Citric acid–modified coconut shell biochar mitigates saline–alkaline stress in Solanum lycopersicum L. by modulating enzyme activity in the plant and soil
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Melisa Méndez-Martínez
, Antonio Juárez-Maldonado , Adalberto Benavides-Mendoza , Susana González-Morales , Mari Carmen López-Pérez und Fabian Pérez-Labrada
Abstract
Saline–alkaline stress negatively impacts agriculture by altering soil properties, reducing nutrient availability, and causes oxidative damage that limits plant growth. This study evaluated coconut shell biochar (CSB) functionalized with citric acid (BCA) or ascorbic acid (BAA) to mitigate saline–alkaline stress (50 mM NaCl + 10 mM NaHCO3) in tomatoes grown in calcareous soil (pH = 8.03). BCA and BAA were studied at low doses (0.0 g, 1.25 g, 2.50 g, 5.00 g and 10.00 g kg−1 soil), in addition to an unstressed treatment and treatment with saline–alkaline stress without CSB. Nutrient content (
1 Introduction
Agricultural soils are constantly exposed to stressful conditions that can limit their productive potential. Among these stressors, salinity and alkalinity are highly restrictive factors that are of economic importance. Salinity occurs when there is a high concentration of salts (Na+, Ca2+ and Mg2+ chlorides and/or sulfates) that reduce the osmotic potential (Ψo), limiting the absorption of water and nutrients and promoting an oxidative burst, ionic toxicity, and nutritional imbalance in the plant [1]. Alkaline stress is characterized by a high content of calcium carbonates and bicarbonates (CaCO3 and HCO3 −, respectively; >100 to 200 g kg−1 leads to a pH ≥ 7.0). In this environment the bioavailability of Fe, P, Mg, Mn, Zn, Cu, and B is limited, there is an alteration of the ionic balance (Na⁺/Ca2⁺, Na⁺/K⁺, Ca2+/Mg2+, and Cl−/NO3 −) [2], the rate of nitrogen mineralization is reduced, and an environment of low enzyme activity is promoted [3,4].
In addition, soils in arid and semi-arid environments have naturally unfavorable alkaline conditions for agriculture (low levels of organic matter, high carbonate content, pH > 7.0, low water retention capacity, and poorly developed structures), resulting in high susceptibility to intensive agricultural practices [5]. Thus, the excessive use of fertilizers in these soils causes the accumulation of CaCO3, MgCO3, NaCl, Na2SO4, NaHCO3, and Na2CO3, thereby inducing salinization and alkalinization [3]. Saline–alkaline stress in soils of arid and semi-arid regions causes severe morphological, biometric, physiological, and biochemical alterations that result in ionic, osmotic, and oxidative stress, which impair plant growth and development [1,6,7].
Under these adverse conditions, plants activate enzymatic (catalase and glutathione peroxidase) and non-enzymatic (vitamin C, phenols, and flavonoids) antioxidant defense systems to counteract the oxidative damage caused by reactive oxygen species (ROS). The main indicators of oxidative stress are hydrogen peroxide (H2O2) and malonaldehyde (MDA), which accumulate as products of lipid peroxidation, and proline, an osmoprotective amino acid that accumulates in plant tissues in response to osmotic imbalances. Simultaneously, saline–alkaline stress can reduce the activity of soil enzymes involved in nutrient cycling, such as alkaline phosphatase (ALP), urease, β-glucosidase, and N-acetylglucosaminidase, thereby reducing the availability of essential nutrients for plant growth [8,9].
Few studies have investigated the tolerance to these two types of stresses, so it is important to carry out work that seeks to mitigate the damage caused by saline–alkaline stress. Agricultural conversion strategies have been proposed to mitigate the adverse effects of intensive agriculture on soils through sustainable practices, the use of soil amendments, and innovative nutrient management approaches, such as the production of nitrogen and phosphorus fertilizers from small-scale ammonia processing systems, which provide alternatives for improving soil fertility in rural and resource-limited contexts [10,11]. In this same vein, the biochar (BioC; a carbon-rich solid material obtained by pyrolysis) is a potential amendment for mitigating the impact of salt–alkali stress. BioC applied to soil can improve its structure, water retention, cation exchange capacity, organic matter content, buffer pH, and bioavailability and uptake of N, P, K⁺, Ca2⁺, Mg2⁺, Mn, Fe, Cu, and Zn [12]. These conditions can favor plant growth and development under stressful situations. In addition, its high porosity favors root development in saline soils, whereas its functional groups promote macroaggregates and optimize nutrient cycling [13]. Owing to its versatility, BioC can be used in hydroponic systems [14], which also allows attenuation of the impact of saline and/or alkaline water. Recent studies have explored alternative raw materials for BioC production, including the use of disposable bamboo sticks, demonstrating its potential application in greenhouse cultivation as it improves the physical characteristics and productivity of romaine lettuce when applied at doses of 1.5 and 2.5% mixed with vermicompost and highlights the versatility of BioC derived from organic waste [15].
Owing to its alkaline nature, BioC can be functionalized (chemical modification of the BioC surface by incorporating functional groups) with organic acids to improve its physicochemical properties and expand its use in calcareous and alkaline-reactive soils. The incipient moisture impregnation method used in this study is simple, effective, and environmentally friendly, making the functionalization process potentially scalable for commercial applications. This technique increases the cation exchange capacity (CEC), specific surface area, adsorption capacity, and porosity, in addition to reducing the pH and removing impurities and heavy metals [16,17]. Recent studies have shown that the use of organic acids (citric or maleic acid) in combination with hydrothermal carbonization of lignocellulosic residues can produce BioC with a spherical structure and improved properties for use as an amendment in saline–alkaline soils owing to its acidity and content of functional groups, mainly −COOH [18].
Similarly, BioC from wheat straw treated with 0.01 M citric acid increases P availability and reduces the pH of alkaline calcareous soils [19]. Furthermore, Zhang et al. [9] found that the application of corn stalk BioC (63.2% C, 1.02% N, 0.26% P, and 0.62% K) at doses of 377.9 g 10 kg−1 of saline–alkali soil improved nitrogen assimilation enzyme activity (nitrate reductase, nitrite reductase, glutamine synthetase, and glutamate synthetase) and antioxidant activity (superoxide dismutase, catalase, and peroxidase), photosynthetic pigment synthesis, stomatal opening, and photosystem II activity in sugar beet. Although these studies demonstrate the potential of organic acid–modified biochar, the novelty of the present work lies in three aspects: (i) the use of coconut shell, a widely available and low-cost agricultural byproduct in tropical regions, as feedstock; (ii) the functionalization with citric acid, a mild, biodegradable, and environmentally benign organic acid that increases surface carboxyl groups and enhances cation exchange capacity without generating toxic residues; and (iii) the integrative evaluation of biochemical, physiological, and agronomic responses of tomato plants under combined saline–alkaline stress. These BioC soil ratios (g/kg), modification method, and stress condition have not been reported before, which constitutes the originality of our work. According to the research carried out, this is the first report to investigate citric acid–functionalized coconut shell biochar (CSB) in calcareous soil under such stress conditions. This constitutes the novelty of the present study. Therefore, this study aimed to verify if BioC functionalized with organic acids mitigates saline–alkaline stress in tomatoes cultivated in calcareous soil, through the improvement of enzymatic activity.
2 Materials and methods
The experiment was conducted in a tunnel greenhouse at the Department of Botany of the Universidad Autónoma Agraria Antonio Narro (UAAAN), Saltillo, Coahuila, Mexico.
2.1 Functionalization of BioC
Coconut shell BioC (CSB; obtained by slow pyrolysis at a maximum temperature of 500°C with a slow heating rate and over a prolonged period until a high degree of carbonization was achieved, pH 10.3 and EC of 4.3 dS m−1. According to the manufacturer, the maximum moisture content of the biomass was 18%, and the particle size corresponded to <30 US Std. mesh (≈0.6 mm), bulk density 0.55–0.70 g cm−3, maximum ash content 3.96%, water soluble 2–3%, surface area 80 m2 g−1, average pore radius 0.78 nm, iodine number 70 mg g−1, and BET surface area 70 m2 g−1; proximate and elemental analysis: fixed carbon, 70%; volatile matter, 16.5%; organic carbon, 55.7%; C/N ratio, 502; organic matter, 96%; total nitrogen, 0.11% [Dumas]; P, 0.06%; K, 0.74%; Ca, 0.14%; Mg, 0.04%; Na, 0.11%; S, 0.03%; Fe, 657 ppm; Cu, 51.73 ppm; Mn, 36.07 ppm; Zn, 24.05 ppm; and B, 14.9 ppm (Carbotecnia S.A de C.V., Jalisco Mexico) was functionalized following the incipient moisture impregnation method [17]. Briefly, CSB was placed in a solution of citric acid (CA, 10 mM) or ascorbic acid (AA, 10 mM) in a 1:20 (m/v) ratio for 24 h with sporadic agitation. This concentration of organic aids was selected based on previous studies [20], because this dose, in addition to being less expensive, is effective in modifying the functional groups and pH of BioC.
Finally, the solid was recovered by decantation and dried to constant weight at room temperature. During this step, approximately 200 g of material was lost, corresponding to the removal of excess solution and non-adsorbed fractions. The functionalized CSB was characterized using scanning electron microscopy (Philips, XL30 ESEM model equipped with an EDAX Genesis EDS system) and Fourier transform infrared spectroscopy (FTIR; Frontier FT-IR/NIR 110711, PIKE Technologies In.).
2.2 Treatments
To verify the response of the functionalized CSB to the mitigation of salt–alkali stress, low doses were studied. The treatments tested consisted of 1.25 g CSB functionalized with AA kg−1 soil (BAA1), 2.50 g CSB functionalized with AA kg−1 soil (BAA2), 5.00 g CSB functionalized with AA kg−1 soil (BAA3), 10.00 g CSB functionalized with AA kg−1 soil (BAA4), 1.25 g CSB functionalized with CA kg−1 soil (BCA1), 2.50 g CSB functionalized with CA kg−1 soil (BCA2), 5.00 g BioC functionalized with CA kg−1 soil (BCA3) and 10.00 g CSB functionalized with CA kg−1 soil (BCA4). In addition, there was an unstressed treatment without CSB (CK) and a saline–alkaline stressed treatment without CSB (SAS).
Saline–alkaline stress consisted of a solution of 50 mM NaCl and 10 mM NaHCO3, which was prepared in a nutrient solution container and applied via drench starting at stage BBCH-60 (second flower cluster; Biologische Bundesanstalt, Bundessortenamt, and Chemical Industry) and until the end of the experiment. This stress level was selected to simulate moderate to severe saline–alkaline conditions commonly reported in calcareous soils of arid and semi-arid regions [21,22]. This allows the protective effects of citric acid-functionalized BioC to be assessed under conditions that significantly hinder plant growth, while remaining within physiologically relevant ranges. This allows future studies to explore milder or gradient stress levels to evaluate the efficacy of BioC under more variable field conditions.
2.3 Plant material and management
‘Adrianna’ F1 saladette tomato seedlings were transplanted 26 days after germination into black polyethylene containers with 3 kg of calcareous soil (loam texture, 7.34% total carbonates, 0.99% organic matter, pH 8.03, EC 1.13 dS m−1). Before transplantation, the functionalized CSB was homogeneously mixed with soil. For crop nutrition, Steiner solution [23] at pH 6.35 and EC 2.45 dS m−1 was used, which was applied through a directed irrigation system according to crop water demand. After preparing the saline–alkaline stress, the nutrient solution presented a pH of 7.52 and an EC of 10.63.
2.4 Petiole cell extract (PCE)
When SAS treatment plants showed visual damage due to salt–alkali stress (chlorosis, necrosis, stiffer, brittle and smaller shoots and leaves, leaf curl and general reduction of vigor) (corresponding to the BBCH-72 stage; presence of recently set young fruit) petiole samples were collected and macerated to extract the juice where total soluble solids (TSS) (with Hanna Instruments HI96801 digital refractometer), total salinity (with LAQUAtwin-Salt-11 S071, HORIBA Scientific), as well as K+, Na+, NO3 − and Ca2+ concentration were measured with a nutrient monitoring kit (LAQUAtwin-K-11 S030, LAQUAtwin-Na-11 S022, LAQUAtwin-NO3-11 S040 and LAQUAtwin-Ca-11 S050 of HORIBA Scientific, respectively).
