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Advancements, Challenges, and Future Perspectives of Soybean Integrated Pest Management

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17 December 2025

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18 December 2025

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Abstract
Soybean is usually grown at large scales, with pest control based on insecticides. However, the overuse of chemicals has led to several adverse effects. Thus, integrated pest management (IPM) is the best way to protect yield through integrating different pest control tools, based on plant resistance (including Bt cultivars), adoption of economic thresholds (ETs), scouting procedures, use of selective insecticides, biological control, and other sustainable tools, which help maintain environmental quality in an ecological and economical manner. Soon, those tools will also include RNAi, CRISPR based control strategies, among other sustainable alternatives. In Brazil, results from the Soybean-IPM Program indicate that adopters of the technology have reduced insecticide use by approximately 50% relative to non-adopters, with yields comparable to or slightly higher than those of non-adopters. This reduction can be explained not only by the widespread adoption of Bt soybean varieties across the country but also by the adoption of ETs in Soybean-IPM, which has reduced insecticide use, thereby increasing natural biological control in the agroecosystem. However, low refuge compliance has led to the first cases of pest resistance to Cry1Ac, thereby growing reliance on chemical control and posing an additional challenge for integrated pest management practitioners. The obstacles to adopting IPM programs for commodity crops, such as soybean, may be mitigated by recent economic incentives within the new global agenda for decarbonized agriculture and the increase of bioinputs available in the Brazilian market. Such incentives can support the broader adoption of IPM, thereby reducing dependence on chemical inputs to achieve high yields.
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1. Introduction

Soybean, Glycine max (L.) Merrill, is one of the most important crops around the world [1], responsible for 60% of vegetable protein and roughly 30% of the world's supply of edible oil [2]. Production reached 396 million metric tons in the 2023/2024 season [3], and will continue to growth because of the increasing global demand for food and biodiesel [4]. Despite its increasing production, soybean yields can be severely impacted by outbreaks of a diversity of pest species, especially from caterpillars and hemipterans [5]. These pests cause global losses of 29% or higher when not properly managed [6,7]. In Brazil, the world leader in production, soybean losses from pests have reached 4.31 million tons each year [8].
Despite chemical insecticides remaining effective against pests [9] and playing an important role in managing soybean pests [3,10], the overdependency on chemicals has raised concerns about their lasting impact on the environment [11] and human health [12]. The overuse of chemicals can trigger several adverse side effects, including outbreaks of secondary pests [13], selection of resistant pests [14], detrimental effects to pollinators [15] and biocontrol agents [16], in addition to potentially harming environmental and human health [17]. Consequently, reducing the use of chemical insecticides in agriculture has been an increasing demand [18] and an important goal of public policies around the world [19].
Among the most efficient strategies to control pests in agriculture, the adoption of Integrated Pest Management (IPM) which includes limiting insecticide use to only when strictly necessary, [20] improves safety to non-target organisms [21] and final consumers [22] while also increasing farmer profits [10]. As a science-based pest management approach, Soybean-IPM aims to use a combination of strategies, including biological control agents, plant resistance, and less harmful chemicals, among others to manage pests while minimizing risks to people, non-target organisms, property, and the environment [23].
Despite the known benefits provided by its adoption, IPM has not been implemented with the intensity it should be by many growers [13]. For instance, in the state of Parana, Brazil, 78.8% of the soybean farmers declare knowing how to practice Soybean-IPM, but only 31.4% of those farmers have adopted the strategy. Despite increasing knowledge and adoption of Soybean-IPM over the last years, there are still a large number of farmers who do not know about IPM (21.2%, 2023/24) and even a greater number of farmers who, despite knowing the strategies, do not practice Soybean-IPM (68.6%, 2023/24) (Figure 1). Despite these challenges, soybean-IPM is considered the most successful IPM program developed in Brazil, resulting in the reduction in amount of insecticide used to control insect pests by about 50% [10,27].
Since the 2013/14 growing season, the Soybean IPM program in the state of Paraná, Brazil, was reinforced by a joint force of federal (represented by the research institution, Embrapa Soja) and state (represented by the extension service and research institution, Paraná Rural Development Institute - IDR) governments as well as several farmers who made available their soybean fields each growing season to demonstrate the benefits of adopting sustainable Soybean-IPM. Those soybean fields have been called Unit of Technological Reference (UTR), which was identified and accompanied by the IDR-Paraná extension program throughout the whole soybean growing season. An extensionist was responsible for one or more weekly pest-sampling (scouting) in the field and for quantifying pests per meter and defoliation. Insecticides were applied only when Economic Thresholds (ETs) were reached or surpassed [10]. Simultaneously, a survey was carried out, with the aid of a questionnaire, with farmers not assisted by the Soybean-IPM program to quantify the number and time of chemical applications. With the answers, a comparison was made between non-assisted and assisted farmers to evaluate the results and challenges of the adoption of Soybean-IPM in the state, which is further discussed in the following sections.

2. Soybean-IPM: A Successful Case Study from the State of Paraná, Brazil

Comparing the results from Adopters of Soybean-IPM with Non-Adopters across eleven soybean seasons, adopters reduced the average number of insecticide applications by 52.8% (varying from 43.3% in 2019/20 to 69.2% in 2021/22 seasons) compared to farmers who did not adopt IPM. This reduction resulted in reduction of pest control costs of 51.6%, which is equivalent to 117 kg of soybean per hectare (ha). The adoption of IPM not only reduced pest control costs but also slightly increased average yield by 93.8 kg/ha (2.8%), resulting in an average increased profit of 210.7 kg/ha to the adopters of Soybean-IPM (Table 1). Thus, the adoption of Soybean-IPM triggered an increased profit to farmers associated with a more sustainable and efficient pest management [10]. These results are not surprising as the profitability of IPM adoption has been consistently reported in the scientific literature [36]. A profitable return from the adoption of IPM in soybean was reported ranging of $0.6 to $2.6 billion dollars in 2005 for USA farmers [37]. Similar positive economic results are also reported for soybean adopters in Brazil [38], Argentina [5], and India [39], as well as other world soybean producers, including Indonesia, for example [40].
Not only is Soybean-IPM adoption more profitable to farmers but also safer to the environment and biological control and pollinator preservation. The days from sowing the fields to the first insecticide application increased approximately 37% from 46.9 days (nonadopters) to 73.4 days for the Soybean-IPM adopters (Table 1). Delaying insecticide application by 26.5 days is an important strategy to conserve predators, parasitoids, and pollinators, which benefit critical ecosystem services provided by these organisms [10].
Despite not being universally adopted (Figure 1), Soybean-IPM is definitely a case of success in Brazil [27], leading to a significant reduction in insecticide sprays compared with non-adopters of the technology [10]. It is important to highlight that the reduction of traditional chemical insecticides used in soybean has been a result not only of the adoption of ETs as the core of IPM decisions [41], but also as a consequence of the increasing use of biological control agents as well as adoption of varieties of Bt soybean in Brazil. These are further discussed in the following sub sections of this review.

