The response to selection on a binary trait (diseased or healthy) with information on the selection candidates as well as half sibs was predicted using a two stage approach. The first stage was based on own performance and selected all healthy animals. The second stage used data on half sibs only, and, depending on requirements, selected among the healthy or the diseased candidates. Predictions took into account the loss of variance due to selection in the first stage and the consequences of selection on a binary trait. Results were compared with a simulation that used an index. It is concluded that the response to selection in both liability and prevalence can be predicted using a two stage approach, although discrepancies occur when the selected fraction is close to the prevalence of the desired trait and, for liability, when the disease prevalence is low and selection intensity is high. These results are relevant to selection for resistance to non-incapacitating endemic diseases, such as footrot in sheep.
Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume , , 15.10, 2006
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