UNLABELLED: quantiNemo is an individual-based, genetically explicit stochastic simulation program. It was developed to investigate the effects of selection, mutation, recombination and drift on quantitative traits with varying architectures in structured populations connected by migration and located in a heterogeneous habitat. quantiNemo is highly flexible at various levels: population, selection, trait(s) architecture, genetic map for QTL and/or markers, environment, demography, mating system, etc. quantiNemo is coded in C++ using an object-oriented approach and runs on any computer platform. AVAILABILITY: Executables for several platforms, user's manual, and source code are freely available under the GNU General Public License at http://www2.unil.ch/popgen/softwares/quantinemo.

This paper provides a general method to derive algebraic expressions of genotype frequencies for multiple loci under various mating systems, including random mating, back-crossing, selfing, and full-sib mating. For each mating system, general equations are presented. In the case of three loci, comprehensive tables provide recurrence equations for genotype frequencies under random or self mating, and expected genotype frequencies after two generations of full-sib mating. Our results should prove useful in genetic linkage analysis.

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.