3. Use of Economic Thresholds (ETs) in Soybean-IPM

Pest monitoring (insect sampling and identification) and decision-making comparing pest populations with ETs, are the basis of Soybean-IPM (Figure 2) and crucial to its success [42]. ETs are based on the premise that cultivated plants can tolerate certain levels of injury without economically significant yield reductions [43] and, therefore, not all herbivorous insects will become pests and/or require control (Figure 3) [48,49]. In this context a decision to control any pest species in soybean should only be made when the pest population is equal to or greater than previously established ETs (Figure 3, Table 2) or is expected to surpass those levels within hours or a few days [41].
The established ETs for soybean pests slightly differ around the world because of variations in crop value, different adopted cultivars, pest control costs, different pest species of occurrence, local environmental conditions and the availability and effectiveness of different control technologies available. All those factors play a significant role in determining ETs which differ as a result [58]. For instance, differences in the ETs for defoliators (Lepidoptera) and stink bugs (Hemiptera: Pentatomidae) have been reported between Brazil and the USA, which are the first and second global soybean producers, respectively. While ET for defoliators is 30% defoliation (in the vegetative stage) or 15% defoliation (in the reproductive state) in Brazil [41], in the USA, the ET is 35% defoliation at the vegetative stage and 20% at the reproductive stage [53]. Not only can ETs vary among countries but also among regions in the same country [54]. ET for defoliation in the USA varies from 40% to 30% defoliation during vegetative stages and from 25% to 15% defoliation during reproductive stages in different growing areas of the country (Table 2).
Compared with defoliators, ET for stink bugs vary less. The recommended ETs for stink bugs in soybean is two insects larger than 0.5 cm (including nymphs from 3nd instar to adults) per row meter if the fields are intended for grain production or only one bug if the field is used for seed production in Brazil [41] while, in the USA, the ET is three bugs larger than 0.6 cm per row meter if a beat cloth is used as the sampling method or ten bugs per 25 sweeps [53].
In general, ETs are well-established for the most important pests of soybean (Table 2) despite remaining challenges. Some occasional or sporadic soybean pests such as mites, thrips and whiteflies require more research for a precise establishment of ETs [41]. For instance, [59], studying different ETs for whitefly control in soybean, recorded that yield was just reduced when whitefly outbreaks were extensive enough to trigger the growing of sooty mood, Capnodium, on the leaves. However, the growth of sooty mood on whitefly-infested soybean differs depends not only on pest infestation but also on soybean cultivars [51], making it difficult to establish a number of insects per foliar area as an ET.
Despite these challenges, [52] proposed an ET for whitefly on soybean of 1.5 insect per leaflet. This is a very conservative ET, which is for instance, 7 times lower than the ET of whitefly on cotton [60]. In fact, the yield results by [52] of 18.73 g.plant-1, from treatment receiving seven insecticide sprays and resulting in 0.35 whiteflies per trifoliate (0.1 whitefly per leaflet), were statistically equal to results from the control (without any insecticide spray) with 27.35 whiteflies per trifoliate (9.1 whitefly per leaflet). These results contradict realistic ET and principles of IPM [43,61]. Moreover, the size of a soybean leaflet can vary considerably depending on plant's developmental stages, cultivar, and environmental conditions [62] reinforcing the need for further studies with whiteflies to determine ET.
Similarly, ETs for mites also remain understudied [13]. An ET of approximately 21 individuals per soybean leaflet of Tetranychus cucurbitacearum (Sayed) was proposed by [57]. However, as noted above, the size of a soybean leaflet varies [62]. Later, an economic injury level (EIL) for Tetranychus urticae in soybean based on population density was determined as one T. urticae per cm2 of leaf area, considering the control cost of US$20.00 ha-1 and the soybean crop value of US$350.00 Mg-1 [63]. Nevertheless, the ET, which is the direct tool used by farmers to take decisions, is still unclear.
Thrips are common in soybean despite rarely causing direct economic damage, although dry and hot weather can lead to high populations. The Economic Injury Level (EIL) for thrips in soybean was estimated between 4.53 to 3.43 thrips per plastic beating tray (40 × 25 × 3 cm) placed beneath the plant’s apex while the branch bearing the apical foliage is struck sharply [64] but no ET has not been proposed.
Despite previously reported differences in recommendations and the remaining challenges posed by more sporadically occurring pest species, the principle behind ETs is to avoid preventive insecticide applications, which yield economic and ecological benefits [10]. Globally, threshold-based programs reduced overall insecticide applications by 44% and associated costs by 40%, without compromising pest control or yield compared to calendar-based programs [65], making them economically advantageous for farmers and ecologically beneficial to the environment. Nevertheless, farmers and pest managers often question these thresholds and apply insecticides when pest densities are well below recommended ETs [13,54].
Among the range of reasons for such slow adoption of ETs, two crucial challenges stand out: 1) Farmers usually fear facing significant yield loss without spraying insecticides, consequently resulting in the refusal to fully adopt ETs, and especially 2) the amount of work required for pest monitoring [13]. Assessing soybean pest numbers or their injuries is required for ET use but is frequently perceived as too time-consuming [13,54]. The shortage of farm labor is a reality for soybean farmers due to urbanization and the migration of people from rural to urban centers [66]. Furthermore, the lack of workers, inadequate training and capacity-building for IPM practitioners, and insufficient attention to IPM adoption are challenges for ET adoption [67]. After training, soybean farmers´ adoption of ET has increased, and, consequently, pesticide use decreased [68].

4. Use of Bt Cultivars in Soybean-IPM

In Brazil, the Soybean-IPM heavily utilizes prevention strategies [9]. Before sowing the soybean field, the choice for resistant cultivars plays and important role in the success of IPM [69] as an economical, ecological, and environment-safe decision [70]. Resistant plants suffer less damage from pests compared with susceptible counterparts, consequently, eliminating or at least reducing the need of insecticides to keep pests’ populations below thresholds [71]. Genetically modified (GM) plants, resistant to insects, represent a more recent insect pest control method for IPM programs in various agroecosystems [72].
Since it is first commercial release in 1995, crops that have bee genetically transformed with the addition of Cry proteins from Bacillus thuringiensis (Bt) have increasingly been part of the agricultural landscape and an important tool in IPM. GM plants have been widely adopted by at least 26 different countries spread worldwide [73]. As in other crops, soybean-IPM has been transformed by the introduction of the Bt soybean technology expressing Cry1Ac (event MON 87701) protein (Bt) at high levels due to their high efficacy and simplicity of adoption [74]. Initially (2013) growers adopted the first generation of technology (expressing only Cry1Ac) and later (2021) with the addition of the second generation (expressing Cry1Ac + Cry1A.105 + Cry2Ab2 for Intacta 2 Xtend and Cry1Ac + Cry1F for Conkesta) (Figure 4). The adoption of Bt soybean has been especially high in South America, particularly in Brazil and Argentina, the first and third largest world soybean producers (Table 3). By the fifth year of Bt soybean adoption in South America, Bt soybean was cultivated over an area of 73.6 million hectares, generating an increase of US$ 7.64 billion in farmers’ income [76] and reducing pesticide use by approximately 10.44 million kg. This reduction in pesticide use and field operations contributed indirectly to lower greenhouse gas (GHG) emissions, primarily by decreasing energy demand associated with pesticide manufacturing, transport, and application. Estimates indicate that this mitigation effect is equivalent to removing approximately 3.3 million cars from the roads in terms of CO₂-equivalent emissions [76,78].
Interestingly, the reduction of insecticide applications in soybean fields has occurred both with and without adoption of IPM with the use of ETs (Figure 4A). Uniquely the adoption of Bt soybean (at farms not adopting IPM) reduced insecticide applications by 48.4% (2015/16 crop season) but only 14.7% (2022/23 crop season) more recently. When Bt soybean was adopted as a pest management strategy within the IPM framework, especially associated with pest sampling and insecticide application only when the pest population reaches or surpasses ET, insecticide use was reduced even further. Interestingly insecticide reductions follow a different trend for adopters with reductions of 57.8% (2015/16 crop season) increasing to 78.3% (2021/22 crop season) (Figure 4A). Taking areas cultivated with non-Bt cultivars and without IPM adoption as the reference, an average reduction of 33.3% in insecticide applications was observed in areas cultivated with Bt cultivars, even in the absence of IPM adoption. This reduction reflects the direct effect of Bt technology on lepidopteran pest control. In contrast, insecticide use was further reduced by 47.8% in areas where Bt cultivars and IPM strategies were adopted simultaneously, highlighting the additive effect of Bt technology combined with monitoring and economic threshold-based decision-making (Figure 4B). The reduction of insecticides associated with Bt crops has been previously reported in the literature in other crop systems. In the USA, insecticide applied in maize, Zea mays, fields decreased 75% with the adoption of Bt varieties, falling from 0.2 kg/ha in 1998 to about 0.05 kg/ha in 2011, when the adoption of Bt varieties exceeded 80% of the maize cultivated in the country [79]. This lower use of insecticide benefitted the conservation of natural biological control agents in different agroecosystems [73], including cotton, corn, potato, rice, and eggplant [80] as well as soybean [74]. Because Bt has negligible effects on non-target organisms [81], it is regarded as a safer choice than chemical insecticides [82] to manage target pests.
Despite the recorded benefits of Bt soybean over insecticides, some negative effects from the non-compliance of refuge as Insect Resistance Management (IRM) have been recorded [74]. Resurgence of target pests associated with the resistant populations to the Bt toxins has been reported [83,84], including for Rachiplusia nu [85] and Crocidosema sp. [86] in Brazilian soybean fields.
Outbreaks of secondary pests in soybean have also been associated with the adoption of Bt cultivars [87]. With the reduction of the insecticide load used in the crop, Spodoptera spp., which has known resistance to Bt were previously controlled by other insecticides applied for other lepidopterans, have survived and have been reported attacking soybean leaves and plant reproductive structures, potentially reducing yield [88]. Despite these negative effects, also reported for conventional insecticides [13], the potential conservation of the biocontrol diversity in the soybean agroecosystem can still be valuable. Conservation biological control strategies have been reported in soybean, not only in Brazil [74], but also in Argentina [89], and Uruguay [90], which is certainly helpful to mitigate pest outbreaks in soybean fields [10].
Importantly, the reduction of conventional insecticide use triggered by the adoption of Bt soybean does not cause measurable yield reduction (Figure 4C). In fact, Bt soybean fields had a higher yield on average compared with non-Bt fields (Figure 4D) likely as a result of better lepidopteran control. In addition, fields planted with Bt cultivars had lower pest control costs (Figure 4E and 4F). Pest control costs (transformed to their equivalent in value of kg soybean/ha in each crop season) were between 16.7% (2022/23 crop season) to 40.0% (2015/16 crop season) lower for Bt fields without IPM than non-Bt fields without IPM. The adoption of Bt soybean in the IPM framework reduced pest control costs even more from 56.4% (2019/20 crop season) to 76.2% (2021/22 crop season) compared to control fields (non-Bt without IPM) (Figure 4E). This is an average reduction of costs equates to 64 kg/ha (31.1%) (Bt soybean with IPM adoption) compared to the control (non-Bt without IPM fields) (Figure 4F). The combined impacts of the adoption of Bt cultivars on reducing production costs associated with higher yields (consequences of better pest control) are clearly resulting in significant increases of profits. A national survey carried out from 1998 to 2017 in Brazil, including both soybean Bt and herbicide resistance traits, found that the profits of farmers adopting GMO soybean had 26% higher profits than those with conventional cultivars [91].

