Publications by authors named "J Obsteter"

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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Small breeding programs are limited in achieving competitive genetic gain and prone to high rates of inbreeding. Thus, they often import genetic material to increase genetic gain and to limit the loss of genetic variability. However, the benefit of import depends on the strength of genotype-by-environment interaction.

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Simulation is a key tool in population genetics for both methods development and empirical research, but producing simulations that recapitulate the main features of genomic datasets remains a major obstacle. Today, more realistic simulations are possible thanks to large increases in the quantity and quality of available genetic data, and the sophistication of inference and simulation software. However, implementing these simulations still requires substantial time and specialized knowledge.

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Background: In breeding programmes, the observed genetic change is a sum of the contributions of different selection paths represented by groups of individuals. Quantifying these sources of genetic change is essential for identifying the key breeding actions and optimizing breeding programmes. However, it is difficult to disentangle the contribution of individual paths due to the inherent complexity of breeding programmes.

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Nucleus-based breeding programs are characterized by intense selection that results in high genetic gain, which inevitably means reduction of genetic variation in the breeding population. Therefore, genetic variation in such breeding systems is typically managed systematically, for example, by avoiding mating the closest relatives to limit progeny inbreeding. However, intense selection requires maximum effort to make such breeding programs sustainable in the long-term.

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