Search Results (225)

Beekeeping is a profitable and mind-relaxing practice; however, monitoring beehives poses significant challenges, such as consuming time and potentially disturbing hive equilibrium, which may lead to colony collapse. Developing precision beekeeping (PB) systems is crucial to assist beekeepers in decision-making, automate redundant hive maintenance, and enhance the security and comfort of bee life. This review systematically explores research on PB systems, based on a keyword-driven search of Scopus and Web of Science databases, yielding 46 relevant publications. The analysis highlights a notable increase in research activity in the field since 2016. The integration of advanced technologies, including machine learning, cloud computing, IoT, and scenario-based communication methods, has proven instrumental in predicting hive states such as queen status, enemy attacks, readiness for harvest, swarming events, and population decline. Commonly measured parameters include hive weight, temperature, and relative humidity, with various sensors employed to ensure precision while minimizing bee disturbance. Additionally, bee traffic monitoring has emerged as a critical approach to assessing hive health. Most studies focus on honeybees rather than stingless bees and, in the context of enemy identification, Varroa destructor is the primary target. This review underscores the potential of novel technologies to revolutionize apiculture and enhance hive management practices. Full article

The western honey bee (Apis mellifera) represents a key pollinator for both crops and wild plants, and its global decline raises serious concerns for ecosystem stability and agricultural productivity. Several biotic and abiotic factors are responsible for colony losses, including alterations in the bee microbiota, which is essential for host metabolism, development, and immune responses. In this study, we employed both molecular protocols and metagenomic approaches based on Next-Generation Sequencing (NGS) to characterize the microbial composition and identify commensal, symbiotic, and pathogenic microorganisms, both known and emerging, associated with A. mellifera colonies from 20 apiaries across the Italian territory. Molecular screening revealed Vairimorpha ceranae, Lotmaria passim, Crithidia mellificae and several viruses, including Sacbrood virus (SBV), Black Queen Cell virus (BQCV), Deformed Wing virus (DWV), Chronic Bee Paralysis virus (CBPV) and Acute Bee Paralysis virus (ABPV). 16S rRNA gene sequencing highlighted a bacterial community mainly composed of the Lactobacillus, Gilliamella, and Snodgrassella genera. Virome analysis detected members belonging to the families Dicistroviridae and Iflaviridae, as well as previously unreported viruses in Italy, such as Apis rhabdovirus (ARV-1, ARV-2), Bee Macula-like virus (BeeMLV), and Lake Sinai virus (LSV). This research expands current knowledge of the A. mellifera metagenome, offering valuable insights for epidemiological surveillance and diagnostic assay development. Full article

Queen bees form the core of honeybee colonies for reproduction, and their quality is the most critical factor affecting their reproductive and productive performance. In apicultural production, queen rearing requires beekeepers to perform manual larval grafting. This is strongly limited by the beekeepers’ eyesight and technical proficiency and has become a bottleneck restricting the development of modern apiculture. To overcome this long-standing technical challenge, we designed beeswax-based tools for queen rearing without grafting larvae for Apis mellifera. The tools consist of three core components: a single-sided hollow beeswax comb foundation, beeswax larval holders and beeswax queen cells with a hole at the bottom. The holders are paired with the hollows of the beeswax comb foundation and the hole of the beeswax queen cells. Following the construction of the comb by honeybees on the hollow foundation, the queen was confined to lay eggs on the single-sided comb. Subsequently, larval holders containing eggs or larvae were pulled out, assembled with beeswax queen cells, embedded in the buckles of queen-rearing frames, and placed into colonies for queen rearing. In order to verify the feasibility of the tools, a paired comparative experiment was conducted using Apis mellifera, with the tools as the treatment group and manual larval grafting as the control group. We evaluated multiple key indicators, including acceptance rate of queen cells, queen cell length at emergence, emergence rate, weight of newly emerged queen, morphological indices (thorax length/width, forewing width, hindwing length, head width), ovariole number and the relative mRNA expression of four queen development-related genes (Vg, Hex110, Hex70b, Jhamt). No significant differences were observed in queen cell acceptance rate and emergence rate between the two groups. However, compared with the control group, queens reared using the tools exhibited significantly greater queen cell length at emergence, higher emergence weight, superior morphological traits, more ovarioles and significantly upregulated expression of all four assayed genes. In conclusion, the tools can be used to rear high-quality Apis mellifera queens effectively with superior phenotypic and molecular traits compared to conventional grafting, which provides efficient and convenient queen-rearing tools for beekeepers. Full article

