In crosses between inbred lines, linear regression can be used to estimate the correlation of
markers with a trait of interest; these marker effects then allow marker assisted selection (MAS)
for quantitative traits. Usually a subset of markers to include in the model must be selected: no
completely satisfactory method of doing this exists. We show that replacing this selection of
markers by ridge regression can improve the mean response to selection and reduce the variability
of selection response.