Bayesian QTL mapping in inbred and outbred experimental designs (Q2707206)

Foreword: This thesis brings together 5 papers, where paper I considers mapping quantitative trait loci (QTLs) with classical interval mapping and composite interval mapping methods in Arabidopsis Thaliana. Papers II and III introduce Bayesian QTL mapping models for inbred and outbred experimental designs. In these papers, performances of the methods are tested and compared with classical methods in simulated data. Paper IV represents a real data application of the Bayesian outbred method for open-pollinated Scots pine progeny; a cross of two natural populations. Finally, paper V compares classical and Bayesian QTL mapping methods when they are applied to a real outbred apple cross. Additionally, initial versions of the software implementing these Bayesian methods are produced. A description of some common genetic terms is found in the Appendix.