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Article

Characterization of Steinernema feltiae (Rhabditida: Steinernematidae) Isolates in Terms of Efficacy against Cereal Ground Beetle Zabrus tenebrioides (Coleoptera: Carabidae): Morphometry and Principal Component Analysis

by
Joanna Matuska-Łyżwa
1,*,
Barbara Wodecka
2 and
Wiesław Kaca
1
1
Department of Microbiology, Institute of Biology, Faculty of Natural Sciences, Jan Kochanowski University, 7 Uniwersytecka St, 25-406 Kielce, Poland
2
Faculty of Law and Social Sciences, Jan Kochanowski University, 15 Uniwersytecka St, 25-406 Kielce, Poland
*
Author to whom correspondence should be addressed.
Insects 2023, 14(2), 150; https://doi.org/10.3390/insects14020150
Submission received: 5 January 2023 / Revised: 26 January 2023 / Accepted: 29 January 2023 / Published: 1 February 2023
(This article belongs to the Section Insect Pest and Vector Management)
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Abstract

:

Simple Summary

Zabrus tenebrioides (cereal ground beetle) is one of the main pests of cereals worldwide and is predicted to cause serious damage to Polish crops in the near future. A potentially effective method of biological control of this pest is the parasitism of beetle larvae by entomopathogenic nematodes. This study assessed the effectiveness of local isolates of Steinernema feltiae against Z. tenebrioides larvae under Polish field conditions, with at least 90% persistence of infectivity after 60 days in the soil. The differences in biological activity among the isolates toward the host were evaluated in terms of morphometry through principal component analysis.

Abstract

One of the most dangerous pests of cereals is Zabrus tenebrioides and, in Poland, it is becoming a serious pest. Entomopathogenic nematodes (EPNs) seem to be a very promising, biological control agent for this pest. Native EPN populations are well adapted to local environmental conditions. The current study characterized three Polish isolates of the EPN Steinernema feltiae, which differed in their effectiveness against Z. tenebrioides. In the field, isolate iso1Lon reduced the pest population by 37%, compared with 30% by isolate iso1Dan and 0% by the iso1Obl isolate; the number of plants damaged by Z. tenebrioides in the presence of the different isolates reflected the results in terms of the decrease in pest population size. After incubation in the soil for 60 days, recovered EPN juveniles of all three isolates were able to infect 93–100% of the test insects, with isolate iso1Obl again showing the lowest effectiveness. The juveniles of isolate iso1Obl were also morphometrically distinct from the other two isolates, as revealed by principal component analysis (PCA), which helped to distinguish the EPN isolates. These findings showed the value of using locally adapted isolates of EPNs; two of the three isolates randomly selected from Polish soil outperformed a commercial population of S. feltiae.

1. Introduction

Larvae of the genera Steinernema and Heterorhabditis are insect parasites (entomopathogenic nematodes (EPNs)) and are used commercially as effective biocontrol agents against a number of plant pests [1,2]. Pests susceptible to EPN parasitism occur in a wide range of crops, ranging from greenhouse to field crops [3,4].
Cereals are the main crop sources of agricultural food all over the world, with more than 50% of the daily human energy consumption coming from cereals [5]. Compared with other European Union countries, Poland is one of the leading grain producers [6]. Many environmental and agronomic factors influence the production of cereals, including temperature, humidity, crop rotation, soil characteristics, the presence of crop pests and pathogens, and even the COVID-19 pandemic [7,8,9,10].
Achieving a high yield of high-quality grain requires many inputs. The presence of pests not only causes direct yield losses; however, by causing damage to plant tissues, they facilitate the penetration of phytopathogenic viruses, bacteria, or fungi, causing diseases, which, in turn, further reduce the quantity and quality of the grain obtained [11]. In order to reduce pest population size and protect plants, integrated pest management (IPM) is of great importance [12]. According to the International Organization of Biological and Integrated Control of Harmful Plants and Animals (IOBC), integrated crop protection involves “combating agripests using all available methods in accordance with economic, ecological, and toxicological requirements, which give priority to natural limiting factors and economic risk programs” [13].
Among the pests that cause losses in cereal crops in Poland, the most dangerous include Sitobion avenae (Hemiptera), Oulema melanopus, Oulema gallaeciana (both Coleoptera), Haplothrips aculeatus, Limothrips cerealium and Limothrips denticornis (all Thysanoptera), and Chlorops pumilionis, Contarinia tritici, Sitodiplosis mosellana, and Haplodiplosis marginata (all Diptera) [14,15,16,17,18,19,20]. Over the past decade, an increase in the damage caused by some cereal pests has been observed, such as Oscinella frit (fruit fly), Delia coarctata (wheat bulb fly), and Zabrus tenebrioides (cereal ground beetle), which previously were of no economic significance in Poland [21].
Z. tenebrioides belongs to the Carabidae family, and it is one of the most dangerous pests of agricultural crops [22]. This insect causes crop damage not only in Poland, but also in other countries [23,24,25,26]. According to plant protection data, Poland will suffer increasing damage from this pest in the near future [27]. The threshold of crop damage by Z. tenebrioides is one to two larvae or four damaged plants per m2 (in autumn) or three to five larvae or eight to ten damaged plants per m2 (in spring) [28].
After dark, the larvae of this beetle feed on young stalks of cereals (wheat, rye, and barley) and eat the parenchyma. They often gnaw at the base of the leaves, producing a jagged or skeletal appearance, or drag the leaf blades into tunnels in the soil. The greatest larval damage occurs in spring. Plants damaged in such a way die or grow vegetatively without forming flowering spike stalks. Adult beetles also damage the plant by feeding on developing grains. The eggs are laid in the soil from July to September; after the eggs hatch, the larvae hibernate. In spring, the larvae start feeding again, and, at the end of May, they transform into pupae, from which adults develop after about 1 month [24,25].
The control of Z. tenebrioides is difficult due to the nocturnal activity of this pest. The available chemical pesticides are expensive, harmful to other, nontarget organisms, and often ineffective against the target pest because, in its mature form, it may survive on other plants [23,29].
The presence of at least one stage of the pest lifecycle in the soil provides an opportunity to use a natural crop protection product, namely EPNs. Among the basic conditions for the use of such products is their ability to be infective toward beetle larvae and to survive in the soil environment occupied by Z. tenebrioides. Research into the taxonomy and commercialization of EPNs has been carried out in almost all parts of the world to isolate locally adapted EPN species or isolates for use in pest control [30,31]. Methods for the identification and classification of EPN species are based on morphometric and molecular data, all of which are expensive and time-consuming to collect and analyze [32].
These methods are also connected with mathematical approaches that achieve a rapid indication of the distinction between individual taxa. One of these methods is principal component analysis (PCA), which enables the identification of initial variables that affect the appearance of individual principal components that make up a homogeneous group. This method has already been used in the study of the variability of various animal species, including fish, cattle, goats, and crabs, as well as entomopathogenic nematodes [33,34,35,36,37,38]. The differences in the morphology of organisms may be related to their physiological properties and, in the case of EPNs, their insect-parasitic characteristics. It has been shown that the level of pest control may depend on the match between the optimal nematode species or isolate and the particular pest, as well as the environmental adaptation of the EPN to the local environmental conditions [39,40].
The goal of the current research was to assess the field efficacy of locally collected Polish isolates of S. feltiae against Z. tenebrioides larvae and to determine nematode invasiveness 14 and 60 days after application to soil. The relationship between the variables of biological activity toward the cereal ground beetle and the morphometric diversity of the EPN isolates was also examined, and we evaluated the value of morphometric features to achieve taxonomic differentiation.

