Colony Management Research Articles

Foraging behaviour and pollinator dynamics in lucerne crop of the Bundelkhand region: Implications for crop management in the subtropics

Abstract Pollination stands out as the paramount ecosystem service facilitated by insect pollinators, providing benefits to over three quarters of the world’s major crops. The conservation and effective management of honeybees constitute integral components for ensuring the sustainable productivity of cross-pollinated crops. The present study aimed to document the potential pollinators of lucerne in the Bundelkhand region in India, which is known for its subtropical climatic conditions. Further, the foraging behaviour, including foraging rate and speed, was meticulously documented. A total of 13 insect species from seven families across three insect orders were observed visiting lucerne flowers. Hymenopterans comprised the majority of the floral visitors (73.48%), followed by Lepidoptera (26.51%) during the study period. Among them, Apis dorsata (Hymenoptera: Apidae) emerged as the most predominant floral visitor, exhibiting peak activity at 12:00 h with a density of 7.85 bees/m2/10 min. Surprisingly, among the major floral visitors, A. florea has the highest mean foraging rate (number of flowers visited/minute/forager), i.e., 11.56, 11.59 and 10.79 bees/flowers/minute during the initial flowering stage, peak flowering stage and late flowering stage, respectively. However, the foraging speed (time spent by the forager on each flower) was longest in A. dorsata, i.e., 5.05, 3.78 and 5.41 s/flower during initial, peak and late flowering stages, respectively. The findings emphasize the importance of enhancing honeybee activity to boost lucerne seed yield. Further, the outcomes of the study can be leveraged to optimize honeybee colony management, scheduling field operations such as pesticide application and weeding during periods of minimal honeybee activity.

In vivo fertilization improved the cryotolerance and developmental ability of vitrified-warmed rat fertilized oocytes

The cryopreservation of rat embryos is useful for efficiently archiving rat resources in bioresource repositories. The cryopreserved fertilized oocytes can be quickly reanimated to rats with homozygous mutations using embryo transfer. In addition, cryopreserved rat fertilized oocytes are easier to transport than live animals. Before cryopreservation, fertilized oocytes are obtained by mating or in vitro fertilization. However, it is not clear which fertilized oocytes are most suited to cryopreservation. In this study, we performed a systematic comparison of the fertilizing ability, cryotolerance, and developmental ability of cryopreserved fertilized oocytes at the pronuclear stage produced either by mating (in vivo) or in vitro fertilization (in vitro) in SD and F344 rats. In vivo-fertilized oocytes had higher cryotolerance and developmental ability than in vitro-fertilized oocytes in SD and F344 rats. Furthermore, the fertilization ability, cryotolerance, and developmental ability of vitrified-warmed fertilized oocytes differed between SD and F344 rats. In conclusion, our study suggests that in vivo-fertilized rat oocytes were more suitable for cryopreservation. Our protocol provides an optimized system for the management of rat colonies using fertilized oocytes cryopreservation and contributes to the 3Rs principle by reducing the number of animals used for research.

Evaluation of a gel-based versus micro-pellet diet for adult zebrafish (Danio rerio).

Ad libitum feeding of laboratory zebrafish has potential benefits for colony management, but would require a new type of diet, such as a gel that remains in the tank. We hypothesized that adult zebrafish fed a gel diet would have similar body size and reproductive success compared with those fed a standard micro-pellet diet. The gel diet’s impact on water quality was determined to be safe for zebrafish prior to starting a 12-week feeding study. Two hundred adult AB zebrafish of mixed sex were randomly assigned to be fed exclusively either gel or micro-pellet diet. Fish body length and mass were measured every two weeks, and fish were bred within each feed group to assess fecundity. Zebrafish consumed less gel diet than expected. Body length, mass, and breeding success were lower in the gel diet fish than in the micro-pellet diet fish. Low consumption of the gel diet and/or nutritional differences between the two diets may have contributed to reduced growth and fecundity. Though the gel diet could reduce time personnel spend feeding and be safer for fish in static tanks, the tested formulation was not a satisfactory alternative to the control micro-pellet diet in a research zebrafish colony.

