Simulation of functional additive and non-additive genetic effects using statistical estimates from quantitative genetic models.

ABSTRACT: Stochastic simulation software is commonly used to aid breeders designing cost-effective breeding programs and to validate statistical models used in genetic evaluation. An essential feature of the software is the ability to simulate populations with desired genetic and non-genetic parameters. However, this feature often fails when non-additive effects due to dominance or epistasis are modeled, as the desired properties of simulated populations are estimated from classical quantitative genetic statistical models formulated at the population level. The software simulates underlying functional effects for genotypic values at the individual level, which are not necessarily the same as effects from statistical models in which dominance and epistasis are included. This paper provides the theore

SUBMITTER: Chu TT 

PROVIDER: S-EPMC11222558 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature