Table 3.
Total number of significant SNPs detected through multiple linear regression (MLR) for eight GECROS model input parameters and grain yield of the rice training population (n=213) under control conditions in the 2013 experiment
| Parameters | Significant SNPs | R 2 (%) |
|---|---|---|
| (A) Phenological | ||
| m V | 16 (20) | 74.2 |
| m R | 9 (9) | 51.6 |
| δ | 9 (9) | 65.1 |
| (B) Morphological | ||
| H max | 13 (17) | 77.0 |
| S w | 8 (9) | 47.3 |
| (C) Physiological | ||
| g set | 6 (6) | 42.2 |
| n SO | 16 (19) | 70.0 |
| N max | 13 (15) | 66.8 |
| Total SNPs | 90 (104) | |
| Grain yield | 12 | 44.3 |
Percentage of phenotypic variations (R2) explained by significant SNPs of model parameters and yield are derived from MLR (Equation 1). The numbers in parentheses refer to the number of significant SNP markers originally detected through the genome-wide association mapping study before putting them into the MLR analysis (for more details, see the Materials and methods). Coefficients of Equation 1 and the additive effect of each significant SNP for model input parameters and grain yield are given in Supplementary Table S1.