Next Article in Journal
Integrated Transcriptomic and Proteomic Analysis Reveals Molecular Mechanisms of the Cold Stress Response during the Overwintering Period in Blueberries (Vaccinium spp.)
Next Article in Special Issue
Genome-Wide Identification and Molecular Evolutionary History of the Whirly Family Genes in Brassica napus
Previous Article in Journal
Somatic Mutation Accumulations in Micropropagated Cannabis Are Proportional to the Number of Subcultures
Previous Article in Special Issue
Exogenous Sodium Nitroprusside Affects the Redox System of Wheat Roots Differentially Regulating the Activity of Antioxidant Enzymes under Short-Time Osmotic Stress
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Fish Waste—A Novel Bio-Fertilizer for Stevia (Stevia rebaudiana Bertoni) under Salinity-Induced Stress

1
Department of Horticulture, Faculty of Agriculture and Natural Resources, Mohaghegh Ardabili University, Ardabil 5619911367, Iran
2
Department of Horticultural Sciences and Landscape Engineering, Faculty of Agriculture, University of Tabriz, Tabriz 5166616471, Iran
3
Laboratory of Vegetable Production, Department of Crop Science, Agricultural University of Athens, Iera Odos 75, 11855 Athens, Greece
4
Department of Horticultural Sciences, Faculty of Agriculture, University of Maragheh, Maragheh 551877684, Iran
5
Department of Agricultural Sciences, Biotechnology and Food Science, Cyprus University of Technology, Limassol 3036, Cyprus
*
Authors to whom correspondence should be addressed.
Plants 2024, 13(14), 1909; https://doi.org/10.3390/plants13141909
Submission received: 3 June 2024 / Revised: 24 June 2024 / Accepted: 4 July 2024 / Published: 11 July 2024
(This article belongs to the Special Issue Mitigation Strategies and Tolerance of Plants to Abiotic Stresses)

Abstract

:
Currently, different strategies, including the application of bio-fertilizers, are used to ameliorate the adverse effects posed by salinity stress as the major global problem in plants. Fish waste is suggested as a novel bio-fertilizer to mitigate the effects of biotic and abiotic stresses. In this investigation, an experiment was conducted to investigate the effects by applying different concentrations (0, 5, 10, and 15% (v/v)) of fish waste bio-fertilizer on stevia plants grown under salt stress conditions (0, 20, 40, and 60 mM of NaCl). Results showed that salinity negatively affected growth parameters, the photosynthetic pigments, the relative water content, and the chlorophyll fluorescence parameters while increased the activity of antioxidant enzymes, total phenol, hydrogen peroxide (H2O2), malondialdehyde (MDA), proline, and total carbohydrates compared with control samples. On the other hand, the application of fish waste bio-fertilizer mitigated the effects of salinity stress by enhancing growth and mitigating stress-relative markers, especially at the highest salinity level (60 mM). Overall, fish waste bio-fertilizer could be considered a sustainable, innovative approach for the alleviation of salinity stress effects in plants and, in addition, fish waste bio-fertilizer did not cause more salinity issues, at least with the applied doses and experiment time, which is an imperative aspect.

1. Introduction

Stevia rebaudiana Bertoni (stevia) is a perennial medicinal plant belonging to the Asteraceae family. Stevia plants contain many compounds, importantly steviol glycosides (e.g., stevioside and ribosediosides A), in the leaves that are used as natural sweeteners in the food industry [1]. These natural sweeteners are 30 to 400 times sweeter than sucrose and calorie-free. More importantly, since the human body cannot digest these compounds, they are used to prevent diabetes, high blood pressure, fungal diseases, etc. Furthermore, this plant is rich in minerals, proteins, fibers, and essential oils (e.g., caryophyllene oxide and spathulenol as main constituents) [2,3].
Salinity stress, as one of the main abiotic stressors in the world, affects the crop production of most regions in all climate zones [4]. Soluble salts in saline soils are composed of several ions (Na+, Ca2+, Mg2+, Cl, SO42−, and HCO3), resulting in destructive effects in plants [5]. The adverse effects of salinity on plant growth and performance can be related to the induced osmotic stress [6] and ionic imbalance related to the high presence of sodium (Na+) and chloride (Cl) ions, leading to the reduced uptake of potassium (K+), calcium (Ca2+), magnesium (Mg2+) and nitrate (NO3) ions [7]. Furthermore, salinity leads to an excessive production of reactive oxygen species (ROS), thereby causing oxidative stress [8,9,10]. Salinity stress causes an increase in biochemical compounds, antioxidant activity, anti-inflammatory activity, and antimicrobial activity [11]. In addition, salinity has negative impacts on seed germination, photosynthesis, transpiration, chlorophyll, carotenoids, chloroplasts, PSII photosystems, and stomatal conductance [5]. Salinity decreased growth, photosynthetic pigments, and relative water content (RWC) and increased proline, total phenolic content, antioxidant activity, antioxidant enzymatic activities, H2O2, MDA, electrolyte leakage (EL), and essential oil content as well as stevioside and rebaudioside A constituents of essential oils in stevia [1]. Plants tolerate salinity by accumulating osmolytes (e.g., proline or sugar), regulating ion homeostasis, and increasing antioxidant system activity. Nevertheless, the responses and defense strategies of plants to survive and also maintain growth are extremely complex and involve multiple pathways [12].
Organic fertilizers (bio-fertilizers) reduce chemical fertilizer input and improve the chemical structure and biological activity of soils, leading to increased crop yield by assisting in nutrient uptake and ionic balance, particularly under stressful conditions [13]. Fish waste production is of global concern [14]. Fish waste has a high content of proteins, amino acids, peptides, collagen, minerals, enzymes, and other valuable compounds [15]. Therefore, it can be used as a bio-fertilizer. Fish waste as a bio-fertilizer stimulates plant growth by providing amino acids and a slow release of essential macro- and micro-nutrients, and preventing nutrient leaching [16,17]. Amino acids are key elements needed for plant growth and initiate a number of cellular processes, such as the production of indole acetic acid [18]. Fish waste bio-fertilizer contains N-P-K in a 10-6-2 ratio [19]. Fish waste bio-fertilizer increased the growth of eggplants [16]. Bio-fertilizer foliar application supplied P and K+ required for plant growth with a poor rooting system under stress conditions [20].
Fish waste production is increasing globally, leading to the disposal of a high content of nutrients and amino acids, and so the collection of the waste and production of liquid bio-fertilizer have become an ambitious project for the fish industry. Accordingly, the purpose of this study was to evaluate the effect of the foliar spraying of liquid fish waste bio-fertilizer, as a food supplement, on key morphophysiological and biochemical characteristics of stevia plants grown under non-stress and salinity stress conditions. To the best of our knowledge, inadequate information is available about the effect of fish waste bio-fertilizer on salinity conditions, likely marking the current study as a step forward toward its effect on plants under stress condition.

2. Results

2.1. Morphological Traits

Salinity stress significantly (p < 0.05) decreased plant growth traits (Figure 1A–F). Fish waste bio-fertilizer significantly (p < 0.05) increased root length (Figure 2A) and leaf area (Figure 2B) at 10 and 15% concentrations, and branches (Figure 2C) and fresh and dry weight of shoots (Figure 2D,E) at a 15% concentration. According to the results, fish waste bio-fertilizer at a concentration of 15% achieved optimal results, leading to an increase of 14.54% in fresh weight of shoots, 14.44% in dry weight of shoots, 12.64% in leaf area, and 14.27% in root length compared with control samples (Table S1). Figure 3 presents salinity effects on plant morphological traits (Figure 3A) as well as fish waste bio-fertilizer on the traits under 60 mM salinity (Figure 3B).

2.2. Photosynthetic Pigments and Fv/Fm

Salinity at a 60 mM concentration caused a decrease of 61.27% in Chl a (Figure 4A), 65.85% in Chl b (Figure 4B), 62.46% in total Chl (Figure 4D), 44.84% in carotenoid (Figure 4C), and 15.78% in Fv/Fm (Figure 4E) in comparison with control. Fish waste bio-fertilizer, at all applied concentrations, enhanced total Chl and Chl a, while Fv/Fm increased using 10 and 15% concentrations under non-stress condition. Under 20 mM NaCl, higher Chl b and carotenoid content was recorded using 10 and 15% bio-fertilizer. Under 40 mM NaCl, all concentrations of fish waste bio-fertilizer increased total Chl and Chl b, while 10 and 15% concentrations enhanced Chl a content. Under 60 mM NaCl, all concentrations of bio-fertilizer enhanced Chl a, Chl b, and Fv/Fm, while 10 and 15% increased total Chl and carotenoids (Table S2).

2.3. Relative Water Content (RWC)

All salinity levels significantly (p < 0.05) reduced RWC compared with the control; the higher the salinity concentration, the lower the RWC. Salinity at 60 mM NaCl decreased RWC by 40.52% (Figure 5A). Fish waste bio-fertilizer at 10 and 15% significantly enhanced the RWC of stevia compared with the control (Figure 5B).

2.4. Total Carbohydrate Content

Salinity at 40 and 60 mM NaCl significantly enhanced total carbohydrate content compared with the control. Contrarily, the application of fish waste bio-fertilizer had no effects on the content under non-stress and 20 and 40 mM NaCl stress conditions. On the other hand, bio-fertilizer application significantly increased total carbohydrate content at 10 and 15% concentrations under 60 mM salinity stress (Figure 6).

2.5. Cellular Damage Indicators

Salinity at all applied concentrations caused significant (p < 0.05) enhancement in H2O2 (Figure 7A), MDA (Figure 7B), and electrolyte leakage (EL) (Figure 7C). The bio-fertilizer had no effect on H2O2 and MDA content under non-stress conditions, while 10 and 15% concentrations of fish waste bio-fertilizer led to a significant reduction in electrolyte leakage (EL). Under 20 and 40 mM NaCl, the bio-fertilizer applied at 10 and 15% concentrations significantly decreased H2O2, while no effect was observed in MDA content. Under 60 mM NaCl, all applied concentrations of the bio-fertilizer significantly lowered H2O2 and MDA content (Figure 7).

2.6. Proline and Total Phenolic Content

Salinity, at all applied concentrations, increased proline (Figure 8A) and total phenols (Figure 8B) compared with the control. Salinity at 60 mM NaCl increased total phenols by 54.67% and proline by 68.88% compared to unstressed control. Fish waste bio-fertilizer had no effect on the phenol content under non-stress conditions, while a 15% concentration significantly enhanced proline content (Figure 7A). Under 20 and 40 mM NaCl, 15% bio-fertilizer enhanced total phenols, while both 10 and 15% concentrations caused an increase in total phenols under 60 mM NaCl (Figure 8).

