DESCRIPTION

SRmapqtl uses stepwise regression to map quantitative trait loci to a map of molecular markers. It requires a molecular map that could be a random one produced by Rmap, or a real one in the same format as the output of Rmap. The sample could be a randomly generated one from Rcross or a real one in the same format as the output of Rcross.

This program should be run before .Zmapqtl if you want to use composite interval mapping. The results will be used to pick markers background control in composite interval mapping. The main result from using this program is to rank the markers in terms of their influence on the trait of interest.