We developed an intelligent acoustic health monitoring system for honeybee colonies based on wingbeat frequency analysis, offering a practical solution for modernizing apicultural practices. The system employs a three-layer architecture—the Internet of Things, fog, and cloud—to achieve real-time, non-invasive hive condition assessment. At the edge level, a Raspberry Pi and low-noise microphone continuously capture in-hive audio, which is converted into spectrograms using short-time Fourier transform (STFT). These are analyzed by a deep learning classification model deployed on the fog layer to distinguish four critical queen-related states: original queen present, queen absent, new queen rejected, and new queen accepted. The cloud layer supports data storage, visualization, and model refinement through manual annotations. Our results show that both the vision Transformer and CNN models perform effectively in classifying complex hive states, each contributing to the overall classification task, demonstrating the system’s potential for improving colony management and early intervention. This work contributes to precision apiculture by enabling scalable, real-time queen status monitoring through acoustic sensing and deep learning. Full article

In honey bees, reproductive division of labor is maintained by social suppression of worker fertility, yet queen loss can trigger ovary activation in workers. Here, we tested whether endogenous dopaminergic signaling is progressively remodeled across successive stages of ovarian activation and how these changes relate to key hormone pathways. Newly emerged Apis mellifera workers were introduced into queenright or queenless colonies, collected after 14 days, and classified as having inactive, partially activated, or fully activated ovaries. We quantified brain dopamine and measured expression levels of genes involved in dopamine synthesis, transport, metabolism, and reception in both brain and ovary tissues, together with transcriptional markers of juvenile hormone (JH) and 20-hydroxyecdysone (20E) signaling. Brain dopamine increased with ovary activation and peaked in fully activated workers, coincident with elevated transcripts of tyrosine hydroxylase, dopa decarboxylase, dopamine transporter, and arylalkylamine N-acetyltransferase in the brain. Dopamine receptor genes were stable in the brain but were remodeled in the ovary, with Amdop1 increasing and Amdop3 decreasing during activation. Markers of JH signaling and ovarian 20E pathway activity also rose with ovarian development, consistent with early endocrine priming following queen loss. Collectively, these results support an integrated neuroendocrine framework in which dopaminergic remodeling and hormone pathway activation jointly accompany worker reproductive activation under queenless conditions. Full article

The aim of this study was to identify chemical formulations that stimulate Apis mellifera colony development by enhancing queen egg-laying under protein-supplemented conditions. Feeding trials were conducted in early spring, when natural food sources are scarce. The experiment was conducted in two Romanian apiaries and included four treatment groups. Three formulations included protein-enriched bee food: two standard variants and one supplemented with essential fatty acids. All were administered alongside behavioral stimulants (T1–T3). A fourth treatment served as a control, containing only protein-based food without brood pheromones or additional stimulants (T4). Pheromone blends were formulated based on brood-emitted volatiles identified by solid-phase microextraction-gas chromatography coupled with mass spectrometry (SPME–GC–MS). The effects of the treatments were evaluated by measuring queen egg-laying and brood area development. Results showed that treatments based on brood ester pheromones (BEP)–T1 and a fatty acid blend (FAB)–T3 significantly stimulated queen egg-laying and brood production, with comparable performance and a slight advantage for T3. In contrast, combining BEP with a fatty acid-supplemented protein diet (T2) produced a moderate effect, consistent with regulated lipid intake in honey bee colonies. These findings indicate that brood-associated semiochemicals, combined with protein supplementation, can effectively stimulate colony growth. Full article

Viral infections pose a major threat to honey bee health. While viruses are typically controlled indirectly through efforts of attaining Varroa resistance, the heritable trait suppressed in ovo virus infection (SOV) provides a direct avenue for selecting virus resistance. This study evaluated the potential of this trait using data collected within an established mass breeding selection program. Drone egg samples collected from honey bee colonies in Flanders (2015–2024) were screened for four viruses to determine the queen’s SOV status. Queens are classified as SOV-positive if no viral particles are detected in their sample, and as SOV-negative if genomic material from at least one of these viruses is present. The proportion of SOV-positive queens significantly increased over time, regardless of maternal background, and targeted breeding from SOV-positive maternal lines enhanced the likelihood of producing SOV-positive offspring. Simultaneously, the prevalence and viral load values of several viruses decreased over time. These findings demonstrate that selective breeding for SOV-positivity can improve virus resistance in managed honey bee populations. There is even a potential to raise the SOV trait occurrence by incorporating targeted mating within selection programs. Therefore, future research should focus on the combined selection for SOV through targeted breeding and mating, alongside Varroa-resistant traits. Full article