5. Role of Biological Control in Soybean-IPM

The intensification of agriculture has been constantly required to ensure food security to an increasing global population [92]. However, this intensification also provides a greater amount of food to pests, favoring their outbreaks [93]. This sequence of events demands more crop protection options because the pressure to decrease insecticides has also been increasing [18]. These apparently conflicting demands (intensification of food production versus reduction of insecticide use) increase the importance of new safer alternatives such as biological control [94] especially for soybean, as one of the most important commodities for food production [1]. Soybean is responsible for the main source of protein for many human populations [95], with high nutritional qualities [96]. Consequently, the global Augmentative Biological Control market has been increasing, and it is expected to surpass US$ 10 billion in 2027 [97].
Biopesticides are increasingly recognized for their effectiveness in controlling pests [98,99] These biocontrol agents play an essential role in IPM [10] and can be applied either alone or in combination with synthetic selective pesticides [100]. This approach not only enhances control efficacy but also reduces environmental risks and the exposure of farmers and consumers to synthetic pesticides [97]. Moreover, biopesticides help manage not only pests but also their resistance, as biopesticides allow the rotation and diversification of control tactics with distinct modes of action, reducing selection pressure associated with repeated use of the same chemical groups [101], which is a major problem for soybean production [14,102].
In addition to Augmentative Biological Control, Conservation Biological Control is important for the success of Soybean-IPM, because natural biological control has a frequently underestimated potential that helps to maintain soybean pests below ETs [100]. For instance, common hemipteran predators found in soybean, such as Geocoris and Nabis, have predation capacity of consuming nine and 21 Lepidoptera eggs per day [103]. The soybean agroecosystem is rich not only in hemipterans predators but also coleopterans [104] and a great number of other biocontrol agents including parasitoids [105] and entomopathogens [106].
Larvae of Callida spp. can consume around 65.6 velvetbean caterpillars, Anticarsia gemmatalis (Hübner) to reach the adult stage [107], while the egg parasitoid Telenomus podisi can parasitize around 100 eggs of the stink bugs Euschistus heros (Fabricius) [108] and Diceraeus melacanthus Dallas (Hemiptera: Pentatomidae) [109] during its lifespan. A recent study from China demonstrated that Trichogramma leucaniae reared on eggs of the Eri silkworm Samia ricini Willian Jones can parasitize 27-48 eggs of the soybean pod borer Leguminivora glycinivorella (Matsumura), a critical pest for local soybean fields, in a 24-hour period [110].
The potential of conserving those biocontrol agents in the soybean agroecosystem was illustrated by [111] who recorded the mortality of Helicoverpa armigera (Hübner) (Lepidoptera: Noctuidae). When the pest was first reported in Brazil in the 2013/14 crop season there was 70.2% of natural mortality [10]. Not only is natural control of pests important, but several other examples of the benefits of adopting biological control are reported in scientific literature, including the reduction of chemical pesticide residues, preservation of the environment, and farmers' and consumers’ health, in addition to other social and economic benefits [112]. In modern agriculture, biological control is crucial to the success of IPM, and IPM is essential for providing a more stable and favorable environment that enables biocontrol agents to express their full potential in pest control.

6. Opportunities for Increasing the Adoption of Soybean-IPM

As previously discussed in this review, despite successful examples of Soybean-IPM, and numerous benefits from its adoption, there are still barriers to increasing its acceptance and further adotpion. Key barriers include inadequate training and a lack of technical support for farmers; shortages of IPM specialists and extension agents; and, especially, the fact that IPM often struggles to manage multiple pest species, the most common situation faced by soybean farmers [13]. In order to increase Soybean-IPM adoption, strategies must address the whole soybean pest complex occurring in each region, and ideally offer simple, effective solutions that are common with insecticide sprays [113].
Pushed by the increasing public demand and campaigns for reduced chemical uses in agriculture, there are new pressures for increasing adoption of Soybean-IPM. While earlier IPM models were restricted to ecological and economic aspects based on chemical control, newer IPM models include management, business, and sustainability, emphasizing the importance of research and outreach as well as various social factors that influence the market of IPM products [20]. Moreover, the governmental banning of several harmful traditional chemical insecticides and the advent of more selective options further increases the potential for integrating chemical and biological control [114]. Finally, the new agenda of reducing carbon emissions from agriculture has more recently been intensified [115]. Agriculture’s significant greenhouse gas (GHG) emissions, including non-carbon gases, require immediate action to meet emission reduction goals and address global climate change [116]. Federal actions along with broader societal efforts focus on mitigating non-CO2 emissions like methane and scaling up CO2 removal initiatives [117]. This new global arena has encouraged the adoption and renewed interest in Soybean-IPM principles, giving the technology its momentum.
The reduction of insecticide use resulted from Soybean-IPM adoption is directly linked with a proportional reduction of diesel used to apply such chemicals, as well as a reduction of CO2 emission related to the mitigation of this operation for pest control in the field. For instance, IPM adoption in Brazil in the 2021/22 crop season reduced the emission on 6,025.82 kg CO2 eq. for each 100 hectares of adoption [10]. Similar benefits have been reported for the adoption of GMO soybeans in Brazil, saving 79.2 million liters of diesel from 1998 to 2017. This amount of fuel is enough to power around 53,000 cars for one year [110].
Certification protocols of the Low Carbon Soybean Program (LCSP) initiative can also work as financial incentives to soybean farmers without depending on the federal government. This program aims to add value to soybean by certifying its sustainability, with the LCSP anticipating a reduction of approximately 30% in emissions per ton of soybean through methods like no-till farming and inoculants to reduce nitrogen fertilizer use [118]. Thus, soybean-IPM certainly fits in the scope of this initiative.
Increased federal actions provide an opportunity to favor the adoption of Soybean-IPM, including the offering of financial incentives to practitioners of the technology. For instance, in Brazil, federal government programs offer credit lines with subsidized interest rates and special conditions for other sustainable practices in agriculture, including the use of technologies that promote nutrient efficiency, such as inoculation. These subsidized credit lines have made inoculation practices more financially attractive, increasing adoption to 85% of the soybean cultivated area in the 2022/2023 season, using around 8.4 billion liters or kilograms of inoculants [119]. Similar support to Soybean-IPM would certainly increase its adoption.

