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Review

Unlocking the Potential of Biostimulants: A Review of Classification, Mode of Action, Formulations, Efficacy, Mechanisms, and Recommendations for Sustainable Intensification

by
Unius Arinaitwe
1,*,
Dalitso Noble Yabwalo
1 and
Abraham Hangamaisho
2
1
Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD 57007, USA
2
Department of Plant Pathology, North Dakota State University, Fargo, ND 58102, USA
*
Author to whom correspondence should be addressed.
Int. J. Plant Biol. 2025, 16(4), 122; https://doi.org/10.3390/ijpb16040122
Submission received: 16 September 2025 / Revised: 17 October 2025 / Accepted: 24 October 2025 / Published: 26 October 2025
(This article belongs to the Section Plant Response to Stresses)

Abstract

The escalating challenges of climate change, soil degradation, and the need to ensure global food security are driving the transition towards more sustainable agricultural practices. Biostimulants, a diverse category of substances and microorganisms, have emerged as promising tools to enhance crop resilience, improve nutrient use efficiency (NUE), and support sustainable intensification. However, their widespread adoption is hampered by significant variability in efficacy and a lack of consensus on their optimal use. This comprehensive review synthesizes current scientific knowledge to critically evaluate the performance of biostimulants within sustainable agricultural systems. It aims to move beyond isolated case studies to provide a holistic analysis of their modes of action, efficacy under stress, and interactions with the environment. The analysis confirms that biostimulant efficacy is inherently context-dependent, governed by a complex interplay of biological, environmental, and management factors. Performance variability is explained by four core principles: the Limiting Factor Principle, the Biological Competition Axiom, the Stress Gradient Hypothesis, and the Formulation and Viability Imperative. A significant disconnect exists between promising controlled-environment studies and variable field results, highlighting the danger of extrapolating data without accounting for real-world agroecosystem complexity. Biostimulants are not universal solutions but are sophisticated tools whose value is realized through context-specific application. Their successful integration requires a precision-based approach aligned with specific agronomic challenges. We recommend that growers adopt diagnostic tools and on-farm trials, while producers must provide transparent multi-location field data and invest in advanced formulations. Future research must prioritize field validation, mechanistic studies using omics tools, and the development of crop-specific protocols and industry-wide standards to fully unlock the potential of biostimulants for building resilient and productive agricultural systems.

1. Introduction

Human societies transitioned from foraging to settled agriculture, selectively cultivating crops to support growing populations. Today, global cropland spans over 1.5 billion hectares, intensifying pressure to meet escalating food demand [1]. Climate change exacerbates these challenges through desertification, flooding, salinity, and heightened disease pressure, compelling reliance on synthetic fertilizers and agrochemicals to maintain yields [2]. However, increasing awareness of environmental and health impacts, including soil degradation, water pollution, and biodiversity loss, has shifted focus toward regenerative practices [3]. Agriculture now confronts a critical paradox: producing sufficient food for a projected global population of nearly 10 billion by 2050 while drastically reducing its ecological footprint [1,2,3]. This urgency is amplified by climate-induced abiotic stresses [2], and historical input-dependent farming models [3], necessitating innovative tools like biostimulants to reconcile productivity with sustainability.
In response, the agricultural sector has embraced more sustainable paradigms, including integrated pest management (IPM), regenerative agricultural practices, and organic production, reflecting a shift in both practice and market demand [4]. However, these systems often face a productivity gap compared to conventional agriculture and can struggle with reliable nutrient delivery and effectively manage pest suppression (insects, pathogens and weeds), particularly under stress conditions [5]. This limitation has unveiled a critical need for novel innovations that can consistently enhance crop resilience and resource efficiency without relying solely on conventional chemical inputs.
Agricultural biologicals amendments, particularly biostimulants (both living microbial organisms and non-living), have emerged as a promising category of inputs to address this need. Biostimulants are defined as substances or microorganisms or their synthetic derivatives that stimulate natural processes to enhance nutrient uptake, efficiency, abiotic stress tolerance, and/or crop quality traits, regardless of their nutrient content [6]. These biostimulants represent a paradigm shift in crop management [6]. The biostimulants concept dates to ancient farmer practices and early scientific discoveries of plant-microbe symbiosis in the 19th century, which has evolved into a rapidly expanding industry today [7]. This development is driven by consumer demand for sustainable food, stricter environmental regulations, new policies for clean air, water and environment particularly in the European Union, and the need for climate-resilient agriculture. The global bio stimulant market is now projected to reach USD 6–8 billion by 2030–2035, with a compound annual growth rate (CAGR) of 10–13% [8]. The biostimulants category encompasses a vast diversity of products, broadly classified as microbials to refer to being produced/processed from natural materials. The commonest examples include plant-growth-promoting rhizobacteria (PGPR), arbuscular mycorrhizal fungi (AMF) which encompass the “living”, while the non-microbials includes seaweed extracts, humic substances, and protein hydrolysates [9].
This very diversity has led to significant complexity and confusion regarding definitions, modes of action, and functional classifications, often blurring the lines with biofertilizers and biopesticides [10,11]. For growers, this confusion translates into a major practical barrier: the difficulty of selecting and using products effectively. A lack of understanding of specific modes of action makes product choice challenging [10,12]. For example, a symbiotic root microbial colonizer may need to be applied when there are a host plant and application to a non-host plant may result in relationship failure and therefore loss of function. This critically affects the efficacy of biostimulants, making it notoriously variable and highly dependent on a complex interplay of factors including environmental conditions, soil microbiota, crop species, application method and agronomic management [13]. A product demonstrating significant effects in one trial condition may show no effect in another, leading to inconsistent field results and eroding farmer confidence [9,10]. The common referred to failure example of biostimulants in the North Great Plains (NGP) of the United States is the multi-state trial on commercially available products on yield advancement and nitrogen reduction in common row crops which showed no response in more than 70% of the trials [14]. This variability suggests biostimulants are not simple “silver bullets” but tools whose success depends on a deep understanding of their interaction with the entire cropping system.
These practical challenges underscore critical knowledge gaps. There is a pressing need to move beyond isolated case studies and provide a synthesized, critical analysis of biostimulant performance across diverse environments. A comprehensive understanding of how their modes of action translate into efficacy under specific abiotic stresses, and how their activity is modulated by soil properties and amendments, is essential for guiding both research and farmer practical adoption. Therefore, this review aims to provide a systematic analysis of the biostimulants in Sustainable Agricultural Systems focusing on Performance, modes of action, efficacy under stress, and interactions with soil environments. Our specific objectives are to:
(1). Systematically classify biostimulants based on their biological sources and primary functional mechanisms. (2). Critically assess their documented efficacy in mitigating major abiotic and biotic stresses and enhancing nutrient use efficiency. (3). Analyze the environmental, biological, and managerial factors that drive their variable performance in agronomic settings. (4). Evaluate the interactions between biostimulants and soil physicochemical properties and common agricultural amendments. (5). Synthesize both positive and negative research findings to provide a balanced evidence base. (6). Provide evidence-based recommendations for their practical integration into sustainable crop production systems and identify key future research priorities.

2. Classification and Composition of Biostimulants

2.1. A Framework for Categorization

The application of substances to enhance plant growth predates scientific understanding, with ancient agricultural practices utilizing seaweed and their extracts, plant extracts, animal and bird manures to improve soil fertility and crop vigor [7]. Early scientific developments in biostimulants began to emerge in the late 19th century with the landmark discovery of nitrogen-fixing bacteria (Rhizobium spp.) by Hellriegel and Wilfarth in 1886, which laid the groundwork for microbial inoculants [6,15,16]. The mid-20th century saw systematic investigation of non-microbial sources, particularly seaweed extracts (Ascophyllum nodosum), for their ability to promote growth and stress tolerance beyond mere nutrient provision [16,17]. The term “biostimulant” gained currency in the 1980s and 1990s, coinciding with the commercialization of plant-growth-promoting microorganisms (PGPMs). Subsequent decades expanded the category to include humic substances, amino acids, protein hydrolysates, and other novel compounds, driven by advances in extraction technologies and a growing understanding of plant-microbe interactions [7,9,10].
The extraordinary diversity of biostimulants, ranging from live microbes to complex chemical mixtures, necessitates a clear classification system to understand their function and application. The most fundamental classification divides them into two overarching categories based on the nature of their active ingredient: microbial and non-microbial [6,10,18]. This dichotomy is crucial as it dictates the product’s mode of action, stability, handling requirements, and interaction with the environment. For example, living microorganisms in biostimulant needs food (source of energy) when in storage, and a live host to colonize when applied to the environment.
Microbial biostimulants consist of beneficial microorganisms that actively colonize the rhizosphere or plant tissues to stimulate growth through a variety of biological processes. The microbials are typically standardized by colony or spore-forming unit counts (bacteria vs. fungi) or filaments depending on the source and require specific formulation and handling to maintain viability [19,20]. The Plant-Growth-Promoting Rhizobacteria category includes bacteria such as Bacillus, Pseudomonas, Azospirillum, and Rhizobium. These have various modes of action including biological nitrogen fixation (BNF), solubilization of phosphorus and potassium, production of phytohormones like auxins, and induction of systemic resistance (ISR) against pathogens [18,21]. Another important group is beneficial fungi, which encompasses arbuscular mycorrhizal fungi (AMF) such as Glomus, and Rhizophagus spp., that extend the root system, enhancing water and nutrient uptake, and fungal biocontrol agents like Trichoderma spp. that antagonize pathogens through competition, mycoparasitism, and secretion of cell-wall-degrading enzymes [22,23].
Non-microbial biostimulants are the largest of these commercially available products and comprise non-living substances derived from organic or inorganic sources. Their efficacy is based on their chemical composition, and they are characterized by the concentration of active compounds e.g., 12% humic acid, and 15% amino acids, offering greater shelf stability but lacking the ability to reproduce or colonize [24]. These include products like Humic Substances, which are derived from decomposed organic matter like peat, and compost. Humic and fulvic acids substances improve soil structure and cation exchange capacity (CEC), enhance root membrane permeability, and chelate nutrients, making them more available to plants [25,26].
Beyond humic substances, seaweed extracts represent a major category of non-microbial biostimulants. Sourced primarily from brown algae such as Ascophyllum nodosum and Ecklonia maxima, these complex extracts are valued for their rich composition of polysaccharides [27] (e.g., alginates), betaines, and natural phytohormones including cytokinin and auxins. These components collectively enhance stress tolerance, improve nutrient efficiency, and increase crop yield [27,28]. Commercially available products in this category include Acadian Organic (Acadian Sea plants (Dartmouth, NS, Canada, B3B 1 × 8)), Kelpak® (Kelpak Products International-Capricorn Business Park, Cape Town, Western Cape, South Africa), and YieldOn® from Syngenta, Houston, TX, USA).
Another significant category consists of protein hydrolysates and amino acids, which are derived from plant or animal by-products through enzymatic or chemical hydrolysis. These formulations provide a bioavailable source of organic nitrogen, function as natural chelating agents, and serve as precursors for stress-related metabolites and plant hormones [29]. A representative commercial product is Terra-Sorb® (FMC Corporation, 2929 Walnut Street, Philadelphia, PA, USA). Inorganic compounds also constitute an important class of non-microbial biostimulants that are commonly utilized for stress remediation. Silicon-based products enhance plant structural integrity and abiotic stress tolerance, while phosphites induce defense pathways against oomycete pathogens such as Phytophthora and Pythium species [30,31]. Notable commercial examples include Nutri-Phite® (Nutri-Tech Solutions—Yandina, Queensland, Australia) and Sil-Matrix® (Certis USA LLC—Columbia, MD, USA).
The category of botanicals and biopolymers encompasses a diverse range of plant-derived extracts and processed natural polymers. This includes extracts from species such as Moringa and Yucca, which are rich in antioxidants and saponins, and chitosan, a biopolymer derived from shellfish exoskeletons that elicits plant defense responses [31,32]. Commercially available products in this segment include Amplify™ (AgriGro, Doniphan, MO, USA) and ARMOUR-ZONE (Westbridge Agricultural Products, Chelsea, Vista, CA, USA).
Beyond the established categories, research is rapidly advancing into novel sources and advanced formulation technologies to enhance the efficacy and consistency of biostimulants [9,10]. Nanocomposites and nano-biostimulants represent a significant innovation. By encapsulating or combining active ingredients like nutrients, plant extracts, and microbial metabolites with nanomaterials, these products can improve the stability, delivery, and targeted release of bioactive compounds. For instance, nano-enhanced potassium biostimulants have been shown to augment wheat yield and antioxidant activity in arid systems [33], other applications in phosphorus have been explored [34] while immunomodulatory nano-biostimulants can remodel the transcriptome and metabolome to enhance disease resilience in crops [35]. Another promising area involves glycomolecules—sugar-based compounds that are increasingly recognized as key signaling molecules. These compounds can prime the plant’s defense system, a phenomenon sometimes referred to as “sweet immunity”, making plants more resilient to subsequent biotic and abiotic challenges [36]. In addition to these advanced biopolymers and polyelectrolytes, are being engineered for environmental and agricultural applications [37]. Detailed classification and example products are included in Table 1.

