Plant Pests Research Articles

Effectiveness of A Combination of Kitolod Leaves (Laurentia longiflora), Papaya Leaves (Carica papaya), and Lemongrass (Cymbopogon citratus) as Candidates for Biocides on Bactrocera Pests in Citrus sinensis Plants

Bactrocera is a pest that is detrimental to citrus farming. Bactrocera attacks cause developmental disorders in citrus fruit, including changes in fruit color (black spots appear from Bactrocera infection) and premature rot. Bactrocera also has a symbiotic relationship with Liberibacter asiaticus which causes Citrus Vein Phloem Degeneration (CVPD) disease which attacks phloem tissue in citrus plants. Bactrocera pest control was carried out by combining plants that have the potential to be used as biocides, namely kitolod, papaya, and lemongrass plants. This combination was used to switch the habits of fruit farmers who previously used synthetic pesticides to control pests. Natural biocides are expected to have the same effectiveness as synthetic pesticides, but leave no residue on cultivated plants. A combination biocide from the three plants was made using the maceration method to obtain an infusion from each plant. Before being tested on Citrus plantations, an assay was carried out using an olfactometer to determine the effectiveness of the biocides. The research revealed that the combination of these three plants has the potential to be used as a natural biocide without leaving residueand causing damage or other developmental disorders to citrus plants.

Production and Marketing Strategies of Pineapple Growers in Calauan, Laguna, Philippines

Pineapple holds significant economic importance in the Philippines due to its widespread cultivation, prominent export position, and favorable climate. As a leading producer and exporter, the country makes a substantial contribution to the global market. This study primarily focused on data collection concerning the production and marketing system of pineapple in Calauan, Laguna, Philippines. The descriptive research design was used in the study covering the quantitative data gathered from fifty- two (52) pineapple growers utilizing checklist-based questionnaire. The study revealed that production of pineapple was established for more than 10 years in a one to two hectares of land generating an approximate income of PhP 100,000.00 to PhP 200,000.00 annually. Most common pineapple cultivar planted was Smooth cayenne or Hawaiian cultivars. Data revealed that the production systems undertaken by the pineapple growers in Calauan, Laguna were grown in a free draining loam soil applied with inorganic fertilizer every two months and regular weeding was done. Harvesting was done manually to maintain the quality of fruits. Direct marketing of pineapple showed helpful to the growers for easy generation of income after harvesting. Common preference on Calauan pineapple was based on its sweetness regardless of its size and mostly bought by the buyers and consumers in farm gate level. Pricing of pineapples were based on its size considering its class. Promotion and sales of pineapples were based on direct selling and wholesale and on cash basis. The study identified several challenges low demand of product, low supply of product, lack of planting materials and pest and diseases. To address these challenges, the study recommended that pineapple growers may explore biotechnologies through government intervention to increase the number of planting materials and production of quality pineapple. It also recommended that pineapple growers may attend training's and seminars regarding marketing, bookkeeping and post-harvest for value adding technologies that will help to increase the income.

Development of a Multiplex Polymerase Chain Reaction Assay for Detecting Five Previously Unreported Papaya Viruses for Quarantine Purposes in Korea

There are concerns about the introduction and spread of plant pests and pathogens with globalization and climate change. As commercial control agents have not been developed for plant viruses, it is important to prevent virus spread. In this study, we developed a multiplex polymerase chain reaction (PCR) detection method to rapidly diagnose and control three DNA (papaya golden mosaic virus, Lindernia anagallis yellow vein virus, and melon chlorotic leaf curl virus) and two RNA (papaya leaf distortion mosaic virus and lettuce chlorosis virus) viruses that infect papaya. Specific primer sets were designed for the virus coat protein. Performing PCR, clear bands were observed with no non-specific reaction. Our multiplex PCR method can simultaneously detect small amounts of DNA/RNA to diagnose five viruses infecting papaya and prevent the spread of the virus.

Potential of Pangi Leaf Extract For Papaya Mealybug Control (Paracoccus marginatus)

The use of smer plant extracts is one alternative in environmentally friendly pest control. This research generally aims to obtain a technology for controlling Paracoccus marginatus mealybug pests that is environmentally friendly and easily applied by farmers. This study aims to determine the formulation of vegetable insecticide extract of pangi leaves to control papaya mealybug P. marginatus. This research was conducted at the Laboratory of Plant Pests and Diseases, Faculty of Agriculture, Sam Ratulangi University Manado. This research method used consisted of five treatments of pangi leaf extract dosage, namely: 5%, 10%, 20%, 40% and control. Each treatment was tested on pest nymphs. P. marginatus. And each treatment was repeated 5 times. The results of the study showed that 40% pangi leaf extract had the highest percentage of daily mortality at 24% and 48%. The higher the concentration of pangi leaf extract formulation, the higher the killing power on mealybug P. marginatus.

