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This paper presents the concept of a Beekeeping Knowledge and Innovation System (B-KIS). This concept is closely related to the Agricultural Knowledge and Innovation System (AKIS) – both theoretically and methodologically. By adopting a B-KIS approach we can: a) depict the general structure and functioning of activities aiming for knowledge development, innovation and learning within the apicultural sector; b) improve understanding of how services for beekeepers are embedded into national B-KIS; and c) provide some conceptual elements to support the development of a national or regionally adapted communication strategy for improved sustainability of beekeeping. From a policy perspective, it is important that the B-KIS becomes integrated into the national strategic AKIS plans. [ABSTRACT FROM AUTHOR]

Beekeeping in Piauí is an activity that contributes to job and income opportunities mainly through honey extraction, but it faces barriers to productive diversification and regional deconcentration. In this sense, it is necessary to understand the structure of honey production in order to reveal potential alternatives for the economic expansion of the activity. Therefore, the research question is: what is the spatial economic structure of honey production in Piauí between 2000 and 2021? The hypothesis is that honey production in Piauí is structurally concentrated over time and economically rigid, without productive transformations capable of increasing diversification and deconcentration. As a basis for solving the problem, the objective is to evaluate the economic formation of beekeeping in Piauí and the spatial statistical distribution of municipal honey production between 2000 and 2021. From a methodological point of view, the literature on the determining factors of the historical process of economic formation of beekeeping in the mentioned federation unit was reviewed. As an instrument of structural analysis of honey production quantity from IBGE (2023a), descriptive statistics and Exploratory Spatial Data Analysis (ESDA) were used, according to Agresti and Finlay (2012) and Almeida (2012), respectively. Some of the results indicate that: honey production in Piauí is structurally concentrated over time in the Southeast mesoregion and in the Alto Médio Canindé microregion, where there are favorable environmental conditions; and economically, beekeeping is non-diversified and focused on honey production, without structural transformations for productive diversification and deconcentration. [ABSTRACT FROM AUTHOR]

Six Corsican essential oils (EOs) from Humulus lupulus were studied for their activity against Varroa destructor adults and Apis mellifera pupae. The GC/MS analysis of EOs showed that the major compounds of all accessions were α-Humulene, Myrcene, α-Selinene, β-Selinene, (E)-β-Farnesene, and (E)-β-Caryophyllene. Bioassays showed that EOs from each accession acted as toxins and repellents against V. destructor adults, with lower toxicity towards A. mellifera pupae. In terms of efficacy against V. destructor adults, Smaragd 2020 oil displayed the highest performance, with LC50 and LC90 values of 2.33 and 7.83 µL/L air, respectively. Meanwhile, Smaragd 2019 and Tettnanger EOs showed moderate toxicity, with LC50 values of 3.101 and 3.66 µL/L air, along with LC90 values of 11.67 and 19.89µL/L air, respectively. The oils from Biguglia and Ajaccio were strongly repellent to Varroa adults. At the lowest concentration (2 µL/mL), these EOs exhibited percentage of repellence greater than 70% after 2h exposure, with RC50 values of 1.66 and 1.26 µL/L air, respectively. Concerning their insecticidal effects, EOs demonstrate reduced toxicity towards bee pupae when compared to Varroa mites. Notably, Ajaccio stands out for inducing lower mortality among bee pupae, with a selectivity ratio below 2 and LC50 of 11.25 µL/L air. [ABSTRACT FROM AUTHOR]

Land use change (LUC) alters habitat quality and the provision of ecosystem services that affect economic activities, such as beekeeping. For beekeeping, landscapes reveal individual decisions that determine its productive potential, thus, landscapes can be considered a common pool resource. To understand how land use preferences shape scenarios that suggest the aggregated effects of decisions on beekeeping in agricultural landscapes, a participatory valuation and an economic choice game were conducted in field workshops in Veracruz, México. We found that, although participants valued land use benefits differently, they integrated common benefits to create scenarios that sustained beekeeping, but these decisions were sensitive to external factors that disincentivize collective action. In addition, characteristics positively associated with collective action at the individual and group levels differ, suggesting emerging group identities. Exercises like these allow the exploration of CPR in complex scenarios such as landscapes, to understand the dynamics of individual and group preferences. [ABSTRACT FROM AUTHOR]

Beehive products, particularly pollen, are among the foodstuffs that may contain pyrrolizidine alkaloids (PAs), prompting concern due to their negative effects on humans, such as hepatotoxic potential. Based on these aspects, this study represents the first investigation into eight PAs present in samples of bee bread (n = 16) and commercial pollens (n = 15) from Brazil utilizing liquid chromatography coupled to mass spectrometry in tandem. Our findings showed the presence of at least two PAs in all samples analyzed (n = 31), with monocrotaline, senecionine, senecionine N-oxide, and retrorsine emerging as the most frequently abundant in the Brazilian samples. The PAs sum varied widely (from 268 to 263,849 µg kg−1), with 77.4% of the samples exceeding the maximum limit established by the European Union (500 µg kg−1). Therefore, this study demonstrates that bee pollen and bee bread are foods with high levels of PAs and highlights that further studies related to PAs and beehive products are necessary so that actions are taken to minimize risks to consumers and safeguard the beekeeping industry. [ABSTRACT FROM AUTHOR]

Societal Impact Statement Summary Humans and honey bees have a long history of interaction to yield valued products and services. However, honey bees are under pressure from changes in vegetation, agricultural practices and climate change. We investigate if pasture legumes can be harnessed to support honey bees. We use a diverse set of species that originated from the Mediterranean and western Europe but are now developed as commercial cultivars for the southern Australian livestock industries. We find that pasture legumes show great promise as a means to support honey bees and suggest that further targeted research is warranted. Globally, humans and honey bees (Apis mellifera) have a long history of interaction and this is now under pressure. In temperate southern Australia, exotic honey bees rely on an unstable native floral resource base, yet a diverse set of exotic pasture legume species are sown as staple rotational or permanent crops. We investigated if these pasture legumes could be strategically used to support honey bee populations for the apiary and horticulture industries in this region. A literature review on temperate pasture legumes and honey bees was undertaken and integrated with data from an Australian industry case study. Comparisons were made to the widely‐grown red clover (Trifolium pratense) and white clover (T. repens). We found that many southern Australian pasture legumes could provide significant floral resources as well as enhanced temporal and spatial stability for honey bees due to phenological variability and broad adaptation. Honey bees will likely recognise and be attracted to their flowers and other characteristics are comparable, or potentially superior, to red and white clover, such as floret number per inflorescence, floret length, nectar volume and sucrose‐dominance and pollen protein. The floral resource diversity from pasture legume mixes could aid honey bee health and support pollinator services for adjacent crops. We conclude that the exotic pasture legumes of temperate Australia show promise for development as a sown floral resource for honey bees. Globally, further investigation is merited to maximise benefits from the integration of a diverse range of pasture legumes into agricultural landscapes. [ABSTRACT FROM AUTHOR]