2.2. Functional Classification and Regulatory Overlap

Apart from their composition, biostimulants are most times categorized based on their main desired function, a trend that most times results in overlapping groups and produces a lot of regulatory as well as user confusion [10]. This functional characterization is of three main groups: Biofertilizers which are products that have mainly the function of increasing availability of nutrients, solubilization, as well as plant absorption. Some examples are nitrogen-fixing inoculants such as Rhizobium leguminosarum (e.g., TagTeam® COAT, provided by Novozymes BioAg Inc., Minnetonka, MN, USA) and phosphate-solubilizing bacteria such as Bacillus megaterium (e.g., JumpStart®, produced by Novozymes BioAg Inc. as well as Corteva inc, 9330 Zionsville Road, Indianapolis, IN, USA). It is important to note that many microbial biostimulants (PGPR, AMF) are often marketed and registered as biofertilizers due to their strong nutrient-mobilizing effects.
This encompasses another category of biopesticides that originate from products intended for pest, disease, or weed management through means of biological action. These include microbial agents such as Bacillus thuringiensis in pest management [38] (DiPel® DF, Valent BioSciences LLC, 870 Technology Way, Libertyville, IL, USA) and fungal antagonists such as Trichoderma harzianum for disease management (RootShield® Plus+, BioWorks Inc., Victor, NY, USA and MycoUp™ from Corteva Inc). Crucially, while certain biostimulants (e.g., chitosan, and some Trichoderma strains) can elicit plant defense responses and are sometimes classified as biopesticides, which is not the primary function for most non-microbial biostimulants. Placing broad categories like seaweed extracts and humic substances directly under “biopesticides” is inaccurate, as their disease-suppressive effects are typically indirect and secondary to their primary role in enhancing plant vigor and stress tolerance [6].

2.3. Formulation Technologies: (Active in Nature Versus Inactive)

Under the technical approach employed in formulation products are categorized as live and non-living microbials. Live microbial products, for example, must—in some cases—be fermented and stabilized through encapsulation methods specifically to protect their viability. Liveliness ensures dynamic interactions that can potentially exist over long periods of time when stored properly [10]. Non-microbial products, on the other hand, take advantage of other extraction and purification methods (e.g., alkaline hydrolysis) to produce bioactive compounds, which are stable and enjoyable use [10], but typically function through direct stimulation of chemicals [19]. Recently there has been a movement towards dividing this exceptional category of products into two factions, with new inventions such as microbial engineering and nanotechnology bridging a gap and fostering higher efficacy and consistency within both categories of products [9,10]. Still, even with these unique aspects, identification persists in being a major issue towards incorporating biostimulants at the grower’s level, partially because of a lack of awareness [38], who often improperly identify biostimulants as nothing more than a modified fertilizer or pesticide supplemented with natural materials.

2.4. Modes of Action: The Way Biostimulants Work

Biostimulants enhance plant physiological processes without acting as primary nutrients or pesticides like how synthetic chemicals do. Their primary modes of action include metabolic priming and molecular signaling, which collectively improve growth, stress tolerance, and yield.
The principal mechanism is the modulation of phytohormones. Microbial biostimulants, such as PGPR and beneficial fungi, synthesize and release phytohormones including auxins, cytokinins, and gibberellins [21,28,39,40]. These regulate cell division, elongation, and differentiation, thereby improving root architecture and shoot development, which increases plants natural defense against pest and stress [6,13]. Non-microbial biostimulants (e.g., seaweed extracts) similarly contain hormone-like compounds that influence plant development.
Biostimulants also enhance enzymatic activity in nitrogen assimilation and carbon metabolism, improving nutrient use efficiency and biomass accumulation. Under abiotic stress, they induce osmotic adjustment through the accumulation of osmolytes (e.g., proline, glycine betaine), helping maintain cellular turgor [41,42]. Additionally, they mitigate oxidative stress by upregulating antioxidant enzymes (e.g., superoxide dismutase (SOD), catalase (CAT), and peroxidase (POD) and stress-responsive genes encoding protective proteins (e.g., heat shock proteins (HSPs), late embryogenesis abundant proteins (LEAs).
Against biotic stress, biostimulants induce systemic resistance. Beneficial microbes such as PGPR and Trichoderma spp. elicit jasmonic acid/ethylene-dependent induced systemic resistance (ISR) through molecular signaling. This have been documented in cucumber [43], Arabidopsis thaliana [44], and other plant species [45] (Table 2). Other compounds, including chitosan and seaweed extracts, stimulate salicylic acid-mediated systemic acquired resistance (SAR). Microbial agents also suppress pathogens via competitive exclusion, antibiosis, and the production of siderophores, antibiotics, and lytic enzymes [16,22,46,47,48]. Furthermore, biostimulants like humic substances enhance soil structure by promoting aggregation and porosity, thereby supporting root growth and nutrient diffusion [49]. The good example is beneficial microbes such as PGPR and fungi like Trichoderma which colonize roots and trigger jasmonic acid/ethylene-dependent induced systemic resistance (ISR), priming the plant for accelerated defense response upon pathogen attack [45,48].
Alternatively, compounds like chitosan and seaweed extracts stimulate salicylic acid-mediated systemic acquired resistance (SAR), particularly effective against biotrophic pathogens [50]. Additionally, microbial biostimulants suppress diseases via competitive exclusion and antibiosis through the release of siderophores, antibiotics, and lytic enzymes [16,22]. The core function of biostimulants lies in improving nutrient use efficiency. Microbial strains solubilize insoluble nutrients, while mycorrhizal fungi extend root reach via hyphal networks [51,52]. In legumes, rhizobia symbiosis enables biological nitrogen fixation, providing sustainable nitrogen nutrition [16,53]. Concurrently, biostimulants like humic substances and microbial exudates improve soil structure by enhancing aggregation and porosity, facilitating better root growth and nutrient diffusion [25].
These products do not provide a single silver bullet but rather modulate the plant’s own systems for growth, stress response, and nutrient acquisition. Understanding these mechanisms is paramount for aligning the correct biostimulant type with specific agronomic challenges, which is the focus of the following sections.

3. Efficacy Under Specific Abiotic Stresses

Biostimulants enhance plant resilience to abiotic stresses by targeting specific physiological response pathways which are affected by the environment and thus, a single biostimulant can produce both positive and negative responses under diverse conditions [2,12] (Table 3). Under drought stress, microbial plant growth-promoting rhizobacteria (PGPR) such as Azospirillum brasilense and Bacillus subtilis improve soil moisture retention and root exploration through exopolysaccharide production, while non-microbial biostimulants like seaweed extracts and humic acids enhance osmoprotectant synthesis (proline, glycine betaine) and antioxidant enzyme activity (SOD, CAT) to maintain cellular integrity [42,54,55,56]. Some studies have documented both negative and positive yield increases up to 68% under moderate drought conditions [19,57].
For salinity stress, halotolerant PGPR (e.g., Bacillus pumilus) regulate ion homeostasis by enhancing K+/Na+ ratios and reducing stress ethylene via ACC deaminase, while arbuscular mycorrhizal fungi (AMF) improve phosphorus and water acquisition, with complementary foliar applications of amino acids and seaweed extracts providing substrates for compatible solutes and oxidative defense [58,59,60]. Under temperature extremes, biostimulants such as seaweed extracts, protein hydrolysates, and amino acids stabilize membranes and proteins through heat-shock protein induction and cryoprotectant accumulation [61,62,63].
Waterlogging stress is mitigated through bacterial promotion of aerenchyma formation for oxygen transport and improved nitrogen metabolism [64,65]. This is achieved through soil structure building and enhancing plant antioxidant defense by AMF [66,67,68]. Others from bacteria produce hormones and scavenge harmful oxygen species, increase osmoregulatory compounds and improve nutrient availability which helps the plant to survive water stress. Mechanisms include ACC deaminase production, which lowers stress-induced ethylene, and the synthesis of osmoprotectants and antioxidants [68,69].
Table 3. Efficacy of Biostimulants in Mitigating Key Abiotic Stresses.
Table 3. Efficacy of Biostimulants in Mitigating Key Abiotic Stresses.
Abiotic StressKey Physiological ChallengeEffective Biostimulant TypesPrimary Mechanism of MitigationReference
DroughtOsmotic stress, Oxidative damagePGPR, Seaweed extracts, Humic acidsOsmolyte accumulation, Antioxidant induction, Improved root architecture[42]
SalinityIron toxicity, Osmotic stressHalotolerant PGPR, AMF, Amino acidsIon homeostasis (K+/Na+), Osmotic adjustment, Antioxidant defense[56]
Heat StressProtein denaturation, Membrane instabilityTrichoderma spp., PGPR, Seaweed extractsHeat-shock protein (HSP) induction, Membrane stabilization[53]
Chilling StressMembrane rigidification, ROS generationMicrobial consortia, Seaweed extractsCryoprotectant synthesis, Antioxidant defense[70]
FloodingHypoxia, Reduced nutrient uptakeAzospirillum, Pseudomonas spp.Aerenchyma formation, Anaerobic metabolism support[55]

