The Cucumber aphid (Myzus persicae), a destructive cucumber aphid usually managed by chemical pesticides, is responsible for enormous annual agricultural losses. A protein elicitor, PeBL1, was investigated in the present work for its ability to induce a defense response against M. persicae in cucumber. The rates of population growth (Intrinsic rate of increase) of M. persicae (second and third generations) decreased with PeBL1-treated cucumber seedlings as compared to positive (water) and negative 70.58 μg mL⁻¹ controls (50 mM Tris-HCl, pH 8.0). In an assay on host selection, M. persicae had a preference for colonizing control plants as compared to the PeBL1-treated cucumber seedlings. The nymphal development time of the aphid was extended with the PeBL1-treated cucumber seedlings. Likewise, fecundity was reduced, with less offspring produced in the PeBL1-treated cucumber seedlings as compared to the positive (water) and negative 70.58 μg mL⁻¹ controls (50 mM Tris-HCl, pH 8.0). The cucumber leaves treated with PeBL1 had a hazardous surface environment for M. persicae, caused by trichomes and wax formation. Jasmonic acid (JA), salicylic acid (SA), and ethylene (ET) levels were significantly higher, exhibiting significant accumulation in the PeBL1-treated cucumber seedlings. The following results showed that PeBL1 considerably altered the height of the cucumber plant and the surface structure of the leaves to minimize M. persicae reproduction, and it prevented colonization. Defensive processes also included the activation of pathways (JA, SA, and ET). This study provides evidence of biocontrol for the use of PeBL1 in cucumber defense against M. persicae.

Rhizoctonia solani is a significant pathogen affecting various crops, including tobacco. In this study, a bacterial strain, namely Y246, was isolated from the soil of healthy plants and exhibited high antifungal activity. Based on morphological identification and DNA sequencing, this bacterial strain was identified as Bacillus safensis. The aim of this investigation was to explore the antifungal potential of strain Y246, to test the antifungal stability of Y246 by adjusting different cultivation conditions, and to utilize gas chromatography–mass spectrometry (GC-MS) to predict the volatile compounds related to antifungal activity in Y246. In vitro assays demonstrated that strain Y246 exhibited a high fungal inhibition rate of 76.3%. The fermentation broth and suspension of strain Y246 inhibited the mycelial growth of R. solani by 66.59% and 63.75%, respectively. Interestingly, treatment with volatile compounds derived from the fermentation broth of strain Y246 resulted in abnormal mycelial growth of R. solani. Scanning electron microscopy analysis revealed bent and deformed mycelium structures with a rough surface. Furthermore, the stability of antifungal activity of the fermentation broth of strain Y246 was assessed. Changes in temperature, pH value, and UV irradiation time had minimal impact on the antifungal activity, indicating the stability of the antifungal activity of strain Y246. A GC-MS analysis of the volatile organic compounds (VOCs) produced by strain Y246 identified a total of 34 compounds with inhibitory effects against different fungi. Notably, the strain demonstrated broad-spectrum activity, exhibiting varying degrees of inhibition against seven pathogens (Alternaria alternata, Phomopsis. sp., Gloeosporium musarum, Dwiroopa punicae, Colletotrichum karstii, Botryosphaeria auasmontanum, and Botrytis cinerea). In our extensive experiments, strain Y246 not only exhibited strong inhibition against R. solani but also demonstrated remarkable inhibitory effects on A. alternata-induced tobacco brown spot and kiwifruit black spot, with impressive inhibition rates of 62.96% and 46.23%, respectively. Overall, these findings highlight the significant antifungal activity of B. safensis Y246 against R. solani. In addition, Y246 has an excellent antifungal stability, with an inhibition rate > 30% under different treatments (temperature, pH, UV). The results showed that the VOCs of strain Y246 had a strong inhibitory effect on the colony growth of R. solani, and the volatile substances produced by strain Y246 had an inhibitory effect on R. solani at rate of 70.19%. Based on these results, we can conclude that Y246 inhibits the normal growth of R. solani. These findings can provide valuable insights for developing sustainable agricultural strategies.

The increasing challenges posed by pest infestations in contemporary agriculture demand sustainable alternatives to conventional pesticides. Biological control (BC), which utilizes natural enemies (NEs) such as predators and parasitoids, offers an eco‐friendly approach to pest management. However, large‐scale production of NEs faces significant challenges, including high costs, time‐consuming processes, and inconsistent quality. Artificial intelligence (AI) is increasingly being applied in modern agriculture to enhance the efficient mass production of NEs for BC. By leveraging automation, machine learning (ML), computer vision, and real‐time data analytics, AI can improve key aspects of NEs production, including diet formulation, environmental control, behavioral monitoring, and quality assurance. AI‐driven systems promote consistency and scalability in NE manufacturing, while adaptive feedback mechanisms enable continuous process optimization. Furthermore, AI supports the development of predictive models and customized distribution strategies, ensuring the timely and effective deployment of NEs. Despite challenges such as high initial investment and limited data availability, the integration of AI in NEs production holds considerable promise for cost‐effective, scalable, and sustainable BC strategies. This review explores the intersection of AI and BC, highlighting current applications, key challenges, and future opportunities in AI‐enhanced BC and NEs mass production. It synthesizes recent advancements and identifies research gaps, providing a comprehensive overview of AI's evolving impact on crop protection. By optimizing NE production and reducing dependence on chemical inputs, AI contributes to improved biodiversity, alignment with global sustainability goals, and a more resilient agricultural future. These insights are valuable for researchers, practitioners, and policymakers working toward sustainable and inclusive pest management solutions. © 2025 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Myzus persicae, a destructive aphid of tomato usually managed by chemical pesticides, is responsible for huge annual losses in agriculture. In the current work, a protein elicitor, PeBL1, was investigated for its capacity to induce a defense response against M. persicae in tomato. Population growth rates of M. persicae (second and third generation) decreased with PeBL1 treatments as compared with controls. In a host selection assay, M. persicae showed preference for colonizing control plants as compared to tomato seedlings treated with PeBL1. Tomato leaves treated with PeBL1 gave rise to a hazardous surface environment for M. persicae due to formation of trichomes and wax. Jasmonic acid (JA), salicylic acid (SA), and ethylene (ET) showed significant accumulation in tomato seedlings treated by PeBL1. The following results showed that PeBL1 significantly modified the tomato leaf surface structure to reduce reproduction and deter colonization by M. persicae. Defense processes also included activation of JA, SA, and ET pathways. The study provides evidence for use of PeBL1 in the protection of tomato from M. persicae.

Rhododendron simsii (indoor azalea) is widely cultivated for its high ornamental value (Xu et al. 2021). In April to May 2023, a leaf spot disease occurred in a field study at the Baili Azalea Forest Area (27°12'N, 105°48'E), Guizhou Province, China. About 500 plants were investigated, and the results showed that the incidence of leaf spot was 20 ~ 30%. To study this disease, 10 plants showing severe symptoms were collected. Initially, the symptoms were round or irregularly shaped brown spots (1 to 10 mm). With time, the spots enlarged and merged. Symptomatic leaves were washed with sterile distilled water, and 5 × 5 mm pieces of the infected tissues were removed. After surface sterilization (30 s with 75% ethanol, 2 min with 3% NaOCl, then washed three times with sterilized distilled water), the leaf pieces were dried and placed on potato dextrose agar (PDA) and incubated at 25℃ for 5 days. Fungal colonies developed from leaf tissues, and the germinated spores were transferred onto PDA for further purification and morphological observation. Three isolates (GUBJ23, GUBJ24, and GUBJ12) with similar morphology were obtained from five affected leaves. The representative strain GUBJ23 was selected for further study. On PDA the mycelium was initially white but with sporulation turned gray and then black. Black, single-celled conidia, spherical to sub-spherical, from 11.80 to 21.39 × 13.38 to 21.83 μm (n = 50) in diameter were borne singly on hyaline vesicles at the tips of conidiophores. These morphological characteristics were similar to those of Nigrospora sphaerica (Wang et al. 2017). To confirm the identification, primer pairs for the internal transcribed spacer (ITS) region (ITS5/ITS4), β-tubulin (TUB2) (Bt-2a/Bt-2b), and the translation elongation factor 1-alpha (TEF1-α) (EF1-728F/EF1-986R), were used for PCR amplification of DNA from strain GUBJ23 (Carbone and Kohn 1999; Glass et al. 1995; White et al. 1990). The resulting sequences were deposited in GenBank with accession numbers OR818025 (ITS), OR835150 (TUB2), and OR835147 (TEF1-α). BLAST searches of the sequences revealed 99.80% identity (503/504 bp) of the ITS sequence, 100.00% identity (395/395 bp) of the TUB2 sequence, and 100.00% identity of the TEF1-α sequence (241/241 bp) with N. sphaerica LC7294 (accessions KX985932, KY019602, and KY019397, respectively.) Based on a combined dataset of ITS, TEF1-α, and TUB2 sequences, a phylogenetic tree was constructed using the maximum likelihood method and confirmed that isolates GUBJ23, GUBJ24, and GUBJ12 were N. sphaerica (Wang et al. 2017). Leaves of three healthy R. simsii plants were spray-inoculated with a spore suspension (105 conidia/mL), and an additional three plants were sprayed with sterile water. These plants were incubated at 25℃ in 75% relative humidity. After 5 to 7 days of inoculation, 0.5 to 1.8 mm spots appeared on the leaves. At 10 to 14 days after inoculation, grayish brown, semicircular or irregular lesions appeared on the leaves, usually with a diameter of 0.8 to 3 mm. The symptoms were like symptoms seen on naturally infected leaves, while the control leaves remained asymptomatic. The pathogen was re-isolated from diseased leaves and identified by morphological characterization and molecular analyses (ITS, TUB and TEF1-α), and the reisolated pathogen was identical to N. sphaerica. Thus completing Koch's postulates. According to previous research, N. sphaerica is a widely distributed phytopathogenic fungus that has a wide host range (Wang et al. 2017). This study is the first to identify N. sphaerica as the cause of leaf spot disease in R. simsii. Given the popularity of R. simsii as a pot plant and landscape shrub in Asia and othr regions, the occurrence of leaf spot disease seriously affects its ornamental and economic value. Therefore, it is crucial to establish and implement effective disease management practices to reduce impact of the disease.