Simple Summary
Two biological control agents, Archanara neurica and Lenisa geminipuncta, are being released in Canada for the control of invasive common reed, Phragmites australis australis (hereafter Phragmites). The release of larvae implanted in cut Phragmites stems is the most reliable way to establish agents at new sites, but the number of larvae that can be used for releases is limited by the short period of time over which egg hatch occurs. We conducted a cold storage experiment to assess whether the timing of egg hatch can be manipulated without affecting hatch success. Additionally, we conducted visual assessments of developing eggs to determine whether hatch timing can be predicted based on early signs of development. Eggs hatched indoors had lower hatch rates than eggs hatched in outdoor conditions. For A. neurica and L. geminipuncta, eggs could be held in cold storage for 11 and 8 weeks, respectively, without affecting hatch rates. Eggs of both species began hatching 4–7 days after the appearance of visible signs of larval development. Manipulating the timing of hatch in A. neurica and L. geminipuncta will increase the number of larval releases that can be conducted during the spring and allow the timing of releases to be optimized.
Keywords: biocontrol, egg development, hatch timing, insect rearing, phenology
Abstract
Two biological control agents, Archanara neurica (Hübner) and Lenisa geminipuncta (Haworth) (Lepidoptera: Noctuidae), are being released in Canada for the control of invasive common reed, Phragmites australis australis (Cav.) Trin. Ex Steud (hereafter Phragmites). The release of larvae implanted in cut Phragmites stems is the most reliable way to establish agents at new sites, but the number of larvae that can be used for releases is limited by the short period of time over which egg hatch occurs. We conducted a cold storage experiment to assess whether the timing of egg hatch can be manipulated without affecting hatch success. Additionally, we conducted visual assessments of developing eggs to determine whether hatch timing can be predicted based on early signs of development. Eggs hatched indoors had lower hatch rates than eggs hatched in outdoor conditions. For A. neurica and L. geminipuncta, eggs could be held in cold storage for 11 and 8 weeks, respectively, without affecting hatch rates. Eggs of both species began hatching 4–7 days after the appearance of visible signs of larval development. Manipulating the timing of hatch in A. neurica and L. geminipuncta will increase the number of larval releases that can be conducted during the spring and allow the timing of releases to be optimized.
1. Introduction
Species introductions, intentional or otherwise, are aided by increased propagule pressure [1]. As such, a major challenge of implementing successful classical biological control programs is maximizing the number and size of agent releases [2]. Two biological control agents, Archanara neurica (Hübner) and Lenisa geminipuncta (Haworth) (Lepidoptera: Noctuidae), have been released for the control of Phragmites australis australis (Cav.) Trin. Ex Steud. (hereafter Phragmites) in Canada. Currently, the most effective release method for these agents uses the implantation of freshly hatched larvae into cut Phragmites stems [3]. This method is labor-intensive and has been limited to a short and unpredictable time period, when the eggs of laboratory-reared populations hatch in the spring [3]. We sought to improve our ability to predict and manipulate agent hatch timing, such that the released window and the number of larvae available to be used for releases could be increased.
Introduced Phragmites has been described as Canada’s worst weed [4]. Arriving in North America from Eurasia in the late 19th century [5], the weed is now highly invasive in the Atlantic, Pacific, and Gulf Coastal regions [6], with significant potential for further range expansion [7]. Introduced Phragmites is a perennial grass that forms dense stands in wetland habitats [8]. The weed reduces once diverse wetland flora to little more than a monoculture [9], with cascading impacts on native fauna, including birds [10], fish [11], and turtles [12]. The native North American subspecies of common reed (Phragmites australis americanus Saltonstall, P.M. Peterson & Soreng) is under intense pressure from its invasive counterpart, both as a result of competition [5,13] and the threat of hybridization [14], cases of which have been confirmed in the USA [15]. In addition to its devastating ecological effects, invasive Phragmites is a major threat to infrastructure, leading to high economic costs [16]. The weed is common on roadsides, where its height can block sightlines, and in drainage ditches and culverts, where its dense stems and robust rhizomes impede the natural flow of water [17].
Chemical control of invasive Phragmites can be effective, but is limited by site accessibility, restrictions on chemical use, and the scale of the infestation [18,19]. Mechanical control methods such as spading or cut-to-drown can be effective for managing small populations, but these populations remain vulnerable to reinvasion from surrounding areas [18,20,21]. Classical biological control represents a promising tool for the management of invasive Phragmites. Biological control can complement existing Phragmites management tools while offering scalability, sustainability, and reduced impacts on non-target species [22].
The biological control program for introduced Phragmites began in the late 1990s, with assessments of the weed as an appropriate target and a search for candidate agents [23,24,25]. The two moths A. neurica and L. geminipuncta were identified by CABI in Delémont, Switzerland. The agents share similar life histories and univoltine life cycles. Eggs hatch in the spring, and larvae feed internally on Phragmites stems [26]. Over the course of their development, individual moths will feed inside three to four Phragmites stems, either killing them or stunting their growth and reproductive development [27]. Adult moths emerge in midsummer and lay eggs under the leaf sheaths of standing Phragmites stems [28,29]. Eggs are the overwintering life stage and remain under the leaf sheaths until the following spring. After rigorous host-range testing [30,31], a petition to release both agents in Canada and the USA was submitted in 2018 [32]. The agents were permitted for release by the Canadian Food Inspection Agency in Canada in 2019. In the USA, the agents have been recommended for release by the USDA-APHIS Technical Advisory Group and are still under regulatory review.
