TABLE 4

Results with genetic scenario 3c

Methodsa%bΠ1cσe2dσs2eσe2fμgΔs/2hΔs/2i
Segment mapping1301001.04 ±0.020.53 ± 0.040.29 ± 0.04−0.03 ± 0.100.60 ± 0.080.44 ± 0.07
2571001.03 ± 0.010.72 ± 0.060.06 ± 0.02−0.02 ± 0.101.24 ± 0.09−0.16 ± 0.07
3171001.04 ± 0.010.50 ± 0.050.31 ± 0.04−0.03 ± 0.100.59 ± 0.080.45 ± 0.07
Mixed model1231001.28 ± 0.030.67 ± 0.07−0.02 ± 0.100.82 ± 0.07
2401001.22 ± 0.020.72 ± 0.05−0.08 ± 0.110.85 ± 0.06
3371001.28 ± 0.040.68 ± 0.05−0.03 ± 0.110.85 ± 0.06
Random model1231001.27 ± 0.030.92 ± 0.07−0.38 ± 0.11
2401001.22 ± 0.030.92 ± 0.05−0.44 ± 0.10
3371001.27 ± 0.040.89 ± 0.05−0.38 ± 0.10
Fixed model1331001.80 ± 0.07−0.07 ± 0.100.88 ± 0.07
233901.77 ± 0.07−0.07 ± 0.100.92 ± 0.08
3331001.80 ± 0.08−0.07 ± 0.100.89 ± 0.07
  • The statistics are the average of 30 replicates. The average simulated mean QTL variance and Δ/2 were 0.41 and 0.58 for the first cluster, and 0.42 and 0.46 for the second cluster.

  • a Segment (partition) order.

  • b Percentage of replicates where partition or segment 1 (the QTL position) corresponded to maximum likelihood.

  • c Power, computed as the percentage of replicates where LR exceeded the empirical 5% significance threshold (see Table 1), out of those where the maximum LR was at position 1.

  • d Residual variance estimate.

  • e Estimate of the genetic variance due to the complement of segment 1 (11–60 cM).

  • f Estimate of the genetic variance due to segment 1.

  • g Estimate of the general mean.

  • h Estimate of the mean difference due to the complement of segment 1.

  • i Estimate of the mean difference due to segment 1.