Table 3.

Variance component estimates (standard deviation) under different subsets of F_STbased and randomly selected SNPs for populations¹P₁and P₂(average over 5 replicates)

	P1(LD =0.3)		P2(LD = 0.7)
	GV2	RV3	GV	RV
FST based
2.5 K	0.126 (0.017)	0.728 (0.027)	0.198 (0.029)	0.736 (0.006)
5 K	0.149 (0.016)	0.706 (0.030)	0.204 (0.005)	0.711 (0.001)
10 K	0.175 (0.023)	0.684 (0.037)	0.195 (0.009)	0.697 (0.004)
20 K	0.203 (0.031)	0.663 (0.044)	0.195 (0.007)	0.686 (0.007)
40 K	0.226 (0.041)	0.649 (0.052)	0.203 (0.009)	0.677 (0.007)
80 K	0.247 (0.048)	0.641 (0.055)	0.217 (0.008)	0.671 (0.008)
160 K	0.264 (0.045)	0.642 (0.047)	0.235 (0.008)	0.670 (0.008)
Random
2.5 K	0.104 (0.013)	0.834 (0.012)	0.155 (0.012)	0.788 (0.006)
5 K	0.139 (0.016)	0.796 (0.013)	0.185 (0.013)	0.757 (0.005)
10 K	0.173 (0.019)	0.762 (0.006)	0.215 (0.011)	0.730 (0.012)
20 K	0.203 (0.023)	0.733 (0.013)	0.234 (0.010)	0.712 (0.008)
40 K	0.227 (0.026)	0.710 (0.015)	0.242 (0.007)	0.703 (0.005)
80 K	0.238 (0.027)	0.770 (0.015)	0.246 (0.008)	0.699 (0.007)
160 K	0.242 (0.027)	0.696 (0.016)	0.250 (0.008)	0.696 (0.006)
Full panel
400 K	0.247 (0.027)	0.692 (0.016)	0.251 (0.007)	0.695 (0.006)

¹P₁: 200 QTLs and linkage disequilibrium (LD) between adjacent markers equal to 0.3 and P₂: 200 QTLs and LD between adjacent markers equal to 0.7; ²genetic variance, ³residual variance