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This article aims to provide the information required to identify C. arecae and the potential impacts of infestation in conservation collections. Outlined are species introduction, rate of spread, host range and effects on plant growth, as well as suggested actions in the event of live infestation and measures for preventing entry and establishment. Being an emergent pest, published research and accounts are limited; this article pulls together the available sources to build a clearer, yet ultimately incomplete picture. Transparency amongst conservation collection holders is key to addressing knowledge gaps, facilitating continuation of their vital work whilst effectively mitigating risk. [ABSTRACT FROM AUTHOR]

Tribolium castaneum is a challenging pest of stored products, causing significant economic losses. The present study explored the efficacy of Coridothymus capitatus essential oil and its primary constituent, carvacrol, as eco-friendly alternatives for managing this pest. To evaluate their insecticidal potential, repellency, fumigant toxicity, and antifeedant properties, progeny inhibition assays were performed. Carvacrol exhibited superior repellency compared to the essential oil, achieving a 92% repellency rate at 2 mg/cm2. Both compounds demonstrated significant fumigant toxicity against T. castaneum, with LC50 values of 168.47 and 106.5 μL/L for the essential oil and carvacrol, respectively, after 24 h. Carvacrol also outperformed the essential oil in antifeedant activity, inducing an 80.7% feeding deterrence at 1.17 mg/g. Moreover, both treatments effectively suppressed the development of the pest's progeny. These results collectively underscore the potent insecticidal properties of C. capitatus essential oil and carvacrol, particularly carvacrol, as promising candidates for the sustainable management of T. castaneum in stored product protection. [ABSTRACT FROM AUTHOR]

Arbuscular mycorrhizal (AM) symbiosis is the oldest and most widespread mutualistic association on Earth and involves plants and soil fungi belonging to Glomeromycotina. A complex molecular, cellular, and genetic developmental program enables partner recognition, fungal accommodation in plant tissues, and activation of symbiotic functions such as transfer of phosphorus in exchange for carbohydrates and lipids. AM fungi, as ancient obligate biotrophs, have evolved strategies to circumvent plant defense responses to guarantee an intimate and long-lasting mutualism. They are among those root-associated microorganisms able to boost plants' ability to cope with biotic stresses leading to mycorrhiza-induced resistance (MIR), which can be effective across diverse hosts and against different attackers. Here, we examine the molecular mechanisms underlying the modulation of plant immunity during colonization by AM fungi and at the onset and display of MIR against belowground and aboveground pests and pathogens. Understanding the MIR efficiency spectrum and its regulation is of great importance to optimizing the biotechnological application of these beneficial microbes for sustainable crop protection. [ABSTRACT FROM AUTHOR]

The article evaluates the Mosquito MK4 Multi-Age Anti-Loitering System from Mosquito Loitering Solutions and the Yard Sentinel from Aspectek.

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In the contemporary context, pest detection is progressively moving toward automation and intelligence. However, current pest detection algorithms still face challenges, such as lower accuracy and slower operation speed in detecting small objects. To address this issue, this study presents a crop pest target detection algorithm, GLU-YOLOv8, designed for complex scenes based on an enhanced version of You Only Look Once version 8 (YOLOv8). The algorithm introduces the SCYLLA-IOU (SIOU) loss function, which enhances the model generalization to various pest sizes and shapes by ensuring smoothness and reducing oscillations during training. Additionally, the algorithm incorporates the Convolutional Block Attention Module (CBAM) and Locality Sensitive Kernel (LSK) attention mechanisms to boost the pest target features. A novel Gated Linear Unit CONV (GLU-CONV) is also introduced to enhance the model's perceptual and generalization capabilities while maintaining performance. Furthermore, GLU-YOLOv8 includes a small-object detection layer with a feature map size of 160 × 160 to extract more features of small-target pests, thereby improving detection accuracy and enabling more precise localization and identification of small-target pests. The study conducted a comparative analysis between the GLU-YOLOv8 model and other models, such as YOLOv8, Faster RCNN, and RetinaNet, to evaluate detection accuracy and precision. In the Scolytidae forestry pest dataset, GLU-YOLOv8 demonstrated an improvement of 8.2% in mAP@0.50 for small-target detection compared to the YOLOv8 model, with a resulting mAP@0.50 score of 97.4%. Specifically, on the IP102 dataset, GLU-YOLOv8 outperforms the YOLOv8 model with a 7.1% increase in mAP@0.50 and a 5% increase in mAP@0.50:0.95, reaching 58.7% for mAP@0.50. These findings highlight the significant enhancement in the accuracy and recognition rate of small-target detection achieved by GLU-YOLOv8, along with its efficient operational performance. This research provides valuable insights for optimizing small-target detection models for various pests and diseases. [ABSTRACT FROM AUTHOR]

Efficient diagnosis of apple diseases and pests is crucial to the healthy development of the apple industry. However, the existing single-source image-based classification methods have limitations due to the constraints of single-source input image information, resulting in low classification accuracy and poor stability. Therefore, a classification method for apple disease and pest areas based on multi-source image fusion is proposed in this paper. Firstly, RGB images and multispectral images are obtained using drones to construct an apple diseases and pests canopy multi-source image dataset. Secondly, a vegetation index selection method based on saliency attention is proposed, which uses a multi-label ReliefF feature selection algorithm to obtain the importance scores of vegetation indices, enabling the automatic selection of vegetation indices. Finally, an apple disease and pest area multi-label classification model named AMMFNet is constructed, which effectively combines the advantages of RGB and multispectral multi-source images, performs data-level fusion of multi-source image data, and combines channel attention mechanisms to exploit the complementary aspects between multi-source data. The experimental results demonstrated that the proposed AMMFNet achieves a significant subset accuracy of 92.92%, a sample accuracy of 85.43%, and an F1 value of 86.21% on the apple disease and pest multi-source image dataset, representing improvements of 8.93% and 10.9% compared to prediction methods using only RGB or multispectral images. The experimental results also proved that the proposed method can provide technical support for the coarse-grained positioning of diseases and pests in apple orchards and has good application potential in the apple planting industry. [ABSTRACT FROM AUTHOR]

