ZHANG Yuqing, GUO Huayang, ZHANG Nan, LIU Baosuo, ZHU Kecheng, XIAN Lin, ZHU Tengfei, ZHANG Dianchang. Path analysis of partial growth-related traits for wild large yellow croaker (Larimichthys crocea) of different geographical populations[J]. South China Fisheries Science. DOI: 10.12131/20230203
Citation: ZHANG Yuqing, GUO Huayang, ZHANG Nan, LIU Baosuo, ZHU Kecheng, XIAN Lin, ZHU Tengfei, ZHANG Dianchang. Path analysis of partial growth-related traits for wild large yellow croaker (Larimichthys crocea) of different geographical populations[J]. South China Fisheries Science. DOI: 10.12131/20230203

Path analysis of partial growth-related traits for wild large yellow croaker (Larimichthys crocea) of different geographical populations

  • Morphological traits reflect the diversity of different of large yellow croaker (Larimichthys crocea) of different geographic populations, so the morphological traits of L. crocea selected on the basis of different geographic populations are also slightly different. In order to provide references of phenotypic traits for the breeding of L. crocea and the selection of seedlings during artificial proliferation and release, we collected wild L. crocea from three locations (Zhanjiang, Guangdong Province; Xiamen, Fujian Province; Zhoushan, Zhejiang Province), measured their total length, body length, body height as well as caudal stalk height, as well as conducted correlation analysis, path analysis and multiple stepwise regression analysis. The coefficient of variation in body mass ranged from 17.44% to 19.79% among the three L. crocea populations. There was an extremely significant correlation among all the phenotypic traits (P<0.01). The numbers of phenotypic traits which played a major role in the populations of Zhanjiang, Xiamen and Zhoushan were 2 (Body length, body height), 3 (Total length, body length, body height), and 2 (Total length, body length), respectively. The multiple correlation coefficients (R) of phenotypic traits with significant effects on body mass for Zhanjiang, Xiamen and Zhoushan populations were 0.962, 0.915 and 0.964, respectively. After eliminating morphological traits with insignificant coefficients to body mass, we established the multiple regression equation by multiple regression analysis. The morphological traits retained by multiple regression analysis were consistent with those identified by path analysis.
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