title: [The genetic analysis of long-term index selection--a simulation experiment].
abstract: The genetic effects of long-term index selection were investigated by means of Monte Carlo Method. The response and the effect on genetic structure of population to selection using four methods, that is theoretical index, emperical index, restricted index and single-trait selection, were compared. Results obtained from 50 generations demonstrated that much greater response was achieved in large populations, and selection in small ones led to a decrease in selection limit. Genetic correlation played an important role on response in small populations. Emperical index selection was more effective than theoretical index, restricted index had less response in the early period of selection but greater response in later period and also had less effect on genetic structure of population even if the genetic correlation was intense. Meanwhile, index selection could cause decrease in additive genetic variance and beritabilities while genetic correlation changed depending on the coefficients of index formulae. The suggestion is that emperical index or restricted index should be used for long-term selection for multi-traits.
authors.affiliation: Department of Animal Science, Heilongjiang August First Land Reclamation University, Mishan.
authors.forename: S
authors.initials: S
authors.lastname: Zhang
authors.forename: C
authors.initials: C
authors.lastname: Wu
mesh_terms: D003198:Computer Simulation; D008957:Models, Genetic; D009010:Monte Carlo Method