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INTRODUCTION

Gerbera is widely used in cut flower industry and a well-known cut flower grown throughout the world in a variety of climatic conditions (Shafiullah Prodhan et al., 2017). Gerbera is the fifth ornamental plant, which is mostly used as cut flower after rose, carnation, chrysanthemum and tulip (National Garden Bureau). Due to colour variation, size of flower, having long vase life and wide adoptability for culture (Kulkarni et al., 2017), gerbera is a flower of choice for cultivation in greenhouse condition in many countries.

Water scarcity and environmental pollution have led to an increase in the use of low-quality water for irrigation, especially improved wastewater and salty water (Shani and Dudley, 2001). Water for irrigation, both in ter ms of quality and quantity, remains a significant unresolved problem in agricultural production. On the other hand, salinity is the most significant qualitative characteristic of water resources (Brown et al., 2002) especially under hydroponic systems. Along with improper irrigation and chemical fertilisation in plants in soilless cultures, inadequate drainage and reduced root biomass can lead to salt accumulation in the rizosphere (Sonneveld et al., 2000). As a result, encountering the negative effects of salinity is critical where the production of cut flowers is performed under greenhouse condition, especially in hydroponic cultures. Salts in the soil, such as chloride and sodium sulphates, affect the growth of plants by changing the morphology, anatomy and physiology of plant (Saravanavel et al., 2011). Furthermore, salt stress reduced crop growth and productivity in sensitive varieties due to the negative effects on biomass, mineral components, hydraulic balance and carbon assimilation (Lauchli and Grattan, 2007). Many projects have been carried out on the effect of salt stress on gerbera (Paradiso, 2003; Akat et al., 2009; Ganege Don et al., 2010; Carmassi et al., 2013), and it has been demonstrated that the heist threshold of salinity without any reduction in yield of substrate–grown gerbera is 1.5 to 2.8 dS · m−1 (Gómez Bellot et al., 2018).

Biostimulants contain different varieties of compounds, substances and microorganisms that are applied to plants or soil to restore crop vigour, yield, quality and abiotic stress tolerance (Hajizadeh et al., 2019). Recently, silicon compounds are increasingly used as a biostimulants in hydroponic nutrient solutions (Laane, 2018). It is known that silicon is an effective element for plant growth and development (Siddiqui et al., 2015). Several studies have indicated that silicon can act either as an essential or as a nonessential element depending on the plant variety. For example, for Equisetaceae family, silicon is essential (Epstein, 1994), but silicon may also help other plants in better adapting to different environmental stresses (Luyckx et al., 2017). There is a lot of literature about the beneficial effects of silicon on growth, yield and quality of fruits such as strawberry (Wang and Galetta, 1998) and also some of ornamentals including gerbera (Savvas et al., 2002), sun flower (Conceição et al., 2019), Rosa hybrida (Savvas et al., 2007) and Zinnia elegans (Kamenidou et al., 2010). For example, spray with silicon compounds in marguerite daisy (Argyranthemum frutescens), strawflower (Xerochysum bracteatum), African daisy (Osteospermum ecklonis) and guara (Guara lindheimeri) increased the number of lateral shoots, bud and flower number and/or inflorescence number (Wróblewska and Dębicz, 2011).

Beneficial nanoparticles (NPs) in agricultural applications are currently interesting field of research (Prasad et al., 2017; Zahedi et al., 2020a). Interactions of nanoparticles with plants cause many morpho-physiological alterations, which are related to the particle properties. It has been demonstrated that spraying of Si-NPs on plants increases the growth and development of plant by increasing proline accumulation, free amino acids, nutrient content, activity of antioxidative enzymes, gas exchange and photosynthetic apparatus efficiency (Kalteh et al., 2014). As the majority of cut flower production occurs in greenhouses and there is a risk of inverse effects of increased salinity on plant production and cut flower quality, therefore, it is important to specify the effects of several salt concentrations on plant growth, efficiency and quality in order to determine the tolerance threshold of each plant. Several researches suggested that addition of silicon to the nutritional solution is an effective alternative to combat the negative symptoms of salinity in plants (Jamali and Rahemi, 2011; Carvalho-Zanao et al., 2012; Jana and Jeong, 2014). In addition, it was observed that the SiO2 nano particles were different from their bulk form in their physical and chemical characteristics (O’Farrell et al., 2006; Rastogi et al., 2019). Today, hydroponic cultivation technology is widely used in flower and ornamental plants around the world. Since salinity control of nutrients is a constant problem and costly in hydroponic cultivation, and the scarcity of fresh water necessitates the use of different sources of water such as wells, effluents and recycled water. Therefore, the present work was subjected to evaluate the effects of different levels of salinity along with different levels of SiO2-NPs on gerbera (Gerbera × jamesonii H. Bol cv. Terra Kalina) quality and nutritional uptake as well as antioxidative defense mechanism under hydroponic culture.

MATERIALS AND METHODS
Plant materials, growth and treatments

Gerbera (Gerbera × jamesonii H. Bol cv. ‘Teera Kalina’) plants were planted in 12-L pots that contained 60% perlite and 40% cocopeat. The experiment was conducted at Fadak greenhouse in Maragheh (46°16′ E and 37°23′ N, altitude 1485 m), Iran. During the trial, the photoperiod of greenhouse was 14/10 h (light/dark), 22/18 ± 2°C temperature (day/night) and 75 ± 10% relative humidity. Plants were fed a Hogland nutrient solution containing macro and micro elements (Table 1) in irrigation water for 2 weeks until they were fully grown. The pH of Hogland solution in the tanker was adjusted to 5.5–6 using sodium bicarbonate or sulphuric acid. Then, the salinity level of the nutrient solution was considered as the control (S0 = 0 mM) with four other concentrations as 5 (S1), 10 (S2), 20 (S3) and 30 (S4) mM NaCl. Plants were manually irrigated with the salinity treatments at a rate of 400 mL per pot every other day. At the end of each week, pots were irrigated with tap water to prevent leaching and salt accumulation.

