Abstract
Diamondback moth (DBM, Plutella xylostella L.) is one of the most damaging pests of cruciferous crops, causing significant economic losses in multiple agri-food production systems globally. The high reproductive potential of DBM, rapid adaptability to diverse ecological zones, and resistance to several synthetic insecticides destabilize their integrated pest management (IPM) efforts. Here, we critically synthesize the current knowledge on DBM research across key IPM thematic areas, including biocontrol, insecticide use, phytochemistry interactions, insect-associated microbiomes and insecticide resistance, as well as the impact of climate alterations. This review has emphasized the importance of evidence based on insecticide applications, which have encouraged the development of resistance and are not sustainable for use in insect population management. However, the availability of other options for biocontrol agents, such as parasitoids, predators, entomopathogens, and host-plant resistance, has also been significant and sustainable for the management of DBM population. Apart from this, the effects of climate fluctuation have increased the spread of DBM population, which has also necessitated the use of adaptive strategies for its management, such as advanced pest surveillance systems, genome editing, and climate resilient cropping systems for breeding resistance to the pest. Despite significant technological advancements, key research gaps remain, including a limited understanding of DBM interactions with phytopathogens, as well as the socio-economic and policy-related barriers that hinder the adoption of IPM. Hence, future goal for DBM control would be implementing robust, sustainable, eco-friendly, and technology-driven approaches to reduce the development of resistance to conventional insecticides and achieving maximum control effects. Future approaches should focus on multidisciplinary collaboration, farmer awareness, and policy support to improve sustainable DBM management. In conclusion, our review provides practical information for improving IPM strategies against DBM populations, ensuring food security, and developing long-term resilience of plant production systems under increasing ecological and climate change pressures.
Graphical Abstract
1 Introduction
Vegetable crops are essential to global agriculture, serving as a key source of human nutrition while contributing significantly to household incomes and national economies. Their importance extends beyond dietary sustenance, supporting economic growth through both domestic and international trade (). Among vegetable crops, brassicas, such as kale, cabbage, broccoli, brussels sprouts, and cauliflower are particularly important due to their high nutritional value and adaptability to diverse vegetable production systems (Sivapragasam et al., 2010; Satheesh and Fanta, 2020). For example, cabbage is rich in carbohydrates, proteins, dietary fibers, and essential micronutrients, including vitamins C and K, calcium, and potassium (Li et al., 2024). Similarly, kale contains abundant antioxidants, flavonoids, and bioactive compounds that support metabolic and cardiovascular health (Wang et al., 2022). Furthermore, brassicas serve as staple dietary crops in many regions of the globe where alternative nutritional sources are limited (Halder and Seni, 2021; ; ). In the USA, these leafy green crops not only bolster nutritional balance but also contribute to a major component of agricultural revenues because of increasing market demand (Thavarajah et al., 2016; Nunes and Deliberador, 2025). Favorable climatic conditions, biotechnological advancements, and growing consumer awareness of health benefits have collectively driven a substantial increase in brassica production. According to the Food and Agriculture Organization Corporate Statistical Database (FAOSTAT), the annual value of brassica production in the world ranges from $26 billion to over $67.5 billion (FAO, 2025).
Infestations by diamondback moth (DBM; Plutella xylostella L., Lepidoptera: Plutellidae) continue to pose challenges to brassica production globally (Hopkins et al., 2009; ; ). DBM larval feeding causes the characteristic ‘windowpane’ damage on leaves, reducing crop marketability. Moreover, the short generation time, high fecundity, and wide ecological adaptability of DBM create persistent population pressure across production systems (Grzywacz et al., 2010; Jurat-Fuentes et al., 2021). DBM has rapidly evolved resistance to multiple insecticide classes and, therefore, raises production costs, reduces control efficacy, and causes greater environmental pollution (Liu et al., 2012; Jiang et al., 2015; Riley et al., 2020; ; Shehzad et al., 2023; Dunn et al., 2024). Consequently, DBM is considered one of the most insecticide-resistant agricultural pests globally, with resistance documented against numerous insecticide classes (Elzen and Hardee, 2003; Ziska and McConnell, 2016; Shakeel et al., 2017; ; ). The overuse of chemical insecticides has intensified selection pressure, further increasing resistance development in DBM populations worldwide. In addition, the other adverse effects of synthetic pesticides include damage to soil health, reduced arthropod populations such as pollinators and natural enemies, and pose risks to human and animal health, water bodies, and overall agri-environmental sustainability (; Rani et al., 2021; Lengai et al., 2022; Karaoğlan et al., 2024).
The current devastating impact of DBM on crops and the declining efficacy of conventional insecticides clearly demonstrate the urgent need for ecologically based sustainable pest management frameworks. Thus, better integration of biocontrol, host-plant resistance, cultural measures, and novel emerging digital technologies is critical for developing sustainable and robust, integrated pest management (IPM) programs against DBM. Parasitoids such as Diadegma, Apanteles, Diadromus, Cotesia, and Oomyzus spp. provide effective population-level suppression via stage-specific parasitism and high host specificity, making them environmentally compatible across diverse production systems (Talekar and Shelton, 1993; Sarfraz et al., 2005; Grzywacz et al., 2010; ; Scaramozzino et al., 2017; Jurat-Fuentes et al., 2021; Paudel et al., 2022). Furthermore, microbial control agents, including entomopathogenic fungi (EPF) such as Beauveria bassiana and Metarhizium anisopliae, as well as bacterial formulations of Bacillus thuringiensis (Bt), are increasingly recognized as substantial biocontrol tools for DBM management. For example, Bt subspecies such as Bt Aizawai and Bt Kurstaki produce multiple insecticidal proteins, including crystal (Cry) proteins and vegetative insecticidal proteins (Vip) etc., that specifically target DBM larvae, providing selective and environmentally safer alternatives (Palma et al., 2014; Shahid et al., 2021; Panwar and Szczepaniec, 2024), compared to synthetic pesticides. Furthermore, some Bt strains remain effective against insecticide resistant DBM (). Similarly, EPFs infect pests and can significantly increase mortality under favorable environmental conditions (Elzen and Hardee, 2003; ).
Another important component of agroecological pest control approaches involves optimizing agronomic practices such as crop rotation, intercropping, mixture cropping, and the use of cover crops. These cultural practices also favor bottom-up enhancement of soil health and create suitable habitats for natural enemies via the emission of plant-derived phytochemicals and volatile organic compounds (VOCs) (Teasdale and Daughtry, 1993; ; Zhou et al., 2024; Mäkinen et al., 2024). For instance, intercropping with aromatic companion plants, such as, sweet alyssum (Lobularia maritima) and virginia pepperweed (Lepidium virginicum) increase VOCs emission, disrupt insect-pest behavior, while improving the efficiency of natural enemies attraction and activity, ultimately reducing insect-pest densities (Zhong et al., 2024). Likewise, VOC-rich cover crops contribute to semiochemical landscapes that deter herbivorous pests while enhancing biological control services (Gurr et al., 2016; Mena and Gospodarek, 2024; Lamzira et al., 2025). In push-pull systems, repellent intercrops “push” DBM away from the main crop, whereas attractive trap plants “pull” the pest toward alternative hosts, thereby reducing infestation pressure and crop damage (Mayanglambam et al., 2021). Furthermore, recent advancements in digital technologies, including artificial intelligence (AI)-driven and real-time pest monitoring (e.g., AI-powered traps), automated drones (e.g., monitoring, trapping, targeted and precise pesticide applications etc.), predictive modeling tools, are expected to further enhance the efficiency and sustainability of DBM management programs.
