Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Plant Sci., 25 November 2025

Sec. Plant Abiotic Stress

Volume 16 - 2025 | https://doi.org/10.3389/fpls.2025.1688246

This article is part of the Research TopicEnhancing Plant Resilience and Productivity Through Biostimulants and Advanced Biotechnological ApproachesView all 8 articles

Foliar application of Halocnemum strobilaceum improves Chenopodium quinoa growth and physiological traits for saline agricultural residence

Ghalia S. Aljeddani&#x;Ghalia S. Aljeddani1†Amal M. Fakhry*&#x;Amal M. Fakhry2*†Ameina S. Almoshadak&#x;Ameina S. Almoshadak3†Soliman M. Toto*&#x;Soliman M. Toto2*†
  • 1Department of Environmental Sciences, College of Science, University of Jeddah, Jeddah, Saudi Arabia
  • 2Department of Botany and Microbiology, Faculty of Science, Alexandria University, Alexandria, Egypt
  • 3Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia

Salinity is a major abiotic stress limiting crop productivity, particularly in arid and semi-arid regions. This study assessed the effectiveness of Halocnemum strobilaceum extract (HE) as a foliar biostimulant to improve growth, yield, and physiological performance of Chenopodium quinoa (quinoa) under NaCl-induced salinity stress (0–150 mM). Elevated salinity significantly reduced root length (- 17.4%), leaf area (- 44.3%), and seed weight (- 26.4%). HE application mitigated these effects, enhancing leaf area (+8.6%) and the weight of 1000 seeds (+33.9%) under moderate to high salinity. Physiological analysis revealed that HE increased photosynthetic efficiency (Fv/Fo) with improvements of 44.3% at 100 mM and 12.4% at 150 mM NaCl., reduced oxidative damage by lowering H2O2 (up to −32.7%) and malondialdehyde (−39.2%) levels, and increased protein (+25.4%) and lipid content (+24.2% under 0 and by 16.5% under 50 mM NaCl). SDS-PAGE revealed salinity-induced changes in quinoa seed proteins, with loss of specific bands and appearance of two novel bands (43, 30 kDa) in the protein profile of HE-treated salinized quinoa plants under 150 mM NaCl. HE enhances salinity stress tolerance by promoting osmotic adjustment, maintaining membrane integrity, and enhancing antioxidant defenses. The SDS-PAGE results suggest de novo synthesis of stress-related proteins, highlighting HE’s role in modulating quinoa’s proteomic response under high salinity.

1 Introduction

Salinity is one of the major environmental constraints that has negative effects on plant growth and development. Globally, approximately 800 million hectares of the Earth’s land are salt-affected, accounting for around 6% of the total land area, and this is expected to increase in the near future (Abdel Latef et al., 2020; Ruiz-Lozano et al., 2012). The consequences of soil salinity as a major environmental problem are evident in arid and semi-arid regions worldwide (Ahmad et al., 2015; Liu et al., 2016; Osman et al., 2021). Plants grown in salty environments tend to accumulate high levels of salt, which cause disturbances within the physiological and biochemical parameters, leading to ion toxicity, reduced photosynthesis, free radicals’ accumulation, instability of membranes, and a variety of metabolic disorders (Atzori et al., 2017; Hanin et al., 2016; Osman et al., 2021). The damage triggered by salinity is influenced by many factors, of which salt concentration, crop sensitivity, and management control tools are the most important (Carillo et al., 2019; IUCN Red List categories and criteria: Version 3.1 (2nd ed.). Gland, Switzerland, and Cambridge, UK: IUCN; Rouphael et al., 2012). The adaptive strategy of salt-tolerant plants in response to salinity stress takes place by different mechanisms, including osmoregulation, antioxidant defense system, and toxic ion (Abdel Latef et al., 2020). Therefore, studying plant mechanisms under salinity stress is essential to determine whether plants can perform physiological and biochemical processes to cope with salinity stress. Furthermore, the use of sustainable agricultural tools to enhance plant growth and productivity under salt stress can ensure the establishment of high-quality crops under anticipated climate change. It is important to identify environmentally safe and sustainable approaches to mitigate the harmful effects of salinity on plants. One of the strategies to mitigate salt stress is the use of natural plant extracts instead of chemical solutions, for limiting soil, water, and environmental pollution. Natural plant extracts are effective in regulating metabolism, thereby promoting plant growth and yield.

Halophytes distributed along the Red Sea and the Mediterranean Sea coastal lands could be used as a valuable source of bio-stimulants for mitigating salinity stress (Osman et al., 2021). Among them, Halocnemum strobilaceum (Pall.) M. Bieb is of particular interest due to its remarkable salt tolerance and adaptive mechanisms that allow it to survive and reproduce in highly saline environments. This small succulent shrub belonging to the family Amaranthaceae is capable of germinating at salinity levels up to 0.5 M NaCl, (Qu et al., 2008) reflecting its efficient osmoprotective and ion-regulation systems. Furthermore, H. strobilaceum is known to possess strong antioxidant potential, with its ethyl acetate extract and flavonoid components exhibiting high radical-scavenging activity comparable to that of standard antioxidants such as Trolox (Radwan and Shams, 2007). The plant’s volatile oil is also rich in hydrocarbons and oxygenated compounds, suggesting potential bioactivity. Owing to these characteristics, H. strobilaceum represents a promising candidate for developing eco-friendly bio-stimulants aimed at enhancing the resilience of salt-sensitive crops like quinoa.

Quinoa (Chenopodium quinoa Willd.) is one of the most important economic plants, belonging to the Amaranthaceae family. Its native range is Ecuador to northwestern Argentina, and it is introduced to many countries across the globe. Quinoa grains are highly healthful due to their high protein content and numerous vitamins and minerals. It is also used as a medicinal plant, treating some medical disorders. Quinoa’s ability to produce high-protein grains under ecologically extreme conditions makes it important for the variations of future agricultural systems, especially in saline areas of arid lands (Bhargava et al., 2006). Therefore, the main aim of our study is to evaluate the potential cultivation of quinoa plants in saline soils, and to assess the ameliorative impact of the extract of H. strobilaceum plant as a bio-stimulant for salinity stress mitigation on quinoa plants by estimating growth traits, physiological attributes, some enzymatic activities, and protein patterns in salinized quinoa plants. To the best of our knowledge, no study has evaluated the foliar application of H. strobilaceum extract on quinoa under salt stress. The present study is innovative in exploring the potential of a naturally salt-tolerant halophyte as a sustainable source of bioactive compounds for enhancing salinity tolerance in quinoa, linking native halophyte resources with the improvement of stress resilience in cultivated crops.

2 Materials and methods

2.1 Halocnemum strobilaceum collection and extract preparation

The halophyte plant material was collected in September 2024 from its natural habitat at Ras El-Hekma shore, Mediterranean Coast, Egypt, 31.225543°N, 27.858790°E. Plants were identified by Amal M. Fakhry, Professor of Biodiversity, Department of Botany and Microbiology, Faculty of Science, Alexandria University. Voucher specimens were deposited in the Herbarium of Alexandria University (ALEX) at the Faculty of Science, deposition numbers ALEX 4123. The samples were air-dried and ground to a coarse powder. The powder was then added to distilled water in a weight-to-volume ratio of 1:20 (W/V) and placed in a water bath at 85 °C for 20 minutes. The fresh extracts were then filtered through double-layered cheesecloth and allowed to cool to room temperature (Salma et al., 2014). The resulting supernatant was taken as 100% H. strobilaceum water extract and diluted to 50% for usage as foliar spraying (Sofowora, 1982).

