Next Article in Journal
Effects of Early-Stage Treeline Shifts on Soil Microbial Biomass and Catabolic Diversity in Reserved and Grazed Subalpine Meadows
Previous Article in Journal
The Divergence History of Two Japanese Torreya Taxa (Taxaceae): Implications for Species Diversification in the Japanese Archipelago
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Physiological and Agronomic Responses of Maize (Zea mays L.) to Compost and PGPR Under Different Salinity Levels

by
Ibrahim El-Akhdar
1,
Nevien Elhawat
2,3,*,
Mahmoud M. A. Shabana
4,
Hesham M. Aboelsoud
5 and
Tarek Alshaal
2,6
1
Department of Microbiology, Soils, Water and Environment Research Institute (SWERI), Agriculture Research Center (ARC), Giza 12112, Egypt
2
Institute of Applied Plant Biology, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, 4032 Debrecen, Hungary
3
Faculty of Agriculture (for Girls), Al-Azhar University, Nasr City, Cairo 11884, Egypt
4
Soils, Water and Environment Research Institute (SWERI), Agricultural Research Center (ARC), Giza 12619, Egypt
5
Soil Improvement and Conservation Research Department, Soils, Water, and Environment Research Institute (SWERI), Agriculture Research Center (ARC), Giza 12112, Egypt
6
Soil and Water Science Department, Faculty of Agriculture, Kafrelsheikh University, Kafr El-Sheikh 33516, Egypt
*
Author to whom correspondence should be addressed.
Plants 2025, 14(10), 1539; https://doi.org/10.3390/plants14101539
Submission received: 28 April 2025 / Revised: 16 May 2025 / Accepted: 19 May 2025 / Published: 20 May 2025
(This article belongs to the Section Plant Protection and Biotic Interactions)

Abstract

:
Salinity stress severely limits maize (Zea mays L.) productivity, necessitating sustainable mitigation strategies to ensure food security in affected regions. This study investigates the efficacy of compost (5 and 10 t/ha) and plant growth-promoting rhizobacteria (PGPR; Azospirillum brasilense) in enhancing maize productivity and soil health under salinity stress (ECe 3.5 and 6.3 dS/m) across three varieties (Single Cross 131, 132, and 178) in field experiments conducted in 2023 and 2024. Combined compost-10 + PGPR treatment significantly increased grain yield by up to 197% and straw yield by nearly 300% in Single Cross 178 under high salinity, surpassing single treatments. Nitrogen content in grains and straw rose by 157%, while proline, peroxidase activity, and chlorophyll content improved, indicating robust stress tolerance. Soil properties, including pH, ECe, sodium adsorption ratio, and exchangeable sodium percentage, were significantly ameliorated, with bulk density reduced and porosity increased. Soil organic matter and microbial populations (bacteria and fungi) were also enhanced. Single Cross 178 exhibited superior stress tolerance, highlighting varietal differences. These findings, supported by comparisons with the existing literature, underscore the synergistic role of compost and PGPR in improving nutrient uptake, antioxidant defenses, and soil structure. This study offers a sustainable strategy for maize cultivation in saline environments, with implications for global food security.

1. Introduction

Soil salinity is a major abiotic stress that significantly limits agricultural productivity, particularly in arid and semi-arid regions [1]. High salinity levels disrupt plant physiological processes, reduce nutrient uptake, and impair growth, ultimately leading to decreased crop yields [2]. Maize (Zea mays L.), a globally important cereal crop, is particularly sensitive to salinity stress, which affects its grain yield, straw yield, and overall physiological health [3]. The sensitivity of maize to salinity is attributed to its relatively low tolerance to osmotic stress and ion toxicity, which can lead to reduced photosynthetic efficiency, impaired water relations, and altered nutrient balance [4]. As global food demand continues to rise, particularly in regions prone to salinity, there is an urgent need to develop sustainable strategies to improve crop productivity under such adverse conditions.
To mitigate the adverse effects of salinity, sustainable agricultural practices, such as the application of organic amendments like compost, have gained considerable attention [5]. Compost application has been shown to improve soil structure, enhance nutrient availability, and increase microbial activity, all of which contribute to better plant growth under stress conditions [6]. Compost not only provides essential macro- and micronutrients but also improves soil water retention and reduces the bioavailability of toxic ions such as sodium (Na+) and chloride (Cl⁻), which are detrimental to plant growth under saline conditions [7]. Furthermore, compost enhances the soil’s cation-exchange capacity (CEC), which helps in mitigating the negative effects of salinity by promoting the uptake of beneficial nutrients like potassium (K+) and calcium (Ca2+) [8]. The organic matter in compost also acts as a buffer, stabilizing soil pH and reducing the impact of salinity on soil microbial communities [7].
In addition to compost, plant growth-promoting rhizobacteria (PGPR), a group of beneficial soil bacteria, play a crucial role in promoting plant growth by enhancing nutrient uptake, producing phytohormones, and inducing systemic resistance against abiotic stresses [8,9,10,11,12]. PGPR can alleviate salinity stress by improving root architecture, increasing the production of osmoprotectants such as proline, and enhancing antioxidant enzyme activity, which collectively help plants cope with oxidative stress induced by high salinity [13]. For instance, PGPR strains such as Azospirillum and Azotobacter have been reported to produce exopolysaccharides that bind Na+ ions, reducing their uptake by plants and thereby mitigating ion toxicity [14]. Moreover, PGPR can modulate the expression of stress-responsive genes, enhancing the plant’s ability to maintain osmotic balance and cellular homeostasis under saline conditions [15]. The ability of PGPR to solubilize phosphate, fix nitrogen, and produce siderophores further contributes to improved nutrient availability and uptake, which are critical for plant growth under stress [16].
The combined use of compost and PGPR has been reported to synergistically improve crop performance under saline conditions by enhancing soil health and plant resilience [17]. Compost provides a favorable environment for PGPR colonization and activity, while PGPR, in turn, enhances the mineralization of organic matter in compost, making nutrients more available to plants [18]. This mutualistic interaction can lead to improved soil fertility, enhanced microbial diversity, and better plant growth under salinity stress. For example, studies have shown that the combined application of compost and PGPR significantly increases the biomass and yield of crops such as wheat and maize under saline conditions [8]. The synergistic effects of compost and PGPR are particularly evident in their ability to improve soil aggregation, water infiltration, and root penetration, all of which are critical for plant growth in saline soils [6].
Salinity stress triggers various physiological and biochemical responses in plants, including the accumulation of osmolytes like proline, the increased activity of antioxidant enzymes such as peroxidase, and alterations in chlorophyll content [19,20]. These responses are critical for maintaining cellular homeostasis and protecting plants from oxidative damage under stress [21]. Proline, for instance, acts as an osmoprotectant, stabilizing proteins and cellular structures, while antioxidant enzymes such as peroxidase scavenge reactive oxygen species (ROS) that accumulate under salinity stress [22]. Chlorophyll content, a key indicator of photosynthetic efficiency, often declines under salinity due to the degradation of chlorophyll pigments and the inhibition of chlorophyll synthesis [12]. Understanding these physiological responses is essential for developing strategies to enhance plant tolerance to salinity.
Furthermore, salinity affects soil microbial communities, which play a vital role in nutrient cycling and plant health. High salinity levels can reduce microbial diversity and activity, leading to impaired nutrient cycling and reduced plant growth [23]. However, the application of compost and PGPR can mitigate these negative effects by promoting the growth of beneficial microbial populations and enhancing their functional roles in the soil ecosystem [18]. For example, compost provides a carbon-rich substrate that supports the growth of salt-tolerant microbial communities, while PGPR can enhance the activity of nitrogen-fixing and phosphate-solubilizing bacteria, improving nutrient availability for plants [16]. The interaction between compost, PGPR, and soil microbial communities is a key factor in determining the success of sustainable agricultural practices in saline environments.
Despite the growing body of research on the individual effects of compost and PGPR, there is limited information on their combined impact on maize varieties under different salinity levels. This study aims to investigate the synergistic effects of compost and PGPR on maize productivity and resilience under saline soil conditions, with the goal of developing sustainable agricultural strategies to mitigate salinity stress. Specifically, the objectives are: (1) to evaluate the efficacy of compost (applied at 5 and 10 t/ha), PGPR (Azospirillum brasilense), and their combined applications in enhancing grain and straw yields, nitrogen uptake, and physiological stress responses (e.g., proline accumulation, peroxidase activity, and chlorophyll content) in three maize varieties (Single Cross 131, 132, and 178) grown under two salinity levels (ECe 3.5 and 6.3 dS/m); (2) to assess the mechanisms by which compost and PGPR improve soil health, including reductions in soil electrical conductivity (ECe), sodium adsorption ratio (SAR), and exchangeable sodium percentage (ESP), as well as increases in soil organic matter (SOM), available nitrogen (Ava-N), and microbial populations, thereby alleviating salinity-induced constraints; (3) to elucidate the synergistic interactions between compost and PGPR in promoting nutrient availability, soil structure, and microbial activity, and to determine how these interactions enhance maize tolerance to salinity stress through improved osmotic adjustment, antioxidant defenses, and photosynthetic efficiency; and (4) to identify varietal differences in salinity tolerance among maize genotypes and their responsiveness to compost and PGPR treatments, highlighting the role of genetic factors in optimizing amendment efficacy for sustainable crop production in saline environments.

2. Results

2.1. Maize Yield and Nitrogen Response to Compost and PGPR Treatments Under Salinity Stress

The grain yield was significantly improved by the applied treatments under both salinity levels (Table 1). At ECe 3.5 dS/m, the highest grain yields were achieved with compost-10 + PGPR, ranging from 10.7 to 11.6 t/ha across the three maize varieties, representing a substantial increase compared to the control. The Single Cross 178 cultivar showed the highest grain yield in 2023 and 2024 under the ECe 3.5, recording 12.0 and 12.1 t/ha, respectively. Under the more severe ECe 6.3 dS/m condition, the same treatment maintained superior performance, with yields reaching 8.9–10.5 t/ha. Among the varieties, Single Cross 178 showed the most pronounced response, particularly under high salinity, where compost-10 + PGPR enhanced grain yield by up to 197% compared to the untreated control.
Straw yield followed a similar trend, with the combined treatments (compost-5 + PGPR and compost-10 + PGPR) producing the highest values. At ECe 3.5 dS/m, straw yields peaked at 21.7–25.5 t/ha with compost-10 + PGPR, while at ECe 6.3 dS/m, they reached 18.0–19.8 t/ha. Single Cross 178 again demonstrated the greatest improvement, particularly under high salinity, where straw yield nearly tripled with the best-performing treatments compared to the control.
Nitrogen content in grains (N-grain) increased consistently with the application of compost and PGPR. The highest values were recorded with compost-10 + PGPR, ranging from 1.34 to 1.36% at ECe 3.5 dS/m and 1.15 to 1.26% at ECe 6.3 dS/m. Single Cross 131 and 132 showed moderate but significant improvements, while Single Cross 178 exhibited the most notable enhancement, particularly under high salinity stress.
Nitrogen content in straw (N-straw) also improved with the treatments, particularly under combined applications. The highest N-straw values were observed with compost-10 + PGPR, reaching 2.23–2.24% at ECe 3.5 dS/m and 1.99–2.09% at ECe 6.3 dS/m. Single Cross 178 displayed the strongest response, with N-straw levels increasing by up to 157% compared to the control under high salinity. These results highlight the effectiveness of compost and PGPR in enhancing nitrogen uptake, particularly under stress conditions.
Varietal differences were evident across all of the measured traits. Single Cross 178 consistently outperformed the other varieties, demonstrating greater tolerance to salinity and a stronger response to the treatments. Single Cross 131 and 132 also benefited from the amendments but to a lesser extent, suggesting that genetic factors play a key role in stress adaptation. The superior performance of the combined treatments underscores their potential as a sustainable strategy for improving maize productivity in saline soils.

2.2. Proline Content, Peroxidase Activity, and Total Chlorophyll in Three Maize Varieties Under Different Salinity Levels and Treatments

The proline content in maize leaves showed a clear response to salinity stress and applied treatments (Table 2). Under ECe 3.5 dS/m, proline levels remained relatively low across all varieties, ranging from 2.25 to 4.23 μmol/g FW, with the highest values observed in the compost-5 + PGPR treatments. However, under severe salinity (ECe 6.3 dS/m), proline accumulation increased dramatically, reaching 19.05–37.37 μmol/g FW, indicating its role as an osmoprotectant. The Single Cross 131 variety consistently showed the highest proline accumulation under stress, particularly with the compost-10 + PGPR treatment (37.37 μmol/g FW in 2023), suggesting stronger osmotic adjustment capability compared to the varieties Single Cross 132 and Single Cross 178.
Peroxidase activity followed a similar pattern, with significantly higher values under ECe 6.3 dS/m compared to ECe 3.5 dS/m across all varieties. The enzyme activity ranged from 12.32 to 39.42 μmol H2O2/min/g FW at ECe 3.5 dS/m, while at ECe 6.3 dS/m it increased to 45.03–180.95 μmol H2O2/min/g FW. The Single Cross 131 variety demonstrated the highest peroxidase activity under both salinity levels, particularly with PGPR and compost + PGPR combinations, reaching up to 180.95 μmol H2O2/min/g FW in 2023 with the compost-10 + PGPR treatment. This suggests more efficient antioxidant defense mechanisms in the Single Cross 131 variety compared to the other two varieties.
The total chlorophyll content was negatively affected by salinity stress, with lower values observed at ECe 6.3 dS/m (0.51–1.55 mg/g FW) compared to ECe 3.5 dS/m (1.36–2.94 mg/g FW). Among the treatments, compost applications, especially when combined with PGPR, helped maintain higher chlorophyll levels under stress conditions. The Single Cross 131 variety maintained the highest chlorophyll content under both salinity levels, with the compost-10 + PGPR treatment showing the best results (2.94 mg/g FW at ECe 3.5 dS/m and 1.55 mg/g FW at ECe 6.3 dS/m in 2024). The chlorophyll preservation pattern followed Single Cross 131 > Single Cross 132 > Single Cross 178, indicating differential sensitivity to salinity among the varieties.
The results demonstrate that combined applications of compost and PGPR were generally more effective than single treatments in mitigating salinity stress effects on maize. The Single Cross 131 variety consistently showed better stress-tolerance indicators compared to the Single Cross 132 and Single Cross 178 varieties, as evidenced by higher proline accumulation, peroxidase activity, and chlorophyll preservation under salinity stress. These findings suggest that genotype-specific responses should be considered when developing salinity mitigation strategies for maize cultivation.