Chawki rearing centers (CRCs) play a pivotal role in the sericulture industry by focusing on the cultivation and rearing of high-quality silkworms, known as chawki. This study investigates the primary constraints faced by CRCs across various operational aspects, including agricultural practices, labor management, technical support, and market dynamics. Key findings reveal significant challenges such as the absence of drought-resistant mulberry varieties, high capital requirements for wages, labor shortages, and inadequate technical guidance. Natural factors like climate change and pest outbreaks further exacerbate these issues, impacting silkworm health and productivity. Marketing constraints, such as price volatility and transportation costs, add to the operational complexities of CRCs. The study underscores the need for coordinated efforts among government agencies, research institutions, and industry stakeholders to address these challenges and enhance the sustainability of chawki rearing in the sericulture sector. [ABSTRACT FROM AUTHOR]

BACKGROUND: Cnaphalocrocis medinalis (C.medinalis) is an agricultural pest with recurrent outbreaks. The investigation into automated pest and disease detection technology holds significant value for in‐field surveys. Current generic detection methods are inadequate due to arbitrary orientations and a wide range of aspect ratios in damage symptoms. To tackle these issues, we put forward a rotated two‐stage detection method for in‐field C.medinalis surveys. This method relies on an anchor‐free rotated region proposal network (AF‐R2PN), bypassing the need for hyper‐parameter optimization induced by predefined anchor boxes. An in‐field C.medinalis dataset is constructed during on‐site pest surveys to validate the effectiveness of our method. RESULTS: The experimental results show that our method can accomplish 80% average precision (AP), surpassing the corresponding horizontal detector by 2.3%. The visualization results of our work showcase its exceptional localization capability over generic detection methods, facilitating inspection by plant protectors. Meanwhile, our proposed method outperforms other state‐of‐the‐art rotated detection algorithms. The AF‐R2PN module can generate superior arbitrary‐oriented proposals even with a decreased number of proposals, balancing inference speed and detection performance among other rotated two‐stage methods. CONCLUSION: The proposed method exhibits superiority in detecting C. medinalis damage under complex field conditions. It provides greater practical applicability during in‐field surveys, enhancing their efficiency and coverage. The findings hold significance for pest and disease monitoring, providing important technical support for agricultural production. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

The objective of this systematic review (SR) was to select studies on the use of gene editing by CRISPR technology related to plant resistance to biotic stresses. We sought to evaluate articles deposited in six electronic databases, using pre-defined inclusion and exclusion criteria. This SR demonstrates that countries such as China and the United States of America stand out in studies with CRISPR/Cas. Among the most studied crops are rice, tomatoes and the model plant Arabidopsis thaliana. The most cited biotic agents include the genera, Xanthomonas, Manaporthe, Pseudomonas and Phytophthora. This SR also identifies several CRISPR/Cas-edited genes and demonstrates that plant responses to stressors are mediated by many complex signaling pathways. The Cas9 enzyme is used in most articles and Cas12 and 13 are used as additional editing tools. Furthermore, the quality of the articles included in this SR was validated by a risk of bias analysis. The information collected in this SR helps to understand the state of the art of CRISPR/Cas aimed at improving resistance to diseases and pests to understand the mechanisms involved in most host–pathogen relationships. This SR shows that the CRISPR/Cas system provides a straightforward method for rapid gene targeting, providing useful information for plant breeding programs.

Cabbage is an important component of agriculture in the eastern Democratic Republic of Congo (DRC) for its various food uses. It is important to identify pests that affect its production, which is still insufficient to meet the increasing consumer needs. Furthermore, insect data for tropical agroecosystems, particularly those of DRC are limited, making insect diversity poorly understood. The objective of this study is to assess the diversity and abundance of entomofauna related to cabbage in five different cabbage growing sites: Minova, Sake, Kibumba, Rutshuru and Lac Vert. This was achieved by trapping insects with the sweep net and yellow pantraps during 2021 and 2022. A total of 1109 insects from 9 orders and 48 families were collected. The most abundant pest families were Ciccadellidae (8%), Coreidae (7%), Chysomelidae (5%) and Pentatomidae (4%). The main families of beneficial insects (natural enemies and pollinators) identified were Syrphidae (7%), Carabidae (4%), Coccinellidae (3%) and Apidae (3%). Insect communities found in different locations were similar and diversified. Considering functions played by these different functional groups as ecological indicators, it is important to preserve entomological biodiversity. This is achieved through the rational selection of pest management methods to optimize ecosystem services provided by beneficial insects.

ABSTRACTThe avocado fruit is very popular and highly cultivated in many countries, including Ethiopia, for its multiple benefits. The purpose of this study was to examine the major constraints and challenges faced by smallholder farmers in avocado production and marketing in southern Ethiopia. The data were collected from 295 avocado farmers and 30 local traders using various data collection tools. The data were analyzed using descriptive statistics and the chi-square test. The findings from the present study revealed that the proportion of men farmers who produce local avocados was significantly higher than that of women farmers (χ2 = 153.79, df = 1, p

The genus Ulva is one of the most commonly commercially cultivated seaweeds both on land in ponds and in the open sea. As a crop, its cultivation is accompanied by three pest groups: (1) diseases caused by pathogenic bacteria, algae, virii, and fungi, which cause perforations, deterioration, and decreased growth of thalli; (2) various grazers, e.g. small crustaceans, gastropods, and non-defined invertebrates, which decrease growth and damage the thalli; and (3) an epiphytic biofilm of microorganisms, which also causes damage to the end-crop decreasing its yield and value. Mitigation categories against Ulva pests may be divided into three categories: (A) pro-active human intervention by washing the infected thalli with acid, fresh water, proprietary chemicals or CO2-saturated seawater, the use of methanolic Ulva extracts, or exudate from the green seaweed, all of which are reported to restrict pest activity; (B) using the beneficial properties of probiotic bacteria thereby eliciting antifouling activity, with selective abilities against pathogens of Ulva spp.; (C) enhancing the effects of environmental changes on pests, i.e. acidification and increased seawater temperature, which mainly decrease the grazer population and thereby their pressure. A summary of these studies is presented as a guide for rapid responses and applied management techniques for the amelioration of cultivation diseases, grazers, and harmful epiphytes affecting the foliose green alga Ulva spp. [ABSTRACT FROM AUTHOR]