2.2 Plant materials, growth conditions, and treatments

Seeds of quinoa (Miser 1) were obtained from the Faculty of Agriculture, Alexandria University, Egypt. Homogenous seeds of the quinoa plant were sown in pots in a greenhouse of the Botany and Microbiology Department, Faculty of Science, Alexandria University, Alexandria, Egypt, during the winter season of 2024. The greenhouse conditions included average daytime temperatures of 20–25 °C, nighttime temperatures of 15–18 °C, relative humidity between 55–65%, and a natural photoperiod of approximately 10–11 hours of daylight. To prevent contamination, seeds were sterilized for two minutes in a 1% sodium hypochlorite solution while being shaken constantly. Ten seeds of quinoa were cultivated in plastic pots (30 cm diameter) filled with 7 kg of sandy soil. The experiment was conducted using a two-factor factorial design arranged in a completely randomized design (CRD) with five replicates, where the two factors were salinity levels (0, 25, 50, 75, 100, and 150 mM NaCl) and foliar spray treatments (distilled water and H. strobilaceum extract), resulting in a total of 60 pots. Fourteen days after germination, seedlings were thinned to three per pot, then the pots were irrigated with a constant concentration of salt (0, 25, 50, 75, 100, and 150 mM NaCl). The developed plants of both control and NaCl-treated pots were sprayed with H. strobilaceum extract after 14, 21, and 28 days of treatment with NaCl, while the untreated control plants were sprayed with distilled water only. H. strobilaceum extract and NaCl concentrations were selected based on our preliminary experiments. Plant samples were collected after 8 weeks of sowing to analyze the following criteria.

2.3 Determination of plant growth parameters

The shoot height (cm), number of leaves, leaf area (cm2), root length, and dry weight of shoot and root, and seed yield were used as growth parameters. Randomly selected plants from each treatment were used to estimate plant growth parameters at the end of the experiment. The shoot height and root length of quinoa plants were manually measured using a measuring scale. Dry weights for shoot and root were measured after drying samples of fresh weights in the oven at 60 °C until constant weight. The image-processing program ImageJ ver. 1.53t was used to calculate the leaf area in cm2 (Martin et al., 2020; Schroeder et al., 2021). Additionally, seed yield weight was also assessed after complete growth and plant drying.

2.4 Determination of photosynthetic pigment content

Chlorophyll fluorescence was measured in fresh leaves using an OS-30P pulse-modulated chlorophyll fluorimeter (Opti-Sciences, Hudson, USA), following the method outlined by Van Kooten and Snel (1990). The maximum quantum efficiency ratio of PSII (Fv/Fm) was determined using an OS-30P pulse-modulated chlorophyll fluorimeter (Opti-Sciences, Hudson, USA).

2.5 Determination of osmolyte content

Soluble sugars from dry, powdered quinoa leaves were extracted using a borate buffer (pH 8.5). Following the method of DuBois et al. (1956). Sugar concentration was determined calorimetrically by mixing 0.1 ml of the borate extract with 3 ml of concentrated H2SO4 and 1 ml of 5% phenol. The mixture was incubated at 60 °C for 20 minutes, then cooled, and the absorbance was measured at 490 nm. A glucose standard curve was used to calculate the total soluble sugar content (mg/g dry matter).

Total protein content was determined following the method described by Pomory (2008). The working reagent was prepared by mixing 1% CuSO4·5H2O, 2% sodium potassium tartrate, and 2% Na2CO3 in a 1:1:100 ratio. A 0.1 mL aliquot of the extract was added to 3 mL of the working solution, briefly vortexed, and left to stand for 10 minutes. Then, 0.1 mL of 1 N Folin-Ciocalteu reagent was added, and the mixture was vortexed again. After 30 minutes, the absorbance was measured at 750 nm. Protein content was expressed as milligrams of bovine serum albumin (BSA) equivalents per gram of dry material (mg BSA/g DM).

Amino acid content was determined using the ninhydrin assay method described by Lee and Takahashi (1966), with glycine as the standard. For extraction, 0.1 g of finely powdered leaf tissue was mixed with 10 mL of 95% ethanol, and the resulting supernatant was used for analysis. A 0.1 mL aliquot of the plant extract or glycine standard was combined with 1.9 mL of a ninhydrin–citrate buffer–glycerol reagent, consisting of 0.5 mL of 1% ninhydrin in 0.5 M citrate buffer (pH 5.5), 1.2 mL of 55% (v/v) glycerol solution, and 0.2 mL of 0.5 M citrate buffer. The mixture was shaken and heated in a water bath at a boiling temperature for 12 minutes, then cooled. After mixing thoroughly, the absorbance was measured at 570 nm. Amino acid content was expressed as mg/g dry matter (DM), based on a glycine calibration curve.

Proline content was determined following the method of Bates et al. (1973). A 0.1 g sample of finely dried tissue was homogenized in 5 mL of 3% (w/v) aqueous sulfosalicylic acid, and the homogenate was centrifuged to remove residues. One milliliter of the supernatant was reacted with 2 mL of acid ninhydrin reagent—prepared by dissolving 1.25 g of ninhydrin in 30 mL of glacial acetic acid and 20 mL of 6 M phosphoric acid—and 2 mL of acetic acid. The mixture was incubated at 100 °C for 1 hour, and the reaction was then terminated by placing the tubes in an ice bath. The resulting chromophore was extracted with 4 mL of toluene, brought to room temperature, and its absorbance was measured at 520 nm. Proline concentration was calculated as mg/g dry matter (DM) using a standard curve prepared with proline.

2.6 Determination of ascorbic acid and total phenol content

Ascorbic acid, a non-enzymatic antioxidant, was quantified following the method of Oser and Hawk (1965). A 0.1 g sample of leaf tissue was homogenized in 5 mL of 5% (w/v) sulfosalicylic acid and centrifuged at 10,000 rpm for 10 minutes. The reaction mixture for ascorbic acid determination included 2 mL of 2% sodium molybdate, 2 mL of 0.15 N H2SO4, 1 mL of 1.5 mM Na2HPO4, and 1 mL of the tissue extract. The mixture was incubated in a water bath at 60 °C for 40 minutes, then cooled and centrifuged at 3,000 rpm for 10 minutes. Absorbance was recorded at 660 nm. Ascorbic acid content was expressed as mg/g dry matter (DM), calculated using a standard curve prepared with ascorbic acid.

Total phenolic content was quantitatively estimated using the method of Jindal and Singh (1975). A 0.1 g sample of dried tissue was extracted three times with 85% ethanol, and the resulting clear supernatants were pooled and adjusted to a final volume of 10 mL. One milliliter of this extract was mixed with 0.1 mL of Folin’s reagent and 1 mL of 20% Na2CO3, then diluted to 5 mL with distilled water. After 30 minutes, the absorbance was measured at 650 nm. Total phenolic content was calculated as mg/g dry matter (DM) using a gallic acid standard curve prepared using the same procedure.

