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不同规格绿鳍马面鲀形态性状对体重影响的通径分析
边 力1, 刘 刚2, 张庆文1, 刘 琨1,3, 陈四清1, 李凤辉1, 孟 乾1, 刘长琳1, 葛建龙1
1.农业农村部海洋渔业可持续发展重点实验室 中国水产科学研究院黄海水产研究所 青岛 266071;2.青岛市黄岛区海洋与渔业局 青岛 266400;3.上海海洋大学水产与生命学院 上海 201306
摘要:
为优化绿鳍马面鲀(Thamnaconus septentrionalis)养殖技术、扩大产业化规模,本研究利用通径分析方法探究了不同规格绿鳍马面鲀形态性状对体重的影响。以体重为依据,将获得的绿鳍马面鲀样品划分为3个不同规格(小、中和大),分别测量了体重与全长(FL)、体长(BL)、体高(BH)、头长(HL)、吻长(SL)、眼径(ED)、尾柄长(CL)和尾柄高(CH)8个形态性状,通过相关分析和通径分析,计算各个形态性状间的相关系数,以及各个形态指标对于体重的通径系数、决定系数,最终建立依据形态性状估算体重的最优线性回归方程。结果显示,影响不同规格绿鳍马面鲀体重的主要形态指标存在差异,小规格为体高、体长、眼径和尾柄长,中规格为体长、尾柄高、头长、体高、全长和尾柄长,大规格为体高、全长和尾柄高。小、中及大规格的回归方程分别为:Y=–84.753+17.263XBH +6.572XBL–28.928XED–11.353XCL;Y=–325.824+20.321XBL+94.047XCH–11.425XHL+15.713XBH–7.218XFL +15.744XCL;Y=–516.433+38.012XBH+10.545XFL+82.752XCH。3个不同规格绿鳍马面鲀,形态性状对体重的决定系数之和均大于0.85,说明本研究得到的形态性状为影响绿鳍马面鲀体重的重点性状。本研究阐明了不同规格绿鳍马面鲀体重和形态性状的相关关系,对全人工养殖技术的完善具有重要的参考价值。
关键词:  绿鳍马面鲀  形态性状  相关分析  通径分析  回归分析
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Path Analysis of the Effects of Morphometric Traits on Body Weight of Thamnaconus septentrionalis at Different Sizes
BIAN Li1, LIU Gang2, ZHANG Qingwen1, LIU Kun1,3, CHEN Siqing1, LI Fenghui1, MENG Qian1, LIU Changlin1, GE Jianlong1
1.Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071;2.Huangdao Ocean and Fisheries Administration, Qingdao 266400;3.College of Fisheries and Life Science,Shanghai Ocean University, Shanghai 201306
Abstract:
Thamnaconus septentrionalis is a common economic marine fish species that can be found in coastal waters of China. The artificial breeding technique has been established for T. septentrionalis. In order to optimize artificial culture techniques and to promote industrialization of T. septentrionalis, path analysis was conducted to investigate the effects of morphological traits on body weight. According to body weight, the samples were divided into 3 groups (small size, medium size, and large size). Full length (FL), body length (BL), body height (BH), head length (HL), snout length (SL), eye diameter (ED), caudal peduncle length (CL), caudal peduncle height (CH), and body weight(BW) of T. septentrionalis were measured. We calculated the correlation coefficients, path coefficients and determination coefficients. The regression equations with morphological traits as variables and body weight as the dependent variable at each size were established. The results showed that the morphological traits affecting body weight at different sizes were different. Body height, body length, eye diameter, and caudal peduncle length were the significant traits affecting body weight at small sizes; for medium T. septentrionalis, the morphometric traits that significantly affected body weight were body length, caudal peduncle height, head length, body height, full length, and caudal peduncle length; for large T. septentrionalis, the significant traits were body height, full length, and caudal peduncle height. The regression equations for small, medium and large size: Y=–84.753+17.263XBH+6.572XBL–28.928XED–11.353XCL; Y=–325.824+20.321XBL+94.047XCH–11.425XHL +15.713XBH–7.218XFL+15.744XCL; Y=–516.433+38.012XBH +10.545XFL+82.752XCH. The sums of the coefficients of determination at each size were all greater than 0.85. This indicates the main morphological traits affecting body weight were found. This study can serve as a valuable tool to improve the culture industry of T. septentrionalis.
Key words:  Thamnaconus septentrionalis  Morphometric traits  Correlation analysis  Path analysis  Regression analysis