The article discusses the importance of plant science research in the Pacific Islands, particularly in relation to traditional crops. The agriculture sector in the Pacific Islands is crucial for food security and economic growth, but agricultural productivity has stagnated or declined in recent years. This has led to increased dependence on imported food and a decline in traditional crops. The article highlights the need for research on genetic resources, crop breeding, pest and disease control, and postharvest storage. It also emphasizes the importance of collaborations between Pacific Island researchers and those from New Zealand and Australia to address research priorities in the region. [Extracted from the article]

Plant protection is increasingly problematic in a climate-challenged world where the need for food security is increasingly urgent. Plant Health Clinics (PHCs) are an effective way of improving the capability of extension services to assist farmers to manage plant problems, by delivering personalised advice. They are also recognised as an important element in the building of the region's plant health system, with links to biosecurity and research. Based on a medical model, the advice is provided by extension officers trained as 'plant health doctors', at a clinic accessible to farmers. Indications are that in the Pacific, farmers are very supportive of the PHC approach. In this paper, we consider the background and need for PHCs and the training of plant health doctors. We then discuss the important role of three of the region's universities – Fiji National University (FNU), Solomon Islands National University (SINU), and the University of Goroka (UoG) in PNG which now provide PHC education to students of agriculture and beyond to sustain the programme once donor funding ceases. Overall, the experience of including PHCs offers authentic learning for students, as well as opening a wide range of research opportunities to investigate and support the programme. [ABSTRACT FROM AUTHOR]

In the context of climate change and excessive anthropogenic pressure, the adverse effects of pests in agrocenoses are increasing, leading to considerable losses of crop production and economic damages. During the growing season, it is necessary to conduct phytosanitary monitoring to identify and control the number, spread, and intensity of pests, followed by determining the level of danger and developing relevant plant protection measures. For this, from 2008 to 2022, the species composition of pests in aubergine plantations in open ground conditions in the central part of the Right-Bank Forest-Steppe of Ukraine was studied. The study was conducted using conventional entomological methods. In aubergine plantations, 73 species of phytophagous insects from 25 families of 8 orders were found, which accounted for 93% of the pest structure, 2 species of mites (3%), 2 species of nematodes (3%), and one species of slugs (1%). The species diversity of insect phytophages was represented by insects from the orders: Coleoptera (20 species from 6 families), Lepidoptera (19 species from 5 families), Homoptera (14 species from 3 families), Diptera (9 species from 4 families), Orthoptera (5 species from 4 families), Thysanoptera (3 species from 1 family), Hemiptera (2 species from 1 family), Hymenoptera (1 species from 1 family). Among the ticks, the greatest damage was caused by the red spider mite (Tetranychus urticae Koch.), which on average was inhabiting 10-50% of the area. The average number of Tetranychus urticae Koch. was 8.5 specimens/plant, with up to 35-44% damage, which exceeded the EWP by 3.5-4.4 times. The colonisation of aubergine areas by naked slugs was not significant (up to 12%), but plant damage reached 10-14%. Among the insect phytophages, the largest area of plantations was infested with the Colorado potato beetle, larvae of the maybeetle, and gnawing scoops, which averaged 35-100%. The most harmful during the growing season were the Colorado potato beetle and the European mole cricket

The effectiveness of pheromone lures for Grapholita molesta (Busck 1916) from Propher (Czech Republic) and Pherobank (Netherlands), the attractiveness of green and transparent pheromone traps and the representation of non-target species were evaluated in three study areas of southern Moravia (Czech Republic) in 2019-2021 (24 traps per year). A total of 6 536 Grapholita molesta and 946 individuals of 17 non-target species were collected. Grapholita molesta was frequently captured in green delta traps with a Pherobank pheromone lure. Therefore, pheromone lures from different manufacturers have different efficacy and require the independent setting of harmfulness thresholds. An overview of non-target species recorded by other authors was compiled. Among the non-target species, morphologically similar species of Tortricidae dominated, causing considerable problems in the signalling of control measures of the target species.

Abstract Background Green bean, Phaseolus vulgaris L. (Fam.: Leguminosae) is a widely consumed grain legume prized for its edible seeds and pods. It is susceptible to infestations with various pests as insects and mites throughout the growing season. In this study, the efficacy of the predatory species, Chrysoperla carnea (Stephens), Phytoseiulus persimilis Athias-Henriot and the entomopathogenic fungus (EPF) Metarhizium anisopliae (Hypocreales: Clavicipitaceae), as well as conventional pesticides, Mospilan and Vertimec, were evaluated against the most important pests, mainly the whitefly, Bemisia tabaci (Genn.) and the two-spotted spider mite, Tetranychus urticae Koch, infesting the green beans cultivated at two locations Giza and El-Menoufia Governorates in Egypt. Results The findings demonstrate that treatments using C. carnea and M. anisopliae effectively reduced the whitefly population, while pesticide treatments were comparatively less effective. In the Giza plots, at the end of the experiments, the use of both M. anisopliae and C. carnea showed high reductions in whitefly population (85.57 and 84.87%), respectively, while in El-Menoufia, C. carnea (97.74%) was the most effective treatment followed by M. anisopliae (90.32%). Pesticide treatment in this case yielded a reduction rate of (22.76 and 59.67%) in Giza and El-Menoufia plots, respectively. However, for spider mite control, P. persimilis proved to be the most effective treatment in Giza and El-Menoufia plots, reducing the spider mite population to 98.44 and 96.14%, respectively. Metarhizium anisopliae treatment also displayed moderate effectiveness, with reduction rates of 75.62 and 75.37% in Giza and El-Menoufia plots, respectively. In comparison, pesticide treatment showed low effectiveness, with reduction rates of only 23.92 and 53.16% in the two locations, respectively. Conclusion Applications of the predator, C. carnea and the EPF, M. anisopliae were highly effective in reducing the population of whitefly, while the predator mite P. persimilis proved to be the most effective for controlling the spider mites. Overall, the study suggests that biocontrol agents, such as the predators and the EPF, can be considered as alternatives to synthetic chemical pesticides for controlling pests infesting green beans.

