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Body weight prediction models of Macrognathus pancalus (Hamilton, 1822) from morphometric traits using principal component analysis: Body weight prediction models of Macrognathus pancalus

Indian Agricultural Research Journals

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Title Body weight prediction models of Macrognathus pancalus (Hamilton, 1822) from morphometric traits using principal component analysis: Body weight prediction models of Macrognathus pancalus
 
Creator Surendra Kumar Ahirwal
Singh, Jaspreet
Kumar, Tarkeshwar
Bharti, Vivekanand
Sarma, Kamal
Kumar, Ravi
Raut, Shailendra
 
Subject Body measurements. Meristic counts. Prediction model. Macrognathus pancalus
 
Description In the present study, an attempt was made to evaluate the body weight of barred spiny eel based on morphologic traits. Ten morphometric characters and five meristic counts were measured for 38 specimens, ranging in standard length from 77.80 to 149.60 mm and 2.02 to 17.89 g in weight. All the data sets were standardised using the z-transformationmethod. The Kaiser-Meyer-Olkin (KMO) test was performed to measure the sample adequacy level, which was found to be 0.85. The significance of the correlation matrix in all traits was tested with Bartlett’s test of sphericity, which was found to be significant (χ2 = 793.360, df = 105, p<0.01). Four of the fifteen principal components (PCs) explained around 85% of the total variation. The first principal component (PC1) contributed 57.52% of the total variation and was represented by significant positive high-loading factors for pre-dorsal (PDL), pre-anal (PAL), and standard length (SL). The second principal component (PC2) explained 10.90% of the total variation and was represented by significant positive high-loading factors for anal fin rays (AFR) and dorsal fin rays (DFR). The third and fourth principal components explained 9.26 and 7.41% of total variation and showed high loading factors for pectoral fin (PFR), and caudal fin rays (CFR), respectively. The estimated communalities ranged from 0.658 for eye diameter (ED) to 0.978 for pre-dorsal fin length (PDL). The species’ body weight was predicted using stepwise multiple regression of interdependent morphometric traits and four extracted PCs. Stepwise multiple regression revealed that a combination of three interdependent variables, such as pre-dorsal length (PDL), body depth (BD), and post-orbital length (POL),  to be the best to predict the body weight of species based on the coefficient of determinant value (r2 = 93). Therefore, the study confirms that the species’ body weight is function of the three interdependent variables rather than orthogonal variables.
Keywords: Body measurements. Macrognathus pancalus, Meristic counts. Prediction model
 
 
 
Publisher Central Marine Fisheries Research Institute (on behalf of Indian Council of Agricultural
 
Date 2024-06-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://epubs.icar.org.in/index.php/IJF/article/view/142252
10.21077/ijf.2024.71.2.142252-03
 
Source Indian Journal of Fisheries; Vol. 71 No. 2 (2024)
0970-6011
 
Language eng
 
Relation https://epubs.icar.org.in/index.php/IJF/article/view/142252/54940
 
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