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23 September 2021 Trapping Soybean Looper (Lepidoptera: Noctuidae) in the Southeastern USA and Implications for Pheromone-Based Research and Management
Daniel E. Fleming, Jeffrey A. Davis, Fred R. Musser, Silvana V. Paula-Moraes, Ronald C. Stephenson, Christopher A. Wheeler, Earl-Eugene Ringpis, Tyler S. Crum, J. Khai Tran
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Novel strategies for the management of soybean looper, Chrysodeixis includens (Walker) (Lepidoptera: Noctuidae), are needed due to its increasing importance, costs, and challenges of management in soybeans (Glycine max [L.] Merr.; Fabaceae) in the Americas. Pheromone-mediated mating disruption may be 1 such novel strategy, but an effective tool for estimating mating disruption success must be found. The technique of trapping male moths using pheromone baited traps is a common method for assessing mating disruption technology. This paper reports on the testing of 2 trap types and 3 commercially available lures containing (Z)-7-dodecenyl acetate as the major active component. Trapping was conducted at 5 locations in the southern USA in the summer of 2019. Universal moth traps and delta traps were tested in combination with the Alpha Scents, Bio Pseudoplusia, and Scentry brand lures along with unbaited traps. Overall, both trap types were effective at capturing C. includens male moths, with universal traps having a higher capture rate. The Alpha Scents and Bio Pseudoplusia lures both had a significantly higher capture rate than the Scentry lure regardless of trap design. The active components of the Scentry lure differed from the others with the inclusion of 2 known minor pheromone components (esters) of C. includens, (Z)-7-dodecenyl propionate and (Z)-7-dodecenyl butyrate. The amount of (Z)-7-dodecenyl acetate of the Scentry lure also was lower than the Alpha Scents and Bio Pseudoplusia lures. The additional esters or unidentified components (impurities) of the Scentry lures may have influenced C. includens captures. A large number of Ctenoplusia oxygramma (Geyer) (Lepidoptera: Noctuidae) were captured in traps at 3 of the locations, though not in those traps baited with the ester-containing Scentry lure. Taken together, the data provide insight into effective trapping methods for C. includens and elucidates the need for researchers to understand the effectiveness of trapping components available in a region and the need for researchers to plan for captures of non-target species in pheromone-related research.

The soybean looper, Chrysodeixis includens (Walker) (Lepidoptera: Noctuidae) is a common pest of soybean, Glycine max (L.) Merr. (Fabaceae), and other crops in the Americas and Australia (CABI 2020). Larvae feed on soybean foliage and often cause sufficient defoliation to require insecticide application. Damage losses and management costs of C. includens in the USA were estimated to be $56.8 million in 2019, which included the majority of the range where C. includens is considered a pest in the USA (Musser et al. 2020). In Brazil, Argentina, Paraguay, and Uruguay, C. includens has increased its economic impact since 2000 (Bueno et al. 2017), and transgenic soybean expressing the Bacillus thuringiensis Berliner (Bacillales: Bacillaceae) (Bt) toxin Cry1Ac has been adopted commercially since the 2013/2014 crop season (Paula-Moraes et al. 2017). The Bt soybean technology has provided high levels of control (Bernardi et al. 2012). However, although this Bt soybean trait is considered a high-dose event in soybean, the risk of selecting resistant populations is still a challenge, especially due to the large area adopting this technology in South America (Brookes & Barfoot 2020). Additionally, in countries where the technology has not been released, management of C. includens with insecticides has become more difficult due to the development of insecticide resistant populations (Chiu & Bass 1979; Georghiou & Mellon 1983; Herzog 1988; Felland et al. 1990; Leonard et al. 1990; Boernel et al. 1992; Owen et al. 2013; Stacke et al. 2019, 2020). Therefore, novel approaches to its management are needed, especially with the increasing political and societal pressure to provide more ecologically sustainable pest management options due to climate change, population increases, public health, and environmental concerns.

Pheromone-mediated mating disruption of C. includens may be an option for ecologically sustainable management. Mating disruption uses synthetic pheromones to confuse male mate-finding behavior. Tumlinson et al. (1972) identified (Z)-7-dodecenyl acetate (Z7-12Ac) as a primary component of the C. includens sex pheromone used by females to call males, and Linn et al. (1987) added (Z)-7-dodecenyl propionate (Z7-12Prop) and (Z)-7-dodecenyl butyrate (Z7-12Buty) as minor but active components. Currently, there is no commercially available mating disruption product for C. includens, and there have been no published reports of the use of pheromone-mediated mating disruption of C. includens; however, Mitchell et al. (1975a) showed a 93% trap capture reduction of plusiine moths (C. includens, Ctenoplusia [Trichoplusia] oxygramma (Geyer), Trichoplusia ni [Hübner] [Lepidoptera: Noctuidae]) in plots treated with Z7-12Ac. The use of pheromone traps baited with Z7-12Ac to attract and capture male C. includens was documented over 30 yr ago (Linn et al. 1987), and there are now a few C. includens lure suppliers in the Americas. The successful use of pheromone-baited lures and evidence of trapping disruption suggest that mating disruption is a potential novel management tactic for C. includens.

