Search Results (89)

Pheromone-mediated chemical communication plays a central role in shaping the social organization and ecological success of S. invicta, a globally invasive eusocial insect characterized by a highly developed semiochemical signaling system. This review summarizes recent advances in the chemical ecology of S. invicta, with emphasis on the putative ecological roles of major pheromone classes, current understanding of the molecular and neurobiological basis of pheromone perception and signal processing, and the associations between chemical cues and colony-level social behavior dynamics. Furthermore, we evaluate progress in pheromone-based management approaches, including pheromone-enhanced baits and trail disruption techniques, highlighting both their potential to improve the specificity and efficacy of fire ant management and the current practical limitations for large-scale field applications. Finally, current significant knowledge gaps and challenges are discussed, particularly the partial characterization of pheromone identity, the ambiguous and biological significance of chemical cues, and challenges in applying laboratory research in pest management under field conditions. By linking chemical ecology, neurobiology, and invasion biology to pest management, this review outlines priority directions for future research and provides a theoretical foundation for developing more sustainable, targeted pest control approaches for fire ant management. Full article

This study examines the socio-demographic characteristics, rice production practices, and breeding preferences of farmers across three major rice-growing regions of Vietnam: the Mekong Delta, Central Vietnam, and North Vietnam. A survey of 109 rice farmers captured information on cultivation status, livelihood activities, and preferred breeding traits for rice improvement. The results reveal clear regional differentiation in farm structure, production objectives, and varietal preferences. Rice farming in the Mekong Delta is predominantly commercially oriented, characterized by larger landholdings and greater male participation, whereas rice production in Central and Northern Vietnam is more subsistence-oriented, with higher female involvement. Farmers across regions consistently valued locally adapted rice varieties, but articulated region-specific trait priorities shaped by agro-ecological conditions. In the Mekong Delta, preferences emphasized soft grain quality and salinity tolerance, reflecting coastal production constraints. In Central Vietnam, farmers prioritized heat tolerance and resistance to pests and diseases, while in Northern Vietnam, cold tolerance and grain quality attributes, including aroma and harder texture, were most important. Major biotic stresses, particularly blast and bacterial blight, also showed significant regional variation in reported incidence. By linking these region-specific preferences to clearly defined Target Populations of Environments (TPEs), this study provides a practical framework for aligning breeding targets with real-world production conditions. The findings offer actionable guidance for participatory breeding and decentralized varietal evaluation under the Biodiversity for Opportunities, Livelihoods, and Development (BOLD) initiative, as well as other rice improvement programs. To our knowledge, this represents the first multi-region evidence from Vietnam that systematically integrates agro-ecological variation with a TPE-based breeding approach, supporting the development of climate-resilient, farmer-preferred rice varieties and more sustainable rice production systems. Full article

Pests contribute significantly to the loss of Apis mellifera colonies in a multifactorial context that includes viruses, pesticides, nutritional deficiencies, and climate change. This review critically summarises diagnostic techniques (morphological, molecular, automated) and epidemiological methods for the main parasites (Varroa destructor, Vairimorpha spp., Acarapis woodi, Tropilaelaps spp., Aethina tumida, Lotmaria passim, Crithidia mellificae), evaluating trade-offs between sensitivity, specificity, cost, and practicality. There is no universal gold standard; the methodological choice must be contextualised. A decision-making framework structured on four pillars (Primary objective, Resource constraints, Epidemiological context, Ethics/Regulatory) is proposed to guide optimal selections, with application examples and testable hypotheses for future validation. Limitations of emerging technologies (reduced accuracy in the field for AI and LAMP), gaps in multi-pathogen synergies (including viruses and bacteria), interactions with pesticides, and climate impacts with explicit uncertainties are discussed. A global perspective and a One Health approach are adopted, identifying research priorities for integrated diagnostic tools, validated predictive models, and sustainable strategies. Full article