2.3. Impact of Compost and PGPR Treatments on Soil Properties of Maize Cultivation Under Salinity Stress

The soil pH measurements showed consistent reductions across all varieties when treated with compost and PGPR applications (Table 3). Under ECe 3.5 dS/m, pH values ranged from 7.30 to 7.92 in control plots, decreasing to 7.30–7.80 with the compost treatments. More pronounced effects were observed under ECe 6.3 dS/m, where compost-10 + PGPR treatment reduced pH from 8.22–8.45 in controls to 7.70–7.90 across varieties. The Single Cross 178 variety exhibited the greatest pH reduction, particularly with the compost-10 + PGPR treatment (7.82 in 2023 at ECe 6.3 dS/m), suggesting better soil amendment efficiency compared to the Single Cross 132 and Single Cross 178 varieties.
The ECe showed significant decreases with all of the treatments compared to the controls. At ECe 3.5 dS/m, the ECe values dropped from 4.10–5.82 dS/m in the controls to 2.14–3.72 dS/m with the compost-10 + PGPR treatment. Under ECe 6.3 dS/m, the most effective treatment (compost-10 + PGPR) reduced ECe from 6.22–7.67 dS/m in controls to 2.30–4.21 dS/m. The Single Cross 132 variety demonstrated the most consistent ECe reductions across both years, with the compost-10 + PGPR treatment achieving the lowest values (2.14 dS/m at ECe 3.5 dS/m and 3.87 dS/m at ECe 6.3 dS/m in 2023).
The SAR followed similar improvement patterns, with the compost-10 + PGPR treatment showing the greatest reductions. At ECe 3.5 dS/m, the SAR decreased from 10.14–12.09 in controls to 8.07–9.10 with compost-10 + PGPR. Under ECe 6.3 dS/m, the SAR values dropped from 13.00–14.44 in controls to 9.16–10.50 with the same treatment. The Single Cross 131 variety showed the highest baseline SAR values but also the most significant improvements, particularly under ECe 6.3 dS/m where compost-10 + PGPR reduced the SAR by 26.5% compared to the control.
The ESP mirrored the SAR trends, with compost-10 + PGPR consistently producing the lowest values across both salinity levels (Table 4). At ECe 3.5 dS/m, ESP decreased from 12.04–14.21% in controls to 9.62–10.84% with compost-10 + PGPR. Under ECe 6.3 dS/m, the treatment reduced ESP from 15.19–16.70% in controls to 10.91–12.46%. Variety 3 exhibited the most notable ESP reductions, particularly under ECe 6.3 dS/m where compost-5 + PGPR treatment lowered ESP by 33.7% compared to the control.
The results demonstrate that combined compost and PGPR applications were more effective than single treatments in improving soil properties under salinity stress. Compost-10 + PGPR consistently showed the best performance across all of the measured parameters. While all of the varieties responded positively to the treatments, the Single Cross 178 variety generally showed the greatest improvements in soil conditions, followed by the Single Cross 132 variety and then the Single Cross 131 variety. These findings highlight the potential of integrated soil amendments in mitigating salinity effects in maize cultivation, with varietal differences playing a significant role in treatment efficacy.
The soil bulk density measurements showed consistent improvements with compost and PGPR applications across all varieties. Under ECe 3.5 dS/m, bulk density decreased from the control values of 1.36–1.37 g/cm3 to 1.28–1.34 g/cm3 with the compost treatments, with the lowest values observed in compost-10 + PGPR applications. The effects were more pronounced under ECe 6.3 dS/m, where bulk density reductions ranged from 1.41–1.45 g/cm3 in the controls to 1.33–1.36 g/cm3 with the treatments. The Single Cross 132 variety exhibited the most significant bulk density improvements, particularly with the compost-10 + PGPR treatment achieving 1.27 g/cm3 at ECe 3.5 dS/m and 1.33 g/cm3 at ECe 6.3 dS/m in 2024, indicating better soil structure development compared to the Single Cross 131 and Single Cross 178 varieties.
Total porosity showed corresponding increases with the applied treatments, demonstrating an inverse relationship with bulk density changes. At ECe 3.5 dS/m, porosity increased from the control values of 45.52–48.17% to 49.45–52.07% with the compost-10 + PGPR treatment. Under ECe 6.3 dS/m conditions, similar improvements were observed, with porosity rising from 45.15–46.66% in the controls to 48.69–49.81% with the treatments. The Single Cross 132 variety, again, showed the most notable enhancements, reaching 52.07% porosity at ECe 3.5 dS/m with compost-10 + PGPR in 2024, suggesting superior soil aeration and root-zone conditions compared to the other varieties.
The results demonstrate that combined compost and PGPR applications were more effective than single treatments in improving soil physical properties under salinity stress. Compost-10 + PGPR consistently provided the best results across both of the measured parameters. While all of the varieties responded positively to the treatments, the Single Cross 132 variety showed the greatest improvements in soil physical conditions, followed by the Single Cross 178 variety and then the Single Cross 131 variety. These improvements in bulk density and porosity are particularly important for maize growth under salinity stress, as they enhance root development, water infiltration, and gas exchange in the rhizosphere. The findings highlight the potential of integrated organic amendments and microbial inoculants to mitigate salinity-induced soil compaction and improve overall soil health for maize production.

2.4. Changes in Soil Organic Matter (SOM), Available Nitrogen (Ava-N), Total Bacteria, and Total Fungi Under Different Treatments and Salinity Levels

The SOM content showed consistent improvements with compost applications across all varieties and salinity levels (Table 5). Under ECe 3.5 dS/m, SOM increased from the control values of 1.04–1.08% to 1.21–1.28% with the compost treatments, with the highest values observed in compost-10 + PGPR applications. Similar improvements were seen under ECe 6.3 dS/m, where SOM rose from 0.84–0.86% in the controls to 1.15–1.21% with the treatments. The Single Cross 132 variety exhibited the most significant SOM increases, particularly with the compost-10 + PGPR treatment, reaching 1.27% at ECe 3.5 dS/m and 1.21% at ECe 6.3 dS/m in 2024, indicating better organic matter retention compared to the other varieties.
The available nitrogen (Ava-N) levels demonstrated substantial enhancements with all of the treatments, particularly with the combined compost and PGPR applications. At ECe 3.5 dS/m, Ava-N increased from 19.3–20.7 ppm in the controls to 35.6–40.6 ppm with the compost-10 + PGPR treatment. Under ECe 6.3 dS/m conditions, similar improvements were observed, with Ava-N rising from 15.6–17.0 ppm in the controls to 32.7–37.3 ppm with the treatments. The Single Cross 131 variety showed the highest Ava-N levels under both salinity conditions, reaching 40.5 ppm at ECe 3.5 dS/m with compost-10 + PGPR in 2024, suggesting superior nitrogen mineralization and availability compared to the Single Cross 132 and Single Cross 178 varieties.
The total bacterial populations were significantly enhanced by the PGPR-containing treatments across all varieties. At ECe 3.5 dS/m, bacterial counts increased from 3.3–4.5 × 107 CFU/g in the controls to 5.4–7.3 × 107 CFU/g with the compost-5 + PGPR treatment. Under ECe 6.3 dS/m, similar increases were observed, with counts rising from 2.9–3.9 × 107 CFU/g in the controls to 4.8–5.5 × 107 CFU/g with the treatments. The Single Cross 131 variety consistently maintained the highest bacterial populations, particularly with the compost-5 + PGPR treatment achieving 7.3 × 107 CFU/g at ECe 3.5 dS/m in 2024, indicating a more favorable environment for microbial growth compared to the other varieties.
The total fungal populations followed similar enhancement patterns, with the greatest increases observed in the combined compost and PGPR treatments. At ECe 3.5 dS/m, the fungal counts rose from 1.3–1.7 × 105 CFU/g in the controls to 1.7–2.0 × 105 CFU/g with the treatments. Under ECe 6.3 dS/m, the counts increased from 1.1–1.4 × 105 CFU/g in the controls to 1.4–1.7 × 105 CFU/g with the treatments. The Single Cross 178 variety showed the highest fungal populations under both salinity levels, reaching 2.0 × 105 CFU/g at ECe 3.5 dS/m with compost-10 + PGPR in 2024, suggesting better fungal community development compared to the Single Cross 131 and Single Cross 132 varieties.
The results demonstrate that the combined compost and PGPR applications were more effective than the single treatments in improving soil biological properties under salinity stress. Compost-10 + PGPR generally provided the best results for SOM and Ava-N, while compost-5 + PGPR showed superior performance for microbial populations. While all varieties responded positively to the treatments, the Single Cross 131 variety showed the greatest improvements in nitrogen availability and bacterial populations, the Single Cross 132 variety in organic matter content, and the Single Cross 178 variety in fungal development. These findings highlight the importance of integrated soil management strategies to enhance soil biological activity and nutrient cycling for maize production under saline conditions.

2.5. Pearson Correlation

The results of the Pearson correlation highlighted the significant role of treatments, particularly compost-10 + PGPR, in enhancing maize growth and productivity by mitigating salinity stress, with notable variations among the varieties (Figure 1).
The grain yield showed strong positive correlations with the treatments (0.76 in 2023, 0.763 in 2024) and a negative correlation with salinity (−0.26 in 2023, −0.260 in 2024). Compost-10 + PGPR consistently increased yields, especially for Single cross 178, which outperformed others due to its stress tolerance. Single Cross 131 showed moderate yield improvements with compost-5 + PGPR, while Single Cross 132 had the lowest yields at ECe 6.3 dS/m, indicating high salinity sensitivity. The treatments improved nutrient availability and soil structure, reducing yield losses.
Straw yield followed a similar pattern, with the treatments strongly correlated (0.82 in 2023, 0.818 in 2024) and salinity negatively impacting results (−0.22 in 2023, −0.222 in 2024). Compost-10 + PGPR significantly boosted straw yield, particularly for Single Cross 178, which maintained high biomass. Single Cross 131 benefited moderately from compost-5 + PGPR, whereas Single Cross 132 showed a reduced biomass with higher salinity, reflecting lower adaptability. The treatments enhanced water retention and microbial activity.
N-grain and N-straw contents were positively influenced by the treatments (0.64 and 0.73 in 2023, 0.618 and 0.737 in 2024, respectively) and negatively affected by salinity (−0.30 and −0.36 in 2023, −0.352 and −0.345 in 2024). Single Cross 178 exhibited the highest nitrogen content with compost-10 + PGPR, reflecting efficient uptake and translocation. Single Cross 131 responded moderately to compost-5 + PGPR, while Single Cross 132 showed reduced nitrogen levels at EC 6.3 dS/m, indicating stress sensitivity. The treatments, especially PGPR-based, enhanced nitrogen availability.
Proline and peroxidase, which are stress indicators, were strongly correlated with salinity (0.94 and 0.69 in 2023, 0.946 and 0.678 in 2024) but were minimally affected by the treatments. Single Cross 132 showed elevated levels, signaling high stress, while Single Cross 178 had lower levels with compost-10 + PGPR, indicating better stress management. Single Cross 131 displayed intermediate responses. The treatments mitigated osmotic and oxidative stress.
Chlorophyll content, negatively affected by salinity (−0.76 in 2023, −0.726 in 2024), improved slightly with the treatments (0.11 in 2023, 0.122 in 2024). Single Cross 178 retained higher chlorophyll with compost-10 + PGPR, supporting photosynthesis, while Single Cross 132 showed the lowest levels at ECe 6.3 dS/m. Soil parameters, like available nitrogen, soil organic matter, and microbial populations, were enhanced by the treatments, particularly compost-10 + PGPR, which also reduced pH, EC, SAR, ESP, and bulk density, while increasing porosity. Single Cross 178 consistently thrived, Single Cross 131 showed moderate benefits, and Single Cross 132 was least resilient under high salinity.

