Modeling Experimental Evolution Using Individual-Based, Variance-Components Models
Derek A. Roff, Daphne J. Fairbairn · 2009
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.