Due to the lack of scientific guidance, most migratory beekeepers currently arrange their migratory beekeeping routes by experience. The production mode is extensive, and the quality and efficiency need to be improved. Therefore, this study investigates a dynamic migratory route recommendation problem considering the stochastic yield of nectar sources and uncertain disastrous weather events, by which the beekeeper can dynamically follow the practical and effective recommended route to cope with production risk to reach a better revenue. To this end, the problem is first formulated as a Markov decision process considering various flowering durations of nectar sources, migration costs and time, the prices of bee products, and, most importantly, uncertain yields. Then, an approximate dynamic programming algorithm incorporated with offline and online learning procedures is proposed to deal with the curse of dimensionality. Several acceleration methods are also provided to solve the problem more efficiently. The conducted numerical study shows that the proposed model and algorithm perform well in approximation precise and computational efficiency. Finally, the computational results show that the proposed migratory beekeeping route recommendation method effectively deals with yield uncertainty and significantly improves the migratory beekeeping revenue. [ABSTRACT FROM AUTHOR]

Background: Research into the genetic diversity of honey bee (Apis melliferaL.) populations has become increasingly significant in recent decades, primarily due to population declines attributed to human activities and climate change. As a species of great importance, breeding programs that leverage understanding of genomic diversity could offer solutions to mitigate these challenges. The objective of this study was to examine the genomic diversity and population structure of Carniolan honey bees (Apis mellifera carnica) using the Illumina SNP chip on a large honey bee sample collected from Central and South-Eastern European countries. The study also aims to offer recommendations for future breeding programs. Results: Our analysis involved Discriminant Analysis of Principal Components (DAPC), heterozygosity, admixture analysis, fixation indices (FST), Neighbour-Joining tree, gene flow and Isolation-by-distance analysis. DAPC indicated distinct separation between the Carniolan and Italian honey bee (Apis mellifera ligustica) populations, whereas the admixture analysis revealed varying levels of gene flow and genetic admixture within the Carniolan honey bee populations, demonstrating closer relationships between specific geographic regions (confirmed by Isolation-by-distance analysis). Furthermore, the research of heterozygosity, genomic inbreeding, pairwise FST values, and Neighbour-Joining tree provided insights into the patterns of genetic differentiation and similarity among the populations of Carniolan honey bee within its natural habitat. We have observed genetic homogeneity of the Carniolan honey bee population when considered in a broader genetic/geographical context. However, the Carniolan honey bee has sufficient genetic diversity in its geographical home range that needs to be carefully monitored and maintained. Conclusions: This study provides important insights into the genetic composition, differentiation, and relationships among Carniolan honey bee populations in Central and South-Eastern European countries. The findings are crucial for conservation efforts, breeding programs, and sustainable beekeeping practices. They emphasise the importance of considering genetic factors and population structure in the breeding and management of honey bees. By understanding these genetic relationships, we can develop strategies to preserve genetic diversity, improve breeding outcomes, and ensure the resilience of honey bee populations in the face of environmental changes and challenges. This knowledge can also inform policy makers and stakeholders on best practices to maintain healthy bee populations, which are vital for ecosystem services and agricultural productivity. [ABSTRACT FROM AUTHOR]

Beekeeping has faced increasing difficulties during the past decades, among which is the decline in floral resources. Agriculture provides essential floral resources for beekeeping, but some farming practices have also been shown to be responsible for their decline. To provide floral resources for beekeeping, what type of agricultural transformation should be promoted, and how? To answer these questions, we still lack knowledge about the floral resources that are used by beekeeping and about the technical-economic obstacles that farmers face in implementing more favorable farming practices, particularly in agropastoral settings. To help fill these gaps, we develop a novel approach that frames both agropastoral farming and beekeeping as farming systems, by characterizing the beekeeping systems of a given place, the floral resources they use, and the impacts these farming systems have on floral resources. This approach is applied to the agropastoral landscapes of Mount Lozère, southern France, using a methodology based on semi-structured interviews with farmers and beekeepers addressing the agronomical functioning of their farms. We demonstrate that the floral resources used by beekeepers on Mount Lozère are threatened by the current dominant agricultural development paths, which seek to maximize the material productivity of labor. Such paths lead to the intensification of agricultural practices in harvested areas and the extensification of rangelands. These pathways are reinforced by the low remuneration of agropastoral labor and by the current rules of the European Union Common Agricultural Policy. "Frugal" farming, a farming system based on reduced inputs and investments, and labor-intensive practices, namely, a labor-intensive use of pasture, seems an effective way to produce floral resources. Both, agropastoral farmers and beekeepers, would benefit from an increase in the number of agricultural workers in agropastoral landscapes. This calls for public policies that promote a better remuneration of agropastoral labor, either directly or by driving market mechanisms. [ABSTRACT FROM AUTHOR]

