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28 December 2022 Influence of Wireworm Diet on its Susceptibility to and Control With the Entomopathogenic Fungus Metarhizium brunneum (Hypocreales: Clavicipitaceae) in Laboratory and Field Settings
Lara Reinbacher, Eva Praprotnik, Jaka Razinger, Sven Bacher, Giselher Grabenweger
Author Affiliations +
Abstract

Entomopathogenic fungi (EPF) represent promising control agents against wireworms but success in field experiments is inconsistent. The physiological condition of the targeted insect is crucial for its ability to withstand fungal infection. In particular, nutritional status is among the most important determinants of the insects' immune defense. In this study, we investigated the effects of diet on the development of the wireworm Agriotes obscurus (L.) (Coleoptera: Elateridae) and its subsequent susceptibility to the fungal pathogen Metarhizium brunneum (Petch) (Hypocreales: Clavicipitaceae) in a pot experiment. After being reared on one of five plant diets for eight weeks, wireworms were exposed to an environment inoculated with the EPF and monitored for their susceptibility to fungal infection. We then performed a field experiment in which three plant diets (clover, radish, and a cover crop mix), selected according to the insects' performance in the laboratory experiment, were grown as a cover crop with EPF application. Plant diet influenced growth and development of larvae, but there were no strong differences in susceptibility toward fungal infection in the laboratory experiment. Damage levels in EPF-treated plots in the field varied depending on the cover crop. Damage was highest in plots planted with a mix of cover crop species, whereas damage was lowest in plots with clover or radish alone. This agrees with the laboratory results where insect performance was inferior when fed on clover or radish. Cover crop effects on wireworm damage in the subsequent cash crop may thus vary depending on the cover crop species selected.

The use of entomopathogenic fungi (EPF) for insect biocontrol represents an environmentally friendly alternative to conventional chemical pesticides (Khan and Ahmad 2019). There are many examples of their successful implementation (de Faria and Wraight 2007), such as the control of spittlebugs (Hemiptera: Cercopidae) in Brazil (Mascarin et al. 2019) or white grubs (Coleoptera: Scarabaeidae) in Switzerland (Keller 1986, 2000). Nevertheless, biological control with EPF remains challenging as its efficacy can be easily disrupted by environmental conditions and this has limited its use (Skinner et al. 2014). In addition to direct effects on EPF efficacy arising from abiotic (e.g., temperature, humidity, UV-radiation) and biotic factors (e.g., competition with other microorganisms (Jaronski 2007)), there are also indirect plant-mediated effects on insect–entomopathogen interactions (Cory and Hoover 2006). These effects have been described both in relation to the fungus, for example, root exudates functioning as a fungal nutrient source (Bruck 2009), and in relation to the insect, with the nutritional value and secondary metabolites of the plant influencing insect performance and immune defense (Simpson and Raubenheimer 2001, Shikano et al. 2017).

Most studies on the influence of nutrition on insect immune defense against EPF have been conducted with the aim of improving basic knowledge of the insect immune system and the multitrophic relationships between insect and entomopathogen. It has been shown that certain plant diets can enhance resistance or tolerance to the pathogen, for example enriching the diet of the corn ear-worm, Helicoverpa zea (Boddie) (Lepidoptera: Noctuidae), with the glycoalkaloid α-tomatine lowers the mortality of larvae infected with the EPF Metarhizium (Nomuraea) rileyi (Farlow) (Hypocreales: Clavicipitaceae) (Gallardo et al. 1990). Dietary choices can even be seen as a form of self-medication (de Roode and Hunter 2019), as seen in locusts that improve their chances of surviving a Metarhizium acridum (Driver and Milner) infection after decreasing intake of protein (Graham et al. 2014). However, undernutrition or malnutrition can also lead to increased susceptibility to EPF, such as in nonbloodfed Anopheles gambiae (s.s. Giles) (Diptera: Culicidae) (Mnyone et al. 2011), in Drosophila melanogaster (Meigen) (Diptera: Drosophilidae) receiving high-dose glucose diets (Unckless et al. 2015), or in codling moth [Cydia pomonella (L.) (Lepidoptera: Tortricidae)] larvae deprived of vitamin C (Pristavko and Dovzhenok 1974).

Research on the practical implementation of these interactions for biological control, however, is limited to few species, such as Bactericera cockerelli (Sulc.) (Hemiptera: Triozidae) (Ocampo-Hernández et al. 2019), Tetranychus urticae (Koch) (Trombidiformesy: Tetranychidae) (Gatarayiha et al. 2010), Hyphantria cunae (Drury) (Lepidoptera: Erebidae) (Zibaee et al. 2013) and Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) (Santiago-Álvarez et al. 2006, Olleka et al. 2009, Tian et al. 2016, Zafar et al. 2016). Previous work has mainly focused on explaining discrepancies in the efficacy of EPF and evaluation of their suitability for specific crops. In contrast, in this study we aim to actively integrate potential plant diet effects into the biocontrol system to enhance field efficacy. Here we investigate if wireworm (Agriotes spp.) control with EPF can be improved by providing an ill-suited diet to the larvae in the cover crop.

Wireworms, the larvae of click beetles (Coleoptera: Elateridae), cause damage in several important crops such as maize and potato (Vernon and van Herk 2013, Furlan et al. 2017) and there are currently no reliable control options available to farmers (Veres et al. 2020). The EPF Metarhizium brunneum (Petch) has been identified as one of the most promising control methods (Ritter and Richter 2013) and several studies in Europe and North America have its potential for wireworm control in the field (e.g., Kabaluk and Ericsson 2007, Brandl et al. 2017, Mayerhofer et al. 2017, Antwi et al. 2018, Sharma et al. 2020). However also here EPF efficacy was often inconsistent and requires improvement.

Due to their long life cycle, wireworms can be found in soil all year round (Traugott et al. 2015). EPF application is thus not necessarily linked to the vulnerable crop but can be executed at any time during the agricultural crop rotation. As generalist herbivores, wireworms feed on a wide array of subterranean plant parts. While they show some preferences for food types like grasses and legumes (Schallhart et al. 2012), they rarely disperse horizontally with estimations ranging from 10–20 cm to a maximum of 1–1.5 m (Dobrovolsky 1970, Schallhart et al. 2011) provided that there is some kind of food source available (Dobrovolsky 1970, Schallhart et al. 2011). These characteristics give us a unique chance to influence the plant food resources available to wireworms during EPF application.

Previous studies have shown that application of the EPF M. brunneum to cover crops preceding potato cultivation can reduce wireworm abundance in the field. However, the effect on yield (potato tuber quality) was low (Rogge et al. 2017, Reinbacher et al. 2021). We hypothesized that the suitability of cover crops as a food resource for wireworms varies. Consequently, the choice of cover crop will have an influence on the insects' immune defense. If the cover crop is an ill-suited food source for wireworms, it should increase susceptibility of the wireworms towards pathogens, and consequently improve the efficacy of EPF treatments.

Several plant species are recommended as cover crops preceding potato production. Since potatoes require large amounts of nitrogen, leguminous crops like clover with their ability to fix nitrogen are particularly useful preceding potato (Canali et al. 2012). Other plant species help to prevent pest problems, e.g., oilseed radish and bristle oat are used as cover crop to prevent plant-parasitic nematodes in potatoes (Schmidt et al. 2017). To test our hypothesis, we used a selection of these recommended cover crops, namely berseem clover, bristle oat, oilseed radish and a cover crop mix, to test the impact of plant diet on wireworm [Agriotes obscurus (L.)] development and susceptibility to fungal infection in climate-controlled assays and wireworm damage field trials.

Materials and Methods

Effects of Plant Diet on Wireworm Development and Susceptibility to Fungal Infection

To evaluate the effect of plant diet on the susceptibility of wireworms to EPF, a two-phase experiment was conducted under climate-controlled conditions. In the first phase, wireworm development was quantified during growth on one of five plant diets in a pot experiment. In the second phase, the same wireworms were used in a susceptibility test in which they were exposed to Metarhizium conidia and their survival and mycosis were quantified in the laboratory (see Fig. 1). The whole experiment (Phase 1 and 2) was carried out twice (replicate 1 and 2) with a sample size of n = 30 per treatment, summing up to a total of 300 tested wireworms (2 independent replicates * 5 treatments * 30 wireworms per treatment). Experiments were performed under the same conditions with the exception of larval instars used and test duration. The first replicate (Rep 1) of the experiment was started with larval instar 4 and 5, while the second replicate (Rep 2) was started with larval instar 6 (Klausnitzer 1994). According to Sufyan et al. (2014) head widths of A. obscurus larval instars show considerable variation which may make accurate distinction between instars difficult. Thus, in the following, we present the head width measurements in mm instead of assigning them to instars. For further information on larval instars see  Supplementary Material Fig. S1 (toac198_suppl_supplementary_figure_s1.docx). Test duration of the first phase was eight weeks in both experiments; the second phase of the experiment was eight weeks (Rep 1) or 13 wk (Rep 2).

