Your new experience awaits. Try the new design now and help us make it even better

REVIEW article

Front. Plant Sci., 29 January 2026

Sec. Plant Metabolism and Chemodiversity

Volume 17 - 2026 | https://doi.org/10.3389/fpls.2026.1744490

This article is part of the Research TopicMolecular Interactions Between Biopesticides, Plant Volatiles, Essential Oils, and Target OrganismsView all 6 articles

Chemical defense mechanisms of soybean genotypes against lepidopterans

Josicleia Oliveira Costa&#x;Josicleia Oliveira Costa1†Victoria P. Pea Arroyo&#x;Victoria P. Peña Arroyo2†Yeison Núez-de la Rosa*Yeison Núñez-de la Rosa3*Vladimir A. Ballesteros-BallesterosVladimir A. Ballesteros-Ballesteros3Jorge Luis Nisperuza ToledoJorge Luis Nisperuza Toledo3Willian Garcia Birolli*Willian Garcia Birolli2*
  • 1Institute of Chemistry of São Carlos, University of São Paulo (USP), São Carlos, Brazil
  • 2Center for Exact Sciences and Technology, Department of Chemistry, Federal University of São Carlos (UFSCar), São Carlos, Brazil
  • 3Faculty of Engineering and Basic Sciences, Fundación Universitaria Los Libertadores, Bogotá, Colombia

Soybean (Glycine max [L.] Merrill) is one of the world’s most important agricultural crops, playing a strategic role in global protein and lipid production. However, its productivity is severely constrained by defoliating lepidopterans such as Anticarsia gemmatalis, Chrysodeixis includens, Helicoverpa armigera, and species of the genus Spodoptera, which cause substantial yield losses due to their intense herbivory and remarkable adaptive capacity. Conventional management strategies relying on chemical insecticides provide only partial control and are associated with negative environmental and ecological impacts. Although transgenic Bt soybeans have demonstrated efficacy against certain pest species, they exhibit limited toxicity toward Spodoptera spp. In this context, the exploitation of soybean genotypes with natural resistance represents a promising alternative within the framework of Integrated Pest Management. This review summarizes the principal chemical defense mechanisms underlying soybean resistance to lepidopterans, emphasizing the role of secondary metabolites, such as flavonoids, phenolics, tannins, and volatile organic compounds, that function as toxic, antinutritional, or repellent agents. Several genotypes, including IAC 100, PI 227687, and PI 227682, have displayed resistance to multiple caterpillar species, establishing themselves as valuable genetic resources for breeding programs. Furthermore, recent studies indicate that environmental conditions, plant developmental stage, and multitrophic interactions strongly modulate the expression of these defense traits. A comprehensive understanding of the chemical interactions within the soybean-lepidopteran system is therefore crucial for the development of more tolerant and sustainable cultivars, reducing dependency on insecticides and slowing the evolution of insect resistance. Future perspectives emphasize the integration of omics technologies, bioinformatics, and biotechnology to elucidate key metabolic pathways and accelerate the generation of resistant soybean varieties, ultimately promoting higher productivity and agricultural sustainability.

1 Introduction

Plants and insects have coexisted for more than 350 million years. Throughout this long history of interaction and coevolution, plants have evolved a wide array of defense mechanisms to counteract insect herbivory (War et al., 2018). These mechanisms rely on the recognition of molecular patterns associated with tissue damage, which trigger complex defensive responses (Tanaka and Heil, 2021).

In the case of chewing insects, plants perceive attacks through the specific recognition of chemicals present in the insects’ oral secretions, feces, and oviposition fluids (War et al., 2012; Fürstenberg-Hägg et al., 2013). Such signals activate intricate signaling pathways that lead to the production of defensive compounds, including secondary metabolites and proteins, which exert toxic, repellent, or antinutritional effects on the herbivores (Chen, 2008; Peruca et al., 2018; Wari et al., 2022).

Although plants possess a wide array of defense mechanisms, many insect herbivores have evolved sophisticated strategies to overcome or suppress these defenses, enabling them to exploit different plant tissues (War et al., 2018). The effectiveness of these strategies can be further enhanced by environmental factors, particularly climate change (DeLucia et al., 2012). Recent modeling integrating temperature, insect growth, and metabolic rates predicts that herbivore-driven crop yield losses may increase by 10–25% per °C of global warming in major grain production systems (Deutsch et al., 2018). Consistently, a large-scale global synthesis encompassing 9,682 cases across 1,774 plant species from six continents demonstrated that climate warming is expected to intensify phytophagous insect pressure across extensive regions of the globe (Liu et al., 2024b).

Within soybean agroecosystems, this trend is especially concerning since laboratory studies have shown that key herbivores exhibit strong thermal adaptive capacity, suggesting a high potential to maintain or increase performance under rising temperatures (Gao et al., 2024). Moreover, analyses of occurrence data indicate that milder winters may facilitate pest persistence and increase the frequency of infestations by relaxing overwintering constraints and promoting selection across seasons (Paul et al., 2024). When combined with the widespread evolution of insecticide resistance in soybean pests (Stacke et al., 2020), these patterns reveal tightly linked climate–ecology–evolution dynamics, underscoring the urgency of anticipating not only greater herbivore pressure but also accelerated pest adaptation in soybean-producing regions.

Soybean (Glycine max [L.] Merrill) is a major global source of protein, lipids, and carbohydrates and has become one of the most widely cultivated and consumed legumes worldwide (Spréa et al., 2024). Among its biotic constraints, defoliating caterpillars of the order Lepidoptera rank among the most destructive insect pests, causing severe yield and productivity losses across agricultural systems (Horikoshi et al., 2022). Although the dominant species vary regionally, in the Americas the principal defoliators include Anticarsia gemmatalis (Hübner), Chrysodeixis includens (Walker), and Helicoverpa armigera (Hübner), which are responsible for recurrent outbreaks and substantial economic damage (Souza et al., 2021; Machado et al., 2022).

In Asia, H. armigera and Spodoptera litura (Fabricius) are among the dominant lepidopteran defoliators of soybean, with extensive evidence of crop damage, migration, and adaptive capacity on soybean hosts (Xu et al., 2022). While in Africa, Spodoptera frugiperda (Smith) is now a widespread invasive lepidopteran that feeds on many crops including soybean, with repeated outbreaks, also, Spodoptera littoralis (Boisduval) is present in Africa, mediterranean region, and middle east (ElShahed et al., 2023; Togola et al., 2025). Currently, the management of these pests relies mainly on the application of chemical insecticides; however, the prolonged use of such compounds can lead to several detrimental effects on the agroecosystem, including the reduction of natural enemy populations and the outbreak of secondary pest species (Murúa et al., 2018).

As an alternative to mitigate the negative impacts caused by chemical insecticides, several complementary strategies have been adopted, such as the use of Bt (Bacillus thuringiensis) technologies and other microbial biopesticides, as well as the conservation or release of natural enemies, and the cultivation of resistant plants (Godoy et al., 2022). The incorporation of resistant cultivars stands out as a valuable approach, as it is considered a cost-effective and easily applicable method for farmers (Freitas et al., 2024). Moreover, this strategy can be readily integrated with other control methods within an ecological management framework (Zhou et al., 2024).

In this context, this review discusses the main chemical defense mechanisms associated with soybean genotype resistance to lepidopterans. Furthermore, it presents and classifies soybean varieties resistant to specific species within this insect group. Understanding the complex chemical interactions involved in plant resistance to pests is crucial, as it contributes to the development of new and more tolerant cultivars, thereby reducing the need for insecticides, mitigating negative impacts on the agroecosystem, and slowing the evolution of insect resistance.

To compile the information presented in this review, a comprehensive literature search was carried out to identify studies addressing the defense mechanisms of soybean against lepidopteran pests. The search was conducted in the Web of Science database, covering publications from 2011 to 2025, to include the most recent and relevant research. Various combinations of keywords were used, including Plant–insect interaction, Resistant soybean, Plant induced resistance, Plant defense, Induced defense, Resistance, Mechanism defense, Induced resistance soybean, Soybean, Chemical defenses of soybeans, Spodoptera, Defoliating Lepidoptera, Soybean and Lepidoptera, Soybean Bt, and Glycine max and Lepidoptera, with particular emphasis on the terms Glycine max, Soybean, and Lepidoptera. Search results were organized and screened to retain studies directly addressing plant–insect interactions, induced resistance in soybean, and chemical or physiological defense mechanisms against lepidopterans. Works that focused solely on the chemical characterization of metabolites without relation to defense responses, or those unrelated to soybean resistance to lepidopterans, such as Bt toxicology or molecular analyses without emphasis on defense mechanisms, were excluded from the discussion.

2 Agronomic context and control of lepidopteran pests in soybean cultivation

2.1 Soybean cultivation

Soybean (Glycine max) is a leguminous species belonging to the class Magnoliopsida, family Fabaceae, and subfamily Faboideae (Hymowitz and Singh, 1987), which is regarded as a crop of great commercial importance due to the high protein and lipid content of its seeds (Filho et al., 2022). Most of the harvested grains are used for human consumption, primarily in the production of oil, soy milk, flour, and for obtaining soybean meal, an essential ingredient in animal feed (Romero et al., 2020; Maciel et al., 2022). Consequently, soybean is considered the most extensively produced, processed, and traded oilseed crop worldwide (Barboza Martignone et al., 2024).

Due to the high global demand for soybeans, world production in the 2024/25 harvest reached 423.97 million tonnes, cultivated over an area of 146.71 million hectares (United States Department of Agriculture (USDA), 2025c). Currently, Brazil ranks as the world’s largest producer and exporter of soybeans, with an average production of 171.47 million tonnes grown on approximately 47.35 million hectares (Companhia Nacional de Abastecimento (CONAB), 2025). In 2023, following Brazil, the United States (~113 million tonnes), Argentina (~25 million tonnes), China (19 million tonnes), and India (15 million tonnes) were the other major soybean-producing countries (Food and Agriculture Organization (FAO), 2025).

The main consumers of soybeans and soybean meal are concentrated in regions with high levels of livestock production and protein demand, with China standing out as the largest consumer, importing massive quantities to supply its extensive poultry and swine industries, as well as for industrial uses (Zhao et al., 2025). The United States follows, using soybeans both for animal feed and for processing into oil and meal (Gaffield et al., 2024). The European Union, considered collectively, also exhibits high consumption due to intensive livestock systems and indirectly by demand for animal protein (Van Loon et al., 2023).

Although Brazil is one of the world’s leading exporters, it also maintains significant domestic consumption, primarily for feed production (Rezende et al., 2023). In addition, countries such as India, Vietnam, Mexico, and Indonesia rank among major consumers, driven by livestock and population growth with increasing demand for meat, eggs, and milk, trends that highlight the need for new technologies to support sustainable production increase (United States Department of Agriculture (USDA), 2025b).

2.2 Major caterpillar pests attacking soybean

Although soybean expansion has been remarkable worldwide, in recent years, the productivity of this legume has been severely affected by various pests, including phytopathogens, nematodes, mites, and especially insects (Hartman et al., 2016; Filho et al., 2022). Insect pests account for the majority of significant yield and economic losses in soybean production (Horikoshi et al., 2022; Ouaarous et al., 2025). The extent of this damage is intensified by several factors, such as tropical climatic conditions and the predominant cropping systems (Chen et al., 2024).

These conditions provide favorable environments and abundant food resources for the development and proliferation of insect pests (Wille et al., 2017). Among the species that attack soybean crops worldwide, those belonging to the orders Lepidoptera, Hemiptera, and Coleoptera are considered the most important, as they feed on different plant parts and tissues, as shown in Table 1 (de Almeida Barros et al., 2022; Li et al., 2024).

Table 1
www.frontiersin.org

Table 1. Main lepidopteran pests that attack soybeans and the plant parts they damage.

To date, at least 69 species of Lepidoptera have been recorded from the superfamilies Pyraloidea, Tortricoidea, Bombycoidea, Hesperioidea, Geometroidea, and Noctuoidea, whose larvae have been observed feeding in soybean fields (Formentini et al., 2015). Among these, insect pests belonging to the superfamily Noctuoidea have raised particular concern due to their distinctive feeding behavior (Fanela et al., 2020).

Despite the relative diversity of species, the most economically important soybean lepidopterans include the old-world bollworm H. armigera, the velvetbean caterpillar A. gemmatalis (de Almeida Barros et al., 2022), the tobacco budworm Chloridea virescens (Fabricius), and the soybean looper C. includens (Wille et al., 2017; Greene et al., 2021; Debnath et al., 2024).

In recent years, however, there has been a notable increase in infestations by Spodoptera species, including S. frugiperda, S. eridania (Stoll), S. cosmioides (Walker), and S. albula (Walker) (Zhou et al., 2011; Bernardi et al., 2014; Machado et al., 2020). This trend has alarmed farmers due to the high population densities, migratory behavior, and severe feeding damage to leaves, flowers, and pods, resulting in significant economic losses (Specht et al., 2016; Marques et al., 2017; Murúa et al., 2018; Huseth et al., 2021; Justus et al., 2022).

Species of the genus Spodoptera represent a significant threat to soybean production across multiple regions worldwide (Machado et al., 2020). Among the main lepidopteran pests, H. armigera, a globally distributed species, stands out for attacking the reproductive organs of soybean plants (flowers and pods) as well as vegetative tissues, directly reducing yield and historically causing severe productivity losses even at low population densities (Murúa et al., 2014; Kriticos et al., 2015).

Also widely distributed, S. frugiperda exhibits extensive occurrence throughout South America (Brazil, Argentina, Paraguay, and Uruguay), the United States, and more recently China and India, where it causes substantial crop losses due to its high adaptability and rapid population growth (Montezano et al., 2018).

S. litura, commonly known as the tobacco cutworm, is a polyphagous noctuid widely distributed across Asia and Oceania, with recent expansion into Africa (Song et al., 2024). It feeds on soybean leaves, stems, flowers, and pods, causing severe defoliation and yield reductions; furthermore its high fecundity, migratory ability, and insecticide resistance make management difficult, ranking it among the most damaging lepidopteran pests of soybean in Asian agroecosystems (Cai et al., 2023).

Likewise, S. littoralis, another polyphagous noctuid, is widely distributed across Africa, the Mediterranean basin, and the Middle East (ElShahed et al., 2023). It feeds on soybean leaves, flowers, and pods, causing severe defoliation and significant yield losses (El-Refaie et al., 2024). Owing to its high adaptability and increasing insecticide resistance, S. littoralis is considered one of the most important noctuid pests of soybean in Africa, second only to H. armigera (Sebaei, 2024).

C. includens, regarded as a key soybean pest across the Americas and present in the Caribbean and parts of Asia, is characterized by frequent and persistent defoliation, leading to significant economic losses (Hodgson et al., 2021; Rafael et al., 2021). S. eridania, although considered a secondary pest in the United States, displays wide geographic distribution, from South America to Canada, and has emerged as an invasive species in regions of Africa and Asia, causing severe defoliation in crops such as soybean and cassava (Alzate et al., 2025).