3. Discussion

This study provides compelling evidence that integrated applications of compost and PGPR significantly enhance maize productivity and soil health under salinity stress, offering a sustainable strategy for agriculture in saline environments. The two-year field experiments conducted in 2023 and 2024 revealed substantial improvements in maize yield, nitrogen dynamics, physiological stress responses, and soil physicochemical and biological properties across three maize varieties under two salinity levels (ECe 3.5 and 6.3 dS/m). These findings align with and extend the existing literature, highlighting the synergistic effects of organic amendments and microbial inoculants. The discussion below systematically compares our results with previously published studies, focusing on the effects of similar treatments on plant and soil properties and elucidating the mechanisms by which compost and PGPR mitigate salinity stress in maize cultivation.
Maize grain and straw yields were markedly improved by compost and PGPR treatments, with the most pronounced effects observed in the compost-10 + PGPR treatment, particularly under high salinity (ECe 6.3 dS/m). Grain yields increased by up to 197%, and straw yields nearly tripled in Single Cross 178 compared to the control, demonstrating the efficacy of combined treatments. These results align closely with Hafez et al. [24], who reported a 75.2% increase in wheat grain yield with sugarcane bagasse and zinc oxide nanoparticles under salinity stress, attributed to improved nutrient retention and reduced oxidative stress. Similarly, Wang et al. [25] observed an 18.32% increase in maize grain yield with humic acid under saline-alkali conditions, linked to enhanced soil structure and nutrient availability. Our findings exceed the 76.1% seed yield increase reported by Alshaal et al. [8] with biochar and PGPR, suggesting that our compost formulations may provide superior organic matter and microbial synergy. The mechanisms likely involve enhanced nutrient uptake facilitated by PGPR, which produces indole-3-acetic acid (IAA) and solubilize phosphates, as noted by Viti et al. [26], who reported increased PGPR populations improving nutrient availability. Compost likely improved soil water retention and reduced sodium toxicity, enabling better root development and photosynthetic efficiency, as supported by El-Akhdar et al. [27], who observed a 50% increase in SOM with compost and PGPR. The superior performance of Single Cross 178 suggests genetic advantages in stress tolerance, possibly due to enhanced root architecture or ion selectivity, warranting further investigation.
The contents of N-grain and N-straw showed significant improvements with compost-10 + PGPR, reaching 1.36% and 2.24% at ECe 3.5 dS/m, respectively, and maintaining high levels under ECe 6.3 dS/m. Single Cross 178 exhibited the most notable increases, with N-straw rising by 157% under high salinity. These results are consistent with Shabaan et al. [28], who reported a 47% increase in maize-grain nitrogen content with PGPR inoculation under salinity stress, attributed to enhanced nitrogen mineralization and uptake via ACC deaminase activity. Similarly, Pereira et al. [29] found a 41% increase in nitrogen-use efficiency in maize under drought stress with PGPR co-inoculation, linked to nitrogen fixation and phytohormone production. Our results surpass the 33.9% increase in leaf nitrogen content reported by Abd El-Mageed et al. [30] in rice with Bacillus strains, likely due to the synergistic effect of compost providing organic nitrogen pools. The mechanisms likely include PGPR-mediated nitrogen fixation and solubilization, as described by Masters-Clark et al. [31], who noted enhanced nutrient uptake with phosphate-solubilizing Pseudomonas. Compost likely increased soil organic matter, creating a favorable environment for microbial nitrogen cycling, as supported by Elhawat et al. [32], who reported a 137% increase in total nitrogen with intercropping. The varietal differences, particularly Single Cross 178’s strong response, suggest genetic predispositions to efficient nitrogen assimilation under stress.
The proline content in maize leaves increased dramatically under ECe 6.3 dS/m, reaching 37.37 μmol/g FW with compost-10 + PGPR in Single Cross 178, indicating its role as an osmoprotectant. This aligns with Chattaraj et al. [33], who reported increased proline production in maize with PGPR under drought stress, contributing to osmotic adjustment. Our results are higher than the 48% reduction in proline reported by Alshaal et al. [8] with biochar and PGPR, suggesting that our treatments may enhance stress-induced proline accumulation rather than alleviate it entirely. Shabaan et al. [28] also noted an improved osmotic balance with PGPR, supporting our findings. The mechanisms likely involve PGPR-induced upregulation of proline biosynthesis pathways, as noted by Netrusov et al. [34], who linked exopolysaccharide production to osmotic stress mitigation. Compost likely improved water retention, reducing cellular dehydration and triggering proline accumulation, as supported by Wang et al. [25], who observed enhanced soil water content with organic amendments. Single Cross 178’s high proline levels suggest a robust stress response, possibly due to genetic advantages in osmoprotectant synthesis.
Peroxidase activity increased significantly under ECe 6.3 dS/m, reaching 180.95 μmol H2O2/min/g FW with compost-10 + PGPR in Single Cross 178, indicating a strong antioxidant defense. This is consistent with Alharbi et al. [10], who reported a 102% increase in peroxidase activity in wheat with PGPR and zinc oxide nanoparticles under salinity stress, linked to reduced oxidative damage. Our results exceed the 79% increase reported by Alshaal et al. [8], suggesting that our compost-PGPR combination may enhance enzymatic activity more effectively. Paul and Lade [35] also noted increased antioxidant enzyme activity with PGPR, supporting our findings. The mechanisms likely involve PGPR-induced expression of antioxidant genes, as described by Chattaraj et al. [33], who linked Bacillus strains to superoxide dismutase and catalase upregulation. Compost likely provided organic substrates that supported microbial activity, enhancing antioxidant production, as supported by El-Akhdar et al. [27], who reported increased microbial activity with compost. Single Cross 178’s superior response suggests genetic advantages in oxidative stress mitigation.
The total chlorophyll content was better preserved under salinity stress with compost-10 + PGPR, reaching 2.94 mg/g FW at ECe 3.5 dS/m and 1.55 mg/g FW at ECe 6.3 dS/m in Single Cross 178. This aligns with Abd El-Mageed et al. [30], who reported a 5.1% increase in chlorophyll fluorescence in rice with Bacillus strains, and Hafez et al. [36], who observed a 72% increase in canola chlorophyll with organic amendments. Our results are comparable to the 209.3% increase in soybean chlorophyll reported by Alharbi et al. [37] with biochar and PGPR, indicating robust photosynthetic protection. The mechanisms likely involve PGPR-mediated improvements in nutrient uptake (e.g., magnesium for chlorophyll synthesis), as noted by Zaib et al. [38], who reported enhanced nutrient assimilation with Pseudomonas. Compost likely reduced sodium toxicity, preserving chloroplast integrity, as supported by Omara et al. [39], who observed a 46.7% increase in chlorophyll a with compost and PGPR. Single Cross 178’s high chlorophyll retention suggests genetic resilience in photosynthetic apparatus under stress.
Soil pH was significantly reduced by compost-10 + PGPR, dropping from 8.45 to 7.70 under ECe 6.3 dS/m, with the Single Cross 178 variety showing the greatest reduction. This aligns with El-Akhdar et al. [27], who reported a 31.8% reduction in electrical conductivity with compost and PGPR, indirectly suggesting pH moderation. Hafez et al. (2025) [24] also noted reduced soil pH with sugarcane bagasse, supporting our findings. The mechanisms likely involve compost’s organic acids buffering soil alkalinity, as described by Wang et al. [25], who linked humic acid to pH regulation. PGPR may enhance organic acid production, further lowering pH, as supported by Viti et al. [26]. The Single Cross 178 variety’s strong response suggests varietal differences in rhizosphere interactions with amendments.
The ECe decreased significantly with compost-10 + PGPR, dropping from 7.67 to 2.30 dS/m under ECe 6.3 dS/m, with the Single Cross 132 variety showing consistent reductions. This is consistent with Alshaal et al. [8], who reported a 31.7% reduction in ECe with biochar and PGPR, and Omara et al. [39], who observed a 47% reduction in exchangeable sodium percentage. The mechanisms likely involve compost’s CEC, which binds sodium ions, and PGPR’s exopolysaccharide production, which reduces sodium availability, as noted by Netrusov et al. [34]. The Single Cross 132 variety 2’s response suggests favorable root exudates enhancing amendment efficacy.
The SAR and ESP were significantly reduced by compost-10 + PGPR, with the SAR dropping by 26.5% and ESP by 33.7% under ECe 6.3 dS/m. This aligns with El-Akhdar et al. [27], who reported a 17.8% SAR reduction, and Hafez et al. [36], who observed a 31% ESP decrease. The mechanisms likely involve compost’s ability to improve soil structure and PGPR’s role in sodium sequestration, as supported by Shabaan et al. [28]. The Single Cross 178 variety 3’s strong ESP reduction suggests enhanced rhizosphere dynamics.
The soil bulk density decreased and the total porosity increased with compost-10 + PGPR, reaching 1.27 g/cm3 and 52.07% at ECe 3.5 dS/m, respectively, with the Single Cross 132 variety showing the greatest improvements. This is consistent with Wang et al. [25], who reported a 60.52% increase in soil macro-aggregates, and Elhawat et al. [32], who noted an 11% increase in water retention. The mechanisms likely involve compost’s organic matter improving soil aggregation and PGPR’s root growth stimulation, as noted by Viti et al. [26]. The Single Cross 132 variety’s response suggests genetic advantages in root–soil interactions.
The SOM and Ava-N increased significantly with compost-10 + PGPR, reaching 1.28% and 40.63 ppm at ECe 3.5 dS/m, respectively, with the Single Cross 132 variety showing the highest SOM and the Single Cross 131 variety the highest Ava-N. This aligns with El-Akhdar et al. [27], who reported a 50% SOM increase, and Shabaan et al. [28], who noted a 47% increase in grain nitrogen. The mechanisms involve compost’s organic inputs and PGPR’s nitrogen fixation, as supported by Masters-Clark et al. [31]. Varietal differences suggest genotype-specific microbial interactions.
The total bacterial and fungal populations were enhanced by compost-5 + PGPR, reaching 7.3 × 107 and 2.0 × 105 CFU/g at ECe 3.5 dS/m, respectively, with the Single Cross 131 variety showing the highest bacterial counts and the Single Cross 178 variety showing the highest fungal counts. This is consistent with Viti et al. [26], who reported a 50% increase in fluorescent pseudomonads, and Alharbi et al. [9], who noted a 94.68% increase in microbial biomass. The mechanisms involve PGPR’s proliferation and compost’s nutrient provision, as noted by Xiang et al. [40]. Varietal differences suggest distinct rhizosphere microbiomes.
In conclusion, the integrated application of compost and PGPR significantly mitigates salinity stress in maize by enhancing yield, nitrogen uptake, physiological resilience, and soil health. The synergistic effects of organic matter and microbial activity provide a sustainable approach to saline agriculture, with varietal differences highlighting the importance of genotype selection. These findings advance the literature and offer practical solutions for farmers in saline regions.

4. Materials and Methods

4.1. Experimental Design and Setup

The field experiments were conducted at the Experimental Research Station Farm of the Agricultural Research Institute in Sakha, Kafr El-Sheikh Governorate, Egypt (31°06′57″ N, 30°56′30″ E) during the 2023 and 2024 growing seasons. Throughout the growing season, average daily temperatures vary from 25 to 33 °C (maximum) and 12 to 18 °C (minimum), with monthly precipitation of 0–20 mm, relative humidity between 46–77%, and sunshine hours ranging from 9 to 12 h per day. The study aimed to evaluate the effects of compost, PGPR, and their combination on three maize varieties under saline soil conditions in clay soil (Table 6).
Maize (Zea mays L.) seeds of three varieties (Single Cross 131, Single Cross 132, and Single Cross 178) were provided by the Field Crop Research Institute, Agricultural Research Center, Cereals Department, Sakha Agriculture Research Station, Kafr El-Sheikh, Egypt. The three maize varieties—Single Cross 131, 132, and 178—are high-yielding hybrids with plant heights of 2.5–3.0 m, green stalks post-harvest, and life cycles of 90–100 days. Single Cross 131 (11.3–13.6 t/ha) adapts well to irrigated conditions with 25–30 cm cobs. Single Cross 132 (11.3–14.0 t/ha) is drought-tolerant, produces two 20–25 cm cobs per plant, and suits soybean rotation. Single Cross 178 (12.7–14.5 t/ha) offers superior yield and lodging resistance. All varieties show strong pest and disease resistance, with grain yield purity of 78–80%. The experiment was designed as a split-block layout with four replications. The main plots consisted of two soil salinity levels (ECe 3.5 and 6.3 dS/m) and the three maize varieties, while the subplots included four treatments: compost, PGPR, compost + PGPR, and a control (no compost or PGPR applied).
Maize seeds were sown at a rate of 25 kg/ha on 15 June 2023 and 11 June 2024, after wheat cultivation. The area of the experimental plot was 15 m2 (5 m × 3 m), including 4 rows, 5 m long, with row spacing of 0.75 m. Three seeds were planted per hill, with 0.25 m spacing between the hills and 0.75 m between the rows. Post-germination, the seedlings were thinned to one per hill. Weeds were manually controlled three times each season. Harvesting occurred on September 24 for both 2023 and 2024. Four plants from the central rows of each plot were randomly sampled for growth and yield assessments. For maize cultivation, fertilization followed the recommendations of the Egyptian Ministry of Agriculture and Land Reclamation. Nitrogen was applied at a rate of 288 kg N/ha using ammonium nitrate (33.5% N), split into two equal doses administered before the first and second irrigations following seed sowing. Phosphorus was supplied at 360 kg P2O₅/ha as calcium superphosphate (15.5% P2O₅), which was broadcast and incorporated into the soil during tillage. Potassium was applied at 120 kg K2O/ha using potassium sulfate (48% K2O), also broadcast and incorporated during soil tillage. Irrigation was applied eight times per season using fresh water (EC = 0.66 dS/m) when 50% of available soil water was depleted.
No pesticides were used during the cultivation process, ensuring an organic approach to crop management. Weed control was performed manually through regular hand-weeding techniques, promoting a labor-intensive but environmentally friendly method to maintain crop health. Throughout the growing period, careful monitoring revealed no visible signs or symptoms of fungal infections, indicating robust plant resilience and favorable environmental conditions.
The PGPR, Azospirillum brasilense SWERI 111, was supplied by the Microbiology Department, Soils, Water and Environment Research Institute, Agricultural Research Center, Sakha Agriculture Research Station, Kafr El-Sheikh, Egypt. The bacteria were cultured in Nutrient Broth (NB) liquid medium with the following composition (g/L): beef extract 1.0, peptone 5.0, yeast extract 2.0, and sodium chloride 3.0, adjusted to a pH of 6.8 ± 0.2 at 28 °C. Pure isolates were cultivated in 500 mL flasks containing 250 mL NB, incubated on a rotary shaker at 28 °C for 8 h daily. After three days, peat-based inoculants were prepared following the method of the authors of [41]. Cell suspensions with a concentration of 1×107 CFU/mL were mixed with sterilized peat at a ratio of 50 mL NB per 100 g peat. The inoculated peat was thoroughly mixed and matured at room temperature for 48 h. Prior to sowing, maize seeds were coated with the PGPR peat inoculum at a rate of 950 g/ha, using a 10% Arabic gum water solution as an adhesive. Coated seeds were air-dried in the shade for 30 min.
The compost used as an organic fertilizer was provided by the Microbiology Department, Sakha Agricultural Research Station, Kafr El-Sheikh, Egypt. It comprised 70% plant materials and 30% animal waste, a ratio designed to optimize the carbon-to-nitrogen balance for effective decomposition. Compost was applied at rates of 5 and 10 t/ha during soil tillage to ensure uniform distribution. The physical and chemical properties of the compost are detailed in Table 7.

4.2. Plant and Soil Sampling Procedures

4.2.1. Plant-Related Measurements

Eighty days after planting, the total chlorophyll content (chlorophyll a and b) was determined using spectrophotometry following the method outlined by the authors of [42]. Measurements were taken on the youngest fully expanded leaves, with six replicates per plot.
Proline, an important osmolyte and osmoprotectant, was quantified in leaves collected 80 days after sowing, following the method of the authors of [43]. Briefly, 0.5 g of the uppermost fully expanded leaves were homogenized in 3% sulfuric acid and centrifuged at 12,000× g for 5 min. The supernatant was reacted with ninhydrin reagent, mixed with toluene, and the absorbance was recorded at 520 nm using a UV-160A spectrophotometer (Shimadzu, Kyoto, Japan).
Peroxidase (POX: EC 1.11.1.7; µmol H2O2/g FW/min) activity was assessed using o-phenylenediamine as a chromogenic substrate in the presence of H2O2 and enzyme extract, with absorbance measured at 417 nm, as described by the authors of [44].
At harvest, 10 g of grains per treatment were air-dried, ground, and analyzed for nitrogen content using the micro Kjeldahl method [45]. Nitrogen content (mg/kg) in grains and straw was determined in finely ground samples digested with a 3:1 (v/v) HNO3:HClO4 mixture. Grain and straw yields were measured after harvesting the experimental plots.

4.2.2. Soil-Related Measurements

At the experiment’s end, soil samples were collected from the 0–20 cm depth in triplicate from each plot. For chemical analysis, samples were air-dried, crushed, and passed through a 2 mm sieve. For biochemical analysis, additional triplicate samples were sieved through an 8 mm sieve after removing gravel, stones, and plant debris, and they were stored at −20 °C in polyethylene bags.
Soil pH was measured in a 1:2.5 soil-water suspension using a Jenway 3510 pH meter (Cole-Parmer, Westwood Ave, Long Branch, NJ, USA). Soil electrical conductivity (ECe) was determined in a soil paste extract using a Jenway 4310 EC meter (USA). The sodium adsorption ratio (SAR), a key indicator of soil sodicity affecting structure, permeability, and plant growth, was calculated based on sodium (Na+), calcium (Ca2+), and magnesium (Mg2+) ion concentrations (meq/L) in the soil paste extract, using the formula provided by the authors of [45].
S A R = [ N a + ] C a 2 + + [ M g 2 + ] 2 2
Soil organic matter (SOM) content was measured using the Walkley–Black chromic acid wet oxidation method with finely ground, air-dried soil samples (<0.25 mm) [45]. Available soil nitrogen (Ava-N) was extracted using 1 M potassium chloride and quantified via the Kjeldahl method [45]. The total bacterial count in soil was assessed at 80 days post-seed sowing as described in [41]. Fungal counts were determined using the plate method outlined in [41].

4.3. Statistical Analysis

Data were analyzed using analysis of variance (ANOVA). Data analysis was conducted utilizing Microsoft Excel 2010 (representing mean values with their respective standard deviations) and the SPSS 22.0 software package by SPSS Inc. based in Chicago, IL, USA. Post hoc analysis was then performed using Tukey’s test to distinguish between means, with statistical significance established at a significance level of p ≤ 0.05.

5. Conclusions

This study demonstrates that integrated compost and PGPR applications significantly enhance maize productivity and soil health under salinity stress, offering a sustainable solution for agriculture in saline environments. The compost-10 + PGPR treatment markedly improved grain and straw yields (up to 197% and 300%, respectively), nitrogen uptake, physiological stress responses, and soil properties, with Single Cross 178 showing superior tolerance. These findings highlight the synergistic effects of organic amendments and microbial inoculants in mitigating salinity-induced constraints through enhanced nutrient cycling, antioxidant defenses, and soil structure improvement. However, limitations include the study’s focus on only three maize varieties and two salinity levels, potentially limiting generalizability, and the lack of long-term data on treatment sustainability. Future research should explore a broader range of genotypes and salinity gradients, assess multi-year impacts, and investigate molecular mechanisms underlying varietal differences and PGPR-compost interactions. Additionally, scaling these interventions in diverse agroecological contexts and evaluating their economic feasibility could facilitate practical adoption, advancing global food security in saline-affected regions.

Author Contributions

I.E.-A., M.M.A.S., H.M.A., N.E. and T.A.: Formal analysis, Writing—original draft preparation and Writing—review & editing. N.E. and M.M.A.S.: Investigation and Data curation. N.E. and T.A.: Formal analysis and Writing—review & editing. T.A.: Investigation. N.E.: Methodology, Supervision and Project administration. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

Data are contained within the article.