Investigating the lipid profile of Anopheles stephensi mosquitoes across developmental life stages

Holometabolous insects undergo a distinct transition in their development, tightly correlated with shifting feeding patterns from larval stages and some adult phases to non-feeding phases as pupae and during other adult phases. Furthermore, the intricate life cycle of mosquitoes involves a sequence of developmental stages influenced by aquatic and terrestrial factors, demanding precise energy resource orchestration. Lipids serve multifaceted roles, encompassing energy storage, membrane structure, and participation in signal transduction and molecular recognition processes. A significant gap in the current research landscape is the need for a comprehensive study exploring the lipid repertoire throughout the developmental stages of Anopheles stephensi mosquitoes. We undertook an analysis of the An. stephensi metabolome across all life stages. We hypothesized that An. stephensi mosquitoes will have unique lipid metabolite markers for each life stage. A specific extraction and LC-MS based lipidomic approach was used to test this hypothesis. Our findings demonstrated that our methods were successful, with lipids comprising 62.15 % of the analyzed metabolome. Additionally, phospholipids (PL), lysophospholipids (LPL), sphingomyelin (SM), and triglycerides (TG) were abundant and dynamic across all life stages. Interestingly, comparison between the L1 and L2 lipidome revealed a dominant pattern of specific TGs in decreased abundance between these two life stages. Lastly, 20-hydroxyecdysone (20E), was found to be present in similar abundance across all 4 larval stages. These data indicate that there may be lipid metabolome pathways serving unique roles during mosquito development that may be used to explore laboratory management of colonies, parasite resistance, and environmental adaptation.

Diagnostic study on major honeybee disease, pests and predators in North Western Ethiopia.

The study was conducted in Pawe district from Benishangul-Gumuz and Jawi and Fagita Lekoma districts from the Amhara region to investigate major honeybee pests, predators and diseases. Using a purposive sampling technique, 183 households were interviewed, and 240 samples were collected for laboratory analysis of bee disease; data were analysed using descriptive statistics. The share of hive types owned by sampled respondents was 88.6%; overall, 1.1% and 10.3% were traditional, transitional and modern beehives, respectively. About 92% of the sample respondents acquired their base colonies by catching swarm bees on the apex of trees. The majority of beekeepers executed external inspections of their colony, whereas only 50% carried out internal inspections. Based on the responses of beekeepers, around 48.9%, 56.3% and 23.1% of colonies absconded every year from Pawe, Jawi and Fagita Lekoma districts, respectively. Ants, wax moths, bee lice, beetles, spiders, birds, monkeys and honey badgers were the major honeybee pests and predators discovered in study areas in decreasing order. Concerning the incidence of Varroa mites, Nosema apis and amoeba disease, 27.5%, 60% and 71.6% of samples showed positive results in study locations, respectively. From this result, we observed that ants, wax moths, bee lice, beetles, spiders, birds, monkeys and honey badgers were the major honeybee pests and predators. The prevalence of amoeba disease was comparatively higher in highland areas and in the summer season. This finding suggests the need for the alertness of beekeepers in controlling bee disease and pests and strengthening bee colonies through seasonal colony management. There should be a strict quarantine, and check-up undertaken when a new colony is purchased from one region to another is essential.

A machine learning-based multiclass classification model for bee colony anomaly identification using an IoT-based audio monitoring system with an edge computing framework

Approximately one-third of human food is derived from flowering plants, and 80% of those plants require honeybees for pollination. However, climate change is affecting bees as well as the beekeeping industry. Having continuous information on the condition of honey bee colonies would be helpful in studying new diseases such as colony collapse disorder, as well as in developing novel beekeeping tools to improve the health management of bee colonies. In this study, an audio monitoring system is established based on Internet of Thing (IoT) technology to record the sounds produced by bees. A colony status classification model coupled with a machine learning algorithm is used to analyze the sound data of bee colonies under various treatments to classify the colony conditions, such as queenless, virus-infected, and pesticide-contaminated. With an edge computing framework, the classification is done by the monitoring system, which greatly reduces data transmission delay and cloud computing burden. The field test results show that the accuracy andF1-score for the classification model for the beehive under various treatments reach 98.8% and 0.98, respectively.The proposed IoT-based audio monitoring system for beehives can assist beekeepers and users in managing bee colonies more effectively by providing automatic, accurate, and real-time monitoring information regarding the current colony conditions.

