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Table 2 Posterior means (Mean) and posterior standard deviations (PSD) of variance components for the multi-trait model and the structural equation model

From: Accuracy of breeding values for production traits in turkeys (Meleagris gallopavo) using recursive models with or without genomics

Componenta Multi-trait model Structural equation model
Mean PSD Mean PSD
\({\sigma}_{\text{g}}^{2}\text{ FCR}\) 0.05 0.01 0.05 0.01
\({\sigma}_{\text{g}}^{2}\text{ RFI}\) 0.61 0.02 0.53 0.02
\({\sigma}_{\text{g}}^{2}\text{ BW}\) 0.66 0.05 0.58 0.05
\({\sigma}_{\text{g}}^{2}\text{ BMY}\) 1.09 0.13 1.09 0.13
\({\sigma}_{\text{g}}^{2}\text{ WS}\) 0.14 0.02 0.10 0.01
\({\sigma}_{\text{e}}^{2} \, {\text{FCR}}\) 0.30 0.01 0.31 0.01
\({\sigma}_{\text{e}}^{2} \, {\text{RFI}}\) 4.26 0.11 3.94 0.09
\({\sigma}_{\text{e}}^{2}\,{\text{BW}}\) 1.20 0.03 1.24 0.03
\({\sigma}_{\text{e}}^{2} \, {\text{BMY}}\) 2.94 0.08 2.91 0.08
\({\sigma}_{\text{e}}^{2} \, {\text{WS}}\) 0.44 0.01 0.37 0.01
\({\text{r}}_{\text{g}}\text{ FCR, RFI}\) 0.69 0.09 0.62 0.08
\({\text{r}}_{\text{g}}\text{ FCR, BW}\) 0.17 0.08 0.19 0.09
\({\text{r}}_{\text{g}}\text{ FCR, BMY}\) – 0.04 0.04 – 0.08 0.04
\({\text{r}}_{\text{g}}\text{ FCR, WS}\) – 0.12 0.07 – 0.08 0.07
\({\text{r}}_{\text{g}}\text{ RFI, BW}\) 0.13 0.09 0.18 0.09
\({\text{r}}_{\text{g}}\text{ RFI, BMY}\) – 0.10 0.08 – 0.19 0.07
\({\text{r}}_{\text{g}}\text{ RFI, WS}\) 0.07 0.01 0.05 0.01
\({\text{r}}_{\text{g}}\text{ BW, BMY}\) 0.17 0.09 0.20 0.06
\({\text{r}}_{\text{g}}\text{ BW, WS}\) – 0.36 0.06 – 0.32 0.06
\({\text{r}}_{\text{g}}\text{ BMY, WS}\) – 0.46 0.13 – 0.29 0.12
\({\text{r}}_{\text{e}}\text{ FCR, RFI}\) 0.23 0.09
\({\text{r}}_{\text{e}}\text{ FCR, BW}\) – 0.38 0.06
\({\text{r}}_{\text{e}}\text{ FCR, BMY}\) – 0.10 0.03
\({\text{r}}_{\text{e}}\text{ FCR, WS}\) 0.03 0.00
\({\text{r}}_{\text{e}}\text{ RFI, BW}\) – 0.17 0.05
\({\text{r}}_{\text{e}} \, \text{ FCR, BMY}\) – 0.07 0.03
\({\text{r}}_{\text{e}} \, {\text{RFI, WS}}\) 0.05 0.02
\({\text{r}}_{\text{e}}{\text{ BW, BMY}}\) 0.19 0.02
\({\text{r}}_{\text{e}} \, {\text{BW, WS}}\) – 0.15 0.03
\({\text{r}}_{\text{e}} \, {\text{BMY, WS}}\) – 0.06 0.02
h2 FCR 0.14 0.02 0.14 0.02
h2 RFI 0.13 0.02 0.12 0.02
h2 BW 0.35 0.07 0.32 0.07
h2 BMY 0.27 0.04 0.27 0.04
h2 WS 0.24 0.04 0.21 0.04
  1. Residual correlations between traits were fixed to 0 for the structural equation models
  2. FCR feed conversion ratio (kg/kg), RFI residual feed intake (kg), BW body weight (kg), BMY breast meat yield (%), WS walking score (1 to 6)
  3. a \({\sigma}_{\text{g}}^{2}\) genetic variance, \({\sigma}_{\text{e}}^{2}\) residual variance, \({\text{r}}_{\text{g}}\) genetic correlation, \({\text{r}}_{\text{e}}\) residual correlation, h2  narrow sense heritability