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Summary Tomato is one of the most economically important vegetable crops in the world and has been seriously affected by the devastating agricultural pest root‐knot nematodes (RKNs). Current understanding of tomato resistance to RKNs is quite limited. VQ motif‐containing family proteins are plant‐specific regulators; however, whether and how tomato VQs regulate resistance to RKNs is unknown. Here, we found that SlVQ15 recruited SlWRKY30IIc to coordinately control tomato defence against the RKN Meloidogyne incognita without affecting plant growth and productivity. The jasmonate (JA)‐ZIM domain (JAZ) repressors of the phytohormone JAs signalling associated and interfered with the interaction of SlVQ15 and SlWRKY30IIc. In turn, SlWRKY30IIc bound to SlJAZs promoters and cooperated with SlVQ15 to repress their expression, whereas this inhibitory effect was antagonized by SlJAZ5, forming a feedback regulatory mechanism. Moreover, SlWRKY30IIc expression was directly regulated by SlMYC2, a SlJAZ‐interacting negative regulator of resistance to RKNs. In conclusion, our findings revealed that a regulatory circuit of SlVQ15‐SlWRKY30IIc and the JA pathway fine‐tunes tomato defence against the RKN M. incognita, and provided candidate genes and clues with great potential for crop improvement. [ABSTRACT FROM AUTHOR]

No mechanoreceptor potential C (NompC) is a major mechanotransduction channel with an important role in sensing of external mechanical stimuli by insects, which help these organisms to avoid injury and adapt to environmental changes. To explore the biological functions of NompC in Bactrocera dorsalis, a notorious agricultural pest, we successfully generated NompC knockout strains using clustered regularly interspaced small palindromic repeats (CRISPR) / CRISPR‐associated nuclease 9 (Cas9) technology. BdorNompC knockout led to an adult lethal phenotype, with approximately 100% mortality at 3 d after eclosion. Morphological observation revealed that the legs and wings of BdorNompC knockout insects were deformed, while behavioral assays showed that the locomotion was impaired in both adults and larvae, relative to that of the wild‐type strain. Moreover, BdorNompC knockout reduced gentle‐touch response in larvae. These results suggest that BdorNompC is critical for B. dorsalis survival, and that this mechanosensation channel represents a potential new target for pest control agents. Our findings also represent novel evidence indicating that insect NompC is involved in modulating adult wing and leg morphology. [ABSTRACT FROM AUTHOR]

Since its inception, antisense oligonucleotides (ASOs) have been extensively used in functional genomics. Recent advancements in chemical modification and delivery technology extend its applications to the targeted management of crop pests. ASO was conceptualized in the early 1970s and first applied to inhibit retrovirus replication in chickens. The principles of ASOs rely on target complementarity by hybridizing with the mRNA and inhibiting the function. However, the application of ASO received little attention because of its high instability in the biological environment. Initial ASOs, featuring phosphorothioate linkages, laid the groundwork for subsequent advancements, by addressing challenges such as nuclease degradation and cellular uptake limitations. The second generation introduced 2'-modifications to enhance stability and specificity while allowing reversible gene regulation. Third-generation ASOs incorporated innovative chemical modifications like locked nucleic acids (LNAs), peptide nucleic acids (PNAs), phosphoramidate morpholino oligomers (PMOs), 2′-deoxy-2′-fluoro-d-arabinonucleic acid (FANA), cyclohexene nucleic acids (CeNAs), and tricyclo-DNA (tcDNA), offering enhanced efficacy and stability. ASO technology continues to evolve, promising precision medicine and customized therapies for genetic diseases. In agriculture, ASOs selectively target essential genes in pests or pathogens, which would be a novel option for providing precise crop protection and reducing reliance on conventional pesticides. Recent studies demonstrated successful ASO application in thrips, psyllids, Gypsy moths, scale insects, citrus greening, and Zebra-chip diseases. Additionally, ASOs hold the potential for improving crop yield and quality by modulating gene expression related to plant growth, development, and stress responses. They can enhance abiotic stress tolerance, regulate genes associated with specific traits, and offer alternative strategies for managing diseases, such as targeting S-genes in tomatoes for resistance against bacterial spots. These applications antecede the oligo-based pesticides that will revolutionize future agriculture by reducing pesticide uses and harmful impacts on the ecosystem. Further advancements in environmental stability, field efficacy, delivery formulation, and environmental safety would mold this technology into a novel tool for sustainable crop protection. This review highlights the fundamentals of ASO, recent advancements in design chemistry, delivery systems, validation and optimization process, and its potential in customized pest management. This would serve as a ready reckoner for future ASO research and application. [ABSTRACT FROM AUTHOR]

Many studies have explored the potential of companion plants to manage pests through top–down or bottom–up effects in agricultural fields. Buckwheat is known as a good candidate for companion planting with various crops to enhance pest management, but rarely in soybeans.We investigated the impact of planting buckwheat as a new companion plant on the population dynamics of major soybean pests and their natural enemies in soybean fields in Andong, Republic of Korea. We recorded numbers of pests and natural enemies at 9–10‐day intervals from 20 soybean plants each in eight small experimental fields throughout the cropping season.Significant reduction in pests, such as Riptortus pedestris (F.) (Hemiptera: Alydidae) adults, and a significant increase in natural enemies, such as Orius species (Hemiptera: Anthocoridae) and crab spiders (Araneae: Thomisidae), were observed in the buckwheat treatment plots. However, there were significant increases in other pests, such as leafminers and leafhoppers, in the buckwheat treatment plots. While we observed effects on R. pedestris adult density, we did not find significant effects on other developmental stages of this pest or its parasitoids.Although there were some concerns in the buckwheat treatment plots, the positive effects of buckwheat in soybean fields appear to outweigh the drawbacks. Buckwheat is likely a suitable companion plant for use in soybeans to manage pests. [ABSTRACT FROM AUTHOR]

BACKGROUND: Ensuring the efficient recognition and management of crop pests is crucial for maintaining the balance in global agricultural ecosystems and ecological harmony. Deep learning‐based methods have shown promise in crop pest recognition. However, prevailing methods often fail to address a critical issue: biased pest training dataset distribution stemming from the tendency to collect images primarily in certain environmental contexts, such as paddy fields. This oversight hampers recognition accuracy when encountering pest images dissimilar to training samples, highlighting the need for a novel approach to overcome this limitation. RESULTS: We introduce the Decoupled Feature Learning (DFL) framework, leveraging causal inference techniques to handle training dataset bias. DFL manipulates the training data based on classification confidence to construct different training domains and employs center triplet loss for learning class‐core features. The proposed DFL framework significantly boosts existing baseline models, attaining unprecedented recognition accuracies of 95.33%, 92.59%, and 74.86% on the Li, DFSPD, and IP102 datasets, respectively. CONCLUSION: Extensive testing on three pest datasets using standard baseline models demonstrates the superiority of DFL in pest recognition. The visualization results show that DFL encourages the baseline models to capture the class‐core features. The proposed DFL marks a pivotal step in mitigating the issue of data distribution bias, enhancing the reliability of deep learning in agriculture. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

BACKGROUND: The Eurasian magpie Pica pica is a resident bird species able to colonize farmlands and anthropized environments. This corvid shows a wide trophic spectrum by including fruits, invertebrates, small vertebrates and carcasses in its diet. A camera‐trap experiment was carried out to test the effect of different ozone (O3) concentrations on potted Vitis vinifera plants, which resulted in different grape consumption rates by suburban birds. The test was performed at an Ozone‐Free Air Controlled Exposure (FACE) facility, consisting of nine plots with three ozone (O3) levels: AA (ambient O3 concentration); and two elevated O3 levels, 1.5× AA (ambient air with a 50% increase in O3 concentration) and 2.0× AA (ambient air with a 100% increase in O3 concentration). Camera‐traps were located in front of each treatment area and kept active for 24 h day−1 and for 5 days at a time over a period of 3 months to monitor grape consumption by birds. RESULTS: We collected a total of 38 videos. Eurasian magpies were the only grape consumers, with a total of 6.7 ± 3.3 passages per hour (mean ± SD) and no differences across the different O3 treatments. Grapes in the AA treatment were consumed significantly more quickly than those in the 1.5× AA treatment, which in turn, were consumed faster than those in the 2.0× AA treatment. At 3 days from the start of treatment, 94%, 53% and 22% berries from the AA, 1.5× AA and 2.0× AA treatments had been eaten, respectively. When the O3 was turned off, berries were consumed at the same rate among treatments. CONCLUSION: Increasing O3 concentrations limited grape consumption by magpies probably because O3 acted as a deterrent for magpies, although the lower sugar content recorded in the 2.0× AA berries did not affect the consumption when O3 was turned off. Our results provided valuable insights to mitigate human–wildlife conflicts in suburban environments. © 2023 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