Wireworm Rearing

A. obscurus larvae originated from a laboratory stock established according to Kölliker et al. (2009). In short, adult elaterid beetles were collected from meadows in June and determined morphologically to species level. A stock was established by placing 40 individuals in a pot with mesh caging containing a grass mixture of Festuca rubra (L.) (Poales: Poaceae), F. pratensis (Huds.), Poa pratensis (L.) (Poales: Poaceae), and Lolium perenne (L.) (Poales: Poaceae) and potting soil as oviposition substrate. After death of the adults, the mesh caging was removed. Larvae were kept in the pots for another six months and were then transferred to a cool room (10°C). Larval health was assessed before experiments, based on movement behavior (van Herk and Vernon 2013): only larvae showing normal and spontaneous movement were included in the test.

Fig. 1.

Schematic representation of the two-phase experiment under climate-controlled conditions to evaluate plant diet effects on the susceptibility of wireworms to the EPF M. brunneum ART2825.

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Wireworm Development on Plant Diets (Phase 1)

Wireworms were tested on the roots of one of five plant diets, chosen from plants that are frequently used as cover crop preceding potatoes. Three single plant diets consisted of berseem clover [Trifolium alexandrinum (L.) (Fabales: Fabaceae), variety: Tigri], bristle oat [Avena strigosa (Schreb.) (Poales: Poaceae), variety: PRATEX], and oilseed radish [Raphanus sativus (L.) (Brassicales: Brassicaceae) var. oleiformis, variety: Valencia]. In addition, we included one treatment with a cover crop mix, containing bristle oat, berseem clover, ramtil (Guizotia abyssinica (Asterales: Asteraceae) (Cass.)) and phacelia (Phacelia tanacetifolia (Boraginales: Boraginaceae) (Bentham), variety: Stala) to allow for diet mixing. Diet mixing has often been found to positively influence the performance of generalist insect herbivores (Unsicker et al. 2008), and so wireworms might be expected to perform best on this diet. Finally, potato slices (mean: 15 g, range 1 g) formed the fifth treatment, supplied on the substrate surface as a restricted diet (potato restricted) available for two days every three weeks.

Plants were sown in potting soil before the start of the test. They were transplanted to planting pots (diameter: 11 cm, volume: 0.75 liter) in growth stage BBCH 11 (at first leaf development) and left to grow for a further 10 d. The number of plants per pot was chosen according to the plant density recommendations of the seed producer (Eric Schweizer AG, Thun Switzerland). Wireworms were then randomly assigned to a plant diet and one individual was released in each planting pot. There were 30 pots for each plant type (n = 30). The draining holes were sealed with gauze to prevent wireworms from escaping.

To ensure a large enough sample size for the subsequent susceptibility test (phase 2), a single larger planting pot (diameter 30 cm, volume: 14.14 liter) was prepared for each diet with 20 wireworms as a reserve. All pots were arranged randomly in a greenhouse chamber. The plants were grown at 25°C (range: 3°C) and watered every second day. After eight weeks, wireworms were retrieved, weighed and their head capsules measured.

Larval weight and head capsule width were assessed at the beginning of the trial and eight weeks after receiving their assigned diet. Head capsule widths were measured from pictures taken of live wireworms under a digital microscope (VHX 6000, Keyence, Japan). Precision of measurements was 0.001 g for weight and 0.03 mm for head capsule width in five repeated measurements.

Effect of Plant Diet on Susceptibility to M. brunneum (Phase 2)

For the susceptibility test, we used conidia of the entomopathogenic fungus M. brunneum isolate ART2825, which is known to cause high mortality rates in A. obscurus (Eckard et al. 2014, Rogge et al. 2017). Conidia were taken from fungal cultures maintained on a selective medium (Sabouraud 2% glucose agar (SDA) with the antibiotics cycloheximide (0.05 g liter–1), streptomycin sulfate (0.6 g liter–1), tetracycline (0.05 g liter–1), and the fungicide dodine (50 mg liter–1); Strasser et al. 1996). Viability of M. brunneum was first confirmed by assessing the percentage of germinated conidia under a microscope. Drops of 50 µl conidia suspension in 0.1% (v/v) aqueous Tween80 (1 × 106 spores ml–1) were applied on a solid culture medium suitable for entomopathogenic fungi (Riba and Ravelojoana 1984). After 24 hr incubation (22°C, 70% RH), three samples of 100 conidia were examined under 400× magnification and considered as viable if the germ tube was at least the length of the spore itself. In both repetitions, germination rates were above 95%. Before use in tests, conidia were incorporated into an artificial soil (pH = 6.0 ± 0.5%) containing 74% industrial sand, 20% kaolin clay, 5% peat, and 1% calcium carbonate (OECD, 2016) to a concentration of 1.1 × 105 conidia g–1 soil. The concentration of M. brunneum conidia in the susceptibility test was adjusted to correspond to the concentration recommended for field application, that is, 1014 conidia ha–1 (Rogge et al. 2017) at a soil incorporation depth of 6 cm (Reinbacher et al. 2021). To achieve this, we converted conidia per soil surface area into conidia per soil weight using an estimated bulk soil density of 1,500 kg m–3 (EFSA 2017). Plastic cups (90 cm3) were filled with 30 g of this mixture (i.e., total of 3.3 × 106 conidia per cup) and moistened to 50% of its maximum water holding capacity (ISO 2012). Wireworms were transferred to the cups and continued to be fed with the same diet as in the pots in phase 1. Plant diets were either supplied as pre-germinated seedlings or cut roots. Wireworms that could not be retrieved from the planting pots in phase 1 were replaced with an individual from the reserve from the same diet to obtain initial sample sizes n = 30 as in phase 1.

An untreated control (substrate without conidia) was tested in parallel to evaluate the suitability of the artificial soil for wireworms. Wireworms used for this control were not part of the phase 1 experiment and were fed exclusively with potato slices.

All cups were closed with a perforated lid and randomly distributed in plastic boxes (20–24 cups/box). They were stored in darkness at 22°C, 70% RH. Temperature and relative humidity were recorded daily and adjusted if deviating. Water content of the artificial soil was measured weekly by weighing and pots were re-watered if necessary.

To quantify effects of the plant diet on susceptibility to fungal treatment, wireworm mortality was evaluated weekly by visual inspection of movement. When recovered, wireworm cadavers were further incubated under the same conditions and monitored for intersegmental outgrowth of white mycelium and formation of green conidia layers, indicating Metarhizium infection.

Effects of Cover Crop Choice on the Impact of EPF Application on Wireworm Damage in Field Experiments

To assess the effect of different winter cover crops on control of wireworm damage to potatoes using EPF application, on-farm field experiments were conducted in Slovenia (Brinje, 46°05′32.4′ N 14°35′55.1′ E) and Switzerland (Rüeterswil, 47°15′21.9″N 8°59′15.0″E). The sites were chosen based on the farmers' previous experience with wireworm damage and on the occurrence of Agriotes spp. wireworms in soil samples. For each plot holes (0.25 m2, 40 cm deep) were dug and soil was examined for wireworms. We applied the EPF M. brunneum ART2825 together with the sowing of the cover crops in August 2019, quantified the establishment and development of fungal abundance in the soil over the winter and quantified wireworm damage to the subsequent potato crop.

