Search Results (3,078)

The red palm weevil, Rhynchophorus ferrugineus (Olivier, 1791), is among the most destructive pests of date palm (Phoenix dactylifera L.) globally, posing a severe and escalating threat to agricultural productivity across the Arabian Peninsula. Despite its well-documented economic impact, the potential influence of climate change on its future distributional dynamics within this region remains poorly quantified. This study employed Maximum Entropy (MaxEnt) species distribution modelling to assess current and projected habitat suitability for R. ferrugineus across the Arabian Peninsula (~3.2 million km²) under two contrasting Shared Socioeconomic Pathways (SSP1-2.6 and SSP5-8.5) for the mid-century (2050) and late-century (2070). The model was calibrated using 52 spatially thinned occurrence records and six non-collinear environmental predictors selected following Variance Inflation Factor (VIF) analysis, with sampling bias corrected through a kernel density-based background weighting approach. Model performance was robust, with mean training and test AUC values of 0.921 ± 0.023 and 0.840 ± 0.052, respectively, and a mean TSS of 0.583 ± 0.046. Precipitation of the coldest quarter (Bio 19) and precipitation seasonality (Bio 15) emerged as the most influential predictors of habitat suitability, followed by elevation. Currently, approximately 727,589.8 km² (26.11%) of the peninsula is classified as suitable habitat, concentrated along the eastern Arabian Gulf coastline and the western Red Sea plain. Under SSP1-2.6, suitable habitat is projected to expand by 16.34% and 31.60% by 2050 and 2070, respectively. Under the high-emission SSP5-8.5 scenario, expansions are considerably more pronounced, reaching 34.11% by 2050 and 60.15% by 2070, with total suitable area approaching 1,158,474.8 km² (41.58%) by late-century. Habitat contraction was negligible across all scenarios, indicating a unidirectional range expansion dynamic. These findings highlight the substantial threat posed by climate-driven habitat expansion of R. ferrugineus and provide spatially explicit projections to inform proactive biosecurity planning and pest management strategies for date palm cultivation across the Arabian Peninsula. Full article

Neltuma pallida is a multi-purpose tree species of the seasonally dry tropical forests of northern Peru, where it provides essential ecological and socioeconomic functions. However, recurrent defoliation associated with the cecidomyiid gall midge Enallodiplosis discordis may compromise early seedling establishment and the success of forest restoration programs. This study evaluated the effects of larval infestation on foliar integrity and established quantitative damage thresholds in N. pallida seedlings under dry forest conditions. Insects collected from naturally infested plants were identified using an integrative taxonomic approach that combined classical morphological diagnosis with COI-based DNA barcoding obtained by Sanger sequencing. Morphological assessment assigned the defoliating dipteran to E. discordis, while BLASTn v2.17.0. analysis of the 576-bp partial COI sequence showed 92.6% identity and 100% query coverage with Cecidomyiidae records, supporting its taxonomic placement within this family. Field bioassays conducted over a 17-week period, in which 25 individual seedlings were evaluated (N = 25), revealed a strong and significant positive correlation between larval density and foliar damage percentage (r = 0.872; p < 0.001), with moderate damage levels predominating throughout the evaluation period. Despite sustained larval presence, seedlings did not reach severe damage categories, suggesting potential relative tolerance to partial defoliation under the evaluated field conditions. Temperature and relative humidity were not significantly associated with infestation intensity or foliar damage during the study period. Overall, these findings indicate that E. discordis-associated foliar damage represents a relevant, although not necessarily lethal, biotic constraint for the early regeneration of N. pallida under the field conditions assessed. The quantitative thresholds reported here provide useful criteria for dry forest restoration programs, phytosanitary monitoring, and integrated pest management strategies in the Peruvian dry forest. Full article