One of the first steps in developing pheromone-mediated mating disruption is the assessment of available lures and traps. Mating disruption often is measured by proxy, via assessment of the reduction of male trap captures in pheromone-baited traps deployed within a field where a mating disruption formulation has been applied, as compared with captures in fields without pheromone (Mitchell & McLaughlin 1982; Filho et al. 2000; Kerns 2000; Burks et al. 2020). Pheromone trapping may be considered more consistent and labor-efficient than other methods for determining mating rates, such as egg monitoring or the use of tethered females. Therefore, an effective lure and trapping system is needed to make effective assessments of potential mating disruption technologies. Furthermore, an understanding of how species respond to partial and whole blends of pheromone, or how different geographic populations respond is important in mating disruption concepts. Linn et al. (1988) found a greater level of response of C. includens males to a 5-component pheromone blend than to a single component Z7-12Ac blend. There is evidence in some species that geographic sub-populations may respond differently to pheromone blends. Unbehend et al. (2014) reported finding different responses of Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae) populations to blends, doses, and a stereoisomer of its sex pheromone blend. Gao et al. (2020) found significant geographic variation of Helicoverpa armigera (Hübner) (Lepidoptera: Noctuidae) regarding female pheromone composition, pheromone blend effects on male capture, and antagonism of (Z)-11-hexadecenyl acetate. It is likely that commercially available lures may differ in their respective pheromone blends and, therefore, that these blends may differ in effectiveness across geographies. Therefore, lures should be tested to determine their effectiveness for unique geographies.

In addition to the need to understand the interaction of the target species with its pheromones, it is important also to consider the effects of the pheromone components on species within the subfamily Plusiinae, which has non-specific sex pheromones, and species isolation is primarily through behavioral and mechanical barriers (Eichlin & Cunningham 1978). If other taxonomically close species are very similar in appearance, are present in an area where a target species is being monitored with pheromone traps, and these species are attracted to the same pheromone lure components, then it is possible the cross attraction will compromise abundance estimation of C. includens and consequently lead to incorrect management decisions. In addition, cross-attraction can confound the results of trap capture data and confuse the outcome of mating disruption attempts. The primary pheromone component of C. includens, Z7-12Ac, has been recognized as a pheromone component in over 60 species globally, and as the primary component in 25 of these species (Pherobase 2020). It is reasonable to assume that in many geographies there are species that are taxonomically similar to C. includens and are attracted to Z7-12Ac, and therefore would be trapped in C. includens traps. For example, 3 Plusiinae species, Trichoplusia ni, Ctenoplusia (Trichoplusia) oxygramma, and Rachiplusia ou (Guenée) (Lepidoptera: Noctuidae) were collected in C. includens traps baited with “looplure” (Alford & Hammond 1982a) which is identified as containing only Z7-12Ac (NCBI 2021).

The trap being used also is important to consider and must be effective at capturing the target species. Successful trapping of C. includens has been documented with several types of traps, including electric grid traps (Tumlinson et al. 1972), pheromone-baited black light traps (Mitchell et al. 1975b), “wing” traps (Linn et al. 1987), Hartstack (wire cone) traps (Mink et al. 1993), universal moth traps (Meagher 2001), and delta traps (Zulin et al. 2018). These studies indicated that C. includens can be trapped effectively using many commercially available trap configurations; however, some practical factors of trap type for the purpose of mating disruption monitoring must be considered. Traps used for mating disruption field-experiments and commercial-scale monitoring need to be cheap or reusable, create a minimal footprint in the agricultural landscape, and be maintained easily by commercial sales teams or growers. This limits the options to delta traps and universal moth traps. However, a further consideration is the number of moths a trap can capture. Although delta traps have been shown to be effective, are reusable (by having a replaceable sticky capture surface), and are relatively cheap, they are limited by the area of the sticky surface which can become less sticky as moth (or other insect) captures increase, or as dust and debris are blown into them. Universal moth traps share the same positive practical characteristics as delta traps but have a larger reservoir for holding captured moths, would be less influenced by wind-blown dust and debris, and decrease escape of captured moths when using killing strips.

In the present study, we evaluated commercially available trap and lure options for C. includens. The aim of the study was to determine if trap design or lure affect capture rates of C. includens and if the effect varies across locations. Additionally, we report the capture of other species.

Materials and Methods


Five trial sites were selected in the southern USA in 2019. Two trials were conducted in Louisiana, USA, 1 at the Louisiana State University Ag Center Central Research Station, Ben Hur, Louisiana, USA (LA-Ben Hur; 30.3687083°N, 91.1667527°W) and the other at the H. Rouse Caffey Rice Research Station, Crowley, Louisiana, USA (LA-Crowley; 30.2329806°N, 92.3783306°W). Two trials were conducted in Mississippi, USA, 1 at the Mississippi State University MAFES R.R. Foil Plant Science Research Center in Starkville, Mississippi, USA (MS-Starkville; 33.4777667°N, 88.7857917°W) and 1 at a commercial farm in Kiln, Mississippi, USA (MS-Kiln; 30.5076833°N, 89.3914278°W). One trial was conducted in Florida at a commercial peanut farm in Jay, Florida, USA (FL-Jay; 30.7770583°N; 87.1404000°W).


