Volume 15 Issue 4
Aug.  2019
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FENG Huimin, LU Yuwei, HU Hui, NI Zhenyu, ZHANG Jian. A preliminary study on relationship between eyestalk and growth of Charybdis japonica in offshore waters of Jiangsu[J]. South China Fisheries Science, 2019, 15(4): 82-87. DOI: 10.12131/20180271
Citation: FENG Huimin, LU Yuwei, HU Hui, NI Zhenyu, ZHANG Jian. A preliminary study on relationship between eyestalk and growth of Charybdis japonica in offshore waters of Jiangsu[J]. South China Fisheries Science, 2019, 15(4): 82-87. DOI: 10.12131/20180271
shu

A preliminary study on relationship between eyestalk and growth of Charybdis japonica in offshore waters of Jiangsu

  • 1.

    College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China

  • 2.

    Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai 201306, China

  • 3.

    National Engineering Research Center for Oceanic Fisheries, Shanghai 201306, China

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  • Received Date: December 03, 2018
  • Revised Date: March 02, 2019
  • Accepted Date: April 25, 2019
  • Available Online: May 04, 2019
    Graphical Abstract
    • Abstract

  • We collected 57 individuals of Charybdis japonica from the offshore waters of Nantong, Jiangsu Province, China to analyze their eyestalk microstructure, explore their age and growth, and establish a corresponding growth model. The results show that the eyestalk microstructure of C. japonica consists of four parts: epicuticle, exocuticle, endocuticle and menbranous. The growth lines that can be used for research mainly exist in endocuticle. By analyzing the biological data and growth pattern, in addition to application of AIC method, we found that in seven commonly used growth functions, a linear function relationship is presented between carapace length and carapace width, and a power function relationship is presented among carapace length, carapace width and body mass. However, the relationship among growth lines and carapace length, carapace width as well as body mass is expressed by logistic function relationship.

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