Hostname: page-component-cb9f654ff-d5ftd Total loading time: 0 Render date: 2025-08-02T04:23:50.015Z Has data issue: false hasContentIssue false

Some Trichoderma strains and nitrogen fertilisation impact on Cydalima perspectalis (Walker, 1859) (Lepidoptera: Crambidae) larvae

Published online by Cambridge University Press:  23 June 2025

Emel Topçu
Affiliation:
Arts and Sciences Faculty, Department of Biology, Recep Tayyip Erdoğan University, Rize, Turkey
Nurver Altun*
Affiliation:
Arts and Sciences Faculty, Department of Biology, Recep Tayyip Erdoğan University, Rize, Turkey
Leyla Kılcı
Affiliation:
Arts and Sciences Faculty, Department of Biology, Recep Tayyip Erdoğan University, Rize, Turkey
Şengül Alpay Karaoğlu
Affiliation:
Arts and Sciences Faculty, Department of Biology, Recep Tayyip Erdoğan University, Rize, Turkey
Özlem Faiz
Affiliation:
Arts and Sciences Faculty, Department of Biology, Recep Tayyip Erdoğan University, Rize, Turkey Arts and Sciences Faculty, Department of Chemistry, Recep Tayyip Erdoğan University, Rize, Turkey
*
Corresponding author: Nurver Altun; Email: nurver.altun@erdogan.edu.tr
Rights & Permissions [Opens in a new window]

Abstract

Cydalima perspectalis (Walker, 1859) (Lepidoptera: Crambidae) larvae feed on Buxus. It is considered to be the most critical pest of boxwood trees. This study investigated whether different strains of Trichoderma harzianum had an effect on the biocontrol of larvae feeding on boxwood leaves whose nitrogen content was varied by fertilisation. Larvae were collected while feeding on boxwood seedlings in Rize parks and gardens in June 2021. In addition, G1 (no fertilisation), G2 (1.55%), and G5 (1.67%) leaves with different nitrogen concentrations obtained by nitrogen fertilisation were also used as food. As biocontrol agents, ID11D and YP1A strains of T. harzianum were applied in three doses: 50, 100, and 200 μL per water. In total, 21 different groups were created. The nutritional indices of the larvae belonging to the different groups were calculated. In addition, the activities of phenoloxidase, superoxide dismutase, catalase, and glutathione peroxidase activities were measured by taking haemolymph samples. In both strains, the enzyme activities increased with the dose applied. However, it was found that the enzyme activities of the ID11D strain applied were higher than those of the YP1A strain. It can be said that the ID11D strain is effective in controlling C. perspectalis larvae feeding on fertilised boxwood and the YP1A strain is effective in controlling larvae feeding on unfertilised boxwood.

Information

Type
Research Paper
Copyright
© The Author(s), 2025. Published by Cambridge University Press.

Introduction

Boxwood is one of the most economically valuable timbers because it is heavy, fine-grained, and resistant to splitting and chipping (Bayramoğlu et al., Reference Bayramoğlu, Demir and Gençer2023). The species is slow growing and prefers moist and nutrient-rich soils (Bayramoğlu et al., Reference Bayramoğlu, Demir and Gençer2023). Buxus sempervirens is native to some parts of Europe, Africa, Asia, England, Morocco, Turkey, the Caucasus, and Iran (Chadburn and Barstow, Reference Chadburn and Barstow2018; Decocq et al., Reference Decocq, Bordier, Wattez and Racinet2004). Boxwood grows naturally in forests around the Black Sea, Thrace, the southern Marmara, and the eastern and western Mediterranean forests of Turkey (Lehtijarvi et al., Reference Lehtijarvi, Lehtijarvi and Oskay2017). Buxus sempervirens, which generally spreads in the forest substrate, has established a natural population of approximately one thousand hectares in the forests of Turkey.

The primary hosts of the larvae of the invasive pest Cydalima perspectalis (Walker, 1859) (Lepidoptera: Crambidae) are boxwood species, including, Buxus microphylla, Buxus microphylla var. insularis, B. sempervirens, and Buxus sinica. The larvae feed on the leaves of boxwood, causing severe defoliation and tree mortality (Alkan Akıncı and Kurdoğlu, Reference Alkan Akıncı and Kurdoğlu2019). C. perspectalis is native to Europe (2007), southwestern Germany (Krüger, Reference Krüger2008), and Switzerland (Billen, Reference Billen2007; Käppeli, Reference Käppeli2008; Sigg, Reference Sigg2009), and is rapidly spreading to other European countries. The species, a very cosmopolitan pest, has been detected in Asia, America, and Africa (Can et al., Reference Can, Ercan and Ulasli2022). It was first detected in Turkey in 2011 in parks and gardens in the Sarıyer district of Istanbul (Hızal et al., Reference Hızal, Köse, Yeşil and Kaynar2012). It was detected in Düzce, Artvin, Bartın, and Kastamonu (Öztürk et al., Reference Öztürk, Akbulut and Yüksel2016; Yıldız et al., Reference Yıldız, Yıldırım and Bostancı2018), in Rize Kaçkar Mountains National Park in 2019 (Toper Kaygın and Taşdeler, Reference Toper Kaygın and Taşdeler2019), and in Hatay in 2022 (Ak et al., Reference Ak, Sarı, Altaş and Yaşar2021).

The effectiveness of different microorganisms as biocontrol applications against C. perspectalis has been tested. Beauveria bassiana (Dong et al., Reference Dong, Yao, Deng, Zhang, Zeng, Li, Tang and Wang2022; Zamani et al., Reference Zamani, Farahani, Farashiani, Salehi and Samavat2018), two isolates of Anagrapha falcifera nucleopolyhedrovirus named Dn10 and BI-235 (Rose et al., Reference Rose, Kleespies, Wang, Wennmann and Jehle2013), Isaria fumosorosea (Zemek et al., Reference Zemek, Konopická and Ul Abdin2020) and the activities of Bacillus thuringiensis (Berliner) have been studied (Las Heras and Arimany, Reference Las Heras and Arimany2020; Las Heras et al., Reference Las Heras, Arimany, Artola and Bassols2019). Rose et al. (Reference Rose, Kleespies, Wang, Wennmann and Jehle2013) examined that the virulence of the various isolates of A. falcifera, demonstrating the BI-235 isolate’s LC50 value was 7.8 × 10(5) OBs/mL, and the Dn10 isolate’s LC50 value was 2.3 × 10(6) OBs/mL. Zemek et al. (Reference Zemek, Konopická and Ul Abdin2020) applied 1 × 104 to 1 × 108 spores per 1 mL to determine the effectiveness of the CCM 8367 strain of I. fumosorosea on the last larval stage of C. perspectalis. It was reported that the effectiveness of the applied doses and strain on pupal mortality was at most 60%. There are also studies on the effectiveness of entomopathogenic nematodes (Choo et al., Reference Choo, Kaya, Lee, Kim and Kim1991; Yaman, Reference Yaman2023). Entomopathogenic nematodes are obligate parasites and reproduce in insect larvae (Van der Linden et al., Reference Van der Linden, Fatouros and Kammenga2022). Steinernema carpocapsae caused 97.8–100% mortality in C. perspectalis larvae under laboratory conditions (Choo et al., Reference Choo, Kaya, Lee, Kim and Kim1991). Fungi belonging to the Trichoderma genus can cause adverse effects on the roots of plants (Contreras-Cornejo et al., Reference Contreras-Cornejo, Macías-Rodríguez, Del-val and Larsen2016). However, in recent years, there has been evidence that Trichoderma supports plant growth and has a biocontrol effect against plant pathogens (Poveda, Reference Poveda2021). Trichoderma harzianum strain 101645 and strain 206040 have shown insecticidal activity when ingested by Tenebrio molitor larvae or when applied to the cuticle with serine protease (Shakeri and Foster, Reference Shakeri and Foster2007).

