Bioassay testing of H. armegera larvae
Twelve fungi obtained the results of the hypovirulence test isolates that did not affect the growth of corn plants. They then tested the effectiveness of entomopathogenic fungi using the bioassay
method in vitro with
H.
armigera larvae that have been instar 3, with characteristics of the size of needles and can already eat fruit meat, with a larval length of 8-13 mm. Then, spray every 12 hours and the data is presented in Table 1.
Fungi J5S1U2 has the lowest inhibition of 38% with a mortality score of 11 and J3S2U1 has the highest food inhibition of 63% with a mortality score of 14. The death score is calculated every 12 hours until the larvae die. All fungi tested by bioassay can kill larvae with 100% mortality. J3S2U3 can infect
H.
armigera pests at a time of 24 hours faster than other types of fungi. Fungi J3S1U2, J1S1U1 and J3S2U1 experienced the same behavioral changes 36 hours more quickly than other types. Symptoms of infection are predominantly white in bioassay tests.
Microorganisms in the soil that are good describe abundant food sources coupled with suitable temperatures and other environmental conditions that support the growth of microorganisms in the soil, such as fungi and bacteria
(Cao et al., 2024; Chauhan et al., 2023). The slow growth of fungi depends on how the isolate can absorb the nutrients in the media to the maximum (
Septia and Sukorini, 2024). The component affects the growth and development of fungi, such as dextrose, which acts as the growth and development of fungi. Factors that affect the growth and development of fungi include nutrients such as sugars, polysaccharides, nitrates, ammonia, amino acids, polypeptides and proteins
(Cao et al., 2024). In addition, environmental impurities, including temperature, pH and light, can also affect fungi’s growth, especially in mycelium growth (
Waoo and Agnihotri, 2022;
Singh et al., 2024).
The slow death of
H.
armegera larvae was also affected by the inhibition of feeding activity, which can affect larval development. This was evidenced by the decreased feeding activity of the larvae when given isolating treatment of various entomopathogenic fungi
(Russo et al., 2024a; Sui et al., 2024). Entomopathogenic fungi are reasonable pest control, environmentally friendly and harmless to beneficial organisms (
Costa Mortoni, 2023;
Sari et al., 2023). Consortiums A and B were the best for controlling
H.
armigera. This is because those consortiums are dominated by types of microbes that can control plant pests. The power of conidia of fungi in consortiums A and B has to quickly increase the resulting sporulation to increase its ability as a plant pest controller. It is known that the combinations of entomopathogenic fungi are very effective as endophytes in attacking the main pests of corn crops, especially in attacking survival in the larvae and pupa of corn main pests
(Hassuba et al., 2024; Sui et al., 2024).
H.
armigera pest death depends heavily on several factors such as temperature, media, pH and spore moisture to grow. The process of attacking fungi in pests through contact and mouth, where pests will eat a number of infective units in plants that have been applied with fungi, then in good conditions, spores will germinate and penetrate deeply into the body of the host insect
(Pawar et al., 2024; de
Souza et al., 2022). Then hyphae secrete the enzymes chitinase, lipase and protease that help decompose insect cuticles. Then mycelia develops until it reaches hemolymph, so it becomes thick and pale, slowing down until it finally stops. After that, the insect weakens and eventually dies (
de Souza et al., 2020). Entomopathogenic fungal endophytes may be important bodyguards having a negative effect on polyphagous and sucking insect pests. Entomopathogenic fungi asymptomatically colonize plant tissues and can even promote growth and protect the plant against biotic stresses, pests and diseases, or abiotic ones such as water deficit, nutritional deficiencies, etc
(Hassuba et al., 2024; Nelly et al., 2020). The degree of EF colonization of the different tissues and organs of the plant and fungal persistence over time varies according to the plant species and fungal strain, from local to systemic colonization of the plant tissues, with even vertical transmission detected
(Thakur et al., 2021).
The boxplot in Fig 1 shows that food blockers (%) have the least variability, with most values clustered between 50-60%, indicating a consistent blocking efficiency across samples. In contrast, both Infection Speed (hours) and Changes in behavior (hours) display wider ranges, suggesting greater variability in how quickly infections progress and how behaviors change, with median values around 70 and 65 hours, respectively. This highlights that while food blocking is relatively uniform, the infection and behavioral responses vary significantly among the samples.
The boxplot illustrates the distribution of three key metrics entomopathogen fungi consist of Food blockers (%), Infection Speed (hours) and Changes in Behavior (hours). Food blockers (%) shows a relatively small range with a consistent distribution, suggesting that the effectiveness of food blocking remains stable across the samples, despite a minor outlier
(Monica et al., 2024; Slowik et al., 2024). Infection Speed (hours), on the other hand, displays significant variability, with the interquartile range spanning from approximately 40 to 80 hours, indicating differences in how rapidly infections spread among the samples. Changes in Behavior (hours) also exhibits notable variation, similar to Infection Speed, which suggests that behavioral responses are linked to infection progression but are not uniform across all samples
(Leonard et al., 2023). The wide ranges for both Infection Speed and Changes in Behavior highlight the complexity and variability in the infection process and its influence on behavior, whereas Food blockers (%) remains more predictable and consistent in its effects (
Patel, 2023;
Zhang et al., 2024).
The correlation heatmap reveals several key relationships between the metrics illustrated in Fig 2. Food blockers (%) have a strong positive correlation with Death Score (0.74) and Infection Speed (hours) (0.49), indicating that higher food-blocking effectiveness is associated with increased death scores and faster infection speed. Changes in Behavior (hours) is negatively correlated with Infection Speed (hours) (-0.88), suggesting that as infection speed increases, changes in behavior occur more slowly. Death Score has a positive but moderate correlation with Changes in Behavior (0.30), implying that higher death scores are somewhat linked to more significant changes in behavior over time. Overall, the heatmap shows that infection dynamics and behavioral changes are closely interlinked, with food blocking playing a significant role in both outcomes. Similar patterns of mortality caused by
Beauveria bassiana and
Metarhizium anisopliae were reported (
Qubbaj and Samara, 2022;
Thanuja et al., 2025), indicating a consistent pathogenic potential of these fungi across different insect species.
The correlation heatmap highlights important relationships among key metrics entomopathogen fungi. A strong positive correlation between Food blockers (%) and Death Score (0.74) suggests that as the efficiency of food blocking increases, so does the death rate, indicating a significant impact of food deprivation on mortality
(Kryukov et al., 2020; Zembrzuski et al., 2023). Similarly, Food blockers (%) shows a moderate correlation with Infection Speed (hours) (0.49), implying that food deprivation may accelerate the infection process. However, there is a strong negative correlation between Infection Speed (hours) and Changes in Behavior (hours) (-0.88), meaning that faster infection times result in quicker changes in behavior
(Csata et al., 2024). This inverse relationship suggests a critical link between the speed of infection and behavioral responses, which may help in understanding how infection progression influences host activity
(Kryukov et al., 2020). The overall pattern underscores the importance of food blocking and infection dynamics in shaping both mortality and behavioral changes.
Symptoms of infection due to the attack of fungi on caterpillars
H.
armigera resulted in a change in the color of the caterpillar’s body and the appearance of fungi on some parts of the caterpillar. Over an extended period, the caterpillar will be dry and destroyed due to entomopathogen fungi from the corn soil. Symptoms due to an attack of entomopathogen fungi are presented in the form (Fig 3).
Based on Fig 3, Symptoms that arise in caterpillars due to the attack of fungi begin with lazy caterpillars moving, appetite reduced and hyphae from fungi all over the body. Hyphae will appear on the skin, feet (legs), mouth (thoracic) and abdomen. In addition, the state of the dead caterpillar’s body will harden, wrinkle and dry. The findings are consistent with previous reports
(Thanuja et al., 2025). Such responses suggest that fungal infection triggers host defense mechanisms that can influence mortality outcomes.
Fungi consortium synergy test
The synergy test was carried out by combining various fungi obtained from the soil of the corn rhizosphere. First, synergy testing using fungi from the bioassay tests as many as 12 isolates. Then, the fungi of the 12 isolates are divided into three large parts: Strong, Medium and Weak. The grouping category was taken from the percentage data inhibiting. Finally, the test results are presented in Table 2.
Table 2 indicates a strong consortium of fungi (J5S1U2, J4S1U1, T5U1O and J2S2U5), medium consortia (J2S1U4, J3S1U2, J2SU4 and J3S2U3) and weak consortia (J2S2U1, J1S1U1, J4S2U2 and J3S2U1) can synergize and merge between fungi one and the other fungi are indicated by not forming or slave zones. fungi images are marked with a circle, thus allowing all types of fungi to be combined. The growth that does not exist in the inhibitory zone is usually characterized by the growth of colonies that do not inhibit each other and the absence of clear zones around fungi. This synergy is a compatible interaction in the inhibitory zone characterized by the presence of clear boundary lines, normal growth, not inhibiting each other, no
over-growth and the unification of hyphae (20).
Field test
The analysis of the average intensity of corn cob attacks showed an authentic influence of the fungi consortium on the average
attack of H.
armigera. Further test results with Duncan’s 5% level against the average intensity of caterpillar attacks were presented in Table 3.
Table 3 combination A and Combination B had an effect that was not significantly different from the positive control (Carbofuran) and has a significant impact compared to the negative control and combination C; this was seen from the average percentage of attack intensity and severity. The lowest average attack intensity occurred in the positive control (Carbofuran) 20% Combination A 25% and Microbial Combination B 35%, then on the severity of attacks positive control (carbofuran) 1% and Combination A 1.5% and Combination B 3.5%. The smallest percentage was negative control and Combination C.
Jointly inoculating two different strains of
B.
bassiana (Bov 3 and Bov 2) into D. fovealis caterpillars, insect mortality was considerably higher than when either strain was used separately
(Russo et al., 2024b). Furthermore, cultivating these fungi together increased the production of several important enzymes involved in biological control processes, like chitinase and cellulase
(Karthi et al., 2024b). The present study, therefore, aims to evaluate the metabolic alterations caused by a consortium of the Bov3 and Bov2 strains to ascertain the reasons for increased mortality in D.
fovealis. One of the main defence mechanisms of insects against entomopathogenic fungi like
B.
bassiana is the formation of oxidative molecules such as reactive oxygen and nitrogen species (ROS and NOS). These oxidative molecules can damage important cellular components, including proteins, lipids, carbohydrates and nucleic acids. In this regard, the production of antioxidant molecules by fungi is extremely important to circumvent the host’s immune system and settle the infection
(Melkumyan et al., 2024; Oktariana et al., 2024).
Corn yield
The analysis of variance on the average Length of the corn cobs showed a very significant effect of the fungus consortium on the average Length and fresh weight of the cobs. Duncan’s further test results, with a level of 5% on the average severity of caterpillar attacks, were presented in Table 4.
It shows the longest corncob length was in the negative control treatment of 14.35 cm and was not significantly different from Microbes B, 14.54 cm, Microbes A, 13.88 cm and Microbes C, 13.17 cm. The use of Microbes A, Microbes B and positive control (carbofuran) had the highest wet weight of cobs.