4. Efficacy Against Biotic and Physiological Stresses

4.1. Suppression of Pathogens and Nematodes

Biostimulants combat diseases primarily through induced systemic resistance (ISR) and competitive microbial exclusion. Beneficial rhizobacteria (PGPR) and fungi (e.g., Trichoderma, mycorrhizae) colonize root zones to prime jasmonic acid/ethylene defense pathways, enabling accelerated response to pathogen attack [48]. This priming involves the upregulation of pathogenesis-related (PR) genes and the accumulation of defensive metabolites, creating a state of “alert” without significant fitness costs under non-stress conditions Additional suppression mechanisms include antibiotic production, siderophore-mediated iron competition, and direct mycoparasitism [22]. Practical applications demonstrate Trichoderma harzianum effectively reducing soil-borne diseases like damping-off (Pythium spp.) and wilt (Fusarium spp.), while Bacillus and Pseudomonas strains counter bacterial and fungal pathogens through multiple mechanisms [71,72,73]. For instance, Bacillus subtilis inoculation reduces Fusarium oxysporum impact in tomatoes [74], while Pseudomonas putida suppresses Fusarium oxysporum through siderophore production and enhanced photosynthesis [75,76]. Notably, Bacillus aryabhattai strain SRB02 controls tomato Fusarium wilt by inhibiting fungal growth while modulating host defense through enhanced salicylic acid and amino acid accumulation [57]. However, the efficacy of these biocontrol agents is notoriously variable and highly context dependent. Successful establishment and function are governed by the Biological Competition Axiom, where introduced microbes must compete with a diverse of established native soil microbiome [77,78], which Bauer et al. [78] called microbial wars. Factors such as soil pH, organic matter content, and previous pesticide applications can create antagonistic conditions that suppress the activity of the introduced biostimulant strain. For example, a Trichoderma inoculant may thrive in an organic-rich, well-aerated soil but fail to establish in a compacted, chemical-intensive system. Therefore, understanding the existing biological and chemical environment is crucial for predicting the success of microbial biostimulants in disease suppression.

4.2. Alleviation of Physiological Stresses

Biostimulants address internal imbalances through multiple mechanisms: humic substances chelating micronutrients (Fe, Zn) to improve availability [25]. The surfactant-like properties of fulvic acids can also improve root membrane permeability, further facilitating nutrient absorption. Arbuscular mycorrhizal fungi enhances phosphorus acquisition via extended hyphal networks [52]; while amino acids and seaweed extracts reduce transplant shock through organic nitrogen supply and root regeneration stimulation [79]; and reproductive stress is mitigated via improved pollen viability and fruit set [53]. Additionally, quality parameters including sugar content (brix), anthocyanin levels, and shelf life are significantly enhanced through targeted applications [28]. This is often a consequence of improved plant vitality and a re-direction of metabolic resources towards the synthesis of secondary metabolites and storage compounds. In addition, post-injury applications of amino acids and seaweed extracts accelerate tissue repair by supplying substrates for protein synthesis and cell wall regeneration while mitigating oxidative damage [80].
The variability in response to biostimulants for physiological stress is largely explained by the Limiting Factor Principle (LFP). A biostimulant will show the most dramatic effects when it addresses the primary constraint limiting growth or quality. For example: AMF will have a profound impact on phosphorus uptake only in low- to medium-phosphorus soils; in phosphorus-replete soils, their effect may be negligible [81]. The benefits of amino acids for transplant shock are most apparent under harsh conditions; in ideal transplanting scenarios, the effect may be minimal. Consequently, diagnosing specific physiological limitations (e.g., nutrient deficiency, root damage) is essential for selecting the most effective biostimulant and observing a consistent, positive return on investment (Table 4).

5. Performance Variability and Influencing Factors

The most consistent finding in biostimulant research is the inherent variability in product efficacy, where significant improvements in stress tolerance or yield in some contexts contrast with null or even negative results in others [84,85]. This inconsistency stems not from product deficiency but from the complex interplay of biological, environmental, and management factors that modulate biostimulant performance. Understanding these influences is crucial for interpreting experimental results, setting realistic agricultural expectations, and enhancing product reliability [12,56].

5.1. Fundamental Principles Governing Variability

Two core principles explain much of the observed performance variation: (1). The limiting factor principle posits that biostimulants demonstrate maximal efficacy when addressing specific physiological constraints. For instance, phosphate-solubilizing microorganisms (e.g., Pseudomonas spp.) show significant growth promotion in low-phosphorus soils but provide negligible benefits in phosphorus-replete conditions [86]. Similarly, osmoprotectant-rich seaweed extracts (e.g., from Ascophyllum nodosum) substantially improve drought tolerance in water-limited environments but show minimal effects under optimal irrigation [87,88]. (2). The biological competition axiom states that successful establishment of microbial biostimulants depends on their ability to compete with resident soil communities [77,78]. Inoculants often fail when outcompeted by native microbiota, inhibited by chemical residues from previous applications, or introduced to soils lacking sufficient organic matter to support colonization and growth, or introduced in environment with chemical inhibitors and lacking synergy [77,78].

5.2. Environmental and Edaphic Determinants

Field environments act as stringent filters on biostimulant performance through several mechanisms: Soil physicochemical properties significantly influence efficacy, with pH critically affecting microbial survival and bioactive compound stability (most beneficial bacteria thrive at pH 6.0–7.5) [89,90]. While soil texture determines product selection, sandy soils with low water-holding capacity respond well to moisture-retaining products like humic substances, whereas clay soils require oxygen-tolerant formulations, and amendment that improve aeration [91,92]. Additionally, the soil is composed of billions of native bacteria and fungi, which all determines whether introduced strains face synergy or competition, with established communities often exhibiting priority effects that limit colonization by new inoculants [93]. Notably, degraded soils with low microbial diversity typically show stronger responses to inoculation than biologically diverse soils, the same way we see higher plant response to fertilizers under low fertility soils [94,95], as documented by Dadzie et al. [96] observed greater colonization by native micro-organisms in degraded soils. Even when other factors guide the criteria for microbial specie selection, the previous management history creates legacy effects that modulate efficacy, where previous fungicide applications can suppress fungal biostimulants (e.g., Trichoderma spp.), and high nitrogen fertilization reduces plant dependence on symbiotic nitrogen-fixing bacteria [95].

5.3. Climatic and Management Influences

Climatic factors dramatically affect biostimulant function: temperature regulates microbial metabolic rates (e.g., Azospirillum brasilense thrives in warm soils but performs poorly in cool conditions) and can denature heat-sensitive compounds in non-microbial formulations. For example, ref. [97] observed a reduction in growth with temperature in Azospirillum brasilense C16 spp. isolated from Guinea grass. Most of the soil micro-organisms need moisture to carry out their respiration and move in the soil. Moisture availability controls microbial mobility and nutrient diffusion; solar radiation degrades light-sensitive components in foliar applications, making early morning or evening application critical for efficacy [98,99,100]. In addition to the soil environment, management practices often determine practical success: microbial product viability depends on maintained cold chains and proper storage conditions throughout the distribution network [101], tank-mixing with incompatible chemicals e.g., copper-based fungicides with bacterial inoculants, or using poor quality water high chlorine, and extreme pH can inactivate products [102,103,104]. Application timing must align with both crop growth stages and stress anticipation to achieve desired effects, as applying drought-mitigating products after severe stress establishment often proves ineffective. Previous rotation management including tillage, crop species, and residue (microbial food), influences the soil food web, which also influences the colonizing power of a new microbial inoculant [105,106]. This comprehensive framework explains why biostimulant performance is inherently context-dependent and underscores the importance of matching products to specific environmental conditions, soil properties, and management practices to achieve consistent results.

6. The Greenhouse vs. Field Efficacy Disparity

A critical analysis of biostimulant literature reveals a significant disconnect between results from controlled environments and working farms. While greenhouse studies dominate the published evidence base, their optimized conditions often fail to predict performance in the complex, dynamic realities of open-field agriculture. This “translation gap” profoundly impacts efficacy interpretation, research priorities, and farmer expectations.

Limitations of Controlled Environment Research

Greenhouse studies provide essential advantages for early-stage research: precise environmental control, high replication capacity, facilitated sampling, and accelerated results. These features make them indispensable for proof-of-concept work and mechanistic studies. However, these very advantages create inherent limitations for real-world prediction [107]. The absence of complex stress interactions, where field crops face multiple simultaneous stresses (heat, water deficit, pest pressure), limit translational validity [108]. The confined root environment of containers creates artificial rhizosphere conditions that intensify root exudate concentrations and distort nutrient dynamics, potentially exaggerating treatment effects [109,110]. Furthermore, greenhouse conditions buffer environmental extremes (UV radiation, wind, hail) that many biostimulants are designed to mitigate, while sterile or simplified potting media eliminate microbial competition, allowing unrealistically successful colonization of introduced inoculants [107].
The greenhouse studies typically report strong, statistically significant improvements in biomass, nutrient uptake, and stress marker reduction due to biostimulants. But when these treatments are taken to the field conditions, they show modest, variable, or non-significant effects, and show strong season- and location-dependence [107]. This discrepancy reflects how controlled environments optimize conditions for biostimulant expression, while field conditions with heterogeneous soils, unpredictable weather, and competitive biological communities create a stringent performance filter [107].
The overreliance on greenhouse data results in failed translation of promising results and farmer skepticism [111] creating unrealistic expectations and inconsistent outcomes, which all hinder adoption and recommendation confidence [107]. Addressing this disparity requires a strategic approach: prioritizing multi-year, multi-location field trials that expose products to authentic stresses [112], clearly contextualizing greenhouse findings with their limitations; and demanding local field validation data from manufacturers [112,113,114]. While greenhouse research remains valuable for discovery, the future of biostimulants depends on bridging this gap through rigorous field validation.