M. brunneum Production in Bulk

The isolate M. brunneum ART2825 originates from an infected A. obscurus larva from the rearing facility of Agroscope, Switzerland in 2008 (Kölliker et al. 2011). Conidia were harvested from A. obscurus cadavers in the Agroscope stock culture to produce single-spore isolates on a selective medium for entomopathogenic fungi (Strasser et al. 1996). Single-spore isolates were used as starting material for mass production of fungus-colonized barley kernels (FCBKs). Conidia were collected by rinsing Petri-dishes with 0.1% (v/v) aqueous Tween80. The fungus was propagated in a sterilized liquid medium (aqueous solution with 3% sucrose, 2.5% yeast extract, 1% peptone, 1% barley flour) incubated at 28°C for five days. Malting barley kernels were boiled for 30 min and autoclaved before inoculation with the liquid culture. FCBKs were produced at 22°C in a solid-state fermenter developed by the Zurich University of Applied Sciences (ZHAW), consisting of a horizontal column reactor (diameter = 50 cm), an air inlet, and a CO2 outlet. FCBK were stored at 4°C until application in the field. The number of conidia per gram FCBKs (fresh weight) was determined by first shaking samples on a vortex for 1 min at 1,250 rpm in 0.1% (v/v) aqueous Tween80 and subsequently counting conidia densities in the supernatant with a haemocytometer. Conidia viability was confirmed within the week of application as described above in Section Effect of Plant Diet on Susceptibility to M. brunneum (Phase 2). In all FCBK used, germination rates exceeded 95%.

Experimental Design and Application Procedure

Experimental winter cover crops consisted of berseem clover and oilseed radish, which were shown to be ill-suited as a nutritional resource for wireworms in the laboratory experiment (see below), and the cover crop mix, which was shown to be favourable for wireworm performance. Additionally, bare fallow was introduced as a fourth ‘cover crop’ treatment to simulate a restricted diet. Cover crop treatments were combined with an M. brunneum soil treatment. M. brunneum was applied as FCBKs manually distributed on the plots (3 m width and 9 m length) at a density of 1014 conidia ha–1 and incorporated into the soil with a rotary harrow (CH) or by rake (SLO) to a depth of 6 cm. Following the application of FCBKs, cover crops were sown by hand at 32 kg ha–1 (mix) or 25 kg ha–1 (clover and radish). In addition to the EPF treatments, the cover crop mix and the bare fallow treatment were also set up in the field without EPF application. Consequently, field tests consisted of a total of six treatments, which were integrated into a completely randomized design with five replicates per treatment (30 plots per field site in total).

Metarhizium Spp. Abundance in the Soil

The abundance of Metarhizium spp. in the soil was determined by counting the number of colony-forming units (CFUs) per gram of soil (Kessler et al. (2003). CFU counts were made before (CFU0) and one month after application (CFU1) as well as 7 months after application (CFU7), shortly before the cover crop was plowed under. We took five randomly located soil samples per plot with a soil core borer (diameter 6 cm, depth 6 cm), pooled the samples and mixed them thoroughly to prepare one, homogenous composite sample per plot. From this substrate, three sub-samples of 20 g were taken and individually suspended in 0.18% Na4P2O7 and dispersed on a selective medium in Petri dishes (Strasser et al. 1996). Petri dishes were incubated in darkness at 22 °C and 70% RH. The water content of each soil sample was measured gravimetrically. After 2 wk, colonies were counted and the number of CFUs per gram of soil (dry weight) was calculated. The median of three Petri dishes from each plot was used for analysis.

Evaluation of Wireworm Damage

In April 2020, potatoes (Variety Agria (CH) or Savinja (SLO)) were planted on the experimental fields in four rows per plot (distance between rows 0.75 m), following plowing of winter cover crop treatments. Wireworm damage was evaluated at harvest in August 2020 by visual inspection of potato tubers for holes caused by wireworm feeding. Damage was determined according to the European and Mediterranean Plant Protection Organization (EPPO) standards PP1/46 (Anonymous 2005) by sampling 100 tubers per plot. Tubers were taken randomly from the two inner potato rows (BBCH 99; Hack et al. 1993). They were into undamaged tubers (no wireworm feeding holes visible) and damaged (one or more feeding holes visible).

Statistical Analysis

The statistical software R (version 4.1.0; R Core Team, 2021) was used for all analyses, and package ‘ggplot2’ (version 3.3.3, 2020, (Wickham et al. 2016)) for all figures. Effects of plant diet on larval development of A. obscurus were tested with linear models fitted by the Laplace approximation, using the package ‘lme4’ (version 1.1-27, 2021; Bates et al. [2015]), with an increase in weight (mg) or head capsule width (mm) during eight weeks of feeding as the response variable. Fixed effects were plant diet, start weight/head capsule width, and replicate. Multiple comparisons among the plant diets were performed using Tukey contrasts in the package ‘multcomp’ (version 1.4-17, 2021, Hothorn et al. [2008]).

A multivariate cox model was fitted to estimate the proportional hazard ratio for wireworm mortality due to fungal infection depending on the plant diet in the laboratory experiment. For this, the package ‘survival’ (version 3.2.11, 2021, Therneau and Grambsch [2000], Therneau [2020]) was used. Plant diet, origin (wireworm taken from single pots or reserve), and replicate (Rep 1 or 2) were included as fixed effects. The difference in test duration of the two replicates was accounted for in the model through censoring. The proportional hazard assumption of the cox model was tested based on the scaled Schoenfeld residuals. To perform a multiple comparison among means of the plant diet groups, Tukey contrasts were used (package ‘multcomp’ [version 1.4-17, 2021, Hothorn et al. (2008)]).

Fig. 2.

The increase in weight (A) and head capsule width (B) of A. obscurus larvae after eight weeks of feeding on the respective plant diets: roots of berseem clover (Clover), cover crop mix (Mix), bristle oat (Oat), or oilseed radish (Radish) (all provided ad libitum), and potato slices renewed every three weeks and available for 2 d (Potato restricted). For each plant diet in both replicates (Rep 1, Rep 2) n = 30. Boxplots show the median (central line) and the 25% and 75% quantiles. Different letters indicate significant differences among plant diets at p ≤ 0.05 in posthoc Tukey tests.

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General linear models were fitted to analyze changes in fungal abundance in the soil. To test for heterogeneities among plots in natural Metarhizium abundance in the soil, the CFUs g–1 soil before application (CFU0) were analyzed with a type 2 ANOVA (package ‘car’ [version 3.0-10, 2020, Fox and Weisberg (2019)]) with terms for location and planned treatment. To analyze the increase of CFUs one month after application (CFU1-CFU0), the model included FCBK application (yes/no) and location (CH/SLO) as fixed effects. To investigate changes in total fungal abundance over time, the model additionally included the fixed effect sampling time after application (1/7 mo). As a second step, the influence of soil cover was assessed separately for plots with and without FCBK application, as not all soil cover treatments were included in the treatment without FCBK application, i.e., Bare fallow + no FCBK, Mix + no FCBK, Bare fallow + FCBK, Mix + FCBK, Radish + FCBK, Clover + FCBK. Total amounts of CFUs were tested with soil cover and location as fixed factors for each sampling date in a separate model, using a type 2 ANOVA (package ‘car’ [version 3.0-10, 2020, Fox and Weisberg (2019)]). Data transformation was performed when necessary to meet the model assumptions of normality of residuals, using cube transformation for the increase in CFUs and log transformation for the total numbers of CFUs after application.

Damage to potatoes was analyzed with a logistic regression (generalized linear model) with the count of damaged (one or more feeding holes)/undamaged (no feeding holes) potatoes as a dependent variable and the treatment (the combination of soil cover and FCBK application) as fixed effect as well as the location of the field site (Slovenia/Switzerland) (‘lme4’ [version 1.1-27, 2021; Bates et al. (2015)]). A multiple comparison among means of the plant diet groups was performed using the Tukey method (package ‘multcomp’version1.4-17,2021,Hothornetal.[2008]).Assumptions for all linear models (linearity, normality, homoscedasticity) were visually examined.

Results

Plant Diet Effects on Wireworm Performance

Wireworm Development and Plant Diet

During eight weeks of feeding, wireworms on average increased in head capsule width (on average 36% of initial width) and weight (on average 127% of initial weight) on all plant diets (Fig. 2). There were statistically significant effects of both plant diet and replicate on the increase of larval weight and head capsule width (Table 1). For weight increase, Tukey posthoc comparison of plant diet groups revealed a significant difference of oats and the mixed diet from all other plant diets. Wireworms feeding on these diets showed a higher weight increase (mix–potato restricted: t = 6.46, p < 0.001; mix–clover: t = 5.42, p < 0.001; mix–radish: t = 7.05, p < 0.001; oat–potato restricted: t = 6.54, p < 0.001; oat–clover: t = 5.54, p < 0.001; oat–radish: t = 7.61, p < 0.001; n = 30). In contrast, head capsule widths were only significantly different for the mixed diet in comparison with clover (t = 3.65, p = 0.003) radish (z = 4.06, p < 0.001) and potato restricted (t = 4.57, p < 0.001) (Fig. 2, n = 30). In replicate 2 larvae gained less weight (on average 52% of initial weight) compared to replicate 1 (on average 211% of initial weight (t = –4.05, p < 0.001).