2. Materials and Methods

2.1. Multiplication and Characterization of S. feltiae Isolates

Three S. feltiae isolates (iso1Obl, iso1Dan, and iso1Lon) were obtained from crop fields in Poland, and one commercial isolate (Owiplant, Owińska, Poland) was used as the control sample. The Polish isolates of S. feltiae were collected in the summer of 2019 from arable soils where wheat was grown [41]. The soils were representative of arable soils in Poland. The isolates came from the following regions: Częstochowa (iso1Obl), Włoszczowski (iso1Dan), and Sandomierski (iso1Lon). The tested S. feltiae isolates were molecularly and morphometrically identified earlier [41]. Reproduction of the test S. feltiae isolates was carried out on larvae of Galleria mellonella, greater wax moth (Lepidoptera: Pyralidae). G. mellonella was cultured as host material for EPNs at 20 °C on beeswax patches in ventilated polypropylene containers. The fourth larval stage of G. mellonella, with an average body weight of 140 mg, was used, with a dose of 50 infective juveniles (IJs)/insect larva on Petri dishes with filter paper, which were then stored in the incubation cabinet at 20 °C over a 5 day period. The cadavers of insects parasitized by nematodes were transferred into migration Petri dishes [42] (Anumbra, Šumperk, Czech Republic). The emerging juvenile nematodes were collected into tissue culture bottles, area 75 cm2 (Nunc EasYFlasks, Roskilde, Denmark), and stored at 4 °C. Attempts were made to distinguish the four isolates using morphometric features of nematodes at two developmental stages: infective juveniles and first-stage adult males [32]. The parameters monitored were total body length (L), maximum body width (W), distance from anterior end to excretory pore (EP), distance from anterior end to nerve ring (NR), distance from anterior end to end of pharynx (ES), tail length (T), anal body width (ABW), spicule length (SL), gubernaculum length (GL), and the ratios a = L/W, b = L/ES, c = L/T, D = (EP/ES) × 100, and E = (EP/T) × 100.

2.2. Experimental Site

The study of the survival of invasive EPN juveniles inoculated into soil and their effect on the biocontrol of Z. tenebrioides was carried out in the Świętokrzyskie voivodeship, on two adjacent areas of cultivated soil, each 0.5 ha in area (50°56′30.9″ N, 21°04′30.8″ E). The three sites from which the isolates were obtained were located approximately 100 km from the experimental site. In both cultivated areas, spring barley was the growing crop, with wheat being the crop grown the previous year. The agrochemical regime used was typical of local farms. The soil in the two sites was black earth type soil in class IIIb. The experiment was repeated twice times, with each plot representing a replicate.

2.3. Assessment of Cereal Ground Beetle Abundance in Experimental Site

The abundance of the pest was quantified on the basis of the presence of plant damage and the presence of beetle larvae in soil samples. On each plot, 10 sites, each with an area of 100 cm × 100 cm, were marked out, in which the number of plants damaged by Z. tenebrioides larvae per m2 was counted, and the average number of larvae per m2 was determined. Soil samples were taken from the sites marked with wooden frames using an Egner’s soil sampler with a diameter of 20 mm, to a depth of 30–35 cm; the uppermost 2 cm of the soil sample was discarded from each sample. The soil samples were evenly distributed over the entire surface of each plot, delimited by the frame. Z. tenebrioides larvae were isolated from the collected soil samples by sieving (6 mm mesh size of the sieves), and the average number of larvae per m2 was determined. The assessment of the number of pests and damaged barley plants per m2 was also carried out in plots where nematodes were applied (106/m2, in accordance with the recommendations for the use of commercial EPN biopreparations on crops), 14 days after their application to the soil environment.

2.4. Detection of Local, Wild EPN in Experimental Site

The soil samples taken as described in Section 2.3 were also tested for the abundance of local, wild populations of EPNs by the trap insects method [43]. Under laboratory conditions, each replicate soil sample was thoroughly mixed to achieve homogeneity. The soil was divided between six sterile 250 mL vessels containing two G. mellonella larvae each. The soil samples were incubated in a thermostatically controlled cabinet (POL-EKO Aparatura, Wodzisław Śląski, Poland) at 20 °C and checked every 48 h over a 16 day period. Dead G. mellonella larvae were taken from the samples and placed in Petri dishes (90 mm in diameter; Anumbra, Šumperk, Czech Republic) on migration sponges in the incubator cabinet [42]. These dishes were checked daily for the emigration of EPN juveniles. After nematode juveniles were observed on the migration plates, their collection was started and continued for 10 days. The emerging juvenile nematodes were collected into tissue culture bottles, with a surface area of 75 cm2 (Nunc EasYFlasks, Roskilde, Denmark) and stored at 4 °C for 14 days until being used. The collected nematodes were identified by molecular analyses [32] to confirm the identity of the species.

2.5. EPN Inoculation in Field Studies

Field studies were carried out between the beginning of June and the end of August 2022. The nematode juveniles, multiplied and collected as described above, were applied to the field soil. The places of nematode application were localized with the use of wooden frames 100 cm × 100 cm. For each of the four nematode isolates (three test isolates plus the commercial isolate), ten inoculation frames were randomly distributed within the test plot, with frames separated by a distance of at least 6 m. The viability of the S. feltiae infective juveniles (IJs), suspended in tap water, was 95–100%. The IJ density and suspension volume applied to each replicate site were in accordance with the recommendations of the manufacturers of EPN plant protection products; the dose of nematodes applied to each inoculation frame was 106/m2. Prior to nematode application, the soil was hydrated to improve soil conditions for the nematodes. The application was carried out in the evening hours on a windless day, using a backpack sprayer with a 0.5 mm nozzle diameter.