Corrigendum: Antifungal evaluation of turmeric rhizome extract against Colletotrichum capsici, the causal agent of anthracnose on red-chili peppers (Capsicum annuum L.)

Antifungal evaluation of turmeric rhizome extract against Colletotrichum capsici, the causal agent of anthracnose on red-chili peppers (Capsicum annuum L.) by Akin, HM, Aggraini D, Wibowo L, Prasetyo J & Suharjo R. 2024. J. Trop Plant Pests Dis. 24(1): 75–81. https://doi.org/10.23960/jhptt.12475-81 In the original article, on page 77, the formula for disease intensity has an incomplete legend. The authors apologize for this mistake and clarify that it does not affect the scientific conclusions of the article. The original version has been corrected

Repellency of Citronella Essential Oil in Controlling Pests in Plants

This study aims to evaluate the effectiveness of citronella essential oil as a repellency agent in controlling pest attacks on plants. The method used was systematic literature review with data collection through literature studies to collect various types of existing literature to be extracted according to the research title. The findings indicated that citronella essential oil has potential as an environmentally friendly and sustainable pest control method. However, several challenges such as the stability of the oil in the open and the need for periodic reapplication need to be addressed. With an integrated approach that takes into account relevant environmental and technical factors, the use of citronella essential oil can become an integral part of a more effective pest control strategy in agriculture.

Pest Control and Safety Management Monitoring in Outdoor Plantation Using Unmanned Aerial Vehicle Captured Images

The National Institute of Ecology in Seocheon, Chungcheongnam-do, exhibits and studies Korea’s diverse ecosystems to communicate the importance of biodiversity conservation to the general public. The site faces the challenge of preserving the natural environment while ensuring visitor convenience. This requires systematic data collection to quickly detect and respond to threats from pests and natural disasters. In this study, high-resolution orthoimages were acquired to monitor ecological changes using unmanned aerial vehicles. Images were captured through flights monthly from March to July 2024. Digital elevation models and orthoimages were generated to identify dead trees and assess areas of damage caused by heavy rainfall. The study covered an area of 998,655 m2, and the image resolution was 3.6 cm/pixel. The orthophotos were useful in identifying plant pest damage. They also helped evaluate damage caused by rain, showing that the total area of damage was 29,384 m2, mainly due to soil erosion. Furthermore, it is expected that the accumulation of such unmanned remote sensing image data can also be applied to the safety management of various natural conservation areas and public facilities.

Evidence of Cuticle Chemicals of Heortia vitessoides (Lepidoptera: Crambidae) Larvae Influencing the Aggregation Behavior of Conspecific Larvae.

Heortia vitessoides (Lepidoptera: Crambidae) is a severe pest of Aquilaria plants, which produce high-priced agarwood. The larval stage of this pest is gregarious, usually forming large aggregates during young instars and becoming solitary during the fifth instar. We hypothesize that the cuticle chemicals of young-instar H. vitessoides larvae could promote larval aggregating, whereas the cuticle chemicals of late-instar larvae would no longer attract young-instar larvae. In this study, two-choice tests were conducted to evaluate the effect of cuticle extracts of second- and fifth-instar H. vitessoides larvae on the aggregation preference of second-instar larvae. Results show that significantly more larvae aggregated on the leaves treated with the hexane extract of second-instar H. vitessoides larvae than on untreated leaves. However, the hexane extract of fifth-instar larvae had no significant effect on the aggregation preference of the second-instar conspecific larvae. Interestingly, acetone extracts of both second- and fifth-instar H. vitessoides larvae repelled the second-instar conspecific larvae throughout the 8 h experiment. Our study shows that cuticle chemicals of H. vitessoides larvae may play a role in the group dynamics of this pest, which may contribute to screening novel attractants and repellents for H. vitessoides. Detailed chemical analyses of the extracts and identification of the compounds involved in larval attracting and repelling would be valuable in future studies.