Cuba is in a unique situation in which it has a large (220,000 managed colonies) and isolated honey bee population due to a 60+ year ban on the importation of bees. Despite this, the ectoparasitic mite Varroa destructor arrived in 1996, and with it came deformed wing virus (DWV). In 2018, an island-wide survey detected varroa and DWV in 91% of colonies. In this study, we conducted a full-virome analysis on some of these samples, along with additional samples collected in 2021. For the first time, we detected two variants of Lake Sinai Virus and confirmed the absence of the normally widespread black queen cell virus in Cuba. We also detected both DWV-A and DWV-B master variants, with DWV-B being the dominant variant. Interestingly, the DWV-B/A recombinant was also detected, indicating that despite Cuba’s isolated nature, the pattern of DWV evolution mirrors that found in the USA and Europe. However, this pattern is not found in neighboring Latin America, China, or Japan, where the DWV-A master variant continues to be dominant. How and why two distinct evolutionary DWV pathways have arisen remain a mystery. Full article

This study aimed to determine the presence of relevant infectious and parasitic agents (IPAs) in managed honeybees from Central Italy and the Republic of Kosovo and Albania to assess the overall health status of local apiaries by determining the contamination levels and co-occurrence. Therefore, pathogens and parasites such as Paenibacillus larvae, Melissococcus plutonius, Vairimorpha apis, V. ceranae, the acute bee paralysis virus (ABPV), black queen cell virus (BQCV), chronic bee paralysis virus (CBPV), deformed wing virus variants DWV-A and DWV-B, and the parasitoid flies Megaselia scalaris and Senotainia tricuspis were detected by quantitative polymerase chain reaction (qPCR) and reverse transcriptase qPCR (RT-qPCR) in clinically healthy adult honeybees collected from 187 apiaries in the Abruzzo and Molise regions of Central Italy, 206 apiaries in the Republic of Kosovo in 2022 and 2023 and 18 apiaries in Albania in 2022. The percentages of positive samples and contamination for V. ceranae, P. larvae and DWV-B were significantly higher in the Republic of Kosovo and Albania, while the percentages of samples positive for M. plutonius, CBPV, DWV-A, and the parasitoid flies were higher in Central Italy. Additionally, P. larvae and some viruses showed significantly different occurrence rates between the two years in Italy and the Republic of Kosovo. The co-occurrence of IPAs also differed between the two geographic areas. Their varying distribution could depend on epidemiological dynamics, climatic factors, and management practices specific to each country, whose relative impact should be defined to guide targeted interventions to reduce honeybee mortality. Full article

This paper addresses the limitations of genetic algorithms in solving the Flexible Job-Shop Scheduling Problem (FJSP) including slow convergence, susceptibility to local optima, and sensitivity to parameter settings. The paper proposes an Improved Genetic Algorithm based on Reinforcement Learning (IGARL). First, a hybrid population selection mechanism that combines the Queen Bee Mating Flight (QBMF) strategy with the Tournament Selection (TS) method is introduced. This mechanism significantly accelerates convergence by optimizing the population structure. Second, a dynamic population update strategy based on tunnel vision, termed the Solution Space Diversity Awakening (SSDA) strategy, is developed. When the population becomes trapped in local optima, this strategy intelligently triggers random perturbations and introduces high-potential individuals to enhance the algorithm’s ability to escape local optima and promote population diversity. Third, a novel multi-Q-table reinforcement learning framework is embedded within the iterative process to dynamically adjust key genetic algorithm parameters (such as selection, mutation, and crossover rates) and enable multi-dimensional performance evaluation, thereby effectively guiding the search toward better solutions. Experimental results demonstrate that the IGARL algorithm achieves a 10% to 60% improvement in convergence speed on Brandimarte benchmark instances, with solution quality significantly surpassing that of the basic genetic algorithm. Moreover, the fluctuation of the average optimal solution remains within 20%, indicating strong stability and robustness. Full article

Queen bee larvae, a by-product of royal jelly production, represents a largely underutilized yet promising economic resource. Numerous studies have shown that these larvae are rich in proteins, amino acids, fatty acids, and minerals, indicating high nutritional value. Research has also highlighted their bioactivities, including anti-aging, anti-inflammatory, and antioxidant properties. This review summarizes the current knowledge on the nutritional composition and biological functions of queen bee larvae, providing a scientific foundation for their comprehensive utilization. The findings support their potential applications in food science and health-related industries. Full article