2.7 Determination of hydrogen peroxide and malondialdehyde content

Hydrogen peroxide (H2O2) content in quinoa plants was measured following the method of Velikova et al. (2000). A 0.1 g sample of leaf tissue was homogenized in 5 mL of 0.1% trichloroacetic acid (TCA) and centrifuged at 12,000 rpm for 15 minutes. Subsequently, 0.5 mL of the supernatant was mixed with 0.5 mL of 10 mM potassium phosphate buffer (pH 7.0) and 1 mL of 1 M potassium iodide. The absorbance of the reaction mixture was recorded at 390 nm. H2O2 content was calculated using an extinction coefficient of 0.28 μM-1 cm-1 and expressed as μM per gram fresh matter (μM/g FM).

Lipid peroxidation in quinoa leaves was assessed by measuring the concentration of malondialdehyde (MDA), a byproduct of the peroxidation of unsaturated fatty acids (e.g., linolenic acid, 18:3), using the method of Heath and Packer (1968). A 0.5 g sample of fresh leaves was homogenized in 10 mL of 5% (w/v) trichloroacetic acid (TCA), and the mixture was centrifuged at 4,000 rpm for 15 minutes. Two milliliters of the resulting supernatant were combined with 2 mL of 0.67% (w/v) thiobarbituric acid (TBA) solution. The mixture was incubated in a boiling water bath at 100 °C for 20 minutes, then rapidly cooled. Absorbance was measured at 532 nm and corrected for nonspecific turbidity at 600 nm. MDA concentration was calculated using an extinction coefficient of 155 mM-1 cm-1 and expressed as micromoles per gram of fresh matter (μM/g FM).

2.8 Determination of mineral content

Wet digestion of dry, powdered leaf samples was performed using a mixture of 70% HNO3 and 30% H2O2 in a 4:2 (v/v) ratio. The concentrations of potassium (K), calcium (Ca), magnesium (Mg), and sodium (Na) in the digested samples were determined using an inductively coupled plasma optical emission spectrometer (ICP-OES) (Polyscan 61 E, Thermo Jarrell-Ash Corp., Franklin, MA, USA). Phosphorus (P) content was quantified colorimetrically using the molybdenum blue method with monopotassium phosphate as the standard. Nitrogen (N) was determined using the Rochelle reagent and ammonium chloride as a standard, following the procedure described by Allen et al. (1974).

2.9 Total lipid content

Lipids were extracted from 10 grams of ground quinoa seeds using n-hexane in a Soxhlet apparatus for 6 hours, following the procedure outlined by the AOCS (1998). The lipid content was calculated and expressed as milligrams per gram of dry matter (mg/g DM) for each sample.

2.10 SDS-PGE protein profile

Quinoa flour samples were defatted using hexane in a 1:3 (w/v) ratio for 24 hours at room temperature. Total proteins were extracted from seeds. Seed protein profiles were analyzed by SDS-PAGE (slab gel type) on a 10% polyacrylamide gel, following the method of Laemmli (1970). After electrophoresis, the gel was photographed, and protein bands were scored based on their presence (1) or absence (0). The molecular weights of the protein bands were estimated using Gel Analyzer software version 23.1.

2.11 Statistical analysis

The statistical analyses were conducted using IBM SPSS Statistics 27.0 (Crop, 2020). All results are expressed as mean ± standard deviation (SD) based on five replicates. The data were tested for compliance with ANOVA assumptions. The Shapiro–Wilk test was used to assess data normality, and Levene’s test was applied to verify the homogeneity of variances. The results confirmed that the data met the required assumptions for ANOVA analysis. A two-way analysis of variance (ANOVA) was then performed to assess the overall significance of treatment effects. Post-hoc tests were conducted to determine which specific treatment means differed; these are statistical procedures used after an initial analysis to determine which specific group differences are significant. They are conducted when the initial analysis indicates an overall significant effect but doesn’t specify which particular groups differ. Bonferroni-corrected t-tests were also applied. A Bonferroni-adjusted significance threshold of α = 0.0083 was used, corresponding to six pairwise comparisons.

3 Results

3.1 Impact of halophyte extract on morphological and yield traits of quinoa under salt stress

To assess the effectiveness of Halocnemum strobilaceum extract (HE) in alleviating the detrimental effects of salinity stress on quinoa growth, we evaluated several growth-related parameters, including shoot and root lengths, dry weights of shoots and roots, number of leaves, leaf area, and seed yield. These measurements were conducted under both non-stressed and salt-stressed conditions, with and without foliar application of H. strobilaceum extract (Figure 1). The data revealed that increasing salinity was generally associated with a reduction in most growth and yield traits, indicating that salinity stress had a substantial negative impact on vegetative growth components. Notably, Plant extract helped maintain higher shoot and root length at moderate to high NaCl (75-100–150 mM). It is also notable that salt stress led to a reduction in both shoot and root weights across all treatments. However, under the foliar spray treatments, a marked increase in shoot weight was observed at 50 mM NaCl, while root weight showed a considerable increase at 150 mM NaCl. Results also revealed that plant extract is especially effective at maintaining leaf number under high (100 mM) salt stress, while at 25 mM NaCl, it maintained a much larger leaf area as compared to the control. The plant extract was most effective at moderate salinity levels (particularly at 50 mM NaCl), where it helped sustain or even enhance seed weight compared to both low (0–25 mM) and high (150 mM) salinity conditions. However, for seed yield per individual plant, the extract was most beneficial under both 100 mM and 50 mM salinity levels.

Figure 1
Eight bar charts show plant growth metrics under different NaCl concentrations (0-150 mM) comparing spray treatment and plant extract. Metrics include shoot and root length, shoot and root weight, seed yield weight, number of leaves, leaf area, and 1000-seed weight. Each chart presents mean values and uses alphabetical labels for significance.

Figure 1. Effect of salinity and foliar spray treatment on the studied plant growth and yield traits across varying NaCl concentrations.

The statistical analysis revealed significant differences among treatments in response to salinity stress and foliar application of the halophyte extract. Traits such as shoot and root length and shoot and root weight showed no significant variation between plant extract and distilled water treatments. However, yield attributes (1000-seed weight, leaf area, and number of leaves) were significantly (p≤ < 0.05) enhanced under extract treatment at higher salinity levels, while distilled water-treated plants showed considerable declines, reflected by separation into distinct significance groups.

We performed a two-way ANOVA with interaction effects on the row data of our treatments. The complete results of ANOVA for the eight variables of the quinoa plant were presented in Table 1. The results revealed that leaf area was significantly (<0.05) affected by NaCl concentration and by the interaction between NaCl and foliar spray treatment. The maximum reduction (-44.3%) in leaf area was noticed at 50 mM NaCl, followed by 25 mM NaCl (-36.8%) and 150 mM NaCl (-36.6%). Besides, the combination of NaCl concentration and spray treatment significantly affected leaf number, even though neither factor alone did. It is also notable that both NaCl concentration and spray treatment have a highly significant (<0.001) impact on the weight of seeds. Moreover, a significant interaction (<0.001) between the two factors indicates that the effect of the spray treatment varies depending on the level of salinity. Results revealed that salinity significantly reduces the seed weight, especially under 100 mM NaCl, resulting in a reduction of -19.4% in the weight of 1000 seeds and a decrease by -26.4% in the weight of individual seeds, as compared to the control. Foliar spray of HE at 50 mM NaCl resulted in a +33.9% increase in the weight of 1000 seeds and a +20.5% rise in the weight of individual seeds, as compared to stressed plants under the same salinity level (Figure 1).