Since 2019, release methods have been developed for both eggs and larvae of A. neurica and L. geminipuncta, with larval releases proving the most effective [3]. To conduct larval releases, newly hatched larvae are placed inside cut Phragmites stems, and these inoculated stems are mounted in florist foam blocks (usually in groups of 40) before being placed into release sites [3]. The process is labor-intensive, and the number of releases that can be conducted is further limited by the short period of time over which egg hatch occurs in laboratory-reared agent populations. We conducted a cold storage experiment with eggs to assess whether the timing of A. neurica and L. geminipuncta egg hatch can be manipulated and extended without affecting egg survival. The ability to delay egg hatch would enable biological control practitioners to conduct larval releases over a longer period of time and manipulate the timing of releases to better coincide with Phragmites emergence in the field. Additionally, we conducted visual assessments of developing agent eggs to determine whether hatch timing can be predicted based on early signs of development. The ability to predict waves of agent hatch would promote more efficient use of practitioner time and resources and, ultimately, increase the number of larvae that can be released.
2. Materials and Methods
2.1. Insect Production
Eggs of Archanara neurica and Lenisa geminipuncta were collected from a mix of sources, including overseas rearing conducted at CABI, Delémont, Switzerland (43% of total, A. neurica; 51% of total, L. geminipuncta); laboratory-based oviposition trials at the University of Toronto (35% of A. neurica, 33% of L. geminipuncta); dedicated laboratory-based rearing in oviposition cages at the University of Toronto (21% of A. neurica); and field collections of eggs from Ontario release sites (1% of A. neurica, 16% of L. geminipuncta). Eggs of each species were mixed and homogenized across sources prior to use in this experiment. All eggs were then stored in Petri dishes packed in insulated polystyrene boxes in outdoor sheds starting in September 2023 in Ontario, Canada, prior to use in 2024.
2.2. Assessing the Effects of Spring Cold Storage on the Eggs of A. neurica and L. geminipuncta
We conducted an experiment to assess the feasibility of using cold storage to manipulate the hatch timing of the biocontrol agents A. neurica and L. geminipuncta. Eggs of both species were allocated to seven storage treatments on 15 March 2024: (1) a baseline treatment of eggs that remained in outdoor storage; (2) an early hatch treatment in which eggs were brought into the laboratory to determine if eggs could be hatched earlier than normal; and (3–7) five cold storage (c. 5 °C) treatments lasting 7, 8, 9, 10, and 11 weeks to see if egg hatch could be delayed.
Outdoor baseline eggs were left in the same outdoor shed in Petri dishes (n = 5 dishes of 30 eggs per species). The indoor early hatch eggs were brought into the laboratory on 15 March 2024 and placed in Petri dishes on a laboratory bench (n = 3 dishes of 20 eggs per species; this was a lower number of replicates and eggs per dish to minimize the number of “wasted” larvae that hatched too early in the season to be used for field releases). The cold storage eggs were randomly allocated to Petri dishes (n = 10 dishes of 30 eggs per species per cold storage duration) and placed in a walk-in refrigerator (4.6 °C ± 1.5 °C, mean ± standard deviation). After 7–11 weeks of cold storage, eggs from egg cold storage treatment were either brought indoors to laboratory conditions (~25 °C, n = 5 dishes of 30 eggs per species per cold storage duration) or transferred to the outdoor shed (n = 5 dishes of 30 eggs per species per cold storage duration) to evaluate the effect of location/temperature on overall hatch.
Eggs were visually monitored every day for hatch. Once no additional hatch was observed, we calculated the overall hatch (% of initial eggs in each Petri dish that hatched) and the time to first hatch (number of days to first hatch after an egg group was transferred indoors [early indoor warmup treatment] or moved out of cold storage until the first egg hatched [cold storage treatments]).
A temperature recorder (LogTag, Lafayette, NJ, USA) was placed in each location to record hourly temperature throughout the experiment. Hourly temperature data were used to generate summary statistics characterizing the outdoor, indoor, and cold storage locations (Table 1). Hourly integral cumulative degree days were also modeled at hypothetical base development temperatures of 5 °C and 0 °C for each storage treatment to better characterize the storage conditions. The base temperature of 0 °C provided a general above-freezing heat-sum index for seasonal warming. The base temperature of 5 °C is a standardized reporting threshold to aid comparability across studies and approximates cool-season developmental thresholds in many temperate systems. The comparison of 0 °C and 5 °C thresholds allowed us to test the sensitivity of our results to different base temperatures in the absence of known lower development threshold temperatures for A. neurica and L. geminipuncta [33]. For each cold storage treatment, degree days were calculated from the start of the cold storage experiment on 15 March 2024 until the average date of first emergence for combined A. neurica and L. geminipuncta in outdoor conditions. The combined average dates of the first hatch for A. neurica and L. geminipuncta for the cold storage treatment were 5 May for the outdoor baseline, 27 March for the early hatch treatment, 15 May for 7 weeks cold, 17 May for 8 weeks cold, 22 May for 9 weeks cold, 28 May for 10 weeks cold, and 5 June for 11 weeks cold.
Table 1.