2.5 Soil solution, soil interstitial water (SS)
The SS samples were collected at the BBCH-80 stage with suction lysimeters (Irrometer Company, Inc. Riverside, CA, USA) placed at a depth of 15 cm at a distance of 5 cm from the stem at an angle of ≈ 60° and with a suction of –50 kPa. After 24 h, the samples were collected, and the electrical conductivity (EC), hydrogen potential (pH) (HI 98130-Hanna Instruments), redox potential (ORP, HM Digital ORP-200), total salinity (LAQUAtwin-Salt-11 S071), and concentrations of K+, Na+, NO3 −, and Ca2+ were measured in situ using a LAQUAtwin HORIBA nutrient monitoring kit. In addition, the total carbonate (carbonates and bicarbonates) content was quantified by colorimetry [24].
2.6 Agronomic parameters
Crop growth and development were evaluated at the end of the experiment by measuring the height with a flexometer, stem diameter with a digital caliper, number of leaves, number of clusters, yield per plant, and fresh and dry biomass of stems, leaves, and roots (Adventurer Pro digital scale, OHAUS).
2.7 Biochemical parameters in leaf tissue
During the BBCH-72 stage, leaf tissue samples were collected (between 10:00 and 12:00 h), placed on ice, frozen, and freeze-dried (model ECO-FD10PT, Biobase Meihua Trading Co., Ltd. Shandong, China) for 36 h. Finally, the samples were ground using a mortar and pestle and stored until further analysis.
Photosynthetic pigments (chlorophyll a, chlorophyll b, and total chlorophyll) [25], carotenoids [26], vitamin C content [27], total phenols [28], and total flavonoids [29] were determined in leaf tissue. Similarly, reduced glutathione, GSH [30], catalase, CAT [31], ascorbate peroxidase APX [32], glutathione peroxidase (GSH-Px [33] adapted from Ref. [30]), phenylalanine ammonium lyase (PAL) [34], Ribulose-1,5-bisphosphate carboxylase/oxygenase, RuBisCO [35,36], phosphoenolpyruvate carboxylase, PEPC [37] with modifications according to [38], and β-carbonic anhydrase, β-CA [39]. In the same tissue, some stress indicators, such as proline content [40], MDA [41], and H2O2, [41] were quantified. Except for β-carbonic anhydrase, readings were performed at the corresponding absorbances using a UV-Vis spectrophotometer (ME-UV1800; MesuLab Instruments Co., Ltd., Guangzhou City, China).
2.8 Soil enzyme activity
Soil sampling was carried out during the BBCH-72 stage, during which approximately 150 g of soil was collected at a depth of 10 cm and stored at 4°C. Alkaline phosphatase activity, ALP [42]), β-glucosidase, β-GLU [43], β-N-acetylglucosaminidase, NAG [44], urease [45], and fluorescein diacetate (FDA) hydrolysis [46] were determined on these samples using UV–Vis spectrophotometer. The data are expressed as the dry weight of the soil.
2.9 Experimental design and statistical analysis
The experiment was organized according to a randomized complete block design with ten treatments and four replicates per treatment (two plants per replicate). The blocking criterion was the location within the greenhouse to minimize potential effects of light or temperature gradients. However, a preliminary analysis indicated that the block effect was not significant; therefore, the data were subsequently analyzed according to a completely randomized design. Data was subjected to normality and homogeneity of variance tests, followed by one-way analysis of variance and a mean test Fisher’s least significant difference (p < 0.05) using the statistical program InfoStat 2020.
3 Results
The CSB functionalized with CA showed a pH of 7.90 ± 0.21 and EC of 0.20 ± 0.03 dS m−1, while the CSB functionalized with AA presented a pH of 7.17 ± 0.01 and EC of 0.16 ± 0.02 dS m−1.
3.1 SEM and FTIR analysis of the CSB and functionalized CSB
SEM analysis revealed significant modifications in the surface morphology of the CSB after functionalization (Figure 1). The image captured at a scale of 50 µm shows that the CSB has a relatively compact surface with irregular morphology and the presence of some low-definition pores, lamellar structures, and fractures, indicating the lignocellulosic nature of the original biomass. In addition, areas with higher brightness intensities were observed, suggesting the possible presence of mineral residues such as Ca2+, K+, and Si (Figure 1a). The micrograph of CSB functionalized with ascorbic acid (BAA) (Figure 1b) shows a more fragmented and porous structure, with greater surface roughness and areas with greater structural openness. Finally, the micrograph of the CSB functionalized with citric acid (BCA) showed a more disuniform surface with a greater formation of aggregates with possible modifications in its structure (Figure 1c).

SEM Imagenes of (a) Coconut shell BioC (CSB) taken at 500×-50 µm, (b) CSB functionalized with ascorbic acid taken at 400×-50 µm, and (c) CSB functionalized with citric acid taken at 400×-50 µm. EDX (Energy-dispersive X-ray spectroscopy coupled to SEM) elemental distribution maps of (d) CSB, (e) CSB functionalized with ascorbic acid (BAA), and (f) CSB functionalized with citric acid (BCA). Source: Authors’ original work.
The EDX-SEM elemental distribution maps (Figure 1d–f) showed that CSB presented scattered signals of C and O and minor traces of other elements such as Ca2+, K+, and Si, predominantly carbonaceous surface, and low heterogeneity (Figure 1d), while BAA showed increased presence and distribution of O, Cl–, K+, and Na+ (Figure 1e) and BCA greater uniformity in the distribution of O and other functional elements (Figure 1f).
Infrared spectroscopy by Fourier transform allowed the identification of peaks of functional groups present on the surface of the materials in the range of 4,000–500 cm−1 (Figure 2). In the spectrum corresponding to CSB, a broad band was observed at approximately 3,400 cm−1, corresponding to O–H stretching vibrations of hydroxyl groups, and a weak band was identified near 2,920 cm−1, associated with C–H stretching of aliphatic groups. In the region from 1,700 to 1,600 cm−1, a more pronounced band was evident for BAA and BCA than for CSB, attributed to C═O stretching of carboxyl groups (1,700 cm−1) and C═C stretching of aromatic structures (1,600 cm−1). In addition, a band around 1,400–1,380 cm−1, corresponding to C–H bending vibrations of aliphatic groups and/or COO− symmetric stretching, which is more intense for BAA and BCA, also stands out. Finally, in the region near 1,100 cm−1, signals attributable to C–O alcohols, ethers, or acids were observed.

FTIR Spectra of coconut shell BioC (CSB), ascorbic acid functionalized CSB (BAA), and citric acid functionalized CSB (BCA). Source: Authors’ original work.
3.2 PCE parameters of tomato plants under saline–alkaline stress grown in calcareous soil with the addition of functionalized biochar
Total salinity showed a consistent increase of up to 125% in BCA4 with respect to CK, with the BCA3 treatment promoting a reduction of 48.79% with respect to the SAS treatment. Likewise, the concentration of Na+ showed a notable increase in PCE under saline–alkaline stress (up to 2,000%) compared to non-stressed plants (CK). In particular, this ion showed a 23.4 and 23.1% reduction in PCE in plants treated with BAA3 and BCA1, respectively.
The NO3 –, K+, and Ca2+ contents showed an increase consistent with the application of the functionalized CSB; in the case of nitrate, the highest content was documented under the BCA2 (Δ80%) and BAA4 (Δ72%) treatments compared to the SAS treatment. For K+, the BCA4 and BCA2 treatments showed increases of 79 and 61%, respectively. Finally, the Ca2+ concentration increased in all treatments with respect to the CK control, highlighting treatments BCA1, BCA3, and BAA2 with 175.08, 104.44, and 100.36%, respectively. In the case of TSS, increases of 31.85, 30.44, and 10.77% were found in the PCE of plants developed under BCA2, BCA4, and BAA4, respectively, compared to the CK control (Table 1). The CSB treatments functionalized with CA showed better responses than those functionalized with AA.
Parameters quantified in petiole extract of tomato plants under saline–alkaline stress grown in calcareous soil with the addition of functionalized biochar
| T | TSS£ (°Brix) | TS (mg L−1) | NO3 − (mg L−1) | K+£ (mg L−1) | Na+£ (mg L−1) | Ca2+£ (mg L−1) |
|---|---|---|---|---|---|---|
| CK | 4.27 ± 1.09 | 5.73 ± 1.32bc | 2433.33 ± 617.34d | 3300.00 ± 907.38 | 103.33 ± 3.33 | 89.67 ± 6.74 |
| SAS | 3.4 ± 0.20 | 8.73 ± 1.28a−c | 3333.33 ± 683.94cd | 3333.33 ± 384.42 | 1153.33 ± 186.67 | 139.33 ± 38.48 |
| BAA1 | 4.6 ± 0.60 | 7.67 ± 3.19bc | 5200.00 ± 450.92a−c | 4666.67 ± 674.12 | 1666.67 ± 384.42 | 162.00 ± 69.09 |
| BAA2 | 3.87 ± 0.41 | 10.20 ± 1.01ab | 3966.67 ± 491.03a−d | 4433.33 ± 731.06 | 1300.00 ± 115.47 | 179.67 ± 64.60 |
| BAA3 | 3.43 ± 1.05 | 7.40 ± 1.93bc | 3866.67 ± 868.59a−d | 4366.67 ± 742.37 | 883.33 ± 265.35 | 176.67 ± 16.67 |
| BAA4 | 4.73 ± 0.19 | 10.10 ± 0.55ab | 5733.33 ± 448.45ab | 4966.67 ± 405.52 | 1383.33 ± 224.23 | 167.00 ± 55.76 |
| BCA1 | 2.93 ± 0.30 | 8.20 ± 1.65a−c | 3700.00 ± 901.85b−d | 3400.00 ± 763.76 | 886.67 ± 53.64 | 246.67 ± 65.66 |
| BCA2 | 5.63 ± 0.27 | 10.70 ± 0.26ab | 6000.00 ± 24.50a | 5366.67 ± 284.84 | 1266.67 ± 133.33 | 140.00 ± 35.12 |
| BCA3 | 4.13 ± 1.02 | 4.77 ± 3.07c | 3866.67 ± 976.96a−d | 3600.00 ± 950.44 | 1580.00 ± 830.50 | 183.33 ± 58.40 |
| BCA4 | 5.57 ± 0.20 | 12.93 ± 0.87a | 5066.67 ± 938.68a−c | 5966.67 ± 33.33 | 2233.33 ± 592.55 | 113.00 ± 24.27 |
| p-valor | 0.1261 | <0.05 | <0.05 | 0.663 | 0.0765 | 0.592 |
Mean values ± standard error (n = 3) within columns followed by the same letter are not significantly different (p > 0.05), £Non-parametric variables (Kruskal–Wallis’s test). T = treatment, CK = unstressed treatment, SAS = saline–alkaline stress without CSB, BAA1 = 1.25 g CSB functionalized with ascorbic acid kg−1 soil, BAA2 = 2.50 g CSB functionalized with ascorbic acid kg−1 soil, BAA3 = 5.00 g CSB functionalized with ascorbic acid kg−1 soil, BAA4 = 10.00 g CSB functionalized with ascorbic acid kg−1 soil, BCA1 = 1. 25 g CSB functionalized with citric acid kg−1 soil, BCA2 = 2.50 g CSB functionalized with citric acid kg−1 soil, BCA3 = 5.00 g CSB functionalized with citric acid kg−1 soil and BCA4 = 10.00 g CSB functionalized with citric acid kg−1 soil, TSS: total soluble solids, TS = total salinity.