7. Final Considerations and Future Perspectives of Soybean-IPM

There is increased interest in cultivating soybeans in a productive and ecologically sound manner that yields healthy food while protecting environmental integrity for future generations. Not all technologies that increase productivity are free of negative impacts on long-term sustainability. For these reasons, there is a need to develop approaches that are stable, resilient, and sustainable as well as productive and profitable for the farmers. Resistance to insecticides, herbicides, and other pesticides has led to higher application rates, greater crop losses, and increased production costs for soybean farmers. The increasing use of pesticides is closely linked to elevated health risks for farmers, farm workers, rural populations, and final consumers. Pesticides have adverse effects on soil health, water quality, and wildlife habitats and should be used only when strictly necessary. The non-market costs of their adverse impacts are only estimable, yet globally, they impose a significant burden.
Various pest control strategies, such as biotechnology, biological control, and insecticides, among others, have been recognized as important breakthroughs in food production. Nevertheless, they must be used within IPM to achieve long-term efficacy. In this context, biological control, the rational use of more selective insecticides, the adoption of ETs for control decisions, and the cultivation of Bt soybean have been key elements of the success of Soybean-IPM. The IPM concept integrates a wide array of alternative approaches, including microbial biopesticides (bacteria, fungi, viruses, nematodes), botanical pesticides (essential oils, plant extracts), and genetic pest management methods such as the sterile insect technique (SIT), genome–editing tools (e.g., CRISPR-Cas9, RNAi), and marker-assisted selection (MAS) as well as any other sustainable alternative focused on the multiple pest species scenario usually faced by farmers. Proposing simple, efficient, straightforward combined solutions will make the technology more acceptable to farmers.
Future trends of Soybean-IPM include 1) maximizing the efficacy of biocontrol agents; 2) development and use of genetic tools, such as DNA and CRISPR-Cas9 technologies; 3) improvement of plant resistance, including the development of newer GMOs and genetically edited cultivars; 4) nanoformulations and encapsulations for microbiological and botanical insecticides, including water–oil emulsion encapsulation for Bacillus thuringiensis to improve its stability, nano-formulations of Bacillus lipopeptides (Lps), and CRISPR-based technologies for managing pests. Mobile applications, in particular, have become vital to the dissemination of IPM. Apps that use artificial intelligence (AI) to identify pest problems and recommend suitable interventions will help increase IPM efficacy and the adoption of Soybean-IPM.

8. Conclusions

Pests should not be exterminated; instead, they should be kept below EILs. In a more balanced agricultural system, no pest control method should achieve 100% pest mortality, as most farmers generally desire. On the contrary, 100% control of a given pest is undesirable as it can lead to a decline of the biological control BC species due to the unavailability of prey or host. Thus, we are now experiencing a critical, broader shift in farmers' behavior, which may be among the most significant challenges to be overcome to achieve greater adoption of Soybean-IPM. GMO soybean, such as Bt cultivars, has been an essential technology for the success of Soybean-IPM, combining better conservation of natural biological control with increased farmers' profits. Nevertheless, resistance must be managed effectively to avoid issues that could permanently impair the technology's lifespan. In addition to biological control, Soybean-IPM is currently experiencing a positive phase. Still, greater efforts should be directed to outreach, practitioner incentives, and technology research to avoid losing the favorable momentum for IPM implementation and success.

Author Contributions

Conceptualization, writing—original draft preparation and final review and editing A.F.B.; writing—review and editing, W.W.H., Y.C.C., I.C., W.P.S., L.S.Z., R.J.H. All authors have read and agreed to the published version of the manuscript.