Insects encounter entomopathogens, metabolic processes, and immune responses within the insect body (Jiang et al., Reference Jiang, Yifan, Jiayi, Yiyi, Gexin and Iaqin2020; Qu and Wang, Reference Qu and Wang2018). Phenoloxidase (PO), one of the humoral immune enzymes, is a critical defense factor against pathogens or insecticides (Jiang et al., Reference Jiang, Yifan, Jiayi, Yiyi, Gexin and Iaqin2020). PO activation causes the formation of a melanin coating around the pathogen and chemically involves the formation of short-lived reactive quinones (Lalitha et al., Reference Lalitha, Karthi, Vengateswari, Karthikraja, Perumal and Shivakumar2018). Another reaction that occurs when pathogens are encountered is the generation of reactive oxygen species (ROS). These free radicals cause protein oxidation, lipid peroxidation, nucleic acid damage, and activation of the immune system (Meşe et al., Reference Meşe, Tunçsoy and Özalp2022). Insects also have various antioxidant and detoxification enzymes that scavenge free radicals and function in the biotransformation of toxic metabolites. The most important of these enzymes are superoxide dismutase (SOD), glutathione peroxidase (GPx), and catalase (CAT) (Lalitha et al., Reference Lalitha, Karthi, Vengateswari, Karthikraja, Perumal and Shivakumar2018). SOD is the first line of defense against ROS. SOD scavenges superoxide anions and detoxifies them by converting them into hydrogen peroxide and oxygen. Hydrogen peroxide is then converted into water and oxygen by CAT and GPx (Lalitha et al., Reference Lalitha, Karthi, Vengateswari, Karthikraja, Perumal and Shivakumar2018).

Herbivore insects obtain all the nutrients necessary for their development from the plants they feed on. Nitrogen, one of the nutrients, is found in the protein and DNA structure and affects fecundity. In addition, the amount of nitrogen in the plant affects the development rates of pests, development times, larval period length, life span, and population density (Bala et al., Reference Bala, Sood, Pathania and Thakur2018). The world is experiencing dramatic climate changed and increased denitrification caused by global warming reduces the availability of nitrogen in the soil. The increase in nitrogen has critical consequences, especially in nitrogen-poor soils. The lost nitrogen having to be replaced (Dong et al., Reference Dong, Yao, Deng, Zhang, Zeng, Li, Tang and Wang2022). Nitrogen fertilisation stimulates plant grow and development by providing the necessary nutrients (Singh and Sood, Reference Singh and Sood2017). Appropriate application changes the quality of plant nutrients and defence mechanisms, directly affecting insects that feed on plants (Chen et al., Reference Chen, Schmelz, Wäckers and Ruberson2008). Insect feeding includes food intake, absorption, assimilation, biosynthesis, catabolism, and excretion (Bala et al., Reference Bala, Sood, Pathania and Thakur2018). Calculation of nutritional indices using the gravimetric method developed by Waldbauer (Reference Waldbauer1968) has been used for many years to understand changes in consumption and assimilation (Stoyenoff et al., Reference Stoyenoff, Witter and Montgomery1994), determine insect performance on different host plants (Mehrkhou et al., Reference Mehrkhou, Mahmoodi and Mousavi2013), measure insects physiological stress responses (Nathan et al., Reference Nathan, Chung and Murugan2005; Rayapuram and Baldwin, Reference Rayapuram and Baldwin2006), and determine host plant resistance (Nathan, Reference Nathan2013). Essential nutritional indices are approximate digestibility (AD) of food, efficiency of conversion of ingested food (ECI), efficiency of conversion of digested food (ECD), relative consumption rate (RCR), and relative growth rate (RGR) (McEwan et al., Reference McEwan, Rieske and Arthur2009).

In the study, it was investigated whether nitrogen fertilisation has an effect on the biocontrol of C. perspectalis larvae inoculated with different strains of T. harzianum. Boxwood seedlings are fertilised because they like nutrient-rich soils and are used for landscaping purposes in parks, gardens, and forestry. Therefore, it was aimed to carry out more effective biocontrol by determining whether the effects of the strains were different in the areas where fertilisation was done. Two different strains of T. harzianum were used in the study. The YP1a strain was isolated from garden soil in the Kirazlık neighbourhood of Pazar district, Rize province, in August 2014. YP1a was identified as a highly antagonistic strain against Fusarium species (12 different strains), Sclerotium sclerotia and Botrytis cinerea, which are considered responsible for diseases such as wilting and damping-off in tomato and pepper plants. According to Kasap (Reference Kasap2018), YP1a showed higher efficacy in tomato seed germination (70% success rate) compared to the control, and significantly improved root, stem, and leaf development, as well as water-holding capacity in tomato plants. The ID11D strain, on the other hand, was isolated from the soil of tea plantations in İkizdere Valley, Rize, as reported by Alpay Karaoglu and Ülker (Reference Alpay Karaoglu and Ülker2006). It is preserved in the culture collection of Recep Tayyip Erdoğan University Biology Department as a Trichoderma spp. strain from İkizdere (ID) tea soil. Bozdeveci (Reference Bozdeveci2014) found that the ID11D strain exhibited high antifungal and antibacterial activity. Bozdeveci (Reference Bozdeveci2014) also found that ID11D has high chitinase activity. The aim of this study was to investigate the effects of these two different strains in pest control. For this purpose, nutritional indices of larvae fed on leaves with different nitrogen amounts and treated strains were calculated. Nutritional indices are a factor that determines whether the larvae use the consumed plants, as even if the plant is consumed, the larvae may not use it for development. Knowing this will also be helpful for the control. In addition to nutritional indices, physiological changes in larval immune, and antioxidant systems due to fertilisation and infection with different T. harzianum strains were examined.

Material and methods

Larval and plant sampling

C. perspectalis larvae were collected while feeding on boxwood (Buxus microphylla) seedlings in the parks and gardens of Rize province in June 2021. The collected larvae were brought to the laboratory and placed in transparent containers. A sufficient number of B. microphylla leaves to be used in feeding experiments were collected from the same region at the same time as the larvae and stored at +4°C to ensure that the amount of secondary metabolites and nitrogen did not change with plant growth. Plant samples that had not previously been treated with insecticide or fertiliser were selected.

Fungal culture and preparation of spore suspension

Two strains of T. harzianum, ID11D and YP1A, were used to infect to plant samples. Strain YP1A was isolated from a tomato garden in Pazar district, Rize province (Kasap, Reference Kasap2018), and the strain ID11D was isolated from the İkizdere district, Rize province (Bozdeveci, Reference Bozdeveci2014). Potato dextrose agar was used for fungal culture. According to the manufacturer’s recommendation, the medium was weighed at 39 g/L and sterilised in an autoclave at 121°C for 20 min. After allowing it to cool slightly, it was poured into sterile Petri dishes and used after cooling and freezing. The Trichoderma isolates were revived from glycerol stock culture at −80° for use in experiments and used in the study. For the spore suspensions to be used in the study, fungal cultures were incubated at 28°C for 7–10 days after single colony inoculation on Sabouraud dekstrose agar media. The same method was used for all fungal suspensions prepared throughout the study. A spore suspension containing 1 × 107 cfu/mL spores from a 7- to 10-day culture was used in this study.

Nitrogen fertilisation and feeding experiment

Leaves with three different levels of nitrogen were used in the study. Nitrogen fertilisation was applied to achieve the desired nitrogen level. There was also a group with no fertilisation. NCS fertiliser was used in the laboratory at concentrations of 2.5% and 5%. The leaves to be used for fertilisation were kept in an aqueous solution prepared at 2.5% (G2) and 5% (G5) concentrations for 12 h and then used in feeding experiments (Firidin and Mutlu Reference Firidin and Mutlu2009). In the study, leaves without fertilisation were referred to as G1. As the study aimed to investigate the effects of two different cultivars, separate experimental groups were established for each cultivar. In the feeding trials, where nutritional index and pupal mass were determined, four different feeding groups were established for each nitrogen concentration. No fungus was applied to one group. The other groups were treated with 50, 100, and 200 µL doses of the YP1A strain. The same feeding groups were prepared for the ID11D strain and the same doses were applied. This resulted in a total of 21 different experimental groups. The names of the feeding groups are given in table 1.

Table 1. Feeding groups set up with larvae fed on leaves containing different concentrations of nitrogen and treated with different doses of different trichoderma strains

In the feeding experiments, 15 larvae were individually placed in each group to determine their nutritional indices. The last larval stage was used to calculate the nutritional indices. Food was given to the larvae at 1-day intervals, and at each change of food, the weight of the larvae was measured and recorded on a precision balance to an accuracy of 0.0001 units. The fungal applications were also repeated on the days when the diet was changed. Feeding and weighing continued until the larvae pupated. The remaining food was labelled and dried in an oven at 50°C until it reached a constant weight. The consumption of the larvae was then calculated. The faeces of the last larval stage were collected and dried to be used in the calculation of nutritional indices. Pupae were kept in an oven at 50°C until they reached a constant weight, and pupal mass was calculated.

Nutritional indices for all experimental groups were calculated for the last larval instar as formulated by Stoyenoff et al. (Reference Stoyenoff, Witter and Montgomery1994) (table 2). Nutritional indices are AD, convertibility of digested food (ECD), convertibility of ingested food (ECI), RGR ratio, and RCR.