Composition and concentration of Macro and micro-elements used in modified Hogland solution.

Macronutrient g · L−1 Micronutrient mg · L−1
Ca(NO3)2.4H2O 0.47 H3BO3 2.86
KNO3 0.3 MnCl2 4H2O 1.81
MgSO4 7H2O 0.25 ZnSO4 7H2O 0.22
NH4H2PO4 0.06 Na2MOO4.2H2O 0.02
Iron (Fe-EDTA) 0.1 CuSO4.5H2O 0.08

After 3 months and just before flowering, the upper surface of leaves of control and salt-treated plants were sprayed until full wetting (ca. 25 mL · plant−1) with solutions containing 0 (distilled water as mentioned C0), 25 (C1) and 50 (C2) mg · L−1 SiO2-NPs as illustrated in Figure 1. SiO2-NPs (size ˂50 nm) were prepared from Nanosany Corporation of nanomaterial company, Iran. The SiO2-NPs properties are illustrated in Table 2. The size and type of nanoparticles used were selected based on the positive results of previous experiments (Zahedi et al., 2020b); indeed, the smaller NPs can enter into plant cells easily (Hossain et al., 2015). In addition, the Transmission Electron Microscopy (TEM) and Scanning Electron Microscopy (SEM) images of mesoporous silica particles (sample NNV-001) synthesised by Nanosany Corporation are illustrated in Figure 2. Then the effect of mentioned SiO2-NPs spray on vegetative and flowering factors of gerbera was evaluated, and their interactions from morphological, physiological, and nutritional aspects were identified.

SiO2-NPs properties.

SiO2-NPs
Purity 99+%
APS 20–30 nm
SSA 180–600 m2 · g−1
Colour White
Morphology Amorphous
True density 2.4 g · cm−3

APS, average particle size; SSA, specific surface area.

Figure 1

Gerbera cv. ‘Teera Kalina’ under different salinity levels [S0 = 0 mM (control), S1 = 5 mM, S2 = 10 mM, S3 = 20 mM and S4 = 30 mM] sprayed with 25 mg · L−1 SiO2-NPs.

Figure 2

TEM (A) and SEM (B) images of SiO2-NPs.

Morphological and physiological traits of plant in response to SiO2-NPs treatment under salinity
Morphological parameters

Following the completion of the trial, the number of leaves and flowers in each plant was recorded. Flower stem height and diameter, flower diameter were measured by digital caliper. Also, for plant fresh and dry weight, plants were harvested from each pot at the end of the treatment cycle, cleaned using deionised water, and dried in a forced-air oven at 70°C for 48 h. Then dry weight was measured using electronic precision balance (Sartorius, Basic, Germany). Total leaf area was measured with a Delta-T Image Analysis System (Delta-T, LTD, Cambridge, UK).

Membrane stability index (MSI)

For measuring the stability of cell membrane, fresh leaf samples were cut into small discs with equal size. The weight of the samples were recorded, and 10 mL of ddH2O2 was added to test tubes. The tubes were incubated in a water bath at 40°C for 30 min, and the electrical conductivity (C) of the samples was measured by using a conductivity bridge. Then leaf samples were transferred to other tubes and incubated in the boiling water bath at 100°C for 15 min and the second electrical conductivity of samples were measured as mentioned before. Then the amount of membrane stability was calculated and showed as percentage (Premachandra et al., 1990) by the following equation: MSI=[1(C1/C2)]×100 {\rm{MSI}} = \left[ {1 - \left( {{\rm{C}}1/{\rm{C}}2} \right)} \right] \times 100 where C1 and C2 were EC at 40 and 100°C, respectively.

Electrolyte leakage (EL) percentage

To identify cell membrane permeability, it is usually used of measuring the amount of electrolyte leakage according to Lutts et al. (1996).

Leaf relative water contents (RWC)

The RWC of leaves was identified in the fresh leaf of plant. Fresh weight of leaf samples were measured (FW) and then were digging in ddH2O2. After 2 h, the leaves were taken out of the water; the surface water was removed and again measured as turgid weight (TW). Then the samples were dried at 70°C in an oven to constant weight (DW). RWC of leaves was estimated according to the following equation (Turner, 1981): RWC(%)=[(FWDW)/(TWDW)]×100 {\rm{RWC}}\left( \% \right) = \left[ {\left( {{\rm{FW}} - {\rm{DW}}} \right)/\left( {{\rm{TW}} - {\rm{DW}}} \right)} \right] \times 100

SPAD Measurements

The SPAD value was recorded by a hand-held chlorophyll meter (SPAD-502, Konika Minolta, Japan).

Biochemical analysis and antioxidant enzyme activities of plants in response to SiO2-NPs treatment under salinity
Proline determination

For measuring the amount of proline, 0.2 g fresh weight of leaf was homogenised in 2 mL of 3% aqueous sulfosalicylic acid and centrifuged at 10,000 rpm for 30 min. After decanting the supernatant, pellet was washed with 3% aqueous sulfosalicylic acid. The supernatants were pooled, and the proline content was estimated using ninhydrin reagent and toluene extraction (Bates et al., 1973). For each determination, this method was calibrated with standard solutions of proline within the certain range of the method (0–39 μg · mL−1).

