Publications by authors named "Christoph Schwekendiek"

Machine-learning techniques are shifting the boundaries of feasibility in many fields of ethological research. Here, we describe an application of machine learning to the detection/measurement of hygienic behaviour, an important breeding trait in the honey bee (). Hygienic worker bees are able to detect and destroy diseased brood, thereby reducing the reproduction of economically important pathogens and parasites such as the Varroa mite ().

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Article Synopsis
  • Mites Anderson and Trueman and Anderson and Morgan pose significant risks to beekeeping due to their impact on bee populations.
  • Hygienic behavior in bees, which involves removing diseased or damaged brood, shows a strong correlation in response to both types of mites, suggesting a potential for targeted breeding strategies.
  • The comparison of hygienic behavior between different bee species indicates that the Asiatic honey bee is more effective in eliminating infested cells, contributing to its resistance against these mites.
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