Pollinators are fundamental for plant reproduction in natural and agricultural ecosystems. However, their populations are declining worldwide, threatening the functioning of the ecosystem service they provide. The factors driving this change are manifold, but land use changes and interspecific transmission of pathogens between managed and wild bees are prominent. In this context, most research efforts have focused on specific taxa and rarely at the community level, limiting our ability to fully understand the effects of global change on the functioning of plant–pollinator interactions in ecosystems. Here, we investigate the impact of human activities (beekeeping and land use intensity) on the spread of an emergent pathogen Vairimorpha ceranae in Mediterranean wild bee communities inhabiting landscapes with varying levels of anthropogenic disturbance. Plant–pollinator interactions were sampled in nine one‐hectare plots along a gradient of land use (urban structures, croplands and natural vegetation) and beekeeping intensity. We analysed the impact of human disturbances on pollination networks and pathogen prevalence, and applied a network approach to examine whether total effects of species in networks (i.e. direct plus indirect interactions) explain pathogen spread through bee communities. We found that V. ceranae prevalence in honey bees is not a good predictor of the pathogen spread through bee communities. There seems to be a temporal mismatch between pathogen dynamics in managed and wild bees. Networks with more diversity of interactions and more plants showed less pathogen prevalence, but total effect analyses (i.e. combining direct and indirect interactions) failed to explain pathogen transmission across pollination networks. Croplands increased wild bee density, and interactions and species diversity in networks, while shrublands had the opposite effect. Our results highlight the importance of studying pathogen dynamics at the community level and analysing species interaction patterns to improve our understanding of pathogen spread through communities. [ABSTRACT FROM AUTHOR]

The honey bee subspecies native to Saudi Arabia, Apis mellifera jemenitica Rutter, is currently being threatened by genetic pressure from exotic subspecies imported by commercial beekeepers. Uncontrolled interbreeding between native and exotic subspecies could dilute advantageous adaptations and give rise to new haplotypes that are not well suited for Saudi Arabia’s harsh climate. In this study, we analyzed the mitochondrial haplotypes and parasitization patterns by Varroa destructor mites in commercial beekeeping operations across Southwestern Saudi Arabia. We sampled 300 workers from five randomly chosen colonies at each of the eleven apiaries from December 2022 to February 2023. We extracted DNA from two workers per colony for analysis of the mitochondrial COI-COII region and assessed the remaining workers for mite infestation levels. We also haplotyped a subgroup of mites. All 55 colonies analyzed belonged to the A. m. jemenitica subspecies, which is part of the Z subgroup of the A lineage. Mitochondrial genome analysis revealed ten distinct haplotype sequences at four of the eleven locations. The average (± SEM) number of mites per 100 workers across all sites was 1.95 ± 0.96 and was below a 3% infestation threshold at nine of the eleven locations. All tested mites belonged to the Korean haplotype. The Al-Riyan, Al-Radha, and Khaitaa apiaries had both, no novel haplotypes, and the lowest Varroa mite infestation levels. This study could ultimately inform a colony selection process for the implementation of a breeding program aimed at improving honey bee productivity in Southwestern Saudi Arabia. [ABSTRACT FROM AUTHOR]

• Pollen analysis is vital to determine the geographical and botanical origins of honey. • The pollen percentage is used to distinguish honey as monofloral or multifloral. • The dominant pollen source is identified. • Twenty five percent of the samples exhibited a high diversity index. Melissopalynology plays a pivotal role in identifying and managing the geographical and botanical origins of honey. In this study, forty-five honey samples were collected from three potential districts in the North Wollo zone, Ethiopia. The pollen grains of these samples were analyzed using the procedures outlined by the International Commission for Bee Botany (ICBB) to determine the botanical sources of the honey. Among the samples, twenty-five were classified as monofloral, while the remaining twenty were identified as multifloral honey. Nineteen plant species from twelve different plant families were identified as the honey bee floras in the North Wollo zone. The dominant families, representing over 45% of the pollen grains in the samples, were Asteraceae (9 samples), Myrtaceae (5 samples), Papilionaceae (4 samples), Fabaceae (2 samples), Hypericaceae (2 samples), Acanthaceae (1 sample), Brassicaceae (1 sample), and Ericaceae (1 sample). Bidens spp., Trifolium rueppellianum, and Eucalyptus globulus emerged as the top three honey bee floras in terms of relative percentage and frequency. Furthermore, eleven samples exhibited a high diversity index range (H) of 1.56% in Lasta and 1.01% in the Meket districts, while the remaining thirty-four samples showed a lower diversity index ranging from 0.31 to 0.99. Our findings underscore the importance of conserving bee floras to enhance honey production and ensure sustainability in beekeeping practices in the North Wollo Zone. [ABSTRACT FROM AUTHOR]

Honeybees maintain their growth and reproduction mainly by collecting nutrients from nectar-source plants. Apis cerana , a unique species of honeybee in China, is capable of sporadically collecting nectar. In traditional beekeeping, sugar syrup or a honey-water solution must be artificially fed to bees to supplement their diet during rainy weather or nectar-deficient periods. In this study, 2 groups of honeybee colonies were each fed sugar syrup or a honey-water solution, and a third group consisting of colonies that were allowed to naturally forage without any dietary supplement was used as the control. The effects of the 2 sugar sources on A. cerana worker bee offspring were compared. The results showed that the sugar source affected the lifespan and learning memory of the worker bee offspring. The lifespan, learning memory ability, and expression of related genes in the sugar syrup group were significantly lower than those in the honey-water solution and natural nectar foraging groups (P  < 0.05). A honey-water solution supplement was more beneficial to the healthy development of worker bee offspring than a sugar syrup supplement when the colonies lacked dietary resources. These findings provide a theoretical basis that can guide beekeepers in choosing the appropriate dietary supplements for honeybees. [ABSTRACT FROM AUTHOR]

Veterans experience higher risks of suicide and mental health disorders due to the traumas of military service, disabilities, and the difficulties of reassimilation into civilian life. Therapeutic interventions using humananimal interactions have shown promising results in reducing many risk factors affecting veterans' quality of life. This quality improvement project sought to consider if veterans participating in a recreational therapy program focused on beekeeping and administered by the Department of Veteran Affairs would experience quality of life improvements using a standardized EQ-5D-5L assessment. Our results indicate significant changes in mobility, anxiety/depression, and overall health for veterans participating in beekeeping as a recreational therapy. Implications for practice and future research are presented. [ABSTRACT FROM AUTHOR]