2.7. Antioxidant Enzymatic Activities

All salinity levels significantly (p < 0.05) enhanced enzymatic activities as compared with to the control (Figure 9). CAT activity in leaf tissues under all NaCl concentrations significantly increased compared to the untreated control. The maximum and minimum activities of CAT were recorded in 60 mM NaCl-treated plants under 10 and 15% fish waste bio-fertilizer concentration application and control samples, respectively (Figure 9B). In regard to APX, the enzymatic activity significantly increased under 20, 40, and 60 mM NaCl compared with the control. Therefore, increasing NaCl levels resulted in increasing APX activity. The highest activity among treatments was achieved at 10% fish waste bio-fertilizer concentrations under 60 mM NaCl, while the lowest was in all bio-fertilizer-treated plants under non-stress conditions (Figure 9A). The highest and lowest POD activities were observed in 10 and 15% bio-fertilizer-treated plants under 60 mM NaCl and non-stress conditions, respectively. Similar to APX and CAT, increasing salinity levels led to increasing POD activity, under no fish waste bio-fertilizer treatment. Fish waste bio-fertilizer treatments increased POD activity under both non-stress and stress conditions, with these increases being higher than non-treated plants at the same conditions (Figure 9C). Overall, fish waste bio-fertilizer at a 10% concentration generally increased antioxidant enzymatic activity under stress conditions compared with plants at similar conditions without receiving any bio-fertilizer treatments.

2.8. Elemental Composition of Shoots and Roots

Salinity stress increased the Na+ content of shoots and roots (Figure 10) and reduced the Ca2+ shoots and K+ roots contents (Figure 10), with increasing NaCl concentrations showing a positive correlation with Na+ content, and a negative correlation with Ca2+ and K+ contents, respectively. The bio-fertilizer had no effect on Na+ content in shoots and roots, Ca2+ content in shoots, or K+ content in roots (Figure 10). Salinity stress reduced the Ca2+ roots and K+ shoots contents (Figure 11). Whereas the bio-fertilizer enhanced Ca2+ content in roots at all concentrations and K+ content in shoots at 10 and 15% bio-fertilizer concentrations under non-stress conditions (Figure 11). Under 20 mM NaCl, the bio-fertilizer at all applied concentrations decreased Na+ content in roots, whereas K+ content increased in roots following an application at a 15% concentration. Under moderate salinity levels, fish waste bio-fertilizer decreased Na+ content in shoots at all applied concentrations, while application at a 15% concentration decreased Na+ content in roots and increased Ca2+ content in shoots (Figure 10). Under severe salinity levels, all concentrations of the bio-fertilizer reduced Na+ content in shoots and roots and enhanced Ca2+ content in shoots and K+ content in roots (Table S3).

2.9. Principal Component Analysis (PCA)

To demonstrate the negative impact of salinity stress in Stevia rebaudiana Bertoni plants with the application of fish waste bio-fertilizer, a principal component analysis was performed (Table 1, Figure 12). For the first two components, i.e., PC1 and PC2, cover was about 92.83% of the overall data base. Here, component PC1 contributes about 84.78%, correlating (biochemical and growth traits) significantly mainly with the activity of antioxidant enzymes (APX, POD, and CAT), total phenol content, carbohydrate, proline, malondialdehyde, chlorophyll b, relative water content, electrolyte leakage and growth traits (LN, SDW, RFW, B, LA, RDW, SFW, and RL), Na+ and Ca2+ contents in the roots, and K+ contents in the shoot. On the other hand, the second component, PC2, contributes 8.05%, correlating (photosynthetic pigments) mainly with the activity of chlorophyll a, total chlorophyll, carotenoids, Fv/Fm, plant height, Na+ and Ca2+ contents in the shoots, and K+ contents in the root. Similarly, the principal component analysis revealed that different physiological and biochemical parameters correlated with different growth traits.

2.10. Correlation Analysis

Pearson’s correlation was performed among different photosynthetic pigments, Fv/Fm and the relative content of water and Na, K, and Ca in roots and shoots in the present work. Chl a, Chl b, total Chl, carotenoid content, RWC, and Fv/Fm content are positively correlated with K and Ca in roots and shoots and negatively correlated with Na in roots and shoots at a significant level (p < 0.05) (Table 2).

