Table 6. Pairwise correlations coefficients between marker additive effects for combination of diseases.
| Population | Ki3/H100 1(N = 213) | Ki3/Oh7B N = 212) | NC262/H100 (N = 243) | NC262/Oh7B (N = 192) | ||||
|---|---|---|---|---|---|---|---|---|
| Disease | NLB | GLS | NLB | GLS | NLB | GLS | NLB | GLS |
| SLB | 0.12* | 0.37*** | 0.00 | 0.06 | 0.14* | 0.17* | −0.09 | 0.14* |
| NLB | . | 0.19** | . | 0.22** | . | 0.18** | . | −0.02 |
| Population | NC304/H100 (N = 239) | NC304/Oh7B (N = 209) | NC344/H100 (N = 246) | NC344/Oh7B (N = 210) | ||||
|---|---|---|---|---|---|---|---|---|
| Disease | NLB | GLS | NLB | GLS | NLB | GLS | NLB | GLS |
| SLB | 0.05 | 0.23*** | 0.19** | 0.15* | 0.08 | 0.26*** | 0.06 | 0 |
| NLB | . | 0.06 | . | 0.17 | . | 0.14* | . | 0.28*** |
1
Number of markers segregating in each population (N). Correlations between marker effects were estimated using all the markers selected by the stepwise regression procedure and used in the QTL analysis. Significant p-values are represented by ***, **, *, and * at a level of 0.001, 0.01, 0.05, and 0.1 respectively.