Genetics Selection Evolution

Table 3 Posterior means of the variance components for the multi-trait and the structural equation model of C4:0 to C12:0

From: Exploring causal networks of bovine milk fatty acids in a multivariate mixed model context

Variance component¹	Multi-trait			SEM
Variance component¹	Mean	SD²	Time-series SE³	Mean	SD²	Time-series SE³
$σ_{e}^{2}$ C4:0	0.549	0.108	0.003	0.455	0.091	0.002
$σ_{e}^{2}$ C6:0	0.606	0.102	0.004	0.003	0.002	0.000
$σ_{e}^{2}$ C8:0	0.599	0.100	0.004	0.000	0.000	0.000
$σ_{e}^{2}$ C10:0	0.560	0.102	0.004	0.006	0.002	0.000
$σ_{e}^{2}$ C12:0	0.459	0.087	0.003	0.059	0.004	0.000
r_e C4:0,C6:0	0.938	0.019	0.001	.	.	.
r_e C4:0,C8:0	0.885	0.046	0.001	.	.	.
r_e C4:0,C10:0	0.808	0.084	0.002	.	.	.
r_e C4:0,C12:0	0.754	0.101	0.003	.	.	.
r_e C6:0,C8:0	0.950	0.014	0.000	.	.	.
r_e C6:0,C10:0	0.906	0.036	0.001	.	.	.
r_e C6:0,C12:0	0.859	0.053	0.002	.	.	.
r_e C8:0,C10:0	0.950	0.014	0.000	.	.	.
r_e C8:0,C12:0	0.911	0.028	0.001	.	.	.
r_e C10:0,C12:0	0.934	0.017	0.001	.	.	.
$σ_{g}^{2}$ C4:0	0.360	0.151	0.005	0.460	0.122	0.002
$σ_{g}^{2}$ C6:0	0.325	0.143	0.005	0.114	0.023	0.001
$σ_{g}^{2}$ C8:0	0.310	0.140	0.005	0.073	0.009	0.000
$σ_{g}^{2}$ C10:0	0.319	0.141	0.005	0.066	0.008	0.000
$σ_{g}^{2}$ C12:0	0.276	0.121	0.004	0.026	0.005	0.000
r_g C4:0,C6:0	0.855	0.074	0.002	-0.440	0.123	0.004
r_g C4:0,C8:0	0.675	0.157	0.005	-0.417	0.116	0.004
r_g C4:0,C10:0	0.424	0.237	0.007	-0.400	0.109	0.003
r_g C4:0,C12:0	0.331	0.255	0.008	-0.084	0.089	0.002
r_g C6:0,C8:0	0.863	0.069	0.002	0.761	0.033	0.001
r_g C6:0,C10:0	0.697	0.148	0.004	0.730	0.036	0.001
r_g C6:0,C12:0	0.617	0.179	0.006	0.160	0.154	0.004
r_g C8:0,C10:0	0.862	0.071	0.002	0.692	0.036	0.001
r_g C8:0,C12:0	0.805	0.102	0.003	0.152	0.147	0.004
r_g C10:0,C12:0	0.899	0.052	0.002	0.148	0.142	0.004

¹ $σ_{e}^{2}$ is residual variance, $σ_{g}^{2}$ is genetic variance, r_e is residual correlation, r_g is genetic correlation; ²SD is the posterior standard deviations of the component; ³Time-series SE is the time-series standard error of the component.

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