2017
DOI: 10.1111/jeb.13122
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Describing mate preference functions and other function‐valued traits

Abstract: Mate preferences are important causes of sexual selection. They shape the evolution of sexual ornaments and displays, sometimes maintaining genetic diversity and sometimes promoting speciation. Mate preferences can be challenging to study because they are expressed in animal brains and because they are a function of the features of potential mates that are encountered. Describing them requires taking this into account. We present a method for describing and analysing mate preference functions, and introduce a … Show more

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Cited by 54 publications
(84 citation statements)
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References 97 publications
(189 reference statements)
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“…We visually inspected our preference functions to determine GAMM smoothing parameters as described in Kilmer et al. (). The first GAMM contained a single smoother and thus fit a single function representing the response of females to male signals (PC1) across all parental effects treatments; the second contained separate smoothers for each treatment and thus fit a function to each treatment.…”
Section: Methodsmentioning
confidence: 99%
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“…We visually inspected our preference functions to determine GAMM smoothing parameters as described in Kilmer et al. (). The first GAMM contained a single smoother and thus fit a single function representing the response of females to male signals (PC1) across all parental effects treatments; the second contained separate smoothers for each treatment and thus fit a function to each treatment.…”
Section: Methodsmentioning
confidence: 99%
“…At the Follows stage, the LMM/GLMM indicated differences in function slope among treatments, so we ran two GAMMs with nonparametric smooths for this courtship stage to assess function shape. We visually inspected our preference functions to determine GAMM smoothing parameters as described in Kilmer et al (2017). The first GAMM contained a single smoother and thus fit a single function representing the response of females to male signals (PC1) across all parental effects treatments; the second contained separate smoothers for each treatment and thus fit a function to each treatment.…”
Section: Shape Using Gammsmentioning
confidence: 99%
“…With each fish having been used in four replicate trials of their specific choice task, we used their shell choices to build preference functions using the program PFunc (v1.0.1; [16]).…”
Section: Preference Functionsmentioning
confidence: 99%
“…the preferences that individuals show for different phenotypic traits of potential mates [e.g [18][19][20]. At their core, preference functions are curves (splines) that are fit to data indicating which values of a trait are more or less attractive to an observer [16]. In PFunc, these curves are fit using generalised additive models.…”
Section: Preference Functionsmentioning
confidence: 99%
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