Fall Armyworm Spodoptera frugiperda J.E. Smith (Lepidoptera: Noctuidae) in East Nusa Tenggara Province of Indonesia: Genetic Characterization and Strain Detection

<em>Spodoptera frugiperda</em> J.E. Smith (Lepidoptera: Noctuidae) is an invasive pest of corn plants spreading throughout the world, including East Nusa Tenggara (NTT), Indonesia. Despite the wide distribution, there is a lack of information on the strain or genetic diversity of the pest in NTT. Therefore, this study aimed to determine the strain of <em>S. frugiperda</em> from several areas in NTT with a molecular method using <em>cytochrome oxidase subunit 1</em> (<em>COI</em>)<em> </em>and <em>triose phosphate isomerase</em> (<em>Tpi</em>)<em> </em>gene markers. The<em> </em>samples were collected from 3 islands: Timor, Flores, and Sumba. Amplification of the marker genes was carried out using 3 specific primers to identify the strain obtained from samples. Subsequently, polymerase chain reaction (PCR) products were sequenced and the DNA sequences were analyzed using the BioEdit and BLAST programs. Phylogeny analyses were carried out using the MEGA 11 program to verify the strain group of samples with reference isolates from other countries found in GenBank. The PCR results showed product amplicon size 811 bp for the <em>CO1A</em> marker. Based on phylogeny tree analysis using <em>COI </em>marker, <em>S. frugiperda </em>from NTT showed 2 clades, namely corn and rice strains. The characterization results showed that <em>S. frugiperda</em> in NTT comprised 63.6% corn and 36.4% rice strains. <em>COIB </em>classified <em>S. frugiperda</em> from NTT into the h4 haplotype subgroup, while <em>Tpi </em>gene marker was in the corn strain. This study provided valuable information regarding the strain of <em>S. frugiperda</em> in Indonesia to determine the appropriate control strategy.

First report of Eupterote sp. nr. gardneri Byrk, 1950 (Lepidoptera: Eupterotidae) as a defoliator pest of banana in Kerala, India with notes on its biology

In this study, Eupterote sp. nr. gardneri Byrk, 1950 (=Eupterote geminata (Walker) ssp. gardneri Byrk, 1950) is recorded for the first time as a pest of banana in India. The outbreaks and crop damage caused by the hairy caterpillars of this species are documented with illustrated images. The banana cultivars Palayamkodan, Nendran, and Ney Poovan in the field, as well as cv. Popoulu in insect net house studies, were identified as preferred host varieties. Detailed morphological characteristics of the final instar caterpillar and adults, along with photographic illustrations, are provided. The biology of the pest and additional host plant records from Kerala are also discussed. Key words: First report of Eupterote sp, Eupterotidae, pest, defoliator, banana, economic loss, biology, host plants, India.

The use of mineral dynamised high dilutions for natural plant biostimulation; effects on plant growth, crop production, fruit quality, pest and disease incidence in agroecological strawberry cultivation

ABSTRACT Strawberries (Fragaria x ananassa) are one of the most important fruit crops worldwide. Most of the strawberries that are produced today rely on the use of pesticides and fungicides, leading the crop to be listed as one of the most contaminated by contentious inputs. Plant biostimulants are used as a plant health strategy focused on stimulating plant growth and development with a low residual impact. The objective of this study was to assess the plant biostimulation effects of strawberry plants treated with mineral dynamised high dilutions (DHDs): Sulphur 12CH, Phosphorus 12CH, Kali carbonicun 12CH, Calcarea carbonica 12CH, Silicea terra 12CH, Natrum muriaticum 12CH and Mercurius solubilis 12 CH, distilled water 12CH and distilled water (control). The experiment was undertaken under greenhouse conditions at the University of Santa Catarina State (UDESC), in Lages, Santa Catarina (SC), Brazil in 2019 and was repeated in 2021 at the Federal University of Santa Catarina (UFSC), in Curitibanos, SC. The experiment used a randomised block design, following double-blind treatment application. Data were analysed by ANOVA and when significant (p ≤ 0.05) by Dunnett’s test. The results showed that plants treated with DHDs of Sulphur 12CH, Phosphorus 12CH and Kali carbonicum 12CH increased plant growth and crop yield and were less affected by leaf spot disease (Mycosphaerella fragariae). Plants treated with Silicea terra 12CH, or with Calcarea carbonica 12CH showed increased development of the root system. The results obtained suggested that mineral DHDs could be used as plant biostimulants to support agroecological strawberry production.

