Modelling QTL on BTA06 in dairy cattle using random regression

The project comprises QTL detection for milk production traits considering different QTL effects across lactation. The final model is based on a random regression test day model with polynomial functions for additive polygenic effect and a QTL effect. The analysis is based on a real data set from Holstein Dairy cattle with a dense microsatellite marker map on BTA6 (14 markers covering 63.5 cM).