Biochemical and Productive Responses of Okra to Selected Biostimulants

J
Jelena Stojiljković1,*
B
Biljana Šević1
D
Dragana Stevanović2
A
Aleksandra Rakonjac1
D
Darko Jovanović1
M
Milan Ugrinović1
E
Emhemed Abourawi Daw3
I
Ivan Tupajić1
1Institute for Vegetable Crops Smederevska Palanka, Karađorđeva 71, 11420 Smederevska Palanka, Serbia.
2“Tamiš” Research and Development Institute, 26000 Pančevo, Serbia.
3Faculty of Agriculture-University of Bani Waleed, Bani Waleed, Libya.
  • Submitted20-04-2026|

  • Accepted09-06-2026|

  • First Online 23-06-2026|

  • doi 10.18805/LRF-956

Background: Although okra [Abelmoschus esculentus (L.) Moench] is a thermophilic species that thrives in warm climates, it remains highly vulnerable to abiotic stress. This study aimed to evaluate the effectiveness of three biostimulants of natural origin as sustainable alternatives to chemical fertilizers for greenhouse production under high summer temperatures.

Methods: A two-year trial (2024 and 2025) was set up in the Institute for Vegetable Crops Smederevska Palanka on the okra. Fifteen days after planting treatments were applied weekly using both foliar application and fertigation methods. Yield per plant, protein content, nitrogen content, antioxidant activity and total phenols were measured.

Result: Biostimulants application significantly increased the yield (p<0.05), with the MAB treatment showing the most significant efect (129.20 g/plant in 2025), followed by PBP (121.16 g/plant) and MBB (80.82 g/plant) compared to the control (<40 g/plant). The highest protein and nitrogen content were observed in the MAB and MBB groups. Antioxidant activity was highest in PBP treatment (3.74 mg TE g-1 d.m. in 2025), followed by MAB (3.71 mg TE g-1 d.m. in 2024). The interaction of year × treatment was significant for all measured parameters, except for total phenols.

In the context of intensifying climate change and growing global food demands, sustainable agriculture has become increasingly important (Rajičić et al., 2025). Unsustainable agricultural management, the excessive application of mineral fertilizers and the impacts of climate change have led to soil and water contamination (Nagegowda and Senthivel, 2021; Sević et al., 2025). In this regard, microalgal biotechnology, alongside fertilizers derived from plant extracts and natural minerals, represent a promising approach for achieving sustainable development goals (Sutherland et al., 2021). Biostimulants based on microalgae, plant extracts and natural minerals improve the biological, chemical and physical characteristics of the soil, facilitating plant development and nutrient cycling (Fiorentino et al., 2025).
       
Although the precise geographical origin of okra  remains a subject of ongoing debate (Ranga et al., 2019), okra is currently cultivated worldwide in tropical, subtropical and warm-temperate regions. Okra represent a nutrient-rich and economically profitable plant species (Krishnakumar et al., 2018; Gaur et al., 2025; Belkhodja et al., 2026). Recent studies by Platzer et al., (2022) have confirmed that phenolic compounds, primarily quaternary derivates, catechin oligomers and hydroxycinnamic acid derivates, have a preventive effects and a positive impact on the antioxidant status of plants.
 
The goal of the work
 
The goal of this research was to evaluate the effects of biostimulants derived from microalgae, plant extracts and natural minerals as sustainable alternatives to conventional mineral fertilizers on okra yield and chemical properties.
 
Novelty of the work
 
Most studies focus on the potential of microalgae at the laboratory level, without addressing the practical challenges of integrating them into existing agricultural systems. The application of micro and macroalgae based preparations in agriculture has been investigated on vegetable species, while the effects of these preparations are not as well known and investigated on the growth and development of okra.
The location of the survey and the plant material
 
A two-year trial was conducted 2024 and 2025 as a follow-up crop under production conditions in a greenhouse. The okra genotype Nana was used as plant material. Seedlings were transplanted onto mulch foil. There was a 100 cm distance between the two mulch foils, intended for a path. Two rows of plants were formed on the mulch foil, which were 20 cm apart, while the distance between the plants in the row was 25 cm.
       
The experiment was set up in the greenhouse of the Institute for Vegetable Crops Smederevska Palanka, Serbia. Before starting the experiment, the soil’s nutrient availability and mechanical composition (Table 1) were determined in the laboratory.

Table 1: Characteristics of the soil in the sample plot.


       
The soil has the highest clay content (49.3%), a slightly acidic pH (6.1) and high levels of accessible P2O5 and K2O (> 40).
 
Biostimulant treatments
 
In the experiment, three treatments with biostimulants of natural origin and a control without application were applied (7-day intervals, starting on the 15th day post-transplant):
1. Control- without biostimulant application.
2. MAB- New generation biostimulant obtained by enzymatic hydrolysis of microalgae. The commercial name of the biostimulant is Algafert, (Biorizon Biotech, Almeria, Spain). The application was carried out foliarly and by watering in a concentration of 30 ml per 10 l of water.
3. PBP- Plant extracts containing phenolic compounds and substances with phytohormone effect. The commercial name of the preparation is Traiko, (Kobilje, Braničevski district, Serbia). The application was carried out foliarly and by watering at a concentration of 375 ml per 10 l of water.
4. MBB- Natural mineral fertiliser based on calcium, magnesium and boron. The commercial name of the preparation is Mineral Forte Plus (Azertrade d.o.o. Novi Sad, Serbia).  The application was carried out foliarly and by watering in a concentration of 20 g per 10 l of water.
 
Experiment design and agrotechnical measures
 
The experiment was set up in a completely randomized block design with 3 replications of 120 plants each.
       
Standard agrotechnical practices were applied throughout the growing season, including drip irrigation and integrated pest and diseases management. Yield per plant, along with protein and nitrogen content, antioxidant activity and total phenol content, were also measured.

Environmental conditions
 
Air temperature (°C) and relative air humidity (RH %) were measured daily using a testo 608-H1 digital thermohygrometer (LGG, Romania).
       
Daily measurements revealed that average greenhouse temperatures in 2025 ranged from 17°C in October to 32°C in July, while in 2024 they were slightly higher and ranged from 21.1°C (October) to 35.1°C (July), (Fig 1). Maximum temperatures occasionally exceeded 40°C in July and August in both years.