Insects harm or destroy the crops and plants in agriculture fields by causing infection to the plants or destroying the valuables, which is called as a pest. When a plant is invaded by pests, the quality of the food it produces decreases drastically. So, it is highly essential to detect the pests before they attack the plants. However, the existing pest detection and categorizing techniques need suggestions and decisions from entomologists, and also this process consumes more time. If pests are identified at an early stage, then it could help the farmer to eliminate the necessity for pesticides and also increase food production. Because of its almost similar look, detecting and classifying the pests associated with a crop is complex work for the farmer, especially during the initial stage of plant growth. The sudden and productive growth in the Internet-of-Things (IoT) technology also finds its application in agriculture, resulting in a transition from statistical to quantitative methods. To alleviate the issues in the agricultural sector, a new framework for an IoT-assisted Automatic Pest Prediction and Classification (APDC) model using ensemble transfer learning of the convolutional neural network (CNN) method is developed. At first, IoT sensors are used to capture pest images from the agricultural field. These images are stored in the standard database, from which these images are taken for conducting experiments. The gathered images are then subjected to image pre-processing for contrast enhancement by median filter (MF). After that, the pests are detected from the pre-processed image by means of a Hybrid You Only Look Once (Yolo) v3 and Single Shot multi-box Detector (HYSSD) model. In this model, two algorithms, namely the Beetle Swarm Optimization (BSO) and the Salp Swarm Algorithm (SSA), are combined to optimize the parameters. An adaptive ensemble transfer CNN (AETC) is used to identify the pests after it has been detected. DenseNet, MobileNet, and ResNet are the three models that constitute this ensemble model. Finally, various metrics are used to verify the effectiveness of the proposed classification model. The findings from the results show that the recommended method has better classification accuracy. [ABSTRACT FROM AUTHOR]

Deciding where to lay an egg is critical for the survival of insects' offspring. Compared with our understanding of the chemosensory assessment of egg‐laying sites, the mechanisms of texture detection are largely unknown. Here, we show that Bactrocera dorsalis, a notoriously agricultural pest laying its eggs within ripening fruits, can discriminate substrate texture during the egg‐laying process. Exposure to drugs targeting transient receptor potential vanilloid (TRPV) mechanosensory channels abolished their oviposition preference for hard textures. BdorNan and BdorIav are two members of the TRPV subfamily, and their transcripts were detected in the labellum, the foreleg tarsi and the ovipositor. Then, we successfully obtained knockout strains of each gene using the CRISPR/Cas9 technique. The results showed that BdorNan is required for the discrimination of stiffness difference. BdorIav knockout had no significant effect on the ability of B. dorsalis to choose harder substrates. Our study thus reveals that BdorNan plays a substantial role in the texture assessment of egg‐laying behaviour in B. dorsalis. [ABSTRACT FROM AUTHOR]

Agropastoralists in Kenya's Arid and Semi-arid Lands (ASALs) face various shocks that threaten their livelihoods and expose them to significant health and economic risks. While existing studies often focus on climate-related shocks, they frequently overlook other challenges faced by these communities. A comprehensive understanding of how agropastoralists manage diverse shocks is essential to developing effective vulnerability reduction strategies. This study examined the major shocks experienced by agropastoral households in Kenya's ASALs, their primary coping strategies, and the determinants informing the choice of the strategies adopted. Using cross-sectional data from 371 households in Isiolo (203) and Kitui (168) counties, this study applied descriptive analysis and multivariate probit (MVP) models to assess coping strategies and influencing factors. From 2016 to 2021, households faced shocks, such as droughts, livestock pests and diseases, crop pests, theft, and intercommunal conflicts. Regional variations were observed: crop pests were common in Kitui, whereas Isiolo experienced higher theft and conflict rates. Coping strategies include income diversification, asset sales, increased farm labor, and reduced food expenditure. Severe droughts and conflicts led to migration, while floods caused extreme measures such as withdrawing children from school. Key factors influencing coping strategies include household demographics, farm characteristics, and market proximity. Households with more adults, higher literacy, or greater income from crops and livestock are less likely to adopt costly strategies. This study recommends integrated interventions to enhance resilience to both climate and non-climate shocks. [ABSTRACT FROM AUTHOR]

Intercropping is an important practice for controlling crop pests in Ethiopia. However, there is a limited studies on the maize–faba bean intercropping benefits for controlling stemborer (Busseola fusca) pests. This study was carried out at Wukro Agricultural College, Tigray, Ethiopia, to investigate the effects of maize intercrops with two faba bean varieties (Gora and Moti) at three different population levels (25%, 50%, and 75%) of the recommended sole faba bean (250,000 plants ha−1) on infestation, density, and damage of stemborer on maize. The intercrops significantly (p < 0.05) reduced the stemborer infestation, density, and damage on maize over to the sole maize. Maize intercrops with the Gora faba bean variety at a density of 50% lowered the pest damage on maize cobs by 35% relative to the sole maize. The intercrop also reduced the grain yield and economic losses due to the pest by 48% and 53%, respectively, compared to the sole maize. The results recommended that maize intercropped with the Gora faba bean variety at a density of 50% could be used as an alternative farming against stemborer pest in the semiarid farming systems of northern Ethiopia. [ABSTRACT FROM AUTHOR]

Agroecology has recently become an alternative production model that tries to face the negative environmental and socioeconomic consequences of the agricultural model based on excessive agrochemical use and no-tillage practices. It searches for alternatives to pest management so as to increase yields while promoting biodiversity conservation. Our goal was to know the perception and opinion of agroecological farmers of the Pampa region on crop pests, the techniques they use for pest management and their perceptions on biodiversity. A survey was conducted which provided 103 responses. The main pest mentioned was ants. Of farmers surveyed, 64.71% claim that their main pest significantly reduces their yields, 79.42% claim that they monitor their crops for pests, although those with over 25 years of experience tend not to. Farmers have a mostly positive perception of biodiversity, particularly birds even though many identify pigeons and parrots as damaging. These results make it possible to describe the agroecological Pampa farmers and to show some common pest issues that need to be observed to benefit production in the area. The study highlights the importance of biodiversity for these farmers and their willingness to use tools that attract birds that could potentially manage pests. [ABSTRACT FROM AUTHOR]

The growing global food demand, coupled with the limitations of traditional pest control methods, has driven the search for innovative and sustainable solutions in agricultural pest management. In this review, we highlight polymeric nanocarriers for their potential to deliver double-stranded RNA (dsRNA) and control pests through the gene-silencing mechanism of RNA interference (RNAi). Polymer-dsRNA systems have shown promise in protecting dsRNA, facilitating cellular uptake, and ensuring precise release. Despite these advances, challenges such as scalability, cost-efficiency, regulatory approval, and public acceptance persist, necessitating further research to overcome these obstacles and fully unlock the potential of RNAi in sustainable agriculture. Application of RNAi-based technology for crop pest control is hampered by the lacking of efficient system for the delivery of dsRNA molecules to pests or plants. Here, the authors review polymer systems for dsRNA delivery and provide perspectives on their application in sustainable agriculture production. [ABSTRACT FROM AUTHOR]

With the rapid growth of the agricultural information and the need for data analysis, how to accurately extract useful information from massive data has become an urgent first step in agricultural data mining and application. In this study, an agricultural question-answering information extraction method based on the BE-BILSTM (Improved Bidirectional Long Short-Term Memory) algorithm is designed. Firstly, it uses Python's Scrapy crawler framework to obtain the information of soil types, crop diseases and pests, and agricultural trade information, and remove abnormal values. Secondly, the information extraction converts the semi-structured data by using entity extraction methods. Thirdly, the BERT (Bidirectional Encoder Representations from Transformers) algorithm is introduced to improve the performance of the BILSTM algorithm. After comparing with the BERT-CRF (Conditional Random Field) and BILSTM algorithm, the result shows that the BE-BILSTM algorithm has better information extraction performance than the other two algorithms. This study improves the accuracy of the agricultural information recommendation system from the perspective of information extraction. Compared with other work that is done from the perspective of recommendation algorithm optimization, it is more innovative; it helps to understand the semantics and contextual relationships in agricultural question and answer, which improves the accuracy of agricultural information recommendation systems. By gaining a deeper understanding of farmers' needs and interests, the system can better recommend relevant and practical information. [ABSTRACT FROM AUTHOR]

