Correlation and Path Analysis of Morphological Traits and Body Mass in <i>Perca schrenkii</i>
<i>Perca schrenkii</i> populations are experiencing significant declines, yet comprehensive morphological studies are still lacking. Understanding the relationship between morphological traits and body weight is crucial for conservation and breeding programs. We analyzed 13 morphological...
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| Language: | English |
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MDPI AG
2025-07-01
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| Series: | Fishes |
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| Online Access: | https://www.mdpi.com/2410-3888/10/7/359 |
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| author | Qing Ji Zhengwei Wang Huale Lu Huimin Hao Syeda Maira Hamid Qing Xiao Wentao Zhu Tao Ai Zhaohua Huang Jie Wei Zhulan Nie |
| author_facet | Qing Ji Zhengwei Wang Huale Lu Huimin Hao Syeda Maira Hamid Qing Xiao Wentao Zhu Tao Ai Zhaohua Huang Jie Wei Zhulan Nie |
| author_sort | Qing Ji |
| collection | DOAJ |
| description | <i>Perca schrenkii</i> populations are experiencing significant declines, yet comprehensive morphological studies are still lacking. Understanding the relationship between morphological traits and body weight is crucial for conservation and breeding programs. We analyzed 13 morphological traits in 100 <i>P. schrenkii</i> specimens from Hamsigou Reservoir using correlation analysis, path analysis, and principal component analysis (PCA). Body weight exhibited the highest variability (CV = 39.76%). Strong correlations were observed between body weight and body length (<i>R</i> = 0.942), total length, and body width. A four-variable regression model explained 94.1% of body weight variation, with body length showing the strongest direct effect (path coefficient = 0.623). The first three principal components accounted for 76.687% of the total variance. Our findings demonstrate that BL, BW, BD, and ES can effectively predict body weight, providing valuable insights for the conservation and selective breeding of <i>P. schrenkii</i>. |
| format | Article |
| id | doaj-art-e3a30e1c61bc4d579b49cfb94c626aec |
| institution | DOAJ |
| issn | 2410-3888 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Fishes |
| spelling | doaj-art-e3a30e1c61bc4d579b49cfb94c626aec2025-08-20T02:45:34ZengMDPI AGFishes2410-38882025-07-0110735910.3390/fishes10070359Correlation and Path Analysis of Morphological Traits and Body Mass in <i>Perca schrenkii</i>Qing Ji0Zhengwei Wang1Huale Lu2Huimin Hao3Syeda Maira Hamid4Qing Xiao5Wentao Zhu6Tao Ai7Zhaohua Huang8Jie Wei9Zhulan Nie10College of Life Science and Technology, Tarim University, Alar 843300, ChinaCollege of Life Science and Technology, Tarim University, Alar 843300, ChinaCollege of Life Science and Technology, Tarim University, Alar 843300, ChinaCollege of Life Science and Technology, Tarim University, Alar 843300, ChinaCollege of Life Science and Technology, Tarim University, Alar 843300, ChinaXinjiang Production & Construction Corps Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin, Alar 843300, ChinaTarim Rare Fish Research Center, Alar 843300, ChinaBingtuan Fisheries Technology Promotion Station, Alar 843300, ChinaAlar Changxin Fisheries Company Limited, Alar 843300, ChinaCollege of Life Science and Technology, Tarim University, Alar 843300, ChinaCollege of Life Science and Technology, Tarim University, Alar 843300, China<i>Perca schrenkii</i> populations are experiencing significant declines, yet comprehensive morphological studies are still lacking. Understanding the relationship between morphological traits and body weight is crucial for conservation and breeding programs. We analyzed 13 morphological traits in 100 <i>P. schrenkii</i> specimens from Hamsigou Reservoir using correlation analysis, path analysis, and principal component analysis (PCA). Body weight exhibited the highest variability (CV = 39.76%). Strong correlations were observed between body weight and body length (<i>R</i> = 0.942), total length, and body width. A four-variable regression model explained 94.1% of body weight variation, with body length showing the strongest direct effect (path coefficient = 0.623). The first three principal components accounted for 76.687% of the total variance. Our findings demonstrate that BL, BW, BD, and ES can effectively predict body weight, providing valuable insights for the conservation and selective breeding of <i>P. schrenkii</i>.https://www.mdpi.com/2410-3888/10/7/359body weightprincipal component analysiscorrelation analysis |
| spellingShingle | Qing Ji Zhengwei Wang Huale Lu Huimin Hao Syeda Maira Hamid Qing Xiao Wentao Zhu Tao Ai Zhaohua Huang Jie Wei Zhulan Nie Correlation and Path Analysis of Morphological Traits and Body Mass in <i>Perca schrenkii</i> Fishes body weight principal component analysis correlation analysis |
| title | Correlation and Path Analysis of Morphological Traits and Body Mass in <i>Perca schrenkii</i> |
| title_full | Correlation and Path Analysis of Morphological Traits and Body Mass in <i>Perca schrenkii</i> |
| title_fullStr | Correlation and Path Analysis of Morphological Traits and Body Mass in <i>Perca schrenkii</i> |
| title_full_unstemmed | Correlation and Path Analysis of Morphological Traits and Body Mass in <i>Perca schrenkii</i> |
| title_short | Correlation and Path Analysis of Morphological Traits and Body Mass in <i>Perca schrenkii</i> |
| title_sort | correlation and path analysis of morphological traits and body mass in i perca schrenkii i |
| topic | body weight principal component analysis correlation analysis |
| url | https://www.mdpi.com/2410-3888/10/7/359 |
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