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First report of field-evolved resistance to insecticides in Spodoptera frugiperda (Lepidoptera: Noctuidae) from Punjab, Pakistan

Abstract

The fall armyworm, Spodoptera frugiperda, is one of the major destructive pests of agriculture in Pakistan. The widespread use of insecticides for the management of S. frugiperda has resulted in the field-evolved resistance to insecticides in different strains worldwide. However, field-evolved resistance to insecticides has not yet been reported in S. frugiperda from Pakistan. Following reports of control failure of S. frugiperda in Punjab, Pakistan, a study was planned to investigate resistance to insecticides from different classes in field strains of S. frugiperda to confirm whether the resistance was indeed evolving. Here, we explored resistance to spinetoram, emamectin benzoate, indoxacarb, diflubenzuron, methoxyfenozide, chlorpyrifos and cypermethrin in seven field strains and compared them with a laboratory susceptible reference (Lab-SF) strain of S. frugiperda. Compared with the Lab-SF strain at the LC50 levels, the field strains exhibited 24.8–142.7 (spinetoram), 33.4–91.4 (emamectin benzoate), 30.1–90.6 (indoxacarb), 16.1–38.4 (diflubenzuron), 18.4–51.8 (methoxyfenozide), 37.1–222.9 (chlorpyrifos), and 61.9–540.6 (cypermethrin) fold resistance ratios (RRs). In the presence of detoxification enzyme inhibitors [piperonyl butoxide (PBO) and S,S,S-tributyl phosphorotrithioate (DEF)], the toxicity of all the insecticides, with the exception of spinetoram, was significantly enhanced in the tested field strains of S. frugiperda, providing insight into the metabolic mechanism of resistance. Additionally, compared with the Lab-SF strain, the resistant field strains exhibited elevated activities of detoxification enzymes such as glutathione S-transferases (GST), carboxylesterases (CarE) and mixed-function oxidases (MFO). Overall, the findings of the present study provide robust evidence of field-evolved resistance to insecticides in S. frugiperda, which needs to be managed to minimize yield losses of different crops caused by this global pest.

Introduction

Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae), commonly known as the fall armyworm (FAW), is one of the major insect pests of agriculture worldwide [1]. It has the potential to rapidly spread in different regions owing to its strong flight ability [2] and potential to contaminate certain agricultural commodities [3]. It has been reported from different parts of the world. For instance, S. frugiperda has been reported from different areas of the Americas and Canada [47], Africa and sub-Saharan Africa [810], Australia [11,12], Asia and parts of Oceana [1315]. As it is polyphagous in nature, S. frugiperda has been found feeding on a diverse range of wild and cultivated plants. The plants species belonging to the Asteraceae, Poaceae and Fabaceae families are the most preferred hosts of S. frugiperda [4]. However, S. frugiperda prefers to infests sorghum, Sorghum bicolor (L.), and maize, Zea mays L., in invaded regions [16].

The climatic conditions of most parts of South Asia and Southeast Asia are usually suitable throughout the year for the growth and expansion of S. frugiperda [17,18]. In Pakistan, the first records of S. frugiperda were reported from Punjab Province in 2019 [19] and Sindh Province in 2020 [20]. This pest causes significant economic losses in the yield of different crops such as maize, sorghum and cotton [21].

Currently, the use of insecticides is the mainstay for the control of S. frugiperda worldwide. Owing to the losses caused by S. frugiperda, farmers usually apply high dosages of insecticides. As a result, S. frugiperda has developed resistance to various insecticides, which makes its control difficult [22]. Insecticide resistance and pest resurgence are among the major side effects of insecticidal usage to control insect pests of economic importance [23]. Studies have revealed that S. frugiperda has developed resistance to various insecticides belonging to different modes of action [24,25]. Field-evolved resistance to insecticides in S. frugiperda has been widely reported across different countries, such as Georgia [26], the USA [27], China [28,29], Puerto Rico [30,31], Australia [11,15,32], Egypt [33], India [34] and Brazil [35,36]. In Pakistan, there are several reports of field-evolved resistance to insecticides in different lepidopteran insect pests [24,3741], which indicate the probability of insecticide resistance in S. frugiperda. However, there are no reports of field-evolved resistance to insecticides in S. frugiperda from Pakistan.

Elevated activities of detoxifying enzymes are considered one of the major phenomena behind resistance development to most insecticides, which can be confirmed using synergists along with insecticides in bioassays and/or performing enzyme analyses of resistant strains [42]. For example, synergists such as piperonyl butoxide (PBO) and S,S,S-tributyl phosphorotrithioate (DEF) have been used in a number of reports to trace the metabolic mechanism of resistance to insecticides in different insect pests [4348].

Following reports of control failure of S. frugiperda in Punjab, Pakistan, and its high potential to rapidly develop resistance to insecticides, a study was planned to investigate resistance to insecticides from different classes in field strains of S. frugiperda to confirm whether the resistance was indeed evolving. In addition, we were interested to see whether the metabolic mechanism of resistance is involved in developing resistance to insecticides.

Materials and methods

Ethics statement

No specific permit was required to collect S. frugiperda samples from farmers’ fields as these were privately owned and collection was made merely by speaking with the private owners. Since, S. frugiperda is not an endangered species; no permission was required from any concerned authority in Punjab, Pakistan.

Spodoptera frugiperda strains

Seven field strains and a laboratory susceptible reference strain were used in the present study. Field strains were collected from Multan (30.1864° N, 71.4886° E), Pattoki (31.0249° N, 73.8479° E), Lahore (31.5204° N, 74.3587° E), Mian Channu (30.4390° N, 72.3552° E), Sialkot (32.4945° N, 74.5229° E), Jhang (31.2781° N, 72.3317° E) and Faisalabad (31.4504° N, 73.1350° E) and were designated MTN-SF, PTI-SF, LHR-SF, MCU-SF, SKT-SF, JHG-SF and FSD-SF, respectively. The selected localities were under multiple cropping systems such as maize, cotton, rice, wheat, sugarcane, millet, vegetables and fodders, which were grown side-by-side depending on the season. A variety of recommended insecticides from different classes were in practice in selected localities to manage insect pests of different crops, including S. frugiperda [49,50]. Approximately 500 larvae of each field strain were collected from maize fields from 2023 to start rearing in the laboratory. Each field strain was used for bioassays after one generation was reared in the laboratory. A laboratory-susceptible reference strain, designated as “Lab-SF”, was collected in July 2021 from Lahore and reared in the laboratory for two years without exposure to any insecticides. The susceptibility of this strain was the highest to all insecticides compared to that of field strains (please see the results section), and hence it was used as a reference strain. Larvae of all strains were reared on an artificial diet proposed by Truzi et al. [51] and Kasten et al. [52]. The artificial diet was consisted of wheat germ (120 g), white bean (240 g), Brewer’s yeast (72 g), ascorbic acid (7.3 g), sorbic acid (2.4 g), agar (20 g), methylparahydroxybenzoate (4.4 g), vitamin solution (10 ml), formaldehyde 10% (6 ml) and distilled water (1000 ml). Moths were fed a 10% honey solution via soaked cotton pieces in wooden mesh cages (30 × 30 × 30 cm). The laboratory conditions throughout the experiments were 26 ± 2 °C, 12 L: 12 D h photoperiod and 65 ± 5% relative humidity.