The planthopper pests Geisha distinctissima and Ricanula fujianensis are major threats to tea plantations. Although insect endosymbionts are functionally important, their communities in these pests are poorly understood. This study, conducted in the representative tea-growing region of Guiyang in southwestern China, employed high-throughput sequencing to analyze the bacterial and fungal endosymbionts of both species. We found that bacterial communities were dominated by Proteobacteria and Firmicutes, with core genera such as Enterobacter and Rickettsia showing significant interspecific variation. Fungal communities were primarily composed of Ascomycota and Basidiomycota, and key genera like Fusarium exhibited host-specific patterns. Most notably, we discovered an intriguing pattern: bacterial communities differed in structure but showed conserved predicted functions, whereas fungal communities were structurally similar yet functionally divergent. This suggests that bacterial symbionts may underpin core physiological stability, while fungal symbionts could act as key drivers of host-specific adaptation. These results provide critical insights into planthopper–microbe interactions and establish a theoretical basis for developing targeted, microbiome-based pest management strategies. Full article

Agricultural pest infestations cause substantial global crop losses. Morphological similarities across species and structural variations across developmental stages render accurate identification a persistently expert-dependent and time-consuming process. Recent deep learning approaches have advanced automated pest classification; however, most efforts have concentrated on architectural design, while optimization strategies have received comparatively little attention. This study proposes a novel optimization framework, hereafter referred to as Adaptive Fractional Gradient Descent (AFGD), that integrates the Grünwald–Letnikov (GL) fractional derivative into the backpropagation process of deep convolutional neural networks. Unlike standard gradient descent, the proposed method maintains a weighted history of past gradients. It dynamically adjusts the fractional order α via Bayesian optimization at regular training intervals, enabling the model to adaptively balance exploiting gradient memory against exploring new gradients throughout training. Experiments conducted on the IP102 benchmark dataset using DenseNet121, ResNet101, and EfficientNetB0 backbones demonstrated consistent accuracy improvements over standard gradient descent across all configurations. In the untrained setting, absolute test accuracy improved by 20.73, 11.51, and 11.01 percentage points for DenseNet121, ResNet101, and EfficientNetB0, although the absolute accuracy levels in this configuration remain modest. Under ImageNet pre-training, the proposed method yielded absolute gains of 6.69, 7.39, and 3.76 percentage points over the corresponding standard gradient baselines, with the highest absolute test accuracy of 70.81% recorded for DenseNet121. These findings indicate that fractional-order gradient control is a promising, architecturally complementary optimization strategy for robust pest classification, with broader implications for deep learning applications in precision agriculture. Full article

Global climate warming has intensified in recent years, with extreme weather events occurring more frequently and severely impacting ecosystems and social production. According to the “China Climate Change Blue Book (2023),” China’s temperature rise rate exceeds the global average, with increasingly significant impacts on ecosystems. Hyphantria cunea, an invasive forest pest first discovered in China in 1979, has spread widely, causing serious damage to forestry and agriculture and posing a significant threat to China’s ecological security. To address this threat, this study employed seven modeling algorithms (GLM, GBM, CTA, ANN, SRE, FDA, MARS, RF, and MaxEnt) from the R Biomod2 package to develop an ensemble model. The core research objective of this work is to quantify climate-driven range shifts of H. cunea under ongoing global climate change. Previous nationwide SDM studies on invasive forest pests have consistently demonstrated that climatic variables dominate broad-scale nationwide suitable habitat patterns at the macro-regional level. Supplementary topographic, vegetation cover, and human land-use disturbance layers were incorporated to capture fine-scale habitat filtering effects and long-distance pest dispersal facilitated by human activities, which together fully characterize the suitable regional environments of this pest. By integrating climate, topography, vegetation, and human disturbance data, we predicted the potential geographical distribution of H. cunea in China under four future climate scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). The ensemble model achieved excellent performance with TSS and ROC values of 0.901 and 0.984, respectively. Currently, highly suitable areas for H. cunea are concentrated in 12 provinces, including Shandong, Jiangsu, Hebei, Henan, and Anhui, covering 56.33 × 104 km², with Shandong showing the highest proportion (25.48%). The suitable habitat range is projected to expand northeastward, with significant increases under high emission scenarios (SSP5-8.5). Analysis of environmental variables reveals that nighttime light brightness, precipitation in the warmest season, the seasonal temperature variation coefficient, and average temperature in the driest season are key factors influencing H. cunea distribution. Nighttime light brightness shows the highest contribution (27.7%), indicating significant human impact on species spread. Response curves suggest that H. cunea favors warm, humid areas with pronounced seasonal changes. This study demonstrates that climate change will increase H. cunea expansion risk, necessitating strengthened cross-regional monitoring and biological control techniques. These findings provide a scientific foundation for understanding H. cunea spatiotemporal distribution patterns under future climate scenarios and for developing effective prevention and control strategies. Full article

