Sustainability Journal (MDPI)

2009 | 1,010,498,008 words

Sustainability is an international, open-access, peer-reviewed journal focused on all aspects of sustainability—environmental, social, economic, technical, and cultural. Publishing semimonthly, it welcomes research from natural and applied sciences, engineering, social sciences, and humanities, encouraging detailed experimental and methodological r...

Physical and Chemical Properties Evaluation of Liquid Organic Fertilizers...

Author(s):

Nuntavun Riddech
Department of Microbiology, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
My Ngan Ngo
Department of Microbiology, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
Sophon Boonlue
Department of Microbiology, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
Anoma Dongsansuk
Department of Agronomy, Faculty of Agriculture, Khon Kaen University, Khon Kaen 40002, Thailand
Supranee Santanoo
Salt-Tolerant Rice Research Group, Department of Biology, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
Piyada Theerakulpisut
Salt-Tolerant Rice Research Group, Department of Biology, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand


Year: 2025 | Doi: 10.3390/su17073087

Copyright (license): Creative Commons Attribution 4.0 International (CC BY 4.0) license.


[Full title: Physical and Chemical Properties Evaluation of Liquid Organic Fertilizers (LOFs) and Their Effects on Promoting Rice Growth]

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[Summary: This page is the first page of a study evaluating liquid organic fertilizers (LOFs) and their effects on rice growth. It includes publication information, copyright details, and author affiliations. The abstract summarizes the study's focus on LOFs as sustainable alternatives to chemical fertilizers, detailing the production, analysis, and effects of LOFs on rice under salt stress.]

Academic Editor: Yuxue Liu Received: 3 March 2025 Revised: 27 March 2025 Accepted: 28 March 2025 Published: 31 March 2025 Citation: Riddech, N.; Ngo, M.N.; Boonlue, S.; Dongsansuk, A.; Santanoo, S.; Theerakulpisut, P. Physical and Chemical Properties Evaluation of Liquid Organic Fertilizers (LOFs) and Their Effects on Promoting Rice Growth Sustainability 2025 , 17 , 3087 https://doi.org/10.3390/ su 17073087 Copyright: © 2025 by the authors Licensee MDPI, Basel, Switzerland This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/ licenses/by/4.0/). Article Physical and Chemical Properties Evaluation of Liquid Organic Fertilizers (LOFs) and Their Effects on Promoting Rice Growth Nuntavun Riddech 1 , My Ngan Ngo 1 , Sophon Boonlue 1 , Anoma Dongsansuk 2 , Supranee Santanoo 3 and Piyada Theerakulpisut 3, * 1 Department of Microbiology, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand; nunrid@kku.ac.th (N.R.); nmngan 64@gmail.com (M.N.N.); bsopho@kku.ac.th (S.B.) 2 Department of Agronomy, Faculty of Agriculture, Khon Kaen University, Khon Kaen 40002, Thailand; danoma@kku.ac.th 3 Salt-Tolerant Rice Research Group, Department of Biology, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand; suprsa@kku.ac.th * Correspondence: piythe@kku.ac.th Abstract: With growing importance in sustainable agriculture and environmental protection, the use of liquid organic fertilizers (LOFs) as a replacement for or supplement to chemical fertilizers has grown in popularity. The effectiveness of LOFs depends on the content of elemental nutrients as well as plant growth regulators. Three types of materials, i.e., brassica vegetables, mushrooms, and soybeans, were fermented for 60 days to produce LOFs. The soybean-based fertilizer (SOF) contained the highest concentrations of mineral nutrients (0.99% N, 0.11% P), organic carbon (6.75%), and IAA (24 µ g/mL), followed by the mushroom-based fertilizer (MOF) and brassica-based fertilizer (BOF). During fermentation, polyamines (PAs) in LOFs dramatically increased with time, with MOF and SOF containing higher concentrations of PAs than BOF. Greenhouse-grown rice ( Oryza sativa L.) plants at 21 d old were sprayed with diluted (1:75) solutions of LOFs or chemical fertilizers (CF) before being treated for 7 and 14 days with 100 mM NaCl. For both non-stress and salt-stress groups, the root and shoot dry weights, chlorophyll contents, net photosynthesis rates, and endogenous PAs of the LOFand CF-treated plants were significantly higher than those of the plants receiving no fertilizers. The SOF was the most effective and enhanced growth and photosynthesis at a similar level as the chemical fertilizer and had good potential to be employed as an eco-friendly substitute for chemical fertilizer Keywords: IAA; liquid organic fertilizer; Oryza sativa L.; polyamines; photosynthesis; spermine 1. Introduction Intensive use of chemical fertilizers over the past decades has led to significant soil deterioration and worsening environmental pollution. Reducing chemicals while increasing the use of organic fertilizers can benefit soil health, crop productivity, and environmental sustainability [ 1 ]. The application of organic fertilizers improves the soil organic matter, soil structure and water holding capacity, cation exchange capacity (CEC), nutrient availability, soil fauna community, and microbial activities, resulting in a significant increase in crop productivity [ 2 ]. Climate change and rising temperatures have brought about a variety of problematic soils, including increasing areas of salt-affected soils. The use of organic fertilizers has been reported to restore fertility to saline soils by increasing the CEC and macronutrient availability of the soils, improving water-holding capacity, and stimulating microbial biomass and activity [ 3 , 4 ]. Various forms of organic fertilizers not only improved Sustainability 2025 , 17 , 3087 https://doi.org/10.3390/su 17073087

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[Summary: This page continues the introduction, emphasizing the benefits of LOFs for sustainable farming and abiotic stress tolerance. It discusses the importance of evaluating LOF quality based on chemical and microbial properties, including plant growth regulators like polyamines (PAs). The study aims to investigate the potential of LOFs as eco-friendly nutrient sources and bio-remedies for plants exposed to salt stress.]

Sustainability 2025 , 17 , 3087 2 of 22 the physical properties of saline soils but also increased rice yield, yield components, and grain mineral contents [ 5 , 6 ]. Liquid organic fertilizers (LOFs), one of the common types of organic fertilizers, are widely used for sustainable farming to increase yield and protect the environment. It is effective and suitable for use in many ways, such as pouring, spraying, drip irrigation, and hydroponics. LOF is produced from agricultural residues or industrial wastes through fermentation [ 7 ]. LOF contains a considerable amount of macroand micro-nutrients in soluble forms that plants easily absorb. Furthermore, LOF is a good source of amino acids, plant hormones, and other substances [ 8 ]. LOFs produced from distillery slop and sugarcane leaves have been reported to enhance the growth and chlorophyll synthesis of Green Cos Lettuce ( Lactuca sativa var longifolia ) [ 7 ]. LOFs produced from maize residues and fecal sheep manure promoted biomass, nutrient uptake, and carbohydrate content in citrus plants [ 9 ]. LOFs also enhance plant tolerance to abiotic stress [ 10 ]. LOFs can be produced by farmers or companies using various materials, and their quality must be evaluated before use. Evaluation of the quality of LOFs is based on pH, electrical conductivity, and nutrient composition [ 11 , 12 ]. The phytotoxicity test of LOFs is also an important quality indicator to make sure that there is no presence of some toxic compounds that can pose a negative impact on plant growth [ 13 ]. Furthermore, an evaluation of the content of plant growth regulators (PGRs) and beneficial microorganisms gives a more precise prediction about their effects on plants and soils [ 7 ]. The presence of plant growth-regulating substances in LOFs gives extra benefits that distinguish LOFs from other forms of organic fertilizers and chemical fertilizers Auxin, gibberellins, and cytokinins are the main phytohormones commonly detected in LOFs and are most widely reported to enhance plant growth. These classical microbial phytohormones were widely reported to exhibit multifaceted regulatory roles in plant growth and development from seed germination to reproduction, flowering, fruit/seed development, and delayed senescence [ 14 ]. In contrast, polyamines (PAs), a group of plant growth-promoting regulators, have rarely been reported to be present in LOFs. PAs are organic compounds containing more than two amino groups that are widely present in almost all living organisms. Putrescine (Put), spermidine (Spd), and spermine (Spm) are major PAs in higher plants that regulate different aspects of plant growth, development, and tolerance to abiotic stresses, including salinity, drought, chilling, heat, and heavy metals, among others [ 15 ]. PAs are emerging as new plant growth regulators that effectively promote salt stress tolerance in plants [ 16 ]. Application of exogenous PAs enhanced salt tolerance by regulating ion channels, leading to inhibition of uptake and transport of the toxic Na + while maintaining K + absorption [ 17 ], increasing antioxidant capacity by activating reactive oxygen species scavenging enzymes [ 18 ] or directly quenching free radical molecules [ 19 ] and mitigating photosynthesis inhibition through thylakoid membrane stabilization and promoting chlorophyll biosynthesis [ 20 ]. As mentioned above, PAs have been shown to possess beneficial roles for plant growth and stress tolerance, but the information about these compounds in LOFs is still lacking In this study, we produced LOFs through fermentation of plant materials and mushrooms, which were documented to be rich in PA content. Chemical characteristics and phytotoxicity of the LOFs were investigated for their suitability and safety as an organic fertilizer. The presence of phytohormones, including IAA, GA, and PAs, as well as nutrient composition, was evaluated to provide information regarding the beneficial functions of LOFs on plant growth. Finally, the beneficial roles of LOFs in alleviating salt-stress effects on rice plants were investigated. The findings from this study are expected to highlight a potential use of LOFs as both eco-friendly nutrient sources and bio-remedy for plants

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[Summary: This page details the materials and methods used in the study, focusing on the production of LOFs from brassica vegetables, mushrooms, and soybeans. It describes the fermentation process, including the addition of molasses and microbial inoculants. It also outlines the sampling schedule for monitoring changes in pH, EC, total microorganism, and PA contents during fermentation.]

Sustainability 2025 , 17 , 3087 3 of 22 exposed to salt stress conditions and provide an alternative way to make use of agricultural wastes 2. Materials and Methods 2.1. Production of Liquid Organic Fertilizers (LOFs) Three types of biological samples rich in polyamines [ 21 ] viz. brassica vegetables, mushrooms, and soybean seeds, were used as starting materials for the production of LOF. The vegetables used were (1) cauliflower ( Brassica oleracea var botytris L.), broccoli ( B. oleracea var italica L.), and (2) mushrooms, including Pleurotus sajor-caju , P. ostreatus , and Lentinus edodes (Berk.) Sing. The fresh plant materials and mushrooms were purchased at a local market. For soybeans, dried seeds were soaked in water for at least 6 h before use The fresh materials were chopped into approximately 1–2.5 mm sized pieces. Each group of fresh starting materials was then analyzed for pH, electrical conductivity (EC), nutrient composition, and PA contents. The well-chopped plant materials (3 kg) were mixed with 1 kg of molasses, 1 L of distilled water, and 3 g of microbial inoculants. The microbial inoculants (namely Bodor 2, provided by the Department of Land Development, Ministry of Agriculture and Co-operatives, Thailand), which are specialized for fermenting LOF, were used to make the fermentation faster. Three replications were conducted for each LOF. All containers were placed in a shady area to avoid direct sunlight for 60 days. During the fermentation period, the samples were stirred every week. Sampling was taken on days 0, 15, 30, 45, and 60 to monitor the changes in pH, EC, total microorganism, and PA contents On day 60 of fermentation, the liquid extraction was separated by filtration and kept at 4 ◦ C. The finished LOFs, namely brassica-based LOF (BOF), mushroom-based LOF (MOF), and soybean-based LOF (SOF), were analyzed for nutrient compositions, plant growth promoting bacteria (PGPB), plant hormones (indole acetic acid (IAA) and gibberellic acid (GA)), polyamines (PAs), and phytotoxicity 2.2. Analysis of Chemical Parameters The changes in pH and EC were, respectively, measured using a pH meter (Starter 2100, Ohaus, Shanghai, China) and an EC meter (Five Easy FE 30-1, Mettler-Toledo, Colombus, OH, USA). Total N was analyzed using the Kjeldahl method. For total P and K, the samples were treated with wet oxidation and then assayed using a spectrophotometer (U-5100, Hitachi Hi-Tech, Tokyo, Japan) and atomic absorption spectrometer (Model GBC 932 AAA, Cambridge, UK), respectively. Organic matter (OM) and organic carbon (OC) were analyzed using the method from [ 22 ]. 2.3. Determination of Microbial Parameters The total microorganisms were recorded during fermentation at days 0, 15, 30, 45, and 60 by spreading plate technique on nutrient agar. At the end of fermentation, the number of plant growth-promoting bacteria (PGPB) was counted on selective agar for nitrogen-fixing bacteria (NFB) (Ashby’s medium), phosphorus solubilizing bacteria (PSB; NBRIP Agar), and potassium solubilizing bacteria (KBS; Aleksandrov medium). Meanwhile, pathogen populations ( E. coli and Salmonella ) were tested on MacConkey medium and Xylose Lysine Deoxycholate agar, respectively, using the spreading plate technique 2.4. Determination of Plant Hormones Detection of indoleacetic acid (IAA) was conducted using the method from [ 23 ] with slight modification. Three milliliters of LOF (diluted 20 times with distilled water) was placed in a fifty-milliliter Erlenmeyer flask, mixed with six milliliters of phosphate buffer (0.2 M, pH 7.0) and four milliliters of an L-tryptophan (5.3 g/kg LOF). All flasks were

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[Summary: This page continues the materials and methods section, detailing the analysis of chemical parameters such as pH, EC, total N, P, K, organic matter (OM), and organic carbon (OC). It also describes the methods used for determining microbial parameters, including total microorganisms and plant growth-promoting bacteria (PGPB). The methods for detecting indoleacetic acid (IAA) and gibberellic acid (GA) are also described.]

