Table 4.
Comparison of QTN/QTL identification for different statistical models.
| Statistical | No. of | No. of | No. of non- | Average | R2 |
|---|---|---|---|---|---|
| model | QTL | QTNs | significant | R2 (%) | range (%) |
| identified | identified | QTNs | |||
| GLM | 209 | 346 | 2 | 5.57 | 0.48–15.02 |
| MLM | 1 | 1 | 0 | 15.02 | N/A |
| GEMMA | 6 | 6 | 0 | 11.13 | 3.59–15.02 |
| mrMLM | 97 | 99 | 7 | 2.75 | 0.36–15.02 |
| FASTmrEMMA | 60 | 62 | 2 | 2.82 | 0.25–6.92 |
| ISIS EM-BLASSO | 97 | 98 | 8 | 2.91 | 0.29–12.68 |
| pLARmEB | 118 | 120 | 8 | 2.69 | 0.22–12.68 |
| pKWmEB | 95 | 95 | 5 | 2.93 | 0.25–12.68 |
| FASTmrMLM | 125 | 125 | 3 | 2.69 | 0.25–15.02 |
| FarmCPU | 22 | 22 | 3 | 5.09 | 0.42–15.02 |