Acknowledgments

This work was supported by TKP2021-NKTA-32. Project no. TKP2021-NKTA-32 has been implemented with the support provided from the National Research, Development and Innovation Fund of Hungary, financed under the TKP2021-NKTA funding scheme. The present work is also supported by the TKP2021-EGA-20 support provided by the National Research, Development and Innovation Fund of Hungary. This work is also supported by the University of Debrecen Program for Scientific Publication.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

PGPRPlant Growth-Promoting Rhizobacteria
SARSodium Adsorption Ratio
SOMSoil Organic Matter
ESPExchangeable Sodium Percentage
Ava-NAvailable nitrogen

References

  1. Rengasamy, P. Soil Processes Affecting Crop Production in Salt-Affected Soils. Funct. Plant Biol. 2010, 37, 613. [Google Scholar] [CrossRef]
  2. Munns, R.; Tester, M. Mechanisms of Salinity Tolerance. Annu. Rev. Plant Biol. 2008, 59, 651–681. [Google Scholar] [CrossRef]
  3. Farooq, M.; Hussain, M.; Wakeel, A.; Siddique, K.H.M. Salt Stress in Maize: Effects, Resistance Mechanisms, and Management. A Review. Agron. Sustain. Dev. 2015, 35, 461–481. [Google Scholar] [CrossRef]
  4. Gupta, B.; Huang, B. Mechanism of Salinity Tolerance in Plants: Physiological, Biochemical, and Molecular Characterization. Int. J. Genom. 2014, 2014, 701596. [Google Scholar] [CrossRef] [PubMed]
  5. Bhardwaj, D.; Ansari, M.W.; Sahoo, R.K.; Tuteja, N. Biofertilizers Function as Key Player in Sustainable Agriculture by Improving Soil Fertility, Plant Tolerance and Crop Productivity. Microb. Cell Factories 2014, 13, 66. [Google Scholar] [CrossRef]
  6. Chacon, N.; Flores, S.; Gonzalez, A. Implications of Iron Solubilization on Soil Phosphorus Release in Seasonally Flooded Forests of the Lower Orinoco River, Venezuela. Soil Biol. Biochem. 2006, 38, 1494–1499. [Google Scholar] [CrossRef]
  7. Lakhdar, A.; Rabhi, M.; Ghnaya, T.; Montemurro, F.; Jedidi, N.; Abdelly, C. Effectiveness of Compost Use in Salt-Affected Soil. J. Hazard. Mater. 2009, 171, 29–37. [Google Scholar] [CrossRef]
  8. Alshaal, T.; Alharbi, K.; Naif, E.; Rashwan, E.; Omara, A.E.-D.; Hafez, E.M. Strengthen Sunflowers Resilience to Cadmium in Saline-Alkali Soil by PGPR-Augmented Biochar. Ecotoxicol. Environ. Saf. 2024, 280, 116555. [Google Scholar] [CrossRef]
  9. Alharbi, K.; Rashwan, E.; Hafez, E.; Omara, A.E.-D.; Mohamed, H.H.; Alshaal, T. Potassium Humate and Plant Growth-Promoting Microbes Jointly Mitigate Water Deficit Stress in Soybean Cultivated in Salt-Affected Soil. Plants 2022, 11, 3016. [Google Scholar] [CrossRef]
  10. Alharbi, K.; Hafez, E.M.; Omara, A.E.-D.; Rashwan, E.; Alshaal, T. Zinc Oxide Nanoparticles and PGPR Strengthen Salinity Tolerance and Productivity of Wheat Irrigated with Saline Water in Sodic-Saline Soil. Plant Soil 2023, 493, 475–495. [Google Scholar] [CrossRef]
  11. Glick, B.R. Plant Growth-Promoting Bacteria: Mechanisms and Applications. Scientifica 2012, 2012, 963401. [Google Scholar] [CrossRef]
  12. Shah, A.; Nazari, M.; Antar, M.; Msimbira, L.A.; Naamala, J.; Lyu, D.; Rabileh, M.; Zajonc, J.; Smith, D.L. PGPR in Agriculture: A Sustainable Approach to Increasing Climate Change Resilience. Front. Sustain. Food Syst. 2021, 5, 667546. [Google Scholar] [CrossRef]
  13. Sethi, B.K.; Rout, J.R.; Das, R.; Nanda, P.K.; Sahoo, S.L. Lipase Production by Aspergillus Terreus Using Mustard Seed Oil Cake as a Carbon Source. Ann. Microbiol. 2013, 63, 241–252. [Google Scholar] [CrossRef]
  14. Upadhyay, S.K.; Rajput, V.D.; Kumari, A.; Espinosa-Saiz, D.; Menendez, E.; Minkina, T.; Dwivedi, P.; Mandzhieva, S. Plant Growth-Promoting Rhizobacteria: A Potential Bio-Asset for Restoration of Degraded Soil and Crop Productivity with Sustainable Emerging Techniques. Environ. Geochem. Health 2023, 45, 9321–9344. [Google Scholar] [CrossRef] [PubMed]
  15. Yang, J.; Kloepper, J.W.; Ryu, C.-M. Rhizosphere Bacteria Help Plants Tolerate Abiotic Stress. Trends Plant Sci. 2009, 14, 1–4. [Google Scholar] [CrossRef]
  16. Ghosh, A.; Acharya, R.; Shaw, S.; Gangopadhyay, D. Plant Growth-Promoting Rhizobacteria (PGPR): A Potential Alternative Tool for Sustainable Agriculture. In Updates on Rhizobacteria; Gull, M., Ed.; IntechOpen: London, UK, 2024; ISBN 978-1-83769-479-2. [Google Scholar]
  17. Nadeem, S.M.; Naveed, M.; Zahir, Z.A.; Asghar, H.N. Plant–Microbe Interactions for Sustainable Agriculture: Fundamentals and Recent Advances. In Plant Microbe Symbiosis: Fundamentals and Advances; Arora, N.K., Ed.; Springe: New Delhi, India, 2013; pp. 51–103. ISBN 978-81-322-1286-7. [Google Scholar]
  18. Egamberdieva, D.; Wirth, S.; Bellingrath-Kimura, S.D.; Mishra, J.; Arora, N.K. Salt-Tolerant Plant Growth Promoting Rhizobacteria for Enhancing Crop Productivity of Saline Soils. Front. Microbiol. 2019, 10, 2791. [Google Scholar] [CrossRef]
  19. Ashraf, M.; Foolad, M.R. Roles of Glycine Betaine and Proline in Improving Plant Abiotic Stress Resistance. Environ. Exp. Bot. 2007, 59, 206–216. [Google Scholar] [CrossRef]
  20. Sofy, M.R.; Elhawat, N.; Alshaal, T. Glycine Betaine Counters Salinity Stress by Maintaining High K+/Na+ Ratio and Antioxidant Defense via Limiting Na+ Uptake in Common Bean (Phaseolus vulgaris L.). Ecotoxicol. Environ. Saf. 2020, 200, 110732. [Google Scholar] [CrossRef] [PubMed]
  21. Hasegawa, P.M.; Bressan, R.A.; Zhu, J.-K.; Bohnert, H.J. Plant Cellular and Molecular Responses to High Salinity. Annu. Rev. Plant Physiol. Plant Mol. Biol. 2000, 51, 463–499. [Google Scholar] [CrossRef]
  22. Renzetti, M.; Funck, D.; Trovato, M. Proline and ROS: A Unified Mechanism in Plant Development and Stress Response? Plants 2024, 14, 2. [Google Scholar] [CrossRef]
  23. Zhang, W.; Wang, C.; Xue, R.; Wang, L. Effects of Salinity on the Soil Microbial Community and Soil Fertility. J. Integr. Agric. 2019, 18, 1360–1368. [Google Scholar] [CrossRef]
  24. Hafez, E.M.; Alharbi, K.; Gharib, H.S.; Omara, A.E.-D.; Elatafi, E.; Hamada, M.M.; Rashwan, E.; Alshaal, T. Synergistic Effect of Sugarcane Bagasse and Zinc Oxide Nanoparticles on Eco-Remediation of Cadmium-Contaminated Saline Soils in Wheat Cultivation. Plants 2025, 14, 85. [Google Scholar] [CrossRef]
  25. Wang, J.; Yang, X.; Huang, S.; Wu, L.; Cai, Z.; Xu, M. Long-Term Combined Application of Organic and Inorganic Fertilizers Increases Crop Yield Sustainability by Improving Soil Fertility in Maize-Wheat Cropping Systems. J. Integr. Agric. 2025, 24, 290–305. [Google Scholar] [CrossRef]
  26. Viti, C.; Tatti, E.; Decorosi, F.; Lista, E.; Rea, E.; Tullio, M.; Sparvoli, E.; Giovannetti, L. Compost Effect on Plant Growth-Promoting Rhizobacteria and Mycorrhizal Fungi Population in Maize Cultivations. Compost Sci. Util. 2010, 18, 273–281. [Google Scholar] [CrossRef]
  27. El-Akhdar, I.; Shabana, M.M.A.; El-Khateeb, N.M.M.; Elhawat, N.; Alshaal, T. Sustainable Wheat Cultivation in Sandy Soils: Impact of Organic and Biofertilizer Use on Soil Health and Crop Yield. Plants 2024, 13, 3156. [Google Scholar] [CrossRef]
  28. Shabaan, M.; Asghar, H.N.; Zahir, Z.A.; Zhang, X.; Sardar, M.F.; Li, H. Salt-Tolerant PGPR Confer Salt Tolerance to Maize Through Enhanced Soil Biological Health, Enzymatic Activities, Nutrient Uptake and Antioxidant Defense. Front. Microbiol. 2022, 13, 901865. [Google Scholar] [CrossRef] [PubMed]
  29. Pereira, S.I.A.; Abreu, D.; Moreira, H.; Vega, A.; Castro, P.M.L. Plant Growth-Promoting Rhizobacteria (PGPR) Improve the Growth and Nutrient Use Efficiency in Maize (Zea mays L.) under Water Deficit Conditions. Heliyon 2020, 6, e05106. [Google Scholar] [CrossRef]
  30. Abd El-Mageed, T.A.; Abd El-Mageed, S.A.; El-Saadony, M.T.; Abdelaziz, S.; Abdou, N.M. Plant Growth-Promoting Rhizobacteria Improve Growth, Morph-Physiological Responses, Water Productivity, and Yield of Rice Plants Under Full and Deficit Drip Irrigation. Rice 2022, 15, 16. [Google Scholar] [CrossRef]
  31. Masters-Clark, E.; Shone, E.; Paradelo, M.; Hirsch, P.R.; Clark, I.M.; Otten, W.; Brennan, F.; Mauchline, T.H. Development of a Defined Compost System for the Study of Plant-Microbe Interactions. Sci. Rep. 2020, 10, 7521. [Google Scholar] [CrossRef]
  32. Elhawat, N.; Kovács, A.B.; Antal, G.; Kurucz, E.; Domokos-Szabolcsy, É.; Fári, M.G.; Alshaal, T. Living Mulch Enhances Soil Enzyme Activities, Nitrogen Pools and Water Retention in Giant Reed (Arundo donax L.) Plantations. Sci. Rep. 2024, 14, 1704. [Google Scholar] [CrossRef]
  33. Chattaraj, S.; Samantaray, A.; Ganguly, A.; Thatoi, H. Employing Plant Growth-Promoting Rhizobacteria for Abiotic Stress Mitigation in Plants: With a Focus on Drought Stress. Discov. Appl. Sci. 2025, 7, 68. [Google Scholar] [CrossRef]
  34. Netrusov, A.I.; Liyaskina, E.V.; Kurgaeva, I.V.; Liyaskina, A.U.; Yang, G.; Revin, V.V. Exopolysaccharides Producing Bacteria: A Review. Microorganisms 2023, 11, 1541. [Google Scholar] [CrossRef]
  35. Paul, D.; Lade, H. Plant-Growth-Promoting Rhizobacteria to Improve Crop Growth in Saline Soils: A Review. Agron. Sustain. Dev. 2014, 34, 737–752. [Google Scholar] [CrossRef]
  36. Hafez, E.M.; Gao, Y.; Alharbi, K.; Chen, W.; Elhawat, N.; Alshaal, T.; Osman, H.S. Antioxidative and Metabolic Responses in Canola: Strategies with Wood Distillate and Sugarcane Bagasse Ash for Improved Growth under Abiotic Stress. Plants 2024, 13, 2152. [Google Scholar] [CrossRef]
  37. Alharbi, K.; Hafez, E.M.; Elhawat, N.; Omara, A.E.-D.; Rashwan, E.; Mohamed, H.H.; Alshaal, T.; Gadow, S.I. Revitalizing Soybean Plants in Saline, Cd-Polluted Soil Using Si-NPs, Biochar, and PGPR. Plants 2024, 13, 3550. [Google Scholar] [CrossRef]
  38. Zaib, S.; Zubair, A.; Abbas, S.; Hussain, J.; Ahmad, I.; Shakeel, S.N. Plant Growth-Promoting Rhizobacteria (PGPR) Reduce Adverse Effects of Salinity and Drought Stresses by Regulating Nutritional Profile of Barley. Appl. Environ. Soil Sci. 2023, 2023, 7261784. [Google Scholar] [CrossRef]
  39. Omara, A.E.-D.; Hafez, E.M.; Osman, H.S.; Rashwan, E.; El-Said, M.A.A.; Alharbi, K.; Abd El-Moneim, D.; Gowayed, S.M. Collaborative Impact of Compost and Beneficial Rhizobacteria on Soil Properties, Physiological Attributes, and Productivity of Wheat Subjected to Deficit Irrigation in Salt Affected Soil. Plants 2022, 11, 877. [Google Scholar] [CrossRef] [PubMed]
  40. Xiang, L.; Harindintwali, J.D.; Wang, F.; Redmile-Gordon, M.; Chang, S.X.; Fu, Y.; He, C.; Muhoza, B.; Brahushi, F.; Bolan, N.; et al. Integrating Biochar, Bacteria, and Plants for Sustainable Remediation of Soils Contaminated with Organic Pollutants. Environ. Sci. Technol. 2022, 56, 16546–16566. [Google Scholar] [CrossRef]
  41. Difco (Ed.) Difco Manual: Dehydrated Culture Media and Reagents for Microbiology, 10th ed.; Difco Laboratories: Detroit, MI, USA, 1984; ISBN 978-0-9613169-9-0. [Google Scholar]
  42. Lichtenthaler, H.K. Chlorophylls and Carotenoids: Pigments of Photosynthetic Biomembranes. In Methods in Enzymology; Elsevier: Amsterdam, The Netherlands, 1987; Volume 148, pp. 350–382. ISBN 978-0-12-182048-0. [Google Scholar]