Sustainability 2025 , 17 , 3087 4 of 22 incubated (in dark condition) on a shaker set at 150 rpm, 40 ◦ C for 48 h. After incubation, the flasks were treated with 2 mL of 5% tri-chloroacetic acid and 1 mL of calcium chloride (0.5 M). The treated solutions were filtered through Whatman filter paper No.2. Three milliliters of the filtrate was placed in a glass tube, and two milliliters of the Salkowski reagent was added. All test tubes were placed in the dark for 30 min. The red color of the reacted product was measured using a spectrophotometer at 535 nm, and then IAA concentration ( µ g/mL) was estimated from an IAA standard curve For gibberellic acid (GA), a slightly modified protocol from [ 24 ] was followed. The LOF was centrifuged at 5000 rpm for 10 min. Later, 15 mL of supernatant was transferred to a 50 mL Erlenmeyer flask, then added with 2 mL of zinc acetate solution (21.9 g zinc acetate mixed with 1 mL of glacial acetic acid in a total volume of 100 mL by addition of distilled water). After 2 min, 2 mL of 10.6% potassium ferrocyanide (in distilled water) was added and centrifuged at 2000 rpm for 15 min. The supernatant was mixed with 30% HCl (1:1, v / v ratio) and incubated at 20 ◦ C for 75 min. For the blank, a solution of 5% HCl was used. Absorbance was recorded using a spectrophotometer (U-5100, Hitachi Hi-Tech, Tokyo, Japan) at 254 nm. The concentration of GA was calculated using the standard curve of GA standard (100–1000 µ g/mL) 2.5. Analysis of Polyamine (PA) Content For PA contents, the procedure from [ 25 ] was followed. All samples were kept at − 20 ◦ C before analysis. For the vegetables, mushrooms, and soybean materials, the samples were homogenized in liquid nitrogen into powder. One gram of tissue powder or one milliliter of LOF was extracted in 10 mL 5% per chloric acid (HClO 4 ) in an ice bath for 30 min. Then, all samples were centrifuged at 4 ◦ C, 12,000 rpm for 15 min. A 100 µ L aliquot of each extraction was placed in a 1.5 mL vial containing 100 µ L of sodium carbonate solution (0.22 g/mL). A 100 µ L volume of dansyl chloride solution (10 mg/mL in acetone) was added to the vials. All vials were incubated in the dark at 60 ◦ C for 1 h. An amount of 100 µ L of proline solution (100 mg/mL) was added to the mixture to remove the excess dansyl chloride and then incubated for 30 min. All vials were opened for 2 min (for evaporation of acetone). The dansylated polyamines were extracted by adding 500 µ L of toluene and vigorously vortexed for 30 s. Next, centrifugation was performed at 5000 rpm for 2 min to separate the mixture into 2 phases. The amount of 400 µ L toluene extraction was transferred to a new vial. All unclosed vials were dried at 60 ◦ C overnight. The polyamine residue was dissolved in 1 mL of acetonitrile. Finally, a 500 µ L volume of extraction was filtered through a 0.45 µ m pore size syringe filter, and 10–20 µ L was injected into an HPLC system (Shimadzu LC-20 System, Kyoto, Japan). Three PA standards (Put, Spd, and Spm) were prepared as stock solutions at the concentration of 20 mM in 0.01 N HCl. From stock solutions, gradient concentrations from 0.01 to 0.1 mM of each standard were made in 0.01 N HCl. These gradient standards were dansylated as described above. The correlation between concentration and peak area was calculated to draw the standard curve. The polyamine contents were determined by the HPLC system using gradient solvent ( v / v ) of acetonitrile/water at a flow rate of 1 mL min − 1 . Initially, the mixture of 70% acetonitrile and 30% water was pumped for 4 min. Next, the concentration of acetonitrile was increased to 100% and kept constant for 4 min. Lastly, the concentration of acetonitrile was returned to its initial condition at 70% for 5 min. The separation of PAs was finished in 15 min. The column used was Intensil ODS-3 (C 18 , 0.5 µ m particle diameter, 4.6 × 250 mm) Dansylated polyamines were detected by fluorescence spectrophotometer with excitation and emission wavelengths of 340 and 510 nm, respectively. The concentration of polyamine in each sample was converted using a standard curve.

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[Summary: This page further elaborates on the methods, specifically focusing on the analysis of polyamine (PA) content using HPLC. It details the extraction, derivatization, and quantification procedures for Put, Spd, and Spm. The page also describes the evaluation of phytotoxicity of LOFs using germination index (GI) and vigor index (VI) on tomato, rice, and pakchoi seeds.]

Sustainability 2025 , 17 , 3087 5 of 22 2.6. Evaluation of Phytotoxicity of LOF Phytotoxicity was determined through the germination index (GI) and vigor index (VI) of three tested plants, namely, tomato ( Solanum lycopersicum ), rice ( Oryza sativa L.), and pakchoi ( Brassica rapa subsp chinensis ) following the procedure from [ 26 ]. The LOF solutions were diluted with sterile water at three different ratios ( v / v ), increasing in dilution from 1:10, 1:50, to 1:100. The seeds were surface sterilized by soaking in 6% Clorox for 5–10 min and rinsed 3 times by autoclaved distilled water. The seeds were immersed in sterilized distilled water or diluted LOF solutions. One hour later, ten seeds were selected to place on a sterilized petri dish containing 2 layers of filter paper. Next, a 5 mL volume of each soaking solution was added to each plate. Then, all petri plates were incubated in the dark for 7 d. Sterilized water was added every 2 days to maintain moisture. On day 7, germination percentage, root length, and shoot length were measured to calculate GI and VI from the following equations: GI = (GR × RGI)/100 When: GR ( % ) = Number of seeds germinated in LOF solution Number of seeds germinated in distilled water × 100 RGI ( % ) = Mean root length in LOF solution Mean root length in distilled water × 100 VI = germination percentage × seedling length 2.7. Effects of LOF on Growth and Physiology of Rice Seedlings Seeds of an aromatic rice cultivar Khao Dawk MaLi 105 (KDML 105) were kindly provided by Khon Kaen Rice Research Center, Khon Kaen, Thailand. To sterilize the seed’s surface, the seeds were soaked for 5 min in 6% sodium hypochlorite ( v / v ). Then, they were rinsed in sterile water three times and incubated in the dark at 30 ◦ C for 48 h before being sown in a seedling tray. The uniformed 14-day-old seedlings were transplanted into black plastic pots containing 3.5 kg of paddy soil. Tap water was added daily and maintained at a level of 5 cm above the soil surface. One week later, when seedlings adapted well in the pots, different fertilizers were applied. The five treatments included CK: control (no fertilizer); BOF; MOF; SOF; and CF (chemical fertilizer containing N:P:K at 16:16:16) Five pots were set up for each treatment, with five plants in each pot, and three plants were randomly selected for growth and physiological measurements. The LOF was prepared by diluting it with water at the ratio of 1:75 ( v / v ), while the NPK fertilizer was dissolved in water (5 g/L). Each pot was sprayed with 50 mL of prepared LOF or chemical fertilizer twice per day (in the early morning and after 5.30 pm) for seven days. For the control treatment, distilled water was used instead. At 30 d old, to create salt stress conditions, seedling pots were divided into two groups, control and salt-treated, with five fertilizer treatments for each group. For the salt-treated pots, the flooded water was drained and replaced with 100 mM NaCl solution, while the control pots were replaced with fresh tap water. Salinity exposure was maintained for 14 days. On days 7 and 14, after adding NaCl (DAT), leaf gas exchange was measured, and leaf tissues were sampled and stored at − 20 ◦ C for analysis of chlorophyll and proline For an estimation of chlorophyll, each 0.1 g leaf sample was extracted in 80% acetone, and the absorbance was measured at 663 and 645 nm in the spectrophotometer (U-5100,

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[Summary: This page concludes the materials and methods section, describing the experimental setup for evaluating the effects of LOFs on rice growth and physiology under salt stress. It details the fertilizer treatments, salt stress conditions, and measurements of chlorophyll content, proline content, and photosynthetic traits. The statistical analysis methods used in the study are also mentioned.]

Sustainability 2025 , 17 , 3087 6 of 22 Hitachi Hi-Tech, Tokyo, Japan). Chlorophyll content (mg/g FW) was calculated based on the formulas below [ 27 ]: Chlorophyll a = (12.7 A 663 − 2.69 A 645 ) × (V/1000 W) (1) Chlorophyll b = (22.9 A 645 − 4.68 A 663 ) × (V/1000 W) (2) Total chlorophyll = (20.2 A 645 + 8.02 A 663 ) × (V/1000 W) (3) where V = volume of acetone (mL), and W = weight of leaf tissue (g) For the analysis of proline content, 0.1 g of leaf sample was ground in liquid nitrogen, and free proline was extracted with 3% ( w / v ) sulfosalicylic acid. After centrifugation, the supernatant was treated following the protocol of Bates et al. [ 28 ]. L-proline was used to construct a standard curve. The amount of proline was expressed in µ mol/g FW All photosynthetic traits were measured from 9.00 to 11.30 on the middle of the third leaf from the top of plants using a LI-6400 xt portable photosynthesis system (Li-cor Inc, Lincoln, NE, USA). Gas exchange parameters, including net photosynthesis rate (Pn), stomatal conductance (Gs), and transpiration rate (Tr), were recorded under the conditions of the photosynthetic photon flux density at 1200 µ mol m − 2 s − 1 and the CO 2 concentration at 400 µ mol mol − 1 . Water-use efficiency (WUE) was calculated from the ratio Pn/Tr For polyamine analysis, fresh leaf (collected at 7 DAT and 14 DAT) was homogenized in liquid nitrogen and stored at − 20 ◦ C before extraction. Polyamines were extracted and analyzed as described in Section 2.5 . On 14 DAT, rice plants were uprooted, and the underground and aboveground parts were separated, washed, and dried in a hot air oven at 70 ◦ C for 3–4 days until the dry weight stabilized. The dried root weight (DRW) and dried shoot weight (DSW) were recorded 2.8. Statistical Analysis Data obtained in this study were analyzed using one-way analysis of variance (ANOVA). The mean values were compared based on the least significant difference (LSD) test at the p value lower than 0.05 level. Data sorting and figure preparation were performed using Microsoft Excel 2010, and Statistix 8.0 was used for statistical analysis 3. Results 3.1. Physicochemical Parameters of Liquid Organic Fertilizers (LOFs) All fresh materials had neutral pH 1:5 (6.4–6.8) and low EC (1.4–1.8 dS/m). The changes in pH and EC of the three LOFs during fermentation were introduced in Figure 1 . At the beginning of the fermentation process, the pH of all LOFs was about 4.2–4.8, then slightly decreased to 4.0–4.2 on day 15. These pH values mildly fluctuated around these values for the next 30 days, then increased and maintained between 5.2 and 5.5 on day 60. The EC of LOFs gradually increased with time. At the beginning, the EC values of LOFs were about 15 to 16 dS/m, then steadily rose during fermentation time and finally reached 21–24 dS/m on day 60 The information about the nutrient compositions of the fresh starting materials is shown in Table 1 . The total N and organic matter (OM) among them were not much different, while the amount of total P and K highly differed ( p < 0.01). Among the three starting materials, soybeans had the highest amount of total N (0.65%), followed by that of mushrooms (0.56%) and brassica (0.41%). Fresh mushrooms had the highest amount of total P (0.1%), which was significantly higher than those in brassica (0.07%) and soybean (0.05%). The raw materials of brassica contained the highest amount of total K (0.51%),

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[Summary: This page presents the results of the study, starting with the physicochemical parameters of the LOFs. It describes the changes in pH and EC during fermentation and presents the nutrient compositions of the fresh starting materials. The ANOVA tables are referenced in the supplementary materials. This page also contains duplicate text from page 6.]