7. Crop-Specific Responses to Biostimulants

The notion of a universal biostimulant is scientifically unsound given the profound physiological diversity among plant species and even varieties (Table 5). Crops differ significantly in root architecture, nutrient demands, and stress tolerance mechanisms, making product efficacy highly crop specific [115]. A biostimulant that enhances yield in one crop may show negligible or even negative effects in another, necessitating a precision-based approach rather than generalized applications of biostimulants [116].
Cereals respond best to biostimulants targeting early nutrient acquisition and root development. Microbial inoculants, particularly PGPR like Azospirillum and Azotobacter, demonstrate consistent benefits through biological nitrogen fixation, auxin production, and phosphate solubilization, resulting in 5, 15% yield gains under field conditions [116,117,118]. Cyanobacteria show special efficacy in flooded rice systems [119,120]. Optimal application involves seed treatment or in-furrow placement for microbial products, with foliar applications of seaweed extracts or humic substances timed to critical growth stages [65]. Responses are often limited in high-fertility soils or when chemical seed treatments compromise microbial viability [103].
Quality-driven horticultural production benefits particularly from fungal biostimulants. Trichoderma species enhance root development and suppress soil-borne pathogens [43,64,73], while AMF improves phosphorus uptake in nutrient-intensive crops like tomatoes and peppers [83]. Non-microbial options including amino acid formulations and seaweed extracts reduce transplant shock and improve fruit quality parameters [27,28,79,80]. Application methods must align with objectives: soil incorporation for fungal benefits versus foliar sprays for quality enhancement [84,121]. Over-application of amino acids may stimulate excessive vegetative growth, and fungicide incompatibility can limit fungal biostimulant efficacy. Long-cycle crops (perennial crops), benefit from biostimulants that enhance long-term soil health and stress resilience. Humic substances improve soil structure and nutrient retention, while AMF established at planting provides lasting water and nutrient uptake benefits [26]. Seaweed extracts mitigate intermittent stress events and improve harvest quality [27,28,80]. Broadcast granular applications suit long-term soil improvement, while foliar sprays address anticipated stress events.

8. Biostimulants’ Interactions with Soil Amendments

Biostimulants are rarely applied in isolation but are integrated into agricultural systems employing various soil amendments to enhance fertility and soil health. These amendments ranging from organic materials like manures, and composts to inorganic inputs like lime create complex soil environments that significantly influence biostimulant performance, particularly for microbial products [122,123] (Table 6). The interactions can be synergistic (amplifying benefits), additive (cumulative effects), or antagonistic (inhibitory), making understanding these dynamics crucial for optimizing biostimulant efficacy in both organic and conventional systems [124,125].
Soil amendments significantly influence biostimulant efficacy by modifying the soil environment in which they function. Well-composted organic matter provides stable habitat and resources that enhance microbial biostimulant activity, while fresh manure may introduce toxic ammonia levels and competitive microbiota that inhibit inoculated strains [126,127]. Biochar improves soil habitat and moisture retention but may absorb organic biostimulant compounds, while wood chips immobilize nitrogen during decomposition, limiting nutrient availability for both plants and microbes [128]. Inorganic amendments similarly create variable conditions, lime and gypsum adjust pH to ranges that may favor or inhibit specific microbial communities, while sand improves drainage but offers minimal biological interaction [129]. Thus, amendment selection and timing directly determine whether biostimulants encounter synergistic, neutral, or antagonistic conditions for their establishment and function.
Compost provides carbon sources that fuel microbial biostimulant activity [123]; biochar’s porous structure offers protective habitats for microbes [124,125]; well-composted matter buffers pH and adsorbs toxins. Antagonistic: High C: N amendments starve nitrogen-dependent microbes; biochar may adsorb organic biostimulant compounds [124,125]; chemical fertilizers can suppress mycorrhizal associations.
Table 6. Amendment–Biostimulant Interactions.
Table 6. Amendment–Biostimulant Interactions.
AmendmentPrimary Effect on SoilInteraction with Microbial BiostimulantsInteraction with Non-Microbial BiostimulantsReferences
Composted ManureAdds organic matter & nutrients; improves soil structure.Synergistic: Provides a stable habitat and complex carbon sources that enhance microbial activity and survival.Additive/Synergistic: Improves soil conditions for root growth and nutrient retention, enhancing the biostimulant’s environment.[123,124,126]
Fresh ManureHigh in soluble N, P and K and can be unstable.Antagonistic: May cause ammonia toxicity and introduce competitive native microbes that inhibit inoculated strains. Added nutrients reduce response by nutrient solubilizer microbes.Variable: Potential for salt stress and rapid degradation of organic compounds; benefits uncertain.[78,81,123,124]
BiocharIncreases CEC and porosity; enhances water retention.Synergistic: Porous structure provides protective microhabitats, buffering microbes from environmental stress.Antagonistic: High surface area can adsorb organic bioactive compounds, reducing their plant availability.[85,124,126]
Wood Chips/MulchHigh C:N ratio; leads to nitrogen immobilization during decomposition.Antagonistic: Nitrogen starvation limits the growth and metabolic activity of both plants and N-dependent microbes.Antagonistic: Poor plant growth due to N deficiency can mask or negate any potential biostimulant effect.[124,130]
LimeRaises soil pH; can reduce aluminum toxicity.Variable: Effect is pH dependent. May favor certain bacterial communities but can inhibit acid-tolerant fungi.Variable: Alters the solubility, stability, and availability of organic compounds and nutrients.[131,132]
Successful integration requires: (1) preliminary soil testing to understand conditions; (2) prioritizing stabilized amendments over fresh; (3) strategic timing to avoid antagonisms; (4) matching amendment–biostimulant combinations to objectives; and (5) continuous monitoring and adaptation based on crop responses as given in the example in Figure 1.

9. Observations and Recommendations

The comprehensive analysis confirms that biostimulant efficacy is inherently context-dependent, reflecting the complex interplay of biological, environmental, and management factors rather than product inconsistency. The observed variability in biostimulant performance can be understood through four foundational principles: the Limiting Factor Principle, where efficacy peaks when addressing specific constraints such as phosphate-solubilizing microbes in low-phosphorus soils; the Biological Competition Axiom, which states that microbial success depends on establishment within competitive soil ecosystems; the Stress Gradient Hypothesis, indicating that benefits are greatest under sub-optimal conditions compared to high-input systems; and the Formulation and Viability Imperative, where supply chain issues like improper storage and handling are responsible for many microbial product failures. These principles collectively underscore the context-dependent nature of biostimulant efficacy, emphasizing that success is determined by the alignment of product function with specific agricultural constraints and conditions. Effective use requires: (1) diagnosing primary constraints through soil testing; (2) integrating biostimulants into holistic management; (3) demanding local field validation data; (4) conducting on-farm trials; (5) proper handling of microbial products; (6) following a decision framework assessing soil health, stresses, and input history. Producers should: (1) provide transparent multi-location field data; (2) invest in advanced formulation technologies; (3) adopt targeted, evidence-based marketing; (4) educate distribution chains on proper handling.
Future work should: (1) prioritize field-based greenhouse studies; (2) elucidate mechanisms using omics tools; (3) develop crop- and amendment-specific protocols; (4) create predictive soil health tools; (5) establish industry-wide standards.

10. Conclusions

This review has addressed the growing imperative to enhance agricultural sustainability and productivity amidst climate change and environmental degradation. To this end, we have synthesized the current scientific understanding of agricultural biostimulants, examining their classification, modes of action, and efficacy against abiotic and biotic stresses. Our analysis confirms that biostimulants are sophisticated tools capable of modulating plant physiology to improve nutrient use efficiency, stress tolerance, and crop quality.
A central finding of this work is the profoundly context-dependent nature of biostimulant efficacy. Performance is not a function of product quality alone but is governed by a complex hierarchy of factors, including soil properties, native microbiota, climate conditions, crop species, and management practices. The significant disparity between highly controlled greenhouse studies and variable field results underscores the critical limitation of extrapolating data without accounting for real-world agroecosystem complexity. Furthermore, interactions with soil amendments can be either synergistic or antagonistic, necessitating an integrated systems approach rather than treating biostimulants as standalone solutions.
The primary take-home message is that biostimulants are not universal “silver bullets”. Their successful implementation requires a precision-based approach, where product selection and application are carefully matched to specific environmental constraints and agronomic challenges. To bridge the gap between their significant potential and on-farm reliability, future research must prioritize multi-year, multi-location field trials to generate robust, validated efficacy data. Mechanistic studies using omics tools are needed to elucidate interactions with soil microbiomes under varying conditions. Furthermore, the development of crop- and amendment-specific protocols, predictive soil health tools, and industry-wide standards is essential.
Ultimately, unlocking the full promise of biostimulants for sustainable intensification demands a concerted effort across the sector: rigorous and transparent science, targeted education for growers and agronomists, and evolved regulatory frameworks that categorize products based on biological function. When applied judiciously within integrated management systems, biostimulants can be powerful components in developing more resilient and productive agricultural systems for future generations.

Author Contributions

Conceptualization, U.A., D.N.Y. and A.H.; methodology, U.A. and D.N.Y.; software, U.A.; validation, U.A. and A.H.; formal analysis, U.A. and A.H.; investigation, U.A.; resources, U.A.; data curation; U.A. and A.H.; writing—original draft preparation, U.A. and D.N.Y.; writing—review and editing, U.A., D.N.Y. and A.H.; supervision, U.A. and D.N.Y.; project administration, U.A. and D.N.Y.; funding acquisition, U.A. and D.N.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

All data for this article is contained in it. For additional information, contact the corresponding author.

Acknowledgments

During the preparation of this manuscript, the author(s) took full responsibility for the content of this publication.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
ACC1-Aminocyclopropane-1-Carboxylate
AMFArbuscular Mycorrhizal Fungi
BNFBiological Nitrogen Fixation
CECCation Exchange Capacity
CAGRCompound Annual Growth Rate
FeIron
IPMIntegrated Pest Management
ISRInduced Systemic Resistance
NGPNorth Great Plains
NUENutrient Use Efficiency
PGPRPlant-Growth-Promoting Rhizobacteria
PGPMPlant-Growth-Promoting Microorganisms
ROSReactive Oxygen Species
SARSystemic Resistance
PGBFPlant-growth-Promoting Fungi