Susceptibility Tests: Wireworm Mortality After Exposure to M. brunneum

Compared to the untreated control, all fungus-treated groups had a higher hazard of mortality (potato restricted: z = 2.46, p = 0.01; clover: z = 2.75, p < 0.01; oat: z = 2.73, p < 0.01; radish: z = 3.8, p < 0.001; mix: z = 3.62, p < 0.001; n = 30). Replicate and origin of wireworms (whether from single pots or the reserve pot in phase 1) did not have a significant effect (replicate: z = –0.59, p = 0.56, origin: z = 1.6, p = 0.11). Even though multiple comparisons among plant diet means were not statistically significant in the fungus-treated groups, mortality hazard ratios calculated from the model showed tendencies. The radish and mixed plant diets had the highest risk of mortality after EPF exposure (Fig. 3). Cumulative mortalities in the plant diet groups were: untreated control 8.3%, potato restricted 33.3%; clover 38.3%, oat 36.7%; radish 41.7%, and mix 53.3%. In all groups exposed to M. brunneum, wireworm cadavers developed Metarhizium mycosis (Rep 1 = 84%, Rep 2 = 68%). None of the wireworms dying in the untreated group developed Metarhizium mycosis.

Table 1.

Results of analysis of variance for the increase in larval weight and head capsule width among wireworms feeding on different plant diets for eight weeks

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Fig. 3.

Forest plot showing the effect of plant diet on wireworm mortality due to subsequent treatment with M. brunneum ART2825. The hazard ratio (HR), calculated with a multivariate cox model, displays the mortality hazard of the fungus-treated groups in relation to the untreated control. Vertical line (HR = 1, no effect) represents the untreated control. HR > 1 indicates an increase in mortality hazard due to fungal treatment. Black squares indicate the mean hazard ratio, horizontal lines the 95% confidence interval. For each group n = 30.

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Effects on Wireworm Field Damage

Occurrence of Metarhizium in Field Soils

The abundance of natural Metarhizium in soil at the beginning of the trials differed significantly in the two experimental sites (F = 82.71, df = 1, p < 0.001; n = 5). More Metarhizium colonies were found at the site in Slovenia, in the range 603–7699 CFUs g–1 soil (dry weight), compared to a range of 0–2,697 CFUs g–1 soil in Switzerland (Fig. 4). Plots assigned to different treatments did not initially differ in Metarhizium abundance (F = 0.766, df = 5, p = 0.578).

There was a strong increase in the abundance of CFUs one month after application (CFU1–CFU0) in FCBK-treated plots (t = 11.85, p < 0.001). Despite the large difference in the natural Metarhizium abundance between the sites, the increase in CFUs after application was similar in both locations (t = 1.51, p = 0.137). Metarhizium abundance did not change significantly over the winter (CFU7, t = –0.046, p = 0.963). Soil cover treatment did not have a statistically significant effect on Metarhizium abundance in untreated or FCBK-treated plots on either sampling date (untreated: CFU1: F = 0.59, df = 1, p = 0.452; CFU7: F = 0.01, df = 1, p = 0.927; FCBK: CFU1: F = 0.85, df = 3, p = 0.475; CFU7: F = 0.42, df = 3, p = 0.739).

Wireworm Damage to Potatoes

Wireworm damage was found in all plots at both locations (Fig. 5, n = 5). Damage in plots without fungal treatment was similar to plots with (cover crop mix) and without plant cover (bare fallow) (z = 1.83, p = 0.068). Compared to the bare fallow with no fungal treatment, wireworm damage was significantly reduced in the fungus-treated plots with soil cover radish (z = –3.06, p = 0.002) and clover (z = –2.42, p = 0.015) but not in bare fallow (z = –0.33, p = 0.745) or mix plots (z = 1.39, p = 0.165).

Discussion

Results from the laboratory experiment showed that the plant diet influenced wireworm weight gain and development of the head capsule width. We found enhanced weight gain and faster development in wireworm feeding on the cover crop mix than on any single plant diet. While wireworms feeding on oat also gained significantly more weight than other single plant diets, an increase in head capsule width, indicating transitions between larval stages, was similar to the other diets. Food deprivation by time-limited availability of nutritional resources (the potato restricted diet) had similar effects as the ill-suited plant diets. In addition, wireworm performance was different in the two replicates. Older wireworms used in replicate 2 (initially larval instar 6) gained less weight and head capsule width during the same time period than the younger wireworms used in replicate 1 (initially instar 4 and 5). There is evidence from a previous study that the time needed to complete the development of a particular instar increases with larval age (Sufyan et al. 2017). We can conclude that starvation of wireworms, simulated by the potato restricted diet, and exposing wireworms to ill-suited nutritional resources, like radish or clover, have similar negative influences on wireworm performance.

Fig. 4.

Abundance of Metarhizium spp. (CFUs per gram soil dry weight, median of three sub-samples) at the experimental sites in Switzerland (CH) and Slovenia (SLO) on three sampling dates. Plots were treated with M. brunneum ART2825 (FCBK yes) or left untreated (FCBK no) and had one of three over-winter soil covers applied (bare fallow, cover crop mix, oilseed radish, berseem clover; n = 5).

img-z7-1_108.jpg

Following our hypothesis, starved wireworms and those fed on ill-suited plant diets should have shown an increased susceptibility to Metarhizium infection. This was, however, not the case in our susceptibility assay. Wireworms from all plant diet groups had a similar risk of dying from Metarhizium infection. If anything, mortality was slightly (although not significantly) elevated in wireworms feeding on the radish and mixed plant diets, which represent contrasting extremes in terms of suitability as plant diets for wireworms, according to the performance test. Radish was among the ill-suited diets, while the cover crop mix was the best diet, i.e., showing a significant increase in weight and speed of development. Insect responses to multiple stressors such as starvation and pathogen challenges are generally hard to predict. For example, work on the caterpillar Manduca sexta (L.) (Lepidoptera: Sphingidae) has shown that food deprivation and low quality food reduce resistance to bacteria but have less effect on resistance to fungi (Adamo et al. 2016). Furthermore, although counterintuitive, facing one stressor can be beneficial for dealing with a second one, since physiological responses may already be activated and are not always specific to one type of stressor (Adamo 2021). Previous studies on wireworms' risk of infection with entomopathogenic fungi point in the same direction: heavier wireworms show greater mortality from Metarhizium infection (Van Herk and Vernon 2011) and the availability of food increases the incidence of Metarhizium infections of A. obscurus in storage (van Herk et al. 2016). It is, however, not clear if these results were an effect of the plant diet itself, or of other factors such as changes in foraging behavior induced by food availability (see also our field results below).

In conclusion, it appears to be possible to influence wireworm performance negatively by starvation or by exposing them to ill-suited plant diets, but the influence of such measures on immune defense remains unclear. Further studies are needed to clarify whether a diet of ill-suited plants may enhance susceptibility to fungal infection, or whether wireworms are more prone to succumb to pathogens when foraging on optimal nutritional resources. This leads us to the next question, whether imposing ill-suited plants during over-wintering in the field results in higher wireworm susceptibility to Metarhizium and lower crop damage.

Fig. 5.

Proportion of wireworm-damaged potatoes (among 100 tubers sampled per plot) in Switzerland (CH) and Slovenia (SLO) in plots treated with M. brunneum ART2825 (FCBK yes) and untreated plots (FCBK no) with different soil covers preceding potatoes (bare fallow, cover crop mix, oilseed radish, berseem clover). For each soil cover and treatment combination in the two locations n = 5. Boxplots show the median (central line), the 25 and 75% quantile, and the mean (black point). Different letters indicate significant differences among soil cover and treatment combinations at p ≤ 0.05 in posthoc Tukey tests.

img-z8-1_108.jpg

In our field experiments, six different combinations of soil covers and fungus treatments were put in place. Even though wireworm damages were not highly reduced in any treatment, overall, a statistically significant reduction in damage was observed in fungus-treated radish and clover plots. However, since it was impossible to test all soil covers with and without fungus application, the effect of the fungus application in the set up remains unclear (Fig. 4). Metarhizium abundance in the soil was not influenced by the soil cover and plots treated with M. brunneum and untreated plots with the same soil cover (cover crop mix or bare fallow) showed similar levels of damage to the potato crop.

