Table 1. QTLs detection for four traits using the W1 population.
| Chr. | Interval | QTL | LOD | A | D | R2 (%) |
|---|---|---|---|---|---|---|
| 1 | RM12210 | qGL1 | 3.82 | 0.026 | −0.017 | 3.96 |
| qLWR1 | 5.09 | 0.011 | −0.013 | 3.30 | ||
| 2 | Tw35293–RM266 | qTGW2 | 11.76 | 0.39 | 0.15 | 14.50 |
| qGL2 | 15.49 | 0.060 | 0.006 | 18.60 | ||
| qGW2 | 6.15 | 0.013 | 0.006 | 5.69 | ||
| 3 | RM14302–RM14383 | qGL3 | 3.81 | 0.025 | 0.027 | 4.01 |
| qGW3 | 7.26 | −0.014 | −0.004 | 6.91 | ||
| qLWR3 | 14.99 | 0.022 | 0.005 | 11.24 | ||
| 4 | RM16252–RM335 | qTGW4 | 3.01 | −0.18 | 0.06 | 3.41 |
| qGW4 | 11.81 | −0.017 | −0.013 | 11.21 | ||
| qLWR4 | 15.26 | 0.021 | 0.020 | 11.67 | ||
| 5 | RM3321–RM274 | qGL5 | 17.79 | 0.062 | 0.005 | 21.67 |
| qLWR5 | 11.31 | 0.018 | −0.009 | 8.39 | ||
| 6 | RM549 | qTGW6 | 6.58 | 0.27 | −0.22 | 7.41 |
| qGW6 | 5.82 | 0.012 | −0.004 | 5.19 | ||
| 7 | RM10–RM70 | qTGW7 | 12.15 | 0.39 | −0.09 | 15.27 |
| 8 | RM22755–RM23001 | qGW8 | 3.48 | −0.009 | −0.010 | 3.20 |
| qLWR8 | 9.84 | 0.017 | 0.005 | 7.08 | ||
| 9 | RM219–RM1896 | qGW9.1 | 3.70 | 0.009 | 0.012 | 3.88 |
| RM107 | qGW9.2 | 7.13 | 0.012 | 0.010 | 6.39 | |
| 10 | RM1108–RM7300 | qGW10 | 4.45 | −0.004 | −0.029 | 4.34 |
| qLWR10 | 8.00 | 0.012 | 0.023 | 5.28 | ||
| 11 | RM167–RM287 | qLWR11 | 7.58 | −0.016 | −0.019 | 7.05 |
| 12 | Tv963–RM27610 | qGL12 | 3.85 | 0.031 | 0.015 | 4.95 |
| qGW12 | 7.00 | −0.013 | −0.010 | 6.24 | ||
| qLWR12.1 | 23.37 | 0.027 | 0.013 | 18.05 | ||
| 12 | Pita–RM511 | qLWR12.2 | 4.59 | −0.010 | 0.015 | 3.22 |
Notes.
- TGW
- 1,000-grain weight (g)
- GL
- Grain length (mm)
- GW
- Grain width (mm)
- LWR
- Length/width ratio
- A
- additive effect of replacing a Teqing allele with a IRBB52 allele
- D
- dominance effect
- R2
- proportion of the phenotypic variance explained by the QTL