TABLE 3

Means and standard errors (in parentheses) of the MLEs of the genetic parameters for different sampling schemes and different heterogeneity in allelic frequency from 100 simulation replicates

 Genetic parameter Sampling scheme Allele segregation θ = 0.10 μ = 0 α = 1 δ = 1 σ2 = 1 Power 100 × 10 Low 0.1082 (0.0019) 0.1174 (0.0151) 0.1079 (0.0088) 0.1483 (0.0071) 0.0056 (0.0087) 1.0691 (0.0227) 1.0298 (0.0281) 1.0441 (0.0393) 0.79 32 × 32 Low 0.1042 (0.0018) 0.1103 (0.0106) 0.1056 (0.0047) 0.1542 (0.0032) 0.0054 (0.0015) 0.9758 (0.0143) 1.0212 (0.0192) 1.0329 (0.0265) 0.89 10 × 100 Low 0.1025 (0.0015) 0.1082 (0.0087) 0.1009 (0.0045) 0.1485 (0.0009) 0.0032 (0.0011) 0.9874 (0.0115) 1.0106 (0.0187) 0.9861 (0.0239) 0.95 Sampling scheme Allele segregation p1 = 0.5 q1 = 0.5 θ = 0.10 D = 0.20 μ = 0 α = 1 δ = 1 σ2 = 1 Power 100 × 10 High 0.1022 (0.0014) 0.1087 (0.0105) 0.1023 (0.0052) 0.1431 (0.0044) 0.0045 (0.0048) 0.9726 (0.0121) 1.0203 (0.0216) 1.0216 (0.0235) 0.91 32 × 32 High 0.1021 (0.0009) 0.1082 (0.0091) 0.1008 (0.0039) 0.1439 (0.0021) 0.0032 (0.0020) 0.9821 (0.0099) 1.0189 (0.0197) 0.9823 (0.0223) 0.94 10 × 100 High 0.1009 (0.0010) 0.1075 (0.0081) 0.1012 (0.0042) 0.1471 (0.0008) 0.0031 (0.0012) 0.9923 (0.0098) 1.0125 (0.0180) 1.0231 (0.0210) 0.96
• The sampling scheme is indicated by family number × family size, and are the frequencies of marker and QTL alleles, θ and are the recombination fraction and linkage disequilibrium between the marker and QTL, μ and σ2 are the mean and residual variance for the trait, and α and δ are the additive and dominant effects of the QTL. The power is indicated as the probability of detecting a significant linkage disequilibrium between the marker and QTL.