Publications by authors named "J Bubnic"

Article Synopsis
  • Recent research highlights the importance of understanding genetic diversity in honey bee populations due to declines caused by human activities and climate change, focusing specifically on Carniolan honey bees in Central and South-Eastern Europe.
  • The study used advanced genetic analysis methods to distinguish Carniolan honey bees from Italian honey bees and discovered varying levels of genetic mixing and relationships among different populations based on geographic location.
  • Findings suggest that while Carniolan honey bees exhibit genetic homogeneity overall, they possess sufficient genetic diversity within their native range that requires monitoring to support future breeding programs.
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The main drawback in using coloration to identify honey bee subspecies is the lack of knowledge regarding genetic background, subjectivity of coloration grading, and the effect of the environment. The aim of our study was to evaluate the effect of environmental temperature on the abdominal coloration of honey bee workers and to develop a tool for quantifying abdominal coloration. We obtained four frames of honey bee brood from two colonies and incubated them at two different temperatures (30 and 34 °C).

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Honey bee viruses in combination with varroa mite are very damaging for honey bee colonies worldwide. There are no effective methods to control the viral load in honey bee colonies except regular and effective control of mites. Integrated Pest Management strategies are required to effectively control mites with veterinary medicines based on organic compounds.

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Background: The Western honeybee is an economically important species globally, but has been experiencing colony losses that lead to economical damage and decreased genetic variability. This situation is spurring additional interest in honeybee breeding and conservation programs. Stochastic simulators are essential tools for rapid and low-cost testing of breeding programs and methods, yet no existing simulator allows for a detailed simulation of honeybee populations.

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The purpose of our study was to investigate methods of short-term storage that allow preservation, transport and retrieval of genetic information contained in honeybee queen's spermatheca. Genotyping of the honeybee colony requires well ahead planned sample collection, depending on the type of data to be acquired. Sampling and genotyping of spermatheca's content instead of individual offspring is timesaving, allowing answers to the questions related to patriline composition immediately after mating.

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