Landscape fragmentation as a process of landscape transformation affects the structure and composition of plant communities; however, relationships between fragmentation metrics and vegetation characteristics often remain weakly expressed and difficult to interpret, especially under conditions of multiple natural (wildfires, windstorms, pest outbreaks) and anthropogenic stressors (construction, forest management, agriculture). The aim of this study was to identify the sensitivity of forest community characteristics to landscape fragmentation metrics using methods that are effective at low correlation coefficients. The study analyzed 1694 vegetation relevés of forest communities in the center of the Russian Plain in the territory of the Moscow region. Seven uncorrelated metrics were calculated using the moving window method (2000 m) in Fragstats 4.3. The relationships between selected metrics and 20 community characteristics were evaluated using Spearman’s rank correlation method, assessment of statistically significant differences between classes, and testing for non-linear interactions. The species richness and Shannon index showed no correlation with fragmentation for tree and herb layers; however, the composition of ecological–coenotic groups demonstrated high sensitivity. The proportion of boreal and oligotrophic species, as well as the moss layer abundance, increased with increasing patch size, while nemoral and adventive species dominated in small-contrast patches. Results showed that fragmentation leads to asynchronous responses from ecosystem components, reducing correlations between structure and functioning. The conservation of large connected forest patches is critical for preserving the boreal–oligotrophic complex and moss layer, and is a priority task for climate adaptation. The robustness of the findings is supported by the extensive number of analyzed vegetation relevés. The multi-method approach demonstrated effectiveness in identifying significant ecological patterns under conditions of high multifactorial impact, emphasizing the need for a functionally oriented approach to managing fragmented temperate forests. Full article

Bactrocera dorsalis (Hendel) is a major insect pest of commercial fruit and a quarantine priority in the European Union (EU). This tephritid species was previously recorded in Austria, France, and Italy, with more recent detections in Greece. In 2023 and 2024, B. dorsalis adult males were captured by the Federal Agency for the Safety of the Food Chain (FASFC) using traps placed in community gardens and produce markets in Belgium. Morphological identification confirmed the specimens as B. dorsalis. Genomes of trapped adults were sequenced, as well as a historical set of B. dorsalis larvae intercepted by FASFC from imported fruit. A nuclear single-nucleotide polymorphism (SNP) analysis revealed that three Belgian B. dorsalis adults originated from Africa, while eight others were of Asian origin. In contrast, almost all FASFC intercepted larvae had an African origin. A discriminant analysis of principal components (DAPC) of the “Folmer” region of the mitochondrial cytochrome c oxidase subunit I (COI) gene largely confirmed the SNP analysis but also indicated that, in a few cases, mitonuclear discordance may confound origin tracing. To enable geographic origin tracing in a laboratory setting, a diagnostic set of nuclear SNPs was developed. The DAPC was also implemented in a streamlined R-script, allowing origin assignment using a mitochondrial COI barcode. To conclude, our study reveals independent occurrences of B. dorsalis in Belgium and provides important tools for origin tracing of this quarantine pest. Full article

Frankliniella panamensis Hood 1925 (Thysanoptera: Thripidae) is a thrips species of increasing interest as a potential pest of crops in Central and South America and as a contaminant in international trade, especially for ornamentals. We identify, collate, summarize, and critically analyze information from national, regional, and international sources, on the taxonomy, diagnostics, distribution, biology and ecology, pest status, and pest management of F. panamensis. Approximately 90 articles of relevance were identified. Most were locatable in either Google or Google Scholar, but electronic or hard copies were sometimes difficult to obtain. The taxonomic status of F. panamensis is established. After past issues, especially those that related to the distinction between F. panamensis and Frankliniella occidentalis, suitable morphological and molecular diagnostics for F. panamensis have been developed. F. panamensis has mostly been recorded from between 1400 and 3600 m asl in several Central and South American countries and especially in Colombia, Costa Rica, Ecuador, and Panama. Adults of F. panamensis have been recorded from flowers and leaves of many endemic and introduced plants, including weeds, in Central and South America, but details on the feeding and breeding hosts for this thrips species are rare. F. panamensis seems to be multivoltine and exhibits arrhenotoky. F. panamensis is clearly a transitory species in some protected crops but there is little evidence as to whether it maintains breeding populations under these conditions. F. panamensis is listed as a pest in several South American publications, but we found little published evidence of direct or indirect damage caused by the species to any cultivated or uncultivated plant species. Until the pest status of F. panamensis is clarified, this species will probably remain a quarantine issue in international trade in some countries. We identify knowledge gaps and priority areas for future research. Full article