Assessment of Different Cucurbit Genotypes for Resistance to Zucchini Yellow Mosaic Virus (ZYMV)

Members of the Cucurbitaceae family, which includes species with quite different characteristics, have been used for food, medicine, and ornamental purposes for a long time. However, most plant diseases and pests cause yield and quality losses in cucurbits, and one of the most important of these diseases is zucchini yellow mosaic virus (ZYMV), which one of the most common potyviruses worldwide and causes serious yield losses in cucurbit production worldwide. Zucchini Yellow Mosaic Virus shows symptoms such as yellowing, mottling, curling, deformation, mosaic, shortening and thickening of the internodes, and may also cause loss of yield and quality. As widely known, there is no effective chemical control of viral diseases, and the use of resistant or tolerant varieties is the most effective solution. In this study, 92 watermelon genotypes, 14 zucchinis (pumpkin seeds) and 29 ornamental pumpkins collected from different parts of Türkiye were tested against ZYMV. Symptoms of ZYMV in different watermelon genotypes and pumpkins were observed for 21 days. Genotypes showing systemic infection after inoculation were evaluated on a scale of 0-5. Also, RT-PCR studies were carried out on selecting nine symptomless control plants, seven ZYMV-sensitive genotypes showing 5-scale value, one genotype with 1-scale value considered tolerant, and one genotype belongs to C. lanatus var. citroides. According to the results, it was determined that some watermelon and ornamental pumpkin genotypes could be considered as tolerant. Watermelon, which was having accession number PI560016, was found resistant to Turkish local strain of ZYMV. Although different susceptibility levels were detected between watermelon genotypes, all pumpkin genotypes were discovered to be susceptible to the Turkish local strain of ZYMV.

Convolutional neural network as an efficient alternative to supervised learners for modelling plant diseases

The high productivity of the agricultural sector is crucial to the Global economy, as well as the national economy. For instance, India increased its nation's GDP by a factor of 17% to 18% in the past few decades. In India, the farming sector is the primary source of income. Numerous insects and illnesses have an impact on plant development, amount, and quality of products. Therefore, it is crucial to find the diseases early in the plant's development. Image processing is used to identify plant diseases and pests. Artificial intelligence, machine learning, and visual analysis have all been used in the past few decades to find and diagnose plant diseases. These computerized techniques are excellent for quickly monitoring vast acreage. In this study, we used the foliage of potato plants to identify diseased leaves affected by early blight, as well as late blight. A Comparison is thus laid between the Convolutional Neural Network (CNN) Model for this purpose, and the standard Supervised Learning Classifiers, like k – Nearest Neighbors, Support Vector Machine, AdaBoost, etc. The comparison is subjected not only towards the traditional Metrics, like Accuracy, Precision, etc. but is expanded to temporal domains as well, that is the time taken to compute the results. Also, the training, and testing split used while incorporating the model is another deciding factor in its performance. Several such training–testing splits are considered for such, and thereby, the convolutional Neural Network Model is found to be better in performance than the Supervised Machine Learners irrespective of the Splitting Ratio of the Training, and the Testing Data.

Integrated Farming System: A Sustainable Approach towards Modern Agriculture

Integrated farming system (IFS) is an integrated approach towards sustainable agriculture in this modern era. It is the integration of various agricultural enterprises or practices such as crops, livestock, Poultry, fish, agroforestry, horticulture, vermicomposting, Mushroom cultivation and beekeeping, in a single farming system. IFS is considered as the efficient tool for enhancing the profitability of farming systems especially for small and marginal farmers. The purposes or objectives of the IFS are: It enhances the productivity per unit area; Agriculture waste management; Soil health management and soil conservation; Generation of diversified income round the year; less use of chemicals; Increasing the yield of all integrated components and food security. IFS include various components or enterprises. These enterprises not only increase the farmer’s income but also increase employment generation of a family. The juadicious integration of these agricultural enterprises improves the socio-economic status of the farmers. The crop production component of IFS includes the cultivation of various economically important crops such as cereals, pulses, vegetables, fruits, and herbs. To maintain the soil health & fertility and management of Plant diseases and pests, various cultural methods such as intercropping, crop rotation, soil solarisation, organic amendment, Mulching, etc. Mushroom cultivation is also one of the important enterprises in IFS that contribute towards increase in farmer’s income. Another important component of IFS includes the rearing of different types of livsestock such as cows, goats, sheep, Duckery, Piggery, Apiary, and poultry. Livestock provides a source of income and produces manure, which can be used as fertilizer for crops. Biogas is another enterprise which is the use of agricultural and animal waste to produce energy. This Bioenergy helps to reduce the dependence on fossil fuels and provide a source of income for farmers. There are various models that can be used in IFS like Horticulture+ Piggery+ Fisheries+ Plantation crops and Agriculture+ Horticulture+ Poultry+ Fishery+ Mushroom. Hence, Integrated Farming System is a promising approach for increasing productivity, increasing farmer’s income by utilizing the agricultural and animal waste, recycling farm by-products and efficient utilization of available resources.

