Table 5.

Estimated parameters from bivariate analyses for the SICCT hierarchy

A	B	${\mathit{r}}_{\mathit{G}}$	${\mathit{r}}_{\mathit{P}}$	${\mathit{h}}_{(\mathit{A})}^2$	${\mathit{h}}_{(\mathit{B})}^2$	${\mathit{b}}_{\mathit{G}}$	${\mathit{b}}_{\mathit{P}}$	${\mathit{\sigma }}_{\mathit{P}(\mathit{A})}^2$	${\mathit{\sigma }}_{\mathit{P}(\mathit{B})}^2$
a 1	b 1	0.999 (0.000)	0.958 (0.000)	0.493 (0.021)	0.493 (0.021)	1.009 (0.005)	0.967 (0.001)	1.106 (0.008)	1.128 (0.008)
a 1	a 2	0.910 (0.012)	0.559 (0.003)	0.489 (0.021)	0.215 (0.013)	1.149 (0.033)	1.064 (0.006)	1.105 (0.008)	4.005 (0.022)
b 1	b 2	0.871 (0.018)	0.477 (0.003)	0.492 (0.021)	0.178 (0.012)	1.168 (0.042)	1.065 (0.008)	1.128 (0.008)	5.623 (0.030)
da	db	0.901 (0.029)	0.500 (0.003)	0.063 (0.008)	0.053 (0.007)	1.040 (0.071)	0.627 (0.004)	2.763 (0.014)	4.345 (0.021)
da	dc	0.077 (0.141)	−0.325 (0.003)	0.063 (0.008)	0.012 (0.003)	0.039 (0.070)	−0.373 (0.004)	2.763 (0.014)	3.645 (0.017)
db	dc	0.500 (0.107)	0.657 (0.002)	0.053 (0.007)	0.012 (0.003)	0.217 (0.056)	0.602 (0.002)	4.345 (0.021)	3.645 (0.017)

Results from the first-records bivariate analysis after retaining only the first known test within each breakdown: ${\mathit{r}}_{\mathit{G}}$ and ${\mathit{r}}_{\mathit{P}}$ are the genetic and phenotypic correlations respectively, and ${\mathit{b}}_{\mathit{G}}$ and ${\mathit{b}}_{\mathit{P}}$ are the genetic and phenotypic regressions of trait B on trait A, ${\mathit{h}}_{(\mathit{A})}^2$ and ${\mathit{h}}_{(\mathit{B})}^2$ are the estimated heritabilities and ${\mathit{\sigma }}_{\mathit{P}(\mathit{A})}^2$ and ${\mathit{\sigma }}_{\mathit{P}(\mathit{B})}^2$ are the phenotypic variances for traits A and B, respectively