3.3 SS parameters of tomato plants under saline–alkaline stress grown in calcareous soil with the addition of functionalized biochar
The pH increased by 6.02% in BCA2 with respect to SAS; however, there was no significant difference between the treatments. The ttreatments BCA3 and BCA4 showed a slight reduction with respect to SAS of 1.35 and 0.12%, respectively. The total salinity showed an increase of 297.53% with BCA1 compared to CK; however, treatments BCA3, BAA2, and BCA2 achieved reductions of up to 29.57, 25.71, and 23.87% with respect to SAS (Table 2). The ORP increased by 14.11% with respect to CK, whereas BCA4, BAA4, and BCA2 managed to reduce it by 20.32 and 0.82%, respectively. BCA4 reduced EC by 55.66% compared to SAS. The carbonate and bicarbonate contents were significantly reduced in BAA4 (84.11 and 70.27%, respectively). TSS dissolved in the SS presented an increase of up to 138.33% with the BAA3 and BCA1 treatments compared to CK, and at the same time, 7.51% higher than that in SAS (Table 2).
Parameters quantified in the soil solution of tomato plants under saline–alkaline stress grown in calcareous soil with the addition of functionalized biochar
| T | pH | CE£ (dS m−1) | ORP£ (mV) | TS (mg L−1) | NaHCO3 (mEq) | Na2CO3 (mEq) | TSS (°Brix) | Na+ (mg L−1) | K+ (mg L−1) | NO3 − (mg L−1) | Ca2+£ (mg L−1) |
|---|---|---|---|---|---|---|---|---|---|---|---|
| CK | 7.97 ± 0.04a | 3.47 ± 0.17a | 80.33 ± 3.18 | 2.03 ± 0.41b | 1.47 ± 0.13d | 0.33 ± 0.07d | 0.60 ± 0.06b | 326.67 ± 91.71b | 286.67 ± 18.56a | 650.00 ± 20.00c | 326.67 ± 29.63 |
| SAS | 8.13 ± 0.26a | 14.48 ± 0.68cd | 89.00 ± 2.89 | 7.00 ± 0.31a | 3.70 ± 0.06a | 1.70 ± 0.45a | 1.33 ± 0.09a | 2766.67 ± 240.37a | 453.33 ± 29.63a | 1166.67 ± 120.19a | 253.33 ± 43.72 |
| BAA1 | 8.43 ± 0.11a | 15.61 ± 0.47d | 89.67 ± 2.85 | 6.57 ± 1.07a | 2.77 ± 0.09b | 1.27 ± 0.09ab | 1.30 ± 0.20a | 2500.00 ± 513.16a | 436.67 ± 92.80a | 826.67 ± 86.67bc | 243.33 ± 40.96 |
| BAA 2 | 8.43 ± 0.08a | 15.37 ± 0.64d | 83.67 ± 7.88 | 5.20 ± 1.65ab | 1.50 ± 0.10d | 0.33 ± 0.03d | 1.13 ± 0.35ab | 1866.67 ± 721.88a | 316.67 ± 88.19a | 676.67 ± 157.20c | 313.33 ± 56.67 |
| BAA 3 | 8.26 ± 0.26a | 12.25 ± 0.04a−d | 91.67 ± 3.28 | 7.90 ± 1.10a | 2.27 0.15c | 1.00 ± 0.15bc | 1.43 ± 0.15a | 3133.33 ± 466.67a | 460.00 ± 66.58a | 903.33 ± 52.39abc | 270 ± 30.55 |
| BAA 4 | 8.35 ± 0.10a | 13.76 0.24b−d | 79.67 ± 4.33 | 5.73 ± 0.55a | 1.10 ± 0.00e | 0.27 ± 0.12d | 1.03 ± 0.03ab | 2033.33 ± 120.19a | 333.33 ± 28.48a | 796.67 ± 27.28bc | 243.33 ± 37.56 |
| BCA 1 | 8.26 ± 0.06a | 15.49 ± 0.20d | 91.33 ± 1.20 | 8.07 ± 0.52a | 2.77 ± 0.12b | 0.87 ± 0.27b−d | 1.43 ± 0.07a | 3166.67 ± 266.67a | 406.67 ± 29.06a | 970.00 ± 30.00ab | 273.33 ± 40.96 |
| BCA 2 | 8.45 ± 0.26a | 9.14 ± 0.10a−c | 79.67 ± 7.22 | 5.33 ± 0.99a | 2.43 ± 0.19c | 0.60 ± 0.06cd | 1.13 ± 0.13ab | 1933.33 ± 484.19a | 350.00 ± 25.17a | 813.33 ± 26.67bc | 250 ± 40.41 |
| BCA 3 | 8.02 ± 0.04a | 8.58 ± 0.47a−c | 82.33 ± 6.23 | 4.93 ± 1.35ab | 1.77 ± 0.09d | 1.03 ± 0.24bc | 1.00 ± 0.21ab | 1823.33 ± 705.13a | 300.00 ± 78.10a | 716.67 ± 121.70bc | 223.33 ± 8.82 |
| BCA 4 | 8.12 ± 0.17a | 6.42 ± 0.26ab | 64 ± 3.51 | 6.23 ± 1.82a | 2.27 ± 0.07c | 1.33 ± 0.18ab | 1.27 ± 0.30a | 2226.67 ± 785.31a | 330.00 ± 66.58a | 796.67 ± 118.93bc | 246.67 ± 48.07 |
| p-valor | >0.05 | 0.0015 | 0.0832 | >0.05 | >0.05 | >0.05 | >0.05 | >0.05 | >0.05 | >0.05 | 0.7636 |
Mean values ± standard error (n = 3) within columns followed by the same letter are not significantly different (p > 0.05), £Non-parametric variables (Kruskal–Wallis’s test), T = treatment, CK = unstressed treatment, SAS = saline–alkaline stress without CSB, BAA1 = 1.25 g CSB functionalized with ascorbic acid kg−1 soil, BAA2 = 2.50 g CSB functionalized with ascorbic acid kg−1 soil, BAA3 = 5.00 g CSB functionalized with ascorbic acid kg−1 soil, BAA4 = 10.00 g CSB functionalized with ascorbic acid kg−1 soil, BCA1 = 1. 25 g CSB functionalized with citric acid kg−1 soil, BCA2 = 2.50 g CSB functionalized with citric acid kg−1 soil, BCA3 = 5.00 g CSB functionalized with citric acid kg−1 soil and BCA4 = 10.00 g CSB functionalized with citric acid kg−1 soil, TS = total salinity, TSS = total soluble solids.
Na+ concentration revealed a remarkable increase in SS under saline–alkaline stress (up to 1004.66%) compared to that in non-stressed plants (CK). In particular, this ion showed 34.09, 32.53, and 30.12% reductions in SS in plants treated with BCA3, BAA2, and BCA2, respectively, compared to those treated with SAS. Similarly, K+ and NO3 − presented the same trend, showing a considerable increase in functionalized CSB applications with respect to the control (CK). For K+, treatments BAA3, BAA1, and BCA1 stood out with 60.46, 52.32, and 41.85% increases, respectively, compared to CK. BCA1, BAA3, and BAA1 showed the highest increases in NO3 − (49.23, 38.97, and 27.18%, respectively). Finally, Ca2+ concentration decreased in all treatments with respect to CK by up to 31.63% (Table 2).
3.4 Agronomic parameters of tomato plants under saline–alkaline stress grown in calcareous soil with the addition of functionalized biochar
Agronomic parameters showed an increase in tomato plants under saline–alkaline stress treated with functionalized CSB compared to those in SAS. The number of bunches increased by 9.52 and 7.23% in the BCA1, BCA2, and BAA2 treatment groups, respectively. Fresh weight was 29.41, 22.58, and 18.80% higher in BCA2, BCA4, and BCA1, respectively. The dry weight increased by 48.3, 41.5, and 38.6% with BCA2, BCA3, and BAA3, respectively. Relative root length showed a slight increase in BAA3, BCA3, and BCA1 treatments by 14.44, 10.79, and 10.64%, respectively, compared to SAS. Yield, fresh weight, and root dry weight were reduced with respect to CK and increased with respect to SAS by up to 43.03% with BCA1, 13.14% with BCA1, and 13.75% with BCA1 (Table 3).
Agronomic variables quantified in tomato plants under saline–alkaline stress grown in calcareous soil with addition of functionalized biochar
| T | NFC | FWAP (g) | DWAP (g) | PP (g) | RRL (cm) | RRFW (g) | RRDW (g) |
|---|---|---|---|---|---|---|---|
| CK | 6.38 ± 0.38a | 140.25 ± 6.44a | 32.75 ± 9.38a | 3395.63 ± 47.34d | 30.58 ± 1.52ab | 161.50 ± 41.91b | 31.81 ± 8.18 |
| SAS | 5.25 ± 0.25b | 119.00 ± 18.28a | 22.00 ± 4.63a | 996.88 ± 143.67bc | 27.70 ± 1.33b | 72.25 ± 6.69a | 14.25 ± 1.37 |
| BAA1 | 5.13 ± 0.24b | 127.13 ± 20.98a | 28.38 ± 2.75a | 1043.88 ± 16.52ab | 30.08 ± 1.61ab | 66.75 ± 2.67a | 13.28 ± 0.56 |
| BAA2 | 5.63 ± 0.24ab | 120.75 ± 19.41a | 30.00 ± 2.25a | 1087.00 ± 32.09b | 29.19 ± 2.03ab | 70.25 ± 2.19a | 13.88 ± 0.50 |
| BAA3 | 5.38 ± 0.31b | 123.13 ± 33.54a | 30.50 ± 1.97a | 1082.75 ± 18.81b | 31.70 ± 1.59a | 75.13 ± 5.83a | 14.91 ± 1.23 |
| BAA4 | 5.00 ± 0.41b | 132.50 ± 29.21a | 27.38 ± 3.40a | 750.13 ± 40.39a | 30.43 ± 0.73ab | 75.94 ± 6.79a | 15.03 ± 1.40 |
| BCA1 | 5.75 ± 0.32ab | 141.38 ± 18.09a | 26.88 ± 1.63a | 1425.88 ± 80.76cd | 30.65 ± 1.10ab | 81.75 ± 6.59ab | 16.21 ± 1.37 |
| BCA2 | 5.63 ± 0.31ab | 154.00 ± 8.86a | 32.63 ± 2.44a | 1076.75 ± 15.59b | 28.75 ± 1.06ab | 76.75 ± 4.05ab | 15.28 ± 0.80 |
| BCA3 | 5.50 ± 0.20b | 130.75 ± 22.92a | 31.13 ± 4.62a | 1089.63 ± 9.50b | 30.69 ± 0.73ab | 79.25 ± 4.78ab | 15.66 ± 0.97 |
| BCA4 | 5.63 ± 0.24ab | 145.88 ± 4.32a | 30.00 ± 4.02a | 998.00 ± 41.56ab | 28.91 ± 0.84ab | 65.38 ± 4.13a | 12.88 ± 0.83 |
| p-valor | <0.05 | <0.05 | <0.05 | <0.0001 | <0.05 | 0.0335 | 0.0582 |
Mean values ± standard error (n = 4) within columns followed by the same letter are not significantly different (p > 0.05), T = treatment, CK = unstressed treatment, SAS = saline–alkaline stress without CSB, BAA1 = 1.25 g CSB functionalized with ascorbic acid kg−1 soil, BAA2 = 2.50 g CSB functionalized with ascorbic acid kg−1 soil, BAA3 = 5.00 g CSB functionalized with ascorbic acid kg−1 soil, BAA4 = 10.00 g CSB functionalized with ascorbic acid kg−1 soil, BCA1 = 1. 25 g CSB functionalized with citric acid kg−1 soil, BCA2 = 2.50 g CSB functionalized with citric acid kg−1 soil, BCA3 = 5.00 g CSB functionalized with citric acid kg−1 soil, BCA4 = 10.00 g CSB functionalized with citric acid kg−1 soil, NFC = Number of flower clusters. FWAP = Fresh weight of aerial part. DWAP = Dry weight of aerial part. PP = Production per plant. RRL = Relative root length. RRFW = Relative root fresh weight. RRDW = Relative root dry weight.