Table 1
www.frontiersin.org

Table 1. ANOVA probability (p) values for the effects of Halocnemum strobilaceum extract (HE) spray treatment, salinity level, and their interaction on the growth and yield traits of quinoa plants (Values ≤ 0.05 indicate significant differences).

3.2 Impact of salt stress on physiological and biochemical parameters of quinoa plant

Data in Table 2 showed the main strategies that the quinoa plant uses to handle salt stress. The metabolic peaks were as follows: sugars: 25 mM (49.556), proteins: 75 mM (56.698), proline: 100 mM (13.736), and amino acids: 100 mM (73.166). The oxidative stress markers revealed that H2O2: highest at 150 mM (109.480), and MDA: highest at 25 mM (95.015). For ion homeostasis, Na+ influx: 50 mM (0.130), K+ depletion: 50 mM (5.072), and Ca²+ accumulation: 100 mM (0.325). However, photosynthetic efficiency: Fv/Fm: is highest at 150 mM (0.7547), and Fv/Fo: is highest at 100 mM (3.1179). It is also noted that recovery occurred at high salinity (150 mM): improved lipids (4.485), Fv/Fm (0.7547), and Fv/Fo (3.0864), and partial restoration of sugars (39.104) and proteins (55.426).

Table 2
www.frontiersin.org

Table 2. Means and standard deviations of the studied variables of the Chenopodium quinoa plant under different treatments.

More specifically, results showed that quinoa responses to salinity are concentration-dependent and non-linear (Table 2). This suggests salt concentration critically influences sugar dynamics, with 25 mM being a potential optimum for maximizing sugar levels, which drop sharply at 75–100 mM, and partially recover at 150 mM. The protein peak was at 75 mM, suppressed at 100 mM. and a partial restoration is noticed at 150 mM. On the other hand, phenols showed a salt concentration-dependent decline, as they decreased steadily from 25 mM to 150 mM. Massive proline accumulation at 100 mM NaCl confirms its function as a key osmolyte under severe salt stress, but our data showed a sharp decline from 100 mM (13.74) to 150 mM (9.48). Effective reactive oxygen species (ROS) detoxification was noticed at 25 mM and 75 mM, showing the lowest H2O2 (87.22 and 77.47, respectively). This coincides with metabolic shifts: at 25 mM, peak phenols and sugars, and at 75 mM, peak proteins. while salinity of 150 mM represents a critical threshold for cellular damage, showing the highest H2O2 value (109.48) in our experiment. Notable progressive accumulation of amino acids with increasing salinity levels was detected, while at 150 mM, the concentration of amino acids dropped from 73.17 to 49.23. The data reveal 75 mM NaCl as the optimal concentration for ascorbate-mediated antioxidant defense (30.029), while 100 mM represents a critical threshold for antioxidant system failure, where ascorbate decreased to its minimal value (28.852). Malondialdehyde (MDA) is considered a marker of oxidative damage to lipids. Data of lipid peroxidation under salt stress in Table 2 showed that minimal damage was at 75 mM NaCl (61.92), with -1.5% vs control. The 75 mM NaCl concentration uniquely combines the lowest oxidative damage (MDA) with peak metabolic performance (proteins, ascorbate), making it the optimal stress-adaptation zone. A comprehensive analysis of mineral nutrient responses to salt stress in our experiment showed a classic salt stress response at 50 mM NaCl, where Na+ influx (0.13 vs 0.085 control) coincides with K+ depletion (5.07 vs 6.14 control), parallel to Ca²+ suppression (0.235). On the other hand, the K+/Na+ Ratio (Salinity Tolerance Indicator) collapses at 50 mM (39.02 vs 72.24 control) with a drop of -46%. Recovery at 150 mM (123.13) via aggressive Na+ exclusion despite K+ depletion. Ca²+/Na+ Ratio (Membrane Protection Marker) had its peak at 100xmM (3.49), coinciding with maximal Ca²+ accumulation (0.325) and salt overly sensitive (SOS) pathway activation, which is a major signaling pathway in plants that helps them tolerate salt stress. All salt treatments reduce lipids by 10-32% vs control (Table 2). The maximal lipid reduction was noticed at 75 mM NaCl (-31.9%), coinciding with the lowest sugars (27.58), and oxidative stress (MDA: 61.92). Partial recovery was notable at high salinity:150 mM NaCl, which showed the highest lipid content (4.485) among salt-treated groups. This, in turn, matches a recovery in sugars (39.10) and proteins (55.43). Lower variability (SD = 0.094) suggests a consistent response. Chlorophyll fluorescence parameters under salt stress revealed that 50 mM NaCl is the most disruptive, showing the lowest Fv/Fm (0.7067) and Fv/Fo (2.4043), while 150 mM NaCl showed unexpected resilience, attaining the highest Fv/Fm (0.7547). PSII vitality (Fv/Fo) attained the peak performance at 100 mM (3.1179) and 150 mM (3.0864). This analysis identifies 50 mM NaCl as the critical photoinhibition threshold and 100–150 mM as the zone of metabolic compensation where improved PSII vitality (VR) offsets ROS accumulation.

3.3 Impact of halophyte extract on physiological and biochemical parameters of quinoa under salt stress

The foliar application of H. strobilaceum extract (HE) demonstrated significant modulatory effects on biochemical and physiological parameters compared to the distilled water spray (DW). Statistical validation of H. strobilaceum extract’s salinity mitigation effects was carried out using two-way ANOVA with interaction effects, followed by Bonferroni-corrected t-tests on the row data of our treatments. The complete results of ANOVA for all 20 variables were presented in Table 3. The results revealed that 15 out of 20 variables show salinity-dependent responses to H. strobilaceum extract.

Table 3
www.frontiersin.org

Table 3. Interaction effect of Halocnemum strobilaceum extract (HE) spray and salinity on measured variables (Two-Way ANOVA).

The ANOVA results indicated the overall significant difference among our treatments. To determine which treatment means differed, post-hoc comparisons were performed. The mitigation effects of H. strobilaceum extract under critical salinity levels were further evaluated using Bonferroni-corrected t-tests. Variables showing significant interactions are summarized in Table 4, applying a Bonferroni-adjusted significance threshold of α = 0.0083 for six comparisons. Mitigation effect size was calculated as: Mitigation (%) = (1 - (Mean_HE/Mean_DW)) * 100 and Improvement (%) = ((Mean_HE - Mean_DW)/Mean_DW) * 100.

Table 4
www.frontiersin.org

Table 4. Halocnemum strobilaceum extract’s effects at critical salinity levels (post-Hoc t-Tests) HE, H. strobilaceum extract spray; DW, Distilled water spray. (p-values ≤ 0.05 indicate significant differences).