Furthermore, the field results only partially support trends observed in the laboratory susceptibility test. In the laboratory experiments, the risk of mortality after exposure to M. brunneum was at least slightly enhanced for the radish and mixed plant diets, and consequently we expected lower levels of damage to potatoes in plots with these cover crops. While this was indeed the case for potatoes planted after radish, the damage recorded after the cover crop mix was the highest among all treatments. These discrepancies between laboratory and field results may be explained by the limitations in space and time of the laboratory setting. Wireworms were kept in small containers in the laboratory, restricting the space for movement and potentially compromising natural behavior of the test insects. Avoidance of fungus-treated areas (Kabaluk and Ericsson 2007) is virtually impossible in these cups, and natural foraging behavior might be impeded. For example, it has been shown that wireworms produce different numbers and extent of burrows in the soil depending on the plant species present (Booth et al. 2020). Higher mobility may have enhanced the chance of contact with fungal spores in the soils of field plots, while our limited laboratory set-up did not allow observation of effects related to the movement of wireworms. Additionally, wireworms were feeding on growing plants in the field experiments, while they were offered seedlings or root cuttings during laboratory susceptibility tests. We cannot exclude that wireworms reacted differently to seedlings or root cuttings than to growing plants. Plant defense often changes during ontogenesis (Barton and Koricheva 2010) as well as when tissue damage occurs (Rasmann and Agrawal 2008). Lastly discrepancies may also be attributed to commonly occurring mixed species communities (Traugott et al. 2015) in the field, whereas only one species (A. obscurus) was tested in the laboratory. Nevertheless, overall it seems more probable that the reduced potato damage in the field originated from direct plant effects rather than from diet-mediated changes to wireworm susceptibility to M. brunneum.

Plant-mediated effects on wireworm damage have previously been tested for buckwheat, Fagopyrum esculentum (Moench) (Polygonaceae: Fagopyrum), (Bohorquez Ruiz et al. 2019), mustard, Brassica juncea, (L.) (Brassicales: Brassicaceae) (MacKenzie et al. 2010), marigold, Tagetes spp. (Asterales: Asteraceae), and calendula, Calendula officinalis (L.) (Asterales: Asteraceae) (Schepl and Paffrath 2007), but field results in these studies were mostly inconclusive. In general, host plants can directly affect insect performance through their nutrient content, with low-quality food leading to slower development, reduced lifespan, and lower fecundity (Barnett and Johnson 2013), as well as through secondary metabolites. Secondary metabolites are organic compounds that are strongly involved in the plant's defense (Erb and Kliebenstein 2020). They can be toxic compounds (Sirikantaramas et al. 2008) or act in a regulating function for example by promoting the deposition of callose in the cell wall (Clay et al. 2009) or by inducing systemic resistance (Erb et al. 2015). In contrast to specialist herbivores that have evolved mechanisms to cope with these defense systems such as detoxification processes, generalist herbivores, like wireworms, may avoid these plants or dilute their effects by mixing their diet. In this way, they are able to reduce the consumption of toxins that occur in single plant species and gain further benefits from greater resource availability as well as the possibility to balance nutrient intake (Unsicker et al. 2008). Consequently, the physiological costs for generalists to overcome host defense may be higher when there is no choice and the host plant community is only composed of defended plants (Ali and Agrawal 2012, Thiel et al. 2020). This may have been the case in our field experiment, where the highest potato damage was recorded in plots with a mix of cover crops, whereas damage in clover and radish plots with EPF treatment was significantly lower.

Both clover and radish produce prominent secondary metabolites, namely isoflavonoids common in Leguminosae (Veitch 2013) and glucosinolates, defense compounds of the Brassicaceae (Essoh et al. 2020). Isoflavonoids have been described for their deterrent effects on generalist root herbivores (Johnson and Nielsen 2012). Glucosinolates come into contact with the plant enzyme myrosinase upon tissue damage, leading to the production of isothiocyanates and other biochemically active compounds (Halkier and Gershenzon 2006). Toxic and deterrent effects of these compounds have been widely documented for aboveground insect herbivores. Even though fewer studies have been performed for belowground herbivory (Sontowski et al. 2019), it is likely that they react similarly (Van Dam et al. 2009), especially as the content of glucosinolates is often higher in roots than in shoots (Tsunoda et al. 2018).

While the combination of EPF and oilseed radish resulted in a statistically significant reduction of wireworm damage in our study, the proportion of potatoes showing wireworm damage was still high (mean 17 ± 9%). Nevertheless, oilseed radish as a winter cover crop preceding potato may be a valuable and easy to apply tool in an integrated wireworm control strategy.

It is worth noting that the potato damage in bare fallow plots was not lower than that in plots with cover crops, contrary to what is sometimes suggested in agricultural guides (e.g., Funk 2018, Stammschröer 2018). This indicates that even over-winter periods of food deprivation do not substantially lower wireworm populations. Similar results have been obtained in other studies. In a 5-yr field trial comparing nontillage with winter cover crops to conventional tillage practices without cover crops and a thorough literature review, Furlan et al. (2021) concluded that interactions between wireworms and crop species cannot be generalized. Wireworm damage may be increased, decreased or invariable depending on the soil cover. Furlan et al. (2021) further found that diversified crop rotations including cover crops are favorable for soil biodiversity and thus may even encourage wireworm suppression.

In summary, there is strong evidence that wireworm foraging and feeding behavior can be influenced by the choice of the cover crop, and this might facilitate wireworm control. We were able to show that cover crops affected larval development and damage levels in potato. Even though the effects of cover crops on susceptibility to Metarhizium infection require further examination, perhaps including other plant species, it is worth recognizing forage plants as a potential factor when planning control setups. Some studies have already acknowledged this, for example in using trap crops (Landl and Glauninger 2013, Sharma et al. 2019) or attract-and-kill approaches using plants (Vernon et al. 2016) and forage search triggers (Brandl et al. 2017, La Forgia et al. 2021). Nevertheless, to successfully include selected forage crops in the plant protection system, it is necessary to further assess wireworm feeding behavior and to understand the underlying mechanisms of the effects of plant diet on wireworm survival.

Acknowledgments

We are grateful to the farmers who collaborated with us in this study: Manuel Kilchenmann and Andrej Kralj. Special thanks go to Daniel Morf for his help with greenhouse and field experiments and Christian Schweizer for his support with wireworm rearing. A warm thank you also to the statistical consulting team from ETH Zurich and Russell Naisbit for proofreading the manuscript. This research was conducted in the course of an Innosuisse Life Science project. L.R. received funding from Innosuisse, the Swiss Innovation Agency, via Life Science project 19811_PFLS-LS. E.P. and J.R. received funding from the Slovenian Research Agency (ARRS), grant 100-18-0401, P4-0072, and P4-0431, respectively.

Author Contributions

LR and GG conceived research. LR, EP, and JR conducted experiments. SB and GG contributed material. LR and SB analyzed data and conducted statistical analyses. LR wrote the manuscript. EP, JR, SB, and GG reviewed and edited the manuscript. JR and GG secured funding.

Data Availability

The datasets generated during and analyzed during the current study are available from the corresponding author on reasonable request.

References Cited

1.

Adamo, S. A. 2021. How insects protect themselves against combined starvation and pathogen challenges, and the implications for reductionism. Comp. Biochem. Physiol. Pt. B Biochem. Mol. Biol. 255: 110564. Google Scholar

2.

Adamo, S. A., G. Davies, R. Easy, I. Kovalko, and K. F. Turnbull . 2016. Reconfiguration of the immune system network during food limitation in the caterpillar Manduca sexta. J. Exp. Biol. 219: 706–718.  https://doi.org/10.1242/jeb.132936 Google Scholar

3.

Ali, J. G., and A. A. Agrawal . 2012. Specialist versus generalist insect herbivores and plant defense. Trends Plant Sci. 17: 293–302.  https://doi.org/10.1016/j.tplants.2012.02.006 Google Scholar

4.

Antwi, F. B., G. Shrestha, G. V. Reddy, and S. T. Jaronski . 2018. Entomopathogens in conjunction with imidacloprid could be used to manage wireworms (Coleoptera: Elateridae) on spring wheat. Can. Entomol. 150: 124–139. Google Scholar

5.

