Efficient selection against categorically scored hip dysplasia in dogs is possible using best linear unbiased prediction and optimum contribution selection: a simulation study.

@article{Malm2013EfficientSA,
  title={Efficient selection against categorically scored hip dysplasia in dogs is possible using best linear unbiased prediction and optimum contribution selection: a simulation study.},
  author={Sofia Malm and Anders Christian S\orensen and W F Fikse and E Strandberg},
  journal={Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie},
  year={2013},
  volume={130 2},
  pages={154-64}
}
Breeding to reduce the prevalence of categorically scored hip dysplasia (HD), based on phenotypic assessment of radiographic hip status, has had limited success. The aim of this study was to evaluate two selection strategies for improved hip status: truncation selection based on phenotypic record versus best linear unbiased prediction (BLUP), using stochastic simulation and selection scenarios resembling those in real dog populations. In addition, optimum contribution selection (OCS) was… CONTINUE READING
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