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 schemeAllele segregationEmbedded Image Embedded Image θ = 0.10Embedded Image μ = 0α = 1δ = 1σ2 = 1Power
100 × 10Low0.1082 (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 × 32Low0.1042 (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 × 100Low0.1025 (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 schemeAllele segregationp1 = 0.5q1 = 0.5θ = 0.10D = 0.20μ = 0α = 1δ = 1σ2 = 1Power
100 × 10High0.1022 (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 × 32High0.1021 (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 × 100High0.1009 (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, Embedded Image and Embedded Image are the frequencies of marker and QTL alleles, θ and Embedded Image 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.