Table 4 Estimates of heritability and variance components from LDA and LDLA analyses when using the GWAM chip with different composite relationship matrices
From: Use and optimization of different sources of information for genomic prediction
LDA | LDLA | |||||
|---|---|---|---|---|---|---|
\(V_{A}\) | \(V_{E}\) | \(h^{2}\) | \(V_{A}\) | \(V_{E}\) | h 2 | |
\(\uplambda = 0\) | 54.94 (7.41) | 104.54 (5.21) | 0.34 (0.04) | 57.26 (7.08) | 103.78 (4.74) | 0.36 (0.04) |
\(\uplambda = 0.1\) | 68.43 (7.80) | 92.25 (5.05) | 0.43 (0.04) | 64.25 (7.10) | 96.25 (4.53) | 0.40 (0.04) |
\(\uplambda = 0.2\) | 66.53 (7.44) | 92.06 (4.79) | 0.42 (0.04) | 62.13 (6.79) | 96.13 (4.36) | 0.39 (0.03) |
\(\uplambda = 0.3\) | 63.53 (7.12) | 93.59 (4.57) | 0.40 (0.04) | 59.61 (6.55) | 97.14 (4.22) | 0.38 (0.03) |
\(\uplambda = 0.4\) | 60.60 (6.83) | 95.62 (4.38) | 0.39 (0.04) | 57.31 (6.35) | 98.54 (4.11) | 0.37 (0.03) |
\(\uplambda = 0.5\) | 57.84 (6.58) | 97.88 (4.20) | 0.37 (0.03) | 55.23 (6.19) | 100.15 (4.00) | 0.36 (0.03) |
\(\uplambda = 0.6\) | 55.23 (6.34) | 100.27 (4.05) | 0.36 (0.03) | 53.28 (6.05) | 101.93 (3.90) | 0.34 (0.03) |
\(\uplambda = 0.7\) | 52.66 (6.11) | 102.78 (3.90) | 0.34 (0.03) | 51.34 (5.91) | 103.89 (3.81) | 0.33 (0.03) |
\(\uplambda = 0.8\) | 49.99 (5.88) | 105.46 (3.77) | 0.32 (0.03) | 49.22 (5.76) | 106.09 (3.72) | 0.32 (0.03) |
\(\uplambda = 0.9\) | 46.94 (5.62) | 108.39 (3.66) | 0.30 (0.03) | 46.64 (5.57) | 108.64 (3.64) | 0.30 (0.03) |
\(\uplambda = 1\) (LD) | 43.08 (5.28) | 111.73 (3.57) | 0.28 (0.03) | 43.08 (5.28) | 111.73 (3.57) | 0.28 (0.03) |