Table 2. Nutritional indices formula (Stoyenoff et al., Reference Stoyenoff, Witter and Montgomery1994)

A second feeding group was established to determine enzyme activities. Each feeding group was also set up for these experiments. However, the larvae in each experimental group were fed collectively rather than individually. Fungal applications and food changes were repeated every other day. In these feeding groups, pre-pupa larvae were first sterilised with 95% ethanol, the last proleg was punctured with a sterile needle, and the haemolymph was collected in Eppendorf tubes. It was frozen at −27°C until needed (Lee et al., Reference Lee, Simpson and Wilson2008). The collected haemolymph samples were used for biochemical analyses.

Preparing haemolymph for enzyme activities

Haemolymph samples were prepared for all enzyme activity assays as follows. And 8 μL haemolymph and 400 μL ice-cold phosphate-buffered saline (pH 7.4) were mixed and vortexed. Samples were frozen at −20°C to disrupt haemocyte membranes (Wilson et al., Reference Wilson, Cotter, Reeson and Pell2001). The total protein concentration of the haemolymph was measured according to the Bradford method (Bradford, Reference Bradford1976).

PO activity measurement

PO activity was determined according to the protocol of Lee et al. (Reference Lee, Simpson and Wilson2008). The buffered haemolymph solution prepared in the previous step was transferred to another Eppendorf tube, and 100 μL of 10 mM l-dopa (substrate) solution was added. The mixture was incubated at 25°C for 20 min. At the end of the incubation period, the absorbance of the mixture was measured at a wavelength of 492 nm using a microplate reader. Enzyme activity was expressed as U/mg protein.

Antioxidant enzyme activity

Superoxide dismutase activity in haemolymph samples was determined spectrophotometrically by a method that prevents the reduction of nitroblue tetrazolium (NBT) to formazan (Beauchamp and Fridovich, Reference Beauchamp and Fridovich1971). The reaction mixture was carried out in a medium containing 100 µM NBT and 50 µM xanthine in 10 mM phosphate buffer solution (pH 7.40). The concentration of xanthine oxidase was adjusted to give a change in absorbance of 0.025/min at a wavelength of 560 nm in the reaction mixture (final concentration of 0.01 U/mL). Enzyme activity was expressed as U/mg protein.

CAT activity was determined spectrophotometrically by measuring the decrease in hydrogen peroxide (H2O2) concentration at 240 nm (Aebi, Reference Aebi and Packer1984). A freshly prepared hydrogen peroxide solution with a concentration of 0.036% (w/w) was used. The change in absorbance was monitored by mixing 2.80 mL of hydrogen peroxide solution with 20 μL of haemolymph sample in a quartz cuvette. Enzyme activity was expressed as U/mg protein.

GPx activity was measured spectrophotometrically according to the method developed by Drotar et al. (Reference Drotar, Phelps and Fall1985). H2O2 was used as the substrate. The reaction mixture (250 μL) contained 2 mM glutathione (GSH), 1 mM EDTA, 0.1 mM NADPH, 2.5 units of GSH reductase, and 90 μM HO. GPx activity was calculated from the rate of peroxide removal rate determined by monitoring changes in absorbance at 340 nm resulting from oxidation of NADPH. The rate of oxidation of NADPH was measured at 348 nm. Enzyme activity was expressed as U/mg protein.

Mortality rate

The mortality rate for each group was corrected using the Sun–Shepard formula according to Püntener (Reference Püntener1981) (Atwa, Reference Atwa2018; Emilie et al., Reference Emilie, Mallent, Menut, Chandre and Martin2015).

\begin{align*} & Corrected\,\left( \% \right) \\ & \quad = \left( {Mortality\,\% TP\, \pm change\,\% in\,CPP\, \pm \frac{{change\% CPP}}{{100}}} \right)\,x\,100\end{align*}
\begin{align*} & Change\,\% in\,CP\,mortality\\ & \quad = \left( {\frac{{CPP\,afterT - CPP\,before\,T}}{{CP\,before\,T}}} \right)\,X\,100\end{align*}

where TP = treated plot; CPP = control plot population, in this study control treatment; and T = treatment.

Statistical analyses

AD values of larvae treated with the YP1A strain and mortality rates of larvae treated with both strains were normally distributed (Kolmogorov–Smirnov normality test), analysis of variance (ANOVA) was used, followed by Tukey’s Honestly Significant Difference test was used to compare the effect of different strains on larval parameters. The data for the other parameters are non-parametric. Therefore, the difference between the groups was determined by a Kruskal–Wallis test with pairwise comparison. A two-way ANOVA test was used to determine the effect of T. harzianum strain dosage and nitrogen amount on C. perspectalis survival, nutritional indices, enzyme activities, and mortality rate. For this purpose, square root transformation was used to bring non-parametric groups closer to a normal distribution. A correlation test was performed to determine the relationship of the parameters with dose and nitrogen level, followed by multiple regression analysis. SPSS version 23.0 was used for statistical analysis.

Results

In the study, the nitrogen content of the leaves was changed by fertilisation using NPC fertiliser. Nitrogen amounts of leaves used in feeding experiments are given in table 3. However, the amounts of phosphorus and carbon did not differ significantly between the groups (p > 0.05).

Table 3. Nitrogen amounts in leaves ± standard error

Note: Different letters indicate differences between groups (df = 2, F = ı81.63, p < 0.01).

Nutritional indices and pupal mass

This study investigated the effects of different T. harzianum strains on the nutritional indices and mortality of larvae fed on plants with different levels of nitrogen. The highest AD value of larvae treated with the strain YP1A was found in the YP1A200 diet, and the lowest value was found in the uninfected larvae fed on the G2 diet. However, the lowest AD value in the group treated with the ID11D strain was in the larvae fed on the G5 diet and treated with 100 μL of fungal suspension and the G1 diet treated with 50 μL of fungal suspension. In larvae treated with both strains, the amounts of nitrogen and dosage affected the AD value (two-way ANOVA, YP1A; df = 6, F = 3.93, p < 0.01; ID11D; df = 6, F = 984.93, p < 0.01). However, while the AD value of larvae treated with the strain YP1A increased with the dose, it decreased with the amount of nitrogen. However, no correlation was found between nitrogen level, dose, or AD value for strain ID11D (table 4).

Table 4. Correlation coefficients between nutritional indices and enzyme activities of larvae and nitrogen content of the plant and application dose of the treated strain

The lowest ECD value was found in larvae fed on the G1 diet for both strains. In contrast, the highest ECD value in larvae treated with strain YP1A was recorded in larvae fed on the G2 diet and treated with 200 μL of fungal suspension. The highest value for the strain ID11D was determined in the larvae fed on the G5 diet and treated with 100 μL of fungal suspension (fig. 1). In larvae treated with both strains, the amount of nitrogen and the dose together influenced the ECD value (two-way ANOVA; YP1A, df = 6, F = 1271.34, p < 0.01; ID11D, df = 6, F = 275.53, p < 0.01 ). However, in the strain YP1A, all parameters individually had no effect. As indicated by the higher F value, the YP1A strain has a greater effect on the ECD values in comparison to the ID11D strain. The ECD value for YP1A decreases as the amount of nitrogen increases, although no relationship could be established. In the strain ID11D, the ECD value increased with both the amount of nitrogen (r = 0.49, p < 0.01) and the application dose (table 4).

Figure 1. AD, ECD, and ECI of C. perpectalis larvae treated with different strains trichoderma (a–c) YP1A strain; (d–f) ID11D strain). Note: *Nutritional indices differ among the groups. For AD: YP1A; F = 14.78, df = 11, p < 0.01; for ID11D, F = 11,375, df = 11, p < 0.01. ECD: YP1A; X 2 = 163.84, df = 11, p < 0.01; ID11D: X 2 = 165.6, df = 11, p < 0.01. ECI: YP1A; X 2 = 164.27, df = 11, p < 0.01; ID11D; X 2 = 153.91, df = 11, p < 0.01.

The lowest ECI values for both strains were in the G1 diet without fertlisation, was 200 μL of fungal suspension was applied. The highest value was found for larvae fed on the G5 diet and treated with 100 μL of YP1A fungal suspension. For the strain ID11D, the highest value belongs to the larvae fed on the G5 diet and treated with 100 μL of fungal suspension (fig. 1). The amount of nitrogen and dosage affected the ECI value (F = 1319.39, p < 0.01) for strain YP1A. The ECI decreased as the amount of nitrogen increased. No relationship was found between application dosage and ECI value (table 4). For the ID11D strain, the amount of nitrogen and the application dosage influenced the ECI value (two-way ANOVA, df = 6, F = 44.51, p < 0.01). The ECI value was found with increasing nitrogen amount and application dose (table 4).