Sustainability 2025 , 17 , 3087 7 of 22 followed by mushrooms (0.46%) and soybeans (0.23%). The highest amounts of OM and OC were found in the raw material of soybean (88.02% and 50.89%, respectively). Brassica and mushrooms had similar amounts of OM (78.13 and 76.47%, respectively) and OC (45.24 and 44.39%, respectively) Sustainability 2025 , 17 , x FOR PEER REVIEW 6 of 23 Chlorophyll a = (12.7 A 663 − 2.69 A 645 ) × (V/1000 W) (1) Chlorophyll b = (22.9 A 645 − 4.68 A 663 ) × (V/1000 W) (2) Total chlorophyll = (20.2 A 645 + 8.02 A 663 ) × (V/1000 W) (3) where V = volume of acetone (mL) ,and W = weight of leaf tissue (g). For the analysis of proline content, 0.1 g of leaf sample was ground in liquid nitrogen, and free proline was extracted with 3% ( w / v ) sulfosalicylic acid. After centrifugation, the supernatant was treated following the protocol of Bates et al. [28]. L-proline was used to construct a standard curve. The amount of proline was expressed in µmol/g FW. All photosynthetic traits were measured from 9.00 to 11.30 on the middle of the third leaf from the top of plants using a LI-6400 xt portable photosynthesis system (Li-cor Inc, Lincoln, NE, USA). Gas exchange parameters, including net photosynthesis rate (Pn), stomatal conductance (Gs), and transpiration rate (Tr), were recorded under the conditions of the photosynthetic photon fl ux density at 1200 µmol m –2 s –1 and the CO 2 concentration at 400 µmol mol –1 Water-use e ffi ciency (WUE) was calculated from the ratio Pn/Tr. For polyamine analysis, fresh leaf (collected at 7 DAT and 14 DAT) was homogenized in liquid nitrogen and stored at − 20 °C before extraction. Polyamines were extracted and analyzed as described in Section 2.5. On 14 DAT, rice plants were uprooted, and the underground and aboveground parts were separated, washed, and dried in a hot air oven at 70 °C for 3–4 days until the dry weight stabilized. The dried root weight (DRW) and dried shoot weight (DSW) were recorded. 2.8. Statistical Analysis Data obtained in this study were analyzed using one-way analysis of variance (ANOVA). The mean values were compared based on the least signi fi cant di ff erence (LSD) test at the p value lower than 0.05 level. Data sorting and fi gure preparation were performed using Microsoft Excel 2010, and Statistix 8.0 was used for statistical analysis. 3. Results 3.1. Physicochemical Parameters of Liquid Organic Fertilizers (LOFs) All fresh materials had neutral pH 1:5 (6.4–6.8) and low EC (1.4–1.8 dS/m). The changes in pH and EC of the three LOFs during fermentation were introduced in Figure 1. At the beginning of the fermentation process, the pH of all LOFs was about 4.2–4.8, then slightly decreased to 4.0–4.2 on day 15. These pH values mildly fl uctuated around these values for the next 30 days, then increased and maintained between 5.2 and 5.5 on day 60. The EC of LOFs gradually increased with time. At the beginning, the EC values of LOFs were about 15 to 16 dS/m, then steadily rose during fermentation time and fi nally reached 21–24 dS/m on day 60. Figure 1. Change in pH ( A ) and EC ( B ) in liquid organic fertilizers during 60 days of fermentation (BOF, brassica-based liquid fertilizer; MOF, mushroom-based liquid fertilizer; SOF, soybean-based liquid fertilizer) Table 1. Nutrient composition in the three groups of original fresh materials and finished fertilizers after 60 days of fermentation Original Fresh Materials (Dry Weight) After 60 Days of Fermentation (in Liquid Extraction) Parameters Brassica Mushrooms Soybean BOF MOF SOF Total N (%) 0.41 ± 0.013 c 0.56 ± 0.03 b 0.65 ± 0.006 a 0.32 ± 0.02 b 0.44 ± 0.10 b 0.99 ± 0.11 a Total P (%) 0.07 ± 0.003 b 0.10 ± 0.01 a 0.05 ± 0.001 c 0.06 ± 0.004 b 0.1 ± 0.06 a 0.11 ± 0.02 a Total K (%) 0.51 ± 0.03 a 0.46 ± 0.004 b 0.23 ± 0.001 c 1.23 ± 0.02 a 1.34 ± 0.01 a 1.2 ± 0.01 a Total Na (mg/L) - - - 218 ± 9.8 ab 236 ± 28 a 182 ± 14 b OM (%) 78.13 ± 3.08 b 76.47 ± 1.50 b 88.02 ± 1.35 a 6.94 ± 0.24 b 9.39 ± 1.47 a 11.62 ± 1.27 a OC (%) 45.24 ± 1.92 b 44.39 ± 0.82 b 50.89 ± 2.78 a 4.06 ± 0.12 c 5.48 ± 0.76 b 6.75 ± 0.77 a C/N 107.3 ± 0.46 a 80.4 ± 0.35 b 79.2 ± 0.32 c 12.96 ± 0.56 a 12.77 ± 2.16 a 6.87 ± 0.95 b Mean values ± SD (n = 3) in the same row of each group followed by different letters indicate significant differences at p < 0.05 by the LSD test. (BOF, brassica-based liquid fertilizer; MOF, mushroom-based liquid fertilizer; SOF, soybean-based liquid fertilizer) After 60 days of fermentation, all liquid extraction of LOFs was analyzed for macronutrients and OM (Table 1 ). All three LOFs were rich in N, P, and K. The amount of N in SOF (0.99%) was more than twice that in MOF (0.44%) and more than three times that in BOF (0.32%). The amount of P in SOF (0.11%) and MOF (0.1%) was similar and about double the amount of P in BOF (0.06%). A high concentration of K was found in all three LOFs (ranging from 1.2 to 1.34%). The total Na of the three LOFs was in the range of 182 to 236 mg/L. Contents of OM and OC in SOF were 11.62% and 6.75%, respectively, which were higher than those in MOF (9.39% and 5.48%) and in BOF (6.94% and 4.06%). The ANOVA tables showing the level of significant differences in pH and EC, and nutrient composition among the three LOFs are shown in Supplementary Tables S 1 and S 2, respectively 3.2. Change in Microbial Population Parameters in LOFs During Fermentation The total microorganism (TM) in liquid extraction during the fermentation process is shown in Figure 2 A. In the beginning, the total microorganisms in the three LOFs ranged from 7.1 to 7.5 log CFU/mL. On day 15, the population of TM in all LOFs grew to more than 8 log CFU/mL, in which BOF and MOF reached the highest population (8.6 and 8.1 log CFU/mL, respectively). On day 30, the TM in SOF reached the highest population Afterward, these bacterial densities decreased in BOF and SOF or unchanged for MOF on

[[[ p. 8 ]]]

[Summary: This page continues presenting results, focusing on changes in microbial population parameters in LOFs during fermentation. It details the total microorganism (TM) counts and the populations of plant growth-promoting bacteria (PGPB) in the finished LOFs. There was no detection of E. coli and Salmonella. This page also contains duplicate text from page 8.]

Sustainability 2025 , 17 , 3087 8 of 22 day 45. The TM was then stabilized until day 60. At the final stage, the populations of TM in BOF, MOF, and SOF were 8.7, 8.1, and 8.2 log CFU/mL, respectively Sustainability 2025 , 17 , x FOR PEER REVIEW 8 of 23 day 45. The TM was then stabilized until day 60. At the fi nal stage, the populations of TM in BOF, MOF, and SOF were 8.7, 8.1, and 8.2 log CFU/mL, respectively. The fi nal LOFs also contained a considerably dense population of PGPB (Figure 2 B). The populations of NFB in BOF, MOF, and SOF were similar (approximately 7 log CFU/mL). Meanwhile, the density of PSB in SOF (7.1 log CFU/mL) was signi fi cantly higher than those in MOF (6.0 log CFU/mL) and BOF (6.1 log CFU/mL). The population of KSB found in each LOF was approximately 5.8–6.0 log CFU/mL. There was no detection of E. coli and Salmonella in the fi nal products of these organic fertilizers. The ANOVA table showing the level of signi fi cant di ff erences in TM and PGPB among the three LOFs is shown in Supplementary Table S 3. Figure 2. Population of total microorganism ( A ) during 60 days of fermentation and plant growth promoting bacteria ( B ) in the fi nished liquid organic fertilizers. Each bar expressed mean ± SD, and means with di ff erent le tt ers were signi fi cantly di ff erent at p < 0.05 (BOF, brassica-based liquid fertilizer; MOF, mushroom-based liquid fertilizer; SOF, soybean-based liquid fertilizer; NFB, nitrogenfi xing bacteria; PSB, phosphorus solubilizing bacteria; KSB, potassium solubilizing bacteria; ns, nonsigni fi cant). 3.3. Phytohormones and Polyamines Concentration The three LOFs contained a considerable amount of plant hormones, such as IAA and GA (Figure 3). IAA produced in SOF (24 µg/mL) was signi fi cantly higher than that in BOF (9 µg/mL) and MOF (13 µg/mL). Meanwhile, the amount of GA in three LOFs was not signi fi cantly di ff erent (ranging from 136 to 171 µg/mL). The ANOVA table showing the level of signi fi cant di ff erences in IAA and GA content among the three LOFs is shown in Supplementary Table S 4. Figure 3. Concentration of indole acetic acid ( A ) and gibberellic acid ( B ) in the three liquid organic fertilizers. Each bar expressed mean ± SD, and means with di ff erent le tt ers were signi fi cantly di ff erent at p < 0.05 (BOF, brassica-based liquid fertilizer; MOF, mushroom-based liquid fertilizer; SOF, soybean-based liquid fertilizer; ns, non-signi fi cant). Figure 2. Population of total microorganism ( A ) during 60 days of fermentation and plant growth promoting bacteria ( B ) in the finished liquid organic fertilizers. Each bar expressed mean ± SD, and means with different letters were significantly different at p < 0.05 (BOF, brassica-based liquid fertilizer; MOF, mushroom-based liquid fertilizer; SOF, soybean-based liquid fertilizer; NFB, nitrogen-fixing bacteria; PSB, phosphorus solubilizing bacteria; KSB, potassium solubilizing bacteria; ns, non-significant) The final LOFs also contained a considerably dense population of PGPB (Figure 2 B). The populations of NFB in BOF, MOF, and SOF were similar (approximately 7 log CFU/mL) Meanwhile, the density of PSB in SOF (7.1 log CFU/mL) was significantly higher than those in MOF (6.0 log CFU/mL) and BOF (6.1 log CFU/mL). The population of KSB found in each LOF was approximately 5.8–6.0 log CFU/mL. There was no detection of E. coli and Salmonella in the final products of these organic fertilizers. The ANOVA table showing the level of significant differences in TM and PGPB among the three LOFs is shown in Supplementary Table S 3 3.3. Phytohormones and Polyamines Concentration The three LOFs contained a considerable amount of plant hormones, such as IAA and GA (Figure 3 ). IAA produced in SOF (24 µ g/mL) was significantly higher than that in BOF (9 µ g/mL) and MOF (13 µ g/mL). Meanwhile, the amount of GA in three LOFs was not significantly different (ranging from 136 to 171 µ g/mL). The ANOVA table showing the level of significant differences in IAA and GA content among the three LOFs is shown in Supplementary Table S 4 Sustainability 2025 , 17 , x FOR PEER REVIEW 8 of 23 day 45. The TM was then stabilized until day 60. At the fi nal stage, the populations of TM in BOF, MOF, and SOF were 8.7, 8.1, and 8.2 log CFU/mL, respectively. The fi nal LOFs also contained a considerably dense population of PGPB (Figure 2 B). The populations of NFB in BOF, MOF, and SOF were similar (approximately 7 log CFU/mL). Meanwhile, the density of PSB in SOF (7.1 log CFU/mL) was signi fi cantly higher than those in MOF (6.0 log CFU/mL) and BOF (6.1 log CFU/mL). The population of KSB found in each LOF was approximately 5.8–6.0 log CFU/mL. There was no detection of E. coli and Salmonella in the fi nal products of these organic fertilizers. The ANOVA table showing the level of signi fi cant di ff erences in TM and PGPB among the three LOFs is shown in Supplementary Table S 3. Figure 2. Population of total microorganism ( A ) during 60 days of fermentation and plant growth promoting bacteria ( B ) in the fi nished liquid organic fertilizers. Each bar expressed mean ± SD, and means with di ff erent le tt ers were signi fi cantly di ff erent at p < 0.05 (BOF, brassica-based liquid fertilizer; MOF, mushroom-based liquid fertilizer; SOF, soybean-based liquid fertilizer; NFB, nitrogenfi xing bacteria; PSB, phosphorus solubilizing bacteria; KSB, potassium solubilizing bacteria; ns, nonsigni fi cant). 3.3. Phytohormones and Polyamines Concentration The three LOFs contained a considerable amount of plant hormones, such as IAA and GA (Figure 3). IAA produced in SOF (24 µg/mL) was signi fi cantly higher than that in BOF (9 µg/mL) and MOF (13 µg/mL). Meanwhile, the amount of GA in three LOFs was not signi fi cantly di ff erent (ranging from 136 to 171 µg/mL). The ANOVA table showing the level of signi fi cant di ff erences in IAA and GA content among the three LOFs is shown in Supplementary Table S 4. Figure 3. Concentration of indole acetic acid ( A ) and gibberellic acid ( B ) in the three liquid organic fertilizers. Each bar expressed mean ± SD, and means with di ff erent le tt ers were signi fi cantly di ff erent at p < 0.05 (BOF, brassica-based liquid fertilizer; MOF, mushroom-based liquid fertilizer; SOF, soybean-based liquid fertilizer; ns, non-signi fi cant). Figure 3. Concentration of indole acetic acid ( A ) and gibberellic acid ( B ) in the three liquid organic fertilizers. Each bar expressed mean ± SD, and means with different letters were significantly different at p < 0.05 (BOF, brassica-based liquid fertilizer; MOF, mushroom-based liquid fertilizer; SOF, soybean-based liquid fertilizer; ns, non-significant).

[[[ p. 9 ]]]

[Summary: This page presents results regarding phytohormones and polyamines concentration. It shows that the three LOFs contained a considerable amount of plant hormones, such as IAA and GA. IAA produced in SOF was significantly higher than that in BOF and MOF. The concentration of each of the three kinds of PA in the fresh materials varied.]

Sustainability 2025 , 17 , 3087 9 of 22 The concentration of each of the three kinds of PA in the fresh materials varied, as shown in Figure 4 A. Spd was the main PA found in the raw materials, especially in mushrooms. Among the three groups of raw materials, mushroom was the richest source of Spd (1.68 µ mol/g) and Put (0.26 µ mol/g). In contrast, the PA contents were not much different in brassica and soybean. The amount of Spm in these raw ingredients was similar (ranging from 0.11 to 0.15 µ mol/g). During the fermentation process, the amount of Put and Spd increased gradually and reached the highest concentration on day 60 (Figure 4 B,C). However, the content of Spm did not increase with fermentation time (Figure 4 D). At the end of fermentation, Put and Spd were the main PAs found in LOFs. MOF was the fertilizer that contained the highest amount of Put and Spd (7.1 and 1.1 µ mol/mL, respectively), followed by SOF (5.6 and 0.68 µ mol/mL) and BOF (1.70 and 0.26 µ mol/mL). The amount of Spm in the three LOFs was around 0.11 µ mol/mL. The ANOVA table showing the level of significant differences in Put, Spd and Spm in the starting materials, and in the three LOFs during fermentation is shown in Supplementary Table S 5 Sustainability 2025 , 17 , x FOR PEER REVIEW 9 of 23 The concentration of each of the three kinds of PA in the fresh materials varied, as shown in Figure 4 A. Spd was the main PA found in the raw materials, especially in mushrooms. Among the three groups of raw materials, mushroom was the richest source of Spd (1.68 µmol/g) and Put (0.26 µmol/g). In contrast, the PA contents were not much different in brassica and soybean. The amount of Spm in these raw ingredients was similar (ranging from 0.11 to 0.15 µmol/g). During the fermentation process, the amount of Put and Spd increased gradually and reached the highest concentration on day 60 (Figure 4 B,C). However, the content of Spm did not increase with fermentation time (Figure 4 D). At the end of fermentation, Put and Spd were the main PAs found in LOFs. MOF was the fertilizer that contained the highest amount of Put and Spd (7.1 and 1.1 µmol/mL, respectively), followed by SOF (5.6 and 0.68 µmol/mL) and BOF (1.70 and 0.26 µmol/mL). The amount of Spm in the three LOFs was around 0.11 µmol/mL. The ANOVA table showing the level of signi fi cant di ff erences in Put, Spd and Spm in the starting materials, and in the three LOFs during fermentation is shown in Supplementary Table S 5. Figure 4. Polyamine contents in fresh starting plant materials ( A ) and concentration of Put ( B ), Spd ( C ), and Spm ( D ) in the three liquid fertilizers during fermentation (B, brassica vegetables; M, mushrooms; S, soaked soybean seeds; BOF, brassica-based liquid fertilizer; MOF, mushroom-based liquid fertilizer; SOF, soybean-based liquid fertilizer; Put, putrescine; Spd, spermidine; Spm, spermine). 3.4. E ff ects of LOFs on Germination Index (GI), Vigor Index (VI), and Seedling Growth The GI of all seedlings treated with diluted solutions of LOFs was presented in Figure 5. The GI of tomato was lower than 80% at a high concentration of LOFs (1:10 dilution). Low GI was also found in other concentrations of BOF. Meanwhile, the GI of tomato seeds treated by MOF and SOF (1:50 and 1:100) were higher than 80%. The GI of pakchoi was extremely low, less than 40%, at all dilution ratios of all LOFs. Oppositely, the GI of rice in all dilutions of all LOFs was higher than 80%, except for SOF at 1:10. The ANOVA table showing level of signi fi cance di ff erences for GI of tomato, pakchoi and rice seeds treated with the three LOFs is shown in Supplementary Table S 6. The VI and e ff ect of LOFs on seedling growth are shown in Figure 6. Similar to GI, the most concentrated liquid fertilizer (ratio 1:10) reduced VI and growth of seedlings Figure 4. Polyamine contents in fresh starting plant materials ( A ) and concentration of Put ( B ), Spd ( C ), and Spm ( D ) in the three liquid fertilizers during fermentation (B, brassica vegetables; M, mushrooms; S, soaked soybean seeds; BOF, brassica-based liquid fertilizer; MOF, mushroom-based liquid fertilizer; SOF, soybean-based liquid fertilizer; Put, putrescine; Spd, spermidine; Spm, spermine) 3.4. Effects of LOFs on Germination Index (GI), Vigor Index (VI), and Seedling Growth The GI of all seedlings treated with diluted solutions of LOFs was presented in Figure 5 . The GI of tomato was lower than 80% at a high concentration of LOFs (1:10 dilution). Low GI was also found in other concentrations of BOF. Meanwhile, the GI of tomato seeds treated by MOF and SOF (1:50 and 1:100) were higher than 80%. The GI of pakchoi was extremely low, less than 40%, at all dilution ratios of all LOFs. Oppositely, the GI of rice in all dilutions of all LOFs was higher than 80%, except for SOF at 1:10. The ANOVA table showing level of significance differences for GI of tomato, pakchoi and rice seeds treated with the three LOFs is shown in Supplementary Table S 6 The VI and effect of LOFs on seedling growth are shown in Figure 6 . Similar to GI, the most concentrated liquid fertilizer (ratio 1:10) reduced VI and growth of seedlings compared