2.6. Study of EPN Persistence, Nematode Infectivity, and Control of Z. tenebrioides

The survival of the EPN juveniles applied to the soil was determined 14 and 60 days after application, using the trap insect method. G. mellonella larvae were used to determine the infectivity (and, hence, the persistence) of the test populations of nematodes of the four isolates extracted from the soil samples collected from the sites of previous nematode application. The extent of nematode infestation was determined as the percentage of G. mellonella larvae which were infested with nematodes. The identity of the nematode juveniles was confirmed by the molecular method [32,41] to confirm the identity of the isolate previously introduced into the soil. A total of 96 larvae (100%) were used for each isolate in each plot to calculate the frequency of nematode infestation. After collecting soil samples from the nematode application sites to quantify the persistence of the EPN populations, the abundance of Z. tenebrioides and the number of plants damaged by this pest were determined 14 days after application of the nematodes as described earlier.

2.7. Statistical and Data Analysis

For statistical analyses of the biological parameters, the data from each of the 10 inoculation frames for the same isolate per plot were treated as one sample, with the two plots acting as replicates. The Shapiro–Wilk test was performed to determine whether the data approximated to a normal distribution. The pest frequency and plant damage data prior to nematode application were found to be non-normally distributed. Data after application of nematodes to the soil was non-normally distributed; hence, the Kruskal–Wallis test was used to analyze any differences among the efficacies of the nematode isolates.
Principal component analysis (PCA) was carried out to analyze the morphometric diversity [44,45]. In order to check whether PCA would be appropriate, the variable correlation matrices and the Kaiser–Mayer–Olkin coefficient (KMO) were determined, and the Bartlett test was performed.
All calculations, tests and graphs were made in the R program [46] using the following packages: “dplyr” [47], “ggbiplot” [48], “factoextra” [49], and “psych” [50]. The significance level, α = 0.05 , was adopted as the threshold for significance.

3. Results

3.1. Presence of Local EPN Populations in the Experimental Site

Studies showed that no local, wild populations of EPNs were present in the two experimental plots.

3.2. Assessment of the Frequency of Z. tenebrioides in the Experimental Site

In the experimental site, the average number of Z. tenebrioides larvae was 2.925 larvae per m2, close to the lower limit of the damage threshold. With respect to the number of damaged plants, high pest activity was not demonstrated, with the average number of plants damaged by Z. tenebrioides being 4.725 per m2 (Table 1).

3.3. Assessment of the Efficacy of the Tested EPN Isolates against Z. tenebrioides

After application of the nematodes of the four EPN isolates to the soil, it was observed that, 14 days after their application, in the case of three of the nematode isolates, the mean number of both live Z. tenebrioides larvae and damaged plants decreased significantly (Table 1 and Table 2).
The iso1Lon isolate proved to be the most effective at pest elimination, as the average number of the live pest larvae was reduced by 37%. Although the number of plants damaged by Z. tenebrioides before treatment was not high, it decreased by 42% after application of the iso1Lon isolate. Equally satisfactory insecticidal effectiveness against Z. tenebrioides was observed in the case of comparing the iso1Dan isolate, which reduced the pest population by 30% and the number of damaged plants by 40%. The Iso1Obl isolate proved to be ineffective in controlling Z. tenebrioides as it reduced neither the number of pests nor the number of plants damaged by them (Table 1 and Table 2).
The Shapiro–Wilk test showed that all p-values were less than 0.05; therefore, the distributions of the analyzed data were not normal (Table 3). The Mann–Whitney U test was used to determine which samples differed from each other (Table 4). On this basis, it was found that the iso1Obl isolate was statistically different from the others for both the number of Z. tenebrioides larvae and the number of plants damaged by this pest.

3.4. EPN Persistence and Infectivity in the Soil

When assessing the persistence of the studied nematode isolates in the soil environment with Z. tenebrioides, it was shown that, 14 days after nematode application, two isolates (iso1Dan, iso1Lon) were 100% persistent (Table 5), with all the trap insects (G. mellonella) dying after contact with soil taken from the application sites of these nematode isolates.
The lowest persistence (number of insects killed) was recorded in soil samples containing nematodes from the iso1Obl isolate 14 or 60 days after application to the soil. The iso1Lon isolate showed the greatest persistence and effectiveness against test insects; 60 days after application, the nematodes killed all G. mellonella larvae with which they were incubated in vitro. The iso1Dan isolate showed similar persistence and effectiveness (Table 5).

3.5. Distinction among EPN Isolates Using Morphometric Features and PCA

Analyzing the determined variable correlation coefficient matrices (Table 6 and Table 7), the Kaiser–Mayer–Olkin coefficient (KMO), and the p -value in the Bartlett test (Table 8), we concluded that PCA was appropriate and brought about the intended results.
For both infective juveniles and first-stage males, the value from the Bartlett test allowed acceptance of the hypothesis that there was a significant difference between the correlation matrix and the identity matrix obtained, i.e., a significant correlation between the variables. The KMO obtained coefficient in both cases was high, greater than 0.5, allowing for the execution of PCA for the morphometric features analyzed (Table 8).
The eigenvalues obtained from PCA indicate that, in the case of infective juveniles, the first two principal components described the data well. The eigenvalue for the first component was 4.99 and the percentage of the variance it explained was 41.55%. The second component explained much less of the variance, i.e., 16.82%, and its eigenvalue was 2.02. For adult males, the two principal components also described the data well. The eigenvalue for the first component was 3.28 and the percentage of the variance it explained was 25.24%, whereas the second component explained less variance (20.93%), and its eigenvalue was 2.72. When applying the Kaiser criterion in both cases, the interpretation should take into account the first five components, because, for each of them, the eigenvalues were greater than 1 (Table 9).
When analyzing the scree plots for infective juveniles, it can be observed that the slope line turned into a horizontal line from the seventh main component onward (Figure 1). According to this indication, it can be concluded that combining the first eight components explained about 99.97% of the variance (Table 9). The plot of the adult male scree plot led to a similar conclusion, except that the first eight components together explained about 99.94% of the variance (Figure 2, Table 9).
When assessing the principal components, it was observed that, cumulatively, the first two components explained 58.37% (for juveniles) and 46.16% (for males) of the total variance (Figure 3 and Figure 4). The intensity of color of the arrows reflects the influence of the variables on the principal components. The vectors representing the original variables did not extend to the edges of the unit circle; thus, they were all moderately represented by the first two principal components making up the coordinate system. When analyzing the angles between the juvenile vectors, it can be noted that the variables total body length and c ( r = 0.938 ), total body length and b ( r = 0.924 ), and b and c ( r = 0.905 ) were strongly positively correlated, whereas the variables distance from anterior end to end of pharynx and b ( r = 0.0314 ), maximum body width and D ( r = 0.0673 ), tail length and D ( r = 0.0837 ), and anal body width and a ( r = 0.0900 ) were not significantly correlated. On the other hand, for males, there was a strong significant correlation between the variables total body length and b ( r = 0.889 ), maximum body width and a ( r = − 0.788 ), total body length and c ( r = 0.783 ), b and c ( r = 0.766 ), and tail length and E ( r = − 0.733 ), whereas spicule length and c ( r = − 0.00458 ), maximum body width and c ( r = 0.00500 ), distance from anterior end to excretory pore and a ( r = − 0.00531 ), maximum body width and b ( r = 0.00616 ), and gubernaculum length and b ( r = − 0.00974 ) were not significantly correlated (Table 6 and Table 7).
By analyzing the grouping of the population, one can observe how individual observations formed groups, depending on the isolate. For the infective juveniles, the group for the iso1Obl isolate was clearly distinguished; for the adult males, the iso1Dan isolate formed a distinctly separate group. Unfortunately, the other groups overlapped. Additionally, the plotted vectors representing the primary variables (similar to Figure 3 and Figure 4) indicate that the strongest correlation was between the variables total body length and c for infective juveniles and between the variables total body length and b for first-stage adult males. The weakest correlation was between distance from the anterior end to the end of the pharynx and b for infectious juveniles and between spicule length and c for first-stage adult males (Figure 5 and Figure 6).