The striped stem borer Chilo suppressalis (Lepidoptera: Crambidae) is one of the most serious pests of water bamboo Zizania latifolia. Microbiota dynamics across the life cycle of C. suppressalis are a prerequisite for comprehending the symbiotic relationship between C. suppressalis and its microbiota. In this study, we characterized the structural features of the gut and ovary, as well as the associated microbiota of C. suppressalis. The gut is anatomically divided into the foregut, midgut and hindgut. Notable structural and ultrastructural differences were observed between adults and larvae, the details of which have not been previously documented. Microbial sequencing of gut, ovary, and egg samples revealed variations in relative sequence abundances among these tissues. At the phylum level, Proteobacteria and Firmicutes were the predominant groups. At the family level, Bacillaceae, Enterobacteriaceae, Enterococcaceae, Halomonadaceae, Moraxellaceae, and Streptococcaceae were detected in the gut, ovary, and egg, albeit with different relative sequence abundances. The larval midgut exhibited the highest bacteria diversity among all samples examined. The compositional distribution of bacterial genera varied considerably across developmental stages, diet, and gut compartment, and some genera were identified as core microbial taxa. These findings provide a descriptive account of the microbial community structure associated with different tissues and life stages of C. suppressalis. They also provided important insights into the investigation of insect–bacteria symbioses, thereby facilitating effective biocontrol of this species. Full article

This scoping review evaluates the role of vector-associated dissemination in contaminating the Philippine food supply chain with antimicrobial-resistant (AMR) Salmonella, an emerging infectious disease threat, using a One Health perspective to map the mechanisms through which insects and rodents bridge environmental reservoirs to human food systems. This scoping review was conducted and reported in accordance with the PRISMA-ScR guidelines. From 1969 records identified through systematic database searches, 52 studies met the inclusion criteria. These comprised 21 primary Philippine studies, 28 non-Philippine studies (including ASEAN-based historical baseline reports), and 3 policy/gray literature studies, prioritized to reflect tropical ecological and agricultural settings. Results suggest that intensive swine and poultry farming may contribute to the emergence of multidrug resistance (MDR) linked to genes such as bla_TEM and qnr. Evidence suggests that Salmonella persists in environmental matrices, such as manure and irrigation water, and that synanthropic vectors, including Rattus rattus and various fly species, potentially serve as biological and mechanical bridges in transmission. Clinical data reveal an alarming trend toward invasive non-typhoidal salmonellosis (iNTS) showing reduced susceptibility to cephalosporins and fluoroquinolones. Despite these findings, major evidence gaps remain, particularly regarding the prevalence of vector-borne Salmonella in pre-harvest produce. Consequently, mitigation requires a One Health framework that integrates non-antibiotic interventions, pest management to disrupt transmission pathways, and rapid diagnostic tools, such as loop-mediated isothermal amplification (LAMP), to enhance market surveillance. Full article