Fig 1: Average air temperature and relative humidity in the greenhouse (2024 and 2025).


       
To assess the outdoor meteorological conditions during the study period, average air temperature and relative humidity data were obtained from the Smederevska Palanka weather station.
       
Air temperatures in both study years were significantly higher than the long-term average (1991-2020), characterized by pronounced fluctuations both between months and across years (Fig 2). Relative air humidity also exhibited significant fluctuations between months and years.

Fig 2: Average outdoor air temperature and relative humidity (2024 and 2025) compared to the multi-year average (1991-2020).


       
Data from 2024 and 2025 demonstrate the intensifying meteorological variability in the region (RHMZ, 2026) and these conditions, which align with global trends of accelerated warming, necessitate the adaptation of agrotechnical measures to mitigate adverse effects on the growth and development of cultivated crops.
 
Sample preparation and laboratory analysis
 
Okra pod samples were collected from each plot (replication) during both growing seasons at full market maturity. The plant material was dried, ground and prepared for analysis (Fig 3).

Fig 3: Plant material and laboratory analysis (Source: Author’s).


       
The protein content was determined on fresh okra pod samples using the Kjeldahl method (AOAC, 2006).
       
Antioxidant activity was evaluated using a modified DPPH method and the measured values are shown in mg TE g-1 d.m (Molyneux, 2004).
       
Total phenols were determined using the Folin-Ciocalteu method and values are expressed in mg GAE g-1 d.m (Singleton and Rossi, 1965).
 
Statistical data analysis
 
Statistical analysis was performed using IBM SPSS Statistics, version 26.0. Data normality was verified using the Anderson-Darling test. Homogeneity of variances was assessed using Levene’s test. Analysis of variance was applied to evaluate the effects of year and treatment at the significance level p<0.05 and p<0.01, followed by Tukey’s (Honestly Significant Difference) post hoc test for mean comparision. The values obtained for the productive and qualitative properties of okra are presented graphically as averages for the research period. In addition, Pearson’s correlation was conducted, which was represented via a heat map using the GraphPad Prism 11.0.0 program (trial version) to determine the relationship between the studied properties of okra.
The vertical trend in total phenols indicates minimal variance and high homogeneity of experimental data for this parameter (p<0.005). Such uniformity indicates a high stability of the parameter in the tested conditions, regardless of the applied treatments (Table 2).

Table 2: Anderson-Darling test for determining the normal distribution of data (Gaussian distribution).


       
It was determined that the data for all examined parameters follow a normal distribution, given that the values are within the 95% confidence interval and follow the trend line.
       
The analysis of variance revealed that year, treatment and their interaction had a statistically significant effect on yield per plant (Table 3, Fig 4). The highest average yield was observed in the second year of the study under the MAB and PBP treatments, which yielded 129.20 g/plant and 121.16 g/plant, respectively. The MAB treatment exhibited the most pronounced growth intensity, increasing by 119.17% in 2025. Similarly, the MBB treatment (80.82 g/plant) nearly doubled its output (95.17%), while the PBP treatment showed a substaintial increase of 68.51%. In contrast, the control treatment had the lowest yields in both examined years (below 40 g/plant) and showed a negative trend (15.67%) in 2025.

Table 3: Analysis of variance and the significance of factors influencing yield per plant for the two-year research period (2024 and 2025).



Fig 4: Average value for yield per plant (g) across different treatments during the years of research.


       
The MAB treatment showed the most significant increase, from 58.90 g/plant in 2024 to 129.20 g/plant in 2025 (Fig 4). Some studies have demonstrated that foliar application of microalgae-based biostimulants significantly increases productivity and plant growth of tomato, cucumber and lettuce (Barone et al., 2019). The results clearly show that the application of biostimulants of natural origin yields significantly better results than the control under greenhouse conditions with extremely high temperatures (> 40°C). This is further supported by the fact that elevated temperatures and their fluctuations align with broader climate change trends in Serbia and Southeast Europe. The greatest increase in yield in MAB may be explained by improved root system development and increased resistance to heat stress, which is consistent with the mechanisms of action of alginic extracts (increased synthesis of cytokinins and auxin-like substances) (Kabato et al., 2025).
       
The analysis of variance revealed that year, treatment and their interaction had a statistically significant effect on the protein content of okra pods (Table 4, Fig 5). In the first year, the highest average protein content was observed in the MAB treatment (4.54%), whereas in the second year it was significantly lower (2.73%). In both research years, the control treatment had the lowest protein content (2.76% and 3.24%, respectively) compared to all other treatments. In 2024, the MBB treatment achieved the best result (4.08%). Analysis of okra pods shows that the year as an influencing factor significantly affects protein accumulation. The PBP treatment stood out in 2025, with a protein content increase of 57.51% compared to the 2024. In contrast, a decrease in protein content was observed in the MAB and MBB treatments (15.86% and 10.54%, respectively), which can be attributed to dilution effects resulting from the substantial increase in total pod weight. The elevated protein and nitrogen levels observed in the MAB, PBP and MBB treatments align with previous reports indicating that biostimulants enhance nitrogen concentration in okra pods, thereby improving overall fruit quality (Raza et al., 2024).

Table 4: Analysis of variance and the significance of factors influencing the protein content for the two-year research period (2024 and 2025).



Fig 5: Average value for protein (%) across different treatments during the years of research.


       
The analysis of variance revealed significant effects of the treatment factor and the year × treatment interaction on nitrogen content (Table 5). The MAB treatment showed the most significant impact in the first year, achieving a nitrogen content of 0.72%, which significantly decreased to 0.61% in the second year. In contrast, the MBB treatment proved to be the most stable, its results remain consistent regardless of the study year (0.65% and 0.66%), as illustrated by the blue line (Fig 6). In 2025, the PBP treatment stood out with a 58.14% increase in nitrogen content, indicating more intensive mobilisation of this element in okra pods. Conversely, during the year of maximum yield (2025), the MAB treatment showed a 15.28% decrease in nitrogen content, which can be explained by physiological dilution resulting from the sudden increase in okra pods weight.