Increasing crop diversity is a way for agriculture to transition towards a more sustainable and biodiversity-friendly system. Growing buckwheat intercropped with paulownia can contribute not only to mitigating climate change but can also enrich the environment with species of agricultural importance, without causing a decline in pollinators, since buckwheat is pollinated mainly by the honeybee. In a field experiment comparing growing buckwheat with paulownia against a monoculture crop, we investigated differences in flower visitation and beekeeping value, as well as the associated impact on crop yields. We analysed the effect of intercropping on the beekeeping value of buckwheat in terms of bee population size and the sugar mass in buckwheat flowers, nectar mass in buckwheat flowers, the quality of the delivered raw sugar and biometric characteristics. We found significant differences in the number of branches on the main shoot and the total number of branches. Significantly higher parameters were obtained in sites with buckwheat monoculture. The cultivation method variant did not cause differentiation in either the structure elements or the yield itself. Yields ranged from 0.39 (2021) to 1.59 (2023) t·ha−1. The average yield in intercropping was slightly lower (0.02 t·ha−1) than in the monoculture system of buckwheat (0.93 t·ha−1). More flowers per plant per day of observation and more flowers in millions of flowers per hectare per day of observation were observed in the intercropping of buckwheat with paulownia. Based on our experiment, we concluded that growing buckwheat in monoculture significantly increased the number of flowers, resulting in an increase in pollinator density and an increased number of pollinators per unit area. [ABSTRACT FROM AUTHOR]

The conservation of the genetic integrity of Apis mellifera subspecies has emerged as an important objective. In 2019, the Emilia-Romagna region became the first Italian regional authority to issue a law specifically addressing the protection of the native Apis mellifera ligustica subspecies. In this study we analysed a highly informative portion of the mitochondrial DNA (mtDNA), widely used for assessing genetic diversity of honey bee populations. By analysing 1143 honey bees sampled after the introduction of this law, we provided a snapshot of the distribution of mtDNA haplotypes in this region. The two most frequent mtDNA haplotypes were C1 (characteristic of A. m. ligustica) and C2 (characteristic of A. m. carnica), reported in 86.5% and 11.0% of the analysed bees, respectively. About 1.3% and 1.1% of the analysed bees carried mtDNA haplotypes of the A and M lineages (haplotypes A1a, A1e, A4, A26, A65 and two novel ones, A2w and A6a; M3, M3a, M4 and M79). Continued genetic monitoring will be important to assess the impact of this regional law over the coming years. Based on the obtained results, we recommend a more stringent policy to prevent the erosion of the genetic integrity of the native subspecies A. m. ligustica. [ABSTRACT FROM AUTHOR]

Apiculture has presented significant growth in the last decades in Europe and worldwide. According to the Food and Agriculture Organization (FAO), there were 25.1 million bee colonies in Europe in 2021, with most of them being located in the southeastern countries. Smart technologies have invaded almost every pillar of agriculture, including apiculture. Modern apiculture is rather more nomadic than sedentary. Nomadism in beekeeping requires monitoring the settlement of bee colonies, in more than one place per year, in order to select more honey and pollen and contribute to the overall growth of the bees. To this scope, it is efficient to monitor and have wide control of bees remotely, in parallel with other smart applications, in order to prevent crises that would affect bee survival and/or yield production. The objectives of this paper are to outline a series of automation systems in apiculture used as a means towards the optimization of bee apiary management processes. Four beekeepers' case studies were used to demonstrate how sensors and communication means transfer multiple bee-related data from various bee apiary locations to a single control system. The methodology was based on input/output data evaluation, risk prioritization based on real data, and feedback to the beekeeper based on the potential risks. Based on the results, the most significant risks are related to bad weather conditions, varroa mites, and bee colony health. Furthermore, the beekeeper is able to optimize the whole management, operations, and strategic planning throughout the year. Last, it should be noted that the presented remote monitoring system will never substitute the necessity of traditional beekeeper visits, but it contributes to minimizing them based on the monitored daily data. [ABSTRACT FROM AUTHOR]

Environmental pollution with pesticides as a result of intensive agriculture harms the development of bee colonies. Bees are one of the most important pollinating insects on our planet. One of the ways to protect them is to relocate and build apiaries in populated areas. An important condition for the development of bee colonies is the rich species diversity of flowering plants and the size of the areas occupied by them. In this study, a methodology for detecting and distinguishing white flowering nectar source trees and counting bee colonies is developed and demonstrated, applicable in populated environments. It is based on UAV-obtained RGB imagery and two convolutional neural networks—a pixel-based one for identification of flowering areas and an object-based one for beehive identification, which achieved accuracies of 93.4% and 95.2%, respectively. Based on an experimental study near the village of Yuper (Bulgaria), the productive potential of black locust (Robinia pseudoacacia) areas in rural and suburban environments was determined. The obtained results showed that the identified blooming area corresponds to 3.654 m2, out of 89.725 m2 that were scanned with the drone, and the number of identified beehives was 149. The proposed methodology will facilitate beekeepers in choosing places for the placement of new apiaries and planning activities of an organizational nature. [ABSTRACT FROM AUTHOR]

Colony collapse disorder (CCD) has caused widespread death of honeybees, but the exact causes are not understood. Many scientists agree that pathogenic threats most likely contribute to CCD. Due to the integral ecosystem role bees fulfill, it is important to understand how honeybees respond immunologically to different factors to better inform practices to combat CCD. Quantifying the immunological cost of two different beekeeping approaches allows us to better understand how beekeeping practices affect bees' susceptibility to CCD. Within colonies, a plastic frame foundation provides structural support for the creation of honeycomb. Production of beeswax is energetically costly for colonies to produce, possibly causing energetic stress that may affect the colony's ability to fight pathogens. Two colonies were maintained, one with an internal plastic foundation on their frames and one without. We collected bees from each colony and extracted their hemolymph to quantify both their basal and activated immunological protein levels. Protein levels were higher in bees from the no foundation colony. Prophenoloxidase (PPO) activity trended toward higher levels in the no foundation colony, although this was not statistically significant. This suggests that lack of foundation causes the bees to have a higher protein turnover based on their energetic requirements, increasing their ability to fight off immunological threats. [ABSTRACT FROM AUTHOR]

Since beekeeping is directly dependent on land-use patterns, beekeeping is much more affected by land-use changes than other sectors. As land-use changes have accelerated over the past decade, beekeeping is becoming more vulnerable and the need to monitor the response of the honey bee colonies to land-use changes is more important than ever. In this study, land-use changes were identified and future projections were made to determine whether the study area will provide new opportunities for beekeeping or whether valuable land will be irretrievably destroyed. One of the main objectives of this study is to show the future trends of the Turkish apicultural sector and its response to land-use changes along with changes in agriculture, forests, urban and natural plant areas in 2025, 2040 and 2050. The results show that by 2050, a total of 2840 km2 of fruit tree, 883.2 km2 of agricultural area will increase, and 1481.4 km2 of forest area will be lost. Since the largest expansion is expected in fruit trees (citrus in the study area), land-use changes were assessed by analyzing honey statistics for citrus and the contribution of honey bees to citrus pollination to verify the reliability of the predictions. [ABSTRACT FROM AUTHOR]