Traps used in the trials were Scentry LP delta traps equipped with Scentry LPD liners (Scentry Biologicals, Inc., Billings, Montana, USA) and green bucket traps (often called universal moth traps or uni-traps; International Pheromone Systems, Ltd., Wallasey, United Kingdom) equipped with Hercon vaportape (Hercon Environmental, Emigsville, Pennsylvania, USA) as a killing agent. Chrysodeixis includens pheromone lures used in the trial were the Alpha Scents Soybean Looper lure (Alpha Scents, Inc., West Linn, Oregon, USA), the Scentry Soybean Looper lure (Scentry Biologicals, Inc., Billings, Montana, USA), and the Bio Pseudoplusia lure (Bio Controle, Indaia-tuba, São Paulo, Brazil). Traps were placed on 1.4 m Trècè Pherocon Japanese beetle trap stands (Trècè, Inc., Adair, Oklahoma, USA) prior to the expected seasonal migration of C. includens to the areas. The LA-Ben Hur, LA-Crowley, and MS-Starkville trials were set up along the borders of soybeans on university research stations. The MS-Kiln trial was set up within a field of commercial soybeans. The FL-Jay trial was set up along the borders of a field of commercial peanuts. Traps were placed at least 30 m apart. Alpha Scents and Scentry lures were used in traps at all 5 locations. Due to limited availability and delays of shipment arrivals, the Bio Pseudoplusia lures were used only at the FL-Jay, MS-Starkville, and LA-Ben Hur locations. Bio Pseudoplusia lures were used for the entirety of the FL-Jay trial, and were installed in the MS-Starkville trial on 31 Jul 2019 and in the LA-Ben Hur trial on 2 Aug 2019. Lures were replaced every 2 wk. Plastic gloves were worn and changed between traps to prevent cross-contamination of lures on traps. Scentry LPD liners were replaced at each evaluation or as needed. Hercon vaportape was placed in the universal traps and replaced monthly. In addition to lure baited traps, traps without lures were used. Each trap and lure combination was replicated 4 times and randomized at each location. Traps were monitored once or twice weekly depending on the location and moth populations. GPS locations of all traps were recorded.


Specimens collected at the LA-Ben Hur and LA-Crowley trials were identified using the key to moths commonly found in USA soybean fields (Herzog 1980). Identified species were compared with specimens in the Louisiana State Arthropod Museum, Baton Rouge, Louisiana, USA ( to confirm identification. Specimens collected at the MS-Kiln and MS-Starkville locations were identified according to characteristics of wings including darker coloration of the forewings in comparison with hindwings and the presence of irregular silvery white spots on forewings (Carter & Gillett-Kaufman 2017). Identification was assisted by comparison to reference samples in the Mississippi State University Entomological Museum, Mississippi State, Mississippi, USA ( and by the Handbook of Soybean Insect Pests (Boernel & Higley 1994). In Florida, the identification of specimens of Plusiinae was performed initially by observing differences in marks and coloration on the forewings following Lafontaine and Poole (1991). Samples of specimens with similar wing pattern were submitted to male genitalia dissection adapting method from Pogue (2004) and used as reference material.


Prior to analyses, data were converted to the number of moths captured per night to account for irregularities between evaluation timings. To account for correlations due to proximity in space and time, moth counts were treated as Poisson random variables with the log Poisson rate being the sum of relevant Gaussian Processes across space (km) and time (d) (Neal 1998). There were 11 such Gaussian Processes, each with different mean and covariance matrices (1 for each treatment effect: 2 trap effects, 3 lure effects, and 6 interactions). Because trapping occurs over a period rather than a point in time, a discrete approximation was used: midpoints of the periods were used as the dates, and the Poisson rates were multiplied by the lengths of the periods. The squared exponential kernel was used in each case, with a separate scale parameter for each distance dimension. A full Bayesian approach was used to estimate the effects, as well as the Gaussian Process hyperparameters and latent values. Markov Chain Monte Carlo was performed in MATLAB (MATLAB, 2020. version 9.9 [R2020b], Mathworks, Natick, Massachusetts, USA) using a custom slice-within-Gibbs sampling algorithm (Geman & Geman 1984; Neal 2003) to draw 10,000 samples (40 chains of 250) from the posterior distribution after a burn-in of 2,750 and thinning by accepting 1 out of 100 for each chain; some serial correlation remained, rendering the effective sample size smaller than 10,000 independent samples.