Chemicals

Seven technical-grade insecticides (>95% purity) were used in the bioassays: spinetoram, emamectin benzoate, indoxacarb, diflubenzuron, methoxyfenozide, chlorpyrifos and cypermethrin. Piperonyl butoxide (PBO), an inhibitor of microsomal oxidases (cytochrome P450 monooxygenases) and esterases, and S,S,S-tributyl phosphorotrithioate (DEF), an esterase-specific inhibitor, were used in synergism bioassays. All chemicals were from Chem Service, Inc., West Chester, PA.

Bioassays

The toxicity of different insecticides and synergistic bioassays were performed following the leaf disc bioassay technique [53] using castor bean (Ricinus communis L.) leaves. Seven concentrations of each insecticide, resulting in >0% and <100% mortality, were prepared in acetone. Unsprayed, free from insecticidal exposure, castor bean leaves were washed, air-dried and immersed for 10 s in an insecticide solution of a specific concentration and left to dry at ambient temperature. For the control, the leaf discs were immersed in acetone alone. Treated castor bean leaf discs (68 mm diameter) were placed in Petri plates (70 mm diameter) containing moistened filter paper. Ten second-instar larvae were introduced into each Petri plate, and all the bioassays were repeated eight times. Each repetition of bioassays was performed on separate times by preparing fresh solutions of insecticides against second-instar larvae. The bioassay conditions used during the experiments were 26 ± 2 °C, 12 L: 12 D h photoperiod and 65 ± 5% relative humidity. In the case of synergism bioassays, 10 mg/ml PBO or DEF was added to each concentration of insecticide. The concentration of PBO and DEF was the maximum sublethal concentration as determined in preliminary experiments. The synergism bioassays were only conducted with the Lab-SF strain and the most resistant field strain against each insecticide. The mortality of the larvae introduced into each Petri plate was determined after 96 h of exposure. Treated larvae that did not move upon contact with a camel-hair brush were considered dead.

Enzyme analyses

The protocols described by Caballero et al. [54] and Azhar et al. [55] were followed to assess the activities of detoxification enzymes in the larvae of Lab-SF and field strains. For this purpose, second instar larvae (N = 05) of Lab-SF and each of the field strains were homogenized separately in 400 μL of NaCl (0.15 M) with a chilled mortar in 2 mL Eppendorf tubes for one minute. To obtain the supernatant, the homogenate of each strain was centrifuged at 1397.5 × g for 8 min at 4 °C. These supernatants were used to assess the activities of carboxylesterase (CarE), glutathione-s-transferase (GST) and mixed function oxidase (MFO) following the protocols of Gao et al. [56] and Yang et al. [57], and Bradford [58] method for protein analysis. Briefly, for CarE activity towards α-Na, 10 μL of enzyme solution and 200 μL of substrate solution were added to each well of a 96-well microtiter plate. The optical density was recorded at 450 nm for 10 min, and the standard curve was prepared with α-naphthol [56]. For the activity of GST, CDNB was used as a substrate. The reaction was started by mixing 100 μL each of 1.2 mM CDNB and 6 mM GSH, and 10 μL of the enzyme solution. The optical density was recorded at 340 nm [57]. For the activity of MFO, 100 μL of 2 mM P-NA solution and 90 μL enzyme solution were added to each well of microplate and the reaction was started by adding 10 μL of 9.6 mM NADPH. The optical density was recorded at 405 nm for 15 min [56]. All the enzyme analyses were repeated six times.

Statistical analyses

Mortality data were analyzed by Probit analysis using software PoloPlus (LeOra-Software., 2005) to determine median lethal concentrations (LC50s). Any two LC50 values were considered significantly different if their 95% CI values did not overlap [59]. The significance of resistance ratios (RRs) was determined following ratio tests by comparing LC50 values of field strain with that of the Lab-SF strain. The RR value was significantly different if 95% CI of the ratio did not include one [60].

The data of activities of GST, CarE and MFO in different strains were analyzed by the one-way ANOVA, and means were compared by Tukey’s HSD test using Statistix 8.1v.

Results

Bioassay results

The results of the bioassays revealed variable toxicity of the tested insecticides against the Lab-SF and field strains of S. frugiperda, which are summarized in Tables 1–3. The recorded LC50 value of spinetoram was 0.34 µg/ml for the Lab-SF strain. For field strains, LC50 values of spinetoram ranged from 9.97 to 48.52 µg/ml (Table 1). In comparison to the Lab-SF strain, JHG-SF was the most resistant strain to spinetoram (RR = 142.71 fold), followed by the MTN-SF strain (RR = 103.00 fold). The LC50 value of emamectin benzoate for the Lab-SF strain was 0.17 µg/ml. The LC50 values of emamectin benzoate for field strains ranged from 5.67 to 15.54 µg/ml. Compared with the Lab-SF strain, the JHG-SF strain was the most resistant strain to emamectin benzoate (RR = 91.41 fold) followed by the MCU-SF strain (RR = 72.53 fold). In the case of indoxacarb, the LC50 value of the Lab-SF strain was 0.10 µg/ml, while the LC50 values of field strains were recorded from 3.01 to 9.06 µg/ml. The PTI-SF strain was the most resistant strain to indoxacarb (RR = 90.60 fold) followed by the SKT-SF, MTN-SF, FSD-SF and JHG-SF strains (RR = 82.40, 78.70, 72.00, and 67.50 fold, respectively) (Table 1).

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Table 1. Toxicity of spinetoram, emamectin benzoate and indoxacarb against second instar larvae of laboratory and field strains of S. frugiperda.

https://doi.org/10.1371/journal.pone.0324857.t001

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Table 2. Toxicity of diflubenzuron and methoxyfenozide against second instar larvae of laboratory and field strains of S. frugiperda.

https://doi.org/10.1371/journal.pone.0324857.t002

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Table 3. Toxicity of chlorpyrifos and cypermethrin against second instar larvae of laboratory and field strains of S. frugiperda.

https://doi.org/10.1371/journal.pone.0324857.t003

For IGRs, the recorded LC50 value of diflubenzuron was 0.13 µg/ml for the Lab-SF strain. For the field strains, LC50 values of diflubenzuron ranged from 2.09 to 4.99 µg/ml (Table 2). The RR values for different field strains ranged from 16.07–38.38 folds greater than those of the Lab-SF strain. In the case of methoxyfenozide, the LC50 value of the Lab-SF strain was 0.15 µg/ml. Among the different field strains, the MCU-SF strain was observed as the most susceptible strain, with the LC50 value of 2.76 µg/ml, whereas the FSD-SF was the least susceptible strain (LC50 = 7.77 µg/ml). Overall, the RRs were 18.40–51.80 folds greater for different field strains than for the Lab-SF strain.

