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机构地区:[1]中国水产科学研究院黄海水产研究所
出 处:《中国水产科学》2008年第5期779-786,共8页Journal of Fishery Sciences of China
基 金:国家科技支撑计划项目(2006BAD01A13);国家自然科学基金项目(40706052);青岛市科技计划项目(07-2-3-5-jch).
摘 要:随机选取第11代“黄海1号”5月龄中国明对虾(Fenneropenaeuschinensis)100尾和6月龄中国明对虾50尾,分别测量全长(X)、头胸甲长%)、第1~6腹节长(X3-X8)、尾节长(X9)、头胸甲宽(X10)、第1腹节宽(X11)、头胸甲高(X12)、第1腹节高(X13)、体长(X14)共14个形态学指标。采用相关分析和通径分析的方法,分别计算了这2种月龄对虾以形态性状为自变量对体质量(Y)的相关系数、通径系数和决定系数,进而对各性状的影响大小进行剖分。结果表明,5月龄和6月龄对虾的各形态性状与体质量的相关性均达到极显著(P〈0.01)或显著水平(P〈0.05)。5月龄对虾的体长、头胸甲长、头胸甲宽和第1腹节长的通径系数达到了显著的水平;决定系数分析结果表明,体长、全长和头胸甲长的决定程度最大。6月龄对虾的头胸甲长、头胸甲宽、头胸甲高、第6腹节长和第4腹节长的通径系数达到显著水平,其中第4腹节长对体质量的直接影响是反向的;决定系数分析结果与通径分析的变化趋势一致。经显著性分析,将偏回归系数显著的变量对体质量建立多元回归方程,5月龄和6月龄对虾形态学指标与体质量的回归方程分别为:Y=37.429+0.326X2+0.306X3+0.669X0+0.275X4和Y=-38.556+0.668X2-0.583X6+0.605X8+0.785X10+0.931X12两个方程的回归关系均达到了极显著水平(P〈0.01)。One hundred five-month-old Fenneropenaeus chinensis and 50 six-month-old F. chinensis were randomly sampled for measuring 14 morphometric traits including total length(X1), carapace length (X2), the first-sixth abdominal segment length (X3-X8) , tail length (X9), carapace width (X10), carapace height (X12), the first abdominal segment width (X11), the first abdominal segment height (X13) and body length (X14). By correlation and path analysis, the results show that the correlation coefficients of each morphological trait to body weight are all at significant (P〈0.05) or extremely significant level (P〈0.01). The path coefficients of body length, carapace length, carapace width and the first abdominal segment length of five-month-old F. chinensis to body weight all reach significant level (P〈0.05), and the determination coefficients of body length, total length and carapace length are very large. The path coefficients of carapace length, carapace width, carapace height, the sixth abdominal segment length and the fourth abdominal segment length of six-month-old Echinensis to body weight all reach significant level (P〈0.05), but the direct effect of the fourth abdominal segment length to body weight is negative. The diversification of determination coefficients analysis is consistent with that of path. The morphometric traits which reach level of significance (P〈0.05) are used to establish the multiple regression equations, which are Y=-37.429+0.326X2+0.306 X3+0.669 X10+0.275 X14 in 5-month-old F.chinensis and Y=-38.556+0.668 X2-0.583 X6+0.605 X8+0.785 X10+0.931 X12 in 6-month-old Echinensis, respectively.
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