The lowest RCR value was found in the larvae fed on the G5 diet and treated with 50 μL of fungal suspension for the strain YP1A. For strain ID11D, the lowest value belongs to the larvae fed on the G5 diet and treated with 50 μL of fungal suspension (fig. 2). The highest RCR value was obtained with the YP1A200 diet for strain YP1A. For ID11D strains, RCR values were higher for uninfected larvae fed on G1 and G5 diets (fig. 2). In contrast to the AD and ECD values, the highest RCR values were found for the YP1A strain. In larvae treated with both strains, YP1A and ID11D, the amount of nitrogen and the application dose together affected the RCR value (respectively; df = 6, F = 117.87, p < 0.01; df = 6, F = 386.07, p < 0.01). The RCR value decreased as the amount of nitrogen increased, and the value increased as the applied dose increased for the strain YP1A strain. However, the amount of nitrogen does not affect the RCR value for the ID11D strain. However, the RCR value decreases as the applied dose increases for the ID11D strain (table 4).

Figure 2. RCR and RGR of C. perpectalis larvae treated with different trichoderma strains (a, b) YP1A strain; (c, d) ID11D strain. Note: Values in both strains differ between groups (RCR: YP1A; X 2 = 129.38, df = 11, p < 0.01; ID11D; X 2 = 144.08, df = 11, p < 0.01); RGR: YP1A; X 2 = 149.30, df = 11, p < 0.01; ID11D; X 2 = 169.60, df = 11, p < 0.01).

The lowest RGR values were found in larvae fed the G5 diet treated with 50 μL of fungal suspension for strain YP1A and the G1 diet treated with 200 μL of fungal suspension for strain ID11D. The highest values were found in larvae fed on the YP1A100 and G5 diets treated with 200 μL of fungal suspension for strain YP1A. The highest value was found for strain ID11D fed on the G5 diet (fig. 2). In the treated larvae with strain YP1A, the amount of nitrogen and application dosage affected the RGR value (two-way ANOVA, df = 6, F = 255.44, p < 0.01). In the ID11D strain, it was found that nitrogen level and application dose together affected the RGR value in the treated larvae (two-way ANOVA df = 6, F = 402.27, p < 0.01). In the YP1A strain, the RGR value increased with increasing application dose; in the ID11D strain, the RGR value was found to decrease with increasing application dose. No relationship was found between the amount of nitrogen and the RGR value in either strain (table 4).

The lowest pupal mass was found in the untreated G2 diets for both strains. The highest pupal weights were in the G1 diet treated with 50 μL of fungal suspension for strain YP1A and in the G2 diet treated with 50 μL of fungal suspension for strain ID11D (fig. 3). It was found that nitrogen level and application dose together affected pupal mass for strain YP1A (two-way ANOVA, df = 6, F = 130.59, p < 0.01). While pupal mass decreased with increasing nitrogen level, no relationship was found between the application dose and the pupal mass (table 4). In the ID11D strain, the amount of nitrogen and application dose affected the pupal mass (two-way ANOVA, df = 6, F = 78.23, p < 0.01). While there was no relationship between nitrogen level and pupal mass, pupal mass increased with the increasing application dose (table 4).

Figure 3. (a) Pupal mass of larvae treated with IYP1A strain (mean ± standard error). (b) Pupal mass of larvae treated with ID11D strain (mean ± standard error). Note: Different letters indicate differences between groups. *p < 0.01.

Enzyme activities

The lowest PO activity in both strains was found in the G5 diet without treatment. In contrast, the highest activities were detected in larvae fed the G1 diet treatment at 200 μL of fungal suspension for YP1A strain and the G5 diet treatment at 200 μL of fungal suspension for strain ID11D (figs. 4 and 5). Nitrogen level and application dose affect PO activity in strains YP1A and ID11D (respectively; two-way ANOVA, df = 6, F = 16292.41, p < 0.01; df = 6, F = 40704.92, p < 0.01). In larvae treated with the strain YP1A, PO activity decreased with increasing nitrogen level, and activity increased with increasing application dose. In larvae treated with the strain ID11D, nitrogen has no effect on PO activity. However, the activity increased with increasing application dose (table 4).

Figure 4. (a–d) Enzyme activities of larvae treated with YP1A strain (mean ± standard error). Note: *Phenoloxidase: X 2 = 177.32, df = 11, p < 0.01. SOD: X 2 = 177.30, df = 11, p < 0.01; CAT: X 2 = 177.79, df = 11, p < 0.01.

Figure 5. (a–d) Enzyme activities of larvae treated with ID11D strain (mean ± standard error). Note: *Phenoloxidase: X 2 = 177.38, df = 11, p < 0.01. SOD: ID11D; X 2 = 177.14, df = 11, p < 0.01. CAT: X 2 = 175.35, df = 11, p < 0.01.

The lowest SOD activities were found on the G2 diet treatment of 50 μL for strain YP1A and the G1 diet treatment of 50 μL of fungal suspension for strain ID11D. The highest SOD activities were found on the G5 diet treatment of 100 μL for strain YP1A and the G2 diet treatment at 200 μL of fungal suspension for strain ID11D (figs. 4 and 5). SOD activity was higher in the YP1A treatment than in the ID11D treatment (figs. 4 and 5). In both strains, nitrogen and dose together affect SOD activity (two-way ANOVA, YP1A, df = 6, F = 349,250.45, p < 0.01; ID11D, df = 6, F = 58,593.81, p < 0.01). SOD activity increases with increasing nitrogen levels in larvae treated with strain YP1A. However, no relationship between dose and activity was found. In strain ID11D, the activity increases with increasing nitrogen level and the application dose (table 4).

The lowest CAT activities were found on the G5 diet treatment with YP1A strain and the G1 diet treatment of 100 μL of fungal suspension for strain ID11D. The highest activities were found on the G2 diet treatment of 200 μL of fungal suspension for strain YP1A and the G2 diet treatment of 200 μL of fungal suspension for strain ID11D (figs. 4 and 5). When comparing strains YP1A and ID11D, the CAT activity of strain ID11D is higher (figs. 4 and 5). In both strains, YP1A and ID11D, The amount of nitrogen and the dose affect the CAT activity (respectively, two-way ANOVA, df = 6, F = 112065.93, p < 0.01; df = 6, F = 200324.69, p < 0.01). It was observed that CAT activity increased with increasing dose in the treatment of both strains. However, no relationship was found between the amount of nitrogen and CAT activity in either strain (table 4).

It was found that the lowest GPx activities were on the G2 treatment of 50 μL for strain YP1A and the G5 diet treatment of 50 μL of fungal suspension for strain ID11D. The highest activities were on the G5 diet treatment of 200 μL of fungal suspension for strain YP1A and the G2 diet treatment of 200 μL of fungal suspension for strain ID11D (figs. 4 and 5). It was found that GPx activity was higher in the ID11D treatment than in the YP1A treatment (figs. 4 and 5). Nitrogen level and dose affected GPx activity in the strain YP1A (two-way ANOVA, df = 6, F = 207.51, p < 0.01). Increasing nitrogen level and dose increased GPx activity (table 4). In strain ID11D, nitrogen level and dose affected GPx activity (two-way ANOVA, df = 6, F = 4098.33, p < 0.01). As nitrogen level increased, GPx activity decreased, and as dose increased, activity increased (table 4).

Mortality rate

Mortality rates of larvae in the different diet groups corrected by the Sun–Sheppard formula are given in table 5. Accordingly, the highest mortality rate was recorded in the G5 diet treatment with 200 μL of fungal suspension of ID11D, and the lowest mortality rate was recorded in the larvae fed on the G2 diet treatment with 50 μL of both fungal suspension. In strain YP1A, mortality decreased with increasing nitrogen levels and increased with increasing dose levels. However, in contrast to strain YP1A, the amount of nitrogen had no effect on mortality, but the mortality rate increased with increasing dose (table 4).

Table 5. Sun–Sheppard formula-corrected mortality rates of larvae fed in the experimental groups described in table 1

Note: Different letters indicate differences between different groups (each strain was evaluated on its own).