GO promotes detoxification of nicosulfuron in sweet corn by enhancing photosynthesis, chlorophyll fluorescence parameters, and antioxidant enzyme activity

Although graphene oxide (GO) has extensive recognized application prospects in slow-release fertilizer, plant pest control, and plant growth regulation, the incorporation of GO into nano herbicides is still in its early stages of development. This study selected a pair of sweet corn sister lines, nicosulfuron (NIF)-resistant HK301 and NIF-sensitive HK320, and sprayed them both with 80 mg kg–1 of GO-NIF, with clean water as a control, to study the effect of GO-NIF on sweet corn seedling growth, photosynthesis, chlorophyll fluorescence, and antioxidant system enzyme activity. Compared to spraying water and GO alone, spraying GO-NIF was able to effectively reduce the toxic effect of NIF on sweet corn seedlings. Compared with NIF treatment, 10 days after of spraying GO-NIF, the net photosynthetic rate (A), stomatal conductance (Gs), transpiration rate (E), photosystem II photochemical maximum quantum yield (Fv/Fm), photochemical quenching coefficient (qP), and photosynthetic electron transfer rate (ETR) of GO-NIF treatment were significantly increased by 328.31%, 132.44%, 574.39%, 73.53%, 152.41%, and 140.72%, respectively, compared to HK320. Compared to the imbalance of redox reactions continuously induced by NIF in HK320, GO-NIF effectively alleviated the observed oxidative pressure. Furthermore, compared to NIF treatment alone, GO-NIF treatment effectively increased the activities of superoxide dismutase (SOD), guaiacol peroxidase (POD), catalase (CAT), and ascorbate peroxidase (APX) in both lines, indicating GO induced resistance to the damage caused by NIF to sweet corn seedlings. This study will provides an empirical basis for understanding the detoxification promoting effect of GO in NIF and analyzing the mechanism of GO induced allogeneic detoxification in cells.

Chromosome-level genome assembly of Oriental chestnut gall wasp (Dryocosmus kuriphilus)

Dryocosmus kuriphilus, commonly known as the chestnut gall wasp, belongs to the family Cynipidae and is native to China. It is a highly invasive insect species causing serious damage to chestnut trees and has rapidly spread to various continents, including Europe, North America, and Oceania. The D. kuriphilus has become one of the important pests of chestnut plants in the world and is listed as a quarantine object by the European and Mediterranean Plant Protection Organization (EPPO). In this study, we used PacBio long reads, Illumina short reads, and Hi-C sequencing data to construct a chromosome-level assembly of the D. kuriphilus genome. The assembled genome includes 14,729 contigs with a total length of 2.28 Gb and a contig N50 of 0.8 Mb. With Hi-C technology, 2.17 Gb (95.02%) of contigs were anchored and oriented into the 10 pseudochromosomes with the scaffold N50 of 198.8 Mb and the scaffold N90 of 158.8 Mb. In total, 24,086 protein-coding genes were predicted in the assembled D. kuriphilus genome as the reference gene set. A total of 1.82 Gb repeats (occupying 79.7% of the genome), including 1.42 Gb of transposable elements and 0.40 Gb of tandem repeats, were identified in D. kuriphilus genome. In the evaluation of completeness, the BUSCO analysis determined a level of 98.1% completeness for the assembled genome sequences based on the Insecta database (OrthoDB version 10). The high-quality genome assembly of D. kuriphilus will not only provide a valuable reference for the study of its evolutionary history and genetic structure but also facilitate the research of host-pest interactions and invasiveness. Moreover, this genome assembly will promote in the development of effective management strategies to mitigate the economic and ecological impacts of this invasive pest on chestnut trees and ecosystems.

Molecular Detection of kdr and superkdr Mutation Sites and Analysis of the Binding Modes of Pyrethroid Insecticides with Voltage-Gated Sodium Channels in the Plant Bug Lygus pratensis (Hemiptera: Miridae).