Temperature data from egg storage and hatching locations. The experiment started on 15 March 2024. The cold storage refrigerator was used until 29 May 2024, and hatch monitoring occurred outdoors in the courtyard shed and indoors on a laboratory bench until 13 June 2024.
| Location | Date Range | Mean Temperature ± SD (°C) |
Min Temperature (°C) | Max Temperature (°C) | Temperature Range (°C) | Coefficient of Variation (CV) |
|---|---|---|---|---|---|---|
| Outdoor hatch (courtyard shed) |
15 March– 13 June |
12.1 ± 6.3 | −4.3 | 25.8 | 30.1 | 0.52 |
| Cold storage (refrigerator) |
15 March– 29 May |
4.6 ± 1.5 | 3.6 | 27.3 | 23.7 | 0.32 |
| Early hatch (laboratory bench) |
15 March– 13 June |
23.4 ± 2.1 | 16.7 | 27.7 | 11 | 0.09 |
2.3. Monitoring Visual Signs of Egg Development to Predict Hatch Timing
To assess how visual evidence of egg development might be used to predict hatch timing, one dish of eggs in each of the outdoor and indoor treatments for each species was designated for photographic monitoring. Dishes were photographed every 2–3 days to visually assess developmental status. Photographs were taken using a Dino-Lite AM3111 0.3 MP Digital Microscope (Dunwell Tech, Inc. Dino-Lite, Torrance, CA, USA). The replicates from the outdoor treatment were brought indoors long enough to take photographs before being moved back outside. Photographs were visually reviewed, and eggs were classified into different developmental categories. All eggs began as “new” eggs perceived to be healthy and viable with no visible signs of development. Eggs that had not yet hatched but contained discernible internal embryonation or other structures with green to brown pigmentation on the egg surface were classified as “developing eggs”. Clear, empty eggs were classified as “hatched”. At the end of the observation period and after no further hatch was observed, eggs could be sorted into one of two common failed hatch conditions: failed eggs either took on a “doughnut”-like appearance with a ring of pigmentation and puckering around the edge or appeared as a mostly clear egg with a dark, desiccated, partially “formed” larva inside (Figure 1).
Figure 1.
Egg classifications for Archanara neurica and Lenisa geminipuncta photographic monitoring.
2.4. Statistical Analyses
The effects of species (A. neurica, L. geminipuncta), storage conditions (outdoor baseline, indoor early hatch, 7 weeks cold, 8 weeks cold, 9 weeks cold, 10 weeks cold, 11 weeks cold), and hatch location (indoors or outdoors) on final hatch were initially assessed using a general linear model (final hatch~species × storage conditions × hatch location). Because eggs in the indoor hatch location treatment had particularly low hatch rates, subsequent models included only replicates from the outdoor hatch location treatment. The effects of species and storage conditions on time to final hatch and time to first hatch were then assessed using general linear models (response~species × storage conditions). The outdoor baseline treatment was omitted from the analysis of time to first hatch since there was no discrete start time to measure against for eggs that remained in outdoor storage throughout the experiment. Assumptions of residual normality and equal variance between treatment groups were visually assessed by examining normal quantile (QQ) plots of residuals and boxplots of response variables by treatments, respectively. Means throughout are presented ± standard deviation (SD) as a measure of variation. Statistically significant general linear model results are presented with partial omega squared (ωp2) as an effect size, describing the proportion of variance explained by a model term while excluding the variance contributed by other terms.
For the photographic monitoring, visual records of egg development were used to produce descriptive summaries of the percentages of eggs that hatched or failed, the number of days between the first signs of development and first hatch, and the total duration of the hatch period (i.e., number of days from first to last hatch). Because of the time-intensive nature of the photographic monitoring, only one dish from each of the outdoor and indoor treatments for A. neurica and L. geminipuncta (four dishes in total) was processed, and no formal statistical inferences could be drawn.
Statistical analyses were conducted in R Studio version 2023.12.1 [34] at α = 0.05. Graphics were produced in R Studio, Microsoft Excel, and Microsoft PowerPoint.
3. Results
3.1. Assessing the Effects of Spring Cold Storage on the Eggs of A. neurica and L. geminipuncta
Temperature conditions varied between the outdoor, cold storage, and indoor locations in the egg cold storage experiment (Table 1). Overall, the outdoor courtyard was the most variable and experienced the broadest range of temperatures, including the lowest temperature (−4.3 °C). The cold storage refrigerator experienced brief spikes in temperature associated primarily with the door of the walk-in refrigerator being opened but on average maintained a temperature of 4.6 °C throughout the experiment. Degree days accumulated most rapidly in the indoor environment, followed by the outdoor courtyard (Table 2). Assuming a base temperature of 5 °C, degree day accumulation in cold storage was low but not zero because of fluctuations in cold room temperature. Using a development threshold of 5 °C, degree day accumulation was highest under the outdoor and early hatch conditions and lower for eggs held in cold storage (Table 2). Using a lower threshold of 0 °C, cumulative degree day accumulation was more consistent between all groups, except for the early hatch group, which had lower accumulation (Table 2).
Table 2.
