The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
An ecologist’s guide to the animal model
Open accessAbstract
Summary: 1. Efforts to understand the links between evolutionary and ecological dynamics hinge on our ability to measure and understand how genes influence phenotypes, fitness and population dynamics. Quantitative genetics provides a range of theoretical and empirical tools with which to achieve this when the relatedness between individuals within a population is known. 2. A number of recent studies have used a type of mixed‐effects model, known as the animal model, to estimate the genetic component of phenotypic variation using data collected in the field. Here, we provide a practical guide for ecologists interested in exploring the potential to apply this quantitative genetic method in their research. 3. We begin by outlining, in simple terms, key concepts in quantitative genetics and how an animal model estimates relevant quantitative genetic parameters, such as heritabilities or genetic correlations. 4. We then provide three detailed example tutorials, for implementation in a variety of software packages, for some basic applications of the animal model. We discuss several important statistical issues relating to best practice when fitting different kinds of mixed models. 5. We conclude by briefly summarizing more complex applications of the animal model, and by highlighting key pitfalls and dangers for the researcher wanting to begin using quantitative genetic tools to address ecological and evolutionary questions.
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Cites
Mixed-Effects Models in S and S-PLUS
(2001) · Technometrics · doi:10.1198/tech.2001.s574 · Cited by 9,278
Mixed-Effects Models in S and S-PLUS
(2000) · Statistics and Computing · doi:10.1007/b98882 · Cited by 930
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Harrison, X. A., Donaldson, L., Correa-Cano, M. E., Evans, J., Fisher, D. N., Goodwin, C. E. D., Robinson, B. S., Hodgson, D. J., & Inger, R. (2018) · PeerJ · doi:10.7717/peerj.4794 · Cited by 2,094
Quantifying individual variation in behaviour: mixed‐effect modelling approaches
Dingemanse, N. J., & Dochtermann, N. A. (2013) · Journal of Animal Ecology · doi:10.1111/1365-2656.12013 · Cited by 1,081
Beyond DNA: integrating inclusive inheritance into an extended theory of evolution
Danchin, É., Charmantier, A., Champagne, F. A., Mesoudi, A., Pujol, B., & Blanchet, S. (2011) · Nature Reviews Genetics · doi:10.1038/nrg3028 · Cited by 860
“Traditional approaches, combined with the use of statistical methods incorporating pedigree”
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Common garden experiments in the genomic era: new perspectives and opportunities
de Villemereuil, P., Gaggiotti, O. E., Mouterde, M., & Till-Bottraud, I. (2016) · Heredity · doi:10.1038/hdy.2015.93 · Cited by 384
Metadata
- Authors
- Wilson, A. J., Réale, D., Clements, M. N., Morrissey, M. M., Postma, E., Walling, C. A., Kruuk, L. E. B., & Nussey, D. H.
- Venue
- Journal of Animal Ecology
- Publisher
- Wiley
- Published
- 2009-12-11
- Volume
- 79
- Issue
- 1
- Pages
- 13-26
- ISSN
- 0021-8790 (ISSN-L)
- 1365-2656
- OpenAlex
- W1969847116
- Cited by
- 1,029
- References
- 2
- FWCI
- 31.46
- Type
- journal article
- Language
- en
- Open access
- green
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- Wilson, A. J., Réale, D., Clements, M. N., Morrissey, M. M., Postma, E., Walling, C. A., Kruuk, L. E. B., & Nussey, D. H. (2010). An ecologist’s guide to the animal model. Journal of Animal Ecology. https://doi.org/10.1111/j.1365-2656.2009.01639.x
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