References

  1. United Nations. United Nations Population Prospects 2024. United Nations Department of Economic and Social Affairs. 2024. Available online: https://www.un.org/development/desa/pd/sites/www.un.org.development.desa.pd/files/wpp2022_summary_of_results.pdf (accessed on 16 September 2025).
  2. Zandalinas, S.I.; Fritschi, F.B.; Mittler, R. Global warming, climate change, and environmental pollution: Recipe for a multifactorial stress combination disaster. Trends Plant Sci. 2021, 26, 588–599. [Google Scholar] [CrossRef]
  3. Gomiero, T. Food quality assessment in organic vs. conventional agricultural produce: Findings and issues. Appl. Soil Ecol. 2018, 123, 714–728. [Google Scholar] [CrossRef]
  4. Reganold, J.P.; Wachter, J.M. Organic agriculture in the twenty-first century. Nat. Plants 2016, 2, 15221. [Google Scholar] [CrossRef]
  5. Seufert, V.; Ramankutty, N.; Foley, J.A. Comparing the yields of organic and conventional agriculture. Nature 2012, 485, 229–232. [Google Scholar] [CrossRef]
  6. Jardin, P.D. Plant biostimulants: Definition, concept, main categories and regulation. Sci. Hortic. 2015, 196, 3–14. [Google Scholar] [CrossRef]
  7. Yakhin, O.I.; Lubyanov, A.A.; Yakhin, I.A.; Brown, P.H. Biostimulants in plant science: A global perspective. Front. Plant Sci. 2017, 7, 2049. [Google Scholar] [CrossRef]
  8. Gupta, S.; Bhattacharyya, P.; Kulkarni, M.G.; Doležal, K. Editorial: Growth regulators and biostimulants: Upcoming opportunities. Front. Plant Sci. 2023, 14, 1209499. [Google Scholar] [CrossRef] [PubMed]
  9. Sible, C.; Below, F. Role of Biologicals in Enhancing Nutrient Efficiency in Corn and Soybean. Crop. Soils 2023, 56, 13–19. [Google Scholar] [CrossRef]
  10. Sible, C.N.; Seebauer, J.R.; Below, F.E. Biostimulant or biological? The complexity of defining, categorizing, and regulating microbial inoculants. Agric. Environ. Lett. 2025, 10, e70027. [Google Scholar] [CrossRef]
  11. Oliver, R.; Jørgensen, L.N.; Heick, T.M.; Kemmitt, G.M.; Bryson, R.; Brix, H. Instant Insights: Fungicide Resistance in Cereals; Burleigh Dodds Science Publishing: Cambridge, UK, 2024. [Google Scholar]
  12. Van Oosten, M.J.; Pepe, O.; De Pascale, S.; Silletti, S.; Maggio, A. The role of biostimulants and bioeffectors as alleviators of abiotic stress in crop plants. Chem. Biol. Technol. Agric. 2017, 4, 5. [Google Scholar] [CrossRef]
  13. Rouphael, Y.; Colla, G. Editorial: Biostimulants in agriculture. Front. Plant Sci. 2020, 11, 40. [Google Scholar] [CrossRef] [PubMed]
  14. Franzen, D.; Camberato, J.; Nafziger, E.; Kaiser, D.; Nelson, K.; Ruiz-Diaz, D.; Lentz, E.; Steinke, K.; Grove, J.; Ritchey, E.; et al. Performance of Selected Commercially Available Asymbiotic N-Fixing Products in the North Central Region; North Dakota State Extension: Fargo, ND, USA, 2023; Volume 4. Available online: https://www.ndsu.edu/agriculture/extension/publications/performance-selected-commercially-available-asymbiotic-n-fixing-products (accessed on 16 September 2025).
  15. Raymond, J.; Siefert, J.L.; Staples, C.R.; Blankenship, R.E. The natural history of nitrogen fixation. Mol. Biol. Evol. 2004, 21, 541–554. [Google Scholar] [CrossRef] [PubMed]
  16. Hellriegel, H.; Wilfarth, H. Untersuchungen über die Stickstoffnahrung der Gramineen und Leguminosen; Hanbooks: Norderstedt, Germany, 1888; Available online: https://www.biodiversitylibrary.org/bibliography/27102 (accessed on 16 September 2025).
  17. Blunden, G. The effects of aqueous seaweed extract as a fertilizer additive. Proc. Int. Seaweed Symp. 1972, 7, 584–589. [Google Scholar]
  18. Calvo, P.; Nelson, L.; Kloepper, J.W. Agricultural uses of plant biostimulants. Plant Soil 2014, 383, 3–41. [Google Scholar] [CrossRef]
  19. Kumari, M.; Swarupa, P.; Kesari, K.K.; Kumar, A. Microbial inoculants as plant biostimulants: A review on risk status. Life 2022, 13, 12. [Google Scholar] [CrossRef]
  20. Černohlávková, J.; Jarkovský, J.; Nešporová, M.; Hofman, J. Variability of soil microbial properties: Effects of sampling, handling and storage. Ecotoxicol. Environ. Saf. 2009, 72, 2102–2108. [Google Scholar] [CrossRef]
  21. Lugtenberg, B.; Kamilova, F. Plant-growth-promoting rhizobacteria. Annu. Rev. Microbiol. 2009, 63, 541–556. [Google Scholar] [CrossRef] [PubMed]
  22. Harman, G.E.; Howell, C.R.; Viterbo, A.; Chet, I.; Lorito, M. Trichoderma species—Opportunistic, avirulent plant symbionts. Nat. Rev. Microbiol. 2004, 2, 43–56. [Google Scholar] [CrossRef]
  23. Wahab, A.; Muhammad, M.; Munir, A.; Abdi, G.; Zaman, W.; Ayaz, A.; Khizar, C.; Reddy, S.P.P. Role of arbuscular mycorrhizal fungi in regulating growth, enhancing productivity, and potentially influencing ecosystems under abiotic and biotic stresses. Plants 2023, 12, 3102. [Google Scholar] [CrossRef]
  24. Ciriello, M.; Campana, E.; Colla, G.; Rouphael, Y. An Appraisal of Nonmicrobial Biostimulants’ Impact on the Productivity and Mineral Content of Wild Rocket (Diplotaxis tenuifolia (L.) DC.) Cultivated under Organic Conditions. Plants 2024, 13, 1326. [Google Scholar] [CrossRef]
  25. Canellas, L.P.; Olivares, F.L. Physiological responses to humic substances as plant growth promoters. Chem. Biol. Technol. Agric. 2014, 1, 3. [Google Scholar] [CrossRef]
  26. Kaya, C.; Ugurlar, F. Non-microbial Biostimulants for Quality Improvement in Fruit and Leafy Vegetables. In Growth Regulation and Quality Improvement of Vegetable Crops: Physiological and Molecular Features; Springer: Berlin/Heidelberg, Germany, 2025; pp. 457–494. [Google Scholar] [CrossRef]
  27. Mamede, M.; Cotas, J.; Bahcevandziev, K.; Pereira, L. Seaweed polysaccharides in agriculture: A next step towards sustainability. Appl. Sci. 2023, 13, 6594. [Google Scholar] [CrossRef]
  28. Battacharyya, D.; Babgohari, M.Z.; Rathor, P.; Prithiviraj, B. Seaweed extracts as biostimulants in horticulture. Sci. Hortic. 2015, 196, 39–48. [Google Scholar] [CrossRef]
  29. Colla, G.; Nardi, S.; Cardarelli, M.; Ertani, A.; Lucini, L.; Canaguier, R.; Rouphael, Y. Protein hydrolysates as biostimulants in horticulture. Sci. Hortic. 2015, 196, 28–38. [Google Scholar] [CrossRef]
  30. Ma, Y.; Freitas, H.; Dias, M.C. Strategies and prospects for biostimulants to alleviate abiotic stress in plants. Front. Plant Sci. 2022, 13, 1024243. [Google Scholar] [CrossRef]
  31. Datnoff, L.E.; Elmer, W.H.; Huber, D.M. (Eds.) Mineral Nutrition and Plant Disease; APS Press—The American Phytopathological Society: St. Paul, MN, USA, 2007; p. 278. ISBN 978-0-89054-346-7. [Google Scholar]
  32. Sharp, R.G. A review of the applications of chitin and its derivatives in agriculture to modify plant-microbial interactions and improve crop yields. Agronomy 2013, 3, 757–793. [Google Scholar] [CrossRef]
  33. Shahryari, A.; Bahabadi, S.E.; Beyzaei, H.; Mohammadi, Y.; Nusrat, E.; Sharifan, H. Nano-enhanced potassium biostimulants: Augmenting wheat yield, antioxidant activity, and micronutrient bioavailability in arid agricultural systems. Nanotechnol. Environ. Eng. 2025, 10, 28. [Google Scholar] [CrossRef]
  34. Samal, D.P.K.; Sukla, L.B.; Bishoyi, A.K. Biosynthesis of Phosphorus Nanoparticles for Sustainable Agroecosystems: Next Generation Nanotechnology Application for Improved Plant Growth. ACS Omega 2025, 10, 14555–14565. [Google Scholar] [CrossRef]
  35. Zhang, Q.; Ahmed, T.; Noman, M.; Qi, Y.; Ijaz, M.; Li, Z.; Yang, H.; Sun, L.; Qi, X.; Li, B.; et al. Immunomodulatory nano-biostimulants remodel transcriptome and metabolome for enhancing bayberry resilience against twig blight disease. Chem. Eng. J. 2025, 522, 167449. [Google Scholar] [CrossRef]
  36. Boulogne, I.; Mirande-Ney, C.; Bernard, S.; Bardor, M.; Mollet, J.C.; Lerouge, P.; Driouich, A. Glycomolecules: From “sweet immunity” to “sweet biostimulation”? Physiol. Plant. 2024, 176, e14640. [Google Scholar] [CrossRef]
  37. Delgado, M.Z.; Aranda, F.L.; Hernandez-Tenorio, F.; Garrido-Miranda, K.A.; Meléndrez, M.F.; Palacio, D.A. Polyelectrolytes for environmental, agricultural, and medical applications. Polymers 2024, 16, 1434. [Google Scholar] [CrossRef] [PubMed]
  38. Ayilara, M.S.; Adeleke, B.S.; Akinola, S.A.; Fayose, C.A.; Adeyemi, U.T.; Gbadegesin, L.A.; Omole, R.K.; Johnson, R.M.; Uthman, Q.O.; Babalola, O.O. Biopesticides as a promising alternative to synthetic pesticides: A case for microbial pesticides, phytopesticides, and nanobiopesticides. Front. Microbiol. 2023, 14, 1040901. [Google Scholar] [CrossRef]
  39. Apone, F.; Tito, A.; Carola, A.; Arciello, S.; Tortora, A.; Filippini, L.; Monoli, I.; Cucchiara, M.; Gibertoni, S.; Chrispeels, M.J.; et al. A mixture of peptides and sugars derived from plant cell walls increases plant defense responses to stress and attenuates ageing-associated molecular changes in cultured skin cells. J. Biotechnol. 2010, 145, 367–376. [Google Scholar] [CrossRef]
  40. Kejela, T. Phytohormone-producing rhizobacteria and their role in plant growth. In New Insights into Phytohormones; IntechOpen: London, UK, 2024. [Google Scholar] [CrossRef]
  41. Tejada, M.; Rodríguez-Morgado, B.; Gómez, I.; Franco-Andreu, L.; Benítez, C.; Parrado, J. Use of biofertilizers obtained from sewage sludges on maize yield. Eur. J. Agron. 2016, 78, 13–19. [Google Scholar] [CrossRef]