Table 5: Analysis of variance and the significance of factors influencing nitrogen content for the two-year research period (2024 and 2025).



Fig 6: Average value for nitrogen (%) across different treatments during the years of research.


       
The analysis of variance showed that both year and treatment factors, as well as their interaction, had statistically significant impact on antioxidant activity (Table 6). As a key indicator of plant quality and stress resistance, antioxidant activity reached its higher value in 2025 under the PBP treatment (3.74 mg TE g-1 d.m.), while the MAB treatment showed the highest value in 2024 (3.71 mg TE g-1 d.m.). The MBB treatment proved to be the most stable. Although the MBB treatment did not yield “extreme” results, it offered the highest predictability across research years (Fig 7).

Table 6: Analysis of variance and the significance of factors influencing antioxidant activity for the two-year research period (2024 and 2025).



Fig 7: Average value for antioxidant activity (mg TE g-1 d.m.) across different treatments during the years of research.


       
In the control, a 25% decrease in antioxidant activity was observed in the second year, whereas the PBP treatment showed an increase of 26.78%. High stability for this parameter was observed in the MBB treatment, while the slight decrease recorded in the MAB treatment can likely be attributed to the plant’s physiological trade-off on maximising biomass production rather than secondary metabolite accumulation.
       
The analysis of variance showed that year, treatment and their interaction did not have a statistically significant effect on the total phenols of okra pods (Table 7). In 2024, the PBP treatment achieved the highest average total phenol content (8.22 mg GAE g-1 d.m.), while in 2025 comparable values were observed in both the MAB and PBP treatments. The most noticeable increase in this parameter over the two-year research period was observed in the MBB treatment (from 5.38 to 7.87 mg GAE g-1 d.m.). The environmental conditions in the second year particularly favoured phenol synthesis in the MBB treatment, potentially explaining the increased and stable antioxidant activity in that year (Fig 8). While the differences in phenolic content did not reach statistical significance in this study, the literature generally suggests that foliar biostimulant application enhances phenol levels in various vegetable species (Caruso et al., 2019).

Table 7: Analysis of variance and the significance of factors influencing total phenols for the two-year research period (2024 and 2025).



Fig 8: Average value for total phenols (mg GAE g-1 d.m.) across different treatments during the years of research.


       
Phenols are secondary metabolites that play a crucial role in plant defence against abiotic stress, UV radiation and pathogens and are the primary drivers of antioxidant capacity. Although visual differences between treatments were observed (Fig 8), the high degree of variability within the samples precluded the confirmation of a statistically significant influence of either treatment or year on this parameter (Table 7).
       
The correlation heatmap (Fig 9) shows the strength and direction of linear association between yield per plant and biochemical parameters of okra pods. A strong positive correlation was found between protein content and nitrogen. Since nitrogen is a key component of amino acids, its accumulation directly parallels protein synthesis. Furthermore, a significant relationship between protein content and antioxidant activity suggests that treatments enhancing protein levels also tend to exhibit increased antioxidant capacity. A moderately strong correlation was found between antioxidant activity and yield per plant, whereas total phenols exhibited the weakest correlation with all other parameters. While there is a positive correlation between yield per plant and nitrogen, the weak correlation suggests that nitrogen, though important, is not the only factor influencing overall plant productivity in this study.

Fig 9: Heatmap for yield per plant and biochemical parameters of okra pods.


       
The results of this research demonstrate that PBP and MAB treatments were the most effective, as they facilitated a multiple increase in yield in 2025 but also preserving or significantly enhancing nutritional parameters, specifically protein and nitrogen contents. These improvements in okra yield and quality align with previous research indicating that biostimulants regulate physiological processes via hormonal signaling and enhanced nutrient absorption (Johnson et al., 2023). These results underscore that biostimulants offer a sustainable and eco-friendly alternative to conventional mineral fertilizers, significantly boosting okra’s resilience to abiotic stresses such as extreme temperatures and declining soil fertility (Fernandes et al., 2023). This enhanced adaptability mirrors observations in tomato plants, where biostimulants have been shown to improve tolerance to heat stress by strengthening antioxidant defense systems and maintaining nutritional quality (Francesca et al., 2020).
       
The 2025 year underscored the dual benefits of the applied biostimulants, most notably the MAB and PBS treatments; they not only increased the yield, but also substantially enhanced fruit quality. Among the treatments, the PBP treatment emerged as the most balanced and effective, concurrently increasing yield, protein levels, nitrogen content and antioxidant activity. Conversely, the MBB treatment had a notable effect on increasing phenolic compounds by 46.28%, thereby significantly increasing the fruit’s functional value during the second year. These findings confirm that through the strategic selection of biostimulants, it is possible to simultaneously optimize both crop productivity and nutritional profiles, even within highly variable agroecological environments.
Two-year study demonstrates that biostimulant application, particularly MAB and PBP, holds significant potential for enhancing okra productivity under thermal stress within protected environments. Notably, the MBB treatment emerged as a key factor in maintaining stability of quality parameters. Findings highlight the potential of these biostimulants to partially substitute mineral fertilizers, thereby promoting environmental sustainability and enhancing plants’ physiological resistance to abiotic stress. These results support the integration of biostimulants into standard agrotechnical practices; however, further research is warranted to optimize dosages and application timing across diverse soil types and climatic conditions.
This research was supported by the Ministry of Science, Technological Development and Innovation (No. 451-03-33/2026-03/ 200216 and 451-03-33/2026-03/ 200054). Our study aligns with the United Nations 2030 Agenda for Sustainable Development, specifically with Goal 2: Zero Hunger.
 
Disclaimers
 
The views and conclusions expressed in this article are solely those of the authors and do not necessarily represent the views of their affiliated institutions. The authors are responsible for the accuracy and completeness of the information provided, but do not accept any liability for any direct or indirect losses resulting from the use of this content.
 
Informed consent
 
Not applicable.
The authors declare that there are no conflicts of interest regarding the publication of this article. No funding or sponsorship influenced the design of the study, data collection, analysis, decision to publish, or preparation of the manuscript.

