpack sprayer. A summary of transplanting and peptide treatment intervals is reported in Table 6.

4.2.3. Plant Harvesting and Quality Analysis

Tomato fruits were harvested on 28 August 2023, 27 August 2024 and 13 August 2024 for Experiments 1, 2 and 3, respectively, and subsequently sorted into two groups: ripe fruits and immature or rotten fruits. Both groups were weighed and counted. The weight (kg) and number of ripe fruits were used to calculate the marketable yield, expressed in tons per hectare (t/ha). The values of GMP were obtained considering a price of 140 EUR/ton, attributable to products with a °Brix level between 4.8 and 5.2.
Two hundred tomato fruits per thesis were harvested at a late stage of ripening (full red color) for °Brix analysis of the 2023 and 2024 trials. Fruits were squeezed, and one to two drops of clear juice were placed on the prism of an ocular refractometer previously calibrated with distilled water with a range of 0 to 32 °Brix, a resolution of 0.2 °Brix and a compensated temperature. Between samples, the prism of the refractometer was washed with distilled water and dried before use. The results obtained were multiplied by the dilution factor (water and pulp) and expressed in °Brix. Detailed values of marketable and total production, GMP and °Brix for each replicate per treatment across all three experiments are provided in Supplementary Material Tables S4–S19.

4.3. Statistical Analysis

Gene expression analysis and biometric measurements were analyzed using the Student’s t-test (p < 0.05) or two-way ANOVA procedure with Tukey’s or Duncan’s post hoc test (p < 0.05). The results of post hoc pairwise comparisons were expressed as a form of compact letter display (CLD). Overlapping letters are nonsignificant (p > 0.05), while separate letter classes indicate p < 0.05 or better. The ANOVA was performed using SPSS (Statistical Package for Social Sciences) v21 software (IBM, Armonk, NY, USA) 6, version 23. Total and marketable production (T/ha) results from open-field trials were analyzed using Levene’s test to verify homogeneity of variances. The Shapiro–Wilk test and a kurtosis test were used to evaluate data normality. Means were compared using the Student–Newman–Keuls (SNK) test with a significance threshold of p ≤ 0.05. The coefficient of variation (CV) was calculated to assess the relative dispersion of the data.
For open-field trials, a single replication is an individual field plot, while a “randomized block” is the random arrangement, within the open-field trial, of the replica plots of each thesis (4 theses for Experiment 1 and 3 theses for the others). Each thesis is made up of 240 plants; consequently, having 4 replications, each plot has 60 plants.

5. Conclusions

The biostimulant activity of EFs in promoting biomass growth, even under salinity conditions, is a very interesting characteristic that highlights the great potential of the novel fragments used in this study in agriculture. Intriguingly, these results were obtained in open-field experiments, which makes the data much more reliable than those obtained only in controlled laboratory conditions. The treatments were shown to positively affect tomato plants in terms of both yield (total and marketable) and quality (°Brix), highlighting the great efficacy of these bio-inspired tools. Thus, their integration into crop management strategies may represent an innovative approach to mitigate the impacts of climate variability on agricultural production in a sustainable way. Notably, these peptides are active at extremely low concentrations (in the femtomolar range), which translates into very low application costs, making them economically attractive for large-scale use. Currently, we are developing and testing suitable formulations to support their future commercialization in the sustainable agriculture market.