Protein determination

Determination of protein was done using the Bradford procedure (Bradford, 1976) and a standard curve draw according to certain amounts of bovine serum albumin was used. Briefly, Coomassie blue is a reagent that reacts with basic amino acid residues mostly with arginine in response to different protein concentrations. After the plants had been treated, 100 mg of the dried leaf was placed in a test tube with 2 mL of 50 mM potassium phosphate buffer at pH 7.0 and centrifuged at 7,000–12,000 rpm. The supernatant was removed and centrifuged at 3,000 rpm for 15 min at 4°C. Samples were diluted 1:100 and the amount of absorption was recorded at 595 nm by spectrophotometer and recorded as mg · g−1 FW.

Malondialdehyde (MDA) determination

Determination of malondialdehyde was done using 2-thiobarbituric acid (TBA) reactive metabolites (Zhang et al., 2007). In this method, 1.5 mL extract was homogenised in 2.5 mL of 5% TBA made in 5% trichloroacetic acid (TCA). The solution was heated to 95°C for 15 min and then quickly cooled on ice. The samples were centrifuged for 10 min at 5,000 rpm, and the amount of supernatant absorption was measured at 532 nm using spectrophotometer. For correcting the non-specific turbidity, the absorbance value measured at 600 nm subtracted from the first amount of absorption at 532 nm. MDA was recorded as nmol · g−1 FW.

Hydrogen peroxide (H2O2) determination

Determination of H2O2 in leaves was done by the established protocol of Liu et al. (2014). Briefly, 0.5 g of leaf sample was homogenised in liquid nitrogen and a potassium phosphate buffer (KPB) (pH 6.8). Sample extractions were centrifuged at 7,000 rpm for 25 min at 4°C. A 100-μL aliquot of the supernatant was added to 1 mL of xylenol solution, mixed, and set aside for 30 min to rest. Then, according to the purity of the colour, which is a direct representation of the amount of H2O2 in the sample, was recorded by spectrophotometer (Shimadzu, Japan) at 560 nm and recorded in terms of μmol · g−1 FW.

Antioxidant enzyme activities

To prepare the extraction for measuring antioxidant enzyme activities, 1 g of fresh leaf samples were weighted and immediately homogenised in 5 mL of 50 mM K–phosphate buffer (pH 7.0), brought to 5 mM Na–ascorbate and 0.2 mM EDTA by adding the concentrated stocks. The homogenised sample was centrifuged at 10,000 rpm for 15 min at 4°C. Finally, the resulted supernatant was used for measuring the activity of antioxidative enzymes. The extraction was carried out at 4°C.

Guaiacol peroxidase (GPX) determination

The activity of GPX was evaluated by screening the increasing trend in the absorption at 470 nm (ɛ = 26.6 mM−1 cm−1) during polymerisation of guaiacol. One unit of enzyme activity was described as the amount of enzyme producing 1 μmol of tetraguaiacol per min at 25°C.

Ascorbate peroxidase (APX) determination

For measuring the amount of ascorbate peroxidase, the method of Yoshimura et al. (2000) was used. In the mentioned procedure, the reaction solution consists of phosphate buffer (250 μL), 1 mM ascorbate (250 μL), 0.4 μM EDTA (250 μL), 190 μL ddH2O2, 10 mM transoxide (10 μL), and 50 μL supernatant. Enzyme activity was recorded as an amount of supernatant absorption at 290 nm for 1 min. To estimate the correct amount of enzyme activity, an extinction coefficient of 2.8 mM−1 cm−1 for 1 min was applied.

Superoxide dismutase (SOD) determination

The activity of SOD was assayed by the established method of Beauchamp and Fridovich (1971), which is based on the inhibition of the photochemical reduction of nitro blue tetrazolium (NBT). In this method, 0.5 g of leaf samples were homogenised in 5 mL of potassium phosphate buffer (pH 7), mixed with EDTA (pH 7.8), and 1% polyvinylpolypyrrolidone (PVPP). The resulted extraction was centrifuged at 7,000 rpm for 10 min. The reaction mixture consists of 0.1 mM EDTA, 50 mM buffer phosphate, 13 mM methionine and 75 μM NBT and 2 mM riboflavin (totally 1 mL) and 100 μL of enzyme extraction. The mentioned mixture was then placed under a 20-W fluorescent lamp for 15 min, and the samples in the tubes were covered with a black cloth. At the end of the reaction, the amount of absorption was recorded at 560 nm by spectrophotometer.

Nutrient concentrations of Na+, Ca2+ and K+ of plants in response to SiO2-NPs treatment under salinity

Powder of the oven-dried leaf samples (0.5 g) was digested in a solution of nitric acid and perchloric acid (2:1; V/V; Malavolta et al., 1997). The concentration of Na+ and K+ was quantified using flame photometry (Jeneway, model PFP7) against Na+ and K+ standards curve of certain concentrations, according to the method of Ren et al. (2005). Ca2+ was measured by titration with EDTA and recorded as g · 100 g−1 FW.

Statistical analysis

Data analyzed by ANOVA software (SAS, version 9.4), and the difference between treatments was determined by the Duncan Multiple Range at p < 0.05. The trial was carried out as a factorial experiment in a completely randomised design (CRD), with three repetitions and each repetition includes two plants.

RESULTS AND DISCUSSION
Morphological and physiological parameters of gerbera plants in response to SiO2-NPs treatment with and without salinity

The number of leaves and flowers on gerbera plants was significantly decreased in salt-treated plants compared to control. Among different salinity levels, the highest salinity (30 mM NaCl) exhibited a profound reduction of 30 and 55% in the number of leaves and flowers on gerbera plants, respectively, versus the control (Table 3).

Effect of SiO2-NPs and salt stress on morphological parameters of gerbera cv. ‘Teera Kalina’.