Barnett, K., and S. N. Johnson . 2013. Living in the soil matrix: abiotic factors affecting root herbivores. Adv. Insect Phys. 45: 1–52. Google Scholar

6.

Barton, K. E., and J. Koricheva . 2010. The ontogeny of plant defense and herbivory: characterizing general patterns using meta-analysis. Am. Nat. 175: 481–493.  https://doi.org/10.1086/650722 Google Scholar

7.

Bates, D., M. Maechler, B. Bolker, and S. Walker . 2015. Fitting Linear Mixed-Effects Models Using lme4. J. Stat. Softw. 67: 1–48. Google Scholar

8.

Bohorquez Ruiz, Y. L., I. M. Scott, and J. N. McNeil . 2019. The buckwheat effect: a biopesticide for Wireworm? J. Econ. Entomol. 112: 625–632.  https://doi.org/10.1093/jee/toy366 Google Scholar

9.

Booth, S., B. Kurtz, M. I. de Heer, S. J. Mooney, and C. J. Sturrock . 2020. Tracking wireworm burrowing behaviour in soil over time using 3D X-ray computed tomography. Pest Manag. Sci. 76: 2653–2662.  https://doi.org/10.1002/ps.5808 Google Scholar

10.

Brandl, M. A., M. Schumann, M. Przyklenk, A. Patel, and S. Vidal . 2017. Wireworm damage reduction in potatoes with an attract-and-kill strategy using Metarhizium brunneum. J. Pest Sci. 90: 479–493. Google Scholar

11.

Bruck, D. J. 2009. Fungal entomopathogens in the rhizosphere, pp. 103–112. In The ecology of fungal entomopathogens. Springer. Google Scholar

12.

Canali, S., C. Ciaccia, and F. Tittarelli . 2012. Soil fertility management in organic potato: the role of green manure and amendment applications, pp. 453–469. In Sustainable potato production: global case studies. Springer. Google Scholar

13.

Clay, N. K., A. M. Adio, C. Denoux, G. Jander, and F. M. Ausubel . 2009. Glucosinolate metabolites required for an Arabidopsis innate immune response. Science. 323: 95–101.  https://doi.org/10.1126/science.1164627 Google Scholar

14.

Cory, J. S., and K. Hoover . 2006. Plant-mediated effects in insect–pathogen interactions. Trends Ecol. Evol. 21: 278–286.  https://doi.org/10.1016/j.tree.2006.02.005 Google Scholar

15.

Dobrovolsky, B. 1970. Biological grounds for plant protection against wireworms in in the USSR. Pedobiologia. 10: 26–44. Google Scholar

16.

Eckard, S., M. A. Ansari, S. Bacher, T. M. Butt, J. Enkerli, and G. Grabenweger . 2014. Virulence of in vivo and in vitro produced conidia of Metarhizium brunneum strains for control of wireworms. Crop Prot. 64: 137–142.  https://doi.org/10.1016/j.cropro.2014.06.017 Google Scholar

17.

EFSA. 2017. EFSA Guidance Document for predicting environmental concentrations of active substances of plant protection products and transformation products of these active substances in soil: This guidance published on 19 October 2017 replaces the earlier version published on 28 April 2015. EFSA J . 10: e04982. Google Scholar

18.

Erb, M., and D. J. Kliebenstein . 2020. Plant secondary metabolites as defenses, regulators, and primary metabolites: the blurred functional trichotomy. Plant Physiol. 184: 39–52.  https://doi.org/10.1104/pp.20.00433 Google Scholar

19.

Erb, M., N. Veyrat, C. A. Robert, H. Xu, M. Frey, J. Ton, and T. C. Turlings . 2015. Indole is an essential herbivore-induced volatile priming signal in maize. Nat. Commun. 6: 1–10.  https://doi.org/10.1038/ncomms7273 Google Scholar

20.

Essoh, A. P., F. Monteiro, A. R. Pena, M. S. Pais, M. Moura, and M. M. Romeiras . 2020. Exploring glucosinolates diversity in Brassicaceae: a genomic and chemical assessment for deciphering abiotic stress tolerance. Plant Physiol. Biochem. 150: 151–161.  https://doi.org/10.1016/j.plaphy.2020.02.032 Google Scholar

21.

de Faria, M. R., and S. P. Wraight . 2007. Mycoinsecticides and mycoacaricides: a comprehensive list with worldwide coverage and international classification of formulation types. Biol. Control 43: 237–256. Google Scholar

22.

Fox, J., and S. Weisberg . 2019. An {R} companion to applied regression , 3rd ed. Sage, Thousa nd Oaks CA. Google Scholar

23.

Funk, J. 2018. The Wily Wireworm: an unpredictable pest.  https://seedworld.com/wily-wireworm-unpredictable-pest/  Google Scholar

24.

Furlan, L., B. Contiero, F. Chiarini, M. Colauzzi, E. Sartori, I. Benvegnu, F. Fracasso, and P. Giandon . 2017. Risk assessment of maize damage by wireworms (Coleoptera: Elateridae) as the first step in implementing IPM and in reducing the environmental impact of soil insecticides. Environ. Sci. Pollut Res. Int. 24: 236–251. Google Scholar

25.

Furlan, L., I. Milosavljević, F. Chiarini, and I. Benvegnù . 2021. Effects of conventional versus no-tillage systems on the population dynamics of elaterid pests and the associated damage at establishment of maize crops. Crop Prot. 149: 105751. Google Scholar

26.

Gallardo, F., D. Boethel, J. Fuxa, and A. Richter . 1990. Susceptibility of Heliothis zea (Boddie) larvae to Nomuraea rileyi (Farlow) Samson. J. Chem. Ecol. 16: 1751–1759. Google Scholar

27.

Gatarayiha, M. C., M. D. Laing, and R. M. Miller . 2010. Effects of crop type on persistence and control efficacy of Beauveria bassiana against the two spotted spider mite. BioControl. 55: 767–776.  https://doi.org/10.1007/s10526-010-9293-y Google Scholar

28.

Graham, R. I., J. M. Deacutis, T. Pulpitel, F. Ponton, S. J. Simpson, and K. Wilson . 2014. Locusts increase carbohydrate consumption to protect against a fungal biopesticide. J. Insect Physiol. 69: 27–34.  https://doi.org/10.1016/j.jinsphys.2014.05.015 Google Scholar

29.

Hack, H., H. Gall, T. Klemke, R. Klose, U. Meier, R. Stauss, and A. Witzenberger . 1993. Phänologische Entwicklungsstadien der Kartoffel (Solanum tuberosum L.) Codierung und Beschreibung nach der erweiterten BBCH Scala mit Abbildungen. Nachr. Bl. Dtsch. Pflanzenschutzd. 45: 11–19. Google Scholar

30.

Halkier, B. A., and J. Gershenzon . 2006. Biology and biochemistry of glucosinolates. Annu. Rev. Plant Biol. 57: 303–333.  https://doi.org/10.1146/annurev.arplant.57.032905.105228 Google Scholar

31.

Hothorn, T., F. Bretz, and P. Westfall . 2008. Simultaneous inference in general parametric models. Biom. J. J. Math. Methods Biosci. 50: 346–363. Google Scholar

32.

ISO (International Organization for Standardization). 2012. Soil quality — effects of pollutants on earthworms — part 2: determination of effects on reproduction of Eisenia fetida/Eisenia andrei. No. 11268-2. ISO. Geneve. Google Scholar

33.

Jaronski, S. T. 2007. Soil ecology of the entomopathogenic ascomycetes: a critical examination of what we (think) we know, pp. 91–143. In Use of entomopathogenic fungi in biological pest managementGoogle Scholar

34.

Johnson, S. N., and U. N. Nielsen . 2012. Foraging in the dark - chemically mediated host plant location by belowground insect herbivores. J. Chem. Ecol. 38: 604–614.  https://doi.org/10.1007/s10886-012-0106-x Google Scholar

35.

Kabaluk, J. T., and J. D. Ericsson . 2007. Environmental and behavioral constraints on the infection of wireworms by Metarhizium anisopliae. Environ. Entomol. 36: 1415–1420.  https://doi.org/10.1603/0046-225x(2007)36[1415:eabcot]2.0.co;2 Google Scholar

36.