6. Patents

The protein fragments (PS1-70 and PS 1-120) and G1 are included in the patent file number WO 2022/024015 A1.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/plants14152411/s1: Figure S1: Figures comparing stomatal patterns under varying salinity stress conditions; Figure S2: Total (A) and marketable (B) production of plants treated with 100 fM of PS1-70 and G1 in San Giovanni in Persiceto, Bologna (Italy), 2023 (Experiment 1); Figure S3: Total (A) and marketable (B) production of plants treated with 100 fM solutions of PS1-70 and G1 in Lagosanto, Ferrara, 2024, in Experiment 2b, in which plants were treated every 20 days; Figure S4: Total (A) and marketable (B) production of plants treated with 100 fM solutions of PS1-70 and G1 in Vedrana (BO), 2024 (Experiment 3), for plants treated every 20 days; Table S1: Gross marketable production (GMP) of plants treated with 100 fM solutions of PS1-70 and G1 across 2023 (Experiment 1 in San Giovanni in Persiceto, Bologna) and 2024 trials (Experiment 2a and 2b in Lagosanto, Ferrara and Experiment 3 in Vedrana, Bologna); Table S2: °Brix of tomato fruits from plants treated with 100 fM solutions of PS1-70 and G1 measures in 2023 (Experiment 1 in San Giovanni in Persiceto, Bologna, Italy) and during 2024 trials (Experiment 2a, 2b, in Lagosanto, Ferrara, and Experiment 3 in Vedrana, Bologna, Italy); Table S3: List of defense genes and specific primers used for expression analysis; Table S4: Detailed values of marketable production for each replicate per treatment of Experiment 1 (San Giovanni in Persiceto, 2023). Letters indicate replicates; Table S5: Detailed values of total production for each replicate per treatment of Experiment 1 (San Giovanni in Persiceto, 2023). Letters indicate replicates; Table S6: Detailed values of gross marketable production for each replicate per treatment of Experiment 1 (San Giovanni in Persiceto, BO. 2023). Letters indicate replicates; Table S7: Detailed values of °Brix for each replicate per treatment of experiment 1 (San Giovanni in Persiceto, 2023). Letters indicate replicates; Table S8: Detailed values of marketable production for each replicate per treatment of Experiment 2a (Lagosanto, 2024). Letters indicate replicates; Table S9: Detailed values of total production for each replicate per treatment of Experiment 2a (Lagosanto, 2024). Letters indicate replicates; Table S10: Detailed values of total gross marketable production for each replicate per treatment of Experiment 2a (Lagosanto, 2024). Letters indicate replicates; Table S11: Detailed values of total °Brix for each replicate per treatment of Experiment 2a (Lagosanto, 2024). Letters indicate replicates; Table S12: Detailed values of marketable production for each replicate per treatment of Experiment 2b (Lagosanto, 2024). Letters indicate replicates; Table S13: Detailed values of total production for each replicate per treatment of Experiment 2b (Lagosanto, 2024). Letters indicate replicates; Table S14: Detailed values of gross marketable production for each replicate per treatment of Experiment 2b (Lagosanto, 2024). Letters indicate replicates; Table S15: Detailed values of total °Brix for each replicate per treatment of Experiment 2b (Lagosanto, 2024). Letters indicate replicates; Table S16: Detailed values of marketable production for each replicate per treatment of Experiment 3 (Vedrana (Budrio), 2024). Letters indicate replicates; Table S17: Detailed values of total production for each replicate per treatment of Experiment 3 (Vedrana (Budrio), 2024). Letters indicate replicates; Table S18: Detailed values of gross marketable production for each replicate per treatment of Experiment 3 (Vedrana (Budrio), 2024). Letters indicate replicates; Table S19: Detailed values of total °Brix for each replicate per treatment of Experiment 3 (Vedrana, Budrio, 2024). Letters indicate replicates.

Author Contributions

Conceptualization, D.M., V.C. (Valerio Cirillo), S.M.M. and R.R.; Investigation, R.M., D.M. and V.C. (Valerio Cirillo); Methodology, A.N., C.C., R.M., D.M., V.C. (Valerio Cirillo), A.M.A. and M.C.C.; Resources, M.B., D.E., E.L. and S.M.M.; Supervision, D.M., V.C. (Valerio Cirillo), S.M.M. and R.R.; Validation, D.M., V.C. (Valerio Cirillo) and A.M.A.; Writing—Original Draft, M.C.C., R.M., V.C. (Valeria Castaldi) and A.M.A.; Writing—Review and Editing, S.M.M. and R.R. All authors have read and agreed to the published version of the manuscript.

Funding

This study was carried out within the Agritech National Research Center and received funding from the European Union Next-GenerationEU (PIANO NAZIONALE DI RIPRESA E RESILIENZA (PNRR)—MISSIONE 4 COMPONENTE 2, INVESTIMENTO 1.4—D.D. n.1032 of 17 June 2022. Project identification code: CN00000022, CUP: D43C22001220006). This manuscript reflects only the authors’ views and opinions; neither the European Union nor the European Commission can be considered responsible for them. We also acknowledge the support of Materias s.r.l.

Data Availability Statement

The original contributions presented in this study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.

Acknowledgments

We would like to thank Materias s.r.l. for the encouragement and interest.

Conflicts of Interest

Author Dr. Claudio Cristiani and Dr. Andrea Negroni were employed by the company Consorzi Agrari D’Italia. Author Dr. Anna Maria Aprile was employed by the company Materias Srl. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
APXAscorbate peroxidase
CAT2Catalase
CDPKsCalcium-dependent protein kinase
CMsCalmodulins
CVCoefficient of variation
EFsExperimental fragments
FWFresh weight
GEPGood experimental practice
GMPGross marketable production
HSP90Heat shock protein
JAJasmonic acid
LRR-RKLeucine-rich repeat receptor kinase
ProSysProsystemin
RMsRepeat motifs
ROSReactive oxygen species
SAStomatal area
SDStomatal density
SFWShoot fresh weight
SysSystemin
VOCsVolatile organic compounds