Current Status and Challenges of Improved Bee Keeping Technology Adoption in Ethiopia: A Review

The aim of this review is to give an overview of current modern beekeeping technologies in Ethiopia and to highlight once again the challenges of adopting beekeeping technology. Bee-keeping in Ethiopia is common and one of the agricultural activities. Ethiopia is the leading honey producer in Africa and is one of the ten largest producers in the world (with around 23.6% of the African and 2.1% of the world production. Despite the long tradition of beekeeping in Ethiopia having the highest bee density and being the leading honey producer as well as one of the largest bee waxes exporting country in Africa, the share of sub sector in the GDP has never been commensurate with huge number of honey colonies and the country’s potential for beekeeping. To increase production and productivity of honey and bee wax, different improved technologies have been used in the last 7-10 year. Backyard beekeeping can not only be conducted with traditional, but also with transitional or modern beehives. Lack of bee-keeping equipment (like modern beehives, wax molds, honey extractors, queen excluders) and accessories, training on beekeeping technology, awareness creation, extension contact and market problem were the major determinant factors of adoption of modern beekeeping technology. Despite variations in distribution and adoption levels, the utilization of beekeeping technology has now commenced across all regions of the nation hives, adding and reducing supper. The management of bee colonies constitutes a fundamental aspect of contemporary beekeeping practices within the country. Beekeeping equipment and accessories must be readily available to beekeepers, with a significant focus on enhancing productivity and implementing proper management techniques for contemporary beehives. Such measures have the potential to enhance the likelihood of beekeepers adopting and utilizing modern beehive technology.

Genetic characterization of a captive marmoset (Callithrix jacchus) colony using genotype-by-sequencing.

The marmoset is a fundamental nonhuman primate model for the study of aging, neurobiology, and many other topics. Genetic management of captive marmoset colonies is complicated by frequent chimerism in the blood and other tissues, a lack of tools to enable cost-effective, genome-wide interrogation of variation, and historic mergers and migrations of animals between colonies. We implemented genotype-by-sequencing (GBS) of hair follicle derived DNA (a minimally chimeric DNA source) of 82 marmosets housed at the Southwest National Primate Research Center (SNPRC). Our primary goals were the genetic characterization of our marmoset population for pedigree verification and colony management and to inform the scientific community of the functional genetic makeup of this valuable resource. We used the GBS data to reconstruct the genetic legacy of recent mergers between colonies, to identify genetically related animals whose relationships were previously unknown due to incomplete pedigree information, and to show that animals in the SNPRC colony appear to exhibit low levels of inbreeding. Of the >99,000 single-nucleotide variants (SNVs) that we characterized, >9800 are located within gene regions known to harbor pathogenic variants of clinical significance in humans. Overall, we show the combination of low-resolution (sparse) genotyping using hair follicle DNA is a powerful strategy for the genetic management of captive marmoset colonies and for identifying potential SNVs for the development of biomedical research models.

Research on Wireless Multimedia Big Data Transmission Model Based on Non-linear Algebraic Equation with the Adaptive Scheduling Algorithm

With the rapid development of computer technology, image processing and automatic book recognition has become a very important and practical field, and this discipline has a broad prospect and great potential. The digital vision system is a multi-plane information analysis method based on the human brain, which is applied to library identification problems by studying several regular changes in the distribution of objects themselves in two-dimensional space and three-dimensional position, in order to improve book quality and reduce costs. In addition, digital reading devices have become an essential part of people's daily learning life, and multimedia retrieval methods have also undergone radical changes, image processing is becoming more and more complex, and algorithms must become more efficient and reliable as the amount of computing increases to a certain level, so as to adapt to this fast and powerful data storage and query needs. Therefore, the trend is to improve the speed and reliability of computer systems. In this research, we provide a nonlinear model of optimal allocation employing an ant colony management strategy, a genetic operator, and an adaptive scheduling algorithm based on topology (dB) to discover the best scheduling scheme and test its feasibility via simulation. It proposes a viable idea for tackling the practical wireless multimedia massive data transmission model problem by applying the method to the real-time processing process in other sectors with high importance and resilience.

Evaluating the role of social context and environmental factors in mediating overwintering physiology in honey bees (Apis mellifera).