4. Discussion

The results of field studies of control measures against pests often differ from the results of the corresponding laboratory-based studies [51]. Therefore, to improve the effectiveness of the biocontrol organisms used, multidisciplinary research is necessary, leading to a reduction in costs and an increase in the efficacy of the final product. This paper presents mathematical analysis of the biological differences among various S. feltiae isolates, followed by results from where this isolate was obtained, from studies on the infectivity and persistence of the different isolates against Z. tenebrioides in the natural environment (nonsterile soil).
The effectiveness of EPNs in the soil depends on many factors. One of them is the selection of an appropriate nematode for control of a specific pest species under prevailing environmental conditions [52,53]. In the current study, the soil type, type of crop, and the previous crop were determined, as well as the number of Z. tenebrioides larvae per m2, and the soil was examined for the presence of local, native populations of EPNs. Reports of using local EPN isolates to control Zabrus spp. in Turkey [54] opened up the possibility of attempting a similar strategy in Poland. No local populations of EPN were found in the experimental site, but the specific economic damage threshold of Z. tenebrioides in Poland indicated an urgent need for research into the effective control of this pest.
Analysis of the effectiveness of the isolates of S. feltiae against Z. tenebrioides showed differences between the isolates. The iso1Lon isolate reduced the pest population by 35%, whereas the iso1Obl isolate turned out to be completely ineffective against this insect pest species. Similar inter-isolate relationships were observed for pest control parameters number of live Z. tenebrioides larvae and the number of plants damaged by Z. tenebrioides. In the plots where the iso1Lon isolate was applied, there was a decrease in the number of damaged plants by 41% on average.
In the case of the iso1Obl isolate, it was observed that, where it was applied, the average number of damaged plants even increased, relative to the control site, confirming the lack of entomopathogenic effectiveness of this isolate. The remaining two isolates were characterized by a slightly lower insecticidal effectiveness than in the case of the iso1Lon isolate. These in-soil results prove that two of the three randomly selected isolates proved to be more effective than the commercial isolate when applied under environmental conditions similar to those from which the wild EPN isolates were isolated. Other studies have provided evidence that EPNs show considerable variation in terms of biological activity, host selection, and tolerance to various environmental conditions [55]. This finding on the effectiveness of local EPN isolates against Zabrus spp. supports research described earlier [54]. The subject of the biology of local EPN populations has been discussed for a long time. Recent studies have shown that local populations of EPNs are highly adapted to the environmental conditions from which they were isolated [55]. Nematode isolates studied in the current research were isolated and used in the same country and in similar environments, which could have influenced the results obtained.
The adaptive abilities of the studied nematodes could also have an impact on the persistence of the population in the target environment. The three tested nematode isolates recovered 14 or 60 days after application to the soil were able to infect 93–100% of the test insects. The iso1Obl isolate also showed the lowest persistence in this study, killing only 83–92% of the hosts. This shows that the isolates retained their infectivity over a period of at least 2 months, although earlier research reports have indicated that EPNs introduced into the soil could persist for between 1 and 3 years [54,56].
Research on the morphometric diversity of entomopathogenic nematodes provided valuable information on their geographic and ecological requirements. The morphometry of these organisms may be influenced by various factors, such as geographical origin, habitat, or host species [57,58]. This study described the differentiation of S. feltiae isolates from different locations, but within the same geographical region. PCA for the morphometric features of infective juveniles showed that the isolate iso1Obl differed the most from the other isolates, reflecting the relatively low bioactivity of this isolate. Mathematical analyses of the biological activity of this isolate against Z. tenebrioides and G. mellonella also showed its distinctiveness. The biological and morphometric diversity of the iso1Obl isolate larvae was confirmed by another study [41], which reported a different level of biological activity of this isolate against G. mellonella.
EPNs are morphometrically very diverse organisms. PCA confirmed that the morphometric features of nematodes used for identification indicated in the literature [32] are very important features in the classification of these organisms. In earlier work, PCA was used for the classification of Argentinian Heterorhabditis species, where the method correctly classified different species into different groups [59]. In turn, PCA was used by another research group to show that the method effectively differentiated Heterorhabditis baujardi from Heterorhabditis indica [60]. Similar conclusions were reached by a team using PCA to differentiate morphometric traits in adult males and juveniles to identify differences in Steinernema hermaphroditum populations, finding some variability [61]. Furthermore, in the current study, the isolates were correctly classified into different groups, whereas the authors of [37] found that a combination of molecular technique and classical morphological studies was a useful tool for assessing the biodiversity of Steinernematidae nematodes and could also be useful for determining differences in pathogenicity toward insect pests [37].

5. Conclusions

The research conducted proved that two out of three randomly selected local EPN isolates from Poland turned out to be more effective against Z. tenebrioides than a commercial population under Polish conditions. This result confirms the relative value of using local EPN isolates. These isolates differed in their infectivity against Z. tenebrioides and in their persistence to infect the host after re-isolation following a period in the soil. PCA confirmed the biological and morphometric differences between the isolates and confirmed the significance of the features important for the identification and taxonomic classification of S. feltiae.

Author Contributions

Conceptualization, J.M.-Ł. and B.W.; methodology, J.M.-Ł. and B.W.; software, J.M.-Ł. and B.W.; validation, J.M.-Ł.; formal analysis, J.M.-Ł. and B.W.; investigation, J.M.-Ł.; resources, J.M.-Ł.; data curation, J.M.-Ł.; writing—original draft preparation, J.M.-Ł.; writing—review and editing, J.M.-Ł., W.K., and B.W.; visualization, J.M.-Ł. and B.W.; supervision, J.M.-Ł.; project administration, J.M.-Ł. and W.K.; funding acquisition, J.M.-Ł. and W.K. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by grant number SUPB.RN. 2023/2024 from Jan Kochanowski University, Kielce, Poland, awarded to W.K.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

The datasets are available on reasonable request to the corresponding author.