  1. AOAC International. (2006). Official Methods of Analysis of AOAC International (18th ed.). AOAC International.

  2. Barone, V., Puglisi, I., Fragalà, F., Stevanato, P. and Baglieri, A. (2019). Effect of lliving cells of microalgae or their extracts on soil enzyme activities. Archives of Agronomy and Soil Science. 65: 712-726. https://doi.org/10.1080/ 03650340.2018.1521513. 

  3. Belkhodja, L., López, F.C., Sánchez, V.C., Belkhodja, M. and Pérez- Tornero, O. (2026). Effects of benzylaminopurine on  in vitro proliferation and shoot growth of okra [Abelmoschus esculentus (L.) Moench]. Legume Research. 1-7. doi: 10.18805/LRF-912.

  4. Caruso, G., De Pascale, S., Cozzolino, E., Cuciniello, A., Cenvinzo, V., Bonini, P. and Colla, G. (2019). Yield and nutritional quality of vesuvian piennolo tomato PDO as affected by farming system and biostimulant application. Agronomy. 9(9): 505. https://doi.org/10.3390/agronomy9090505.

  5. Fernandes, S., Polyzos, N., Mandim, F., Pereira, C., Petrović, J., Soković, M. and Petropoulos, S.A. (2023). Combined effect of biostimulants and mineral fertilizers on crop performance and fruit quality of watermelon plants. Horticulturae. 9(7): 838. https://doi.org/10.3390/ horticulturae9070838.

  6. Fiorentino, S., Bellani, L., Santin, M., Castagna, A., Echeverria, M.C. and Giorgetti, L. (2025). Effects of microalgae as biostimulants on plant growth, content of antioxidant molecules and total antioxidant capacity in Chenopodium quinoa exposed to salt stress. Plants. 14(6): 781. https:// doi.org/10.3390/plants14060781.

  7. Francesca, S., Arena, C., Hay Mele, B., Schettini, C., Ambrosino, P., Barone, A. and Rigano, M.M. (2020). The use of a plant-based biostimulant improves plant performances and fruit quality in tomato plants grown at elevated temperatures. Agronomy. 10(3): 363. https://doi.org/ 10.3390/agronomy10030363.

  8. Gaur, S.S., Raveendran, A., Athulya, A. et al. (2025). Exploring the nutritional, pharmacological and industrial potential of okra and its byproducts: A comprehensive review. Discovery Food. 5: 251. https://doi.org/10.1007/s44187- 025-00492-6.

  9. Johnson, R., Joel, J.M. and Puthur, J.T. (2023). Biostimulants: The futuristic sustainable approach for alleviating crop productivity and abiotic stress tolerance. Journal of Plant Growth Regulation. 43(3): 659-674. https://doi.org/ 10.1007/s00344-023-11144-3.

  10. Kabato, W.S., Hailegnaw, N.S., Chaffamo, T.E., Samuel, A., De Silva, A.G. and Molnár, Z. (2025). Microalgae-based strategies for soil health and crop productivity: Mechanisms, challenges and pathways to climate-resilient agriculture. Agronomy. 15(11): 2669. https://doi.org/10.3390/agronomy 15112669.

  11. Krishnakumar, K., Rajeena, P. and Veena V. (2018). Study on diversity of foliar trichomes in thirty accessions of okra [Abelmoschus esculentus (L.) Moench.]. Indian Journal of Agricultural Research. 52(4): 439-443. doi: 10.18805/IJARe.A-4857.

  12. Molyneux, P. (2004). The use of the stable free radical diphenylpicrylhydrazyl (DPPH) for estimating antioxidant activity. Songklanakarin Journal of Science and Technology. 26(2): 211-219.

  13. Nagegowda, N.S. and Senthivel, T. (2021). Effect of fertigation and mulching on root studies and crop growth indices for seed production in okra [Abelmoschus esculentus (L.) Moench]. Agricultural Science Digest. 41(1): 71-75. doi: 10.18805/ag.D-5145.

  14. Platzer, M., Kiese, S., Tybussek, T., Herfellner, T., Schneider, F., Schweiggert-Weisz, U. and Eisner, P. (2022). Radical scavenging mechanisms of phenolic compounds: A quantitative structure-property relationship (QSPR) study. Frontiers in Nutrition. 9: 882458. https://doi.org/10.3389/ fnut.2022.882458.

  15. Rajičić, V., Terzić, D., Šević, B., Ugrinović, M., Tupajić, I., Luković, K. and Stojiljković, J. (2025). Sustainable wheat production system under the influence of different fertilizers and climatic conditions. Chilean Journal of Agricultural Research. 85(4): 529-538. https://doi.org/10.4067/ S0718-58392025000400529.

  16. Ranga, A.D., Kumar, S. and Darvhankar, M.S. (2019). Variability parameters in okra (Abelmoschus esculentus L.)- A review. Agricultural Reviews. 40(1): 75-78. doi: 10.18805/ag.R-1852.

  17. RHMZ, (2026). www.hidmet.cov.rs, accessed February 2026.

  18. Raza, Q., Rehim, A., Bashir, M. A., Duan, M., Geng, Y. and Alrefaei. A.F. (2024). Improving okra performance: Biostimulants and their influence on yield, quality, physiology and nutrient composition. Phyton-International Journal of Experimental Botany. 93(12): 3531-3548. https://doi.org/ 10.32604/phyton.2024.057356.

  19. Singleton, V.L. and Rossi, J.A. (1965). Colorimetry of total phenolics with phosphomolybdic-phosphotungstic acid reagents. American Journal of Enology and Viticulture. 16: 144- 158.

  20. Sutherland, D.L., McCauley, J., Labeeuw, L., Ray, P., Kuzhiumparambil, U., Hall, C. and Ralph, P.J. (2021). How microalgal biotechnology can assist with the UN Sustainable Development Goals for natural resource management. Current Research in Environmental Sustainability. 3: 100050. https://doi.org/10.1016/j.crsust.2021.100050.

  21. Sević, B., Dolijanović, Ž., Bajagić, M., Rajičić, V., Tupajić, I., Cvijanović, V. and Stojiljković, J. (2025). Cover crops as a tool for improving the nutritional properties and antioxidant activity of kernel sweet corn. Romanian Agricultural Research. 42: 883-894. https://doi.org/10.59665/rar4275.