Funding

The authors thank the National Council for Scientific and Technological Development (CNPq) (project number 304052/2021-3) for scholarships provided to the first author.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Hamza, M.; Basit, A.W.; Shehzadi, I.; Tufail, U.; Hassan, A.; Hussain, T.; Siddique, M.U.; Hayat, H.M. Global impact of soybean production: A review. Asian Journal of Biochemistry, Genetics and Molecular Biology 2024, 16, 12–20. [CrossRef]
  2. Mondal, S.; Anokhe, A.; Duraimurugan, P. A brief overview of pest complex in soybean [Glycine max (L.) Merill] and their management. Journal of Oilseeds Research 2023, 40, 105–116. [CrossRef]
  3. SoyStats. A reference guide to important soybean facts & figures. The American Soybean Association, 2025. Available at: https://soystats.com/2024-soystats/ Accessed November 1, 2025.
  4. Jiang, Y.; Zhong, S.; Li, Q. The research progress and frontier studies on soybean production technology: Genetic breeding, pest and disease control, and precision agriculture applications. Adv. Resour. Res. 2025, 5, 1065–1082. [CrossRef]
  5. Gaur, N.; Mogalapu, S. Pests of Soybean. In: Omkar (Ed.). Pests and Their Management. Springer, Singapore, 2018. [CrossRef]
  6. Abudulai, M.; Salifu, A.B.; Opare-Atakora, D.; Haruna, M.; Denwar, N.N.; Baba, I.I.Y. Yield loss at the different growth stages in soybean due to insect pests in Ghana. Arch. Phytopathol. Plant Prot. 2012, 45, 1796–1809. [CrossRef]
  7. Musser, F.R.; Bick, E.; Brown, S.A.; et al. 2023 Soybean Insect Losses in the United States. Midsouth Entomol. 2023, 17, 6–30. Available at: https://www.midsouthentomologist.org.msstate.edu/ Consulted at: 01/11/2025.
  8. Saldanha, A.V.; Horikoshi, R.; Dourado, P.; Lopez-Ovejero, R.F.; Berger, G.U.; Martinelli, S.; Head, G.P.; Moraes, T.; Corrêa, A.S.; Schwertner, C.F. The first extensive analysis of species composition and abundance of stink bugs (Hemiptera: Pentatomidae) on soybean crops in Brazil. Pest Manag. Sci. 2024, 80, 3945-3956. [CrossRef]
  9. Ullah, F.; Guru-Pirasanna-Pandi, G.; Murtaza, G.; et al. Evolving strategies in agroecosystem pest control: transitioning from chemical to green management. J. Pest Sci. 2025, 98, 2307–2324. [CrossRef]
  10. Bueno, A.F.; Colmenarez, Y.C.; Carnevalli, R.A.; Sutil, W.P. Benefits and perspectives of adopting soybean-IPM: the success of a Brazilian programme. Plant Health Cases 2023a, 1–16. [CrossRef]
  11. Gong, Y.; Li, T.; Hussain, A.; Xia, X.; Shang, Q.; Ali, A. The side effects of insecticides on insects and the adaptation mechanisms of insects to insecticides. Front. Physiol. 2023, 14, 1287219. [CrossRef]
  12. Mali, H.; Shah, C.; Raghunandan, B.H.; et al. Organophosphate pesticides: an emerging environmental contaminant: pollution, toxicity, bioremediation progress, and remaining challenges. J. Environ. Sci. 2023, 127, 234–250. [CrossRef]
  13. Bueno, A.F.; Panizzi, A.R.; Hunt, T.E.; Dourado, P.M.; Pitta, R.M.; Gonçalves, J. Challenges for adoption of integrated pest management (IPM): the soybean example. Neotrop. Entomol. 2021, 50, 5–20. [CrossRef]
  14. Sosa-Gómez, D.R.; Corrêa-Ferreira, B.S.; Kraemer, B.; et al. Prevalence, damage, management and insecticide resistance of stink bug populations (Hemiptera: Pentatomidae) in commodity crops. Agric. Forest Entomol. 2020, 22, 99–118. [CrossRef]
  15. Santos, C.F.; Otesbelgue, A.; Blochtein, B. The dilemma of agricultural pollination in Brazil: Beekeeping growth and insecticide use. Plos One, 2018, 13, e0200286. [CrossRef]
  16. Lisi, F.; Siscaro, G.; Biondi, A.; Zappalà, L.; Ricupero, M. Non-target effects of bioinsecticides on natural enemies of arthropod pests. Current Opinion in Environmental Sci. Health 2025, 45, 100624. [CrossRef]
  17. Zhou, W.; Li, M.; Achal, V. A comprehensive review on environmental and human health impacts of chemical pesticide usage. Emerging Contaminants 2025, 11, 100410. [CrossRef]
  18. Jacquet, F.; Jeuffroy, M.H.; Jouan, J.; et al. Pesticide-free agriculture as a new paradigm for research. Agron. Sustain. Dev. 2022, 42. [CrossRef]
  19. Lee, R.; den Uyl, R.; Runhaar, H. Assessment of policy instruments for pesticide use reduction in Europe: Learning from a systematic literature review. Crop Protec. 2019, 126, 104929. [CrossRef]
  20. Dara, S.K.; Rodriguez-Saona, C.; Morrison III, W.R. Editorial: Integrated pest management strategies for sustainable food production. Front. Sustain. Food Syst. 2023, 7, 1224604. [CrossRef]
  21. Dara, S.K. The new integrated pest management paradigm for the modern age. J. Int. Pest Manag. 2019, 10, 1–9. [CrossRef]
  22. Damalas, C.A. Safe food production with minimum and judicious use of pesticides. In: Selamat, J.; Iqbal, S. (Eds.). Food Safety. Springer, Cham, 2016, pp. 43–55. [CrossRef]
  23. Santos, J.L.; Peluzio, J.M.; Picanço, M.C.; Sarmento, R.A. Integrated pest management of soybean emerging pests in Brazil and United States: a review. Concilium 2024, 24, 0010-5236.
  24. Carnevalli, R.A.; Oliveira, A.B.; Gomes, E.C.; Possamai, E.J., Silva, G.C.; Reis, E.A.; Roggia, S.; Prando, A.M.; Lima, D. Resultados do manejo integrado de pragas da soja na safra 2021/2022 no Paraná. Embrapa Soja, Londrina, Documentos 448 2022, 1-43.
  25. Carnevalli, R.A.; Prando, A.M.; Lima, D.; Borges, R.S.; Possamai, E.J.; Silva, G.C.; Reis, E.A.; Gomes, E.C.; Silva, G.C.; Roggia, S. Resultados do manejo integrado de pragas da soja na safra 2022/2023 no Paraná. Embrapa Soja, Londrina, Documentos 455 2023, 1-44.
  26. Carnevalli, R.A.; Prando, A.M.; Lima, D.; Borges, R.S.; Possamai, E.J.; Reis, E.A.; Gomes, E.C.; Roggia, S. Resultados do manejo integrado de pragas da soja na safra 2023/2024 no Paraná. Embrapa Soja, Londrina, Documentos 467 2024, 1-51.
  27. Panizzi, A.R. History and contemporary perspectives of the integrated pest management of soybean in Brazil. Neotrop. Entomol. 2013, 42, 119–127. [CrossRef]
  28. Conte, O.; Oliveira, F.T.; Harger, N.; Corrêa-Ferreira, B.S. Resultados do Manejo Integrado de Pragas da Soja na safra 2013/14 no Paraná. Londrina, EMBRAPA-CNPSo, Documentos 356 2014, 1-53.
  29. Conte, O.; Oliveira, F.T.; Harger, N.; Corrêa-Ferreira, B.S.; Roggia, S. Resultados do Manejo Integrado de Pragas da Soja na safra 2014/15 no Paraná. Londrina, EMBRAPA-CNPSo, Documentos 361 2015, 1-60.
  30. Conte, O.; Oliveira, F.T.; Harger, N.; Corrêa-Ferreira, B.S.; Roggia, S.; Prando, A.M.; Seratto, C.D. Resultados do Manejo Integrado de Pragas da Soja na safra 2015/16 no Paraná. Londrina, EMBRAPA-CNPSo, Documentos 375 2016, 1-59.
  31. Conte, O.; Oliveira, F.T.; Harger, N.; Corrêa-Ferreira, B.S.; Roggia, S.; Prando, A.M.; Seratto, C.D. Resultados do Manejo Integrado de Pragas da Soja na safra 2016/17 no Paraná. Londrina, EMBRAPA-CNPSo, Documentos 394 2017, 1-70.
  32. Conte, O.; Oliveira, F.T.; Harger, N.; Corrêa-Ferreira, B.S.; Roggia, S.; Prando, A.M.; Seratto, C.D. Resultados do Manejo Integrado de Pragas da Soja na safra 2017/18 no Paraná. Londrina, EMBRAPA-CNPSo, Documentos 402 2018, 1-66.
  33. Conte, O.; Oliveira, F.T.; Harger, N.; Corrêa-Ferreira, B.S.; Roggia, S.; Prando, A.M.; Possmai, E.J.; Reis, E.A.; Marx, E.F. Resultados do Manejo Integrado de Pragas da Soja na safra 2018/19 no Paraná. Embrapa Soja, Londrina, Documentos 416 2019, 1-63.
  34. Conte, O.; Possamai, E.J.; Silva, G.C.; Reis, E.A.; Gomes, E.C.; Corrêa-Ferreira, B.S.; Roggia, S.; Prando, A.M. Resultados do Manejo Integrado de Pragas da Soja na safra 2019/20 no Paraná. Embrapa Soja, Londrina, Documentos 431 2020, 1-66.
  35. Oliveira, A.B.; Gomes, E.C.; Possamai, E.J.; Silva, G.C.; Reis, E.A.; Roggia, S.; Prando, A.M.; Conte, O. Resultados do manejo integrado de pragas da soja na safra 2020/2021 no Paraná. Embrapa Soja, Londrina, Documentos 443 2022, 1-68.
  36. Norton, G.W.; Moore, K.; Quishpe, D.; et al. Evaluating Socio-Economic Impacts of IPM. In: Norton, G.W.; Heinrichs, E.A.; Luther, G.C.; Irwin, M.E. (Eds.). Globalizing Integrated Pest Management: A Participatory Research Process 2005, 223–244. [CrossRef]
  37. Song, F.; Swinton, S.M. Returns to Integrated Pest Management Research and Outreach for Soybean Aphid. Journal of Economic Entomology 2009, 102, 2116–2125. [CrossRef]