3. Discussion

In the current study, the effects of fish waste bio-fertilizer were investigated on the growth performance and physiological and biochemical characteristics of stevia plants subjected to salinity stress conditions.
According to the results, salinity stress mostly caused reduction in all morphological parameters whereas fish waste bio-fertilizer particularly at the 15% level increased these parameters, resulting in better plant growth. Salinity stress reduces photosynthesis and chlorophyll pigments, relative water content, and the absorption of important mineral ions including N and K, and simultaneously increases Na+ accumulation, all of which lead to a decrease in growth [21,22]. In fact, salinity has a negative effect on the growth and performance of plants by creating ionic toxicity, osmotic stress, and nutritional imbalance. In addition, salinity affects the availability, absorption, and transport of nutrients and water, and cell division, resulting in a decrease in growth previously confirmed in some plants [6,22,23,24], all in line with the current findings. Fish waste bio-fertilizer contains amino acids, organic acids, lactic acids, and acetic acids, all of which activate bacteria such as rhizobium and bacillus with the ability to dissolve P and stabilize N, Ca2+, K+, Na+, Mg2+, Zn2+, and Mn2+ contents that then increase organic compounds and siderophore photosynthesis and chlorophyll pigments and synthesis for iron (Fe) sequestration. Increased access to the mentioned elements enhances photosynthesis, chlorophyll pigments, and plant growth, and, as a result, increases plant fresh weight [16]. Application of rural slaughterhouse waste, as a bio-fertilizer, improved plants growth when applied after planting (at two and six weeks) [25]. Fish waste bio-fertilizer causes the release of fulvic acid and humic acid, the decomposition of which creates auxin, as well as the increase in P and K and other nutrient absorption. The application of fish waste bio-fertilizer increased the growth of red chili and tomato plants [26], and the root length of Solanum melongena [16], onion [27], and Prunus persica [28], in line with the current results. Salinity reduced the amount of photosynthetic pigments and Fv/Fm in stevia plants, while fish waste bio-fertilizer improved their amounts probably via preventing pigment decomposition. The chlorophyll fluorescence index is one of the most important factors to evaluate photosynthetic efficiency due to its sensitivity to early plant responses to stress conditions. According to our findings, a decrease in the Fv/Fm index was reported in sweet pepper and wheat under salinity stress [28]. Salinity damages chloroplast membranes and the electron transport chain in photosystem I, and reduces the absorption of Mg and K, resulting in negative feedback on chlorophyll fluorescence parameters [29]. Salinity-induced Cl- ions have destructive impacts on the reaction center of photosystem II (PSII), the quinone receptor, and the oxygen transport system. This destructive impacts results in a decrease in light energy of the reaction center and photosynthetic pigments and finally decrease photosynthesis process. Salinity-induced Cl- ions have destructive impacts on the reaction center of photosystem II (PSII), the quinone receptor, and the oxygen transport system, which then results in a decrease in light energy of the reaction center and photosynthetic pigments and process. Salinity causes osmotic tension via producing reactive oxygen species (ROS) through causing a high concentration of Na+ in plant tissues that decreases CO2 and finally photosynthetic processes. Moreover, salinity increases the activity of chlorophyllase, the enzyme involved in the decomposition of photosynthetic pigments [30] and damages chloroplasts [31].
There was a negative correlation between the increase of Na+ ions and the amount of photosynthetic pigments. Lower chl content during salinity stress was identified as a good indicator of the sensitivity of stevia plants to salinity conditions because it connotes damage in the chloroplast membranes and oxygen transport system, and finally a reduction in photosynthesis [32]. The negative effect of salinity on photosynthetic pigments and processes was previously confirmed in several plant species [22,24,30,33].
There is a positive correlation between the increase in Ca2+ and K+ ions and the amount of photosynthetic pigments. Higher chl content during the application of fish waste bio-fertilizer was identified as a good indicator of the fact that the application of the bio-fertilizer is effective under salinity conditions. Ca enhances the number of leaves and maintains the pH of the cell for electron transports in chloroplast membranes, and finally maintains photosynthesis and reduces oxygen species (ROS). K causes an increase in the carbon assimilation rate and chl metabolism, and increases photosynthesis rate [34]. In line with the current findings, the positive effect of K and Ca on photosynthetic pigments was reported in Wheat [34].
Fish waste bio-fertilizer enhances the production of antioxidants, vitamins, proteins, and alkaloids in plants thanks to its amino acid content such as glycine and glutamine, as precursors for Chl biosynthesis [35]. Moreover, this bio-fertilizer enhances nutrient absorption, especially P [26], and metabolic processes of the plant that result in increased leaf surface area and finally photosynthetic pigments and photosynthesis. As mentioned, the bio-fertilizer is rich in Mg and N, two main elements of Chl [16]. The amino acid glutamate in fish waste bio-fertilizer increases vegetative growth by increasing the synthesis of chlorophyll and other amino acids (aspartic acid, serine, alanine, lysine, and proline). This amino acid increased vegetative growth in soybean plant [36]. The amino acid alanine found in fish waste bio-fertilizer has a dual function between carbon and nitrogen metabolism, and, finally, this amino acid is associated with increasing chlorophyll synthesis and photosynthesis [37]. The amino acid glutamine in fish waste fertilizer increases nitrogen uptake in rice plants under cadmium stress by increasing plant growth regulators [38]. Therefore, fish waste bio-fertilizer enhanced the photosynthetic pigments and processes thanks to the mentioned reasons formerly confirmed [16,39]. That could be observed under salinity conditions. In line with the current findings, the positive effect of fish waste bio-fertilizer was reported on the leaf area and photosynthetic pigment biosynthesis of pumpkin [40] and cucumber [40] plants.
Salinity led to a reduction in RWC due to an imbalance in ions and osmotic pressure. In addition, salinity caused an enhancement in proline and sugar. On the other hand, the bio-fertilizer improved RWC as well as the proline and sugar content of stevia plants. Plant relative water content (RWC) is a vital physiological indicator in plants. Salinity stress disturbs the reasonable absorption of water and concomitantly osmotic equilibrium in the root zone, and, as a result, plant RWC decreased as previously reported [41,42]. The fish waste bio-fertilizer has a high K+ content, an element with positive impacts on the osmotic potential and root growth that leads to increased water absorption [43]. The amino acids glycine and proline in fish waste bio-fertilizer increase the osmotic potential of plant cells, thereby leading to increased water absorption [44], in line with the current findings.
Plants commonly enhance the release of compatible solutes such as proline and sugars in response to stress-induced reduced osmotic potential and cellular water [45]. Proline is an osmolyte capable of neutralizing ROS over stress conditions. Proline and carbohydrates increase the activity of the Rubisco enzyme, the primary carboxylase of photosynthesis which then protects photosynthesis, cell expansion, membrane stability and flexibility, and plant growth under stress conditions [21]. Moreover, the biosynthesis pathways of proline and sugar are closely tied together due to glutamate production, and an increase in proline biosynthesis leads to sugar production and vice versa. Salinity caused an increase in sugar and proline in some plants [22,24,46]. Mostly, an increase in proline synthesis and a decrease in its oxidation are the reasons for proline accumulation under salinity stress [47]. A high concentration of Na+ reduces the absorption of Ca2+, Mg2+, and K+, leading to an enhanced Na+/K+ ratio. On the contrary, fish waste bio-fertilizer has a high K+ content that results in a reduced Na+/K+ ratio and then better stomatal performance. As a result, stomata open and CO2 diffusion to plant tissues increases, and then the photosynthesis rate is enhanced, which finally leads to carbohydrate (sugar) production [43], as previously confirmed in spinach plants [19]. In addition, the amino acid leucine in fish waste bio-fertilizer acts as a precursor for alanine synthesis in plants. In plants, alanine is important for the synthesis of pantothenate and subsequently coenzyme A, an essential coenzyme in carbohydrates. The carbohydrate produced in the plant plays a key role in the opening and closing of the stomata [48]. An increase in carbohydrate production by using the amino acids leucine and alanine has been reported in wheat plants [48], in line with the current results.
The enhanced amount of proline after the bio-fertilizer application referred to its high N and P content that helped mitigating the salinity effects [49]. In addition, fish waste fertilizer contains proline, which acts as an osmotic protector in abiotic stress and also as a metal chelator [36]. Proline and glutamine make the tomato plant resistant to salt stress [44], and all mentioned studies and explanations are in accordance with the current findings.
Salinity increased the total phenols and the bio-fertilizer increased the content even more in the stevia plant. Under stress conditions, plants activate enzymatic and non-enzymatic antioxidant systems to lessen the stress impacts. Phenolics are non-enzymatic antioxidants whose amounts are enhanced under salinity to neutralize ROS and prevent the decomposition of hydroperoxide [50]. An increase in phenols was previously reported in some plants under salinity conditions [51,52], as observed in the current study. Fish waste bio-fertilizer contains some phenol- and flavonoid-based compounds that could stimulate phenolic content in the plant [53]. Also, the amino acid phenylalanine in fish waste fertilizer increases the phenolic compounds of the plant and increases the antioxidant capacity through the shikimic acid pathway. The production of phenolic compounds from the amino acid phenylalanine has been observed in grape plants [54], in line with the current findings. Salinity increased electrolyte leakage (EL), MDA, and H2O2 and the application of fish waste bio-fertilizer reduced their amounts. Normally, plant cells produce small amounts of H2O2 and this creates a defense mechanism in the plant. Salinity causes oxidative stress, leading to ROS and H2O2 high production and accumulation which then damages membranes and enhances electrolyte leakage (EL) and MDA [22,24]. An increase in MDA demonstrated the plant’s incapability to remove ROS and H2O2 since ROS and H2O2 accumulation led to the peroxidation of fats, the deactivation of enzymes, damage to nucleic acids, and the destruction of cell membranes. Salinity caused the conversion of superoxide radical (O2) to H2O2 inside the cell, which hinders the Calvin cycle and finally the activity of antioxidant enzymes (e.g., CAT and SOD). Next, H2O2 prevents sugar biosynthesis in chloroplasts [45]. Salinity increased MDA content in soybean [55] and stevia [2] and H2O2 content in basil [56] and wheat [57]. An increase in H2O2 resulted in enhanced electrolyte leakage (EL) [24,58]. An increase in salinity resulted in enhanced MDA, which was additionally confirmed in sweet basil [59,60]. P content in the bio-fertilizer increases the production of phospholipids that strengthen the cell membranes and thus reduce MDA and H2O2 [26]. Also, glycine and proline in fish waste fertilizer increase the stability of the two layers of the plasma membrane by increasing the activity of catalase and superoxide dismutase enzymes and regulating the peroxidation of lipids and homeostasis of ions. Glycine treatment increased salinity tolerance in safflower, reduced MDA and H2O2, and improved homeostasis [61], which could explain the current results. Salinity enhanced antioxidant enzymes (POD, CAT, and APX) and fish waste bio-fertilizer increased their activities further. Under salinity conditions, plants increase several antioxidant enzymes’ activities (e.g., POD, CAT, and APX) to neutralize salinity-induced ROS effects [62], as was formerly confirmed [22,24,63,64]. The nutrient content of the bio-fertilizer, especially C, N, and P, as well as the amino acids, increased the antioxidant enzymes’ activities [26] like CAT and POD in lettuce and cowpea [13,39]. N present in fish waste bio-fertilizer is used as a precursor for the production of protein and antioxidant enzymes under salinity conditions. Arginine, as an amino acid in the bio-fertilizer, is involved in salinity stress tolerance by producing spermidine (a polyamine) or nitrate reductase (reducing nitrate to nitrite) [65]. Different amino acids, such as the amino acid proline found in fish waste bio-fertilizer, play a key role in the antioxidant defense system and the production of various enzymes in stressful conditions [36]. The positive effects of fish waste bio-fertilizer have been proven in this regard [66], all in line with the current results.
The current results demonstrated that salinity increased Na+ and reduced K+ and Ca2+ contents of stevia plants, as previously confirmed [1,28,41,67]; on the contrary, the application of fish waste bio-fertilizer reduced Na+ and increased K+ and Ca2+ contents. Under salinity, H+-ATPases of the plasma membrane create a H+ gradient that provides the necessary energy for the secretion of K+ via the H+/K+ antiport and thereby ensures Na re-absorption [68]. Salinity additionally causes osmotic pressure in the rhizosphere soil solution that, as a result, decreases the uptake of water and minerals, (e.g., K+ and Ca2+) due to the antagonistic effect [69]. It seems that the bio-fertilizer reduced Na+ accumulation in the aerial parts through Na+ removal from the xylem [70]. Thanks to the high solubilization and availability of the Ca2+ and K+ contents of the fish waste bio-fertilizer, its application could compensate for the lack of these elements caused by salinity [15]. The bio-fertilizer application increased N, P, K, and Ca in spinach [19], in line with the current results.
The PCA analysis showed that the measured traits were divided into two principal components. The first one, PC1, included biochemical and morphological traits and the second principal component, PC2, contained physiological traits. The plot also showed a high correlation between physiological and morphological traits.
PCA was also identified for the assessment of stress conditions in crop species such as wheat [71]. These principal components were most likely to have the most effect on the overall variation of the data set and could be identified as significant contributors to the salinity response in various plants. In other words, these components demonstrated the strongest association with salinity stress and the modulator of stress. These statistical tools allow the identification of probable components and associations among accessions and traits [71].

4. Materials and Methods

This study was conducted in the research greenhouse of the Faculty of Agriculture, Mohaghegh Ardabili University (38 2514′ N; 48), in a factorial experiment, and was based on a completely randomized design with three replications in the spring-summer of 2021. The first factor was salinity stress at four levels (0, 20, 40, and 60 mM NaCl) and the second factor was liquid fish waste bio-fertilizer (foliar application) at four levels (0, 5, 10, and 15% (v/v)). The fish waste of Hypophthalmichthys molitrix (head, tail, and fin) was purchased from local fishmongers in Ardabil city. After washing, the waste was dried in the shade and then ground, while the resulting powder was autoclaved for 20 min. After mixing the dry material with distilled water at a ratio of 1:5, 30 mL protein-hydrolyzing bacteria (Bacillus subtilis) and 150 g sugar were added and incubated at 25 °C for two weeks according to [72]. Finally, membrane filters (Filtration-Micro MF) were used for separating the liquid phase, and then free amino acids (Table 3) as well as an elemental analysis (Table 4) of the total liquid fish bio-fertilizer were measured using HPLC.
Stevia seedlings (Stevia rebaudiana Bertoni) were purchased from a medicinal plant greenhouse in Shiraz city and planted in 10 L pots containing a mixture of cocopeat and perlite (1:1). The plants were first irrigated with half-strength Hoagland’s solution (4 weeks) and then irrigated with full-strength nutrient solution (up to harvest: 400 mL every day). The hydroponic solution contained the following macronutrients (mg/L): nitrate (N) 210, potassium (K) 204, calcium (Ca) 140, sulphur (S) 64, magnesium (Mg) 48, phosphorus (P) 31, and micronutrients (mg/L): iron (Fe) 4, boron (B) 0.5, manganese (Mn) 0.5, copper (Cu) 0.1, zinc (Zn) 0.1, and molybdenum (Mo) 0.05. The half-strength Hoagland’s solution had a conductivity of 1.022 dS/m. The pH of the Hoagland’s solution was sustained at 5.97 throughout the experiment. Following plant establishment (two weeks after the transferred seedlings to pots), salinity was applied by adding the mentioned concentrations of NaCl (0, 20, 40, and 60 mM) to the nutrient solution. The plants were first irrigated with half NaCl concentration (7 days) and then irrigated with the desired NaCl concentrations (0, 20, 40, and 60 mM) until harvesting the plant. After the initiation of salinity treatments, plants were grown for 8 weeks. The leaves (aerial parts) were sprayed with the mentioned concentrations of fish waste bio-fertilizer (0, 5, 10, and 15% along with Tween 0.1%) two weeks after salinity application 4 times, with an 8-day interval. The control plants were irrigated with the nutrient solution in the same manner up to the harvest and treated with any treatments. The plants were harvested 80 days after planting and samplings were performed through the leaves. Each measurement was performed in triplicate.

4.1. Morphological Parameters

Shoot height, root length, fresh and dry weights of roots and shoots, number of leaves, branches, and leaf area were recorded as morphological parameters. To measure dry weight, the plant materials were kept at 70 °C for 72 h in a drying oven. Ten leaves were selected of random from each replicate to measure leaf area using Pamwin software (PAM 2500).

4.2. Photosynthetic Pigments and Chlorophyll Fluorescence Parameter

Photosynthetic pigments and carotenoids were measured according to the method described in [73]. For this purpose, 0.1 g of fresh leaves was homogenized with 5 mL of acetone (80%) and then the obtained mixture extract was centrifuged at 10,000 rpm for 10 min. Using a UV-V device (Hitachi U-2910, Tokyo, Japan), the absorption of the samples was recorded at wavelengths of 470, 646.8, and 663.2 nm to determine carotenoids and chlorophyll (Chl a and Chl b), respectively, based on the following formulas:
Chl a = (19.3 × A663.2 − 0.86 × A646.8) [V/100 × W]
Chl b = (19.3 × A646.8 − 3.6 × A663.2) [V/100 × W]
Carotenoids = [100(A470) − 3.27 (chl b)]/227
ChlTotal = Chl a + Chl b
Where V is the volume of the extract and W is the weight of fresh material.
The chlorophyll fluorescence parameter (Fv/Fm) was measured using a fluorometer (model OS-30p) after a 20 min adaption of leaves in the dark.