On the basis of the recorded LC50 values, chlorpyrifos and cypermethrin were the least toxic insecticides to the Lab-SF strain and field strains compared with the other insecticides (Table 3). The LC50 value of chlorpyrifos was 0.63 µg/ml for the Lab-SF strain. The field strains exhibited LC50 values ranging from 23.36 to 140.41 µg/ml for chlorpyrifos. Compared with the Lab-SF strain, the JHG-SF strain was the most resistant strain to chlorpyrifos (RR = 222.87 fold) followed by the MCU-SF (RR = 180.79 fold), FSD-SF (RR = 166.02 fold) and MTN-SF (RR = 148.32 fold) strains (Table 3). The recorded LC50 value of cypermethrin was 0.79 µg/ml for the Lab-SF strain. For the field strains, LC50 values of cypermethrin ranged from 48.92 to 427.07 µg/ml. In the case of alpha-cypermethrin, the FSD-SF strain was the most resistant strain (RR = 540.59 fold) compared with the Lab-SF strain (Table 3).

Synergism analyses

In synergism bioassays, based on non-significant synergism ratios, PBO and DEF did not significantly synergize with the toxicity of any insecticide tested against the Lab-SF strain (Table 4). In addition, PBO and DEF also failed to synergize with the toxicity of spinetoram in the field strain (JHG-SF). However, indoxacarb, emamectin benzoate, diflubenzuron, methoxyfenozide, chlorpyrifos, and cypermethrin exhibited significantly enhanced toxicity in the tested field strains of S. frugiperda (Table 4).

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Table 4. Toxicity of insecticides alone and in combination with synergists (PBO or DEF) against second instar larvae of laboratory and field strains of S. frugiperda.

https://doi.org/10.1371/journal.pone.0324857.t004

Detoxification enzyme analyses

All the field strains of S. frugiperda exhibited significantly higher activities of CarE, GST and MFO than did the Lab-SF strain (Figs 1-3). The highest activity of CarE (Fig 1) was detected in the JHG-SF strain, followed by the FSD-SF, MTN-SF and MCU-SF strains, whereas the lowest activity was observed in the Lab-SF strain (df = 7,32; F = 39.1; p < 0.01). In the case of GST (Fig 2), the FSD-SF strain exhibited the highest activity, followed by the JHG-SF, MCU-SF, MTN-SF and SKT-SF strains (df = 7,32; F = 25.4; p < 0.01). The JHG-SF strain presented the highest activity of MFO (Fig 3), followed by the FSD-SF, MCU-SF and MTN-SF strains, while SKT-SF, PTI-SF and LHR-SF showed the lowest activity compared with the other field strains (df = 7,32; F = 35.3; p < 0.01). Overall, the lowest activities of CarE, GST and MFO were recorded in the Lab-SF strain (Figs 1-3).

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Fig 1. Activities of carboxylesterase (CarE) in laboratory and field strains of Spodoptera frugiperda collected from maize fields.

Activities of CarE in different strains were analyzed by one-way ANOVA and means were compared with Tukey’s HSD test at p ≤ 0.05. Data bars (mean±SE) with different letters are significantly different (df = 7,32; F = 39.1; p < 0.01).

https://doi.org/10.1371/journal.pone.0324857.g001

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Fig 2. Activities of glutathione-s-transferase (GST) in laboratory and field strains of Spodoptera frugiperda collected from maize fields.

Activities of GST in different strains were analyzed by one-way ANOVA and means were compared with Tukey’s HSD test at p ≤ 0.05. Data bars (mean±SE) with different letters are significantly different (df = 7,32; F = 25.4; p < 0.01).

https://doi.org/10.1371/journal.pone.0324857.g002

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Fig 3. Activities of mixed function oxidase (MFO) in laboratory and field strains of Spodoptera frugiperda collected from maize fields.

Activities of MFO in different strains were analyzed by one-way ANOVA and means were compared with Tukey’s HSD test at p ≤ 0.05. Data bars (mean±SE) with different letters are significantly different (df = 7,32; F = 35.3; p < 0.01).

https://doi.org/10.1371/journal.pone.0324857.g003

Discussion

The management of insect pests with the help of synthetic insecticides is an important tool; however, misuse or extensive use of insecticides could lead to the development of resistance in target pests over time [23]. Understanding the current susceptibility levels of a specific insect pest to different insecticides could help strengthen resistance monitoring and management practices. A variety of insecticides from the organophosphate, carbamate, pyrethroid, and growth regulator classes are used to manage S. frugiperda worldwide [25,6166]. This has resulted in the development of resistance to insecticides in S. frugiperda in different countries [11,27,29,33,67]. Therefore, it is necessary to investigate patterns of resistance development to diverse insecticides in target pests, such as S. frugiperda, in different regions in order to effectively manage resistance problems [47].

The results of the present study revealed notable resistance to insecticides from different classes in Pakistani strains of S. frugiperda. In addition, insecticidal bioassays in the presence of synergists and enzyme analyses of field strains indicated the possibility of a metabolic mechanism of resistance to most of the tested insecticides. In India, S. frugiperda was recently reported to be resistant to chlorantraniliprole, flubendiamide, chlorpyrifos, thiodicarb and deltamethrin [68]. Moreover, minor to low levels of resistance to indoxacarb, chlorantraniliprole and emamectin benzoate were detected in different field strains of S. frugiperda from China [29]. These reports, including the results of the present study, indicate that South Asian and East Asian strains of S. frugiperda have the potential to develop resistance to a wide range of insecticides from different classes. Recent reports of insecticidal control failure and subsequent outbreaks in S. frugiperda might be associated with the development of resistance to a diverse range of insecticides. As stated earlier, S. frugiperda has been reported in Punjab, Pakistan during 2019 [19]. Higher levels of resistance in Pakistani strains of S. frugiperda than those reported in Indian [68] and Chinese strains [29] might be due to the reason that S. frugiperda migrated into Pakistan from nearby countries already had resistance gene(s). The resistance gene(s) probably helped Pakistani strains of S. frugiperda to develop high levels of resistance in a short period after their possible exposures with a variety of insecticides used in Punjab, Pakistan.