Biochemical and Productive Responses of Okra to Selected Biostimulants

J
Jelena Stojiljković1,*
B
Biljana Šević1
D
Dragana Stevanović2
A
Aleksandra Rakonjac1
D
Darko Jovanović1
M
Milan Ugrinović1
E
Emhemed Abourawi Daw3
I
Ivan Tupajić1
1Institute for Vegetable Crops Smederevska Palanka, Karađorđeva 71, 11420 Smederevska Palanka, Serbia.
2“Tamiš” Research and Development Institute, 26000 Pančevo, Serbia.
3Faculty of Agriculture-University of Bani Waleed, Bani Waleed, Libya.
  • Submitted20-04-2026|

  • Accepted09-06-2026|

  • First Online 23-06-2026|

  • doi 10.18805/LRF-956

Background: Although okra [Abelmoschus esculentus (L.) Moench] is a thermophilic species that thrives in warm climates, it remains highly vulnerable to abiotic stress. This study aimed to evaluate the effectiveness of three biostimulants of natural origin as sustainable alternatives to chemical fertilizers for greenhouse production under high summer temperatures.

Methods: A two-year trial (2024 and 2025) was set up in the Institute for Vegetable Crops Smederevska Palanka on the okra. Fifteen days after planting treatments were applied weekly using both foliar application and fertigation methods. Yield per plant, protein content, nitrogen content, antioxidant activity and total phenols were measured.

Result: Biostimulants application significantly increased the yield (p<0.05), with the MAB treatment showing the most significant efect (129.20 g/plant in 2025), followed by PBP (121.16 g/plant) and MBB (80.82 g/plant) compared to the control (<40 g/plant). The highest protein and nitrogen content were observed in the MAB and MBB groups. Antioxidant activity was highest in PBP treatment (3.74 mg TE g-1 d.m. in 2025), followed by MAB (3.71 mg TE g-1 d.m. in 2024). The interaction of year × treatment was significant for all measured parameters, except for total phenols.

In the context of intensifying climate change and growing global food demands, sustainable agriculture has become increasingly important (Rajičić et al., 2025). Unsustainable agricultural management, the excessive application of mineral fertilizers and the impacts of climate change have led to soil and water contamination (Nagegowda and Senthivel, 2021; Sević et al., 2025). In this regard, microalgal biotechnology, alongside fertilizers derived from plant extracts and natural minerals, represent a promising approach for achieving sustainable development goals (Sutherland et al., 2021). Biostimulants based on microalgae, plant extracts and natural minerals improve the biological, chemical and physical characteristics of the soil, facilitating plant development and nutrient cycling (Fiorentino et al., 2025).
       
Although the precise geographical origin of okra  remains a subject of ongoing debate (Ranga et al., 2019), okra is currently cultivated worldwide in tropical, subtropical and warm-temperate regions. Okra represent a nutrient-rich and economically profitable plant species (Krishnakumar et al., 2018; Gaur et al., 2025; Belkhodja et al., 2026). Recent studies by Platzer et al., (2022) have confirmed that phenolic compounds, primarily quaternary derivates, catechin oligomers and hydroxycinnamic acid derivates, have a preventive effects and a positive impact on the antioxidant status of plants.
 
The goal of the work
 
The goal of this research was to evaluate the effects of biostimulants derived from microalgae, plant extracts and natural minerals as sustainable alternatives to conventional mineral fertilizers on okra yield and chemical properties.
 
Novelty of the work
 
Most studies focus on the potential of microalgae at the laboratory level, without addressing the practical challenges of integrating them into existing agricultural systems. The application of micro and macroalgae based preparations in agriculture has been investigated on vegetable species, while the effects of these preparations are not as well known and investigated on the growth and development of okra.
The location of the survey and the plant material
 
A two-year trial was conducted 2024 and 2025 as a follow-up crop under production conditions in a greenhouse. The okra genotype Nana was used as plant material. Seedlings were transplanted onto mulch foil. There was a 100 cm distance between the two mulch foils, intended for a path. Two rows of plants were formed on the mulch foil, which were 20 cm apart, while the distance between the plants in the row was 25 cm.
       
The experiment was set up in the greenhouse of the Institute for Vegetable Crops Smederevska Palanka, Serbia. Before starting the experiment, the soil’s nutrient availability and mechanical composition (Table 1) were determined in the laboratory.

Table 1: Characteristics of the soil in the sample plot.


       
The soil has the highest clay content (49.3%), a slightly acidic pH (6.1) and high levels of accessible P2O5 and K2O (> 40).
 
Biostimulant treatments
 
In the experiment, three treatments with biostimulants of natural origin and a control without application were applied (7-day intervals, starting on the 15th day post-transplant):
1. Control- without biostimulant application.
2. MAB- New generation biostimulant obtained by enzymatic hydrolysis of microalgae. The commercial name of the biostimulant is Algafert, (Biorizon Biotech, Almeria, Spain). The application was carried out foliarly and by watering in a concentration of 30 ml per 10 l of water.
3. PBP- Plant extracts containing phenolic compounds and substances with phytohormone effect. The commercial name of the preparation is Traiko, (Kobilje, Braničevski district, Serbia). The application was carried out foliarly and by watering at a concentration of 375 ml per 10 l of water.
4. MBB- Natural mineral fertiliser based on calcium, magnesium and boron. The commercial name of the preparation is Mineral Forte Plus (Azertrade d.o.o. Novi Sad, Serbia).  The application was carried out foliarly and by watering in a concentration of 20 g per 10 l of water.
 
Experiment design and agrotechnical measures
 
The experiment was set up in a completely randomized block design with 3 replications of 120 plants each.
       
Standard agrotechnical practices were applied throughout the growing season, including drip irrigation and integrated pest and diseases management. Yield per plant, along with protein and nitrogen content, antioxidant activity and total phenol content, were also measured.

Environmental conditions
 
Air temperature (°C) and relative air humidity (RH %) were measured daily using a testo 608-H1 digital thermohygrometer (LGG, Romania).
       
Daily measurements revealed that average greenhouse temperatures in 2025 ranged from 17°C in October to 32°C in July, while in 2024 they were slightly higher and ranged from 21.1°C (October) to 35.1°C (July), (Fig 1). Maximum temperatures occasionally exceeded 40°C in July and August in both years.

