Abstract
A pseudo-testcross pedigree is widely used for mapping quantitative trait loci (QTL) in outcrossing species, but the model for
analyzing pseudo-testcross data borrowed from the inbred backcross design can only detect those QTLs that are heterozygous only in
one parent. In this study, an intercross model that incorporates the high heterozygosity and phase uncertainty of outcrossing species was
used to reanalyze a published data set on QTL mapping in poplar trees. Several intercross QTLs that are heterozygous in both parents
were detected, which are responsible not only for biomass traits, but also for their genetic correlations. This study provides a more
complete identification of QTLs responsible for economically important biomass traits in poplars.