3.5 Biochemical parameters of tomato plants under saline–alkaline stress grown in calcareous soil with the addition of functionalized biochar
The use of CSB functionalized with citric acid at a dose of 10 g kg−1 of soil (BCA4) promoted higher contents of chlorophyll a, chlorophyll b, and total chlorophyll (23.96, 29.02, and 27.20%, respectively). The chlorophyll a/b ratio was lower in all plants treated with functionalized CSB than in the absolute control and SAS, with BCA1 being 12.72% lower than that of CK and 15.78% lower than that of SAS. The presence of red carotenoids did not show significant differences; however, BCA1 was 20.65% lower than SAS, BCA4 was 8.95% higher than SAS, and 33.52% higher than CK (Table 4).
Estimated photosynthetic pigments in leaf tissue of tomato plants under saline–alkaline stress grown in calcareous soil with addition of functionalized biochar
| T | Chl a (mg 100 g−1 DW) | Chl b (mg 100 g−1 DW) | Chl total (mg 100 g−1 DW) | Chl a/Chl b Ratio | Red-pigm (mg 100 g−1 DW) |
|---|---|---|---|---|---|
| CK | 7.76 ± 1.49ab | 13.85 ± 1.37b | 21.61 ± 2.86b | 0.55 ± 0.06a | 26.07 ± 3.29 |
| SAS | 8.32 ± 0.86ab | 14.58 ± 0.41b | 22.89 ± 1.21ab | 0.57 ± 0.05a | 31.95 ± 0.79 |
| BAA1 | 7.60 ± 0.38ab | 14.50 ± 0.19b | 22.10 ± 0.57b | 0.52 ± 0.02a | 32.42 ± 0.91 |
| BAA2 | 8.58 ± 1.78ab | 15.55 ± 1.69ab | 24.14 ± 3.47ab | 0.54 ± 0.06a | 29.93 ± 4.16 |
| BAA3 | 7.91 ± 0.58ab | 14.65 ± 0.42b | 22.57 ± 0.91ab | 0.54 ± 0.03a | 31.95 ± 1.43 |
| BAA4 | 7.26 ± 0.52ab | 14.47 ± 0.66b | 21.73 ± 1.12b | 0.50 ± 0.03a | 30.94 ± 1.24 |
| BCA1 | 6.54 ± 0.98b | 13.53 ± 1.39b | 20.07 ± 2.37b | 0.48 ± 0.02a | 25.35 ± 5.18 |
| BCA2 | 7.84 ± 0.54ab | 15.76 ± 0.61ab | 23.59 ± 1.16ab | 0.50 ± 0.02a | 29.57 ± 2.16 |
| BCA3 | 7.52 ± 0.71ab | 14.70 ± 0.75b | 22.22 ± 1.46ab | 0.51 ± 0.03a | 29.73 ± 2.45 |
| BCA4 | 9.62 ± 0.18a | 17.87 ± 0.13a | 27.49 ± 0.27a | 0.54 ± 0.01a | 34.81 ± 0.21 |
| p-valor | >0.05 | >0.05 | >0.05 | >0.05 | 0.2163 |
Mean values ± standard error (n = 3) within columns followed by the same letter are not significantly different (p > 0.05), T = treatment, CK = unstressed treatment, SAS = saline–alkaline stress without CSB, BAA1 = 1.25 g CSB functionalized with ascorbic acid kg−1 soil, BAA2 = 2.50 g CSB functionalized with ascorbic acid kg−1 soil, BAA3 = 5.00 g CSB functionalized with ascorbic acid kg−1 soil, BAA4 = 10.00 g CSB functionalized with ascorbic acid kg−1 soil, BCA1 = 1. 25 g CSB functionalized with citric acid kg−1 soil, BCA2 = 2.50 g CSB functionalized with citric acid kg−1 soil, BCA3 = 5.00 g CSB functionalized with citric acid kg−1 soil, BCA4 = 10.00 g CSB functionalized with citric acid kg−1 soil.
Vitamin C concentration showed no significant difference, but treatments BAA1, BAA4, and BAA2 showed reductions of 8.73, 7.66, and 7.18%, respectively, compared to SAS. The use of CSB induced a higher production of total phenols with treatments BAA2, BAA4 and BAA1, by 7.42, 5.14 and 3.42% respectively, compared to SAS. In contrast, total flavonoids did not present a significant difference; BCA2 presented a greater reduction of this compound with respect to SAS by 59.65 and 68.95% compared to CK. BCA4 showed a different result, being 72.91% higher than SAS and 33.09% higher than CK. In the same sense, GSH concentration did not show significant differences; however, it showed that higher doses (BCA4) apparently promoted a higher concentration since it presented an increase of 152.42% with respect to SAS and 177.78% to CK (Table 5).
Non-enzymatic antioxidants were quantified in the leaf tissue of tomato plants under saline–alkaline stress grown in calcareous soil with the addition of functionalized biochar
| T | VC (mg AA g−1 DW) | Total phenols (mg EQ GA g−1 DW) | Flavonoids (mg EQ Q g−1 DW) | GSH (µM EQ GSH g−1 DW) |
|---|---|---|---|---|
| CK | 8.78 ± 0.16 | 1.67 ± 0.21ab | 6.86 ± 2.68 | 30.75 ± 5.20 |
| SAS | 8.35 ± 0.44 | 1.75 ± 0.29ab | 5.28 ± 3.12 | 33.84 ± 5.81 |
| BAA1 | 7.66 ± 0.61 | 1.81 ± 0.06a | 4.56 ± 2.77 | 11.32 ± 4.76 |
| BAA2 | 7.75 ± 0.73 | 1.88 ± 0.17a | 4.43 ± 2.14 | 9.69 ± 7.01 |
| BAA3 | 8.37 ± 0.23 | 1.79 ± 0.11a | 8.67 ± 3.25 | 29.12 ± 8.18 |
| BAA4 | 7.71 ± 0.51 | 1.84 ± 0.04a | 6.35 ± 2.59 | 20.95 ± 7.68 |
| BCA1 | 8.2 ± 0.25 | 1.53 ± 0.09ab | 4.57 ± 2.59 | 21.69 ± 6.02 |
| BCA2 | 8.71 ± 0.17 | 1.77 ± 0.32ab | 2.13 ± 0.15 | 33.84 ± 11.38 |
| BCA3 | 8.56 ± 0.18 | 1.69 ± 0.13ab | 4.91 ± 2.69 | 59.26 ± 37.03 |
| BCA4 | 7.86 ± 0.36 | 1.24 ± 0.20b | 9.13 ± 1.48 | 85.42 ± 16.27 |
| p-valor | 0.5138 | > 0.05 | 0.5283 | 0.0971 |
Mean values ± standard error (n = 3) within columns followed by the same letter are not significantly different (p > 0.05), T = treatment, CK = unstressed treatment, SAS = saline–alkaline stress without CSB, BAA1 = 1.25 g CSB functionalized with ascorbic acid kg−1 soil, BAA2 = 2.50 g CSB functionalized with ascorbic acid kg−1 soil, BAA3 = 5.00 g CSB functionalized with ascorbic acid kg−1 soil, BAA4 = 10.00 g CSB functionalized with ascorbic acid kg−1 soil, BCA1 = 1. 25 g CSB functionalized with citric acid kg−1 soil, BCA2 = 2.50 g CSB functionalized with citric acid kg−1 soil, BCA3 = 5.00 g CSB functionalized with citric acid kg−1 soil, BCA4 = 10.00 g CSB functionalized with citric acid kg−1 soil, VC = vitamin C, GSH = reduced glutathione.
The BAA3, BCA2, and BCA3 treatments increased GSH-Px activity by 774.58, 687.29, and 687.29%, respectively, with respect to SAS. Catalase activity was increased by 75.00, 62.12, and 51.51% with BCA2, BCA4, and BCA3 treatments, respectively, compared with SAS. In contrast, the use of CSB functionalized with citric acid at a dose of 1.25 g kg−1 reduced APX activity by 75.81% compared to SAS and 76.65% compared to CK. In contrast, PAL activity of BCA4 was 94.54% higher than that of SAS (Table 6).
Enzymatic antioxidants quantified in leaf tissue of tomato plants under saline–alkaline stress grown in calcareous soil with addition of functionalized biochar
| T | GSH-Px (µM EQ GSH·mL−1 min−1) | CAT (mM consumidos de H₂O₂ mL−1 min−1) | APX (µM H₂O₂ mL−1 min−1) | PAL (µM EQ TA mL−1 min−1) |
|---|---|---|---|---|
| CK | 73.97 ± 23.78ab | 101.78 ± 64.99b | 220.20 ± 66.93a | 3988.22 ± 1274.64bc |
| SAS | 18.49 ± 4.62b | 407.11 ± 142.24ab | 212.53 ± 113.44a | 3528.71 ± 1140.01bc |
| BAA1 | 93.13 ± 29.35ab | 462.62 ± 175.88ab | 204.86 ± 60.21a | 4065.35 ± 390.89bc |
| BAA2 | 114.31 ± 56.80ab | 379.35 ± 66.93ab | 148.08 ± 37.78a | 5689.16 ± 1102.38ab |
| BAA3 | 161.71 ± 77.78a | 478.04 ± 213.77ab | 185.68 ± 89.39a | 4808.78 ± 254.70abc |
| BAA4 | 91.11 ± 44.57ab | 592.16 ± 42.74a | 182.61 ± 112.68a | 3996.45 ± 1102.38bc |
| BCA1 | 110.27 ± 37.07ab | 434.87 ± 194.15ab | 51.41 ± 15.57a | 3052.36 ± 579.17c |
| BCA2 | 145.57 ± 30.26a | 712.44 ± 83.44a | 255.50 ± 81.74a | 2997.44 ± 533.09c |
| BCA3 | 145.57 ± 28.60a | 616.83 ± 82.12a | 168.03 ± 49.17a | 4742.60 ± 106.79abc |
| BCA4 | 86.07 ± 22.26ab | 660.01 ± 199.90a | 188.75 ± 18.84a | 6864.85 ± 643.02a |
| p-valor | >0.05 | >0.05 | >0.05 | >0.05 |
Mean values ± standard error (n = 3) within columns followed by the same letter are not significantly different (p > 0.05), T = treatment, CK = unstressed treatment, SAS = saline–alkaline stress without CSB, BAA1 = 1.25 g CSB functionalized with ascorbic acid kg−1 soil, BAA2 = 2.50 g CSB functionalized with ascorbic acid kg−1 soil, BAA3 = 5.00 g CSB functionalized with ascorbic acid kg−1 soil, BAA4 = 10.00 g CSB functionalized with ascorbic acid kg−1 soil, BCA1 = 1. 25 g CSB functionalized with citric acid kg−1 soil, BCA2 = 2.50 g CSB functionalized with citric acid kg−1 soil, BCA3 = 5.00 g CSB functionalized with citric acid kg−1 soil, BCA4 = 10.00 g CSB functionalized with citric acid kg−1 soil.
Regarding stress indicators, H2O2 showed a reduction among treatments (p > 0.05), but not with respect to SAS, with BAA2 being the treatment with the lowest concentration among CSB-treated plants (27.27% lower than CK and equal to SAS) and BCA2 being the treatment with the highest concentration (218.78 and 84.82% higher than CK and SAS, respectively) (Figure 3a). For MDA content, BCA2 treatment showed the lowest accumulation, with a content 34.31% lower than SAS, while BCA4 presented the highest accumulation (55.88% higher than SAS), but the difference was not significant (p = 0.3148) (Figure 3b). Finally, proline results indicated that BAA4 reduced 61.38% as a function of SAS, whereas BCA4 promoted higher production by 19.01% compared to CK (Figure 3c).