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Figure 1. Root area of tomato plants treated with PS1-70, PS1-120 and G1. Tomato root area of plants treated with 100 fM EFs in absence and in presence of salt stress. Error bars indicate standard error. Different letters indicate significant differences according to Duncan post hoc test (p < 0.05).
Figure 1. Root area of tomato plants treated with PS1-70, PS1-120 and G1. Tomato root area of plants treated with 100 fM EFs in absence and in presence of salt stress. Error bars indicate standard error. Different letters indicate significant differences according to Duncan post hoc test (p < 0.05).
Plants 14 02411 g001
Figure 2. Stomatal density and area of tomato leaves treated with EFs. Stomatal density (A) and area (B) of tomato leaves treated with 100 fM PS1-70, PS1-120 and G1 in the absence and presence of salt stress. Error bars indicate standard error. A two-way ANOVA, Tukey’s test (p < 0.05) was conducted. Letters indicate statistically significant differences between the experimental groups.
Figure 2. Stomatal density and area of tomato leaves treated with EFs. Stomatal density (A) and area (B) of tomato leaves treated with 100 fM PS1-70, PS1-120 and G1 in the absence and presence of salt stress. Error bars indicate standard error. A two-way ANOVA, Tukey’s test (p < 0.05) was conducted. Letters indicate statistically significant differences between the experimental groups.
Plants 14 02411 g002
Figure 3. Proline content in plants treated with EFs. Proline content in plants treated with 100 fM PS1-70, PS1-120 and G1 in the absence and presence of salt stress. Error bars indicate standard error. A two-way ANOVA and Tukey’s test (p < 0.05) were conducted. Letters indicate statistically significant differences between the experimental groups.
Figure 3. Proline content in plants treated with EFs. Proline content in plants treated with 100 fM PS1-70, PS1-120 and G1 in the absence and presence of salt stress. Error bars indicate standard error. A two-way ANOVA and Tukey’s test (p < 0.05) were conducted. Letters indicate statistically significant differences between the experimental groups.
Plants 14 02411 g003
Figure 4. Gene expression analysis of defense-related genes of tomato plants treated with EFs. Relative expression of CAT2 (A), APX2 (B) and HSP90 (C) by RT-PCR treated with 100 fM PS1-70, PS1-120 and G1 in the absence and presence of salt stress. Error bars indicate standard error. Quantities are relative to the calibrator represented by mock-treated plants. Different letters indicate significant differences according to Tukey’s post hoc test (p < 0.05). CTRL, control plants.
Figure 4. Gene expression analysis of defense-related genes of tomato plants treated with EFs. Relative expression of CAT2 (A), APX2 (B) and HSP90 (C) by RT-PCR treated with 100 fM PS1-70, PS1-120 and G1 in the absence and presence of salt stress. Error bars indicate standard error. Quantities are relative to the calibrator represented by mock-treated plants. Different letters indicate significant differences according to Tukey’s post hoc test (p < 0.05). CTRL, control plants.
Plants 14 02411 g004
Figure 5. Daily temperatures and rain events during 2023 ((A) Experiment 1) and 2024 ((B) Experiment 2a and 2b; (C) Experiment 3) open-field trials. Blue lines indicate rainfall (mm); red lines indicate Tav (annual average ambient temperature, °C).
Figure 5. Daily temperatures and rain events during 2023 ((A) Experiment 1) and 2024 ((B) Experiment 2a and 2b; (C) Experiment 3) open-field trials. Blue lines indicate rainfall (mm); red lines indicate Tav (annual average ambient temperature, °C).
Plants 14 02411 g005
Figure 6. Total and marketable production of tomato plants treated with PS1-70 and G1. Total (A) and marketable (B) production of plants treated with 100 fM solutions of PS1-70 and G1 in open-field trials (Lagosanto, Ferrara 2024, experiment 2a). Error bars indicate standard error. Means were compared using the Student–Newman–Keuls (SNK) test (p ≤ 0.05). Letters indicate different statistical groups.
Figure 6. Total and marketable production of tomato plants treated with PS1-70 and G1. Total (A) and marketable (B) production of plants treated with 100 fM solutions of PS1-70 and G1 in open-field trials (Lagosanto, Ferrara 2024, experiment 2a). Error bars indicate standard error. Means were compared using the Student–Newman–Keuls (SNK) test (p ≤ 0.05). Letters indicate different statistical groups.
Plants 14 02411 g006
Table 1. Shoot fresh weight (SFW) and root area of tomato plants treated with PS1-70, PS1-120 and G1 fragments in the absence (0 mM NaCl) and presence (150 mM NaCl) of salt. Error bars indicate standard error (n = 8). Statistical analysis was performed with two-way ANOVA (* = p < 0.05; *** = p < 0.001; ns = not significant). For statistically significant differences induced by one of the two factors, different letters indicate significant differences according to the Duncan post hoc test (p < 0.05).
Table 1. Shoot fresh weight (SFW) and root area of tomato plants treated with PS1-70, PS1-120 and G1 fragments in the absence (0 mM NaCl) and presence (150 mM NaCl) of salt. Error bars indicate standard error (n = 8). Statistical analysis was performed with two-way ANOVA (* = p < 0.05; *** = p < 0.001; ns = not significant). For statistically significant differences induced by one of the two factors, different letters indicate significant differences according to the Duncan post hoc test (p < 0.05).