Acknowledgments

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Askary, T.H. Nematodes as Biocontrol Agents. In Sociology, Organic Farming, Climate Change and Soil Science; Lichtfouse, E., Ed.; Springer: Dordrecht, The Netherlands, 2010; pp. 347–378. ISBN 978-90-481-3333-8. [Google Scholar]
  2. Silva, M.S.O.; Cardoso, J.F.M.; Ferreira, M.E.P.; Baldo, F.B.; Silva, R.S.A.; Chacon-Orozco, J.G.; Shapiro-Ilan, D.I.; Hazir, S.; Bueno, C.J.; Leite, L.G. An Assessment of Steinernema Rarum as a Biocontrol Agent in Sugarcane with Focus on Sphenophorus Levis, Host-Finding Ability, Compatibility with Vinasse and Field Efficacy. Agriculture 2021, 11, 500. [Google Scholar] [CrossRef]
  3. Sharma, A.; Thakur, D.; Vk, C. Use of Steinernema and Heterorhabditis Nematodes for Control of White Grubs, Brahmina Coriacea Hope (Coleoptera: Scarabaeidae) in Potato Crop. Potato J. 2009, 36, 60–65. [Google Scholar]
  4. Vänninen, I. Control of Sciarid Flies with Steinernema Feltiae in Poinsettia Cutting Production. Int. J. Pest Manag. 2003, 49, 95–103. [Google Scholar] [CrossRef]
  5. FAO: Economic and Social Development Stream. Available online: https://www.fao.org/economic/es-home/en/ (accessed on 22 October 2022).
  6. Eurostat. Available online: https://ec.europa.eu/eurostat (accessed on 22 October 2022).
  7. Jalli, M.; Huusela, E.; Jalli, H.; Kauppi, K.; Niemi, M.; Himanen, S.; Jauhiainen, L. Effects of Crop Rotation on Spring Wheat Yield and Pest Occurrence in Different Tillage Systems: A Multi-Year Experiment in Finnish Growing Conditions. Front. Sustain. Food Syst. 2021, 5, 647335. [Google Scholar] [CrossRef]
  8. Jha, P.K.; Araya, A.; Stewart, Z.P.; Faye, A.; Traore, H.; Middendorf, B.J.; Prasad, P.V.V. Projecting Potential Impact of COVID-19 on Major Cereal Crops in Senegal and Burkina Faso Using Crop Simulation Models. Agric. Syst. 2021, 190, 103107. [Google Scholar] [CrossRef]
  9. Wang, J.; Vanga, S.K.; Saxena, R.; Orsat, V.; Raghavan, V. Effect of Climate Change on the Yield of Cereal Crops: A Review. Climate 2018, 6, 41. [Google Scholar] [CrossRef]
  10. You, L.; Rosegrant, M.W.; Wood, S.; Sun, D. Impact of Growing Season Temperature on Wheat Productivity in China. Agric. For. Meteorol. 2009, 149, 1009–1014. [Google Scholar] [CrossRef]
  11. Farrell, J.A.; Stufkens, M.W. Cereal Aphid Flights and Barley Yellow Dwarf Virus Infection of Cereals in Canterbury, New Zealand. N. Z. J. Crop Hortic. Sci. 1992, 20, 407–412. [Google Scholar] [CrossRef]
  12. Dhawan, A.K.; Peshin, R. Integrated Pest Management: Concept, Opportunities and Challenges. In Integrated Pest Management: Innovation-Development Process: Volume 1; Peshin, R., Dhawan, A.K., Eds.; Springer: Dordrecht, Netherlands, 2009; pp. 51–81. ISBN 978-1-4020-8992-3. [Google Scholar]
  13. Olszak, R.W.; Pruszynski, S.; Lipa, J.J.; Dabrowski, Z.T. Rozwoj koncepcji i strategii wykorzystania metod oraz srodkow ochrony roslin. Prog. Plant Prot. 2000, 40, 40–50. [Google Scholar]
  14. Kaniuczak, Z.; Bereś, P. Występowanie oraz szkodliwość ważnych gospodarczo szkodników zbóż w gospodarstwach ekologicznych na Podkarpaciu w latach 2008–2010. J. Res. Appl. Agric. Eng. 2011, 56, 189–195. [Google Scholar]
  15. Mrówczynski, M.; Pruszyński, G.; Wachowiak, H.; Bereś, P. Nowe Zagrozenia Upraw Rolniczych Przez Szkodniki Ze Szczegolnym Uwzglednieniem Kukurydzy. Prog. Plant Prot. 2007, 47, 323–330. [Google Scholar]
  16. Mrówczynski, M.; Wachowiak, H.; Boroń, M. Szkodniki Zbóż—Aktualne Zagrożenia w Polsce. Prog. Plant Prot. 2005, 45, 929–932. [Google Scholar]
  17. Roik, K.; Strażyński, P.; Baran, M.; Bocianowski, J. Analiza Poziomu Zasiedlenia Pszenicy Ozimej Przez Mszycę Zbożową (Sitobion Avenae F.) w Różnych Rejonach Polski w Latach 2009–2018. Prog. Plant Prot. 2022, 62, 216–223. [Google Scholar]
  18. Skuhravá, M.; Skuhravý, V.; Skrzypczyńska, M.; Szadziewski, R. Gall Midges (Cecidomyiidae, Diptera) of Poland. Ann. Up. Silesian Mus. Bytom 2008, 16, 5–159. [Google Scholar]
  19. Hurej, M.; Twardowski, J.; Chrzanowska-Drożdż, B. THRIPS (Thysanoptera) occuring in ears of Triticum Durum DESF. in conditions of different protection level. Acta Sci. Pol. Agric. 2010, 9, 3–10. [Google Scholar]
  20. Ulrich, W.; Czarnecki, A.; Kruszyński, T. Occurrence of pest species of the genus oulema (Coleoptera: Chrysomelidae) in cereal fields in northern poland. Electron. J. Pol. Agric. Univ. 2004, 7, 4. [Google Scholar]
  21. Walczak, F. Ważne Szkodniki Zbóż i Terminy Ich Zwalczania. Wieś Jutra 2010, 4, 30–34. [Google Scholar]
  22. Szyszko, J. Mozliwosci Wykorzystania Biegaczowatych [Carabidae, Col.] Do Oceny Zaawansowania Procesow Sukcesyjnych w Srodowisku Lesnym-Aspekty Gospodarcze. Sylwan 2002, 146, 45–59. [Google Scholar]
  23. Georgescu, E.; Rîșnoveanu, L.; Toader, M.; Ionescu, A.M.; Gărgăriță, R.; Cană, L. Actual Problems Concerning Protection of the Wheat Crops against Cereal Ground Beetle (Zabrus Tenebrioides Goeze) Attack in South-East of the Romania. Sci. Pap.-Ser. Agron. 2017, 60, 256–263. [Google Scholar]
  24. Jasim, S.A.; Yasin, G.; Cartono, C.; Sevbitov, A.; Shichiyakh, R.A.; Al-Husseini, Y.; Mustafa, Y.F.; Jalil, A.T.; Iswanto, A.H. Survey of Ground Beetles Inhabiting Agricultural Crops in South-East Kazakhstan. Braz. J. Biol. Rev. Brasleira Biol. 2022, 84, e260092. [Google Scholar] [CrossRef]
