We have briefly reviewed the methods currently available for QTL analy
sis in segregating populations and summarized some of the conclusions
arising from such analyses in plant populations. We show that the anal
ytical methods locate QTL with poor precision (10-30 cM), unless the h
eritability of an individual QTL is high. Also the estimates of the QT
L effects, particularly the dominance effects tend to be inflated beca
use only large estimates are significant. Estimates of numbers of QTL
per trait are generally low (<8) for individual trials. This may sugge
st that there are few QTL but probably reflects the power of the metho
ds. There is no large correlation between the numbers of QTL found and
the amount of the variation explained. Of those cases where dominance
is measurable, dominance ratios are often >1, but seldom significantl
y greater. These latter cases need further analysis. Many QTL map clos
e to candidate genes, and there is growing evidence from synteny studi
es of corresponding chromosome regions carrying similar QTL in differe
nt species. However, unreliability of QTL location may suggest false c
andidates.