Abstract
Spodoptera frugiperda caused severe damage to the maize plant. Botanical insecticides are a choice to control this pest. This study aims to determine the ethanol extract of Calophyllum soulattri stem bark, methanol extract of Piper aduncum fruit, and Sesamum indicum oil, and their potential mixture for controlling S. frugiperda. The bioassays were carried out in laboratory conditions using second instar S. frugiperda larvae from mass rearing in the laboratory. A toxicity test was performed using the leaf-residual feeding method. The result showed that the mortality of S. frugiperda for C. soulattri is LC50 = 0.349% and LC95 = 3.256% and that for P. aduncum is LC50 = 0.530% and LC95 = 4.666%. S. indicum oil (at 10% concentration) only caused the mortality of S. frugiperda by 27.5%. Insecticide mixture can increase the toxicity of the insecticide. The observation mortality of S. frugiperda for C. soulattri and P. aduncum (1:2) extracts mixture were LC50 = 0.233% and LC95 = 0.808%. At the same time, C. soulattri extract dan S. indicum oil mixture (4:1) were LC50 = 0.268% and LC95 = 0.931%. The treatments with a single insecticide and their mixtures affected the biological activity of S. frugiperda by reducing the area of feed consumption, and the longer the larval development time, the lower the pupal weight of S. frugiperda. Our findings indicated that a mixture of C. soulattri and P. aduncum extract, then C. soulattri extract, and S. indicum oil could potentially develop as effective insecticide for controlling S. frugiperda.
1 Introduction
Spodoptera frugiperda is an invasive pest that attacks maize plants. In several areas in West Java, Indonesia, this pest attacks hybrid and sweet maize [1]. This pest was recorded as having 100 host plants [2]. S. frugiperda has superior characteristics such as surviving in various habitats, migrating well, having high fecundity, and fast resistance to insecticides [3]. The damage caused by S. frugiperda was high. The larvae are very damaging to the early stages of maize growth, and sixth instars larvae can cut the base of the maize seedlings until the plants die [4,5]. Attacks by S. frugiperda can cause yield losses of 8.3–20.6 million per ton [6].
An insecticide is a control technique that is easy to do, efficient, and effective. However, using high intensity and doses of insecticides can lead to the accumulation of insecticides and accelerate resistance in S. frugiperda [7]. Botanical insecticides are known to have various components that can delay pest resistance. The plant sources of botanical insecticides are very diverse. Afrianto et al. [8] showed 130 plant species with insecticidal abilities in Indonesia. Botanical insecticides have advantages over synthetic insecticides, such as broad spectrum in pest management, relatively low risk and nontoxic to natural enemies or nontarget organisms, and readily biodegradable, have varied modes of action, low persistence (leaving no residue on food or in the environment), and can be easily developed and applied. Therefore, botanical insecticides should be included in integrated pest management systems and contribute to sustainable agriculture [9–11].
Botanical insecticide source plants have been extensively researched and developed to control plant pests. Calophyllum soulattri and Piper aduncum are among the plants reported to have insecticidal properties against several pests. Meanwhile, Sesamum indicum was reported to have synergistic properties when mixed with insecticides. Volpe et al. [12] showed that essential oil of P. aduncum at a concentration of 85.4% dillapiole caused 100 and 98.75% mortality of nymphs and adult D. citri. Methanolic extract of C. soulattri stem bark caused the mortality of C. pavonana with an LC50 value of 0.15% [13]. This study tested the toxicity of C. soulattri, P. aduncum, and S. indicum and the potential of their mixtures to develop eco-friendly management strategies for controlling S. frugiperda.
2 Materials and methods
The experiment was carried out at the Pesticide and Environment Toxicology Laboratory, Department of Plant Pest and Diseases, Faculty of Agriculture, Universitas Padjadjaran, Jatinangor, West Java, Indonesia. The experiment was conducted at 27–32°C and humidity of 62–75%.
2.1 Test insect and botanical insecticide
2.1.1 Rearing of S. frugiperda
The insect test was S. frugiperda, already reared in the Laboratory of Pesticide and Environment Toxicology. The colony larvae were fed baby corn (pesticide-free), and the adults were fed 10% honey solution in cotton swabs.
2.1.2 Planting of maize plant
The leaves maize plant (Zea mays, a variety of Talenta) was used as the feed of S. frugiperda larvae in the test. Maize plant planting was done on a mixture of soil with manure (2:1). Maintenance of the plant included watering, weeding, and mechanical pest exclusion.
2.1.3 Insecticidal ingredients and extraction
C. soulattri stem bark was obtained from Teluk Melano District, Ketapang Regency, West Kalimantan Province, Indonesia. C. soulattri Stem bark extraction using ethanol solvent refers to the research by Syahputra [13]. The dried bark is mashed and soaked in ethanol (70% purity) at 1:10 ratio. Then, it was filtered using Whatman filter paper no.41. The solvent was evaporated by rotary evaporation. The resulting extract is stored in a bottle in the refrigerator (temperature 4℃) until use.
P. aduncum fruit was obtained from Masigit mountain, Padalarang Regency, West Java Province, Indonesia. Extraction of the fruit of P. aduncum was done using a methanol solvent. The fruit of P. aduncum was cut into small pieces and then dried at room temperature for 10 days (water content ±4.4%). After the P. aduncum fruit was dried, it was mashed with a blender, then immersed in methanol solvent (70% purity) with a ratio of 1:10 for 3 × 24 h, and macerated three times. Then it was filtered using Whatman filter paper no. 41. The filtered results were evaporated using a rotary evaporator at a temperature of 55–60°C and at a pressure of 300–500 mm Hg.
S. indicum was obtained from the market. S. indicum seeds are pressed to obtain oil using a seed press machine (MKS-J05). The oil is put in bottles and stored at room temperature.
2.2 Experiment bioassays
2.2.1 Single botanical insecticides test
The toxicity test of C. soulattri extract, P. aduncum extract, and S. indicum oil in the five-series concentration was based on a preliminary test and control. The solution concentration was dissolved in the methanol + acetone (1:4) (pro analysis). Control was prepared using methanol + acetone (1:4) (pro analysis). Bioassay was conducted by using a feeding method. Leaves cut with a length of 4 cm × 4 cm were given insecticides with a micro syringe (100 µl/leaf surface). Then, the leaf was air dried on the paper. Two pieces of treated leaves were put into a Petri dish line with filter paper. Then, 10 second instar of S. frugiperda larvae were put into a Petri dish using a fine brush.