  38. Ávila, C.J.; Vessoni, I.C.; Silva, I.F.; Vieira, E.C.S.; Mariani, A.; Moreira, S.C.S. IPM in soybeans: how to reduce crop damage and increase profit for the farmer. Ver. Agric. Neotrop. 2024, 11, e8214. [CrossRef]
  39. Vinayagam, S.S.; Dupare, B.U. Monetary benefits of integrated pest management in soybean [Glycine max (L) Merrill] cultivation. Soybean Research 2019, 17, 89–94. Available at: https://www.researchgate.net/profile/SsenthilVinayagam/publication/370872196_Monetary_Benefits_of_Integrated_Pest_Management_in_Soyabean_Glycine_max_L_Merill_Cultivation/links/646727d5c9802f2f72e81724/Monetary-Benefits-of-Integrated-Pest-Management-in-Soyabean-Glycine-max-L-Merill-Cultivation.pdf.
  40. Mariyono, J. The impact of integrated pest management technology on insecticide use in soybean farming in Java, Indonesia: Two models of demand for insecticides. Asian Journal of Agriculture and Development 2008, 5. Available at: https://ageconsearch.umn.edu/record/198979/.
  41. Bueno, A.F.; Paula-Moraes, S.V.; Gazzoni, D.L.; Pomari, A.F. Economic thresholds in soybean integrated pest management: old concepts, current adoption, and adequacy. Neotrop. Entomol. 2013, 42, 439–447. [CrossRef]
  42. Rossi, V.; Sperandio, G.; Caffi, T.; Simonetto, A.; Gilioli, G. Critical success factors for the adoption of decision tools in IPM. Agronomy 2019, 9, 710. [CrossRef]
  43. Higley, L.G.; Peterson, R.K.D. The biological basis of the EIL. In: Higley, L.G.; Pedigo, L.P. (Eds.). Economic threshold for integrated pest management. University of Nebraska Press, Lincoln and London, 1996, 327 p.
  44. Batistela, M.J.; Bueno, A.F.; Nishikawa, M.A.N.; Bueno, R.C.O.F.; Hidalgo, G.; Silva, L.; Corbo, E.; Silva, R.B. Re-evaluation of leaf-lamina consumer thresholds for IPM decision in short-season soybeans using artificial defoliation. Crop Protec. 2012, 32, 7-11. [CrossRef]
  45. Bueno, A.F.; Bortolotto, O.C.; Pomari-Fernandes, A.; França-Neto, J.B. Assessment of a more conservative stink bug economic threshold for managing stink bugs in Brazilian soybean. Crop Protec. 2015, 71, 132-137, http://dx.doi.org/10.1016/j.cropro.2015.02.012.
  46. Justus, C.M.; Paula-Moraes, S.V.; Pasini, A.; Hoback, W.W.; Hayashida, R.; Bueno, A.F. Simulated soybean pod and flower injuries and economic thresholds for Spodoptera eridania (Lepidoptera: Noctuidae) management decisions. Crop Protect. 2022, 155, 105936. [CrossRef]
  47. Hayashida, R.; Hoback, W.W.; Dourado, P.M.; Bueno, A.F. Re-evaluation of the economic threshold for Crocidosema aporema injury to indeterminate Bt soybean cultivars. Agronomy Journal 2023, 1–9. [CrossRef]
  48. Pedigo, L.P.; Rice, M.E. Entomology and pest management, 6th ed. Prentice Hall, Upper Saddle River, New Jersey, 2009, xxvii + 749 p.
  49. Pedigo, L.P.; Rice, M.E.; Krell, R.K. Entomology and pest management. Waveland Press, 2021.
  50. Ragsdale, D.W.; Mccornack, B.P.; Venette, R.C.; Potter, B.D.; V. Macrae, V.; Hodgson, E.W.; O’neal, M.E.; Johnson, K.D.; O’neil, R.J.; Difonzo, C.D.; Hunt, T.E.; Glogoza, P.A.; Cullen, E.M. Economic threshold for soybean aphid (Hemiptera: Aphididae). J. Econ. Entomol. 2007, 100: 1258Ð1267. [CrossRef]
  51. Vieira, S.S.; Lourenção, A.L.; da Graça, J.P.; Janegitz, T.; Salvador, M.C.; Oliveira, M.C.N.; Hoffmann-Campo, C.B. Biological aspects of Bemisia tabaci biotype B and the chemical causes of resistance in soybean genotypes. Arthropod-Plant Interac. 2016, 10, 525–534. [CrossRef]
  52. Padilha, G.; Pozebon, H.; Patias, L.S.; Ferreira, D.R.; Castilhos, L.B.; Forgiarini, S.E.; Donatti, A.; Bevilaqua, J.G.; Marques, R.P.; Moro, D.; Rohrig, A.; Bones, S.A.S.; Cargnelutti Filho, A.; Pes, L.Z.; Arnemann, J.A. Damage assessment of Bemisia tabaci and economic injury level on soybean. Crop Protec. 2021, 143, 105542. [CrossRef]
  53. Andrews, G.; Daves, C.; Koger, T.; et al. Insect control guides for cotton, soybeans, corn, grain sorghum, wheat, sweet potatoes & pastures. Mississippi State University Extension Service, {S.l.}, 2009, 64 p.
  54. Seiter, N.J.; Decker, A.L.; Kelley J Tilmon, K.J.; McCornack, B.; Krupke, C.; DiFonzo, C.; Knodel, J. Soybean defoliation estimation methods and thresholds in the North Central United States. J. Econ. Entomol. 2025, toaf288, . [CrossRef]
  55. Adams, B.P.; Cook, D.R.; Catchot, A.L.; Gore, J.; Musser, F.; Stewart, S.D.; Kerns, D.L.; Lorenz, G.M.; Irby, J.T.; Golden, B. Evaluation of corn earworm, Helicoverpa zea (Lepidoptera: Noctuidae), economic injury levels in Mid-South reproductive stage soybean. J. Econ. Entomol. 2016, 109, 1161–1166. [CrossRef]
  56. Bueno, R.C.O.F.; Bueno, A.F.; Moscardi, F.; Parra, J.R.P.; Hoffmann-Campo, C.B. Lepidopteran larvae consumption of soybean foliage: basis for developing multiple-species economic thresholds for pest management decisions. Pest Manag. Sci. 2011, 67, 170-174. [CrossRef]
  57. Kalmosh, F.S. Economic threshold and economic injury levels for the two spotted spider mite Tetranychus cucurbitacearum (Sayed) on soybean. Annals of Agric. Sci. Moshtohor 2016, 54. Available at: http://annagricmoshj.com Accessed November 14, 2025.
  58. Hall, D.C. The regional economic threshold for integrated pest management. Nat. Resour. Model. 1988, 2, 631–652.
  59. Vieira, S.S.; Bueno, R.C.O.F.; Bueno, A.F.; Boff, M.I.C.; Gobbi, A.L. Different timing of whitefly control and soybean yield. Ciência Rural 2013, 43, 247-253. [CrossRef]
  60. Naranjo, S.E.; Ellsworth, P.C.; Chu, C.C.; Henneberry, T.J.; Riley, D.G.; Watson, T.F.; Nichols, R.L. Action Thresholds for the Management of Bemisia tabaci (Homoptera: Aleyrodidae) in Cotton. J. Econo. Entomol. 1998, 91, 1415-1426. [CrossRef]
  61. Onstad, D.W.; Bueno, A.F.; Favetti, B.M. Economic Thresholds and sampling in Integrated Pest Management. In: The economics of Integrated Pest Management of insects, ed. 1. CABI, Wallingford, Oxfordshire, UK, 2019, v. 1, pp. 122–139. [CrossRef]
  62. Krisnawati, A.; Adie, M.M. The leaflet shape variation from several soybean genotypes in Indonesia. Biodiversitas 2017, 18, 359–364. [CrossRef]
  63. Padilha, G.; Fiorin, R.A.; Filho, A.C.; et al. Damage assessment and economic injury level of the two-spotted spider mite Tetranychus urticae in soybean. Pesq. Agropec. Brasileira 2020, 55, e01836. [CrossRef]
  64. Neves, D.V.C.; Lopes, M.C.; Sarmento, R.A.; Pereira, P.S.; Pires, W.S.; Peluzio, J.M.; Picanço, M.C. Economic injury levels for control decision-making of thrips in soybean crops (Glycine max (L.) Merrill). Res., Soc. Dev. 2022, 11, e52411932114. http://dx.doi.org/10.33448/rsd-v11i9.32114.
  65. Leach, A.; Gomez, A.A.; Kaplan, I. Threshold-based management reduces insecticide use by 44% without compromising pest control or crop yield. Commun. Earth Environ. 2025, 6, 710. [CrossRef]
  66. Duncan, H.; Popp, I. Migrants and Cities: Stepping Beyond World Migration Report 2015. In: World Migration Report 2018. IOM, Geneva. https://publications.iom.int/system/files/pdf/wmr_2018_en_chapter10.pdf.
  67. Hoidal, N.; Koch, R.L. Perception and use of Economic Thresholds among farmers and agricultural professionals: A case study on soybean aphid in Minnesota. J. Integr. Pest Manag. 2021, 12, 9, 1–7. [CrossRef]
  68. Mariyono, J. The impact of IPM training on farmers’ subjective estimates of economic thresholds for soybean pests in central Java, Indonesia. International J. Pest Manag. 2007, 53, 83–87. [CrossRef]
  69. Kumari, P.; Jasrotia, P.; Kumar, D.; et al. Biotechnological approaches for host plant resistance to insect pests. Front. in Genetics 2022, 13, 914029. [CrossRef]
  70. Warghat, A.N.; Kumar, A.; Raghuvanshi, H.R.; Aman, A.S.; Kumar, A. Recent advancements in plant protection. In: Kumar, N.; Purushotham, P.; Kumar, A.; Sahu, A.; Nandeesha, S.V. (Eds.). Recent advances in plant protection. Golden Leaf Publishers, Uttar Pradesh, 2023, pp. 1–25.
  71. Baldin, E.L.L.; Vendramim, J.D.; Lourenção, A.L. Introdução a resistência de plantas a insetos: fundamentos e aplicações. In: Resistência de Plantas a Insetos: Fundamentos e Aplicações. FEALQ, Piracicaba, 2019, pp. 1–493.
  72. Martins-Salles, S.; Machado, V.; Massochin-Pinto, L.; Fiuza, L.M. Genetically modified soybean expressing insecticidal protein (Cry1Ac): Management risk and perspectives. Facets 2017, 2, 496–512. [CrossRef]
