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Genomic Prediction and QTL Mapping Using Bayesian Methods
[report]
2011
unpublished
and Implications Several genomic selection methods were applied to a data set that was simulated for the 2010 QTLMAS workshop to predict the genomic breeding values (GEBV) of the offspring generation and to map the QTL. The GEBV had an accuracy of 0.894 with very small bias. QTL were detected based on the variance of 10 SNP windows. Using a threshold chosen for a 10% chromosome-wise type-I error rate, most of the large QTL were successfully detected with few false positives. Results for both
doi:10.31274/ans_air-180814-959
fatcat:ro7iiuv5wbdxvjhvopcmcrm4ki