In temperate climates, honey bees show strong phenotypic plasticity associated with seasonal changes. In summer, worker bees typically only survive for about a month and can be further classified as young nurse bees (which feed the developing brood) and older forager bees. In winter, brood production and foraging halt and the worker bees live for several months. These differences in task and longevity are reflected in their physiology, with summer nurses and long-lived winter bees typically having large fat bodies, high expression levels of vitellogenin (a longevity-, nutrition- and immune-related gene), and large provisioning glands in their head. The environmental factors (both within the colony and within the surrounding environment) that trigger this transition to long-lived winter bees are poorly understood. One theory is that winter bees are an extended nurse bee state, brought on by a reduction in nursing duties in autumn (i.e. lower brood area). We examined that theory here by assessing nurse bee physiology in both the summer and autumn, in colonies with varying levels of brood. We found that season is a better predictor of nurse bee physiology than brood area. This suggests that seasonal factors beyond brood area, such as pollen availability and colony demography, may be necessary for inducing the winter bee phenotype. This finding furthers our understanding of winter bee biology, which could have important implications for colony management for winter, a critical period for colony survival.

The behavioural costs of overcrowding for gregarious cave-dwelling bats.

Bats are known for their gregarious social behaviour, often congregating in caves and underground habitats, where they play a pivotal role in providing various ecosystem services. Studying bat behaviour remains an underexplored aspect of bat ecology and conservation despite its ecological importance. We explored the costs and impacts of overcrowding on bat social behaviour. This study examined variations in bat behavioural patterns between two distinct groups, aggregated and non-aggregated male Rousettus amplexicaudatus, within the Monfort Bat Cave Sanctuary on Mindanao Island, Philippines. We found significant variations in the incident frequencies of various bat behavioural activities, particularly aggression and movement, between these two groups. The increase in aggregation was closely related to negative social behaviour among bats. In contrast, sexual behaviour was significantly related to the positive behaviour of individual bats and was headed in less crowded areas. The disparities in bat behaviour with an apparent decline in bat social behaviour because of overcrowding, with more aggressive behaviours emerging, align with the 'behavioural sink' hypothesis. Our study underscores the importance of considering habitat quality and resource availability in the management and conservation of bat colonies, as these factors can reduce the occurrence of aggressive and negative social behaviours in colonies with high population density by providing alternative habitats.

The effects of protein supplementation, fumagillin treatment, and colony management on the productivity and long-term survival of honey bee (Apis mellifera) colonies.

In this study, we intensively measured the longitudinal productivity and survival of 362 commercially managed honey bee colonies in Canada, over a two-year period. A full factorial experimental design was used, whereby two treatments were repeated across apiaries situated in three distinct geographic regions: Northern Alberta, Southern Alberta and Prince Edward Island, each having unique bee management strategies. In the protein supplemented treatment, colonies were continuously provided a commercial protein supplement containing 25% w/w pollen, in addition to any feed normally provided by beekeepers in that region. In the fumagillin treatment, colonies were treated with the label dose of Fumagilin-B® each year during the fall. Neither treatment provided consistent benefits across all sites and dates. Fumagillin was associated with a large increase in honey production only at the Northern Alberta site, while protein supplementation produced an early season increase in brood production only at the Southern Alberta site. The protein supplement provided no long-lasting benefit at any site and was also associated with an increased risk of death and decreased colony size later in the study. Differences in colony survival and productivity among regions, and among colonies within beekeeping operations, were far larger than the effects of either treatment, suggesting that returns from extra feed supplements and fumagillin were highly contextually dependent. We conclude that use of fumagillin is safe and sometimes beneficial, but that beekeepers should only consider excess protein supplementation when natural forage is limiting.

Establishing a Mouse Genotyping Core Facility Based on Automation, High-resolution Melting Analysis, and Purpose-developed MATLAB Applications for Sample Tracking, Data Analysis, and Report Generation