Treatment SFW (g)Root Area (cm2)
Salt (S)
0 mM NaCl28.4 a102.1 a
150 mM NaCl21.4 b82.8 b
EFs
Control23.6 b86.7 a
PS1-7025.8 a92.1 a
PS1-12024.3 ab95.8 a
G125.7 a93.5 a
Interaction
S******
EFs*ns
S × EFsns***
Table 2. Gross marketable production (GMP) of plants treated with 100 fM solutions of PS1-70 and G1 in the 2024 trial (Lagosanto, Ferrara). The values are mean ± standard error (n = 4). Means were compared using the Student–Newman–Keuls (SNK) test (p ≤ 0.05). Letters indicate statistically significant differences between the experimental groups.
Table 2. Gross marketable production (GMP) of plants treated with 100 fM solutions of PS1-70 and G1 in the 2024 trial (Lagosanto, Ferrara). The values are mean ± standard error (n = 4). Means were compared using the Student–Newman–Keuls (SNK) test (p ≤ 0.05). Letters indicate statistically significant differences between the experimental groups.
TrialTreatmentsGMP (EUR/ha)
Lagosanto (Ferrara, 2024)Farm line9310.0 d
PS1-7014,396.7 bc
G115,843.3 abc
Table 3. Daily temperatures, relative humidity, rain events, leaf wetness and wind during 2023 open-field trial (Experiment 1) in San Giovanni in Persiceto (BO).
Table 3. Daily temperatures, relative humidity, rain events, leaf wetness and wind during 2023 open-field trial (Experiment 1) in San Giovanni in Persiceto (BO).
Temperature °CRelative Humidity %mm/m2Minutem/s
SMYDateTMxTAvTMnRH MxRH AvRH MnRainfallLeaf WetnessWind
215202323 May 202329.621.112.210077390.05401.1
215202324 May 202327.319.713.310087510.04801.2
215202325 May 202325.819.916.010093680.04801.5
225202326 May 202329.421.212.110078420.05401.4
225202327 May 202327.421.015.810081456.05401.3
225202328 May 202327.820.912.210073410.04201.9
225202329 May 202328.320.512.410076390.06001.3
225202330 May 202327.821.014.210073410.03601.2
225202331 May 202326.820.814.710074420.03001.9
22620231 June 202327.920.612.710075430.04201.8
23620232 June 202329.821.814.210073360.01800.9
23620233 June 202327.819.314.810090527.64200.9
23620234 June 202326.319.313.710093566.48401.5
23620235 June 202321.117.916.71001009921.210201.4
23620236 June 202327.020.516.510090530.06001.1
23620237 June 202326.520.114.410095651.27201.3
23620238 June 202328.621.013.910083390.06001
24620239 June 202329.622.214.710080430.08401.1
246202310 June 202324.821.518.310097764.27200.8
246202311 June 202328.922.315.110082480.05401.5
246202312 June 202328.423.217.410078450.03601.4
246202313 June 202326.220.115.810093570.06602
246202314 June 202326.520.214.610088550.66602.3
246202315 June 202328.121.514.510075390.05401.6
256202316 June 202328.922.014.010075380.04201.4
256202317 June 202330.422.614.010072217.64201.5
256202318 June 202331.123.113.910075380.06001.1
256202319 June 202332.124.617.010069360.0600.8
256202320 June 202332.225.016.810060350.000.9
256202321 June 202333.125.717.910072390.0601
256202322 June 202335.027.420.210074390.01801
266202323 June 202331.124.819.010077510.01201.2
266202324 June 202330.724.415.810070330.04801.6
266202325 June 202330.723.815.310066320.04201.7
266202326 June 202334.025.114.610065280.03601.7
266202327 June 202334.926.517.410071388.44801.8
266202328 June 202326.922.719.910092660.02401.3
266202329 June 202330.224.416.910066330.0602.7
276202330 June 202325.421.518.710089581.23602.8
27720231 July 202328.022.117.410085530.04201.7
27720232 July 202332.625.016.510075410.04201.2
27720233 July 202332.724.218.5100844429.44801.6
27720234 July 202330.323.917.010079441.02401.6
27720235 July 202331.024.417.110079480.09002.6
27720236 July 202326.322.517.510090660.011401
28720237 July 202330.823.815.810075420.09002.1
28720238 July 202332.324.814.910068340.06601.7
28720239 July 202334.427.118.210069360.05402.3
287202310 July 202336.628.620.210071370.04801.1
287202311 July 202336.529.421.310067380.03601.5
287202312 July 202334.828.322.210078500.011401
287202313 July 202330.325.823.010092680.010202
297202314 July 202332.726.821.710082510.06001.5
297202315 July 202334.627.319.510072380.04202.1
297202316 July 202336.828.619.510069330.04201.5
297202317 July 202336.228.719.210064370.01801
297202318 July 202336.828.820.010075450.03600.9
297202319 July 202336.529.322.410079410.03601.8
297202320 July 202333.727.119.510078490.03001.8
307202321 July 202332.925.918.710082420.04801.9
307202322 July 202331.724.920.310092556.06602.3
307202323 July 202333.525.216.610081430.05401.6
307202324 July 202332.824.917.010087460.04201.2
307202325 July 202331.324.920.010079250.0602.2
307202326 July 202330.023.116.610072370.62402.2
307202327 July 202330.522.914.610074340.03001.8
317202328 July 202331.023.315.510072380.01202.4
317202329 July 202333.625.917.010072420.02400.9
317202330 July 202333.227.120.310070430.09601.2
317202331 July 202332.926.219.710079450.09601.5
31820231 August 202333.125.318.610072340.09601.6
31820232 August 202333.725.216.310070390.010801.6
31820233 August 202334.527.119.110064400.010202
32820234 August 202326.523.217.810066390.810801.7
32820235 August 202322.418.416.1100987413.810801.9
32820236 August 202330.422.014.110066200.04202.6
32820237 August 202328.320.413.710064230.04802.5
32820238 August 202330.020.710.710058220.0602.2
32820239 August 202331.022.614.78358280.04201.2
328202310 August 202331.023.715.310073410.05401.6
338202311 August 202331.825.016.710068420.04801.9
338202312 August 202333.125.115.810070390.04801.9
338202313 August 202333.426.518.110071450.04201.9
338202314 August 202334.126.316.510070330.04801.4
338202315 August 202334.226.317.310070380.04201.8
338202316 August 202334.127.018.610070370.04801.3
338202317 August 202333.126.118.910078440.06001.3
348202318 August 202334.226.918.610072410.04201
348202319 August 202335.327.719.310070380.04201.3
348202320 August 202335.027.419.110070380.04201.1
348202321 August 202335.528.120.810065360.02401.3
348202322 August 202336.628.219.310066310.04201.2
348202323 August 202337.928.818.910062260.04201.4
348202324 August 202338.829.218.910059230.03601.3
358202325 August 202338.529.720.69656300.04201.8
358202326 August 202337.227.718.610057270.01801.1
358202327 August 202330.425.220.010069470.02401.2
358202328 August 202328.923.017.610080431.07201.9
358202329 August 202320.017.515.510010010010.812003.5
358202330 August 202325.020.515.610077500.24801.4
358202331 August 202327.920.413.610080440.05401.6
36920231 September 202329.122.014.510074430.01201.3
36920232 September 202330.823.415.910076410.03001.4
36920233 September 202331.624.317.310075390.01801.5
36920234 September 202329.323.817.910071440.06001.6
36920235 September 202326.822.316.18158380.04803.2
36920236 September 202329.221.113.610066400.06002.2
36920237 September 202329.922.115.410069370.06001.1
37920238 September 202330.522.514.710064360.06001.3
37920239 September 202330.822.714.710066320.05401.2
379202310 September 202330.922.614.89964360.04801.1
379202311 September 202331.623.314.210065330.03600.8
379202312 September 202333.024.114.310064290.04201.8
379202313 September 202329.823.217.010069370.03601.5
379202314 September 202329.522.516.210080490.06001.7
389202315 September 202326.821.418.610094618.410201.5
389202316 September 202326.620.715.910099870.67801.4
389202317 September 202328.522.718.410092600.27201.5
389202318 September 202326.322.218.510097770.04801
389202319 September 202329.722.716.210087543.44201.4
389202320 September 202325.220.215.110094730.02401.1
389202321 September 202327.822.017.410084510.44801.5
399202322 September 202325.021.617.210088520.0601.5
399202323 September 202326.419.612.8100753910.24202
399202324 September 202324.017.512.510081430.24801.7
399202325 September 202325.717.710.510082420.04801.9
399202326 September 202326.819.012.410085520.0601
399202327 September 202327.919.813.610082410.03601.3
399202328 September 202328.119.612.410077390.02401.3
409202329 September 202328.419.612.610075370.04201
409202330 September 202328.519.812.110072320.02400.8
S: week. M: month. TMx: maximum daily temperature, °C. TAv: average daily temperature, °C. TMn: minimum daily temperature, °C. RH Mx: maximum daily relative humidity, %. RH Av: average daily relative humidity, %. RH Mn: minimum daily relative humidity, %. Rainfall: daily rainfall, mm/m2. Leaf Wetness: minute daily leaf wetness. Wind: average daily wind, m/s.
Table 4. Daily temperatures, relative humidity, rain events, leaf wetness and wind during 2024 open-field trials (Experiment 2a and 2b) in Lagosanto (FE).
Table 4. Daily temperatures, relative humidity, rain events, leaf wetness and wind during 2024 open-field trials (Experiment 2a and 2b) in Lagosanto (FE).
Temperature °CRelative Humidity %mm/m2Minutem/s
SMYDateTMxTAvTMnRH MxRH AvRH MnRainfallLeaf WetnessWind
18520241 May 202417.814.611.810096010.810751.3
18520242 May 202418.915.211.31008301.06602.4
18520243 May 202419.114.310.91008301.07251.1
18520244 May 202420.814.46.01008100.06300.8
19520245 May 202422.514.86.11007500.04900.9
19520246 May 202422.716.18.0997400.02552
19520247 May 202421.616.612.510088557.06701.7
19520248 May 202423.716.29.310086490.25501.2
19520249 May 202426.419.512.310069680.03002.5
195202410 May 202426.619.411.88760580.002.6
195202411 May 202427.818.58.99463600.001.5
205202412 May 202425.017.89.010076530.04050.9
205202413 May 202424.617.810.310082600.05851.1
205202414 May 202425.918.09.510079530.04601
205202415 May 202426.219.511.810078560.04802.1
205202416 May 202425.119.014.010084560.05501.2
205202417 May 202424.618.410.810077500.06251.8
205202418 May 202427.018.59.710072500.24901.3
215202419 May 202425.017.811.510085560.06701.2
215202420 May 202426.219.213.4100887217.88051.3
215202421 May 202426.119.914.8100834010.07751.2
215202422 May 202425.718.910.810074670.24501.3
215202423 May 202433.819.910.510061351.001.2
215202424 May 202435.222.912.35747330.000.9
215202425 May 202431.521.015.06656440.000.8
225202426 May 202437.724.411.37253400.000.9
225202427 May 202429.622.013.58852380.800.7
225202428 May 202424.623.822.77059400.000.6
225202429 May 202425.624.222.86359500.000.5
225202430 May 202425.924.121.26258510.000.4
225202431 May 202425.124.023.16359500.000.4
22620241 June 202425.424.122.15851400.000.9
23620242 June 202425.224.223.05451430.000.9
23620243 June 202425.624.022.56054490.400.8
23620244 June 202431.325.021.05549402.600.9
23620245 June 202432.622.816.68963412.202
23620246 June 202428.123.015.59674420.001.7
23620247 June 202432.324.918.19671510.002.1
23620248 June 202431.925.118.89872480.002
24620249 June 202431.225.020.410076390.0651.7
246202410 June 202430.123.917.910076426.04951.6
246202411 June 202428.322.716.510068400.21551.4
246202412 June 202429.121.516.6100744945.44751.2
246202413 June 202425.519.015.210082600.25201.1
246202414 June 202425.020.312.910074380.04501.8
246202415 June 202427.621.814.110074470.01402.4
256202416 June 202430.823.616.09059200.001.6
256202417 June 202431.323.214.810067650.001.9