Background/Objectives: Aphids are among the most economically damaging agricultural pests globally. However, the internal phylogeny of their largest subfamily, Aphidinae, remains contentious, particularly regarding intergeneric relationships, tribal boundaries, and monophyletic status. Here, we coupled refined taxon sampling with rigorous data-filtering strategies to resolve these persistent phylogenetic discordances. Methods: We sequenced the genomes of four aphid species: Lipaphis pseudobrassicae, Rhopalosiphum maidis, Hyalopterus arundiniformis, and Uroleucon helianthicola. Integrating these new data with public genomic and transcriptomic resources, we established a comprehensive phylogenomic framework for Aphidinae. To address conflicting topologies, we compared a taxonomically broad 157-taxa dataset against a high-completeness 47-taxa core dataset. Furthermore, we evaluated the impact of intrinsic sequence properties, such as compositional heterogeneity and substitution rates, on phylogenetic conflict. Results: Our analyses demonstrate that filtering phylogenetically inconsistent loci and accounting for site heterogeneity significantly improve the topological stability of previously recalcitrant taxa. Conclusions: This study provides a refined evolutionary framework for the Aphidinae and underscores the critical importance of rigorous data curation when resolving rapid evolutionary radiations. Full article

Grapevine breeding has successfully developed mildew-resistant varieties, yet their susceptibility to arthropod pests remains largely unexplored. This review synthesizes current knowledge of arthropod pest interactions with mildew-resistant grapevines and compares them with those of conventional and parental varieties. Only a few studies have reported detailed information on arthropod pest susceptibility, covering 23 resistant varieties tested against seven species/groups, including Daktulosphaira vitifoliae, Lobesia botrana, Drosophila suzukii and eriophyid mites. About half of the available studies focused on berry pests—particularly the invasive D. suzukii—while leaf and root pests received little attention. In several cases, resistant varieties exhibited susceptibility levels comparable to those of their parental varieties, although the limited number of studies makes it difficult to draw clear conclusions. Overall, major knowledge gaps remain, highlighting the need for breeding programs that integrate mildew resistance with improved assessment of arthropod pest susceptibility, without compromising agronomic performance and wine quality. Full article

The overreliance on chemical pesticides has caused severe environmental contamination, health risks, and increasing pest and pathogen resistance, creating an urgent need for greener and more efficient alternatives in sustainable agriculture. Microalgae-mediated green nano-synthesis has emerged as a promising strategy because of its environmental compatibility, cost-effectiveness, and multifunctional potential. This review critically summarizes recent advances in microalgae-derived nanomaterials for agricultural applications. First, we discuss the biochemical basis of nanoparticle biosynthesis, highlighting the roles of microalgal polysaccharides, proteins, photosynthetic pigments, extracellular polymeric substances, and secondary metabolites as reducing, capping, and stabilizing agents. We then summarize intracellular and extracellular synthesis pathways, advanced synthesis strategies, and key reaction parameters, including temperature, pH, and metal precursor concentration, which regulate nanoparticle size, morphology, stability, and yield. Subsequently, major microalgae-derived nanomaterials, including gold, silver, selenium, zinc oxide, bimetallic, and other functional nanoparticles, are discussed in relation to their agricultural applications. These nanomaterials show potential in bacterial, fungal, and viral disease control, biofilm disruption, plant growth promotion, yield enhancement, and abiotic stress mitigation. Their agronomic effects are associated with multiple mechanisms, including reactive oxygen species generation, pathogen membrane disruption, inhibition of biofilm formation, enhanced nutrient bioavailability, antioxidant regulation, and activation of plant systemic resistance. In addition, this review evaluates the phytotoxicity, biocompatibility, soil microbial impacts, and environmental safety of microalgae-derived nanomaterials, emphasizing that green synthesis does not automatically guarantee biosafety. Finally, we discuss their integration into circular agriculture through CO₂ capture and wastewater-derived metal recovery, while highlighting remaining challenges in scale-up, quality control, economic feasibility, regulatory classification, and public acceptance. Overall, microalgae-mediated nanotechnology offers a promising platform for developing safer, more efficient, and circular agricultural inputs. Full article