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A study was conducted on honey production in Imo state of Nigeria, with a focus on the health and economic dimensions of the industry. The research was carried out using a multi-stage sampling procedure, and a sample size of 80 honey-producer respondents was selected. Data was collected through a well-structured questionnaire and analyzed using descriptive and inferential statistics. The study found that honey producers in the area had a mean age of 51 years, 11 years of education, 21 years of farming/beekeeping experience, and a household size of 6 persons. The average annual household income was €709.10, with a farm size/number of hives kept of 72 hives per farmer and a quantity of honey produced per annum of 145 litres. The cost and returns analysis showed that the cost of production of honey per litre and profit per litre were €0.40 and €2.40, respectively. The study also determined the nutritional uses and health benefits of honey (e.g. healing wounds, treating ulcers, controlling sore throats and colds, boosting immunity, and as an antibacterial agent). Several factors, including uncontrolled bush burning, bee forage shortage, deforestation, theft of beehives, colony absconding, and poor agricultural practices which strongly constrain honey production has been observed. It is concluded that honey production is a very profitable venture with numerous uses and health benefits and venturing youths into honey production as a source of livelihood should be encouraged, and extension education should be tailored to technologies in beekeeping and the identification of genuine honey to minimize the success of adulteration, among others. [ABSTRACT FROM AUTHOR]

In 2017, the European Commission initiated the EurBeST study to explore the possibilities of using selective breeding of honey bees to increase Varroa resistance traits. One of the specific aims of the study was to assess the process of honey bee queen breeding through an economic analysis. The methodology for calculating the costs of queen production (queen rearing and mating), colony evaluation and expenses for estimating breeding values is based on the Cost of Production (CoP). Cost data were collected via tailor-made questionnaires and interviews performed in five European countries (France, Germany, Greece, Italy, and Poland). The sample population consisted of 20 queen producers and 20 performance testers who participated in the study. The results showed that the average costs for queen production amounted to 22.58 € per queen, ranging from 8.22 € in Poland to 37.30 € in France. The difference between the selling price and the production cost was on average 3.08 € per queen, ranging from 15.86 € in Germany to −12.30 € in France. On average, the colony evaluation costs were 193.40 € per colony. The average cost for breeding value estimation per queen was 8.09 €. Thus, the average total cost per selected queen was 224 €. The selective breeding of honey bees is an efficient way to increase productivity, reduce colony losses, improve bee health and enable profitable operations, but it is expensive, is usually promoted, practiced and implemented by scientists and researchers, and in most cases is financed by external sources. [ABSTRACT FROM AUTHOR]

Abstract Background Research into the genetic diversity of honey bee (Apis mellifera L.) populations has become increasingly significant in recent decades, primarily due to population declines attributed to human activities and climate change. As a species of great importance, breeding programs that leverage understanding of genomic diversity could offer solutions to mitigate these challenges. The objective of this study was to examine the genomic diversity and population structure of Carniolan honey bees (Apis mellifera carnica) using the Illumina SNP chip on a large honey bee sample collected from Central and South-Eastern European countries. The study also aims to offer recommendations for future breeding programs. Results Our analysis involved Discriminant Analysis of Principal Components (DAPC), heterozygosity, admixture analysis, fixation indices (FST), Neighbour-Joining tree, gene flow and Isolation-by-distance analysis. DAPC indicated distinct separation between the Carniolan and Italian honey bee (Apis mellifera ligustica) populations, whereas the admixture analysis revealed varying levels of gene flow and genetic admixture within the Carniolan honey bee populations, demonstrating closer relationships between specific geographic regions (confirmed by Isolation-by-distance analysis). Furthermore, the research of heterozygosity, genomic inbreeding, pairwise FST values, and Neighbour-Joining tree provided insights into the patterns of genetic differentiation and similarity among the populations of Carniolan honey bee within its natural habitat. We have observed genetic homogeneity of the Carniolan honey bee population when considered in a broader genetic/geographical context. However, the Carniolan honey bee has sufficient genetic diversity in its geographical home range that needs to be carefully monitored and maintained. Conclusions This study provides important insights into the genetic composition, differentiation, and relationships among Carniolan honey bee populations in Central and South-Eastern European countries. The findings are crucial for conservation efforts, breeding programs, and sustainable beekeeping practices. They emphasise the importance of considering genetic factors and population structure in the breeding and management of honey bees. By understanding these genetic relationships, we can develop strategies to preserve genetic diversity, improve breeding outcomes, and ensure the resilience of honey bee populations in the face of environmental changes and challenges. This knowledge can also inform policy makers and stakeholders on best practices to maintain healthy bee populations, which are vital for ecosystem services and agricultural productivity.

Abstract The conservation of the genetic integrity of Apis mellifera subspecies has emerged as an important objective. In 2019, the Emilia-Romagna region became the first Italian regional authority to issue a law specifically addressing the protection of the native Apis mellifera ligustica subspecies. In this study we analysed a highly informative portion of the mitochondrial DNA (mtDNA), widely used for assessing genetic diversity of honey bee populations. By analysing 1143 honey bees sampled after the introduction of this law, we provided a snapshot of the distribution of mtDNA haplotypes in this region. The two most frequent mtDNA haplotypes were C1 (characteristic of A. m. ligustica) and C2 (characteristic of A. m. carnica), reported in 86.5% and 11.0% of the analysed bees, respectively. About 1.3% and 1.1% of the analysed bees carried mtDNA haplotypes of the A and M lineages (haplotypes A1a, A1e, A4, A26, A65 and two novel ones, A2w and A6a; M3, M3a, M4 and M79). Continued genetic monitoring will be important to assess the impact of this regional law over the coming years. Based on the obtained results, we recommend a more stringent policy to prevent the erosion of the genetic integrity of the native subspecies A. m. ligustica.

