Figure 1From: Prospects and limits of marker imputation in quantitative genetic studies in European elite wheat (Triticum aestivum L.) Linkage disequilibrium influences the accuracy of imputing missing values. The relationship between linkage disequilibrium (as measured by r2 between 90Â k SNPs and the respective most closely linked 9Â k SNPs) and the average correlation between observed and imputed genotypic data, as calculated using map-dependent (Beagle, FImpute, and IMPUTE2) and map-independent (Random Forest) imputation algorithms, for a reference population size of 50 out of 371 lines. Trends are shown as boxplot displays separately for three minor allele frequency (MAF) classes.Back to article page