Stress indicators quantified in the leaf tissue of tomato plants under saline–alkaline stress grown in calcareous soil with the addition of functionalized biochar. (a) Malondialdehyde (MDA), (b) hydrogen peroxide (H2O2), (c) proline. Mean values ± standard error (n = 3) within columns followed by the same letter are not significantly different (p > 0.05), T = treatment, CK = unstressed treatment, SAS = saline–alkaline stress without CSB, BAA1 = 1.25 g CSB functionalized with ascorbic acid kg−1 soil, BAA2 = 2.50 g CSB functionalized with ascorbic acid kg−1 soil, BAA3 = 5.00 g CSB functionalized with ascorbic acid kg−1 soil, BAA4 = 10.00 g CSB functionalized with ascorbic acid kg−1 soil, BCA1 = 1.25 g CSB functionalized with citric acid kg−1 soil, BCA2 = 2.50 g CSB functionalized with citric acid kg−1 soil, BCA3 = 5.00 g CSB functionalized with citric acid kg−1 soil, BCA4 = 10.00 g CSB functionalized with citric acid kg−1 soil.
The activity of β-CA increased (p > 0.05) in BCA3, BAA4, and BAA3 by up to 47.65, 16.83, and 16.51%, respectively. RuBisCO activity was not significantly different (p = 0.1893); however, under BCA4 treatment, an increase of 22.85% with respect to SAS and 163.26% with respect to CK was observed. PEP carboxylase activity did not show significant differences (p = 0.5922); however, it was observed that lower doses of BAA (BAA1) resulted in a greater increase of 40.65% with respect to SAS, and with increasing doses (BAA3) resulted in a greater reduction of 64.83% with respect to SAS (Figure 4).

Enzymes associated with photosynthesis were quantified in the leaf tissue of tomato plants under saline–alkaline stress grown in calcareous soil with the addition of functionalized biochar. (a) Ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO), (b) β-carbonic anhydrase (βCA), (c) Phosphoenolpyruvate carboxylase (PEPC). Mean values ± standard error (n = 3) within columns followed by the same letter are not significantly different (p > 0.05), T = treatment, CK = unstressed treatment, SAS = saline–alkaline stress without CSB, BAA1 = 1.25 g CSB functionalized with ascorbic acid kg−1 soil, BAA2 = 2.50 g CSB functionalized with ascorbic acid kg−1 soil, BAA3 = 5.00 g CSB functionalized with ascorbic acid kg−1 soil, BAA4 = 10.00 g CSB functionalized with ascorbic acid kg−1 soil, BCA1 = 1. 25 g CSB functionalized with citric acid kg−1 soil, BCA2 = 2.50 g CSB functionalized with citric acid kg−1 soil, BCA3 = 5.00 g CSB functionalized with citric acid kg−1 soil, and BCA4 = 10.00 g CSB functionalized with citric acid kg−1 soil.
3.6 Enzymatic parameters of calcareous soil grown with tomato plants under saline–alkaline stress with the addition of functionalized biochar
Soil enzyme activity had a positive impact under CSB treatments. The ALP activity was significantly higher in the BAA3, BAA1, and BAA2 treatments, with increases of 108.31, 87.09, and 73.71%, respectively, compared to SAS (p = 0.0209) (Table 7). The activity of β-glucosidase (β-GLU) did not show significant differences between treatments (p = 0.1093); however, the activity of BAA2 was 40.21% lower than that of SAS. For β-N-acetylglucosaminidase (NAG), BAA1, BAA3, and BAA2 treatments increased by 20.01, 13.37, and 2.27%, respectively, although there were no statistically significant differences with respect to SAS (p > 0.05) (Table 7). The BAA1, BAA2, and BCA4 treatments increased FDA activity by 155.72, 64.92, and 23.67%, respectively, with respect to SAS; however, no significant differences were observed (p = 0.3749). Finally, the BCA3, BCA2, BAA2, and BCA4 treatments increased urease activity by 35.89, 17.94, and 15.38%, respectively, with respect to SAS, but the differences were not significant (p = 0.2116) (Table 7).
Enzyme activity of calcareous soil with the production of tomato plants under saline–alkaline stress with the addition of functionalized biochar
| T | ALP£ | β-GLU£ | NAG | FDA£ | Urease£ |
|---|---|---|---|---|---|
| CK | 1106.74 ± 291.72ab | 4733.47 ± 289.20 | 475.12 ± 60.66ab | 188.64 ± 56.18 | 0.40 ± 0.01 |
| SAS | 1594.82 ± 134.07abc | 537.64 ± 192.58 | 595.44 ± 228.04a | 67.28 ± 14.91 | 0.39 ± 0.06 |
| BAA1 | 2983.88 ± 182.15bc | 314.09 ± 68.87 | 714.59 ± 19.92a | 172.05 ± 83.92 | 0.43 ± 0.05 |
| BAA2 | 2770.39 ± 474.87bc | 215.00 ± 65.01 | 609.01 ± 82.04a | 110.96 ± 52.98 | 0.46 ± 0.07 |
| BAA3 | 3322.25 ± 21.03c | 227.97 ± 73.20 | 675.07 ± 69.55a | 58.57 ± 8.05 | 0.41 ± 0.05 |
| BAA4 | 1534.40 ± 720.91ab | 411.41 ± 71.52 | 564.18 ± 98.45ab | 60.38 ± 10.95 | 0.33 ± 0.01 |
| BCA1 | 1220.03 ± 342.39ab | 437.37 ± 190.92 | 560.05 ± 61.35ab | 78.77 ± 31.69 | 0.41 ± 0.09 |
| BCA2 | 947.13 ± 308.51a | 472.17 ± 104.47 | 586.60 ± 34.23ab | 78.28 ± 38.11 | 0.46 ± 0.03 |
| BCA3 | 754.95 ± 287.98a | 305.83 ± 80.87 | 320.58 ± 42.95b | 66.78 ± 1.30 | 0.53 ± 0.04 |
| BCA4 | 2398.62 ± 679.00abc | 415.54 ± 66.92 | 514.05 ± 29.90ab | 83.21 ± 18.75 | 0.45 ± 0.02 |
| p-valor | 0.0209 | 0.1093 | >0.05 | 0.3749 | 0.2116 |
Mean values ± standard error (n = 3) within columns followed by the same letter are not significantly different (p > 0.05), £Nonparametric variables (Kruskal–Wallis’s test), T = treatment, CK = unstressed treatment, SAS = saline–alkaline stress without CSB, BAA1 = 1.25 g CSB functionalized with ascorbic acid kg−1 soil, BAA2 = 2.50 g CSB functionalized with ascorbic acid kg−1 soil, BAA3 = 5.00 g CSB functionalized with ascorbic acid kg−1 soil, BAA4 = 10.00 g CSB functionalized with ascorbic acid kg−1 soil, BCA1 = 1. 25 g CSB functionalized with citric acid kg−1 soil, BCA2 = 2.50 g CSB functionalized with citric acid kg−1 soil, BCA3 = 5.00 g CSB functionalized with citric acid kg−1 soil, BCA4 = 10.00 g CSB functionalized with citric acid kg−1 soil. ALP = alkaline phosphatase (µg p-nitrophenol g–1 soil·h–1), β-GLU = β-glucosidase (µg p-nitrophenol·g–1 soil·h–1), NAG = β-N-Acetylglucosaminidase (µg p-nitrophenol·g–1 soil·h–1), FDA = fluorescein diacetate (FDA) hydrolysis (µg de fluorescein released·g–1 soil), Urease = mg N-NH4 + g−1 soil·h−1).
4 Discussion
4.1 SEM and FTIR analysis of CSB and functionalized CSB
The type of soil in which plants grow is a determining factor in their physiological responses to salt–alkali stress. In this study, the calcareous soil used seems to have increased the negative effects of saline–alkaline stress in plants without functionalized CSB by showing lower accumulation of antioxidant compounds and lower transient nutrient content in the CSB. In this context, the application of functionalized CSB at low doses may be a strategy to mitigate the damage caused by this type of stress [47]. This response may be associated with the fact that functionalization with CA and AA modified the biochar surface, promoting the addition of oxygenated functional groups, such as hydroxyl (−OH) and carbonyl (C═O), (C−O), carboxyl anion (COO−), and an alkyl (CH3) functional group on the CSB matrix (Figure 2), which amplified the nutrient retention capacity, cation exchange, and selective adsorption of Na⁺ [48]. Moreover, the functionalization of CSB with CA reduced the pH from 10.30 to 7.90 and with AA to 7.17, which favored nutrient bioavailability and decreased soil alkalinity, promoting better responses in tomato plants.
However, although SEM and FTIR characterization provided useful information on surface morphology and functional groups, the BET surface area, pore volume, and elemental composition of the functionalized BioC were not measured. According to the manufacturer, unmodified BSC had an iodine value of 70 mg g−1, a BET surface area of 70 m2 g−1, and an average pore radius of 0.78 nm. Therefore, the lack of evaluation of these parameters after functionalization represents a limitation of the present study, as changes in surface area, porosity, or C:N ratio could affect nutrient retention, adsorption capacity, and overall plant response under saline–alkali stress. Therefore, future studies should include these analyses to better understand the mechanisms underlying BioC performance.
4.2 PCE parameters of tomato plants under saline–alkaline stress grown in calcareous soil with the addition of functionalized biochar
High concentrations of soluble and alkaline salts, such as NaCl, NaHCO3, and Na2CO3, increase the Na+ content and decrease the uptake of K+, Ca2+, Mg2+, NO3 −, P, Zn, Fe, Mn, Cu, and B, causing osmotic, ionic, and oxidative stress [49]. In response to this environment, plants promote cytosolic Ca2+ signatures to activate protein kinases that modulate osmotic stress signaling [4]. In this study, an increase in Ca2+ was observed in all treatments compared with unstressed plants, highlighting BCA2 (175.08%), BCA3 (104.44%), and BAA2 (100.36%), which may indicate that these treatments promoted greater Ca2+ accumulation in the PCE, possibly modulating osmotic stress signaling.
In addition, exposure of plants to salinity and alkalinity conditions reduces
Furthermore, Barrow and Hartemink [52] emphasized that the effect of pH on nutrient availability depends not only on their chemical behavior in the soil, but also on the plant’s ability to absorb them, and that some nutrients, such as NO3 − and PO4 3−, may increase their concentration in the SS with increasing pH, but their uptake by the plant may decrease due to changes in transport mechanisms or ionic competition. Thus, the pH of functionalized CSB is considerably lower than that of unfunctionalized CSB, which may have favored the bioavailability and uptake of nutrients in the soil by reducing the pH of the rhizosphere medium to a level more suitable for nutrient solubility.
In addition to the effects of BioC on the soil matrix, CA itself might have contributed to stress mitigation since, as a mobile organic acid, it can chelate cations such as Ca2⁺, Mg2⁺, and Fe³⁺, improving their availability to plants under saline–alkaline conditions [20]. Furthermore, CA can transiently reduce soil pH and improve CEC, promoting nutrient uptake and alleviating ionic and osmotic stress [53].
Furthermore, our results suggest a synergistic effect between biochar and CA: while BioC alone improved soil structure and cation retention, the addition of CA enhanced nutrient availability and uptake, exceeding the levels observed with BioC alone. This synergy likely contributed to the increased NO3 −, K+, and Ca2+ contents observed in PCE, improving stress signaling, chlorophyll synthesis, and overall physiological performance of tomato plants under saline–alkaline stress.
These effects were observed in the results of this study by increasing the NO3
−, K+, and Ca2+ content in the PCE by up to 80, 79 and 175.08%, under the BCA2, BCA4 and BCA2 treatments, respectively, indicating a higher efficiency in the uptake of essential nutrients even under adverse conditions. This improvement may be due to the functional groups added through BCA functionalization, which also provided a greater number of cation exchange sites, pore spaces, and specific surface area and generated a lower pH (7.90) than the unfunctionalized CSB, which together facilitated the retention of toxic cations such as Na+ and controlled nutrient release and improved root structure and microbial activity. As observed by the FDA, treatments with CSB functionalized with AC and AA, except for BCA3, BAA4, and BAA3, were superior to SAS. These characteristics together improve the rhizosphere environment thereby favoring K⁺, Ca2⁺ and
The increase in NO3 – in the PCE of CSB-treated plants agrees with the findings of Tang et al. [54], who reported an increase in N uptake in plants grown in CSB-amended soils under saline conditions. Similarly, K+ concentrations increase due to plant efforts to regulate osmosis, membrane potential, and enzyme activity [55]. An increase in TSS concentration was also observed in treatments BCA2, BCA4, and BAA4, which may indirectly reflect the capacity for active osmotic regulation as part of the plant’s acclimatization mechanism to salt–alkaline stress [56].