Pollinators and insects decline is now widely acknowledged. In this context, protected areas (PAs) serve as sanctuaries for biodiversity conservation and could offer a large range of habitats for insects. Here, we built a comprehensive questionnaire aimed to understand how French PAs managed and established actions related to wild and domestic pollinators to inspire ways to improve conservation planning. These actions include beekeeping, inventories of pollinators, installation of insect hotels, and public and professional communication. We reached out to all national parks (NPs), regional nature parks (RNPs), national nature reserves (NNRs), and regional nature reserves (RNRs) and received responses from all NPs, nearly half of RNPs, and dozens of NNRs and RNRs. PAs were categorized based on their pollinator support and actions using multivariate analysis, identifying four typologies: (1) small PAs that are actively engaged in wild pollinator conservation efforts and that limit beekeeping activities; (2) PAs that are actively engaged in wild pollinators conservation and allow beekeeping activities; (3) PAs less concerned by national coordination (tropical islands); and (4) PAs on the move, showing interest in pollinator conservation but so far minimally involved in it. A qualitative analysis identified primary obstacles: human and financial resource constraints, and availability of science and communication resources. Thus, PAs display a large variation in the pollinator conservation initiatives, sometimes underestimating the vital role of pollinators in plants reproduction and within food webs. Despite national protection plans, current initiatives within PAs may lack coordination and scientific support, limiting their effectiveness. [ABSTRACT FROM AUTHOR]

Apiculture has presented significant growth in the last decades in Europe and worldwide. According to the Food and Agriculture Organization (FAO), there were 25.1 million bee colonies in Europe in 2021, with most of them being located in the southeastern countries. Smart technologies have invaded almost every pillar of agriculture, including apiculture. Modern apiculture is rather more nomadic than sedentary. Nomadism in beekeeping requires monitoring the settlement of bee colonies, in more than one place per year, in order to select more honey and pollen and contribute to the overall growth of the bees. To this scope, it is efficient to monitor and have wide control of bees remotely, in parallel with other smart applications, in order to prevent crises that would affect bee survival and/or yield production. The objectives of this paper are to outline a series of automation systems in apiculture used as a means towards the optimization of bee apiary management processes. Four beekeepers’ case studies were used to demonstrate how sensors and communication means transfer multiple bee-related data from various bee apiary locations to a single control system. The methodology was based on input/output data evaluation, risk prioritization based on real data, and feedback to the beekeeper based on the potential risks. Based on the results, the most significant risks are related to bad weather conditions, varroa mites, and bee colony health. Furthermore, the beekeeper is able to optimize the whole management, operations, and strategic planning throughout the year. Last, it should be noted that the presented remote monitoring system will never substitute the necessity of traditional beekeeper visits, but it contributes to minimizing them based on the monitored daily data.

Abstract Background In recent decades, agricultural landscapes have been profoundly modified due to the intensification of agriculture, therefore leading to significant disturbances in all components of biodiversity. A survey on the knowledge of beekeeping realities and the use of phytosanitary products in areas of high honey production in Burkina Faso was carried out. Beekeeping realities design the state of beekeeping activities in the study localities. Methods The objective of this survey was to characterize Beekeeping operations and to assess the level of knowledge of beekeepers on the effects of the use of phytosanitary products through different beekeeping and agricultural practices. In this sense, 113 farmer beekeepers from the Boucle du Mouhoun, Hauts-Bassins and Nord regions in Burkina Faso were surveyed about their different beekeeping practices. Results The results obtained indicated that beekeeping is a secondary activity (96.47%) and is mainly practiced by men (90.27%). The respondents have mostly an average of 22 traditional hives. The majority of beekeepers have not received training (84.07%) on the hazards of plant protection products on their beekeeping farms. However, a large amount of beekeepers (70.73%) acknowledged that the use of plant protection products could be harmful to their activity. Hives are usually installed in or near the fields. The plant protection products used for crop protection are herbicides (27%), insecticides (23%), fungicides (8%), but especially mixed (42%). Conclusion The results show that beekeeping in Burkina Faso remains traditional and is practiced for sociocultural reasons. The use of pesticides close to beekeeping could play a role in bee colony collapse taking place in these regions. Training beekeepers on the dangers of the chemicals they use in fields near hives is therefore essential.

Abstract The objective of this study was to evaluate the effects of adopting enhanced beehive technology on the welfare of rural households engaged in beekeeping activities in Ethiopia. We examined the impact of adopting enhanced beehive technology on welfare outcomes in the Wonchi districts using a two-stage random selection process and propensity score matching (PSM) methodology. This research offers novel perspectives on the adoption of enhanced beehive technology and its influence on household welfare outcomes in the field of beekeeping. It employs a comprehensive analysis that takes into account several dimensions, such as income, welfare, and spending. Our research findings indicate that several characteristics have a favorable impact on the adoption of enhanced beehive technology. These factors include the gender of the household head, the size of the land, the marital status of the household head, as well as the availability of extension services, input and credit services, and the total number of animals owned. On the other hand, age, dependency ratio, and proximity to farmer training facilities negatively impact the adoption of technology. The analysis using Propensity Score Matching (PSM) methodology demonstrated that the adoption of technology had a favorable influence on the income, wealth, non-food expenditure, and food expenditure of households. However, it is important to acknowledge some limitations. As the study relied on cross-sectional data from a specific region, its findings may not be generalizable to other locations or time periods. Additionally, self-reported data is subject to biases. Other potential limitations are the omission of other factors that could influence welfare outcomes and limited assessment of long-term sustainability. Based on our research results, policymakers should prioritize efforts to understand the determinants that facilitate the acceptance and utilization of enhanced beehive technologies in order to enhance the overall well-being of rural households. Further research is needed to address the study limitations.

Precision Livestock Farming (PLF) is a mechanism that manages a production system. This mechanism includes mathematical models and controllable inputs that can predict inputs with processes and results that can be monitored periodically. These parameters of PLF systems can improve resource use efficiency and reduce cultivation costs. Many situations, such as the behaviour of animals on farms, their nutrition, estrus cycles, and epidemics, can be monitored with wearable devices containing various sensors. However, real-time monitoring of the data collected by these devices is possible with Internet of Things (IoT) technology. IoT is a multi-layered network that enables sensors within the system to communicate with each other and implement certain decisions when necessary. Sensors and IoT devices extract information from the raw data they collect from the environment, which is then shared with other objects, devices, or servers via the internet. The real-time data collection, processing, and analysis provided by IoT enables improvements in the management of animal farms. This systematic review addresses IoT concepts and applications in the livestock sector from a systematic perspective for different animal farms.