  43. Alia; Saradhi, P.P.; Mohanty, P. Proline in Relation to Free Radical Production in Seedlings of Brassica Juncea Raised under Sodium Chloride Stress. Plant Soil 1993, 155–156, 497–500. [Google Scholar] [CrossRef]
  44. Nakano, Y.; Asada, K. Hydrogen Peroxide Is Scavenged by Ascorbate-Specific Peroxidase in Spinach Chloroplasts. Plant Cell Physiol. 1981, 22, 867–880. [Google Scholar] [CrossRef]
  45. Sparks, D.L.; Soil Science Society of America; American Society of Agronomy (Eds.) Methods of Soil Analysis. Part 3: Chemical Methods; Soil Science Society of America Book Series; American Society of Agronomy: Madison, WI, USA, 1996; ISBN 978-0-89118-825-4. [Google Scholar]
Figure 1. Pearson correlation matrices for maize growth and soil traits in 2023 and 2024, illustrating relationships among variety, salinity, treatments, and key parameters (grain yield, straw yield, N-grain, N-straw, proline, peroxidase, chlorophyll, available nitrogen, soil organic matter, microbial populations, pH, EC, SAR, ESP, bulk density, and total porosity) under salinity stress (ECe 3.5 dS/m and 6.3 dS/m).
Figure 1. Pearson correlation matrices for maize growth and soil traits in 2023 and 2024, illustrating relationships among variety, salinity, treatments, and key parameters (grain yield, straw yield, N-grain, N-straw, proline, peroxidase, chlorophyll, available nitrogen, soil organic matter, microbial populations, pH, EC, SAR, ESP, bulk density, and total porosity) under salinity stress (ECe 3.5 dS/m and 6.3 dS/m).
Plants 14 01539 g001
Table 1. Effects of compost and PGPR treatments on grain yield, straw yield, and nitrogen content in three maize varieties grown under two salinity levels (ECe 3.5 and 6.3 dS/m) during 2023 and 2024.
Table 1. Effects of compost and PGPR treatments on grain yield, straw yield, and nitrogen content in three maize varieties grown under two salinity levels (ECe 3.5 and 6.3 dS/m) during 2023 and 2024.
Grain Yield (t/ha)Straw Yield (t/ha)N-Grain (%)N-Straw (%)
20232024202320242023202420232024
Variety1316.29 ± 0.007 b6.29 ± 0.007 b14.60 ± 0.016 a14.60 ± 0.015 a1.11 ± 0.001 a1.15 ± 0.001 a1.66 ± 0.002 a1.62 ± 0.002 a
1326.86 ± 0.007 b6.86 ± 0.007 b14.75 ± 0.015 a14.75 ± 0.015 a1.12 ± 0.001 a1.15 ± 0.001 a1.68 ± 0.002 a1.64 ± 0.002 a
1787.58 ± 0.005 a7.58 ± 0.005 a13.94 ± 0.013 b13.94 ± 0.013 b1.12 ± 0.001 a1.16 ± 0.001 a1.67 ± 0.001 a1.61 ± 0.001 a
SalinityEC 3.57.58 ± 0.0077.59 ± 0.00715.54 ± 0.01615.59 ± 0.0161.16 ± 0.0011.21 ± 0.0011.83 ± 0.0021.77 ± 0.002
EC 6.36.85 ± 0.0066.84 ± 0.00613.98 ± 0.01313.97 ± 0.0131.10 ± 0.0011.14 ± 0.0011.62 ± 0.0011.57 ± 0.001
TreatmentsControl3.57 ± 0.017 e3.52 ± 0.016 e9.11 ± 0.043 e8.99 ± 0.042 e0.93 ± 0.004 c0.88 ± 0.004 d1.00 ± 0.005 d0.99 ± 0.005 d
Compost-55.86 ± 0.003 d5.86 ± 0.003 d11.30 ± 0.006 d11.30 ± 0.006 d1.11 ± 0.001 b1.21 ± 0.001 b1.69 ± 0.001 b1.63 ± 0.001 b
Compost-107.33 ± 0.010 c7.33 ± 0.010 c13.84 ± 0.020 c13.84 ± 0.020 c1.19 ± 0.002 b1.24 ± 0.002 b1.75 ± 0.003 b1.73 ± 0.002 b
PGPR5.47 ± 0.001 d5.47 ± 0.001 d10.45 ± 0.002 d10.44 ± 0.002 d0.97 ± 0.000 c1.01 ± 0.000 c1.34 ± 0.000 c1.30 ± 0.000 c
Compost-5 + PGPR9.08 ± 0.003 b9.11 ± 0.003 b20.31 ± 0.007 b20.38 ± 0.007 b1.24 ± 0.000 a1.28 ± 0.000 a2.08 ± 0.001 a1.97 ± 0.001 a
Compost-10 + PGPR10.16 ± 0.004 a10.19 ± 0.004 a21.58 ± 0.010 a21.64 ± 0.010 a1.26 ± 0.001 a1.31 ± 0.001 a2.15 ± 0.001 a2.12 ± 0.001 a
Interaction
Maize varietySalinity (dS/m)Treatments
Single Cross 131ECe 3.5Control4.77 ± 0.022 x4.76 ± 0.022 x10.49 ± 0.002 v10.47 ± 0.049 w0.97 ± 0.005 r0.91 ± 0.004 w1.17 ± 0.005 x1.11 ± 0.005 z
Compost-56.42 ± 0.003 q6.42 ± 0.003 q12.11 ± 0.006 s12.11 ± 0.006 s1.11 ± 0.001 o1.29 ± 0.001 g1.95 ± 0.001 l1.86 ± 0.001 l
Compost-108.70 ± 0.015 j8.70 ± 0.015 j14.68 ± 0.009 l14.68 ± 0.025 l1.23 ± 0.002 e1.31 ± 0.002 e1.97 ± 0.003 k1.91 ± 0.003 i
PGPR4.99 ± 0.001 w4.99 ± 0.001 w12.18 ± 0.064 r12.18 ± 0.003 r1.02 ± 0.000 p1.05 ± 0.000 r1.44 ± 0.000 s1.48 ± 0.000 p
Compost-5 + PGPR8.86 ± 0.003 i8.92 ± 0.003 h21.48 ± 0.006 f21.62 ± 0.007 f1.26 ± 0.000 d1.33 ± 0.000 c2.17 ± 0.001 d2.01 ± 0.001 e
Compost-10 + PGPR10.67 ± 0.005 d10.72 ± 0.005 d21.72 ± 0.021 e21.83 ± 0.010 e1.36 ± 0.001 a1.34 ± 0.001 b2.23 ± 0.001 b2.24 ± 0.001 a
ECe 6.3Control2.93 ± 0.014 cc2.85 ± 0.013 cc8.46 ± 0.002 aa8.22 ± 0.038 bb0.88 ± 0.004 v0.85 ± 0.004 y0.79 ± 0.004 aa0.83 ± 0.004 bb
Compost-53.78 ± 0.002 z3.78 ± 0.002 z10.63 ± 0.008 u10.62 ± 0.005 u1.12 ± 0.001 n1.13 ± 0.001 o1.45 ± 0.001 r1.41 ± 0.001 t
Compost-105.46 ± 0.009 u5.46 ± 0.009 u14.05 ± 0.012 n14.05 ± 0.024 n1.15 ± 0.002 l1.17 ± 0.002 m1.53 ± 0.003 o1.51 ± 0.003 o
PGPR3.06 ± 0.001 bb3.06 ± 0.001 bb10.15 ± 0.035 w10.13 ± 0.002 x0.92 ± 0.000 s0.95 ± 0.000 s1.20 ± 0.000 v1.18 ± 0.000 v
Compost-5 + PGPR6.92 ± 0.002 n6.92 ± 0.002 n19.77 ± 0.006 g19.77 ± 0.006 g1.22 ± 0.000 gh1.25 ± 0.000 j1.99 ± 0.001 j1.89 ± 0.001 j
Compost-10 + PGPR8.86 ± 0.004 i8.86 ± 0.004 i19.52 ± 0.024 h19.52 ± 0.009 h1.15 ± 0.001 kl1.26 ± 0.001 i2.03 ± 0.001 h1.99 ± 0.001 f
Single Cross 132ECe 3.5Control4.48 ± 0.021 y4.47 ± 0.021 y9.79 ± 0.002 x9.77 ± 0.046 y0.99 ± 0.005 q0.92 ± 0.004 u1.19 ± 0.006 w1.15 ± 0.005 x
Compost-55.98 ± 0.003 s5.98 ± 0.003 s12.11 ± 0.006 s12.11 ± 0.006 s1.11 ± 0.001 o1.30 ± 0.001 f1.92 ± 0.001 m1.81 ± 0.001 n
Compost-109.46 ± 0.016 g9.46 ± 0.016 f12.60 ± 0.009 q12.60 ± 0.021 q1.23 ± 0.002 f1.31 ± 0.002 e2.00 ± 0.003 i2.02 ± 0.003 d
PGPR5.12 ± 0.001 v5.12 ± 0.001 v10.84 ± 0.047 t10.84 ± 0.002 t1.03 ± 0.000 p1.09 ± 0.000 q1.49 ± 0.000 p1.37 ± 0.000 u
Compost-5 + PGPR10.43 ± 0.003 f10.50 ± 0.003 e23.98 ± 0.005 c24.15 ± 0.008 c1.27 ± 0.000 c1.32 ± 0.000 d2.18 ± 0.001 c2.08 ± 0.001 c
Compost-10 + PGPR11.14 ± 0.005 c11.20 ± 0.005 c25.12 ± 0.024 b25.23 ± 0.012 b1.34 ± 0.001 b1.35 ± 0.001 a2.23 ± 0.001 b2.22 ± 0.001 b
ECe 6.3Control3.57 ± 0.017 aa3.47 ± 0.016 aa7.46 ± 0.002 cc7.25 ± 0.034 dd0.87 ± 0.004 v0.85 ± 0.004 x0.83 ± 0.004 y0.84 ± 0.004 aa
Compost-55.69 ± 0.003 t5.68 ± 0.003 t12.89 ± 0.007 p12.89 ± 0.006 p1.11 ± 0.001 o1.12 ± 0.001 op1.45 ± 0.001 r1.44 ± 0.001 r
Compost-106.49 ± 0.011 p6.49 ± 0.011 p14.36 ± 0.012 m14.37 ± 0.024 m1.15 ± 0.002 l1.16 ± 0.002 n1.53 ± 0.003 o1.51 ± 0.003 o
PGPR4.78 ± 0.001 x4.77 ± 0.001 x9.53 ± 0.039 y9.51 ± 0.002 z0.91 ± 0.000 t0.92 ± 0.000 uv1.22 ± 0.000 u1.17 ± 0.000 w
Compost-5 + PGPR6.95 ± 0.002 m6.95 ± 0.002 m18.57 ± 0.005 i18.57 ± 0.006 i1.23 ± 0.000 f1.24 ± 0.000 k2.00 ± 0.001 i2.01 ± 0.001 e
Compost-10 + PGPR8.25 ± 0.004 l8.26 ± 0.004 i19.76 ± 0.000 g19.76 ± 0.009 g1.19 ± 0.001 i1.26 ± 0.001 i2.07 ± 0.001 g2.08 ± 0.001 c
Single Cross 178ECe 3.5Control2.12 ± 0.010 dd2.12 ± 0.010 dd10.11 ± 0.000 w10.09 ± 0.047 x1.00 ± 0.005 q0.91 ± 0.004 vw1.19 ± 0.006 vw1.14 ± 0.005 y
Compost-56.44 ± 0.003 q6.44 ± 0.003 q10.55 ± 0.005 v10.55 ± 0.005 v1.11 ± 0.001 o1.29 ± 0.001 g1.95 ± 0.001 l1.82 ± 0.001 m
Compost-106.92 ± 0.012 n6.92 ± 0.012 n14.05 ± 0.005 n14.05 ± 0.024 n1.22 ± 0.002 fg1.32 ± 0.002 d1.96 ± 0.003 k1.90 ± 0.003 j
PGPR6.33 ± 0.001 r6.33 ± 0.001 r10.86 ± 0.049 t10.85 ± 0.002 t1.03 ± 0.000 p1.12 ± 0.000 b1.48 ± 0.000 q1.46 ± 0.000 q
Compost-5 + PGPR12.01 ± 0.004 a12.09 ± 0.004 a21.81 ± 0.006 d21.95 ± 0.007 d1.26 ± 0.000 c1.33 ± 0.000 c2.16 ± 0.001 e1.98 ± 0.001 g
Compost-10 + PGPR11.52 ± 0.005 b11.58 ± 0.005 b25.34 ± 0.025 a25.46 ± 0.012 a1.35 ± 0.001 a1.35 ± 0.001 a2.24 ± 0.001 a2.21 ± 0.001 b
ECe 6.3Control3.54 ± 0.017 aa3.44 ± 0.016 aa8.38 ± 0.003 bb8.14 ± 0.038 cc0.89 ± 0.004 u0.83 ± 0.004 z0.81 ± 0.004 z0.83 ± 0.004 bb
Compost-56.83 ± 0.003 o6.83 ± 0.003 o9.53 ± 0.007 y9.53 ± 0.005 z1.13 ± 0.001 m1.12 ± 0.001 p1.43 ± 0.001 t1.42 ± 0.001 s
Compost-106.93 ± 0.000 mn6.93 ± 0.000 mn13.29 ± 0.010 o13.29 ± 0.000 o1.16 ± 0.000 k1.16 ± 0.000 n1.54 ± 0.000 n1.50 ± 0.000 o
PGPR8.56 ± 0.000 k8.54 ± 0.000 k9.14 ± 0.040 z9.12 ± 0.000 aa0.91 ± 0.000 t0.94 ± 0.000 t1.22 ± 0.000 u1.15 ± 0.000 x
Compost-5 + PGPR9.28 ± 0.003 h9.28 ± 0.003 g16.25 ± 0.005 k16.25 ± 0.005 k1.22 ± 0.000 h1.23 ± 0.000 l2.00 ± 0.001 i1.87 ± 0.001 k
Compost-10 + PGPR10.49 ± 0.003 e10.49 ± 0.003 e18.03 ± 0.024 j18.04 ± 0.005 j1.18 ± 0.000 j1.27 ± 0.000 h2.09 ± 0.001 f1.97 ± 0.001 h
Means followed by different letters are significant according to Tukey’s test at level of p ≤ 0.05. Note, double letter is different from single letter.
Table 2. Effects of compost and PGPR treatments on proline content, peroxidase activity, and chlorophyll levels in maize under salinity stress (2023–2024).
Table 2. Effects of compost and PGPR treatments on proline content, peroxidase activity, and chlorophyll levels in maize under salinity stress (2023–2024).
Proline Concentration
(µmol/g FW)
Peroxidase Activity
(µmol H2O2/min/g FW)
Total Chlorophyll
(mg/g FW)
202320242023202420232024
Variety13119.62 ± 0.46 a19.42 ± 0.45 a103.82 ± 1.53 a101.83 ± 1.49 a1.84 ± 0.06 a2.07 ± 0.11 a
13215.28 ± 0.29 b15.21 ± 0.44 b45.05 ± 0.41 b44.29 ± 0.67 b1.50 ± 0.05 a1.62 ± 0.04 a
17811.70 ± 0.29 c11.71 ± 0.32 c30.30 ± 0.30 b28.63 ± 2.30 c1.11 ± 0.05 b1.19 ± 0.07 b
SalinityEC 3.53.06 ± 0.193.09 ± 0.2223.50 ± 0.2823.02 ± 0.371.85 ± 0.062.04 ± 0.09
EC 6.319.73 ± 0.4119.63 ± 0.4778.43 ± 1.0476.26 ± 2.421.34 ± 0.041.44 ± 0.06
TreatmentsControl14.29 ± 0.40 c14.13 ± 0.55 c55.67 ± 0.80 d54.80 ± 0.77 d1.38 ± 0.04 c1.47 ± 0.09 c
Compost-515.21 ± 0.35 b15.00 ± 0.35 b57.93 ± 0.37 c57.02 ± 0.55 c1.46 ± 0.07 b1.58 ± 0.07 b
Compost-1015.69 ± 0.22 a15.49 ± 0.21 b59.30 ± 0.45 b58.38 ± 0.45 b1.49 ± 0.07 b1.70 ± 0.12 a
PGPR15.78 ± 0.35 a15.77 ± 0.30 a61.61 ± 1.72 a60.61 ± 1.45 a1.49 ± 0.05 b1.62 ± 0.05 b
Compost-5 + PGPR15.99 ± 0.36 a16.00 ± 0.54 a61.09 ± 0.59 b57.46 ± 4.80 b1.54 ± 0.03 a1.69 ± 0.06 a
Compost-10 + PGPR16.22 ± 0.41 a16.28 ± 0.46 a62.72 ± 0.54 a61.24 ± 0.91 a1.54 ± 0.04 a1.71 ± 0.05 a
Interaction
Maize varietySalinity (dS/m)Treatments
Single Cross 131ECe 3.5Control3.57 ± 0.24 hijk3.54 ± 0.28 ijk35.05 ± 0.20 i34.24 ± 1.50 ef2.25 ± 0.06 a2.47 ± 0.06 bc
Compost-53.84 ± 0.39 hij3.96 ± 0.14 ij37.73 ± 1.41 i37.20 ± 0.19 ef2.34 ± 0.09 a2.59 ± 0.07 ab
Compost-103.56 ± 0.11 hijk3.58 ± 0.17 ijk38.28 ± 1.51 i37.32 ± 0.12 ef2.28 ± 0.15 a2.94 ± 0.52 a
PGPR3.55 ± 0.28 hijk3.58 ± 0.34 ijk38.82 ± 0.28 i38.06 ± 0.17 ef2.26 ± 0.12 a2.48 ± 0.12 bc
Compost-5 + PGPR4.23 ± 0.70 h4.18 ± 0.62 i39.42 ± 0.07 i38.25 ± 0.12 ef2.39 ± 0.05 a2.69 ± 0.17 ab
Compost-10 + PGPR3.91 ± 0.45 hi3.92 ± 0.44 ij39.18 ± 0.03 i38.22 ± 0.94 ef2.41 ± 0.12 a2.70 ± 0.17 ab
ECe 6.3Control31.88 ± 0.50 c31.34 ± 0.94 c156.34 ± 0.21 d153.97 ± 0.57 c1.23 ± 0.01 cdef1.40 ± 0.05 hijk
Compost-534.57 ± 1.16 b33.76 ± 1.07 b163.39 ± 0.08 c160.87 ± 1.37 bc1.35 ± 0.02 cdef1.47 ± 0.05 hij
Compost-1036.10 ± 0.28 a35.54 ± 0.29 a166.62 ± 0.24 bc163.83 ± 1.62 abc1.39 ± 0.03 cd1.50 ± 0.06 ghij
PGPR36.33 ± 0.44 a36.12 ± 0.24 a178.84 ± 1.45 a175.13 ± 7.06 a1.37 ± 0.06 cde1.47 ± 0.04 hij
Compost-5 + PGPR36.55 ± 0.38 a36.44 ± 0.61 a171.17 ± 0.33 b168.30 ± 1.73 ab1.41 ± 0.02 c1.54 ± 0.02 efghi
Compost-10 + PGPR37.37 ± 0.63 a37.13 ± 0.26 a180.95 ± 0.06 a176.57 ± 2.47 a1.42 ± 0.02 c1.55 ± 0.02 efghi
Single Cross 132ECe 3.5Control2.62 ± 0.17 ijk2.59 ± 0.45 ijk17.50 ± 0.56 jklm17.40 ± 0.17 h1.74 ± 0.06 b1.91 ± 0.03 defg
Compost-52.72 ± 0.13 ijk2.74 ± 0.19 ijk18.25 ± 1.13 jklm18.02 ± 0.29 h1.86 ± 0.11 b2.00 ± 0.10 d