Helicoverpa zea (Boddie) is notable for feeding on soybean reproductive structures (flowers, pods, and developing seeds), resulting in direct yield losses similar to those caused by H. armigera, although this species is more prevalent in North America, where it causes considerable damage, its occurrence in South America is comparatively limited (North et al., 2024; Possebom et al., 2025). C. virescens, native to tropical and subtropical regions of the Americas (South, Central, and southern North America), also attack soybeans, though it is historically more important as a key cotton pest, it should not be overlooked in population studies of lepidopteran communities (Hodgson et al., 2021).

Elasmopalpus lignosellus (Zeller) is considered a moderate and regionally important pest, particularly in sandy soils of the Brazilian Cerrado and drier southern regions, where it damages soybean stands. In other countries, it causes significant losses in maize, peanut, and bean crops, but soybean plants can often compensate for initial stand loss when infestations occur at low densities (Marques et al., 2017; Santos et al., 2023).

Another species native to tropical and subtropical regions of the Americas, A. gemmatalis is highly relevant in Brazil, Argentina, Paraguay, and Uruguay, where it is the primary soybean pest and a voracious defoliator. It also occurs in the southern United States, Mexico, the Caribbean, and Central America, frequently reaching outbreak levels in monoculture systems (Hodgson et al., 2021). S. cosmioides (Hill et al., 2025) and S. albula (Machado et al., 2020) are primarily found in South America; the former is particularly aggressive, capable of consuming nearly twice the leaf area of soybean as other Spodoptera species, while the latter causes more localized and sporadic attacks.

Rachiplusia nu (Guenée), restricted to South America, mainly Argentina, Uruguay, Paraguay, and southern Brazil, feeds primarily on foliage, although it may also damage pods. Severe defoliation during reproductive stages can impair grain filling and significantly reduce yields, especially during outbreak events (Godói et al., 2025; Godoy et al., 2025). Crocidosema aporema (Walsingham) is another regional pest typical of the Southern Cone, usually considered secondary, it can become highly damaging during localized outbreaks, especially in late-season plantings; furthermore, sporadic infestations have led to significant losses in pods and fertile branches in southern Brazil and Argentina (Fernandes et al., 2024).

Collectively, these species highlight the global impact of Lepidoptera on soybean production, emphasizing the urgent need for Integrated Pest Management strategies to mitigate yield losses and promote sustainable crop production worldwide.

2.3 Management of caterpillars in soybean

For many years, the use of synthetic insecticides has been the primary strategy adopted worldwide for managing lepidopteran pests in soybean and other leguminous crops (Marques et al., 2016; Huseth et al., 2021). The main advantages driving their intensive application include a broad spectrum of activity, allowing control of multiple pest species, low initial cost, ease of use, and high effectiveness (Plata-Rueda et al., 2020).

The most widely used insecticides belong to the neonicotinoid, organophosphate, and pyrethroid classes, which act as sodium channel blockers and neurotoxins, causing hyperexcitation of the nervous system, paralysis, and ultimately insect death (Pereira et al., 2023). However, excessive chemical spraying has led to serious environmental and agronomic issues, such as the selection of resistant insect populations, secondary pest outbreaks, and negative impacts on natural enemies and biological control agents (Ren et al., 2023).

In this context, the introduction of genetically modified plants has become a widely adopted approach to reduce insecticide use and its negative consequences, while significantly contributing to advances in Integrated Pest Management programs (Barcellos et al., 2023; Carrière and Tabashnik, 2023). Among these, transgenic Bt soybean cultivars stand out. These plants express cry genes from Bacillus thuringiensis (Berliner), which encode Cry1Ac toxins that reduce larval feeding, disrupt development, and increase mortality rates of lepidopteran pests (Silva et al., 2014).

Currently, Bt soybean is the primary control method for key lepidopteran pests damaging soybean in South America, while adoption in other major producing countries such as the United States, China, and India remains limited (Machado et al., 2020). This technology provides strong protection against defoliators such as A. gemmatalis, C. includens, C. virescens, and H. armigera (Bacalhau et al., 2020).

The contrasting adoption patterns between regions highlight substantial differences in pest management strategies. In Brazil, Bt soybean cultivation reached approximately 94% of the total soybean area during the 2023/2024 growing season, reflecting the widespread reliance on this technology for lepidopteran control (Bueno et al., 2025). By comparison, soybean biotechnology adoption in the United States is dominated by herbicide-resistant traits, accounting for about 96% of soybean acreage in 2025. Notably, U.S. agricultural statistics do not report a specific insect-resistant or Bt soybean category, which is consistent with the limited or near-negligible commercial adoption of Bt soybean in that country (United States Department of Agriculture (USDA), 2025a).

Nevertheless, Bt soybean exhibits limited toxicity against Spodoptera species, including S. frugiperda, S. eridania, S. albula, and S. cosmioides, due to poor compatibility between Bt proteins and midgut receptors, high detoxification capacity, and natural tolerance (Bernardi et al., 2014). Therefore, complementary strategies such as Bt protein pyramiding, technology stacking, and Integrated Pest Management are required to maintain control efficacy (Horikoshi et al., 2021; Machado et al., 2022).

At the molecular level, the insecticidal activity of Cry toxins relies on their high insertion of toxins into the lipid bilayer and the formation of transmembrane pores, which are specific interactions with receptors located in the larval midgut epithelium (Jurat-Fuentes et al., 2021). Following solubilization and proteolytic activation in the alkaline gut lumen, Cry toxins initially bind to low-affinity receptors in the brush border membrane, including cadherins, aminopeptidase N (APN), and alkaline phosphatases (ALP). This initial interaction induces conformational changes and promotes toxin oligomerization at the apical membrane surface (Núñez-Ramírez et al., 2020).

The resulting oligomers subsequently interact with high-affinity receptors, particularly ATP-binding cassette (ABC) transporters such as ABCC2 and ABCA2, which actively mediate toxin insertion into the lipid bilayer and transmembrane pore formation (Amezian et al., 2024). Pore formation disrupts membrane integrity, leading to osmotic imbalance, midgut epithelial cell lysis, and larval death (Jin et al., 2026). Recent studies indicate that changes in the expression or functionality of ABC transporters significantly reduce Cry toxin insertion efficiency, contributing to Bt tolerance or resistance in lepidopteran species, including Spodoptera spp (Liu et al., 2024a, 2025). In addition, mitogen-activated protein kinase (MAPK) signaling has been implicated in the regulation of midgut genes associated with Bt responses, conferring physiological plasticity and facilitating adaptation to Cry toxins (Guo et al., 2020).

Although Bt cultivars have played a central role in controlling primary soybean pests, widespread and repeated use of this technology can exert strong selection pressure, accelerating the evolution of resistance in target insects (Ongaratto et al., 2021). To mitigate this risk, refuge areas with non-Bt soybean are recommended to delay resistance development and preserve long-term effectiveness (Reisig, 2017).

Another promising alternative is the use of soybean genotypes that naturally express higher levels of insect resistance (Ulhoa et al., 2023). These resistance factors vary according to insect species and plant genotype. Resistant plants possess complex and sophisticated defense mechanisms that negatively affect multiple biological parameters of insects, including development, reproduction, and survival (Canassa et al., 2017; Morando et al., 2017). Consequently, these genotypes can reduce pest populations without major ecological imbalances, leaving insects more vulnerable to natural enemies (de Freitas et al., 2018). Thus, host plant resistance represents a valuable and environmentally friendly strategy that complements other Integrated Pest Management tools, enhancing the sustainability and efficiency of pest management systems. The main strategies currently used for caterpillar management including conventional chemical control, Bt transgenic cultivars, and naturally resistant genotypes, are summarized in Figure 1, along with their respective advantages and limitations.

Figure 1
Strategies for managing caterpillars in soybean crops are illustrated in three categories: Synthetic Insecticides, Genetically Modified (Bt) Soybean, and Host Plant Resistance. Synthetic insecticides offer broad activity and cost-effectiveness but pose risks of resistance and pollution. Bt soybeans target specific pests but may accelerate resistance evolution. Host plant resistance involves natural factors but risks specificity issues. Each strategy lists advantages, drawbacks, and supporting case studies, displayed below corresponding icons symbolizing each method.

Figure 1. Main strategies for the management of lepidopteran caterpillars in soybean crops. The figure summarizes conventional chemical control, genetically modified (Bt) soybean, and host plant resistance based on natural plant genotypes. For each strategy, major advantages and limitations are indicated, together with representative case studies reported in the literature. Synthetic insecticides provide broad-spectrum control but are associated with resistance development and environmental concerns (Páez Jerez et al., 2023; de Paiva et al., 2024) Bt soybean effectively controls key pests such as A. gemmatalis and C. includens, although its efficacy may decline due to resistance evolution in Spodoptera spp (Bacalhau et al., 2020; Machado et al., 2020; Barcellos et al., 2023). Host plant resistance relies on constitutive or inducible traits that negatively affect insect behavior and performance, but its effectiveness may vary among genotypes and environmental conditions (Ongaratto et al., 2021; Aguiar et al., 2022; Pinheiro et al., 2024).

3 Mechanisms and strategies of soybean defense against lepidopteran caterpillars

3.1 Plant resistance mechanisms

Throughout their long evolutionary history with herbivorous insects, plants have developed a wide range of defense mechanisms to protect themselves from attack (Kant et al., 2015). These strategies are generally classified as constitutive or induced. Constitutive defenses are always present, regardless of herbivory, whereas induced defenses are activated only after insect attack (Chen et al., 2018). Studies indicate that some constitutive defenses can be further strengthened during herbivory (Traw and Dawson, 2002; Bixenmann et al., 2016). However, induced defenses are particularly important for host-plant resistance because they incur lower metabolic costs and exhibit greater specificity against herbivores (Gordy et al., 2015; Acevedo et al., 2021).

Two major types of inducible defenses have been described in plants: direct and indirect defenses (Gols, 2014). Direct defenses involve traits that act directly on the herbivore, including structural barriers (e.g., epicuticular features and pubescence/trichomes), cell-wall reinforcement (thickening and lignification), mineral-based defenses, and toxic/antinutritional chemistry such as secondary metabolites, protease inhibitors, and enzymes that impair insect growth and development (Chen, 2008; War et al., 2012; Gols, 2014; Wari et al., 2022).

As an illustrative example in soybean, resistance to the Neotropical brown stink bug Euschistus heros has been reported in cultivars characterized by reduced host attractiveness and significantly lower feeding activity on pods and seeds relative to susceptible cultivars (Lucini et al., 2021).

Similarly, several soybean genotypes exhibit resistance to the velvetbean caterpillar Anticarsia gemmatalis, manifested as decreased feeding and consumption rates, along with reduced larval growth and overall performance. These insect responses support the incorporation of such resistance-related traits into soybean breeding programs (Piubelli et al., 2005). In other examples, at the molecular level, silencing GmVQ58 enhanced resistance to S. litura through a WRKY-associated defense module (Li et al., 2020), and gene-editing/omics validation of GmCDPK38 further showed that manipulating a central signaling regulator can strengthen soybean resistance to common cutworm (Li et al., 2022).

Indirect defenses, in contrast, reduce herbivory by recruiting natural enemies through the emission of herbivore-induced plant volatiles (HIPVs) (War et al., 2012; Gols, 2014; Aljbory and Chen, 2018). In soybean at field-level, methyl salicylate has been used to attract natural enemies in soybean systems (e.g., in aphid-associated contexts) (Mallinger et al., 2011), and more recently, application of methyl salicylate and (E,E)-α-farnesene increased the abundance of stink bug egg parasitoids (Scelionidae) and enhanced egg parasitisation in soybean fields (Michereff et al., 2024).

Figure 2 summarizes a conceptual framework for studying plant resistance. This model distinguishes between resistance, defined as plant traits that restrict damage, and tolerance, characterized by traits that minimize yield loss per unit of damage. Resistance is further divided into constitutive or inducible, and into direct or indirect mechanisms. Such a framework provides a clear representation of how plants mitigate herbivore impacts and helps integrate fundamental and applied perspectives in the study of plant–insect interactions, thereby guiding research toward elucidating the underlying mechanisms of plant resistance.

Figure 2
Flowchart illustrating categories of plant defense against herbivores, divided into resistance and tolerance. Resistance includes constitutive and inducible defenses, further split into direct defenses like morphological attributes and secondary metabolites, and indirect defenses through natural enemies. Tolerance involves compensation strategies.

Figure 2. Conceptual framework illustrating the categories of plant defense against herbivores. Plant defenses are classified as constitutive or inducible, the latter being activated in response to herbivore attack and particularly relevant for host-plant resistance. Inducible defenses comprise two main subcategories: direct defenses, which directly affect herbivore feeding, growth, development, and survival through structural and chemical traits, and indirect defenses, which reduce herbivory by attracting natural enemies via herbivore-induced volatile compounds. Extrafloral nectar, food bodies, and domatia are examples of constitutive indirect defenses (highlighted in the dashed box). The framework also distinguishes resistance mechanisms, which limit damage, from tolerance traits that minimize yield loss per unit of damage.

3.2 Resistant soybean varieties

Exploring natural plant resistance is a key strategy to reduce the impact of herbivores on crop yield and quality. This resistance arises from the expression of various physicochemical traits that hinder the efficient use of plants as hosts by insect pests (Stout, 2014; Das et al., 2022). The traditional approach to developing and applying resistant varieties within Integrated Pest Management involves screening germplasm, classifying resistance mechanisms, introducing resistance genes into agronomically suitable backgrounds, and integrating these varieties into management programs (Stout, 2014; Das et al., 2022; López et al., 2022).

In classifying plant resistance to herbivores, experimental techniques generally focus on three major categories: antibiosis, antixenosis, and tolerance (Smith, 2005). Antibiosis occurs when insect biology is adversely affected, impairing growth, development, reproduction, and survival. Common biological indicators of this resistance type are reduced body size and weight, prolonged life cycle, adult deformities, and decreased fecundity (Hondelmann et al., 2020).

Antixenosis relates to behavioral deterrence, plants become less attractive for feeding or oviposition, these evaluations include leaf consumption (e.g., eaten area or weight), feeding preference, and oviposition choice (Stec et al., 2021). Whereas tolerance refers to the plant’s ability to withstand or recover from pest damage without affecting insect biology or behavior (Queiroz et al., 2020; Ongaratto et al., 2021).

From an experimental perspective, antibiosis is primarily distinguished through insect growth and development indices (e.g., body weight, developmental duration, survival, and fecundity), whereas antixenosis is assessed using behavioral preference assays, such as feeding deterrence, leaf consumption, and oviposition choice (Bansal et al., 2021; Ongaratto et al., 2021; Kaler et al., 2025).