Treatments Leaf No. Flower No. Plant fresh weight (g) Plant dry weight (g)

Salinity (mM) SiO2-NPs (mg ·L−1)
Control 0 9.33 ± 0.60 ab 1.56 ± 0.20 abc 79.33 ± 0.25 a 29.33 ± 0.25 a
25 9.33 ± 0.50 ab 1.86 ± 0.03 a 79.93 ± 0.05 a 29.46 ± 0.45 a
50 9.00 ± 0.50 abc 1.73 ± 0.03 a 80.16 ± 0.60 a 24.50 ± 1.80 bc
5 0 8.83 ± 0.70 abc 1.52 ± 0.20 abc 77.73 ± 0.15 abc 3.12 ± 1.70 f
25 9.16 ± 0.90 ab 1.86 ± 0.03 a 78.90 ± 0.25 ab 25.90 ± 1.10 ab
50 8.83 ± 0.50 abc 1.70 ± 0.05 ab 77.23 ± 0.20 abcd 24.33 ± 1.30 bc
10 0 7.83 ± 0.40 abc 1.21 ± 0.10 cde 73.93 ± 0.75 bcdef 18.26 ± 2.10 de
25 9.66 ± 0.95 a 1.63 ± 0.03 ab 75.96 ± 0.60 abcde 21.16 ± 0.90 cd
50 8.16 ± 0.35 abc 1.33 ± 0.15 bcd 70.03 ± 0.90 ef 18.63 ± 0.30 de
20 0 7.16 ± 0.30 abc 0.98 ± 0.04 def 71.83 ± 0.10 def 20.83 ± 0.45 cd
25 7.66 ± 0.75 abc 1.20 ± 0.10 cde 72.80 ± 0.45 cdef 22.33 ± 0.90 bcd
50 7.50 ± 0.25 abc 1.00 ± 0.08 def 71.03 ± 0.40 ef 26.03 ± 0.40 ab
30 0 6.50 ± 0.60 c 0.70 ± 0.05 f 64.93 ± 0.90 g 15.10 ± 0.45 e
25 7.66 ± 0.15 abc 0.90 ± 0.05 ef 71.83 ± 0.90 def 16.26 ± 0.60 e
50 7.00 ± 0.60 bc 0.73 ± 0.03 f 69.10 ± 0.50 fg 16.33 ± 0.30 e
Treatments Stem length (cm) Stem diameter (mm) Flower diameter (cm) Leaf area (cm2)

Salinity (mM) SiO2-NPs (mg · L−1)
Control 0 19.00 ± 1.20 a 0.56 ± 0.03 ab 4.56 ± 0.40 ab 228.67 ± 1.85 b
25 20.00 ± 0.90 a 0.60 ± 0.05 a 5.37 ± 0.10 a 260.82 ± 1.70 a
50 19.33 ± 0.70 a 0.50 ± 0.05 abc 5.36 ± 0.25 ab 239.09 ± 1.65 ab
5 0 14.33 ± 0.90 ab 0.46 ± 0.03 abcd 5.65 ± 0.50 ab 176.03 ± 1.70 c
25 19.66 ± 0.90 a 0.46 ± 0.03 abcd 6.04 ± 0.15 a 213.08 ± 1.50 c
50 18.33 ± 0.85 a 0.43 ± 0.03 bcde 5.31 ± 0.10 ab 184.53 ± 1.90 c
10 0 13.00 ± 0.50 ab 0.33 ± 0.03 defg 4.43 ± 0.30 ab 136.91 ± 1.50 d
25 14.66 ± 0.90 ab 0.36 ± 0.03 cdef 5.29 ± 0.50 ab 144.92 ± 1.70 d
50 13.66 ± 0.75 ab 0.33 ± 0.03 defg 4.85 ± 0.07 ab 143.62 ± 1.90 d
20 0 11.66 ± 0.90 ab 0.26 ± 0.02 fghi 3.46 ± 0.90 b 90.41 ± 2.20 ef
25 14.16 ± 0.90 ab 0.30 ± 0.05 efgh 5.08 ± 0.40 ab 95.73 ± 1.80 e
50 12.83 ± 0.35 ab 0.30 ± 0.05 defg 4.50 ± 0.90 ab 92.43 ± 1.50 ef
30 0 6.66 ± 0.90 b 0.13 ± 0.03 i 3.40 ± 0.30 b 65.74 ± 1.75 f
25 12.33 ± 0.30 ab 0.20 ± 0.05 ghi 4.22 ± 0.10 ab 82.20 ± 1.40 ef
50 11.33 ± 0.30 ab 0.16 ± 0.03 hi 3.60 ± 0.01 b 77.90 ± 0.85 ef

Values represent means ± standard errors of three independent replications (n = 3).

Different letters within the same column indicate significant differences at p < 0.05 among the treatments, according to Duncan's multiple range tests.

The highest number of flowers was obtained from S0 (non-saline) which was sprayed with 25 and 50 mg · L−1 of SiO2-NPs (1.87 and 1.73, respectively) while S5 (30 mM NaCl) without SiO2-NPs spray had the least number of flowers (0.7). The highest leaf number belonged to 10 mM NaCl along with 25 mg · L−1 SiO2-NPs spray, while the lowest leaf number was observed in 30 mM NaCl without SiO2-NPs spray (6.5) (Table 3). Plant shoot weight, especially dry weight, was more affected by salinity. Increased salinity levels resulted in decrease in fresh/dry weight of plant with the maximum and minimum weight ratios of 1.2 and 1.9, respectively. The highest shoot fresh/dry weight was observed in control, and it was not significantly different with S0C1 and S0C2 treatments. The lowest fresh/dry weight belonged to the S5C0 treatment (30 mM NaCl, without SiO2-NPs). However, in S5C2 treatment (30 mM NaCl+ 25 mg · L−1 SiO2-NPs), fresh weight significantly increased in comparison to S5C0. Thus, it could be concluded that the modifying effects of SiO2-NPs reduced the harmful effects of salinity. Results show that stem length was not affected by salinity levels up to 20 mM significantly. However, in 30 mM salinity level without the SiO2-NPs application, the shortest stem length was measured (6.66 cm vs 19.00 cm in control). Flower diameter was less affected because no significant difference was observed between all treated plants just compared to controls. Also, salinity-treated plants sprayed with 25 mg · L−1 of SiO2-NP had the most flower diameter. Stem diameter was more affected by salinity as the control sprayed with 25 mg · L−1 SiO2-NP had the most amount of diameter (0.6 mm) compared with 30 mM of salinity (0.13 mm). Savvas et al. (2002) reported that adding Si to the nutrient solution of gerbera enhanced the stem diameter of the flowers but did not affect the stem length. Increase in salinity levels from 0 up to 30 mM caused a significant reduction in flower number of plant and fresh weight of the flowers approximately by 55 and 18%, respectively, regardless of SiO2-NPs application. In controls, spraying gerbera plants with SiO2-NPs (25 mg · L−1) significantly cause to increase in leaf area (14%) compare to un-treated plants. These findings agree with the obtained results on Calendula (Bayat et al., 2013). According to the Munns (2002), inhibition of plant growth and development under salinity may either be because of reduction in water availability or sodium chloride toxicity. Leaf area index is one of the major factors in the growth of plants under salinity stress. As shown in Table 3, leaf areas decreased as the salinity level increased. Control plants sprayed with 25 mg · L−1 SiO2-NPs had the highest leaf area (260.8 cm2) compared to treated plants with 30 mM salinity (65.7 cm2). Hence, the positive role of SiO2-NPs treatments in modification of the adverse effects of salinity is undeniable. In other words, silicon increases the stability of cell wall by forming a layer (Marschner, 2011). In addition, SiO2-NPs particles can better affect xylem humidity and water translocation through their larger surface area through which they can improve the water uptake and cell division and elongation in flowers. Savvas et al. (2002) reported that adding Si to nutrient solution resulted in the most amount of class I flowers and ticker flower stems in gerbera. In addition, Hwang et al. (2005) demonstrated that using potassium silicate enhanced the growth and quality of cut miniature rose ‘Pinocchio’ in a rock wool culture system.

Values of electrolyte leakage and MSI are used indirectly for showing the damage to cell membrane in salinity conditions (Ali et al., 2008). Increasing in salinity level cause to decrease in cell membrane stability (30%) and subsequently increased in EL up to 83% as shown in Table 4 in controls and 30 mM salinity treated ones. However, a beneficial effect SiO2-NPs in sustainability of cell walls is quite impressive especially at higher ranges of 10 mM salinity. EL is inversely correlated with membrane stability. Using of SiO2-NPs at 50 mg · L−1 only cause to 11.8 and 45.6% decrease and increase in MSI and EL at 30 mM salinity. The effect of salinity on MSI and electrolyte leakage could be related to damage of plasma membrane, which is caused by reactive oxygen species. Probably, the most suitable factor for monitoring plant status in water deficiency can be the measurement of leaf relative water content as a physiological parameter. Relative water content decreased with increasing in salinity level as difference between the lowest (67.60%; 30 mM) and the highest (90.16%; plants sprayed with 25 mg · L−1 SiO2-NPs). Presumably, the presence of silicon residues has been found in epidermal cell walls, which are related to water loss of cuticle and extreme transpiration (Mateos-Naranjo et al., 2013). The amount of leaf chlorophyll significantly decreased when gerbera plants were exposed to salt stress. Under several salinity conditions, the severe salinity (30 mM NaCl) cause a high reduction of 40% in the leaf chlorophyll of gerbera plants against controls (Table 4). Reduction in concentration of chlorophyll is likely because of the accumulation of different salt ions and prevention of chlorophyll biosynthesis or membrane deterioration (Ashraf and Bhatti, 2000). It also may be related to the activation of chlorophyllase enzyme and consequently degraded the chlorophyll (Santos, 2004).

Effect of SiO2-NPs and salt stress on physiological and biochemical traits of gerbera cv. ‘Teera Kalina’.

Treatments MSI (%) EL RWC

Salinity (mM) SiO2-NPs (mg · L−1)
Control 0 93.13 ± 0.10 a 32.92 ± 0.90 fg 89.23 ± 0.23 ab
25 75.08 ± 0.95 cd 31.52 ± 0.72 g 90.16 ± 0.13 a
50 72.26 ± 0.90 cde 31.73 ± 0.44 g 89.83 ± 0.82 a
5 0 81.87 ± 0.90 b 36.41 ± 0.01 ef 86.07 ± 0.16 cd
25 77.54 ± 0.90 bc 34.07 ± 0.02 fg 87.23 ± 0.40 bc
50 70.78 ± 0.95 defg 33.98 ± 0.02 fg 85.56 ± 0.61 cd
10 0 71.46 ± 0.70 defg 39.66 ± 0.70 de 82.60 ± 0.32 ef
25 69.22 ± 0.20 efgh 35.75 ± 0.30 f 84.63 ± 0.31 de
50 71.61 ± 0.80 def 39.59 ± 0.90 de 81.73 ± 0.90 f
20 0 68.86 ± 0.35 efgh 51.44 ± 0.75 b 80.83 ± 0.37 fg
25 66.41 ± 0.30 efgh 45.70 ± 0.90 c 82.46 ± 0.75 ef
50 65.27 ± 0.90 gh 41.50 ± 0.70 d 81.03 ± 0.39 fg
30 0 65.59 ± 0.90 fgh 60.41 ± 0.40 a 67.60 ± 0.24 i
25 63.49 ± 0.70 h 46.33 ± 0.90 c 78.83 ± 0.62 g
50 63.73 ± 0.45 h 46.23 ± 0.60 c 74.24 ± 0.90 h
Treatments SPAD Proline (mmol · g−1) Protein (mg · g−1 FW)

Salinity (mM) SiO2-NPs (mg · L−1)
Control 0 76.40 ± 0.19 ab 2.74 ± 0.24 e 0.24 ± 0.009 a
25 77.43 ± 0.20 a 4.52 ± 0.34 e 0.25 ± 0.002 a
50 78.40 ± 0.14 a 4.40 ± 0.50 e 0.25 ± 0.005 a
5 0 74.63 ± 0.40 ab 3.63 ± 0.45 e 0.23 ± 0.007 ab
25 75.90 ± 0.50 ab 7.30 ± 0.45 e 0.25 ± 0.010 a
50 76.23 ± 0.11 ab 7.51 ± 0.50 e 0.22 ± 0.004 bc
10 0 65.93 ± 0.94 abc 13.27 ± 0.43 d 0.18 ± 0.002 def
25 70.30 ± 0.86 abc 15.81 ± 0.11 d 0.21 ± 0.002 c
50 66.93 ± 0.70 abc 13.88 ± 0.07 d 0.19 ± 0.009 cde
20 0 65.23 ± 0.21 abc 31.41 ± 0.90 ab 0.17 ± 0.007 ef
25 63.06 ± 0.22 bc 29.95 ± 0.90 b 0.20 ± 0.002 cd
50 58.13 ± 0.12 cd 23.44 ± 0.873 c 0.20 ± 0.005 cd
30 0 46.43 ± 0.91 d 36.49 ± 0.01 a 0.11 ± 0.004 h
25 56.90 ± 0.82 cd 35.56 ± 0.20 a 0.14 ± 0.002 g
50 56.36 ± 0.72 cd 32.41 ± 0.39 ab 0.16 ± 0.002 fg

Values represent means ± standard errors of three independent replications (n = 3).

Different letters within the same column indicate significant differences at p < 0.05 among the treatments, according to Duncan's multiple range test.

EL, electrolyte leakage; MSI, membrane stability index; RWC, relative water contents.

Biochemical contents and antioxidant enzyme activities of gerbera plants in response to SiO2-NPs treatment with and without salinity

The amount of proline in leaves gerbera plant under salinity increased by 32, 384, 1,046 and 1231% under 5, 10, 20 and 30 mM NaCl treatments, respectively; but incorporation of SiO2-NPs sprays on plants limited the proline accumulation. Results were in agreement with Moussa (2006) and Lee et al. (2010) in maize and soybean, respectively. Sever salinity (30 mM) cause to decrease in protein by 54% compared to controls (Table 4). It has been demonstrated that proline is a possible source of carbon and nitrogen for rapid recovery of plant after exposure to salt stress. In addition, it is a membrane and some macromolecules stabiliser as well as scavenger for reactive oxygen species. Some articles have concluded that SiO2-NPs have harmful effects, but it has also been concluded that the toxic effect of SiO2-NP could be due of an alteration in the pH of the growing media after SiO2-NP addition (Slomberg and Schoenfisch, 2012). In any case, the amount of proline in the nutrient solution increased from 2.74 to 32.41 mmol · g−1 FW as the salinity level increased, but adding SiO2-NPs to the nutrient solution prevented proline accumulation. Similar results were obtained in strawberry (Avestan et al., 2019). Since lipid peroxidation was significantly lower in gerbera plants treated with Si under salinity than in the same treated plants without Si application, SiO2-NPs have beneficial effect in preventing lipid peroxidation induced by salinity. This effect of Si was more considerable at 20 and 30 mM NaCl. Salinity caused a 54% decrease in protein compared to controls (Table 4).

Antioxidant enzyme activities play an important role as reactive oxygen species scavengers, which can improve the ability of plant tolerance under stress conditions. Following the increase in salinity, the changes in activities of SOD, GPX, APX, H2O2 and MDA had similar tendency as their activities were simulated by salt stress (Figures 3 and 4). However, the increase was higher in controls than in plants treated with SiO2-NPs. Under salt stress, the activity of APX and GPX was significantly increased after the application of SiO2-NPs (Figure 3A and B) but not in SOD, although the difference between treated and untreated plants was not significant (Figure 3C). According to Figure 3C, spray of 50 mg · L−1 SiO2 nanoparticles could suppress the increase of SOD activity in plants under 10 mM salinity. This probably indicates that plants are not affected by these stress conditions. The increase in the activity of antioxidant enzymes by silicone spray under salinity is the protective way for inhibition of oxidative stress in plants which is the first defense mechanism of salinity reduction induced upon Silicone application (Soundararajan et al., 2014). Improving in growth characteristics and nutrition uptake by supplementation of SiO2-NPs might be result of a reduction in oxidative stress as by activation of APX and GPX although the activity of SOD was unchanged. Results were in agreement with Abdul Qados (2015) in faba bean sprayed with nano silicon under salinity stress.

Figure 3

Effect of SiO2-NPs and salt stress on GPX (A), APX (B) and SOD (C) activity in gerbera cv. ‘Teera Kalina’ leaves. APX, ascorbate peroxidase; GPX, guaiacol peroxidase; SOD, superoxide dismutase.

Figure 4

Effect of SiO2-NPs and salt stress on MDA (A) and H2O2 (B) in gerbera cv. ‘Teera Kalina’ leaves. H2O2, hydrogen peroxide; MDA, malondialdehyde.

The decrease in the amount of malondialdehyde and electrolyte leakage followed by SiO2-NPs application might be due to activation of antioxidant enzymes and consequently protect the plants from oxidative stress, increase in the stability of membrane and protect plant from harmful effects of reactive oxygen species (Rubinowska et al., 2014). In addition, it seems that increase in the Ca2+ uptake can cause to protect of plant from oxidative stress.

Nutrient uptake of gerbera plants in response to SiO2-NPs treatment with and without salinity

Gerbera plants treated with SiO2-NPs had higher Ca2+ and K+ content in leaves especially at 25 mg · L−1 level of SiO2 nano particles, in comparison with other treatments, regardless of the salinity level (Table 5). Supplementation of SiO2-NPs also led to the decrease in Na+ content as compared with controls and treatments with salinity lower than 30 mM both sprayed with 25 mg · L−1 SiO2-NP were in the range of 0.64 up to 2.97 g · g−1 FW. The highest Na+ content (3.17 g · g−1 FW) was related to 30 mM salinity, whereas the least was for control plants treated with 25 mg · L−1 SiO2-NPs (0.64 g · g−1 FW). Leaf Na+ content increased from 0.89 to 3.17 g · g−1 FW and in the opposite trend K+ content decreased from 1.77 to 0.85 g · g−1 FW following the increase in salinity levels up to 30 mM. Salinity not only can disrupt K+ uptake but also might disrupt the cell membrane, thus affecting its power of ion selection (Perez-Alfocea et al., 1996). Niu et al. (2012) showed that zinnia was sensitive to salinity as plant height became shorter and more compact as well as increase in electrolyte conductivity of irrigation water. Also, dry weight of shoot in EC values of 4.2 dS · m−1 reduced by 50% and Na+ and Cl accumulated excessively, whereas Ca2+, Mg2+ and K+ did not change substantially. One of the effects of salinity is the elimination of K+ by plant roots and consequently imbalance in plant physiology since K+ is necessary to the synthesis of protein. Losses of K+ cause to reduce of plant growth (Chen et al., 2007). As shown in Table 4, SiO2-NPs can prevent protein degradation at high NaCl concentrations by up to 17 and 45% at 25 and 30 mM NaCl, respectively. The incorporation of SiO2-NPs improved the absorption of K+ and likely prevent protein degradation. The application of SiO2-NPs improved leaf potassium level under salt stress. It also significantly reduced the level of leaf Na+ and caused to improve in the K+/Na+ and Ca2+/Na+ ratios in leaves. These results are in agreement with Kafi and Rahimi (2011) on purslane and Xu and Liu (2015) an aloe. However, the highest Ca2+/Na+ and K+/Na+ ratios were related to the control plants sprayed with 25 and 50 mg · L−1 SiO2-NPs and the lower values are related to 20 and 30 mM level of salinity regardless of the SiO2-NPs treatment (Table 5).

Effect of SiO2-NPs and salt stress on nutrient uptake of gerbera cv. ‘Teera Kalina’.

Treatments Ca2+ (g · 100 g−1 FW) K+ (g · 100 g−1 FW) Na+ (g · 100 g−1 FW)

Salinity (mM) SiO2-NPs (mg · L−1)
Control 0 2.38 ± 0.07 cd 1.77 ± 0.04 bc 0.89 ± 0.02 h
25 2.69 ± 0.01 b 2.33 ± 0.06 a 0.64 ± 0.04 i
50 2.94 ± 0.02 a 1.86 ± 0.01 b 0.70 ± 0.02 i
5 0 2.22 ± 0.04 de 1.69 ± 0.02 c 1.72 ± 0.03 f
25 2.42 ± 0.05 c 1.71 ± 0.02 c 1.24 ± 0.01 g
50 2.45 ± 0.05 c 1.86 ± 0.04 b 1.29 ± 0.01 g
10 0 2.11 ± 0.04 e 1.23 ± 0.04 e 2.28 ± 0.01 d
25 2.20 ± 0.04 de 1.46 ± 0.03 d 1.96 ± 0.07 e
50 2.15 ± 0.08 e 1.50 ± 0.05 d 2.49 ± 0.03 c
20 0 1.55 ± 0.04 f 1.01 ± 0.04 fg 2.63 ± 0.06 c
25 1.59 ± 0.02 f 1.28 ± 0.02 e 2.21 ± 0.03 d
50 1.72 ± 0.03 f 1.02 ± 0.03 fg 2.23 ± 0.04 d
30 0 0.91 ± 0.08 h 0.85 ± 0.01 h 3.17 ± 0.03 a
25 1.14 ± 0.06 g 1.08 ± 0.05 f 2.97 ± 0.05 b
50 1.31 ± 0.02 g 0.93 ± 0.03 gh 2.50 ± 0.08 c
Treatments Ca2+/K+ Ca2+/Na+ K+/Na+

Salinity (mM) SiO2-NPs (mg · L−1)
Control 0 1.35 ± 0.05 cdef 2.68 ± 0.07 b 1.99 ± 0.11 c
25 1.16 ± 0.04 fg 4.22 ± 0.09 a 3.66 ± 0.32 a
50 1.57 ± 0.01 ab 4.17 ± 0.08 a 2.65 ± 0.09 b
5 0 1.31 ± 0.04 def 1.29 ± 0.05 de 0.98 ± 0.02 e
25 1.42 ± 0.04 bcde 1.94 ± 0.07 c 1.37 ± 0.04 d
50 1.31 ± 0.01 def 1.89 ± 0.06 c 1.44 ± 0.04 d
10 0 1.72 ± 0.05 a 0.92 ± 0.03 ef 0.53 ± 0.02 fg
25 1.51 ± 0.02 abcd 1.12 ± 0.04 de 0.75 ± 0.04 ef
50 1.45 ± 0.09 bcde 0.86 ± 0.03 efg 0.60 ± 0.02 fg
20 0 1.54 ± 0.02 abc 0.59 ± 0.01 fghi 0.38 ± 0.02 fg
25 1.24 ± 0.03 efg 0.72 ± 0.02 fgh 0.58 ± 0.02 fg
50 1.69 ± 0.06 a 0.77 ± 0.02 efg 0.45 ± 0.01 fg
30 0 1.06 ± 0.09 g 0.28 ± 0.03 i 0.26 ± 0.01 g
25 1.07 ± 0.09 g 0.38 ± 0.02 hi 0.37 ± 0.03 g
50 1.41 ± 0.04 bcde 0.52 ± 0.03 ghi 0.37 ± 0.02 g

Values represent means ± standard errors of three independent replications (n = 3).

Different letters within the same column indicate significant differences at p < 0.05 among the treatments, according to Duncan's multiple range test.

Ca2+, calcium; K+, potassium; Na+, sodium.

This finding means that the improving effects of SiO2-NPs were so evident in 10 mM salinity. On the other hand, salinity caused to decrease in Ca2+ content by 61%. Therefore, under salinity stress, the calcium requirement of plant is higher than those in non-saline conditions. Also, salt stress effect on leaf Ca2+/K+ ratio negatively, as decreased by 21% under 30 mM salinity, whereas in the same situation application of 25 and 50 mg · L−1 SiO2-NPs, it was reduced only by 7 and 10%, respectively.

Increased resistance to salinity levels in gerbera plant under the application of SiO2-NPs most likely was because of the reduction in Na+ uptake and detoxification of plant from Na+ by increasing in Na+ binding on cell wall (Kafi and Rahimi, 2011). Because of the same mechanisms of both Na+ and K+ uptake (Niu et al., 1995), SiO2-NPs can increase K+ uptake by suppressing Na+ uptake. It seems that silicon acts as a competitive inhibitor for Na+ therefore, using 25 mg · L−1 SiO2-NPs led to the decrease in Na+ content by 28% (control), 2% (5 mM), 14% (10 mM), 15% (20 mM) and 6% (30 mM) of salinity levels. The auxiliary effect of 25 mg · L−1 SiO2-NPs in K+ uptake in control was 31%, whereas in 30 mM salinity it was 27%. This indicates the higher effect of SiO2-NPs under stress conditions and ion homeostasis of gerbera plants was kept well. The improvement of salt stress by using SiO2-NPs treatments was accompanied with improved membrane stability, enhancing the activity of enzymes and nutrition uptake. It has been known that Si can be beneficial for some crop species. Therefore, it has been used increasingly as a supplement in hydroponic nutrient solutions (Savvas et al., 2002). Under salinity, it has been demonstrated that the beneficial effects of silicone are because of the decreased level of Na+ (Matoh et al., 1986; Bradbury and Ahmad, 1990; Liang et al., 2003), increased level of K+ (Liang et al., 1996) and enhaced photosynthesis rate in some plants (Liang, 1998; Al-Aghabary et al., 2004).

Pearson correlation analysis

Pearson correlation analysis showed that Na+ concentration was cor related with EL and MSI, positively. Similarly, a positive correlation was detected between Na+ and antioxidative enzyme activities (SOD, APX and GPX), oxidative markers (MDA and H2O2) and proline. In contrast, Na+ concentration displayed a negative correlation with morphological parameters (leaf and flower number, plant FW and DW, stem length and diameter, flower diameter and LA) (Figure 5).

Figure 5

Pearson correlation analysis of SiO2-NPs treatment and variable trait relationship in gerbera plants grown under non-saline and different saline conditions. Heatmap of Pearson correlation coefficient (r) values of variable traits, where the coloured scale indicates the positive (blue) or negative (red) correlation and the ‘r’ coefficient values (r = −1.0 to 1.0). The tested variables included are APX, ascorbate peroxidase; Ca2+, calcium; EL, electrolyte leakage; Flower D., flower diameter; Flower No., flower number; GPX, guaiacol peroxidase; H2O2, hydrogen peroxidase; LA, leaf area; Leaf No., leaf number; MDA, malondialdehyde; MSI, membrane stability index; Plant DW, plant dry weight; Plant FW, plant fresh weight; K+, potassium; Pro, proline; Pro, protein; RWC, relative water content; Na+, sodium; Stem D., stem diameter; Stem L., stem length; SOD, superoxide dismutase.

CONCLUSIONS

Salinity may have an adverse effect on plant's growth, development and even survival by causing osmotic toxicity and nutritional imbalance. Although the results indicated that gerbera can likely tolerate salinity levels up to 10 mM, and in higher salinity levels, it will be negatively affected. The findings of this experiment demonstrated that Si nano particles have positive effects on gerbera plants that are salt stressed. When 25 mg · L−1 SiO2-NPs were applied to salinity stressed plants, the content of Na+ was reduced, and the plants had better conditions; this may be the primary mechanism involved in the amelioration of salt effects. The beneficial effects of SiO2-NP on photoassimilation efficiency and plant performance at different levels of salinity have been related to 1) the prevention of photoinhibition in photosynthetic apparatus and consequently increase in photosynthesis, 2) accumulation of photoassimilates to balance cell osmotic status, 3) an increase in antioxidative enzyme activities to scavenge reactive oxygen species and 4) changes in nutrient content to increase fruit quality. Therefore, it seems reasonable to conclude that in exposure to salinity up to 30 mM reduces flower yield in hydroponic gerbera plants due to osmotic rather than ion-specific effects.

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Life Sciences, Plant Science, Zoology, Ecology, other