Discussion

The most important way to prevent the damage caused by insect pests in agricultural and forest ecosystems is to have information on effective methods of control. Just as C. perspectalis larvae feed on naturally growing boxwood, they cause significant economic damage to boxwood seedlings grown for landscaping purposes in parks and gardens (Ok et al., Reference Ok, Ünal and Kaya2023). This study shows that ID11D and YP1A strains differentially affect larval food use efficiency and enzyme activities. Trichoderma isolates can promote plant growth due to their properties, such as rapid growth rates and antimicrobial metabolites. Trichoderma isolates are also an important antagonistic fungal agent against pests (Verma et al., Reference Verma, Brar, Tyagi, Surampalli and Valero2007). T. harzianum causes larval death by acting on the peritrophic membrane in the intestine when taken orally with its chitinase enzyme (Berini et al., Reference Berini, Caccia, Franzetti, Congiu, Marinelli, Casartelli and Tettamanti2016; Poveda, Reference Poveda2021). In addition, different isolates of entomopathogenic fungi may have different efficacy against the same species due to their characteristics, such as the secondary metabolites they possess and the activity of their conidia (Graf et al., Reference Graf, Scheibler, Niklaus and Grabenweger2023). Therefore, the differential efficacy of different strains on C. perspectalis larvae is an expected result.

Host plant quality is one of the factors that influence nutritional indices and one of indicators of the plant quality is the amount of nitrogen in plant material. Consumption and food availability are the main factors that influence the reproduction, development, and adult activity of insect (Nandhini et al., Reference Nandhini, Deshmukh, Kalleshwaraswamy, Satish and Sannathimmappa2023). ECD and ECI, among the nutritional indices, indicate the insects’s ability to digest and consume food (Nathan and Kalaivani, Reference Nathan and Kalaivani2005). Altered ECD and ECI values indicate changes in the utilisation of digested and ingested nutrients for body mass (Abdel-Rahman and Al-Mozini, Reference Abdel-Rahman and Al-Mozini2007). For both applied strains, the AD values of larvae fed on plants with different nitrogen levels did not show any differences. However, the ECD and ECI values of larvae treated with the ID11D strain were higher than those of larvae treated with the YP1A strain. However, RCR and RGR were found to be higher in the YP1A strain. The reason for the high ECD and ECI values in the ID11D strain, while RCR and RGR values were low in the same strain, indicates that the digested food could not be utilised for growth. Another noteworthy result is that although no relationship was found between ECD and ECI indices and dose in the YP1A strain, such a relationship was observed in the ID11D strain. The decrease in RCR and RGR values with the ID11D dose indicates that the ID11D strain may be effective in the biocontrol of C. perspectalis larvae. Feeding indices, for instance RGR, RCR, are vital indicators for recognising resistance in selected crops and executing pest management tactics (Ajmal et al., Reference Ajmal, Ali, Jamal, Saeed, Radicetti and Civolani2024). The decrease in RCR and RGR values may be because Trichoderma damages the insect cuticle and peritrophic membrane, resulting in decreased digestibility and availability of nutrients (Sarkhandia et al., Reference Sarkhandia, Devi, Sharma, Mahajan, Chadha, Saini and Kaur2023). In addition, damage to this region and the cuticle makes the insect more permeable to pathogens (Berini et al., Reference Berini, Caccia, Franzetti, Congiu, Marinelli, Casartelli and Tettamanti2016). The decreased RCR and RGR values mean that nutrients cannot be used sufficiently for vital events.

Fertilisation affects the morphology and physiology of the plant. The development time of the plant, the size of the plant parts, and the phytochemical properties of the plants can be altered by fertilisation. As a result, these changes may affect the use of the plant by pests (Hwang and Lauenroth, Reference Hwang and Lauenroth2008). In this study, the nitrogen content of the leaves was changed by fertilisation. This led to changes in larval nutritional indices and enzyme activities when different strains were used. It was found that ECD and RCR values decreased with increasing nitrogen in YP1A, while ECI and ECD values increased with increasing nitrogen in ID11D. It is known that the low nitrogen content of host plants reduces the performance of larvae. For example, it has been found that adult individuals of the species Pieris rapae prefer to lay eggs on plants whose nitrogen content has been increased by fertiliser application (Chen et al., Reference Chen, Lin, Wang, Yeh and Hwang2004). Similarly, Lymantria dispar larvae were found to have higher ECD and ECI values in diets with higher nitrogen content (Stockhoff, Reference Stockhoff1992). Therefore, in larvae fed on diets treated with YP1A, the decrease in ECD and RCR with increasing dietary nitrogen may be due to the inability of the larvae to utilise the food efficiently. In sugarcane plants, nitrogen fertilisation together with Trichoderma harzianum reduced the nutrient use efficiency of Sclerotium rolfsii individuals (Khattabi et al., Reference Khattabi, Ezzahiri, Louali and Oihabi2004). Therefore, nitrogen fertilisation and ID11D application in boxwood seedling cultivation may reduce the nutrient utilisation efficiency of larvae. These results are also supported by the mortality rates. In the YP1A application, larvae fed with nitrogen-rich food have a low mortality rate.

In Spodoptera littoralis when larvae were fed on Solanum lycopersicum leaves treated with Trichoderma, an imbalance in the metabolic activities of the gut microbiota was observed and pupal mass was reduced by the fungal toxins (Monte, Reference Monte2023). However, this study found that the pupal mass of C. perspectalis increased with increasing dose in the ID11D strain, whereas there was no relationship between the dose and pupal mass in the YP1A strain, which differs from the literature. Although pupal mass is considered an indicator of fecundity (Honěk, Reference Honěk1993), it is not the only determining factor.

PO activity and inhibition in invertebrates is a complex system. Phenol oxidase, which plays an essential role in melanogenesis, converts phenols into quinones. These are then polymerised to form melanin. Melanin plays a role in pigmentation of invertebrates. Melanin accumulation has been found to increase in the presence of pathogens, mechanical damage, and foreign substances (González‐Santoyo and Córdoba‐Aguilar, Reference González‐Santoyo and Córdoba‐Aguilar2012). In S. litura larvae infected with B. bassiana, PO activity was found to increase 24 h after infection (Bali et al., Reference Bali, Kaur and Kour2013). PO activities were found to increase 8–12 h after infection in Heterorhabditis bacteriophora larvae infected with Agriotes lineatus (Rahatkhah et al., Reference Rahatkhah, Karimi, Ghadamyari and Brivio2015). In infected C. perspectalis larvae in this study, an increase in PO activity was observed for both strains and with increasing dose, which is in agreement with the literature. However, it was found that the PO activities of larvae infected with the ID11D strain were higher than those infected with YP1A. In this case, the ID11D strain triggers the immune response of the larvae more than the YP1A strain.

Specific components of the insect immune system produce ROS to limit microbial growth. Insects produce several antioxidant and detoxification enzymes to scavenge free radicals. The main antioxidant enzymes are SOD, GPx, and CAT. SOD scavenges and detoxifies superoxide anions by converting them to hydrogen peroxide and oxygen. Hydrogen peroxide is converted to water and oxygen by CAT and GPx (Lalitha et al., Reference Lalitha, Karthi, Vengateswari, Karthikraja, Perumal and Shivakumar2018). In this study, a significant increase in SOD, CAT, and GPx activities was observed in C. perspectalis larvae, especially with the 200 μL of fungal suspension application. However, this increase is higher in the ID11D strain than in the YP1A strain, which is consistent with the literature in this regard (Li et al., Reference Li, Liu, Lewis and Tarasco2016; Shahriari et al., Reference Shahriari, Zibaee, Dinan, Armand, Tabari and Hoda2023). The increase in SOD and CAT enzyme activities after infection has been associated with excessive responses and programmed cell death in tissues. The oxidative burst that causes the increase has been linked to pathogen-induced host death (Schenk et al., Reference Schenk, Kazan, Wilson, Anderson, Richmond, Somerville and Manners2000). Paes et al. (Reference Paes, Oliveira and Oliveira2001) stated that there are changes in antioxidant enzyme activities with oxidative stress in different systems. The higher activity in individuals infected with the ID11D strain compared to the YP1A strain after infection is associated with more oxidative stress in C. perspectalis larvae after infection. In addition, this difference may indicate the infectivity of the host by the strains (Simoes and Rosa, Reference Simoes and Rosa1996).

As a result, different strains of the same species have different activity against C. perspectalis larvae. It was found that the ID11D strain was more effective in areas where nitrogen fertiliser was applied, and the YP1A strain was more effective in areas where nitrogen fertiliser was not applied. In addition, both strains induce the immune and antioxidant systems of C. perspectalis larvae. Although laboratory studies have shown that the ID11D strain is more effective than YP1A strain against larvae feeding on fertilised boxwood, further field trials are needed to control C. perspectalis larvae. In field trials, both strains can be view as potential candidates for biological control of C. perspectalis larvae on plants with different fertilisation.