4.3 Agronomic parameters of tomato plants under saline–alkaline stress grown in calcareous soil with the addition of functionalized biochar
The agronomic parameters of tomato plants (number of clusters, fresh and dry weight of vegetative part, length, fresh and dry weight of root) were improved by the addition of CSB compared to plants treated with SAS; these results are consistent with those reported by Soothar et al. [51], who added 30 and 45 g kg−1 of BioC in soil with 1–5% salts, and were able to improve plant height, leaf number, leaf area, shoot and root fresh and dry weight compared to the control in maize plants under salinity stress conditions. In this study, these improvements resulted in a performance increase of up to 43%, which interestingly corresponds to the lowest dose BCA1 treatment (1.25 g kg−1), while BCA4 treatment (10 g kg−1) mainly improved physiological characteristics such as chlorophyll content, antioxidant capacity, and stress response. This contrasting response could be related to differences in the modulation of the rhizosphere environment: low doses could provide sufficient functional groups and surface activity to improve nutrient availability and ionic homeostasis without excessively altering soil properties, thus directly favoring reproductive development and fruit set. Conversely, higher doses of BioC could have induced greater improvements in physiological stress signaling capacity, antioxidant responses, and ionic compartmentalization, which alleviated stress symptoms at the foliar and cellular levels, but did not translate proportionally into yield increases. Similar dose-dependent effects of BioC have been reported in other crops, where moderate or low applications maximize productivity, while higher applications are more effective in improving physiological stability than yield [57]. These improvements reflect an indirect effect of the enhanced characteristics of CSB after functionalization, which allows it to locally modulate the rhizosphere environment, even in soils with an alkaline reaction pH, probably by increasing the CEC and uptake of nutrients such as NO3 –, K+, and Ca2+ [58] as found in the CEP.
4.4 Biochemical parameters of tomato plants under saline–alkali stress with the addition of functionalized biochar
To counteract the adverse effects of salt–alkaline stress, such as excessive ROS accumulation and antioxidant imbalance, plants activate enzymatic and non-enzymatic defense systems, including APX, GSH, GSH-Px, CAT, vitamin C, phenolic compounds, proline (Pro), and flavonoids, which can neutralize, eliminate, or transform ROS [8,59]. In this study, the application of functionalized CSB favored the accumulation of GSH (BCA4 = 152.42%), GSH-PX (BAA3 = 774.58%), CAT (BCA2 = 75.00%), phenols (BAA2 = 7.42%), flavonoids (BCA4 = 152.42%), and PAL (BCA4 = 94.54%), suggesting that functionalized CSB promotes the overall antioxidant capacity of plants under saline–alkaline stress conditions.
In this experiment, BCA4 was superior to the other doses of BCA and BAA in increasing Pro content in leaf tissue by 19.01% compared to CK, although this value was 19.01% lower than that observed in SAS. The accumulation of Pro suggests an activation of defense mechanisms against stress, acting as an osmoprotector; therefore, the increase observed in BCA4 could be associated with a better capacity of plant tissue to resist stress compared to the other doses of functionalized CSB, although its efficacy was surpassed by SAS. These results agree with those reported by El-Sharkawy et al. [60] who mentioned that cotton stalk BioC modified with sulfuric acid (0.1 M; 1:100, w/v) increased Pro content in maize by 53.05% and wheat with 50.17% grown in saline-sodic soils. They also reported that CAT increased by 30.16 and 7.38% in both crops under the same conditions, similar to the data obtained in this study.
Likewise, the functional groups present in BioC probably play a determining role in the behavior of Pro and flavonoids, as they may have acted as chemical signals or modulators of the cellular redox state that promoted the production of compounds such as GSH, GSH-Px, CAT, and phenols, which are related to abiotic stress tolerance through the positive regulation of secondary metabolism under stress conditions [8]. This could be attributed to an increased stability of antioxidant enzymes and the preservation of cell membrane integrity promoted by the neutralization of ROS through the ascorbate-glutathione cycle, favored by the presence of phenolic (OH, COOH) and carboxylic (C═O, OH) groups on the surface of the functionalized biochar, which can act as direct donors or redox cofactors; in addition, they can improve the bioavailability and uptake of Fe, Cu, and Zn, which are essential for the activity of enzymes such as CAT and GSH-Px [60].
Similarly, BAA4 and BCA2 treatments achieved the highest reduction in MDA (32.35 and 31.37%, respectively) as a function of SAS, which may be due to the improved characteristics of CSB after functionalization, which maintained the integrity of cell membranes by reducing oxidative damage and lipid peroxidation. These results agree with those found by Zhang et al. [9] who when applying 377.9 g of BioC-based organic fertilizer 10 kg−1 of soil observed that the MDA content in the final growth stage of sugar beet under saline–alkaline stress conditions was reduced by 26% with respect to plants without BioC. Highlighting that, the treatments with better response correspond to considerably lower doses of CSB (10 g kg−1 in BAA4 and 2.5 g kg−1 in BCA2), which represents approximately 26.5 and 6.6% of the dose applied by the previously cited authors, respectively. These results can be attributed to the effect exerted by BioC on nutrient bioavailability, an efficient antioxidant response that protects against salt–alkaline stress [61].
H2O2 is one of the main indicators of oxidative stress in plants. In this experiment, it was observed that although the BAA2 treatment presented the lowest H2O2 accumulation, it did not have a direct correlation with the activity of APX and GSH-Px, GSH, Pro, and flavonoids, indicating that the reduction of H2O2 was mediated by other ROS detoxification compounds different from the ascorbate-glutathione cycle, such as phenolic compounds, since they presented a higher content in this treatment (7.42% > to SAS), because these molecules have a high capacity to donate electrons and stabilize free radicals, thus contributing to the reduction of oxidative stress without requiring direct intervention of the ascorbate-glutathione cycle. Thus, the decrease in H2O2 observed in BAA2 could be attributed to the protective effect of phenols, which represent an alternative defense mechanism against induced salt–alkali stress. These results agree with the findings of Hasanuzzaman et al. [8], who reported H2O2 reduction in jute plants under salt stress treated with 2 g of BioC + chitosan kg−1 of soil.
Another plant response to stress is the synthesis and accumulation of secondary metabolites, such as phenolic compounds and flavonoids, and the activation of the enzyme PAL [62]. In this study, the accumulation of flavonoids was increased by applying BCA3 and BCA4 which could indicate that higher doses decrease oxidative stress and improve nutrition by having higher capacity to adsorb toxic salts and ROS by the modified structure of the functionalized CSB. Deng et al. [63] reported an increase in phenol and flavonoid contents (4.4 and 19.5%, respectively) when applying BioC from pruning residues pyrolyzed at 500°C in tomato plants. In the same sense, it has been reported that citric acid applied to the soil can reduce the harmful effects of abiotic stress by stimulating the activity of antioxidant enzymes such as PAL [64]. Consistently, in this study, a greater increase in PAL activity was observed in the BCA4 treatment, which was 94.54% higher than that in SAS, suggesting that the functionalization of CSB with CA could promote the activation of this enzyme as part of the defense mechanism against saline–alkaline stress.
Net photosynthesis can mitigate oxidative and osmotic stress by providing the carbon skeletons necessary for the activation of primary and secondary metabolism [65]. In this sense, the BioC application can indirectly contribute to this process by improving soil physical and chemical conditions, favoring organic carbon sequestration, and reducing ionic toxicity. Under high-salinity conditions, Na+ accumulation hinders cellular ionic balance and reduces RuBisCO activity [66], causing an increase in photorespiration and a reduction in the rate of carbon fixation. To minimize this event, the enzymes β-CA and PEP carboxylase participate in atmospheric carbon fixation and CO2 channeling [67]. In this study, RuBisCO and PEP carboxylase increased with the use of CSB, suggesting a relative enhancement of the photosynthetic process under saline–alkaline stress conditions, which agrees with the increase in chlorophyll a, b, and total chlorophyll a in the BCA4 treatment (23.96, 29.02, and 27.20%, respectively). This response coincides with that reported by Zhang et al. [9], who described higher chlorophyll b concentrations and similar trends in chlorophyll a and total chlorophyll in sugar beets with BioC-based organic fertilizer applications under saline–alkaline stress, probably because BioC has the ability to enhance Mg and N uptake, which is fundamental in chlorophyll biosynthesis and the functioning of the photosynthetic system [68].
It is important to recognize that the reproducibility of the observed effects may vary depending on soil type, composition, and seasonal environmental fluctuations. Since saline–alkali stress is influenced by multiple soil and climatic factors, further validation under various conditions is required to confirm the general applicability of the results.
4.5 Enzymatic parameters of calcareous soil grown with tomato plants under saline–alkaline stress with addition of functionalized biochar
BioC contributes to the modulation of the physical, chemical, and biological properties of the soil, influencing enzymatic activity, mineral nutrition, and the microbiome [69]. Thus, BAA1, BAA2, and BCA4 treatments promoted soil enzymatic activity with respect to saline–alkaline stress conditions, suggesting that CSB could promote ALP, NAG, FDA, and urease activity, whereas β-GLU remained stable in soil under saline–alkali stress, suggesting that the treatments did not affect soil carbon transformation processes. This fact coincides with that reported by Egamberdieva et al. [70], who reported a 42% increase in FDA activity when BioC was added as an amendment.
The application of CSB functionalized with CA and AA promoted urease and ALP activity in saline–alkaline soils, as both enzymes are closely related to nutrient availability. Urease catalyzes the hydrolysis of urea to ammonium (NH4 +), which facilitates nitrogen utilization, whereas ALP hydrolyzes organic phosphorus compounds to release inorganic phosphate that will be available to the plant. These enzymes show their maximum catalytic speed in environments with slightly alkaline pH (between 7.5 and 9.0 for ALP and between 6.5 and 8.5 for urease), but their activity can be limited in conditions of high salinity or high EC. Thus, the decrease in EC, pH, and soil alkalinity observed with CSB application could have generated a favorable environment for its functioning, contributing to the improvement in the mineralization of essential nutrients [71]. The increase in ALP suggests a positive effect of the treatments on soil phosphorus mineralization. A recent study showed that BioC functionalization of bougainvillea pruning waste with CA could improve enzyme activity in heavy metal-contaminated soil by up to 145% urease activity and 59% ALP [72].
Similarly, the increase in β-N-acetylglucosaminidase activity observed in this study suggests a positive stimulation in the recycling of nitrogen compounds and in the activity related to chitin degradation. This is particularly beneficial under saline–alkaline stress conditions, where nitrogen mineralization is usually limited. The results obtained here agree with those described by Kracmarova-Farren et al. [73], who indicated that adding BioC from wood chips increased the activity of this enzyme. Similarly, BioC has the ability to protect extracellular enzymes from denaturation and degradation during prolonged exposure to saline–alkaline stress due to physical adsorption or covalent binding of enzymes to the porous surface of BioC [74], which leads to the promotion of soil health under saline–alkaline stress conditions in calcareous soils.
It is important to emphasize that this experiment covers only one single growth cycle, and long-term evaluations are needed to determine the persistence of the beneficial effects of citric acid-functionalized biochar in agricultural soils. Potential negative impacts, such as changes in microbial community structure or risks of organic acid leaching, were not assessed and should be addressed in future studies to ensure the environmental safety of large-scale applications.
5 Conclusions
The addition of CSB functionalized with organic acids to calcareous soil and under saline–alkaline stress improved the transient nutrient content (NO3 −, K+, and Ca2+) in the PCE and increased the yield of tomato plants. CSB functionalized with citric acid (BCA4, 10.00 g kg−1 soil) enhanced enzyme activity in soil (ALP, β-N-acetylglucosaminidase, FDA hydrolysis, and urease), and positively promoted enzymatic antioxidant system (GSH, GSH-Px, CAT, and PAL) and non-enzymatic (vitamin C, phenols, and flavonoids) enzymes involved in CO2 fixation (β-carbonic anhydrase, RuBisCO, and PEP carboxylase), thereby ameliorating salt–alkaline stress damage.