Compost-102.80 ± 0.10 ijk2.88 ± 0.10 ijk18.95 ± 0.45 jkl18.66 ± 0.47 h1.84 ± 0.06 b1.92 ± 0.06 def
PGPR2.82 ± 0.04 hijk2.79 ± 0.04 ijk19.08 ± 0.11 jk18.63 ± 0.71 h1.83 ± 0.02 b1.94 ± 0.03 de
Compost-5 + PGPR3.18 ± 0.26 hijk3.18 ± 0.27 ijk19.28 ± 0.01 jk18.88 ± 0.50 gh1.86 ± 0.04 b1.95 ± 0.03 de
Compost-10 + PGPR3.13 ± 0.16 hijk3.54 ± 0.49 ijk19.55 ± 0.05 j19.17 ± 0.26 gh1.92 ± 0.03 b2.11 ± 0.00 cd
ECe 6.3Control26.40 ± 0.84 e26.38 ± 0.93 e67.80 ± 0.17 g66.87 ± 1.50 d0.98 ± 0.01 gh1.10 ± 0.01 jklmn
Compost-527.24 ± 0.24 de26.83 ± 0.53 de68.97 ± 0.34 fg67.96 ± 0.43 d1.08 ± 0.06 fg1.12 ± 0.11 jklmn
Compost-1027.72 ± 0.28 de27.51 ± 0.19 de71.40 ± 0.19 efg70.32 ± 0.02 d1.21 ± 0.09 def1.38 ± 0.04 hijkl
PGPR28.07 ± 0.63 d27.83 ± 0.57 de71.84 ± 0.58 efg71.53 ± 0.49 d1.18 ± 0.04 ef1.31 ± 0.03 hijklm
Compost-5 + PGPR28.25 ± 0.15 d27.95 ± 0.89 de74.32 ± 0.46 e72.23 ± 0.67 d1.27 ± 0.03 cdef1.38 ± 0.06 hijkl
Compost-10 + PGPR28.37 ± 0.48 d28.27 ± 0.62 d73.63 ± 0.42 ef71.80 ± 0.57 d1.24 ± 0.02 cdef1.33 ± 0.02 hijklm
Single Cross 178ECe 3.5Control2.25 ± 0.12 k2.26 ± 0.12 k12.32 ± 0.61 n12.18 ± 0.06 h1.36 ± 0.06 cde1.42 ± 0.02 hij
Compost-52.45 ± 0.10 jk2.40 ± 0.16 jk13.21 ± 0.50 mn12.75 ± 0.45 h1.37 ± 0.05 cde1.43 ± 0.03 hij
Compost-102.55 ± 0.05 ijk2.49 ± 0.04 jk13.50 ± 0.17 mn13.59 ± 0.13 h1.41 ± 0.07 cd1.52 ± 0.02 fghi
PGPR2.61 ± 0.03 ijk2.62 ± 0.03 ijk13.92 ± 1.54 lmn13.33 ± 0.19 h1.40 ± 0.03 cd1.52 ± 0.04 fghi
Compost-5 + PGPR2.61 ± 0.08 ijk2.65 ± 0.05 ijk14.32 ± 0.35 klmn14.06 ± 0.29 h1.43 ± 0.02 c1.56 ± 0.03 efgh
Compost-10 + PGPR2.73 ± 0.04 ijk2.70 ± 0.02 ijk14.60 ± 0.06 jklmn14.43 ± 0.09 h1.42 ± 0.03 c1.58 ± 0.08 efgh
ECe 6.3Control19.05 ± 0.54 j18.66 ± 0.58 h45.03 ± 0.55 h44.10 ± 0.79 ef0.71 ± 0.06 i0.51 ± 0.07 eo
Compost-520.40 ± 0.06 fg20.33 ± 0.01 g46.03 ± 0.11 h45.32 ± 0.55 ef0.77 ± 0.10 i0.86 ± 0.08 no
Compost-1021.44 ± 0.47 f20.92 ± 0.51 fg47.07 ± 0.67 h46.55 ± 0.33 ef0.84 ± 0.03 hi0.93 ± 0.01 mno
PGPR21.32 ± 0.68 f21.69 ± 0.61 fg47.18 ± 0.87 h46.99 ± 0.11 ef0.88 ± 0.06 ghi0.97 ± 0.05 lmn
Compost-5 + PGPR21.15 ± 0.62 f21.62 ± 0.79 fg48.03 ± 0.99 h33.01 ± 0.50 fg0.88 ± 0.03 ghi1.00 ± 0.06 klmn
Compost-10 + PGPR21.81 ± 0.70 f22.14 ± 0.95 f48.40 ± 2.06 h47.25 ± 0.12 e0.86 ± 0.03 hi0.97 ± 0.02 lmn
Means followed by different letters are significant according to Tukey’s test at level of p ≤ 0.05. Note, double letter is different from single letter.
Table 3. Changes in soil pH, electrical conductivity (ECe), and sodium adsorption ratio (SAR) under different treatments and salinity levels (2023–2024).
Table 3. Changes in soil pH, electrical conductivity (ECe), and sodium adsorption ratio (SAR) under different treatments and salinity levels (2023–2024).
pHECeSAR
202320242023202420232024
Variety1317.90 ± 0.01 a8.09 ± 0.01 a3.74 ± 0.01 c3.87 ± 0.01 c9.83 ± 0.37 c10.00 ± 0.38 c
1327.61 ± 0.01 b7.75 ± 0.01 b4.09 ± 0.01 b4.21 ± 0.01 b10.31 ± 0.40 b10.45 ± 0.41 b
1787.77 ± 0.01 a7.87 ± 0.01 b4.57 ± 0.01 a4.70 ± 0.01 a10.88 ± 0.42 a11.03 ± 0.43 a
SalinityEC 3.57.55 ± 0.017.60 ± 0.013.56 ± 0.013.63 ± 0.019.78 ± 0.459.87 ± 0.45
EC 6.37.81 ± 0.018.01 ± 0.014.36 ± 0.014.50 ± 0.0110.55 ± 0.3810.71 ± 0.39
TreatmentsControl7.96 ± 0.04 a8.08 ± 0.04 a5.94 ± 0.03 a6.08 ± 0.03 a12.42 ± 0.52 a12.57 ± 0.53 a
Compost-57.80 ± 0.00 a7.89 ± 0.00 b4.05 ± 0.00 c4.15 ± 0.00 c10.24 ± 0.43 c10.38 ± 0.43 c
Compost-107.72 ± 0.01 b7.87 ± 0.01 b3.57 ± 0.00 d3.58 ± 0.00 d9.50 ± 0.37 d9.49 ± 0.37 d
PGPR7.80 ± 0.00 a8.10 ± 0.00 a4.96 ± 0.00 b5.19 ± 0.00 b11.15 ± 0.44 b11.41 ± 0.45 b
Compost-5 + PGPR7.66 ± 0.00 c7.78 ± 0.00 c3.27 ± 0.00 d3.41 ± 0.00 d9.59 ± 0.33 d9.78 ± 0.33 d
Compost-10 + PGPR7.62 ± 0.00 c7.71 ± 0.00 c3.02 ± 0.00 e3.15 ± 0.00 e9.14 ± 0.30 e9.32 ± 0.31 e
Interaction
Maize varietySalinity (dS/m)Treatments
Single Cross 131ECe 3.5Control7.92 ± 0.01 i7.90 ± 0.00 j4.10 ± 0.02 lm4.26 ± 0.02 o10.14 ± 0.66 ghiklm10.33 ± 0.67 fghijk
Compost-57.80 ± 0.04 j7.80 ± 0.01 k2.43 ± 0.00 w2.76 ± 0.00 x7.81 ± 0.52 p8.32 ± 0.56 mn
Compost-107.70 ± 0.01 k7.70 ± 0.00 lm2.76 ± 0.00 u2.59 ± 0.00 z8.72 ± 0.20 mnop8.45 ± 0.19 mn
PGPR7.80 ± 0.00 j7.80 ± 0.00 k3.19 ± 0.00 s3.44 ± 0.00 v9.38 ± 0.21 klmno9.73 ± 0.22 ijklm
Compost-5 + PGPR7.60 ± 0.00 l7.65 ± 0.00 m2.73 ± 0.00 uv2.75 ± 0.00 y9.12 ± 0.44 lmnop9.15 ± 0.44 klmn
Compost-10 + PGPR7.70 ± 0.00 k7.74 ± 0.04 l2.30 ± 0.00 x2.31 ± 0.00 aa8.37 ± 0.40 nop8.39 ± 0.40 mn
ECe 6.3Control8.22 ± 0.04 a8.45 ± 0.00 c6.91 ± 0.03 b7.10 ± 0.03 b13.71 ± 0.29 ab13.90 ± 0.29 ab
Compost-58.10 ± 0.00 cd8.10 ± 0.01 h4.39 ± 0.00 j4.38 ± 0.00 l10.93 ± 0.24 efghij10.92 ± 0.23 efghij
Compost-108.00 ± 0.01 gh8.51 ± 0.00 b3.24 ± 0.01 r3.23 ± 0.01 w8.72 ± 0.47 mnop8.71 ± 0.84 lmn
PGPR8.00 ± 0.00 gh8.46 ± 0.00 bc5.28 ± 0.00 g5.58 ± 0.00 g11.14 ± 0.61 defgh11.45 ± 0.63 defg
Compost-5 + PGPR8.00 ± 0.00 fgh8.62 ± 0.00 a3.72 ± 0.00 o4.01 ± 0.00 q9.88 ± 0.20 hijklm10.25 ± 0.20 fghijk
Compost-10 + PGPR7.90 ± 0.00 i8.33 ± 0.04 de3.87 ± 0.00 n4.08 ± 0.00 p10.07 ± 0.20 ghijkl10.34 ± 0.21 fghijk
Single Cross 132ECe 3.5Control7.52 ± 0.04 m7.66 ± 0.00 m5.19 ± 0.02 h5.29 ± 0.02 i11.41 ± 0.77 defg11.52 ± 0.79 def
Compost-57.40 ± 0.00 n7.40 ± 0.01 o3.72 ± 0.00 o3.72 ± 0.00 s9.66 ± 0.64 ijklmn9.66 ± 0.46 jklm
Compost-107.30 ± 0.01 o7.30 ± 0.00 q3.25 ± 0.01 r3.23 ± 0.01 v9.46 ± 0.21 klmno9.44 ± 0.22 klmn
PGPR7.40 ± 0.00 n7.68 ± 0.00 m4.17 ± 0.00 k4.33 ± 0.00 m10.72 ± 0.24 fghijk10.92 ± 0.26 efghij
Compost-5 + PGPR7.30 ± 0.00 o7.35 ± 0.00 op2.92 ± 0.00 t2.94 ± 0.00 w9.43 ± 0.46 klmno9.46 ± 0.46 jklmn
Compost-10 + PGPR7.30 ± 0.00 o7.33 ± 0.04 pq2.14 ± 0.00 y2.15 ± 0.00 bb8.07 ± 0.39 op8.09 ± 0.39 n
ECe 6.3Control8.12 ± 0.04 bc8.26 ± 0.00 f6.22 ± 0.03 d6.32 ± 0.03 d13.00 ± 0.27 abc13.11 ± 0.28 abc
Compost-57.90 ± 0.00 i8.20 ± 0.01 g4.40 ± 0.00 j4.57 ± 0.00 j10.94 ± 0.24 efghij11.14 ± 0.24 defghi
Compost-107.80 ± 0.01 j8.17 ± 0.00 g4.50 ± 0.01 i4.50 ± 0.01 k10.28 ± 0.56 ghijkl10.28 ± 0.57 fghijk
PGPR7.90 ± 0.00 i8.27 ± 0.00 ef5.20 ± 0.00 h5.45 ± 0.00 h11.05 ± 0.61 defghi11.31 ± 0.62 defgh
Compost-5 + PGPR7.70 ± 0.00 k7.70 ± 0.00 lm3.50 ± 0.00 q3.76 ± 0.00 r9.58 ± 0.19 jklmn9.93 ± 0.20 hijkl
Compost-10 + PGPR7.70 ± 0.00 k7.70 ± 0.00 lm3.90 ± 0.00 n4.21 ± 0.00 o10.11 ± 0.20 ghijklmn10.50 ± 0.21 fghijk
Single Cross 178ECe 3.5Control7.84 ± 0.04 j7.82 ± 0.04 k5.71 ± 0.03 e5.82 ± 0.03 e11.97 ± 0.81 cdef12.09 ± 0.83 cde
Compost-57.51 ± 0.00 m7.51 ± 0.00 n4.06 ± 0.00 m4.07 ± 0.00 q10.09 ± 0.67 ghijkl10.11 ± 0.67 fghijkl
Compost-107.49 ± 0.01 m7.49 ± 0.01 n3.60 ± 0.01 b3.64 ± 0.01 s9.96 ± 0.22 hijklm10.02 ± 0.23 ghijkl
PGPR7.63 ± 0.00 l7.92 ± 0.00 ij5.60 ± 0.00 f5.72 ± 0.00 f12.43 ± 0.28 bcd12.56 ± 0.28 bcd
Compost-5 + PGPR7.34 ± 0.00 o7.39 ± 0.00 o3.50 ± 0.00 q3.52 ± 0.00 t10.32 ± 0.50 ghijkl10.35 ± 0.50 fghijk
Compost-10 + PGPR7.33 ± 0.00 o7.36 ± 0.00 op2.70 ± 0.00 v2.72 ± 0.00 yz9.06 ± 0.44 lmnop9.10 ± 0.44 klmn
ECe 6.3Control8.17 ± 0.04 ab8.37 ± 0.04 d7.52 ± 0.04 h7.67 ± 0.04 a14.30 ± 0.30 a14.44 ± 0.31 a
Compost-58.05 ± 0.00 def8.30 ± 0.00 ef5.30 ± 0.00 g5.41 ± 0.00 h12.01 ± 0.26 cdef12.13 ± 0.26 cde
Compost-108.05 ± 0.00 efg8.05 ± 0.00 h4.10 ± 0.00 l4.27 ± 0.00 n9.82 ± 0.54 hijklm10.02 ± 0.55 ghijkl
PGPR8.07 ± 0.00 cde8.45 ± 0.00 c6.30 ± 0.00 c6.65 ± 0.00 c12.17 ± 0.67 cde12.50 ± 0.69 bcd
Compost-5 + PGPR7.98 ± 0.00 h7.96 ± 0.00 i3.24 ± 0.00 r3.47 ± 0.00 u9.22 ± 0.18 lmnop9.54 ± 0.19 jklmn
Compost-10 + PGPR7.82 ± 0.00 j7.81 ± 0.00 k3.20 ± 0.00 s3.45 ± 0.00 v9.16 ± 0.18 lmnop9.51 ± 0.19 jklmn
Means followed by different letters are significant according to Tukey’s test at level of p ≤ 0.05. Note, double letter is different from single letter.
Table 4. Changes in soil exchangeable sodium percentage (ESP), soil bulk density, and total porosity under different treatments and salinity levels (2023–2024).
Table 4. Changes in soil exchangeable sodium percentage (ESP), soil bulk density, and total porosity under different treatments and salinity levels (2023–2024).
ESPBulk DensityTotal Porosity
202320242023202420232024
Variety13111.66 ± 0.43 b11.84 ± 0.43 c1.35 ± 0.00 a1.36 ± 0.00 a49.00 ± 0.07 a48.65 ± 0.07 a
13212.22 ± 0.45 a12.37 ± 0.46 b1.35 ± 0.00 a1.36 ± 0.00 a49.03 ± 0.07 a48.65 ± 0.07 a
17812.84 ± 0.47 a13.01 ± 0.48 a1.35 ± 0.00 a1.36 ± 0.00 a48.99 ± 0.06 a48.65 ± 0.06 a
SalinityEC 3.511.61 ± 0.5211.71 ± 0.521.33 ± 0.001.33 ± 0.0049.74 ± 0.0749.76 ± 0.07
EC 6.312.47 ± 0.4312.65 ± 0.441.36 ± 0.001.37 ± 0.0048.86 ± 0.0648.38 ± 0.06
TreatmentsControl14.55 ± 0.56 a14.70 ± 0.58 a1.39 ± 0.01 a1.43 ± 0.01 a47.42 ± 0.25 d45.97 ± 0.25 e
Compost-512.13 ± 0.50 c12.30 ± 0.50 c1.35 ± 0.00 b1.37 ± 0.00 b48.91 ± 0.03 c48.47 ± 0.03 c
Compost-1011.30 ± 0.42 d11.29 ± 0.43 d1.35 ± 0.00 b1.34 ± 0.00 b49.19 ± 0.07 b49.31 ± 0.07 b
PGPR13.17 ± 0.48 b13.46 ± 0.49 b1.37 ± 0.00 a1.40 ± 0.00 a48.36 ± 0.01 c47.17 ± 0.01 d
Compost-5 + PGPR11.41 ± 0.38 d11.63 ± 0.38 d1.33 ± 0.00 b1.32 ± 0.00 c49.73 ± 0.02 b50.29 ± 0.02 a
Compost-10 + PGPR10.88 ± 0.36 e11.09 ± 0.36 d1.31 ± 0.00 c1.31 ± 0.00 c50.44 ± 0.02 a50.69 ± 0.02 a
Interaction
Maize varietySalinity (dS/m)Treatments
Single Cross 131ECe 3.5Control12.04 ± 0.34 fghijk12.26 ± 0.76 fghij1.37 ± 0.01 de1.44 ± 0.01 b48.17 ± 0.03 lm45.52 ± 0.25 n
Compost-59.30 ± 0.75 o9.92 ± 0.67 no1.35 ± 0.00 j1.34 ± 0.00 j49.03 ± 0.09 gh49.41 ± 0.03 g
Compost-1010.40 ± 0.64 lmno10.08 ± 0.23 mno1.34 ± 0.00 lm1.33 ± 0.00 k49.45 ± 0.01 ef49.83 ± 0.08 f
PGPR11.17 ± 0.24 jklmn11.58 ± 0.25 ijklm1.36 ± 0.00 hi1.36 ± 0.00 hi48.68 ± 0.02 i48.68 ± 0.01 h
Compost-5 + PGPR10.86 ± 0.25 klmno10.90 ± 0.52 klmno1.31 ± 0.00 n1.28 ± 0.00 no50.55 ± 0.02 c51.68 ± 0.02 b
Compost-10 + PGPR9.97 ± 0.52 mno10.00 ± 0.49 mno1.30 ± 0.00 o1.28 ± 0.00 o50.94 ± 0.25 b51.70 ± 0.02 b
ECe 6.3Control15.93 ± 0.48 ab16.13 ± 0.31 ab1.42 ± 0.01 a1.45 ± 0.01 a46.28 ± 0.03 p45.15 ± 0.26 o
Compost-512.94 ± 0.30 efghi12.92 ± 0.26 efghi1.36 ± 0.00 hi1.37 ± 0.00 f48.66 ± 0.09 ij48.28 ± 0.03 j
Compost-1010.40 ± 0.27 lmno10.38 ± 0.57 lmno1.36 ± 0.00 ij1.36 ± 0.00 i48.69 ± 0.01 hi48.69 ± 0.09 h
PGPR13.17 ± 0.56 defg13.52 ± 0.69 defg1.37 ± 0.00 efg1.44 ± 0.00 b48.30 ± 0.02 kl45.66 ± 0.01 n
Compost-5 + PGPR11.74 ± 0.68 ghijkl12.17 ± 0.23 fghij1.34 ± 0.00 kl1.34 ± 0.00 j49.41 ± 0.02 f49.41 ± 0.02 g
Compost-10 + PGPR11.97 ± 0.23 fghijkl12.27 ± 0.24 fghij1.33 ± 0.00 m1.33 ± 0.00 k49.81 ± 0.24 d49.81 ± 0.02 f
Single Cross 132ECe 3.5Control13.47 ± 0.23 def13.59 ± 0.87 def1.36 ± 0.01 fghi1.40 ± 0.01 d48.55 ± 0.02 ijk47.04 ± 0.25 l
Compost-511.49 ± 0.86 hijklm11.49 ± 0.75 jklmn1.33 ± 0.00 m1.33 ± 0.00 k49.79 ± 0.08 de49.79 ± 0.02 f
Compost-1011.27 ± 0.75 jklm11.24 ± 0.25 klmno1.32 ± 0.00 n1.31 ± 0.00 m50.20 ± 0.01 c50.58 ± 0.08 d
PGPR12.71 ± 0.24 efghij12.93 ± 0.27 efghi1.35 ± 0.00 jk1.37 ± 0.00 fg49.06 ± 0.02 g48.30 ± 0.01 j
Compost-5 + PGPR11.22 ± 0.27 jklmn11.26 ± 0.53 klmno1.31 ± 0.00 n1.28 ± 0.00 no50.55 ± 0.02 c51.68 ± 0.02 b
Compost-10 + PGPR9.62 ± 0.53 no9.64 ± 0.48 o1.29 ± 0.00 p1.27 ± 0.00 p51.32 ± 0.25 a52.07 ± 0.02 a
ECe 6.3Control15.19 ± 0.47 abc15.31 ± 0.29 abc1.41 ± 0.01 b1.45 ± 0.01 a46.66 ± 0.03 o45.15 ± 0.26 o
Compost-512.95 ± 0.29 defghi13.18 ± 0.27 defghi1.38 ± 0.00 d1.41 ± 0.00 d47.90 ± 0.09 m46.77 ± 0.03 l