Spinetoram is a biological compound obtained from the fermentation process of Saccharopolyspora spinosa (a soil actinomycete). In insects, spinetoram disrupts neuronal activity by interfering with GABA-gated ion channels and activating nicotinic acetylcholine receptors (nAChRs) in the nervous system [69]. Resistance to spinosyns (spinosad or spinetoram) in S. frugiperda has been reported in Brazil [70,71], Puerto Rico and Mexico [72], and China [73]. In the present study, S. frugiperda strains exhibited 29.32 to 103.00 fold resistance to spinetoram in comparison with the laboratory susceptible reference strain, and there was considerable variation in resistance among the tested field strains. In contrast, 16 field strains of S. frugiperda from China exhibited 1.40 to 7.65 fold resistance to spinetoram, with very low intraspecific variation in resistance [74]. Similarly, Australian strains of S. frugiperda showed no resistance to spinetoram compared with a reference strain of Helicoverpa armigera (Hübner) [11]. In Pakistan, spinetoram has been in use against different lepidopteran insect pests since 2011 [49]. The high levels of resistance to spinetoram in the present study might be due to its frequent use against a number of insect pests of different field crops, including S. frugiperda. Previously, resistance to spinetoram in other lepidopteran pests has also been reported from Punjab, Pakistan [3739]. The data of the present study revealed that resistance to emamectin benzoate and indoxacarb in different field strains ranged from 33.35 to 91.41 fold and from 30.10 to 90.60 fold, respectively, than that in the Lab-SF strain. Similar to spinetoram, field strains showed variable intraspecific toxicity to emamectin benzoate and indoxacarb. Previously, resistance to emamectin benzoate has been reported in different strains of S. frugiperda [7577] and closely related species, such as S. litura [38,78] and S. exigua [79,80]. Similarly, Spodoptera species have also expressed resistance to indoxacarb in different areas [53,8187]. In contrast to the present study, field strains of S. frugiperda from Egypt exhibited no resistance to emamectin benzoate [33]. The high levels of resistance to these insecticides in the present study might be due to their frequent use against a number of insect pests of different field crops, including S. frugiperda.

Our data revealed that, compared with other strains, most of the field strains of S. frugiperda were relatively less resistant to diflubenzuron and methoxyfenozide. Diflubenzuron and methoxyfenozide are insect growth regulators: diflubenzuron is a chitin synthesis inhibitor [88], whereas methoxyfenozide is a molting hormone that causes insect mortality by activating the premature molting process [89]. In contrast to the data of the present study, methoxyfenozide had lower toxicity than spinosyns and emamectin benzoate to different field strains of S. frugiperda in Australia [11]. Similarly, Egyptian strains of S. frugiperda exhibited no resistance to diflubenzuron [33]. Owing to the highly specific mode of action of diflubenzuron and methoxyfenozide and their low resistance compared with the other insecticides, they are suitable candidates that can be used in rotation in order to manage resistance problems in S. frugiperda.

The results of the present study revealed that, compared with the other tested insecticides, chlorpyrifos and cypermethrin were the least toxic insecticides against most of the field strains of S. frugiperda. In comparison to the Lab-SF strain, resistance to chlorpyrifos and cypermethrin in field strains ranged from 37.08 to 222.87 fold and 61.92 to 540.59 fold, respectively. Chlorpyrifos and cypermethrin have been widely used for the management of S. frugiperda. However, many cases have reported resistance to these insecticides. Resistance to chlorpyrifos has been reported in different strains of S. frugiperda from different countries [11,27,28,72,9092]. Similarly, Australian strains showed 44–132 fold reduced toxicity to cypermethrin in comparison with a reference strain of H. armigera.

Metabolic detoxification is one of the major mechanisms behind resistance development to insecticides [93]. The presence of a metabolic mechanism of resistance can initially be checked by conducting insecticidal bioassays along with synergists such as PBO and DEF [23,94]. The data of the present study exhibited that the toxicity of emamectin benzoate, indoxacarb, diflubenzuron, methoxyfenozide, chlorpyrifos and cypermethrin significantly synergized with PBO and DEF in the tested field strains of S. frugiperda. These results indicate the involvement of monooxygenases and esterases in imparting resistance to different insecticides in the tested field strains of S. frugiperda. Such type of synergism has also been reported in S. frugiperda and some other Spodoptera spp. For instance, PBO had a significant effect on synergizing toxicity of emamectin benzoate and indoxacarb in S. frugiperda [29]. In another report, PBO significantly synergized with the toxicity of indoxacarb in a S. frugiperda strain [83]. PBO and DEF have been reported to significantly suppress resistance to pyrethroid and organophosphate, respectively, in Indian strains of S. litura [95]. Similarly, DEF significantly enhanced the toxicity of cypermethrin in S. frugiperda [96]. Both PBO and DEF failed to enhance the toxicity of spinetoram, which is in broad agreement with our previous reports where PBO and DEF failed to synergize with the toxicity of spinosyn in different insect pests [97100]. The presence of a metabolic mechanism of resistance was further confirmed by assessing detoxification enzyme activities in S. frugiperda strains. Metabolic enzymes such as GSTs, CarE and MFO help detoxify insecticides in insect pests [101,102]. The data of the present study revealed that all the field strains of S. frugiperda exhibited significantly higher activities of CarE, GST and MFO than did the Lab-SF strain. Hence, further studies on the metabolic mechanisms of resistance to insecticides in S. frugiperda could help in formulating resistance management strategies. For example, proteomics studies in resistant insects can be helpful to identify insect proteins interacting with insecticides, and their modifications can be characterized [103].

Conclusion

Spodoptera frugiperda is a relatively new pest of field crops in Pakistan. The presence of notable levels of resistance to diverse insecticides makes its management difficult. The integration of nonchemical measures along with insecticides, aimed at reducing insecticidal usage, could be helpful for managing resistance problems and effectively managing S. frugiperda. The data of the present study showed that S. frugiperda is still susceptible to IGRs. Therefore, the rotational use of IGRs with other insecticides could be helpful for managing S. frugiperda. Further studies are needed to study the nature of the development of resistance to insecticides in S. frugiperda and to identify alternative insecticides.

Acknowledgments

Sincere thanks to the Director, Institute of Zoology, University of the Punjab, Lahore, for providing support to complete this study.

