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不同月龄青蛤形态性状对活体质量的影响分析
引用本文:张雷雷,滕爽爽,李腾腾,邵艳卿,方军.不同月龄青蛤形态性状对活体质量的影响分析[J].海洋科学,2019,43(12):74-80.
作者姓名:张雷雷  滕爽爽  李腾腾  邵艳卿  方军
作者单位:浙江省海洋水产养殖研究所, 浙江省近岸水域生物资源开发与保护重点实验室, 中国水产科学研究院 海洋贝类工程技术研究中心, 浙江 温州 325005
基金项目:温州市科技项目(Z20160015);国家水产种质资源共享服务平台(2018DKA30470);浙江省科技计划项目(2018F10015)
摘    要:随机选取5月龄、10月龄、15月龄的青蛤(Cyclina sinensis)混合家系各220枚作为研究对象,通过测定其壳长(SL)、壳高(SH)、壳宽(SW)和活体质量(W),并采用相关性、通径和决定系数的统计分析探讨青蛤形态性状对活体质量的影响效力。结果表明:各性状与活体质量间的相关性均达极显著水平(P0.01),其中5月龄、10月龄和15月龄相关系数最大的均为壳高;通径分析结果显示,对不同月龄的活体质量的直接影响最大的均是壳高、其次壳宽、最后壳长;5月龄和15月龄的壳高和壳宽共同决定系数最大,分别为0.269和0.262, 10月龄的壳高决定系数最大为0.338。利用逐步回归的方法分别建立5月龄、10月龄、15月龄青蛤活体质量的最优回归方程分别是:W5=–0.564+0.061SH+0.051SW,R2=0.933;W10=–2.585+0.040SL+0.149SH+0.101SW,R2=0.934;W15=–7.359+0.123SL+0.210SH+0.273SW,R2=0.957。本研究结果可为青蛤高产新品系阶段选优和良种选育提供基础数据。

关 键 词:青蛤(Cyclina  sinensis)  形态性状  活体质量  通径分析
收稿时间:2019/6/24 0:00:00
修稿时间:2019/8/31 0:00:00

Effects of morphological traits on the body weight of Cyclina sinensis in different ages
ZHANG Lei-lei,TENG Shuang-shuang,LI Teng-teng,SHAO Yan-qing and FANG Jun.Effects of morphological traits on the body weight of Cyclina sinensis in different ages[J].Marine Sciences,2019,43(12):74-80.
Authors:ZHANG Lei-lei  TENG Shuang-shuang  LI Teng-teng  SHAO Yan-qing and FANG Jun
Institution:Zhejiang Mariculture Research Institute, Zhejiang Key Laboratory of Exploitation and Preservation of Coastal Bio-Resource, Engineering Research Center for Marine Bivalves, Chinese Academy of Fishery Sciences, Wenzhou 325005, China,Zhejiang Mariculture Research Institute, Zhejiang Key Laboratory of Exploitation and Preservation of Coastal Bio-Resource, Engineering Research Center for Marine Bivalves, Chinese Academy of Fishery Sciences, Wenzhou 325005, China,Zhejiang Mariculture Research Institute, Zhejiang Key Laboratory of Exploitation and Preservation of Coastal Bio-Resource, Engineering Research Center for Marine Bivalves, Chinese Academy of Fishery Sciences, Wenzhou 325005, China,Zhejiang Mariculture Research Institute, Zhejiang Key Laboratory of Exploitation and Preservation of Coastal Bio-Resource, Engineering Research Center for Marine Bivalves, Chinese Academy of Fishery Sciences, Wenzhou 325005, China and Zhejiang Mariculture Research Institute, Zhejiang Key Laboratory of Exploitation and Preservation of Coastal Bio-Resource, Engineering Research Center for Marine Bivalves, Chinese Academy of Fishery Sciences, Wenzhou 325005, China
Abstract:This study was conducted to investigate the relationship between the morphological characters and the body weight of Cyclina sinensis for the same mixed family using 220 individuals from each group aged 5, 10, and 15 months that were randomly selected to measure the shell length (SL), shell height (SH), shell width (SW), and body weight (W). Correlation analysis, path analysis, and determinant coefficient analysis were conducted to explore the effect of the phenotypic characters on the qualitative traits. Results showed that the correlations between the qualitative characters and body weight reached extremely significant levels (P<0.01). Shell height exhibited the highest correlation coefficient with body weight at three different ages. Results of the path coefficient analysis showed that shell height exhibited the highest path coefficient at three different ages, followed by shell width and shell length. Results of the determinant coefficient analysis revealed that the total coefficients of determinants of shell height and shell width were highest at 5 and 15 months of age (0.269 and 0.262, respectively), and the coefficient of determinants of shell height was highest at 10 months of age (0.338). The multiple regression equations pertaining to the quantitative characters and body weight (W) of C. sinensis were established for the three different ages as follows:W5=-0.564+0.061SH+0.051SW, R2=0.933; W10=-2.585+0.040SL+0.149SH+0.101SW, R2=0.934; and W15=-7.359+0.123SL+0.210SH+0.273SW, R2=0.957. This study provides a theoretical basis for selecting the best new strain and for the selection or breeding of good seeds of C. sinensis.
Keywords:Cyclina sinensis  morphological traits  body weight  path analysis
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