Compost-1012.21 ± 0.27 fghijk12.21 ± 0.64 fghij1.37 ± 0.00 efgh1.37 ± 0.00 fgh48.32 ± 0.01 jkl48.32 ± 0.09 ij
PGPR13.07 ± 0.63 defgh13.36 ± 0.69 defgh1.39 ± 0.00 c1.43 ± 0.00 c47.55 ± 0.02 n46.04 ± 0.01 m
Compost-5 + PGPR11.40 ± 0.68 ijklm11.80 ± 0.23 hijkl1.36 ± 0.00 ghi1.36 ± 0.00 ghi48.66 ± 0.02 ij48.66 ± 0.02 hi
Compost-10 + PGPR12.01 ± 0.22 fghijkl12.46 ± 0.24 fghij1.33 ± 0.00 m1.34 ± 0.00 j49.81 ± 0.24 d49.43 ± 0.02 g
Single Cross 178ECe 3.5Control14.08 ± 0.23 cde14.21 ± 0.90 cde1.37 ± 0.01 de1.38 ± 0.01 e48.17 ± 0.02 lm47.79 ± 0.24 k
Compost-511.99 ± 0.89 fghijkl12.00 ± 0.77 fghijk1.33 ± 0.00 m1.33 ± 0.00 k49.79 ± 0.08 de49.79 ± 0.02 f
Compost-1011.84 ± 0.77 fghijkl11.91 ± 0.26 ghijk1.32 ± 0.00 n1.32 ± 0.00 l50.20 ± 0.08 c50.20 ± 0.08 e
PGPR14.58 ± 0.25 bcd14.72 ± 0.30 bcd1.35 ± 0.00 jk1.36 ± 0.00 hi49.06 ± 0.01 g48.68 ± 0.01 h
Compost-5 + PGPR12.25 ± 0.30 fghijk12.28 ± 0.57 fghij1.31 ± 0.00 n1.28 ± 0.00 no50.55 ± 0.02 c51.68 ± 0.02 b
Compost-10 + PGPR10.80 ± 0.57 klmno10.84 ± 0.52 klmno1.29 ± 0.00 p1.29 ± 0.00 n51.32 ± 0.02 a51.32 ± 0.02 c
ECe 6.3Control16.55 ± 0.52 a16.69 ± 0.31 a1.41 ± 0.01 b1.45 ± 0.01 a46.66 ± 0.25 o45.15 ± 0.26 o
Compost-514.13 ± 0.31 cde14.26 ± 0.28 cde1.37 ± 0.00 ef1.41 ± 0.00 d48.28 ± 0.03 kl46.77 ± 0.03 l
Compost-1011.68 ± 0.29 ghijkl11.91 ± 0.36 ghijk1.37 ± 0.00 def1.37 ± 0.00 f48.25 ± 0.00 kl48.25 ± 0.00 j
PGPR14.30 ± 0.62 cde14.66 ± 0.74 bcd1.39 ± 0.00 c1.44 ± 0.00 b47.54 ± 0.00 n45.65 ± 0.00 n
Compost-5 + PGPR10.98 ± 0.72 klmn11.35 ± 0.22 jklmn1.36 ± 0.00 ghi1.36 ± 0.00 ghi48.66 ± 0.02 ij48.66 ± 0.02 hi
Compost-10 + PGPR10.91 ± 0.21 klmno11.32 ± 0.22 jklmn1.34 ± 0.00 lm1.33 ± 0.00 k49.45 ± 0.02 ef49.82 ± 0.01 f
Means followed by different letters are significant according to Tukey’s test at level of p ≤ 0.05. Note, double letter is different from single letter.
Table 5. Effects of compost and PGPR treatments on soil biological properties and nutrient availability in maize under salinity stress (2023–2024).
Table 5. Effects of compost and PGPR treatments on soil biological properties and nutrient availability in maize under salinity stress (2023–2024).
Available NSoil Organic MatterTotal BacteriaTotal Fungi
20232024202320242023202420232024
Variety13125.79 ± 0.03 a27.23 ± 0.03 a1.08 ± 0.00 a1.09 ± 0.00 a4.76 ± 0.23 a5.25 ± 0.27 a1.41 ± 0.05 c1.49 ± 0.05 c
13225.79 ± 0.03 a27.24 ± 0.03 a1.08 ± 0.00 a1.09 ± 0.00 a4.72 ± 0.32 a5.22 ± 0.35 a1.47 ± 0.06 b1.60 ± 0.07 b
17825.79 ± 0.02 a27.24 ± 0.03 a1.07 ± 0.00 a1.09 ± 0.00 a4.33 ± 0.23 b4.76 ± 0.27 b1.53 ± 0.06 a1.67 ± 0.06 a
SalinityEC 3.527.83 ± 0.0329.26 ± 0.031.16 ± 0.001.17 ± 0.004.95 ± 0.325.46 ± 0.361.59 ± 0.081.71 ± 0.07
EC 6.325.18 ± 0.0226.65 ± 0.031.05 ± 0.001.06 ± 0.004.44 ± 0.284.90 ± 0.321.39 ± 0.051.50 ± 0.06
TreatmentsControl17.57 ± 0.08 f18.60 ± 0.09 f0.96 ± 0.00 c0.93 ± 0.00 c3.43 ± 0.37 c3.82 ± 0.44 d1.29 ± 0.07 e1.38 ± 0.08 d
Compost-523.71 ± 0.01 d24.83 ± 0.01 d1.00 ± 0.00 c1.01 ± 0.00 b4.29 ± 0.26 b4.77 ± 0.31 c1.39 ± 0.05 d1.50 ± 0.05 c
Compost-1025.89 ± 0.04 c28.11 ± 0.04 c1.12 ± 0.00 b1.14 ± 0.00 b4.30 ± 0.21 b4.76 ± 0.23 c1.48 ± 0.08 c1.60 ± 0.08 b
PGPR21.02 ± 0.00 e21.59 ± 0.00 e0.99 ± 0.00 b1.01 ± 0.00 b4.80 ± 0.24 b5.30 ± 0.29 b1.52 ± 0.08 b1.61 ± 0.06 b
Compost-5 + PGPR30.63 ± 0.01 b31.73 ± 0.01 b1.19 ± 0.00 a1.22 ± 0.00 a5.39 ± 0.25 a5.91 ± 0.26 a1.57 ± 0.04 a1.71 ± 0.04 a
Compost-10 + PGPR35.91 ± 0.02 a38.56 ± 0.02 a1.21 ± 0.00 a1.24 ± 0.00 a5.40 ± 0.22 a5.92 ± 0.27 a1.57 ± 0.04 a1.72 ± 0.05 a
Interaction
Maize varietySalinity (dS/m)Treatments
Single Cross 131ECe 3.5Control19.26 ± 0.09 y20.72 ± 0.10 v1.08 ± 0.01 n1.05 ± 0.00 p4.10 ± 0.12 ghijklm4.51 ± 0.15 ghijkl1.33 ± 0.11 ijkl1.26 ± 0.04 mnopq
Compost-525.22 ± 0.01 o26.17 ± 0.01 p1.11 ± 0.00 m1.12 ± 0.00 m4.83 ± 0.13 defg5.40 ± 0.07 defg1.46 ± 0.04 bcdefghij1.60 ± 0.04 fghijklmn
Compost-1028.30 ± 0.05 j30.22 ± 0.05 k1.21 ± 0.00 lf1.24 ± 0.00 e4.80 ± 0.17 defg5.30 ± 0.16 defg1.60 ± 0.11 abcde1.70 ± 0.10 cdefghij
PGPR22.66 ± 0.01 s23.33 ± 0.01 s1.08 ± 0.00 n1.11 ± 0.00 n5.61 ± 0.34 bcd6.15 ± 0.38 bcd1.63 ± 0.11 abcd1.72 ± 0.06 cdefghij
Compost-5 + PGPR33.37 ± 0.01 f34.67 ± 0.01 f1.24 ± 0.00 c1.26 ± 0.00 c6.81 ± 0.08 a7.28 ± 0.28 a1.66 ± 0.04 ab1.76 ± 0.03 bcdefg
Compost-10 + PGPR38.62 ± 0.02 b40.54 ± 0.02 a1.26 ± 0.00 a1.28 ± 0.00 a6.41 ± 0.36 ab7.06 ± 0.36 ab1.58 ± 0.05 abcdefg1.70 ± 0.02 cdefghijk
ECe 6.3Control15.55 ± 0.07 bb17.01 ± 0.08 z0.84 ± 0.00 x0.82 ± 0.00 w2.88 ± 0.48 n3.19 ± 0.55 m1.12 ± 0.01 l1.19 ± 0.06 r
Compost-521.90 ± 0.01 u22.46 ± 0.01 u0.88 ± 0.00 u0.86 ± 0.00 u3.65 ± 0.31 ijklmn4.09 ± 0.38 hijklm1.22 ± 0.03 kl1.31 ± 0.08 qr
Compost-1023.69 ± 0.04 q25.63 ± 0.05 r1.02 ± 0.00 r1.05 ± 0.00 p3.75 ± 0.31 hijklmn4.17 ± 0.37 hijklm1.23 ± 0.03 kl1.32 ± 0.06 pqr
PGPR19.07 ± 0.00 z19.69 ± 0.00 y0.88 ± 0.00 u0.91 ± 0.00 s4.52 ± 0.22 efghi5.05 ± 0.35 defghi1.32 ± 0.07 ijkl1.36 ± 0.06 opqr
Compost-5 + PGPR29.07 ± 0.01 i30.08 ± 0.01 l1.17 ± 0.00 h1.19 ± 0.00 i4.84 ± 0.17 defg5.37 ± 0.13 defg1.36 ± 0.04 ghijk1.49 ± 0.04 jklmnopq
Compost-10 + PGPR32.72 ± 0.02 g36.26 ± 0.02 e1.19 ± 0.00 g1.20 ± 0.00 h4.93 ± 0.10 defg5.45 ± 0.09 defg1.37 ± 0.03 fghijk1.46 ± 0.04 lmnopq
Single Cross 132ECe 3.5Control19.33 ± 0.09 y20.19 ± 0.09 x1.04 ± 0.00 p1.01 ± 0.00 q3.50 ± 0.46 jklmn3.96 ± 0.66 ijklm1.26 ± 0.06 jkl1.41 ± 0.12 mnopqr
Compost-526.56 ± 0.01 m27.42 ± 0.01 o1.14 ± 0.00 k1.16 ± 0.00 k4.57 ± 0.36 efghi5.10 ± 0.40 defgh1.40 ± 0.08 efghijk1.49 ± 0.05 ijklmnopq
Compost-1027.31 ± 0.05 l31.02 ± 0.05 i1.22 ± 0.00 e1.23 ± 0.00 f4.36 ± 0.27 fghijkl4.85 ± 0.35 fghij1.57 ± 0.10 abcdefg1.67 ± 0.14 cdefghijkl
PGPR22.07 ± 0.00 t23.32 ± 0.00 s1.08 ± 0.00 n1.09 ± 0.00 o5.18 ± 0.51 cdef5.77 ± 0.59 cdef1.59 ± 0.09 abcdef1.72 ± 0.09 cdefghi
Compost-5 + PGPR32.27 ± 0.01 h33.83 ± 0.01 g1.24 ± 0.00 c1.25 ± 0.00 d6.13 ± 0.67 abc6.71 ± 0.56 ab1.72 ± 0.05 a1.85 ± 0.06 abcd
Compost-10 + PGPR40.08 ± 0.02 a40.63 ± 0.02 a1.26 ± 0.00 a1.27 ± 0.00 b6.21 ± 0.23 ab6.73 ± 0.33 ab1.66 ± 0.07 ab1.80 ± 0.09 abcdef
ECe 6.3Control15.79 ± 0.04 aa16.26 ± 0.08 aa0.86 ± 0.00 w0.84 ± 0.00 v3.47 ± 0.28 klmn3.88 ± 0.44 jklm1.26 ± 0.05 ijkl1.38 ± 0.04 nopqr
Compost-520.86 ± 0.01 w22.75 ± 0.01 t0.87 ± 0.00 v0.89 ± 0.00 t4.43 ± 0.19 efghijk4.91 ± 0.35 efghij1.28 ± 0.06 ijkl1.40 ± 0.04 mnopqr
Compost-1024.06 ± 0.04 p25.81 ± 0.04 q1.04 ± 0.00 p1.05 ± 0.00 p4.29 ± 0.19 fghijkl4.70 ± 0.17 fghijkl1.41 ± 0.08 efghijk1.54 ± 0.09 ghijklmnop
PGPR19.81 ± 0.00 x20.09 ± 0.00 x0.91 ± 0.00 s0.92 ± 0.00 r4.89 ± 0.12 defg5.37 ± 0.05 defg1.42 ± 0.03 defghijk1.55 ± 0.02 ghijklmnop
Compost-5 + PGPR27.58 ± 0.01 k28.24 ± 0.01 m1.16 ± 0.00 i1.17 ± 0.00 j4.87 ± 0.06 defg5.39 ± 0.06 defg1.48 ± 0.06 bcdefghi1.61 ± 0.08 efghijklmn
Compost-10 + PGPR33.69 ± 0.02 e37.27 ± 0.02 c1.15 ± 0.00 j1.21 ± 0.00 g4.78 ± 0.28 defg5.32 ± 0.29 defg1.60 ± 0.01 abcde1.73 ± 0.02 cdefgh
Single Cross 178ECe 3.5Control19.92 ± 0.09 x20.38 ± 0.10 w1.04 ± 0.00 p1.01 ± 0.00 q3.26 ± 0.57 mn3.63 ± 0.56 lm1.56 ± 0.11 abcdefgh1.70 ± 0.13 cdefghij
Compost-526.22 ± 0.01 n27.70 ± 0.01 n1.11 ± 0.00 m1.13 ± 0.00 l4.19 ± 0.50 fghijklm4.69 ± 0.55 fghijkl1.65 ± 0.09 abc1.76 ± 0.06 bcdefg
Compost-1028.25 ± 0.05 j30.20 ± 0.05 kl1.21 ± 0.00 f1.23 ± 0.00 f4.50 ± 0.23 efghij4.94 ± 0.26 efghij1.73 ± 0.08 a1.88 ± 0.02 abc
PGPR23.46 ± 0.00 r23.41 ± 0.00 s1.06 ± 0.00 o1.09 ± 0.00 o4.38 ± 0.26 fghijkl4.83 ± 0.29 fghijk1.76 ± 0.13 a1.84 ± 0.13 abcde
Compost-5 + PGPR32.38 ± 0.01 h32.95 ± 0.01 h1.23 ± 0.00 d1.25 ± 0.00 d4.77 ± 0.13 defg5.29 ± 0.23 defg1.77 ± 0.02 a1.98 ± 0.01 ab
Compost-10 + PGPR35.62 ± 0.02 c40.02 ± 0.02 b1.25 ± 0.00 b1.27 ± 0.00 b5.43 ± 0.22 bcde6.02 ± 0.37 bcde1.74 ± 0.06 a2.00 ± 0.09 a
ECe 6.3Control15.55 ± 0.07 bb17.01 ± 0.08 z0.86 ± 0.00 w0.84 ± 0.00 v3.39 ± 0.16 lmn3.74 ± 0.27 klm1.22 ± 0.11 kl1.35 ± 0.06 pqr
Compost-521.50 ± 0.01 v22.46 ± 0.01 u0.87 ± 0.00 v0.89 ± 0.00 t4.05 ± 0.06 ghijklm4.44 ± 0.11 ghijkl1.31 ± 0.03 ijkl1.41 ± 0.07 mnopqr
Compost-1023.72 ± 0.00 q25.77 ± 0.00 q1.03 ± 0.00 q1.05 ± 0.00 p4.13 ± 0.08 ghijklm4.60 ± 0.06 ghijkl1.35 ± 0.07 hijk1.48 ± 0.06 klmnopq
PGPR19.05 ± 0.00 z19.70 ± 0.00 y0.90 ± 0.00 t0.92 ± 0.00 r4.22 ± 0.04 fghijklm4.61 ± 0.06 ghijkl1.40 ± 0.04 efghijk1.50 ± 0.01 hijklmnopq
Compost-5 + PGPR29.07 ± 0.01 i30.60 ± 0.01 j1.12 ± 0.00 l1.17 ± 0.00 j4.93 ± 0.38 defg5.42 ± 0.27 defg1.43 ± 0.03 cdefghijk1.58 ± 0.04 fghijklmno
Compost-10 + PGPR34.70 ± 0.01 d36.66 ± 0.01 d1.15 ± 0.00 j1.21 ± 0.00 g4.66 ± 0.13 defgh4.95 ± 0.18 efghij1.46 ± 0.02 bcdefghij1.62 ± 0.04 defghijklm
Means followed by different letters are significant according to Tukey’s test at level of p ≤ 0.05. Note, double letter is different from single letter.
Table 6. Properties of the experimental soil during the 2023 and 2024 seasons.
Table 6. Properties of the experimental soil during the 2023 and 2024 seasons.
ParameterSoil 1 (Control)Soil 2 (Saline)
2023202420232024
pH (1:2.5 soil: distilled water suspension)7.47 ± 0.017.67 ± 0.018.15 ± 0.028.20 ± 0.01
EC ¥ (Soil paste extract; dS/m)3.70 ± 0.033.28 ± 0.026.23 ± 0.036.41 ± 0.02
Soluble ions (meq/L)
Na+19.86 ± 0.9520.86 ± 0.9526.78 ± 0.8426.78 ± 0.84
K+0.27 ± 0.010.33 ± 0.010.53 ± 0.010.54 ± 0.01
Ca2+7.02 ± 0.517.09 ± 0.519.94 ± 0.429.99 ± 0.42
Mg2+6.65 ± 0.336.75 ± 0.337.62 ± 0.257.60 ± 0.25
CO32−nd ndndnd
HCO310.24 ± 0.7210.24 ± 0.7210.75 ± 0.6110.72 ± 0.61
Cl14.26 ± 0.8814.26 ± 0.8823.05 ± 0.8322.05 ± 0.83
SO42−9.30 ± 0.319.30 ± 0.319.69 ± 0.229.79 ± 0.22
SAR (Sodium adsorption ratio)9.59 ± 0.129.09 ± 0.1112.58 ± 0.1412.58 ± 0.15
Exchangeable sodium percentage (%)11.41 ± 0.1110.83 ± 0.0914.75 ± 0.1414.74 ± 0.13
Available macronutrients (mg/kg)
N39.67 ± 1.2140.23 ±1.3121.36 ± 1.1128.29 ± 1.24
P4.48 ± 0.214.51 ± 0.252.86 ± 0.152.98 ± 0.19
K336 ± 21335 ± 25215 ± 21204 ± 25
Bulk density (kg/m3)1.37 ± 0.011.38 ± 0.021.42 ± 0.011.44 ± 0.02
Total porosity (%)48.30 ± 3.4147.92 ± 2.3246.42 ± 3.1945.66 ± 3.21
Organic matter (%)1.06 ± 0.011.04 ± 0.010.85 ± 0.020.84 ± 0.01
CaCO3 (%)2.13 ± 0.022.12 ± 0.012.95 ± 0.022.94 ± 0.02
Field capacity (%)42.43 ± 0.3243.45 ±0.2340.73 ± 0.3140.42 ± 0.29
Wilting point (%)22.21 ± 0.2222.34 ± 0.2021.53 ± 0.2221.47 ± 0.19
Cation exchange capacity (cmolc/kg)1.86 ± 0.011.96 ± 0.011.56 ± 0.011.55 ± 0.01
Sand (%)15.56 ±0.1115.65 ±0.1015.49 ± 0.1115.07 ± 0.12
Silt (%)32.11 ±0.1832.48 ±0.1632.19 ± 0.1832.56 ± 0.19
Clay (%)52.33 ±0.1951.87 ±0.1752.32 ± 0.2152.37 ± 0.22
Texture classClayClayClayClay
Soil classificationalluvialalluvialalluvialalluvial
¥ Electrical conductivity; not detected.
Table 7. Properties of the compost applied in the experiment in 2023 and 2024 seasons.
Table 7. Properties of the compost applied in the experiment in 2023 and 2024 seasons.
Parameter20232024
pH (1:10 compost: distilled water suspension)6.77 ± 0.016.79 ± 0.01
EC ¥ (1:10 compost: distilled water extract; dS/m)4.51 ± 0.054.57 ± 0.04
Organic matter (%)38.84 ± 2.2238.82 ± 1.98
N (%)1.54 ± 0.031.52 ± 0.04
C (%)33.54 ± 0.9232.95 ± 0.88
C:N23.11 ± 1.0123.09 ± 0.99
P (%)0.88 ± 0.020.87 ± 0.03
K (%)1.41 ± 0.131.46 ± 0.11
Manganese (mg/kg)361 ± 25369 ± 26
Iron (mg/kg)349 ± 32341 ± 27
Zinc (mg/kg)72 ± 1170 ± 10
¥ Electrical conductivity.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