The feeding treatment period was 48 h. Furthermore, larvae were fed with baby corn without treatment until they reached pupae, and each live larva was placed in a plastic container (50 ml). The observation was made by counting the number of dead larvae, larva development, the area of feed consumed, and the weight of pupae.
Observation:
The observation of mortality of S. frugiperda larvae was carried out from the day after treatment until 16 days after treatment. The mortality of larvae was calculated in the percentage of death by following equation (1).
The observation of larvae development time was started from 1 day after treatment until instar VI larvae at 24 h observation interval. The observation was made by recording the time for the larvae to instar III, IV, V, and VI.
Feed consumption was observed by measuring the leaf area eaten by larvae using a transparent millimeter block. Next, the leaf area was calculated as the percentage by equation (2).
Observation of pupae weight was weighed using an analytic scale. The study arranges a randomized block design with four replications. Mortality test insects were analyzed probit with Polo Plus program 1.1. Feed consumption was analyzed by using analysis of variance. If the results were significant, then data were analyzed with the Duncan test using the SPSS 26 program. Then, data from larvae development time and pupae weight were analyzed descriptively.
2.2.2 Mixture of botanical insecticide test
The mixture of botanical insecticides test uses the method described in a single botanical insecticides test. The insecticide mixture used included a mixture of C. soulattri extract and P. aduncum extract at a ratio of 1:2, as well as a mixture of C. soulattri extract and S. indicum oil at a ratio of 4:1. The insecticide mixture activity analyzes based on different joint action models by calculating the combination index (CI) at the LC50 and LC95 levels [14] in equation (3).
The categories of mixed activity properties are as follows:
CI < 0.5: strong synergies
CI 0.5–0.77: weak synergies
CI > 0.77–1.43: additive
CI > 1.43: antagonistic
Furthermore, the co-toxicity ratio of mixed insecticides with synergistic ingredients is calculated based on equation (4) [15]:
The categories of mixed activity properties are as follows:
CI < 1: antagonistic
CI > 1: synergies
CI = 1: no effect
3 Result
3.1 Effect of C. soulattri, P. aduncum, and S. indicum on mortality
Treatment with C. soulattri ethanol extract, P. aduncum methanol extract, and S. indicum oil to second instar S. frugiperda larvae showed various mortality responses according to the treatment. The mortality value of S. frugiperda larvae increased sharply on the second day after treatment (DAT). There was no significant increase in mortality the following day (Figures 1–3). The mortality trend of S. frugiperda shown in Figures 1 and 2 shows that the C. soulattri ethanol extract, P. aduncum methanol extract used, had a fast-acting method in killing the test insects. The results of the S. indicum oil test in Figure 3 shows that at a test concentration of 10%, the mortality of S. frugiperda only reached 27.5%. So no further tests were carried out to obtain the LC value. The test also confirms that S. indicum is a synergistic substance not toxic when applied alone.

Mortality of S. frugiperda after treatment with C. soulattri.

Mortality of S. frugiperda after treatment with P. aduncum.

Mortality of S. frugiperda after treatment with S. indicum.
The results of the probit analysis showed that the LC value decreased the more prolonged observation time. A decrease in the LC value of an insecticide indicates an increase in the toxicity value of the insecticide. The LC50 and LC95 values at the last observation (16 DAT) for the C. soulattri and P. aduncum tests were as follows: 0.349 and 3.256% (Table 1) and 0.530 and 4.666% (Table 2), respectively. If we look at the LC50 and LC95 values, the concentration values of the C. soulattri ethanol extract and P. aduncum methanol extract are high enough. However, the LC50 value is less than 0.6%. The LC value shows that insecticides are still less toxic to S. frugiperda.
Probit analysis of the correlation of the concentration of C. soulattri insecticide and mortality of S. frugiperda
| Day after treatment | a ± SE | b ± SE | LC50 | CI95 | LC95 | CI95 |
|---|---|---|---|---|---|---|
| 2 HSP | 0.755 ± 0.143 | 1.880 ± 0.219 | 0.349 | 0.262–0.466 | 3.973 | 1.895–5.845 |
| 4 HSP | 0.775 ± 0.141 | 1.696 ± 0.204 | 0.349 | 1.980–6.965 | 3.256 | 1.980–6.965 |
| 8 HSP | 0.775 ± 0.141 | 1.696 ± 0.204 | 0.349 | 1.980–6.965 | 3.256 | 1.980–6.965 |
| 16 HSP | 0.775 ± 0.141 | 1.696 ± 0.204 | 0.349 | 1.980–6.965 | 3.256 | 1.980–6.965 |
a – intercept; b – slope; SE – standard error; LC – lethal concentration (%); CI – confidence interval.
Probit analysis of the correlation of the concentration of P. aduncum insecticide and mortality of S. frugiperda
| Waktu pengamatan | a ± SE | b ± SE | LC50 | CI95 | LC95 | CI95 |
|---|---|---|---|---|---|---|
| 2 HSP | 0.310 ± 0.114 | 1.838 ± 0.219 | 0.679 | 0.521–0.889 | 5.325 | 3.346–10.805 |
| 4 HSP | 0.386 ± 0.116 | 1.826 ± 0.217 | 0.615 | 0.471–0.805 | 4.895 | 3.087–9.864 |
| 8 HSP | 0.480 ± 0.117 | 1.741 ± 0.212 | 0.530 | 0.400–0.698 | 4.666 | 2.894–9.730 |
| 16 HSP | 0.480 ± 0.117 | 1.741 ± 0.212 | 0.530 | 0.400–0.698 | 4.666 | 2.894–9.730 |
a – intercept; b – slope; SE – standard error; LC – lethal concentration (%); CI – confidence interval.
