2016
DOI: 10.15835/nsb849852
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Morphological Characterization of Wild and Cultured <i>Clarias gariepinus</i> (Burchell 1822) using Principal Component and Cluster Analyses

Abstract: The study was designed to describe the phenotypic variations in morphometric and meristic characters of Clarias gariepinus between two populations in different towns in Ekiti State, Nigeria. Fish samples were collected from Ero dam (wild population at Ikun Ekiti) and Christeve Aquaculture (cultured population at Iyin Ekiti) using cast net and dragging net. The samples were brought to Zoology Laboratory in Ekiti State University and measurements for morphometrics (24) and meristics (11) of each of the investiga… Show more

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Cited by 4 publications
(3 citation statements)
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“…Hence, the measurements of each of the morphometric traits of each catfish standardised to fish size (SL) followed the protocol of Reist (1985) to remove size effect as follows: Mn = (Mo/SL)%, where: Mn is the corrected size, Mo is the original measurement (total length), and SL is the standard length. However, the measurements of each of the meristic traits were not standardised (Ola‐oladimeji et al, 2016).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Hence, the measurements of each of the morphometric traits of each catfish standardised to fish size (SL) followed the protocol of Reist (1985) to remove size effect as follows: Mn = (Mo/SL)%, where: Mn is the corrected size, Mo is the original measurement (total length), and SL is the standard length. However, the measurements of each of the meristic traits were not standardised (Ola‐oladimeji et al, 2016).…”
Section: Methodsmentioning
confidence: 99%
“…However, the measurements of each of the meristic traits were not standardised (Ola-oladimeji et al, 2016).…”
Section: Morphometric and Meristic Characterisationmentioning
confidence: 99%
“…PCA on the morphometric and meristic data were evaluated. Population centroids with 95 % ellipses obtained from the PCA scatter diagram were used to observe relationships among populations (Turan et al, 2005;Oladimeji et al, 2015;Ola-Oladimeji et al, 2016). PCA loadings were used to show the traits with the highest variation within the population Ola-Oladimeji et al, 2016) using the unweighted Pair Group Method with Arithmetic mean for phenogram or dendrogram grouping reported by Sneath and Sokal (1973).…”
Section: Methodsmentioning
confidence: 99%