El-Akhdar, I.; Elhawat, N.; Shabana, M.M.A.; Aboelsoud, H.M.; Alshaal, T. Physiological and Agronomic Responses of Maize (Zea mays L.) to Compost and PGPR Under Different Salinity Levels. Plants 2025, 14, 1539. https://doi.org/10.3390/plants14101539

AMA Style

El-Akhdar I, Elhawat N, Shabana MMA, Aboelsoud HM, Alshaal T. Physiological and Agronomic Responses of Maize (Zea mays L.) to Compost and PGPR Under Different Salinity Levels. Plants. 2025; 14(10):1539. https://doi.org/10.3390/plants14101539

Chicago/Turabian Style

El-Akhdar, Ibrahim, Nevien Elhawat, Mahmoud M. A. Shabana, Hesham M. Aboelsoud, and Tarek Alshaal. 2025. "Physiological and Agronomic Responses of Maize (Zea mays L.) to Compost and PGPR Under Different Salinity Levels" Plants 14, no. 10: 1539. https://doi.org/10.3390/plants14101539

APA Style

El-Akhdar, I., Elhawat, N., Shabana, M. M. A., Aboelsoud, H. M., & Alshaal, T. (2025). Physiological and Agronomic Responses of Maize (Zea mays L.) to Compost and PGPR Under Different Salinity Levels. Plants, 14(10), 1539. https://doi.org/10.3390/plants14101539

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

Article Metrics

Back to TopTop