Methodb | SML | MR | CIM | BIM |
---|
MR
| 0.65 ± 0.04 | - | | |
CIM
| 0.80 ± 0.09 | 0.72 ± 0.15 | - | |
BIM
| 0.48 ± 0.13 | 0.46 ± 0.15 | 0.44 ± 0.14 | - |
- a The values given are means ± SD across the nine traits investigated in this study.
- b QTL-detection methods were: SML, Statistical Machine Learning; MR, single Marker Regression; CIM, Composite Interval Mapping with 20 background markers at > 10 cM distance from the tested interval, and BIM, Bayesian Interval Mapping.