Utilization of F1 information in estimating QTL effects in F2 crosses between outbred lines

Quantitative trait loci (QTL) analysis in designed experiments is investigated using a mixed model framework through the modification of segment mapping techniques. Allele effects are modelled in the F1 generation allowing the estimation of additive substitution effects while accounting for QTL segregation within lines and differences in mean QTL effects between lines. The resulting approach is called F1 segment mapping. Simulation is used to illustrate the method and its properties. F1 segment mapping has advantages over F2 segment mapping in the derivation of exact additive genetic covariances and in the computation time for variance component estimation.