The family Scoliidae is composed of parasitoid wasps of notable ecological and agronomic importance, particularly for their role in the natural control of soil-dwelling beetle larvae within agroecosystems. This study provides the first record of Campsomeriella whitelyi (Kirby, 1889) in Chile, a species originally described from the Tambo Valley, Arequipa, Peru. The specimens analyzed, previously identified as Campsomeris servillei (Guérin-Méneville, 1831), were found to correspond to Campsomeriella whitelyi, whose known distribution in Chile was restricted to the extreme north. Their identity was confirmed through morphological analysis, which revealed the presence of a distinct yellow band on the fourth abdominal tergite and an elongated posterior tibial spur—diagnostic characters consistent with the original description of the species. This record from the Coquimbo Region represents the southernmost known expansion of the species. Specimens were collected between 2017 and 2025 in horticultural and rainfed agroecosystems associated with the Elqui River Basin (Coquimbo Region, Chile), using entomological nets in targeted sampling efforts. The edaphoclimatic conditions of the area—characterized by light-textured soils, winter humidity, and a high availability of hosts—appear to have favored the establishment of this wasp in a previously unreported environment. Through MaxEnt modeling, areas of high environmental suitability were identified in Chile’s Norte Chico region. From an agronomic perspective, this finding opens opportunities to incorporate Campsomeriella whitelyi as a functional component in integrated pest management (IPM) programs, particularly in the biological control of Scarabaeidae (Coleoptera) larvae that affect root, bulb, and minor fruit crops. Its adaptation to semi-arid agricultural environments suggests potential resilience under climate change scenarios, as well as a low impact on non-target species. This study contributes to applied entomology and functional conservation, promoting the integration of beneficial Hymenoptera into sustainable agricultural systems of north-central Chile. Full article

Although the sublethal effects of botanical pesticides are critical for pest management, their role in modifying insect behaviour is frequently overlooked. In a laboratory bioassay utilising powder prepared from the leaf, stem, and root of the invasive alien plants (IAPs) Gleditsia triacanthos, Chromolaena odorata, and Schinus terebinthifolia, this study evaluated the behavioural reactions, notably repellence and locomotion, of Spodoptera frugiperda larvae. For repellence, six second instar larvae of S. frugiperda were individually placed in 30 mL vial that remained unsealed to allow larvae to exit freely if repelled and were exposed to 22% of leaf, stem and root powders of all three plant species over a 12 h period before recording the number of repelled insects. For locomotion, ten-second instar larvae were directly coated with different powder quantity 1.5 g and 2.5 g of leaf, stem, and root of all three IAPs, then released and allowed to move for 60 s on a 90 × 60 cm whiteboard. The running speed was calculated as the distance travelled per unit time. All plant-part powder exhibited significantly higher repellence than the control (0%). Gleditsia triacanthos leaf, root and stem powders showed minimal repellence, with values of 16%, 29% and 21%, respectively. However, higher rates were observed for C. odorata and S. terebinthifolia. Specifically, C. odorata stem powder achieved the highest overall repellence at 54%, whereas S. terebinthifolia performed best with its root powder at 45%. Compared to the control group, the running speed of the insects experienced a substantial reduction, decreasing by 60 to 80% when exposed to powders derived from all parts of the three IAPs. Our results suggest that the IAP powders used in this study both repel S. frugiperda and strongly limit their ability to move, highlighting their potential for behaviour-based pest control strategies. Full article

Commensalism, a frequent type of interaction among freshwater invertebrates, remains poorly studied. Some turbellarians (Platyhelminthes: Temnocephalidae) are specialized obligate commensals of crustaceans, mollusks, insects, and turtles. In the Neotropics, Temnocephala iheringi inhabits the mantle cavity of snails (Mollusca: Gastropoda) from Pantanal (Brazil) to the Pampean region of Argentina, where several species serve as hosts. This study aimed to molecularly characterize several populations of T. iheringi and to analyze their genetic and morphological variability across different host species and geographic areas. Using the mitochondrial COI marker, we assessed populations associated with five of its seven known host species through phylogenetic reconstructions, species delimitation approaches, and haplotype network analyses. Combined with morphological data, results support COI as an effective identification tool for Temnocephalidae. Several genetic lineages were identified and were largely congruent with collection localities. However, specimens associated with hosts displaying high dispersal capabilities (i.e., Pomacea canaliculata and P. maculata) showed low mitochondrial genetic differentiation and minimal phylogenetic structure across large distances, which may be consistent with recent dispersal and/or ongoing connectivity among populations. These findings provide new insights into the evolutionary dynamics of this specific temnocephalid–snail association. Given that some hosts are highly invasive and even considered pests in several countries, the data and genetic sequences generated in this study may prove valuable for future research on symbiont diversity and dispersal. Full article

