2020
DOI: 10.1016/j.jcz.2020.01.003
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Sexual dimorphism and variability of craniomandibular morphology in the Japanese giant flying squirrel, Petaurista leucogenys (Rodentia: Sciuridae)

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Cited by 7 publications
(7 citation statements)
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“…The overall body size and specific morphological traits of an organism are usually subject to natural selection (Andersson, 1994;Szekely et al, 2007;Nandini, 2011). In most mammals, male-biased sexual dimorphism prevails, whereas female-biased sexual dimorphism is found in cetaceans, bats, and flying squirrels (Schulte-Hostedde, 2007;Nandini, 2011;Biswas et al, 2020).…”
Section: Journal Of Animal Diversity (2023) | © Lorestan University P...mentioning
confidence: 99%
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“…The overall body size and specific morphological traits of an organism are usually subject to natural selection (Andersson, 1994;Szekely et al, 2007;Nandini, 2011). In most mammals, male-biased sexual dimorphism prevails, whereas female-biased sexual dimorphism is found in cetaceans, bats, and flying squirrels (Schulte-Hostedde, 2007;Nandini, 2011;Biswas et al, 2020).…”
Section: Journal Of Animal Diversity (2023) | © Lorestan University P...mentioning
confidence: 99%
“…The Mann-Whitney U-test was used to investigate differences in each variable between the sexes (Prevosti and Lamas, 2006;Biswas and Motokawa, 2019). Principal component analysis (PCA) was carried out based on the correlation matrix of log-transformed data to determine the intraspecific morphological variation (Motokawa et al, 2003;Biswas et al, 2020). We conducted a linear discriminant analysis (LDA) to examine the overall distinctiveness between the sexes (Fernández-Arjona et al, 2017;Biswas and Motokawa, 2019).…”
Section: Morphometric Analysesmentioning
confidence: 99%
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“…We calculated the arithmetic mean (M), standard deviation (SD), and coefficient of variation (CV) for all measurements of long limb-bone morphology. We used the Mann-Whitney U-test to analyze the significance of right-left difference in the longest limb bones and sexual dimorphism for each variable (Biswas and Motokawa 2019;Biswas et al 2020). The Pearson correlation coefficient was used to examine the correlation patterns of limb bone variables with the total length of the respective bones (Motokawa et al 2003;Suzuki et al 2012).…”
Section: Statistical Analysesmentioning
confidence: 99%
“…We also conducted the principal component analysis (PCA) to analyze the intraspecific variation of limb bone variables based on the correlation matrix of log-transformed data (Motokawa et al 2003;Biswas et al 2020). The significance level for all statistical tests was set at 5%.…”
Section: Statistical Analysesmentioning
confidence: 99%