Data from: QST FST comparisons with unbalanced half-sib designs
Cite this dataset
Gilbert, Kimberly J.; Whitlock, Michael C. (2014). Data from: QST FST comparisons with unbalanced half-sib designs [Dataset]. Dryad. https://doi.org/10.5061/dryad.rm574
QST, a measure of quantitative genetic differentiation among populations, is an index that can suggest local adaptation if QST for a trait is sufficiently larger than the mean FST of neutral genetic markers. A previous method by Whitlock and Guillaume derived a simulation resampling approach to statistically test for a difference between QST and FST, but that method is limited to balanced data sets with offspring related as half-sibs through shared fathers. We extend this approach to (1) allow for a model more suitable for some plant populations or breeding designs in which offspring are related through mothers (assuming independent fathers for each offspring; half-sibs by dam), and (2) by explicitly allowing for unbalanced data sets. The resulting approach is made available through the R package QstFstComp.