Cumulative degree days at Tbase = 5 °C and Tbase = 0 °C from the start of the cold storage experiment on 15 March 2024 until the date of mean first hatch of A. neurica and L. geminipuncta combined for each storage condition.
| Storage Conditions | Cumulative Degree Days (Tbase = 5 °C) |
Cumulative Degree Days (Tbase = 0 °C) |
|---|---|---|
| Outdoor baseline | 201 | 418 |
| Early hatch | 218 | 278 |
| 7 weeks cold | 168 | 440 |
| 8 weeks cold | 134 | 414 |
| 9 weeks cold | 132 | 432 |
| 10 weeks cold | 112 | 437 |
| 11 weeks cold | 120 | 480 |
When all eggs were analyzed together (indoor and outdoor treatments for both A. neurica and L. geminipuncta), egg hatch percentage was significantly affected by hatch location (indoors versus outdoors) (F6,52 = 336.172, p < 0.001). Eggs held indoors after cold storage (24.3 ± 2.1) hatched at a significantly lower rate than eggs held outdoors (66.6 ± 2.6). Eggs in the early hatch treatment (brought indoors on 15 March) hatched 38 days early compared with baseline eggs held outdoors but at the cost of a significantly lower overall hatch. There were no significant interactions between hatch location and species (F4,45 = 1.525, p = 0.220) or hatch location and storage treatment (F4,45 = 1.924, p = 0.113).
For eggs hatched in outdoor conditions, the percentage of eggs that successfully hatched varied with a significant interaction between species and storage (F6,52 = 8.104, p < 0.001, ωp2 = 0.43). Examining simple main effects by species, storage conditions affected outdoor hatch of both A. neurica (F6,26 = 8.55, p < 0.001, ωp2 = 0.58) and L. geminipuncta (F6,26 = 33.80, p < 0.001, ωp2 = 0.86). For A. neurica, eggs in the early hatch treatment experienced a 53% drop in hatch relative to baseline outdoor conditions, but otherwise, outdoor hatch was not affected by cold storage. For L. geminipuncta, eggs in the early hatch treatment experienced a 75% reduction in hatch relative to baseline outdoor conditions. The hatch of L. geminipuncta eggs stored outdoors after cold storage was comparable to the baseline outdoor treatment after 7, 8, and 11 weeks of cold storage and 34–47% lower after 9–10 weeks of cold storage (Figure 2).
Figure 2.
Effects of egg storage conditions on total egg hatch (% of initial eggs) of (a) Archanara neurica and (b) Lenisa geminipuncta. The early hatch treatment consisted of n = 3 dishes of 20 eggs for each of the species, and all other treatments consisted of n = 5 dishes of 30 eggs for each species. Group means are denoted by an “×”. Boxes depict the interquartile range with a horizontal bar for the median. Whiskers extend to the maximum and minimum data values. Letters denote Tukey groupings; within each species, means that do not share a letter are statistically significantly different at α = 0.05.
Time to first hatch following retrieval from cold storage was affected by an interaction of species and storage (F5,44 = 5.80, p < 0.001, ωp2 = 0.30). Examining simple main effects by species, storage conditions affected time to first hatch of both A. neurica (F5,22 = 104.8, p < 0.001, ωp2 = 0.95) and L. geminipuncta (F5,22 = 68.44, p < 0.001, ωp2 = 0.92). Time to first hatch of A. neurica was the longest for eggs brought indoors early or with the shortest cold storage of 7 weeks (12.0–13.4 days). As the duration of cold storage increased, time to first hatch generally became shorter by approximately four to eight days. Time to first hatch of L. geminipuncta was longest for eggs held in the cold for 7 weeks (16.2 days), intermediate for eggs brought indoors early (12.3 days), and shortest for eggs held in the cold for 8 to 11 weeks (Figure 3).
Figure 3.
Time to first hatch (i.e., days between transfer to early indoor conditions or retrieval from cold storage to first hatch observation) of (a) Archanara neurica and (b) Lenisa geminipuncta. The early indoor treatment consisted of n = 3 dishes of 20 eggs for each of the species, and all other treatments consisted of n = 5 dishes of 30 eggs for each species. Group means are denoted by an “×”. Boxes depict the interquartile range with a horizontal bar for the median. Whiskers extend to the maximum and minimum data values. Letters denote Tukey groupings; within each species, means that do not share a letter are statistically significantly different at α = 0.05.
3.2. Monitoring Visual Signs of Egg Development to Predict Hatch Timing
While formal statistical analyses were not possible on this low number of samples, the timing between visually detectable embryonation and hatch and the overall hatch duration appeared similar across species and storage/hatch conditions (Figure 4). The time from first signs of development to first hatch ranged from 4 to 7 days, and the length of the hatching period (hatch duration) was 1 to 8 days. A 1-day hatch duration occurred for the indoor A. neurica group, which had the lowest overall hatch (5%). Excluding this, the duration of the hatching period ranged from 5 to 8 days.
Figure 4.
Egg development of Archanara neurica and Lenisa geminipuncta stored and hatched under outdoor baseline or early hatch conditions (one dish of 30 eggs per chart) over time (Julian date). Light gray bars indicate the cumulative percentage of eggs per treatment that have shown visible signs of development, and the dark gray bars depict the percentage of eggs per treatment that have hatched.
For L. geminipuncta, 100% of eggs hatched successfully under baseline outdoor conditions. Only 5% of failed L. geminipuncta eggs took on the “doughnut” form, while this represented 20% and 35% of the failed A. neurica eggs in the outdoor baseline and early hatch treatments, respectively. For L. geminipuncta eggs in the early hatch treatment, 75% of eggs were “formed” but failed. For A. neurica eggs, the relative number of “formed” but failed eggs compared to the “doughnut” form was 23% vs. 20% in the outdoor baseline treatment and 60% vs. 35% in the early hatch treatment (Figure 5).