The nitidulid beetle Carpophilus truncatus is rapidly becoming a major pest of nut crops around the world. This insect first infested Australian almonds in 2013 and has since escalated to be the preeminent insect pest for the industry. Data pertaining to C. truncatus distribution are scant, but without awareness of its origin, distribution, and ecological factors that influence distribution, efforts to understand and manage the insect as a pest are stymied. Here, we employ an integrative approach to gain a multifaceted understanding of the distribution of C. truncatus in Australia. Methods employed were (1) reviewing historical records in insect collections to establish the presence of C. truncatus prior to commercial almond horticulture, (2) field trapping of insects to establish presence in regions of interest, (3) laboratory trials to determine the thermal limits of the organism, and (4) correlative species distribution modelling to describe its current distribution. We find that C. truncatus is more widespread across Australia than was previously known, with historical records preceding commercial almond production in Australia by a century. The methods developed in this study can be applied elsewhere in the world where C. truncatus is an emerging pest, or to novel pest species as they arise with increasing frequency in a globalised and warming world. [ABSTRACT FROM AUTHOR]

ABSTRACT During their co‐evolution with herbivorous insects, plants have developed multiple defense strategies that resist pests, such as releasing a blend of herbivory‐induced plant volatiles (HIPVs) that repel pests or recruit their natural enemies. However, the responses of insects to HIPVs in maize (Zea mays L.) are not well understood. Here, we demonstrate that the Asian corn borer (ACB, Ostrinia furnacalis), a major insect pest of maize, shows a preference for maize pre‐infested with ACB larvae rather than being repelled by these plants. Through combined transcriptomic and metabolomics analysis of ACB‐infested maize seedlings, we identified two substances that explain this behavior: (E)‐4,8‐dimethylnona‐1,3,7‐triene (DMNT) and (3E,7E)‐4,8,12‐trimethyltrideca‐1,3,7,11‐tetraene (TMTT). DMNT and TMTT attracted ACB larvae, and knocking out the maize genes responsible for their biosynthesis via gene editing impaired this attraction. External supplementation with DMNT/TMTT hampered the larvae's ability to locate pre‐infested maize. These findings uncover a novel role for DMNT and TMTT in driving the behavior of ACB. Genetic modification of maize to make it less detectable by ACB might be an effective strategy for developing maize germplasm resistant to ACB and for managing this pest effectively in the field. [ABSTRACT FROM AUTHOR]

Biological control of pests can be enhanced by the presence of semi‐natural habitats within agricultural landscapes. However, this assumption remains controversial due to inconsistencies related to the type of agroecosystems and the natural enemies studied. Within olive orchards, there is a lack of information regarding the interaction among natural enemies and their relation with habitat structure to control pests at the landscape scale. Here, we investigate the effects of the natural habitat on the pest, pest damage and the interaction of pests and natural enemies – using a trophic guild approach, in organic olive orchards. For this, we decomposed the natural habitats into vegetation structures and analysed their effects with a multi‐scale perspective. Our results show that (1) greater proportions of natural habitats increase the abundance of ants (omnivores) and predators and diminish pest pressures – reducing the impact of Prays oleae on olive fruits. (2) Vegetation structures within natural habitats were grouped, based on their effects, into three main vegetation groups: grassland and forest, scrublands and olive trees. However, the dense scrubland and the dense forest improve the abundance of natural enemies that are linked to pest damage the most. (3) Prays oleae increases in landscapes dominated by low numbers of patches that are highly aggregated. Conversely, ants and predators increased in landscapes dominated by high numbers of patches that have a less edge‐resembling shape. (4) Within the olive canopy, the abundance of lacewing larvae and salticid spiders is related to lower pest damage and a reduction in P. oleae adults respectively. However, when ants and predators interact with the natural habitat, they can cope with pest pressures without the need for high abundances, supporting ‘the more‐effective natural enemy hypothesis’ in agroecosystems. [ABSTRACT FROM AUTHOR]

Background: This paper investigates the horticulture crop value chain in the Vidarbha region of Maharashtra. It focuses on the different approaches to marketing used in Vidarbha and makes note of the fact that just 1 out of 10 farmers choose the farm-to-table model. Methods: A survey was conducted in order to gather the primary data employing a simple random sampling method. The survey was undertaken in four districts viz., Nagpur, Amravati, Bhandara and Wardha. The crops under investigation were banana, mango, lemon, orange/mandarin, tomato, potato and onion. Result: It was recorded that the projected amount of produce wasted was the highest at the retail level for tomato, potato, banana and mango crops, at the farm level for lemon and orange and at the wholesale level for onion. Moreover, the harvested crops are not properly stored until delivered due to lack of storage facilities. Farmers received less price due to low quality of produce and exploitation by the middlemen. At the farm level, it was recorded that 15-36% of the yield is lost due to pests/predators, unprecedented weather conditions and improper management. The supply chain faces several issues, including the scarcity of high-quality seeds, a lack of irrigation resources, unfavourable weather that ruins the produce, post-harvest losses, lack of storage facilities, price seasonality and market volatility. Numerous vertical coordination problems in the value chain could be resolved by the adoption of horticulture cooperatives and the creation of FPOs (Farmer Producer Organisations). [ABSTRACT FROM AUTHOR]

The brown planthopper (BPH), Nilaparvata lugens (Stål.), poses a significant threat to rice cultivation, acting as a key pest. The emergence of resistance to various insecticide classes has emerged as a prominent challenge, significantly hindering the effective management of N. lugens. Triflumezopyrim, a novel mesoionic chemistry insecticide, has recently been introduced in India for controlling N. lugens. Establishing the baseline susceptibility and monitoring its effectiveness throughout the life cycle of the molecule are crucial aspects for a newly commercialized insecticide like triflumezopyrim. In this study, the baseline toxicity of triflumezopyrim against brown planthopper populations from nine hotspot locations in three southern states of India was evaluated using the rice seedling dip method. The LC50 values varied between 0.123 and 0.268 mg/L, showing a 2.18-fold variation. This information holds significance in monitoring potential changes in N. lugens susceptibility to triflumezopyrim in the future, thereby assisting in the formulation of effective management strategies. [ABSTRACT FROM AUTHOR]

Spodoptera frugiperda (J.E. Smith, 1797) originates from the tropical and subtropical regions of the Americas and has spread to Africa, Asia, Oceania and, more recently, to Europe. This paper provides the first official report of S. frugiperda in Romania. In the southern part of the country, adults of this species were caught in a pheromone trap in November 2023. The identification of fall armyworm was carried out at a morphological and molecular level. Barcode sequences of the Romanian specimens were obtained. No damage was observed in the fields surrounding the trap where the pest was captured. A brief description and information on the economic importance of S. frugiperda are given, mainly for maize, taking into consideration the major importance of this crop in Romania and for the European and Mediterranean Plant Protection Organization region. [ABSTRACT FROM AUTHOR]