Keller, S. 1986. Control of May beetle grubs (Melolontha melolontha L.) with the fungus Beauveria brongniartii (Sacc.) Petch. In Robert A. Samson, Just M. Vlak, and Dick Peters (eds.), Fundamental and applied aspects of invertebrate pathologyGoogle Scholar

37.

Keller, S. 2000. Use of Beauveria brongniartii in Switzerland and its acceptance by farmers. Bull. OILB/SROP. 23: 67–71. Google Scholar

38.

Kessler, P., H. Matzke, and S. Keller . 2003. The effect of application time and soil factors on the occurrence of Beauveria brongniartii applied as a biological control agent in soil. J. Invertebr. Pathol. 84: 15–23.  https://doi.org/10.1016/j.jip.2003.08.003 Google Scholar

39.

Khan, M. A., and W. Ahmad . 2019. Microbes for sustainable insect pest management: an eco-friendly approach, vol. 1. Springer. Google Scholar

40.

Klausnitzer, B. 1994. Familie Elateridae, pp. 118–189. In B. Klausnitzer (ed.), Die Larven der Käfer Mitteleuropas. Gustav Fischer Verlag, Jena, Germany. Google Scholar

41.

Kölliker, U., W. Jossi, and S. Kuske . 2009. Optimised protocol for wireworm rearing. IOBC/WPRS Bull. 45: 457–460. Google Scholar

42.

Kölliker, U., L. Biasio, and W. Jossi . 2011. Potential control of Swiss wireworms with entomopathogenic fungi. IOBC/WPRS Bull . 66: 517–520. Google Scholar

43.

La Forgia, D., P. Bruno, R. Campos-Herrera, T. Turlings, and F. Verheggen . 2021. The lure of hidden death: development of an attract-and-kill strategy against Agriotes obscurus (Coleoptera: Elateridae) combining semiochemicals and entomopathogenic nematodes. Turk. J. Zool. 45: 347–355.  https://doi.org/10.3906/zoo-2106-38 Google Scholar

44.

Landl, M., and J. Glauninger . 2013. Preliminary investigations into the use of trap crops to control Agriotes spp. (Coleoptera: Elateridae) in potato crops. J. Pest Sci. 86: 85–90. Google Scholar

45.

MacKenzie, J., J. Nelson, and A. Hammermeister . 2010. Management practices for control of European wireworms in Canada. Google Scholar

46.

Mascarin, G. M., R. B. Lopes, I. Delalibera, Jr , K. K. Fernandes, C. Luz, and M. Faria . 2019. Current status and perspectives of fungal entomopathogens used for microbial control of arthropod pests in Brazil. J. Invertebr. Pathol. 165: 46–53. Google Scholar

47.

Mayerhofer, J., S. Eckard, M. Hartmann, G. Grabenweger, F. Widmer, A. Leuchtmann, and J. Enkerli . 2017. Assessing effects of the entomopathogenic fungus Metarhizium brunneum on soil microbial communities in Agriotes spp. biological pest control. FEMS Microbiol. 93: 10. Google Scholar

48.

Mnyone, L. L., M. J. Kirby, M. W. Mpingwa, D. W. Lwetoijera, B. G. Knols, W. Takken, C. J. Koenraadt, and T. L. Russell . 2011. Infection of Anopheles gambiae mosquitoes with entomopathogenic fungi: effect of host age and blood-feeding status. Parasitol. Res. 108: 317–322. Google Scholar

49.

Ocampo-Hernández, J. A., F. Tamayo-Mejía, P. Tamez-Guerra, Y. Gao, and A. W. Guzmán-Franco . 2019. Different host plant species modifies the susceptibility of Bactericera cockerelli to the entomopathogenic fungus Beauveria bassiana. J. Appl. Entomol. 143: 984–991. Google Scholar

50.

OECD. 2016. Test no. 226: predatory mite (Hypoaspis (Geolaelaps) aculeifer) reproduction test in soil. In OECD Guidelines for the Testing of Chemicals, Section 2 edn. OECD Publishing, Paris.  https://doi.org/10.1787/9789264264557-en  Google Scholar

51.

Olleka, A., N. Mandour, and S. Ren . 2009. Effect of host plant on susceptibility of whitefly Bemisia tabaci (Homoptera: Aleyrodidae) to the entomopathogenic fungus Beauveria bassiana (Ascomycota: Hypocreales). Biocontrol Sci. Technol. 19: 717–727.  https://doi.org/10.1080/09583150903042843 Google Scholar

52.

Pristavko, V., and N. Dovzhenok . 1974. Ascorbic acid influence on larval blood cell number and susceptibility to bacterial and fungal infection in the codling moth, Laspeyresia pomonella (Lepidoptera: Tortricidae). J. Invertebr. Pathol. 24: 165–168.  https://doi.org/10.1016/0022-2011(74)90006-8 Google Scholar

53.

Rasmann, S., and A. A. Agrawal . 2008. In defense of roots: a research agenda for studying plant resistance to belowground herbivory. Plant Physiol. 146: 875–880.  https://doi.org/10.1104/pp.107.112045 Google Scholar

54.

R Core Team. 2021. R: A language and environment for statistical computing . R Foundation for Statistical Computing, Vienna, Austria. Google Scholar

55.

Reinbacher, L., S. Bacher, F. Knecht, C. Schweizer, T. Sostizzo, and G. Grabenweger . 2021. Preventive field application of Metarhizium brunneum in cover crops for wireworm control. Crop Prot . 150: 105811.  https://doi.org/10.1016/j.cropro.2021.105811 Google Scholar

56.

Riba, G., and A. M. Ravelojoana . 1984. The parasexual cycle in the entomopathogenic fungus Paecilomyces fumoso-roseus (Wize) Brown and Smith. Can. J. Microbiol. 30: 922–926.  https://doi.org/10.1139/m84-144 Google Scholar

57.

Ritter, C., and E. Richter . 2013. Control methods and monitoring of Agriotes wireworms (Coleoptera: Elateridae). JPDP. 120: 4–15. Google Scholar

58.

Rogge, S. A., J. Mayerhofer, J. Enkerli, S. Bacher, and G. Grabenweger . 2017. Preventive application of an entomopathogenic fungus in cover crops for wireworm control. BioControl. 62: 613–623.  https://doi.org/10.1007/s10526-017-9816-x Google Scholar

59.

de Roode, J. C., and M. D. Hunter . 2019. Self-medication in insects: when altered behaviors of infected insects are a defense instead of a parasite manipulation. Curr. Opin. Insect Sci. 33: 1–6.  https://doi.org/10.1016/j.cois.2018.12.001 Google Scholar

60.

Santiago-Álvarez, C., E. A. Maranhão, E. Maranhão, and E. Quesada-Moraga . 2006. Host plant influences pathogenicity of Beauveria bassiana to Bemisia tabaci and its sporulation on cadavers. BioControl. 51: 519–532.  https://doi.org/10.1007/s10526-005-5737-1 Google Scholar

61.

Schallhart, N., M. Tusch, K. Staudacher, C. Wallinger, and M. Traugott . 2011. Stable isotope analysis reveals whether soil-living elaterid larvae move between agricultural crops. Soil Biol. Biochem. 43: 1612–1614.  https://doi.org/10.1016/j.soilbio.2011.03.024 Google Scholar

62.

Schallhart, N., M. J. Tusch, C. Wallinger, K. Staudacher, and M. Traugott . 2012. Effects of plant identity and diversity on the dietary choice of a soil-living insect herbivore. Ecology. 93: 2650–2657.  https://doi.org/10.1890/11-2067.1 Google Scholar

63.

Schepl, U., and A. Paffrath . 2007. Erprobung von Strategien zur Drahtwurmregulierung im Ökologischen Kartoffelbau. Google Scholar

64.

Schmidt, J. H., M. R. Finckh, and J. Hallmann . 2017. Oilseed radish/black oat subsidiary crops can help regulate plant-parasitic nematodes under non-inversion tillage in an organic wheat-potato rotation. Nematology. 19: 1135–1146.  https://doi.org/10.1163/15685411-00003113 Google Scholar

65.

Sharma, A., G. Shrestha, and G. V. Reddy . 2019. Trap crops: how far we are from using them in cereal crops? Ann. Entomol. Soc. Am. 112: 330–339. Google Scholar

66.

Sharma, A., S. Jaronski, and G. V. Reddy . 2020. Impact of granular carriers to improve the efficacy of entomopathogenic fungi against wireworms in spring wheat. J. Pest Sci. 93: 275–290. Google Scholar

67.

