Table 2.

Prediction reliability from univariate and bivariate GBLUP models

Traita	ST-GBLUP	MT-GBLUP
$\mathrm{\alpha }$ S1-CN	0.11	0.10
$\mathrm{\alpha }$ S1-CN-8P	0.03	0.03
$\mathrm{\alpha }$ S2-CN	0.03	0.06
$\mathrm{\kappa }$-CN	0.16	0.16
G-$\mathrm{\kappa }$-CN	0.14	0.14
$\mathrm{\alpha }$-LA	0.12	0.11
$\mathrm{\beta }$-LG	0.21	0.21
Protein %	0.10	0.12

^aProtein composition expressed as a fraction of the total milk protein percentage by weight wt (wt/wt), protein % expressed as percentage of the total milk yield; individual proteins comprise only the peaks identified as intact proteins and isoforms, i.e., $\mathrm{\alpha }$ _S1-CN (comprises $\mathrm{\alpha }$ _S1-CN 8P + 9P), $\mathrm{\alpha }$ _S2-CN (comprises $\mathrm{\alpha }$ _S2-CN 11P + 12P), $\mathrm{\kappa }$-CN (comprises $\mathrm{\kappa }$-CN G 1P + unglycosylated $\mathrm{\kappa }$-CN 1P), where P = phosphorylated serine group. G-$\mathrm{\kappa }$-CN = glycosylated-$\mathrm{\kappa }$-CN; $\mathrm{\alpha }$ _S1-CN-8P = $\mathrm{\alpha }$ _S1-CN with 8 phosphorylated serine groups