Fig. 2
From: SeqBreed: a python tool to evaluate genomic prediction in complex scenarios
Example plots produced by SeqBreed. a Contribution of each QTN to total variance. Top, individual QTN variances as a function of minimum allele frequency (MAF); middle, histogram of QTN variances; bottom, cumulative variance when QTN are sorted by MAF. In blue, additive variances; in red, dominance variances. The figure shows a fully additive phenotype, thus dominance variances are zero. b Principal component analysis plot; individuals of different generations are in different colors. c Genome-wide association study showing false discovery rate values (− log10 scale). SNPs on different chromosomes are represented in alternate colors