References

  1. 1. Tambo JA, Kansiime MK, Mugambi I, Agboyi LK, Beseh PK. Economic impacts and management of fall armyworm (Spodoptera frugiperda) in smallholder agriculture: a panel data analysis for Ghana. CABI Agricul Biosci. 2023;4:38.
  2. 2. Ge S, Sun X, He W, Wyckhuys KAG, He L, Zhao S, et al. Potential trade-offs between reproduction and migratory flight in Spodoptera frugiperda. J Insect Physiol. 2021;132:104248. pmid:33945808
  3. 3. Mlambo S, Mubayiwa M, Tarusikirwa VL, Machekano H, Mvumi BM, Nyamukondiwa C. The fall armyworm and larger grain borer pest invasions in Africa: drivers, impacts and implications for food systems. Biology (Basel). 2024;13(3):160. pmid:38534430
  4. 4. Montezano DG, Specht A, Sosa-Gómez DR, Roque-Specht VF, Sousa-Silva JC, Paula-Moraes SV, et al. Host Plants ofSpodoptera frugiperda(Lepidoptera: Noctuidae) in the Americas. African Entomol. 2018;26(2):286–300.
  5. 5. Andrews KL. The whorlworm, Spodoptera frugiperda, in Central America and neighboring areas. The Florida Entomologist. 1980;63(4):456.
  6. 6. Johnson SJ. Migration and the life history strategy of the fall armyworm, Spodoptera Frugiperda in the Western Hemisphere. Int J Trop Insect Sci. 1987;8(4–6):543–9.
  7. 7. Mitchell ER, McNeil JN, Westbrook JK, Silvain JF, Lalanne-Cassou B, Chalfant RB, et al. Seasonal Periodicity of Fall Armyworm, (Lepidoptera: Noctuidae) in the Caribbean Basin and Northward to Canada. J Entomol Sci. 1991;26(1):39–50.
  8. 8. Niassy S, Agbodzavu MK, Kimathi E, Mutune B, Abdel-Rahman EFM, Salifu D, et al. Bioecology of fall armyworm Spodoptera frugiperda (J. E. Smith), its management and potential patterns of seasonal spread in Africa. PLoS One. 2021;16(6):e0249042. pmid:34115755
  9. 9. Bateman ML, Day RK, Luke B, Edgington S, Kuhlmann U, Cock MJW. Assessment of potential biopesticide options for managing fall armyworm (Spodoptera frugiperda) in Africa. J Appl Entomol. 2018;142(9):805–19.
  10. 10. Njuguna E, Nethononda P, Maredia K, Mbabazi R, Kachapulula P. Experiences and perspectives on spodoptera frugiperda (Lepidoptera: Noctuidae) management in Sub-Saharan Africa. J Integrat Pest Manag. 2021;12:7.
  11. 11. Bird L, Miles M, Quade A, Spafford H. Insecticide resistance in Australian Spodoptera frugiperda (J.E. Smith) and development of testing procedures for resistance surveillance. PLoS One. 2022;17(2):e0263677. pmid:35143580
  12. 12. Qi G-J, Ma J, Wan J, Ren Y-L, McKirdy S, Hu G, et al. Source regions of the first immigration of fall armyworm, Spodoptera frugiperda (Lepidoptera: Noctuidae) Invading Australia. Insects. 2021;12(12):1104. pmid:34940192
  13. 13. Baloch MN, Fan J, Haseeb M, Zhang R. Mapping potential distribution of Spodoptera frugiperda (Lepidoptera: Noctuidae) in Central Asia. Insects. 2020;11(3):172. pmid:32182795
  14. 14. He L, Wang T, Chen Y, Ge S, Wyckhuys KAG, Wu K. Larval diet affects development and reproduction of East Asian strain of the fall armyworm, Spodoptera frugiperda. J Integr Agri. 2021;20(3):736–44.
  15. 15. Tay WT, Rane RV, James W, Gordon KHJ, Downes S, Kim J, et al. Resistance bioassays and allele characterization inform analysis of Spodoptera frugiperda (Lepidoptera: Noctuidae) introduction pathways in Asia and Australia. J Econ Entomol. 2022;115(6):1790–805. pmid:36515109
  16. 16. Hailu G, Niassy S, Bässler T, Ochatum N, Studer C, Salifu D, et al. Could fall armyworm, Spodoptera frugiperda (J. E. Smith) invasion in Africa contribute to the displacement of cereal stemborers in maize and sorghum cropping systems. Int J Trop Insect Sci. 2021;41(2):1753–62.
  17. 17. Chhetri LB, Acharya B. Fall armyworm (Spodoptera frugiperda): a threat to food security for South Asian country: control and management options: a review. Farm Manag. 2019;4:38–44.
  18. 18. Jiang C, Zhang X, Xie W, Wang R, Feng C. Predicting the potential distribution of the fall armyworm Spodoptera frugiperda (JE Smith) under climate change in China. Glob Ecol Conserv. 2022;33:e01994.
  19. 19. Naeem-Ullah U, Ansari MA, Iqbal N, Saeed S. First authentic report of Spodoptera frugiperda (JE Smith)(Noctuidae: Lepidoptera) an alien invasive species from Pakistan. Appl Sci Business Econ. 2019;6:1–3.
  20. 20. Gilal AA, Bashir L, Faheem M, Rajput A, Soomro JA. First record of invasive fall armyworm (Spodoptera frugiperda (Smith)(Lepidoptera: Noctuidae)) in corn fields of Sindh, Pakistan. Pakistan J Agri Res. 2020;33:247–52.
  21. 21. Overton K, Maino JL, Day R, Umina PA, Bett B, Carnovale D, et al. Global crop impacts, yield losses and action thresholds for fall armyworm (Spodoptera frugiperda): a review. Crop Protection. 2021;145:105641.
  22. 22. Kumar RM, Gadratagi B-G, Paramesh V, Kumar P, Madivalar Y, Narayanappa N, et al. Sustainable management of invasive fall armyworm, Spodoptera frugiperda. Agronomy. 2022;12(9):2150.
  23. 23. Khan HAA. Monitoring resistance to methomyl and synergism in the non-target Musca domestica from cotton fields of Punjab and Sindh provinces, Pakistan. Sci Rep. 2023;13(1):7074. pmid:37127684
  24. 24. Chao W, Lei Z, Chongyu L, Kongming W, Yutao X. Research progress of resistance mechanism and management techniques of fall armyworm Spodoptera frugiperda to insecticides and Bt crops. Plant Diseases and Pests. 2019;10:10–7.
  25. 25. Van den Berg J, du Plessis H. Chemical control and insecticide resistance in Spodoptera frugiperda (Lepidoptera: Noctuidae). J Econ Entomol. 2022;115(6):1761–71. pmid:36515104
  26. 26. Young JR, McMillian WW. Differential feeding by two strains of fall armyworm larvae on carbaryl treated surfaces123. J Econ Entomol. 1979;72(2):202–3.
  27. 27. Yu SJ. Insecticide resistance in the fall armyworm, Spodoptera frugiperda (J. E. Smith). Pestic Biochem Physiol. 1991;39(1):84–91.