An in-house genotyping facility should aim to be more cost-effective than outsourced service and more reliable than genotyping performed by short-term employees or students of individual research groups. Reliable genotyping allows efficient and economical management of mice colonies and promotes accurate and reproducible research results. Here we provide a detailed description of our approach to establishing a genotyping core facility, relying on automated PCR assembly and high-resolution melting (HRM) analysis (first derivative). The workflow we devised was tightly managed by purpose-designed applications developed using MATLAB App Designer that allowed straightforward work planning, ensured sample tracking throughout the process, and provided a platform for reliable data analysis and generation of genotyping reports. We successfully transitioned PCR product analysis of more than 250 different target genes from standard gel electrophoresis to the more advanced HRM analysis. About 23% of the target genes required a redesign of primers to adapt to our protocol. The process was highly universal, and only 2% of the target genes required deviation from the standard PCR method to a more restricted protocol that reduces the amplification of nonspecific products. We currently run more than 1,000 PCR reactions weekly, of samples taken at weaning or experimental endpoint, and assemble a large variety of target genes in every PCR plate. We also showed that genotyping of blastocytes instead of embryos can serve as quality control of cryopreservation. Thus, our genotyping protocol promotes the 3Rs (Replacement, Reduction, and Refinement) principles. Our refined genotyping process facilitates cost-effective colony management, replaces tissue types as well as traditional methods with advanced ones, and provides reliable results in a timely manner. MATLAB codes and related data are available in supplementary materials and online.

Establishing a Mouse Genotyping Core Facility Based on Automation, High-resolution Melting Analysis, and Purpose-developed MATLAB Applications for Sample Tracking, Data Analysis, and Report Generation.

An in-house genotyping facility should aim to be more cost-effective than outsourced service and more reliable than genotyping performed by short-term employees or students of individual research groups. Reliable genotyping allows efficient and economical management of mice colonies and promotes accurate and reproducible research results. Here we provide a detailed description of our approach to establishing a genotyping core facility, relying on automated PCR assembly and high-resolution melting (HRM) analysis (first derivative). The workflow we devised was tightly managed by purpose-designed applications developed using MATLAB App Designer that allowed straightforward work planning, ensured sample tracking throughout the process, and provided a platform for reliable data analysis and generation of genotyping reports. We successfully transitioned PCR product analysis of more than 250 different target genes from standard gel electrophoresis to the more advanced HRM analysis. About 23% of the target genes required a redesign of primers to adapt to our protocol. The process was highly universal, and only 2% of the target genes required deviation from the standard PCR method to a more restricted protocol that reduces the amplification of nonspecific products. We currently run more than 1,000 PCR reactions weekly, of samples taken at weaning or experimental endpoint, and assemble a large variety of target genes in every PCR plate. We also showed that genotyping of blastocytes instead of embryos can serve as quality control of cryopreservation. Thus, our genotyping protocol promotes the 3Rs (Replacement, Reduction, and Refinement) principles. Our refined genotyping process facilitates cost-effective colony management, replaces tissue types as well as traditional methods with advanced ones, and provides reliable results in a timely manner. MATLAB codes and related data are available in supplementary materials and online.

Diversity of Bee Floral Resources and Honey Production Calendar in Ethiopia’s Southwest Shoa Zone

Bee flora resources are essential for the development of beekeeping. This study aimed to identify the diversity of key bee forage plants, establish honey harvesting calendars, and assess different types of monofloral honey in the area. Data collection methods included a bee plant inventory, pollen collection, and honey pollen analysis. A total of 122 plant species were identified as bee plants, with 44.26% being shrubs and 27.87% being trees. These bee plants were distributed across three districts, accounting for 37.40% of the plant species, indicating a broader ecological distribution than local species. Wonchi district exhibited the highest diversity of bee plants (H′ = 4.7), followed by Waliso (H′ = 4.55). Three honey harvesting periods were identified: November, January, and June. Additionally, three distinct types of monofloral honey were produced: Erica arborea honey in January, Eucalyptus camaldulensis honey in June, and Guizotia scabra honey in November. A shortage of bee forages was noted in February, March, July, and August across all districts. The southwest Shoa zone (comprising Wonchi, Waliso, and Amaya districts) shows potential for sustainable and commercial beekeeping based on the available bee flora resources. To ensure sustainability, it is crucial to maintain the existing bee flora and increase the propagation of multipurpose plant species. Additionally, on‐farm demonstrations highlighting the importance of floral and honey calendars for effective colony management are recommended.

High prevalence and diversity of Toxoplasma gondii DNA in feral cat feces from coastal California.