  42. Sharma, H.S.; Fleming, C.; Selby, C.; Rao, J.R.; Martin, T. Plant biostimulants: A review on the processing of macroalgae and use of extracts for crop management to reduce abiotic and biotic stresses. J. Appl. Phycol. 2014, 26, 465–490. [Google Scholar] [CrossRef]
  43. Yuan, M.; Huang, Y.; Ge, W.; Jia, Z.; Song, S.; Zhang, L.; Huang, Y. Involvement of jasmonic acid, ethylene and salicylic acid signaling pathways behind the systemic resistance induced by Trichoderma longibrachiatum H9 in cucumber. BMC Genom. 2019, 20, 144. [Google Scholar] [CrossRef] [PubMed]
  44. Contreras-Cornejo, H.A.; Macías-Rodríguez, L.; Cortés-Penagos, C.; López-Bucio, J. Trichoderma virens, a plant beneficial fungus, enhances biomass production and promotes lateral root growth through an auxin-dependent mechanism in Arabidopsis. Plant Physiol. 2009, 149, 1579–1592. [Google Scholar] [CrossRef]
  45. Yu, Y.; Gui, Y.; Li, Z.; Jiang, C.; Guo, J.; Niu, D. Induced systemic resistance for improving plant immunity by beneficial microbes. Plants 2022, 11, 386. [Google Scholar] [CrossRef]
  46. Köhl, J.; Kolnaar, R.; Ravensberg, W.J. Mode of action of microbial biological control agents against plant diseases: Relevance beyond efficacy. Front. Plant Sci. 2019, 10, 845. [Google Scholar] [CrossRef]
  47. Zhang, Y.; Xu, S.; Ding, P.; Wang, D.; Cheng, Y.T.; He, J.; Gao, M.; Xu, F.; Li, Y.; Zhu, Z.; et al. Control of salicylic acid synthesis and systemic acquired resistance by two members of a plant-specific family of transcription factors. Proc. Natl. Acad. Sci. USA 2010, 107, 18220–18225. [Google Scholar] [CrossRef] [PubMed]
  48. Pieterse, C.M.J.; Zamioudis, C.; Berendsen, R.L.; Weller, D.M.; Van Wees, S.C.M.; Bakker, P.A.H.M. Induced Systemic Resistance by Beneficial Microbes. Annu. Rev. Phytopathol. 2014, 52, 347–375. [Google Scholar] [CrossRef]
  49. Trevisan, S.; Francioso, O.; Quaggiotti, S.; Nardi, S. Humic substances biological activity at the plant-soil interface: From environmental aspects to molecular factors. Plant Signal. Behav. 2010, 5, 635–643. [Google Scholar] [CrossRef]
  50. Conrath, U. Systemic acquired resistance. Plant Signal. Behav. 2006, 1, 179–184. [Google Scholar] [CrossRef]
  51. Wang, D.; Dong, W.; Murray, J.; Wang, E. Innovation and appropriation in mycorrhizal and rhizobial symbioses. Plant Cell 2022, 34, 1573–1599. [Google Scholar] [CrossRef] [PubMed]
  52. Smith, E.; Read, D.J. Mycorrhizal Symbiosis; Academic press: Cambridge, MA, USA, 2010. [Google Scholar] [CrossRef]
  53. Ertani, A.; Pizzeghello, D.; Francioso, O.; Sambo, P.; Sanchez-Cortes, S.; Nardi, S. Capsicum chinensis L. growth and nutraceutical properties are enhanced by biostimulants in a long-term period: Chemical and metabolomic approaches. Front. Plant Sci. 2014, 5, 375. [Google Scholar] [CrossRef] [PubMed]
  54. Ahmad, H.M.; Fiaz, S.; Hafeez, S.; Zahra, S.; Shah, A.N.; Gul, B.; Aziz, O.; Rahman, M.U.; Fakhar, A.; Rafique, M.; et al. Plant growth-promoting rhizobacteria eliminate the effect of drought stress in plants: A review. Front. Plant Sci. 2022, 13, 875774. [Google Scholar] [CrossRef] [PubMed]
  55. Bashan, Y. Inoculants of plant growth-promoting bacteria for use in agriculture. Biotechnol. Adv. 1998, 16, 729–770. [Google Scholar] [CrossRef]
  56. Aydin, A.; Kant, C.; Turan, M. Humic acid application alleviate salinity stress of bean (Phaseolus vulgaris L.) plants de-creasing membrane leakage. Afr. J. Agric. Res. 2012, 7, 1073–1086. [Google Scholar]
  57. Nabi, R.B.S.; Shahzad, R.; Tayade, R.; Shahid, M.; Hussain, A.; Ali, M.W.; Yun, B.-W. Evaluation potential of PGPR to protect tomato against Fusarium wilt and promote plant growth. PeerJ 2021, 9, e11194. [Google Scholar] [CrossRef]
  58. Ilangumaran, G.; Smith, D.L. Plant growth promoting rhizobacteria in amelioration of salinity stress: A systems biology perspective. Front. Plant Sci. 2017, 8, 1768. [Google Scholar] [CrossRef]
  59. Palacio-Rodríguez, R.; Sáenz-Mata, J.; Trejo-Calzada, R.; Ochoa-García, P.P.; Arreola-Ávila, J.G. Halotolerant rhizobacteria promote plant growth and decrease salt stress in Carya illinoinensis (Wangenh.) K. Koch. Agronomy 2023, 13, 3045. [Google Scholar] [CrossRef]
  60. Ramasamy, K.P.; Mahawar, L. Coping with salt stress-interaction of halotolerant bacteria in crop plants: A mini review. Front. Microbiol. 2023, 14, 1077561. [Google Scholar] [CrossRef] [PubMed]
  61. Jahed, K.R.; Saini, A.K.; Sherif, S.M. Coping with the cold: Unveiling cryoprotectants, molecular signaling pathways, and strategies for cold stress resilience. Front. Plant Sci. 2023, 14, 1246093. [Google Scholar] [CrossRef]
  62. Bremer, E. Adaptation to changing osmolarity. In Bacillus Subtilis and Its Closest Relatives; Sonen-shein, A.L., Hoch, J.A., Losick, R., Eds.; ASM Press: Washington, DC, USA, 2002; pp. 385–391. [Google Scholar]
  63. Jian, P.; Zha, Q.; Hui, X.; Tong, C.; Zhang, D. Research progress of arbuscular mycorrhizal fungi improving plant resistance to temperature stress. Horticulturae 2024, 10, 855. [Google Scholar] [CrossRef]
  64. Sofo, A.; Scopa, A.; Manfra, M.; De Nisco, M.; Tenore, G.; Troisi, J.; Di Fiori, R.; Novellino, E. Trichoderma harzianum strain T-22 induces changes in phytohormone levels in cherry rootstocks (Prunus cerasus × P. canescens). Plant Growth Regul. 2011, 65, 421–425. [Google Scholar] [CrossRef]
  65. Ali, O.; Ramsubhag, A.; Jayaraman, J. Biostimulant properties of seaweed extracts in plants: Implications towards sustainable crop production. Plants 2021, 10, 531. [Google Scholar] [CrossRef]
  66. Ali, S.; Moon, Y.-S.; Hamayun, M.; Khan, M.A.; Bibi, K.; Lee, I.-J. Pragmatic role of microbial plant biostimulants in abiotic stress relief in crop plants. J. Plant Interact. 2022, 17, 705–718. [Google Scholar] [CrossRef]
  67. Sun, W.; Shahrajabian, M.H. The application of arbuscular mycorrhizal fungi as microbial biostimulant, sustainable approaches in modern agriculture. Plants 2023, 12, 3101. [Google Scholar] [CrossRef]
  68. Buga, N.; Petek, M. Use of Biostimulants to Alleviate Anoxic Stress in Waterlogged Cabbage (Brassica oleracea var. capitata)—A Review. Agriculture 2023, 13, 2223. [Google Scholar] [CrossRef]
  69. Ali, S.; Kim, W.-C. Plant growth promotion under water: Decrease of waterlogging-induced ACC and ethylene levels by ACC deaminase-producing bacteria. Front. Microbiol. 2018, 9, 1096. [Google Scholar] [CrossRef] [PubMed]
  70. Yssel, J.; Everaerts, V.; Van Hemelrijk, W.; Bylemans, D.; Setati, M.E.; Lievens, B.; Blancquaert, E.; Crauwels, S. Assessing the potential of seaweed extracts to improve vegetative, physiological and berry quality parameters in Vitis vinifera cv. Chardonnay under cool climatic conditions. PLoS ONE 2025, 20, e0331039. [Google Scholar] [CrossRef]
  71. Tyśkiewicz, R.; Nowak, A.; Ozimek, E.; Jaroszuk-Ściseł, J. Trichoderma: The current status of its application in agriculture for the biocontrol of fungal phytopathogens and stimulation of plant growth. Int. J. Mol. Sci. 2022, 23, 2329. [Google Scholar] [CrossRef]
  72. Zhang, N.; Wang, Z.; Shao, J.; Xu, Z.; Liu, Y.; Xun, W.; Miao, Y.; Shen, Q.; Zhang, R. Biocontrol mechanisms of Bacillus: Improving the efficiency of green agriculture. Microb. Biotechnol. 2023, 16, 2250–2263. [Google Scholar] [CrossRef]
  73. Bandara, A.Y.; Kang, S. Trichoderma application methods differentially affect the tomato growth, rhizomicrobiome, and rhizosphere soil suppressiveness against Fusarium oxysporum. Front. Microbiol. 2024, 15, 1366690. [Google Scholar] [CrossRef]
  74. Ghonim, M. Induction of systemic resistance against Fusarium wilt in tomato by seed treatment with the biocontrol agent Bacillus subtilis. Environ. Microbiol. 2012, 15, 848–864. [Google Scholar] [CrossRef]
  75. Gull, M.; Hafeez, F.Y. Characterization of siderophore producing bacterial strain Pseudomonas fluorescens Mst 8.2 as plant growth promoting and biocontrol agent in wheat. Afr. J. Microbiol. Res. 2012, 6, 6308–6318. [Google Scholar] [CrossRef]
  76. Arinaitwe, U.; Rideout, S.; Langston, D. Cultural Management of Late Blight (Phytophthora infestans) in Greenhouse Tomatoes Production. Va. Coop. Ext. 2023. [Google Scholar] [CrossRef]
  77. Hijri, M. Microbial-based plant biostimulants. Microorganisms 2023, 11, 686. [Google Scholar] [CrossRef] [PubMed]
  78. Bauer, M.A.; Kainz, K.; Carmona-Gutierrez, D.; Madeo, F. Microbial wars: Competition in ecological niches and within the microbiome. Microb. Cell 2018, 5, 215–219. [Google Scholar] [CrossRef] [PubMed]
  79. Maini, P. The experience of the first biostimulant, based on amino acids and peptides: A short retrospective review on the laboratory researches and the practical results. Fertil. Agrorum 2006, 1, 29–43. [Google Scholar]
  80. Pereira, L.; Cotas, J.; Gonçalves, A.M. Seaweed Proteins: A Step towards Sustainability? Nutrients 2024, 16, 1123. [Google Scholar] [CrossRef] [PubMed]
  81. Peng, Z.-C.; Xing, Y.-X.; Ma, Y.-H.; Li, S.-H.; Jia, Y.-X.; Yang, H.-C.; Zhang, F.-H. Arbuscular mycorrhizal fungi enhance soybean phosphorus uptake and soil fertility under saline-alkaline stress. Sci. Rep. 2025, 15, 31792. [Google Scholar] [CrossRef]