Phoracantha semipunctata is a global quarantine pest, which is fatal to various tree species of the Eucalyptus. Currently, this pest has landed and colonized Guangdong province, China. Previously, there was very limited research information on P. semipunctata in China, which basically describes the taxonomic status. Field investigations found that the climatic ecological niche of the pest is continuing to expand. With global warming and the globalization of trade, signs of expansion may intensify the spread. In order to prevent any further spread of P. semipunctata, it is important to clarify its geographic distribution in China. In this study, the algorithm Random Forests was used to project the potential geographic distribution of P. semipunctata in China currently and in the future. Our results showed that temperature seasonality (Bio4) and the precipitation of the coldest quarter (Bio19) are key environmental factors limiting the current distribution of P. semipunctata in China. Currently, P. semipunctata has been found in Guangdong province, colonizing in the triangle zone composed of Zhanjiang City, Qingyuan City, and Jieyang City, with the projected potential suitable distribution area of 50.88 × 10⁴ km². Under future climate scenarios, the total suitable distribution area is projected to increase, from Fujian province toward the north to Guangxi province toward the north. Building on these results, we predicted the potential future spread pattern of P. semipunctata and developed priority measures for its management. These findings provide a theoretical basis for designing effective quarantine and control strategies against P. semipunctata. Full article

Greenhouse horticulture is a cornerstone of year-round vegetable production. However, escalating climate change is intensifying abiotic stressors (i.e., elevated temperatures, increased vapor pressure deficits, water shortage, and modified solar radiation), threatening both crop productivity and postharvest performance. This review synthesizes current knowledge on how these climatic shifts impact greenhouse microclimate, pest and disease patterns, energy and water requirements, as well as crop development in the Mediterranean region. This study focuses on three major crops (tomato, cucumber, and sweet pepper), which prevail in the regional protected cultivation sector. Among the climate-induced stressors examined, elevated temperature emerges as the primary environmental constraint on greenhouse productivity. In reality, however, a combination of climate-induced stressors is at play, acting simultaneously and often synergistically. Among crops, cucumber generally displays the highest sensitivity to climate-induced shifts, whereas sweet pepper tends to be the most resilient. Next, adaptive strategies are explored, including precision irrigation, structural retrofitting measures, renewable energy integration, Decision Support Systems, and climate-resilient cultivars. Regional case studies revealed diverse country-specific counteractive innovations. As key elements of inclusive climate adaptation, supportive policy frameworks and a practical agenda of targeted research priorities are outlined. In conclusion, the sustainability of greenhouse horticulture under a changing climate demands integrated, technology-driven, and region-focused approaches. Full article

Mealybugs are high-priority quarantine pests in fresh-produce trade due to cryptic habits, broad host ranges, and market-access risks. Phytosanitary irradiation (PI) provides a non-residual, process-controlled option that is increasingly integrated with modified-atmosphere (MA/MAP) logistics. Because molecular oxygen enhances indirect radiation damage (oxygen enhancement ratio, OER), oxygen limitation may modulate PI outcomes in mealybugs. The Jack Beardsley mealybug (Pseudococcus jackbeardsleyi) has an IPPC-adopted PI treatment of 166 Gy (ISPM 28, PT 45). We exposed adult females to 166 Gy under air and 1% O₂ and generated whole-transcriptome profiles across treatments. Differentially expressed genes and co-differentially expressed genes (co-DEGs) were integrated with protein–protein interaction (PPI) and regulatory networks, and ten hubs were validated by reverse transcription quantitative PCR (RT-qPCR). Hypoxia attenuated irradiation-induced transcriptional disruption. Expression programs shifted toward transport, redox buffering, and immune readiness, while morphogen signaling (Wnt, Hedgehog, BMP) was coherently suppressed; hubs including wg, hh, dpp, and ptc showed stronger down-regulation under hypoxia + irradiation than under irradiation alone. Despite these molecular differences, confirmatory bioassays at 166 Gy under both atmospheres (air and 1% O₂) achieved complete control. These results clarify how oxygen limitation modulates PI responses in a quarantine mealybug while confirming the operational efficacy of the prescribed 166 Gy dose. Practically, they support the current international standard and highlight the value of documenting oxygen atmospheres and managing dose margins when PI is applied within MA/MAP supply chains. Full article