[[[ p. 10 ]]]

[Summary: This page presents results regarding the effects of LOFs on germination index (GI), vigor index (VI), and seedling growth. The GI of tomato was lower than 80% at a high concentration of LOFs. The VI and effect of LOFs on seedling growth are shown in Figure 6. Similar to GI, the most concentrated liquid fertilizer (ratio 1:10) reduced VI and growth of seedlings.]

Sustainability 2025 , 17 , 3087 10 of 22 to the control. At such a dilution rate, LOFs inhibited both germination percentage and growth of seedlings (Figure 6 B–D). At more diluted concentrations (ratio 1:50 and 1:100), LOFs did not affect germination percentage; however, their impact on seedling growth varied greatly depending on plant species. At these concentrations, tomato seedlings in LOF treatment had a higher VI than control. Here, LOFs clearly showed great promotion on the shoot growth of tomato seedlings but did not have much effect on root length (Figure 6 B). At the same dilutions, the VI of pakchoi was similar (in BOF and SOF) or slightly lower (in MOF) compared to control. LOFs enhanced shoot growth well yet inhibited root development (Figure 6 C). Meanwhile, the VI of rice seedlings in BOF (1:100), MOF (1:50), and SOF (1:50) were higher than the control, while the 1:100 dilution of MOF and SOF gave similar results as the control. Based on this result, the LOFs at the dilution of 1:75 were used to investigate the effects of LOF application on the growth and physiology of rice at the vegetative growth stage. The ANOVA table showing level of significance differences for VI of tomato, pakchoi and rice treated with the three LOFs is shown in Supplementary Table S 7 Sustainability 2025 , 17 , x FOR PEER REVIEW 10 of 23 compared to the control. At such a dilution rate, LOFs inhibited both germination percentage and growth of seedlings (Figure 6 B–D). At more diluted concentrations (ratio 1:50 and 1:100), LOFs did not a ff ect germination percentage; however, their impact on seedling growth varied greatly depending on plant species. At these concentrations, tomato seedlings in LOF treatment had a higher VI than control. Here, LOFs clearly showed great promotion on the shoot growth of tomato seedlings but did not have much e ff ect on root length (Figure 6 B). At the same dilutions, the VI of pakchoi was similar (in BOF and SOF) or slightly lower (in MOF) compared to control. LOFs enhanced shoot growth well yet inhibited root development (Figure 6 C). Meanwhile, the VI of rice seedlings in BOF (1:100), MOF (1:50), and SOF (1:50) were higher than the control, while the 1:100 dilution of MOF and SOF gave similar results as the control. Based on this result, the LOFs at the dilution of 1:75 were used to investigate the e ff ects of LOF application on the growth and physiology of rice at the vegetative growth stage. The ANOVA table showing level of signi fi cance di ff erences for VI of tomato, pakchoi and rice treated with the three LOFs is shown in Supplementary Table S 7. Figure 5. E ff ects of liquid organic fertilizers on germination index of tomato (white bar), pakchoi (gray bar), and rice seedling (black bar). Each bar expressed mean ± SD and means with di ff erent le tt ers were signi fi cantly di ff erent at p < 0.05 (BOF, brassica-based liquid fertilizer; MOF, mushroombased liquid fertilizer; SOF, soybean-based liquid fertilizer). Figure 5. Effects of liquid organic fertilizers on germination index of tomato (white bar), pakchoi (gray bar), and rice seedling (black bar). Each bar expressed mean ± SD and means with different letters were significantly different at p < 0.05 (BOF, brassica-based liquid fertilizer; MOF, mushroom-based liquid fertilizer; SOF, soybean-based liquid fertilizer) 3.5. Effects of LOF on Growth and Physiology of Rice Under Salt Stress The application of all three types of LOF and CF significantly and similarly boosted root growth for both non-stressed (106 to 124% increase in DRW) and salt-stressed plants (23 to 53% increase in DRW) (Figure 7 A). For shoot growth, the LOFs and CF also significantly enhanced shoot growth under both conditions but with different efficiency (Figure 7 B). Among LOFs, DSW of non-stressed plants was enhanced by 176, 145, and 63% for MOF, SOF, and BOF, respectively, while CF was the most effective treatment, resulting in 325% shoot growth increment. The ability of LOFs and CF in growth promotion was much reduced for salt-stressed plants, with 160, 48, 48, and 29% increases in DSW for CF, MOF, SOF, and BOF, respectively. Under 100 mM NaCl stress, all three LOFs significantly enhanced root growth compared with CK, but only MOF and SOF enhanced shoot growth. The ANOVA table showing the level of significant differences for DRW and DSW of rice treated with the three LOFs and CF is shown in Supplementary Table S 8.

[[[ p. 11 ]]]

[Summary: This page presents results regarding the effects of LOF on growth and physiology of rice under salt stress. The application of all three types of LOF and CF significantly and similarly boosted root growth for both non-stressed and salt-stressed plants. This page also contains duplicate text from page 10.]

Sustainability 2025 , 17 , 3087 11 of 22 Sustainability 2025 , 17 , x FOR PEER REVIEW 10 of 23 compared to the control. At such a dilution rate, LOFs inhibited both germination percentage and growth of seedlings (Figure 6 B–D). At more diluted concentrations (ratio 1:50 and 1:100), LOFs did not a ff ect germination percentage; however, their impact on seedling growth varied greatly depending on plant species. At these concentrations, tomato seedlings in LOF treatment had a higher VI than control. Here, LOFs clearly showed great promotion on the shoot growth of tomato seedlings but did not have much e ff ect on root length (Figure 6 B). At the same dilutions, the VI of pakchoi was similar (in BOF and SOF) or slightly lower (in MOF) compared to control. LOFs enhanced shoot growth well yet inhibited root development (Figure 6 C). Meanwhile, the VI of rice seedlings in BOF (1:100), MOF (1:50), and SOF (1:50) were higher than the control, while the 1:100 dilution of MOF and SOF gave similar results as the control. Based on this result, the LOFs at the dilution of 1:75 were used to investigate the e ff ects of LOF application on the growth and physiology of rice at the vegetative growth stage. The ANOVA table showing level of signi fi cance di ff erences for VI of tomato, pakchoi and rice treated with the three LOFs is shown in Supplementary Table S 7. Figure 5. E ff ects of liquid organic fertilizers on germination index of tomato (white bar), pakchoi (gray bar), and rice seedling (black bar). Each bar expressed mean ± SD and means with di ff erent le tt ers were signi fi cantly di ff erent at p < 0.05 (BOF, brassica-based liquid fertilizer; MOF, mushroombased liquid fertilizer; SOF, soybean-based liquid fertilizer). Figure 6. Vigor index ( A ) and seedlings of tomato ( B ), pakchoi ( C ) and rice ( D ) at 7 days after seed germination in the presence of different dilutions of liquid organic fertilizers: (1) distilled water; (2, 3, 4) 1:10, 1:50 and 1:100 dilution of BOF; (5, 6, 7) 1:10, 1:50 and 1:100 dilution of MOF; (8, 9, 10) 1:10, 1:50 and 1:100 dilution of SOF. Each bar in ( A ) expressed mean ± SD, and means with different letters were significantly different at p < 0.05 Sustainability 2025 , 17 , x FOR PEER REVIEW 11 of 23 Figure 6. Vigor index ( A ) and seedlings of tomato ( B ), pakchoi ( C ) and rice ( D ) at 7 days after seed germination in the presence of di ff erent dilutions of liquid organic fertilizers: (1) distilled water; (2, 3, 4) 1:10, 1:50 and 1:100 dilution of BOF; (5, 6, 7) 1:10, 1:50 and 1:100 dilution of MOF; (8, 9, 10) 1:10, 1:50 and 1:100 dilution of SOF. Each bar in ( A ) expressed mean ± SD, and means with di ff erent le tt ers were signi fi cantly di ff erent at p < 0.05 3.5. E ff ects of LOF on Growth and Physiology of Rice Under Salt Stress The application of all three types of LOF and CF signi fi cantly and similarly boosted root growth for both non-stressed (106 to 124% increase in DRW) and salt-stressed plants (23 to 53% increase in DRW) (Figure 7 A). For shoot growth, the LOFs and CF also signi fi - cantly enhanced shoot growth under both conditions but with di ff erent e ffi ciency (Figure 7 B). Among LOFs, DSW of non-stressed plants was enhanced by 176, 145, and 63% for MOF, SOF, and BOF, respectively, while CF was the most e ff ective treatment, resulting in 325% shoot growth increment. The ability of LOFs and CF in growth promotion was much reduced for salt-stressed plants, with 160, 48, 48, and 29% increases in DSW for CF, MOF, SOF, and BOF, respectively. Under 100 mM NaCl stress, all three LOFs signi fi cantly enhanced root growth compared with CK, but only MOF and SOF enhanced shoot growth. The ANOVA table showing the level of signi fi cant di ff erences for DRW and DSW of rice treated with the three LOFs and CF is shown in Supplementary Table S 8. Figure 7. Dried root weight (DRW) ( A ) and dried shoot weight (DSW) ( B ) of rice plants treated with water (0 mM) and salt stress (100 mM NaCl) after 14 days. For each group, the bar expressed mean ± SD, and means with di ff erent le tt ers were signi fi cantly di ff erent at p < 0.05. The signi fi cant di ff erence ( p < 0.01) between means of the non-stressed (0 mM) and salt-stressed (100 mM NaCl) receiving the same fertilizer was indicated by ** (CK, no fertilizer; BOF, brassica-based liquid fertilizer; MOF, mushroom-based liquid fertilizer; SOF, soybean-based liquid fertilizer; CF, chemical fertilizer). Chlorophyll contents were evaluated 7 and 14 days after adding 100 mM NaCl to pots. After 7 days of salt stress, the total chlorophyll of the CK plants was reduced by 34% from 1.01 to 0.66 mg/g (Figure 8 A). Exogenous applications of LOFs and CF dramatically boosted the total chlorophyll content of the stressed plants by 110, 119, 151, and 169% for MOF, BOF, SOF, and CF, respectively. The supply of MOF, SOF, and CF also signi fi cantly enhanced chlorophyll in the non-stressed plants. Chlorophyll content generally increased with plant age, and the plants tended to adapt to salt stress; there was no signi fi cant difference in total chlorophyll between the control and salt-treated CK plants after 14 days of salt stress (Figure 8 B). Total chlorophyll contents in the non-stressed plants signi fi cantly increased by 25, 29, 30, and 45% when supplied with CF, BOF, SOF, and MOF, respectively. The increments in chlorophyll content of the stressed plants were 14, 23, 40, and 48% by the supplement of BOF, MOF, CF, and SOF, respectively. Therefore, similar to the e ff ects on growth, MOF and SOF were more bene fi cial for chlorophyll production of rice Figure 7. Dried root weight (DRW) ( A ) and dried shoot weight (DSW) ( B ) of rice plants treated with water (0 mM) and salt stress (100 mM NaCl) after 14 days. For each group, the bar expressed mean ± SD, and means with different letters were significantly different at p < 0.05. The significant difference ( p < 0.01) between means of the non-stressed (0 mM) and salt-stressed (100 mM NaCl) receiving the same fertilizer was indicated by ** (CK, no fertilizer; BOF, brassica-based liquid fertilizer; MOF, mushroom-based liquid fertilizer; SOF, soybean-based liquid fertilizer; CF, chemical fertilizer) Chlorophyll contents were evaluated 7 and 14 days after adding 100 mM NaCl to pots. After 7 days of salt stress, the total chlorophyll of the CK plants was reduced by 34% from 1.01 to 0.66 mg/g (Figure 8 A). Exogenous applications of LOFs and CF dramatically boosted the total chlorophyll content of the stressed plants by 110, 119, 151, and 169% for MOF, BOF, SOF, and CF, respectively. The supply of MOF, SOF, and CF also significantly enhanced chlorophyll in the non-stressed plants. Chlorophyll content generally increased with plant age, and the plants tended to adapt to salt stress; there was no significant difference in total chlorophyll between the control and salt-treated CK plants after 14 days of salt stress (Figure 8 B). Total chlorophyll contents in the non-stressed plants significantly increased by 25, 29, 30, and 45% when supplied with CF, BOF, SOF, and MOF, respectively The increments in chlorophyll content of the stressed plants were 14, 23, 40, and 48% by

[[[ p. 12 ]]]

[Summary: This page continues to present results on the effects of LOF on growth and physiology of rice under salt stress. Chlorophyll contents were evaluated 7 and 14 days after adding 100 mM NaCl to pots. Exogenous applications of LOFs and CF dramatically boosted the total chlorophyll content of the stressed plants. The ANOVA table is in Supplementary Table S 9.]

