Figure 4From: Prospects and limits of marker imputation in quantitative genetic studies in European elite wheat (Triticum aestivum L.) Imputing from low to high marker density increases the power of association mapping. Detection frequency of a major QTL explaining 10% of the genotypic variance in the total population based on the 90Â k SNP data set (Total-90Â k) and the SNP present in the 9Â k data set most closely linked to the SNP in the 90Â k data set (Total-9Â k). Detection frequency of a major QTL in the reference population with sizes from 50 to 300 individuals fingerprinted with the 90Â k SNP array (Reference-90Â k). Detection frequency of major QTL with varying degrees of linkage disequilibrium (r2) between the QTL and closest linked 9Â k SNP marker estimated in the total panel for which depleted 90Â k SNP array data have been imputed for the test population with map- dependent (Beagle, FImpute, and IMPUTE2) and map-independent (Random Forest) algorithms for the reference population sizes of 50, 100, 200, and 300 out of 371 lines.Back to article page