Summary An enormous diversity of specialized metabolites is produced in the plant kingdom, with each individual plant synthesizing thousands of these compounds. Previous research showed that benzoxazinoids, the most abundant class of specialized metabolites in maize, also function as signaling molecules by regulating the production callose as a defense response. We searched for additional benzoxazinoid‐regulated specialized metabolites, characterized them, examined whether they too function in herbivore protection, and determined how Spodoptera frugiperda (fall armyworm), a prominent maize pest, copes with these metabolites. We identified catechol acetylglucose (CAG) as a benzoxazinoid‐regulated metabolite that is produced from salicylic acid via catechol and catechol glucoside. Genome‐wide association studies of CAG abundance identified a gene encoding a predicted acetyltransferase. Knockout of this gene resulted in maize plants that lack CAG and over‐accumulate catechol glucoside. Upon tissue disruption, maize plants accumulate catechol, which inhibits S. frugiperda growth. Analysis of caterpillar frass showed that S. frugiperda detoxifies catechol by glycosylation, and the efficiency of catechol glycosylation was correlated with S. frugiperda growth on a catechol‐containing diet. Thus, the success of S. frugiperda as an agricultural pest may depend partly on its ability to detoxify catechol, which is produced as a defensive metabolite by maize. [ABSTRACT FROM AUTHOR]

ABSTRACT As an egg parasitoid, Trichogramma ostriniae (T. ostriniae) exhibits a broad host range and plays a crucial role in controlling various lepidopteran agricultural pests. However, the application of chemical pesticides negatively impacts its development and survival. Therefore, it is essential to assess the toxicity of commonly used insecticides against T. ostriniae and evaluate their compatibility. This study aims to determine the toxic effects of five common insecticides (dinotefuran, abamectin, imidacloprid, beta‐cypermethrin, and chlorantraniliprole) on the development, reproduction, and enzymatic activity of T. ostriniae. The contact, lethal, and developmental toxicities were evaluated. Activities of detoxification enzymes, including cytochrome P450 (CYP450), carboxylesterase (CarE), and glutathione S‐transferase (GST), and protective enzymes, including superoxide dismutase (SOD), catalase (CAT), peroxidase (POD) as well as malondialdehyde (MDA) and reactive oxygen species (ROS), mitochondrial respiratory chain complex I (MRCC I), adenosine triphosphate (ATP) of T. ostriniae were examined after being treated with the five insecticides. The results showed that the order of lethal toxicity in adult T. ostriniae was beta‐cypermethrin > dinotefuran > imidacloprid > abamectin > chlorantraniliprole. The emergence rates of adult T. ostriniae exposed to insecticides during the egg and larval stages were higher than those exposed to insecticides during the prepupal and pupal stages. The activities of CYP450, GST, and SOD were increased, but CarE activity and ROS content were decreased in T. ostriniae treated with the five insecticides compared with the control. Beta‐cypermethrin increased the POD and CAT activities. Chlorantraniliprole decreased CAT activity and increased MDA content. The MRCCI of T. ostriniae was not significantly affected by any of the five insecticides tested. The ATP content of T. ostriniae was not significantly affected by chlorantraniliprole but was significantly decreased by the other four insecticides. In conclusion, the toxicities of the five insecticides to T. ostriniae were different, among which imidacloprid, dinotefuran, abamectin, and beta‐cypermethrin had a high risk of toxicity to T. ostriniae, and chlorantraniliprole had a low risk to T. ostriniae. [ABSTRACT FROM AUTHOR]

Nearly all insects harbour bacterial communities that can have a profound effect on their life history, including regulating and shaping host metabolism, development, immunity and fitness. The bacteriomes of several coleopterans have been described; however, very little has been reported for wireworms. These long‐lived larvae of click beetles (Coleoptera: Elateridae) are major agricultural pests of a variety of crops grown in the Canadian Prairies. Consequently, the goal of this study was to characterise the bacteriomes of five of the most significant pest species within the region: Limonius californicus, Hypnoidus abbreviatus, H. bicolor, Aeolus mellillus and Dalopius spp. To do this, we collected larvae from southern Manitoba fields (pre‐seeding) and carried out 16S rRNA sequencing on individual specimens. Our results indicate wireworms have diverse and taxon‐rich bacterial communities, with over 400 genera identified predominately from the phyla Proteobacteria, Actinobacteriota, Bacteroidota and Firmicutes. However, each species had nine or fewer genera comprising >80% of their bacteriome. Network analyses revealed some community structuring consistent among species, which may culminate in shaping/regulating host biology. Moreover, the microbial signatures were influenced by both ontogeny (early vs. late stage larvae) and reproductive strategy (sexual vs. parthenogenetic), with a myriad of other factors likely contributing to bacterial diversity that are impossible to resolve from our study. Overall, this metagenomics study represents the first to characterise the bacteriomes of wireworms in the Canadian Prairies and the findings could assist in the development of sustainable management strategies for these important agricultural pests. [ABSTRACT FROM AUTHOR]

Crop diseases and insect pests cause a large amount of economic losses in agricultural production activities, and it is difficult to meet field production requirements of the current society if only relying on manual surveys by agronomist staffs. Applications of the machine vision technology can realize the automatic classification and detection of crop diseases and insect pests, and provide the guarantee for accurate and efficient agricultural productions. However, existing detection methods based on the deep learning framework and convolutional neural networks are constrained by factors such as rigid convolutional receptive field, inefficient data enhancement operator, and small sample size. In order to make up for the above shortcomings of existing detection technologies in term of recognition accuracy, a method for the classification of agricultural economic crop diseases and insect pests based on the masked autoencoding learning paradigm is proposed in this study. Through local random content masking, semantic feature extraction, and global context reconstruction of high-dimensional mapping of input crop images, the proposed algorithm can fully mine implicit representations of high-level semantics of images and model the long distance contextual relationship in the same map, so as to train a more robust model with less data samples. Moreover, the model eliminates the interference of the high-frequency noise on the pretraining feature extraction processing by the relative total variational transformation. The results of comparison between the proposed method and current methods based on mainstream convolutional networks show that the proposed method can significantly improve the performance of existing methods, and the accuracy rate is improved from 90.48% to 95.24% based on ResNet50 benchmark network. [ABSTRACT FROM AUTHOR]

Acetyl-coenzyme A carboxylases (ACCs) are pivotal in fatty acid metabolism, converting acetyl-CoA to malonyl-CoA. While ACCs in humans, plants, and microbes have been extensively studied, insect ACCs, crucial for lipid biosynthesis and physiological processes, remain relatively unexplored. Unlike mammals, which have ACC1 and ACC2 in different tissues, insects possess a single ACC gene, underscoring its unique role in their metabolism. Noctuid moths, such as Trichoplusia ni, are major agricultural pests causing significant crop damage and economic loss. Their resistance to both biological and synthetic insecticides complicates pest control. Recent research has introduced cyclic ketoenols as novel insecticides targeting ACCs, yet structural information to guide their design is limited. Here, we present a 3.12 Å cryo-EM structure of the carboxyltransferase (CT) domain of T. ni ACC, offering the first detailed structural insights into insect ACCs. Our structural comparisons with ACC CT domains from other species and analyses of drug-binding sites can guide future drug modification and design. Notably, unique interactions between the CT and the central domain in T. ni ACC provide new directions for studying the ACC holoenzyme. These findings contribute valuable information for pest control and a basic biological understanding of lipid biosynthesis. [ABSTRACT FROM AUTHOR]

The global decline in insect biomass has far‐reaching implications for terrestrial and freshwater food webs, impacting species reliant on insects as a crucial component of their diet. This issue extends to species traditionally considered agricultural pests, such as the common cockchafer Melolontha melolontha. In the race to combat cockchafers through collection, insecticide use, and other control methods, the repercussions of their numerical fluctuations on predators, including species of high conservation importance like bats, have been largely overlooked. Drawing on 31‐years of monitoring data for a greater horseshoe bat Rhinolophus ferrumequinum population in the Aosta Valley (Western Italian Alps), we investigated whether annual fluctuations in bat counts are influenced by cockchafer availability and weather conditions. Despite an overall positive trend in bat abundance, we observed pronounced annual fluctuations, mostly driven by cockchafer availability rather than variations in temperature and precipitation. Furthermore, we found a significant association between cockchafer availability and the median date of birth and birth rate of bats. Births occurred approximately 5 days earlier in cockchafer flight years, with earlier births also linked to warmer spring temperatures and higher numbers of warm days in April. Moreover, the ratio pups/older bats was 0.56 in cockchafer flight years, compared to 0.47 in other years. Our results underscore the importance of considering predator–prey dynamics when examining the long‐term population trends of species of conservation concern. We recommend implementing restrictions on the use of chemicals and other potentially harmful practices that may diminish prey abundance or quality, including that of species considered as agricultural pests. In designing conservation strategies, a delicate balance should be struck between the current interests of farmers and the overarching goal of preserving biodiversity against potential future threats. [ABSTRACT FROM AUTHOR]