  73. Naranjo, S.E. Effects of GE Crops on Non-target Organisms. In: Ricroch, A.; Chopra, S.; Kuntz, M. (Eds.). Plant Biotechnology. Springer, Cham, 2021, pp. 127–144. [CrossRef]
  74. Bueno, A.F.; Braz-Zini, E.C.; Horikoshi R.J.; Bernardi, O.; Andrade, G.; Sutil, W.P. Over 10 years of Bt soybean in Brazil: lessons, benefits, and challenges for its use in Integrated Pest Management (IPM). Neotrop. Entomol. 2025, 54, 1-12. [CrossRef]
  75. ISAAA (International Service for the Acquisition of Agri-biotech Applications) (2018) Global Status of Commercialized Biotech/GM Crops: 2018. ISAAA Brief 54. Available at: https://www.isaaa.org/resources/publications/briefs/54/ (Accessed October 24, 2024).
  76. Brookes, G.; Barfoot, P. Environmental impacts of genetically modified (GM) crop use 1996–2016: impacts on pesticide use and carbon emissions. GM Crops & Food 2018, 9, 109–139. [CrossRef]
  77. Pellegrino, E.; Bedini, S.; Nuti, M.; Ercoli, L. Impact of genetically engineered maize on agronomic, environmental and toxicological traits: A meta-analysis of 21 years of field data. Scient. Reports 2018, 8, 3113. [CrossRef]
  78. Alves, L.R.A.; Filho, J.B.D.S.F.; Silveira, J.M.F.J.D.; Costa, M.S.D.; Osaki, M.; Lima, F.F.D.; Ribeiro, R.G. Genetically modified corn adoption in Brazil, costs and production strategy: Results from a four-year field survey. Revista de Economia e Agronegócio 2020, 18, 1–23. [CrossRef]
  79. Perry, E.D.; Ciliberto, F.; Hennessy, D.A.; Moschini, G. Genetically engineered crops and pesticide use in U.S. maize and soybeans. Sci. Advan. 2016, 2, e1600850. [CrossRef]
  80. Romeis, J.; Naranjo, S.E.; Meissle, M.; Shelton, A.M. The role of Bt crops in integrated pest management programs. Biocontrol 2019, 64, 611–617.
  81. Marques, L.H.; Santos, A.C.; Castro, B.A.; et al. Impact of transgenic soybean expressing Cry1Ac and Cry1F proteins on the non-target arthropod community associated with soybean in Brazil. Plos One 2018, 13, e0191567. [CrossRef]
  82. Rousset, R.; Gallet, A. Unintended effects of Bacillus thuringiensis spores and Cry toxins used as microbial insecticides on non-target organisms. Curr. Opin. Environ. Sci. Health 2025, 100598, 1–7. [CrossRef]
  83. Reisig, D.D.; Huseth, A.S.; Bacheler, J.S.; et al. Long-term empirical and observational evidence of practical Helicoverpa zea resistance to cotton with pyramided Bt toxins. J. Econ. Entomol. 2018, 111, 1824–1833. [CrossRef]
  84. Tabashnik, B.E.; Carrière, Y. Global patterns of resistance to Bt crops highlighting pink bollworm in the United States, China, and India. J. Econ. Entomol. 2019, 112, 2513–2523. [CrossRef]
  85. Horikoshi, R.J.; Bernardi, O.; Godoy, D.N.; et al. Resistance status of lepidopteran soybean pests following large-scale use of MON 87701 × MON 89788 soybean in Brazil. Scientific Reports 2021, 11, 21323. [CrossRef]
  86. Steinhaus, E.A.; Reis, A.C.; Palharini, R.B.; et al. Characterization of resistance to Bacillus thuringiensis toxin Cry1Ac in Crocidosema sp. (Lepidoptera: Tortricidae) from Brazil. Pest Manag. Sci. 2025, 81, 3066–3073. [CrossRef]
  87. Jerez, P.G.P.; Otero, J.; González, M. Ten years of Cry1Ac Bt soybean use in Argentina: Historical shifts in the community of target and non-target pest insects. Crop Protec. 2023, 170, 106265. [CrossRef]
  88. Murúa, M.G.; Vera, M.A.; Herrero, M.I.; Fogliata, S.V.; Michel, A. Defoliation of soybean expressing Cry1Ac by lepidopteran pests. Insects 2018, 9, 93. [CrossRef]
  89. Giraudo, W.G.; Figueruelo, A.M.; Trumper, E.V. Effects of Bt soybean on biodiversity are limited to target species and host-specific parasitoids in La Pampa province, Argentina. Rev. de invest. Agropec. 2024, 50, 112-129.
  90. Lorente, J.; Vassallo, M.; García Suárez, F. Economic and environmental impacts of stacked transgenic events on soybean and corn. Agrociencia Uruguay 2025, 29, e1323, 1–18. [CrossRef]
  91. CIB (Conselho de Informações sobre Biotecnologia). 20 anos de transgênicos: impactos ambientais, econômicos e sociais no Brasil. 2018, 20 p. Available at: https://agroavances.com/img/publicacion_documentos/153575459920-anos-de-transgenicos-no-brasil.pdf Accessed November 15, 2025.
  92. Denning, G. Sustainable intensification of agriculture: the foundation for universal food security. npj Sust. Agric. 2025, 3, 7. [CrossRef]
  93. Bernal, J.S.; Medina, R.F. Agriculture sows pests: how crop domestication, host shifts, and agricultural intensification can create insect pests from herbivores. Curr. Opin. Insect Sci. 2018, 26, 76–81. [CrossRef]
  94. Pretty, J. Intensification for redesigned and sustainable agricultural systems. Science 2018, 362, eaav0294. [CrossRef]
  95. Guo, B.; Sun, L.; Jiang, S.; et al. Soybean genetic resources contributing to sustainable protein production. Theor. Appl. Genet. 2022, 135, 4095–4121. [CrossRef]
  96. Dukariya, G.; Shah, S.; Singh, G.; Kumar, A. Soybean and Its Products: Nutritional and Health Benefits. J. Nut. Sci. Heal. Diet 2020, 1, 22–29. Available at: https://journalofnutrition.org Accessed November 15, 2025.
  97. Andreata, F.L.; Mian, S.; Andrade, G.; Bueno, A.F.; et al. The current increase and future perspectives of the microbial pesticides market in agriculture: the Brazilian example. Front. Microbiol. 2025, 16, 1574269. [CrossRef]
  98. Fenibo, E.O.; Ijoma, G.N.; Matambo, T. Biopesticides in Sustainable Agriculture: A Critical Sustainable Development Driver Governed by Green Chemistry Principles. Front. Sustain. Food Systems 2021, 5. [CrossRef]
  99. Marrone, P.G. Status of the biopesticide market and prospects for new bioherbicides. Pest Manag. Sci. 2024, 80, 81–86. [CrossRef]
  100. Bueno, A.F.; Sutil, W.P.; Jahnke, S.M.; et al. Biological control as part of the soybean integrated pest management (IPM): Potential and challenges. Agronomy 2023b, 13, 2532. [CrossRef]
  101. Sarangi, S.; Bhavana, P.; Padhan, E.K. Insecticide resistance and management strategies. In: Dash, S.S.; Pradhan, P.P.; Sahoo, S.; Nag, Y.K.; Sorahia, D. (Eds). Advan. Applied Entomol. 2025, 184-208. [CrossRef]
  102. Perini, C.R.; Tabuloc, C.A.; Chiu, J.C.; et al. Transcriptome analysis of pyrethroid-resistant Chrysodeixis includens (Lepidoptera: Noctuidae) reveals overexpression of metabolic detoxification genes. J. Econ. Entomol. 2021, 114, 274–283. [CrossRef]
  103. Corrêa-Ferreira, B.S.; Moscardi, F. Seasonal occurrence and host spectrum of egg parasitoids associated with soybean stink bugs. Bio. Control 1995, 5, 196–202. [CrossRef]
  104. Prescott, K.K.; Andow, D.A. Lady beetle (Coleoptera: Coccinellidae) communities in soybean and maize. Environ. Entomol. 2016, 45, 74–82. [CrossRef]
  105. Noma, T.; Brewer, M.J. Seasonal abundance of resident parasitoids and predatory flies and corresponding soybean aphid densities, with comments on classical biological control of soybean aphid in the Midwest. J. Econ. Entomol. 2008, 101, 278–287. [CrossRef]
  106. Sosa-Gómez, D.R.; Delpin, K.E.; Moscardi, F.; Farias, J.R. Natural occurrence of the entomopathogenic fungi Metarhizium, Beauveria and Paecilomyces in soybean under till and no-till cultivation systems. Neotrop. Entomol. 2001, 30, 407–410.
  107. Corrêa-Ferreira, B.S.; Pollato, S.L.B. Biology and consumption of predator Callida sp. (Coleoptera: Carabidae) reared on Anticarsia gemmatalis Hübner, 1818. Pesquisa Agropec. Brasileira 2014, 24, 923–927.
  108. Silva, G.V.; Bueno, A.F.; Neves, P.M.O.J.; Favetti, B.M. Biological characteristics and parasitism capacity of Telenomus podisi (Hymenoptera: Platygastridae) on eggs of Euschistus heros (Hemiptera: Pentatomidae). J. Agricult. Sci. 2018, 10, 210–220. [CrossRef]
  109. Taguti, E.A.; Goncalvez, J.; Bueno, A.F.; Marchioro, S.T. Telenomus podisi parasitism on Dichelops melacanthus and Podisus nigrispinus eggs at different temperatures. Flo. Entomol. 2019, 102, 607–613. [CrossRef]
  110. Xue, J.Z.; Tariq, T.; Shen, Z.; et al. Eri silkworm eggs as a superior factitious host for mass rearing Trichogramma leucaniae, the key natural enemy of soybean pod borer. Biological Control 2025, 105860.