  82. Wang, Q.; Liu, M.; Wang, Z.; Li, J.; Liu, K.; Huang, D. The role of arbuscular mycorrhizal symbiosis in plant abiotic stress. Front. Microbiol. 2024, 14, 1323881. [Google Scholar] [CrossRef]
  83. Boyno, G.; Danesh, Y.R.; Çevik, R.; Teniz, N.; Demir, S.; Durak, E.D.; Farda, B.; Mignini, A.; Djebaili, R.; Pellegrini, M.; et al. Synergistic benefits of AMF: Development of sustainable plant defense system. Front. Microbiol. 2025, 16, 1551956. [Google Scholar] [CrossRef]
  84. Nleya, T.; Clay, S.A.; Arinaitwe, U. Poor Emergence of Brassica Species in Saline–Sodic Soil Is Improved by Biochar Addition. Agronomy 2025, 15, 811. [Google Scholar] [CrossRef]
  85. Arinaitwe, U.; Nleya, T.M.; Kafle, R.; Clay, S.A. Can Beneficial Microbial, and Biochar Amendments Health and Remediate Plant Salt Stress in Saline Soils? In Proceedings of the ASA, CSSA, SSSA International Annual Meeting, Salt Lake City, UT, USA, 9–12 November 2025. [Google Scholar]
  86. Pan, L.; Cai, B. Phosphate-solubilizing bacteria: Advances in their physiology, molecular mechanisms and microbial community effects. Microorganisms 2023, 11, 2904. [Google Scholar] [CrossRef]
  87. Sharma, A.; Shahzad, B.; Kumar, V.; Kohli, S.K.; Sidhu, G.P.S.; Bali, A.S.; Handa, N.; Kapoor, D.; Bhardwaj, R.; Zheng, B. Phytohormones regulate accumulation of osmolytes under abiotic stress. Biomolecules 2019, 9, 285. [Google Scholar] [CrossRef]
  88. Santaniello, A.; Scartazza, A.; Gresta, F.; Loreti, E.; Biasone, A.; Di Tommaso, D.; Piaggesi, A.; Perata, P. Ascophyllum nodosum seaweed extract alleviates drought stress in Arabidopsis by affecting photosynthetic performance and related gene expression. Front. Plant Sci. 2017, 8, 1362. [Google Scholar] [CrossRef] [PubMed]
  89. Atasoy, M.; Ordóñez, A.Á.; Cenian, A.; Djukić-Vuković, A.; A Lund, P.; Ozogul, F.; Trček, J.; Ziv, C.; De Biase, D. Exploitation of microbial activities at low pH to enhance planetary health. FEMS Microbiol. Rev. 2023, 48, fuad062. [Google Scholar] [CrossRef]
  90. Zhang, K.; Chen, L.; Li, Y.; Brookes, P.C.; Xu, J.; Luo, Y. Interactive effects of soil pH and substrate quality on microbial utilization. Eur. J. Soil Biol. 2020, 96, 103151. [Google Scholar] [CrossRef]
  91. Alghamdi, A.G.; Majrashi, M.A.; Ibrahim, H.M. Improving the physical properties and water retention of sandy soils by the synergistic utilization of natural clay deposits and wheat straw. Sustainability 2023, 16, 46. [Google Scholar] [CrossRef]
  92. Arinaitwe, U.; Frame, W.H.; Reiter, M.; Langston, D.; Tech, W.E.T.V. Refining N Rates and NUE with Commercial BNF in the US Cotton Belt. Virginia Cooperative Extension. 2024. Available online: https://www.researchgate.net/publication/385722649 (accessed on 16 September 2025).
  93. Wang, C.; Kuzyakov, Y. Mechanisms and implications of bacterial–fungal competition for soil resources. ISME J. 2024, 18, wrae073. [Google Scholar] [CrossRef]
  94. Jayaramaiah, R.H.; Martins, C.S.; Egidi, E.; Macdonald, C.A.; Wang, J.-T.; Liu, H.; Reich, P.B.; Delgado-Baquerizo, M.; Singh, B.K. Soil function-microbial diversity relationship is impacted by plant functional groups under climate change. Soil Biol. Biochem. 2025, 200, 109623. [Google Scholar] [CrossRef]
  95. Nannipieri, P.; Hannula, S.E.; Pietramellara, G.; Schloter, M.; Sizmur, T.; Pathan, S.I. Legacy effects of rhizodeposits on soil microbiomes: A perspective. Soil Biol. Biochem. 2023, 184, 109107. [Google Scholar] [CrossRef]
  96. Dadzie, F.A.; Moles, A.T.; Erickson, T.E.; de Lima, N.M.; Muñoz-Rojas, M. Inoculating native microorganisms improved soil function and altered the microbial composition of a degraded soil. Restor. Ecol. 2024, 32, e14025. [Google Scholar] [CrossRef]
  97. Romero-Perdomo, F.; Camelo-Rusinque, M.; Criollo-Campos, P.; Bonilla-Buitrago, R. Effect of temperature and pH on the biomass production of Azospirillum brasilense C16 isolated from Guinea grass. Pastos Y Forraje 2015, 38, 231–233. [Google Scholar]
  98. Koch, A.L. Diffusion the crucial process in many aspects of the biology of bacteria. In Advances in Microbial Ecology; Springer: Boston, MA, USA, 1990; pp. 37–70. [Google Scholar] [CrossRef]
  99. Long, T.; Or, D. Aquatic habitats and diffusion constraints affecting microbial coexistence in unsaturated porous media. Water Resour. Res. 2005, 41. [Google Scholar] [CrossRef]
  100. Arinaitwe, U.; Clay, S.A.; Nleya, T. Growth, yield, and yield stability of canola in the Northern Great Plains of the United States. Agron. J. 2023, 115, 744–758. [Google Scholar] [CrossRef]
  101. Mason-Jones, K.; Robinson, S.L.; Veen, G.F.; Manzoni, S.; van der Putten, W.H. Microbial storage and its implications for soil ecology. ISME J. 2022, 16, 617–629. [Google Scholar] [CrossRef]
  102. Lin, Q.; Zhao, H.M.; Chen, Y.X. Effects of 2,4-dichlorophenol, pentachlorophenol and vegetation on microbial characteristics in a heavy metal polluted soil. J. Environ. Sci. Heal. Part B 2007, 42, 551–557. [Google Scholar] [CrossRef]
  103. Sessitsch, A.; Gyamfi, S.; Tscherko, D.; Gerzabek, M.H.; Kandeler, E. Activity of microorganisms in the rhizosphere of herbicide treated and untreated transgenic glufosinate-tolerant and wildtype oilseed rape grown in containment. Plant Soil 2005, 266, 105–116. [Google Scholar] [CrossRef]
  104. Bajpai, P. The control of microbiological problems. Pulp Pap. Ind. 2015, 17, 103. [Google Scholar] [CrossRef]
  105. Garbeva, P.; van Elsas, J.D.; van Veen, J.A. Rhizosphere microbial community and its response to plant species and soil history. Plant Soil 2008, 302, 19–32. [Google Scholar] [CrossRef]
  106. Arinaitwe, U.; Yabwalo, D.N.; Hangamaisho, A. Advances in Micronutrients Signaling, Transport, and Integration for Optimizing Cotton Yield. Preprints 2025. [Google Scholar] [CrossRef]
  107. Forero, L.E.; Grenzer, J.; Heinze, J.; Schittko, C.; Kulmatiski, A. Greenhouse- and Field-Measured Plant-Soil Feedbacks Are Not Correlated. Front. Environ. Sci. 2019, 7, 184. [Google Scholar] [CrossRef]
  108. Agho, C.; Avni, A.; Bacu, A.; Balazadeh, S.; Baloch, F.S.; Bazakos, C.; Čereković, N.; Chaturvedi, P.; Chauhan, H.; De Smet, I.; et al. Integrative approaches to enhance reproductive resilience of crops for climate-proof agriculture. Plant Stress 2025, 15, 100704. [Google Scholar]
  109. Camli-Saunders, D.; Villouta, C. Root exudates in controlled environment agriculture: Composition, function, and future directions. Front. Plant Sci. 2025, 16, 1567707. [Google Scholar] [CrossRef]
  110. Chen, L.; Liu, Y. The function of root exudates in the root colonization by beneficial soil rhizobacteria. Biology 2024, 13, 95. [Google Scholar] [CrossRef]
  111. Moshelion, M.; Dietz, K.-J.; Dodd, I.C.; Muller, B.; E Lunn, J. Guidelines for designing and interpreting drought experiments in controlled conditions. J. Exp. Bot. 2024, 75, 4671–4679. [Google Scholar] [CrossRef] [PubMed]
  112. Dennis, A.R.; Nunamaker, J.F.; Vogel, D.R. A comparison of laboratory and field research in the study of electronic meeting systems. J. Manag. Inf. Syst. 1990, 7, 107–135. [Google Scholar] [CrossRef]
  113. Aziz, H.A. Comparison between field research and controlled laboratory research. Arch. Clin. Biomed. Res. 2017, 1, 101–104. [Google Scholar] [CrossRef]
  114. Calisi, R.M.; Bentley, G.E. Lab and field experiments: Are they the same animal? Horm. Behav. 2009, 56, 1–10. [Google Scholar] [CrossRef]
  115. Di Mola, I.; Ottaiano, L.; Cozzolino, E.; Senatore, M.; Giordano, M.; El-Nakhel, C.; Sacco, A.; Rouphael, Y.; Colla, G.; Mori, M. Plant-based biostimulants influence the agronomical, physiological, and qualitative responses of baby rocket leaves under diverse nitrogen conditions. Plants 2019, 8, 522. [Google Scholar] [CrossRef]
  116. Garg, S.; Nain, P.; Kumar, A.; Joshi, S.; Punetha, H.; Sharma, P.K.; Siddiqui, S.; Alshaharni, M.O.; Algopishi, U.B.; Mittal, A. Next generation plant biostimulants & genome sequencing strategies for sustainable agriculture development. Front. Microbiol. 2024, 15, 1439561. [Google Scholar] [CrossRef]
  117. Arinaitwe, U.; Thomason, W.; Frame, W.H.; Reiter, M.S.; Langston, D. Optimizing Maize Agronomic Performance Through Adaptive Management Systems in the Mid-Atlantic United States. Agronomy 2025, 15, 1059. [Google Scholar] [CrossRef]
  118. Pérez-Montaño, F.; Alias-Villegas, C.; Bellogín, R.A.; del Cerro, P.; Espuny, M.R.; Jiménez-Guerrero, I.; López-Baena, F.J.; Ollero, F.; Cubo, T. Plant growth promotion in cereal and leguminous agricultural important plants: From microorganism capacities to crop production. Microbiol. Res. 2014, 169, 325–336. [Google Scholar] [CrossRef]
  119. Prasanna, R.; Adak, A.; Verma, S.; Bidyarani, N.; Babu, S.; Pal, M.; Shivay, Y.S.; Nain, L. Cyanobacterial inoculation in rice grown under flooded and SRI modes of cultivation elicits differential effects on plant growth and nutrient dynamics. Ecol. Eng. 2015, 84, 532–541. [Google Scholar] [CrossRef]
  120. Bibi, S.; Saadaoui, I.; Bibi, A.; Al-Ghouti, M.; Abu-Dieyeh, M.H. Applications, advancements, and challenges of cyanobacteria-based biofertilizers for sustainable agro and ecosystems in arid climates. Bioresour. Technol. Rep. 2024, 25, 101789. [Google Scholar] [CrossRef]