4.3. Relative Water Content (RWC)

Relative water content was measured according to the method described in [74]. For this purpose, three young and developed leaves from each pot were weighed (FW) after harvesting. The leaves were then placed in water for 24 h, in darkness and in a refrigerator; then, turgid weight (TW) was measured. At that time, the leaves were dried in an oven at 70 °C for 48 h inside paper envelopes to obtain their dry weight (DW). Relative water content was calculated using the following formula:
RWC% = [(FW − DW)/(TW − DW)] × 100

4.4. Soluble Carbohydrates

The amount of soluble carbohydrates was measured using anthrone reagent [75]. For this purpose, 0.1 g of fresh leaves was homogenized with 5 mL ethanol (80%) and placed in a hot water bath (95 °C, 10 min). The resulting suspension was centrifuged at 10,000 rpm for 10 min. Then, 3 mL of anthrone reagent was added to 100 µL of prepared extract and the absorbance was recorded at 620 nm using a UV-V spectrophotometer (Hitachi U-2910, Tokyo, Japan). Finally, glucose concentration was determined using a standard curve.

4.5. Total Protein Content

To assay the concentration of protein in stevia extracts, the wet leaves of samples were homogenized by 3 mL of sodium phosphate buffer (pH = 6.8). The samples were centrifuged at 13,000 rpm for 15 min. The reaction mixture contained 100 μL of enzyme extract and 900 μL of Bradford reagent. The reaction was measured at a wavelength of 595 nm [76].

4.6. Hydrogen Peroxide (H2O2)

H2O2 content was determined first by homogenizing leaf tissues (0.1 g fresh weight) in 2 mL of trichloroacetic acid (TCA, 0.1% (w/v)). Then, 500 μL of the extract was added to the reaction mixture containing 500 μL of phosphate buffer (100 mM, pH = 7) and 2 mL of potassium iodide (1 mM). Lastly, the absorbance was measured at 620 nm using a spectrophotometer [77].

4.7. Malondialdehyde (MDA)

To measure MDA, 0.5 g of fresh leaves was homogenized in 6 mL of trichloroacetic acid (1% (w/v)) and then centrifuged. Next, the supernatant was separated and 2 mL of thiobarbiotic acid solution was added and then centrifuged (10,000 rpm, 10 min). The absorption was recorded at 532 nm and 600 nm and converted to the exact amount [78].

4.8. Electrolyte Leakage (EL)

The method of [79] was used to measure electrolyte leakage (EL). Based on this method, EL was determined using an electrical conductivity meter (Hanna, HI98192, Hanna Instruments, Inc., Woonsocket, RI, USA). The initial electrical conductivity (EC1) was recorded after washing the discs (0.5 cm diameter) of leaves three times with deionized water and incubating them at ambient temperature (24 h). The final electrical conductivity (EC2) was measured after incubating the samples in a water bath (95 °C, 20 min) and cooling down the samples at 25 °C. Lastly, electrolyte leakage EL was calculated from the following equation.
EL (%) = (EC1/EC2) × 100

4.9. Proline Content

To measure proline content, 0.1 g of fresh leaf tissues was homogenized in 5 mL of sulfosalicylic acid) 3% (w/v)) and centrifuged. The reaction mixture included 2 mL of extract, 2 mL of ninhydrin acid, 2 mL of acetic acid, and toluene. The absorbance was measured at 520 nm using a spectrophotometer (Hitachi U-2910, Tokyo, Japan) [80].

4.10. Total Phenolic Content

Phenolic content was determined through homogenizing leaf tissues (0.2 g of fresh weight) in 2 mL of ethanol (70%), kept for 24 h in the dark at 4 °C. Then, to 500 µL of extract, 500 µL of ethanol (96%) and distilled water (1.5 mL) were added; then, Folin–Ciocalteu reagent and sodium carbonate were mixed with the mixture. Finally, the absorbance was measured at 725 nm with the spectrophotometer [81].

4.11. Activity of Antioxidant Enzymes

After homogenizing leaves (0.5 g) with potassium phosphate buffer (pH 6.8, 10 mM), the extract was centrifuged (6000 rpm, 20 min) and the supernatant was used for the assay of the enzymatic activities.

4.11.1. Peroxidase Enzyme (POD)

To assay POD activity, the reaction mixture contained 2.9 mL of sodium phosphate buffer (100 mM), guaiacol (100 mM), and 50 μL of enzyme extract. The reaction was initiated at a wavelength of 470 nm by the addition of H2O2 (20 mM) after 60 s. A blank sample was prepared without enzyme extract [82].

4.11.2. Catalase (CAT)

CAT activity was measured according to the method described in [83]. The reaction mixture consisted of 2.5 mL of potassium phosphate buffer (100 mM, pH = 7), H2O2 (5 mM), and 60 μL of enzyme extract. The reduction in absorbance was measured by the degradation of H2O2 at 240 nm using the spectrophotometer.

4.11.3. Ascorbate peroxidase (APX)

The reaction mixture for the APX assay consisted of potassium phosphate buffer (50 mM, pH = 7), 100 μL of enzyme extract, ascorbic acid (50 μM), and H2O2 (1.5 mM), and the absorbance was recorded at 290 nm using the spectrophotometer [84].

4.12. Sodium (Na), Potassium (K), and Calcium (Ca) Content of Shoots and Roots

To measure the amount of macronutrients (potassium, K; calcium, Ca; and sodium, Na), stevia shoots and roots were ashed in an oven at 550 ± 25 °C. White ash was digested in 10 mL of concentrated hydrochloric acid (HCl) and brought up to a volume of 100 mL for the measurement of Na+, potassium (K), and calcium (Ca). Sodium and potassium concentrations were quantified using a flame photometer. Ca concentration was recorded with an atomic absorption instrument [85].

4.13. Statistical Analysis

Data were analyzed using SAS 9.1 software by analyzing the means using Duncan’s multiple range test, with a significant difference level at p < 0.05.

5. Conclusions

In spite of the fact that fish waste can be used as a bio-fertilizer, little research has been conducted on its use to lessen the effects of various stress conditions. Accordingly, the current study aimed to shed light on the application of fish waste as a bio-fertilizer on stevia plants under salinity stress. The bio-fertilizer increased morphological parameters, photosynthetic pigments, Fv/Fm, RWC, proline, phenols, and antioxidants, and reduced sugar, EL, MDA, and H2O2. In fact, the presence of different amino acids and nutritional elements in fish waste bio-fertilizer caused an enhancement in antioxidant enzyme activities and a reduction in the salinity-induced oxidative damages in stevia plants. The bio-fertilizer, particularly at a 15% concentration, could be introduced as the best dose based on the measured parameters to lessen salinity effects. Hence, fish waste bio-fertilizer could be considered an effective bio-fertilizer to apply on plants under different stress conditions to mitigate stress effects through a safe and environmentally friendly method. In addition, fish waste bio-fertilizer did not cause more salinity issues, at least with the applied doses and experiment time, which is an imperative aspect.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/plants13141909/s1, Table S1: Mean comparisons of salinity stress and fish waste bio-fertilizer on morphological traits of Stevia rebaudiana Bertoni. Same letters indicate no significant differences (p < 0.05) based on Duncan’s test; Table S2: Mean comparisons of salinity stress and fish waste bio-fertilizer on proline, electrolyte leakage (EL) and relative water content (RWC) of Stevia rebaudiana Bertoni. Same letters indicate no significant differences (p < 0.05) based on Duncan’s test; Table S3: Effect of salinity stress and fish waste bio-fertilizer on shoot potassium (K) and root calcium (Ca) of Stevia rebaudiana Bertoni. Same letters indicate no significant differences (p < 0.05) based on Duncan’s test.

Author Contributions

Conceptualization Z.M. and B.E.; methodology, Z.M. and R.A.; software, Z.M. and B.E.; investigation, Z.M.; data curation, Z.M., R.A., G.N., and B.E.; formal analysis, B.E.; writing—original draft preparation, Z.M.; writing—review and editing, Z.M., B.E., R.A., S.P., G.N., G.G. and V.F.; project administration, B.E.; funding acquisition, V.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