Gas Chromatography/Mass Spectrometry/Flame Ionizing Detection

The active ingredient constituents of the lures were positively identified using coupled gas chromatography/mass spectrometry and were quantified with flame ionizing detection. Lures were extracted individually in vials containing 3 mL of 1 mg per mL C14FAME internal standards in hexanes. Samples were agitated with a vortex, and aliquots of the hexane layer were filtered into gas chromatography vials for analysis. Extracts were analyzed on a Hewlett Packard 6790 series gas chromatograph (Agilent Technologies, Santa Clara, California, USA) that was equipped with a capillary column (HP-INNOWAX, 30 m × 0.25 mm × 0.25 µm film; J&W Scientific, Folsom, California, USA) connected to an Agilent 5973N series mass selective detector (Agilent Technologies, Santa Clara, California, USA). The gas chromatography injection port was set to 240 °C. The column temperature was held at 125 °C for 3 min, then increased to 215 °C at 3 °C per min, and then to 240 °C at 25 °C per min, and held for 30 min. Helium (99.999%) was used as the carrier gas at 1.5 mL per min, and samples were injected at a ratio of 20:1 to prevent oversaturation of peaks. Samples also were analyzed using gas chromatography-flame ionizing detection equipped with an HP-88 column (60 m × 0.25 mm × 0.2 µm film; J&W Scientific, Folsom, California, USA). Samples were injected with a 20:1 split ratio at 240 °C, with helium as the carrier gas at 1.2 mL per min and a temperature program of a 100 °C hold for 1 min, then a 3 °C per min ramp to 240 °C, and a hold for 12.33 min. Pheromone active ingredients were tentatively identified by matches with the NIST 2005 mass spectral database (Kramida et al. 2020) before being confirmed.



There were a total of 11,278 C. includens moths captured and identified; populations varied between locations by the timing of peak and overall captures (Fig. 1). The timing of peak captures ranged from mid-Jul at the MS-Kiln location to mid-Sep at the FL-Jay location. Highest overall peak captures occurred at the FL-Jay location (about 10 moths per night per trap), and lowest overall peak captures occurred at the MS-Starkville location (about 2 moths per night per trap). Ranking of trap and lure combinations was relatively consistent across locations; therefore, data are reported as the average over all locations.

All trap and pheromone lure combinations caught significantly more moths than unbaited traps (Table 1). Alpha Scents, Bio Pseudoplusia, and Scentry lures all showed high likelihood of greater trap amplification in universal traps than in delta traps (99.9%, 97.8%, and 99.4% chance, respectively, where amplification was relative to non-baited traps) (Table 2). Thus, in both trap types, the Bio Pseudoplusia lure was more likely to have a higher daily trap capture rate than Alpha Scents. Additionally, there was high confidence of Scentry having the lowest daily trap capture rate relative to the other lures, regardless of trap type (Table 2). Universal traps had a higher daily trap capture rate than the delta traps for all 3 lure types (Tables 1, 2). The unbaited delta trap caught more moths than the unbaited universal trap (Tables 1, 2).

There were 1,294 non-target moths recorded across all locations, with the vast majority (832) identified as C. oxygramma, and they were recorded only from the Louisiana and Florida locations. Other non-target moths captured were Helicoverpa zea (Boddie) (Lepidoptera: Noctuidae) (38), S. frugiperda (19), Spodoptera ornithogalli (Guenée) (Lepidoptera: Noctuidae) (89), T. ni (88), Anticarsia gemmatalis (Hübner) (Lepidoptera: Erebidae) (143), Chloridea (Heliothis) virescens (F.) (Lepidoptera: Noctuidae) (53), and Hypena scabra (F.) (Lepidoptera: Erebidae) (6).

Populations of C. oxygramma varied between locations by both the number captured and timings of peak captures (Fig. 2). The timing of peak trap captures ranged from mid-Jul at the LA-Ben Hur and LA-Crowley locations to mid-Sep at the FL-Jay location. Highest overall peak trap captures occurred at the FL-Jay location (about 5 moths per night per trap), and lowest overall peak captures occurred at the LA-Crowley location (about 0.4 moths per night per trap). Captures of C. oxygramma were sufficient to conduct analyses for differential response to the traps and C. includens lures. Because no C. oxygramma were recorded at the 2 Mississippi locations, these locations were not included in the analysis. Alpha Scents and Bio Pseudoplusia lures captured significantly more C. oxygramma than the unbaited in both trap types; however, Scentry lures did not (Table 3). The interaction of trap and lure was significant. The most attractive combination were the universal traps with the Bio Pseudoplusia lures followed by the universal traps with the Alpha Scents lures, with the others having very little probability (Tables 3, 4). Analysis of base capture rates between unbaited trap designs was inconclusive, because only 3 C. oxygramma moths were captured in unbaited traps.


All 3 lures contained Z7-12Ac as the primary pheromone constituent (Table 5; Supplemental Figs. 1, 2); the E-isomer also was identified in comparable quantities across all lures. The Scentry lure also contained 4.6% Z7-12Prop and 2.7% Z7-12Buty. The Alpha Scents lure contained a marginal 0.4% of the Z7-12Buty but no Z7-12Prop. Identification of the propionate and butyrate esters of the Scentry lure were validated with external standards (Supplemental Figs. 3, 4; Supplemental Table 1). Additionally, the Scentry lure had a large impurity (unidentified peak 2; Supplemental Fig. 5; Table 5), while the Bio Pseudoplusia lure had the least amount of impurities (Table 5).