Callosobruchus maculatus (Fabricius, 1775) is a major postharvest pest of stored legumes, causing significant quantitative and qualitative losses. This study evaluated host preference, biochemical determinants of susceptibility, and the insecticidal efficacy of plant powders and aqueous and ethanolic extracts against C. maculatus among selected pulse species. In free-choice assays, oviposition preference did not correspond with developmental success, as Phaseolus vulgaris Linnaeus, 1753, received the highest number of eggs but supported minimal adult emergence, whereas Vigna radiata (Linnaeus) A. Jussieu, 1954, exhibited the highest level of infestation and seed damage. Biochemical analysis revealed correlational patterns: higher carbohydrate and lipid contents were positively associated with infestation and seed weight loss, whereas fiber content showed a negative association with pest performance. Protein content was correlated with oviposition, while moisture and fiber were associated with reduced developmental success. Plant-derived treatments significantly affected all biological parameters of C. maculatus in a concentration- and time-dependent manner, with the exception of sex ratio. Among the tested botanicals, Azadirachta indica A. Jussieu (1830) consistently showed the highest toxicity, with the lowest LC₅₀ values across exposure periods. Ethanolic extracts showed greater insecticidal activity than aqueous extracts, indicating solvent-dependent extraction of bioactive compounds. Mortality increased progressively with exposure duration, accompanied by decreasing LC₅₀ values, suggesting cumulative toxic and developmental effects. Overall, the results demonstrate that host suitability is governed by the interaction between nutritional composition and structural seed traits, while botanical extracts, particularly those from A. indica, offer effective, eco-friendly alternatives for managing C. maculatus in stored legumes. Full article

Juvenile hormone (JH) analog insecticides are widely used in pest management because of their ability to disrupt insect growth and metamorphosis; however, the molecular mechanisms linking endocrine disruption to metabolic dysregulation remain incompletely understood. In addition to their established roles in diapause and developmental regulation, JH signaling pathways have also been implicated in carbohydrate and lipid metabolism. In the present study, we investigated the effects of two JH analogs, pyriproxyfen and hydroprene, on the migratory locust, Locusta migratoria, with particular emphasis on lipid metabolic regulation and the function of midgut-enriched fatty acid-binding protein gene (Mg-FABP). Bioassays were performed to evaluate insecticidal activity, and transcriptomic analyses were conducted to identify differentially expressed genes associated with endocrine signaling and lipid metabolism. Functional characterization of Mg-FABP was further performed using RNA interference (RNAi) and Oil Red O staining assays. In addition, the tertiary structure of LmMg-FABP was predicted using AlphaFold 3, and molecular docking analyses were carried out to investigate its interactions with fatty acid ligands. Both pyriproxyfen and hydroprene caused approximately 70% mortality in locust nymphs and induced significant transcriptional changes in pathways related to hormone signaling and lipid metabolism. Transcriptomic analysis revealed pronounced downregulation of Mg-FABP following JH analog exposure. RNAi-mediated silencing of Mg-FABP significantly reduced lipid droplet accumulation in the fat body, indicating that Mg-FABP plays an essential role in lipid transport and metabolic homeostasis in L. migratoria. Structural analyses further demonstrated that LmMg-FABP possesses a conserved tertiary structure highly similar to FABP homologs from other insect species. Molecular docking identified key amino acid residues involved in fatty acid binding and suggested that hydrophobic interactions are critical for ligand stabilization within the binding cavity. Collectively, our findings demonstrate that pyriproxyfen and hydroprene disrupt insect development not only through endocrine imbalance but also through perturbation of Mg-FABP-associated lipid metabolic pathways. This study provides new mechanistic insight into the coordinated interaction between hormonal signaling and lipid metabolism during JH analog exposure and identifies FABP-mediated lipid transport as a potential molecular target for the development of more selective insect growth regulators. Full article