Data will be made available upon request.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Sheikhalipour, M.; Esmaielpour, B.; Gohari, G.; Haghighi, M.; Jafari, H.; Farhadi, H.; Kulak, M.; Kalisz, A. Salt Stress Mitigation via the Foliar Application of Chitosan Functionalized Selenium and Anatase Titanium Dioxide Nanoparticles in Stevia (Stevia rebaudiana Bertoni). Molecules 2021, 26, 4090. [Google Scholar] [CrossRef] [PubMed]
  2. Gerami, M.; Majidian, P.; Ghorbanpour, A.; Alipour, Z. Stevia rebaudiana Bertoni responses to salt stress and chitosan elicitor. Physiol. Mol. Biol. Plants 2020, 26, 965–974. [Google Scholar] [CrossRef] [PubMed]
  3. Bahari Saravi, H.; Gholami, A.; Pirdashti, H.; Firouzabadi, M.B.; Asghari, H.; Yaghoubian, Y. Improvement of salt tolerance in Stevia rebaudiana by co-application of endophytic fungi and exogenous spermidine. Ind. Crops Prod. 2022, 177, 114443. [Google Scholar] [CrossRef]
  4. Evelin, H.; Devi, T.S.; Gupta, S.; Rupam Kapoor, R. Mitigation of Salinity Stress in Plants by Arbuscular Mycorrhizal Symbiosis: Current Understanding and New Challenges. Front. Plant Sci. 2019, 10, 470. [Google Scholar] [CrossRef]
  5. Arif, Y.; Singha, P.; Siddiquia, H.; Bajguzb, A.; Hayata, S. Salinity induced physiological and biochemical changes in plants: An omic approach towards salt stress tolerance. Plant Physiol. Biochem. 2020, 156, 64–77. [Google Scholar] [CrossRef] [PubMed]
  6. Giuffrida, F.; Graziani, G.; Fogliano, V.; Scuderi, D.; Romano, D.; Leonardi, C. Effect of nutrient and NaCl salinity on growth, yield, quality and compotion of pepper growth in soilless closed system. J. Plant Nutr. 2014, 37, 1455–1474. [Google Scholar] [CrossRef]
  7. Sapre, S.; Gontia-Mishra, I.; Tiwari, S.H. Plant Growth-Promoting Rhizobacteria Ameliorates Salinity Stress in Pea (Pisum sativum). J. Plant Growth Regul. 2021, 41, 647–656. [Google Scholar] [CrossRef]
  8. Ramadan, A.A.; Ebtihal, M.; Elhamid, A.; Mervat, S.h. Comparative study for the effect of arginine and sodium nitroprusside on sunflower plants grown under salinity stress conditions. Bull. Natl. Res. Center 2019, 43, 118. [Google Scholar] [CrossRef]
  9. Hasanuzzaman, M.; Bhuyan, M.H.M.B.; Zulfiqar, F.; Raza, A.; Mohsin, S.M.; Al Mahmud, J.; Fujita, M.; Fotopoulos, V. Reactive oxygen species and antioxidant metabolism in plants under abiotic stress: Revisiting the crucial role of a universal defense regulator. Antioxidants 2020, 9, 681. [Google Scholar] [CrossRef]
  10. Raza, A.; Tabassum, J.; Fakhar, A.Z.; Sharif, R.; Chen, H.; Zhang, C.; Ju, L.; Fotopoulos, V.; Siddique, K.H.; Singh, R.K.; et al. Smart reprograming of plants against salinity stress using modern biotechnological tools. Crit. Rev. Biotechnol. 2023, 43, 1035–1062. [Google Scholar] [CrossRef]
  11. Magangana, T.P.; Stander, M.A.; Masondo, N.A.; Makunga, N.P. Steviol glycoside content and essential oil profles of Stevia rebaudiana Bertoni in response to NaCl and polyethylene glycol as inducers of salinity and drought stress in vitro. Plant Cell Tissue Organ Cult. 2021, 145, 1–18. [Google Scholar] [CrossRef]
  12. Mahajana, M.; Sharma, S.; Kumar, P.; Pala, P.K. Foliar application of KNO3 modulates the biomass yield, nutrient uptake and accumulation of secondary metabolites of Stevia rebaudiana under saline conditions. Ind. Crops Prod. 2020, 145, 112102. [Google Scholar] [CrossRef]
  13. Yidirim, E.; Kul, R.; Turan, M.; Ekinci, M.; Alak, G.; Atamanalp, M. Effect of Nitrogen and Fish Manure Fertilization on Growth and Chemical Composition of Lettuce. In Proceedings of the International Conference on Advances in Natural and Applied Sciences 2016, Antalya, Turkey, 21–23 April 2016. [Google Scholar]
  14. Choe, U.; Mustafa, A.M.; Lin, H.; Choe, U.; Sheng, K. Anaerobic co-digestion of fish processing waste with a liquid fraction of hydrothermal carbonization of bamboo residue. Bioresour. Technol. 2020, 297, 122542. [Google Scholar] [CrossRef] [PubMed]
  15. Ahuja, I.; Dauksas, E.; Remmec, J.F.; Richardsen, R.; Loes, A.K. Fish and fish waste-based fertilizers in organic farming—With status in Norway: A review. Waste Manag. 2020, 115, 95–112. [Google Scholar] [CrossRef] [PubMed]
  16. Balraj, H.T.; Palani, S.; Arumugam, G. Influence of Gunapaselam, a liquid fermented fish waste on the growth characteristics of Solanum melongena. J. Chem. Pharm. Res. 2014, 6, 58–66. [Google Scholar]
  17. Radziemska, M.; Vaverková, M.D.; Adamcová, D.; Brtnický, M.; Mazur, Z. Valorization of Fish Waste Compost as a Fertilizer for Agricultural Use. Waste Biomass Valorization 2019, 10, 2537–2545. [Google Scholar] [CrossRef]
  18. Sadak, M.T.; Abdelhamid, M.S.H. Influence of Amino Acids Mixture Application on Some Biochemical Aspects, Antioxidant Enzymes and Endogenous Polyamines of Vicia faba Plant Grown under Seawater Salinity Stress. Gesunde Pflanz. 2015, 67, 119–129. [Google Scholar] [CrossRef]
  19. Ekinci, M.; Atamanalp, M.; Turan, M.; Alak, G.; Kul, R.; Kitir, N.; Yildirim, E. Integrated Use of Nitrogen Fertilizer and Fish Manure: Effects on the Growth and Chemical Composition of Spinach. Commun. Soil Sci. Plant Anal. 2019, 50, 1580–1590. [Google Scholar] [CrossRef]
  20. Adhikari, B.; Dhungana, S.K.; Kim, I.D.; Shin, D.H. Effect of foliar application of potassium fertilizers on soybean plants under salinity stress. J. Saudi Soc. Agric. Sci. 2019, 19, 261–269. [Google Scholar] [CrossRef]
  21. Ahanger, M.A.; Qin, C.; Begum, N.; Maodong, Q.; Dong, X.X.; El-Esawi, M.; El-Sheikh, M.A.; Alatar, A.A.; Zhang, L. Nitrogen availability prevents oxidative effects of salinity on wheat growth and photosynthesis by up-regulating the antioxidants and osmolytes metabolism, and secondary metabolite accumulation. BMC Plant Biol. 2019, 19, 479. [Google Scholar] [CrossRef]
  22. Gohari, G.; Farhadi, H.; Panahirad, S.; Zareei, E.; Labib, p.; Jafari, H.; Mahdavinia, G.; Hassanpouraghdam, M.B.; Ioannou, A.; Kulak, M.; et al. Mitigation of salinity impact in spearmint plants through the application of engineered chitosan-melatonin nanoparticles. Int. J. Biol. Macromol. 2023, 224, 893–907. [Google Scholar] [CrossRef] [PubMed]
  23. Rostami, G.; Moghaddam, M.; Narimani, R.; Mehdizadeh, L. The effect of different priming treatments on germination, morphophysiological, and biochemical indices and salt tolerance of basil (Ocimum basilicum L. cv. Keshkeni Levelou). Environ. Stresses Crop Sci. 2018, 11, 1107–1123. [Google Scholar]
  24. Gohari, G.; Mohammadi, A.; Akbari, A.; Panahirad, S.; Dadpour, M.R.; Fotopoulos, V.; Kimura, S. Titanium dioxide nanoparticles (tio2 nps) promote growth and ameliorate salinity stress effects on essential oil profile and biochemical attributes of Dracocephalum moldavica. Sci. Rep. 2020, 10, 912. [Google Scholar] [CrossRef] [PubMed]
  25. Roy, M.; Sukalpa, K.; Anupam, D.; Pradip, K.S.; Joydeep, M. Application of rural slaughterhouse waste as an organic fertilizer for pot cultivation of solanaceous vegetables in India. Int. J. Recycl. Org. Waste Agric. 2013, 2, 6–16. [Google Scholar] [CrossRef]
  26. Metwally, R.; Solimana, S.A.; Hamed, A.A.; Latef, A.; Abdelhamee, R. The individual and interactive role of arbuscular mycorrhizal fungi and Trichoderma viride on growth, protein content, amino acids fractionation, and phosphatases enzyme activities of onion plants amended with fish waste. Ecotoxicol. Environ. Saf. 2021, 214, 112072. [Google Scholar] [CrossRef]
  27. Baldi, E.; Tosel li, M. Root growth and survivorship in cow manure and compost amended soils. Plant Soil Environ. 2013, 59, 221–226. [Google Scholar] [CrossRef]
  28. Azami, M.A.; Maleki, M.; Rasouli, F.; Gohari, G. Protective effects of chitosan based salicylic acid nanocomposite (CS-SA NCs) in grape (Vitis vinifera cv. ‘Sultana’) under salinity stress. Sci. Rep. 2023, 13, 883. [Google Scholar] [CrossRef] [PubMed]
  29. Wright, A.H.; DeLong, J.M.; Lada, R.R.; Prange, R.K. The relationship between water status and chlorophyll a fluorescence in grapes (Vitis spp.). Postharvest Biol. Technol. 2009, 51, 193–199. [Google Scholar] [CrossRef]
  30. Salim Akhter, M.; Noreen, S.; Mahmood, S.; Athar, H.U.R.; Ashraf, M.; Alsahli, A.A.; Ahmad, P. Influence of salinity stress on PSII in barley (Hordeum vulgare L.) genotypes, probed by chlorophyll-a fluorescence. J. King Saud Univ.-Sci. 2021, 33, 101239. [Google Scholar] [CrossRef]
  31. Hameed, A.; Ahmed, M.Z.; Hussain, T.; Aziz, I.; Ahmad, N.; Gul, B.; Nielsen, B. Effects of Salinity Stress on Chloroplast Structure and Function. Cells 2021, 7, 2023. [Google Scholar] [CrossRef]
  32. Akhtar, N.; Ilyas, N.; Arshad, M.; Meraj, T.A.; Hefft, D.I.; Jan, B.L.; Ahmad, P. The Impact of Calcium, Potassium, and Boron Application on the Growth and Yield Characteristics of Durum Wheat under Drought Conditions. Agronomy 2022, 12, 1917. [Google Scholar] [CrossRef]
  33. Kamanga, M.; Echigo, K.; Yodoya, K.; Mohammad, A.; Mekawy, M.; Ueda, A. Salinity acclimation ameliorates salt stress in tomato (Solanum lycopersicum L.) seedlings by triggering a cascade of physiological processes in the leaves. Sci. Hortic. 2020, 270, 109434. [Google Scholar] [CrossRef]
