Table 3.
QTLs identified through a multi-SNP regression model fitted with net root growth in nutrient solution without aluminum (NRG_c) data
| QTL | Chr | SNP_ID | Position (Mbp) | -log 10 ( P ) | Effect | R P 2 (%) | CI (Mbp) |
|---|---|---|---|---|---|---|---|
| qNRG_c1 | 1 | S1_69700844 | 69.70 | 7.98 | −15.97 | 25.06 | 67.25 - 71.15 |
| qNRG_c3 | 3 | S3_195644732 | 195.64 | 10.50 | −18.97 | 32.18 | 187.71 - 195.96 |
| qNRG_c6 | 6 | S6_158261558 | 158.26 | 10.20 | −18.46 | 31.35 | 156.99 - 158.45 |
| R T 2 (%) | 56.88 |
Chr: maize chromosome; SNP_ID indicate the chromosome and the physical position in bp.
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.