Table 4.

Accuracy of across-population genomic prediction (SE) for a trait with a heritability of 0.30 or 0.07 when populations have diverged for T (10 or 50) generations: population A (reference) and population B (validation) based on SNP-BLUP or MixP using the different datasets

Dataset	h2 = 0.30				h2 = 0.07
	T = 10		T = 50		T = 10		T = 50
	SNP-BLUP	MixP	SNP-BLUP	MixP	SNP-BLUP	MixP	SNP-BLUP	MixP
45 QTL/Morgan
WGS data	0.396 (0.017)	0.482 (0.023)	0.276 (0.021)	0.360 (0.030)	0.270 (0.018)	0.286 (0.022)	0.171 (0.023)	0.197 (0.029)
data3000	−0.004 (0.015)	0.008 (0.016)	0.000 (0.022)	0.026 (0.023)	0.015 (0.016)	0.015 (0.017)	−0.003 (0.019)	−0.003 (0.018)
data2000	0.001 (0.018)	0.001 (0.027)	0.001 (0.017)	−0.002 (0.017)	0.030 (0.018)	0.032 (0.018)	−0.003 (0.017)	−0.017 (0.023)
data1000	0.020 (0.019)	0.009 (0.019)	−0.023 (0.019)	−0.005 (0.020)	−0.013 (0.015)	−0.017 (0.015)	−0.009 (0.014)	−0.005 (0.015)
data200	0.001 (0.013)	−0.010 (0.015)	−0.030 (0.021)	−0.012 (0.017)	0.002 (0.021)	−0.001 (0.022)	−0.034 (0.021)	−0.044 (0.026)
132 QTL/Morgan
WGS data	0.392 (0.021)	0.403 (0.021)	0.238 (0.019)	0.246 (0.019)	0.209 (0.016)	0.211 (0.015)	0.186 (0.018)	0.186 (0.019)
data3000	0.022 (0.017)	0.025 (0.017)	0.049 (0.023)	0.052 (0.015)	0.005 (0.016)	0.005 (0.017)	−0.018 (0.019)	−0.018 (0.019)
data2000	0.013 (0.017)	0.021 (0.019)	−0.003 (0.017)	−0.004 (0.017)	−0.026 (0.014)	−0.018 (0.012)	0.001 (0.015)	0.001 (0.015)
data1000	0.022 (0.017)	0.028 (0.018)	−0.001 (0.017)	−0.002 (0.017)	0.009 (0.017)	0.009 (0.017)	0.017 (0.018)	0.019 (0.017)
data200	0.005 (0.017)	0.003 (0.015)	−0.022 (0.014)	−0.019 (0.015)	0.002 (0.014)	0.005 (0.017)	−0.005 (0.017)	−0.005 (0.017)

Accuracy of prediction was measured as the correlation between simulated true and predicted genetic value in the validation dataset