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Intra-specific pelage color variation in a South American small rodent species

Overview of attention for article published in Brazilian Journal of Biology, March 2017
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Title
Intra-specific pelage color variation in a South American small rodent species
Published in
Brazilian Journal of Biology, March 2017
DOI 10.1590/1519-6984.00615
Pubmed ID
Authors

M. L. Sandoval Salinas, R. M. Barquez, E. M. Colombo, J. D. Sandoval

Abstract

Intra-specific color variation is often underestimated by researchers, and among mammals, intra-specific differences in coloration are poorly documented for most species. The main goal of this study was to apply an objective color measurement methodology to the study of a specific problem: the detection, if any, of patterns of changes in the fur color of specimens of Akodon budini in relation to biological (i.e., sex) and environmental (i.e., season) variables. We hypothesize that coat color will be more homogeneous in males than in females and that coat color will be darker in winter than in summer, the latter being orange. We measured the pelage color on five points over the dorsal surface of 26 A. budini museum specimens using a spectroradiometer and a diffuse illumination cabin. We used Principal Component Analysis to describe the association between the color variables, sex and season, and each of the observations. We then used general linear models of Analysis of Variance to examine relationships between color data, season, and sex. The results clearly confirm the hypothesis related to seasonal coat color change but do not directly confirm the hypothesis related to changes in coat color in relation to sex, and we show the complexity of the studied pattern. In conclusion, undoubtedly, the studied variables should accordingly be considered when studying the coloration of specimens for characterization, identification and discrimination of different taxonomic units based on color.

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The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 8%
Professor > Associate Professor 1 8%
Researcher 1 8%
Unknown 10 77%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 15%
Engineering 1 8%
Unknown 10 77%