  28. 28. Zhang DD, Xiao YT, Xu P j, Yang X m, Wu Q l. Insecticide resistance monitoring for the invasive populations of fall armyworm, Spodoptera frugiperda in China. J Integrat Agri. 2021;20:783–91.
  29. 29. Liu J, Hao Z, Yang S, Lin Y, Zhong H, Jin T. Insecticide resistance and its underlying synergism in field populations of Spodoptera frugiperda (J. E. Smith) from Hainan Island, China. Phytoparasitica. 2022;50(4):933–45.
  30. 30. Posos-Parra O, Mota-Sanchez D, Pittendrigh BR, Wise JC, DiFonzo CD, Patterson E. Characterization of the inheritance of field-evolved resistance to diamides in the fall armyworm (Spodoptera frugiperda) (Lepidoptera: Noctuidae) population from Puerto Rico. PLoS One. 2024;19(2):e0295928. pmid:38394153
  31. 31. Zhu YC, Blanco CA, Portilla M, Adamczyk J, Luttrell R, Huang F. Evidence of multiple/cross resistance to Bt and organophosphate insecticides in Puerto Rico population of the fall armyworm, Spodoptera frugiperda. Pestic Biochem Physiol. 2015;122:15–21. pmid:26071802
  32. 32. Nguyen DT, Chen Y, Herron GA. Preliminary characterisation of known pesticide resistance alleles in Spodoptera frugiperda (Lepidoptera: Noctuidae) in its invasive Australian range. Austral Entomology. 2021;60(4):782–90.
  33. 33. Moustafa MAM, El-Said NA, Alfuhaid NA, Abo-Elinin FMA, Mohamed RMB, Aioub AAA. Monitoring and detection of insecticide resistance in Spodoptera frugiperda (Lepidoptera: Noctuidae): evidence for field-evolved resistance in Egypt. Insects. 2024;15(9):705. pmid:39336673
  34. 34. Samanta S, Barman M, Thakur H, Chakraborty S, Upadhyaya G, Roy D, et al. Evidence of population expansion and insecticide resistance mechanism in invasive fall armyworm (Spodoptera frugiperda). BMC Biotechnol. 2023;23(1):17. pmid:37403038
  35. 35. Kaiser IS, Kanno RH, Bolzan A, Amaral FSA, Lira EC, Guidolin AS, et al. Baseline response, monitoring, and cross-resistance of Spodoptera frugiperda (Lepidoptera: Noctuidae) to sodium channel blocker insecticides in Brazil. J Econ Entomol. 2021;114(2):903–13. pmid:33604658
  36. 36. Amaral FS de AE, Kanno RH, Nascimento do ARB, Guidolin AS, Omoto C. Trends towards lower susceptibility of Spodoptera frugiperda (Lepidoptera: Noctuidae) to Teflubenzuron in Brazil: an evidence for field-evolved resistance. Insects. 2023;14(2):129. pmid:36835698
  37. 37. Ahmad M, Gull S. Susceptibility of armywormSpodoptera litura(Lepidoptera: Noctuidae) to novel insecticides in Pakistan. Can Entomol. 2017;149(5):649–61.
  38. 38. Ahmad M, Mehmood R. Monitoring of resistance to new chemistry insecticides in Spodoptera litura (Lepidoptera: Noctuidae) in Pakistan. J Econ Entomol. 2015;108(3):1279–88. pmid:26470256
  39. 39. Ahmad M, Rasool B, Ahmad M, Russell DA. Resistance and synergism of novel insecticides in field populations of cotton bollworm Helicoverpa armigera (Lepidoptera: Noctuidae) in Pakistan. J Econ Entomol. 2019;112(2):859–71. pmid:30668865
  40. 40. Ahmad M, Farid A, Saeed M. Resistance to new insecticides and their synergism in Spodoptera exigua (Lepidoptera: Noctuidae) from Pakistan. Crop Protection. 2018;107:79–86.
  41. 41. Ahmad M, Iqbal Arif M. Resistance of Pakistani field populations of spotted bollworm Earias vittella (Lepidoptera: Noctuidae) to pyrethroid, organophosphorus and new chemical insecticides. Pest Manag Sci. 2009;65(4):433–9. pmid:19165729
  42. 42. Khan T, Haider MS, Khan HAA. Resistance to grain protectants and synergism in Pakistani strains of Sitophilus oryzae (Coleoptera: Curculionidae). Sci Rep. 2022;12(1):12401. pmid:35859096
  43. 43. Bues R, Bouvier J, Boudinhon L. Insecticide resistance and mechanisms of resistance to selected strains of Helicoverpa armigera (Lepidoptera: Noctuidae) in the south of France. Crop Protection. 2005;24:814–20.
  44. 44. Scott JG. Investigating mechanisms of insecticide resistance: methods, strategies, and pitfalls. In: Pesticide resistance in arthropods. Springer; 1990. p. 39–57.
  45. 45. Espinosa PJ, Contreras J, Quinto V, Grávalos C, Fernández E, Bielza P. Metabolic mechanisms of insecticide resistance in the western flower thrips, Frankliniella occidentalis (Pergande). Pest Manag Sci. 2005;61(10):1009–15. pmid:15912569
  46. 46. Khan HAA. Resistance risk assessment, cross-resistance potential and realized heritability of resistance to methomyl in Musca domestica Linnaeus. Ecotoxicology. 2024;33(2):226–34. pmid:38424316
  47. 47. Chen H-L, Hasnain A, Cheng Q-H, Xia L-J, Cai Y-H, Hu R, et al. Resistance monitoring and mechanism in the fall armyworm Spodoptera frugiperda (Lepidoptera: Noctuidae) for chlorantraniliprole from Sichuan Province, China. Front Physiol. 2023;14:1180655. pmid:37215171
  48. 48. Abbade-Neto D, Amado D, Pereira RM, Basso M, Spineli-Silva S. First report of Helicoverpa armigera (Lepidoptera: Noctuidae) resistance to flubendiamide in Brazil: genetic basis and mechanisms of the resistance. Agronomy. 2022;12:1664.
  49. 49. Ali MA. The pesticide registered with recommendations safe handling and use in Pakistan. Islamabad, Pakistan: Pakistan Agricultural Research Council (PARC); 2018. http://www.parc.gov.pk/iles/parc_pk/2018/General%20Files/Pesticide-Book-8-04-18.pdf
  50. 50. Khan HAA. An impact assessment of insecticides application on the non-targeted mosquito Aedes albopictus (Skuse) in Punjab rice fields, Pakistan. PeerJ. 2022;10:e13697. pmid:35846891
  51. 51. Truzi CC, Vieira NF, de Souza JM, De Bortoli SA. Artificial diets with different protein levels for rearing Spodoptera frugiperda (Lepidoptera: Noctuidae). J Insect Sci. 2021;21(4):2. pmid:34233003
  52. 52. Kasten P, Aacm P, Parra Jr P. Dados Biologicos Comparativos de Spodoptera frugiperda (JE Smith, 1977) em duas dietas artificiais e substrate natural. 1978.