Recent studies have evaluated soybean cultivars for lepidopteran resistance (Table 2). For instance, the varieties PI 548402, BAUS 102, DSB34, MACS 1493, and RSC 11–03 expressed antixenosis resistance to S. litura (Yano et al., 2021; Mathpal et al., 2022), while PI 171451, PI 274453, IAC 18, IAC 23, L1-1-01, BMX Ícone IPRO, and Tec Irga 6070 RR displayed antixenosis against C. includens (Schlick-Souza et al., 2017; Gobbi et al., 2024).

Table 2
www.frontiersin.org

Table 2. Soybean cultivars evaluated for resistance to lepidopteran pests.

Other authors reported that IAC 100, PI 227682, and PI 227687 exhibited antixenosis to S. cosmioides, associated with trichome density and leaf coloration (de Queiroz et al., 2020). Antibiosis was also identified in PI 227687, PI 226782, IAC 100, and BRS 7270 IPRO against the same species. Similarly, PI 227687 and IAC 100 showed antibiosis to S. frugiperda (Boiça Júnior et al., 2017), and PI 227687, PI 227682, IAC 100, and DM 339 demonstrated antibiosis against S. eridania (Souza et al., 2014).

Although antixenosis and antibiosis are traditionally considered independent categories, they often overlap in practice, making them difficult to separate conceptually (Stout, 2013). Most resistant plants possess traits that are simultaneously repellent, deterrent, toxic, or antinutritional. Consequently, many secondary metabolites exert both antixenotic and antibiotic effects (Stenberg and Muola, 2017). For example, the genotypes IAC 74-2832, PI 274454, BRS 8383 IPRO, BRS 1074 IPRO, BRS 1061 IPRO, BRS 7180 IPRO, BRS 9383 IPRO, BRS 8980 IPRO, and BRS 1003 IPRO exhibited antixenosis or antibiosis against A. gemmatalis, while IAC 24, BRS 523, BRS 543 RR, G17, and G19 expressed both mechanisms (Lima et al., 2024; Krisnawati et al., 2025). Likewise, PI 227687, PI 274454, and IAC 19 were identified as resistant to H. armigera due to reduced leaf consumption and adverse effects on insect biology (Coelho et al., 2020).

Overall, studies summarized in Table 2 indicate that PI 227687, PI 227682, and IAC 100 are the most promising genetic sources for developing high-yielding and pest-resistant soybean cultivars, however, numerous biotic and abiotic factors can influence the expression of resistance (Stout, 2013; Boiça Júnior et al., 2022). Therefore, field validation under diverse environmental conditions remains essential to confirm laboratory findings (Boiça Júnior et al., 2015b).

In conclusion, natural plant resistance is a strategic resource for Integrated Pest Management, particularly in soybean cultivation. Although classical categories such as antibiosis and antixenosis remain useful for screening and classifying resistant genotypes, their isolated application is often insufficient to capture the complexity of the underlying biochemical, genetic, and ecological mechanisms.

3.3 Key metabolites involved in soybean defense against lepidopterans

The previous section summarized soybean genotypes exhibiting resistance to lepidopterans through antibiosis and antixenosis. However, defensive strategies vary greatly among species and depend on multiple factors, including genotype, plant tissue, herbivore type, and tritrophic interactions within the plant–insect–environment system (Fürstenberg-Hägg et al., 2013; Stenberg and Muola, 2017). This section discusses the main defensive chemical compounds identified in soybean genotypes over the last decade, emphasizing secondary metabolites such as phenolic compounds and volatile organic compounds (VOCs). The main defensive compounds identified in soybean and their effects on lepidopteran pests are summarized in Figure 3.

Figure 3
Diagram illustrating the chemical resistance of soybeans against lepidopterans. It shows a soybean plant emitting VOCs like (E)-β-ocimene, linalool, and α-farnesene, deterring lepidopterans and attracting their natural enemies. Phenolics including rutin, daidzin, and isorhamnetin 3-O-glucoside are shown to cause toxicity and repellent effects on lepidopterans, affecting their growth and development.

Figure 3. Schematic summary of major secondary metabolites involved in soybean defense against lepidopteran pests. The figure highlights constitutive and inducible chemical defenses, including phenolics, flavonoids, isoflavones, and VOCs, and their principal effects on lepidopterans.

Secondary metabolites are organic molecules derived from primary metabolism that play critical roles in plant defense and signaling (Jha and Mohamed, 2022). They participate in mechanisms of resistance, tolerance to biotic and abiotic stress, and ecological interactions with pollinators, microorganisms, and herbivores (Ku et al., 2020). Their abundance and composition vary among species and tissues, reflecting metabolic processes that suppress insect growth and development (Divekar et al., 2022). Mechanistically, these compounds impair herbivore performance by inhibiting enzymes, disrupting nutrient assimilation, generating oxidative stress, or interfering with detoxification pathways, thereby linking metabolite profiles to biological resistance outcomes (Divekar et al., 2025).

Soybean tissues contain diverse secondary metabolites, among which flavonoids are the most abundant class (da Graça et al., 2016; Silva et al., 2018). Found in multiple plant organs at variable concentrations, flavonoids regulate oxidative stress, mediate hormonal signaling, protect against UV radiation, and act as defensive agents against pathogens and insects (Romani et al., 2003; Perlatti et al., 2015; da Graça et al., 2016; Silva et al., 2018). Flavonoids such as quercetin, kaempferol, and genistein can reduce larval growth by inhibiting midgut proteases, increasing oxidative imbalance, and limiting detoxification efficiency, which directly translates into antibiosis against several lepidopteran species (Gautam et al., 2023; Pereira et al., 2024).

The constitutive resistance of certain soybean varieties to S. cosmioides is associated with the content of specific lipids and isoflavones in leaves (Aguiar et al., 2022). Comparative analyses between resistant (IAC 17) and susceptible (UFV105) genotypes identified compounds such as methylquercetins, quercetin glycosides, genistein, kaempferol, and daidzein, especially kaempferol and quercetin derivatives, as key chemical markers of resistance to A. gemmatalis (Gómez et al., 2018). These flavonoids act predominantly through antibiosis, since quercetin and kaempferol negatively affect protein digestion and nutrient assimilation, while isoflavones such as genistein and daidzein exhibit direct toxicity and can interfere with hormonal pathways related to insect growth and metamorphosis. These physiological effects provide a functional basis for the reduction in larval performance observed in resistant genotypes (Pereira et al., 2024).

Studies using resistant and susceptible soybean lines have revealed genes and proteins involved in the response to larval feeding and the biosynthesis of secondary metabolites (Shim et al., 2024). Compounds such as rutin and isorhamnetin glycosides are constitutively produced in resistant genotypes (IAC 17, IAC 100), and herbivory by A. gemmatalis induces the expression of flavonol-synthesis-related genes, including FLS and O-methyltransferases, suggesting potential targets for breeding programs (Pinheiro et al., 2024). Similarly, proteins differentially expressed in response to S. litura feeding are linked to secondary metabolite biosynthesis, redox homeostasis, and cellular signaling, highlighting them as candidates for genetic manipulation to enhance soybean resistance (Yadav and Singh, 2024).

The analysis of phenolic, tannin, fiber, and lignin content in soybean leaves, pods, and seeds demonstrated that high concentrations of these compounds in the cultivar IAC 100 contribute to resistance against C. virescens, with tannins identified as one of the main chemical defense mechanisms (Boiça Júnior et al., 2022). Tannins exert multiple defensive effects, including protein precipitation in the insect gut, reduced digestibility of plant tissues, and impaired nitrogen assimilation, all of which reduce larval efficiency in converting food into biomass (Barbehenn and Peter Constabel, 2011; Zheng et al., 2022; Gupta et al., 2025). Resistance was also influenced by leaf age and plant developmental stage: higher levels of rutin, isoquercitrin, daidzin, daidzein, and hesperidin were found in mature leaves of PI 227687 during the reproductive phase, making them less suitable for A. gemmatalis and S. frugiperda development (Souza et al., 2021).

Induced defenses reduce herbivore performance and feeding preference by affecting their physiology and behavior (Chen et al., 2018). For soybean, induced resistance to defoliators has been widely documented (Yousefi-Taemeh et al., 2021). It was observed that both mechanical injury and insect feeding increased phenolic production in soybean leaves; however, only larvae that fed on insect-damaged leaves showed impaired development, indicating a herbivore-specific signaling response (Peruca et al., 2018). The induction of phenolic compounds has been shown to prevent feeding and oviposition, and to increase the activity of detoxifying enzymes in the midgut of insects, indicating their toxic nature (Usha Rani and Pratyusha, 2014; Movva and Pathipati, 2017).

Environmental factors such as UV-B radiation can also modulate soybean leaf chemistry, thus, in plants exposed to natural sunlight, herbivory by A. gemmatalis was correlated with ethylene emission and induction of isoflavonoids, as well as alterations in quercetin and kaempferol glycosides (Dillon et al., 2017, 2018). Similarly, exogenous elicitors derived from insect oral secretions can trigger plant defenses: application of S. litura gut extracts induced daidzein, genistein, formononetin, and their conjugates (Nakata et al., 2016). The addition of exogenous elicitors in soybean plants can trigger resistance against specific lepidopteran pests (e.g., common soybean defoliators) and reduce their fitness, allowing the regulation of pest populations by natural enemies without compromising seed production (Chen et al., 2018).

Silicon (Si) supplementation has also been shown to enhance plant resistance, since both herbivory and Si treatment increased phenolic content in soybean (Acevedo et al., 2021). Likewise, Si accumulation in soybean leaves reduced the growth rate of Heliothis punctigera (Wallengren), suggesting that Si acts as an inducible defense against herbivores (Johnson et al., 2020).

Volatile organic compounds represent another major class of defensive metabolites, mediating indirect defenses by attracting natural enemies, facilitating plant–plant communication, and enhancing tolerance to stress (Vivaldo et al., 2017). Soybean VOCs include terpenes, esters, aldehydes, and alcohols (Kim et al., 2020; Song et al., 2022). These compounds can repel herbivores, alter feeding patterns, reduce oviposition (Makhlouf et al., 2024; Mobarak et al., 2025), and attract parasitoids (Park et al., 2025), thereby integrating chemical and ecological layers of defense. Yet, some insects can suppress or evade VOCs-based defenses, for instance, H. zea larvae secrete salivary enzymes that induce stomatal closure, reducing VOCs emission from soybean leaves (Lin et al., 2021).

Herbivore-induced changes in VOCs profiles differ among soybean genotypes, e.g., A. gemmatalis feeding increased the emission of (Z)-3-hexen-1-ol, 1-octen-3-ol, (Z)-β-ocimene, β-linalool, MeSA, indole, and jasmonates (Rocha et al., 2023). In another study, S. litura feeding induced terpenes such as linalool, α-farnesene, and (E)-β-ocimene, the latter synthesized by GmOCS, which plays a key role in insect repellence and represents a promising gene for soybean improvement (Han et al., 2023).

Soybean defenses were further shown to be enhanced when Spodoptera exigua (Hübner) larvae infected with nucleopolyhedrovirus (NPV) released three volatile organic compounds, 3-octanone, (E)-2-hexenal, and 2-butyl-1,1,3-trimethyl-cyclohexane, that attract parasitoids (Wan et al., 2017). Moreover, subsequent research demonstrated that C. includens herbivory in two soybean lines promoted different VOCs emissions between isogenic and transgenic plants. Compounds such as (Z)-3-hexenyl-2-methylbutyrate, (Z)-jasmonate, β-linalool, and TMTT were induced, and female Meteorus rubens (Nees von Esenbeck) preferred odors from herbivore-damaged transgenic plants. These results indicate that genetic modification can influence tritrophic interactions among plants, pests, and natural enemies (Strapasson et al., 2016).

In summary, soybean resistance to lepidopterans cannot be fully explained by the classical categories of antibiosis and antixenosis alone. The diversity of secondary metabolites, such as flavonoids, phenolics, and VOCs, reveals a sophisticated chemical arsenal acting both constitutively and inducibly to modulate herbivore behavior, physiology, and ecological interactions. The variability of metabolite expression across genotypes, tissues, and phenological stages underscores the need for integrated approaches that consider ecological, genetic, and physiological factors. Advancing the characterization of bioactive compounds and their regulatory genes represents a promising path toward breeding more resilient cultivars capable of maintaining productivity while reducing chemical input dependence, thus aligning with sustainable agriculture goals.

3.4 Genome editing and gene-based engineering for enhanced soybean defense

Beyond conventional breeding, genome editing has emerged as an additional strategy for improving soybean insect resistance. Early platforms such as zinc-finger nucleases (ZFNs) and transcription activator-like effector nucleases (TALENs) were introduced in 2011 and 2014; however, CRISPR/Cas has become the preferred approach due to its simplicity, efficiency, and versatility (Freitas-Alves et al., 2025). Importantly, genome editing can support sustainable soybean improvement by accelerating the development of lines with enhanced tolerance to abiotic stress and improved resistance to biotic constraints, including pests and diseases, thereby contributing to reduced pesticide inputs (Kim et al., 2025).

Several gene-based strategies illustrate this potential. For example, overexpression of soybean trypsin inhibitors (e.g., KTI7 and BBI5) increased trypsin and chymotrypsin inhibitory activities and reduced H. zea larval weight (Sultana et al., 2023). Similarly, transgenic soybean expressing the codon-optimized cry1c* gene from Bacillus thuringiensis impaired larval growth, decreased body weight, and reduced survival of multiple chewing pests, including Leguminivora glycinivorella, Spodoptera exigua, S. litura, and Mythimna separata (Fang et al., 2024). More recently, the transgenic soybean event CAL-16, expressing a Cry1Ab–Vip3A fusion protein, achieved complete mortality of neonates of H. armigera, S. litura, Agrotis ipsilon, S. exigua, and S. frugiperda, and provided full field protection against L. glycinivorella (Pan et al., 2025).

Notably, recent evidence also indicates that soybean insect resistance can be strengthened not only through insecticidal or antinutritional proteins, but also via regulatory control of specialized metabolism. For instance, mutation of a soybean UDP-glycosyltransferase (GmUGT) altered flavonoid biosynthesis and enhanced resistance to chewing lepidopteran pests (Zhang et al., 2022). In parallel, overexpression of GmOCS ((E)-β-ocimene synthase) increased terpene volatile emission and reduced feeding by (and/or repelled) S. litura, illustrating a metabolite-centered engineering route via volatile terpenoids (Han et al., 2023).

Consistently, metabolomics of soybean lines carrying insect-resistance Quantitative Trait Loci showed that resistance is associated with broad metabolic reprogramming, with flavonoids/isoflavonoids highlighted as key chemical classes linked to these loci ( (Yousefi-Taemeh et al., 2021). Another promising and still underexplored chemical layer in soybean–lepidopteran interactions is the phenolamide (hydroxycinnamic acid amide, HCAA) pathway, which has been increasingly recognized as a rapidly inducible defense module in plants, being tightly connected to jasmonate signaling and polyamine metabolism (Roumani et al., 2021, 2022).

