Kira Villiers

Comparison of localGEBV and Optimal Haplotype Stacking Fitness Functions using a Novel R Package: HapSelect

The paper compares localGEBV and OHS fitness functions for parent selection in inbred crops using a novel R package, finding similar long-term genetic gains with dosage-based localGEBV offering simpler workflows.

Evolutionary computing to assemble standing genetic diversity and achieve long-term genetic gain

This paper compares selection strategies for crop breeding, finding that optimal haplotype selection (OHS) maintains more genetic diversity and achieves higher long-term gains than truncation selection or optimal cross selection.

genomicSimulation: fast R functions for stochastic simulation of breeding programs

The paper introduces genomicSimulation, a fast R tool for stochastic simulation of breeding programs using real genotypes, showing it accurately reproduces key population features.