  53. 53. Ahmad M, Sayyed AH, Saleem MA, Ahmad M. Evidence for field evolved resistance to newer insecticides in Spodoptera litura (Lepidoptera: Noctuidae) from Pakistan. Crop Protection. 2008;27(10):1367–72.
  54. 54. Caballero C, López-Olguin JF, Ruíz MA, Ortego F, Castañera P. Antifeedant activity and effects of terpenoids on detoxication enzymes of the beet armyworm, Spodoptera exigua (Hubner). 2008.
  55. 55. Azhar M, Freed S, Sabir H, Rafique S, Naeem A, Ahmed R. Effect of sub-lethal and lethal concentrations of the entomopathogenic fungus Metarhizium anisopliae Sorokin on detoxification enzymes and demographic parameters of Mythimna separata (Walker). Crop Protection. 2023;172:106323.
  56. 56. Gao C-F, Ma S-Z, Shan C-H, Wu S-F. Thiamethoxam resistance selected in the western flower thrips Frankliniella occidentalis (Thysanoptera: Thripidae): cross-resistance patterns, possible biochemical mechanisms and fitness costs analysis. Pestic Biochem Physiol. 2014;114:90–6. pmid:25175655
  57. 57. Yang Y, Wu Y, Chen S, Devine GJ, Denholm I, Jewess P, et al. The involvement of microsomal oxidases in pyrethroid resistance in Helicoverpa armigera from Asia. Insect Biochem Mol Biol. 2004;34(8):763–73. pmid:15262281
  58. 58. Bradford MM. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal Biochem. 1976;72:248–54. pmid:942051
  59. 59. Litchfield JT Jr, Wilcoxon F. A simplified method of evaluating dose-effect experiments. J Pharmacol Exp Ther. 1949;96(2):99–113. pmid:18152921
  60. 60. Robertson JL, Jones MM, Olguin E, Alberts B. Bioassays with arthropods. CRC Press; 2017.
  61. 61. Deshmukh S, Pavithra HB, Kalleshwaraswamy CM, Shivanna BK, Maruthi MS, Mota-Sanchez D. Field Efficacy of insecticides for management of invasive fall armyworm, Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae) on maize in India. Florida Entomologist. 2020;103(2):221.
  62. 62. Belay DK, Huckaba RM, Foster JE. Susceptibility of the fall armyworm,Spodoptera frugiperda(Lepidoptera: Noctuidae), at Santa Isabel, Puerto Rico, to different insecticides. Florida Entomol. 2012;95(2):476–8.
  63. 63. Paredes-Sánchez FA, Rivera G, Bocanegra-García V, Martínez-Padrón HY, Berrones-Morales M, Niño-García N, et al. Advances in control strategies against Spodoptera frugiperda. A review. Molecules. 2021;26(18):5587. pmid:34577058
  64. 64. Zhao Y-X, Huang J-M, Ni H, Guo D, Yang F-X, Wang X, et al. Susceptibility of fall armyworm, Spodoptera frugiperda (J.E.Smmith), to eight insecticides in China, with special reference to lambda-cyhalothrin. Pestic Biochem Physiol. 2020;168:104623. pmid:32711763
  65. 65. van den Berg J, Britz C, du Plessis H. Maize yield response to chemical control of Spodoptera frugiperda at different plant growth stages in South Africa. Agriculture. 2021;11(9):826.
  66. 66. Kenis M, Benelli G, Biondi A, Calatayud PA, Day R. Invasiveness, biology, ecology, and management of the fall armyworm, Spodoptera frugiperda. Entomologia Generalis. 2023;43.
  67. 67. do Nascimento ARB, Farias JR, Bernardi D, Horikoshi RJ, Omoto C. Genetic basis of Spodoptera frugiperda (Lepidoptera: Noctuidae) resistance to the chitin synthesis inhibitor lufenuron. Pest Manag Sci. 2016;72(4):810–5. pmid:26097123
  68. 68. Kulye M, Mehlhorn S, Boaventura D, Godley N, Venkatesh SK, Rudrappa T, et al. Baseline susceptibility of spodoptera frugiperda populations collected in india towards different chemical classes of insecticides. Insects. 2021;12(8):758. pmid:34442324
  69. 69. Geng C, Watson GB, Sparks TC. Nicotinic acetylcholine receptors as spinosyn targets for insect pest management. In: Advances in insect physiology. Elsevier; 2013. p. 101–210. https://doi.org/10.1016/b978-0-12-394389-7.00003-x
  70. 70. Kanno RH, Guidolin AS, Padovez FEO, Rodrigues JG, Omoto C. Fitness costs associated with spinetoram resistance in Spodoptera frugiperda is driven by host plants. J Pest Sci. 2023;96(4):1625–35.
  71. 71. Okuma DM, Bernardi D, Horikoshi RJ, Bernardi O, Silva AP, Omoto C. Inheritance and fitness costs of Spodoptera frugiperda (Lepidoptera: Noctuidae) resistance to spinosad in Brazil. Pest Manag Sci. 2018;74(6):1441–8. pmid:29239512
  72. 72. Gutiérrez-Moreno R, Mota-Sanchez D, Blanco CA, Whalon ME, Terán-Santofimio H, Rodriguez-Maciel JC, et al. Field-evolved resistance of the fall armyworm (Lepidoptera: Noctuidae) to synthetic insecticides in Puerto Rico and Mexico. J Econ Entomol. 2019;112(2):792–802. pmid:30535077
  73. 73. Wang A, Zhang Y, Liu S, Xue C, Zhao Y, Zhao M, et al. Molecular mechanisms of cytochrome P450-mediated detoxification of tetraniliprole, spinetoram, and emamectin benzoate in the fall armyworm, Spodoptera frugiperda (J.E. Smith). Bull Entomol Res. 2024;114(2):159–71. pmid:38563228
  74. 74. Wang H-H, Zhao R, Gao J, Zhang L, Zhang S, Liang P, et al. Genetic architecture and insecticide resistance in Chinese populations of Spodoptera frugiperda. J Pest Sci. 2022;96(4):1595–610.
  75. 75. Muraro DS, de Oliveira Abbade Neto D, Kanno RH, Kaiser IS, Bernardi O, Omoto C. Inheritance patterns, cross-resistance and synergism in Spodoptera frugiperda (Lepidoptera: Noctuidae) resistant to emamectin benzoate. Pest Manag Sci. 2021;77(11):5049–57. pmid:34216515
  76. 76. Shi Y, He L, Ding W, Huang H, He H, Xue J, et al. Function analysis of CYP321A9 from Spodoptera frugiperda (Lepidoptera: Noctuidae) associated with emamectin benzoate, and a novel insecticide, cyproflanilide detoxification. J Econ Entomol. 2023;116(5):1812–9. pmid:37651729
  77. 77. Su X-N, Liao Z-X, Li C-Y, Huang S-H, Li F-B. Resistance of Spodoptera frugiperda in Guangdong against two commonly used pesticides and the effects of auxiliaries and synergist on toxicity to pesticides. 2020.
