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Fig. 2 | BMC Genomics

Fig. 2

From: Alternative methods improve the accuracy of genomic prediction using information from a causal point mutation in a dairy sheep model

Fig. 2

Prediction accuracies of genomic selection from the second iterations of the different WssGBLUP methods for the LSCS trait with (orange curve: WssGBLUPSOCS2 (m, n)) and without (blue curve: WssGBLUP(m, n)) the SOCS2 genotype. Four approaches to the WssGBLUP were computed (m = classical, mean, maximum or sum). The classical WssGBLUP approach (m = classical) gives a different weight for each marker of the chip. In alternative approaches, the chip is decomposed into non-overlapping windows of n markers (we tested n = 2, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 100, and 200) and within these windows, all markers are assigned the same weight: the mean weight of the n SNPs (m = mean), the maximum weight of the n SNPs (m = maximum), and the sum of the n SNPs weights (m = sum)

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BMC Genomics

ISSN: 1471-2164

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