The results of mixed insecticide tests showed that mixing C. soulattri ethanol extract with P. aduncum methanol extract and C. soulattri ethanol extract with S. indicum oil increased the toxicity of the insecticides. The increase in toxicity occurs if the comparison between the ingredients is in the right amount. The test results showed that at a concentration of 1%, the mixed insecticides could cause up to 100% mortality (Figure 4). After further testing, the mortality of the test insects is shown in Figures 5 and 6. The mortality trend showed that insecticide toxicity occurred at the beginning of the observation (2–4 days after treatment), and there was no increase in the mortality of the test insects on the next day. The LC50 and LC95 values of the mixed insecticides (Tables 3 and 4) were lower than the single insecticides (Tables 1 and 2). This experiment shows that mixing can increase the toxicity of insecticides more toxic than a single application.

Mortality of S. frugiperda larvae at 5 days after treatment with a mixture of botanical insecticides. PACS – P. aduncum and C. soulattri; CSSI – C. soulattri and S. indicum; PASI – P. aduncum and S. indicum; PA – P. aduncum; SI – S. indicum; CA – C. soulattri.

Mortality of S. frugiperda after treatment with mixture C. soulattri and P. aduncum (1:2). CSPA – C. soulattri + P. aduncum (1:2).

Mortality of S. frugiperda after treatment with mixture C. soulattri and S. aduncum (4:1). CSSI – C. soulattri + S. indicum (4:1).
Probit analysis of the correlation of the concentration of C. soulattri and S. indicum mixture insecticide and mortality of S. frugiperda
| Day after treatment | a ± SE | b ± SE | LC50 | CI50 | LC95 | CI95 |
|---|---|---|---|---|---|---|
| 2 HSP | 2.004 ± 0.252 | 3.289 ± 0.386 | 0.246 | 0.210–0.286 | 0.778 | 0.607–1.127 |
| 4 HSP | 1.976 ± 0.249 | 3.169 ± 0.375 | 0.238 | 0.202–0.278 | 0.786 | 0.570–1.368 |
| 8 HSP | 0.1.927 ± 0.245 | 3.049 ± 0.365 | 0.233 | 0.197–0.274 | 0.808 | 0.620–1.209 |
| 16 HSP | 0.1.927 ± 0.245 | 3.049 ± 0.365 | 0.233 | 0.197–0.274 | 0.808 | 0.620–1.209 |
a – intercept; b – slope; SE – standard error; LC – lethal concentration (%); CI – confidence interval.
Probit analysis the of correlation of the concentration of C. soulattri and P. aduncum mixture insecticide and mortality of S. frugiperda
| Day after treatment | a ± SE | b ± SE | LC50 | CI50 | LC95 | CI95 |
|---|---|---|---|---|---|---|
| 2 HSP | 1.740 ± 0.223 | 3.042 ± 0.366 | 0.268 | 0.226–0.315 | 0.931 | 0.715–1.388 |
| 4 HSP | 1.740 ± 0.223 | 3.042 ± 0.366 | 0.268 | 0.226–0.315 | 0.931 | 0.715–1.388 |
| 8 HSP | 1.740 ± 0.223 | 3.042 ± 0.366 | 0.268 | 0.226–0.315 | 0.931 | 0.715–1.388 |
| 16 HSP | 1.740 ± 0.223 | 3.042 ± 0.366 | 0.268 | 0.226–0.315 | 0.931 | 0.715–1.388 |
a – intercept; b – slope; SE – standard error; LC – lethal concentration (%); CI – confidence interval.
The joint action of the first mixture (C. soulattri and P. aduncum extract) was determined based on the independent joint action model, where both ingredients have an insecticidal effect. The second mixture has a synergistic joint action (C. soulattri extract and S. indicum oil). The ingredients can increase toxicity in the mixed state, and if in a single application, they are not toxic. The results of the interaction of mixed insecticides can be in the form of synergism (the mixed effect is more excellent than expected) and antagonism (the mixtures interfere with each other’s effects) [16]. Analysis of the CI or activity of the mixture also showed that the C. soulattri extract with S. indicum oil (4:1) and C. soulattri with P. aduncum extract (1:2) mixture were synergistic at LC95 value. Joint action at LC50 value shows that the mixture of C. soulattri and P. aduncum extract was antagonistic (Table 5). However, compared to the LC value, the LC50 value of mixed insecticides is lower or more toxic. Comparison of the ratio between insecticides can modify to increase the toxicity of insecticides.
Combination index of insecticides mixture
| Treatment | Combination index | Combination index | ||||||
|---|---|---|---|---|---|---|---|---|
| 2 HSP | 16 HSP | 2 HSP | 16 HSP | |||||
| LC50 | LC95 | LC50 | LC95 | LC50 | LC95 | LC50 | LC95 | |
| CSPA | 1.466 | 0.450 | 1.662 | 0.543 | Antagonistic | Strong synergistic | Antagonistic | Weak synergistic |
| CSSI | 1.419 | 5.107 | 1.498 | 4.030 | Synergistic | Synergistic | Synergistic | Synergistic |
CSPA – C. soulattri + P. aduncum (1:2); CSSI – C. soulattri + S. indicum (4:1); LC – lethal concentration (%).
3.2 Effect of C. soulattri, P. aduncum, and S. indicum on development time
Treatment using C. soulattri ethanol extract, P. aduncum methanol extract, and S. indicum oil can inhibit the long development of S. frugiperda if compared to controls. Treatment of C. soulattri with a concentration of 2.5% could inhibit larval development by extending the larval development time by 0.7 days (instars II–VI) (Table 6). The treatment of P. aduncum and S. indicum extended the development time (II–VI instars) by 1.12 and 0.04 days, respectively (Tables 7 and 8). The mixed insecticide treatment also showed that the insecticide could prolong the development time of the S. frugiperda larvae. The highest concentration of C. soulattri extract and S. indicum oil (4:1) mixture could prolong the larval development time from instars II-VI by 1.05 days, while the C. soulattri and P. aduncum (1:2) extract mixture could prolong development time by 2.77 days (Tables 9 and 10).
