1993
DOI: 10.1016/0301-6226(93)90049-n
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Sources of shared variability for the egyptian buffalo body shape (conformation)

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Cited by 26 publications
(32 citation statements)
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“…The present findings are in consonance with the observation of Shahin & in New Zealand White rabbits that the first factor (general size) explained the highest percentage of the total variance. Similarly (Shahin et al, 1993) reported in Egyptian buffalo that the first factor was characterized by high positive loadings on all body shape characters; the variables associated with body length had the highest loading, followed by heart girth and abdominal girth. It also corroborates the submission of Salako (2006) that the first principal component comprising seven measurements (foreleg length, tail length, face length, rump height, withers height, body length and heart girth) explained 67.7% of the generalized variance and can be considered as a generalized size factor.…”
Section: Resultsmentioning
confidence: 97%
“…The present findings are in consonance with the observation of Shahin & in New Zealand White rabbits that the first factor (general size) explained the highest percentage of the total variance. Similarly (Shahin et al, 1993) reported in Egyptian buffalo that the first factor was characterized by high positive loadings on all body shape characters; the variables associated with body length had the highest loading, followed by heart girth and abdominal girth. It also corroborates the submission of Salako (2006) that the first principal component comprising seven measurements (foreleg length, tail length, face length, rump height, withers height, body length and heart girth) explained 67.7% of the generalized variance and can be considered as a generalized size factor.…”
Section: Resultsmentioning
confidence: 97%
“…Curiously, both Yakubu & Ayoade [13] in rabbit as Shahin et al [12] in buffalo obtained positive loadings on all body measurements. The variables associated with withers height, back height and rump height had the highest loadings (component-variate correlations), followed by thoracic girth.…”
Section: Discussionmentioning
confidence: 99%
“…Body measurements have been used in large animals to contrast variation in size and shape [5,21,22] and to estimate body weight [21,22]. The correlation between body dimensions may be different if these dimensions are treated as bivariate rather than multivariate.…”
Section: Introductionmentioning
confidence: 99%
“…The correlation between body dimensions may be different if these dimensions are treated as bivariate rather than multivariate. Since body measurements are interrelated both genetically and phenotypically [3,5,8,9,10,12,21,22], the analysis of these traits should consider interdependence among these traits. The presence of linear relationships among the predictors is termed multicollinearity.…”
Section: Introductionmentioning
confidence: 99%