This study aimed to investigate the presence of known bee viruses in the European hornet (Vespa crabro, Linnaeus, 1758), a species recognized as a bee predator in Hungary. Several viruses affecting honeybees (Apis mellifera, Linnaeus, 1758), such as deformed wing virus (DWV), sacbrood virus (SBV), chronic bee paralysis virus (CBPV), and acute bee paralysis virus (ABPV), have been documented in various wasp species. For instance, DWV has been frequently isolated in Vespa orientalis (Linnaeus, 1761), and ABPV has been detected in V. orientalis. Additionally, viruses like Kashmir bee virus (KBV) and Black queen cell virus (BQCV) have been confirmed in other wasp species such as Vespula germanica and Vespa velutina. Despite this, data on virus presence in V. crabro remain limited. Between August and October 2023, we tested 40 adult V. crabro workers, collected from Kiskunlacháza and Vácduka, for viral infections using polymerase chain reaction (PCR). Our results confirmed the presence of genetic material from DWV and ABPV infection in adult workers of the European hornet, which showed no morphological alterations. This study provides the first detection of DWV (in Hungary) and ABPV in V. crabro, contributing to our understanding of virus transmission pathways in wasp species and their potential impact on bee populations. Full article

Varroa destructor remains a major threat to honey bee (Apis mellifera) health, requiring effective and sustainable control strategies. In this study, a formic acid-based product (Formic Pro™) was tested for its varroacidal efficacy and effects on hygienic behavior of honey bee colonies. Sixty hives were assigned to three groups: Formic Pro group (n = 30), Positive control treated with amitraz (n = 15), and untreated Negative control (n = 15). Efficacy was assessed by daily mite drop counts, while hygienic behavior was evaluated before and after treatment using the “pin-killed” brood method. The Formic Pro group achieved a mite mortality rate of 88.37% ± 0.23, while amitraz as a control exerted 94.30% ± 0.95 efficacy. The treatment was well tolerated, with no queen losses, minimal and transient brood effects, followed by brief bearding on the first day of trial. Hygienic behavior significantly increased in the Formic Pro group (PCC from 96.69% to 99.01%, p < 0.001), while it declined in the Negative control and remained unchanged in the Positive control group. These results demonstrate that the tested formic acid-based product provides high acaricidal efficacy which is tolerated well in colonies and that it stimulates a key behavioral defense mechanism through hygienic behavior, providing benefits both for Varroa control and colony resilience. Full article

In honeybees (Apis mellifera L.), the queen ensures the reproduction of the colony. Environmental contamination that could alter this function could compromise the survival of the colony. Ionizing radiation could be such a factor, but its effects have never been studied in queens. The effects of gamma irradiation on queen bees were evaluated under laboratory conditions. The queens were irradiated for 14 days at dose rates of 0.1, 13, and 3500 µGy/h, and mortality, reproductive potential, and several physiological biomarkers were investigated. Irradiation did not affect the survival of the queens or the number of sperm stored in the spermatheca. However, sperm viability and reproductive potential decreased significantly at 13 and 3500 µGy/h. Among the biomarkers analyzed (antioxidant defenses, detoxification, metabolism, immunity, neural activity), no significant differences were observed between the modalities, with the exception of an increase in thoracic LDH activity at 13 µGy/h, confirmed by multivariate analyses indicating metabolic changes. These results show that ionizing radiation does not induce lethality at the tested dose rates, but significantly impaired fertility and metabolism of queen bees, with potential consequences for colony stability, whose ecological significance remains to be confirmed under field conditions. Full article

Stingless bees, particularly Tetragonula pagdeni, are vital for both ecosystems and the economy due to their pollination services and nest products. However, little is known about their nesting habits. This study investigated the nesting ecology of Tetragonula pagdeni in West Bengal, India. The species was found inhabiting a variety of landscapes, including agricultural, forest, rural, semi-urban, and urban areas, with a greater abundance in rural areas featuring mixed vegetation. Colonies, which were eusocial, perennial, and cavity-nesting, occupied diverse substrates, including tree trunks, building walls, rock crevices, electric poles, and field ridges—tree trunks and walls being the most common. Wild nests were located at heights ranging from 0 to 13.46 m, mostly around 2 m. Nest entrances varied in shape (circular, oval, slit-like, or irregular), with a longest opening axis of 10.50 ± 2.94 mm, and were oriented in multiple directions. Internally, nests measured 198.31 ± 86.36 mm in length and 142.73 ± 17.28 mm in width. Nests featured brood zones surrounded by honey and pollen pots, along with structure-supporting elements like the involucra and pillars. Brood cells were light brown and oval; those for workers and drones were similar, while queen cells were larger. Honey pots were light to dark brown, oval, dome-shaped, or irregular. Each involucrum was a thin, flat sheet, and the pillar was short, narrow, thread-like. These findings offer valuable insights into the distribution, nesting behaviour, and nest architecture of Tetragonula pagdeni, supporting its conservation and sustainable management. Full article