Chitin, the second most abundant biopolymer after cellulose, is an important resource for biosourced materials. The global demand for chitin is rapidly increasing, however, the majority of industrial chitin is sourced from crustacean shells, which may be less accessible in regions without seafood waste. Therefore, it is crucial to explore alternative chitin sources, such as those derived from beetles and other arthropods. This study investigated chitin extraction from nine species of Curculionidae (true weevils), which are recognized as crop pests. The extraction process and yields were described, and the isolated chitin was characterized by SEM, IR spectroscopy, elemental analysis, XRD, and ash and water content measurements. This work highlights the potential of Curculionidae as an alternative chitin source. [ABSTRACT FROM AUTHOR]

The increasing global reliance on pesticides for agricultural pest control has raised significant environmental concerns, particularly due to inadequate monitoring of emerging chemicals in surface waters. This study addresses the potential contamination of aquatic ecosystems by developing and validating a method for detecting trace amounts of four recently registered fungicides: three succinate dehydrogenase inhibitors (fluopyram, penthiopyrad, pydiflumetofen) and fluopicolide, a structurally related fungicide. Employing QuEChERS-based sample extraction combined with ultra-high-performance liquid chromatography (UHPLC-MS-MS), this method achieves detection limits of 0.1 to 0.2 μg/L, with recovery rates between 90% and 110%, and intra-day relative standard deviation values well within the acceptable range of less than 20%. Applied to surface grab water samples from the greater Melbourne area, Australia, the method successfully identified all four fungicides at trace levels, including a notable high concentration of fluopyram (7.3 μg/L) during autumn, with the others intermittently detected at lower concentrations. This study represents the first documented instance of quantifiable detections of these four fungicides in Australian surface water systems. Given their high toxicity to several organisms and the limited global data on these substances, our findings underscore the critical need for continuous monitoring to inform strategies to safeguard aquatic ecosystems from these chemicals. [ABSTRACT FROM AUTHOR]

Micromus angulatus (Neuroptera: Hemerobiidae) is a widely distributed and highly effective predator that shows promise as a biological control agent against agricultural pests, particularly Aphis craccivora, the cowpea aphid, which threatens leguminous crops globally. This study aimed to evaluate the predation behaviour, search efficiency, and intraspecific interference of M. angulatus at different developmental stages, including first- to third-instar larvae and adults, in controlling adult A. craccivora populations. The results demonstrated that all developmental stages of M. angulatus exhibited predatory behaviour towards adult aphids, with the functional response fitting the Holling Type II model. The instantaneous attack rates for first-, second-, and third-instar larvae and adults were 1.0017, 1.0448, 0.9581, and 0.9508, respectively; the handling times were 0.0158, 0.0051, 0.0016, and 0.0011 days, respectively; and the theoretical maximum daily predation rates were 63.2911, 196.0784, 625, and 909.0909 aphids, respectively. The pest control efficacies were 63.3989, 204.8672, 598.8311, and 864.3192, respectively. The search efficiency at each developmental stage was negatively correlated with aphid density, which decreased as the prey density increased, with second-instar larvae showing the greatest decrease and adults the least. When the aphid density was fixed, the daily predation rate of individual M. angulatus decreased with increasing conspecific density, indicating that predation was affected by its own density, with the interference effect equation being E = 0.6194P−0.87. These findings indicate that M. angulatus, especially in the third-instar larval and adult stages, has considerable potential as a biological control agent for managing A. craccivora populations in agricultural settings. This study contributes valuable insights for developing sustainable agricultural practices by decreasing reliance on chemical pesticides. [ABSTRACT FROM AUTHOR]

Simple Summary: The widespread use of broad-spectrum insecticides reduces the capabilities of ecological self-regulation of phytophages in agrocoenoses and in the adjacent natural territories. Those ecosystems suffer disruption of trophic relations that have been forming over long periods of time. At the same time, the numbers of non-target invertebrates affected by pesticides are declining. Pirimiphos-methyl is one of the cheapest, most effective, and widely used insecticides in the world. Its effect on invertebrate species is useful for agriculture; however, its effect on arthropods that improve soil fertility remains virtually unstudied. This article establishes that this insecticide can have a strong effect on some species useful for plant growing and a weak effect on others. As a result of such an effect of pirimiphos-methyl, the taxonomic structure of invertebrate communities in agrocenoses should change dramatically. The use of this insecticide in fields gives an advantage to species that are relatively more resistant to it and causes a faster disappearance of sensitive invertebrate species. The effects of pirimiphos-methyl have previously been assessed on blood-sucking insect species, pollinating insects, and target crop pest species. The sensitivity of non-target zoophagous and saprophage species to this insecticide remains largely unstudied. In laboratory conditions, we assessed the susceptibility of 43 species of invertebrates to pirimiphos-methyl. The most tolerant species to this insecticide were Pyrrhocoris apterus (LC50 measured over 60 mg/m2), Cylindroiulus truncorum, Pterostichus niger, Harpalus rufipes, Lithobius forficatus, and Carabus hortensis (LC50 ranged from 25 to 50 mg/m2). Average tolerance to pirimiphos-methyl was displayed by Ophonus rufibarbis, Teuchestes fossor, Silpha carinata, Badister sodalis, Rugilus rufipes, Phosphuga atrata, Porcellio laevis, Pterostichus oblongopunctatus, Aphodius foetens, Lasius fuliginosus, Oxypselaphus obscurus, Platydracus fulvipes, Myrmica ruginodis, Xantholinus tricolor, and Megaphyllum sp. (LC50 for those species ranged from 12 to 24 mg/m2). Higher sensitivity to this insecticide was seen for Amara nitida, Leistus ferrugineus, Harpalus xanthopus winkleri, Philonthus nitidus, Pterostichus melanarius, Harpalus latus, Limodromus assimilis, Philonthus decorus, Tachinus signatus, Ponera coarctata, Carabus convexus, Philonthus coprophilus, Philonthus laevicollis, Platydracus latebricola, Labia minor, and Carabus granulatus (LC50 for those species ranged from 6 to 12 mg/m2). The greatest sensitivity to pirimiphos-methyl was observed in Hister fenestus, Drusilla canaliculata, Bisnius fimetarius, Oxytelus sculptus, Lasius niger, and Lasius flavus (LC50 ranged from 0.4 to 6 mg/m2). We found a relationship between the parameters of bodies of invertebrates (the average body length and dry body mass) and sensitivity to pirimiphos-methyl. With an increase in body sizes of invertebrates, the tolerance to the insecticide increased (per each mm of body length, LC50 increased by 0.82 mg/m2 on average). We identified no relationship between the trophic specialization and sensitivity to the insecticide. [ABSTRACT FROM AUTHOR]

Simple Summary: This study extended the use of Track 3D trajectory instruments to investigate the previously unobserved nocturnal activities of Spodoptera frugiperda (Lepidoptera: Noctuidae), a species of moth Noctuidae. The results indicate that flying and wing flapping are the most common activities, with observed flight patterns including parabolic, circular, and zigzag trajectories. Spodoptera frugiperda, also known as the fall armyworm (FAW), is classified by the Food and Agriculture Organization of the United Nations (FAO) as a major agricultural pest. By gaining a more nuanced understanding of the fall armyworm's courtship behavior, simpler and more environmentally friendly methods of controlling this pest can be developed. This study used the Track 3D system to meticulously record and describe the activity characteristics and patterns of adult males and females during courtship. The results show that adult FAWs engaged in a variety of activities during courtship that were either discrete (flying, flapping, moving, and crawling), continuous (flapping + flying, flapping + crawling, and flying + crawling), or combined (flapping + touching + flapping; flying + touching + flying). Flying and flapping were the most common activities, with observed flight patterns consisting of parabolic, circular, and zigzag trajectories. The peak activity times for adult FAWs are mainly concentrated at 11:00 p.m., 3:00 a.m., and 5:00 a.m., providing fundamental data for the precise attraction and control of adult FAWs at later stages. [ABSTRACT FROM AUTHOR]