The results presented in Table 4 revealed that foliar application of H. strobilaceum extract (HE) significantly enhanced the photosynthetic efficiency (Fv/o) of quinoa plants, with improvements of 44.3% at 100 mM and 12.4% at 150 mM NaCl. This enhancement was accompanied by a marked reduction in oxidative stress, as evidenced by significant decreases in hydrogen peroxide (H2O2) levels at 75 mM (32.7%) and 150 mM (26.7%) (p < 0.001). Furthermore, lipid peroxidation, indicated by malondialdehyde (MDA) content, was significantly mitigated at 25 mM (50.3%) and 100 mM (39.2%), confirming the extract’s protective effect against oxidative damage. This coincided with a significant increase in protein (25.4%) at 100mM NaCl (p < 0.001). Notably, seed lipid content showed an increase of 24.2–16.5% under 0 mM NaCl and 50 mM treatments, respectively. Conversely, phenols, ascorbate, K, Mg, and Fo showed no consistent response to foliar application of H. strobilaceum extract (Table 4).

3.4 Effects of halophyte extract on quinoa seed protein expression under salt stress

Total protein was extracted from quinoa seeds and separated by SDS-PAGE. PAGE is a highly sensitive technique that makes it possible to identify micrograms of protein. It produces better separation of protein mixtures than other available techniques. These characteristics made this technique desirable for quantization and identification of proteins. Protein profiles revealed major differences among all treatments. The electrograms exhibited distinctive quantitative and qualitative alterations. The electrophoretic pattern of total quinoa proteins from five different salinity treatments on SDS-polyacrylamide gel is shown in Figure 2. Variations can be observed in the quinoa protein; three regions, designated as 1, 2, and 3, were observed with distinctions among and between them. Variations were shown in the 2nd and 3rd regions. As shown in Figure 2, total soluble proteins in all treatments were resolved into 17 bands ranging from 8 to 12 bands. All treatments showed polymorphic bands at molecular weights ranging from 250 KDa to 29 KDa. Seed storage quinoa protein revealed eight monomorphic/common bands at molecular weights (250, 91, 71, 60, 48, 39, 34, and 31KDa) in all treatments. Herein, there are four main known quinoa protein/subunits, namely albumins (can’t be detected), globulins (34, 39 KDa), glutelins (60, 71, 91 KDa), and prolamins (31 KDa). Quinoa protein is rich in globulins and albumins more than prolamins. Stress-induced variations in protein expression are reflected in the presence or absence of particular bands at increasing NaCl concentrations. One band (54 KDa in 150 treatments) and two bands (40, 43 KDa in 25%) disappeared. Plant extract was unable to mitigate the effects of NaCl stress at both mild and high salinity percent (25% and 100%), where decreased the number of bands to 9 and 8 bands compared to their water control (11 &9 bands), reflected on low polymorphism (Pb= 52.94, 47.06%) than its water control (pb%= 64.71, 52.94%) as shown in Figure 3. Notably, both salinity treatments of 50% and 75% showed a constant band number and percent of polymorphism, like their water control. The 50% treatment revealed 9 bands with high Pb% %=52.94%, while the 75% treatment showed 8 bands with low polymorphism (Pb=47.06%). In contrast, 150% of NaCl seems to mitigate the effects of NaCl stress somewhat, as seen by the two novel protein bands that were found at 43 and 30 KDa in comparison to tap water. The greatest polymorphism was evident in the growing number of bands (10 Pb% bands = 58.82 vs. 9 control bands of Pb% 52.94%). The study indicated that some unique bands appear only with extract treatment at severe stress, indicating de novo protein expression triggered by the extract.

Figure 2
Gel electrophoresis image showing twelve lanes labeled M and 1 to 12, with molecular weight markers on the left ranging from 29 to 250 kilodaltons. Three regions are highlighted: Region 1 (124-91 kDa), Region 2 (71-54 kDa), and Region 3 (43-29 kDa).

Figure 2. Sodium Dodecyl Sulfate–Polyacrylamide Gel Electrophoresis (SDS-PAGE) protein electrophoretic patterns of treated Chenopodium quinoa. The Lanes showed M: Marker (LMW from 29–250 KDa) (See Figure 3 for detailed code numbers of different treatments).

Figure 3
Bar chart showing PB% values for different NaCl% in DW and HE conditions. Values are: DW 0% (52.94), HE 0% (47.06), DW 25% (64.71), HE 25% (52.94), DW 50% (52.94), HE 50% (52.94), DW 75% (47.06), HE 75% (52.94), DW 100% (52.94), HE 100% (47.06), DW 150% (52.94), HE 150% (58.82). Error bars are included.

Figure 3. Clustered bar chart from Sodium Dodecyl Sulfate–Polyacrylamide Gel Electrophoresis (SDS-PAGE) analysis of treated Chenopodium quinoa plants. DW, distilled water; HE, Halocnemum strobilaceum extract.

4 Discussion

Quinoa (Chenopodium quinoa) is widely acknowledged as a strategic crop for saline and arid agroecosystems owing to its inherent tolerance to abiotic stresses, high nutritional value, and adaptability to marginal environments (Taaime et al., 2023; Zouari et al., 2025). Improving quinoa performance under salinity is therefore a key target for enhancing food security in regions facing soil and water salinization. Recent strategies to sustain quinoa yields have focused on genotype selection, optimized agronomic practices, and the use of biostimulants and microbial inoculants. Biostimulants comprise organic or inorganic substances and/or beneficial microorganisms that, when applied to plants, activate a range of physiological and biochemical processes, thereby enhancing growth, productivity, and resilience to environmental stresses (Ali et al., 2021; Franzoni et al., 2022; Ma et al., 2022). Consistently, Hajihashemi et al. (2022) previously documented that quinoa’s tolerance to salinity can be strengthened through biochemical priming approaches. Specifically, treatments with salicylic acid and sodium nitroprusside enhanced antioxidant defense mechanisms, mitigated oxidative damage, and promoted osmoprotectant accumulation, thereby improving its resilience to salinity stress. Slatni et al. (2024) showed that the use of plant growth-promoting rhizobacteria isolated from halophytic rhizospheres, particularly Bacillus species, were found to enhance quinoa growth and salinity tolerance by improving root traits, biomass, and physiological performance. In line with these innovative approaches, our results indicate that foliar application of H. strobilaceum extract (HE) induced physiological and biochemical adjustments in quinoa, including modulation of osmolyte levels and chlorophyll fluorescence parameters, suggesting its potential as a natural biostimulant to improve crop resilience under saline conditions. It is noteworthy that in the present study, the responses of quinoa at 25 and 75 mM NaCl were generally similar to those observed at 50 and 100 mM, respectively. Nevertheless, these intermediate concentrations were included to establish a finer gradient of salinity stress. This approach allowed for a more consistent assessment of quinoa’s tolerance, although future investigations may benefit from focusing on fewer but more informative salinity levels to enhance clarity.

Elevated salinity levels were known to significantly suppress quinoa growth traits, including root length, leaf area, and seed weight, confirming the adverse impact of salt stress on both vegetative growth and yield components (Liu et al., 2024). In our study, salinity imposed a strong inhibitory effect on quinoa growth, as shown by reductions in root length (−17.4%), leaf area (−44.3%), and seed weight (−19.4% for 1000-seed weight and −26.4% for individual seed weight). The foliar application of HE mitigated these negative effects, particularly at 50–100 mM NaCl, where the number of leaves, leaf area, and seed weight were substantially improved compared to untreated plants. Notably, HE application enhanced seed weight by up to 33.9% and leaf area by 8.6%, thereby supporting yield stability even under severe salinity. These findings are consistent with field studies in Egypt (Ali et al., 2023), where the combined application of potassium fertilization and foliar spraying of seaweed extract markedly improved quinoa yield and grain quality across two growing seasons, underscoring the potential of biostimulant-based strategies to enhance crop productivity under challenging environments.