The use of CSB functionalized with citric acid represents a potential and sustainable strategy to reduce the physiological, biochemical, and nutritional damage to tomato plants grown in calcareous soil under saline–alkaline stress. However, complementary studies are required to validate its efficacy and persistence in the medium- and long-term.
Acknowledgments
MMM thanks Secretaría de Ciencia, Humanidades, Tecnología e Innovación (SECIHTI, Mexico) for PhD fellowship support (SECIHTI grant number (4017353)). MMM gratefully to Laboratorio Nacional Conahcyt de Ecofisiología Vegetal y Seguridad Alimentaria (LANCEVSA) – UAAAN for the facilities and equipment needed to conduct the experiment.
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Funding information: The authors state no funding involved.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and consented to its submission to the journal, reviewed all the results, and approved the final version of the manuscript. Conceptualization: FPL; methodology: MMM; sample collection: MMM; data curation: MMM and MCLP; data analysis: MMM, MCLP, and FPL; investigation: AJM, ABM, and SGM; validation: AJM, ABM, and SGM; writing – original draft: MMM and FPL; writing – review and editing: AJM, ABM, SGM, and MCLP; supervision: FPL; funding acquisition: FPL.
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Conflict of interest: The authors state no conflict of interest.
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Data availability statement: The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
[1] Li Z, Kekeli MA, Jiang Y, Rui Y. Progress and prospect of saline-alkaline soil management technology: a review. Appl Sci. 2025;15(8):4567. 10.3390/app15084567.Suche in Google Scholar
[2] İpek M, Eşitken A. Effects of rhizobacteria on plant growth and fruit quality of blackberry in alkaline soil. Selcuk J Agric Food Sci. 2022;36(3):374–8. 10.15316/sjafs.2022.050.Suche in Google Scholar
[3] Bolan N, Srivastava P, Rao CS, Satyanaraya PV, Anderson GC, Bolan S, et al. Distribution, characteristics and management of calcareous soils. Adv Agron. 2023;182:81–130. 10.1016/BS.AGRON.2023.06.002.Suche in Google Scholar
[4] Yang S, Xu Y, Tang Z, Jin S, Yang S. The impact of alkaline stress on plant growth and its alkaline resistance mechanisms. Int J Mol Sci. 2024;25(24):13719. 10.3390/ijms252413719.Suche in Google Scholar PubMed PubMed Central
[5] De la Rosa JM, Pérez Dalí S, Sánchez Martín AM, Márquez Moreno J, Campos P, Miller AZ, et al. Application of organic amendments produced from agricultural residues in calcareous soils. In: Arricibita Videgáin FJ, editor. XXXIII National Soil Meeting: Book of Abstracts; 2023 Jun 21–23. Pamplona-Iruña, Spain, Pamplona: Government of Navarra; 2023. p. 52–3.Suche in Google Scholar
[6] Xu X, Guo L, Wang S, Wang X, Ren M, Zhao P, et al. Effective strategies for reclamation of saline-alkali soil and response mechanisms of the soil-plant system. Sci Total Env. 2023;905:167179. 10.1016/J.SCITOTENV.2023.167179.Suche in Google Scholar PubMed
[7] Chen Z, Wang Q. Graphene ameliorates saline-alkaline stress-induced damage and improves growth and tolerance in alfalfa (Medicago sativa L.). Plant Physiol Biochem. 2021;163:128–38. 10.1016/J.PLAPHY.2021.03.039.Suche in Google Scholar PubMed
[8] Hasanuzzaman M, Raihan MRH, Khojah E, Samra BN, Fujita M, Nahar K. Biochar and chitosan regulate antioxidant defense and methylglyoxal detoxification systems and enhance salt tolerance in jute (Corchorus olitorius L.). Antioxidants. 2021;10(12):2017. 10.3390/antiox10122017.Suche in Google Scholar PubMed PubMed Central
[9] Zhang P, Yang F, Zhang H, Liu L, Liu X, Chen J, et al. Beneficial effects of biochar-based organic fertilizer on nitrogen assimilation, antioxidant capacities, and photosynthesis of sugar beet (Beta vulgaris L.) under saline-alkaline stress. Agronomy. 2020;10(10):1562. 10.3390/agronomy10101562.Suche in Google Scholar
[10] Romo-Bacco RCE, Parga-Montoya N, Montoya-Landeros MC, Cortés-Palacios HA, García-Vidales MY. Analysis of the establishment, development and future of agricultural reconversion. J Hum Earth Future. 2024;5(4):543–52. 10.28991/HEF-2024-05-04-01.Suche in Google Scholar
[11] Koestoer RH, Ligayanti T, Kartohardjono S, Susanto H. Down-streaming small-scale green ammonia to nitrogen-phosphorus fertilizer tablets for rural communities. Emerg Sci J. 2024;8(2):625–34. 10.28991/ESJ-2024-08-02-016.Suche in Google Scholar
[12] Chi W, Nan Q, Liu Y, Dong D, Qin Y, Li S, et al. Stress resistance enhancing with biochar application and promotion on crop growth. Biochar. 2024;6:43. 10.1007/s42773-024-00336-z.Suche in Google Scholar
[13] Puentes Escobar TC, Rodríguez Carlosama A. Impacto del biocarbón en el suelo agrícola. Av Investig Ing. 2021;18(2). 10.18041/1794-4953/avances.2.7540.Suche in Google Scholar
[14] Zhu C, Lin Z, Fen W, Jiajia W, Xiang Z, Kai C, et al. Suitability of coconut bran and biochar as a composite substrate for lettuce cultivation in aquaponic systems. Heliyon. 2024;10:e35515. 10.1016/j.heliyon.2024.e35515.Suche in Google Scholar PubMed PubMed Central
[15] Wijitkosum S, Sriburi T, Krutnoi L. Taking advantage of disposal bamboo chopsticks to produce biochar for greenhouse crop cultivation. Emerg Sci J. 2024;8(3):917–32. 10.28991/ESJ-2024-08-03-07.Suche in Google Scholar
[16] Sahin O, Gunes A, Yagcıoglu KD, Kadioglu YK. Mitigating combined boron and salt stress in lettuce (Lactuca sativa L. Semental) through salicylic acid-modified rice husk biochar. J Soil Sci Plant Nutr. 2024;24(3):5220–34. 10.1007/s42729-024-01903-w.Suche in Google Scholar
[17] Romero-Anaya AJ, Lillo-Ródenas MA, Salinas-Martínez De Lecea C, Linares-Solano A. Hydrothermal and conventional H3PO4 activation of two natural bio-fibers. Carbon. 2012;50:3158–69. 10.1016/j.carbon.2011.10.031.Suche in Google Scholar
[18] Pérez-Cabrera CA, Juárez-López P, Anzaldo-Hernández J, Alia-Tejacal I, Salcedo-Pérez E, Guillén-Sánchez D, et al. Chemical characterization of biochar from sugarcane tips produced by hydrothermal carbonization and addition of organic catalysts. Terra Latinoam. 2021;39:e936. 10.28940/TERRA.V39I0.936.Suche in Google Scholar
[19] Adil M. Citric acid acidification of wheat straw derived biochar for overcoming nutrient deficiency in alkaline calcareous soil (Case of Phosphorus). Int J Agric Sci Food Technol. 2022;8:248–52. 10.17352/2455-815X.000173.Suche in Google Scholar
[20] Mihoub A, Amin AE, Motaghian HR, Saeed MF, Naeem A. Citric acid–modified biochar (AC) improved available phosphorus concentration and its half-life in a calcareous sandy soil fertilized with P. J Soil Sci Plant Nutr. 2022;22:465–74. 10.1007/s42729-021-00662-2.Suche in Google Scholar
[21] Krid A, Oumassi F, Ennoury A, Kchikich A, Laabar A, El Meknassiya M, et al. Biostimulant effect of sargassum vulgare extract on morpho-physiological and biochemical traits of salt-stressed tomato plants (Solanum lycopersicum L). Waste Biomass Valor. 2024;15:6171–90. 10.1007/s12649-024-02589-y.Suche in Google Scholar
[22] Ganganelli IM, Alegre ML, Steelheart C, Baldet P, Rothan C, Bres C, et al. NaHCO3 impairs the growth and fruit yield of tomato plants. Plant Stress. 2024;11:100354. 10.1016/J.STRESS.2024.100354.Suche in Google Scholar
[23] Steiner AA. A universal method for preparing nutrient solutions of a certain desired composition. Plant Soil. 1961;15:134–54. 10.1007/BF01347224.Suche in Google Scholar
[24] Nag A, Gupta H. Physicochemical analysis of some water ponds in and around Santiniketan, West Bengal, India. Int J Env Sci. 2014;4(5):676–82. 10.6088/ijes.20140404045077.Suche in Google Scholar
[25] Nagata M, Yamashita I. Simple method for simultaneous determination of chlorophyll and carotenoids in tomato fruit. Nippon Shokuhin Kogyo Gakkaishi. 1992;39(10):925–8. 10.3136/nskkk1962.39.925.Suche in Google Scholar
[26] Hornero-Méndez D, Minguez-Mosquera MI. Rapid spectrophotometric determination of red and yellow isochromic carotenoid fractions in paprika and red pepper oleoresins. J Agric Food Chem. 2001;49:3584–8. 10.1021/jf010400l.Suche in Google Scholar PubMed
[27] Hung CY, Yen GC. Antioxidant activity of phenolic compounds isolated from Mesona procumbens Hemsl. J Agric Food Chem. 2002;50:2993–7. 10.1021/jf011454y.Suche in Google Scholar PubMed
[28] Singleton VL, Orthofer R, Lamuela-Raventós RM. Analysis of total phenols and other oxidation substrates and antioxidants by means of Folin-Ciocalteu reagent. Methods Enzymol. 1999;299:152–78. 10.1016/S0076-6879(99)99017-1.Suche in Google Scholar
[29] Turan M, Mammadov R. Antioxidant, antimicrobial, cytotoxic, larvicidal and anthelmintic activities and phenolic contents of Cyclamen alpinum. Pharmacol Pharm. 2018;9:100–16. 10.4236/pp.2018.94008.Suche in Google Scholar
[30] Xue T, Hartikainen H, Piironen V. Antioxidative and growth-promoting effect of selenium on senescing lettuce. Planta Soil. 2001;237:55–61. 10.1023/A:1013369804867.Suche in Google Scholar
[31] Dhindsa RS, Plumb-Dhindsa P, Thorpe TA. Leaf senescence: correlated with increased levels of membrane permeability and lipid peroxidation, and decreased levels of superoxide dismutase and catalase. J Exp Bot. 1981;32(1):93–101. 10.1093/jxb/32.1.93.Suche in Google Scholar
[32] Nakano Y, Asada K. Purification of ascorbate peroxidase in spinach chloroplasts; its inactivation in ascorbate-depleted medium and reactivation by monodehydroascorbate radicals. Plant Cell Physiol. 1987;28(1):131–40. 10.1093/oxfordjournals.pcp.a077268.Suche in Google Scholar
[33] Flohé L, Günzler WA. Assays of glutathione peroxidase. In: Packer L, editor. Methods in enzymology. San Diego: Academic Press; 1984. p. 114–20. 10.1016/S0076-6879(84)05015-1.Suche in Google Scholar
[34] Sykłowska-Baranek K, Pietrosiuk A, Naliwajski MR, Kawiak A, Jeziorek M, Wyderska S, et al. Effect of l-phenylalanine on PAL activity and production of naphthoquinone pigments in suspension cultures of Arnebia euchroma (Royle) Johnst. Vitro Cell Dev Biol Plant. 2012;48(5):555–64. 10.1007/s11627-012-9443-2.Suche in Google Scholar PubMed PubMed Central