Collectively, these studies reinforce that soybean insect resistance can be pursued through complementary routes like protein-based defenses, genetic engineering, and targeted regulation of defensive metabolic pathways (e.g., flavonoids, terpenoid volatiles, and phenolamides) to support durable and sustainable pest management The future of developing resistant cultivars will rely on integrating empirical knowledge, technological innovation, and field validation, ensuring greater efficiency, sustainability, and adaptability of agricultural systems to emerging phytosanitary challenges.

4 Perspectives

The evidence gathered in this review highlights that soybean’s chemical resistance to lepidopterans represents a promising tool to reduce yield losses and decrease dependence on synthetic insecticides. Future research should prioritize the in-depth characterization of secondary metabolites, particularly flavonoids, phenolics, and volatile compounds, associated with soybean resistance (Gómez et al., 2018; Makhlouf et al., 2024). This effort should be supported by omics technologies (genomics, transcriptomics, metabolomics, and lipidomics) and bioinformatic analyses capable of identifying molecular targets and resistance biomarkers (Aguiar et al., 2022).

At the same time, there is a need to expand field experiments that account for biotic, abiotic, and multitrophic interactions to validate laboratory findings and better understand the ecological role of chemical defenses in agroecosystems (Dillon et al., 2017; Souza et al., 2021). The application of exogenous elicitors and resistance inducers, such as jasmonates and silicon, combined with the exploration of volatile compounds for attracting natural enemies, represents a practical avenue within Integrated Pest Management strategies (Strapasson et al., 2016; Acevedo et al., 2021).

Additionally, investigating key insect detoxification enzymes and mechanisms that enable herbivores to neutralize or metabolize soybean defensive compounds is essential (Fonseca et al., 2023). Understanding these adaptive pathways will support the development of strategies to counteract herbivore metabolic plasticity, thus maintaining the long-term effectiveness of plant defenses (Bhattacharyya et al., 2007).

Future perspectives point to a multidisciplinary approach in which the integration of plant breeding, biotechnology, chemical ecology, and agroecological practices will foster the development of more resilient soybean genotypes. Striking an optimal balance between productivity and chemical defenses, supported by advances in biotechnological tools, will be essential to address emerging pest pressures and ensure the long-term sustainability of soybean cultivation.

5 Final considerations

Plant defense mechanisms vary widely among plant–insect systems and depend on the type of herbivory. Defenses that are effective against one species may be secondary or ineffective against another. In the soybean–lepidopteran system reviewed here, cultivars such as IAC 100 and PI 227687 have shown resistance to key pests including A. gemmatalis, S. cosmioides, and S. frugiperda. Secondary metabolites, particularly phenolic compounds like flavonoids and VOCs appear to play central roles in these interactions. However, to validate these findings, field experiments are required, taking into account abiotic and biotic factors, as well as multitrophic interactions that influence plant defensive responses.

Sustainable pest management is best achieved through the integration of resistant plant varieties within an Integrated Pest Management framework, combined with good agricultural practices, pest monitoring, biological control, agroecological management, and the judicious use of environmentally safer pesticides. A comprehensive understanding of the global factors influencing soybean–lepidopteran interactions, together with advances in genomics, proteomics, metabolomics, lipidomics, and bioinformatics, will enable the development of new high-yielding and pest-resistant soybean genotypes.

Author contributions

JO: Writing – original draft, Writing – review & editing, Conceptualization, Methodology. VP: Writing – original draft, Writing – review & editing, Conceptualization, Methodology. YN: Funding acquisition, Supervision, Writing – review & editing, Visualization. VB: Funding acquisition, Writing – review & editing, Visualization. JN: Writing – review & editing, Visualization. WG: Conceptualization, Supervision, Writing – review & editing, Validation, Visualization.

Funding

The author(s) declared that financial support was received for this work and/or its publication. This work was supported by Fundación Universitaria Los Libertadores under the project “Síntesis y caracterización de óxidos de manganeso y cobalto para la degradación de contaminantes emergentes: estudio del mecanismo de activación de oxidantes” (project code ING-04-25).

Conflict of interest

The authors declare that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declared that generative AI was used in the creation of this manuscript. The authors acknowledge the use of ChatGPT (GPT-5, OpenAI, 2025) for language polishing only. The AI tool was employed to improve grammar, fluency, and readability of the English text. All scientific ideas, data interpretations, and conclusions presented in this manuscript are the original intellectual contribution of the authors.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Acevedo, F. E., Peiffer, M., Ray, S., Tan, C.-W., and Felton, G. W. (2021). Silicon-mediated enhancement of herbivore resistance in agricultural crops. Front. Plant Sci. 12. doi: 10.3389/fpls.2021.631824

PubMed Abstract | Crossref Full Text | Google Scholar

Aguiar, M. C. S., Mueller de Freitas, M., de Freitas, C. A., Boiça Júnior, A. L., Carneiro, R. L., da Silva, M. F., et al. (2022). Exploring chemical diversity in Glycine max cultivars: A multivariate approach in the search for bioactive compounds against Spodoptera cosmioides. Front. Plant Sci. 13. doi: 10.3389/fpls.2022.987782

PubMed Abstract | Crossref Full Text | Google Scholar

Aljbory, Z. and Chen, M. (2018). Indirect plant defense against insect herbivores: a review. Insect Sci. 25, 2–23. doi: 10.1111/1744-7917.12436

PubMed Abstract | Crossref Full Text | Google Scholar

Almeida, A.C. D. S., Silva, C. L. T., Paiva, L. A. D., Araujo, M. D. S., and Jesus, F. G. D. (2017). Antibiosis in soybean cultivars to heliothis virescens (Lepidoptera: noctuidae). Florida Entomol. 100, 334–338. doi: 10.1653/024.100.0231

Crossref Full Text | Google Scholar

Alzate, C., Calixto, E. S., and Paula-Moraes, S. V. (2025). Flight phenology of spodoptera eridania (Stoll 1781) (Lepidoptera: noctuidae) in its native range: A baseline for managing an emerging invasive pest. Insects. 16, 779. doi: 10.3390/insects16080779

PubMed Abstract | Crossref Full Text | Google Scholar

Amezian, D., Nauen, R., and Van Leeuwen, T. (2024). The role of ATP-binding cassette transporters in arthropod pesticide toxicity and resistance. Curr. Opin. Insect Sci. 63, 101200. doi: 10.1016/j.cois.2024.101200

PubMed Abstract | Crossref Full Text | Google Scholar

Bacalhau, F. B., Dourado, P. M., Horikoshi, R. J., Carvalho, R. A., Semeão, A., Martinelli, S., et al. (2020). Performance of genetically modified soybean expressing the cry1A.105, cry2Ab2, and cry1Ac proteins against key lepidopteran pests in Brazil. J. Econ. Entomol. 113, 2883–2889. doi: 10.1093/jee/toaa236

PubMed Abstract | Crossref Full Text | Google Scholar

Bansal, R., Mian, M. A. R., and Michel, A. (2021). Characterizing resistance to soybean aphid (Hemiptera: aphididae): antibiosis and antixenosis assessment. J. Econ. Entomol. 114, 1329–1335. doi: 10.1093/jee/toab038

PubMed Abstract | Crossref Full Text | Google Scholar

Barbehenn, R. V. and Peter Constabel, C. (2011). Tannins in plant–herbivore interactions. Phytochemistry. 72, 1551–1565. doi: 10.1016/j.phytochem.2011.01.040

PubMed Abstract | Crossref Full Text | Google Scholar

Barboza Martignone, G. M., Ghosh, B., Papadas, D., and Behrendt, K. (2024). The rise of Soybean in international commodity markets: A quantile investigation. Heliyon. 10, e34669. doi: 10.1016/j.heliyon.2024.e34669

PubMed Abstract | Crossref Full Text | Google Scholar

Barcellos, G. A., Hanich, M. R., Pretto, V. E., Weschenfelder, M. A. G., Horikoshi, R. J., Dourado, P. M., et al. (2023). Characterizing the lethal and sub-lethal effects of genetically modified soybean expressing Cry1A.105, Cry2Ab2, and Cry1Ac insecticidal proteins against Spodoptera species (Lepidoptera: Noctuidae) in Brazil. Pest Manag. Sci. 79, 548–559. doi: 10.1002/ps.7225

PubMed Abstract | Crossref Full Text | Google Scholar

Bernardi, O., Sorgatto, R. J., Barbosa, A. D., Domingues, F. A., Dourado, P. M., Carvalho, R. A., et al. (2014). Low susceptibility of Spodoptera cosmioides, Spodoptera eridania and Spodoptera frugiperda (Lepidoptera: Noctuidae) to genetically-modified soybean expressing Cry1Ac protein. Crop Prot. 58, 33–40. doi: 10.1016/j.cropro.2014.01.001

Crossref Full Text | Google Scholar

Bhattacharyya, A., Mazumdar Leighton, S., and Babu, C. R. (2007). Bioinsecticidal activity of Archidendron ellipticum trypsin inhibitor on growth and serine digestive enzymes during larval development of Spodoptera litura. Comp. Biochem. Physiol. - C Toxicol. Pharmacol. 145, 669–677. doi: 10.1016/j.cbpc.2007.03.003

PubMed Abstract | Crossref Full Text | Google Scholar

Bixenmann, R. J., Coley, P. D., Weinhold, A., and Kursar, T. A. (2016). High herbivore pressure favors constitutive over induced defense. Ecol. Evol. 6, 6037–6049. doi: 10.1002/ece3.2208

PubMed Abstract | Crossref Full Text | Google Scholar

Boiça Júnior, A. L., Bottega, D. B., Souza, B. H. S., Rodrigues, N. E. L., and Michelin, V. (2015a). Determination of resistance types to Spodoptera cosmioides (Walker) (Lepidoptera: Noctuidae) in soybean genotypes. Seminar: Agric. Sci. 36, 607. doi: 10.5433/1679-0359.2015v36n2p607

Crossref Full Text | Google Scholar

Boiça Júnior, A. L., Eduardo, W. I., de Souza, B. H. S., de Moraes, R. F. O., Louvandini, H., Barbosa, J. C., et al. (2022). Protocol for assessing soybean antibiosis to Chloridea virescens. Entomol. Exp. Appl. 170, 689–699. doi: 10.1111/eea.13190

Crossref Full Text | Google Scholar

Boiça Júnior, A. L., Souza, B. H. S., Costa, E. N., and Paiva, L. B. (2017). Influence of fall armyworm previous experience with soybean genotypes on larval feeding behavior. Arthropod. Plant Interact. 11, 89–97. doi: 10.1007/s11829-016-9469-1

Crossref Full Text | Google Scholar

Boiça Júnior, A. L., Souza, B. H. S. D., Costa, E. N., Ribeiro, Z. A., and Stout, M. J. (2015b). Factors Influencing Expression of Antixenosis in Soybean to Anticarsia gemmatalis and Spodoptera frugiperda (Lepidoptera: Noctuidae). J. Econ. Entomol. 108, 317–325. doi: 10.1093/jee/tou007

PubMed Abstract | Crossref Full Text | Google Scholar

Bueno, A., de, F., Braz-Zini, E. C., Horikoshi, R. J., Bernardi, O., Andrade, G., et al. (2025). Over 10 years of bt soybean in Brazil: lessons, benefits, and challenges for its use in integrated pest management (IPM). Neotrop. Entomol. 54, 61. doi: 10.1007/s13744-025-01275-5

PubMed Abstract | Crossref Full Text | Google Scholar

Cai, L., Qin, R., Li, X., Liu, X., Yu, D., and Wang, H. (2023). GmERF54, an ERF transcription factor, negatively regulates the resistance of soybean to the common cutworm (Spodoptera litura fabricius). Agronomy. 13, 596. doi: 10.3390/agronomy13020596

Crossref Full Text | Google Scholar

Canassa, V. F., Baldin, E. L. L., Bentivenha, J. P. F., Pannuti, L. E., da, R., and Lourenção, A. L. (2017). Characterization of antixenosis to Dichelops melacanthus (Hemiptera: Pentatomidae) in soybean genotypes. Int. J. Pest Manag. 63, 112–118. doi: 10.1080/09670874.2016.1227884

Crossref Full Text | Google Scholar

Carrière, Y. and Tabashnik, B. E. (2023). Fitness costs and incomplete resistance associated with delayed evolution of practical resistance to bt crops. Insects. 14, 214. doi: 10.3390/insects14030214

PubMed Abstract | Crossref Full Text | Google Scholar

Chen, J., Jiang, K., Li, Y., Wang, S., and Bu, W. (2024). Climate change effects on the diversity and distribution of soybean true bugs pests. Pest Manag. Sci. 80, 5157–5167. doi: 10.1002/ps.8243

PubMed Abstract | Crossref Full Text | Google Scholar

Chen, M. (2008). Inducible direct plant defense against insect herbivores: A review. Insect Sci. 15, 101–114. doi: 10.1111/j.1744-7917.2008.00190.x

PubMed Abstract | Crossref Full Text | Google Scholar

Chen, X., Richter, A. R., Stout, M. J., and Davis, J. A. (2018). Effects of induced plant resistance on soybean looper (Lepidoptera: Noctuidae) in soybean. Arthropod. Plant Interact. 12, 543–551. doi: 10.1007/s11829-018-9601-5

Crossref Full Text | Google Scholar

Coelho, M., Godoy, A. F., Baptista, Y. A., Bentivenha, J. P. F., Lourenção, A. L., Baldin, E. L. L., et al. (2020). Assessing soybean genotypes for resistance to helicoverpa armigera (Lepidoptera: noctuidae). J. Econ. Entomol. 113, 471–481. doi: 10.1093/jee/toz269

PubMed Abstract | Crossref Full Text | Google Scholar

Companhia Nacional de Abastecimento (CONAB) (2025). Acompanhamento da safra brasileira de Grãos, v. 12, safra 2024/25, n.12 décimo segundo levantamento, setembro de 2025.. Available online at: https://www.gov.br/conab/pt-br/atuacao/informacoes-agropecuarias/safras/safra-de-graos/boletim-da-safra-de-graos/12o-levantamento-safra-2024-25/e-book_boletim-de-safras-12o-levantamento_2025.pdf (Accessed September 8, 2025).

