Estimation of linkage between QTL and genetic markers was illustrated using simulated data by the ML method. The application of the ML method was sraight forward. For a given density function, the likelihood function was evaluated at each round of ite...
Estimation of linkage between QTL and genetic markers was illustrated using simulated data by the ML method. The application of the ML method was sraight forward. For a given density function, the likelihood function was evaluated at each round of iteration within the parameter space. After iterations were completed, the largest value of likelihood was the point at which the likelihood converged. The magnitude of h² did not show any significant effect on the estimation of linkage between QTL and markers. However, the additive effect of marker allele had a significant effect on the estimation of r. As the value of marker allele was larger, the linkage was underestimated. Since the dominance effect was not considered in the simulation, further investigation is needed to find possible interactions between the magnitude of the dominance. effect and marker effect.