Table 5 Analysis of the Cattle dataset with 3907 male selection candidates under different combinations of restrictions on the minimal and maximal 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 | – | 1.471 | 62 (65) |
0.0050 | – | 1.471 | 51 (57) |
– | 0.01 | 1.437 | 100 |
– | 0.02 | 1.464 (1.463) | 76 (77) |
– | 0.03 | 1.470 | 74 |
– | 0.04 | 1.472 (1.471) | 75 (76) |
– | 0.05 | 1.472 (1.471) | 75 |
0.0025 | 0.01 | 1.437 | 100 |
0.0025 | 0.02 | 1.462 | 68 |
0.0025 | 0.03 | 1.471 (1.470) | 61 (62) |
0.0025 | 0.04 | 1.471 | 64 (65) |
0.0025 | 0.05 | 1.472 (1.471) | 63 (65) |
0.0050 | 0.01 | 1.437 | 100 |
0.0050 | 0.02 | 1.462 | 61 |
0.0050 | 0.03 | 1.470 (1.469) | 53 (55) |
0.0050 | 0.04 | 1.471 | 55 (56) |
0.0050 | 0.05 | 1.471 | 57 |
0.0083 | 0.0083 | 1.429 | 120 |