The number of C. includens moths captured in unbaited traps was low, but the base (without lure) capture rates were significantly higher for delta traps, indicating that accidental captures are more frequent for delta traps. The reason that any moths were captured in the unbaited traps is unclear. A possible explanation may be related to the sex of the moths that were captured. The majority of the moths in this study were not sexed, so it is plausible that some of those captured could have been females orienting to possible oviposition sites. The use of non-preferred oviposition sites has been documented in Lepidoptera (Jaumann & Snell-Rood 2017), and particularly in S. frugiperda (Gonçalves et al. 2020). Another explanation for capture in unbaited traps may be due to design differences, particularly the larger entrances into the delta trap. Moths that may be visually attracted to delta traps or incidentally fly through them can easily encounter the sticky pad and would not be able to escape. Moths encountering the universal traps would not be captured unless more directed orientation behaviors led them to fall through the funnel into the bucket. The white color of the delta traps versus the green color of the universal traps also may be more incidentally attractive due to its contrast against background colors. Although it is unclear if C. includens responds to trap color, S. frugiperda and A. gemmatalis have been shown to respond differentially to variations in the color scheme of universal moth traps (Mitchell et al. 1989). Although the proclivity for behaviors leading to incidental captures is unknown, it is important to understand base capture rates in pheromone-mediated mating disruption trials. If the mating disruption itself does not affect base capture rate, a trap with a high base capture rate would show a lower rate of disruption than a trap with a low capture rate and would therefore lead to artificially low assumptions of mating disruption. Trials with C. includens trapping, especially where mating disruption is being tested, should measure the base capture rate of moths and determine the sex of moths captured to help eliminate this area of uncertainty.

Fig. 1.

Mean number of Chrysodeixis includens male moths captured at each of 5 trial locations. Note: Bio Pseudoplusia lures were not used at the LA-Crowley or MS-Kiln locations, were installed at the LA-Ben Hur location on 2 Aug 2019 and at the MS-Starkville location on 31 Jul 2019, and were installed at the FL-Jay location for the entire trial period.


Both trap types appeared to perform well within the population densities that occurred, and although delta traps exhibited a higher base trap capture rate (without lure), baited universal traps exhibited a higher trap capture rate than delta traps for all lures tested. Capture rates of C. includens using different types of traps has not been studied with pheromone lures. However, Whitfield et al. (2019) showed that universal and bucket type traps captured significantly more noctuids than delta or other sticky-type traps, and theorized that the reason for this is the difference in maximum capacity. Universal moth traps have large reservoirs that could potentially retain hundreds of moths, whereas the sticky surface of delta traps would become less effective at retaining captures as moths and debris accumulate, thereby reducing the sticky surface area. Regardless of the reason for higher capture rates with universal traps in this study, both trap types were consistently effective at capturing moths. However, the maximum capture capacity of a trap design must be considered for locations where C. includens populations are larger or where there may be long periods between trap evaluations.

Table 1.

Estimated daily trap capture rate (median and central 95% credible interval based on marginal posterior distribution) of Chrysodeixis includens captured in pheromone traps in 2019 across locations in Florida, Louisiana, and Mississippi.


Our data indicated a strong influence of lure type on capture rate of C. includens. Bio Pseudoplusia and Alpha Scents lures had higher daily trap capture rates than Scentry lures, regardless of trap type. The lower purity of Z7-12 acetate and inclusion of the Z7-12 propionate and butyrate esters in Scentry may have contributed to this lower C. includens trap count. Therefore, it is possible also that the inclusion of the marginal 0.39% butyrate in the Alpha Scents lure, while not improving trap count, may not have been at a quantity large enough to create a significant decrease in attraction witnessed in the Scentry lures (though it was a marginally lower trap capture rate compared with the completely ester-free Bio Pseudoplusia lure). A negative effect from the esters is surprising, however, as they have been collected in the effluvia of calling females (Linn et al. 1987) and have been shown to increase attraction in a flight tunnel and some field trapping trials (Linn et al. 1988). Another explanation for the low trap captures of the Scentry lure may be unidentified peak 2. It may have an antagonistic effect on C. includens.

The total mass of each active ingredient was quantified in the lure extracts; however, no conclusions can be drawn on the overall release rate or active ingredient load of the lures. The extraction methods likely did not recover all active ingredients from the lures, or they may have extracted different amounts due to the physical design of the lures. Scentry and Alpha Scents were rubber septa, while Bio Pseudoplusia was a flat rubber disk.

Table 2.

Estimated probability of the combination of lure and trap (row) having higher daily trap capture rate of Chrysodeixis includens male moths compared to other combinations (columns) from trials across Florida, Louisiana, and Mississippi in 2019.


Table 3.

Estimated daily trap capture rate (median and central 95% credible interval based on the marginal posterior distribution) of Ctenoplusia oxygramma captured in pheromone traps in 2019 across locations in Florida, Louisiana, and Mississippi.


Our study revealed C. oxygramma as a prevalent species cross-attracted during the trapping of C. includens in the Louisiana and Florida locations. This cross-attraction was expected because taxonomically close Plusiinae share the same main pheromone component, Z7-12Ac (Landolt & Heath 1986), C. oxygramma has been trapped in C. includens trapping trials in Louisiana (Alford & Hammond 1982b), and the use of Z7-12Ac for mating disruption has been shown to cause reduced trap captures of C. oxygramma (Mitchell et al. 1975a). The Bio Pseudoplusia lure had a slightly higher capture rate than the Alpha Scents lure, and both had significantly higher capture rates than Scentry. Similar to that previously discussed with C. includens, this likely may be due to differences in the components of the lures. The propionate and butyrate present in the Scentry lure and the marginal amount of butyrate in the Alpha Scents lure may serve as antagonists to C. oxygramma, contributing to better species specificity.