  111. Corrêa-Ferreira, B.S.; Hoffmann-Campo, C.B.; Sosa-Gómez, D.R. Inimigos naturais de Helicoverpa armigera em soja. Comunicado Técnico Embrapa Soja 80. Londrina, 2014, 12 p. Available at: https://www.embrapa.br/busca-de-publicacoes/-/publicacao/992733/inimigos-naturais-de-helicoverpa-armigera-em-soja Accessed November 15, 2025.
  112. van Lenteren, J.C.; Bolckmans, K.; Köhl, J.; Ravensberg, W.J.; Urbaneja, A. Biological control using invertebrates and microorganisms: plenty of new opportunities. BioControl 2018, 63, 39–59. [CrossRef]
  113. Horne, P.A.; Page, J.; Nicholson, C. When will integrated pest management strategies be adopted? Example of the development and implementation of integrated pest management strategies in cropping systems in Victoria. Australian J. Experimen. Agric. 2008, 48, 1601–1607. [CrossRef]
  114. Gontijo, L.M.; Torres, J.B.; Abram, P.K.; et al. Insect biological control: a global perspective. Entomol. Generalis 2025, 45, 879–904. [CrossRef]
  115. Kuzmanović, D. Sustainable development in agriculture with a focus on decarbonization. West. Balk. J. Agric. Econom. 2023, 5, 163-177. [CrossRef]
  116. Khatri Chhetri, A.; Junior, C.; Wollenberg, E. Greenhouse gas mitigation co-benefits across the global agricultural development programs. Global Environ. Change 2022, 76, 102586. [CrossRef]
  117. USDE. Industrial Decarbonization Roadmap. Document no. DOE/EE-2635, United States Department of Energy, Washington, USA, 2022. Available at: www.energy.gov/sites/default/files/2022-09/Industrial%20Decarbonization%20Roadmap.pdf Accessed November 15, 2025.
  118. EMBRAPA. Brazil defines guidelines for certifying low-carbon soybean. 2024. Available at: https://www.brazilianfarmers.com/news/brazil-defines-guidelines-for-certifying-low-carbon-soybean/ Accessed November 15, 2025.
  119. ANPIIBIO (Associação Nacional de Promoção e Inovação da Indústria de Biológicos). Estatística 2024. Available at: https://anpiibio.org.br/estatisticas/ Accessed 15 November 2025.
Figure 1. Percentage of soybean farmers in Paraná State, Brazil, who know the IPM principles (grey bars) and the percentage who adopt IPM (black line) in their fields over the seasons. Adapted from [24,26].
Figure 1. Percentage of soybean farmers in Paraná State, Brazil, who know the IPM principles (grey bars) and the percentage who adopt IPM (black line) in their fields over the seasons. Adapted from [24,26].
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Figure 2. Soybean-IPM structure, sustained by the association of different pest management tools and based on diagnosis.
Figure 2. Soybean-IPM structure, sustained by the association of different pest management tools and based on diagnosis.
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Figure 3. Economic Injury Levels (EILs) in relation to the most important Economic Thresholds (ETs) for soybean pests recommended in Brazil. Adapted from [44,45,46,47].
Figure 3. Economic Injury Levels (EILs) in relation to the most important Economic Thresholds (ETs) for soybean pests recommended in Brazil. Adapted from [44,45,46,47].
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Figure 4. Results from the adoption of Bt soybean with and without the adoption of IPM in the State of Paraná, Brazil, over eight crop seasons from 2015/16 to 2022/23. (A) Insecticide spray per season and (B) Mean spray of insecticides among different pest management technologies. (C) Yield over the seasons and (D) Mean yield according to the adopted pest management technology. (E) Pest control costs over the seasons and (F) Mean pest control cost according to the adopted pest management technology. Adapted from [74].
Figure 4. Results from the adoption of Bt soybean with and without the adoption of IPM in the State of Paraná, Brazil, over eight crop seasons from 2015/16 to 2022/23. (A) Insecticide spray per season and (B) Mean spray of insecticides among different pest management technologies. (C) Yield over the seasons and (D) Mean yield according to the adopted pest management technology. (E) Pest control costs over the seasons and (F) Mean pest control cost according to the adopted pest management technology. Adapted from [74].
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Table 1. Results from 11 years of adoption of Soybean-IPM1 in the state of Paraná, Brazil, in comparison with farmers who did not adopt IPM. Adapted from [24,35].
Table 1. Results from 11 years of adoption of Soybean-IPM1 in the state of Paraná, Brazil, in comparison with farmers who did not adopt IPM. Adapted from [24,35].
Soybean
season
Number of fields Number of sprays
(insecticides)
Days until first insecticide spray Pest control costs2
(kg/ha)
Yield
(kg/ha)
Increased profits2,3
(kg/ha)
Adopter Non-Adopter Adopter Non-Adopter Adopter Non-Adopter Adopter Non-Adopter Adopter Non-Adopter
2013/14 46 333 2.3 5.0 57.5 33.0 144 302 2952 2922 186
2014/15 106 330 2.1 4.7 66.0 34.0 120 300 3612 3516 276
2015/16 123 314 2.1 3.8 66.8 36.0 120 240 3426 3282 264
2016/17 141 390 2.0 3.7 70.8 40.5 138 246 3870 3828 150
2017/18 196 615 1.5 3.4 78.7 43.6 138 324 3702 3630 258
2018/19 241 773 1.7 3.4 74.0 40.3 126 246 3006 2916 210
2019/20 255 553 1.7 3.0 75.0 56.0 108 186 3864 3804 138
2020/21 191 518 1.7 3.4 76.0 59.0 60 120 3654 3618 96
2021/22 175 522 0.8 2.6 85.0 57.0 36 96 1752 1740 72
2022/23 150 443 1.0 3.0 86.0 61.0 54 156 4128 4002 228
2023/24 138 543 1.7 3.3 72.0 56.0 162 276 3552 3228 438
Average 160.8 484.9 1.7 3.6 73.4 46.9 109.6 226.6 3410.7 3316.9 210.7
1IPM program where public consultants (from IDR - Paraná) sampled pests over the seasons and took all the decisions about IPM in the fields of selected farmers. At the end of the season, the results of IPM fields were compared with fields of non-adopters of IPM over the state. 2Pest control costs and increased profits from adopting IPM compared with non-adoption were transformed into the equivalent of the value of kilograms of soybean, at each season, to avoid any depreciation of the currency due to possible effects of inflation. 3Increase profits = (Yield of Adopters – Yield of Non-Adopters) + (Pest Control Costs of Non-Adopters – Pest Control of Adopters).
Table 2. Economic Thresholds (ETs) recommended for soybean pests.
Table 2. Economic Thresholds (ETs) recommended for soybean pests.
Pests ET(s) References
Aphis glycines 273 ± 38 aphids/plant [50]
Bemisia tabaci (a) 1.5 insect per leaflet
(b) Beginning of sooty mood formation
[51]
Crocidosema sp. 50% of damaged plants [47]
Defoliators (a) 30% defoliation (soybean in the vegetative stage) - Brazil, Illinois, Iowa and North Dakota (USA)
(b) 35% defoliation (soybean in the vegetative stage) – USA
(c) 40% defoliation (soybean in the vegetative stage) – Michigan and Ohio (USA)
(d) >40% defoliation (soybean in the vegetative stage) – Indiana (USA)
or
(e) 15% defoliation (soybean in the reproductive stage R1 to R6) – Brazil, Ohio and Michigan (USA)
(f) >15% defoliation (soybean in the reproductive stage R1 to R6) – Indiana (USA)
(g) 20% defoliation (soybean in the reproductive stage) – Illinois, Iowa and North Dakota (USA)
[44,53,54]
Helicoverpa zea 3.5 caterpillars /meter or sample cloth or 9 caterpillars/ 25 seweeps - USA [55]
Heliothinae (Helicoverpa spp. and Chloridea virescens) (a) four caterpillars/meter or sample cloth (soybean in the vegetative stage) – Brazil
or
(b) two caterpillars/meter or sample cloth (soybean in the reproductive stage) - Brazil
[24]
Pod feeders 25% damaged pods [46]
Spodoptera spp. 10 caterpillars (≥1.5 cm)/meter or sample cloth [56]
Stink bugs (a) two stink bugs (≥0.5 cm)/meter or sample cloth (soybean for grain production) - Brazil
(b) three stink bugs (≥0.6 cm)/meter or sample cloth – USA
(c) nine stink bugs (≥0.6 cm)/25 sweeps - USA
or
(d) one stink bugs (≥0.5 cm)/meter or sample cloth (soybean for seed production) - Brazil
[45,53]
Tetranychus cucurbitacearum 21.23 mites/leaflet [57]
Table 3. Adoption of Bt soybean cultivars in South American countries.
Table 3. Adoption of Bt soybean cultivars in South American countries.
Country Area (ha) % Year Reference
Brazil 43.0 million 94% 2023/24 [74]
Argentina 4.3 million 16.2 2018 [75]
Paraguay 1.7 million 6.4 2018 [75]
Uruguay 0.4 million 1.5 2018 [75]
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