Figure 5.
Final status of Archanara neurica and Lenisa geminipuncta stored and hatched under outdoor or indoor conditions (one dish of 30 eggs per chart). Photographic monitoring was used to classify eggs at the end of the study as hatched or failed in a characteristic “doughnut” or “formed” state (shown as % of eggs per dish allocated to each category).
4. Discussion
The rate of successful egg hatch was significantly reduced for both A. neurica and L. geminipuncta when eggs were brought into the laboratory early in spring. For insects in temperate climates, overwintering eggs often need to be exposed to cold conditions for a threshold period of time in order to complete diapause and commence post-diapause development [35,36]. Indeed, the overwintering eggs of some polyphagous moth species have been shown to exhibit phenological polymorphisms, whereby populations have different cold duration requirements to synchronize the timing of spring hatch with the phenology of different host plants [37]. The low hatch rate of A. neurica and L. geminipuncta eggs brought into the laboratory early could, therefore, be explained by an insufficient duration of cold exposure. Cold exposure requirements of these insects may represent an adaptation to promote phenological synchronization with the spring emergence of Phragmites. Newly hatched larvae of A. neurica and L. geminipuncta need access to young Phragmites stems, and so the optimal hatching window in the field is relatively narrow [27]. It should be noted, however, that all A. neurica and L. geminipuncta eggs that were hatched in indoor conditions, even those that had experienced extended cold exposures, exhibited very low hatch rates. An alternative explanation may be that egg hatch in A. neurica and L. geminipuncta is negatively affected by a lack of temperature fluctuation, as has been observed in other Noctuid moths [38].
For A. neurica eggs hatched outdoors, the percentage of eggs that successfully hatched was not affected by any of the cold storage treatments. In the longest cold storage treatment, egg hatch was delayed by up to 31 days, compared with outdoor controls, without any negative impact on viability. This is an important finding for the biological control program, as it will allow practitioners to dramatically extend the time during which larval releases, the most effective release method to date [3,39], can be conducted.
For L. geminipuncta eggs hatched outdoors, egg hatch percentage was not affected by cold storage for 7, 8, or 11 weeks; however, a significant reduction in egg hatch was observed after 9 and 10 weeks of cold storage. This dip in hatch rate is difficult to explain, as it did not coincide with any large fluctuations in storage temperatures. The reprise of high hatch rates after 11 weeks of cold storage, however, suggests that this dip was associated with post-cold storage conditions, or the transition to outdoor conditions, and not cold storage itself. Both relative humidity [40,41] and rapid temperature fluctuations [42], for example, can impact post-diapause egg development in insects and should be the focus of future work.
Time to first hatch was measured for each cold treatment, starting from the date that the eggs were moved out of cold storage and into outdoor conditions. For both A. neurica and L. geminipuncta, time to first hatch became shorter as the duration of cold storage increased. Given that the rate of accumulation of degree days, after removal from cold storage, was similar among treatments, these results suggest that both A. neurica and L. geminipuncta were able to undergo some cumulative development while in cold storage conditions. Minimum temperature thresholds for egg development vary widely among Noctuid moths [43,44]. Our results suggest a threshold temperature below 5 °C for eggs of A. neurica and L. geminipuncta.
We also conducted a visual analysis of A. neurica and L. geminipuncta eggs to see if the timing of hatch could be predicted from changes in the appearance of eggs. For both A. neurica and L. geminipuncta, egg hatch occurred 4–7 days after the first visible signs of egg development, and hatch duration (time from first to last hatch) generally ranged from 5 to 8 days. We do not want to lean too heavily on this relatively small pilot study, and future work should seek to verify these results. Once verified, these results will provide practitioners with important cues for predicting peaks of agent hatch. In order for larval releases to be conducted, newly emerging larvae must be placed inside cut Phragmites stems within c. 24 h of hatching. Larvae left outside of stems for longer than this usually desiccate and die [3]. Waves of agent hatch, therefore, require the prior collection of large numbers of Phragmites stems, which can only be stored for approximately one week, as well as the immediate attention of trained practitioners. Predicting peaks and troughs of agent hatch will allow for more efficient use of larvae, as well as practitioner time and resources.
The percentage of eggs that failed to hatch and exhibited the doughnut appearance was 20% and 35% for A. neurica for the early hatch and the outdoor baseline treatments, respectively. For L. geminipuncta, failed eggs with the doughnut appearance represented 0% and 5% of early hatch and outdoor baseline eggs, respectively. These results suggest a higher proportion of non-viable eggs in A. neurica than L. geminipuncta, which is in line with consistent observations from the mass rearing programs in Switzerland (Patrick Hafliger, personal communication) and what we have observed in Canada. For the early hatch group, eggs were moved to indoor conditions early in the spring, and many eggs that failed to hatch showed visible signs of development (60% of A. neurica and 75% of L. geminipuncta eggs). This suggests that the shortened exposure to natural cold conditions did not prevent eggs from completing diapause and that indoor conditions affected some elements of post-diapause development. Indeed, previous studies have suggested that, in southern Europe, L. geminipuncta diapause is completed in early winter [45].