[35] Usuda H. The activation state of ribulose 1,5-bisphosphate carboxylase in maize leaves in dark and light. Plant Cell Physiol. 1985;26(8):1455–63. 10.1093/oxfordjournals.pcp.a077047.Suche in Google Scholar
[36] Khan MIR, Nazir F, Asgher M, Per TS, Khan NA. Selenium and sulfur influence ethylene formation and alleviate cadmium-induced oxidative stress by improving proline and glutathione production in wheat. J Plant Physiol. 2015;173:9–18. 10.1016/j.jplph.2014.09.011.Suche in Google Scholar PubMed
[37] Studer AJ, Schnable JC, Weissmann S, Kolbe AR, McKain MR, Shao Y, et al. The draft genome of the C3 panicoid grass species Dichanthelium oligosanthes. Genome Biol. 2016;17:223. 10.1186/s13059-016-1080-3.Suche in Google Scholar PubMed PubMed Central
[38] Sun W, Ubierna N, Ma JY, Cousins AB. The influence of light quality on C4 photosynthesis under steady-state conditions in Zea mays and Miscanthus × giganteus: Changes in rates of photosynthesis but not the efficiency of the CO2 concentrating mechanism. Plant Cell Env. 2012;35(5):982–93. 10.1111/j.1365-3040.2011.02466.x.Suche in Google Scholar PubMed
[39] Wilbur KM, Anderson NG. Electrometric and colorimetric determination of carbonic anhydrase. J Biol Chem. 1948;176(1):147–54. 10.1016/S0021-9258(18)51011-5.Suche in Google Scholar
[40] Bates LS, Waldren RP, Teare ID. Rapid determination of free proline for water-stress studies. Plant Soil. 1973;39(1):205–7. 10.1007/BF00018060.Suche in Google Scholar
[41] Velikova V, Yordanov I, Edreva A. Oxidative stress and some antioxidant systems in acid rain-treated bean plants: Protective role of exogenous polyamines. Plant Sci. 2000;151:59–66. 10.1016/S0168-9452(99)00197-1.Suche in Google Scholar
[42] Tabatabai MA, Bremner JM. Use of p-nitrophenyl phosphate for assay of soil phosphatase activity. Soil Biol Biochem. 1969;1(4):301–7. 10.1016/0038-0717(69)90012-1.Suche in Google Scholar
[43] Eivazi F, Tabatabai MA. Glucosidases and galactosidases in soils. Soil Biol Biochem. 1988;20(5):601–6. 10.1016/0038-0717(88)90141-1.Suche in Google Scholar
[44] Parham JA, Deng SP. Detection, quantification and characterization of β-glucosaminidase activity in soil. Soil Biol Biochem. 2000;32:1183–90. 10.1016/S0038-0717(00)00034-1.Suche in Google Scholar
[45] Zhang C, Liu G, Xue S, Song Z. Rhizosphere soil microbial activity under different vegetation types on the Loess Plateau, China. Geoderma. 2011;161:115–25. 10.1016/J.GEODERMA.2010.12.003.Suche in Google Scholar
[46] Adam G, Duncan H. Development of a sensitive and rapid method for the measurement of total microbial activity using fluorescein diacetate (FDA) in a range of soils. Soil Biol Biochem. 2001;33:943–51. 10.1016/S0038-0717(00)00244-3.Suche in Google Scholar
[47] Yuan Q, Gao Y, Ma G, Wu H, Li Q, Zhang Y, et al. The long-term effect of biochar amendment on soil biochemistry and phosphorus availability of calcareous soils. Agriculture (Switzerland). 2025;15(5):458. 10.3390/agriculture15050458.Suche in Google Scholar
[48] Zhu S, Liu J, Tang G, Sun T, Jia H, Zhao H, et al. Evaluating the application potential of acid-modified cotton straw biochars in alkaline soils based on entropy weight TOPSIS. Agronomy. 2023;13(11):2807. 10.3390/agronomy13112807.Suche in Google Scholar
[49] Ma C, Li Q, Song Z, Su L, Tao W, Zhou B, et al. Irrigation with magnetized water alleviates the harmful effect of saline–alkaline stress on rice seedlings. Int J Mol Sci. 2022;23(17):10048. 10.3390/ijms231710048.Suche in Google Scholar PubMed PubMed Central
[50] Wang Y, Wang J, Guo D, Zhang H, Che Y, Li Y, et al. Physiological and comparative transcriptome analysis of leaf response and physiological adaption to saline alkali stress across pH values in alfalfa (Medicago sativa). Plant Physiol Biochem. 2021;167:140–52. 10.1016/J.PLAPHY.2021.07.040.Suche in Google Scholar
[51] Soothar MK, Hamani AKM, Sootahar MK, Sun J, Yang G, Bhatti SM, et al. Assessment of acidic biochar on the growth, physiology and nutrients uptake of maize (Zea mays L.) seedlings under salinity stress. Sustainability (Switzerland). 2021;13(6):3150. 10.3390/su13063150.Suche in Google Scholar
[52] Barrow NJ, Hartemink AE. The effects of pH on nutrient availability depend on both soils and plants. Plant Soil. 2023;487:21–37. 10.1007/s11104-023-05960-5.Suche in Google Scholar
[53] Barrow NJ, Debnath A, Sen A. Mechanisms by which citric acid increases phosphate availability. Plant Soil. 2018;423:193–204. 10.1007/s11104-017-3490-8.Suche in Google Scholar
[54] Tang C, Yang J, Xie W, Yao R, Wang X. Effect of biochar application on soil fertility, nitrogen use efficiency and balance in coastal salt-affected soil under barley–maize rotation. Sustainability (Switzerland). 2023;15(4):2893. 10.3390/su15042893.Suche in Google Scholar
[55] Fang S, Hou X, Liang X. Response mechanisms of plants under saline-alkali stress. Front Plant Sci. 2021;12:667458. 10.3389/fpls.2021.667458.Suche in Google Scholar PubMed PubMed Central
[56] Benavides-Mendoza A, de Alba-Romenus K, Francisco-Francisco N. Relation between soil solution composition and petiole cellular extract of crops in western Mexico. Terra Latinoam. 2021;39:e873. 10.28940/TERRA.V39I0.873.Suche in Google Scholar
[57] Khan Z, Khan MN, Zhang K, Luo T, Zhu K, Hu L. The application of biochar alleviated the adverse effects of drought on the growth, physiology, yield and quality of rapeseed through regulation of soil status and nutrients availability. Ind Crop Products. 2021;171:113878. 10.1016/j.indcrop.2021.113878.Suche in Google Scholar
[58] Farhangi-Abriz S, Ghassemi-Golezani K. The modified biochars influence nutrient and osmotic statuses and hormonal signaling of mint plants under fluoride and cadmium toxicities. Front Plant Sci. 2022;13:1064409. 10.3389/fpls.2022.1064409.Suche in Google Scholar PubMed PubMed Central
[59] Inayat H, Mehmood H, Danish S, Alharbi SA, Ansari MJ, Datta R. Impact of cobalt and proline foliar application for alleviation of salinity stress in radish. BMC Plant Biol. 2024;24(1):287. 10.1186/s12870-024-04998-6.Suche in Google Scholar PubMed PubMed Central
[60] El-Sharkawy M, El-Naggar AH, Al-Huqail AA, Ghoneim AM. Acid-modified biochar impacts on soil properties and biochemical characteristics of crops grown in saline-sodic soils. Sustainability (Switzerland). 2022;14(13):8190. 10.3390/su14138190.Suche in Google Scholar
[61] Mehdizadeh L, Farsaraei S, Moghaddam M. Biochar application modified growth and physiological parameters of Ocimum ciliatum L. and reduced human risk assessment under cadmium stress. J Hazard Mater. 2021;409:124954. 10.1016/J.JHAZMAT.2020.124954.Suche in Google Scholar
[62] Shahzadi J, Zaib-Un-Nisa, Ali N, Iftikhar M, Shah AA, Ashraf MY, et al. Foliar application of nano biochar solution elevates tomato productivity by counteracting the effect of salt stress insights into morphological physiological and biochemical indices. Sci Rep. 2025;15:3205. 10.1038/s41598-025-87399-5.Suche in Google Scholar PubMed PubMed Central
[63] Deng R, Lan Z, Shang X, Fang S. Effects of biochar application pyrolyzed at different temperatures on soil properties, growth and leaf secondary metabolite accumulation in Cyclocarya paliurus. Forests. 2022;13(10):1572. 10.3390/f13101572.Suche in Google Scholar
[64] Mohamed E, Abdelgalil SH, Shehata E. Amelioration of defense system by exogenous citric acid application to lettuce (Lactuca sativa L.) Plant. Hortic Res J. 2025;3(1):88–101. 10.21608/hrj.2025.418505.Suche in Google Scholar
[65] Sarraf M, Vishwakarma K, Kumar V, Arif N, Das S, Johnson R, et al. Metal/metalloid-based nanomaterials for plant abiotic stress tolerance: an overview of the mechanisms. Plants. 2022;11(3):316. 10.3390/plants11030316.Suche in Google Scholar PubMed PubMed Central
[66] Alkharabsheh HM, Seleiman MF, Hewedy OA, Battaglia ML, Jalal RS, Alhammad BA, et al. Field crop responses and management strategies to mitigate soil salinity in modern agriculture: A review. Agronomy. 2021;11(11):2299. 10.3390/agronomy11112299.Suche in Google Scholar
[67] Del Prete S, De Luca V, Capasso C, Supuran CT, Carginale V. Recombinant thermoactive phosphoenolpyruvate carboxylase (PEPC) from Thermosynechococcus elongatus and its coupling with mesophilic/thermophilic bacterial carbonic anhydrases (CAs) for the conversion of CO2 to oxaloacetate. Bioorg Med Chem. 2016;24:220–5. 10.1016/J.BMC.2015.12.005.Suche in Google Scholar
[68] Rosli NSM, Abdullah R, Yaacob JS, Razali RBR. Effect of biochar as a hydroponic substrate on growth, colour and nutritional content of red lettuce (Lactuca sativa L.). Bragantia. 2023;82:e20220177. 10.1590/1678-4499.20220177.Suche in Google Scholar
[69] Qiu Y, Wang Y, Zhang Y, Zhou L, Xie Z, Zhao X. Effects of adding different types and amounts of biochar to saline alkali soil on its salt ions and microbial community in northwest China. IScience. 2025;28:112285. 10.1016/j.isci.2025.112285.Suche in Google Scholar PubMed PubMed Central
[70] Egamberdieva D, Ma H, Alaylar B, Zoghi Z, Kistaubayeva A, Wirth S, et al. Biochar amendments improve licorice (Glycyrrhiza uralensis fisch.) growth and nutrient uptake under salt stress. Plants. 2021;10(10):2135. 10.3390/plants10102135.Suche in Google Scholar PubMed PubMed Central
[71] Zhang P, Bing X, Jiao L, Xiao H, Li B, Sun H. Amelioration effects of coastal saline-alkali soil by ball-milled red phosphorus-loaded biochar. Chem Eng J. 2022;431:133904. 10.1016/J.CEJ.2021.133904.Suche in Google Scholar
[72] Tauqeer HM, Lewińska K, Umar M, Mahmood F, Shahzad T, Sagheer F, et al. Induced phytomanagement of multi-metal polluted soil with Conocarpus erectus Supported by biochar, lignin, and citric acid. Minerals. 2024;14(11):1149. 10.3390/min14111149.Suche in Google Scholar
[73] Kracmarova-Farren M, Alexova E, Kodatova A, Mercl F, Szakova J, Tlustos P, et al. Biochar-induced changes in soil microbial communities: a comparison of two feedstocks and pyrolysis temperatures. Env Microbiome. 2024;19:87. 10.1186/s40793-024-00631-z.Suche in Google Scholar PubMed PubMed Central
[74] Elzobair KA, Stromberger ME, Ippolito JA. Stabilizing effect of biochar on soil extracellular enzymes after a denaturing stress. Chemosphere. 2016;142:114–9. 10.1016/J.CHEMOSPHERE.2015.03.018.Suche in Google Scholar
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