Table 5.
Trait | Size | BayesR | |||
---|---|---|---|---|---|
Merino | BL | PD | WS | ||
B-WT | 10,524 | 0.43 (0.04)a | 0.40 (0.10) | 0.11 (0.07) | 0.17 (0.07) |
W-WT | 12,415 | 0.38 (0.04) | 0.28 (0.11) | 0.13 (0.07) | 0.34 (0.07) |
PW-WT | 10,881 | 0.64 (0.04) | 0.35 (0.10) | 0.21 (0.07) | 0.22 (0.07) |
H-WT | 6846 | 0.65 (0.04) | 0.22 (0.11) | 0.06 (0.07) | 0.23 (0.07) |
Y-WT | 4701 | 0.66 (0.04) | 0.27 (0.11) | 0.27 (0.07) | 0.29 (0.07) |
A-WT | 4272 | 0.68 (0.04) | 0.42 (0.10) | 0.11 (0.07) | 0.21 (0.07) |
P-EMD | 10,568 | 0.31 (0.04) | 0.21 (0.11) | 0.49 (0.06) | 0.40 (0.06) |
P-CF | 9924 | 0.32 (0.04) | 0.30 (0.10) | 0.40 (0.07) | 0.27 (0.07) |
Y-EMD | 3845 | 0.43 (0.04) | 0.18 (0.11) | 0.15 (0.07) | 0.40 (0.06) |
Y-CF | 3841 | 0.42 (0.04) | 0.20 (0.11) | 0.24 (0.07) | 0.15 (0.07) |
aStandard error (SE) calculated according to: where r is the correlation coefficient and n is the number of paired observations; for trait abbreviations see Table 1