Toxoplasma gondii is a zoonotic parasite that can cause severe morbidity and mortality in warm-blooded animals, including marine mammals such as sea otters. Free-ranging cats can shed environmentally resistant T. gondii oocysts in their feces, which are transported through rain-driven runoff from land to sea. Despite their large population sizes and ability to contribute to environmental oocyst contamination, there are limited studies on T. gondii oocyst shedding by free-ranging cats. We aimed to determine the frequency and genotypes of T. gondii oocysts shed by free-ranging domestic cats in central coastal California and evaluate whether genotypes present in feces are similar to those identified in sea otters that died from fatal toxoplasmosis. We utilized a longitudinal field study of four free-ranging cat colonies to assess oocyst shedding prevalence using microscopy and molecular testing with polymerase chain reaction (PCR). T. gondii DNA was confirmed with primers targeting the ITS1 locus and positive samples were genotyped at the B1 locus. While oocysts were not visualized using microscopy (0/404), we detected T. gondii DNA in 25.9% (94/362) of fecal samples. We genotyped 27 samples at the B1 locus and characterized 13 of these samples at one to three additional loci using multi locus sequence typing (MLST). Parasite DNA detection was significantly higher during the wet season (16.3%, 59/362) compared to the dry season (9.7%; 35/362), suggesting seasonal variation in T. gondii DNA presence in feces. High diversity of T. gondii strains was characterized at the B1 locus, including non-archetypal strains previously associated with sea otter mortalities. Free-ranging cats may thus play an important role in the transmission of virulent T. gondii genotypes that cause morbidity and mortality in marine wildlife. Management of free-ranging cat colonies could reduce environmental contamination with oocysts and subsequent T. gondii infection in endangered marine mammals and people.

Carbohydrate nutrition associated with health of overwintering honey bees.

In temperate climates, honey bees rely on stored carbohydrates to sustain them throughout the winter. In nature, honey serves as the bees' source of carbohydrates, but when managed, beekeepers often harvest honey and replace it with cheaper, artificial feed. The effects of alternative carbohydrate sources on colony survival, strength, and individual bee metabolic health are poorly understood. We assessed the impacts of carbohydrate diets (honey, sucrose syrup, high-fructose corn syrup, and invert syrup) on colony winter survival, population size, and worker bee nutritional state (i.e., fat content and gene expression of overwintered bees and emerging callow bees). We observed a nonsignificant trend for greater survival and larger adult population size among colonies overwintered on honey compared to the artificial feeds, with colonies fed high-fructose corn syrup performing particularly poorly. These trends were mirrored in individual bee physiology, with bees from colonies fed honey having significantly larger fat bodies than those from colonies fed high-fructose corn syrup. For bees fed honey or sucrose, we also observed gene expression profiles consistent with a higher nutritional state, associated with physiologically younger individuals. That is, there was significantly higher expression of vitellogenin and insulin-like peptide 2 and lower expression of insulin-like peptide 1 and juvenile hormone acid methyltransferase in the brains of bees that consumed honey or sucrose syrup relative to those that consumed invert syrup or high-fructose corn syrup. These findings further our understanding of the physiological implications of carbohydrate nutrition in honey bees and have applied implications for colony management.

Health status of honeybee colonies (Apis mellifera) and disease-associated risk factors in different agroecological zones of Southwest Ethiopia

A cross-sectional study design was conducted in different agroecological zones of southwest Ethiopia from October 2019 to October 2021. The study aimed to determine the prevalence and associated risk factors for honeybee diseases and pests, as well as the impact of these issues on honeybee colonies and their products. To identify potential risk factors for honeybee disease and pests, a multivariate random effects logistic regression analysis was used. Adult honeybee and brood samples from a total of 384 honeybee colonies were collected and tested using standard laboratory diagnostic methods. The highest prevalence (55.8%) of ants was recorded, followed by wax moths (22.5%) and hive beetles (23.3%). In the current study, the main honeybee diseases observed in the study areas were varroosis (36.5%), bee lice (5.2%), nosemosis (39.6%), amoeba (56%), and chalkbrood (4.5%). However, tracheal mites, sachbrood, and American and European foul brood, were not detected. The agroecological zone (OR = 5.2, 95% CI: 1.75–14.85), type of hive (OR = 2.9, 95% CI: 1.17–17.03), management system (OR = 4.3, 95% CI: 1.23–14.70), and the management of the colony (OR = 3.5, 95% CI: 1.31–9.14) were identified as risk factors for varroosis in these areas. The occurrence of nosemosis in colonies was also influenced by the agroecological zone (OR = 12.2, 95% CI: 3.06–48.54) and colony management (OR = 3.4, 95% CI: 1.59–7.23). The agroecological zone (OR = 10.5, 95% CI: 12.76–22.63) and hive type (OR = 3.0, 95% CI: 1.39–6.36) were the primary risk factors for the occurrence of amoeba in honeybee colonies. However, the occurrence of bee lice (OR = 34.7, 95% CI: 3.96–104.93) and chalkbrood (OR = 4.8, 95% CI: 1.44–13.16) in honeybee colonies was only influenced by the agroecological zone in the study areas. This study demonstrated that losses in honey production in the area are significantly attributed to honeybee disease and pests. Therefore, it is essential to increase public awareness of how honeybee diseases and pests affect honey production and to develop and implement appropriate control measures for these diseases and pests. Furthermore, more studies should be conducted to characterize and isolate other causes of honeybee diseases and pests in various locations.