Simple Summary: Several thrips species (Hymenoptera: Thripidae) are important agricultural pests of many crops around the world. In Florida, the invasive chilli thrips, Scirtothrips dorsalis Hood, originating from Southeast Asia, is an important pest of blueberries and strawberries. Growers around the state rely mainly on insecticides to manage S. dorsalis populations; however, S. dorsalis is currently showing reduced susceptibility to selected insecticides. To expand the management options for S. dorsalis, we investigated the efficacy of utilizing flowering plants (banker plants) to attract naturally occurring biological control agents (predators) in a strawberry field to suppress S. dorsalis populations. Among the tested banker plants, ornamental pepper and sweet alyssum emerged as promising candidates given their ability to continuously produce flowers that attracted thrips predators throughout the growing season. Overall, we identified two potential thrips predators (Geocoris spp. and Orius spp.) that were attracted by the banker plants; however, their numbers were too low to effectively suppress S. dorsalis populations. These results showed that sweet alyssum and ornamental pepper may serve as insectary plants to support the establishment of Orius and Geocoris species in the field. Further research should focus on the release of commercially available Orius species on the banker plants early in the season to facilitate population buildup of the predator and enable the suppression of S. dorsalis on strawberry plants. Since 2015, Scirtothrips dorsalis Hood has emerged as the main pest of strawberries in Florida. Given the limited management options, there is a recognized need to expand on the management strategies for this pest. Therefore, we explored the possibility of using banker plants to recruit naturally occurring predators of thrips into strawberry fields to suppress S. dorsalis. The study began in the 2021–2022 strawberry season where five banker plants were screened to determine which ones could consistently attract thrips predators by flowering throughout the strawberry season. Capsicum annum L. (ornamental pepper) and Lobularia maritima L. (sweet alyssum) were selected for further evaluation. In the 2022–2023 strawberry season, using a randomized complete block design we assessed the capability of these banker plants to attract thrips predators into the strawberry field. In addition, we examined how the banker plant distance from the strawberry plants influenced the S. dorsalis pest suppression. Our results showed that strawberries located within 3.7 m of ornamental pepper plants had less leaf damage from S. dorsalis compared with those farther away, which may result from the repellent effect of the ornamental peppers. Additionally, Geocoris spp. and Orius spp. were identified as the main thrips predators in the system, although in relatively low numbers. Therefore, these results highlight the potential of incorporating ornamental pepper as a banker plant in strawberry production. Additional applications of this research are explored below. [ABSTRACT FROM AUTHOR]

Simple Summary: Lygus pratensis transfers frequently between cotton and different host plants, harms a wide range of crops, possesses a strong dispersal ability, and poses great difficulty in predicting pests, but its flight ability and the factors that affect it are not well understood. We found that Lygus pratensis possesses strong flight ability, that the strength of flight ability is affected by the temperature and relative humidity of the environment, and that an unsuitable environment will greatly reduce the flight ability. Furthermore, we found that flight ability will be enhanced and then weakened with the increase in age, that the flight ability of females is slightly stronger than that of males, and that mating will increase the flight ability of females and weaken the flight ability of males. The above results can provide a basis for predicting the spreading range of Lygus pratensis in different seasons or different reproductive periods. Lygus pratensis (Linnaeus) is an important agricultural pest with a strong ability to move and spread between hosts. However, L. pratensis' flight potential and factors affecting its flight ability are unclear. We used the insect flight information system (flight mill) to determine the effects of temperature, humidity, age, sex, and mating on L. pratensis' flight ability in an artificial climate chamber. Temperature and relative humidity significantly affected L. pratensis' flight ability; however, low and high temperature, as well as low humidity, were unsuitable, and the optimal flight environment was 20–28 °C and 60–75% RH. Lygus pratensis' flying ability initially increased and then decreased with age and was highest at 10 days old (flight rate: 71.43%; total flight distance: 18.63 ± 1.89 km; total flight time: 6.84 ± 0.60 h). At 15 days old, flight speed was the highest (3.36 ± 0.18 km h−1). Sex had little effect on L. pratensis' flying ability; it was marginally stronger for females than males, but the difference was insignificant. Mating increased female flying ability but decreased that of males, but the difference was insignificant. Overall, L. pratensis had strong flight dispersal ability, was largely unaffected by sex and mating, and optimal flight conditions were mild temperature and humidity. This knowledge provides a scientific basis for L. pratensis outbreak prediction, prevention, and control. [ABSTRACT FROM AUTHOR]

Simple Summary: Drosophila suzukii (Diptera: Drosophilidae) is an invasive pest that lays eggs in ripe fruits. The short generation time, high fertility, and wide host range allows this species to cause important yield losses. Essential oils, extracted from a number of plant species, have been studied for their attractiveness to and deterrence of D. suzukii. In this study, we found clary sage oil exhibited dose-dependent repellency against both D. suzukii adults and larvae. Also, we identified that linalyl acetate and linalool were two major constituents of clary sage oil by GC-MS. Furthermore, we detected that both linalyl acetate and linalool repelled D. suzukii adults and larvae. In addition, we examined the electroantennography (EAG) responses of D. suzukii to clary sage oil, linalyl acetate, and linalool. These results suggest clary sage oil and its constituents linalyl acetate and linalool could be potential repellents for the management of D. suzukii. Drosophila suzukii (Diptera: Drosophilidae), spotted-wing drosophila, poses a significant threat to soft-skinned fruit crops in the Americas, Europe, Africa, and Oceania, as well as in Asia. The application of chemical insecticides is the primary control strategy for D. suzukii; however, resistance has developed with the indiscriminate use of chemical insecticides. Essential oils, considered potential alternatives to pesticidal strategies, exhibit potent toxic and sublethal behavioral effects against numerous pests, including D. suzukii. Clary sage oil repels a variety of agricultural and household pests; however, whether it has a repellent effect against D. suzukii remains unknown. Here, we found that clary sage oil exhibited dose-dependent repellency against D. suzukii adults in a T-maze assay, a two-choice assay and a two-choice attraction assay. Also, clary sage oil showed a significant repellent effect against D. suzukii larvae. Next, we explored the chemical constituents of clary sage oil by GC-MS and identified two major constituents, linalyl acetate (40.03%) and linalool (23.02%). Furthermore, the behavioral assays of linalyl acetate and linalool showed that both compounds conferred comparable repellency against D. suzukii adults and larvae. Finally, we found clary sage oil, linalyl acetate, and linalool elicited EAG responses in D. suzukii, especially clary sage oil, suggesting the repellency was mediated by the olfactory system. These findings indicate that D. suzukii shows olfactory-based behavioral avoidance of clary sage oil, linalyl acetate, and linalool. Clary sage oil and its major constituents may be possible alternatives in the management of D. suzukii. [ABSTRACT FROM AUTHOR]

The coconut rhinoceros beetle (CRB, Oryctes rhinoceros) is a palm tree pest capable of rapidly expanding its population in new territories. Previous studies identified a digestive symbiosis between CRB and its gut microbes. However, no research compared the genetic variation of CRBs with their hindgut microbiota on a global scale. This study aims to investigate the genetic divergence of CRB and the compositional variation of CRB's microbiota across different geographical locations, and explore the association between them and their predicted functional profiles and environmental data. The research reveals a distinct and consistent microbial community within local populations, but it varies across different geographical populations. The microbial functional profiles linked to the production of digestive enzymes, including cellulases and ligninases, are nonetheless globally conserved. This suggests that CRBs employ specific mechanisms to select and maintain microbes with functional benefits, contributing to host adaptability, stress tolerance, and fitness. The CRB microbial communities did not appear to recapitulate the genetic variation of their hosts. Rather than depend on obligate symbionts, CRBs seem to establish similar digestive associations with whatever environmentally acquired microbes are available wherever they are, aiding them in successfully establishing after invading a new location. IMPORTANCE Coconut rhinoceros beetles (CRBs) are notorious pests on Arecaceae plants, posing destructive threats to countries highly reliant on coconut, oil palm, and date palm as economic crops. In the last century, CRBs have rapidly expanded their presence to territories that were once free of these beetles. The United States, for instance, has officially designated CRBs as invasive and alien pests. Given their remarkable ability to swiftly adapt to new environments, their gut microbes may play a crucial role in this process. While the microbiota of CRBs vary depending on geographical location, these beetles consistently exhibit a functionally identical digestive association with locally acquired microbes. This underscores the significance of CRB-microbe association in shaping the adaptive strategies of this agricultural pest. [ABSTRACT FROM AUTHOR]

Carbofuran was once a highly toxic carbamate pesticide widely used in the prevention and control of pests in the agricultural field. In recent years, the problem of excessive residues of carbofuran in agricultural products has been reported, posing a great threat to human beings, mammals, and the environment. The maximum permitted levels of carbofuran in food have been established under different legislations worldwide. Therefore, it is necessary to strengthen supervision and rapid detection of carbofuran residues in food. Due to its high solubility and high yield, nanobody has been paid more attention in recent years. To further improve their sensitivity and stability to meet the demands of actual detection, the Nb5 was selected for in vitro evolution research. The structure models of Nb5 were constructed based on AlphaFold and verified by Ramachandran Plot, ERRAT, and Verify 3D. The key amino acid sites of Nb5/carbofuran were determined by LeadIT software and alanine scanning. The result showed that the carbofuran molecule was inserted into the pocket composed of CDR2, CDR3, and FR3. Nb5 and carbofuran were driven by hydrogen bonds and hydrophobic forces. Based on the confirmed mutation sites (Arg56, Trp58, Thr101, Val102, Ala103, Asp104, Cys105), a phage display saturation mutation library was established to screen mutants, and their performance was characterized. The IC50 of H10 was 17.6 ng/mL, the sensitivity was twice compared with that of the wild type Nb5, and the affinity constant was 1.54 x 106 L/mol. This study provides an effective idea for the affinity maturation of nanobodies against small molecule drugs in vitro. [ABSTRACT FROM AUTHOR]