Fig 1: Average air temperature and relative humidity in the greenhouse (2024 and 2025).


       
To assess the outdoor meteorological conditions during the study period, average air temperature and relative humidity data were obtained from the Smederevska Palanka weather station.
       
Air temperatures in both study years were significantly higher than the long-term average (1991-2020), characterized by pronounced fluctuations both between months and across years (Fig 2). Relative air humidity also exhibited significant fluctuations between months and years.

Fig 2: Average outdoor air temperature and relative humidity (2024 and 2025) compared to the multi-year average (1991-2020).


       
Data from 2024 and 2025 demonstrate the intensifying meteorological variability in the region (RHMZ, 2026) and these conditions, which align with global trends of accelerated warming, necessitate the adaptation of agrotechnical measures to mitigate adverse effects on the growth and development of cultivated crops.
 
Sample preparation and laboratory analysis
 
Okra pod samples were collected from each plot (replication) during both growing seasons at full market maturity. The plant material was dried, ground and prepared for analysis (Fig 3).

Fig 3: Plant material and laboratory analysis (Source: Author’s).


       
The protein content was determined on fresh okra pod samples using the Kjeldahl method (AOAC, 2006).
       
Antioxidant activity was evaluated using a modified DPPH method and the measured values are shown in mg TE g-1 d.m (Molyneux, 2004).
       
Total phenols were determined using the Folin-Ciocalteu method and values are expressed in mg GAE g-1 d.m (Singleton and Rossi, 1965).
 
Statistical data analysis
 
Statistical analysis was performed using IBM SPSS Statistics, version 26.0. Data normality was verified using the Anderson-Darling test. Homogeneity of variances was assessed using Levene’s test. Analysis of variance was applied to evaluate the effects of year and treatment at the significance level p<0.05 and p<0.01, followed by Tukey’s (Honestly Significant Difference) post hoc test for mean comparision. The values obtained for the productive and qualitative properties of okra are presented graphically as averages for the research period. In addition, Pearson’s correlation was conducted, which was represented via a heat map using the GraphPad Prism 11.0.0 program (trial version) to determine the relationship between the studied properties of okra.
The vertical trend in total phenols indicates minimal variance and high homogeneity of experimental data for this parameter (p<0.005). Such uniformity indicates a high stability of the parameter in the tested conditions, regardless of the applied treatments (Table 2).

Table 2: Anderson-Darling test for determining the normal distribution of data (Gaussian distribution).


       
It was determined that the data for all examined parameters follow a normal distribution, given that the values are within the 95% confidence interval and follow the trend line.
       
The analysis of variance revealed that year, treatment and their interaction had a statistically significant effect on yield per plant (Table 3, Fig 4). The highest average yield was observed in the second year of the study under the MAB and PBP treatments, which yielded 129.20 g/plant and 121.16 g/plant, respectively. The MAB treatment exhibited the most pronounced growth intensity, increasing by 119.17% in 2025. Similarly, the MBB treatment (80.82 g/plant) nearly doubled its output (95.17%), while the PBP treatment showed a substaintial increase of 68.51%. In contrast, the control treatment had the lowest yields in both examined years (below 40 g/plant) and showed a negative trend (15.67%) in 2025.

Table 3: Analysis of variance and the significance of factors influencing yield per plant for the two-year research period (2024 and 2025).



Fig 4: Average value for yield per plant (g) across different treatments during the years of research.


       
The MAB treatment showed the most significant increase, from 58.90 g/plant in 2024 to 129.20 g/plant in 2025 (Fig 4). Some studies have demonstrated that foliar application of microalgae-based biostimulants significantly increases productivity and plant growth of tomato, cucumber and lettuce (Barone et al., 2019). The results clearly show that the application of biostimulants of natural origin yields significantly better results than the control under greenhouse conditions with extremely high temperatures (> 40°C). This is further supported by the fact that elevated temperatures and their fluctuations align with broader climate change trends in Serbia and Southeast Europe. The greatest increase in yield in MAB may be explained by improved root system development and increased resistance to heat stress, which is consistent with the mechanisms of action of alginic extracts (increased synthesis of cytokinins and auxin-like substances) (Kabato et al., 2025).
       
The analysis of variance revealed that year, treatment and their interaction had a statistically significant effect on the protein content of okra pods (Table 4, Fig 5). In the first year, the highest average protein content was observed in the MAB treatment (4.54%), whereas in the second year it was significantly lower (2.73%). In both research years, the control treatment had the lowest protein content (2.76% and 3.24%, respectively) compared to all other treatments. In 2024, the MBB treatment achieved the best result (4.08%). Analysis of okra pods shows that the year as an influencing factor significantly affects protein accumulation. The PBP treatment stood out in 2025, with a protein content increase of 57.51% compared to the 2024. In contrast, a decrease in protein content was observed in the MAB and MBB treatments (15.86% and 10.54%, respectively), which can be attributed to dilution effects resulting from the substantial increase in total pod weight. The elevated protein and nitrogen levels observed in the MAB, PBP and MBB treatments align with previous reports indicating that biostimulants enhance nitrogen concentration in okra pods, thereby improving overall fruit quality (Raza et al., 2024).

Table 4: Analysis of variance and the significance of factors influencing the protein content for the two-year research period (2024 and 2025).



Fig 5: Average value for protein (%) across different treatments during the years of research.


       
The analysis of variance revealed significant effects of the treatment factor and the year × treatment interaction on nitrogen content (Table 5). The MAB treatment showed the most significant impact in the first year, achieving a nitrogen content of 0.72%, which significantly decreased to 0.61% in the second year. In contrast, the MBB treatment proved to be the most stable, its results remain consistent regardless of the study year (0.65% and 0.66%), as illustrated by the blue line (Fig 6). In 2025, the PBP treatment stood out with a 58.14% increase in nitrogen content, indicating more intensive mobilisation of this element in okra pods. Conversely, during the year of maximum yield (2025), the MAB treatment showed a 15.28% decrease in nitrogen content, which can be explained by physiological dilution resulting from the sudden increase in okra pods weight.

Table 5: Analysis of variance and the significance of factors influencing nitrogen content for the two-year research period (2024 and 2025).