  121. Maliki, S.; Al-Zabee, M.; Muter, D.M.; Jabbar, M.K.; Al-Mammori, H.Z.; Sallal, M. Mycorrhizal fungi and foliar fe fertilization improved soil microbial indicators and eggplant yield in the arid land soils. Plant Cell Biotechnol. Mol. Biol. 2020, 21, 139–154. [Google Scholar]
  122. Ding, Z.; Ren, B.; Chen, Y.; Yang, Q.; Zhang, M. Chemical and biological response of four soil types to lime application: An incubation study. Agronomy 2023, 13, 504. [Google Scholar] [CrossRef]
  123. Visconti, D.; Ventorino, V.; Fagnano, M.; Woo, S.L.; Pepe, O.; Adamo, P.; Caporale, A.G.; Carrino, L.; Fiorentino, N. Compost and microbial biostimulant applications improve plant growth and soil biological fertility of a grass-based phytostabilization system. Environ. Geochem. Health 2023, 45, 787–807. [Google Scholar] [CrossRef]
  124. Antón-Herrero, R.; Vega-Jara, L.; García-Delgado, C.; Mayans, B.; Camacho-Arévalo, R.; Moreno-Jiménez, E.; Plaza, C.; Eymar, E. Synergistic effects of biochar and biostimulants on nutrient and toxic element uptake by pepper in contaminated soils. J. Sci. Food Agric. 2022, 102, 167–174. [Google Scholar] [CrossRef]
  125. Bilias, F.; Tsolis, V.; Zafeiriou, I.; Koukounaras, A.; Kalderis, D.; Chlouveraki, E.; Gasparatos, D. Effects of sewage sludge biochar and a seaweed extract-based biostimulant on soil properties, nutritional status and antioxidant capacity of lettuce plants in a saline soil with the risk of alkalinization. J. Soil Sci. Plant Nutr. 2024, 24, 7271–7287. [Google Scholar] [CrossRef]
  126. Zaghloul, E.A.M.; Awad, E.-S.A.; Mohamed, I.R.; El-Hameed, A.M.A.; Feng, D.; Desoky, E.-S.M.; Algopishi, U.B.; Al Masoudi, L.M.; Elrys, A.S.; Mathew, B.T.; et al. Co-application of organic amendments and natural biostimulants on plants enhances wheat production and defense system under salt-alkali stress. Sci. Rep. 2024, 14, 29742. [Google Scholar] [CrossRef]
  127. Readyhough, T.; Neher, D.A.; Andrews, T. Organic Amendments alter soil hydrology and belowground microbiome of tomato (Solanum lycopersicum). Microorganisms 2021, 9, 1561. [Google Scholar] [CrossRef]
  128. Ogbonnaya, U.; Semple, K.T. Impact of biochar on organic contaminants in soil: A tool for mitigating risk? Agronomy 2013, 3, 349–375. [Google Scholar] [CrossRef]
  129. Bossolani, J.W.; Crusciol, C.A.C.; Merloti, L.F.; Moretti, L.G.; Costa, N.R.; Tsai, S.M.; Kuramae, E.E. Long-term lime and gypsum amendment increase nitrogen fixation and decrease nitrification and denitrification gene abundances in the rhizosphere and soil in a tropical no-till intercropping system. Geoderma 2020, 375, 114476. [Google Scholar] [CrossRef]
  130. Wu, L.; Li, R.; Liu, J.; Cui, W.; Qi, Z.; Zhou, W. Nitrogen Immobilization by Wood Fiber Substrates Strongly Affects the Photosynthetic Performance of Lettuce. Plants 2025, 14, 1518. [Google Scholar] [CrossRef] [PubMed]
  131. Chen, D.; Wang, X.; Carrión, V.J.; Yin, S.; Yue, Z.; Liao, Y.; Dong, Y.; Li, X. Acidic amelioration of soil amendments improves soil health by impacting rhizosphere microbial assemblies. Soil Biol. Biochem. 2022, 167, 108599. [Google Scholar] [CrossRef]
  132. Rousk, J.; Brookes, P.C.; Bååth, E. Contrasting soil pH effects on fungal and bacterial growth suggest functional redundancy in carbon mineralization. Appl. Environ. Microbiol. 2009, 75, 1589–1596. [Google Scholar] [CrossRef] [PubMed]
Figure 1. A Decision Framework for Biostimulants.
Figure 1. A Decision Framework for Biostimulants.
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Table 1. Classification of common biostimulant categories, their sources, modes of action, and example products.
Table 1. Classification of common biostimulant categories, their sources, modes of action, and example products.
CategoryPrimary SourcesTypical Mode of Action (MOA)Example Products & Formulations
Microbial Biostimulants
PGPRBacillus, Pseudomonas, Azospirillum, RhizobiumNutrient solubilization, N-fixation, phytohormone production, Induced Systemic Resistance (ISR)Utrisha™ N (liquid), TerraMax (granular)
Beneficial FungiMycorrhizae (AMF), TrichodermaEnhanced root surface area, nutrient/water uptake, pathogen antagonismTrianum™ (powder), MycoApply® (granules, powder)
Non-Microbial Biostimulants
Humic SubstancesLeonardite, peat, compostImprove soil CEC & structure, nutrient uptake, hormone-like activityHumifirst (liquid), (granular)
Seaweed ExtractsBrown algae: Ascophyllum nodosumBetaines, polysaccharides, and phytohormones enhance stress toleranceAcadian (liquid), Kelpak® (liquid)
Protein HydrolysatesAnimal/plant by-productsSource of bioavailable N, chelating agents, stress metabolite precursorsTerra-Sorb® (liquid)
Inorganic CompoundsMineral depositsStructural integrity (Si), induced resistance (Phosphites)Sil-Matrix® (liquid), Nutri-Phite® (liquid)
Acronyms: CEC = Cation exchange capacity. Note. The product list is given as an example not to promote the product.
Table 2. Key Modes of Action for Major Biostimulant Categories.
Table 2. Key Modes of Action for Major Biostimulant Categories.
Biostimulant CategoryPrimary Modes of Action (MOA)Key Bioactive Compounds/Mechanism
PGPR (e.g., Bacillus,
Pseudomonas)
N-fixation, P-solubilization, Phytohormone production (IAA), ISR, AntibiosisIAA, Siderophores, ACC deaminase, Antibiotics, Exopolysaccharides
Beneficial Fungi (AMF, Trichoderma)Enhanced nutrient/water uptake, Pathogen antagonism, ISRExtensive hyphal network, Mycoparasitism, Chitinase enzymes
Seaweed ExtractsOsmotic adjustment, Antioxidant defense, Phytohormone-like activityBetaines, Polysaccharides (alginates, laminarin), Cytokinins, Auxins
Humic SubstancesImproved soil CEC, Root membrane permeability, Nutrient chelationHumic acids, Fulvic acids, Polyphenols
Protein Hydrolysates/Amino AcidsChelation, Osmoregulation, Metabolic precursorsFree L-amino acids, Peptides, Organic Nitrogen
ChitosanElicitation of plant defenses (SAR), Antimicrobial activityChitin derivatives, Oligosaccharides
Table 4. Efficacy of Biostimulants in Mitigating Biotic and Physiological Stresses.
Table 4. Efficacy of Biostimulants in Mitigating Biotic and Physiological Stresses.
Stress CategorySpecific
Challenge
Effective Biostimulant TypesPrimary Mechanism of ActionReference
Biotic StressSoil-borne pathogens (e.g., Fusarium, Pythium)Trichoderma spp., PGPR (Bacillus, Pseudomonas)Mycoparasitism, Competition, Antibiosis, Induced Systemic Resistance (ISR)[64,78]
Insect pests (e.g., aphids, mites)Chitosan, Phenolic-rich plant extractsCell wall signification, Induction of defensive secondary metabolites[74,75]
Physiological StressNutrient deficiency (e.g., P, Fe, Zn)AMF, Humic substances, PSBNutrient solubilization, Chelation, Enhanced root surface area[82,83]
Transplant shockAmino acids, Seaweed extractsSupply of organic N, Stimulation of root regeneration[79]
Poor fruit set/floweringAmino acids, Microbial consortiaImproved pollen viability, Hormonal modulation[53]
Physical injury (hail, wind)Amino acids, Seaweed extractsCallus formation, Energy metabolism recovery[8]
Table 5. Crop-Specific Biostimulant Recommendations.
Table 5. Crop-Specific Biostimulant Recommendations.
Crop TypeKey ChallengesRecommended TypesApplication Method
CerealsEarly establishment, nutrient efficiencyPGPR, Humic acidsSeed treatment, in-furrow
LegumesBiological nitrogen fixationSpecific rhizobiaSeed inoculation
VegetablesSoil diseases, transplant shock, qualityTrichoderma, AMF, Seaweed extractsSoil incorporation, foliar
PlantationsLong-term soil health, periodic stressHumic substances, AMF, Seaweed extractsBroadcast granules, foliar
Note. These are not static recommendations; consider reviewing product label.
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Arinaitwe, U.; Yabwalo, D.N.; Hangamaisho, A. Unlocking the Potential of Biostimulants: A Review of Classification, Mode of Action, Formulations, Efficacy, Mechanisms, and Recommendations for Sustainable Intensification. Int. J. Plant Biol. 2025, 16, 122. https://doi.org/10.3390/ijpb16040122

AMA Style

Arinaitwe U, Yabwalo DN, Hangamaisho A. Unlocking the Potential of Biostimulants: A Review of Classification, Mode of Action, Formulations, Efficacy, Mechanisms, and Recommendations for Sustainable Intensification. International Journal of Plant Biology. 2025; 16(4):122. https://doi.org/10.3390/ijpb16040122

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Arinaitwe, Unius, Dalitso Noble Yabwalo, and Abraham Hangamaisho. 2025. "Unlocking the Potential of Biostimulants: A Review of Classification, Mode of Action, Formulations, Efficacy, Mechanisms, and Recommendations for Sustainable Intensification" International Journal of Plant Biology 16, no. 4: 122. https://doi.org/10.3390/ijpb16040122

APA Style

Arinaitwe, U., Yabwalo, D. N., & Hangamaisho, A. (2025). Unlocking the Potential of Biostimulants: A Review of Classification, Mode of Action, Formulations, Efficacy, Mechanisms, and Recommendations for Sustainable Intensification. International Journal of Plant Biology, 16(4), 122. https://doi.org/10.3390/ijpb16040122

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