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. 2017 Jan 4;7(3):801–811. doi: 10.1534/g3.116.036582

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Copyright © 2017 Müller et al.

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Average prediction accuracy $r_{g, \hat{g}}$ under recurrent genomic selection across $C = 0, 1, \dots, 10$ selection cycles depending on (A) training set size $N_{T S}$ and (B) marker density for synthetics produced from $N_{p} = 2, 4, 16$ parents taken from ancestral population LR. LD_A, ancestral linkage disequilibrium; LE_A, ; LR, long-range linkage disequilibrium; Ped, pedigree; Re, related; SNP, single nucleotide polymorphism.