Fig 6: Average value for nitrogen (%) across different treatments during the years of research.


       
The analysis of variance showed that both year and treatment factors, as well as their interaction, had statistically significant impact on antioxidant activity (Table 6). As a key indicator of plant quality and stress resistance, antioxidant activity reached its higher value in 2025 under the PBP treatment (3.74 mg TE g-1 d.m.), while the MAB treatment showed the highest value in 2024 (3.71 mg TE g-1 d.m.). The MBB treatment proved to be the most stable. Although the MBB treatment did not yield “extreme” results, it offered the highest predictability across research years (Fig 7).

Table 6: Analysis of variance and the significance of factors influencing antioxidant activity for the two-year research period (2024 and 2025).



Fig 7: Average value for antioxidant activity (mg TE g-1 d.m.) across different treatments during the years of research.


       
In the control, a 25% decrease in antioxidant activity was observed in the second year, whereas the PBP treatment showed an increase of 26.78%. High stability for this parameter was observed in the MBB treatment, while the slight decrease recorded in the MAB treatment can likely be attributed to the plant’s physiological trade-off on maximising biomass production rather than secondary metabolite accumulation.
       
The analysis of variance showed that year, treatment and their interaction did not have a statistically significant effect on the total phenols of okra pods (Table 7). In 2024, the PBP treatment achieved the highest average total phenol content (8.22 mg GAE g-1 d.m.), while in 2025 comparable values were observed in both the MAB and PBP treatments. The most noticeable increase in this parameter over the two-year research period was observed in the MBB treatment (from 5.38 to 7.87 mg GAE g-1 d.m.). The environmental conditions in the second year particularly favoured phenol synthesis in the MBB treatment, potentially explaining the increased and stable antioxidant activity in that year (Fig 8). While the differences in phenolic content did not reach statistical significance in this study, the literature generally suggests that foliar biostimulant application enhances phenol levels in various vegetable species (Caruso et al., 2019).

Table 7: Analysis of variance and the significance of factors influencing total phenols for the two-year research period (2024 and 2025).



Fig 8: Average value for total phenols (mg GAE g-1 d.m.) across different treatments during the years of research.


       
Phenols are secondary metabolites that play a crucial role in plant defence against abiotic stress, UV radiation and pathogens and are the primary drivers of antioxidant capacity. Although visual differences between treatments were observed (Fig 8), the high degree of variability within the samples precluded the confirmation of a statistically significant influence of either treatment or year on this parameter (Table 7).
       
The correlation heatmap (Fig 9) shows the strength and direction of linear association between yield per plant and biochemical parameters of okra pods. A strong positive correlation was found between protein content and nitrogen. Since nitrogen is a key component of amino acids, its accumulation directly parallels protein synthesis. Furthermore, a significant relationship between protein content and antioxidant activity suggests that treatments enhancing protein levels also tend to exhibit increased antioxidant capacity. A moderately strong correlation was found between antioxidant activity and yield per plant, whereas total phenols exhibited the weakest correlation with all other parameters. While there is a positive correlation between yield per plant and nitrogen, the weak correlation suggests that nitrogen, though important, is not the only factor influencing overall plant productivity in this study.

Fig 9: Heatmap for yield per plant and biochemical parameters of okra pods.


       
The results of this research demonstrate that PBP and MAB treatments were the most effective, as they facilitated a multiple increase in yield in 2025 but also preserving or significantly enhancing nutritional parameters, specifically protein and nitrogen contents. These improvements in okra yield and quality align with previous research indicating that biostimulants regulate physiological processes via hormonal signaling and enhanced nutrient absorption (Johnson et al., 2023). These results underscore that biostimulants offer a sustainable and eco-friendly alternative to conventional mineral fertilizers, significantly boosting okra’s resilience to abiotic stresses such as extreme temperatures and declining soil fertility (Fernandes et al., 2023). This enhanced adaptability mirrors observations in tomato plants, where biostimulants have been shown to improve tolerance to heat stress by strengthening antioxidant defense systems and maintaining nutritional quality (Francesca et al., 2020).
       
The 2025 year underscored the dual benefits of the applied biostimulants, most notably the MAB and PBS treatments; they not only increased the yield, but also substantially enhanced fruit quality. Among the treatments, the PBP treatment emerged as the most balanced and effective, concurrently increasing yield, protein levels, nitrogen content and antioxidant activity. Conversely, the MBB treatment had a notable effect on increasing phenolic compounds by 46.28%, thereby significantly increasing the fruit’s functional value during the second year. These findings confirm that through the strategic selection of biostimulants, it is possible to simultaneously optimize both crop productivity and nutritional profiles, even within highly variable agroecological environments.
Two-year study demonstrates that biostimulant application, particularly MAB and PBP, holds significant potential for enhancing okra productivity under thermal stress within protected environments. Notably, the MBB treatment emerged as a key factor in maintaining stability of quality parameters. Findings highlight the potential of these biostimulants to partially substitute mineral fertilizers, thereby promoting environmental sustainability and enhancing plants’ physiological resistance to abiotic stress. These results support the integration of biostimulants into standard agrotechnical practices; however, further research is warranted to optimize dosages and application timing across diverse soil types and climatic conditions.
This research was supported by the Ministry of Science, Technological Development and Innovation (No. 451-03-33/2026-03/ 200216 and 451-03-33/2026-03/ 200054). Our study aligns with the United Nations 2030 Agenda for Sustainable Development, specifically with Goal 2: Zero Hunger.
 
Disclaimers
 
The views and conclusions expressed in this article are solely those of the authors and do not necessarily represent the views of their affiliated institutions. The authors are responsible for the accuracy and completeness of the information provided, but do not accept any liability for any direct or indirect losses resulting from the use of this content.
 
Informed consent
 
Not applicable.
The authors declare that there are no conflicts of interest regarding the publication of this article. No funding or sponsorship influenced the design of the study, data collection, analysis, decision to publish, or preparation of the manuscript.