256202418 June 202429.624.217.010077610.05052.2
256202419 June 202434.226.820.310074550.04951.6
256202420 June 202432.326.120.710076540.001.2
256202421 June 202431.125.121.210088550.04501.6
256202422 June 202433.025.117.68962410.001.5
266202423 June 202423.420.416.910088401.23950.7
266202424 June 202427.721.618.010089509.89201
266202425 June 202429.221.818.310091505.87451.1
266202426 June 202429.021.617.510087560.46000.8
266202427 June 202433.724.816.410075470.02951.1
266202428 June 202433.726.319.510078630.01301.8
266202429 June 202431.426.721.010083590.04602.2
276202430 June 202434.127.921.510066400.02251.6
27720241 July 202432.225.018.2100734814.42551.7
27720242 July 202428.923.116.410076400.25752.7
27720243 July 202425.021.216.2100815150.63502.1
27720244 July 202428.721.816.110078576.06101.2
27720245 July 202428.423.215.810077500.04452
27720246 July 202431.625.619.110078520.03652.1
28720247 July 202430.625.820.910070690.01401.7
28720248 July 202432.526.921.410080470.04701.8
28720249 July 202436.228.120.110073580.03551
287202410 July 202437.729.021.010076400.02101
287202411 July 202437.529.522.910071420.001.5
287202412 July 202436.929.421.910068520.0301.4
287202413 July 202435.428.122.410079450.04601.4
297202414 July 202436.027.519.610062500.001.2
297202415 July 202433.627.219.910074 0.04251.8
297202416 July 202435.928.120.410079620.04201.5
297202417 July 202434.828.120.110075450.02601.9
297202418 July 202434.728.220.810079 0.06001.7
297202419 July 202436.829.221.910073510.04151.1
297202420 July 202431.626.220.310079546.03401.7
307202421 July 202431.326.720.210082690.03001.9
307202422 July 202433.225.922.510086380.87051.3
307202423 July 202432.626.821.310079310.24301.5
307202424 July 202433.427.220.610077490.04101.3
307202425 July 202430.326.321.110075570.0652.3
307202426 July 202431.026.520.010070530.002.2
307202427 July 202431.527.021.510079490.02652
317202428 July 202436.128.321.210082550.05601.6
317202429 July 202434.228.022.810079570.02351.3
317202430 July 202431.826.320.410074490.04252
317202431 July 202435.027.320.210076460.04301.7
31820241 August 202434.128.222.210081600.85952.1
31820242 August 202431.426.220.510087430.03101.7
31820243 August 202429.924.221.0100945211.210851.1
32820244 August 202433.026.320.210079520.25151.3
32820245 August 202430.826.421.610080470.02701.9
32820246 August 202432.126.421.010081410.04151.6
32820247 August 202433.826.520.2100834810.65951.8
32820248 August 202433.825.419.010084370.06401.1
32820249 August 202433.927.020.010081430.24901.7
328202410 August 202433.427.921.410076550.05401.6
338202411 August 202436.228.220.810076500.05501.6
338202412 August 202436.628.620.910076480.04801.7
338202413 August 202434.728.721.810079520.04501.8
338202414 August 202435.828.622.710074400.02751.6
338202415 August 202434.326.719.910076650.01850.9
338202416 August 202436.227.921.410074540.0651
338202417 August 202436.626.721.2100795410.03651.1
348202418 August 202432.124.820.410084610.06401.1
348202419 August 202425.921.519.51001005018.814250.8
348202420 August 202429.724.520.910090532.67501.2
348202421 August 202433.626.520.410080480.05351
348202422 August 202430.626.221.310080440.02951.8
348202423 August 202431.826.320.510083430.05101.7
348202424 August 202434.527.421.910084410.06351.7
358202425 August 202435.726.920.010080380.26001.2
358202426 August 202433.826.720.710082450.25451.3
358202427 August 202431.723.220.610094360.04150.5
S: week. M: month. TMx: maximum daily temperature, °C. TAv: average daily temperature, °C. TMn: minimum daily temperature, °C. RH Mx: maximum daily relative humidity, %. RH Av: average daily relative humidity, %. RH Mn: minimum daily relative humidity, %. Rainfall: daily rainfall, mm/m2. Leaf Wetness: minute daily leaf wetness. Wind: average daily wind, m/s.
Table 5. Daily temperatures, relative humidity, rain events, leaf wetness and wind during 2024 open-field trial (Experiment 3) in Vedrana, Budrio (BO).
Table 5. Daily temperatures, relative humidity, rain events, leaf wetness and wind during 2024 open-field trial (Experiment 3) in Vedrana, Budrio (BO).
Temperature °CRelative Humidity %mm/m2Minutem/s
SMYDateTMxTAvTMnRH MxRH AvRH MnRainfallLeaf WetnessWind
18520241 May 202425.417.38.210092700.06601.6
18520242 May 202421.015.910.010079532.84201.3
18520243 May 202419.715.09.610073390.42402.5
18520244 May 202421.814.75.610079530.23001.7
19520245 May 202423.416.812.59665382.001.3
19520246 May 202426.018.411.09767410.01201.3
19520247 May 202422.617.412.910094800.09601.1
19520248 May 202418.014.511.510088558.86001.1
19520249 May 202422.215.911.310081492.01801.3
195202410 May 202424.217.411.310071350.03601.2
195202411 May 202425.017.39.79664360.001.3
205202412 May 202427.518.49.09667350.0601.2
205202413 May 202427.119.311.410079470.03601.8
205202414 May 202425.218.812.2100834812.44201.5
205202415 May 202424.919.114.210095770.08402
205202416 May 202425.120.115.010095780.01202.3
205202417 May 202425.020.115.29961340.0601.6
205202418 May 202425.219.714.210074452.02401.2
215202419 May 202423.019.516.010081410.04201.8
215202420 May 202422.018.515.010094740.09601.5
215202421 May 202424.519.915.3100855417.47201.9
215202422 May 202425.120.616.110075441.23601.8
215202423 May 202427.021.115.110077440.05401.3
215202424 May 202425.020.516.010082511.85401.5
215202425 May 202423.019.516.0100896512.63001.6
225202426 May 202424.019.014.010077441.44201.4
225202427 May 202422.318.815.310078450.03601.4