Google Scholar

da Graça, J. P., Ueda, T. E., Janegitz, T., Vieira, S. S., Salvador, M. C., de Oliveira, M. C. N., et al. (2016). The natural plant stress elicitor cis-jasmone causes cultivar-dependent reduction in growth of the stink bug, Euschistus heros and associated changes in flavonoid concentrations in soybean, Glycine max. Phytochemistry. 131, 84–91. doi: 10.1016/j.phytochem.2016.08.013

PubMed Abstract | Crossref Full Text | Google Scholar

Das, S., Rahman, M., Sarkar, R., Kumar Dash, P., Porter, L., and Kamal, M. (2022). Characterization of hostplant innate immunity from Kharif-II rice cultivars against rice leaf folder (Cnaphalocrocis medinalis Guen.) via in-situ screening and physicochemical assays. J. Asia Pac Entomol. 25, 101860. doi: 10.1016/j.aspen.2021.101860

Crossref Full Text | Google Scholar

de Almeida Barros, R., Meriño-Cabrera, Y., Castro, J. S., da Silva Junior, N. R., de Oliveira, J. V. A., Schultz, H., et al. (2022). Bovine pancreatic trypsin inhibitor and soybean Kunitz trypsin inhibitor: Differential effects on proteases and larval development of the soybean pest Anticarsia gemmatalis (Lepidoptera: Noctuidae). Pestic Biochem. Physiol. 187, 105188. doi: 10.1016/j.pestbp.2022.105188

PubMed Abstract | Crossref Full Text | Google Scholar

Debnath, R., George, J., Gautam, M., Shafi, I., Kariyat, R., and Reddy, G. V. P. (2024). Ecological interactions, host plant defenses, and control strategies in managing soybean looper, Chrysodeixis includens (Lepidoptera: Noctuidae). Front. Insect Sci. 4. doi: 10.3389/finsc.2024.1480940

PubMed Abstract | Crossref Full Text | Google Scholar

de Freitas, M. M., de Souza, B. H. S., Nogueira, L., Di Bello, M. M., and Boiça Júnior, A. L. (2018). Soybean defense induction to Spodoptera cosmioides herbivory is dependent on plant genotype and leaf position. Arthropod. Plant Interact. 12, 85–96. doi: 10.1007/s11829-017-9556-y

Crossref Full Text | Google Scholar

DeLucia, E. H., Nabity, P. D., Zavala, J. A., and Berenbaum, M. R. (2012). Climate change: resetting plant-insect interactions. Plant Physiol. 160, 1677–1685. doi: 10.1104/pp.112.204750

PubMed Abstract | Crossref Full Text | Google Scholar

de Paiva, A. C. R., Beloti, V. H., Iost Filho, F. H., and Yamamoto, P. T. (2024). Acute toxicity and duration of harmful activity of nine insecticides on Trichogramma pretiosum, a parasitoid used in augmented biological control of Helicoverpa spp. in Brazilian soybean fields. Int. J. Pest Manag. 70, 158–166. doi: 10.1080/09670874.2021.1969468

Crossref Full Text | Google Scholar

de Queiroz, E. B., da Silva, F. C., Junior, C. B., Araújo, M. S., Hirose, E., and de Jesus, F. G. (2020). Antixenosis in soybean to Spodoptera cosmioides (Lepidoptera: Noctuidae) mediated by leaf color and trichome density. Phytoparasitica. 48, 813–821. doi: 10.1007/s12600-020-00840-5

Crossref Full Text | Google Scholar

Deutsch, C. A., Tewksbury, J. J., Tigchelaar, M., Battisti, D. S., Merrill, S. C., Huey, R. B., et al. (2018). Increase in crop losses to insect pests in a warming climate. Sci. (1979). 361, 916–919. doi: 10.1126/science.aat3466

PubMed Abstract | Crossref Full Text | Google Scholar

Dillon, F. M., Chludil, H. D., and Zavala, J. A. (2017). Solar UV-B radiation modulates chemical defenses against Anticarsia gemmatalis larvae in leaves of field-grown soybean. Phytochemistry. 141, 27–36. doi: 10.1016/j.phytochem.2017.05.006

PubMed Abstract | Crossref Full Text | Google Scholar

Dillon, F. M., Tejedor, M. D., Ilina, N., Chludil, H. D., Mithöfer, A., Pagano, E. A., et al. (2018). Solar UV-B radiation and ethylene play a key role in modulating effective defenses against Anticarsia gemmatalis larvae in field-grown soybean. Plant Cell Environ. 41, 383–394. doi: 10.1111/pce.13104

PubMed Abstract | Crossref Full Text | Google Scholar

Divekar, P. A., Mishra, A., and Singh, A. K. (2025). “Plant secondary metabolites for defense against herbivores,” in Reference Series in Phytochemistry.. Cham: Springer Nature Switzerland AG, 605–616. doi: 10.1007/978-3-031-51158-5_24

Crossref Full Text | Google Scholar

Divekar, P. A., Narayana, S., Divekar, B. A., Kumar, R., Gadratagi, B. G., Ray, A., et al. (2022). Plant secondary metabolites as defense tools against herbivores for sustainable crop protection. Int. J. Mol. Sci. 23, 2690. doi: 10.3390/ijms23052690

PubMed Abstract | Crossref Full Text | Google Scholar

El-Refaie, R. M., Shaurub, E.-S. H., Abd-Allah, G. E., Ebeid, A. A., and Abouelnaga, Z. S. (2024). Effect of four host plants on the life history and nutritional indices of Spodoptera Littoralis. Int. J. Trop. Insect Sci. 44, 1091–1101. doi: 10.1007/s42690-024-01220-w

Crossref Full Text | Google Scholar

ElShahed, S. M., Mostafa, Z. K., Radwan, M. H., and Hosni, E. M. (2023). Modeling the potential global distribution of the Egyptian cotton leafworm, Spodoptera littoralis under climate change. Sci. Rep. 13, 17314. doi: 10.1038/s41598-023-44441-8

PubMed Abstract | Crossref Full Text | Google Scholar

Fanela, T. L. M., Baldin, E. L. L., Hunt, T. E., and Faria, R. D. (2020). Baseline plant-to-plant larval movement of spodoptera eridania in bt and non-bt soybean and its possible impacts on IRM. J. Econ. Entomol. 113, 1741–1752. doi: 10.1093/jee/toaa079

PubMed Abstract | Crossref Full Text | Google Scholar

Fang, Q., Cao, Y., Oo, T. H., Zhang, C., Yang, M., Tang, Y., et al. (2024). Overexpression of cry1c* Enhances Resistance against to Soybean Pod Borer (Leguminivora glycinivorella) in Soybean. Plants. 13, 630. doi: 10.3390/plants13050630

PubMed Abstract | Crossref Full Text | Google Scholar

Fernandes, S. D., Horikoshi, R. J., Dourado, P. M., Ovejero, R. F. L., Berger, G. U., Savaris, M., et al. (2024). Molecular characterization and demographic insights into soybean bud borer (Lepidoptera : Tortricidae) in Brazil. J. Insect Sci. 24, 1–9. doi: 10.1093/jisesa/ieae019

PubMed Abstract | Crossref Full Text | Google Scholar

Filho, F. H. I., Pazini, J., de, B., de Medeiros, A. D., Rosalen, D. L., and Yamamoto, P. T. (2022). Assessment of injury by four major pests in soybean plants using hyperspectral proximal imaging. Agronomy. 12, 1516. doi: 10.3390/agronomy12071516

Crossref Full Text | Google Scholar

Fonseca, S. S., Santos, A. L. Z., Pinto, C. P. G., Marques, L., Santos, A. C., Bing, J., et al. (2023). A soybean trypsin inhibitor reduces the resistance to transgenic maize in a population of Spodoptera frugiperda (Lepidoptera: Noctuidae). J. Econ. Entomol. 116, 2146–2153. doi: 10.1093/jee/toad188

PubMed Abstract | Crossref Full Text | Google Scholar

Food and Agriculture Organization (FAO) (2025). Crops and livestock products.. Available online at: https://www.fao.org/faostat/en/data/qcl (Accessed September 21, 2025).

Google Scholar

Formentini, A. C., Sosa-Gómez, D. R., Paula-Moraes, S. V. D., Barros, N. M. D., and Specht, A. (2015). Lepidoptera (Insecta) associated with soybean in Argentina, Brazil, Chile and Uruguay. Ciec. Rural. 45, 2113–2120. doi: 10.1590/0103-8478cr20141258

Crossref Full Text | Google Scholar

Freitas, L. M., Souza, B. H. S., Ferreira, F. S., Antunes, A. P. A., and Bruzi, A. T. (2024). Resistance of Bt and Non-Bt Soybean Cultivars Adapted to Novel Growing Regions of Brazil to Chrysodeixis includens and Spodoptera frugiperda. Neotrop. Entomol. 53, 1332–1342. doi: 10.1007/s13744-024-01208-8

PubMed Abstract | Crossref Full Text | Google Scholar

Freitas-Alves, N. S., Moreira-Pinto, C. E., Távora, F. T. P. K., Paes-de-Melo, B., Arraes, F. B. M., Lourenço-Tessutti, I. T., et al. (2025). CRISPR/Cas genome editing in soybean: challenges and new insights to overcome existing bottlenecks. J. Adv. Res. 73, 53–72. doi: 10.1016/j.jare.2024.08.024

PubMed Abstract | Crossref Full Text | Google Scholar

Fürstenberg-Hägg, J., Zagrobelny, M., and Bak, S. (2013). Plant defense against insect herbivores. Int. J. Mol. Sci. 14, 10242–10297. doi: 10.3390/ijms140510242

PubMed Abstract | Crossref Full Text | Google Scholar

Gaffield, K. N., Goodband, R. D., DeRouchey, J. M., Tokach, M. D., Woodworth, J. C., Denny, G., et al. (2024). A review of soybean processing byproducts and their use in swine and poultry diets. Transl. Anim. Sci. 8, txae063. doi: 10.1093/tas/txae063

PubMed Abstract | Crossref Full Text | Google Scholar

Gao, B., Yang, K., Tian, Y., Bai, B., Tian, Z., and Liu, J. (2024). Adaptability of the soybean aphid aphis glycines (Hemiptera: aphididae) to temperature and photoperiod in a laboratory experiment. Insects. 15, 816. doi: 10.3390/insects15100816

PubMed Abstract | Crossref Full Text | Google Scholar

Gautam, H., Sharma, A., and Trivedi, P. K. (2023). The role of flavonols in insect resistance and stress response. Curr. Opin. Plant Biol. 73, 102353. doi: 10.1016/j.pbi.2023.102353

PubMed Abstract | Crossref Full Text | Google Scholar

Gobbi, P. C., Fagundes, J. P. R., da Silva, L. R., Motta, F. B., da Cunha, U. S., Duarte, A., et al. (2024). Oviposition behavior and foliar consumption of Chrysodeixis includens (Lepidoptera: Noctuidae) in soybean genotypes. Ciencia Rural. 54, e20220474. doi: 10.1590/0103-8478cr20220474

Crossref Full Text | Google Scholar

Godói, C. T. D., Ishizuka, T. K., Gotardi, G. A., Batista, N. R. F., Marques, L. H., Santos, A. C. S., et al. (2025). Distribution of Rachiplusia nu and Chrysodeixis includens in Bt and Conventional Soybean Fields in Brazil. Insects. 16, 365. doi: 10.3390/insects16040365

PubMed Abstract | Crossref Full Text | Google Scholar

Godoy, D. N., Dallanora, A., Pretto, V. E., Palharini, R. B., Diniz, L. H. M., Moreira, R. P., et al. (2025). Susceptibility of Brazilian populations of Rachiplusia nu (Lepidoptera: Noctuidae) to insecticides and determination of diagnostic concentrations for a proactive resistance management program. Pest Manag. Sci. 81, 1829–1839. doi: 10.1002/ps.8580

PubMed Abstract | Crossref Full Text | Google Scholar

Godoy, D., Pretto, V., Weschenfelder, M., de Almeida, P., Wendt, A., Palharini, R., et al. (2022). Managing spodoptera species (Lepidoptera: noctuidae) found in Brazilian soybean fields with bt soybean and insecticides. Agronomy. 12, 2864. doi: 10.3390/agronomy12112864

Crossref Full Text | Google Scholar

Gols, R. (2014). Direct and indirect chemical defences against insects in a multitrophic framework. Plant Cell Environ. 37, 1741–1752. doi: 10.1111/pce.12318

PubMed Abstract | Crossref Full Text | Google Scholar

Gómez, J. D., Pinheiro, V. J. M., Silva, J. C., Romero, J. V., Meriño-Cabrera, Y., Coutinho, F. S., et al. (2020). Leaf metabolic profiles of two soybean genotypes differentially affect the survival and the digestibility of Anticarsia gemmatalis caterpillars. Plant Physiol. Biochem. 155, 196–212. doi: 10.1016/j.plaphy.2020.07.010

PubMed Abstract | Crossref Full Text | Google Scholar

Gómez, J. D., Vital, C. E., Oliveira, M. G. A., and Ramos, H. J. O. (2018). Broad range flavonoid profiling by LC/MS of soybean genotypes contrasting for resistance to Anticarsia gemmatalis (Lepidoptera: Noctuidae). PloS One. 13, e0205010. doi: 10.1371/journal.pone.0205010

PubMed Abstract | Crossref Full Text | Google Scholar

Gordy, J. W., Leonard, B. R., Blouin, D., Davis, J. A., and Stout, M. J. (2015). Comparative Effectiveness of Potential Elicitors of Plant Resistance against Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae) in Four Crop Plants. PloS One. 10, e0136689. doi: 10.1371/journal.pone.0136689

PubMed Abstract | Crossref Full Text | Google Scholar

Greene, A. D., Reay-Jones, F. P. F., Kirk, K. R., Peoples, B. K., and Greene, J. K. (2021). Spatial associations of key lepidopteran pests with defoliation, NDVI, and plant height in soybean. Environ. Entomol. 50, 1378–1392. doi: 10.1093/ee/nvab098

PubMed Abstract | Crossref Full Text | Google Scholar

Guo, Z., Kang, S., Sun, D., Gong, L., Zhou, J., Qin, J., et al. (2020). MAPK-dependent hormonal signaling plasticity contributes to overcoming Bacillus thuringiensis toxin action in an insect host. Nat. Commun. 11, 3003. doi: 10.1038/s41467-020-16608-8

PubMed Abstract | Crossref Full Text | Google Scholar

Gupta, S., Raypa, P., Chouhan, V., Kumar, S., and Ansari, Z. G. (2025). ““Role of tannins in plant defense and pathogen suppression,”,” in Plant Secondary Metabolites. (CRC Press, London), 177–201. doi: 10.1201/9781003717454-8

Crossref Full Text | Google Scholar

Han, T., Shao, Y., Gao, R., Gao, J., Jiang, Y., Yang, Y., et al. (2023). Functional Characterization of a (E)-β-Ocimene Synthase Gene Contributing to the Defense against Spodoptera litura. Int. J. Mol. Sci. 24, 7182. doi: 10.3390/ijms24087182

PubMed Abstract | Crossref Full Text | Google Scholar

Hartman, G., Pawlowski, M., Herman, T., and Eastburn, D. (2016). Organically grown soybean production in the USA: constraints and management of pathogens and insect pests. Agronomy. 6, 16. doi: 10.3390/agronomy6010016