  1. AOAC International. (2006). Official Methods of Analysis of AOAC International (18th ed.). AOAC International.

  2. Barone, V., Puglisi, I., Fragalà, F., Stevanato, P. and Baglieri, A. (2019). Effect of lliving cells of microalgae or their extracts on soil enzyme activities. Archives of Agronomy and Soil Science. 65: 712-726. https://doi.org/10.1080/ 03650340.2018.1521513. 

  3. Belkhodja, L., López, F.C., Sánchez, V.C., Belkhodja, M. and Pérez- Tornero, O. (2026). Effects of benzylaminopurine on  in vitro proliferation and shoot growth of okra [Abelmoschus esculentus (L.) Moench]. Legume Research. 1-7. doi: 10.18805/LRF-912.

  4. Caruso, G., De Pascale, S., Cozzolino, E., Cuciniello, A., Cenvinzo, V., Bonini, P. and Colla, G. (2019). Yield and nutritional quality of vesuvian piennolo tomato PDO as affected by farming system and biostimulant application. Agronomy. 9(9): 505. https://doi.org/10.3390/agronomy9090505.

  5. Fernandes, S., Polyzos, N., Mandim, F., Pereira, C., Petrović, J., Soković, M. and Petropoulos, S.A. (2023). Combined effect of biostimulants and mineral fertilizers on crop performance and fruit quality of watermelon plants. Horticulturae. 9(7): 838. https://doi.org/10.3390/ horticulturae9070838.

  6. Fiorentino, S., Bellani, L., Santin, M., Castagna, A., Echeverria, M.C. and Giorgetti, L. (2025). Effects of microalgae as biostimulants on plant growth, content of antioxidant molecules and total antioxidant capacity in Chenopodium quinoa exposed to salt stress. Plants. 14(6): 781. https:// doi.org/10.3390/plants14060781.

  7. Francesca, S., Arena, C., Hay Mele, B., Schettini, C., Ambrosino, P., Barone, A. and Rigano, M.M. (2020). The use of a plant-based biostimulant improves plant performances and fruit quality in tomato plants grown at elevated temperatures. Agronomy. 10(3): 363. https://doi.org/ 10.3390/agronomy10030363.

  8. Gaur, S.S., Raveendran, A., Athulya, A. et al. (2025). Exploring the nutritional, pharmacological and industrial potential of okra and its byproducts: A comprehensive review. Discovery Food. 5: 251. https://doi.org/10.1007/s44187- 025-00492-6.

  9. Johnson, R., Joel, J.M. and Puthur, J.T. (2023). Biostimulants: The futuristic sustainable approach for alleviating crop productivity and abiotic stress tolerance. Journal of Plant Growth Regulation. 43(3): 659-674. https://doi.org/ 10.1007/s00344-023-11144-3.

  10. Kabato, W.S., Hailegnaw, N.S., Chaffamo, T.E., Samuel, A., De Silva, A.G. and Molnár, Z. (2025). Microalgae-based strategies for soil health and crop productivity: Mechanisms, challenges and pathways to climate-resilient agriculture. Agronomy. 15(11): 2669. https://doi.org/10.3390/agronomy 15112669.

  11. Krishnakumar, K., Rajeena, P. and Veena V. (2018). Study on diversity of foliar trichomes in thirty accessions of okra [Abelmoschus esculentus (L.) Moench.]. Indian Journal of Agricultural Research. 52(4): 439-443. doi: 10.18805/IJARe.A-4857.

  12. Molyneux, P. (2004). The use of the stable free radical diphenylpicrylhydrazyl (DPPH) for estimating antioxidant activity. Songklanakarin Journal of Science and Technology. 26(2): 211-219.

  13. Nagegowda, N.S. and Senthivel, T. (2021). Effect of fertigation and mulching on root studies and crop growth indices for seed production in okra [Abelmoschus esculentus (L.) Moench]. Agricultural Science Digest. 41(1): 71-75. doi: 10.18805/ag.D-5145.

  14. Platzer, M., Kiese, S., Tybussek, T., Herfellner, T., Schneider, F., Schweiggert-Weisz, U. and Eisner, P. (2022). Radical scavenging mechanisms of phenolic compounds: A quantitative structure-property relationship (QSPR) study. Frontiers in Nutrition. 9: 882458. https://doi.org/10.3389/ fnut.2022.882458.

  15. Rajičić, V., Terzić, D., Šević, B., Ugrinović, M., Tupajić, I., Luković, K. and Stojiljković, J. (2025). Sustainable wheat production system under the influence of different fertilizers and climatic conditions. Chilean Journal of Agricultural Research. 85(4): 529-538. https://doi.org/10.4067/ S0718-58392025000400529.

  16. Ranga, A.D., Kumar, S. and Darvhankar, M.S. (2019). Variability parameters in okra (Abelmoschus esculentus L.)- A review. Agricultural Reviews. 40(1): 75-78. doi: 10.18805/ag.R-1852.

  17. RHMZ, (2026). www.hidmet.cov.rs, accessed February 2026.

  18. Raza, Q., Rehim, A., Bashir, M. A., Duan, M., Geng, Y. and Alrefaei. A.F. (2024). Improving okra performance: Biostimulants and their influence on yield, quality, physiology and nutrient composition. Phyton-International Journal of Experimental Botany. 93(12): 3531-3548. https://doi.org/ 10.32604/phyton.2024.057356.

  19. Singleton, V.L. and Rossi, J.A. (1965). Colorimetry of total phenolics with phosphomolybdic-phosphotungstic acid reagents. American Journal of Enology and Viticulture. 16: 144- 158.

  20. Sutherland, D.L., McCauley, J., Labeeuw, L., Ray, P., Kuzhiumparambil, U., Hall, C. and Ralph, P.J. (2021). How microalgal biotechnology can assist with the UN Sustainable Development Goals for natural resource management. Current Research in Environmental Sustainability. 3: 100050. https://doi.org/10.1016/j.crsust.2021.100050.

  21. Sević, B., Dolijanović, Ž., Bajagić, M., Rajičić, V., Tupajić, I., Cvijanović, V. and Stojiljković, J. (2025). Cover crops as a tool for improving the nutritional properties and antioxidant activity of kernel sweet corn. Romanian Agricultural Research. 42: 883-894. https://doi.org/10.59665/rar4275.
In this Article
Published In
Legume Research

Editorial Board

View all (0)