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Quantitative Genetic Studies of Behavioral Evolution

Catchpole, Roger, Boake, C.R.B.·1995·The Journal of Animal Ecology

Abstract

This text examines the theory and methods of quantitative genetics and presents case studies that illustrate the many ways in which the methods can be applied. The author brings together current theoretical and empirical studies to show how quantitative genetics can illuminate topics as diverse as sexual selection, migration, sociality and aggressive behaviour. Nearly half of the chapters focus on conceptual issues, ranging from quantitative genetic models to the complementary roles of quantitative genetic and optimality approaches in evolutionary studies. Other chapters illustrate how to use the techniques by providing surveys of research fields, such as the evolution of mating behaviour, sexual selection, migration and size-dependent behavioural variation. The balance of the volume offers case studies of territoriality in fruit flies, cannibalism in flour beetles, mate-attractive traits in crickets, locomotor behaviour and physiology in the garter snake, and cold adaptation in the house mouse. Taken together, these studies document both the benefits and pitfalls of quantitative genetics. This book aims to show the advanced student and scholar of behavioural evolution and genetics the many powerful uses of quantitative genetics in behavioural research.

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Metadata

Authors
Catchpole, R., & Boake, C. R. B.
Venue
The Journal of Animal Ecology
Publisher
JSTOR
Published
1995-09
Volume
64
Issue
5
Pages
667
ISSN
0021-8790 (ISSN-L)
OpenAlex
W1997434617
Cited by
392
References
0
FWCI
36.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Quantitative Genetic Studies of Behavioral Evolution. https://app.cochat.ai/papers/10.2307/5811
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Catchpole, R., & Boake, C. R. B. (1995). Quantitative Genetic Studies of Behavioral Evolution. The Journal of Animal Ecology. https://doi.org/10.2307/5811

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.