Using cold storage to manipulate the timing of egg hatch in A. neurica and L. geminipuncta will allow biological control practitioners to substantially increase the number of larvae available for releases during the spring, as well as optimize the timing of releases. We recommend that eggs be placed in cold storage in early spring, prior to any unseasonably warm weather that might stimulate early development. Eggs should then be removed from cold storage on a timescale that maximizes their efficiency of use. Eggs should be removed from cold storage a maximum of four weeks after the mean hatch date of outdoor control eggs, and all eggs should be held in outdoor conditions for hatching.
Acknowledgments
The authors are grateful to Patrick Hafliger for help rearing Archanara neurica and Lenisa geminipuncta and to Jasmine Carpick for her help conducting laboratory and field work. Finally, we are grateful for financial support from Ducks Unlimited Canada, Agriculture and Agri-Food Canada, the Invasive Species Centre, the Ontario Ministry of Natural Resources and Forestry, and NSERC.
Author Contributions
M.J.M.: Conceptualization, Data Curation, Formal Analysis, Funding Acquisition, Investigation, Methodology, Writing—Original Draft, Writing—Review and Editing; I.M.J.: Conceptualization, Data Curation, Formal Analysis, Funding Acquisition, Investigation, Methodology, Writing—Original Draft, Writing—Review and Editing; C.T.: Conceptualization, Data Curation, Investigation, Methodology, Writing—Review and Editing; S.M.S.: Conceptualization, Funding Acquisition, Project Administration, Resources, Software, Supervision, Writing—Review and Editing; R.S.B.: Conceptualization, Funding Acquisition, Methodology, Project administration, Resources, Supervision, Writing—Review and Editing. All authors have read and agreed to the published version of the manuscript.
Data Availability Statement
The data that support the findings of this study are available at https://osf.io/7ycxs/files/xnmd4 (accessed on 20 January 2026).
Conflicts of Interest
The authors declare no conflicts of interest.
Funding Statement
This work was supported by Agriculture and Agri-Food Canada under grant numbers J-001762 and J-002201; Invasive Species Centre Canada under grant number 500232; the Ontario Ministry of Natural Resources and Forestry; Nature Conservancy Canada; Natural Sciences and Engineering Research Council of Canada; and Ducks Unlimited Canada.
Footnotes
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
References
- 1.Brockerhoff E.G., Liebhold A.M. Ecology of forest insect invasions. Biol. Invasions. 2017;19:3141–3159. doi: 10.1007/s10530-017-1514-1. [DOI] [Google Scholar]
- 2.Lake E.C., Smith M.C., Rayamajhi M.B. Minimum threshold for establishment and dispersal of Lilioceris Cheni (Coleoptera: Chrysomelidae): A biological control agent of Dioscorea bulbifera. Biocontrol Sci. Technol. 2018;28:603–613. doi: 10.1080/09583157.2018.1468999. [DOI] [Google Scholar]
- 3.McTavish M.J., Jones I.M., Häfliger P., Smith S.M., Bourchier R.S. Field tests of egg and larval release methods of biological control agents (Archanara neurica, Lenisa geminipuncta) for introduced Phragmites australis australis (Cav.) trin. Ex Steud. Biol. Control. 2024;188:105414. doi: 10.1016/j.biocontrol.2023.105414. [DOI] [Google Scholar]
- 4.Nichols G. Invasive Phragmites (Phragmites australis) Best Management Practices in Ontario: Improving Species at Risk Habitat Through the Management of Invasive Phragmites. Ontario Invasive Plant Council; Peterborough, ON, USA: 2020. [Google Scholar]
- 5.Saltonstall K. Cryptic invasion by a non-native genotype of the common reed, Phragmites australis, into North America. Proc. Natl. Acad. Sci. USA. 2002;99:2445–2449. doi: 10.1073/pnas.032477999. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Marks M., Lapin B., Randall J. Phragmites australis (P. communis): Threats, management and monitoring. Nat. Areas J. 1994;14:285–294. [Google Scholar]
- 7.Catling P.M., Mitrow G. The recent spread and potential distribution of Phragmites australis subsp. australis in Canada. Can. Field Nat. 2011;125:95–104. doi: 10.22621/cfn.v125i2.1187. [DOI] [Google Scholar]
- 8.Packer J.G., Meyerson L.A., Skálová H., Pyšek P., Kueffer C. Biological flora of the British Isles: Phragmites australis. J. Ecol. 2017;105:1123–1162. doi: 10.1111/1365-2745.12797. [DOI] [Google Scholar]
- 9.Crocker E.V., Nelson E.B., Blossey B. Soil conditioning effects of Phragmites australis on native wetland plant seedling survival. Ecol. Evol. 2017;7:5571–5579. doi: 10.1002/ece3.3024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Meyer S.W., Badzinski S.S., Petrie S.A., Ankney C.D. Seasonal abundance and species richness of birds in common reed habitats in Lake Erie. J. Wildl. Manag. 2010;74:1559–1567. [Google Scholar]
- 11.Able K.W., Hagan S.M. Impact of common reed, Phragmites australis, on essential fish habitat: Influence on reproduction, embryological development, and larval abundance of mummichog (Fundulus heteroclitus) Estuaries. 2003;26:40–50. doi: 10.1007/bf02691692. [DOI] [Google Scholar]
- 12.Bolton R.M., Brooks R.J. Impact of the seasonal invasion of Phragmites australis (common reed) on turtle reproductive success. Chelonian Conserv. Biol. 2010;9:238–243. doi: 10.2744/CCB-0793.1. [DOI] [Google Scholar]
- 13.Bhattarai G.P., Meyerson L.A., Cronin J.T. Geographic variation in apparent competition between native and invasive Phragmites australis. Ecology. 2017;98:349–358. doi: 10.1002/ecy.1646. [DOI] [PubMed] [Google Scholar]