Salinity stress hinders quinoa performance, causing declines in photosynthetic rate, leaf area, and biomass in a dose‐dependent manner (Slatni et al., 2024; Slimani et al., 2022). In the present study, quinoa’s physiological response to salinity followed a concentration‐dependent pattern: at low salinity (25 mM), osmotic adjustment occurred via increased sugars, proteins, and phenols — but lipid peroxidation also indicated early oxidative stress; at moderate levels (50–75 mM), metabolic dysregulation became evident, including photoinhibition (Fv/Fm ≈ 0.71) and K+/Na+ imbalance; while at high levels (100–150 mM), plants shifted toward hyperosmotic adaptation with elevated proline, amino acids, and Ca²+ accumulation to preserve membrane integrity. Foliar application of HE at 0 mM NaCl (control) significantly increased seed lipid content (p<0.001), indicating that the extract contains bioactive compounds that can stimulate baseline metabolic processes even in the absence of salt stress. At a salinity level of 50 mM NaCl, the extract maintained seed lipid accumulation and moderated sugar decline, suggesting preservation of primary carbon metabolism and a capacity to buffer mild osmotic/ionic perturbation; similar protective effects of foliar biostimulants and plant extracts on carbohydrate and seed quality under mild salt stress have been reported in several crop species (Ma et al., 2022). At 100 mM NaCl, H. strobilaceum extract produced the most pronounced functional benefits: significantly increased protein content and photochemical efficiency (Fv/o) while significantly lowering MDA (p<0.001), collectively indicating enhanced photosynthetic stability and reduced lipid peroxidation under severe but sub-lethal salinity. At the highest level tested (150 mM NaCl), the extract continued to attenuate stress biomarkers by reducing H2O2 and proline accumulation and by modestly improving photochemical performance, which implies a capacity to limit excessive ROS accumulation and to prevent over-accumulation of osmolytes that can indicate metabolic distress. These improvements align with previous studies of Hajihashemi et al. (2022), who proved that salicylic acid and sodium nitroprusside, as a nitric oxide donor, priming significantly improved the antioxidant defense systems in boosting salinity tolerance in quinoa plants, and significantly reduced superoxide dismutase activity, which was accompanied by a significant decrease in hydrogen peroxide accumulation under salinity stress (100 mM NaCl). Flowers and Colmer (2008) reported that the unexpected resilience at 150 mM NaCl highlights species-specific adaptations, where Na+ exclusion and nitrogen mobilization counterbalance energy deficits—a strategy commonly observed in halophytes but rarely in glycophytes. In our study, HE notably increased protein content and seed lipid accumulation, even under saline conditions, indicating that it not only alleviates stress but also helps maintain grain nutritional quality.

SDS-PAGE analysis revealed that salinity stress caused clear quantitative and qualitative changes in quinoa seed protein profiles. Across treatments, eight monomorphic bands represented major storage proteins, including globulins (34, 39 kDa), glutelins (60, 71, 91 kDa), and prolamins (31 kDa). Loss of specific bands (e.g., 54 kDa at 150 mM NaCl; 40 and 43 kDa at 25 mM NaCl) suggests stress-induced protein denaturation or repression of synthesis (Zhang et al., 2013). Conversely, the emergence of two novel bands under high salinity (150 mM NaCl + HE) indicates possible de novo synthesis of stress-related proteins, a phenomenon reported in halophytes under high salinity (Flowers and Colmer, 2008). The reappearance of those two novel protein bands at 43 and 30 kDa in the protein profile of HE-treated salinized quinoa plants, which were missing in the protein profiles of untreated salinized plants, may result from the partial suppression of the gene(s) responsible for these particular proteins (Ibrahim et al., 2014), or could be due to improved growth and elevated osmolyte levels (Abdel Latef et al., 2017; Hussein et al., 2019; Ibrahim et al., 2014). These findings support the role of HE in modulating quinoa’s proteomic response, particularly at high salinity levels.

Overall, our findings demonstrate that H. strobilaceum extract (HE) mitigates salinity stress in C. quinoa by reducing oxidative damage, enhancing photosynthetic performance, and maintaining grain nutritional quality. The extract enhances quinoa’s salinity tolerance through modulation of physiological, biochemical, and proteomic responses, highlighting its potential as a natural biostimulant. Although the greenhouse-based conditions may not fully extrapolate to field environments, these results provide a robust foundation for future field validation and mechanistic investigations, supporting HE as a promising strategy for quinoa cultivation in saline environments.

5 Conclusions

Foliar application of Halocnemum strobilaceum extract (HE) effectively enhanced quinoa (Chenopodium quinoa) tolerance to salinity by improving photosynthetic efficiency, reducing oxidative damage, stabilizing protein content, and sustaining yield traits even under high salt stress (150 mM NaCl). Specifically, HE increased seed weight by up to 33.9%, improved leaf area by 8.6%, enhanced protein content and photochemical efficiency (Fv/Fm), and reduced oxidative stress markers (MDA and H2O2). Its protective role was particularly evident at high salinity levels, where HE promoted seed nutritional quality, preserved membrane integrity, and induced the synthesis of stress-related proteins, demonstrating its dual function in increasing stress resilience and maintaining grain nutritional quality. Collectively, these findings indicate that HE functions as a sustainable natural biostimulant capable of mitigating salinity-induced damage and supporting quinoa productivity under controlled conditions. For practical application, further research is needed to validate the HE efficacy under field conditions, and explore its effects across a broader range of salinity levels (300–500 mM NaCl).

Data availability statement

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

Author contributions

GA: Investigation, Conceptualization, Visualization, Methodology, Validation, Funding acquisition, Supervision, Resources, Writing – review & editing, Project administration. AF: Conceptualization, Project administration, Resources, Methodology, Validation, Visualization, Supervision, Writing – original draft, Formal analysis, Writing – review & editing, Investigation, Data curation. AA: Visualization, Resources, Project administration, Validation, Methodology, Supervision, Investigation, Writing – review & editing, Conceptualization. ST: Writing – original draft, Software, Investigation, Resources, Formal analysis, Visualization, Writing – review & editing, Data curation, Validation, Methodology, Conceptualization.

Funding

The author(s) declare financial support was received for the research and/or publication of this article. This work was funded by the University of Jeddah, Jeddah, Saudi Arabia, under grant No. (UJ-24-DR-1968-1). The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Acknowledgments

The authors would like to express their gratitude to the University of Jeddah for its technical and financial support. We sincerely thank Dr. Samer M. Amer, Assistant Professor of Crop Science, Faculty of Agriculture, Alexandria University, for kindly providing the Chenopodium quinoa seeds used in this study.

