Optimisation of marker assisted selection for abalone breeding programs

Abstract

A computer simulation model was used to optimise strategies for marker assisted selection with best linear unbiased prediction (MBLUP) for quantitative traits in a selective breeding program for the southern Australian abalone industry. The simulation model assumed five marker loci associated with genes affecting growth rate explained 50% of the genetic variance for this trait. Use of markers associated with improved disease resistance was also modelled. Parameters and simulation scheme used are described. The simulations accounted for the possibility of early induction of reproductive condition to reduce generation intervals and for selective genotyping. Affects on profitability were calcul..