Length of development time of S. frugiperda larvae after treatment with C. soulattri
| Treatment | Length of larval development at test concentration (X ± SE) (days) | |||||||
|---|---|---|---|---|---|---|---|---|
| N | Instar II–II | N | Instar II–IV | N | Instar II–V | N | Instar II–VI | |
| CS (2.5%) | 2 | 3.50 ± 0.354 | 2 | 5.50 ± 0.354 | 2 | 9.50 ± 0.354 | 2 | 12.50 ± 0.354 |
| CS (0.94%) | 11 | 3.18 ± 0.116 | 11 | 5.91 ± 0.239 | 11 | 10.00 ± 0.223 | 11 | 12.36 ± 0.145 |
| CS (0.35%) | 22 | 3.05 ± 0.044 | 20 | 5.60 ± 0.130 | 20 | 9.35 ± 0.146 | 20 | 12.45 ± 0.111 |
| CS (0.13%) | 34 | 3.44 ± 0.085 | 30 | 5.63 ± 0.120 | 30 | 9.33 ± 0.109 | 30 | 12.37 ± 0.100 |
| CS (0.05%) | 39 | 3.18 ± 0.102 | 37 | 5.54 ± 0.082 | 37 | 9.14 ± 0.116 | 37 | 12.41 ± 0.081 |
| Control | 40 | 2.45 ± 0.100 | 40 | 5.48 ± 0.079 | 40 | 8.75 ± 0.116 | 40 | 11.88 ± 0.052 |
CS – C. soulatrd, X – average of the length development time (day), SE – Standard Error, N – number of larvae.
Length of development time of S. frugiperda larvae after treatment with P. aduncum
| Treatment | Length of larval development at test concentration (X ± SE) (days) | |||||||
|---|---|---|---|---|---|---|---|---|
| N | Instar II–II | N | Instar II–IV | N | Instar II–V | N | Instar II–VI | |
| PA (3.9%) | 4 | 4.75 ± 0.216 | 2 | 6.50 ± 0.354 | 2 | 9.50 ± 0.000 | 2 | 11.50 ± 0.000 |
| PA (1.56%) | 11 | 4.09 ± 0.087 | 7 | 6.43 ± 0.187 | 7 | 9.43 ± 0.114 | 7 | 11.43 ± 0.126 |
| PA (0.625%) | 22 | 3.50 ± 0.107 | 21 | 6.10 ± 0.177 | 21 | 8.90 ± 0.091 | 21 | 11.43 ± 0.105 |
| PA (0.25%) | 34 | 3.44 ± 0.085 | 30 | 5.90 ± 0.136 | 30 | 8.57 ± 0.075 | 30 | 11.60 ± 0.083 |
| PA (0.1%) | 36 | 3.33 ± 0.079 | 36 | 5.86 ± 0.119 | 36 | 8.47 ± 0.078 | 36 | 11.53 ± 0.075 |
| Control | 40 | 2.63 ± 0.121 | 40 | 5.30 ± 0.072 | 40 | 8.38 ± 0.116 | 40 | 10.38 ± 0.052 |
PA – P. aduncum; X – average of the length development time (day), SE – standard error, N – number of larvae.
Length of development time of S. frugiperda larvae after treatment with S. indicum
| Treatment | Length of larval development at test concentration (X ± SE) (days) | |||||||
|---|---|---|---|---|---|---|---|---|
| N | Instar II–II | N | Instar II–IV | N | Instar II–V | N | Instar II–VI | |
| SI (10%) | 30 | 3.67 ± 0.088 | 29 | 6.30 ± 0.143 | 29 | 9.66 ± 0.112 | 29 | 11.34 ± 0.088 |
| SI (7.07%) | 31 | 3.26 ± 0.079 | 30 | 6.32 ± 0.140 | 30 | 9.60 ± 0.101 | 30 | 11.43 ± 0.090 |
| SI (4.10%) | 33 | 3.42 ± 0.086 | 33 | 6.15 ± 0.136 | 33 | 9.30 ± 0.091 | 33 | 11.31 ± 0.082 |
| SI (3.54%) | 34 | 3.32 ± 0.080 | 34 | 6.18 ± 0.147 | 34 | 9.24 ± 0.073 | 34 | 11.18 ± 0.065 |
| SI (2.5%) | 35 | 3.31 ± 0.078 | 35 | 6.09 ± 0.130 | 35 | 9.29 ± 0.076 | 35 | 11.50 ± 0.083 |
| Control | 40 | 2.33 ± 0.089 | 40 | 5.45 ± 0.079 | 40 | 8.73 ± 0.117 | 40 | 11.30 ± 0.072 |
SI – S. indicum, X – average of the length development time (days), SE – Standard Error, N – number of larvae.
Length of development time of S. frugiperda larvae after treatment with C. soulattri and S. indicum mixture (4:1)
| Treatment | Length of larval development at test concentration (X ± SE) (days) | |||||||
|---|---|---|---|---|---|---|---|---|
| N | Instar II–III | N | Instar II–IV | N | Instar II–V | N | Instar II–VI | |
| CSSI 0.09% | 36 | 3.61 ± 0.098 | 36 | 5.81 ± 0.151 | 36 | 8.83 ± 0.062 | 36 | 10.83 ± 0.062 |
| CSSI 0.16% | 27 | 3.70 ± 0.088 | 27 | 5.96 ± 0.161 | 27 | 8.70 ± 0.088 | 27 | 10.70 ± 0.088 |
| CSSI 0.285% | 11 | 3.18 ± 0.116 | 11 | 5.64 ± 0.194 | 11 | 9.00 ± 0.182 | 11 | 10.91 ± 0.155 |
| CSSI 0.506% | 7 | 3.57 ± 0.187 | 7 | 6.00 ± 0.286 | 7 | 9.00 ± 0.202 | 7 | 10.71 ± 0.265 |
| CSSI 0.90% | 1 | 4.00 ± 0.078 | 1 | 6.00 ± 0.000 | 1 | 10.00 ± 0.00 | 1 | 11.00 ± 0.000 |
| Control | 40 | 2.25 ± 0.068 | 40 | 4.78 ± 0.066 | 40 | 8.08 ± 0.108 | 40 | 10.05 ± 0.034 |
CSSI – C. soulattri + S. indicum (4:1), X – average of the length development time (day), SE – standard error, N – number of larvae.
Length of development time of S. frugiperda larvae after treatment with C. soulattri and P. aduncum mixture (1:2)
| Treatment | Length of larval development at test concentration (X ± SE) (days) | |||||||
|---|---|---|---|---|---|---|---|---|
| N | Instar II–III | N | Instar II–IV | N | Instar II–V | N | Instar II–VI | |
| CSPA 0.11% | 35 | 2.46 ± 0.084 | 34 | 5.32 ± 0.090 | 34 | 8.41 ± 0.119 | 34 | 11.00 ± 0.000 |
| CSPA 0.195% | 27 | 3.00 ± 0.000 | 27 | 6.15 ± 0.068 | 27 | 9.30 ± 0.088 | 27 | 11.19 ± 0.075 |
| CSPA 0.348% | 14 | 3.00 ± 0.000 | 14 | 6.93 ± 0.213 | 14 | 9.57 ± 0.132 | 14 | 11.57 ± 0.132 |
| CSPA 0.618% | 6 | 3.00 ± 0.000 | 6 | 7.50 ± 0.312 | 6 | 9.67 ± 0.192 | 6 | 11.50 ± 0.204 |
| CSPA 1.10% | 1 | 3.00 ± 0.000 | 1 | 7.00 ± 0.000 | 1 | 10.00 ± 0.000 | 1 | 12.00 ± 0.000 |
| Control | 40 | 2.20 ± 0.089 | 40 | 5.43 ± 0.078 | 40 | 8.43 ± 0.078 | 40 | 9.23 ± 0.090 |
CSPA – C. soulattri + P. aduncum (1:2), X – average of the length development time (day), SE – standard error, N – number of larvae.
3.3 Effect of C. soulattri, P. aduncum, and S. indicum on feed consumed
In addition, C. soulattri ethanol extract, P. aduncum methanol extract, and S. indicum oil and their mixture suppressed larvae consumption, which was lower than the control. The statistical analysis also showed that the treatments differed significantly from the control (Tables 11 and 12). The test results showed that the single and mixed insecticides tested could reduce feed consumption to reduce crop damage due to attacks by S. frugiperda larvae.
Leaf area consumed by S. frugiperda larvae after treatment with C. soulattri, P. aduncum, and S. indicum
| Treatment | The leaf area consumed (X ± SE) (%) | Treatment | The leaf area consumed (X ± SE) (%) | Treatment | The leaf area consumed (X ± SE) (%) |
|---|---|---|---|---|---|
| CS (2.5%) | 0.703 ± 0.1213a | PA (3.9%) | 0.95 ± 0.14a | SI (10%) | 6.51 ± 0.0511a |
| CS 0.94%) | 0.898 ± 0.1202a | PA (1.56%) | 1.98 ± 0.11b | SI (7.07%) | 7.65 ± 0.2523b |
| CS (0.35%) | 2.555 ± 0.2177b | PA (0.625%) | 9.27 ± 0.26c | SI (4.10%) | 9.52 ± 0.2886c |
| CS (0.13%) | 2.922 ± 0.1408b | PA (0.25%) | 12.23 ± 0.15d | SI (3.54%) | 13.18 ± 0.1840d |
| CS (0.05%) | 5.156 ± 0.1154c | PA (0.1%) | 13.48 ± 0.26e | SI (2.5%) | 16.30 ± 0.2432e |
| Control | 9.813 ± 0.3164d | Control | 17.62 ± 0.16f | Control | 17.35 ± 0.3004f |
The average number followed by the same letter in the same column is not significantly different according to the Duncan test at 5% level; X – average of the leaf area consumed (%); SE – standard error; CS – C. soulattri; PA – P. aduncum; SI – S. indicum.
Leaf area consumed by S. frugiperda larvae after treatment with C. soulattri, P. aduncum, and S. indicum mixture
| Treatment | The leaf area consumed (X ± SE) (%) | Treatment | The leaf area consumed (X ± SE) (%) |
|---|---|---|---|
| CSSI 0.09% | 6.328 ± 0.505161c | CSPA 0.11% | 14.188 ± 1.123317b |
| CSSI 0.16% | 2.602 ± 0.489062b | CSPA 0.195% | 10.008 ± 0.931254ab |
| CSSI 0.285% | 1.672 ± 0.508413ab | CSPA 0.348% | 6.305 ± 0.962072ab |
| CSSI 0.506% | 0.984 ± 0.218331ab | CSPA 0.618% | 1.508 ± 0.193704a |
| CSSI 0.90% | 0.547 ± 0.132813a | CSPA 1.10% | 0.414 ± 0.043322a |
| Control | 12.813 ± 0.508998d | Control | 38.891 ± 1.066742c |
The average number followed by the same letter in the same column is not significantly different according to the Duncan test at 5% level; CSSI – C. soulattri + S. indicum (4:1); CSPA – C. soulattri + P. aduncum (1:2); X – average of the leaf area consumed (%); SE – standard error.
3.4 Effect of C. soulattri, P. aduncum, and S. indicum on pupae weight
Insecticide application made the pupal weight of S. frugiperda lower than the control. The treatment disrupts the physiological processes of pests until it affects the weight of the pupae. However, the S. indicum treatment did not reduce the pupal weight more than the control. Observations on the pupal weight are presented in Tables 13 and 14.
Average weight of S. frugiperda pupae after treatment with C. soulattri, P. aduncum, and S. indicum
| Treatment | The weight of the pupae (X ± SE) (%) | N | Treatment | The weight of the pupae (X ± SE) (%) | N | Treatment | The weight of the pupae (X ± SE) (%) | N |
|---|---|---|---|---|---|---|---|---|
| CS (2.5%) | 0.2108 ± 0.01471 | 2 | PA (3.9%) | 0.1911 ± 0.01064 | 2 | SI 10% | 0.2280 ± 0.00347 | 29 |
| CS 0.94%) | 0.2077 ± 0.00538 | 11 | PA (1.56%) | 0.1990 ± 0.00553 | 7 | SI 7.07% | 0.2120 ± 0.00644 | 30 |
| CS (0.35%) | 0.2022 ± 0.00478 | 20 | P A (0.625%) | 0.1942 ± 0.00657 | 21 | SI (4.10% | 0.2075 ± 0.00315 | 33 |
| CS (0.13%) | 0.2029 ± 0.00266 | 30 | PA (0.25%) | 0.1890 ± 0.00199 | 30 | SI (3.54% | 0.2234 ± 0.00213 | 34 |
| CS (0.05%) | 0.2017 ± 0.00413 | 37 | PA (0.1%) | 0.2003 ± 0.00417 | 36 | SI 2.5% | 0.2115 ± 0.00242 | 35 |
| Control | 0.2111 ± 0.00185 | 40 | Control | 0.2128 ± 0.00571 | 40 | Control | 0.2180 ± 0.00298 | 40 |
CS – C. soulattri; PA – P. aduncum; SI – S. indicum, X – average of the weight the pupae (g); SE – standard error, N – number of pupae.
Average weight of S. frugiperda pupae after treatment with C. soulattri, P. aduncum, and S. indicum mixture
| Treatment | The weight of the pupae (X ± SE) (%) | N | Treatment | The weight of the pupae (X ± SE) (%) | N |
|---|---|---|---|---|---|
| CSSI 0.09% | 0.2462 ± 0.00000 | 36 | CSPA 0.11% | 0.2100 ± 0.00467 | 34 |
| CSSI 0.16% | 0.2253 ± 0.00297 | 27 | CSPA 0.195% | 0.2171 ± 0.00731 | 27 |
| CSSI 0.285% | 0.2224 ± 0.00208 | 11 | CSPA 0.348% | 0.2165 ± 0.00412 | 14 |
| CSSI 0.506% | 0.2192 ± 0.00269 | 7 | CSPA 0.618% | 0.2125 ± 0.00628 | 6 |
| CSSI 0.90% | 0.2176 ± 0.00000 | 1 | CSPA 1.10% | 0.1992 ± 0.00000 | 1 |
| Control | 0.2351 ± 0.00265 | 40 | Control | 0.2184 ± 0.00180 | 40 |
CSSI – C. soulattri + S. indicum (4:1); CSPA – C. soulattri + P. aduncum (1:2); X – average of the weight the pupae (g); SE – standard error; N – number of pupae.
4 Discussion
The result obtained from the present study demonstrated the potential effect of insecticide from C. soulattri ethanol extract, P. aduncum methanol extract, and a mixture of C. soulattri extract with P. aduncum extract and a mixture of C. soulattri extract and S. indicum oil for controlling S. frugiperda. Apart from causing death, applying insecticides also disrupted the biological activity of S. frugiperda. These disturbances are suppression of feeding activity, lower pupal weights, and prolonged development time. In addition, this study demonstrated the potential for using this insecticide mixture as an alternative strategy to manage this important pest species.
The main effects observed were on the mortality of S. frugiperda. The mortality effect was due to the presence of insecticide ingredients from the extract. Dillapiole from P. aduncum is an active compound that causes the mortality of test insects [17,18]. Other main compound components of P. aduncum include myristicin, aromadendrene, dillapiole, α-serine, tridecane, γ-elemene, o-cymene, Z-carpacin [19,20], piperitone, terpinen-4-ol, β-caryophyllene, α-humulene, and germacrene-D [21]. C. soulattri extract contains saponins, flavonoids, terpenoids, steroids, phenols, and tannins [21]. C. soulattri mode of action on the active fraction was reported to be faster and did not show symptoms of hormone disruption in insect development [13].
Among all botanical insecticides tested and based on LC value, a mixture of C. soulattri extract with P. aduncum extract (1:2) and a mixture of C. soulattri extract and S. indicum oil (4:1) were more toxic compared to a single application (Tables 1–4). Mixing insecticides is more effective because insect pests encounter a complex mixture of secondary compounds during the feeding process [22]. Scott et al. [23] stated that Piper spp. has a methylenedioxyphenyl group that can synergize when mixed with other plant extracts. S. indicum inhibits the action of P450s and potentiates insecticidal activity [24]. The combination of active compounds increases the insecticide spectrum, lowers residues, and reduces harmful effects on the environment and nontarget organisms [25].
The results of the calculation of the CI of the two mixtures used in this study showed synergistic properties at the LC95 value. However, at the LC50 value, the mixture of P. aduncum and C. soulattri extracts was antagonistic, while the mixture of C. soulattri extract and S. indicum oil was synergistic (Table 5). Several comparisons between ingredients can be made to optimize the toxicity and synergistic effect of the mixture used. Some reports show that insecticide mixtures with different ratios showed different effects. The study by Susanto and Prijono [26] on P. aduncum and Tephrosia vogelii at a ratio of 1:2 showed strong synergy at LC50 and weak synergy at LC95 against Scirpophaga incertulas. Another mixture between P. aduncum and Sapindus rarak (1:10) is synergistic at LC95 but additive at LC50 [27]. Nailufar and Prijono [28] demonstrated that a mixture of P. aduncum and T. vogellli in the ratios of 1:5, 1:1, and 5:1 was 2.4, 2.5, and 3.4 times more toxic than T. vogelli single extract, respectively. Furthermore, a mixture of S. indicum with clove oil (8:2) treatment can increase the mortality of Callosobruchus maculatus compared to single clove treatment alone [29]. This explanation illustrates that the ratio between the ingredients in the mixture determines the combination index for insecticidal and mixed activity properties.
Other effects observed in this study were development time (Tables 6–10), area of feed consumption (Tables 11 and 12), and pupal weight (Tables 13 and 14). The results showed the application of insecticides C. soulattri ethanol extract, P. aduncum methanol extract, a mixture of C. soulattri with P. aduncum extract, and a mixture of C. soulattri extract and S. indicum oil affected these parameters. The development of larvae exposed to insecticides used slowed the development time. This happened because of disturbances in the physiology and biochemistry of S. frugiperda due to insecticide exposure. The energy that should be used for growth and development is used to detoxify insecticides in the bodies. Then the observation parameter of consumption area emphasizes the area of feed consumption, which shows the antifeedant properties of the test insecticides used. C. soulattri is reported to have a function as a primary antifeedant (rejection to eat) and secondary antifeedant (affects the process of eating, digestion, and absorption) [30]. Besides that, S. indicum ligands (sesamol and pinoresinol) provide antifeedant effects and juvenile hormone analogues [31,32]. Research by Cossolin et al. [33] stated that treatment of P. aduncum to Euschistus heros caused cytological changes such as tissue disruption, increased mitochondrial population, and depletion of glycogen and lipids in the body’s fat cells. The presence of antifeedant properties in C. soulattri and P. aduncum extracts and S. indicum oil allows for a combination of actions that can enhance the antifeedant effect. The low weight is likely due to the antifeedant properties of the tested insecticide’s effect on feeding activity and consumption rates decrease [34]. Other studies have also shown that the components of botanical insecticides affect feed consumption and the deficiency of nutrients for larvae to support their growth [35]. However, at sub-LCs, botanical insecticides did not affect reducing the weight of the test insects [36].
These results indicate that S. frugiperda larvae when exposed to insecticide tests, not only kill the test insects but cause biological disruption in S. frugiperda. This effect can contribute to an integrated management strategy to keep the pest population below the damage threshold. Therefore, insecticides derived from C. soulattri, P. aduncum, and their mixture with S. indicum can serve as more environmentally friendly control alternatives for managing S. frugiperda.
5 Conclusion
Applying single and mixed S. soulattri ethanol extract, P. aduncum methanol extract, and S. indicum oil caused mortality in S. frugiperda. LC50 and LC95 value in the insecticide mixture is more toxic than LC50 and LC95 in a single application. The mixture used in this test was C. soulattri ethanol extract and P. aduncum methanol extract (1:2), and then a mixture of C. soulattri ethanol extract and S. indicum oil (4:1) was used. The CI of insecticide mixture shows that at the LC95 value, the mixture has a synergistic effect. The botanical insecticides in this test showed a biological disturbance in S. frugiperda by reducing the area of feed consumption, prolonging the larval development time, and reducing the weight of S. frugiperda pupae. Both mixtures can be developed in eco-friendly management strategies for the economic and sustainable management of S. frugiperda in maize plants.
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Funding information: This research was funded by the Internal Grant Universitas Padjadjaran with the Unpad lecturer competency research scheme in 2022 (No. 2203/UN6.3.1/PT.00/2022) and continues funded by Academic Leadership Grant scheme in 2023 (No. 1549/UN6.3.1/PT.00/2023).
-
Conflict of interest: The authors state no conflict of interest.
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Data availability statement: The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
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- Special Issue on FCEM - International Web Conference on Food Choice & Eating Motivation - Part I
- Traditional agri-food products and sustainability – A fruitful relationship for the development of rural areas in Portugal
- Consumers’ attitudes toward refrigerated ready-to-eat meat and dairy foods
- Breakfast habits and knowledge: Study involving participants from Brazil and Portugal
- Food determinants and motivation factors impact on consumer behavior in Lebanon
- Comparison of three wine routes’ realities in Central Portugal
- Special Issue on Agriculture, Climate Change, Information Technology, Food and Animal (ACIFAS 2020)
- Environmentally friendly bioameliorant to increase soil fertility and rice (Oryza sativa) production
- Enhancing the ability of rice to adapt and grow under saline stress using selected halotolerant rhizobacterial nitrogen fixer
Articles in the same Issue
- Regular Articles
- The impact of COVID-19 pandemic on business risks and potato commercial model
- Effects of potato (Solanum tuberosum L.)–Mucuna pruriens intercropping pattern on the agronomic performances of potato and the soil physicochemical properties of the western highlands of Cameroon
- Machine learning-based prediction of total phenolic and flavonoid in horticultural products
- Revamping agricultural sector and its implications on output and employment generation: Evidence from Nigeria
- Does product certification matter? A review of mechanism to influence customer loyalty in the poultry feed industry
- Farmer regeneration and knowledge co-creation in the sustainability of coconut agribusiness in Gorontalo, Indonesia
- Lablab purpureus: Analysis of landraces cultivation and distribution, farming systems, and some climatic trends in production areas in Tanzania
- The effects of carrot (Daucus carota L.) waste juice on the performances of native chicken in North Sulawesi, Indonesia
- Properties of potassium dihydrogen phosphate and its effects on plants and soil
- Factors influencing the role and performance of independent agricultural extension workers in supporting agricultural extension
- The fate of probiotic species applied in intensive grow-out ponds in rearing water and intestinal tracts of white shrimp, Litopenaeus vannamei
- Yield stability and agronomic performances of provitamin A maize (Zea mays L.) genotypes in South-East of DR Congo
- Diallel analysis of length and shape of rice using Hayman and Griffing method
- Physicochemical and microbiological characteristics of various stem bark extracts of Hopea beccariana Burck potential as natural preservatives of coconut sap
- Correlation between descriptive and group type traits in the system of cow’s linear classification of Ukrainian Brown dairy breed
- Meta-analysis of the influence of the substitution of maize with cassava on performance indices of broiler chickens
- Bacteriocin-like inhibitory substance (BLIS) produced by Enterococcus faecium MA115 and its potential use as a seafood biopreservative
- Meta-analysis of the benefits of dietary Saccharomyces cerevisiae intervention on milk yield and component characteristics in lactating small ruminants
- Growth promotion potential of Bacillus spp. isolates on two tomato (Solanum lycopersicum L.) varieties in the West region of Cameroon
- Prioritizing IoT adoption strategies in millennial farming: An analytical network process approach
- Soil fertility and pomelo yield influenced by soil conservation practices
- Soil macrofauna under laying hens’ grazed fields in two different agroecosystems in Portugal
- Factors affecting household carbohydrate food consumption in Central Java: Before and during the COVID-19 pandemic
- Properties of paper coated with Prunus serotina (Ehrh.) extract formulation
- Fertiliser cost prediction in European Union farms: Machine-learning approaches through artificial neural networks
- Molecular and phenotypic markers for pyramiding multiple traits in rice
- Natural product nanofibers derived from Trichoderma hamatum K01 to control citrus anthracnose caused by Colletotrichum gloeosporioides
- Role of actors in promoting sustainable peatland management in Kubu Raya Regency, West Kalimantan, Indonesia
- Small-scale coffee farmers’ perception of climate-adapted attributes in participatory coffee breeding: A case study of Gayo Highland, Aceh, Indonesia
- Optimization of extraction using surface response methodology and quantification of cannabinoids in female inflorescences of marijuana (Cannabis sativa L.) at three altitudinal floors of Peru
- Production factors, technical, and economic efficiency of soybean (Glycine max L. Merr.) farming in Indonesia
- Economic performance of smallholder soya bean production in Kwara State, Nigeria