Sustainability 2025 , 17 , 3087 12 of 22 the supplement of BOF, MOF, CF, and SOF, respectively. Therefore, similar to the effects on growth, MOF and SOF were more beneficial for chlorophyll production of rice under salt stress than BOF. The ANOVA table showing the level of significant differences for chlorophyll contents of rice plants treated with the three LOFs and CF after 7 and 14 days is shown in Supplementary Table S 9 Sustainability 2025 , 17 , x FOR PEER REVIEW 12 of 23 under salt stress than BOF. The ANOVA table showing the level of signi fi cant di ff erences for chlorophyll contents of rice plants treated with the three LOFs and CF after 7 and 14 days is shown in Supplementary Table S 9. Figure 8. Chlorophyll content in the leaf of rice plants after 7 days ( A ) and 14 days ( B ) treatment with water (0 mM) and salt stress (100 mM NaCl). For each group, the bar expressed mean ± SD and means with di ff erent le tt ers were signi fi cantly di ff erent at p < 0.05. The signi fi cant di ff erence ( p < 0.05 or p < 0.01) among the means of the non-stressed (0 mM) and salt-stressed (100 mM NaCl) receiving the same fertilizer was indicated by * or ** (CK, no fertilizer; BOF, brassica-based liquid fertilizer; MOF, mushroom-based liquid fertilizer; SOF, soybean-based liquid fertilizer; CF, chemical fertilizer; ns, non-signi fi cant). Salt stress for 7 days imposed an inhibitory e ff ect on leaf photosynthesis, resulting in a 23% reduction in Pn of the stressed CK plants compared with the non-stressed ones (Figure 9 A), and after 14 days, the reduction in Pn was further reduced to 33% (Figure 9 B) due to a huge reduction in stomatal conductance (Figure 9 C,D). Salt-induced inhibition of photosynthesis of rice subjected to salt stress for 7 days was signi fi cantly alleviated by fertilizer supplements yielding 20, 30, 31, and 50% increments in Pn for SOF, MOF, BOF, and CF, respectively (Figure 9 A). With an extended period of stress, SOF and CF were similarly e ff ective in mitigating salt stress e ff ects on photosynthesis, showing the enhancement e ff ects of 64 and 81% for SOF and CF, respectively, in comparison to CK (Figure 9 B). BOF and MOF were less e ff ective, showing 27 and 24% enhancement of Pn, respectively. The alleviating e ff ects of LOFs and CF on raising the values of stomatal conductance (gs) and transpiration rates (Tr) were also evident, as shown in Figure 9 C,D and Figure 9 E,F, respectively. Treatment of NaCl for 14 days forced the plants to save water, causing a dramatic reduction in Tr (Figure 9 F), leading to the doubling of water use e ffi ciency (WUE) (Figure 9 H). Supplement of LOFs and CF caused signi fi cant reductions in WUE (Figure 9 H). Therefore, it was clearly evident that exogenous application of LOFs and CF enhanced photosynthesis in rice under salt stress. Like the bene fi cial e ff ects on chlorophyll content, SOF and CF were be tt er options for the promotion of photosynthesis than BOF and MOF. Moreover, SOF was as e ff ective as CF in mitigating salt stress e ff ects on photosynthesis, as is evident in Figure 9 B. The ANOVA table showing the level of signi fi cant di ff erences for photosynthetic performance of rice plants treated with the three LOFs and CF after 7 and 14 days is shown in Supplementary Table S 10. Under non-stress conditions, proline content in rice leaves increased 10 times with age from 0.85 µmol/g (Figure 10 A) at 7 DAT to 8.88 µmol/g at 14 DAT (Figure 10 B) For control plants without fertilizer supplements, salinity stress greatly enhanced proline accumulation in rice leaves, resulting in a 4.48-fold increase at 7 DAT (from 0.85 to 3.81 µmol/g) and 1.71-fold increase (from 8.88 to 15.16 µmol/g) at 14 DAT. Liquid fertilizer application had no e ff ect on the proline content of the control plants at 7 DAT (Figure 10 A) but slightly enhanced proline accumulation at 14 DAT (Figure 10 B). For both timepoints, Figure 8. Chlorophyll content in the leaf of rice plants after 7 days ( A ) and 14 days ( B ) treatment with water (0 mM) and salt stress (100 mM NaCl). For each group, the bar expressed mean ± SD and means with different letters were significantly different at p < 0.05. The significant difference ( p < 0.05 or p < 0.01) among the means of the non-stressed (0 mM) and salt-stressed (100 mM NaCl) receiving the same fertilizer was indicated by * or ** (CK, no fertilizer; BOF, brassica-based liquid fertilizer; MOF, mushroom-based liquid fertilizer; SOF, soybean-based liquid fertilizer; CF, chemical fertilizer; ns, non-significant) Salt stress for 7 days imposed an inhibitory effect on leaf photosynthesis, resulting in a 23% reduction in Pn of the stressed CK plants compared with the non-stressed ones (Figure 9 A), and after 14 days, the reduction in Pn was further reduced to 33% (Figure 9 B) due to a huge reduction in stomatal conductance (Figure 9 C,D). Salt-induced inhibition of photosynthesis of rice subjected to salt stress for 7 days was significantly alleviated by fertilizer supplements yielding 20, 30, 31, and 50% increments in Pn for SOF, MOF, BOF, and CF, respectively (Figure 9 A). With an extended period of stress, SOF and CF were similarly effective in mitigating salt stress effects on photosynthesis, showing the enhancement effects of 64 and 81% for SOF and CF, respectively, in comparison to CK (Figure 9 B). BOF and MOF were less effective, showing 27 and 24% enhancement of Pn, respectively. The alleviating effects of LOFs and CF on raising the values of stomatal conductance (gs) and transpiration rates (Tr) were also evident, as shown in Figure 9 C,D and Figure 9 E,F, respectively. Treatment of NaCl for 14 days forced the plants to save water, causing a dramatic reduction in Tr (Figure 9 F), leading to the doubling of water use efficiency (WUE) (Figure 9 H). Supplement of LOFs and CF caused significant reductions in WUE (Figure 9 H). Therefore, it was clearly evident that exogenous application of LOFs and CF enhanced photosynthesis in rice under salt stress. Like the beneficial effects on chlorophyll content, SOF and CF were better options for the promotion of photosynthesis than BOF and MOF. Moreover, SOF was as effective as CF in mitigating salt stress effects on photosynthesis, as is evident in Figure 9 B. The ANOVA table showing the level of significant differences for photosynthetic performance of rice plants treated with the three LOFs and CF after 7 and 14 days is shown in Supplementary Table S 10.

[[[ p. 13 ]]]

[Summary: This page presents results about the effect of liquid organic fertilizers on net photosynthesis rate: stomatal conductance, transpiration rate, and water use efficiency (WUE) of rice plants after 7 days and 14 days treatment with water and salt stress. Under non-stress conditions, proline content in rice leaves increased 10 times with age.]

Sustainability 2025 , 17 , 3087 13 of 22 Sustainability 2025 , 17 , x FOR PEER REVIEW 13 of 23 all fertilizer applications signi fi cantly reduced the leaf proline of salt-stressed plants (except for MOF at 14 DAT). At 7 DAT, the proline contents under salt stress were reduced by 57% for SOF to 74% for CF, and at 14 DAT, the level of reduction ranged from 14% for MOF to 34% for CF. The e ff ects of all three types of LOFs and CF on reducing proline content were statistically similar, although CF tended to be slightly more e ff ective than the LOFs. The ANOVA table showing the level of signi fi cant di ff erences for proline content of rice plants treated with the three LOFs and CF after 7 and 14 days is shown in Supplementary Table S 11. Figure 9. E ff ect of liquid organic fertilizers on net photosynthesis rate: ( A , B ) stomatal conductance ( C , D ), transpiration rate, and ( E , F ) water use e ffi ciency (WUE) ( G , H ) of rice plants after 7 days ( A , C , E , G ) and 14 days ( B , D , F , H ) treatment with water (0 mM) and salt stress (100 mM NaCl). For each group, the bar expressed mean ± SD, and means with di ff erent le tt ers were signi fi cantly di ff erent at p < 0.05. The signi fi cant di ff erence ( p < 0.01) between means of the non-stressed (0 mM) and salt-stressed (100 mM NaCl) receiving the same fertilizer was indicated by ** (CK, no fertilizer; BOF, brassica-based liquid fertilizer; MOF, mushroom-based liquid fertilizer; SOF, soybean-based liquid fertilizer; CF, chemical fertilizer; ns/NS, non-signi fi cant). Figure 9. Effect of liquid organic fertilizers on net photosynthesis rate: ( A , B ) stomatal conductance ( C , D ), transpiration rate, and ( E , F ) water use efficiency (WUE) ( G , H ) of rice plants after 7 days ( A , C , E , G ) and 14 days ( B , D , F , H ) treatment with water (0 mM) and salt stress (100 mM NaCl). For each group, the bar expressed mean ± SD, and means with different letters were significantly different at p < 0.05. The significant difference ( p < 0.01) between means of the non-stressed (0 mM) and saltstressed (100 mM NaCl) receiving the same fertilizer was indicated by ** (CK, no fertilizer; BOF, brassica-based liquid fertilizer; MOF, mushroom-based liquid fertilizer; SOF, soybean-based liquid fertilizer; CF, chemical fertilizer; ns/NS, non-significant) Under non-stress conditions, proline content in rice leaves increased 10 times with age from 0.85 µ mol/g (Figure 10 A) at 7 DAT to 8.88 µ mol/g at 14 DAT (Figure 10 B). For control plants without fertilizer supplements, salinity stress greatly enhanced proline accumulation in rice leaves, resulting in a 4.48-fold increase at 7 DAT (from 0.85 to 3.81 µ mol/g) and 1.71-fold increase (from 8.88 to 15.16 µ mol/g) at 14 DAT. Liquid fertilizer application had no effect on the proline content of the control plants at 7 DAT (Figure 10 A) but slightly enhanced proline accumulation at 14 DAT (Figure 10 B). For both timepoints, all fertilizer applications significantly reduced the leaf proline of salt-stressed plants (except for MOF at 14 DAT). At 7 DAT, the proline contents under salt stress were reduced by 57% for SOF to 74% for CF, and at 14 DAT, the level of reduction ranged from 14% for MOF to 34% for CF The effects of all three types of LOFs and CF on reducing proline content were statistically similar, although CF tended to be slightly more effective than the LOFs. The ANOVA table

[[[ p. 14 ]]]

[Summary: This page continues presenting results on proline content of rice plants treated with the three LOFs and CF after 7 and 14 days. For control plants without fertilizer supplements, salinity stress greatly enhanced proline accumulation in rice leaves, resulting in a 4.48-fold increase at 7 DAT and 1.71-fold increase at 14 DAT.]

