Skip to main content

Table 4 Average slope of regression for predicted genetic merits on adjusted phenotypes (standard error) for each method

From: A breed-of-origin of alleles model that includes crossbred data improves predictive ability for crossbred animals in a multi-breed population

 

BPM

BOM

BOA

UNCOR

COR

UNCOR

COR

UNCOR

COR

20K_P

20K_P + 4K_C

20K_P + 8K_C

20K_P + 18K_C

Crossbred

All

0.752 (0.008)

0.704 (0.008)

0.784 (0.008)

0.785 (0.008)

0.814 (0.008)

0.790 (0.008)

0.926 (0.009)

0.853 (0.008)

By bp

< 25%

1.102 (0.037)

1.067 (0.037)

1.073 (0.033)

1.071 (0.032)

1.044 (0.032)

1.034 (0.030)

1.025 (0.031)

1.017 (0.030)

≥25–< 50%

1.157 (0.075)

0.789 (0.052)

0.966 (0.048)

0.971 (0.046)

0.965 (0.047)

0.960 (0.044)

0.955 (0.042)

0.946 (0.041)

≥50–< 85%

0.871 (0.032)

0.692 (0.024)

0.725 (0.023)

0.719 (0.022)

0.727 (0.021)

0.758 (0.022)

0.758 (0.022)

0.738 (0.020)

\(\ge\)85%

0.908 (0.039)

0.763 (0.030)

0.743 (0.027)

0.727 (0.025)

0.744 (0.026)

0.729 (0.024)

0.759 (0.024)

0.730 (0.022)

Purebred

Charolais

0.822 (0.109)

0.791 (0.094)

0.811 (0.093)

0.801 (0.093)

0.821 (0.092)

0.845 (0.093)

0.865 (0.091)

Limousin

1.008 (0.084)

1.050 (0.081)

1.039 (0.082)

1.047 (0.079)

1.033 (0.080)

1.034 (0.078)

1.025 (0.079)

  1. bp: breed proportion of the main two breeds