Conflict of interest

The 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.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Abdel Latef, A. A. H., Abu Alhmad, M. F., and Abdelfattah, K. E. (2017). The possible roles of priming with ZnO nanoparticles in mitigation of salinity stress in lupine (Lupinus termis) plants. J. Plant Growth Regul. 36, 60–70. doi: 10.1007/s00344-016-9618-x

Crossref Full Text | Google Scholar

Abdel Latef, A. A. H., Abu Alhmad, M. F., Kordrostami, M., Abo–Baker, A.-B.A.-E., and Zakir, A. (2020). Inoculation with Azospirillum lipoferum or Azotobacter chroococcum reinforces maize growth by improving physiological activities under saline conditions. J. Plant Growth Regul. 39, 1293–1306. doi: 10.1007/s00344-020-10065-9

Crossref Full Text | Google Scholar

Ahmad, P., Hashem, A., Abd-Allah, E. F., Alqarawi, A., John, R., Egamberdieva, D., et al. (2015). Role of Trichoderma harzianum in mitigating NaCl stress in Indian mustard (Brassica juncea L) through antioxidative defense system. Front. Plant Sci. 6, 868. doi: 10.3389/fpls.2015.00868

PubMed Abstract | Crossref Full Text | Google Scholar

Ali, E., Abd El-Samad, E., Abdelaal, H., and AbouSekken, M. (2023). Enhancement of quinoa grain yield and nutritional quality by potassium fertilization combined with foliar spraying of seaweed extract. J. Ecol. Eng. 24, 341–356. doi: 10.12911/22998993/158384

Crossref Full Text | Google Scholar

Ali, O., Ramsubhag, A., and Jayaraman, J. (2021). Biostimulant properties of seaweed extracts in plants: implications towards sustainable crop production. Plants 10, 531. doi: 10.3390/plants10030531

PubMed Abstract | Crossref Full Text | Google Scholar

Allen, S. E., Grimshaw, H. M., Parkinson, J. A., and Quarmby., C. (1974). Chemical analysis of ecological materials Vol. 10016 (New York, NY: John Wiley & Sons, Inc.), 565 pp.

Google Scholar

AOCS, O. (1998). Methods and recommended practices of the American Oil Chemists’ Society (Champaign, IL, USA: American Oil Chemists' Society), 1200 pp.

Google Scholar

Atzori, G., de Vos, A. C., van Rijsselberghe, M., Vignolini, P., Rozema, J., Mancuso, S., et al. (2017). Effects of increased seawater salinity irrigation on growth and quality of the edible halophyte Mesembryanthemum crystallinum L. under field conditions. Agric. Water Manage. 187, 37–46. doi: 10.1016/j.agwat.2017.03.020

Crossref Full Text | Google Scholar

IUCN Red List categories and criteria: Version 3.1 (2nd ed.), 2012. Available online at: https://portals.iucn.org/library/node/10315 (Accessed June, 10, 2025).

Google Scholar

Bates, L. S., Waldren, R., and Teare, I. (1973). Rapid determination of free proline for water-stress studies. Plant Soil 39, 205–207. doi: 10.1007/BF00018060

Crossref Full Text | Google Scholar

Bhargava, A., Shukla, S., and Ohri, D. (2006). Chenopodium quinoa—an Indian perspective. Ind. Crops products 23, 73–87. doi: 10.1016/j.indcrop.2005.04.002

Crossref Full Text | Google Scholar

Carillo, P., Cirillo, C., De Micco, V., Arena, C., De Pascale, S., and Rouphael, Y. (2019). Morpho-anatomical, physiological and biochemical adaptive responses to saline water of Bougainvillea spectabilis Willd. trained to different canopy shapes. Agric. Water Manage. 212, 12–22. doi: 10.1016/j.agwat.2018.08.037

Crossref Full Text | Google Scholar

Crop, I. (2020). IBM SPSS Statistics for Windows (Armonk, NY, USA: IBM Corp).

Google Scholar

DuBois, M., Gilles, K. A., Hamilton, J. K., Rebers, P. A., and Smith, F. (1956). Colorimetric method for determination of sugars and related substances. Analytical Chem. 28, 350–356. doi: 10.1021/ac60111a017

Crossref Full Text | Google Scholar

Flowers, T. J. and Colmer, T. D. (2008). Salinity tolerance in halophytes. New Phytol. 179, 945–963. doi: 10.1111/j.1469-8137.2008.02531.x

PubMed Abstract | Crossref Full Text | Google Scholar

Franzoni, G., Cocetta, G., Prinsi, B., Ferrante, A., and Espen, L. (2022). Biostimulants on crops: Their impact under abiotic stress conditions. Horticulturae 8, 189. doi: 10.3390/horticulturae8030189

Crossref Full Text | Google Scholar

Hajihashemi, S., Jahantigh, O., and Alboghobeish, S. (2022). The redox status of salinity-stressed Chenopodium quinoa under salicylic acid and sodium nitroprusside treatments. Front. Plant Sci. 13, 1030938. doi: 10.3389/fpls.2022.1030938

PubMed Abstract | Crossref Full Text | Google Scholar

Hanin, M., Ebel, C., Ngom, M., Laplaze, L., and Masmoudi, K. (2016). New insights on plant salt tolerance mechanisms and their potential use for breeding. Front. Plant Sci. 7, 1787. doi: 10.3389/fpls.2016.01787

PubMed Abstract | Crossref Full Text | Google Scholar

Heath, R. L. and Packer, L. (1968). Photoperoxidation in isolated chloroplasts: I. Kinetics and stoichiometry of fatty acid peroxidation. Arch. Biochem. biophysics 125, 189–198. doi: 10.1016/0003-9861(68)90654-1

PubMed Abstract | Crossref Full Text | Google Scholar

Hussein, H.-A. A., Mekki, B. B., El-Sadek, M. E. A., and El Lateef, E. E. (2019). Effect of L-Ornithine application on improving drought tolerance in sugar beet plants. Heliyon 5, e02631. doi: 10.1016/j.heliyon.2019.e02631

PubMed Abstract | Crossref Full Text | Google Scholar

Ibrahim, W. M., Ali, R. M., Hemida, K. A., and Sayed, M. A. (2014). Role of Ulva lactuca extract in alleviation of salinity stress on wheat seedlings. TheScientificWorldJournal 847290. doi: 10.1155/2014/847290

PubMed Abstract | Crossref Full Text | Google Scholar

Jindal, K. and Singh, R. (1975). Phenolic content in male and female Carica papaya: a possible physiological marker for sex identification of vegetative seedlings. Physiologia Plantarum 33, 104–107. doi: 10.1111/j.1399-3054.1975.tb03774.x

Crossref Full Text | Google Scholar

Laemmli, U. K. (1970). Cleavage of structural proteins during the assembly of the head of bacteriophage T4. Nature 227, 680–685. doi: 10.1038/227680a0

PubMed Abstract | Crossref Full Text | Google Scholar

Lee, Y. P. and Takahashi, T. (1966). An improved colorimetric determination of amino acids with the use of ninhydrin. Analytical Biochem. 14, 71–77. doi: 10.1016/0003-2697(66)90057

Crossref Full Text | Google Scholar

Liu, C., Jiang, X., and Yuan, Z. (2024). Plant responses and adaptations to salt stress: a review. Horticulturae 10, 1221. doi: 10.3390/horticulturae10111221

Crossref Full Text | Google Scholar

Liu, W., Zhang, Y., Yuan, X., Xuan, Y., Gao, Y., and Yan, Y. (2016). Exogenous salicylic acid improves salinity tolerance of Nitraria tangutorum. Russian J. Plant Physiol. 63, 132–142. doi: 10.1134/S1021443716010118

Crossref Full Text | Google Scholar

Ma, Y., Freitas, H., and Dias, M. C. (2022). Strategies and prospects for biostimulants to alleviate abiotic stress in plants. Front. Plant Sci. 13. doi: 10.3389/fpls.2022.1024243

PubMed Abstract | Crossref Full Text | Google Scholar

Martin, T. N., Fipke, G. M., Minussi Winck, J. E., and Márchese, J. A. (2020). ImageJ software as an alternative method for estimating leaf area in oats. Acta Agronómica 69, 162–169.