Sustainability 2025 , 17 , 3087 14 of 22 showing the level of significant differences for proline content of rice plants treated with the three LOFs and CF after 7 and 14 days is shown in Supplementary Table S 11 Sustainability 2025 , 17 , x FOR PEER REVIEW 14 of 23 Figure 10. Proline content in the leaf of rice plants after 7 days ( A ) and 14 days ( B ) treatment with water (0 mM) and salt stress (100 mM NaCl). For each group, the bar expressed mean ± SD, and means with di ff erent le tt ers were signi fi cantly di ff erent at p < 0.05. The signi fi cant di ff erence ( p < 0.01) between means of the non-stressed (0 mM) and salt-stressed (100 mM NaCl) receiving the same fertilizer was indicated by ** (CK, no fertilizer; BOF, brassica-based liquid fertilizer; MOF, mushroom-based liquid fertilizer; SOF, soybean-based liquid fertilizer; CF, chemical fertilizer; ns, non-signi fi cant). 3.6. E ff ects of LOFs on Endogenous Polyamine (PA) Content in Rice Leaf The effects of LOFs on endogenous polyamine content in rice leaves of plants subjected to salt stress for 7 and 14 days are displayed in Figure 11. In the control non-stressed plants, rice leaves contained higher Put and Spd than Spm. Notably, in response to salt stress for 7 and 14 days, Put (Figure 11 A,B) and Spd (Figure 11 C,D) content significantly reduced while Spm (Figure 11 E,F) increased significantly, resulting in higher content of Spm than Spd and Put in salt-stressed leaves. For the control non-stressed plants on 7 DAT, significant effects of LOFs were observed only in the increment of Spd (Figure 11 C) and Spm (only for BOF and MOF; Figure 11 E). For salt-stressed plants at 7 DAT, BOF, MOF, and SOF caused significant increases in Put (Figure 11 A), while all three kinds of LOFs, as well as CF, enhanced Spd synthesis (Figure 11 C). In contrast, none of the fertilizer applications had significant effects on the Spm content of salt-stressed plants (Figure 11 E). When the period of salt stress was extended to 14 days, all fertilizer applications resulted in significantly greater amounts of Put (Figure 11 B) and Spd (Figure 11 D) than those in the controls. However, for Spm, only BOF resulted in significantly higher content compared with the control (Figure 11 F). The highest Spd content was found with MOF application (Figure 11 D), while the highest Put was recorded with MOF and SOF supplements (Figure 11 B). It is noted that, for all fertilizer treatments, the amounts of Put (Figure 11 A,B) and Spd (Figure 11 C,D) in the salt-stressed plants were similar or lower than those in the non-stressed plants treated with the same fertilizers. In contrast, Spm contents in salt-stressed rice plants at 7 DAT treated with all LOFs (except for MOF) and CF were significantly higher compared to the control plants receiving the same fertilizers (Figure 11 E). However, at 14 DAT, only saltstressed plants supplemented with BOF and MOF produced significantly higher Spm than the control plants treated with the respective fertilizers (Figure 11 F). The ANOVA table showing the level of signi fi cant di ff erences for Put, Spd and Spm in rice plants treated with the three LOFs and CF after 7 and 14 days is shown in Supplementary Table S 12 Figure 10. Proline content in the leaf of rice plants after 7 days ( A ) and 14 days ( B ) treatment with water (0 mM) and salt stress (100 mM NaCl). For each group, the bar expressed mean ± SD, and means with different letters were significantly different at p < 0.05. The significant difference ( p < 0.01) between means of the non-stressed (0 mM) and salt-stressed (100 mM NaCl) receiving the same fertilizer was indicated by ** (CK, no fertilizer; BOF, brassica-based liquid fertilizer; MOF, mushroom-based liquid fertilizer; SOF, soybean-based liquid fertilizer; CF, chemical fertilizer; ns, non-significant) 3.6. Effects of LOFs on Endogenous Polyamine (PA) Content in Rice Leaf The effects of LOFs on endogenous polyamine content in rice leaves of plants subjected to salt stress for 7 and 14 days are displayed in Figure 11 . In the control non-stressed plants, rice leaves contained higher Put and Spd than Spm. Notably, in response to salt stress for 7 and 14 days, Put (Figure 11 A,B) and Spd (Figure 11 C,D) content significantly reduced while Spm (Figure 11 E,F) increased significantly, resulting in higher content of Spm than Spd and Put in salt-stressed leaves. For the control non-stressed plants on 7 DAT, significant effects of LOFs were observed only in the increment of Spd (Figure 11 C) and Spm (only for BOF and MOF; Figure 11 E). For salt-stressed plants at 7 DAT, BOF, MOF, and SOF caused significant increases in Put (Figure 11 A), while all three kinds of LOFs, as well as CF, enhanced Spd synthesis (Figure 11 C). In contrast, none of the fertilizer applications had significant effects on the Spm content of salt-stressed plants (Figure 11 E). When the period of salt stress was extended to 14 days, all fertilizer applications resulted in significantly greater amounts of Put (Figure 11 B) and Spd (Figure 11 D) than those in the controls. However, for Spm, only BOF resulted in significantly higher content compared with the control (Figure 11 F). The highest Spd content was found with MOF application (Figure 11 D), while the highest Put was recorded with MOF and SOF supplements (Figure 11 B). It is noted that, for all fertilizer treatments, the amounts of Put (Figure 11 A,B) and Spd (Figure 11 C,D) in the salt-stressed plants were similar or lower than those in the non-stressed plants treated with the same fertilizers. In contrast, Spm contents in salt-stressed rice plants at 7 DAT treated with all LOFs (except for MOF) and CF were significantly higher compared to the control plants receiving the same fertilizers (Figure 11 E). However, at 14 DAT, only salt-stressed plants supplemented with BOF and MOF produced significantly higher Spm than the control plants treated with the respective fertilizers (Figure 11 F). The ANOVA table showing the level of significant differences for Put, Spd and Spm in rice plants treated with the three LOFs and CF after 7 and 14 days is shown in Supplementary Table S 12.

[[[ p. 15 ]]]

[Summary: This page presents results about the effect of liquid organic fertilizers on the endogenous contents of Put, Spd, and Spm in the leaf of rice after 7 days and 14 days treatment with water and salt stress. The study discusses the physico-chemical characteristics of liquid organic fertilizers (LOFs).]

Sustainability 2025 , 17 , 3087 15 of 22 Sustainability 2025 , 17 , x FOR PEER REVIEW 15 of 23 Figure 11. E ff ect of liquid organic fertilizers on the endogenous contents of Put ( A , B ), Spd ( C , D ), and Spm ( E , F ) in the leaf of rice after 7 days ( A , C , E ) and 14 days ( B , D , F ) treatment with water (0 mM) and salt stress (100 mM NaCl). For each group, the bar expressed mean ± SD, and means with di ff erent le tt ers were signi fi cantly di ff erent at p < 0.05. The signi fi cant di ff erence ( p < 0.01) between means of the non-stressed (0 mM) and salt-stressed (100 mM NaCl) receiving the same fertilizer was indicated by ** (CK, no fertilizer; BOF, brassica-based liquid fertilizer; MOF, mushroom-based liquid fertilizer; SOF, soybean-based liquid fertilizer; CF, chemical fertilizer; Put, putrescine; Spd, spermidine; Spm, spermine; ns/NS, non-signi fi cant). 4. Discussion 4.1. Physico-Chemical Characteristics of Liquid Organic Fertilizers (LOFs) Liquid organic fertilizer (LOF) is known as liquid extraction from the fermentation of plant or animal materials with sugar and e ff ective microorganisms. Under the activity of these microbes, the organic compounds in fresh materials were decomposed; consequently, a variety of substances were released, such as proteins, amino acids, organic acids, macronutrients, micronutrients, plant hormones, vitamins, and enzymes. Molasses are usually used as a main source of energy for microorganism proliferation. Microorganisms use carbon sources in molasses to reproduce and degrade fresh materials. One common feature of molasses is acidic pH and high EC value [29]. Therefore, the addition of molasses in the formula of LOF (pH 5.17 and EC 27.67 dS/m) immediately generated a lower pH (about 4.2–4.8) and higher EC (15–16 dS/m) at the beginning of the fermentation process (Figure 1). This reduction in pH created a suitable environment for the growth of lactic acid bacteria and yeast, which are predominant groups of microorganisms in highly concentrated sugar conditions [30]. Under the activity of the lactic acid bacteria group, the sugar was converted to organic acids (acetic acid, lactic acid, and citric acid), which mainly contributed to the pH decrease at a later stage [11]. These acids could be converted to alcohol, re fl ected by a strong wine odor during the fi rst 30 days of fermentation. At the end of fermentation, these organic acids were either Figure 11. Effect of liquid organic fertilizers on the endogenous contents of Put ( A , B ), Spd ( C , D ), and Spm ( E , F ) in the leaf of rice after 7 days ( A , C , E ) and 14 days ( B , D , F ) treatment with water (0 mM) and salt stress (100 mM NaCl). For each group, the bar expressed mean ± SD, and means with different letters were significantly different at p < 0.05. The significant difference ( p < 0.01) between means of the non-stressed (0 mM) and salt-stressed (100 mM NaCl) receiving the same fertilizer was indicated by ** (CK, no fertilizer; BOF, brassica-based liquid fertilizer; MOF, mushroom-based liquid fertilizer; SOF, soybean-based liquid fertilizer; CF, chemical fertilizer; Put, putrescine; Spd, spermidine; Spm, spermine; ns/NS, non-significant) 4. Discussion 4.1. Physico-Chemical Characteristics of Liquid Organic Fertilizers (LOFs) Liquid organic fertilizer (LOF) is known as liquid extraction from the fermentation of plant or animal materials with sugar and effective microorganisms. Under the activity of these microbes, the organic compounds in fresh materials were decomposed; consequently, a variety of substances were released, such as proteins, amino acids, organic acids, macronutrients, micronutrients, plant hormones, vitamins, and enzymes. Molasses are usually used as a main source of energy for microorganism proliferation. Microorganisms use carbon sources in molasses to reproduce and degrade fresh materials. One common feature of molasses is acidic pH and high EC value [ 29 ]. Therefore, the addition of molasses in the formula of LOF (pH 5.17 and EC 27.67 dS/m) immediately generated a lower pH (about 4.2–4.8) and higher EC (15–16 dS/m) at the beginning of the fermentation process (Figure 1 ). This reduction in pH created a suitable environment for the growth of lactic acid bacteria and yeast, which are predominant groups of microorganisms in highly concentrated sugar conditions [ 30 ]. Under the activity of the lactic acid bacteria group, the sugar was converted to organic acids (acetic acid, lactic acid, and citric acid), which mainly contributed to the pH decrease at a later stage [ 11 ]. These acids could be converted to alcohol, reflected by a strong wine odor during the first 30 days of fermentation. At the end of fermentation, these organic acids were either converted or evaporated [ 31 ]. Therefore, the pH in liquid fertilizer rose back (Figure 1 A). The increased pH also indicates the increased ammonium

[[[ p. 16 ]]]

[Summary: This page discusses the Physico-Chemical Characteristics of Liquid Organic Fertilizers (LOFs) and their impact on toxicity. LOFs showed high toxicity at a low dilution ratio and less toxicity when the dilution ratio increased. High concentration of salts and nutrients creates high osmotic pressure.]

Sustainability 2025 , 17 , 3087 16 of 22 contents in the extraction liquid. The increase in EC during the fermentation was caused by the release of minerals and salts from plant materials into the liquid (Table 1 ). Also, the evaporation of water during fermentation contributed to EC rising [ 7 , 32 ]. The quality of LOF was mainly decided by the quality of constituent substrates Broccoli, cauliflower, mushroom, and soybean were documented to be rich in nutrients and minerals [ 33 ]. The difference of macronutrients in the finished LOF products, especially the N content, was consistent with the amount in the starting plant materials, in which SOF had the most concentrated N (Table 1 ). The superior amount of total P in SOF might relate to the high density of phosphorus-solubilizing bacteria in this fertilizer (Figure 2 B). Meanwhile, a considerable amount of total K in all LOFs was mostly derived from a high concentration of K in molasses (3.6–5.25%) [ 34 ]. The low C/N was found at the final stage of fermentation. A high C/N ratio indicates the presence of unutilized complex carbon content, while a decrease in C/N ratio (<25:1) indicates an efficient decomposition process [ 35 ]. The growth trend of the microbial population in the three kinds of LOF followed the same pattern, showing the highest activity on days 15 or 30, then decreased or was stable later on (Figure 2 ) when most organic materials were utilized (low C/N). The high density of plant growth-promoting bacteria was also found in these LOFs (Figure 2 ). The presence of these beneficial microorganism groups was responsible for nutrient cycling to make the soil become more fertile when LOF was applied to the soil [ 36 ]. This is a benefit from LOF that chemical fertilizers do not possess Many plant growth-promoting rhizobacteria (PGPR) in organic fertilizers have been found as producers of IAA, cytokinins, and gibberellins [ 37 ]. LOFs contain living microorganisms that can produce such beneficial compounds [ 38 ]. However, the presence of PAs in organic fertilizers has been rarely reported. It was discovered in this study that the fermentation process significantly increased the concentration of PAs, particularly that of Put and Spd (Figure 4 ). Although high concentrations of PAs were reported to be commonly present in fermented food resulting mostly from the activity of lactic acid bacteria [ 39 ], PAs were rarely analyzed in organic fertilizers or LOFs. The high variation in PA content in LOFs (Figure 4 ) was mainly attributed to the difference between raw materials. Mushrooms and soybeans were documented as substrates higher in Spd and Put than broccoli [ 33 , 40 ]. The change in PAs in the fermentation process was also contributed by the microorganism community in liquid fertilizer [ 41 , 42 ], which was reported to produce a higher amount of intracellular PAs in an acid environment [ 43 ]. 4.2. Phytoxicity Evaluation of the LOFs Based on Seed Germination Test Phytotoxicity can be defined as a delay in germination or inhibition of plant growth or any other adverse effects caused by specific substances or inadequate growth conditions. GI is the most sensitive parameter for assessing the phytotoxicity of organic fertilizers, which provides a direct and reliable result [ 44 – 46 ]. A sample was assumed to have no toxicity when GI is >80% [ 26 ]. In this experiment, LOFs showed high toxicity at a low dilution ratio and less toxicity when the dilution ratio increased (Figure 5 ). At the dilution of 1:10, most GI values were less than 80%, indicating that LOFs were toxic. The inhibitory effect here was shown by germination rate reduction and/or inhibition of root elongation (Figure 6 ). High concentration of salts and nutrients creates high osmotic pressure, which prevents the water absorption of seeds and, in turn, reduces seed germination and radical development [ 47 ]. Therefore, the safer use of LOFs in this present study would be mainly focused at two higher dilutions (1:50 and 1:100). Most LOFs were free of toxicity at the dilution of 1:50 or above, which were in agreement with previous research [ 7 , 48 ]. However, seeds of different plant species showed different levels of sensitivity to different LOFs. In this study, pakchoi was the most sensitive seed, and rice was the least sensitive. According

[[[ p. 17 ]]]

[Summary: This page discusses the impact of GA, IAA and PAs on seed germination and seedling growth, particularly under abiotic stress. It mentions that root growth inhibition in this study could possibly be related to a high concentration of IAA and/or PAs in the LOFs, as well as hormonal crosstalk between IAA and PAs.]