Crossref Full Text | Google Scholar

Hill, J. G., Páez Jerez, P. G., Fernández, P. C., Herrera Linares, F., Rocha, M. F., and Vera, M. T. (2025). Impact of Amaranthus spp. weed presence on the population abundance of Spodoptera cosmioides (Lepidoptera: Noctuidae) in genetically engineered soybean crops. Crop Prot. 190, 107080. doi: 10.1016/j.cropro.2024.107080

Crossref Full Text | Google Scholar

Hodgson, E. W., Koch, R. L., Davis, J. A., Reisig, D., and Paula-Moraes, S. V. (2021). Identification and biology of common caterpillars in U.S. Soybean. J. Integr. Pest Manag. 12, 13. doi: 10.1093/jipm/pmab006

Crossref Full Text | Google Scholar

Hondelmann, P., Paul, C., Schreiner, M., and Meyhöfer, R. (2020). Importance of antixenosis and antibiosis resistance to the cabbage whitefly (Aleyrodes proletella) in brussels sprout cultivars. Insects. 11, 56. doi: 10.3390/insects11010056

PubMed Abstract | Crossref Full Text | Google Scholar

Horikoshi, R. J., Dourado, P. M., Berger, G. U., de S. Fernandes, D., Omoto, C., Willse, A., et al. (2021). Large-scale assessment of lepidopteran soybean pests and efficacy of Cry1Ac soybean in Brazil. Sci. Rep. 11, 1–14. doi: 10.1038/s41598-021-95483-9

PubMed Abstract | Crossref Full Text | Google Scholar

Horikoshi, R. J., Dourado, P. M., Bernardi, O., Willse, A., Godoy, W. A., Omoto, C., et al. (2022). Regional pest suppression associated with adoption of Cry1Ac soybean benefits pest management in tropical agriculture. Pest Manag. Sci. 78, 4166–4172. doi: 10.1002/ps.7034

PubMed Abstract | Crossref Full Text | Google Scholar

Huseth, A. S., Koch, R. L., Reisig, D., Davis, J. A., Paula-Moraes, S. V., and Hodgson, E. W. (2021). Current distribution and population persistence of five lepidopteran pests in U.S. Soybean. J. Integr. Pest Manag. 12, 1–10. doi: 10.1093/jipm/pmab004

Crossref Full Text | Google Scholar

Hymowitz, T. and Singh, R. J. (1987). “Taxonomy and speciation,” in Soybeans: improvement, production, and uses.. Ed. Wilcox, J. R. (Madison, WI: American Society of Agronomy), 23–48.

Google Scholar

Jha, Y. and Mohamed, H. I. (2022). Plant secondary metabolites as a tool to investigate biotic stress tolerance in plants: A review. Gesunde Pflanzen. 74, 771–790. doi: 10.1007/s10343-022-00669-4

Crossref Full Text | Google Scholar

Jin, Z., Wang, X., Wu, Y., and Yang, Y. (2026). Differential roles of ABCC2, ABCC3, and cadherin in mediating Cry1Ac toxicity in Spodoptera exigua. Pestic Biochem. Physiol. 216, 106721. doi: 10.1016/j.pestbp.2025.106721

PubMed Abstract | Crossref Full Text | Google Scholar

Johnson, S. N., Rowe, R. C., and Hall, C. R. (2020). Silicon is an inducible and effective herbivore defence against Helicoverpa punctigera (Lepidoptera: Noctuidae) in soybean. Bull. Entomol. Res. 110, 417–422. doi: 10.1017/s0007485319000798

PubMed Abstract | Crossref Full Text | Google Scholar

Jurat-Fuentes, J. L., Heckel, D. G., and Ferré, J. (2021). Mechanisms of resistance to insecticidal proteins from bacillus thuringiensis. Annu. Rev. Entomol. 66, 121–140. doi: 10.1146/annurev-ento-052620-073348

PubMed Abstract | Crossref Full Text | Google Scholar

Justus, C. M., Paula-Moraes, S. V., Pasini, A., Hoback, W. W., Hayashida, R., and Bueno, A. D. F. (2022). Simulated soybean pod and flower injuries and economic thresholds for Spodoptera eridania (Lepidoptera: Noctuidae) management decisions. Crop Prot. 155, 105936. doi: 10.1016/j.cropro.2022.105936

Crossref Full Text | Google Scholar

Kaler, E., Nabukalu, P., Murrell, E., Cox, S., and Louis, J. (2025). Utilizing genetic variation in perennial sorghum to improve host plant resistance to aphids. Sci. Rep. 15, 13569. doi: 10.1038/s41598-025-97746-1

PubMed Abstract | Crossref Full Text | Google Scholar

Kant, M. R., Jonckheere, W., Knegt, B., Lemos, F., Liu, J., Schimmel, B. C. J., et al. (2015). Mechanisms and ecological consequences of plant defence induction and suppression in herbivore communities. Ann. Bot. 115, 1015–1051. doi: 10.1093/aob/mcv054

PubMed Abstract | Crossref Full Text | Google Scholar

Kim, C. Y., Karthik, S., and Kim, H. (2025). Soybean molecular breeding through genome editing tools: recent advances and future perspectives. Agronomy. 15, 1983. doi: 10.3390/agronomy15081983

Crossref Full Text | Google Scholar

Kim, S.-Y., Kim, S. Y., Lee, S. M., Lee, D. Y., Shin, B. K., Kang, D. J., et al. (2020). Discrimination of cultivated regions of soybeans (Glycine max) based on multivariate data analysis of volatile metabolite profiles. Molecules. 25, 763. doi: 10.3390/molecules25030763

PubMed Abstract | Crossref Full Text | Google Scholar

Krisnawati, A., Zuyasna, Z., Soehendi, R., Baliadi, Y., Nuryati, N., and Adie, M. M. (2025). Resistance reaction of soybean genotypes to Spodoptera litura under free-choice and no-choice tests and selection based on multiple traits. Chil J. Agric. Res. 85, 193–205. doi: 10.4067/s0718-58392025000200193

Crossref Full Text | Google Scholar

Kriticos, D. J., Ota, N., Hutchison, W. D., Beddow, J., Walsh, T., Tay, W. T., et al. (2015). The potential distribution of invading Helicoverpa armigera in North America: Is it just a matter of time? PloS One. 10, e0119618. doi: 10.1371/journal.pone.0119618

PubMed Abstract | Crossref Full Text | Google Scholar

Ku, Y.-S., Contador, C. A., Ng, M.-S., Yu, J., Chung, G., and Lam, H.-M. (2020). The effects of domestication on secondary metabolite composition in legumes. Front. Genet. 11. doi: 10.3389/fgene.2020.581357

PubMed Abstract | Crossref Full Text | Google Scholar

Li, X., Hu, D., Cai, L., Wang, H., Liu, X., Du, H., et al. (2022). Calcium-dependent protein kinase38 regulates flowering time and common cutworm resistance in soybean. Plant Physiol. 190, 480–499. doi: 10.1093/plphys/kiac260

PubMed Abstract | Crossref Full Text | Google Scholar

Li, X., Li, B., and Meng, L. (2017). Below-ground nematode herbivory of resistant soybean cultivars impairs the performances of an above-ground caterpillar and its parasitoid. Ecol. Entomol. 42, 712–720. doi: 10.1111/een.12438

Crossref Full Text | Google Scholar

Li, X., Meng, L., Xing, G., and Li, B. (2016). Constitutive and induced resistance in soybean interact to affect the performance of a herbivore and its parasitoid. Biol. Control. 101, 145–151. doi: 10.1016/j.biocontrol.2016.07.008

Crossref Full Text | Google Scholar

Li, C., Nong, W., Boncan, D. A. T., So, W. L., Yip, H. Y., Swale, T., et al. (2024). Elucidating the ecophysiology of soybean pod-sucking stinkbug Riptortus pedestris (Hemiptera: Alydidae) based on de novo genome assembly and transcriptome analysis. BMC Genomics. 25, 327. doi: 10.1186/s12864-024-10232-2

PubMed Abstract | Crossref Full Text | Google Scholar

Li, X., Qin, R., Du, Q., Cai, L., Hu, D., Du, H., et al. (2020). Knockdown of GmVQ58 encoding a VQ motif-containing protein enhances soybean resistance to the common cutworm (Spodoptera litura Fabricius). J. Exp. Bot. 71, 3198–3210. doi: 10.1093/jxb/eraa095

PubMed Abstract | Crossref Full Text | Google Scholar

Lima, F., Rezende Neto, O. D., Teixeira, F. L., Araújo, M. D. S., Almeida, A. C. D. S., Hirose, E., et al. (2024). Antixenosis and antibiosis characterization on soybean cultivars of Anticarsia gemmatalis (Lepidoptera: Erebidae). Ciec. Rural. 54, e20220534. doi: 10.1590/0103-8478cr20220534

Crossref Full Text | Google Scholar

Lin, P., Chen, Y., Chaverra-Rodriguez, D., Heu, C. C., Zainuddin, N., Sidhu, J. S., et al. (2021). Silencing the alarm: an insect salivary enzyme closes plant stomata and inhibits volatile release. New Phytol. 230, 793–803. doi: 10.1111/nph.17214

PubMed Abstract | Crossref Full Text | Google Scholar

Liu, S., Fu, Y., Pan, D., Zhan, E., and Li, Y. (2025). APN3 Acts as a Functional Receptor of Bacillus thuringiensisCry1Ac in Grapholita molesta. J. Agric. Food Chem. 73, 13393–13404. doi: 10.1021/acs.jafc.5c04370

PubMed Abstract | Crossref Full Text | Google Scholar

Liu, L., He, W., Xu, P., Wei, W., Wang, J., and Liu, K. (2024a). Contribution of the transcription factor SfGATAe to Bt Cry toxin resistance in Spodoptera frugiperda through reduction of ABCC2 expression. Int. J. Biol. Macromol. 267, 131459. doi: 10.1016/j.ijbiomac.2024.131459

PubMed Abstract | Crossref Full Text | Google Scholar

Liu, M., Jiang, P., Chase, J. M., and Liu, X. (2024b). Global insect herbivory and its response to climate change. Curr. Biol. 34, 2558–2569.e3. doi: 10.1016/j.cub.2024.04.062

PubMed Abstract | Crossref Full Text | Google Scholar

López, M. L., Gómez, M. P., Díaz, A., Jofré Barud, F., Camina, J. L., and Dambolena, J. S. (2022). Changes in the volatile profile of four cultivars of quince (Cydonia oblonga) produced by codling moth (Cydia pomonella) infestation. Phytochem. Lett. 49, 187–191. doi: 10.1016/j.phytol.2022.03.019

Crossref Full Text | Google Scholar

Lucini, T., Panizzi, A. R., and de F. Bueno, A. (2021). Evaluating resistance of the soybean block technology cultivars to the Neotropical brown stink bug, Euschistus heros (F.). J. Insect Physiol. 131, 104228. doi: 10.1016/j.jinsphys.2021.104228

PubMed Abstract | Crossref Full Text | Google Scholar

Machado, E. P., dos S Rodrigues Junior, G. L., Somavilla, J. C., Führ, F. M., Zago, S. L., Marques, L. H., et al. (2020). Survival and development of Spodoptera eridania, Spodoptera cosmioides and Spodoptera albula (Lepidoptera: Noctuidae) on genetically-modified soybean expressing Cry1Ac and Cry1F proteins. Pest Manag. Sci. 76, 4029–4035. doi: 10.1002/ps.5955

PubMed Abstract | Crossref Full Text | Google Scholar

Machado, E. P., Garlet, C. G., Weschenfelder, M. A. G., Führ, F. M., Godoy, D. N., Pretto, V. E., et al. (2022). Interspecific variation in susceptibility to insecticides by lepidopteran pests of soybean, cotton, and maize crops from Brazil. J. Econ. Entomol. 115, 305–312. doi: 10.1093/jee/toab265

PubMed Abstract | Crossref Full Text | Google Scholar

Maciel, R. M. A., Amaro, J. T., Colombo, F. C., Neves, P. M. O. J., and Bueno, A. D. F. (2022). Mixture compatibility of Anticarsia gemmatalis nucleopolyhedrovirus (AgMNPV) with pesticides used in soybean. Ciec. Rural. 52, e20210027. doi: 10.1590/0103-8478cr20210027

Crossref Full Text | Google Scholar

Makhlouf, L., El Fakhouri, K., Kemal, S. A., Maafa, I., Meftah Kadmiri, I., and El Bouhssini, M. (2024). Potential of volatile organic compounds in the management of insect pests and diseases of food legumes: a comprehensive review. Front. Plant Sci. 15. doi: 10.3389/fpls.2024.1430863

PubMed Abstract | Crossref Full Text | Google Scholar

Mallinger, R. E., Hogg, D. B., and Gratton, C. (2011). Methyl salicylate attracts natural enemies and reduces populations of soybean aphids (Hemiptera: aphididae) in soybean agroecosystems. J. Econ. Entomol. 104, 115–124. doi: 10.1603/ec10253

PubMed Abstract | Crossref Full Text | Google Scholar

Marques, L. H., Castro, B. A., Rossetto, J., Silva, O. A. B. N., Moscardini, V. F., Zobiole, L. H. S., et al. (2016). Efficacy of soybean’s event DAS-81419–2 expressing cry1F and cry1Ac to manage key tropical lepidopteran pests under field conditions in Brazil. J. Econ. Entomol. 109, 1922–1928. doi: 10.1093/jee/tow153

PubMed Abstract | Crossref Full Text | Google Scholar

Marques, L. H., Santos, A. C., Castro, B. A., Moscardini, V. F., Rossetto, J., Silva, O. A. N., et al. (2017). Field evaluation of soybean transgenic event DAS-81419–2 expressing Cry1F and Cry1Ac proteins for the control of secondary lepidopteran pests in Brazil. Crop Prot. 96, 109–115. doi: 10.1016/j.cropro.2017.02.014

Crossref Full Text | Google Scholar

Mathpal, S., Gaur, N., and Joshi, R. (2022). Screening of Soybean Germplasm against Spodoptera litura (Fab.) for the Expression of Antixenosis Resistance Through Seasonal Incidence and Dual-feeding Assay. Legume Res. - Int. J. 47, 291–297. doi: 10.18805/lr-4916

Crossref Full Text | Google Scholar

Michereff, M. F. F., Magalhães, D. M., do Nascimento, I. N., Laumann, R. A., Borges, M., Withall, D. M., et al. (2024). Attracting Scelionidae egg parasitoids to enhance stink bug egg parasitisation in soybean crops using methyl salicylate and (E,E)-α-farnesene. Pest Manag. Sci. 80, 5452–5464. doi: 10.1002/ps.8274

PubMed Abstract | Crossref Full Text | Google Scholar

Mobarak, S. H., Basit, A., Gui, S.-H., Hu, C.-X., Yu, X.-L., Felton, G. W., et al. (2025). Volatile organic compounds as mediators in plant-herbivore interactions: mechanisms and evolutionary consequences. Entomol. Generalis. 45, 975–990. doi: 10.1127/entomologia/3516

Crossref Full Text | Google Scholar

Montezano, D. G., Specht, A., Ricardo Sosa-Gómez, D., Roque-Specht, V. F., Carlos Sousa-Silva, J., Ricardo, D., et al. (2018). Host plants of spodoptera frugiperda (Lepidoptera: noctuidae) in the Americas. Afr. Entomol. 26, 286–300. doi: 10.4001/003.026.0286

Crossref Full Text | Google Scholar

Morando, R., Baldin, E. L. L., Cruz, P. L., and Lourenção, A. L. (2017). Assessing common bean cultivars for resistance to the soybean looper chrysodeixis includens (Lepidoptera: noctuidae). Neotrop. Entomol. 46, 561–570. doi: 10.1007/s13744-017-0486-2

PubMed Abstract | Crossref Full Text | Google Scholar

Movva, V. and Pathipati, U. R. (2017). Feeding-induced phenol production in Capsicum annuum L. influences Spodoptera litura F. larval growth and physiology. Arch. Insect Biochem. Physiol. 95, e21387. doi: 10.1002/arch.21387

PubMed Abstract | Crossref Full Text | Google Scholar

Murúa, M. G., Scalora, F. S., Navarro, F. R., Cazado, L. E., Casmuz, A., Villagrán, M. E., et al. (2014). First record of helicoverpa armigera (Lepidoptera: noctuidae) in Argentina. Florida Entomol. 97, 854–856. doi: 10.1653/024.097.0279

Crossref Full Text | Google Scholar

Murúa, M. G., Vera, M. A., Herrero, M. I., Fogliata, S. V., and Michel, A. (2018). Defoliation of soybean expressing cry1Ac by lepidopteran pests. Insects. 9, 93. doi: 10.3390/insects9030093

PubMed Abstract | Crossref Full Text | Google Scholar

Nakata, R., Kimura, Y., Aoki, K., Yoshinaga, N., Teraishi, M., Okumoto, Y., et al. (2016). Inducible de novo biosynthesis of isoflavonoids in soybean leaves by spodoptera litura derived elicitors: tracer techniques aided by high resolution LCMS. J. Chem. Ecol. 42, 1226–1236. doi: 10.1007/s10886-016-0786-8

PubMed Abstract | Crossref Full Text | Google Scholar

North, H. L., Fu, Z., Metz, R., Stull, M. A., Johnson, C. D., Shirley, X., et al. (2024). Rapid adaptation and interspecific introgression in the North American crop pest helicoverpa zea. Mol. Biol. Evol. 41, 1–15. doi: 10.1093/molbev/msae129

PubMed Abstract | Crossref Full Text | Google Scholar

Núñez-Ramírez, R., Huesa, J., Bel, Y., Ferré, J., Casino, P., and Arias-Palomo, E. (2020). Molecular architecture and activation of the insecticidal protein Vip3Aa from Bacillus thuringiensis. Nat. Commun. 11, 3974. doi: 10.1038/s41467-020-17758-5

PubMed Abstract | Crossref Full Text | Google Scholar

Ongaratto, S., Silveira, C. M., Santos, M. C., Gorri, J. E. R., Sartori, M. M. P., Hunt, T. E., et al. (2021). Resistance of soybean genotypes to anticarsia gemmatalis (Lepidoptera: erebidae): antixenosis and antibiosis characterization. J. Econ. Entomol. 114, 2571–2580. doi: 10.1093/jee/toab197

PubMed Abstract | Crossref Full Text | Google Scholar

Ouaarous, M., El Fakhouri, K., Taarji, N., Baouchi, A., Amri, M., Ramdani, C., et al. (2025). Impact of field insect pests on seed and nutritional quality of some important crops: A comprehensive review. ACS Omega. 10, 8779–8792. doi: 10.1021/acsomega.4c08982

PubMed Abstract | Crossref Full Text | Google Scholar

Páez Jerez, P. G., Alves, A. C. L., Quinteros Cortes, J. E., Ribeiro, L. M., Hill, J. G., Vera, M. T., et al. (2023). Diamide seed treatment may protect early soybean growth stages against Helicoverpa armigera. Crop Prot. 168, 106214. doi: 10.1016/j.cropro.2023.106214

Crossref Full Text | Google Scholar

Pan, Z., Zhu, Y., Lin, C., Tang, M., Shen, Z., and Zheng, T. (2025). Transgenic soybean expressing Cry1Ab-Vip3A fusion protein confers broad-spectrum resistance to lepidopteran pest. Plant Cell Rep. 44, 87. doi: 10.1007/s00299-025-03463-4

PubMed Abstract | Crossref Full Text | Google Scholar

Park, S., Jang, J. Y., Lim, H., Kim, S., and Kim, J. G. (2025). Ecological dynamics of volatile organic compound–mediated interactions in aristolochia contorta with parasitoids and herbivores. Ecol. Evol. 15, e71175. doi: 10.1002/ece3.71175

PubMed Abstract | Crossref Full Text | Google Scholar

Paul, T. G., Catchot, A. L., Towles, T. B., and Ward, S. F. (2024). Cold temperatures drive the latitudinal range limits and inhibit overwintering survival of the redbanded stink bug (Hemiptera: Pentatomidae). J. Econ. Entomol. 117, 887–898. doi: 10.1093/jee/toae060

PubMed Abstract | Crossref Full Text | Google Scholar

Pereira, V., Figueira, O., and Castilho, P. C. (2024). Flavonoids as insecticides in crop protection—A review of current research and future prospects. Plants. 13, 776. doi: 10.3390/plants13060776

PubMed Abstract | Crossref Full Text | Google Scholar

Pereira, H. C., Pereira, F. F., Insabrald, V. B., Rodrigues, A., Lucchetta, J. T., Silva, F. W. S., et al. (2023). Selectivity of insecticides to a pupal parasitoid, trichospilus diatraeae (Hymenoptera: eulophidae), of soybean caterpillars. Insects. 14, 217. doi: 10.3390/insects14030217

PubMed Abstract | Crossref Full Text | Google Scholar

Perlatti, B., Fernandes, J. B., Silva, M. F. G. F., Ardila, J. A., Carneiro, R. L., Souza, B. H. S., et al. (2015). Application of a quantitative HPLC-ESI-MS/MS method for flavonoids in different vegetables matrices. J. Braz. Chem. Soc. 27, 475–483. doi: 10.5935/0103-5053.20150273

Crossref Full Text | Google Scholar

Peruca, R. D., Coelho, R. G., da Silva, G. G., Pistori, H., Ravaglia, L. M., Roel, A. R., et al. (2018). Impacts of soybean-induced defenses on Spodoptera frugiperda (Lepidoptera: Noctuidae) development. Arthropod. Plant Interact. 12, 257–266. doi: 10.1007/s11829-017-9565-x

Crossref Full Text | Google Scholar

Pinheiro, V. J. M., Gómez, J. D., Gouveia, A. S., Coutinho, F. S., Teixeira, R. M., Loriato, V. A. P., et al. (2024). Gene expression, proteomic, and metabolic profiles of Brazilian soybean genotypes reveal a possible mechanism of resistance to the velvet bean caterpillar Anticarsia gemmatalis. Arthropod. Plant Interact. 18, 15–32. doi: 10.1007/s11829-023-10030-9

Crossref Full Text | Google Scholar

Piubelli, G. C., Hoffmann-Campo, C. B., Moscardi, F., Miyakubo, S. H., and Neves De Oliveira, M. C. (2005). Are chemical compounds important for soybean resistance to anticarsia gemmatalis? J. Chem. Ecol. 31, 1509–1525. doi: 10.1007/s10886-005-5794-z

PubMed Abstract | Crossref Full Text | Google Scholar

Plata-Rueda, A., de Menezes, C. H. M., dos Santos Cunha, W., Alvarenga, T. M., Barbosa, B. F., Zanuncio, J. C., et al. (2020). Side-effects caused by chlorpyrifos in the velvetbean caterpillar Anticarsia gemmatalis (Lepidoptera: Noctuidae). Chemosphere. 259, 127530. doi: 10.1016/j.chemosphere.2020.127530

Crossref Full Text | Google Scholar

Possebom, T., Reisig, D., Huseth, A., and Vann, R. (2025). Impact of Helicoverpa zea (Lepidoptera: Noctuidae) feeding on yield components in double-cropped soybean with determinate and indeterminate growth habits. J. Econ. Entomol. 118, 2280–2289. doi: 10.1093/jee/toaf211

PubMed Abstract | Crossref Full Text | Google Scholar

Queiroz, E. B. D., Miranda, D. D. S., Silva, F. C. D., Borella Junior, C., Almeida, A. C. D. S., Hirose, E., et al. (2020). Antibiosis in soybean genotypes to Spodoptera cosmioides (Lepidoptera: Noctuidae). Rev. Bras. Entomol. 64, e20200010. doi: 10.1590/1806-9665-rbent-2020-0010

Crossref Full Text | Google Scholar

Rafael, J., Soares, S., Siqueira Da Silva, R., Ramos, R. S., and Picanço, M. C. (2021). Distribution and invasion risk assessments of Chrysodeixis includens (Walker, [1858]) (Lepidoptera: Noctuidae) using CLIMEX. Int. J. Biometeorol. 65, 1137–1149. doi: 10.1007/s00484-021-02094-0

PubMed Abstract | Crossref Full Text | Google Scholar

Reisig, D. D. (2017). Factors associated with willingness to plant non-bt maize refuge and suggestions for increasing refuge compliance. J. Integr. Pest Manag. 8, 9. doi: 10.1093/jipm/pmx002

Crossref Full Text | Google Scholar

Ren, Y., Li, Y., Ju, Y., Zhang, W., and Wang, Y. (2023). Insect cuticle and insecticide development. Arch. Insect Biochem. Physiol. 114, e22057. doi: 10.1002/arch.22057

PubMed Abstract | Crossref Full Text | Google Scholar

Rezende, V. T., Ali, S., Bonaudo, T., and Gameiro, A. H. (2023). Brazilian soybeans as feed for livestock in Europe: an insight into the nitrogen flows. Reg. Environ. Change. 23, 33. doi: 10.1007/s10113-023-02034-1

PubMed Abstract | Crossref Full Text | Google Scholar

Rocha, D. D. D., Santos, B. L. F., Melo, J. O. F., Nascimento, P. T., and Fadini, M. A. M. (2023). Volatile compounds from soybeans under multiple on herbivores infestations attract the predatory mite Neoseiulus californicus (Acari: Phytoseiidae). Braz. J. Biol. 83, e267598. doi: 10.1590/1519-6984.267598

PubMed Abstract | Crossref Full Text | Google Scholar

Romani, A., Vignolini, P., Galardi, C., Aroldi, C., Vazzana, C., and Heimler, D. (2003). Polyphenolic content in different plant parts of soy cultivars grown under natural conditions. J. Agric. Food Chem. 51, 5301–5306. doi: 10.1021/jf0212136

PubMed Abstract | Crossref Full Text | Google Scholar

Romero, B., Dillon, F. M., and Zavala, J. A. (2020). Different soybean cultivars respond differentially to damage in a herbivore-specific manner and decreas herbivore performance. Arthropod. Plant Interact. 14, 89–99. doi: 10.1007/s11829-019-09730-y

Crossref Full Text | Google Scholar

Roumani, M., Besseau, S., Gagneul, D., Robin, C., and Larbat, R. (2021). Phenolamides in plants: an update on their function, regulation, and origin of their biosynthetic enzymes. J. Exp. Bot. 72, 2334–2355. doi: 10.1093/jxb/eraa582

PubMed Abstract | Crossref Full Text | Google Scholar

Roumani, M., Le Bot, J., Boisbrun, M., Magot, F., Péré, A., Robin, C., et al. (2022). Transcriptomics and metabolomics analyses reveal high induction of the phenolamide pathway in tomato plants attacked by the leafminer tuta absoluta. Metabolites. 12, 484. doi: 10.3390/metabo12060484

PubMed Abstract | Crossref Full Text | Google Scholar

Santos, A. A., dos Santos, I. B., and Paula-Moraes, S. V. (2023). Flight phenology of elasmopalpus lignosellus (Lepidoptera: pyralidae) in the Northwest Florida panhandle. Insects. 14, 354. doi: 10.3390/insects14040354

PubMed Abstract | Crossref Full Text | Google Scholar

Sardinha De Souza, B. H., Neves Costa, E., Gonçalves Da Silva, A., Leal, A., and Júnior, B. (2014). Aspectos Bionômicos de Spodoptera eridania (Cramer): Uma Praga em Expansão na Cultura da Soja na Região do Cerrado Brasileiro. EntomoBrasilis. 7, 75–80. doi: 10.12741/ebrasilis.v7i2.381

Crossref Full Text | Google Scholar

Schlick-Souza, E. C., Baldin, E. L. L., Morando, R., and Lourenção, A. L. (2017). Antixenosis to Chrysodeixis includens (Lepidoptera: Noctuidae) among soybean genotypes. Bragantia. 77, 124–133. doi: 10.1590/1678-4499.2016449

Crossref Full Text | Google Scholar

Sebaei, R. S. (2024). Field evaluation of some selected chemical and bio insecticides against the cotton leafworm spodoptera littoralis (Boisduval) (Lepidoptera: noctuidae) which infesting soybean. Ann. Agric. Sci. Moshtohor. 0, 81–86. doi: 10.21608/assjm.2024.299851.1298

Crossref Full Text | Google Scholar

Shim, S., Kang, I.-J., You, H. J., Kim, H., and Lee, S. (2024). Transcriptome comparison between resistant and susceptible soybean cultivars in response to inoculation of phytophthora sojae. Plant Pathol. J. 40, 641–655. doi: 10.5423/ppj.oa.09.2024.0154

PubMed Abstract | Crossref Full Text | Google Scholar

Silva, P. L. D., Cordeiro, G., Silva, C. R. D., Barros, R. A., Silva, C. R. D., Zanuncio, J. C., et al. (2018). Does mechanical damage on soybean induces the production of flavonoids? Acad. Bras. Cienc. 90, 3415–3422. doi: 10.1590/0001-3765201820170850

PubMed Abstract | Crossref Full Text | Google Scholar

Silva, G. V., Pasini, A., Bueno, A. D. F., Bortolotto, O. C., Barbosa, G. C., and Cruz, Y. K. S. (2014). No impact of Bt soybean that express Cry1Ac protein on biological traits of Euschistus heros (Hemiptera, Pentatomidae) and its egg parasitoid Telenomus podisi (Hymenoptera, Platygastridae). Rev. Bras. Entomol. 58, 285–290. doi: 10.1590/s0085-56262014000300010

Crossref Full Text | Google Scholar

Smith, C. M. (2005). Plant resistance to arthropods: molecular and conventional approaches. (Dordrecht: Springer Netherlands).

Google Scholar

Song, Y., Cang, X., He, W., Zhang, H., and Wu, K. (2024). Migration activity of spodoptera litura (Lepidoptera: noctuidae) between China and the South-Southeast Asian Region. Insects. 15, 335. doi: 10.3390/insects15050335

PubMed Abstract | Crossref Full Text | Google Scholar

Song, J., Lee, G., Jung, J., Moon, J.-K., and Kim, S.-G. (2022). Effect of soybean volatiles on the behavior of the bean bug, riptortus pedestris. J. Chem. Ecol. 48, 207–218. doi: 10.1007/s10886-021-01343-1

PubMed Abstract | Crossref Full Text | Google Scholar

Souza, B. H. S., Costa, E. N., Ribeiro, Z. A., Perlatti, B., Cruz, M. C. P., Forim, M. R., et al. (2021). Soybean leaf age and plant stage influence expression of resistance to velvetbean caterpillar and fall armyworm. Chemoecology. 31, 377–390. doi: 10.1007/s00049-021-00360-6

Crossref Full Text | Google Scholar

Souza, B. H. S., Silva, A. G., Janini, J. C., and Boica Júnior, A. L. (2014). Antibiosis in soybean genotypes and the resistance levels to spodoptera eridania (Cramer) (Lepidoptera: noctuidae). Neotrop. Entomol. 43, 582–587. doi: 10.1007/s13744-014-0241-x

PubMed Abstract | Crossref Full Text | Google Scholar

Specht, A., Montezano, D. G., Sosa-Gómez, D. R., Paula-Moraes, S. V., Roque-Specht, V. F., and Barros, N. M. (2016). Reproductive potential of Spodoptera eridania (Stoll) (Lepidoptera: Noctuidae) in the laboratory: effect of multiple couples and the size. Braz. J. Biol. 76, 526–530. doi: 10.1590/1519-6984.23114

PubMed Abstract | Crossref Full Text | Google Scholar

Spréa, R. M., Finimundy, T. C., Calhelha, R. C., Pires, T. C. S. P., Prieto, M. A., Amaral, J. S., et al. (2024). Comprehensive analysis of soybean (Glycine max L.) by-products: Nutritional value, phenolic composition, and bioactive properties. Food Biosci. 62, 105382. doi: 10.1016/j.fbio.2024.105382

Crossref Full Text | Google Scholar

Stacke, R. F., Godoy, D. N., Pretto, V. E., Führ, F. M., Gubiani, P., da, S., et al. (2020). Field-evolved resistance to chitin synthesis inhibitor insecticides by soybean looper, Chrysodeixis includens (Lepidoptera: Noctuidae), in Brazil. Chemosphere. 259, 127499. doi: 10.1016/j.chemosphere.2020.127499

PubMed Abstract | Crossref Full Text | Google Scholar

Stec, K., Kordan, B., Sergiel, I., Biesaga, M., Mroczek, J., Bocianowski, J., et al. (2021). Antixenosis in Glycine max (L.) Merr against Acyrthosiphon pisum (Harris). Sci. Rep. 11, 15289. doi: 10.1038/s41598-021-94703-6

PubMed Abstract | Crossref Full Text | Google Scholar

Stenberg, J. A. and Muola, A. (2017). How should plant resistance to herbivores be measured? Front. Plant Sci. 8. doi: 10.3389/fpls.2017.00663

PubMed Abstract | Crossref Full Text | Google Scholar

Stout, M. J. (2013). Reevaluating the conceptual framework for applied research on host-plant resistance. Insect Sci. 20, 263–272. doi: 10.1111/1744-7917.12011

PubMed Abstract | Crossref Full Text | Google Scholar

Stout, M. J. (2014). “Host-plant resistance in pest management,” in Integrated pest Management. (Oxford, UK: Elsevier), 1–21. doi: 10.1016/B978-0-12-398529-3.00002-6

Crossref Full Text | Google Scholar

Strapasson, P., Pinto-Zevallos, D. M., Da Silva Gomes, S. M., and Zarbin, P. H. G. (2016). Volatile Organic Compounds Induced by Herbivory of the Soybean Looper Chrysodeixis includens in Transgenic Glyphosate-Resistant Soybean and the Behavioral Effect on the Parasitoid, Meteorus rubens. J. Chem. Ecol. 42, 806–813. doi: 10.1007/s10886-016-0740-9

PubMed Abstract | Crossref Full Text | Google Scholar

Sultana, M. S., Mazarei, M., Jurat-Fuentes, J. L., Hewezi, T., Millwood, R. J., and Stewart, C. N. (2023). Overexpression of soybean trypsin inhibitor genes decreases defoliation by corn earworm (Helicoverpa zea) in soybean (Glycine max) and Arabidopsis thaliana. Front. Plant Sci. 14. doi: 10.3389/fpls.2023.1129454

PubMed Abstract | Crossref Full Text | Google Scholar

Tanaka, K. and Heil, M. (2021). Damage-associated molecular patterns (DAMPs) in plant innate immunity: applying the danger model and evolutionary perspectives. Annu. Rev. Phytopathol. 59, 53–75. doi: 10.1146/annurev-phyto-082718-100146

PubMed Abstract | Crossref Full Text | Google Scholar

Togola, A., Beyene, Y., Bocco, R., Tepa-Yotto, G., Gowda, M., Too, A., et al. (2025). Fall armyworm (Spodoptera frugiperda) in Africa: insights into biology, ecology and impact on staple crops, food systems and management approaches. Front. Agron. 7. doi: 10.3389/fagro.2025.1538198

Crossref Full Text | Google Scholar

Traw, M. B. and Dawson, T. E. (2002). Differential induction of trichomes by three herbivores of black mustard. Oecologia. 131, 526–532. doi: 10.1007/s00442-002-0924-6

PubMed Abstract | Crossref Full Text | Google Scholar

Ulhoa, L. A., de Freitas, C. A., de Freitas, M. M., and Júnior, A. L. B. (2023). Constitutive resistance in bean genotypes to Chrysodeixis includens (Walker) (Lepidoptera: Noctuidae). Int. J. Trop. Insect Sci. 43, 1339–1354. doi: 10.1007/s42690-023-01043-1

Crossref Full Text | Google Scholar

United States Department of Agriculture (USDA) (2025a). Adoption of genetically engineered crops in the United States - recent trends in GE adoption.. Available online at: https://www.ers.usda.gov/data-products/adoption-of-genetically-engineered-crops-in-the-united-states/recent-trends-in-ge-adoption (Accessed December 17, 2025).

Google Scholar

United States Department of Agriculture (USDA) (2025b). Production - soybeans.. Available online at: https://www.fas.usda.gov/data/commodities/soybeans (Accessed September 8, 2025).

Google Scholar

United States Department of Agriculture (USDA) (2025c). Soybean supply and demand.. Available online at: https://www.ers.usda.gov (Accessed September 22, 2025).

Google Scholar

Usha Rani, P. and Pratyusha, S. (2014). Role of castor plant phenolics on performance of its two herbivores and their impact on egg parasitoid behaviour. BioControl. 59, 513–524. doi: 10.1007/s10526-014-9590-y

Crossref Full Text | Google Scholar

Van Loon, M. P., Alimagham, S., Pronk, A., Fodor, N., Ion, V., Kryvoshein, O., et al. (2023). Grain legume production in Europe for food, feed and meat-substitution. Glob Food Sec. 39, 100723. doi: 10.1016/j.gfs.2023.100723

Crossref Full Text | Google Scholar

Vivaldo, G., Masi, E., Taiti, C., Caldarelli, G., and Mancuso, S. (2017). The network of plants volatile organic compounds. Sci. Rep. 7, 11050. doi: 10.1038/s41598-017-10975-x

PubMed Abstract | Crossref Full Text | Google Scholar

Wan, N.-F., Deng, J.-Y., Huang, K.-H., Ji, X.-Y., Zhang, H., Jiang, J.-X., et al. (2017). Nucleopolyhedrovirus infection enhances plant defences by increasing plant volatile diversity. Biocontrol Sci. Technol. 27, 1292–1307. doi: 10.1080/09583157.2017.1393498

Crossref Full Text | Google Scholar

War, A. R., Paulraj, M. G., Ahmad, T., Buhroo, A. A., Hussain, B., Ignacimuthu, S., et al. (2012). Mechanisms of plant defense against insect herbivores. Plant Signal Behav. 7, 1306–1320. doi: 10.4161/psb.21663

PubMed Abstract | Crossref Full Text | Google Scholar

War, A. R., Taggar, G. K., Hussain, B., Taggar, M. S., Nair, R. M., and Sharma, H. C. (2018). Plant defence against herbivory and insect adaptations. AoB Plants. 10, ply037. doi: 10.1093/aobpla/ply037

Crossref Full Text | Google Scholar

Wari, D., Aboshi, T., Shinya, T., and Galis, I. (2022). Integrated view of plant metabolic defense with particular focus on chewing herbivores. J. Integr. Plant Biol. 64, 449–475. doi: 10.1111/jipb.13204

PubMed Abstract | Crossref Full Text | Google Scholar

Wille, P. E., Pereira, B. A., Wille, C. L., Restelatto, S. S., Boff, M. I. C., and Franco, C. R. (2017). Natural resistance of soybean cultivars to the soybean looper larva Chrysodeixis includens (Lepidoptera: Noctuidae). Pesqui. Agropecu Bras. 52, 18–25. doi: 10.1590/s0100-204x2017000100003

Crossref Full Text | Google Scholar

Wyckhuys, K. A. G., Akutse, K. S., Amalin, D. M., Araj, S. E., Barrera, G., Beltran, M. J. B., et al. (2024). Global scientific progress and shortfalls in biological control of the fall armyworm Spodoptera frugiperda. Biol. Control. 191, 105460. doi: 10.1016/j.biocontrol.2024.105460

Crossref Full Text | Google Scholar

Xu, Y., Ye, Z., Xie, Z., Zhang, D., Liu, X., Yan, Y., et al. (2022). Comparison of trapping effects of different traps and monitoring the occurrence dynamics of spodoptera litura in soybean fields of Dangtu, Anhui Province, China. Agronomy. 13, 47. doi: 10.3390/agronomy13010047

Crossref Full Text | Google Scholar

Yadav, M. and Singh, A. (2024). Reprogramming of Glycine max (Soybean) Proteome in Response to Spodoptera litura (Common Cutworm)-Infestation. J. Plant Growth Regul. 43, 1934–1953. doi: 10.1007/s00344-023-11232-4

Crossref Full Text | Google Scholar

Yano, M., Inoue, T., Nakata, R., Teraishi, M., Yoshinaga, N., Ono, H., et al. (2021). Evaluation of antixenosis in soybean against Spodoptera litura by dual-choice assay aided by a statistical analysis model: Discovery of a novel antixenosis in Peking. J. Pestic Sci. 46, 182–188. doi: 10.1584/jpestics.d21-006

PubMed Abstract | Crossref Full Text | Google Scholar

Yousefi-Taemeh, M., Lin, J., Ifa, D. R., Parrott, W., and Kovinich, N. (2021). Metabolomics differences of glycine max QTLs resistant to soybean looper. Metabolites. 11, 710. doi: 10.3390/metabo11100710

PubMed Abstract | Crossref Full Text | Google Scholar

Zhang, Y. (2023). Global Potential Geographical Distribution of the Southern Armyworm (Spodoptera eridania) under Climate Change. Biol. (Basel). 12, 1–14. doi: 10.3390/biology12071040

PubMed Abstract | Crossref Full Text | Google Scholar

Zhang, Y., Guo, W., Chen, L., Shen, X., Yang, H., Fang, Y., et al. (2022). CRISPR/cas9-mediated targeted mutagenesis of gmUGT enhanced soybean resistance against leaf-chewing insects through flavonoids biosynthesis. Front. Plant Sci. 13, 802716. doi: 10.3389/fpls.2022.802716

PubMed Abstract | Crossref Full Text | Google Scholar

Zhang, Y. F., Wan, G. J., Liu, B., Zhang, X. G., Xing, G. N., and Chen, F. J. (2018). Elevated CO2 and temperature alter development and food utilization of Spodoptera litura fed on resistant soybean. J. Appl. Entomol. 142, 250–262. doi: 10.1111/jen.12463

Crossref Full Text | Google Scholar

Zhao, Z., Fu, Y., Wang, H., Ahmad, B., and Jin, F. (2025). Optimizing soybean-pig integration zones in China: a multi-algorithm approach using random forest, LSTM, and clustering for feed grain and meat security balance. Front. Sustain Food Syst. 9, 1488994. doi: 10.3389/fsufs.2025.1488994

Crossref Full Text | Google Scholar

Zheng, S., Luo, J., Zhu, X., Gao, X., Hua, H., and Cui, J. (2022). Transcriptomic analysis of salivary gland and proteomic analysis of oral secretion in Helicoverpa armigera under cotton plant leaves, gossypol, and tannin stresses. Genomics. 114, 110267. doi: 10.1016/j.ygeno.2022.01.004

PubMed Abstract | Crossref Full Text | Google Scholar

Zhou, W., Arcot, Y., Medina, R. F., Bernal, J., Cisneros-Zevallos, L., and Akbulut, M. E. S. (2024). Integrated pest management: an update on the sustainability approach to crop protection. ACS Omega. 9, 41130–41147. doi: 10.1021/acsomega.4c06628

PubMed Abstract | Crossref Full Text | Google Scholar

Zhou, Y. Y., Luo, S. H., Yi, T. S., Li, C. H., Luo, Q., Hua, J., et al. (2011). Secondary metabolites from Glycine soja and their growth inhibitory effect against Spodoptera litura. J. Agric. Food Chem. 59, 6004–6010. doi: 10.1021/jf200821p

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: integrated pest management, lepidoptera, natural resistance, secondary metabolites, soy, sustainable agriculture

Citation: Costa JO, Peña Arroyo VP, Núñez-de la Rosa Y, Ballesteros-Ballesteros VA, Nisperuza Toledo JL and Birolli WG (2026) Chemical defense mechanisms of soybean genotypes against lepidopterans. Front. Plant Sci. 17:1744490. doi: 10.3389/fpls.2026.1744490

Received: 12 November 2025; Accepted: 04 January 2026; Revised: 24 December 2025;
Published: 29 January 2026.

Edited by:

Shouchuang Wang, Hainan University, China

Reviewed by:

Peng Cao, Hainan University, China
Yaxin Li, Hainan University, China

Copyright © 2026 Costa, Peña Arroyo, Núñez-de la Rosa, Ballesteros-Ballesteros, Nisperuza Toledo and Birolli. 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: Yeison Núñez-de la Rosa, eWVpc29uLm51bmV6QGxpYmVydGFkb3Jlcy5lZHUuY28=; Willian Garcia Birolli, d2lsbGlhbi5iaXJvbGxpQHVmc2Nhci5icg==

These authors have contributed equally to this work and share first authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.