  25. Korbas, M.; Horoszkiewicz-Janka, J.; Mrówczyński, M. Metodyka Integrowanej Ochrony Pszenicy Ozimej i Jarej Dla Doradców; Instytut Ochrony Roślin-PIB: Poznań, Poland, 2017; ISBN 978-83-64655-33-3. [Google Scholar]
  26. Kosewska, A.; Nijak, K. Analiza Struktury Zgrupowań Biegaczowatych (Col., Carabidae) w Integrowaniej i Ekologicznej Uprawie Ziemniaka. Komunikat. Biul. Inst. Hod. Aklim. Roślin 2012, 265, 157–164. [Google Scholar]
  27. Strażyński, P.; Horoszkiewicz-Janka, J.; Mrówczyński, M.; Przybył, J.; Węgorek, P.; Kierzek, R.; Korbas, M.; Matysiak, K.; Grabiński, J.; Zamojska, J.; et al. Metodyka Integrowanej Ochrony Żyta Dla Doradców; Instytut Ochrony Roślin–PIB: Poznań, Poland, 2020; ISBN 978-83-64655-64-7. [Google Scholar]
  28. Tratwal, A.; Bereś, P.; Korbas, M.; Danielewicz, J.; Jajor, E.; Horoszkiewicz, J.; Jakubowska, M.; Roik, K.; Baran, M.; Strażyński, P.; et al. Poradnik Sygnalizatora Ochrony Zbóż; Instytut Ochrony Roślin-PIB: Poznań, Poland, 2017; ISBN 978-83-64655-29-6. [Google Scholar]
  29. Collins, P.J.; Schlipalius, D.I. Insecticide Resistance. In Recent Advances in Stored Product Protection; Athanassiou, C.G., Arthur, F.H., Eds.; Springer: Berlin/Heidelberg, Germany, 2018; pp. 169–182. ISBN 978-3-662-56125-6. [Google Scholar]
  30. Hominick, W.M. Biogeography. Entomopathog. Nematol. 2002, 1, 115–143. [Google Scholar]
  31. Hominick, W.M.; Reid, A.P.; Bohan, D.A.; Briscoe, B.R. Entomopathogenic Nematodes: Biodiversity, Geographical Distribution and the Convention on Biological Diversity. Biocontrol Sci. Technol. 1996, 6, 317–332. [Google Scholar] [CrossRef]
  32. Nguyen, K.B. Chapter 3. Methodology, Morphology And Identification. In Entomopathogenic Nematodes: Systematics, Phylogeny and Bacterial Symbionts; Brill: Leiden, The Netherlands, 2007; pp. 59–119. ISBN 978-90-474-2239-6. [Google Scholar]
  33. Bhat, A.H.; Sharma, L.; Chaubey, A.K. Characterisation of Steinernema Surkhetense and Its Symbiont Xenrorhabdus Stockiae and A Note on Its Geographical Distribution Characterisation of Steinernema Surkhetense and Its Symbiont Xenrorhabdus Stockiae and A Note on Its Geographical Distribution. Egypt. Acad. J. Biol. Sci. Entomol. 2020, 13, 105–122. [Google Scholar] [CrossRef]
  34. Grinang, J.; Das, I.; Ng, P.K.L. Geometric Morphometric Analysis in Female Freshwater Crabs of Sarawak (Borneo) Permits Addressing Taxonomy-Related Problems. PeerJ 2019, 7, e6205. [Google Scholar] [CrossRef]
  35. Putra, W.; Said, S.; Arifin, J. Principal Component Analysis (PCA) of Body Measurements and Body Indices in the Pasundan Cows. Black Sea J. Agric. 2020, 3, 49–55. [Google Scholar]
  36. Putra, W.; Ilham, F. Principal Component Analysis of Body Measurements and Body Indices and Their Correlation with Body Weight in Katjang Does of Indonesia. J. Dairy Veter- Anim. Res. 2019, 8, 124–134. [Google Scholar] [CrossRef]
  37. Stock, S.P.; Gardner, S.L.; Wu, F.F.; Kaya, H.K. Characterization of Two Steinernema Scapterisci Populations (Nemata: Steinernematidae) Using Morphology and Random Amplified Polymorphic DNA Markers. J. Helminthol. Soc. Wash. 1995, 62, 242–249. [Google Scholar]
  38. Winstanley, T.; Clements, K. Morphological Re-Examination and Taxonomy of the Genus Macropodus (Perciformes, Osphronemidae). Zootaxa 2008, 1908, 1–27. [Google Scholar] [CrossRef]
  39. Grewal, P.S.; Ehlers, R.-U.; Shapiro-Ilan, D.I. Nematodes as Biocontrol Agents; CABI: Wallingford, UK, 2005; ISBN 1-84593-142-4. [Google Scholar]
  40. Shapiro-Ilan, D.I.; Gouge, D.H.; Koppenhöfer, A.M. Factors Affecting Commercial Success: Case Studies in Cotton, Turf and Citrus. In Entomopathogenic Nematology; CABI: Wallingford, UK, 2002; pp. 333–355. [Google Scholar]
  41. Matuska-Łyżwa, J.; Żarnowiec, P.; Kaca, W. Comparison of Biological Activity of Field Isolates of Steinernema Feltiae with a Commercial S. Feltiae Biopesticide. Product. Insects 2021, 12, 816. [Google Scholar] [CrossRef] [PubMed]
  42. Matuska-Łyżwa, J. Method of Multiplication of Entomopathogenic Nematodes for the Plant Protection Research Purposes. WUP Patent PL 212617 B1, April 2012. [Google Scholar]
  43. Fan, X.; Hominick, W.M. Efficiency of the Galleria (Wax Moth) Baiting Technique for Recovering Infective Stages of Entomopathogenic Rhabditids (Steinernematidae and Heterorhabditidae) from Sand and Soil. Rev. Nématol 1991, 14, 381–387. [Google Scholar]
  44. Billard, L.; Diday, E. Symbolic Data Analysis: Conceptual Statistics and Data Mining (Wiley Series in Computational Statistics); John Wiley & Sons, Inc.: Hoboken, NJ, USA, 2007; ISBN 0-470-09016-2. [Google Scholar]
  45. Izenman, A.J. Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning, 1st ed.; Springer Publishing Company, Incorporated: Berlin/Heidelberg, Germany, 2008; ISBN 0-387-78188-9. [Google Scholar]
  46. R Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2021. [Google Scholar]
  47. Wickham, H.; François, R.; Henry, L.; Müller, K. Dplyr: A Grammar of Data Manipulation; 2022. [Google Scholar]
  48. Vu, V.Q. Ggbiplot: A Ggplot2 Based Biplot; 2011. [Google Scholar]
  49. Kassambara, A.; Mundt, F. Factoextra: Extract and Visualize the Results of Multivariate Data Analyses; 2020. [Google Scholar]
  50. Revelle, W. Psych: Procedures for Psychological, Psychometric, and Personality Research; Northwestern University: Evanston, Illinois, 2021. [Google Scholar]