- 14.Meyerson L.A., Viola D.V., Brown R.N. Hybridization of invasive Phragmites australis with a native subspecies in North America. Biol. Invasions. 2010;12:103–111. doi: 10.1007/s10530-009-9434-3. [DOI] [Google Scholar]
- 15.Paul J., Vachon N., Garroway C.J., Freeland J.R. Molecular Data Provide Strong Evidence of Natural Hybridization Between Native and Introduced Lineages of Phragmites australis in North America. Biol. Invasions. 2010;12:2967–2973. doi: 10.1007/s10530-010-9699-6. [DOI] [Google Scholar]
- 16.Martin L.J., Blossey B. The runaway weed: Costs and failures of Phragmites australis Management in the USA. Estuaries Coasts. 2013;36:626–632. doi: 10.1007/s12237-013-9593-4. [DOI] [Google Scholar]
- 17.Wails C.N., Baker K., Blackburn R., Del Vallé A., Heise J., Herakovich H. Assessing changes to ecosystem structure and function following invasion by Spartina alterniflora and Phragmites australis: A meta-analysis. Biol. Invasions. 2021;23:2695–2709. doi: 10.1007/s10530-021-02540-5. [DOI] [Google Scholar]
- 18.Zimmerman C.L., Shirer R.R., Corbin J.D. Native Plant Recovery following Three Years of Common Reed Phragmites australis Control. Invasive Plant Sci. Manag. 2018;11:175–180. doi: 10.1017/inp.2018.24. [DOI] [Google Scholar]
- 19.Lindsay D., Freeland J., Gong P., Guan X., Harms N., Kowalski K., Lance R., Oh D., Sartain B., Wendell D. Genetic analysis of North American Phragmites australis guides management approaches. Aquat. Bot. 2023;184:103589. doi: 10.1016/j.aquabot.2022.103589. [DOI] [Google Scholar]
- 20.Bonello J.E., Judd K.E. Plant community recovery after herbicide management to remove Phragmites australis in Great Lakes coastal wetlands. Restor. Ecol. 2020;28:215–221. doi: 10.1111/rec.13062. [DOI] [Google Scholar]
- 21.Rohal C.B., Hazelton E.L.G., McFarland E.K., Downard R., McCormick M.K., Whigham D.F., Kettenring K.M. Landscape and site factors drive invasive Phragmites management and native plant recovery across Chesapeake Bay wetlands. Ecosphere. 2023;14:e4392. doi: 10.1002/ecs2.4392. [DOI] [Google Scholar]
- 22.Blossey B., Endriss S.B., Casagrande R., Häfliger P., Hinz H., Dávalos A. When misconceptions impede best practices: Evidence supports biological control of invasive Phragmites. Biol. Invasions. 2020;22:873–883. doi: 10.1007/s10530-019-02166-8. [DOI] [Google Scholar]
- 23.Casagrande R.A., Häfliger P., Hinz H.L., Tewksbury L., Blossey B. Grasses as appropriate targets in weed biocontrol: Is the common reed, Phragmites australis, an anomaly? BioControl. 2018;63:391–403. doi: 10.1007/s10526-018-9871-y. [DOI] [Google Scholar]
- 24.Schwarzländer M., Häfliger P. Proceedings of the X International Symposium on Biological Control of Weeds, Bozeman, MT, USA, 4–14 July 1999. Montana State University; Bozeman, MT, USA: 2000. Shoot flies, gall midges, and shoot and rhizome mining moths associated with common reed in Europe and their potential for biological control; pp. 397–420. [Google Scholar]
- 25.Tewksbury L., Casagrande R., Blossey B., Häfliger P., Schwarzländer M. Potential for biological control of Phragmites australis in North America. Biol. Control. 2002;23:191–212. doi: 10.1006/bcon.2001.0994. [DOI] [Google Scholar]
- 26.Tscharntke T. Fluctuations in abundance of a stem-boring moth damaging shoots of Phragmites australis: Causes and effects of overexploitation of food in a late-successional grass monoculture. J. Appl. Ecol. 1990;27:679–692. doi: 10.2307/2404311. [DOI] [Google Scholar]
- 27.Häfliger P., Schwarzländer M., Blossey B. Comparison of biology and host plant use of Archanara geminipuncta, Archanara dissoluta, Archanara neurica, and Arenostola phragmitidis (Lepidoptera: Noctuidae), potential biological control agents of Phragmites australis (Arundineae: Poaceae) Ann. Entomol. Soc. Am. 2006;99:683–696. doi: 10.1603/0013-8746(2006)99[683:COBAHP]2.0.CO;2. [DOI] [Google Scholar]
- 28.Mook J.H., van der Toorn J. Delayed response of common reed Phragmites australis to herbivory as a cause of cyclic fluctuations in the density of the moth Archanara geminipuncta. Oikos. 1985;44:142–148. doi: 10.2307/3544055. [DOI] [Google Scholar]
- 29.Michel R., Tscharntke T. Ursachen der Populationsdichteschwankungen von Schmetterlingen im Ökosystem Schilf (Phragmites australis Trin.) Mitteilungen Dtsch. Ges. Allg. Angew. Entomol. 1993;8:511–515. [Google Scholar]
- 30.Blossey B., Häfliger P., Tewksbury L., Dávalos A., Casagrande R. Host specificity and risk assessment of Archanara geminipuncta and Archanara neurica, two potential biocontrol agents for invasive Phragmites australis in North America. Biol. Control. 2018;125:98–112. doi: 10.1016/j.biocontrol.2018.05.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Blossey B., Häfliger P., Tewksbury L., Dávalos A., Casagrande R. Complete host specificity test plant list and associated data to assess host specificity of Archanara geminipuncta and Archanara neurica, two potential biocontrol agents for invasive Phragmites australis in North America. Data Brief. 2018;19:1755–1764. doi: 10.1016/j.dib.2018.06.068. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Blossey B., Casagrande R., Tewksbury L., Hinz H.L., Häfliger P., Dávalos A. A Petition for Open-Field Releases of Archanara geminipuncta and Archanara neurica, Potential Biological Control Agents of Invasive Phragmites australis in North America. [(accessed on 13 June 2025)];2018 Available online: https://www.dot.ny.gov/divisions/engineering/technical-services/trans-r-and-d-repository/C-15-07.pdf?
