Literature DB >> 8590169

A FORTRAN program to simulate the evolution of genetic variability in a small population.

F Fournet1, F Hospital, J M Elsen.   

Abstract

This paper presents a FORTRAN-77 program that performs Monte Carlo simulation of the evolution of genetic structure in a small population under selection. The aim is to study the possibility of foreseeing a response plateau in a theoretical population, depending on population size and management, and to apply this to small populations actually selected, to predict a possible exhaustion of genetic variability. A set of subroutines describing the different steps in a selection cycle (birth, expression of phenotypic value, genetic evaluation, selection, reproduction, death) is available and the user can choose the sequence of subroutines, the characteristics of individuals submitted to each step, and also build more personal subroutines if necessary. The program is based on the generation of exact genotypes and their transmission from parents to offspring, through simulation of meiosis and pairing of gametes. Parameters concerning the genome, the initial structure of the population and its management are required. The genetic mean and variance of the population for each new cycle of selection are given as outputs. Examples of applications are given and discussed.

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Year:  1995        PMID: 8590169     DOI: 10.1093/bioinformatics/11.5.469

Source DB:  PubMed          Journal:  Comput Appl Biosci        ISSN: 0266-7061


  1 in total

1.  Comparison of infinitesimal and finite locus models for long-term breeding simulations with direct and maternal effects at the example of honeybees.

Authors:  Manuel Plate; Richard Bernstein; Andreas Hoppe; Kaspar Bienefeld
Journal:  PLoS One       Date:  2019-03-06       Impact factor: 3.240

  1 in total

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