A fast Newton–Raphson based iterative algorithm for large scale optimal contribution selection

Table 2 Analysis of Cattle dataset using Gencont2 and Gencont

\(\Delta F\)	\(\Delta G\) ^a	Ave_relationship^b	Number of selected candidates^a	Time^c	R^d
0.05	1.539	0.14057	15	8.1	0.999
0.01	1.471	0.06227	75	7.9	0.999
0.005	1.449 (1.448)	0.05249	104 (106)	7.9	0.998
0.001	1.424 (1.423)	0.04465	127 (128)	7.9	0.996

Different levels of rate of inbreeding with respect to genetic gain (\(\Delta G\)), number of selected individuals relative necessary computation time and correlation between assigned contributions
^aIf there was difference between the two algorithms, the result obtained with Gencont is shown in parentheses
^bAverage relationship between selected candidates
^cAmount of computation time necessary for Gencont2 expressed as the fraction of the time necessary for Gencont (in %)
^dCorrelation between assigned contributions

ISSN: 1297-9686