Acknowledgements

This study is based on the master thesis on Recep Tayyip Erdoğan University. Furthermore, it was presented as an oral presentation at the 1st International Boxwood Workshop, Recep Tayyip Erdoğan University, Rize, Turkey, 25–27 October 2021, and it was published as a summary abstract in the proceedings book.

References

Abdel-Rahman, HR and Al-Mozini, RN (2007) Antifeedant and toxic activity of some plant extracts against larvae of cotton leafworm Spodoptera littoralis (Lepidoptera: Noctuidae). Pakistan Journal of Biological Sciences 10(24), 44674472.10.3923/pjbs.2007.4467.4472CrossRefGoogle Scholar
Aebi, H (1984) Catalase in vitro. Methods in Enzymology Packer, L. Academic Press. 105, pp. 121126.Google Scholar
Ajmal, MS, Ali, S, Jamal, A, Saeed, MF, Radicetti, E and Civolani, S (2024) Feeding and Growth Response of Fall Armyworm Spodoptera frugiperda (Lepidoptera: Noctuidae) towards Different Host Plants. Insects 15(10), 789 (PMID: 39452365; PMCID: PMC11508452). doi:10.3390/insects15100789CrossRefGoogle ScholarPubMed
Ak, K, Sarı, Ö, Altaş, K and Yaşar, H (2021) Hatay ili şimşir alanlarında yeni bir zararlı, Cydalima perspectalis (Walker, 1859) (Lepidoptera: Crambidae). in Turkish, with English abstract Artvin Çoruh Üniversitesi Orman Fakültesi Dergisi 22,109116. doi:10.17474/artvinofd.893012CrossRefGoogle Scholar
Alkan Akıncı, H and Kurdoğlu, O (2019) Damage Level of Cydalima perspectalis (Lepidoptera: Crambidae) on naturally growing and ornamental box populations in Artvin, Turkey. Kastamonu University Journal of Forestry Faculty 19(2), 144151.10.17475/kastorman.626286CrossRefGoogle Scholar
Alpay Karaoglu, S and Ülker, S (2006) Isolation, identification and seasonal distribution of soilborne fungi in tea growing areas of Iyidere-Ikizdere vicinity (Rize-Turkey). Journal of Basic Microbiology 46, 208218.10.1002/jobm.200510030CrossRefGoogle Scholar
Atwa, AA (2018) Biological control potential of two steinernematid species against the date fruit stalk borer (Oryctes elegans Prell, Coleoptera: Scarabaeidae). Journal of Insect Science 18(3), 26.10.1093/jisesa/iey060CrossRefGoogle Scholar
Bala, Kiran, Sood, AK, Pathania, VS and Thakur, S (2018) Effect of plant nutrition in insect pest management: A review Journal of Pharmacognosy and Phytochemistry 7(4), 27372742.Google Scholar
Bali, GK, Kaur, S and Kour, BG (2013) Phenoloxidase activity in haemolymph of Spodoptera litura (Fabricius) mediating immune responses challenge with entomopathogenic fungus, Beauveria bassiana (Balsamo) Vuillmin. Journal of Entomology and Zoology Studies 1(6), 118123.Google Scholar
Bayramoğlu, Z, Demir, I and Gençer, D (2023) Biological characteristics of a new entomopathogenic fungus detected in Cydalima perspectalis (Walker, 1859) (Lepidoptera: Crambidae). North-Western Journal of Zoology 19(1), 1116.Google Scholar
Beauchamp, C and Fridovich, I (1971) Superoxide dismutase: Improved assays and an assay applicable to acrylamide gels. Analytical Biochemistry 44(1), 276287.10.1016/0003-2697(71)90370-8CrossRefGoogle Scholar
Berini, F, Caccia, S, Franzetti, E, Congiu, T, Marinelli, F, Casartelli, M and Tettamanti, G (2016) Effects of Trichoderma viride chitinases on the peritrophic matrix of Lepidoptera. Pest Management Science 72(5), 980989.10.1002/ps.4078CrossRefGoogle ScholarPubMed
Billen, W (2007) Diaphania perspectalis (Lepidoptera: Pyralidae) – A new moth in Europe. Mitteilungen der Entomologischen Gesellschaft Basel 57(2/4), 135137.Google Scholar
Bozdeveci, A (2014) Toprak kökenli Trichoderma spp. İzolatlarının Moleküler karakterizasyonu ve biyolojik Mücadele etkinliklerinin belirlenmesi. Yüksek Lisans Tezi, Recep Tayyip Erdoğan Üniversitesi, Rize, Türkiye, 132 s.Google Scholar
Bradford, M (1976) A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Analytical Biochemistry 72(1–2), 248254. doi:10.1016/0003-2697(76)90527-3CrossRefGoogle ScholarPubMed
Can, F, Ercan, F and Ulasli, B (2022) First discovery of the natural egg parasitoid of Cydalima perspectalis (Walker, 1859) in Turkey with molecular methods (Lepidoptera: Crambidae. SHILAP Revista de Lepidopterologia 50(200), 607616.10.57065/shilap.253CrossRefGoogle Scholar
Chadburn, H and Barstow, M (2018) Buxus sempervirens. The IUCN Red List of Threatened Species 2018. https://www.iucnredlist.org/species/202944/68067753, (accessed 15 June 2025).Google Scholar
Chen, YZ, Lin, L, Wang, CW, Yeh, CC and Hwang, SY (2004) Response of two Pieris (Lepidoptera: Pieridae) species to fertilization of a host plant. Zoological Studies 43(4), 778786.Google Scholar
Chen, Y, Schmelz, EA, Wäckers, F and Ruberson, JR (2008) Cotton Plant, Gossypium hirsutum L., Defense in Response to Nitrogen Fertilization. J Chem Ecol, 34(12), 15531564. doi:10.1007/s10886-008-9560-xCrossRefGoogle ScholarPubMed
Choo, HY, Kaya, HK, Lee, SM, Kim, TO and Kim, JB (1991) Laboratory evaluation of entomopathogenic nema-todes, Steinernema carpocapsae and Heterorhabditis bac-teriophora against some forest insect pests. Korean Journal of Applied Entomology 30, 227232.Google Scholar
Contreras-Cornejo, HA, Macías-Rodríguez, L, Del-val, E and Larsen, L (2016) Ecological functions of Trichoderma spp. and their secondary metabolites in the rhizosphere: Interactions with plants. FEMS Microbiology Ecology 92(4), fiw036.10.1093/femsec/fiw036CrossRefGoogle ScholarPubMed
Decocq, G, Bordier, D, Wattez, JR and Racinet, P (2004) A practical approach to assess the native status of a rare plant species: The controverse of Buxus sempervirens L. in northern France revisited. Plant Ecology 173, 139151.10.1023/B:VEGE.0000026337.85794.fbCrossRefGoogle Scholar
Dong, L, Yao, X, Deng, Y, Zhang, H, Zeng, W, Li, X, Tang, J and Wang, W (2022) Nitrogen deficiency in soil mediates multifunctionality responses to global climatic drivers. Science of the Total Environment 838(4), 156533.10.1016/j.scitotenv.2022.156533CrossRefGoogle ScholarPubMed
Drotar, A, Phelps, P and Fall, R (1985) Evidence for glutathione per-oxidase activities in cultured plant cells. Plant Science 42, 3540.10.1016/0168-9452(85)90025-1CrossRefGoogle Scholar
Emilie, D, Mallent, M, Menut, C, Chandre, F and Martin, T (2015) Behavioral Response of Bemisia tabaci (Hemiptera: Aleyrodidae) to 20 Plant Extracts. Journal of Economic Entomology 108(4), 18901901.10.1093/jee/tov118CrossRefGoogle ScholarPubMed
Firidin, Beran and Mutlu, Cengiz (2009) Nitrogen Utilization Pattern and Degradation Capability of Some Plant Secondary Metabolites by Agelastica alni L. (Coleoptera: Chrysomelidae). Journal of the Entomological Research Society 11(2), 115.Google Scholar
González‐Santoyo, I and Córdoba‐Aguilar, A (2012) Phenoloxidase: A key component of the insect immune system. Entomologia Experimentalis Et Applicata 142(1), 116.10.1111/j.1570-7458.2011.01187.xCrossRefGoogle Scholar
Graf, T, Scheibler, F, Niklaus, PA and Grabenweger, G (2023) From lab to field: Biological control of the Japanese beetle with entomopathogenic fungi. Frontiers in Insect Science 3, 1138427.10.3389/finsc.2023.1138427CrossRefGoogle Scholar
Hızal, E, Köse, M, Yeşil, C and Kaynar, D (2012) The new pest Cydalima perspectalis (Walker, 1859)(Lepidoptera: Crambidae) in Turkey. Journal of Animal and Veterinary Advances 11(3), 400403.Google Scholar
Honěk, A (1993) Intraspecific variation in body size and fecundity in insects: A general relationship. Oikos 66(3), 483492.10.2307/3544943CrossRefGoogle Scholar
Hwang, BC and Lauenroth, WK (2008) Effect of nitrogen, water and neighbor density on the growth of Hesperis matronalis and two native perennials. Biological Invasions 10, 771779.10.1007/s10530-007-9171-4CrossRefGoogle Scholar
Jiang, W, Yifan, P, Jiayi, Y, Yiyi, W, Gexin, L and Iaqin, X (2020) Effects of the entomopathogenic fungus Metarhizium anisopliae on the mortality and immune response of Locusta migratoria. Insects 11(1), 36. doi:10.3390/insects11010036CrossRefGoogle Scholar
Käppeli, F (2008) Der Buchsbaumzunsler – Im Eiltempo durch Basler Garten. g’plus – Die. Gärtner-Fachzeitschrift (Zürich). 20, 33.Google Scholar
Kasap, Y (2018) Rize’de Domates Fideleri Ve Topraklarından Fusarium Ile Trichoderma Spp. Suşlarının Izolasyonu Ve Biyokontrol Aktivitelerinin belirlenmesi/The Isolation of Fusarium and Trichoderma Spp. Strains from Tomato Seedlings and Soils and Determination of Biocontrol Activities. Yüksek Lisans Tezi, Recep Tayyip Erdoğan Üniversitesi: Rize, Türkiye, 146s.Google Scholar
Khattabi, N, Ezzahiri, B, Louali, L and Oihabi, A (2004) Effect of nitrogen fertilizers and Trichoderma harzianum on Sclerotium rolfsii. Agronomie 24(5), 281288.10.1051/agro:2004026CrossRefGoogle Scholar
Krüger, EO (2008) Glyphodes perspectalis (Walker, 1859)-new for the European fauna (Lepidoptera: Crambidae). Entomologische Zeitschrift Mit Insekten-Börse 118(2), 8183.Google Scholar
Lalitha, K, Karthi, S, Vengateswari, G, Karthikraja, R, Perumal, P and Shivakumar, MS (2018) Effect of entomopathogenic nematode of Heterorhabditis indica infection on immune and antioxidant system in lepidopteran pest Spodoptera litura. Lepidoptera: Noctuidae Journal of Parasitic Diseases 42,204211. doi:10.1007/s12639-018-0983-1CrossRefGoogle ScholarPubMed
Las Heras, S and Arimany, M (2020) Desenvolupament de Mètode S PerMonitoritzar I Controlar Cydalima Perspectalis (Lepidoptera: Crambidae) Plagadels Espais Verds de Catalunya: Barcelona, Spain.Google Scholar