  34. Rana, V.; Ram Sewa, R.; Kiran Nehra, S.; Sharma, I. Physiological, biochemical and morphological study in wheat (Triticum aestivum L.) RILs population for salinity tolerance. J. Agric. Sci. 2015, 7, 119–128. [Google Scholar] [CrossRef]
  35. Ishak, N.H.; Sarbon, N.M.A. Review of Protein Hydrolysates and Bioactive Peptides Deriving from Wastes Generated by Fish Processing. Food Bioprocess Technol. 2017, 11, 2–16. [Google Scholar] [CrossRef]
  36. Teixeira, W.F.; Soares, L.H.; Fagan, E.B.; Costa Mello, S.D.; Reichardt, K.; Dourado Neto, D. Amino Acids as Stress Reducers in Soybean Plant Growth Under Diferent Water Defcit Conditions. J. Plant Growth Regul. 2019, 39, 905–919. [Google Scholar] [CrossRef]
  37. Alfosea-Simon, M.; Simon-Grao, S.; Zavala-Gonzalez, E.A.; Camara-Zapata, J.M.; Inmaculada Simon, I.; Martinez-Nicolas, J.J.; Lidon, V.; Garcia-Sanchez, F. Physiological, Nutritional and Metabolomic Responses of Tomato Plants After the Foliar Application of Amino Acids Aspartic Acid, Glutamic Acid and Alanine. Orig. Res. 2021, 11, 5811234. [Google Scholar] [CrossRef] [PubMed]
  38. Jiang, M.; Jianga, J.; Lia, S.H.; Lia, M.; Yuanyuan Tana, Y.; Songa, S.H.; Shua, Q.A.; Huanga, J. Glutamate Alleviates Cadmium Toxicity in Rice via Suppressing Cadmium Uptake and Translocation. J. Hazard. Mater. 2019, 384, 121319. [Google Scholar] [CrossRef] [PubMed]
  39. Shahsavani, S.; Abaspour, A.; Parsaeeyan, M.; Yonesi, Z. Effect of fish waste, chemical fertilizer and bio-fertilizer on yield and yield components of bean (Vigna sinensis) and some soil properties. J. Pulses Res. 2017, 8, 45–59. [Google Scholar]
  40. Saifuddin, M.; Sharif Hossain, A.B.M.; Normaniza, O.; Moneruzzaman, K.M. Bract size enlargement and longevity of Bougainvillea spectabilisas affected by GA3 and phloemic stress. Asian J. Plant Sci. 2009, 8, 212–217. [Google Scholar] [CrossRef]
  41. Sheikhalipour, M.; Mohammadi, S.A.; Esmaielpour, B.; Zareei, E.; Kulak, M.; Ali, S.; Nouraein, M.; Bahrami, M.K.; Gohari, G.; Fotopoulos, V. Exogenous melatonin increases salt tolerance in bitter melon by regulating ionic balance, antioxidant system and secondary metabolism-related genes. BMC Plant Biol. 2022, 22, 380. [Google Scholar] [CrossRef]
  42. El-Beltagi, H.S.; El-Yazied, A.A.; Hany, G.; El-Gawad, A.; Kandeel, M.; Shalaby, T.A.; Abdallah Tageldein Mansour, A.T.; Al-Harbi, N.A.; Al-Qahtani, S.M.; Alkhateeb, A.A.; et al. Synergistic Impact of Melatonin and Putrescine Interaction in Mitigating Salinity Stress in Snap Bean Seedlings: Reduction of Oxidative Damage and Inhibition of Polyamine Catabolism. Horticulturae 2023, 9, 285. [Google Scholar] [CrossRef]
  43. Shams, H.; Yildirim, E.; Arslan, E.; Agar, G. Salinity induced alteration in DNA methylation pattern, enzyme activity, nutrient uptake and H2O2 content in pepper (Capsicum annuum L.) cultivars. Acta Physiol. Plant 2020, 42, 59. [Google Scholar] [CrossRef]
  44. Alfosea-Simon, M.; Zavala-Gonzalez, E.A.; Camara-Zapata, J.M.; Martinez Nicolas, J.J.; Simon, I.; Simon-Grao, S. Effect of foliar application of amino acids on the salinity tolerance of tomato plants cultivated under hydroponic system. Sci. Hortic. 2020, 272, 109509. [Google Scholar] [CrossRef]
  45. Hnilickova, H.; Kraus, K.; Vachova, P.; Hnilicka, F. Salinity Stress Affects Photosynthesis, Malondialdehyde Formation, and Proline Content in Portulaca oleracea L. Plants 2021, 10, 845. [Google Scholar] [CrossRef] [PubMed]
  46. Alikhani, S.; Mahmudi Zarandi, M. Effect of coinoculation with endomycorrhiza, Pseudomonas aeroginosa and Rhizobium meliloti on Medicago sativa under water stress. Plant Res. 2019, 32, 155–166. [Google Scholar]
  47. Shafi, A.; Zahoor, I.; Mushtaq, U. Proline Accumulation and Oxidative Stress: Diverse Roles and Mechanism of Tolerance and Adaptation under Salinity Stress. In Salt Stress, Microbes, and Plant Interactions: Mechanisms and Molecular Approaches; Akhtar, M., Ed.; Springer: Singapore, 2019; pp. 269–300. [Google Scholar]
  48. Yang, Q.; Zhao, D.; Liu, Q. Connections between amino acid metabolisms in plants: Lysine as an example. Front. Plant Sci. 2020, 11, 928. [Google Scholar] [CrossRef] [PubMed]
  49. Fageria, N.K. The Use of Nutrients in Crop Plants; CRC Press: Boca Raton, FL, USA, 2009; pp. 230–240. [Google Scholar]
  50. Minh, D.T.K.; Ha, P.T.T.; Tuyen, P.T.; Minh, T.N.; Quan, N.V.; Xuan, T. Effects of Salinity Stress on Growth and Phenolics of Rice (Oryza sativa L.). Luong. Int. Lett. Nat. Sci. 2016, 57, 1–10. [Google Scholar] [CrossRef]
  51. Ksouri, R.; Megdiche, W.; Debez, A.; Falleh, H.; Grignon, C.; Abdelly, C. Salinity effects on polyphenol content and antioxidant activities in leaves of the halophyte Cakile maritima. Plant Physiol. Biochem. 2007, 45, 244–249. [Google Scholar] [CrossRef]
  52. Bistgani, Z.E.; Hashemi, M.; DaCosta, M.; Craker, L.; Maggi, F.; Morshedloo, M.R. Effect of salinity stress on the physiological characteristics, phenolic compounds and antioxidant activity of Thymus vulgaris L. and Thymus daenensis Celak. Ind. Crops. Prod. 2019, 135, 311–320. [Google Scholar] [CrossRef]
  53. Muscolo, A.; Mauriello, F.; Marra, F.; Calabrò, P.S.; Russo, M.; Ciriminna, R.; Pagliaro, M. AnchoisFert: A New Organic Fertilizer from Fish Processing Waste for Sustainable Agriculture. Glob. Chall. 2022, 6, 2100141. [Google Scholar] [CrossRef]
  54. Cheng, X.; Wang, X.; Zhang, A.; Wang, P.; Chen, Q.; Ma, T.; Li, W.; Liang, Y.; Sun, X.; Fang, Y. Foliar. Phenylalanine Application Promoted Antioxidant Activities in Cabernet Sauvignon by Regulating Phenolic Biosynthesis. J. Agric. Food Chem. 2020, 68, 15390–15402. [Google Scholar] [CrossRef] [PubMed]
  55. Othman, M.; Richard, P.; Jacoby, A.; Millar, H.; Nicolas, L.; Taylor, T. Wheat mitochondrial respiration shifts from the tricarboxylic acid cycle to the GABA shunt under salt stress. New Phytol. 2020, 225, 1047–1048. [Google Scholar]
  56. Gohari, G.; Alavi, Z.; Esfandiari, E.; Panahirad, S.; Hajihoseinlou, S.; Fotopoulos, V. Interaction between hydrogen peroxide and sodium nitroprusside following chemical priming of Ocimum basilicum L. against salt stress. Physiol. Plant. 2019, 168, 361–373. [Google Scholar] [CrossRef]
  57. Ali, Q.; Daud, M.K.; Haider, M.Z.; Ali, S.; Aslam, N.; Noman, A.; Iqbal, N.; Shahzad, F.; Rizwan, M.; Deeba, F.; et al. Seed priming by sodium nitroprusside improves salt tolerance in wheat (Triticum aestivum L.) by enhancing physiological and biochemical parameters. Plant Physiol. Biochem. 2017, 119, 50–58. [Google Scholar] [CrossRef]
  58. Safikhan, S.; Chaichi, M.R.; Khoshbakht, K.; Amini, A.; Motesharezadeh, B. Application of nanomaterial graphene oxide on biochemical traits of milk thistle (Silybum marianum L.) under salinity stress. Aust. J. Crop Sci. 2018, 12, 931. [Google Scholar] [CrossRef]
  59. Ahmad, P.; Ahanger, M.A.; Alam, P.; Alyemeni, M.N.; Wijaya, L.; Ali, S.; Ashraf, M. Silicon (Si) supplementation alleviates NaCl toxicity in mung bean Vigna radiata L. through the modifications of physio-biochemical attributes and key antioxidant enzymes. J. Plant Growth Regul. 2019, 38, 70–82. [Google Scholar] [CrossRef]
  60. Gohari, G.; Panahirad, S.; Sadeghi, M.; Akbari, A.; Zareei, E.; Zahedi, S.M.; Fotopoulos, V. Putrescine-functionalized carbon quantum dot (put-CQD) nanoparticles effectively prime grapevine (Vitis vinifera cv. ‘Sultana’) against salt stress. BMC Plant Biol. 2021, 21, 1–15. [Google Scholar]
  61. Alasvandyari, F.; Mahdavi, B.; Hosseini, S.M. Glycine betaine affects the antioxidant system and ion accumulation and reduces salinity-induced damage in safflower seedlings. Arch. Biol. Sci. 2017, 69, 139–147. [Google Scholar] [CrossRef]
  62. Ali, M.; Kamran, M.; Abbasi, G.H.; Saleem, M.H.; Ahmad, S.; Parveen, A.; Malik, A.; Afza, S.; Ahmar, S.; Dawar, K.M.; et al. Melatonin-Induced Salinity Tolerance by Ameliorating Osmotic and Oxidative Stress in the Seedlings of Two Tomato (Solanum lycopersicum L.) Cultivars. J. Plant Growth Regul. 2020, 40, 2236–2248. [Google Scholar] [CrossRef]
  63. Ramesh Kannan, P.; Deepa, S.; Kanth, S.V.; Rengasamy, R. Growth, osmolyte concentration and antioxidant enzymes in the leaves of Sesuvium portulacastrum L. under salinity stress. Appl. Biochem. Biotech. 2013, 171, 1925–1932. [Google Scholar] [CrossRef]
  64. Moghaddam, M.; Nasrin, F.; Panjtandoust, M.; Ghanati, F. Seed germination, antioxidant enzymes activity and proline content in medicinal plant Tagetes minuta under salinity stress. Plant Biosyst. 2020, 154, 835–842. [Google Scholar] [CrossRef]
  65. Batista-Silva, W.; Heinemann, B.; Rugen, N.; Nunes-Nesi, A.; Araújo, W.L.; Braun, H.P.; Hildebrandt, T.M. The role of amino acid metabolism during abiotic stress release. Plant Cell Environ. 2019, 42, 1630–1644. [Google Scholar] [CrossRef] [PubMed]
  66. Sahu, B.; Barik, N.K.; Paikaray, A.; Agnibesh, A.; Mohapatra, S.; Jayasankar, P. Fish Waste Bio-Refinery Products: Its application in Organic Farming B. Int. J. Environ. Agric. Biotechnol. 2016, 1, 4. [Google Scholar] [CrossRef]
