Computer simulations

Computer simulations are used to test the estimation of inbreeding-purging parameters in populations under different mating regimes: random mating, circular mating, and equal contributions.

Using simulated populations, we show how sexual size dimorphism can cause sexual selection when matings are influenced by mate choince and preference bias. Consequently, it might not be possible to estimate mate choice in practice from sexual selection data alone.

Genetic diversity maximization in fragmented populations is explored via two different stategies using simulated populations: maximization of allelic diversity, or expected heterozigosity. Our results show that increasing allelic diversity offers a better compromise between reducing populations inbreeding, and preserving the populations adaptive potential

An expression to compute ancestral inbreeding ($F_{a}$) as a function of th eeffective population size ($N_{e}$) is derived. Simulations are used to show detection and prediction of purging using models based on $F_{a}$ and purged inbreeding ($g$).