Today, thanks to the active development of beekeeping on an industrial scale, Ukraine has become one of the largest exporters of honey to the market of EU countries. In this regard, the government is working on introducing EU requirements in the field of beekeeping into Ukrainian legislation to support this positive trend in the development of the industry. However, the main component of information and analytical support for managing beekeeping products production – accounting needs to be updated. The article aims to study the method of accounting for beekeeping products, determine the features of this process, and develop proposals for improving synthetic and analytical accounting at enterprises engaged in beekeeping. It was found that Methodical recommendations on accounting of biological assets and National Accounting Standard 30 "Biological assets" do not allow clear identification of accounting objects by types of beekeeping products, complicating the process of organizing accounting at an agricultural enterprise. To solve this problem, the article defines a list of beekeeping's main, related and by-products and proposes a structure of analytical accounts for their accounting. The production specifics are considered, particularly the stages of work at the apiary in each season. Correctly adjusted synthetic and analytical accounting in beekeeping will allow the accountant to collect the necessary data for making management decisions and compiling various forms of reporting of agricultural enterprises. The structure of analytical accounts by the type of beekeeping products proposed by the author will allow timely monitoring of its presence and movement and contribute to improving apiary management. In addition, the research results can be used to develop methodical recommendations on accounting for beekeeping products.

Beekeepers represent a high-allergic risk population group due to their unavoidable seasonal or persistent exposure to the elicitors of Hymenoptera venom allergy, bees in particular. A systematic literature review and meta-analysis aimed to estimate the prevalence of self-reported systemic allergic reaction to Hymenoptera venom among beekeepers worldwide.

The honey bee (Apis mellifera) parasitic mite, Varroa destructor, is considered one of the main causes of colony losses in European honey bee (EHB) populations around the world. However, some EHB and Africanized honey bee (AHB) populations (derived from the African subspecies A. m. scutellata) that inhabit tropical and subtropical regions of the Americas, have survived varroa mite infestations in the absence of acaricide treatments. It is conceivable to expect that these honey bee populations, which have been subjected to natural selection over decades, would have developed resistance against V. destructor or possess pre-existing adaptations that allow them to survive mite parasitism. Here, we present a comprehensive literature review describing the spread of V. destructor and the honey bee populations occurring in Latin America (LA), and summarize the evidence of resistance of those populations to V. destructor. We also analyze reports describing the potential mechanisms of mite resistance and how they operate in those honey bee populations. Studies of a few EHB, as well as of numerous AHB populations exhibiting resistance to V. destructor in LA, unveil the existence of evolutionary adaptations that restrain V. destructor population growth and provide insight into the current host-parasite relationship. This review supports the notion that selective breeding of local honey bee populations from LA could be a viable strategy to manage varroa mite infestations in colonies. [ABSTRACT FROM AUTHOR]

Natural products of bee origin, despite their complex composition and difficulties in standardization, have been of high interest among scientists representing various disciplines from basic sciences to industrial and practical implementation. As long as their use is monitored and they do not impact human health, they can be considered valuable sources of many chemical compounds and are potentially useful in medicine, food processing, nutrition, etc. However, apart from honey, the general turnover of bee products lacks precise and detailed legal requirements ensuring their quality. The different residues in these products constitute a problem, which has been reported in numerous studies. All products derived from beekeeping are made by bees, but they are also influenced by the environment. Such a dual pathway requires detailed surveillance of hazards stemming from outside and inside the apiary. This should be ensured via harmonized requirements arising from the binding legal acts, especially in international and intercontinental trade zones. [ABSTRACT FROM AUTHOR]

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Taking into consideration that bees can be contaminated by pesticides through the ingestion of contaminated floral resources, we can utilize genetic techniques to assess effects that are scarcely observed in behavioral studies. This study aimed to investigate the genetic effects of ingesting lethal and sublethal doses of the insecticide fipronil in foraging honey bees during two periods of acute exposure. Bees were exposed to fipronil through contaminated honey syrup at two dosages (LD50 = 0.19 µg/bee; LD50/100 = 0.0019 µg/bee) and for two durations (1 and 4 h). Following exposure, we measured syrup consumption per bee, analyzed the transcriptome of bee brain tissue, and identified differentially expressed genes (DEGs), categorizing them functionally based on gene ontology (GO). The results revealed a significant genetic response in honey bees after exposure to fipronil, regardless of the dosage used. Fipronil affected various metabolic, transport, and cellular regulation pathways, as well as detoxification processes and xenobiotic substance detection. Additionally, the downregulation of several DEGs belonging to the olfactory-binding protein (OBP) family was observed, suggesting potential physiological alterations in bees that may lead to disoriented behaviors and reduced foraging efficiency. [ABSTRACT FROM AUTHOR]

The greater wax moth, Galleria mellonella L., poses a substantial threat to apiculture, adversely impacting wax quality and potentially acting as a disease vector. There is an urgent need to develop innovative and effective control strategies to address the challenges posed by this pest and ensure the sustainability of the apiculture industry. Spiro‐derivative compounds represent a novel class of environmentally safe compounds with high insecticidal properties. For example, they have demonstrated high efficacy against sap‐sucking insects such as aphids and whiteflies. However, their effect on chewing insects has not yet been well explored. In this study, we hypothesized that 4‐amino‐1‐azaspiro[4.5]dec‐3‐en‐2‐one (4A1AD), a spiro‐derivative compound, would exhibit efficacy against G. mellonella larvae. To test this hypothesis, we conducted dipping and feeding bioassays, incorporating varying concentrations of 4A1AD on fourth instar G. mellonella larvae, and recorded mortality, biochemical parameters including total soluble protein content and enzyme activities, and anatomical abnormalities resulting from treatment. Results revealed a significant increase in larval mortality with increased concentrations and treatment durations across both bioassays. Additionally, a significant decrease in protein content and an increase in phenol‐oxidase activity were observed with alterations in α and β‐esterase activities. Scanning electron microscope findings revealed abnormalities in larval cuticle, spiracular openings and legs. These findings demonstrated the efficacy of 4A1AD, indicating a potential alternative to conventional insecticides in promoting sustainable apiculture practices. Moreover, they provide valuable contributions to the development of novel strategies for effective pest management in apicultural settings. [ABSTRACT FROM AUTHOR]