This paper is the first record of Retithrips syriacus (Thysanoptera: Thripidae) for Algeria. This thrips pest is reported for the first time from Khenchela Province, north‐eastern Algeria, on two Vitaceae species (Vitis vinifera and Parthenocissus quinquefolia). The observations were made in several gardens of different houses within the same neighbourhood. [ABSTRACT FROM AUTHOR]

The European pepper moth (Duponchelia fovealis) is predominant in the main strawberry production areas, including Brazil, as an important invasive pest and causes substantial damage to the crop. This damage is mainly attributed to the lack of effective management strategies. A promising alternative for managing this pest is implementing biological control through releasing natural enemies. This study determined the dispersal capacity of Trichogramma pretiosum for the management of D. fovealis in a strawberry crop in a low tunnel system 24, 48, and 72 h after parasitoid release. The experiments were carried out on strawberry farms in the mountainous region of Espírito Santo. Tunnels measuring 1.20 m wide by 50 m long were selected, in which artificial infestations of 30, 60, 90, and 120 eggs of D. fovealis were made on both sides of the strawberry tunnel at distances of 3, 7, 11, and 15 m, respectively, from the central point where the parasitoids were released. After the initial 24 h, new eggs were placed to replace the infested ones; the replacement was repeated at 48 and 72 h. The results indicated that, in strawberry plantations, T. pretiosum was efficient in parasitism. There was no difference between parasitism 24 and 48 h after parasitoid release, but parasitism was substantially lower after 72 h. The dispersion capacity of T. pretiosum was 14.21 linear meters, corresponding to an area of 17.05 m2. It is recommended that 93,000 T. pretiosum females be released per hectare every three days. [ABSTRACT FROM AUTHOR]

Glycoside hydrolases (GHs, also called glycosidases) catalyze the hydrolysis of glycosidic bonds in polysaccharides. Numerous GH genes have been identified from various organisms and are classified into 188 families, abbreviated GH1 to GH188. Enzymes in the GH32 family hydrolyze fructans, which are present in approximately 15% of flowering plants and are widespread across microorganisms. GH32 genes are rarely found in animals, as fructans are not a typical carbohydrate source utilized in animals. Here, we report the discovery of 242 GH32 genes identified in 84 animal species, ranging from nematodes to crabs. Genetic analyses of these genes indicated that the GH32 genes in various animals were derived from different bacteria via multiple, independent horizontal gene transfer events. The GH32 genes in animals appear functional based on the highly conserved catalytic blades and triads in the active center despite the overall low (35–60%) sequence similarities among the predicted proteins. The acquisition of GH32 genes by animals may have a profound impact on sugar metabolism for the recipient organisms. Our results together with previous reports suggest that the acquired GH32 enzymes may not only serve as digestive enzymes, but also may serve as effectors for manipulating host plants, and as metabolic enzymes in the non-digestive tissues of certain animals. Our results provide a foundation for future studies on the significance of horizontally transferred GH32 genes in animals. The information reported here enriches our knowledge of horizontal gene transfer, GH32 functions, and animal–plant interactions, which may result in practical applications. For example, developing crops via targeted engineering that inhibits GH32 enzymes could aid in the plant's resistance to animal pests. [ABSTRACT FROM AUTHOR]

Neonicotinoids are synthetic, nicotine-derived insecticides used worldwide to protect crops and domestic animals from pest insects. The reported evidence shows that they are also able to interact with mammalian nicotine receptors (nAChRs), triggering detrimental responses in cultured neurons. Exposure to high neonicotinoid levels during the fetal period induces neurotoxicity in animal models. Considering the persistent exposure to these insecticides and the key role of nAChRs in brain development, their potential neurotoxicity on mammal central nervous system (CNS) needs further investigations. We studied here the neurodevelopmental effects of different generations of neonicotinoids on CNS cells in mouse fetal brain and primary cultures and in neuronal cells and organoids obtained from human induced pluripotent stem cells (iPSC). Neonicotinoids significantly affect neuron viability, with imidacloprid (IMI) inducing relevant alterations in synaptic protein expression, neurofilament structures, and microglia activation in vitro, and in the brain of prenatally exposed mouse fetuses. IMI induces neurotoxic effects also on developing human iPSC-derived neurons and cortical organoids. Collectively, the current findings show that neonicotinoids might induce impairment during neuro/immune-development in mouse and human CNS cells and provide new insights in the characterization of risk for the exposure to this class of pesticides. [ABSTRACT FROM AUTHOR]

This document provides the conclusions of the pest survey card that was prepared in the context of the EFSA mandate on plant pest surveillance (M‐2020‐0114) at the request of the European Commission. The full pest survey card for Entoleuca mammata is published and available online in the EFSA Pest Survey Card gallery at the following link and will be updated whenever new information becomes available: https://efsa.europa.eu/plants/planthealth/monitoring/surveillance/entoleuca-mammata [ABSTRACT FROM AUTHOR]

Here, we report on a Cordyceps species entering into a multi-trophic, multi-kingdom association. Cordyceps cateniannulata , isolated from the stem of wild Coffea arabica in Ethiopia, is shown to function as an endophyte, a mycoparasite and an entomopathogen. A detailed polyphasic taxonomic study, including a multilocus phylogenetic analysis, confirmed its identity. An emended description of C. cateniannulata is provided herein. Previously, this species was known as a pathogen of various insect hosts in both the Old and New World. The endophytic status of C. cateniannulata was confirmed by re-isolating it from inoculated coffee plants. Inoculation studies have further shown that C. cateniannulata is a mycoparasite of Hemileia vastatrix , as well as an entomopathogen of major coffee pests; infecting and killing Hypothenemus hampei and Leucoptera coffeella. This is the first record of C. cateniannulata from Africa, as well as an endophyte and a mycoparasite. The implications for its use as a biocontrol agent are discussed. • An unprecedented case of multi-kingdom host-jumping is reported in Cordyceps. • This is the first record of C. cateniannulata from Africa and as an endophyte. • The fungus was isolated from the stem of wild Coffea arabica in Ethiopia. • Endophytic, mycoparasitic, and entomopathogenic abilities were proven experimentally. • The fungus offers novel biocontrol options for the management of coffee pests and diseases. [ABSTRACT FROM AUTHOR]

