Target-oriented prioritization: targeted selection strategy by integrating organismal and molecular traits through predictive analytics in breeding

Table 1 The identification rate of TOP algorithm in the maize NCII popualtion

Pool size^a	Flowering time (3)^b	Plant architecture (6)	Flowering time +Plant architecture (9)	Yield (9)	Full (18)	Random^c	Improvement^d
20	0.322	0.801	0.844	0.545	0.909	0.05	18.2
50	0.188	0.681	0.736	0.392	0.841	0.02	42.1
100	0.116	0.571	0.636	0.293	0.771	0.01	77.1
200	0.069	0.454	0.526	0.212	0.686	0.005	137.2
400	0.039	0.345	0.416	0.148	0.587	0.0025	234.8
600	0.028	0.287	0.355	0.117	0.529	0.00167	316.8
800	0.022	0.248	0.314	0.098	0.486	0.00125	388.8
1000	0.018	0.222	0.283	0.086	0.453	0.001	453.0

^aPool size indicates the number of candidate individuals needed to be searched for the target
^bThe trait group that used to identify the candidate individual similar to a target, the value within the parenthesis indicates the number of traits at this group
^cIt indicates the probability of successful identification of a defined target from a N-sized pool by chance.
^dIt indicates the fold of the TOP accuracy beyond the random, equal to the identification rate using 18 traits divided by the value by chance

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