  51. Gulzar, S.; Wakil, W.; Shapiro-Ilan, D.I. Potential Use of Entomopathogenic Nematodes against the Soil Dwelling Stages of Onion Thrips, Thrips Tabaci Lindeman: Laboratory, Greenhouse and Field Trials. Biol. Control 2021, 161, 104677. [Google Scholar] [CrossRef]
  52. Georgis, R.; Koppenhöfer, A.M.; Lacey, L.A.; Bélair, G.; Duncan, L.W.; Grewal, P.S.; Samish, M.; Tan, L.; Torr, P.; van Tol, R.W.H.M. Successes and Failures in the Use of Parasitic Nematodes for Pest Control. Biol. Control 2006, 38, 103–123. [Google Scholar] [CrossRef]
  53. Levy, N.; Faigenboim, A.; Salame, L.; Molina, C.; Ehlers, R.-U.; Glazer, I.; Ment, D. Characterization of the Phenotypic and Genotypic Tolerance to Abiotic Stresses of Natural Populations of Heterorhabditis Bacteriophora. Sci. Rep. 2020, 10, 10500. [Google Scholar] [CrossRef]
  54. Taşkesen, Y.; Yüksel, E.; Canhilal, R. Field Performance of Entomopathogenic Nematodes against the Larvae of Zabrus Spp. Clairville, 1806 (Coleoptera: Carabidae). Uluslar. Tarım Ve Yaban Hayatı Bilim. Derg. 2021, 7, 429–437. [Google Scholar] [CrossRef]
  55. Mráček, Z.; Bečvár, S.; Kindlmann, P.; Webster, J. Infectivity and Specificity of Canadian and Czech Isolates of Steinernema Kraussei (Steiner, 1923) to Some Insect Pests at Low Temperatures in the Laboratory. Nematologica 1998, 44, 437–448. [Google Scholar]
  56. Dillon, A.B.; Rolston, A.N.; Meade, C.V.; Downes, M.J.; Griffin, C.T. Establishment, Persistence, and Introgression of Entomopathogenic Nematodes in a Forest Ecosystem. Ecol. Appl. 2008, 18, 735–747. [Google Scholar] [CrossRef]
  57. Campos-Herrera, R.; Escuer, M.; Robertson, L.; Gutiérrez, C. Morphological and Ecological Characterization of Steinernema Feltiae (Rhabditida: Steinernematidae) Rioja Strain Isolated from Bibio Hortulanus (Diptera: Bibionidae) in Spain. J. Nematol. 2006, 38, 68–75. [Google Scholar]
  58. Stock, S.P.; Mrácek, Z.; Webster, J. Morphological Variation between Allopatric Populations of Steinernema Kraussei (Steiner, 1923) (Rhabditida: Steinernematidae). Nematology 2000, 2, 143–152. [Google Scholar] [CrossRef]
  59. Achinelly, M.F.; Eliceche, D.P.; Belaich, M.N.; Ghiringhelli, P.D. Variability Study of Entomopathogenic Nematode Populations (Heterorhabditidae) from Argentina. Braz. J. Biol. 2016, 77, 569–579. [Google Scholar] [CrossRef] [PubMed]
  60. Dolinski, C.; Kamitani, F.; Machado, I.; Winter, C. Molecular and Morphological Characterization of Heterorhabditid Entomopathogenic Nematodes from the Tropical Rainforest in Brazil. Mem. Inst. Oswaldo Cruz. 2008, 103, 150–159. [Google Scholar] [CrossRef] [PubMed]
  61. Bhat, A.H.; Chaubey, A.K.; Shokoohi, E.; William Mashela, P. Study of Steinernema Hermaphroditum (Nematoda, Rhabditida), from the West Uttar Pradesh, India. Acta Parasitol. 2019, 64, 720–737. [Google Scholar] [CrossRef] [PubMed]
Insects 14 00150 g001 550
Figure 1. Scree plots of the ordered eigenvalues based on infective juveniles.
Figure 1. Scree plots of the ordered eigenvalues based on infective juveniles.
Insects 14 00150 g001
Insects 14 00150 g002 550
Figure 2. Scree plots of the ordered eigenvalues based on first-stage adult males.
Figure 2. Scree plots of the ordered eigenvalues based on first-stage adult males.
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Insects 14 00150 g003 550
Figure 3. Principal component analysis of morphometric variables for infective juveniles.
Figure 3. Principal component analysis of morphometric variables for infective juveniles.
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Insects 14 00150 g004 550
Figure 4. Principal component analysis of morphometric variables for first-stage adult males.
Figure 4. Principal component analysis of morphometric variables for first-stage adult males.
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Insects 14 00150 g005 550
Figure 5. Principal component analysis for infective juveniles—individuals.
Figure 5. Principal component analysis for infective juveniles—individuals.
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Insects 14 00150 g006 550
Figure 6. Principal component analysis for first-stage adult males—individuals.
Figure 6. Principal component analysis for first-stage adult males—individuals.
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Table
Table 1. Student’s t-test for numbers of live Z. tenebrioides larvae and damaged plants per m2 before the application of nematodes.
Table 1. Student’s t-test for numbers of live Z. tenebrioides larvae and damaged plants per m2 before the application of nematodes.
Parameterp-Value
Shapiro–Wilk Test		MedianMeanStandard Deviation (SD)
Live larvae of
Z. tenebrioides		0.0899132.9250.6857
Plants damaged by
Z. tenebrioides		0.0901654.7251.2401
Table
Table 2. Mean number of live Z. tenebrioides larvae and damaged plants per m2 after 14 day exposure to four isolates of S. feltiae nematodes.
Table 2. Mean number of live Z. tenebrioides larvae and damaged plants per m2 after 14 day exposure to four isolates of S. feltiae nematodes.
Nematode IsolatesParameterMedianMeanSD
Commercial isolateLive larvae22.250.9105
Plants damaged32.950.9987
iso1DanLive larvae 22.050.6863
Plants damaged32.850.7452
iso1LonLive larvae 21.850.7452