Ecological intensification (EI) provides an important and increasingly adopted pathway for achieving more sustainable agricultural systems. However, the implementation and success of on‐farm EI practices may vary depending on landscape context and local management practices.We evaluated how EI interventions, including two different agricultural input regimes (high or low use of synthetic pesticides and fertilizers) and floral border crops, affected local natural enemy biodiversity, pest abundance and crop yield, and how this was influenced by the surrounding landscape context across 12 rice fields on smallholder farms in Puducherry, India.Reducing agricultural inputs positively impacted the overall natural enemy assemblage; however, responses to landscape factors varied. For example, coccinellid beetles were negatively correlated with higher densities of field edges (landscape configuration). In contrast, spiders, the most abundant group surveyed, were not significantly influenced by any landscape metric. Furthermore, pest abundance was greatest in fields with reduced inputs but only at sites where floral border crops were not present.Mean rice grain yield was lower across low‐input sites compared with high‐input sites and floral border crops had opposing effects across high‐ and low‐input sites. At low‐input sites, mean yields were 33% higher where floral border crops were present. At high‐input sites, the presence of floral border crops was correlated with a lower mean yield (16%).These findings show that ecological intensification practices can benefit smallholder crop systems but highlight the need to account for variations in landscape context and local management practices for developing effective sustainable management practices. [ABSTRACT FROM AUTHOR]

The identification and classification of pests in rice field are the prerequisites of early warning systems for pest dis-asters. Among these pests, the rice planthoppers cause the most serious damage. However, the existing deep learning models for rice planthopper recognition are characterized by large size and numerous parameters, which makes them unsuitable for the deployment on embedded devices with limited computational resources. To address this issue, a lightweight rice planthopper recognition model based on YOLOv5 is proposed in this paper. In the model, a lightweight convolutional network named GhostNet is employed as the backbone to reduce the operational parameters. Additionally, a convolutional attention module (CBAM) is integrated into the backbone network to effectively enhance the transmission of deep information, so as to improve the model's ability of recognizing rice planthopper images. The original CIoU loss function is replaced by the SIoU loss function to expedite model convergence. Experimental results demonstrate that the modified model achieves the mAP@0.5 as 82.8%, with the parameter count of 3.12x106 and the model size of 7.2MB. Compared to the original model, it is a reduction of 46.7% in size and 43.3% in parameters, with a minor accuracy loss of 0.1%. Clearly, the improved model can achieve lightweight characteristics and robust performance, and thus it provides a theoretical and practical foundation for early warning systems against rice planthopper infestations in rice fields. [ABSTRACT FROM AUTHOR]

Pitaya, Hylocereus spp. (Caryophyllales: Cactaceae) has been one of the new species cultivated in Türkiye in recent years. There are many limiting factors, including pests, diseases and weeds, to decrease the yield and fruit quality in pitaya (dragon fruit) areas in Türkiye. In addition, the pests of pitaya is not fully studied therefore this research has been conducted to determine mealybug species in pitaya greenhouses in Türkiye. The present study aimed to determine mealybug species and its natural enemies (parasitoids, and predator insects) in pitaya greenhouses in Adana, Mersin, and Antalya between 2021 and 2022. According to results of this study, 2 different mealybug species was determined; Phenacoccus solenopsis Tinsley 1898, Phenacoccus madeirensis Green, 1923 (Hemiptera: Pseudococcidae) in pitaya greenhouses. Moreover one parasitoid (Aenasius arizonensis Girault (Hymenoptera: Encyrtidae), and two different predatory insects from 2 different orders and 2 different families (Chrysoperla carnea Stephens (Neuroptera: Chrysopidae), Nephus includens Kirsch (Coleoptera: Coccinellidae) were detected within this research. These two invasive mealybug species have wide spectrum host plants and may cause economically important damages to pitaya, if natural enemies cannot work successfully or control strategies do not applied properly in pitaya greenhouses. [ABSTRACT FROM AUTHOR]

The Mediterranean fruit fly (Ceratitis capitata) is the main pest of citrus fruits, which can also infect other economically priority fruit plant species in an integrated global environment. Numerous populations of this insect contribute to the spread of fungi and microbes that cause secondary damage, such as fruit rot. Infestation of citrus orchards can lead to significant annual losses in crop size and quality. As a quarantine pest with high reproductive potential and spreading ability, the Mediterranean fruit fly is difficult to control and poses a serious threat to Albanian citrus exports due to concerns about infection or insecticide residues. The purpose of this study was to investigate the current state of integrated management of the Mediterranean fruit fly on citrus plants in the Konispol region, using innovative approaches. As part of this objective, the dynamics of the Mediterranean fruit fly population were studied using Trimedlure bait traps. The potential of organic integrated agricultural fruit production in the aspect of pest control was analysed. Integrated pest control programmes were described in detail, including a range of modern, safe population control methods and positioned as innovative, effective strategies for controlling the Mediterranean fruit fly. The study analysed the potential of modern tools and technologies for pest control. The areas of minimising the share of chemical protective equipment in the agricultural management system were outlined. As a result of the experiment, the effectiveness of the technique of mass trapping of pests was established. Comparative analysis of monitoring results at different farm plots was carried out. Based on the obtained data, the potential of management and technological measures to minimise the load on citrus plantations, combining the principles of environmental safety and economic feasibility, with the introduction of the latest systems for controlling and monitoring pest populations, was analysed. [ABSTRACT FROM AUTHOR]

Detecting and recognizing pests are paramount for ensuring the healthy growth of crops, maintaining ecological balance, and enhancing food production. With the advancement of artificial intelligence technologies, traditional pest detection and recognition algorithms based on manually selected pest features have gradually been substituted by deep learning-based algorithms. In this review paper, we first introduce the primary neural network architectures and evaluation metrics in the field of pest detection and pest recognition. Subsequently, we summarize widely used public datasets for pest detection and recognition. Following this, we present various pest detection and recognition algorithms proposed in recent years, providing detailed descriptions of each algorithm and their respective performance metrics. Finally, we outline the challenges that current deep learning-based pest detection and recognition algorithms encounter and propose future research directions for related algorithms. [ABSTRACT FROM AUTHOR]

