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Assortative mating and the segregation variance.

Theoretical Population Biology

|February 1, 1983

Summary

This summary is machine-generated.

Assortative mating models for continuous traits are simplified when segregation variance is constant. This study shows this approximation holds for many loci, minimizing changes in segregation variance due to mating and selection.

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Area of Science:

Quantitative genetics
Population genetics

Background:

Assortative mating models for continuous traits often utilize segregation variance.
Feldman and Cavalli-Sforza highlighted its importance in population biology.

Purpose of the Study:

To examine the behavior of segregation variance in a general additive model.
To assess the impact of assortative mating and selection on segregation variance.

Main Methods:

Analysis of existing results on genic variance and gamete correlations.
Mathematical modeling of additive genetic systems.

Main Results:

The effects of assortative mating and selection on segregation variance are minimal when the effective number of loci is large.

Related Experiment Videos

Constant segregation variance models offer a reasonable approximation for polygenic traits.

Conclusions:

Models assuming constant segregation variance are valid approximations for characters influenced by numerous loci.
The impact of mating systems and selection on segregation variance diminishes with increased genetic complexity.