- 33.Pruess K.P. Day-degree methods for Pest Management. Environ. Entomol. 1983;12:613–619. doi: 10.1093/ee/12.3.613. [DOI] [Google Scholar]
- 34.Posit Team . RStudio: Integrated Development Environment for R [Computer Software] Posit Team; Boston, MA, USA: 2023. [(accessed on 15 March 2025)]. version 2023.12.1. Posit Software, PBC. Available online: https://posit.co/ [Google Scholar]
- 35.Hodek I. Diapause development, diapause termination and the end of diapause. Eur. J. Entomol. 1996;93:475–487. [Google Scholar]
- 36.von Schmalensee L., Süess P., Roberts K.T., Gotthard K., Lehmann P. A quantitative model of temperature-dependent diapause progression. Proc. Nat. Acad. Sci. USA. 2024;121:e2407057121. doi: 10.1073/pnas.2407057121. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Du Merle P. Egg development and diapause: Ecophysiological and geneticbasis of phenological polymorphism and adaptation to varied hosts in the greenoak tortrix, Tortrix viridana L. (Lepidoptera: Tortricidae) J. Insect Physiol. 1999;45:599–611. doi: 10.1016/S0022-1910(99)00045-1. [DOI] [PubMed] [Google Scholar]
- 38.Padukone A., Sheldon K.S. Temperature fluctuations interact with means to impact life history traits in Spodoptera frugiperda (JE Smith) (Lepidoptera: Noctuidae) J. Therm. Biol. 2025;133:104266. doi: 10.1016/j.jtherbio.2025.104266. [DOI] [PubMed] [Google Scholar]
- 39.McTavish M.J., Jones I.M., Smith S.M., Bourchier R.S. Current status of biological control of introduced Phragmites in Canada. PLoS ONE. 2024;19:e0315071. doi: 10.1371/journal.pone.0315071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Krysan J.L. Diapause, quiescence, and moisture in egg of western corn rootworm, Diabrotica virgifera. J. Insect Physiol. 1978;24:535–540. doi: 10.1016/0022-1910(78)90055-0. [DOI] [Google Scholar]
- 41.Kwak K.W., Kim S.Y., Ko H.J., Lee K.Y., Song J.H., Yoon H.J. Optimal hatching conditions of Zophobas atratus (Coleoptera: Tenebrionidae) eggs under various culture conditions. J. Asia-Pac. Entomol. 2021;24:1107–1115. doi: 10.1016/j.aspen.2021.10.006. [DOI] [Google Scholar]
- 42.Xing K., Ma C.S., Zhao F., Han J.C. Effects of large temperature fluctuations on hatching and subsequent development of the diamondback moth (Lepidoptera: Plutellidae) Fla. Entomol. 2015;98:651–659. doi: 10.1653/024.098.0240. [DOI] [Google Scholar]
- 43.Rao G.V.R., Wightman J.A., Rao D.V.R. Threshold temperatures and thermal requirements for the development of Spodoptera litura (Lepidoptera: Noctuidae) Environ. Entomol. 1989;18:548–551. doi: 10.1093/ee/18.4.548. [DOI] [Google Scholar]
- 44.Mironidis G.K. Development, survivorship and reproduction of Helicoverpa armigera (Lepidoptera: Noctuidae) under fluctuating temperatures. Bull. Entomol. Res. 2014;104:751–764. doi: 10.1017/S0007485314000595. [DOI] [PubMed] [Google Scholar]
- 45.Galichet P.F., Cousin M., Girard R. Egg dormancy and syn-chronization of larval feeding with host plant development in threenoctuid (lepidoptera) species. Acta Oecologica. 1992;13:701. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data that support the findings of this study are available at https://osf.io/7ycxs/files/xnmd4 (accessed on 20 January 2026).