Shikano, I., C. Rosa, C. -W. Tan, and G. W. Felton . 2017. Tritrophic interactions: microbe-mediated plant effects on insect herbivores. Annu. Rev. Phytopathol. 55: 313–331.  https://doi.org/10.1146/annurev-phyto-080516-035319 Google Scholar

68.

Simpson, S. J., and D. Raubenheimer . 2001. The geometric analysis of nutrient–allelochemical interactions: a case study using locusts. Ecology. 82: 422–439.  https://doi.org/10.2307/2679870 Google Scholar

69.

Sirikantaramas, S., M. Yamazaki, and K. Saito . 2008. Mechanisms of resistance to self-produced toxic secondary metabolites in plants. Phytochem. Rev. 7: 467–477. Google Scholar

70.

Skinner, M., B. L. Parker, and J. S. Kim . 2014. Role of entomopathogenic fungi in integrated pest management. Integr Pest Manag . 10: 169–191.  https://doi.org/10.1016/B978-0-12-398529-3.00011-7 Google Scholar

71.

Sontowski, R., N. J. Gorringe, S. Pencs, A. Schedl, A. J. Touw, and N. M. van Dam . 2019. Same difference? Low and high glucosinolate Brassica rapa varieties show similar responses upon feeding by two specialist root herbivores. Front. Plant Sci. 10: 1451.  https://doi.org/10.3389/fpls.2019.01451 Google Scholar

72.

Stammschröer, K. 2018. So kämpfen Donaueschinger Forscher gegen einen gefürchteten Kartoffel-Schädling.  https://www.suedkurier.de/region/schwarzwald/donaueschingen/So-kaempfen-Donaueschinger-Forscher-gegen-einen-gefuerchteten-Kartoffel-Schaedling;art372512,9936674  Google Scholar

73.

Strasser, H., A. Forer, and F. Schinner . 1996. Development of media for the selective isolation and maintenance of viruIence of Beauveria brongniartii. In Proceedings of the 3rd International Workshop on Microbial Control of Soil Dwelling Pests , Lincoln, New Zealand: 21–23. Google Scholar

74.

Sufyan, M., D. Neuhoff, and L. Furlan . 2014. Larval development of Agriotes obscurus under laboratory and semi-natural conditions. Bull. Insectol. 67: 227–235. Google Scholar

75.

Sufyan, M., A. Abbasi, M. D. Gogi, M. Arshad, A. Nawaz, and D. Neuhoff . 2017. Efficacy of Beauveria bassiana for the management of economically important wireworm species (Coleoptera: Elateridae) in organic farming. Gesunde Pflanzen. 69: 197–202. Google Scholar

76.

Therneau, T. 2020. A Package for Survival Analysis in R. R package version 3.2-3. 2020. Google Scholar

77.

Therneau, T. M., and P. M. Grambsch . 2000. The Cox model, pp. 39–77. In Modeling survival data: extending the Cox model. Springer. Google Scholar

78.

Thiel, T., S. Gaschler, K. Mody, N. Blüthgen, and B. Drossel . 2020. Impact of plant defense level variability on specialist and generalist herbivores. Theor. Ecol. 13: 409–424.  https://doi.org/10.1007/s12080-020-00461-y Google Scholar

79.

Tian, J., H. Diao, L. Liang, S. Arthurs, C. Hao, G. Moura Mascarin, and R. Ma . 2016. Host plants influence susceptibility of whitefly Bemisia tabaci (Hemiptera: Aleyrodidae) to the entomopathogenic fungus Isaria fumosorosea (Hypocreales: Cordycipitaceae). Biocontrol Sci. Technol. 26: 528–538.  https://doi.org/10.1080/09583157.2015.1129393 Google Scholar

80.

Traugott, M., C. M. Benefer, R. P. Blackshaw, W. G. van Herk, and R. S. Vernon . 2015. Biology, ecology, and control of elaterid beetles in agricultural land. Annu. Rev. Entomol. 60: 313–334.  https://doi.org/10.1146/annurev-ento-010814-021035 Google Scholar

81.

Tsunoda, T., K. Grosser, and N. M. van Dam . 2018. Locally and systemically induced glucosinolates follow optimal defence allocation theory upon root herbivory. Funct. Ecol. 32: 2127–2137. Google Scholar

82.

Unckless, R. L., S. M. Rottschaefer, and B. P. Lazzaro . 2015. The complex contributions of genetics and nutrition to immunity in Drosophila melanogaster. PLoS Genet. 11: e1005030.  https://doi.org/10.1371/journal.pgen.1005030 Google Scholar

83.

Unsicker, S. B., A. Oswald, G. Köhler, and W. W. Weisser . 2008. Complementarity effects through dietary mixing enhance the performance of a generalist insect herbivore. Oecologia. 156: 313–324.  https://doi.org/10.1007/s00442-008-0973-6 Google Scholar

84.

Van Dam, N. M., T. O. Tytgat, and J. A. Kirkegaard . 2009. Root and shoot glucosinolates: a comparison of their diversity, function and interactions in natural and managed ecosystems. Phytochem. Rev. 8: 171–186. Google Scholar

85.

Van Herk, W. G., and R. S. Vernon . 2011. Mortality of Metarhizium anisopliae-infected wireworms (Coleoptera: Elateridae) and feeding on wheat seedlings are affected by wireworm weight. J. Entomol. Soc. B. C. 108: 38–40. Google Scholar

86.

van Herk, W. G., and R. S. Vernon . 2013. Categorization and numerical assessment of wireworm mobility over time following exposure to bifenthrin. J. Pest Sci. 86: 115–123. Google Scholar

87.

van Herk, W., B. Vernon, A. Perry, K. Ryan, and A. Chee . 2016. Effects of soil preparation, food availability, and temperature on survival of Agriotes obscurus (Coleoptera: Elateridae) larvae in storage. Can. Entomol. 148: 698–702. Google Scholar

88.

Veitch, N. C. 2013. Isoflavonoids of the leguminosae. Nat. Prod. Rep. 30: 988–1027.  https://doi.org/10.1039/c3np70024k Google Scholar

89.

Veres, A., K. A. Wyckhuys, J. Kiss, F. Tóth, G. Burgio, X. Pons, C. Avilla, S. Vidal, J. Razinger, and R. Bazok . 2020. An update of the Worldwide Integrated Assessment (WIA) on systemic pesticides. Part 4: Alternatives in major cropping systems. Environ. Sci. Pollut. Res. Int. 27: 29867–29899. Google Scholar

90.

Vernon, R. S., and W. G. van Herk . 2013. Wireworms as pests of potato, pp. 103–164. In Insect Pests of Potato. Elsevier. Google Scholar

91.

Vernon, R. S., W. G. van Herk, M. Clodius, and J. Tolman . 2016. Companion planting attract-and-kill method for wireworm management in potatoes. J. Pest Sci. 89: 375–389. Google Scholar

92.

Wickham, H., W. Chang, and M. H. Wickham . 2016. Package ‘ggplot2’. create elegant data visualisations using the grammar of graphics. Version 2: 1–189. Google Scholar

93.

Zafar, J., S. Freed, B. A. Khan, and M. Farooq . 2016. Effectiveness of Beauveria bassiana against cotton whitefly, Bemisia tabaci (Gennadius)(Aleyrodidae: Homoptera) on different host plants. Pak. J. Zool. 48: 91–99. Google Scholar

94.

Zibaee, I., A. R. Bandani, and J. J. Sendi . 2013. Pathogenicity of Beauveria bassiana to fall webworm (Hyphantria cunea) (Lepidoptera: Arctiidae) on different host plants. Plant Prot. Sci. 49: 169–176. Google Scholar
© The Author(s) 2022. Published by Oxford University Press on behalf of Entomological Society of America.
Lara Reinbacher, Eva Praprotnik, Jaka Razinger, Sven Bacher, and Giselher Grabenweger "Influence of Wireworm Diet on its Susceptibility to and Control With the Entomopathogenic Fungus Metarhizium brunneum (Hypocreales: Clavicipitaceae) in Laboratory and Field Settings," Journal of Economic Entomology 116(1), 108-118, (28 December 2022). https://doi.org/10.1093/jee/toac198
Received: 25 August 2022; Accepted: 21 November 2022; Published: 28 December 2022
KEYWORDS
Agriotes
biological control
Cover crop
entomopathogenic fungi
host plant
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