Despite these advances, significant knowledge gaps still exist, particularly concerning the scalability of agroecological interventions, the interactions among companion planting, and natural enemies, as well as insecticides and their resilience to changing climatic conditions (Razo-Belman and Ozuna, 2023). Therefore, this review critically examines the agroecological impacts, emerging issues, and sustainable control strategies for DBM in cruciferous crops. Specifically, the review aims to: [1] evaluate the impact of insecticide resistance in DBM; [2] assess biological, cultural, and microbial control methods within IPM frameworks for sustainable management of DBM; [3] examine the role of phytochemistry and climatic changes in DBM suppression; and [4] identify key knowledge gaps and future research directions. By addressing these objectives, this review provides important insights into mitigating the growing impact of DBM populations, thereby paving the way for sustainable agricultural systems that improve vegetable crop productivity, and food safety and security. In addition, this review is distinguished by its cross-disciplinary synthesis of DBM IPM research, linking resistance evolution, biological control, plant defense, microbiome effects, and climate change impacts.
2 Impact of diamondback moth feeding on plant development systems
The feeding behavior and infestation characteristics of DBM larvae in cruciferous crops are well documented. Common symptoms include small irregular holes in leaves, windowpane damage (leaf skeletonization), tissue loss due to leaf defoliation, stunted growth, damage to buds and growing points, and poor quality of harvested products (Table 1). During severe infestations, leaves may appear ragged, leading to decreased photosynthetic ability and impaired plant development, leading to substantial yield losses (Paudel et al., 2022; ). Despite the extensive damage caused by DBM larval feeding, its role in the direct transmission of phytopathogens such as viruses, fungi, and bacteria, remains unclear (Table 1). Current evidence indicates that DBM does not act as a biological vector of plant pathogens in vegetable cropping systems (Paudel et al., 2022; ). Unlike other insect-pests such as aphids and/or whiteflies, DBM lacks the physiological mechanisms needed to transmit pathogens internally through feeding or reproduction. However, indirect transmission of secondary infections may likely be possible, as DBM larval feeding inflicts significant wounds on plant tissues. These injuries may create entry points for opportunistic pathogens present in the surrounding environments. Such conditions may predispose plants to secondary infections, especially in high humidity or poor field sanitation practices. While these infections may aggravate crop deterioration, a definitive causal relationship has not been proven between DBM and specific pathogen introduction or systemic dissemination. Nevertheless, the main challenge associated with DBM infestation remains the severe foliar damage and leaf skeletonization (Table 1) (Troczka et al., 2012; ; Jurat-Fuentes et al., 2021; Paudel et al., 2022; ). Meanwhile, the worldwide costs associated with DBM management and residual crop losses have been conservatively estimated at $4 to $5 billion annually. This highlights its status as one of the most destructive pests of brassica crops worldwide (Muthomi et al., 2025; Zalucki et al., 2012).
Table 1
| Impact | DBM damage on plants | References |
|---|---|---|
| Direct feeding damage | Early instar larvae create “windowpane/skeletonization” leaves by consuming the mesophyll tissue and leaving the epidermis intact, leading to total crop failure if left uncontrolled. | Troczka et al. (2012); Jurat-Fuentes et al. (2021); Paudel et al. (2022); Dunn et al. (2024) |
| Stunted plant growth and yield reduction | Larvae feed on plant crowns and growing points, disrupting apical dominance and resulting in stunted growth, reduced vigor, and delayed maturity. | Robin et al. (2017) |
| Feeding on reproductive tissues of the plants (like leaves and buds), can interfere with head formation and growth, resulting in significant yield losses, particularly under heavy infestation in open-field setting. | Sparks et al. (2012); Singh et al. (2012); Shabbir et al. (2021); Paudel et al. (2022) | |
| Insecticide resistance | DBM populations have become resistance to a variety of synthetic insecticides (see Table 2), including organophosphates, pyrethroids, diamides, and spinosyns. Moreover, resistance limits the efficacy to control the DBM and increases susceptibility to pest recurrence. | Sarfraz et al. (2006); Sparks et al. (2012); Wang and Wu (2012); Dunn et al. (2022, ; Jurat-Fuentes et al. (2021) |
| Increased control costs and challenges | The rapid development of resistance genes in DBM necessitates for alternative pest control strategies via IPM (see Tables 3–5). This shift often results in elevated labor demands, increased input costs, and greater reliance on biocontrol agents as well as integrating selective insecticides. | Fathipour and Mirhosseini (2017); Machekano et al. (2020); Dunn et al. (2024) |
Impacts of diamondback moth damage on plants.
DBM, diamondback moth; IPM, integrated pest management.
2.1 Economic and environmental impacts of diamondback moth on crop production
The economic threshold for DBM infestation refers to the pest density at which the cost of crop damage exceeds the cost of implementing control measures. For example, in the USA, this threshold generally ranges from 0.1 to 0.3 larvae per plant, although it varies depending on several factors such as crop type, market value, geographic location, crop growth stage, and overall production costs. Once DBM populations exceed this threshold, farmers are often required to intensify pest management strategies, frequently relying on synthetic pesticides (see Table 2) input for rapid suppression (Furlong et al., 2013; ; Philips et al., 2014; ; ). However, the control method of heavily depending on chemical input poses significant challenges. These include: (1) the rapid development of pesticide resistance, (2) environmental pollution through pesticide runoff and residue build-up, and (3) loss of agro-biodiversity including both above- and belowground organisms due to broad-spectrum toxicity. Such impacts may contribute to soil health degradation, pollution of water bodies, and reductions in beneficial arthropods and soil microorganisms (Perez et al., 2000; Sarfraz et al., 2005, 2006; ; Schellhorn et al., 2014; Furlong et al., 2013; Riley et al., 2020; Lengai et al., 2022). DBM infestations cause considerable yield losses, mainly for farmers who grow cruciferous crops (like cabbage, cauliflower, brussels sprouts, kale, broccoli, among others). According to the USA agricultural sector, DBM plant damage led to significant economic losses that include both direct crop damage and indirect management expenses associated with intensive pest control practices. Direct losses include reduction in marketable produce quality, and increased expenditure on repeated pesticide use, due to visible foliar damage. Moreover, larval feeding behavior also limits photosynthetic efficiency and plant productivity as they prefer tender plant tissue (Furlong et al., 2013; ; Zalucki et al., 2012; Philips et al., 2014).
Table 2
| IRAC group | Chemical insecticides | Active ingredient(s) | Mode of action(s) | Resistance case and pathway | References |
|---|---|---|---|---|---|
| 1A | Carbamates (Acetylcholinesterase inhibitor blockers) - First resistance case study: Java, Indonesia (then: Plutella maculipennis) | Carbaryl, Carbofuran, Isoprocarb, Methomyl, Propoxur | Target: nerve and muscle. Reversible inhibition of acetylcholinesterase (AChE), causing cholinergic overstimulation, paralysis, and death. | -Target-site AChE mutations (Ace1) reducing carbamate binding. -Elevated P450s and esterases enhance detoxification. -Cross-resistance with Organophosphates (OPs) due to shared AChE target. | FAO (1965, 1967); Liu et al. (1982); Yu and Nguyen (1992) |
| 1B | OPs (Acetylcholinesterase inhibitor blockers) - Java, Indonesia - long history of resistance since 1960s | Acephate, Cyanofenphos, Cyanophos, Chlorpyrifos, Chlorpyrifos-Methyl, Dialifos, Diazinon, Dichlorvos, Dimethoate, Dioxabenzofos, Fenitrothion, Malathion, Mephosfolan, Methamidophos, Methidathion, Monocrotophos, Naled, Parathion, Parathion-Methyl, Phenthoate, Phosphamidon, Phoxim, Profenofos, Prothiofos, Quinalphos, Triazophos, Trichlorfon | Target: nerve and muscle. AChE, causing cholinergic overstimulation, paralysis, and death. | Strong natural selection for Ace1 point mutations; increased carboxylesterase activity and GST-mediated detoxification. | FAO (1965, 1968); Liu et al. (1982); Tabashnik et al. (1987); Yu and Nguyen (1992); ; ; Sayyed et al. (2005); Khaliq et al. (2007); Eziah et al. (2008); Nehare et al. (2010); ; Zolfaghari and Ghadamyari (2021); Sonoda et al. (2014); Li et al. (2021) |
| 2A | Organochlorines (GABA-gated blockers) - Environmental/food negative effects registered globally | Aldrin, Dieldrin, Endosulfan, Lindane, Isobenzan, Leptophos | Block GABA-gated chloride channels, causing hyperexcitation, convulsions, and death. | Rdl (Resistant to dieldrin) mutations in GABA receptor subunits reduce sensitivity to GABA antagonists; historical resistance contributes to cross-resistance with subsequent GABA blockers. | FAO (1965, 1967, 1968); Yu and Nguyen (1992); Fernando (1965) |
| 3A | Pyrethroids (Sodium-channel modulators) - First at Malaysia (Cameron Highlands) - 1974–1987 (resistance development reported) | Bifenthrin, Cyhalothrin, Lambda-Cyhalothrin, Cypermethrin, Cypermethrin-Beta, Deltamethrin, Flucythrinate, Permethrin, Esfenvalerate, Fenvalerate, Resmethrin, Tau-Fluvalinate | Delay closure of voltage-gated sodium channels, causing repetitive nerve firing, knockdown, paralysis, and death. | Kdr (Knockdown resistance) mutations in the sodium channel gene (e.g., L1014F) produce Kdr: substantial P450-mediated metabolic detoxification drives high-level resistance. | Khaliq et al. (2007); Liu et al. (2015); Tamilselvan et al. (2021); Yi et al. (2015); Li et al. (2021); ; Tang et al. (1988); ; Eziah et al. (2008); Ninsin (2004); Yu and Nguyen (1992) |
| 3B | Organochlorine (Pyrethroid-like sodium modulators) - First at Java, Indonesia, 1953 (Plutella maculipennis) | DDT (Globally restricted under the Stockholm Convention on Persistent Organic Pollutants, 2004) | Sodium-channel modulator that prolongs nerve excitation, causing paralysis and death. | Mutations in the voltage-gated sodium-channel (VGSC) can confer cross-resistance to both DDT and pyrethroids. The early evolution of DDT resistance laid the foundation for subsequent sodium channel-mediated resistance in DBM populations. | Johnson (1953); Tabashnik et al. (1987); Wang et al. (2023) |
| 4A | Neonicotinoids (nAChR competitive modulators) - Field populations across Asia & Africa (broad) from early 2000’s | Acetamiprid | Competitive agonists of nicotinic acetylcholine receptors, causing continuous nerve stimulation and paralysis. | nAChR subunit mutations reduce ligand binding; overexpression of CYP6 group P450s decreases active ingredient concentrations; observed across Asia and Africa. | Ninsin (2004) |
| 4D | Butenolides (nAChR competitive modulators) - Field populations across Asia & Africa (broad) from early 2000’s | Flupyradifurone | Nicotinic acetylcholine receptor competitive modulators that disrupt normal nerve signaling. | Emerging nAChR structural modifications and metabolic detoxification pathways reduce flupyradifurone efficacy in high-pressure systems. | Wang et al. (2021) |
| 5C | Spinosyns (Nicotinic Acetylcholine receptor allosteric modulators site I - (nAChR) - China, Malaysia & South America resistance - ~2002-2004 (first resistance reports) | Spinosad, Spinetoram | Allosteric activators of nicotinic acetylcholine receptors, causing involuntary muscle contractions and paralysis. | Mutations in nAChR α6 subunit reduce spinosyn sensitivity; strong metabolic resistance (P450s, ABC transporters) documented in multiple continents. | Xia et al. (2014); Jiang et al. (2015); Zhang et al. (2016); Tamilselvan et al. (2021); Wang et al. (2021); Pudasaini et al. (2022); |
| 6 | Avermectins (Glutamate-gated chloride channel allosteric modulators) - Southeast/South Asia - first resistance monitoring reported mid-2000s | Abamectin, Avermectin (general), Emamectin Benzoate, Tervecmectin B, Tervecmectin A | Activate glutamate-gated chloride channels, causing hyperpolarization, paralysis, and death. New modification: Cas9-mediated D472N substitution confers low resistance (2023). | GluCl receptor mutations reduce avermectin binding; enhanced P450 detoxification contributes to field resistance; reduced sensitivity emerging in Asia. | Iqbal et al. (1996); Xu et al. (2020); Gao et al. (2016); Wang et al. (2021); Sun et al. (2023); Zhu et al. (2021); Zhang et al. (2024) |
| 11A | Bt Cry microbial toxins (Microbial insecticides, disruptors of the midgut membrane) - Hawaii, USA (first field resistance to Bt in DBM) | Bt (unspecified), Cry1Aa, Cry1Ab, Cry1Ac, Cry1Ca, Cry1Da, Crystal-CryIC, Bt HD-73 (Crystal or spores), Bt var. kurstaki HD-1, Bt var. kurstaki Javelin, Bt var. aizawai ATTC-HD (1372) Bt var. israelensis | After ingestion, Cry proteins are activated in the midgut, bind gut receptors, form pores, and cause gut lysis. | Loss-of-function mutations in cadherin, ABC transporters (ABCC2/3), and Aminopeptidase N (APN) receptors prevent Cry toxin binding; DBM is first species with field-evolved Bt resistance. | Tang et al. (1999); Sayyed and Wright, 2001, 2004); Sayyed et al. (2001, 2008); Mohan and Gujar (2002); Perez et al. (1997); Iqbal et al. (1996); Xia et al. (2014); Zago et al. (2014); Ribeiro et al. (2012); Wang et al. (2007, 2021); Gong et al. (2010); Guo et al. (2020); Zhu et al. (2016); Zhao et al. (2021) |
| 13 | Pyrroles (Mitochondrial ATP synthase inhibitors) - First in 2015 (Southern China) - Highest (208-fold resistance) | Chlorfenapyr | Disrupt mitochondrial function and energy production, leading to energy depletion and death. | Metabolic shifts affecting mitochondrial function and detoxification enzymes reduce chlorfenapyr efficacy; target-site mutations not yet fully characterized. | Jiang et al. (2015); Zhang et al. (2016); Wang et al. (2021); Lima Neto et al. (2021); Qi et al. (2016) |
| 14A | Nereistoxin analogues - First in Japan and Taiwan (50-to-75-fold resistance) (1981) | Cartap, Thiocyclam | Interfere with nicotinic acetylcholine receptor-mediated nerve transmission, causing paralysis. | Modifications in nAChR ion channel structure decrease binding affinity; cross-resistance linked to neonicotinoid/spinosyn alterations due to overlapping receptor complexes. | Perez et al. (2000); Mohan and Gujar (2003); Ninsin (2004) |
| 15 | Chitin synthesis inhibitors - First in Mizobe, Japan (1990) - Field based resistance registered in Philippines (2010) | Diflubenzuron, Lufenuron, Novaluron, Teflubenzuron, Triflumuron | Inhibit chitin synthesis during molting, leading to abnormal cuticle formation and death. | Alterations in Chitin Synthase 1 (CHS1) gene reduce benzoylurea binding; resistance remains moderate but increases under high application frequency. | Perng et al. (1988); Iqbal et al. (1996); Santos et al. (2011); Tamilselvan et al. (2021) |
| 18 | Diacylhydrazines (Ecdysone agonists) - First reported in China (2006) at laboratory level - Second highest resistance level report in France (2010) | Fufenozide, Tebufenozide | Ecdysone receptor agonists that disrupt molting and metamorphosis. | Resistance is associated with mutations in the ecdysone receptor and the upregulation of detoxification enzymes. However, resistance levels remain relatively low compared with those of neurotoxic insecticide classes. | Sun et al. (2010); Qian et al. (2008); Liu et al. (2015); Li et al. (2021) |
| 21A | METI (Mitochondrial complex I electron transport inhibitors) - Reported low-to-moderate control loss in USA survey (Georgia/Florida) | Tolfenpyrad | Interfere with the electron transport chain by targeting Complex I. | Reduced sensitivity associated with changes in mitochondrial Complex I and metabolic detoxification; field failures observed in southeastern USA. | Riley et al. (2020), Dunn et al. (2024) |
| 22B | Oxadiazines (Voltage-dependent sodium-channel blockers) - First (2006) field-evolved resistance reported in Pakistan/China/Southeast Asia - ~2006–2010s subsequent increases | Indoxacarb, Metaflumizone | Block voltage-dependent sodium channels, causing cessation of nerve impulses and paralysis. | Sodium channel alterations (F1845Y & V1848I mutations) at non-pyrethroid binding sites; enhanced detoxification by P450s; resistance expanding across Asia. | Zhao et al. (2006); Sayyed et al. (2005); Khaliq et al. (2007); Eziah et al. (2008); Khakame et al. (2013); Xia et al. (2014); Wang et al. (2015); Xu et al. (2020); Zhang et al. (2016); Pudasaini et al. (2022); Tamilselvan et al. (2021) |
| 28A | Ryanodine receptor modulators diamides - Resistance mostly in China, Thailand, Philippines, USA (field populations) - ~2012–2014; documented increases through 2024 | Chlorantraniliprole (highly used since last decade), Cyantraniliprole, Flubendiamide, Cyclaniliprole | Activate ryanodine receptors, causing uncontrolled calcium release, muscle paralysis, and death. | Point mutations in the ryanodine receptor (RyR) (e.g. G4946E, I4790M, I4790K) and overexpression of detoxification enzymes (P450s, FMO) confer high levels of resistance; multiple independent field evolutions across Asia, the Americas and Oceania. | Wang and Wu (2012); Zhen-di et al. (2014); Liu et al. (2015); Xiuxia et al. (2018); Mallott et al. (2019); Dunn et al. (2022, ); Pudasaini et al. (2022); ; Zolfaghari et al. (2024); Sonoda and Kataoka (2016); Tamilselvan et al. (2021); Lin et al. (2013) |
| – | Other/unspecified mechanisms | Fipronil (GABA antagonist – IRAC 2B), Methomyl (cross-listed), Thiocyclam (correctly IRAC 14 but sometimes misclassified) | _ | Cross-resistance via Rdl mutations from earlier cyclodiene selection; Fipronil resistance often reflects historical OC exposure patterns. | Sayyed and Wright (2004); Wang et al. (2016); Tamilselvan et al. (2021); |
Chemical insecticide groups, representative active ingredients, and documented global cases of resistance in the diamondback moth.
Besides, the increasing cost of managing DBM has become a financial burden to farmers. Repeated infestations and the growing resistance of DBM populations to insecticides have reduced farm profitability and undermined economic stability. These challenges threaten food safety and security while contributing to broader agroecological concerns (Schellhorn et al., 2014; Zalucki et al., 2012; Philips et al., 2014). To address the economic and ecological challenges associated with DBM, sustainable IPM approaches are essential. IPM promotes long-term agricultural sustainability via integration of biocontrol agents, resistant plant varieties, precise levels of biopesticides, time and dose of insecticide applications, cultural practices, and emerging modern digital technologies. All of these approaches reduce the reliance on large amounts of synthetic chemicals, but maintain healthy agricultural productivity and biodiversity (Schellhorn et al., 2014; Furlong et al., 2013; ). The strategies of habitat management of natural enemies, diversified cropping systems, and the utilization of pest-resistant cultivars are among the most promising methods that can jointly used to suppress DBM populations. The fact that DBM is capable of long-distance migration and dispersal is a threat because it can spread insecticide-resistant strains across different regions. Consequently, what initially appears to be a localized pest outbreak can rapidly develop into a wider transboundary agricultural threat.
3 Biological control of diamondback moth
Biocontrol agents play a crucial role in the sustainable control of DBM in vegetable cropping systems. Unlike chemical insecticides, which can promote insecticide resistance, environmental pollution, and adverse effects on non-target organisms, biological control relies on natural enemies, including predators, parasitoids, and microbial-based pesticides, to suppress DBM populations in an ecologically sustainable and environmentally friendly manner (Shelton et al., 2002; ; Sarfraz et al., 2005; Sithole et al., 2019; Halder and Seni, 2021) (Table 3). These agents not only help control DBM effectively but also supports agroecosystem health by conserving biodiversity and promoting beneficial insects and microorganisms. Their inclusion into other IPM schemes has demonstrated decreased reliance on synthetic pesticides while ensuring long-term pest regulation and improving stability within the ecosystem (Furlong et al., 2004; Sarfraz et al., 2005, 2006).