Simple Summary: Pesticides have become essential to control agricultural pests such as weeds, insects, nematodes, bacteria, and fungi, which increases the risk of their transmission to animals through the feed produced from these crops. Among these pesticides, the most widely used is malathion (MOP). It exerts its toxicity through the inhibition of acetylcholinesterase (AChE), an important presynaptic enzyme that terminates nerve impulses by hydrolyzing neurotransmitter acetylcholine. This study highlights the biochemical and histological hazardous reactions of MOP and the detoxifying efficacy of thyme (TEO) and oregano (OEO) essential oils by measuring enzyme-specific activity for Cytochrome P450 1A2 (CYP1A2) in order to reduce environmental hazards. Such knowledge would be the key step toward developing potentially unique treatment options for natural antitoxins. This may allow the livestock sector to increase production and ensure animal welfare and product health and safety. The widespread use of malathion may offer several hazards to humans and animals; additionally, many medicinal plants provide what is known as a broad antitoxicity treatment. This study was carried out to investigate hazardous biochemical and histological reactions to MOP and evaluate the effectiveness of TEO and OEO essential oils in restoring normal physiological conditions after MOP exposure by measuring enzyme-specific activity for Cytochrome P450 1A2 (CYP1A2). One hundred and twenty rats were divided into six groups of twenty animals each: (i) C − MOP served as the control group, (ii) C + MOP treated with 5 mg/kg/BW of Malathion-D10, (iii) TEO treated with 100 mg/kg/BW of oregano essential oil, (iv) TEO treated with 100 mg/kg/BW of thyme essential oil, (v) MOP + OEO treated with 5 mg/kg/BW of Malathion-D10 and 100 mg/kg/BW of oregano essential oil, and (vi) MOP + TEO treated with 5 mg/kg/BW of Malathion-D10 and 100 mg/kg/BW of thyme essential oil. The results indicated the protective effects of OEO and TEO against MOP-induced weight loss. Additionally, there was a significant improvement in ALT, AST, and ALK-Ph after being treated with OEO and TEO, either alone or after MOP exposure. Also, treatment with OEO and TEO ameliorated these oxidative stress parameters, indicating their antioxidative properties. A histopathological examination of liver tissues showed reduced hepatocellular damage and improved liver architecture in the OEO and TEO, both alone and in combination with MOP, and protective effects were more pronounced in the TEO-treated groups. However, the results indicated that TEO was more effective than OEO in increasing CYP1A2 expression and alleviating MOP-induced toxicity. Specifically, TEO showed higher protein expression and therapeutic action in reducing liver damage. In conclusion, these findings suggest that OEO and TEO may be potent therapeutic agents against MOP toxicity, offering protective effects by enhancing CYP1A2 activity and mitigating organ damage. Such knowledge would be an important step toward developing potentially unique treatment options for natural antitoxins. [ABSTRACT FROM AUTHOR]

Effective pest population monitoring is crucial in precision agriculture, which integrates various technologies and data analysis techniques for enhanced decision-making. This study introduces a novel approach for monitoring lures in traps targeting the Mediterranean fruit fly, utilizing air quality sensors to detect total volatile organic compounds (TVOC) and equivalent carbon dioxide (eCO2). Our results indicate that air quality sensors, specifically the SGP30 and ENS160 models, can reliably detect the presence of lures, reducing the need for frequent physical trap inspections and associated maintenance costs. The ENS160 sensor demonstrated superior performance, with stable detection capabilities at a predefined distance from the lure, suggesting its potential for integration into smart trap designs. This is the first study to apply TVOC and eCO2 sensors in this context, paving the way for more efficient and cost-effective pest monitoring solutions in smart agriculture environments. [ABSTRACT FROM AUTHOR]

The agricultural pest Drosophila suzukii exhibits a strong preference for feeding on fresh fruits, demonstrating high adaptability to sugary environments. Meanwhile, high sugar levels stimulate insulin secretion, thereby regulating the steady state of sugar metabolism. Understanding the mechanisms related to sugar metabolism in D. suzukii is crucial due to its adaptation to these specific environmental conditions. The insulin signaling pathway is an evolutionarily conserved phosphorylation cascade with significant roles in development and metabolism. We observed that the activation of the insulin signaling pathway inhibited FoxO activity and downregulated the expression of Pepck, thereby activating glycolysis and reducing glucose levels. By contrast, inhibiting insulin signaling increased the FoxO activity and upregulated the expression of Pepck, which activated gluconeogenesis and led to increased glucose levels. Our findings demonstrated the crucial role of the insulin signaling pathway in mediating glucose metabolism through the FoxO–Pepck axis, which supports the ecological adaptation of D. suzukii to high-sugar niches, thereby providing insights into its metabolic control and suggesting potential strategies for pest management. Elucidating these molecular processes is important for understanding metabolic regulation and ecological specialization in D. suzukii. [ABSTRACT FROM AUTHOR]

Agricultural pests can develop behavioral resistance to insecticides by choosing to feed or oviposit on insecticide‐free hosts. As young larvae have relatively low mobility, oviposition preferences from female adults may play a critical role in shaping the evolutionary trajectory of pest populations. While oviposition avoidance of insecticide‐treated hosts was found in different agriculture pests, it remains unclear whether female adults actively choose to occupy insecticide‐free hosts. To address this question, we investigated feeding and oviposition preferences between imidacloprid‐treated and imidacloprid‐free plants in the Colorado potato beetle, Leptinotarsa decemlineata Say, a major potato pest. We performed behavioral choice assays on two strains that differed in both fecundity and insecticide resistance. We found that one strain preferred to feed on the insecticide‐free plants and that this preference is not innate. Meanwhile, the other strain chose plants for feeding and oviposition randomly. Further analyses of the moving patterns of the beetles suggested that the oviposition preference in the first strain is likely due to active learning. [ABSTRACT FROM AUTHOR]

Aphids, the important global agricultural pests, harbor abundant resources of symbionts that can improve the host adaptability to environmental conditions, also control the interactions between host aphid and natural enemy, resulting in a significant decrease in efficiency of biological control. The facultative symbiont Serratia symbiotica has a strong symbiotic association with its aphid hosts, a relationship that is known to interfere with host–parasitoid interactions. We hypothesized that Serratia may also influence other trophic interactions by interfering with the physiology and behavior of major predators to provide host aphid defense. To test this hypothesis, we investigated the effects of Serratia on the host aphid Acyrthosiphon pisum and its predator, the ladybeetle Propylaea japonica. First, the prevalence of Serratia in different A. pisum colonies was confirmed by amplicon sequencing. We then showed that harboring Serratia improved host aphid growth and fecundity but reduced longevity. Finally, our research demonstrated that Serratia defends aphids against P. japonica by impeding the predator's development and predation capacity, and modulating its foraging behavior. Our findings reveal that facultative symbiont Serratia improves aphid fitness by disrupting the predation strategy of ladybeetle larvae, offering new insight into the interactions between aphids and their predators, and providing the basis of a new biological control strategy for aphid pests involving the targeting of endosymbionts. [ABSTRACT FROM AUTHOR]

Botanical insecticides are the origin of all insecticidal compounds. They have been widely used to control pests in crops for a long time. Currently, the commercial production of botanical insecticides extracted from plants is limited because of insufficient raw material supply. Synthetic biology is a promising and effective approach for addressing the current problems of the production of botanical insecticides. It is an emerging biological research hotspot in the field of botanical insecticides. However, the biosynthetic pathways of many botanical insecticides are not completely elucidated. On the other hand, the cytotoxicity of botanical pesticides and low efficiency of these biosynthetic enzymes in new hosts make it still challenging for their heterologous production. In the present review, we summarized the recent developments in the heterologous production of botanical insecticides, analyzed the current challenges, and discussed the feasible production strategies, focusing on elucidating biosynthetic pathways, enzyme engineering, host engineering, and cytotoxicity engineering. Looking to the future, synthetic biology promises to further advance heterologous production of more botanical pesticides. [ABSTRACT FROM AUTHOR]

