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Correlations between GEBV and phenotypes adjusted for fixed effects for individuals from trials 4 and 5, where GEBV were predicted based on estimates of SNP effects obtained from trials 1 through 3, are shown in Table?4. When dividing by the square root of heritability, these correlations can be interpreted as estimates of the accuracy of the GEBV. All correlations were positive and, on average, the GEBV predicted WG marginally better than it did VL, and predictions based solely on the SSC4 region were marginally better than were the whole-genome http://www.selleckchem.com/products/Adriamycin.html predictions. Results of single-marker analyses for the most significant SNP in the SSC4 region (WUR10000125) that was identified by Boddicker et?al. (2012) for VL and WG42 are shown in Fig.?1. This SNP was significant for WG42 in trial 4 (P? http://www.selleck.cn/products/dabrafenib-gsk2118436.html 0.77 to 10.9?percent (Table?4), with 21?dpi having the lowest and 11?dpi having the highest percentage. If all 2592 of the 1-Mb windows across the genome contributed equally to the genetic variance, each window would contribute 0.039?percent. Thus, the SSC4 region was estimated to contribute a substantially greater percentage of genetic variance than expected under an infinitesimal model for each dpi (=0.039% based on 2592 1-Mb windows evaluated). Table?4 also shows a significance test for the hypothesis that the SSC4 region http://www.selleckchem.com/products/DAPT-GSI-IX.html contributes more variance than expected (Wolc et?al. 2012) based on the percentage of samples from the posterior distribution for which the 1-Mb window on SSC4 contributed more than 0.039?percent of the genetic variance. This percentage was as high as 99.8 for viremia at 11?dpi and not lower than 39.6 for 21?dpi. Table?4 also shows the marker-based heritability estimates obtained from gensel; estimates were moderate to high and generally higher than pedigree-based estimates (Table?2). The 1-Mb region on SSC4 was estimated to explain 15, 5 and 11.3?percent of the genetic variance for VL, WG21 and WG42 respectively, and every sample showed greater variance than expected for the 1-Mb region (Table?4).