Table 5. The number of times each QTL has been correctly selected over 50 replications, together with the average number of wrongly selected markers (false positives).
n = 200 | n = 200 | n = 500 | n = 500 | |||||
---|---|---|---|---|---|---|---|---|
k = 10 |
k = 100 |
k = 10 |
k = 100 |
|||||
QTL | F | N | F | N | F | N | F | N |
35 | 50 | 47 | 50 | 0 | 50 | 50 | 50 | 50 |
52 | 4 | 0 | 49 | 0 | 44 | 0 | 50 | 0 |
78 | 0 | 0 | 50 | 0 | 37 | 3 | 50 | 0 |
98 | 0 | 0 | 45 | 0 | 36 | 0 | 50 | 0 |
118 | 49 | 43 | 50 | 0 | 50 | 50 | 50 | 50 |
174 | 0 | 0 | 11 | 0 | 2 | 0 | 46 | 0 |
216 | 19 | 1 | 49 | 0 | 47 | 38 | 50 | 0 |
358 | 4 | 0 | 50 | 0 | 43 | 0 | 50 | 0 |
433 | 0 | 0 | 43 | 0 | 27 | 0 | 50 | 0 |
Average false positive | 0.04 | 0.04 | 0.32 | 0 | 0.06 | 0.07 | 0.08 | 0 |
F and N represent VBfun and VBnonfun, respectively [assuming the AR(1) covariance structure in the model].