Table 3.
Spearman rank correlation among predicted ( and) genotypic values
h2 |
c |
n = 1000 |
n = 1000 |
n = 1000 |
n = 1000 |
n = 1000 |
n = 1000 |
||||||
0.10 |
2 |
0.26 |
0.21 |
0.61 |
0.29 |
0.26 |
0.60 |
||||||
|
3 |
0.27 |
0.22 |
0.62 |
0.31 |
0.27 |
0.57 |
||||||
|
4 |
0.32 |
0.26 |
0.52 |
0.34 |
0.29 |
0.48 |
||||||
0.25 |
2 |
0.34 |
0.31 |
0.74 |
0.33 |
0.29 |
0.73 |
||||||
|
3 |
0.37 |
0.34 |
0.74 |
0.37 |
0.34 |
0.70 |
||||||
|
4 |
0.40 |
0.33 |
0.64 |
0.40 |
0.29 |
0.56 |
||||||
0.50 |
2 |
0.54 |
0.45 |
0.66 |
0.50 |
0.42 |
0.66 |
||||||
|
3 |
0.59 |
0.47 |
0.66 |
0.54 |
0.43 |
0.64 |
||||||
|
4 |
0.61 |
0.51 |
0.64 |
0.55 |
0.46 |
0.61 |
||||||
h2 |
c |
n = 2250 |
n = 2250 |
n = 2250 |
n = 2250 |
n = 2250 |
n=2250 |
||||||
0.10 |
2 |
0.34 |
0.31 |
0.89 |
0.31 |
0.25 |
0.83 |
||||||
|
3 |
0.40 |
0.35 |
0.88 |
0.34 |
0.28 |
0.82 |
||||||
|
4 |
0.41 |
0.37 |
0.82 |
0.36 |
0.29 |
0.74 |
||||||
0.25 |
2 |
0.52 |
0.44 |
0.86 |
0.45 |
0.37 |
0.85 |
||||||
|
3 |
0.54 |
0.47 |
0.84 |
0.48 |
0.41 |
0.82 |
||||||
|
4 |
0.59 |
0.50 |
0.80 |
0.53 |
0.44 |
0.80 |
||||||
0.50 |
2 |
0.70 |
0.63 |
0.85 |
0.66 |
0.59 |
0.84 |
||||||
|
3 |
0.72 |
0.66 |
0.87 |
0.68 |
0.62 |
0.84 |
||||||
4 | 0.74 | 0.68 | 0.87 | 0.70 | 0.63 | 0.84 |
Results are for Angus (PV) and multibreed (MV) validation populations using Bayes C π linear (Con) model analysis of continuous phenotypes and Bayes C π linear (L) or threshold (T) model analysis of ordinal categorical phenotypes classified (c) as 2, 3 or 4 categories with heritabilities (h2) of 0.10, 0.25 or 0.50 in the Angus training (PT) population with (n) 1000 or 2250 observations.