The use of pathogens and other natural enemies to suppress pest populations is a key component of integrated pest management (IPM) strategies. As biocontrol agents may interact synergistically, additively, or antagonistically, it is crucial to assess their interactions for effective pest management. In this study, we investigated the effect of three entomopathogenic fungus (EPF) species—Beauveria bassiana (Bals.‐Criv.) Vuill. CEP 091, Akanthomyces muscarius (Petch) Spatafora, Kepler & B. Shrestha CEP 182, and Cordyceps fumosorosea (Wize) Kepler, B. Shrestha & Spatafora CEP 315 (all Hypocreales)—on the survival, fecundity, and searching behavior of Orius insidiosus (Say) (Hemiptera: Anthocoridae). All three EPF species were found to be pathogenic to O. insidiosus, resulting in a significant decrease in survival compared with the control group. Fecundity remained unaffected by the fungal treatments. No effect of EPF on searching behavior of the predator was found. In relation to the searching behavior, individuals of 2 days post‐infections remained in the food patch longer than individuals of 7 days post‐infections, regardless of treatment. These findings provide valuable insights into the compatibility of EPF and O. insidiosus as combined biocontrol agents for managing whiteflies, aphids, and thrips. Understanding the interactions between EPF and predatory insects is crucial for developing IPM strategies that maximize pest control efficacy. Further studies should explore the long‐term effects of EPF on O. insidiosus populations and their overall impact on pest management in agricultural systems. [ABSTRACT FROM AUTHOR]

Zoophytophagous predators can be beneficial for controlling crop pests in greenhouses. Yet, they can also cause significant economic damage. More zoophagous and effective predator lines can be developed by selectively breeding highly zoophagous individuals. Hence, artificial selection based on the degree of zoophagy in zoophytophagous predators can improve their efficiency as biocontrol agents while reducing the risk of crop damage. However, artificial selection on zoophagy could cause changes in other behavioral or life history traits due to genetic correlation or pleiotropy. These changes can affect the ecological conditions in which biological control agents work. We created highly and lowly zoophagous lines of Dicyphus hesperus Knight (Hemiptera: Miridae) using artificial selection. We tested genetic correlations between zoophagy and food patch exploitation equity in four generations of artificial selection. The results revealed that females were more zoophagous than males. The broad sense heritability (H2) of zoophagy was 0.38 in females and 0.29 in males. Artificial selection on zoophagy led to decreased food patch exploitation equity, yet the traits were not genetically correlated. Our results suggest that artificial selection can be used to develop lines of D. hesperus that enhance the benefits of biological control and modify ecological factors such as prey density and distribution. [ABSTRACT FROM AUTHOR]

Agricultural insect pests (AIPs) are widely successful in adapting to natural and anthropogenic stressors, repeatedly overcoming population bottlenecks and acquiring resistance to intensive management practices. Although they have been largely overlooked in evolutionary studies, AIPs are ideal systems for understanding rapid adaptation under novel environmental conditions. Researchers have identified several genomic mechanisms that likely contribute to adaptive stress responses, including positive selection on de novo mutations, polygenic selection on standing allelic variation and phenotypic plasticity (e.g., hormesis). However, new theory suggests that stress itself may induce epigenetic modifications, which may confer heritable physiological changes (i.e., stress‐resistant phenotypes). In this perspective, we discuss how environmental stress from agricultural management generates the epigenetic and genetic modifications that are associated with rapid adaptation in AIPs. We summarise existing evidence for stress‐induced evolutionary processes in the context of insecticide resistance. Ultimately, we propose that studying AIPs offers new opportunities and resources for advancing our knowledge of stress‐induced evolution. [ABSTRACT FROM AUTHOR]

China is a large agricultural country, and the crop economy holds an important place in the national economy. The identification of crop diseases and pests, as well as the non-destructive classification of crops, has always been a challenge in agricultural development, hindering the rapid growth of the agricultural economy. Hyperspectral imaging technology combines imaging and spectral techniques, using hyperspectral cameras to acquire raw image data of crops. After correcting and preprocessing the raw image data to obtain the required spectral features, it becomes possible to achieve the rapid non-destructive detection of crop diseases and pests, as well as the non-destructive classification and identification of agricultural products. This paper first provides an overview of the current applications of hyperspectral imaging technology in crops both domestically and internationally. It then summarizes the methods of hyperspectral data acquisition and application scenarios. Subsequently, it organizes the processing of hyperspectral data for crop disease and pest detection and classification, deriving relevant preprocessing and analysis methods for hyperspectral data. Finally, it conducts a detailed analysis of classic cases using hyperspectral imaging technology for detecting crop diseases and pests and non-destructive classification, while also analyzing and summarizing the future development trends of hyperspectral imaging technology in agricultural production. The non-destructive rapid detection and classification technology of hyperspectral imaging can effectively select qualified crops and classify crops of different qualities, ensuring the quality of agricultural products. In conclusion, hyperspectral imaging technology can effectively serve the agricultural economy, making agricultural production more intelligent and holding significant importance for the development of agriculture in China. [ABSTRACT FROM AUTHOR]

The complete mitochondrial genome of the shining leaf chafer Mimela junii was sequenced and is herein described. The mitogenome consists of a circular molecule of 16,805 bp, with an overall AT content of 75.7%. It encodes for 13 protein-coding genes (PCGs), 22 transfer RNA genes (tRNAs), two ribosomal RNA genes (rRNAs) and contains a non-coding Control Region (CR) characterized by the presence of tandem repeats. The gene order corresponds to the ancestral Pancrustacea model and mitogenome characteristics are congruous with those of hexapods. In the phylogenetic analysis, M. junii is nested within a paraphyletic Anomala with high support, and is herein associated with Anomala corpulenta with medium/low support. [ABSTRACT FROM AUTHOR]

Pest management is pivotal for ensuring secure grain production and constitutes a fundamental strategy in combating pests that detrimentally affect grain supplies. Given the complexity and dynamic nature of pests, it is imperative that farmers implement coordinated prevention and control strategies. Such measures are essential to augment the efficacy of these efforts and to reduce the risks posed by pests to agricultural crops. This research involved a survey of 1205 agricultural households spanning three representative provinces in Northwestern China. By employing an endogenous switching Probit model and addressing sample selection bias, the study investigates the influence of social learning on the adoption of cooperative pest control strategies by farmers. The findings indicate that social learning significantly enhances farmers' adoption of cooperative pest control measures. In a counterfactual scenario, introducing social learning to farmers previously unexposed to it would result in a 10.3% increase in the likelihood of adopting these practices. Additionally, factors such as the health status of the household head, income level, and size of land under management are critical determinants of farmers' participation in social learning. The differential access to scientific, accurate, and systematic information, coupled with resource disparities among farmers, can partially account for the varying average treatment effects observed in different learning methods on the propensity to adopt cooperative pest control practices. Furthermore, social learning plays a crucial role in fostering such adoption by establishing trust among farmers, facilitating consensus in decision-making, and enhancing the dissemination of information. [ABSTRACT FROM AUTHOR]

Zeugodacus tau (Walker) (Diptera: Tephritidae) is an important agricultural pest currently managed primarily through the application of insecticides due to limited control strategies. Bait station devices are target specific and have emerged as a behaviorally based alternative to traditional insecticide sprays for managing Z. tau. In this study, we designed a bait station by integrating female-biased olfactory, visual, and gustatory elements, and a killing agent in a wax-matrix. Our results showed that the wax-matrix integrated with spinetoram showed the highest toxicity to immature and mature Z. tau females. Furthermore, the color and shape of the spinetoram bait station significantly influenced its attractiveness and toxicity to female Z. tau. Green sausage-shaped exteriors were the most effective color and shape examined. Subsequent experiments showed a length-dependent effect on mortality and visiting frequencies of Z. tau females when the bait stations were 9–13 cm long. The addition of the olfactory stimulus of 5% ammonium acetate to the bait station attracted a higher number of mature Z. tau females than the control. The killing efficacy of the weathered bait station was similar to that of the fresh station within an 8-week period (over 794 mm of rainfall). The bait station developed herein would provide new insight into the attract-and-kill strategy for Z. tau and alleviate the pressure of the actual management program for this pest. [ABSTRACT FROM AUTHOR]

Onion thrips, Thrips tabaci Lindeman, is a global pest of onion crops, causing substantial economic damage by diminishing bulb yields and transmitting plant pathogens. Insecticides are used to manage T. tabaci infestations with control decisions traditionally based on action thresholds that require visually counting thrips on a fixed, predetermined number of onion plants per field. However, this approach for treatment decisions is inefficient when thrips populations are well above or below the action threshold. The aim of this research was to develop a sequential sampling plan that would provide a rapid and reliable classification of thrips populations in commercial onion fields above or below prespecified management thresholds. The study was conducted in a total of 24 commercial onion fields in New York in 2021 and 2022. Taylor's power law and Wald's Sequential Probability Ratio Test were used in concert to develop each sampling plan. Simulated and historical field data of thrips populations were used to further validate the efficacy of each sampling plan. Results demonstrated the sequential sampling plan required an average of 78% fewer samples to make a control decision compared with the traditional fixed-sampling approach. Treatment decisions were reached in 72% of cases after inspecting only 10 plants, while only 6% of the cases required examining more than 25 plants. Comparisons with fixed-sample sizes ranging from 23 to 68 plants revealed a 96% agreement in decision-making and a 78% reduction in sampling effort when using the sequential sampling plans. [ABSTRACT FROM AUTHOR]