  78. 78. Shad SA, Sayyed AH, Saleem MA. Cross-resistance, mode of inheritance and stability of resistance to emamectin in Spodoptera litura (Lepidoptera: Noctuidae). Pest Manag Sci. 2010;66(8):839–46. pmid:20603880
  79. 79. Che W, Huang J, Guan F, Wu Y, Yang Y. Cross-resistance and Inheritance of Resistance to Emamectin Benzoate in Spodoptera exigua (Lepidoptera: Noctuidae). J Econ Entomol. 2015;108(4):2015–20. pmid:26470348
  80. 80. Ishtiaq M, Razaq M, Saleem MA, Anjum F, ul Ane MN, et al. Stability, cross-resistance and fitness costs of resistance to emamectin benzoate in a re-selected field population of the beet armyworm, Spodoptera exigua (Lepidoptera: Noctuidae). Crop Protection. 2014;65:227–31.
  81. 81. Gao M, Mu W, Wang W, Zhou C, Li X. Resistance mechanisms and risk assessment regarding indoxacarb in the beet armyworm, Spodoptera exigua. Phytoparasitica. 2014;42:585–94.
  82. 82. Shi L, Shi Y, Zhang Y, Liao X. A systemic study of indoxacarb resistance in Spodoptera litura revealed complex expression profiles and regulatory mechanism. Sci Rep. 2019;9(1):14997. pmid:31628365
  83. 83. Hafeez M, Li X, Ullah F, Zhang Z, Zhang J, Huang J, et al. Characterization of indoxacarb resistance in the fall armyworm: selection, inheritance, cross-resistance, possible biochemical mechanisms, and fitness costs. Biology (Basel). 2022;11(12):1718. pmid:36552228
  84. 84. Hou W-T, Staehelin C, Elzaki MEA, Hafeez M, Luo Y-S, Wang R-L. Functional analysis of CYP6AE68, a cytochrome P450 gene associated with indoxacarb resistance in Spodoptera litura (Lepidoptera: Noctuidae). Pestic Biochem Physiol. 2021;178:104946. pmid:34446184
  85. 85. Zhang X, Zhang R, Yu M, Liu R, Liu N, et al. Identification and detection of the V1848I indoxacarb resistance mutation in the beet armyworm, Spodoptera exigua. Pestic Biochem Physiol. 2024;:105991.
  86. 86. Mokbel E-SMS, Moustafa MAM, Alfuhaid NA, Fouad EA. Characterization of Spodoptera littoralis (Lepidoptera: Noctuidae) resistance to indoxacarb: inheritance mode, realized heritability, and fitness costs. J Econ Entomol. 2024;117(2):618–28. pmid:38377139
  87. 87. Tong H, Su Q, Zhou X, Bai L. Field resistance of Spodoptera litura (Lepidoptera: Noctuidae) to organophosphates, pyrethroids, carbamates and four newer chemistry insecticides in Hunan, China. J Pest Sci (2004). 2013;86(3):599–609. pmid:23970847
  88. 88. Abo-Elghar GE, Fujiyoshi P, Matsumura F. Significance of the sulfonylurea receptor (SUR) as the target of diflubenzuron in chitin synthesis inhibition in Drosophila melanogaster and Blattella germanica. Insect Biochem Mol Biol. 2004;34(8):743–52. pmid:15262279
  89. 89. Dhadialla TS, Carlson GR, Le DP. New insecticides with ecdysteroidal and juvenile hormone activity. Annu Rev Entomol. 1998;43:545–69. pmid:9444757
  90. 90. Garlet CG, Moreira RP, Gubiani P da S, Palharini RB, Farias JR, Bernardi O. Fitness cost of chlorpyrifos resistance in Spodoptera frugiperda (Lepidoptera: Noctuidae) on different host plants. Environ Entomol. 2021;50(4):898–908. pmid:34018549
  91. 91. Garlet CG, Gubiani P da S, Palharini RB, Moreira RP, Godoy DN, Farias JR, et al. Field-evolved resistance to chlorpyrifos by Spodop tera frugiperda (Lepidoptera: Noctuidae): inheritance mode, cross-resistance patterns, and synergism. Pest Manag Sci. 2021;77(12):5367–74. pmid:34310024
  92. 92. do Nascimento ARB, Rodrigues JG, Kanno RH, de Amaral FSAE, Malaquias JB, Silva-Brandão KL, et al. Susceptibility monitoring and comparative gene expression of susceptible and resistant strains of Spodoptera frugiperda to lambda-cyhalothrin and chlorpyrifos. Pest Manag Sci. 2023;79(6):2206–19. pmid:36750418
  93. 93. Khan S, Uddin M, Rizwan M, Khan W, Farooq M, Sattar Shah A, et al. Mechanism of insecticide resistance in insects/pests. Pol J Environ Stud. 2020;29(3):2023–30.
  94. 94. Bernard CB, Philogène BJ. Insecticide synergists: role, importance, and perspectives. J Toxicol Environ Health. 1993;38(2):199–223. pmid:8433403
  95. 95. Armes NJ, Wightman JA, Jadhav DR, Ranga Rao GV. Status of insecticide resistance in Spodoptera liturain Andhra Pradesh, India. Pestic Sci. 1997;50(3):240–8.
  96. 96. Usmani KA, Knowles CO. Toxicity of pyrethroids and effect of synergists to larval and adult Helicoverpa zea, Spodoptera frugiperda, and Agrotis ipsilon (Lepidoptera: Noctuidae). J Econ Entomol. 2001;94(4):868–73. pmid:11561845
  97. 97. Khan HAA, Akram W. Trichlorfon and spinosad resistance survey and preliminary determination of the resistance mechanism in Pakistani field strains of Bactrocera dorsalis. Sci Rep. 2018;8(1):11223. pmid:30046059
  98. 98. Khan HAA. Variation in susceptibility to insecticides and synergistic effect of enzyme inhibitors in Pakistani strains of Trogoderma granarium. J Stored Prod Res. 2021;91:101775.
  99. 99. Khan HAA, Akram W, Ali S. Activities of select enzymes involved in insecticide resistance in spinosad-resistant and -susceptible strains of Musca domestica (Diptera: Muscidae). J Med Entomol. 2020;57(2):620–2. pmid:31589744
  100. 100. Khan HAA, Akram W, Shad SA. Genetics, cross-resistance and mechanism of resistance to spinosad in a field strain of Musca domestica L. (Diptera: Muscidae). Acta Trop. 2014;130:148–54. pmid:24262668
  101. 101. Jin Y, Liu Y, Gao Y, Zhao H, Xiao H, Li J, et al. Detoxification enzymes associated with flupyradifurone resistance in greenhouse whitefly. J Appl Entomol. 2023;147(8):630–40.
  102. 102. Khan HAA. Long-term impact of rearing substrates on susceptibility to insecticides and metabolic enzyme activities in the house fly Musca domestica. Parasitol Res. 2024;123(3):157. pmid:38459281
  103. 103. Dawkar VV, Chikate YR, Lomate PR, Dholakia BB, Gupta VS, Giri AP. Molecular insights into resistance mechanisms of lepidopteran insect pests against toxicants. J Proteome Res. 2013;12(11):4727–37. pmid:24090158