  67. Alnusairi, G.; Mazrou, Y.; Qari, S.; Elkelish, A.; Soliman, M.; Eweis, M.; Abdelaal, K.; El-Samad, G.A.; Ibrahim, M.; ElNahhas, N. Exogenous Nitric Oxide Reinforces Photosynthetic Efficiency, Osmolyte, Mineral Uptake, Antioxidant, Expression of Stress-Responsive Genes and Ameliorates the Effects of Salinity Stress in Wheat. Plants 2022, 11, 576. [Google Scholar] [CrossRef] [PubMed]
  68. Ketehouli, T.; Idrice Carther, K.F.; Noman, M.; Wang, F.W.; Li, X.W.; Hai-Yan Li, H.Y. Adaptation of Plants to Salt Stress: Characterization of Na+ and K+ Transporters and Role of CBL Gene Family in Regulating Salt Stress Response. Agronomy 2019, 9, 687. [Google Scholar] [CrossRef]
  69. Lindberg, S.; Abdul Kader, M.D.; Yemelyanov, V. Calcium Signalling in Plant Cells under Environmental Stress. In Environmental Adaptations and Stress Tolerance of Plants in the Era of Climate Change; Springer: New York, NY, USA, 2012. [Google Scholar]
  70. Adem, G.D.; Roy, S.J.; Zhou, M.; Bowman, J.P.; Shabala, S. Evaluating contribution of ionic, osmotic and oxidative stress components towards salinity tolerance in barley. BMC Plant Biol. 2014, 14, 113. [Google Scholar] [CrossRef] [PubMed]
  71. Reyes, J.A.O.; Carpentero, A.S.; Santos, P.J.A.; Delfin, E.F. Santos and Evelyn F. Effects of Water Regime, Genotype, and Formative Stages on the Agro-Physiological Response of Sugarcane (Saccharum officinarum L.) to Drought. Plants 2020, 9, 661. [Google Scholar] [CrossRef] [PubMed]
  72. Whiting, D.; Wilson, C.; Card, A. Organic Fertilizers. In Colorado Master Gardener; Colorado State University: Denver, CO, USA, 2005; pp. 1–5. [Google Scholar]
  73. Arnon, D. Copper enzymes in isolation chloroplast phenoloxidase in Beta vulgaris. Plant Physiol. 1949, 24, 1–15. [Google Scholar] [CrossRef] [PubMed]
  74. Smart, R.; Bingham, G.E. Rapid estimates of relative water content. Plant Physiol. 1974, 53, 258–260. [Google Scholar] [CrossRef] [PubMed]
  75. Omokolo, N.D.; Tsala, N.G.; Kanmegne, G.; Balange, A.P. In vitro induction of multiple shoots, plant regeneration and tuberization from tips of cocoyam. C. R. Acad. Sci. 1992, 318, 773–778. [Google Scholar]
  76. Bradford, M.M. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal. Biochem. 1976, 72, 248–254. [Google Scholar] [CrossRef] [PubMed]
  77. Sergiev, I.; Alexieva, V.; Karanov, E. Effect of spermine, atrazine and combination between them on some endogenous protective systems and stress markers in plants. C. R. Acad. Sci. 1997, 51, 121–124. [Google Scholar]
  78. Heath, R.L.; Packer, I. Photoperoxidation in isolated chloroplasts: I. Kinetics and stoichiometry of fatty acid peroxidation. Arch. Biochem. Biophys. 1968, 125, 189–198. [Google Scholar] [CrossRef] [PubMed]
  79. Redman, R.; Haraldson, J.; Gusta, L. Leakage of UV- absorbing substances as a measure of salt injury in leaf tissue of woody spicies. Physiol. Plant. 1986, 67, 87–91. [Google Scholar] [CrossRef]
  80. Bates, L.; Waldren, R.; Teare, I. Rapid determination of free proline for water-stress studies. Plant Soil 1973, 39, 205–207. [Google Scholar] [CrossRef]
  81. Xu, C.; Zhang, Y.; Cao, L.; Lu, J. Phenolic compounds and antioxidant properties of different grape cultivars grown in China. Food. Chem. 2010, 119, 1557–1565. [Google Scholar] [CrossRef]
  82. Hemeda, H.M.; Klein, B.P. Effects of naturally occurring antioxidants onperoxidase activity of vegetable extracts. J. Food Sci. 1990, 55, 184–185. [Google Scholar] [CrossRef]
  83. Kar, M.; Mishra, D. Polyphenol oxidase activities during rice leaf senescence. Plant Physiol. 1976, 57, 315–319. [Google Scholar] [CrossRef] [PubMed]
  84. Nakano, Y.; Asada, K. Hydrogen peroxide is scavenged by ascorbate specific peroxidase in spinach chloroplasts. Plant Cell Physiol. 1981, 22, 867–888. [Google Scholar]
  85. Chapman, H.D.; Pratt, D.F. Methods of Analysis for Soil, Plant and Water; University of California Agricultural Science: Davis, CA, USA, 1961; pp. 60–62. [Google Scholar]
Figure 1. Effect of various concentrations of NaCl on (A) root length, (B) root fresh weight, (C) root dry weight, (D) leaf area, (E) number of leaves, (F) branches, (G) shoot dry weight, and (H) shoot fresh weight of Stevia rebaudiana Bertoni. Same letters indicate no significant differences (p < 0.05) based on Duncan’s Multiple Range test.
Figure 1. Effect of various concentrations of NaCl on (A) root length, (B) root fresh weight, (C) root dry weight, (D) leaf area, (E) number of leaves, (F) branches, (G) shoot dry weight, and (H) shoot fresh weight of Stevia rebaudiana Bertoni. Same letters indicate no significant differences (p < 0.05) based on Duncan’s Multiple Range test.
Plants 13 01909 g001
Figure 2. Effect of various concentrations of fish waste bio-fertilizer on (A) root length, (B) leaf area, (C) branches, (D) shoot dry weight, and (E) shoot fresh weight of Stevia rebaudiana Bertoni. Same letters indicate no significant differences (p < 0.05) based on Duncan’s Multiple Range test.
Figure 2. Effect of various concentrations of fish waste bio-fertilizer on (A) root length, (B) leaf area, (C) branches, (D) shoot dry weight, and (E) shoot fresh weight of Stevia rebaudiana Bertoni. Same letters indicate no significant differences (p < 0.05) based on Duncan’s Multiple Range test.
Plants 13 01909 g002
Figure 3. (A) Effect of various concentrations of NaCl stress (a: 60 mM, b: 40 mM, c: 20 mM, and d: Control) on Stevia rebaudiana Bertoni under no fish waste bio-fertilizer treatment. (B) Effect of various concentrations of fish waste bio-fertilizer treatment (a: control, b: 5% (v/v), c: 10% (v/v), and d: 15% (v/v)) on Stevia rebaudiana Bertoni under 60 mM NaCl.
Figure 3. (A) Effect of various concentrations of NaCl stress (a: 60 mM, b: 40 mM, c: 20 mM, and d: Control) on Stevia rebaudiana Bertoni under no fish waste bio-fertilizer treatment. (B) Effect of various concentrations of fish waste bio-fertilizer treatment (a: control, b: 5% (v/v), c: 10% (v/v), and d: 15% (v/v)) on Stevia rebaudiana Bertoni under 60 mM NaCl.
Plants 13 01909 g003aPlants 13 01909 g003b
Figure 4. Effect of various concentrations of fish waste bio-fertilizer on photosynthetic parameters ((A) Chl a, (B) Chl b, (C) carotenoids, (D) total Chl, and (E) Fv/Fm) of Stevia rebaudiana Bertoni under salinity stress conditions (0, 20, 40, and 60 mM NaCl). Same letters indicate no significant differences (p < 0.05) based on Duncan’s Multiple Range test.
Figure 4. Effect of various concentrations of fish waste bio-fertilizer on photosynthetic parameters ((A) Chl a, (B) Chl b, (C) carotenoids, (D) total Chl, and (E) Fv/Fm) of Stevia rebaudiana Bertoni under salinity stress conditions (0, 20, 40, and 60 mM NaCl). Same letters indicate no significant differences (p < 0.05) based on Duncan’s Multiple Range test.
Plants 13 01909 g004aPlants 13 01909 g004b
Figure 5. Effect of various concentrations of NaCl (A) and fish waste bio-fertilizer (B) on relative water content of Stevia rebaudiana Bertoni. Same letters indicate no significant differences (p < 0.05) based on Duncan’s Multiple Range test.
Figure 5. Effect of various concentrations of NaCl (A) and fish waste bio-fertilizer (B) on relative water content of Stevia rebaudiana Bertoni. Same letters indicate no significant differences (p < 0.05) based on Duncan’s Multiple Range test.
Plants 13 01909 g005
Figure 6. Effect of various concentrations of fish waste bio-fertilizer on total carbohydrates of Stevia rebaudiana Bertoni under salinity stress conditions (0, 20, 40, and 60 mM NaCl). Same letters indicate no significant differences (p < 0.05) based on Duncan’s Multiple Range test.
Figure 6. Effect of various concentrations of fish waste bio-fertilizer on total carbohydrates of Stevia rebaudiana Bertoni under salinity stress conditions (0, 20, 40, and 60 mM NaCl). Same letters indicate no significant differences (p < 0.05) based on Duncan’s Multiple Range test.
Plants 13 01909 g006
Figure 7. Effect of various concentrations of fish waste bio-fertilizer on (A) H2O2 and (B) MDA of Stevia rebaudiana Bertoni under salinity stress conditions (0, 20, 40, and 60 mM NaCl). Effect of various concentrations of NaCl (C[1]) and fish waste bio-fertilizer (C[2]) on electrolyte leakage of Stevia rebaudiana Bertoni. Same letters indicate no significant differences (p < 0.05) based on Duncan’s Multiple Range test.
Figure 7. Effect of various concentrations of fish waste bio-fertilizer on (A) H2O2 and (B) MDA of Stevia rebaudiana Bertoni under salinity stress conditions (0, 20, 40, and 60 mM NaCl). Effect of various concentrations of NaCl (C[1]) and fish waste bio-fertilizer (C[2]) on electrolyte leakage of Stevia rebaudiana Bertoni. Same letters indicate no significant differences (p < 0.05) based on Duncan’s Multiple Range test.
Plants 13 01909 g007
Figure 8. Effect of various concentrations of NaCl (A[1]) and fish waste bio-fertilizer (A[2]) on proline of Stevia rebaudiana Bertoni. Effect of various concentrations of fish waste bio-fertilizer on total phenols (B) of Stevia rebaudiana Bertoni under salinity stress conditions (0, 20, 40, and 60 mM NaCl). Same letters indicate no significant differences (p < 0.05) based on Duncan’s Multiple Range test.
