ABSTRACT
The one-dimensional QTL mapping approaches discussed in Chapter 4 are simple and easy to implement. But those approaches are based on singleQTL models; that is, the approaches assume that there is at most one QTL in the genome, which is unrealistic. Usually, a quantitative trait is affected by multiple QTL. By ignoring the presence of multiple QTL, the power of one-dimensional QTL mapping approaches for detecting true QTL is compromized. Furthermore, the effects of the multiple QTL are not necessarily additive. Interaction effects among multiple QTL might be present. Onedimensional mapping approaches are unable to accommodate interaction effects. More reasonable alternatives are based on multiple-QTL models. In this chapter, we consider one such approach — multiple interval mapping.
