Predictive performances of animal models using different multibreed relationship matrices in systems with rotational crossbreeding

Table 1 Means and standard deviations of variance components across replicates

Method	\(\sigma^{2}_{A_A}\)	\(\sigma^{2}_{A_B}\)	\(\sigma^{2}_{A_{AB}}\)	\(\sigma^2_{e}\)
True	0.15 ± 0.01	0.15 ± 0.01	0.023 ± 0.003	0.80^a
GT	0.15 ± 0.04	0.14 ± 0.04	0.035 ± 0.039	0.80 ± 0.02
MF	0.15 ± 0.02	0.15 ± 0.02	0.026 ± 0.005	0.80 ± 0.02
SM	0.25 ± 0.07	0.19 ± 0.06	0.297 ± 0.052	0.61 ± 0.04
NRM	0.23 ± 0.05	0.22 ± 0.05		0.51 ± 0.07

\(\sigma ^2_{A_A}\): Additive genetic variance for Population A
\(\sigma ^2_{A_B}\): Additive genetic variance for Population B
\(\sigma ^2_{A_{AB}}\): Additive genetic segregation variance between populations A and B
\(\sigma ^2_{e}\): Residual variance
^aThe true residual variance was constant across replicates

ISSN: 1297-9686