Figure 8. Effect of various concentrations of NaCl (A[1]) and fish waste bio-fertilizer (A[2]) on proline of Stevia rebaudiana Bertoni. Effect of various concentrations of fish waste bio-fertilizer on total phenols (B) of Stevia rebaudiana Bertoni under salinity stress conditions (0, 20, 40, and 60 mM NaCl). Same letters indicate no significant differences (p < 0.05) based on Duncan’s Multiple Range test.
Plants 13 01909 g008
Figure 9. Effect of various concentrations of NaCl and fish waste bio-fertilizer on the enzymatic activity of (A) APX, (B) CAT, and (C) POD of Stevia rebaudiana Bertoni under salinity stress conditions (0, 20, 40, and 60 mM NaCl). Same letters indicate no significant differences (p < 0.05) based on Duncan’s Multiple Range test.
Figure 9. Effect of various concentrations of NaCl and fish waste bio-fertilizer on the enzymatic activity of (A) APX, (B) CAT, and (C) POD of Stevia rebaudiana Bertoni under salinity stress conditions (0, 20, 40, and 60 mM NaCl). Same letters indicate no significant differences (p < 0.05) based on Duncan’s Multiple Range test.
Plants 13 01909 g009
Figure 10. Effect of various concentrations of fish waste bio-fertilizer on essential nutrients: (A) shoot Na, (B) shoot Ca, (C) root K, and (D) root Na, of Stevia rebaudiana Bertoni under different concentrations of salinity stress (0, 20, 40, and 60 mM NaCl). Same letters indicate no significant differences (p < 0.05) based on Duncan’s Multiple Range test.
Figure 10. Effect of various concentrations of fish waste bio-fertilizer on essential nutrients: (A) shoot Na, (B) shoot Ca, (C) root K, and (D) root Na, of Stevia rebaudiana Bertoni under different concentrations of salinity stress (0, 20, 40, and 60 mM NaCl). Same letters indicate no significant differences (p < 0.05) based on Duncan’s Multiple Range test.
Plants 13 01909 g010
Figure 11. Effect of various concentrations of NaCl on (A) root Ca and (B) shoot K and effect of various concentrations of fish waste bio-fertilizer on (C) root Ca and (D) shoot K, of Stevia rebaudiana Bertoni. Same letters indicate no significant differences (p < 0.05) based on Duncan’s Multiple Range test.
Figure 11. Effect of various concentrations of NaCl on (A) root Ca and (B) shoot K and effect of various concentrations of fish waste bio-fertilizer on (C) root Ca and (D) shoot K, of Stevia rebaudiana Bertoni. Same letters indicate no significant differences (p < 0.05) based on Duncan’s Multiple Range test.
Plants 13 01909 g011
Figure 12. Plot from PCA performed on morphological, physiological, and biochemical traits in various concentrations of NaCl and fish waste bio-fertilizer of Stevia rebaudiana Bertoni. Abbreviations: root fresh weight (RFW), shoot fresh weight (SFW), shoot dry weight (SDW), root dry weight (RDW), relative water content (RWC), leaf number (LN), chlorophyll a (Chl_a), chlorophyll b (Chl_b), total chlorophyll (Chl_T), total carotenoids (Caros), Na+ concentration in shoots and roots (Na+ S; Na+ R), K+ concentration in shoots and roots (K+ S; K+ R), Ca2+ concentration in shoots and roots (Ca2+ S; Ca2+ R), proline (Pro), malondialdehyde (MDA), hydrogen peroxide (H2O2), total phenolic compounds (TPCs), Ascorbate peroxidase (APX), catalase (CAT), Peroxidase (POD), total carbohydrate (carbo), electrolyte leakage (EL), plant height (PH), root length (RL), leaf area (LA), and branches (B).
Figure 12. Plot from PCA performed on morphological, physiological, and biochemical traits in various concentrations of NaCl and fish waste bio-fertilizer of Stevia rebaudiana Bertoni. Abbreviations: root fresh weight (RFW), shoot fresh weight (SFW), shoot dry weight (SDW), root dry weight (RDW), relative water content (RWC), leaf number (LN), chlorophyll a (Chl_a), chlorophyll b (Chl_b), total chlorophyll (Chl_T), total carotenoids (Caros), Na+ concentration in shoots and roots (Na+ S; Na+ R), K+ concentration in shoots and roots (K+ S; K+ R), Ca2+ concentration in shoots and roots (Ca2+ S; Ca2+ R), proline (Pro), malondialdehyde (MDA), hydrogen peroxide (H2O2), total phenolic compounds (TPCs), Ascorbate peroxidase (APX), catalase (CAT), Peroxidase (POD), total carbohydrate (carbo), electrolyte leakage (EL), plant height (PH), root length (RL), leaf area (LA), and branches (B).
Plants 13 01909 g012
Table 1. Principal components analysis for morphological, physiological, and biochemical traits of Stevia rebaudiana Bertoni under salinity stress conditions.
Table 1. Principal components analysis for morphological, physiological, and biochemical traits of Stevia rebaudiana Bertoni under salinity stress conditions.
TraitsFirst Principal ComponentsSecond Principal Components
Total phenol content (TPCs)−0.967-
Catalase (CAT)−0.953-
Carbohydrate (Carbo)−0.948-
Peroxidase (POD)−0.943-
Proline (PRO)−0.941-
Ascorbate peroxidase (APX)−0.908−0.314
Leaf number (LN)0.9030.420
Shoot dry weight (SDW)0.8600.479
Root fresh weight (RFW)0.8480.513
Shoot K (KS)0.8450.525
Branches (B)0.8450.493
Leaf area (LA)0.8240.485
Root dry weight (RDW)0.8140.550
Hydrogen peroxide (H2O2)−0.801−0.587
Malondialdehyde (MDA)−0.799−0.574
Shoot fresh weight (SFW)0.7880.522
Root length (RL)0.7860.532
Chlorophyll b (ChLb)0.7850.584
Relative water content (RWC)0.7770.572
Root Na (NaR)−0.757−0.629
Root Ca (CaR)0.7550.623
Electrolyte leakage (EL)−0.747−0.628
Shoot Ca (CaS)-0.859
Root K (KR)-0.816
Shoot Na (NaS)−0.516−0.808
Chlorophyll a (ChLa)0.5820.776
Total chlorophyll (ChLT)0.6460.741
Plant height (PH)0.6520.734
Fv/Fm0.6040.729
Carotenoids (Caros)0.5760.707
Percentage of variance 840.78%80.05%
Table 2. Pearson correlation coefficients (r) between photosynthetic pigments, Fv/Fm and the relative content of water and sodium, potassium, and calcium in roots and shoots of Stevia rebaudiana Bertoni under salinity stress conditions (* p < 0.05; ** p < 0.01).
Table 2. Pearson correlation coefficients (r) between photosynthetic pigments, Fv/Fm and the relative content of water and sodium, potassium, and calcium in roots and shoots of Stevia rebaudiana Bertoni under salinity stress conditions (* p < 0.05; ** p < 0.01).
Fv/FmChl aChl bTotal Chl CarotenoidsRWCShoot NaShoot KShoot CaRoot NaRoot KRoot Ca
Fv/Fm1
Chla0.927 **1
Chlb0.916 **0.898 **1
Total Chl0.942 **0.993 **0.942 **1
Carotenoids0.858 **0.856 **0.865 **0.857 **1
RWC0.847 **0.929 **0.49 **0.95 **0.883 **1
Shoot Na−0.883 **−0.948 **−0.849 **−0.942 **−.846 **−0.859 **1
Shoot K0.901 **0.905 **0.964 **0.938 *0.843 **0.951 **−0.864 **1
Shoot Ca0.706 **0.769 **0.587 *0.737 **0.518 *0.556 *−.839 **0.577 **1
Root Na−0.931 **−0.939 **−0.960 **−0.963 **−0.861 **−0.949 **0.904 **−0.971 **−0.673 **1
Root K0.4570.480.3980.4680.562 *0.371−0.4640.270.488−0.3631
Root Ca0.897 **0.933 **0.957 **0.957 **0.864 **0.957 **−0.837 **0.967 **0.616 **−0.97 **0.4081
Table 3. Composition of amino acids in fish waste bio-fertilizer. Content shown as mg Amino Acid (AA)/g sample.
Table 3. Composition of amino acids in fish waste bio-fertilizer. Content shown as mg Amino Acid (AA)/g sample.
Amino AcidFree Amino AcidTotal Amino AcidUnit (mg Amino Acid(AA)/g Sample)
Asp0.71.36mg AA/g sample
Glu1.493.57mg AA/g sample
Ser0.170.87mg AA/g sample
Gly1.083.42mg AA/g sample
His0.150.48mg AA/g sample
Arg0.231.02mg AA/g sample
Thr0.140.84mg AA/g sample
Ala1.392.77mg AA/g sample
Pro0.611.86mg AA/g sample
Tyr0.480.48mg AA/g sample
Val0.721.63mg AA/g sample
Met0.260.51mg AA/g sample
(cys)20.000.00mg AA/g sample
Ile0.470.94mg AA/g sample
Leu0.981.7mg AA/g sample
Phe0.410.83mg AA/g sample
Lys0.280.92mg AA/g sample
Table 4. The composition of major nutrients of fish waste bio-fertilizer.
Table 4. The composition of major nutrients of fish waste bio-fertilizer.
Ca%P%K%Ntotal%OC (Organic Carbon)%
1.44.16.235.9212.5
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Mahdavi, Z.; Esmailpour, B.; Azarmi, R.; Panahirad, S.; Ntatsi, G.; Gohari, G.; Fotopoulos, V. Fish Waste—A Novel Bio-Fertilizer for Stevia (Stevia rebaudiana Bertoni) under Salinity-Induced Stress. Plants 2024, 13, 1909. https://doi.org/10.3390/plants13141909

AMA Style

Mahdavi Z, Esmailpour B, Azarmi R, Panahirad S, Ntatsi G, Gohari G, Fotopoulos V. Fish Waste—A Novel Bio-Fertilizer for Stevia (Stevia rebaudiana Bertoni) under Salinity-Induced Stress. Plants. 2024; 13(14):1909. https://doi.org/10.3390/plants13141909

Chicago/Turabian Style

Mahdavi, Zahra, Behrouz Esmailpour, Rasul Azarmi, Sima Panahirad, Georgia Ntatsi, Gholamreza Gohari, and Vasileios Fotopoulos. 2024. "Fish Waste—A Novel Bio-Fertilizer for Stevia (Stevia rebaudiana Bertoni) under Salinity-Induced Stress" Plants 13, no. 14: 1909. https://doi.org/10.3390/plants13141909

APA Style

Mahdavi, Z., Esmailpour, B., Azarmi, R., Panahirad, S., Ntatsi, G., Gohari, G., & Fotopoulos, V. (2024). Fish Waste—A Novel Bio-Fertilizer for Stevia (Stevia rebaudiana Bertoni) under Salinity-Induced Stress. Plants, 13(14), 1909. https://doi.org/10.3390/plants13141909

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop