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Experimental EvolutionConcepts, Methods, and Applications of Selection Experiments$
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Theodore

Print publication date: 2009

Print ISBN-13: 9780520247666

Published to California Scholarship Online: March 2012

DOI: 10.1525/california/9780520247666.001.0001

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PRINTED FROM CALIFORNIA SCHOLARSHIP ONLINE (www.california.universitypressscholarship.com). (c) Copyright University of California Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in CALSO for personal use.date: 27 September 2021

Modeling Experimental Evolution Using Individual-Based, Variance-Components Models

Modeling Experimental Evolution Using Individual-Based, Variance-Components Models

Chapter:
(p.31) 3 Modeling Experimental Evolution Using Individual-Based, Variance-Components Models
Source:
Experimental Evolution
Author(s):

Derek A. Roff

Daphne J. Fairbairn

Publisher:
University of California Press
DOI:10.1525/california/9780520247666.003.0003

This chapter provides an overview of the ways to model experimental evolution. There are three approaches to modeling the evolution of quantitative traits: (1) population-based models, (2) Mendelian-based models, and (3) variance-components models. The chapter focuses on variance-components models and discusses how to implement them for both single- and multiple-trait cases. To illustrate how multiple traits can be dealt with in a laboratory evolution model, it presents a case study of the laboratory evolution in the sand cricket, Gryllus firmus.

Keywords:   experimental evolution, population-based models, Mendelian-based models, variance-components models, multiple traits, laboratory evolution, sand cricket, Gryllus firmus

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