Social paper wasps regularly prey upon lepidopteran larvae, some of which are economically impactful agricultural pest species. We examined the potential of native North American Polistes metricus Say (Hymenoptera: Vespidae) and Polistes fuscatus (Fabricius) for biocontrol of Brassica L. pests in an experimental setting. First, we translocated P. metricus to one-half of a divided screened hoop house and placed a mix of 4th–5th instar lepidopteran larvae (Trichoplusia ni (Hübner) (Lepidoptera: Noctuidae), Pieris spp. Schrank (Lepidoptera: Pieridae), and Plutella xylostella (L.) (Lepidoptera: Plutellidae)) on half of the broccoli plants on both sides of the hoop house. We recorded and replaced missing caterpillars daily, and assessed leaf damage after 1 wk. P. metricus was 100% effective at removing all caterpillars from the wasp side of the hoop house, and plant damage by caterpillars was significantly reduced in the presence of wasps. We then replicated the study using a different combination of Polistes (fuscatus) and Brassica crop (kale) with a 2 × 2 experimental design in which plants had either T. ni larvae added or absent (factor 1), and were either covered with insect mesh or left exposed (factor 2). By the second day of exposure to these pest species, wasps removed over 80% of the larvae within 3 h of placing them on the plants. We discuss implications of this study for the potential use of native Polistes wasps as an integrated pest management strategy. [ABSTRACT FROM AUTHOR]

Pesticide use in crops is a severe problem in some countries. Each country has its legislation for use, but they differ in the degree of tolerance for these broadly toxic products. Several synthetic pesticides can cause air, soil, and water pollution, contaminating the human food chain and other living beings. In addition, some of them can accumulate in the environment for an indeterminate amount of time. The agriculture sector must guarantee healthy food with sustainable production using environmentally friendly methods. In this context, biological biopesticides from microbes and plants are a growing green solution for this segment. Several pests attack crops worldwide, including weeds, insects, nematodes, and microorganisms such as fungi, bacteria, and viruses, causing diseases and economic losses. The use of bioproducts from microorganisms, such as microbial biopesticides (MBPs) or microorganisms alone, is a practice and is growing due to the intense research in the world. Mainly, bacteria, fungi, and baculoviruses have been used as sources of biomolecules and secondary metabolites for biopesticide use. Different methods, such as direct soil application, spraying techniques with microorganisms, endotherapy, and seed treatment, are used. Adjuvants like surfactants, protective agents, and carriers improve the system in different formulations. In addition, microorganisms are a tool for the bioremediation of pesticides in the environment. This review summarizes these topics, focusing on the biopesticides of microbial origin. [ABSTRACT FROM AUTHOR]

BACKGROUND: Insect pests have garnered increasing interest because of anthropogenic global change, and their sustainable management requires knowledge of population habitat use and spread patterns. To enhance this knowledge for the prevalent tea pest Empoasca onukii, we utilized a random forest algorithm and a bivariate map to develop and integrate models of its habitat suitability and genetic connectivity across China. RESULTS: Our modeling revealed heterogeneous spatial patterns in suitability and connectivity despite the common key environmental predictor of isothermality. Analyses indicated that tea cultivation in areas surrounding the Tibetan Plateau and the southern tip of China may be at low risk of population outbreaks because of their predicted low suitability and connectivity. However, regions along the middle and lower reaches of the Yangtze River should consider the high abundance and high recolonization potential of E. onukii, and thus the importance of control measures. Our results also emphasized the need to prevent dispersal from outside regions in the areas north of the Yangtze River and highlighted the effectiveness of internal management efforts in southwestern China and along the southeastern coast. Further projections under future conditions suggested the potential for increased abundance and spread in regions north of the Yangtze River and the southern tip of China, and indicated the importance of long‐term monitoring efforts in these areas. CONCLUSION: These findings highlighted the significance of combining information on habitat use and spread patterns for spatially explicit pest management planning. In addition, the approaches we used have potential applications in the management of other pest systems and the conservation of endangered biological resources. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

AbstractSudden outbreaks of agricultural pests are increasing in India due to the growing prominence of environmental issues like global warming, the occurrence of weather extremes, and hydrological extremes. Climate change impacts the developmental rates and population dynamics of agricultural pests. As rice is a staple food widely used in India, it often suffers intensive damage by various pests, leading to a considerable decrease in crop yield. One of the most common pests in rice fields in India and neighboring countries is the rice thrips (Stenchaetothrips biformis). However, the degree of pest infestation of rice crops under climate change scenarios is poorly known. Therefore, this study aimed to understand the potential geographical distribution of the rice thrips in India for future scenarios using the MaxEnt modeling framework. Future projections from global climate models (GCMs), such as HadGEM3-GC31 and MPI-ESMI-2, are used to predict the most affected regions in 2050 under three greenhouse gas emission scenarios: SSP1-2.6, SSP3-4.5, and SSP5-8.5. The results from the MaxEnt indicate that the southern and northeastern parts of India will be highly affected by rice thrips in 2050. The affected number of districts are found to be 256, 330 and 313 under SSP1-2.6, SSP3-4.5, and SSP5-8.5 scenarios, respectively. It has been observed that the maximum temperature is the most influential climatic parameter for the geographical distribution of rice thrips, followed by the annual mean and minimum temperatures. It can be concluded from these results that the elevated temperature enhances the growth and distribution of rice thrips. [ABSTRACT FROM AUTHOR]

In the realm of disease vectors and agricultural pest management, insecticides play a crucial role in preserving global health and ensuring food security. The pervasive use, particularly of organophosphates (OPs), has given rise to a substantial challenge in the form of insecticide resistance. Carboxylesterases emerge as key contributors to OP resistance, owing to their ability to sequester or hydrolyze these chemicals. Consequently, carboxylesterase enzymes become attractive targets for the development of novel insecticides. Inhibiting these enzymes holds the potential to restore the efficacy of OPs against which resistance has developed. This study aimed to screen the FooDB library to identify potent inhibitory compounds targeting carboxylesterase, Ha006a from the agricultural pest Helicoverpa armigera. The ultimate objective is to develop effective interventions for pest control. The compounds with the highest scores underwent evaluation through docking studies and pharmacophore analysis. Among them, four phytochemicals—donepezil, protopine, 3′,4′,5,7-tetramethoxyflavone, and piperine—demonstrated favorable binding affinity. The Ha006a-ligand complexes were subsequently validated through molecular dynamics simulations. Biochemical analysis, encompassing determination of IC50 values, complemented by analysis of thermostability through Differential Scanning Calorimetry and interaction kinetics through Isothermal Titration Calorimetry was conducted. This study comprehensively characterizes Ha006a-ligand complexes through bioinformatics, biochemical, and biophysical methods. This investigation highlights 3′,4′,5,7-tetramethoxyflavone as the most effective inhibitor, suggesting its potential for synergistic testing with OPs. Consequently, these inhibitors offer a promising solution to OP resistance and address environmental concerns associated with excessive insecticide usage, enabling a significant reduction in their overuse. [ABSTRACT FROM AUTHOR]

A fundamental understanding of the underlying mechanisms involved in biological invasions is crucial to developing effective risk assessment and control measures against invasive species. The fall armyworm (FAW), Spodoptera frugiperda, is a highly invasive pest that has rapidly spread from its native Americas into much of the Eastern Hemisphere, with a highly homogeneous nuclear genetic background. However, the exact mechanism behind its rapid introduction and propagation remains unclear. Here, a systematic investigation is conducted into the population dynamics of FAW in China from 2019 to 2021 and found that FAW individuals carrying "rice" mitochondria (FAW‐mR) are more prevalent (>98%) than that with "corn" mitochondria (FAW‐mC) at the initial stage of the invasion and in newly‐occupied non‐overwintering areas. Further fitness experiments show that the two hybrid‐strains of FAW exhibit different adaptions in the new environment in China, and this may have been facilitated by amino acid changes in mitochondrial‐encoded proteins. FAW‐mR used increases energy metabolism, faster wing‐beat frequencies, and lower wing loadings to drive greater flight performance and subsequent rapid colonization of new habitats. In contrast, FAW‐mC individuals adapt with more relaxed mitochondria and shuttle energetics into maternal investment, observed as faster development rate and higher fecundity. The presence of two different mitochondria types within FAW has the potential to significantly expand the range of damage and enhance competitive advantage. Overall, the study describes a novel invasion mechanism displayed by the FAW population that facilitates its expansion and establishment in new environments. [ABSTRACT FROM AUTHOR]