Optimizing genomic reference populations to improve crossbred performance

Table 2 Regression coefficients of true breeding values on genomic estimated breeding values of purebred selection candidates for crossbred performance for different reference populations

Scenario	Reference population size
Scenario	9600	4800	2400	1200	600	300
Purebred-crossbred correlation is 0.75
Purebred	0.65	0.59	0.53	0.42	0.36	0.29
2wayCB_TOP	0.90	0.86	0.81	0.75	0.71	0.65
2wayCB	0.89	0.84	0.79	0.75	0.69	0.67
2wayCB_1MP	0.87	0.84	0.76	0.72	0.69	0.65
4wayCB_TOP	0.79	0.82	0.75	0.71	0.68	0.75
4wayCB	0.78	0.79	0.73	0.70	0.73	0.59
4wayCB_1MP	0.76	0.74	0.70	0.70	0.71	0.70
4wayCB_2MP	0.74	0.73	0.75	0.77	0.70	0.69
Purebred-crossbred correlation is 0.5
Purebred	0.42	0.38	0.34	0.26	0.23	0.19
2wayCB_TOP	0.94	0.94	0.92	0.94	0.90	0.87
2wayCB	0.94	0.94	0.91	0.90	0.90	0.81
2wayCB_1MP	0.96	0.91	0.90	0.87	0.87	0.83
4wayCB_TOP	0.89	0.85	0.89	0.90	0.87	0.98
4wayCB	0.88	0.86	0.86	0.86	0.87	0.85
4wayCB_1MP	0.89	0.91	0.87	0.91	0.96	0.80
4wayCB_2MP	0.89	0.83	0.86	0.87	0.84	0.83

Standard errors of the regression coefficient were ranging between 0.022 and 0.080, with an average standard error of 0.036

ISSN: 1297-9686