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Fig. 1 | Genetics Selection Evolution

Fig. 1

From: Multi-breed genomic prediction using Bayes R with sequence data and dropping variants with a small effect

Fig. 1

Accuracy of different strategies using the simulated dataset. Analysing all HD variants together without dropping any variants (HD_FULL_D0), analysing all sequence variants together while dropping 0% (S_FULL_D0), 70% (S_FULL_D0.7) or 90% (S_FULL_D0.9) of the variants after 10,000 MCMC iterations, analysing sequence variants per chromosome while dropping 0% (S_CHR_D0), 70% (S_CHR_D0.7) or 90% (S_CHR_D0.9) of the variants after 10,000 MCMC iterations, variants selected by S_CHR_D0.7 and S_CHR_D0.9 reanalysed with all chromosomes together (S_KEPT_D0.7 and S_KEPT_D0.9), or variants selected by S_CHR_D0.7 and S_CHR_D0.9 and all HD variants reanalysed with all chromosomes together (S + HD_KEPT + HD_D0.7 and S + HD_KEPT + HD_D0.9); ausRed = Australian Red, redHol = Red Holstein

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