Epidemiology, factors influencing prevalence and level of varroosis infestation (Varroa destructor) in honeybee (Apis mellifera) colonies in different agroecologies of Southwest Ethiopia

Little information is available on the epidemiology of varroosis caused by Varroa mite, Varroa destructor infestation in Ethiopia, although it is a devastating honeybee disease that results in significant economic losses in beekeeping. Therefore, between October 2021 and October 2022, a cross-sectional study was carried out in different agroecology zones in Southwest Ethiopia to determine the prevalence and associated risk factors for varroosis, as well as the effects of this disease on honeybee colonies and honey production. A multivariate logistic regression analysis was performed to identify possible risk factors for the prevalence of V. destructor. A total of 384 adult honeybee and worker or drone brood samples were collected from honeybee colonies and examined using standard diagnostic techniques in the laboratory. The result shows that the prevalence of V. destructor was found to be 39.3% (95% CI 34.44–44.21) and 43.2% (38.27–48.18) in adult honeybees and brood, respectively. The major risk factors for the prevalence of V. destructor in the study areas included agroecology (OR = 5.2, 95% CI 1.75–14.85), type of hive (OR = 2.9, 95% CI 1.17–17.03), management system (OR = 4.3, 95% CI 1.23–14.70), and colony management (OR = 3.5, 95% CI 1.31–9.14). The lower level of colony infestation in adult bees and brood was measured as 1.97 ± 0.14 and 3.19 ± 0.25, respectively. Season, colony status, colony management, and agroecology were among the determinant factors of the level of varroa mite infestation in adult bees and brood. The results of the study demonstrated that honey production losses are largely attributable to V. destructor infestation. Therefore, it is critical to inform the community about the effects of V. destructor on honey production and develop and implement effective management strategies for this disease. In addition, further research should be done to identify and isolate additional factors that contribute to varroosis in honeybees in different regions.

Pinna Edge Biopsy of 7 and 21 Day Old C57BL/6 Mice as a Method for Identification and Genotyping.

Identifying and genotyping mice prior to weaning can be useful for mouse colony management. Mice of an undesired genotype can be identified prior to weaning and removed from further study, resulting in a reduction of housing costs, and labor time. We hypothesized that a pinna edge biopsy (PEB) performed by removing a portion of its edge with scissors is a reliable method for identifying and genotyping mice on postnatal day (PND) 7 consistent with PND 21, weaned mice. The pinnae of 54 C57BL/NCrl6 mice were biopsied on PND 7, and another 54 were biopsied on PND 21. Nine pinna patterns were tested. The accuracy of pattern identification was assessed on PND 7, 14, 21, 30, and 63. The mean times were compared for performing the biopsy on PND 7 and PND 21 mice, and the average time taken to identify the patterns were determined. Weight, milk spot presence, pup rejection, morbidity, and mortality were examined at various time points. During the biopsy, bleeding of the pinna, urination, vocalization, and flinching were assessed. No significant differences were detected in DNA quality, relative DNA quantity, genotyping reliability, or body weight (P ≥ 0.05) between mice biopsied on PND 7 and PND 21. Flinching at the time of PEB was significantly higher in PND 21 mice as compared with PND 7 mice (P < 0.00001). Pinna pattern identification accuracy for mice biopsied on PND 7 and PND 21 were 96% and 98%, respectively. This study validates the use of PEB for simultaneous identification and genotyping of PND 7 mice.