Google Scholar

Oser, B. L. and Hawk, P. B. (1965). Hawk's physiological chemistry (New York, USA: McGraw-Hill), xv + 1472 pp.

Google Scholar

Osman, M. S., Badawy, A. A., Osman, A. I., and Abdel Latef, A. A. H. (2021). Ameliorative impact of an extract of the halophyte Arthrocnemum macrostachyum on growth and biochemical parameters of soybean under salinity stress. J. Plant Growth Regul. 40, 1245–1256. doi: 10.1007/s00344-02010185-2

Crossref Full Text | Google Scholar

Pomory, C. M. (2008). Color development time of the Lowry protein assay. Analytical Biochem. 378, 216–217. doi: 10.1016/j.ab.2008.04.015

PubMed Abstract | Crossref Full Text | Google Scholar

Qu, X.-X., Huang, Z.-Y., Baskin, J. M., and Baskin, C.C. (2008). Effect of temperature, light and salinity on seed germination and radicle growth of the geographically widespread halophyte shrub Halocnemum strobilaceum. Ann. Bot. 101, 293–299. doi: 10.1093/aob/mcm047

PubMed Abstract | Crossref Full Text | Google Scholar

Radwan, H. and Shams, K. (2007). Phytochemical and biological investigations on Halocnemum strobilaceum (Chenopodiaceae). Planta Médica 73, P_337. doi: 10.1055/s-2007-987117

Crossref Full Text | Google Scholar

Rouphael, Y., Cardarelli, M., Rea, E., and Colla, G. (2012). Improving melon and cucumber photosynthetic activity, mineral composition, and growth performance under salinity stress by grafting onto Cucurbita hybrid rootstocks. Photosynthetica 50, 180–188. doi: 10.1007/s11099-012-0002-1

Crossref Full Text | Google Scholar

Ruiz-Lozano, J. M., Porcel, R., Azcon, C., and Aroca, R. (2012). Regulation by arbuscular mycorrhizae of the integrated physiological response to salinity in plants: new challenges in physiological and molecular studies. J. Exp. Bot. 63, 4033–4044. doi: 10.1093/jxb/ers126

PubMed Abstract | Crossref Full Text | Google Scholar

Salma, L., Aymen, E. M., Maher, S., Hassen, A., Chérif, H., Halima, C., et al. (2014). Effect of seaweed extract of Sargassum vulgare on germination behavior of two bean cultivars (Phaseolus vulgaris L) under salt stress. IOSR J. Agric. Veterinary Sci. 7, 116–120. doi: 10.9790/2380-0721116120

Crossref Full Text | Google Scholar

Schroeder, A. B., Dobson, E. T., Rueden, C. T., Tomancak, P., Jug, F., and Eliceiri, K. W. (2021). The ImageJ ecosystem: Openystem:a software for image visualization, processing, and analysis. Protein Sci. 30, 234–249. doi: 10.1002/pro.3993

PubMed Abstract | Crossref Full Text | Google Scholar

Slatni, T., Ben Slimene, I., Harzalli, Z., Taamalli, W., Smaoui, A., Abdelly, C., et al. (2024). Enhancing quinoa (Chenopodium quinoa) growth in saline environments through saltughmentsq rhizobacteria from halophyte biotope. Physiologia Plantarum 176, e14466. doi: 10.1111/ppl.14466

PubMed Abstract | Crossref Full Text | Google Scholar

Slimani, N., Arraouadi, S., and Hajlaoui, H. (2022). Biochemical and physiological behavior against salt stress effect on two quinoa accessions (Chenopodium quinoa Willd.). Int. J. Agric. Anim. Prod 2, 9–19. doi: 10.55529/ijaap.24.9.19

Crossref Full Text | Google Scholar

Sofowora, A. (1982). Medicinal plants and traditional medicine in Africa (Chichester, West Sussex, UK: Chichester John Wiley and Sons Ltd.), xviii + 256pp.

Google Scholar

Taaime, N., Rafik, S., El Mejahed, K., Oukarroum, A., Choukr-Allah, R., Bouabid, R., et al. (2023). Worldwide development of agronomic management practices for quinoa cultivation: a systematic review. Front. Agron. 5. doi: 10.3389/fagro.2023.1215441

Crossref Full Text | Google Scholar

Van Kooten, O. and Snel, J. F. (1990). The use of chlorophyll fluorescence nomenclature in plant stress physiology. Photosynthesis Res. 25, 147–150. doi: 10.1007/BF00033156

PubMed Abstract | Crossref Full Text | Google Scholar

Velikova, V., Yordanov, I., and Edreva, A. (2000). Oxidative stress and some antioxidant systems in acid rain-treated bean plants: protective role of exogenous polyamines. Plant Sci. 151, 59–66. doi: 10.1016/S0168-9452(99)00197-1

Crossref Full Text | Google Scholar

Zhang, M., Fang, Y., Ji, Y., Jiang, Z., and Wang, L. (2013). Effects of salt stress on ion content, antioxidant enzymes and protein profile in different tissues of Broussonetia papyrifera. South Afr. J. Bot. 85, 1–9. doi: 10.1016/j.sajb.2012.11.005

Crossref Full Text | Google Scholar

Zouari, M., Rjeibi, W., and Hachicha, M. (2025). The agro-physiological and phytochemical potential of quinoa (Chenopodium quinoa Willd.) under saline stress: A comprehensive investigation of nutritional properties and antioxidant activities. Plants 14, 1482. doi: 10.3390/plants14101482

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: sustainable agriculture, Halocnemum strobilaceum, arid land, biostimulant, eco-friendly salinity management, NaCl-induced abiotic stress, foliar application under salinity, salt stress mitigation in crops

Citation: Aljeddani GS, Fakhry AM, Almoshadak AS and Toto SM (2025) Foliar application of Halocnemum strobilaceum improves Chenopodium quinoa growth and physiological traits for saline agricultural residence. Front. Plant Sci. 16:1688246. doi: 10.3389/fpls.2025.1688246

Received: 18 August 2025; Accepted: 10 November 2025; Revised: 02 November 2025;
Published: 25 November 2025.

Edited by:

Boon Chin Tan, University of Malaya, Malaysia

Reviewed by:

Zainul Abideen, University of Karachi, Pakistan
Ebrahim Talebi, Islamic Azad University System, Iran

Copyright © 2025 Aljeddani, Fakhry, Almoshadak and Toto. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Amal M. Fakhry, YW1hbC5mYWtocnlAYWxleHUuZWR1LmVn; Soliman M. Toto, c210X3RvdG9AYWxleHUuZWR1LmVn

ORCID: Ghalia S. Aljeddani, orcid.org/0009-0004-0086-0091
Amal M. Fakhry, orcid.org/0000-0001-6240-5917
Ameina S. Almoshadak, orcid.org/0000-0003-1815-4254
Soliman M. Toto, orcid.org/0000-0003-2098-2374

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.