Table 2.
QTLs identified through a multi-SNP regression model fitted with relative net root growth (RNRG) data
| QTL | Chr | SNP_ID | Position (Mbp) | -log 10 ( P ) | Effect | R P 2 (%) | CI (Mbp) |
|---|---|---|---|---|---|---|---|
| qALT2 | 2 | S2_212940514 | 212.94 | 4.83 | 9.14 | 15.47 | 208.20 - 215.41 |
| qALT3 | 3 | S3_187460236 | 187.46 | 8.68 | 13.11 | 27.51 | 186.73 - 188.90 |
| qALT5 | 5 | S5_30301926 | 30.30 | 5.46 | 9.82 | 17.56 | 18.70 - 40.10 |
| qALT6 | 6 | ZmMATE1 | 5.86 | 9.74 | 14.21 | 30.54 | 5.44 - 5.96 |
| qALT8 | 8 | S8_22681622 | 22.68 | 6.17 | 10.43 | 19.86 | 17.06 - 27.64 |
| R T 2 (%) | 62.78 | ||||||
Chr: maize chromosome; SNP_ID indicates the chromosome followed by the physical position in bp; ZmMATE1 is the sequence-tagged site marker developed within ZmMATE1.
The position of each QTL was determined in Mbp (Mega base pairs) as the highest -log10 (P-value).
R P 2(%) is the percentage of the phenotypic variance explained by each QTL and R T 2(%) is the percentage of the phenotypic variance explained by the full model, including all significant QTLs.
CI is the 95% confidence interval of the QTL position.