Sustainability 2025 , 17 , 3087 17 of 22 to Jagadabhi [ 49 ], the toxicity of specific seeds to LOF soaking solution may be attributed to the susceptibility of seeds, nutrient availability in growing media, and the specific types of toxins in LOF It was also noted in Figure 6 B,C,D that LOFs at the dilutions of 1:50 and 1:100 in most cases stimulated shoot growth of all three tested seedlings but inhibited root growth of tomato and pakchoi. GA is mainly responsible for promoting shoot length, while the presence of IAA concentration in certain ranges was reported to stimulate the growth of the shoot but inhibit the growth of the root [ 50 ]. In addition, PAs were found to have positive effects on seed germination and seedling growth, particularly under abiotic stress [ 51 ]. However, these effects varied depending on the types and concentrations of PAs and plant species. Put was found to be able to stimulate root growth of Arabidopsis thaliana at low concentrations but increasingly inhibited it at high concentrations, while Spd and Spm did not affect root growth but inhibited seed germination [ 52 ]. Spm and Spd improved seed germination and the seedling vigor of rice, but Put failed to improve the seed vigor of tomato [ 53 , 54 ]. Most toxic effects of LOFs were evident in the root growth inhibition, especially for tomato and pakchoi (Figure 6 B,C) but not in rice (Figure 6 D). Jang et al. [ 55 ] found that 1 mM Spd promoted root and shoot growth of A. thaliana but inhibited root growth in carnation culture. Furthermore, IAA and cytokinin-activated PA-synthesizing enzymes (Arginine decarboxylase and S-adenosyl methionine decarboxylase) in carnation tissues, resulting in a sharp increase in endogenous PAs to a toxic level leading to root growth inhibition. Therefore, root growth inhibition in this study could possibly be related to a high concentration of IAA and/or PAs in the LOFs, as well as hormonal crosstalk between IAA and PAs 4.3. LOFs Alleviated Salt-Stress Impact on Growth and Physiology of Rice The application of LOFs as foliar spray significantly enhanced the growth of rice under both non-stress and salt-stress conditions (Figure 7 ). Growth enhancement could be related to the significant increase in chlorophyll contents (Figure 8 ) and net photosynthesis rates (Figure 9 ) consistent with previous reports in rice [ 56 , 57 ]. Increased chlorophyll contents enhanced the light-harvesting efficiency, net photosynthesis rates (Figure 9 ), and growth (Figure 7 ), as reviewed by Gitelson et al. [ 58 ]. The beneficial roles of LOFs could be associated with the presence of plant growth-promoting hormones, including IAA, GA, and polyamines (Figures 3 and 4 ). Plants respond to salinity by an accumulation of endogenous PAs (particularly Spd and Spm), which exert their functions through many different mechanisms, including osmotic adjustment, modulating ion transporters and channels to maintain K + /Na + homeostasis, activating antioxidant enzymes, and interacting with other plant hormones, thus leading to an enhancement of salt tolerance [ 15 , 59 , 60 ]. However, the pattern of changes in endogenous Put, Spd, and Spm in response to salinity varied depending on plant species or even different varieties in the same species. In a study involving eighteen rice cultivars, Do et al. [ 61 ] found strikingly different patterns of change in PA contents between salt-tolerant and salt-sensitive cultivars. In response to salt stress, the tolerant cultivars displayed an increase in Put, Spd, and Spm (the most prominent increase in Spm), while the sensitive cultivars showed dramatic reductions in Put and a slight reduction in Spd but an increase in Spm. The cultivar used in this study, KDML 105, is classified as salt-sensitive. The comparison between CK plants (0 mM NaCl) with salt stress CK plants (100 mM NaCl) in Figure 11 revealed that salt stress resulted in a dramatic reduction in endogenous Put (Figure 11 A,B), a small decrease in Spd (Figure 11 C,D) and a significant increase in Spm (Figure 11 E,F). This pattern of modulation of PA metabolism under salt stress was consistent with the results obtained by Do et al. [ 61 ] in salt-sensitive cultivars and Islam [ 57 ] in Nipponbare, another salt-sensitive cultivar. In response to

[[[ p. 18 ]]]

[Summary: This page discusses how LOFs Alleviated Salt-Stress Impact on Growth and Physiology of Rice. Application of LOFs as foliar spray significantly enhanced the growth of rice under both non-stress and salt-stress conditions. Among the three LOFs, SOF and MOF, which contained higher concentrations of Spd, tended to promote higher chlorophyll contents.]

Sustainability 2025 , 17 , 3087 18 of 22 salt stress, Put is converted to Spd and then to Spm, resulting in an increased Spm. A higher endogenous level of Spd/Spm compared to Put is an important indicator of salt tolerance [ 57 , 60 ]. Application of exogenous PAs to rice in the form of seed priming [ 59 , 62 ], foliar spray [ 63 ], or root immersion in hydroponics [ 56 , 64 ] was reported to improve salinity tolerance. Among the three most common PAs in plant cells, Spd and Spm were reported to effectively alleviate salt-stress damage in rice, both when applied exogenously and when their endogenous levels were raised under salt stress [ 56 , 57 , 61 , 65 , 66 ]. Among the three LOFs, SOF and MOF, which contained higher concentrations of Spd (Figure 4 C), tended to promote higher chlorophyll contents (Figure 8 B) and boosted photosynthetic performance (Figure 9 A,B), resulting in slightly higher shoot growth (Figure 7 B) than BOF. Stimulation of chlorophyll biosynthesis and photosynthesis under salt stress by exogenous Spd and/or Spm was previously reported to involve activation of chlorophyll biosynthesizing enzymes, stabilization of thylakoid membrane, and enhanced protection of PSII D 1 protein [ 15 , 17 , 67 ]. Higher ratios of (Spd + Spm):Put was reported as a significant indicator of salt tolerance, and conversion of Put to Spd and Spm contributed to rice salt tolerance [ 16 , 57 ]. Rice seedlings subjected to salt stress accumulated a high concentration of proline, which was significantly reduced when sprayed with LOFs and CF (Figure 10 ). Proline accumulation in rice in response to salt stress was reported to have multiple protective functions, including osmoregulation, protection of protein and cellular structure, scavenging reactive oxygen species, and supplying nitrogen and energy upon stress recovery [ 68 , 69 ]. Application of LOFs and CF effectively alleviated damaging impacts of salt stress by enhancing the photosynthesis system, protecting chloroplast ultrastructure, and activating the antioxidant defense system [ 20 , 67 ], hence reducing the need to utilize proline as a protective molecule Significant stimulating effects of LOFs, which are enriched in nutrients, IAA and PAs, on chlorophyll production, photosynthesis, and growth of rice in both control and salt-stress conditions implied the wide range of practical applications of LOFs for rice cultivation. However, further studies in saline rice fields are needed to ensure that LOFs are beneficial at the reproductive stage, leading to yield enhancement and soil improvement The field experiments should also be performed in multiple years and locations due to variability in salinity levels. Nevertheless, the results from this study suggested the potential of LOFs in sustainable agriculture. Aerial spraying of eco-friendly LOFs at low concentrations could possibly lead to reduced use of chemical fertilizers in rice cultivation The integrated use of LOFs not only reduces the cost for farmers but also slows down the rate of soil degradation and environmental pollution due to excessive use of chemical fertilizers. Compared with the energy-intensive manufacturing of chemical fertilizers, the production of LOFs uses molasses as a cheap energy source, requires no expensive machinery, and produces almost no toxic pollution. Moreover, the large-scale production of LOFs involves recycling agricultural waste, such as kitchen scraps, and industrial waste, such as soybean meal, which support the Zero Waste Challenge of the Sustainable Development Goals (SDGs) 5. Conclusions Although soybean and soybean-based LOF (SOF) contained slightly lower content of PAs than mushrooms and mushroom-based LOF (MOF), SOF contained the highest amount of mineral nutrients and IAA and moderate content of PAs (Put and Spd). Brassica-based LOF (BOF), on the other hand, contained the lowest nutrients and PAs. Foliar spraying with diluted solutions of all three LOFs significantly enhanced growth, chlorophyll contents, and net photosynthesis rates of greenhouse-grown rice under both non-stress and salt-stress conditions. The beneficial effects of LOFs could be related to plant growth-promoting

[[[ p. 19 ]]]

[Summary: This page continues the discussion, highlighting the beneficial effects of LOFs on chlorophyll production, photosynthesis, and growth of rice. It concludes that soybeans are considered the most suitable material for the production of LOFs. It also includes author contributions, funding information, acknowledgements, and a list of abbreviations used.]

Sustainability 2025 , 17 , 3087 19 of 22 properties of IAA, GA, and PAs. The performance of SOF was comparable to that of the chemical fertilizer (CF) and more effective than MOF and BOF. Therefore, soybeans are considered the most suitable material for the production of LOFs containing high mineral nutrients, IAA and PAs Supplementary Materials: The following supporting information can be downloaded at: https: //www.mdpi.com/article/10.3390/su 17073087/s 1 , Supplementary ANOVA Tables Author Contributions: Conceptualization, N.R. and P.T.; methodology, N.R., S.B. and A.D.; validation, N.R. and P.T.; formal analysis, M.N.N. and S.S.; investigation, M.N.N. and S.S.; resources, S.B. and A.D.; data curation, M.N.N.; writing—original draft preparation, N.R., M.N.N. and P.T.; writing— review and editing, N.R., S.B., A.D. and P.T.; visualization, M.N.N. and S.S.; supervision, P.T.; project administration, P.T.; funding acquisition, P.T. All authors have read and agreed to the published version of the manuscript Funding: This research was funded by the Research Affairs Division, Khon Kaen University, grant number 11-1231/2562 and RP 67-10-001 Institutional Review Board Statement: Not applicable Informed Consent Statement: Not applicable Data Availability Statement: Data are available upon request Acknowledgments: The authors wish to thank the Faculty of Agriculture, Khon Kaen University, for supporting the greenhouse facility Conflicts of Interest: The authors declare no conflicts of interest Abbreviations The following abbreviations are used in this manuscript: LOF Liquid organic fertilizer BOF Brassica-based fertilizer MOF Mushroom-based fertilizer SOF Soybean-based fertilizer CF Chemical fertilizer EC Electrical conductivity IAA Indole acetic acid GA Gibberellic acid PA Polyamine Put Putrescine Spd Spermidine Spm Spermine PGPB Plant growth-promoting bacteria NFB Nitrogen-fixing bacteria PSB Phosphorus solubilizing bacteria KSB Potassium solubilizing bacteria GI Germination index VI Vigor index CK Control without fertilizer DAT Days after NaCl treatment DRW Dried root weight DSW Dried shoot weight Pn Net photosynthesis rate

[[[ p. 20 ]]]

[Summary: This page contains the first part of the references cited in the study.]

Sustainability 2025 , 17 , 3087 20 of 22 References 1 Liu, Y.; Lan, X.; Hou, H.; Ji, J.; Liu, X.; Lv, Z. Multifaceted ability of organic fertilizers to improve crop productivity and abiotic stress tolerance: Review and perspectives Agronomy 2024 , 14 , 1141. [ CrossRef ] 2 Culas, R.J.; Anwar, M.R.; Maraseni, T.N. A framework for evaluating benefits of organic fertilizer use in agriculture J. Agric. Food Res 2025 , 19 , 101576. [ CrossRef ] 3 Wang, L.; Sun, X.; Li, S.; Zhang, T.; Zhang, W.; Zhai, P. Application of organic amendments to a coastal saline soil in North China: Effects on soil physical and chemical properties and tree growth PLoS ONE 2014 , 98 , e 89185. [ CrossRef ] [ PubMed ] 4 Wichern, F.R.; Islam, M.; Hemkemeyer, M.; Watson, C.; Joergensen, R. Organic amendments alleviate salinity effects on soil microorganisms and mineralisation processes in aerobic and anaerobic paddy rice soils Front. Sustain. Food Syst 2020 , 4 , 30 [ CrossRef ] 5 Zayed, B.A.; Elkhoby, W.M.; Salem, A.K.; Ceesay, M.; Uphoff, N.T. Effect of integrated nitrogen fertilizer on rice productivity and soil fertility under saline soil conditions J. Plant Biol. Res 2013 , 2 , 14–24 6 Litardo, R.C.M.; Bendezú, S.J.G.; Zenteno, M.D.C.; Pérez-Almeida, I.B.; Parismoreno, L.L.; García, E.D.L. Effect of mineral and organic amendments on rice growth and yield in saline soils J. Saudi Soc. Agric. Sci 2022 , 21 , 29–37. [ CrossRef ] 7 Phibunwatthanawong, T.; Riddech, N. Liquid organic fertilizer production for growing vegetables under hydroponic condition Int. J. Recycl. Org. Waste Agric 2019 , 8 , 369–380. [ CrossRef ] 8 Rengasamy, K.R.R.; Kulkarni, M.G.; Papenfus, H.B.; Van Staden, J. Quantification of plant growth biostimulants, phloroglucinol and eckol, in four commercial seaweed liquid fertilizers and some by-products Algal Res 2016 , 20 , 57–60. [ CrossRef ] 9 Martinez-Alcantara, B.; Marinez-Cuenca, M.-R.; Bermejo, A.; Legaz, F.; Quiñones, A. Liquid organic fertilizers for sustainable agriculture: Nutrient uptake of organic versus mineral fertilizers in citrus trees PLoS ONE 2016 , 11 , e 0161619. [ CrossRef ] 10 Vinoth, S.; Sundari; Gurusaravanan, P.; Sivakumar, S.; Siva, G.; Kumar, G.P.; Manju; Velmurugan, K.; Lakshminarayana, V.; Jayabalan, N. Evaluation of seagrass liquid extract on salt stress alleviation in tomato plants Asian J. Plant Sci 2017 , 16 , 172–183 [ CrossRef ] 11 Sunaryo, Y.; Purnomo, D.; Darini, M.T.; Cahyani, V.R. Nutrients content and quality of liquid fertilizer made from goat manure J Phys. Conf. Ser 2018 , 1022 , 012053. [ CrossRef ] 12 Widjajanto, D.W.; Purbajanti, E.D.; Sumarsono; Utama, C.S. The role of local microorganisms generated from rotten fruits and vegetables in producing liquid organic fertilizer J. Appl. Chem. Sci 2017 , 4 , 325–332. [ CrossRef ] 13 Kebrom, T.H.; Woldesenbet, S.; Bayabil, H.K.; Garcia, M.; Gao, M.; Ampim, P.; Awal, R.; Fares, A. Evaluation of phytotoxicity of three organic amendments to collard greens using the seed germination bioassay Environ. Sci. Pollut. Res 2019 , 26 , 5454–5462 [ CrossRef ] 14 Wong, W.S.; Tan, S.N.; Ge, L.; Chen, X.; Yong, J.W.H. The importance of phytohormones and microbes in biofertilizers. In Bacterial Metabolites in Sustainable Agroecosystem ; Maheshwari, D.K., Ed.; Springer International Publishing: Cham, Switzerland, 2015; pp 105–158. [ CrossRef ] 15 Biondi, S.; Antognoni, F.; Marincich, L.; Lianza, M.; Tejos, R.; Ruiz, K.B. The polyamine “multiverse” and stress mitigation in crops: A case study with seed priming in quinoa Sci. Hortic 2022 , 304 , 111292. [ CrossRef ] 16 Amiri, H.; Banakar, M.H.; Hemmati Hassan Gavyar, P. Polyamines: New plant growth regulators promoting salt stress tolerance in plants J. Plant Growth Regul 2024 , 43 , 4923–4940. [ CrossRef ] 17 Pottosin, I.; Olivas-Aguirre, M.; Dobrovinskaya, O.; Zepeda-Jazo, I.; Shabala, S. Modulation of ion transport across plant membranes by polyamines: Understanding specific modes of action under stress Front. Plant Sci 2021 , 11 , 616077. [ CrossRef ] 18 Wu, J.; Shu, S.; Li, C.; Sun, J.; Guo, S. Spermidine-mediated hydrogen peroxide signaling enhances the antioxidant capacity of salt-stressed cucumber roots Plant Physiol. Biochem 2018 , 128 , 152–162. [ CrossRef ] 19 Shabala, S.; Munns, R. Salinity stress: Physiological constraints and adaptive mechanisms. In Plant Stress Physiology ; Shabala, S., Ed.; CABI: Allen, TX, USA, 2012; pp. 59–93. [ CrossRef ] 20 Hassan, N.; Ebeed, H.; Aljaarany, A. Exogenous application of spermine and putrescine mitigate adversities of drought stress in wheat by protecting membranes and chloroplast ultra-structure Physiol. Mol. Biol. Plants 2020 , 26 , 233–245. [ CrossRef ] 21 Atiya Ali, M.; Poortvliet, E.; Strömberg, R.; Yngve, A. Polyamines in foods: Development of a food database Food Nutr. Res 2011 , 55 , 5572. [ CrossRef ] 22 Walkley, A.; Black, I.A. An examination of the Degtjareff method for determining soil organic matter, and a proposed modification of the chromic acid titration method Soil Sci 1934 , 37 , 29–38. [ CrossRef ] 23 Sarwar, M.; Arshad, M.; Martens, D.A.; Frankenberger, W.T. Tryptophan-dependent biosynthesis of auxins in soil Plant Soil 1992 , 147 , 207–215. [ CrossRef ] 24 Holbrook, A.A.; Edge, W.J.W.; Bailey, F. Spectrophotometric method for determination of gibberellic acid Adv. Chem. Ser 2009 , 28 , 159–167. [ CrossRef ] 25 Pedrol, N.; Tiburcio, A.F. Polyamines determination by TLC and HPLC. In Handbook of Plant Ecophysiology Techniques ; Roger, M.J.R., Ed.; Kluwer Academic Publishers: Dordrecht, The Netherlands, 2002; pp. 335–363. [ CrossRef ]

[[[ p. 21 ]]]

[Summary: This page continues listing the references cited in the study.]