The frequent capture of C. oxygramma shows the importance of cross-attraction and non-target captures by pheromone traps. Chrysodeixis includens moths are difficult to distinguish from other Plusiinae moths that were present at the trial locations. Non-target captures that have superficial morphological similarities, e.g., C. oxygramma and T. ni, could be confused easily by untrained trap monitoring personnel, or due to moths losing some of the key superficial characteristics from degradation in traps between evaluations. When C. includens populations are high, the number of non-target captures may be of minor concern unless other morphologically similar species populations also increase, but in low C. includens populations, non-target captures that are incorrectly identified as C. includens could impact the results of trials significantly if there are relatively large numbers of misidentified, non-target species captured. The substantial inclusion of esters (together totally 9.4% relative to Z7-12Ac) in the Scentry product, while decreasing the overall catch of C. includens, may be more appropriate for environments where sizable non-target captures of C. oxygramma are possible. These results elucidate the need for researchers to be aware of the possibilities of other species being captured in traps, and ensure that the personnel counting moths are aware of this and take the appropriate steps to ensure the non-target species are accounted for in the data. This is especially relevant for the taxonomic group of Plusiinae.

Fig. 2.

Mean number of Ctenoplusia oxygramma male moths captured at each of 3 trial locations where they were recorded as present. Note: Bio Pseudoplusia lures were not used at the LA-Crowley location, were installed at the LA-Ben Hur location on 2 Aug 2019, and were installed at the FL-Jay location for the entire trial period.


Table 4.

Estimated probability of the combination of lure and trap (row) having higher daily trap capture rate of Ctenoplusia oxygramma male moths compared to other combinations (columns) from trapping trials across Florida, Louisiana, and Mississippi in 2019.


The authors acknowledge that under ideal circumstances a second yr of data may have expanded results and highlighted any variations occurring across seasons that alter trapping efficiencies. However, due to the COVID-19 pandemic, the ability to conduct such research was in question at the time of 2020 trial planning. Similar trials were conducted later in 2020 in Brazil and other related-pheromone work is currently planned.

In summary, this study indicated that delta and universal traps are effective methods for capturing C. includens moths, and that the Alpha Scents and Bio Pseudoplusia lures are the most effective pheromone attractants available for C. includens moths in the southeastern USA. Additionally, C. oxygramma is a common non-target species that is captured in substantial numbers unless employing the Scentry lure. The results of these studies provide insight into important considerations for researchers conducting pheromone-based research and insect management.

Table 5.

Profiles of Scentry, Alpha Scents, and Bio Pseudoplusia lures used in the trapping trials.



The authors wish to thank Phillip Barn for help in trapping in Florida, Brina Breaux and Brian Breaux for allowing access to their soybean production field, as well as sampling assistance throughout this study, and Provivi®, Inc., for funding the study. Mention of trade names does not imply recommendation or endorsement, and is merely for clearer understanding of the study process.

References Cited


Alford AR, Hammond AM. 1982a. Looplure efficacy and electrophysiological responses in three plusiinae species. Journal of Chemical Ecology 8: 1455–1462. Google Scholar


Alford RA, Hammond AM. 1982b. Plusiinae (Lepidoptera: Noctuidae) populations in Louisiana soybean ecosystems as determined with Looplure-baited traps. Journal of Economic Entomology 75: 647–650. Google Scholar


Bernardi O, Malvestiti GS, Dourado PM, Oliveira WS, Martinelli S, Berger GU, Head GP, Omoto C. 2012. Assessment of the high-dose concept and level of control provided by MON 87701 × MON 89788 soybean against Anticarsia gemmatalis and Pseudoplusia includens (Lepidoptera: Noctuidae) in Brazil. Pest Management Science 68: 1083–1091. Google Scholar


Boernel DJ, Higley LG. 1994. Handbook of Soybean Insect Pests. Entomological Society of America, Lanham, Maryland, USA. Google Scholar


Boernel DJ, Mink JS, Wier AT, Thomas JD, Leonard BR, Gallardo F. 1992. Management of insecticide resistant soybean loopers (Pseudoplusia includens) in the southern United States, pp. 66–87 In Copping LG, Green MB, Rees RT [eds.], Pest Management in Soybean. Springer, Dordrercht, Netherlands. Google Scholar


Brookes G, Barfoot P. 2020. GM Crops: Global Socio-economic and Environmental Impacts, 1996–2019. PG Economics Ltd., United Kingdom. (last accessed 3 Jun 2021). Google Scholar


Bueno R, Raetano C, Junior J, Carvalho F. 2017. Integrated management of soybean pests: the example of Brazil. Outlooks on Pest Management 28: 149–153. Google Scholar


Burks CS, Higbee BS, Beck JJ. 2020. Traps and attractants for monitoring navel orangeworm (Lepidoptera: Pyralidae) in the presence of mating disruption. Journal of Economic Entomology 113: 1270–1278. Google Scholar