225202428 May 202424.019.014.010086620.01201.6
225202429 May 202421.018.015.010082510.04801.4
225202430 May 202426.020.214.110078490.04801.2
225202431 May 202426.120.114.010084632.64201.4
22620241 June 202422.216.511.79467318.801.6
23620242 June 202426.919.49.510079490.01801.5
23620243 June 202423.818.213.710076500.01801.7
23620244 June 202425.218.813.79877401.21801.5
23620245 June 202427.120.314.310071360.03001.3
23620246 June 202429.122.014.49769410.001.5
23620247 June 202430.523.215.79267440.001.4
23620248 June 202431.724.717.58761430.001.3
24620249 June 202431.825.318.79473570.001.3
246202410 June 202427.323.119.410069440.43001.2
246202411 June 202428.723.418.67859361.42402.1
246202412 June 202428.122.416.510069480.02401.9
246202413 June 202427.019.814.4100855018.46002
246202414 June 202424.118.613.910069380.03601.5
246202415 June 202426.920.712.09459360.0601.1
256202416 June 202429.823.214.07551350.001.5
256202417 June 202429.722.916.19257280.0601.3
256202418 June 202431.823.615.19762330.0601.5
256202419 June 202432.824.515.810069330.03001.5
256202420 June 202433.425.418.09469460.0601.1
256202421 June 202431.426.520.99775570.001.1
256202422 June 202429.925.921.29059340.001.8
266202423 June 202431.024.217.110089680.08401.9
266202424 June 202421.119.618.010093791.07201.4
266202425 June 202423.619.917.6100896817.06601.8
266202426 June 202424.420.117.110086583.05401.9
266202427 June 202427.721.216.79766390.0601.4
266202428 June 202432.125.116.99467420.001.5
266202429 June 202433.726.919.79974470.01801.5
276202430 June 202432.826.620.09960320.01201.8
27720241 July 202432.326.720.910073440.06601.6
27720242 July 202431.024.017.2100723714.45401.5
27720243 July 202428.722.716.510088610.26602
27720244 July 202423.219.817.6100754111.63602.2
27720245 July 202427.821.616.010071400.04201.3
27720246 July 202429.323.415.910064330.03601.9
28720247 July 202431.725.417.29665410.01801.6
28720248 July 202430.325.219.49873440.01201.5
28720249 July 202431.626.219.99969420.01201.5
287202410 July 202433.527.320.89563330.001.3
287202411 July 202435.628.620.39156300.001.5
287202412 July 202436.729.321.48959290.001.3
287202413 July 202434.328.121.17954310.001.5
297202414 July 202433.927.721.78654320.001.5
297202415 July 202433.526.418.39058280.001.3
297202416 July 202434.527.519.28848290.001.5
297202417 July 202435.728.119.88152240.001.4
297202418 July 202435.428.219.88358340.001.5
297202419 July 202434.928.119.39465370.001.3
297202420 July 202435.428.621.810075460.03001.5
307202421 July 202431.525.519.3100723926.03001.8
307202422 July 202432.927.119.610077530.03601.4
307202423 July 202432.325.421.010071400.63601.6
307202424 July 202432.726.520.29767430.001.2
307202425 July 202432.526.820.69869380.0601.6
307202426 July 202431.925.820.59461320.002
307202427 July 202432.726.417.99266360.001.8
317202428 July 202434.827.419.59160340.001.3
317202429 July 202435.928.920.99971470.0601.8
317202430 July 202432.827.422.49861350.01201.6
317202431 July 202433.127.020.38758340.001.6
31820241 August 202435.927.819.08858250.001.2
31820242 August 202436.228.321.510079441.05401.6
31820243 August 202434.126.820.610084580.04801.4
32820244 August 202430.125.320.710070360.04201.7
32820245 August 202432.926.119.39766330.02401.5
32820246 August 202433.527.119.29469410.02401.8
32820247 August 202433.427.120.610073390.03001.6
32820248 August 202434.825.819.7100723922.84201.7
32820249 August 202432.025.419.210069350.03601.3
328202410 August 202433.927.220.59364390.0601.1
338202411 August 202434.928.121.29360320.0601.2
338202412 August 202435.928.621.38757290.001.1
338202413 August 202437.229.521.48357300.001.8
338202414 August 202437.729.622.68061310.001.6
338202415 August 202436.326.920.592674833.4600.9
338202416 August 202430.525.320.38664420.001
338202417 August 202433.026.021.710068320.03001.1
348202418 August 202433.325.821.410081433.65401.1
348202419 August 202430.023.819.9100978613.27200.8
348202420 August 202423.521.519.6100936417.85401.2
348202421 August 202428.423.820.7100764411.21201
348202422 August 202432.526.119.810082550.04201.8
348202423 August 202431.025.720.210079480.04201.7
348202424 August 202433.826.620.89970370.0601.7
358202425 August 202434.327.219.98457260.001.2
358202426 August 202434.827.219.69270460.001.3
358202427 August 202432.926.220.710087570.05400.5
S: week. M: month. TMx: maximum daily temperature, °C. TAv: average daily temperature, °C. TMn: minimum daily temperature, °C. RH Mx: maximum daily relative humidity, %. RH Av: average daily relative humidity, %. RH Mn: minimum daily relative humidity, %. Rainfall: daily rainfall, mm/m2. Leaf Wetness: minute daily leaf wetness. Wind: average daily wind, m/s.
Table 6. Summary table of transplanting and time intervals between applications.
Table 6. Summary table of transplanting and time intervals between applications.
ExperimentTransplanting1st Application (dpt)2nd Application Interval (d)3rd Application Interval (d)
123 May 202315 3030
2a20 May 202415 30 30
2b20 May 2024152020
39 May 202430 2020
dpt, days post-transplant. d, days.
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Criscuolo, M.C.; Magliulo, R.; Castaldi, V.; Cirillo, V.; Cristiani, C.; Negroni, A.; Aprile, A.M.; Molisso, D.; Buonanno, M.; Esposito, D.; et al. Salt Stress Mitigation and Field-Relevant Biostimulant Activity of Prosystemin Protein Fragments: Novel Tools for Cutting-Edge Solutions in Agriculture. Plants 2025, 14, 2411. https://doi.org/10.3390/plants14152411

