Table 2. Results of computer simulations.

		$Y_1=1$			$Y_2=2$
	$h^2$	$\widehat{r}\pm$ SD	${\widehat{h}}^2\pm$ SD	P value	$\widehat{r}\pm$ SD	${\widehat{h}}^2\pm$ SD	P value
$\alpha =0.0$	0.0	$0.501\pm 0.018$	$0.003\pm 0.113$	0.762	$0.249\pm 0.015$	$-0.005\pm 0.095$	0.577
	0.2	$0.530\pm 0.017$	$0.190\pm 0.104$	0.329	$0.284\pm 0.016$	$0.215\pm 0.098$	0.139
	0.4	$0.566\pm 0.016$	$0.413\pm 0.099$	0.185	$0.316\pm 0.015$	$0.409\pm 0.094$	0.323
	0.6	$0.596\pm 0.018$	$0.592\pm 0.105$	0.463	$0.349\pm 0.017$	$0.608\pm 0.102$	0.461
	0.8	$0.631\pm 0.020$	$0.795\pm 0.113$	0.661	$0.381\pm 0.020$	$0.796\pm 0.115$	0.739
	1.0	$0.666\pm 0.018$	$0.985\pm 0.097$	0.117	$0.420\pm 0.016$	$1.017\pm 0.093$	0.067
$\alpha =0.5$	0.0	$0.307\pm 0.019$	$-0.009\pm 0.093$	0.316	$0.095\pm 0.012$	$-0.005\pm 0.099$	0.595
	0.2	$0.350\pm 0.020$	$0.203\pm 0.096$	0.775	$0.121\pm 0.011$	$0.203\pm 0.082$	0.753
	0.4	$0.393\pm 0.020$	$0.405\pm 0.092$	0.596	$0.149\pm 0.013$	$0.399\pm 0.091$	0.946
	0.6	$0.436\pm 0.020$	$0.601\pm 0.090$	0.907	$0.178\pm 0.016$	$0.597\pm 0.105$	0.793
	0.8	$0.481\pm 0.019$	$0.797\pm 0.081$	0.741	$0.211\pm 0.016$	$0.805\pm 0.098$	0.631
	1.0	$0.529\pm 0.017$	$0.992\pm 0.066$	0.250	$0.244\pm 0.016$	$1.005\pm 0.098$	0.612
$\alpha =1.0$	0.0	$0.161\pm 0.016$	$0.009\pm 0.088$	0.317	$0.025\pm 0.007$	$-0.006\pm 0.118$	0.624
	0.2	$0.197\pm 0.017$	$0.198\pm 0.082$	0.835	$0.039\pm 0.008$	$0.202\pm 0.111$	0.876
	0.4	$0.238\pm 0.018$	$0.390\pm 0.084$	0.213	$0.053\pm 0.009$	$0.380\pm 0.100$	0.052
	0.6	$0.287\pm 0.017$	$0.599\pm 0.070$	0.894	$0.074\pm 0.011$	$0.597\pm 0.107$	0.792
	0.8	$0.339\pm 0.022$	$0.800\pm 0.083$	0.953	$0.096\pm 0.011$	$0.806\pm 0.094$	0.545
	1.0	$0.395\pm 0.021$	$0.997\pm 0.071$	0.630	$0.119\pm 0.014$	$1.001\pm 0.117$	0.957

$Y_1$ and $Y_2$ are the number of parents originating from the truncated subset p when tracing one or two sites of the parentage, respectively. α denotes the left truncation, $h^2$ is the input narrow-sense heritability (simulation parameter), $\widehat{r}$ and ${\widehat{h}}^2$ are the corresponding estimates of r and $h^2$ in a given scenario, reported with respective SD (calculated across independent stochastic iterations), and P-value is the respective level of significance in comparing $h^2$ and ${\widehat{h}}^2.$