Simple Summary: Interest in beekeeping has significantly increased in recent years. A basic understanding of the nutritional and physiological requirements of honeybees is of great interest to improve their welfare and honey yields. The unique anatomic features of the gastrointestinal tract of bees, which enable bees to make optimal use of their food resources, are extensively described in this review. Nectar, pollen, and resins are raw materials for the synthesis of honey, beeswax, propolis, and royal jelly by the honeybee. All of these products are used for nutrition or as food supplements for animals. In the context of these products, the legal requirements for the use of apiculture by-products in animal nutrition are highlighted. Honeybees are some of the smallest farmed animals, and apiculture by-products, e.g., honey, beeswax, propolis, royal jelly, and pollen contribute to animal nutrition. For the effective production of these by-products, the optimal development and nutrient supply of the honeybee is required. Beginning with the development of the mouth and anal pores on the second day of embryonic development, the digestive tract differentiates into the mouth and fore-, mid-, and hindgut during the pupal stage. The various glands within the oral cavity are particularly important, secreting enzymes and substances that are crucial for digestion and hive nutrition, e.g., invertase and royal jelly. Honeybees rely on a specialized caste system, with worker bees collecting nectar, pollen, water, and resin for the nutrition of the entire hive. Macronutrients, including proteins, carbohydrates, and lipids, obtained primarily from pollen and nectar, are essential for the growth and development of larvae and the overall health of the colony. Inadequate nutrient intake can lead to detrimental effects on larval development, prompting cannibalism within the hive. Apiculture by-products possess unique nutritional and therapeutic properties, leading to a growing interest in the use of honey, beeswax, propolis, and pollen as a feed additive. In recent years, the use of apicultural by-products in animal nutrition has been primarily limited to in vivo studies, which have demonstrated various positive impacts on the performance of farm animals. Honey, beeswax, propolis, royal jelly, and pollen are listed feed stuffs according to Regulation (EC) No. 68/2013. However, for animal nutrition there is not any specific legal definition for these products and no legal requirements regarding their ingredients as given for honey or beeswax in European food law. [ABSTRACT FROM AUTHOR]

Simple Summary: Honeybees are vital pollinators, essential for maintaining ecosystems and biodiversity, but there is rising concern about the health of managed honey bee colonies, especially in heavily human-influenced ecosystems. Multiple factors contribute to this decline, including environmental conditions, forage quality, and pesticide use. These elements have a complex effect on the health and nutritional status of honeybee colonies and influence their response to disease and various stressors. In this study, the authors propose a new approach to assess colony health by correlating common measures of colony strength such as honey and pollen reserves, the number of bees, and brood with hemolymph proteins, common bee pathogens (Varroa destructor and Nosema spp.), and essential trace elements (iron, zinc, and copper). Significant correlations were found between hemolymph proteins and colony performance measures, and between V. destructor and hemolymph proteins and iron content. In conclusion, this study confirms the need for a more holistic approach to honeybee health considering all the relevant aspects and critical points that may affect colony survival. Environment, forage quality, management practices, pathogens, and pesticides influence honeybee responses to stressors. This study proposes an innovative approach to assess colony health and performance using molecular diagnostic tools by correlating hemolymph proteins with common measures of colony strength, prevalent honeybee pathogens (Varroa destructor and Nosema spp.), and essential trace elements (iron, zinc and copper). Colonies were selected from four apiaries located in different environmental and foraging conditions in the province of Bologna (Italy). Hemolymph samples were taken from June to October 2019. The Varroa infestation of the colonies was estimated by assessing the natural mortality of the mites, while the bees were tested for Nosema spp. spores using a microscopic method. Hemolymph proteins were quantified and separated using SDS-PAGE, and colony performance was assessed by determining adult bees, total brood, honey, and pollen reserves. The biomarkers measured proved to be useful for monitoring changes in performance and trophic conditions during summer and early autumn. Significant correlations were found between hemolymph proteins and colony performance measures. A positive correlation between pollen reserves, vitellogenin, and hexamerin 70a highlights the importance of these proteins for successful overwintering. In October, Varroa infestation was negatively correlated with total proteins, vitellogenin, apolipophorin II, transferrin, and hexamerin 70a, with negative implications for overwintering; furthermore, Varroa infestation was also negatively correlated with iron content, potentially affecting iron homeostasis. [ABSTRACT FROM AUTHOR]

Resistance to and avoidance of stress slow aging and confer increased longevity in numerous organisms. Honey bees and other superorganismal social insects have two main advantages over solitary species to avoid or resist stress: individuals can directly help each other by resource or information transfer, and they can cooperatively control their environment. These benefits have been recognised in the context of pathogen and parasite stress as the concept of social immunity, which has been extensively studied. However, we argue that social immunity is only a special case of a general concept that we define here as social stress protection to include group‐level defences against all biotic and abiotic stressors. We reason that social stress protection may have allowed the evolution of reduced individual‐level defences and individual life‐history optimization, including the exceptional aging plasticity of many social insects. We describe major categories of stress and how a colonial lifestyle may protect social insects, particularly against temporary peaks of extreme stress. We use the honey bee (Apis mellifera L.) to illustrate how patterns of life expectancy may be explained by social stress protection and how modern beekeeping practices can disrupt social stress protection. We conclude that the broad concept of social stress protection requires rigorous empirical testing because it may have implications for our general understanding of social evolution and specifically for improving honey bee health. [ABSTRACT FROM AUTHOR]

The need of an automated support system that helps beekeepers maintain and improve beehive population was always a very stressing aspect of their work considering the importance of a healthy bee population. This paper presents a proof of concept, further referred as a PoC solution, based on the Internet of Things technology which proposes a smart monitoring system using machine learning processes, diligently combining the power of edge computing by means of communication and control. Beehive maintenance is improved, having an optimal state of health due to the Deep Learning inference triggered at the edge level of devices which processes hive's noises. All this is achieved by using IoT sensors to collect data, extract important features and a Tiny ML network for decision support. Having Machine Learning inference to be performed on low-power microcontroller devices leads to significant improvements in the autonomy of beekeeping solutions. [ABSTRACT FROM AUTHOR]