AMA Style

Criscuolo MC, Magliulo R, Castaldi V, Cirillo V, Cristiani C, Negroni A, Aprile AM, Molisso D, Buonanno M, Esposito D, et al. Salt Stress Mitigation and Field-Relevant Biostimulant Activity of Prosystemin Protein Fragments: Novel Tools for Cutting-Edge Solutions in Agriculture. Plants. 2025; 14(15):2411. https://doi.org/10.3390/plants14152411

Chicago/Turabian Style

Criscuolo, Martina Chiara, Raffaele Magliulo, Valeria Castaldi, Valerio Cirillo, Claudio Cristiani, Andrea Negroni, Anna Maria Aprile, Donata Molisso, Martina Buonanno, Davide Esposito, and et al. 2025. "Salt Stress Mitigation and Field-Relevant Biostimulant Activity of Prosystemin Protein Fragments: Novel Tools for Cutting-Edge Solutions in Agriculture" Plants 14, no. 15: 2411. https://doi.org/10.3390/plants14152411

APA Style

Criscuolo, M. C., Magliulo, R., Castaldi, V., Cirillo, V., Cristiani, C., Negroni, A., Aprile, A. M., Molisso, D., Buonanno, M., Esposito, D., Langella, E., Monti, S. M., & Rao, R. (2025). Salt Stress Mitigation and Field-Relevant Biostimulant Activity of Prosystemin Protein Fragments: Novel Tools for Cutting-Edge Solutions in Agriculture. Plants, 14(15), 2411. https://doi.org/10.3390/plants14152411

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