2008
DOI: 10.1675/1524-4695-31.3.448
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Morphometric Determination of Gender in Adult Humboldt Penguins (Spheniscus humboldti  )

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Cited by 13 publications
(11 citation statements)
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“…We used a logistic regression to develop the morphometric sex identification model (Rodriguez et al , Gill and Vonhof , Wallace et al ). We randomly chose 80% of the data ( n = 346) to use as a training data set to build potential models (Rodriguez et al , Reynolds et al ).…”
Section: Methodsmentioning
confidence: 99%
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“…We used a logistic regression to develop the morphometric sex identification model (Rodriguez et al , Gill and Vonhof , Wallace et al ). We randomly chose 80% of the data ( n = 346) to use as a training data set to build potential models (Rodriguez et al , Reynolds et al ).…”
Section: Methodsmentioning
confidence: 99%
“…Accurate sexual determination is important in understanding common questions of population ecology, including sex ratios in a breeding population, differential mortality, behavioral studies (e.g., male or female incubation behavior), differential habitat selection, and sex‐specific demographics (Iko et al , Gill and Vonhof , Wallace et al ). These topics are difficult to study in the greater roadrunner ( Geococcyx californianus; roadrunner) because of their sexually monomorphic plumage.…”
mentioning
confidence: 99%
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“…Although age and breeding experience of the study birds was unknown, we assumed that they were residents in the breeding colony. After capture, the penguins were at first masked to reduce stress levels, and then bill depth and length measured to determine their sex (Bertellotti et al, 2002;Vanstreels et al, 2011;Wallace et al, 2008).…”
Section: Field Workmentioning
confidence: 99%
“…Information theoretics has not often been used for shape and size data (see Wallace et al, 2008 for two examples with size). For comparison with our information-theoretics approach, we also performed a more traditional a posteriori analyses, using multivariate analysis of variance (MANOVA), in which we would have rejected the null hypothesis that bill shapes were the same for titmice from ranges of the three different juniper tree species, at least along several EES axes (above view, ES3 and ES4; portrait view, ES5; profile view, ES4; each MANOVA test, F 2,131 > 5.78, P < 0.004).…”
Section: Geographical Variation In Bill Shapementioning
confidence: 99%