CABI – Centre for Agriculture and Bioscience International. 2020. Plantwise Knowledge Bank - Soybean looper (last accessed 3 Jun 2021). Google Scholar


Carter E, Gillett-Kaufman JL. 2017. Soybean looper, Chrysodeixis includens (Walker) (Insecta: Lepidoptera: Noctuidae). IFAS Extension Publication #EENY-695. University of Florida, Gainesville, Florida, USA. (last accessed 3 Jun 2021). Google Scholar


Chiu PS-B, Bass MH. 1979. Soybean looper control on soybeans, 1975–76. Insecticide and Acaricide Tests 4: 156–158. Google Scholar


Eichlin TD, Cunningham HB 1978. The Plusiinae (Lepidoptera: Noctuidae) of America north of Mexico, emphasizing genitalic and larval morphology. Technical Bulletin 158098. US Department of Agriculture, Washington, DC, USA. Google Scholar


Felland CM, Pitre HN, Luttrell RG, Hamer JL. 1990. Resistance to pyrethroid insecticides in soybean looper (Lepidoptera: Noctuidae) in Mississippi. Journal of Economic Entomology 83: 35–40. Google Scholar


Filho MM, Vilela EF, Jham GN, Attygalle A, Svatos A, Meinwald J. 2000. Initial studies of mating disruption of the tomato moth, Tuta absoluta (Lepidoptera: Gelechiidae) using synthetic sex pheromone. Journal of the Brazilian Chemical Society 11: 621–628. Google Scholar


Gao K, Torres-Vila LM, Zalucki MP, Li Y, Griepink F, Heckel DG, Groot AT. 2020. Geographic variation in sexual communication in the cotton bollworm, Helicoverpa armigera. Pest Management Science 76: 3596–3605. Google Scholar


Geman S, Geman D. 1984. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI-6: 721–741. Google Scholar


Georghiou GP, Mellon RB. 1983. Pesticide resistance in time and space, pp. 1–46 In Georghiou GP, Saito T [eds.], Pest Resistance to Pesticides. Springer, Boston, Massachusetts, USA. Google Scholar


Gonçalves J, Rodrigues JVC, Santos-Amaya OF, Paula-Moraes SV, Pereira EJG. 2020. The oviposition behavior of fall armyworm moths is unlikely to compromise the refuge strategy in genetically modified Bt crops. Journal of Pest Science 93: 965–977. Google Scholar


Herzog DC. 1980. Sampling soybean looper in soybean, pp. 141–168 In Kogan M, Herzog DC [eds.], Sampling Methods in Soybean Entomology. Springer-Verlag, New York, USA. Google Scholar


Herzog G. 1988. Performance of pyrethroids in the southeastern region of the cotton belt, pp. 231–232 In Duggar CP, Richter DA [eds.], Beltwide Cotton Production Research Conferences (USA), 5–8 Jan 1988. New Orleans, Louisiana, USA. (abstract) Google Scholar


Jaumann S, Snell-Rood EC. 2017. Trade-offs between fecundity and choosiness in ovipositing butterflies. Animal Behaviour 123: 433–440. Google Scholar


Kerns DL. 2000. Mating disruption of beet armyworm (Lepidoptera: Noctuidae) in vegetables by a synthetic pheromone. Crop Protection 19: 327–334. Google Scholar


Kramida A, Ralchenko Y, Reader J, Team NA. 2020. NIST Atomic Spectra Database. National Institute of Standards and Technology, Gaithersburg, Maryland, USA. (last accessed 3 Jun 2021). Google Scholar


Lafontaine JD, Poole RW. 1991. Noctuoidea, Noctuidae (part), Plusiinae, Fascicle 25.1 In Hodges RW, Hodges ER, Dominick RB, Edwards CR [eds.], The Moths of America North of Mexico Including Greenland. The Wedge Entomological Research Foundation, Washington, DC, USA. Google Scholar


Landolt PJ, Heath RH. 1986. A sex attractant synergist for Trichoplusia oxygramma (Lepidoptera: Noctuidae). Florida Entomologist 69: 425–426. Google Scholar


Leonard RB, Boernel DJ, Sparks AN, Layton BM, Mink JS, Pavloff AM, Burris E, Graves JB. 1990. Variations in response of soybean looper (Lepidoptera: Noctuidae) to selected insecticides in Louisiana. Journal of Economic Entomology 83: 27–34. Google Scholar


Linn C, Hammond A, Du J, Roelofs W. 1988. Specificity of male response to multi-component pheromones in noctuid moths Trichoplusia ni and Pseudoplusia includens. Journal of Chemical Ecology 14: 47–57. Google Scholar


Linn CE, Du J, Hammond A, Roelofs WL. 1987. Identification of unique pheromone components for soybean looper moth Pseudoplusia includens. Journal of Chemical Ecology 13: 1351–1360. Google Scholar


Meagher RL. 2001. Collection of soybean looper and other noctuids in phenylacetaldehyde-baited field traps. Florida Entomologist 84: 154–155. Google Scholar


Mink JS, Boernel DJ, Leonard BR. 1993. Monitoring permethrin resistance in soybean looper (Lepidoptera: Noctuidae) adults. Journal of Entomological Science 28: 43–50. Google Scholar


