Table 6 Analysis of the Pig dataset with 2929 selection candidates under different combinations of restrictions on the minimum and maximum contributions with respect to genetic gain and optimal number of candidates to select
From: A fast Newton–Raphson based iterative algorithm for large scale optimal contribution selection
\(Cmin\) | \(Cmax\) | \(\Delta G\) a | Number of selected animalsa |
|---|---|---|---|
0.0025 | – | 125.42 (125.39) | 62 (68) |
0.0050 | – | 125.34 (125.36) | 48 (55) |
– | 0.01 | 123.77 (123.76) | 102 |
– | 0.02 | 124.97 (124.90) | 84 (86) |
– | 0.03 | 125.19 (125.18) | 81 |
– | 0.04 | 125.34 (125.32) | 78 (79) |
– | 0.05 | 125.37 | 77 |
0.0025 | 0.01 | 123.754 | 101 |
0.0025 | 0.02 | 125.05 (124.90) | 76 (78) |
0.0025 | 0.03 | 125.24 (125.18) | 71 (73) |
0.0025 | 0.04 | 125.33 (125.32) | 70 (71) |
0.0025 | 0.05 | 125.37 | 69 |
0.0050 | 0.01 | 124.97 | 100 |
0.0050 | 0.02 | 125.05 (124.90) | 71 |
0.0050 | 0.03 | 125.24 (125.27) | 66 (67) |
0.0050 | 0.04 | 125.32 | 62 |
0.0050 | 0.05 | 125.54 (125.36) | 56 (58) |
0.0090 | 0.009 | 122.45 (122.36) | 110 |