Sustainability 2025 , 17 , 3087 21 of 22 26 Zucconi, F.; Forte, M.; Monaco, A.; De Bertoldi, M. Biological evaluation of compost maturity Biocycle 1981 , 22 , 27–29 27 Arnon, D.I. Copper enzymes in isolated chloroplasts. Polyphenoloxidase in Beta Vulgaris Plant Physiol 1949 , 24 , 1–15. [ CrossRef ] 28 Bates, L.S.; Waldren, R.P.; Teare, I.D. Rapid determination of free proline for water-stress studies Plant Soil 1973 , 39 , 205–207 [ CrossRef ] 29 Wynne, A.T.; Meyer, J.H. An economic assessment of using molasses and condensed molasses solids as a fertiliser in the South African sugar industry. In Proceedings of the South African Sugar Technology Association, Mount Edgecombe, South Africa, 30 July–2 August 2002; pp. 71–78 30 Olstorpe, M.; Lyberg, K.; Lindberg, J.E.; Schnürer, J.; Passoth, V. Population diversity of yeasts and lactic acid bacteria in pig feed fermented with whey, wet wheat distillers’ grains, or water at different temperatures Appl. Environ. Microbiol 2008 , 74 , 1696–1703. [ CrossRef ] 31 Sundberg, C.; Smårs, S.; Jönsson, H. Low pH as an inhibiting factor in the transition from mesophilic to thermophilic phase in composting Bioresour. Technol 2004 , 95 , 145–150. [ CrossRef ] 32 Kadir, A.A.; Rahman, N.A.; Azhari, N.W. The utilization of Banana Peel in the fermentation liquid in food waste composting IOP Conf. Ser. Mater. Sci. Eng 2016 , 136 , 012055. [ CrossRef ] 33 Okamoto, A.; Sugi, E.; Koizumi, Y.; Yanagida, F.; Udaka, S. Polyamine content of ordinary foodstuffs and various fermented foods Biosci. Biotechnol. Biochem 2009 , 61 , 1582–1584. [ CrossRef ] 34 Prachyakij, P.; Charernjiratrakul, W.; Kantachote, D. Improvement in the quality of a fermented seaweed beverage using an antiyeast starter of Lactobacillus plantarum DW 3 and partial sterilization World J. Microbiol. Biotechnol 2008 , 24 , 1713–1720 [ CrossRef ] 35 Pan, I.; Dam, B.; Sen, S.K. Composting of common organic wastes using microbial inoculants 3 Biotech 2012 , 2 , 127–134. [ CrossRef ] 36 Podile, A.; Kishore, G. Plant growth-promoting rhizobacteria. In Plant-Associated Bacteria ; Springer: Dordrecht, The Netherlands, 2006; pp. 195–230. [ CrossRef ] 37 Maheshwari, D.M.; Dheeman, S.; Agarwal, M. Phytohormone-producing PGPR for sustainable agriculture. In Bacterial Metabolites in Sustainable Agroecosystem ; Maheshwari, D.K., Ed.; Springer International Publishing: Cham, Switzerland, 2015; pp. 159–182 [ CrossRef ] 38 Kantachote, D.; Kowpong, K.; Charernjiratrakul, W.; Pengnoo, A. Microbial succession in a fermenting of wild forest noni ( Morinda coreia Ham) fruit plus molasses and its role in producing a liquid fertilizer Electron. J. Biotechnol 2009 , 12 , 1–11. [ CrossRef ] 39 Shirasawa, H.; Nishiyama, C.; Hirano, R.; Koyanagi, T.; Okuda, S.; Takagi, H.; Kurihara, S. Isolation of the high polyamineproducing bacterium Staphylococcus epidermidis FB 146 from fermented foods and identification of polyamine-related genes Biosci Microbiota Food Health 2023 , 42 , 24–33. [ CrossRef ] [ PubMed ] 40 Handa, A.K.; Fatima, T.; Mattoo, A.K. Polyamines: Bio-molecules with diverse functions in plant and human health and disease Front. Chem 2018 , 6 , 10. [ CrossRef ] 41 Zaman, M.Z.; Abu Bakar, F.; Jinap, S.; Bakar, J. Novel starter cultures to inhibit biogenic amines accumulation during fish sauce fermentation Int. J. Food Microbiol 2011 , 145 , 84–91. [ CrossRef ] 42 Latorre-Moratalla, M.L.; Bover-Cid, S.; Veciana-Nogués, M.T.; Vidal-Carou, M.C. Control of biogenic amines in fermented sausages: Role of starter cultures Front. Microbiol 2012 , 3 , 169. [ CrossRef ] 43 Jin, Y.H.; Lee, J.H.; Park, Y.K.; Lee, J.-H.; Mah, J.-H. The occurrence of biogenic amines and determination of biogenic amineproducing lactic acid bacteria in Kkakdugi and Chonggak Kimchi Foods 2019 , 8 , 73. [ CrossRef ] 44 Tiquia, S.M.; Tam, N.F.Y.; Hodgkiss, I.J. Effects of composting on phytotoxicity of spent pig-manure sawdut litter Environ. Pollut 1996 , 93 , 249–256. [ CrossRef ] 45 Warman, P.R. Evaluation of seed germination and growth tests for assessing compost maturity Compost Sci. Util 1999 , 7 , 33–37 [ CrossRef ] 46 Selim, S.M.; Zayed, M.S.; Houssam, M.A. Evaluation of phytotoxicity of compost during composting process Nat. Sci 2012 , 10 , 69–77 47 Irik, H.A.; Bikmaz, G. Effect of different salinity on seed germination, growth parameters and biochemical contents of pumpkin ( Cucurbita pepo L.) seeds cultivars Sci. Rep 2024 , 14 , 6929. [ CrossRef ] [ PubMed ] 48 Hepsibha, B.T.; Tha, A.G. Revealing the non-phytotoxic effect of gunapaselam (fermented fish waste) by a dose dependent in vitro study Int. J. Pharma Bio Sci 2017 , 8 , 643–648. [ CrossRef ] 49 Jagadabhi, P.S.; Wani, S.P.; Kaushal, M.; Patil, M.; Vemula, A.K.; Rathore, A. Physico-chemical, microbial and phytotoxicity evaluation of composts from sorghum, finger millet and soybean straws Int. J. Recycl. Org. Waste Agric 2019 , 8 , 279–293 [ CrossRef ] 50 Tanimoto, E. Regulation of root growth by plant hormones—Roles for auxin and gibberellin Crit. Rev. Plant Sci 2005 , 24 , 249–265 [ CrossRef ] 51 Alcázar, R.; Bueno, M.; Tiburcio, A.F. Polyamines: Small amines with large effects on plant abiotic stress tolerance Cells 2020 , 9 , 2373. [ CrossRef ]

[[[ p. 22 ]]]

[Summary: This page concludes the references cited in the study. It also contains the Disclaimer/Publisher’s Note.]

Sustainability 2025 , 17 , 3087 22 of 22 52 Mirza, J.I.; Bagni, N. Effects of exogenous polyamines and difluoromethylornithine on seed germination and root growth of Arabidopsis thaliana Plant Growth Regul 1991 , 10 , 163–168. [ CrossRef ] 53 Farooq, M.; Basra, S.M.A.; Rehman, H.; Hussain, M. Seed priming with polyamines improves the germination and early seedling growth in fine rice J. New Seeds 2008 , 9 , 145–155. [ CrossRef ] 54 Afzal, I.; Munir, F.; Ayub, C.M.; Basra, S.M.A.; Hameed, A.; Nawaz, A. Changes in antioxidant enzymes, germination capacity and vigour of tomato seeds in response of priming with polyamines Seed Sci. Technol 2009 , 37 , 765–770. [ CrossRef ] 55 Jang, S.J.; Choi, Y.J.; Park, K.Y. Effects of polyamines on shoot and root development in arabidopsis seedlings and carnation cultures J. Plant Biol 2002 , 45 , 230–236. [ CrossRef ] 56 Saleethong, P.; Sanitchon, J.; Kong-ngern, K.; Theerakulpisut, P. Pretreatment with spermidine reverses inhibitory effects of salt stress in two rice ( Oryza sativa L.) cultivars differing in salinity tolerance Asian J. Plant Sci 2011 , 10 , 245–254. [ CrossRef ] 57 Islam, A.; Pang, J.; Meng, F.; Li, Y.; Xu, N.; Yang, C.; Liu, J. Putrescine, spermidine, and spermine play distinct roles in rice salt tolerance J. Integr. Agric 2020 , 19 , 643–655. [ CrossRef ] 58 Gitelson, A.A.; Peng, Y.; Viña, A.; Arkebauer, T.; Schepers, J.S. Efficiency of chlorophyll in gross primary productivity: A proof of concept and application in crops J. Plant Physiol 2016 , 201 , 101–110. [ CrossRef ] [ PubMed ] 59 Paul, S.; Roychoudhury, A. Seed priming with spermine and spermidine regulates the expression of diverse groups of abiotic stress-responsive genes during salinity stress in the seedlings of indica rice varieties Plant Gene 2017 , 11 , 124–132. [ CrossRef ] 60 Shao, J.; Huang, K.; Batool, M.; Idrees, F.; Afzal, R.; Haroon, M.; Noushahi, H.A.; Wu, W.; Hu, Q.; Lu, X.; et al. Versatile roles of polyamines in improving abiotic stress tolerance of plants Front. Plant Sci 2022 , 13 , 1003155. [ CrossRef ] 61 Do, P.T.; Drechsel, O.; Heyer, A.G.; Hincha, D.K.; Zuther, E. Changes in free polyamine levels, expression of polyaminebiosynthesis genes, and performance of rice cultivars under salt stress: A comparison with responses to drought Front. Plant Sci 2014 , 5 , 182 [ CrossRef ] 62 Chuntaburee, S.; Sanitchon, J.; Pattanagul, W.; Theerakulpisut, P. Alleviation of salt stress in seedlings of black glutinous rice by seed priming with spermidine and gibberellic acid Not. Bot. Horti Agrobot. Cluj-Napoca 2014 , 42 , 405–413. [ CrossRef ] 63 Theerakulpisut, P.; Madee, P.; Pamuta, D.; Nounjan, N. Exogenous application of spermidine (SPD) and wood vinegar improves salt tolerance in salt-sensitive rice ( Oryza sativa L.) Pak. J. Bot 2021 , 53 , 1–9. [ CrossRef ] 64 Ghosh, N.; Das, S.P.; Mandal, C.; Gupta, S.; Das, K.; Dey, N.; Adak, M.K. Variations of antioxidative responses in two rice cultivars with polyamine treatment under salinity stress Physiol. Mol. Biol. Plants 2012 , 18 , 301–313. [ CrossRef ] 65 Roychoudhury, A.; Basu, S.; Sengupta, D.N. Amelioration of salinity stress by exogenously applied spermidine or spermine in three varieties of indica rice differing in their level of salt tolerance J. Plant Physiol 2011 , 168 , 317–328. [ CrossRef ] 66 Jiang, D.X.; Chu, X.; Li, M.; Hou, J.J.; Tong, X.; Gao, Z.P.; Chen, G.X. Exogenous spermidine enhances salt-stressed rice photosynthetic performance by stabilizing structure and function of chloroplast and thylakoid membranes Photosynthetica 2020 , 58 , 61–71. [ CrossRef ] 67 Ahanger, M.A.; Qin, C.; Maodong, Q.; Dong, X.X.; Ahmad, P.; Abd_Allah, E.F.; Zhang, L. Spermine application alleviates salinity induced growth and photosynthetic inhibition in Solanum lycopersicum by modulating osmolyte and secondary metabolite accumulation and differentially regulating antioxidant metabolism Plant Physiol. Biochem 2019 , 144 , 1–13. [ CrossRef ] [ PubMed ] 68 Mansour, M.M.F.; Ali, E.F. Evaluation of proline functions in saline conditions Phytochemistry 2017 , 140 , 52–68. [ CrossRef ] [ PubMed ] 69 Nguyen, H.T.T.; Das Bhowmik, S.; Long, H.; Cheng, Y.; Mundree, S.; Hoang, L.T.M. Rapid accumulation of proline enhances salinity tolerance in Australian wild rice Oryza australiensis domin Plants 2021 , 10 , 2044. [ CrossRef ] [ PubMed ] 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.

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