- Indonesian rice farmers’ perceptions of different sources of information and their effect on farmer capability
- Feed preference, body condition scoring, and growth performance of Dohne Merino ram fed varying levels of fossil shell flour
- Assessing the determinant factors of risk strategy adoption to mitigate various risks: An experience from smallholder rubber farmers in West Kalimantan Province, Indonesia
- Analysis of trade potential and factors influencing chili export in Indonesia
- Grade-C kenaf fiber (poor quality) as an alternative material for textile crafts
- Technical efficiency changes of rice farming in the favorable irrigated areas of Indonesia
- Palm oil cluster resilience to enhance indigenous welfare by innovative ability to address land conflicts: Evidence of disaster hierarchy
- Factors determining cassava farmers’ accessibility to loan sources: Evidence from Lampung, Indonesia
- Tailoring business models for small-medium food enterprises in Eastern Africa can drive the commercialization and utilization of vitamin A rich orange-fleshed sweet potato puree
- Revitalizing sub-optimal drylands: Exploring the role of biofertilizers
- Effects of salt stress on growth of Quercus ilex L. seedlings
- Design and fabrication of a fish feed mixing cum pelleting machine for small-medium scale aquaculture industry
- Indicators of swamp buffalo business sustainability using partial least squares structural equation modelling
- Effect of arbuscular mycorrhizal fungi on early growth, root colonization, and chlorophyll content of North Maluku nutmeg cultivars
- How intergenerational farmers negotiate their identity in the era of Agriculture 4.0: A multiple-case study in Indonesia
- Responses of broiler chickens to incremental levels of water deprivation: Growth performance, carcass characteristics, and relative organ weights
- The improvement of horticultural villages sustainability in Central Java Province, Indonesia
- Effect of short-term grazing exclusion on herbage species composition, dry matter productivity, and chemical composition of subtropical grasslands
- Analysis of beef market integration between consumer and producer regions in Indonesia
- Analysing the sustainability of swamp buffalo (Bubalus bubalis carabauesis) farming as a protein source and germplasm
- Toxicity of Calophyllum soulattri, Piper aduncum, Sesamum indicum and their potential mixture for control Spodoptera frugiperda
- Consumption profile of organic fruits and vegetables by a Portuguese consumer’s sample
- Phenotypic characterisation of indigenous chicken in the central zone of Tanzania
- Diversity and structure of bacterial communities in saline and non-saline rice fields in Cilacap Regency, Indonesia
- Isolation and screening of lactic acid bacteria producing anti-Edwardsiella from the gastrointestinal tract of wild catfish (Clarias gariepinus) for probiotic candidates
- Effects of land use and slope position on selected soil physicochemical properties in Tekorsh Sub-Watershed, East Gojjam Zone, Ethiopia
- Design of smart farming communication and web interface using MQTT and Node.js
- Assessment of bread wheat (Triticum aestivum L.) seed quality accessed through different seed sources in northwest Ethiopia
- Estimation of water consumption and productivity for wheat using remote sensing and SEBAL model: A case study from central clay plain Ecosystem in Sudan
- Agronomic performance, seed chemical composition, and bioactive components of selected Indonesian soybean genotypes (Glycine max [L.] Merr.)
- The role of halal requirements, health-environmental factors, and domestic interest in food miles of apple fruit
- Subsidized fertilizer management in the rice production centers of South Sulawesi, Indonesia: Bridging the gap between policy and practice
- Factors affecting consumers’ loyalty and purchase decisions on honey products: An emerging market perspective
- Inclusive rice seed business: Performance and sustainability
- Design guidelines for sustainable utilization of agricultural appropriate technology: Enhancing human factors and user experience
- Effect of integrate water shortage and soil conditioners on water productivity, growth, and yield of Red Globe grapevines grown in sandy soil
- Synergic effect of Arbuscular mycorrhizal fungi and potassium fertilizer improves biomass-related characteristics of cocoa seedlings to enhance their drought resilience and field survival
- Control measure of sweet potato weevil (Cylas formicarius Fab.) (Coleoptera: Curculionidae) in endemic land of entisol type using mulch and entomopathogenic fungus Beauveria bassiana
- In vitro and in silico study for plant growth promotion potential of indigenous Ochrobactrum ciceri and Bacillus australimaris
- Effects of repeated replanting on yield, dry matter, starch, and protein content in different potato (Solanum tuberosum L.) genotypes
- Review Articles
- Nutritional and chemical composition of black velvet tamarind (Dialium guineense Willd) and its influence on animal production: A review
- Black pepper (Piper nigrum Lam) as a natural feed additive and source of beneficial nutrients and phytochemicals in chicken nutrition
- The long-crowing chickens in Indonesia: A review
- A transformative poultry feed system: The impact of insects as an alternative and transformative poultry-based diet in sub-Saharan Africa
- Short Communication
- Profiling of carbonyl compounds in fresh cabbage with chemometric analysis for the development of freshness assessment method
- Special Issue of The 4th International Conference on Food Science and Engineering (ICFSE) 2022 - Part I
- Non-destructive evaluation of soluble solid content in fruits with various skin thicknesses using visible–shortwave near-infrared spectroscopy
- Special Issue on FCEM - International Web Conference on Food Choice & Eating Motivation - Part I
- Traditional agri-food products and sustainability – A fruitful relationship for the development of rural areas in Portugal
- Consumers’ attitudes toward refrigerated ready-to-eat meat and dairy foods
- Breakfast habits and knowledge: Study involving participants from Brazil and Portugal
- Food determinants and motivation factors impact on consumer behavior in Lebanon
- Comparison of three wine routes’ realities in Central Portugal
- Special Issue on Agriculture, Climate Change, Information Technology, Food and Animal (ACIFAS 2020)
- Environmentally friendly bioameliorant to increase soil fertility and rice (Oryza sativa) production
- Enhancing the ability of rice to adapt and grow under saline stress using selected halotolerant rhizobacterial nitrogen fixer