Las Heras, S, Arimany, M, Artola, J and Bassols, E (2019) Desarrollo de métodos para una gestión integrada de la polilla del boj (Cydalima perspectalis) (Lepidoptera: Crambidae) en parques, jardines y espacios verdes. Phytoma 308, 5662.Google Scholar
Lee, KP, Simpson, SJ and Wilson, K (2008) Dietary protein-quality influences melanization and immune function in an insect. Functional Ecology 22, 10521061.10.1111/j.1365-2435.2008.01459.xCrossRefGoogle Scholar
Lehtijarvi, A, Lehtijarvi, HT and Oskay, F (2017) Boxwood blight in Turkey: Impact on natural boxwood populations and management challenges. Baltic Forestry 23, 274278.Google Scholar
Li, X, Liu, Q, Lewis, EE and Tarasco, E (2016) Activity changes of antioxidant and detoxifying enzymes in Tenebrio molitor (Coleoptera: Tenebrionidae) larvae infected by the entomopathogenic nematode Heterorhabditis beicherriana (Rhabditida: Heterorhabditidae). Parasitology Research 115, 44854494.10.1007/s00436-016-5235-7CrossRefGoogle ScholarPubMed
McEwan, RW, Rieske, LK and Arthur, MA (2009) Potential interactions between invasive woody shrubs and the gypsy moth (Lymantria dispar), an invasive insect herbivore. Biological Invasions 11, 10531058.10.1007/s10530-008-9316-0CrossRefGoogle Scholar
Mehrkhou, F, Mahmoodi, L and Mousavi, M (2013) Nutritional indices parameters of large white butterfly Pieris brassicae (Lepidoptera: Pieridae) on different cabbage crops. African Journal of Agricultural Research 8(25), 32943298.Google Scholar
Meşe, Y, Tunçsoy, B and Özalp, P (2022) Effects of Cu, Zn and their mixtures on bioaccumulation and antioxidant enzyme activities in Galleria mellonella L.(Lepidoptera: Pyralidae). Ecotoxicology 31(4), 649656.10.1007/s10646-022-02531-9CrossRefGoogle Scholar
Monte, E (2023) The sophisticated evolution of Trichoderma to control insect pests. Proceedings of the National Academy of Sciences 120(12), e2301971120.10.1073/pnas.2301971120CrossRefGoogle ScholarPubMed
Nandhini, D, Deshmukh, SS, Kalleshwaraswamy, CM, Satish, KM and Sannathimmappa, HG (2023) Effect of host plants on the biology and nutritional indices of fall armyworm, Spodoptera frugiperda (JE Smith) (Lepidoptera: Noctuidae). Animal Biology 73(2), 153170.10.1163/15707563-bja10102CrossRefGoogle Scholar
Nathan, SS (2013) Physiological and biochemical effect of neem and other Meliaceae plants secondary metabolites against Lepidopteran insects. Frontiers in Physiology Sec. Invertebrate Physiology 4, 359.Google Scholar
Nathan, SS, Chung, PG and Murugan, K (2005) Effect of biopesticides applied separately or together on nutritional indices of the rice leaffolder Cnaphalocrocis medinalis. Phytoparasitica 33, 187195.10.1007/BF03029978CrossRefGoogle Scholar
Nathan, SS and Kalaivani, K (2005) Efficacy of nucleopolyhedrovirus and azadirachtin on Spodoptera litura Fabricius (Lepidoptera: Noctuidae). Biological Control 34(1), 9398.10.1016/j.biocontrol.2005.03.001CrossRefGoogle Scholar
Ok, K, Ünal, S and Kaya, G (2023) Análisis económico del método de control biotécnico contra la polilla del boj (Cydalima perspectalis) en Turquía. Bosque (Valdivia) 44(1), 5564.10.4067/s0717-92002023000100055CrossRefGoogle Scholar
Öztürk, N, Akbulut, S and Yüksel, B (2016) Düzce için yeni bir zararlı Cydalima perspectalis (Walker, 1859)(Lepidoptera: Crambidae). Düzce Üniversitesi Orman Fakültesi Ormancilik Dergisi 12(1), 112121.Google Scholar
Paes, MC, Oliveira, MB and Oliveira, PL (2001) Hydrogen peroxide detoxification in the midgut of the blood‐sucking insect, Rhodnius prolixus. Archives of Insect Biochemistry and Physiology 48(2), 6371.10.1002/arch.1058CrossRefGoogle ScholarPubMed
Poveda, J (2021) Insect frass in the development of sustainable agriculture. A review. Agronomy for Sustainable Development 41(1), 5.10.1007/s13593-020-00656-xCrossRefGoogle Scholar
Püntener, W. 1981) Manual for Field Trials in Plant Protection Second Edition 2 nd. Agricultural Division, Basle, Switzerland: Ciba-Geigy Limited.Google Scholar
Qu, S and Wang, S (2018) Interaction of entomopathogenic fungi with the host immune system. Developmental & Comparative Immunology 83, 96103.10.1016/j.dci.2018.01.010CrossRefGoogle ScholarPubMed
Rahatkhah, Z, Karimi, J, Ghadamyari, M and Brivio, MF (2015) Immune defenses of Agriotes lineatus larvae against entomopathogenic nematodes. BioControl, 60(5), 641653. doi:10.1007/s10526-015-9678-zCrossRefGoogle Scholar
Rayapuram, C and Baldwin, IT (2006) Using nutritional indices to study LOX3-dependent insect resistance. Plant Cell and Environment 29(8), 15851594.10.1111/j.1365-3040.2006.01534.xCrossRefGoogle ScholarPubMed
Rose, J, Kleespies, RG, Wang, Y, Wennmann, JT and Jehle, JA (2013) On the susceptibility of the box tree moth Cydalima perspectalis to Anagrapha falcifera nucleopolyhedrovirus (AnfaNPV. Journal of Invertebrate Pathology 113(3), 191197.10.1016/j.jip.2013.03.009CrossRefGoogle ScholarPubMed
Sarkhandia, S, Devi, M, Sharma, G, Mahajan, R, Chadha, P, Saini, H Singh and Kaur, S (2023) Larvicidal, growth inhibitory and biochemical effects of soil bacterium, Pseudomonas sp. EN4 against Spodoptera litura (Fab.) (Lepidoptera: Noctuidae). BMC Microbiol 23(1), doi:10.1186/s12866-023-02841-wCrossRefGoogle ScholarPubMed
Sarkhandia, Sunaina, Devi, Meena, Sharma, Geetika, Mahajan, Rohit, Chadha, Pooja, Saini, Harvinder Singh and Kaur, Sanehdeep (2023) Larvicidal, growth inhibitory and biochemical effects of soil bacterium, Pseudomonas sp. EN4 against Spodoptera litura (Fab.) (Lepidoptera: Noctuidae) BMC Microbiology 23(1), 95.10.1186/s12866-023-02841-wCrossRefGoogle ScholarPubMed
Schenk, PM, Kazan, K, Wilson, I, Anderson, JP, Richmond, T, Somerville, SC and Manners, JM (2000) Coordinated plant defense responses in Arabidopsis revealed by microarray analysis. Proceedings of the National Academy of Sciences 97(21), 1165511660.10.1073/pnas.97.21.11655CrossRefGoogle ScholarPubMed
Shahriari, M, Zibaee, A, Dinan, MF, Armand, A, Tabari, M and Hoda, H (2023) Induction of antioxidant and detoxifying systems of Chilo suppressalis Walker after exposure to entomopathogenic fungi. Invertebrate Survival Journal 20(1), 1020.Google Scholar
Shakeri, J and Foster, HA (2007) Proteolytic activity and antibiotic production by Trichoderma harzianum in relation to pathogenicity to insects. Enzyme and Microbial Technology 40(4), 96196810.1016/j.enzmictec.2006.07.041CrossRefGoogle Scholar
Sigg, CR (2009) Auch das noch: Ein neuer Buchs-Schadling schlagt zu. Massive Schaden durch den Buchsbaumzunsler. Der Gartenbau (Solothurn) 4, 24.Google Scholar
Simoes, N and Rosa, JS (1996) Pathogenicity and host specificity of entomopathogenic nematodes. Biocontrol Science and Technology 6(3), 403412.10.1080/09583159631370CrossRefGoogle Scholar
Singh, V and Sood, AK (2017) Plant Nutrition: A tool for the management of hemipteran insect-pests-A review. Agricultural Reviews 38(4), 260270.10.18805/ag.R-1637CrossRefGoogle Scholar
Stockhoff, BA (1992) Diet‐ switching by gypsy moth: effects of diet nitrogen history vs. switching on growth, consumption, and food utilization Entomologia experimentalis et applicata 64(3), 225238.10.1111/j.1570-7458.1992.tb01613.xCrossRefGoogle Scholar
Stoyenoff, JL, Witter, JA and Montgomery, ME (1994) Nutritional indices in the gypsy moth (Lymantria dispar (L.)) under field conditions and host switching situations. Oecologia 97, 158170.10.1007/BF00323145CrossRefGoogle ScholarPubMed
Toper Kaygın, A and Taşdeler, C (2019) Cydalima perspectalis (Walker) (Lepidoptera: Crambidae, Spilomelinae)’in Türkiye’de Coğrafi Yayılışı, Yaşam Döngüsü Ve Zararı. Bartin Orman Fakültesi Dergisi 21(3), 833847.10.24011/barofd.578294CrossRefGoogle Scholar
Van der Linden, CFÇH, Fatouros, NE and Kammenga, JE (2022) The potential of entomopathogenic nematodes to control moth pests of ornamental plantings. Biological Control 165, 104815.10.1016/j.biocontrol.2021.104815CrossRefGoogle Scholar
Verma, M, Brar, SK, Tyagi, RD, Surampalli, RN and Valero, JR (2007) Antagonistic fungi, Trichoderma spp, panoply of biological control. Biochemical Engineering Journal 37(1), 120.10.1016/j.bej.2007.05.012CrossRefGoogle Scholar
Waldbauer, GP (1968) The Consumption and Utilization of Food by Insects Advances in Insect Physiology 5, 229288. doi:10.1016/S0065-2806(08)60230-1CrossRefGoogle Scholar
Wilson, K, Cotter, SC, Reeson, AF and Pell, JK (2001) Melanism and disease resistance in insects. Ecology Letters 4(6), 637649. doi:10.1046/j.1461-0248.2001.00279.xCrossRefGoogle Scholar
Yaman, M (2023) Potential of entomopathogens in biological control of the box-tree moth, Cydalima perspectalis (Lepidoptera: Crambidae): Review paper. Baltic Forestry 29(1), id603. doi:10.46490/BF603CrossRefGoogle Scholar
Yıldız, Y, Yıldırım, İ and Bostancı, C (2018) Bartın İlinin İstilacı Böcek Türleri, III. Türkiye Orman Entomolojisi ve Patolojisi Sempozyumu, s. Artvin; s. 25 10–12.05.2018.Google Scholar
Zamani, S, Farahani, S, Farashiani, M, Salehi, M and Samavat, S (2018) The first record of Beauveria bassiana on box tree moth, Cydalima perspectalis in Iran. Iranian Journal of Forest and Range Protection Research 15(2), 199202.Google Scholar
Zemek, R, Konopická, J and Ul Abdin, Z (2020) Low efficacy of Isaria fumosorosea against box tree moth Cydalima perspectalis: Are host plant phytochemicals involved in herbivore defence against fungal pathogens? Journal of Fungi 6(4), 342.10.3390/jof6040342CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Feeding groups set up with larvae fed on leaves containing different concentrations of nitrogen and treated with different doses of different trichoderma strains