This study identified genetic mutations linked to resistance to pyrethroid insecticides in the plant pest Lygus pratensis. The voltage-gated sodium channel (VGSC) gene was cloned, revealing two mutations (Met918Thr and Leu1014Phe) in laboratory strains and field populations from Inner Mongolia, resulting in variable pyrethroid resistance. A 3D model of LpVGSC was created using homology modeling, and pyrethroid binding patterns were analyzed via molecular docking. Molecular dynamics simulations confirmed structural stability changes and binding stability of pyrethroids to VGSC sites. Mutation frequencies of homozygous and heterozygous genotypes did not exceed 40 and 20%, respectively. Toxicity tests showed high resistance to λ-cyhalothrin (LC50:401.31 ng/cm2). The kdr (L1014F) and superkdr (M918T) mutations weakened interaction forces, reducing pyrethroid binding. M918T and L1014F mutations are predicted to reduce Type I pyrethroid affinity, suggesting Type II pyrethroids may be more effective against resistant strains. These findings aid in resistance management and insecticide design.

Engineering Entomopathogenic Fungi Using Thermal-Responsive Polymer to Boost Their Resilience against Abiotic Stresses.

Entomopathogenic fungi offer an ecologically sustainable and highly effective alternative to chemical pesticides for managing plant pests. However, the efficacy of mycoinsecticides in pest control suffers from environmental abiotic stresses, such as solar UV radiation and temperature fluctuations, which seriously hinder their practical application in the field. Herein, we discovered that the synthetic amphiphilic thermal-responsive polymers are able to significantly enhance the resistance of Metarhizium robertsii conidia against thermal and UV irradiation stresses. The thermosensitive polymers with extremely low cytotoxicity and good biocompatibility can be engineered onto the M. robertsii conidia surface by anchoring hydrophobic alkyl chains. Further investigations revealed that polymer supplementation remarkably augmented the capacity for penetration and the virulence of M. robertsii under heat and UV stresses. Notably, broad-spectrum entomopathogenic fungi can be protected by the polymers. The molecular mechanism was elucidated through exploring RNA sequencing and in vivo/vitro enzyme activity assays. This work provides a novel avenue for fortifying the resilience of entomopathogenic fungi, potentially advancing their practical application as biopesticides.

Crop Pest Detection using Convolutional Neural Network

Pests in plants can cause significant losses in agricultural production. As a result, various technologies are used nowadays to improve agriculture's efficiency and make it more sustainable. This research highlights the contribution of machine learning algorithms and image recognition technologies for pest identification. Farmers can use the system to recognize pests and take the necessary actions to reduce them. Convolutional Neural Networks (CNN) is used in this study for image recognition tasks, including pest identification in agricultural fields. The algorithm is trained using the Agricultural Pests Dataset acquired from Kaggle. The experiment results showed that the CNN performed better than the other state-of-the-art machine learning models, with a much lower false rejection rate of 0.12% and an accuracy of 99%.

Differences between phytophagous and predatory species in Pentatomidae based on the mitochondrial genome.

Pentatomidae includes many species of significant economic value as plant pests and biological control agents. The feeding habits of Pentatomidae are closely related to their energy metabolism and ecological adaptations. In this study, we sequenced the mitochondrial genomes of 12 Asopinae species using the next-generation sequencing to explore the effect of dietary changes on mitochondrial genome evolution. Notably, all sequences were double-stranded circular DNA molecules containing 37 genes and one control region. We then compared and analyzed the mitochondrial genome characteristics of phytophagous and predatory bugs. Notably, no significant difference was observed in the length of the mitochondrial genomes between the predatory and phytophagous bugs. However, the AT content was higher in the mitochondrial genomes of phytophagous bugs than that of predatory bugs. Moreover, phytophagous bugs prefer codon usage patterns ending in A/T compared with predatory bugs. The evolution rate of predatory bugs was lower than that of phytophagous bugs. The phylogenetic relationships across phytophagous bugs' lineages were largely consistent at depth nodes based on different datasets and tree-reconstructing methods, and strongly supported the monophyly of predatory bugs. Additionally, the estimated divergence times indicated that Pentatomidae explosively radiated in the Early Cretaceous. Subsequently, the subfamily Asopinae and the genus Menida diverged in the Late Cretaceous. Our research results provide data supporting for the evolutionary patterns and classification of Pentatomidae.