Plants damaged 32.750.7864
iso1OblLive larvae 33.250.9666
Plants damaged 55.251.0196
Table
Table 3. p-Values in the Shapiro–Wilk test.
Table 3. p-Values in the Shapiro–Wilk test.
Nematode IsolatesNo. Live Larvae of
Z. tenebrioides		No. Plants Damaged by
Z. tenebrioides
Commercial isolate0.01580.0022
iso1Dan0.00110.0012
iso1Lon0.00120.0094
iso1Obl0.01930.0110
Table
Table 4. p-Values in the Mann–Whitney U test for the number of live larvae (values above the main diagonal of the table) and the number of damaged plants (values below the main diagonal of the table).
Table 4. p-Values in the Mann–Whitney U test for the number of live larvae (values above the main diagonal of the table) and the number of damaged plants (values below the main diagonal of the table).
Commercial Isolateiso1Daniso1Loniso1Obl
Commercial isolate—0.53820.17010.0031
iso1Dan0.9425—0.36900.0002
iso1Lon0.73980.7697—0.0001
iso1Obl0.00000.00000.0000—
Table
Table 5. Percentage of G. mellonella larvae killed by nematodes of different EPN isolates after 14 or 60 days in the soil.
Table 5. Percentage of G. mellonella larvae killed by nematodes of different EPN isolates after 14 or 60 days in the soil.
DaysCommercial Isolateiso1Daniso1Loniso1Obl
14 days97%100%100%92%
60 days93%99%100%83%
Table
Table 6. Correlation coefficients among morphometric traits of S. feltiae infective juveniles for all isolates. All coefficients that are statistically significant ( p < 0.05 ) are marked in red.
Table 6. Correlation coefficients among morphometric traits of S. feltiae infective juveniles for all isolates. All coefficients that are statistically significant ( p < 0.05 ) are marked in red.
LWEPNRESTABWabcDE
L1———————————
W0.4841——————————
EP0.5310.3061—————————
NR0.4180.3360.4701————————
ES0.4090.3240.3920.4011———————
T0.4410.3050.3820.4270.4091——————
ABW0.4220.3980.4740.4460.2720.3631—————
a0.627−0.3750.2890.1410.1490.1900.0901————
b0.9240.3960.4160.2910.0310.3070.3460.6251———
c0.9380.4180.4400.3010.2980.1020.3230.6220.9051——
D0.2300.0670.7260.179−0.3470.0840.2770.1800.3950.2211—
E0.2550.1150.7820.2080.132−0.2760.2500.1700.2250.3890.6991
Table
Table 7. Correlation coefficients among morphometric traits of first-stage male S. feltiae for all isolates. All coefficients that are statistically significant ( p < 0.05 ) are marked in red.
Table 7. Correlation coefficients among morphometric traits of first-stage male S. feltiae for all isolates. All coefficients that are statistically significant ( p < 0.05 ) are marked in red.
LWEPESTABWSLGLabcDE
L1————————————
W0.1381———————————
EP0.2610.2061——————————
ES0.1400.2660.3851—————————
T0.2060.1870.3130.2501————————
ABW0.1830.2660.2550.1680.2161———————
SL0.0150.2170.1150.2700.0350.1441——————
GL0.1490.3120.3510.3350.3130.2890.2881—————
a0.493−0.788−0.005−0.164−0.048−0.132−0.184−0.1801————
b0.8890.0060.075−0.3280.0780.100−0.107−0.0100.5491———
c0.7830.0050.037−0.035−0.4450.031−0.005−0.0610.4840.7661——
D0.119−0.0450.593−0.5150.0690.089−0.1260.0340.1400.3540.0651—
E−0.015−0.0320.4150.034−0.733−0.0300.048−0.0520.040−0.0240.4500.3591
Table
Table 8. p -Values in Bartlett’s test and Kaiser–Meyer–Olkin (KMO) criterion.
Table 8. p -Values in Bartlett’s test and Kaiser–Meyer–Olkin (KMO) criterion.
p -Value KMO
Infective juveniles<2.2 ×   10 − 16 0.6515
Adult first-stage males<2.2 ×   10 − 16 0.5471
Table
Table 9. Initial eigenvalues from PCA for infective juveniles and first-stage adult males.
Table 9. Initial eigenvalues from PCA for infective juveniles and first-stage adult males.
Principal ComponentInfective JuvenilesFirst-Stage Adult Males
Total%
of Variance		Cumulative %Total%
of Variance		Cumulative %
14.986141.550941.55093.280725.236025.2360
22.018216.818158.36902.720720.928846.1648
31.750114.584572.95351.916814.744860.9096
41.12619.384082.33751.620712.467373.3768
51.00058.337690.67511.23769.519882.8966
60.59204.933195.60810.85196.553489.4500
70.52314.359099.96710.76805.907995.3578
80.00270.022299.98930.59604.584999.9428
90.00050.003899.99310.00470.036299.9790
100.00040.003299.99630.00140.010999.9900
110.00030.002299.99850.00070.005599.9954
120.00020.00151000.00040.002899.9982
13———0.00020.0018100
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Matuska-Łyżwa, J.; Wodecka, B.; Kaca, W. Characterization of Steinernema feltiae (Rhabditida: Steinernematidae) Isolates in Terms of Efficacy against Cereal Ground Beetle Zabrus tenebrioides (Coleoptera: Carabidae): Morphometry and Principal Component Analysis. Insects 2023, 14, 150. https://doi.org/10.3390/insects14020150

AMA Style

Matuska-Łyżwa J, Wodecka B, Kaca W. Characterization of Steinernema feltiae (Rhabditida: Steinernematidae) Isolates in Terms of Efficacy against Cereal Ground Beetle Zabrus tenebrioides (Coleoptera: Carabidae): Morphometry and Principal Component Analysis. Insects. 2023; 14(2):150. https://doi.org/10.3390/insects14020150

Chicago/Turabian Style

Matuska-Łyżwa, Joanna, Barbara Wodecka, and Wiesław Kaca. 2023. "Characterization of Steinernema feltiae (Rhabditida: Steinernematidae) Isolates in Terms of Efficacy against Cereal Ground Beetle Zabrus tenebrioides (Coleoptera: Carabidae): Morphometry and Principal Component Analysis" Insects 14, no. 2: 150. https://doi.org/10.3390/insects14020150

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