The demand for animal protein grows as the human population increases. Technological and genetic advances in traditional animal agriculture will not produce enough protein to meet future needs without significant innovations such as the use of insects as protein sources. Insect farming is growing insects, whereas insect harvesting is collecting insects from their natural habitats to produce high-quality protein for animal feed or human food. Intensive agricultural environments produce tremendous quantities of pestiferous insects and with the right harvest technologies these insects can be used as a protein supplement in traditional animal daily rations. An avenue to exploit these insects is to use traps such as the United States Department of Agriculture-Biomass Harvest Trap (USDA-BHT) to efficiently attract, harvest, and store insects from naturally abundant agricultural settings. The modular design allows for a low cost, easy to build and fix device that is user friendly and has customizable attractants to target various pest species. Although insect harvesting faces substantial challenges, including insect biomass quantity, seasonal abundance and preservation, food safety, and economic and nutritional evaluation, the potential for utilizing these pests for protein shows tremendous promise. In this forum, insect harvesting is discussed, including its potential, limitations, challenges, and research needs. In addition, the use of a mass trapping device is discussed as a tool to increase the biomass of insects collected from the environment. [ABSTRACT FROM AUTHOR]

Bemisia tabaci Middle East-Asia Minor 1 (MEAM1) is a significant pest that damages a wide range of high-value vegetable crops in south Florida. This pest has demonstrated the ability to develop resistance to various insecticide groups worldwide. Monitoring the resistance levels of MEAM1 populations and maintaining baseline susceptibility data are crucial for the long-term effectiveness of insecticide management strategies. We conducted serial dilution bioassays on 15 field populations of MEAM1 collected in south Florida to assess their resistance to 4 key insecticides: afidopyropen, cyantraniliprole, dinotefuran, and flupyradifurone. To quantify resistance levels, resistance ratios (RR) were generated by comparing the LC50 values of field populations to those of a known susceptible MEAM1 colony reared in the laboratory. Our findings reveal that all field-collected populations were susceptible to dinotefuran (RR 1–8) and flupyradifurone (RR 2–8). While over 80% of the populations tested were susceptible to afidopyropen (RR 1–9), 2 populations exhibited low (RR 38) and moderate resistance (RR 51), respectively. In contrast, most of the populations (57%) showed low to moderate resistance to cyantraniliprole (RR 21–78), and the remaining populations were susceptible (RR 3–10). The 2 populations with resistance to afidopyropen also exhibited moderate resistance to cyantraniliprole. Further research in this direction can aid in refining insecticide resistance management programs in Florida and other regions where B. tabaci MEAM1 is a major pest. Exploring the implications of these findings will be essential for insecticide use and integrated pest management strategies in south Florida. [ABSTRACT FROM AUTHOR]

Studies have investigated the potential of using farmed insects in animal feeds; however, little research has been done using wild-caught insects for this purpose. Concerns about inadequate quantities collected, environmental impacts, and the spread of pathogens contribute to the preferred utilization of farmed insects. Nevertheless, by harvesting certain pest species from intensified agricultural operations, producers could provide their animals with affordable and sustainable protein sources while also reducing pest populations. This study explores the possibility of collecting large quantities of pest flies from livestock operations and analyzes the flies' nutritional content, potential pathogen load, and various disinfection methods. Using a newly designed mass collection-trapping device, we collected 5 kg of biomass over 13 wk, primarily house flies, from a poultry facility. While a substantial number of pests were removed from the environment, there was no reduction in the fly population. Short-read sequencing was used to compare the bacterial communities carried by flies from differing source populations, and the bacterial species present in the fly samples varied based on farm type and collection time. Drying and milling the wild-caught flies as well as applying an additional heat treatment significantly reduced the number of culturable bacteria present in or on the flies, though their pathogenicity remains unknown. Importantly, these disinfection methods did not affect the nutritional value of the processed flies. Further research is necessary to fully assess the safety and viability of integrating wild-caught insects into livestock feed; however, these data show promising results in favor of such a system. [ABSTRACT FROM AUTHOR]

BACKGROUND: The tomato leafminer, Phthorimaea absoluta (Meyrick) (Lepidoptera: Gelechiidae), is a destructive invasive pest that originated in South America and has spread within China since 2017. A rapid method for on‐site identification of P. absoluta is urgently needed for interception of this pest across China. RESULTS: We developed a loop‐mediated isothermal amplification (LAMP) technique to differentiate P. absoluta from Liriomyza sativae, Chromatomyia horticola, and Phthorimaea operculella using extracted genomic DNA, which was then refined to create an on‐site LAMP diagnostic method that can be performed under field conditions without the need for laboratory equipment. CONCLUSION: In the present research, we developed an on‐site diagnostic method for rapid differentiation of P. absoluta from other insects with similar morphology or damage characteristics in China. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

PURPOSE: Insect pests are a major global factor affecting agricultural crop productivity and quality. Rapid and precise insect pest detection is crucial for improving handling and prediction techniques. There are several methods for pest detection and classification tasks; still, the inaccurate detection, computation complexity and several other challenges affect the performance of the model. DESIGN: Thus, this research presents a Deep Learning (DL) approach that has led to significant advancements and is currently being applied successfully in many domains, such as autonomous insect pest detection. Initially, the input images are gathered from the test dataset. The next step in pre‐processing the input images is to improve the model capacity by removing unwanted data using the Enhanced Kuan filter method. Then, the pre‐processed images are segmented using the Attention‐based U‐Net method. ORIGINALITY: Finally, a novel Attention Based Reptile Residual Capsule Auto Encoder (ARRCAE) technique is proposed to classify and recognize crop pests. Furthermore, the Improved Reptile Search Optimisation (IRSO) algorithm is employed to fine‐tune the classification parameters optimally. As a result, the proposed study enhances performance by classifying crop pest detection systems. The suggested method makes use of a Python tool for simulation, and pest datasets are utilized for result analysis. FINDINGS: The suggested model beats other current models with an accuracy of 98%, precision of 97%, recall of 96%, and specificity of 99% for the pest dataset, per the simulation results that were obtained. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

Introduction: West Africa, particularly Guinea-Bissau, heavily relies on cashew nut (Anacardium occidentale L.) production, which significantly impacts the countries' economies. Cashew exhibits remarkable adaptability to impoverished and arid soils. Understanding producers' socio-economic characteristics is crucial due to their potential influence on crop productivity and household income. Methods: This study aims to characterize the socio-economic, productive, and phytosanitary aspects of cashew production in Guinea-Bissau, through 151 interviews with producers across all administrative regions of the country. Results: Our findings reveal that cashew producers are mainly males aged 40 to 60, they typically manage plantations under 5 ha, with the smaller plantation areas located in Gabú, Cacheu, and Bolama. The age of the older trees averaged 31 years, with the highest age found in Biombo. Tree density averaged 286 trees per hectare, with higher values in Cacheu, Bafatá, and Bolama. Cashew nut yield in 2020 averaged less than 0.5 tons per hectare, with farmer-set prices generally lower than government determined prices. Oio, Tombali, and Bolama were the regions most affected by pests, while Oio and Cacheu (North) were the most affected by diseases. Top pests included termites, branch girdler, weaver ants, African grasshopper, and stem borer; while top diseases comprised gummosis, anthracnose, and dieback. Discussion: Characterization of cashew production system is crucial at both national and regional levels to identify region-specific limitations and strengths, aiding in the formulation of tailored strategies for sustainable production. Moreover, cashew production plays a crucial role in household incomes in Guinea-Bissau, underscoring the necessity of developing integrated management strategies. [ABSTRACT FROM AUTHOR]

Sirex noctilio is an invasive forest wasp that affects pines in many parts of the globe and can result in severe economic losses. Current trapping methods for monitoring the pest rely heavily on non‐specific semiochemicals. This lack of specificity can translate into low attraction/capture levels, something that is undesired, especially when the intent is to detect the pest when still at low population densities. In this context, an interesting opportunity arises to increase trap sensitivity by incorporating visual cues. For this, we evaluated potential sources of visual information that, in accordance with the ecology of the species, could elicit an attractive response complementary to the olfactory cues. We measured the reflectance spectra of pine bark, chlorotic needles and woodwasp male abdomens. The spectra were then compared with 120 commercial paint colours to be applied on panel traps. During two flight seasons, field experiments were conducted with the deployment of 155 traps, combining the volatile bait (turpentine) and different coloured traps. We observed a significantly higher number of captures towards traps with pine bark‐like colourations compared with the black control traps. Our results are encouraging, as they suggest the potential of combining visual and chemical information for sustainable pest biomonitoring. [ABSTRACT FROM AUTHOR]

SUMMARY: Cotton is a globally cultivated crop, producing 87% of the natural fiber used in the global textile industry. The pigment glands, unique to cotton and its relatives, serve as a defense structure against pests and pathogens. However, the molecular mechanism underlying gland formation and the specific role of pigment glands in cotton's pest defense are still not well understood. In this study, we cloned a gland‐related transcription factor GhHAM and generated the GhHAM knockout mutant using CRISPR/Cas9. Phenotypic observations, transcriptome analysis, and promoter‐binding experiments revealed that GhHAM binds to the promoter of GoPGF, regulating pigment gland formation in cotton's multiple organs via the GoPGF‐GhJUB1 module. The knockout of GhHAM significantly reduced gossypol production and increased cotton's susceptibility to pests in the field. Feeding assays demonstrated that more than 80% of the cotton bollworm larvae preferred ghham over the wild type. Furthermore, the ghham mutants displayed shorter cell length and decreased gibberellins (GA) production in the stem. Exogenous application of GA3 restored stem cell elongation but not gland formation, thereby indicating that GhHAM controls gland morphogenesis independently of GA. Our study sheds light on the functional differentiation of HAM proteins among plant species, highlights the significant role of pigment glands in influencing pest feeding preference, and provides a theoretical basis for breeding pest‐resistant cotton varieties to address the challenges posed by frequent outbreaks of pests. Significance Statement: Pigment glands are essential for cotton's pest defense, but their formation mechanisms remained unclear. We demonstrated that the GhHAM transcription factor, through the GoPGF‐GhJUB1 pathway, is pivotal for gland development and pest resistance, offering new insights into breeding pest‐resistant cotton. [ABSTRACT FROM AUTHOR]

Weeds interfere with lima bean production by reducing crop yield, hindering harvest, and contributing contaminants to harvested beans, yet there are very few trials documenting the impact of weeds on lima bean. This research was designed to evaluate weeds on lima bean yield, quality, as well as Rhizoctonia solani and pod-feeding insects in order to assist in implementing a more integrated approach to pest management. Field studies at four sites evaluated the impact of common cocklebur (Xanthium strumarium L.), jimsonweed (Datura stramonium L.), and ivyleaf morningglory [Ipomoea hederacea (L.) Jacq.] at densities of 0, 7, 10, or 20 plants 10 m-1 row in the presence and absence of Rhizoctonia solani on lima bean (Phaseolus lunatus L.). The planting dates of late June to mid-July represented a typical planting period for the mid-Atlantic region of USA, while one site represented an early planting date in this region (28 May). Differences in response to weed competition for total lima bean yield, marketable yield, yield components, and R. solani discoloration on lima bean occurred at one or more sites. Weed competition from 7 plants 10 m-1 of row or higher, reduced number lima bean pods by as much as 40%. However, weed density had little impact on percentage of flat, plump, or dry pods. Marketable yield was reduced at two sites in response to 7 plants 10-1 row (19% yield loss) and higher weed densities resulted in 29 to 33% yield loss. The presence of lima bean resulted in 40 to 60% reduction of common cocklebur and jimsonweed biomass and burs or seeds compared to weeds grown without crop competition. Weed competition in lima bean was influenced by many factors including weed species and planting date. Weed management is important to not only preserve yield but limit weed seed return to the soil seedbank and maintain harvest efficiency. [ABSTRACT FROM AUTHOR]

The effectiveness of pheromone lures for Grapholita molesta (Busck 1916) from Propher (Czech Republic) and Pherobank (Netherlands), the attractiveness of green and transparent pheromone traps and the representation of non-target species were evaluated in three study areas of southern Moravia (Czech Republic) in 2019–2021 (24 traps per year). A total of 6 536 Grapholita molesta and 946 individuals of 17 non-target species were collected. Grapholita molesta was frequently captured in green delta traps with a Pherobank pheromone lure. Therefore, pheromone lures from different manufacturers have different efficacy and require the independent setting of harmfulness thresholds. An overview of non-target species recorded by other authors was compiled. Among the non-target species, morphologically similar species of Tortricidae dominated, causing considerable problems in the signalling of control measures of the target species. [ABSTRACT FROM AUTHOR]