Table 3
| Biocontrol agents | Target stage: Mode of action in DBM suppression | References | |
|---|---|---|---|
| Parasitoids | Cotesia plutella, Cotesia vestalis, Diadegma insulare, and Diadegma semiclausum | Larvae endoparasitoids: Oviposit into early instar and feed on larvae, cause host mortality before pupation. | Johnson et al. (1988); Mitchell et al. (1999); Sarfraz et al. (2005); |
| Trichogramma spp. | Egg parasitoid: Effective in augmentative releases and prevents larval development. | ||
| Diadromus collaris | Pupal parasitoid: Prevents adult emergence by attacking DBM, contributing to life cycle suppression. | Wang and Liu (2002) | |
| Oomyzus sokolowskii | Gregarious larval parasitoid: Reduced larvae population. | Sarfraz et al. (2005); Sivapragasam et al. (2010) | |
| Predators | Ants: Solenopsis invicta, Tetramorium simillimum, Brachymyrmex bruchi | Larvae and pupae: Contribute to baseline mortality in diversified and small-scale systems. | Farias et al. (2020); Lutinski et al. (2024) |
| Araneae: spiders | Larvae and pupae: A variety of spider species are identified to capture via sit-and-wait hunting, enhance natural regulation of DBM densities in complex habitats. | Patra et al. (2017); Huang et al. (2018) | |
| Hoverflies: Syrphidae | Eggs and early larvae: Feed on eggs and young larvae, reduce survival of DBM, and contribute to indirect pollination. Moreover, some are voracious generalists while others are opportunistic predators. | Tenhumberg and Poehling (1995) | |
| Lacewings: Chrysoperla carnea | Lira et al. (2019); Paudel et al. (2022); Mäkinen et al. (2024) | ||
| Ladybird beetles: Coccinellidae Ring-legged earwig: Euborellia annulipes | |||
| Bacteria | Bacillus thuringiensis | Larvae: Produces Cry toxins that paralyze the midgut epithelium. Cornerstone of microbial agent, but affected by resistance evolution. | Shabbir et al. (2021); Rai and Halder (2023) |
| Fungi | Beauveria bassiana Metarhizium anisopliae | Larvae and adults: Cuticle-penetration and through spore germination causing infection leading to high mortality. Compatible with IPM among other selective insecticides, effective under suitable humidity. | Soth et al. (2022); Shehzad et al. (2021) |
| Virus | Plutella xylostella granulovirus (PlxyGV) | Larvae: Baculovirus infects larvae via ingestion, replicates in host tissues leading to mortality. Environmentally safe and host specific. | Farrar et al. (2007); |
Summary of known natural enemies and biocontrol agents of diamondback moth.
In the case of natural enemies, parasitoids such as Cotesia plutellae and Trichogramma spp. are highly effective against DBM. These parasitoids target larval and egg stages, respectively, and are particularly effective against early instars of DBM. In addition, predators like Solenopsis invicta, Chrysoperla carnea, spiders, lacewings and lady beetles contribute significantly in managing DBM across multiple life stages under open-field environmental conditions (Table 3) (Johnson et al., 1988; Macharia et al., 2005; Philips et al., 2014; Gurr et al., 2016, 2018). It is interesting to note that intercropping corn and canola with alfalfa has proven to greatly enhance parasitoid and predator populations, while reducing DBM density and improving plant yield (Tajmiri et al. 2017). Similarly, sweet alyssum and virginia pepperweed have been shown to attract beneficial insects and support parasitoid and predator populations (Johanowicz and Mitchell, 2000; LaMondia et al., 2002).
Microbial-based control agents, including Bt, B. bassiana, and M. anisopliae, are also alternatives for DBM management. For example, Bt produces Cry and Vip toxins that disrupt the digestive systems of DBM larvae and other susceptible insects. In contrast, EPF infect hosts through spore adhesion, germination, and cuticle penetration, leading to mortality (Table 3) (Grzywacz et al., 2010; Shabbir et al., 2021; Shehzad et al., 2021; Rai and Halder, 2023). Nevertheless, further studies are needed to enhance the efficiency of biocontrol by considering issues such as climatic fluctuations, habitat complexity, and the integration of emerging pest management technologies to enhance the long-term effectiveness of biocontrol programs.
3.1 Challenges in implementing biological control
Despite its enormous potential, the implementation of biocontrol in open field settings faces multiple challenges that limit its broad adoption and efficacy. Environmental variability is one of the major limiting factors. Such field conditions expose biocontrol agents to fluctuating temperatures, UV radiation, rainfall, and humidity, that can negatively affect their survival, reproduction, persistence, and overall efficacy (Machekano et al., 2017). Furthermore, the high reproductive rate of DBM can outpace the suppressive effects of natural enemies, particularly when their populations are insufficient to regulate pest populations, resulting in pest recurrence (Moorthy et al., 2022).
The migratory behavior of DBM further exacerbates control efforts by reintroducing their populations into regions where management strategies had previously achieved effective suppression. Another important concern is the potential ecological risks associated with the introduction of non-native biocontrol agents. Such introductions may disturb local ecosystems, compete with native beneficial species, or adversely affect non-target organisms (Lengai et al., 2022). However, synthetic pesticide applications, which are often used concurrently with biological control agents, can diminish beneficial organisms’ survival, compromising biocontrol efficacy (Machekano et al., 2020; Pasupathi et al., 2022). Recent studies have also recorded the resistance of DBM to microbial agents, like Bt (Table 3). This resistance is largely attributed to the pest’s high genetic plasticity, rapid life cycle, and behavioral adaptations, which facilitate the rapid evolution of resistance (Jurat-Fuentes et al., 2021). Alongside biological and ecological constraints, economic and knowledge-based barriers also impede the adoption of biocontrol. Many farmers are either uninformed about existing biocontrol technologies and/or lack confidence in their efficacy relative to rapid-acting chemical options (Machekano et al., 2017; ). Moreover, insufficient technical capacity hinders effective implementation, particularly among small- and large-scale vegetable producers (Mondédji et al., 2021; Fulano et al., 2021).
3.2 Impact of climate fluctuations on biocontrol and its interaction with diamondback moth
Climate-related impacts, especially rising global temperatures and erratic precipitation patterns, has profound implications for the population dynamics and management of DBM. Increasing environmental temperatures have been shown to accelerate DBM development by reducing the duration of each life stage and increasing the number of generations produced per season (Gurr et al., 2018). Furthermore, climate-induced environmental changes have expanded the geographical distribution of DBM into formerly unsuitable, cooler regions where survival and reproduction were once limited (). This range expansion complicates management efforts, especially in regions with previous history of major DBM outbreaks, where monitoring systems and effective control measures are frequently absent.
Changes in precipitation patterns, a defining characteristic of temperature change, also have substantial effects on DBM populations and the resilience of brassica host plants. Drought stress negatively impairs the physiological performance of plants by reducing the synthesis and transport of crucial secondary metabolites, including glucosinolates, flavonoids, terpenoids, and phenolic compounds. These metabolites play critical roles in plant defense against herbivorous insects (Higdon et al., 2007; Hopkins et al., 2009; Farias et al., 2020; ). The reduction of these chemical defenses, as well as reduced rainfall and lower humidity levels, makes brassica crops more vulnerable to DBM infestation and enhances larval survival and reproduction (Sithole et al., 2019; Santos et al., 2020). Moreover, these climate-driven changes may promote uncontrolled DBM population growth and intensify crop damage, especially in kale and cabbage production systems (Saleh et al., 2023). As a result, shifts in precipitation patterns not only weaken host plant resistance but also disrupt the ecological balance needed for effective biocontrol.
Climate variability also impacts the natural enemies of DBM, including important parasitoids and generalist predators (see Table 3). Increased temperatures may disrupt synchronization between the life cycles of biocontrol agents and their hosts, thereby reducing the efficacy of parasitism (; Saleh et al., 2023). Such asynchrony interferes with the timing essential for successful parasitism during susceptible phases of DBM development (Ngowi et al., 2017). Moreover, extreme heat conditions can reduce reproductive and survival rates of natural enemies, undermining the efficacy of biocontrol programs (Santos et al., 2020). Similarly, predator populations may decline due to habitat alterations and shifts in crop distribution caused by climate variation. These changes can reduce predator access to infested crops and subsequently decrease natural predation pressure. Ngowi et al. (2017) and Mastore et al. (2019) further showed that increased temperatures and reduced moisture levels negatively affect the microbial-based spore viability and virulence, thereby reducing their efficacy against DBM.
Integrating chemical, biological, and cultural management strategies while adapting them to local environmental variability can improve the resilience and adaptability of IPM under changing climatic conditions (Fathipour and Mirhosseini, 2017). A key strategy entails cultivating and implementing climate-resilient brassica cultivars that demonstrate tolerance to drought and heat stress, while maintaining resistance to DBM feeding (Ngowi et al., 2017; Machekano et al., 2020; Mastore et al., 2019). In addition, intercropping brassica crops with non-host plants and/or aromatic herbs can disrupt pest orientation through olfactory and visual cues while attracting natural predators and parasitoids into diversified agroecosystems (Mayanglambam et al., 2021). Cover crops may also enhance soil moisture retention, suppress weeds, and provide shelter for beneficial arthropods. Furthermore, novel innovation technologies, including predictive models, remote sensing, climate-based decision-support tools, and real-time pest monitoring systems have considerable potential to improve the effectiveness and sustainability of DBM management under future climate scenarios.
4 The role of synthetic insecticides and resistance mechanisms in diamondback moth
The management of DBM has primarily depended on the repeated applications of synthetic insecticides, including diamides, pyrethroids, and organophosphates, and among other chemical classes (see Table 2). These insecticides act through different physiological mechanisms, distinct target sites, and MoA depending on their chemical class, as described in Figure 1 and Table 2. However, their extensive and repeated use has led to the widespread development of resistance in DBM populations. Resistance reduces the efficacy of chemical control, increases pest pressure, escalates economic losses, and contributes to agroecological damage. Alarmingly, DBM has evolved resistance to nearly all major classes of synthetic insecticides (Table 2), posing a significant challenge to its sustainable management (Jiang et al., 2015; ; Sindhu et al., 2018; Qin et al., 2018; Li et al., 2019; Riley et al., 2020; Dunn et al., 2024; Elakkiya et al., 2024). This insecticide resistance is mainly attributed to well characterized mechanisms: enhanced biochemical detoxification and target-site mutations. Enhanced metabolic detoxification involves the increased activity of detoxification enzymes that degrade or neutralize insecticides before they reach their target sites. Target-site mutations, in contrast, reduce insecticide binding sensitivity, thereby decreasing the effectiveness of insecticidal compounds (Figure 1).
Figure 1
We reviewed numerous DBM insecticide resistance case studies, ranging from the earliest records and FAO technical reports in the 1960s to recent molecular studies published across Asia, Africa, Europe, the Americas, and Oceania. The compiled evidence in Table 2 includes both field-evolved resistance and laboratory bioassays conducted on DBM populations. Studies range from early qualitative reports of control failures in Indonesia, Jamaica, Barbados, South Africa, and Malaysia to modern quantitative resistance monitoring and mechanism-focused studies across China, India, Pakistan, Japan, Taiwan, Brazil, Benin, Togo, USA, Australia, and several European countries. Together, these studies (see Table 2) provide a global overview of synthetic insecticide resistance on DBM within the IRAC MoA framework.
Beyond resistance, extensive use of synthetic pesticides continues to pose severe environmental and human health risks. These include pollution of aquatic ecosystems, environmental contamination, and harmful effects on non-target organisms (; Karaoğlan et al., 2024). The overuse of broad-spectrum insecticides can also reduce populations of natural enemies, weakening ecosystem-based pest suppression and triggering the risk of secondary pest outbreaks (Rani et al., 2021). For example, Diadegma insulare and Oomyzus sokolowskii (see Table 3) are highly susceptible to commonly used synthetic pesticides (see Table 2). Laboratory bioassays have shown high mortality of these parasitoids following exposure to different insecticides (; Roubos et al., 2014; Ramírez-Cerón et al., 2022). In addition to their direct effects on natural enemies, several studies also suggest that DBM gut microbiota may contribute to host adaptation and insecticide resistance. For example, an association between Enterococcus and chlorpyrifos resistance has been reported. Furthermore, Enterococcus spp. have been shown to enhance chlorpyrifos resistance in DBM, with resistant strains often harboring a higher relative abundance of Firmicutes and a lower abundances of Proteobacteria compared with susceptible strains (Xia et al., 2018, 2023).
Beyond Enterococcus, earlier studies comparing prothiofos-resistant, prothiofos-susceptible and field-caught DBM populations showed that resistant larvae have more diverse assemblage of gut bacteria, including Pseudomonas, Stenotrophomonas, Acinetobacter and Serratia marcescens. In contrast, susceptible larvae possess a less diverse gut microbiota, whereas field populations are largely dominated by Serratia. Siderophore-producing Pseudomonas strains inhibited several EPF, including B. bassiana and M. anisopliae, while chitinase-producing S. marcescens enhanced larval growth, indicating that resistance-associated microbiota can simultaneously protect DBM from microbial natural enemies and improve nutrition (Indiragandhi et al., 2007). Similar patterns were observed for pyrethroid resistance, where deltamethrin-resistant, deltamethrin-susceptible and field populations differed markedly in midgut community structure and in the phenotypic traits of the predominant midgut symbiont E. mundtii, reinforcing the view that DBM insecticide resistance is embedded within a broader context in which gut bacteria modulate both xenobiotic responses and interactions with natural enemies (Li et al., 2019a).
Pesticide exposure may cause human health problems, like skin irritation and respiratory issues. Long-term exposure has also been associated with more serious health risks, including cancers, hormonal disruption, and developmental disorders, especially among children and agricultural workers (Rani et al., 2021; Zhou et al., 2024). These ongoing effects have shown that we need to move toward smarter and more sustainable IPM strategies. Such strategies should incorporate ecological engineering, biocontrol, resistance management, and farmer education to support healthy and sustainable food production (; Rani et al., 2021; Pasupathi et al., 2022; Jalloh et al., 2026).
5 Impact of phytochemical on diamondback moth
Semiochemicals, including pheromones, allomones, and kairomones, are increasingly recognized as essential components in sustainable management of DBM populations (Tables 4 and 5). These chemical compounds, whether naturally produced and/or synthetically formulated, strongly influence insect behavior, including mate finding, host location, oviposition, and interactions with natural enemies (Matthews, 2019; ; Gonzalez et al., 2023). Consequently, strategies such as mating disruption, attract-and-kill systems, mass trapping, host-plant deterrence, and the enhancement of natural enemy recruitment through herbivore-induced plant volatiles (HIPVs) have emerged as environmentally sustainable approaches for DBM management (Tables 4 and 5) (; Pickett and Khan, 2016; Rizvi et al., 2021, 2022; Sohrawardy et al., 2021; ; Razo-Belman and Ozuna, 2023). In addition, plant secondary metabolites and VOCs including glucosinolates, terpenoids, alkaloids, and flavonoids, play vital roles in reducing DBM feeding and infestation (Robin et al., 2017; Hussain et al., 2020; Opio et al., 2025). These compounds may function as oviposition deterrents or toxicants upon ingestion, thereby minimizing pest pressure and enhancing plant tolerance. Among the most common VOCs produced during plant-herbivore interactions are indole, methyl salicylate, and green leaf volatiles (GLVs). These compounds play a crucial role in multitrophic interactions. For example, GLVs, such as (Z)-3-hexenyl acetate, are released following leaf damage and function both as feeding deterrents and signaling molecules that attract parasitoids (; Hussain et al., 2020). These chemical signals not only contribute to direct plant defense but also serve as communication cues for neighboring plants, enabling them to enhance their own resistance responses. This phenomenon is commonly known as “plant-plant communication” (Holopainen and Blande, 2024). For example, glucosinolates can interfere with host plant signals, pest orientation, and feeding attractants, thereby reducing DBM infestation levels (Rani et al., 2021; Prasad, 2022; ; Opio et al., 2025). Upon tissue damage, glucosinolates are hydrolyzed by myrosinase enzymes into a range of bioactive compounds, most notably isothiocyanates. These compounds are detrimental to herbivorous insects by causing toxicity and feeding inhibition in DBM larvae and contribute to the suppression of subsequent infestations (Mumm and Dicke, 2007). Furthermore, the breakdown products of glucosinolate alter the VOCs emission profiles, influencing DBM behavior and promoting tri-trophic interaction via attraction of natural enemies (). Also, when methyl salicylate is emitted by reaction to herbivore-plant interaction, it effectively repels oviposition of DBM, while attracting beneficial parasitoids. In contrast, methyl jasmonates stimulate systemic plant defense responses and enhances crop resilience against DBM attack (Li et al., 2019a, 2019b, 2021). It is important that we understand how breeding programs alter glucosinolate concentrations and other phytochemical profiles is essential because such modifications may influence organoleptic properties, allelochemical defenses, and plant-pest resistance traits (Müller et al., 2010; ). Using plant semiochemicals in IPM programs boosts control effectiveness while decreasing dependence on synthetic insecticides. This approach also helps safeguard beneficial insect populations and supports overall agroecosystem stability and biodiversity (; Pickett and Khan, 2016; Matthews, 2019) (Tables 4, 5).
Table 4
| Type of semiochemical | Examples | Functions | Application and control methods | References |
|---|---|---|---|---|
| Sex pheromones | (Z)-11-hexadecanal, (Z)-11-hexadecenyl acetate | Attract male moths by mimicking female-emitted cues. | Used for mating disruption, mass trapping, and monitoring populations. | |
| Aggregation pheromones | Non-specific to DBM | Attract multiple pest individuals to a single location. | Used for mass trapping under field conditions. | Rani et al. (2021) |
| Allomones | Limonene and methyl salicylate | Repel DBM while attracting natural enemies. | Deter pest feeding and oviposition, while enhancing biocontrol efficacy. | |
| Kairomones | Glucosinolates | Attract adult female DBM for host location and oviposition; however, at high concentrations or in non-preferred (dead-end) host plants, they can deter oviposition and reduce larval survival. | Applied in attract-and-kill or trap cropping systems. Incorporated into companion or trap crops. | Shelton and Badenes-Perez (2006); ; Zhu et al. (2021); Prasad (2022) |
Role of semiochemicals in diamondback moth management.
Table 5
| Trap and description | Advantages | Limitations | References | |
|---|---|---|---|---|
| Delta trap | Sticky cards baited with pheromones. | Easy to deploy, cost-effective, and ideal for routine monitoring. | Target only males; limited direct suppression. | Rizvi et al. (2021) |
| Bucket trap | Funnel-shaped traps with pheromone lure. | Suitable for large-scale surveillance, and high capture capacity. | Requires regular maintenance for effectiveness. | Sohrawardy et al. (2021) |
| Water pan trap | Open containers with water and pheromone lures. | Effective for use in arid regions and cost-effective. | Susceptible to evaporation and contamination. | Rizvi et al. (2021) |
| Mass trapping systems | Densely deployed pheromone-baited traps. | Reduces male populations, suppresses mating success. | Expensive and labor-intensive. | Gonzalez et al. (2023) |
Pheromone trap types used in monitoring and control of diamondback moth.
6 Challenges and future research directions
With the advancement of science and technology, our understanding of DBM biology, ecology, and management has been improved significantly over the past two decades. However, numerous knowledge gaps and limitations as well as practical challenges continue to persist, which significantly impede the long-term sustainability, efficacy, and agroecological balance of existing control strategies. One notably unexplored aspect of DBM is its potential role in influencing plant-pathogen interactions. The feeding mechanism not only reduces plant quality and yield but may also predispose plants to secondary opportunistic microbial pathogens (Sarfraz et al., 2006; ; Karssemeijer et al., 2020). Additionally, the physical damage caused by larval feeding can inhibit plant immune responses, potentially altering the defense system and phyllosphere microbiome. This change could increase host plants susceptibility to disease (via salivary secretions that include immune-suppressive and/or pathogen-promoting enzymes), which remain largely uncharacterized. Future studies should therefore examine DBM-induced microbiome alterations and plant-pathogen interactions, which may enhance integrated pest and disease management systems. Addressing these intricate relationships is vital for designing robust IPM programs that improve agricultural sustainability.
Despite the efficacy of other IPM practices in reducing DBM populations beyond reliance on chemical insecticides, their use and adaptation remains limited. This is particularly evident among resource constrained farmers who may be slow or unable to adopt new technologies. A major limitation is the financial cost associated with IPM components, including pheromone traps, biocontrol products, pest-resistant cultivars, and parasitoids and/or predators augmentation (Shelton et al., 2002; ; Matthews, 2019). Furthermore, a lack of farmer awareness, insecticide-based extension services, and limited on-farm engagement by researchers or extension workers hinder the dissemination and practical training required for effective IPM implementation. Regulatory and commercialization challenges, including lengthy registration procedures, inconsistent regulatory frameworks, and limited availability of locally adapted biopesticide products, further restrict access to IPM technologies, particularly in developing countries (Jalloh et al., 2026). These barriers reduce the adoption of sustainable DBM management tools. To address these issues, investment in farmer capacity-building programs, strengthened extension networks, subsidized IPM inputs, and supportive policy frameworks that facilitate registration, commercialization, and adoption of sustainable pest management tools are essential. Policy initiatives that promote farmer training, improve access to biopesticides and biological control agents, and strengthen institutional support for IPM could substantially enhance the sustainability and accessibility of DBM management programs (Parsa et al., 2014; Pretty and Bharucha, 2015; Jalloh et al., 2026) (Table 6).
Table 6
| Key focus areas | Research and developmental priorities | Potential outcomes and impacts |
|---|---|---|
| Assessing combined biotic and abiotic stressors. | Investigate plant-insect-pathogen-environment interactions. | Generate ecosystem-level insights for developing adaptive and resilient DBM control strategies. |
| Long-term monitoring of DBM dynamics. | Employ remote sensing, geographic information systems (GIS), and pest modeling tools. | Enable early warning systems and predictive models for DBM outbreaks under variable environmental variation. |
| Advancing suitable agricultural practices. | Develop intercropping, crop rotation, and organic management approaches to improve natural enemies. | Reduce DBM pressure, restore ecological balance, and minimize reliance on synthetic insecticides. |
Future directions for sustainable control of diamondback moth.
Future research should focus on developing DBM-resistant brassica crops. Genome editing and gene-silencing technologies, such as CRISPR-Cas9, and RNAi, may provide promising tools for enhancing resistance to DBM and other pests, similar to the role of transgenic Bt crops (Xu et al., 2022) in pest management. Simultaneously, entomopathogenic fungi, bacteria, nematodes, and viruses should be further evaluated as bioinsecticides in a single or dual treatments. These agents may provide more sustainable alternatives and strengthen IPM systems for DBM control (Singh et al., 2024). Improving microbial pesticides through effective delivery systems and climate-resilient strains is also important for augmenting their efficacy. Future studies should focus on enhancing semiochemical stability, formulation, and open-field performance through nano-formulations, controlled-release systems, and plant-incorporated volatiles. Moreover, optimizing landscape diversification, habitat management, and agroecological intensification are crucial for strengthening natural enemies control processes.
Advanced digital technologies should also be incorporated into future DBM management programs. These include AI-driven real-time pest monitoring, AI-powered traps, automated drones, predictive modeling, remote sensing, and climate-beneficial pest support tools. Such technologies can guide adaptive interventions and improve the precision and sustainability of pest management under changing environmental conditions. Overall, educating growers on sustainable pest control and improving access to IPM technologies are vital steps toward decreasing heavy synthetic pesticides dependence. These efforts can improve plant health, conserve ecosystem services, and safeguard the economic viability of cruciferous crop production.
7 Conclusions
The DBM poses a significant threat to the production of cruciferous crops worldwide. This pest causes substantial yield losses, reduces crop quality, and imposes serious economic burdens on growers. This devastating pest feeds on plant foliage, causing severe defoliation and leaf skeletonization that render produce unmarketable, particularly in high-demand agricultural markets. Consequently, this represents a major challenge for farmers who rely on these crops for food production and income generation. Although various control measures, particularly synthetic pesticides, have been widely adopted for DBM management, the pest has demonstrated an alarming ability to develop resistance to nearly all major insecticide classes (see Table 2). This resistance, coupled with the DBM rapid life cycle, high ecological adaptability and reproductive capacity, and increasing geographical expansion exacerbated by climate fluctuations, severely undermines conventional management strategies. Furthermore, DBM infestation not only threatens crop productivity, but may also predispose plants to secondary pathogen infections via feeding-induced tissue damage, weakened plant defense responses, and potential alteration in host-associated microbiomes. However, these interactions remain poorly understood and require further investigation. Addressing these complex challenges requires a sustainable ecologically based management approach. Integrating cultural practices, biocontrol agents, semiochemicals, and cutting-edge precision technologies into a robust IPM framework will be essential for long-term DBM suppression. Advances in phytochemistry offer new environmentally sound pathways for pest deterrence and the enhancement of natural enemies activity. At the same time, biotechnological innovations, including CRISPR-Cas9, RNAi, and transgenic pest-resistant varieties, and smart farming digital technologies, offer promising long-term strategies for managing evolving insecticide-resistant DBM populations. However, the successful implementation of these technologies will depend on overcoming major barriers, including high costs, limited farmer awareness, and perceived complexity of IPM. Therefore, targeted policy support, farmer education, and stronger collaboration between researchers and farming communities are critical for improving adoption and sustainability. As we advance, multidisciplinary collaboration among entomologists, agronomists, molecular biologists, microbiologists, plant pathologists, agri-engineers, and extension specialists, as well as policymakers will be essential for developing effective and sustainable DBM management strategies in the USA and beyond. These efforts will not only help control the DBM but also contribute to a more sustainable and healthy food system in the face of growing biotic and abiotic stressors.
Statements
Author contributions
AJ: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. TD: Writing – review & editing. RU: Visualization, Writing – review & editing, Data curation, Software. SP: Writing – review & editing. OU: Funding acquisition, Supervision, Writing – review & editing, Conceptualization, Validation, Writing – original draft. JS: Supervision, Writing – review & editing, Validation. DC: Writing – review & editing, Validation. PC: Writing – review & editing. MT: Funding acquisition, Supervision, Validation, Writing – review & editing, Resources. SB: Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Resources, Validation, Visualization, Writing – original draft, Writing – review & editing.
Funding
The author(s) declared that financial support was received for this work and/or its publication. This work was supported by a start-up fund awarded to SB by the University of Georgia, USA.
Acknowledgments
We sincerely thank the Department of Entomology, College of Agricultural and Environmental Sciences, University of Georgia, for their invaluable support and the use of their facilities during this write-up.
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The author OU declared that they were an editorial board member of Frontiers at the time of submission. This had no impact on the peer review process and the final decision.
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Summary
Keywords
biocontrol, climate pressures, natural enemies, plant-insect interaction, diamondback moth, insecticide resistance, integrated pest management, phytochemistry
Citation
Jalloh AA, Dunn TP, Udavant RN, Pal S, Uyi O, Schmidt JM, Champagne D, Cremonez PSG, Toews MD and Basu S (2026) Towards the sustainable control of diamondback moth (Plutella xylostella L.) in cruciferous crops: current trends, resistance mechanisms, and future frontiers. Front. Agron. 8:1801230. doi: 10.3389/fagro.2026.1801230
Received
01 February 2026
Revised
11 June 2026
Accepted
08 July 2026
Published
14 August 2026
Volume
8 - 2026
Edited by
Murray B. Isman, University of British Columbia, Canada
Reviewed by
Vivek Vikram Singh, Slovak Academy of Sciences (SAS), Slovakia
Sujayanand G. K., Indian Institute of Pulses Research (ICAR), India
Tarun Kumar Patel, Sant Guru Ghasidas Government P.G. College, India
Updates
Copyright
© 2026 Jalloh, Dunn, Udavant, Pal, Uyi, Schmidt, Champagne, Cremonez, Toews and Basu.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Abdul A. Jalloh, Abdul.Jalloh@uga.edu; Saumik Basu, Saumik.Basu@uga.edu
†These authors have contributed equally to this work
Disclaimer
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