Sustainable agriculture aims to meet the growing food demands of a rising global population while minimizing negative impacts on the environment, preserving natural resources, and ensuring long-term agricultural productivity. However, conventional agricultural practices often involve excessive use of chemical fertilizers, pesticides, and water, leading to soil degradation, water pollution, and ecosystem imbalances. In this context, agricultural nanotechnology has emerged as a transformative field, offering innovative solutions to enhance crop productivity, improve soil health, and ensure sustainable agricultural practices. This review has explored the wide-ranging uses of nanotechnology in agriculture, highlighting innovative plant-targeted delivery systems—such as polymer-based nanoparticles, carbon nanomaterials, dendrimers, metal oxide particles, and nanoemulsions—as well as its contributions to minimizing pesticide application, alleviating plant stress, and improving interactions between plants and nanoparticles. By examining recent research and development, the review highlights the potential of nanotechnology to address critical challenges such as pest resistance, nutrient management, and environmental sustainability. In conclusion, we believe that, in the immediate future, key priorities should include: (1) scaling up field trials to validate laboratory findings, (2) developing biodegradable nanomaterials to ensure environmental safety, and (3) integrating nanotechnology with digital agriculture platforms to enable real-time monitoring and adaptive management. These steps are essential for translating promising research into practical, sustainable solutions that can effectively support global food security. Full article

Nurseries represent a fundamental component of modern agricultural systems, specializing in the cultivation and management of diverse seedlings. Scientific cultivation methods significantly enhance seedling survival rates, while intelligent agricultural robots improve operational efficiency through autonomous plant protection. Central to these robotic systems, the perception system utilizes advanced neural networks to process environmental data from both images and point clouds, enabling precise feature extraction. This review systematically explores prevalent image-based models for classification, segmentation, and object detection tasks, alongside point cloud processing techniques employing multi-view, voxel-based, and original data approaches. The discussion extends to practical applications across six critical plant protection areas. Image-based neural network models can fully utilize the color information of objects, making them more suitable for tasks such as leaf disease detection and pest detection. In contrast, point cloud-based neural network models can take full advantage of the spatial information of objects, thus being more applicable to tasks like target information detection. By identifying current challenges and future research priorities, the analysis provides valuable insights for advancing agricultural robotics and precision plant protection technologies. Full article

Architecture can play a pivotal role in addressing the climate crisis by embedding sustainable design principles that reduce environmental impact and enhance resilience. Beyond ecological considerations, architectural interventions are crucial in developing structures capable of withstanding extreme weather events—and thereby mitigating the displacement of vulnerable populations. This study emphasizes the importance of tailoring architectural responses to the specific environmental challenges and evolving needs of rural communities. Drawing on the Perceived Values and Climate Change Resilience Dataset collected in Siaya County, Kenya, the research explores local perceptions of climate change and how these shape housing priorities. Among 300 respondents, 83% express concern about climate change, identifying drought as the most pressing environmental threat. The evolving desire for housing solutions that respond to specific needs highlights the need for more secure housing. This specifically calls for improvements in watertightness, pest resistance (especially against termites), and overall structural durability, as well as reducing maintenance effort, enabling houses to be enlarged, and improving their aesthetics. These findings provide critical insights into how rural populations in western Kenya are experiencing and responding to climate-related stressors. By foregrounding community perspectives, the study informs the development of adaptive, resilient, and contextually appropriate architectural solutions. It contributes to broader discourses on climate adaptation, vernacular design, and inclusive development strategies in Sub-Saharan Africa, reinforcing the imperative to align architectural innovation with both environmental imperatives and cultural realities. Full article

