Volume 17 Issue 1
Feb.  2021
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CHEN Jian, GUO Dan, ZHAI Ziqing, YU Dahui, BAI Lirong. Correlation analysis of morphological traits and body mass traits of Coelomactra antiquata[J]. South China Fisheries Science, 2021, 17(1): 45-51. DOI: 10.12131/20200180
Citation: CHEN Jian, GUO Dan, ZHAI Ziqing, YU Dahui, BAI Lirong. Correlation analysis of morphological traits and body mass traits of Coelomactra antiquata[J]. South China Fisheries Science, 2021, 17(1): 45-51. DOI: 10.12131/20200180
shu

Correlation analysis of morphological traits and body mass traits of Coelomactra antiquata

  • 1.

    Ocean College, Beibu Gulf University/Guangxi Key Laboratory of Beibu Gulf Marine Biodiversity Conservation, Qinzhou 535011, China

  • 2.

    College of Animal Science and Technology, Guangxi University, Nanning 530005, China

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  • Received Date: August 25, 2020
  • Revised Date: October 13, 2020
  • Accepted Date: October 30, 2020
  • Available Online: December 01, 2020
    Graphical Abstract
    • Abstract

  • To evaluate the effects of shell phenotypic traits on the  body mass of Coelomactra antiquata wild population, we measured eight traits including shell height (SH), shell length (SL), shell width (SW), anterior length (PL), posterior length (PL), shell mass (SM), visceral-mass mass (VM) and body mass (BM) from 178 individuals of C. antiquata. The shell traits (SH, SL, SW, AL, GL, SM) were used as independent variables and mass traits (BM, VM) as dependent variables for path coefficient and multiple regression analysis. The results show that the maximal coefficient of variance was in visceral-mass mass, with very significant difference in correction coefficients among the eight quantitative traits of C. antiquata (P<0.01), and the correlation coefficients between body mass and visceral-mass mass and that of shell height and shell mass were the highest, with values of 0.831 and 0.646, respectively. Shell width and shell mass had the greatest direct influence on body mass and visceral-mass mass, and the path coefficients were 0.362 and 0.487, respectively, and the degree of determination analysis was consistent with the path analysis results. The optimal multiple regression equations of shell traits on mass traits were established through stepwise multiple regression analysis (R2<0.85).

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