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A concise, accessible introduction to the principal ideas, methods, and underlying statistical concepts for understanding and applying evolutionary quantitative genetics. It includes a broad taxonomic range of examples - human, animal, and plant; both model organisms and wild populations.
Sommario
- Introduction
- 1: Selection on a Single Trait
- 2: Selection on Multiple Traits
- 3: The Selection Surface and Adaptive Landscape for a Single Trait
- 4: The Selection Surface and Adaptive Landscape for Multiple Traits
- 5: Inheritance of a Single Trait
- 6: Inheritance of Multiple Traits
- 7: Modularity, Performance, and Functional Complexes
- 8: Drift of a Single, Neutral Trait
- 9: Drift of Multiple, Neutral Traits
- 10: Response of a Single Trait to Selection
- 11: Response of Multiple Traits to Selection
- 12: Evolution of a Single Trait on a Stationary Adaptive Landscape
- 13: Evolution of Multiple Traits on a Stationary Adaptive Landscape
- 14: Trait Evolution on Dynamic Adaptive Landscapes
- 15: Evolution of Genetic Variance
- 16: Evolution of the G-Matrix on a Stationary Adaptive Landscape
- 17: Evolution of the G-Matrix on Dynamic Adaptive Landscapes
- 18: Evolution Along Selective Lines of Least Resistance
- 19: Speciation and Extinction of Lineages
- 20: Coevolution of Species with Trait-Based Interactions
- 21: Coevolution of Species with Density-Dependent Interactions
- 22: From Evolutionary Process to Pattern: A Synthesis
Info autore
Stevan J. Arnold is Professor Emeritus, Department of Integrative Biology, Oregon State University, USA. He was made a Fellow of the AAA&S (American Academy of Arts and Sciences) in 2009, and has held the presidency of both the Society for the Study of Evolution (1998) and the American Society of Naturalists (2012). He is one of the top experts in the field and has published large numbers of highly cited academic articles in the realm of quantitative genetics.
Riassunto
A concise, accessible introduction to the principal ideas, methods, and underlying statistical concepts for understanding and applying evolutionary quantitative genetics. It includes a broad taxonomic range of examples - human, animal, and plant; both model organisms and wild populations.