The vegetative insecticidal protein Vip3Aa from Bacillus thuringiensis (Bt) has become a key plant-incorporated protectant (PIP) in transgenic crops targeting lepidopteran pests, particularly as resistance increasingly compromises the efficacy of Cry protein PIPs. More than a decade after its commercial deployment, Vip3Aa performance remains efficacious but increasingly vulnerable. Field screens have detected unexpectedly high baseline frequencies of Vip3Aa-resistant alleles and have produced highly resistant strains in several major pests, including Helicoverpa spp., Spodoptera spp., and Mythimna separata. Although structure–function experiments and studies on resistance to Vip3Aa have identified altered midgut processing and impaired receptor binding as candidate resistance mechanisms, the underlying genetic determinants remain poorly understood. Moreover, resistance to Vip3Aa appears to diverge from canonical Cry protein resistance pathways, underscoring the need for dedicated mechanistic studies. This review critically examines the available experimental evidence on Vip3Aa resistance mechanisms, highlighting major knowledge gaps and proposing research priorities to inform resistance monitoring and extend the durability of Vip3Aa-based pest control. Full article

The Grapholita dimorpha is one of the significant borer pests that primarily damage plum, pear, and apple trees, often resulting in substantial economic losses in fruit production. However, the potential distribution range of this economically important pest remains poorly understood. In this study, we simulated an optimized maximum entropy (MaxEnt) model to predict the spatiotemporal distribution pattern of G. dimorpha and identified its underlying driving factors. The results indicate that suitable habitats, under current bioclimatic conditions, are mainly distributed in eastern China, northeastern China, Korea, and Japan, covering a total of 273.5 × 10⁴ km². The highly suitable habitats are primarily located in Korea and parts of central Japan, with a total area of 19.8 × 10⁴ km². In future projections, the suitable area is expected to increase by 17.74% to 62.10%, and the suitable habitats are predicted to shift northward overall. In particular, there are more highly suitable habitats for G. dimorpha in China and Japan compared to their predominance in Korea under current climatic conditions. The bio9 and bio18 contribute 51.9% and 20.7% to the modeling, respectively, indicating that the distribution of G. dimorpha may be shaped mainly by the mean temperature of the driest quarter and precipitation of the warmest quarter. In summary, the distribution range predicted, particularly for regions with highly suitable habitats, poses a high risk of G. dimorpha outbreaks, emphasizing the priority of pest monitoring and management. Furthermore, the key bioclimatic variables identified could also provide crucial reference for pest monitoring. Full article

Maize is one of the three staple grains, and its global demand has risen sharply in recent decades. However, insect pests are causing significant production losses. Despite this, few studies have yet investigated future range shifts in major insect pests affecting maize. Here, we used a unified framework to build 24 multi-algorithm models to forecast their future range shifts under future climate change scenarios (SSP126 and SSP585, representing optimistic and pessimistic scenarios, respectively). Habitat suitability was projected to increase in most regions. Significant range expansions were identified for all of them, with future climate changes being the primary driver for most. High-range overlaps were predominantly observed in the USA, Mexico, and other regions. We also identified species showing the largest ranges and range shifts, suggesting the priority species in our strategies against their impacts on maize. The relative roles of climate and crop availability in the range dynamics of major insect pests affecting maize could be, to a certain extent, determined by whether they are monophagous on crop hosts or not. High-range overlap in key maize-producing regions highlights the substantial threat they pose to global maize production. Therefore, mitigating future climate changes could be a crucial strategy to reduce their impacts on future maize production. Full article