Figure 1

Table 2. Nutritional indices formula (Stoyenoff et al., 1994)

Figure 2

Table 3. Nitrogen amounts in leaves ± standard error

Figure 3

Table 4. Correlation coefficients between nutritional indices and enzyme activities of larvae and nitrogen content of the plant and application dose of the treated strain

Figure 4

Figure 1. AD, ECD, and ECI of C. perpectalis larvae treated with different strains trichoderma (a–c) YP1A strain; (d–f) ID11D strain). Note: *Nutritional indices differ among the groups. For AD: YP1A; F = 14.78, df = 11, p < 0.01; for ID11D, F = 11,375, df = 11, p < 0.01. ECD: YP1A; X2 = 163.84, df = 11, p < 0.01; ID11D: X2 = 165.6, df = 11, p < 0.01. ECI: YP1A; X2 = 164.27, df = 11, p < 0.01; ID11D; X2 = 153.91, df = 11, p < 0.01.

Figure 5

Figure 2. RCR and RGR of C. perpectalis larvae treated with different trichoderma strains (a, b) YP1A strain; (c, d) ID11D strain. Note: Values in both strains differ between groups (RCR: YP1A; X2 = 129.38, df = 11, p < 0.01; ID11D; X2 = 144.08, df = 11, p < 0.01); RGR: YP1A; X2 = 149.30, df = 11, p < 0.01; ID11D; X2 = 169.60, df = 11, p < 0.01).

Figure 6

Figure 3. (a) Pupal mass of larvae treated with IYP1A strain (mean ± standard error). (b) Pupal mass of larvae treated with ID11D strain (mean ± standard error). Note: Different letters indicate differences between groups. *p < 0.01.

Figure 7

Figure 4. (a–d) Enzyme activities of larvae treated with YP1A strain (mean ± standard error). Note: *Phenoloxidase: X2 = 177.32, df = 11, p < 0.01. SOD: X2 = 177.30, df = 11, p < 0.01; CAT: X2 = 177.79, df = 11, p < 0.01.

Figure 8

Figure 5. (a–d) Enzyme activities of larvae treated with ID11D strain (mean ± standard error). Note: *Phenoloxidase: X2 = 177.38, df = 11, p < 0.01. SOD: ID11D; X2 = 177.14, df = 11, p < 0.01. CAT: X2 = 175.35, df = 11, p < 0.01.

Figure 9

Table 5. Sun–Sheppard formula-corrected mortality rates of larvae fed in the experimental groups described in table 1