Mitchell ER, McLaughlin JR. 1982. Suppression of mating and oviposition by fall armyworm and mating by corn earworm in corn using the air permeation technique. Journal of Economic Entomology 75: 270–274. Google Scholar


Mitchell ER, Jacobson M, Baumhover AH. 1975a. Heliothis spp.: disruption of pheromonal communication with (Z)-9-tetradecen-1-ol formate. Environmental Entomology 4: 577–579. Google Scholar


Mitchell ER, Agee HR, Heath RR. 1989. Influence of pheromone trap color and design on capture of male velvetbean caterpillar and fall armyworm moths (Lepidoptera: Noctuidae). Journal of Chemical Ecology 15: 1775–1784. Google Scholar


Mitchell ER, Chalfant RB, Greene GL, Creighton CS. 1975b. Soybean looper: populations in Florida, Georgia, and South Carolina, as determined with pheromone-baited BL Traps. Journal of Economic Entomology 68: 747–750. Google Scholar


Musser F, Catchot A, Conley S, Davis J, Difonzo C, Greene J, Lorenz G, Owens D, Reisig D, Roberts P, Royer T, Seiter N, Smith R, Stewart S, Taylor S, Tilmon K, Villanueva R, Way M. 2020. 2019 soybean insect losses in the United States. Midsouth Entomologist 13: 1–23. Google Scholar


NCBI – National Center for Biotechnology Information. 2021. PubChem Compound Summary for CID 5363527, Looplure. (last accessed 3 Jun 2021). Google Scholar


Neal R. 1998. Regression and classification using Gaussian process priors, pp. 1–12 In Bernardo J, Berger J, Dawid A, Smith A [eds.], Bayesian Statistics. Oxford University Press, New York, USA. Google Scholar


Neal RM. 2003. Slice sampling. The Annals of Statistics 31: 705–767. Google Scholar


Owen LN, Catchot AL, Musser FR, Gore J, Cook DC, Jackson R. 2013. Susceptibility of Chrysodeixis includens (Lepidoptera: Noctuidae) to reduced-risk insecticides. Florida Entomologist 96: 554–559. Google Scholar


Paula-Moraes SV, Silva FMdA, Specht A. 2017. Options and challenges for pest control in intensive cropping systems in tropical regions, pp. 18–32 In Rapisarda C, Cocuzza GEM [eds.], Integrated Pest Management in Tropical Regions. CABI, Wallingford, United Kingdom. Google Scholar


Pherobase. 2020. Semiochemical - Z7-12Ac (last accessed 21 Jun 2021). Google Scholar


Pogue MG. 2004. A new synonym of Helicoverpa zea (Boddie) and differentiation of adult males of H. zea and H. armigera (Hübner) (Lepidoptera: Noctuidae: Heliothinae). Annals of the Entomological Society of America 97: 1222–1226. Google Scholar


Stacke RF, Giacomelli T, Bronzatto ES, Halberstadt SA, Garlet CG, Muraro DS, Guedes JVC, Bernardi O. 2019. Susceptibility of Brazilian populations of Chrysodeixis includens (Lepidoptera: Noctuidae) to selected insecticides. Journal of Economic Entomology 112: 1378–1387. Google Scholar


Stacke RF, Godoy DN, Pretto VE, Führ FM, Gubiani PdS, Hettwer BL, Garlet CG, Somavilla JC, Muraro DS, Bernardi O. 2020. Field-evolved resistance to chitin synthesis inhibitor insecticides by soybean looper, Chrysodeixis includens (Lepidoptera: Noctuidae), in Brazil. Chemosphere 259: 127499. Google Scholar


Tumlinson JH, Mitchell ER, Browner SM, Lindquist DA. 1972. A sex pheromone for the soybean looper. Environmental Entomology 1: 466–468. Google Scholar


Unbehend M, Hänniger S, Vásquez GM, Juárez ML, Reisig D, McNeil JN, Meagher RL, Jenkins DA, Heckel DG, Groot AT. 2014. Geographic variation in sexual attraction of Spodoptera frugiperda corn- and rice-strain males to pheromone lures. PLoS ONE 9: e89255. Google Scholar


Whitfield EC, Lobos E, Cork A, Hall DR. 2019. Comparison of different trap designs for capture of noctuid moths (Lepidoptera: Noctuidae) with pheromone and floral odor attractants. Journal of Economic Entomology 112: 2199–2206. Google Scholar


Zulin D, Ávila CJ, Schlick-Souza EC. 2018. Population fluctuation and vertical distribution of the soybean looper (Chrysodeixis includens) in soybean culture. American Journal of Plant Sciences 9: 1544–1556. Google Scholar
Daniel E. Fleming, Jeffrey A. Davis, Fred R. Musser, Silvana V. Paula-Moraes, Ronald C. Stephenson, Christopher A. Wheeler, Earl-Eugene Ringpis, Tyler S. Crum, and J. Khai Tran "Trapping Soybean Looper (Lepidoptera: Noctuidae) in the Southeastern USA and Implications for Pheromone-Based Research and Management," Florida Entomologist 104(3), 186-194, (23 September 2021).
Published: 23 September 2021

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