| 形态性状对长鳍吻鮈体质量的影响效果分析 |
| |
| 引用本文： | 管敏,胡美洪,郭柏福,曲焕韬.形态性状对长鳍吻鮈体质量的影响效果分析[J].安徽农业科学,2016,44(13):173-176. |
| |
| 作者姓名： | 管敏 胡美洪 郭柏福 曲焕韬 |
| |
| 作者单位： | 三峡工程鱼类资源保护湖北省重点实验室，中国长江三峡集团公司中华鲟研究所，湖北宜昌443100;三峡工程鱼类资源保护湖北省重点实验室，中国长江三峡集团公司中华鲟研究所，湖北宜昌443100;三峡工程鱼类资源保护湖北省重点实验室，中国长江三峡集团公司中华鲟研究所，湖北宜昌443100;三峡工程鱼类资源保护湖北省重点实验室，中国长江三峡集团公司中华鲟研究所，湖北宜昌443100 |
| |
| 基金项目： | 中国长江三峡集团公司资助项目。 |
| |
| 摘 要： | 目的]分析形态性状对长鳍吻鮈体质量的影响效果,为长鳍吻鮈的人工选育工作提供理论指导。方法]随机选取120尾驯养的野生长鳍吻鮈,分别测量其体质量(Y)、全长(X1)、体长(X2)、体高(X3)、体宽(X4)、头长(X5)、头宽(X6)、头高(X7)、吻长(X8)、叉长( X9)、眼径( X10)、眼间距( X11)、尾柄长( X12)、尾柄高( X13)、尾鳍长( X14)、眼后头长( X15)共16个性状指标。采用相关分析、通径分析、复相关分析和多元回归分析方法,分别计算了长鳍吻鮈形态性状对体质量的相关系数、通径系数、复相关系数和决定系数,对各形态性状对体质量的影响大小进行剖分,确定了影响长鳍吻鮈体质量的主要外部形态性状。结果]各形态性状与体质量的相关性均达到极显著水平(P<0.01),但仅全长、头长、头高、眼径、眼后头长对体质量的通径系数达到显著水平(P<0.05),且复相关系数为0.976,是影响体质量的主要性状,其中全长对体质量的直接作用最大(0.663)；决定系数分析结果与通径分析结果的变化趋势一致,即全长、头长、头高、眼径、眼后头长的决定系数较大,其中全长对体质量的决定系数(0.440)最大,其他4个性状主要通过全长影响体质量；应用逐步多元回归分析,经过偏回归系数的显著性检验,建立以体质量的因变量(Y),以全长(X1)、头长(X5)、头高(X7)、眼径(X10)和眼后头长( X15)为自变量的多元回归方程：Y=-30.650+2.534 X1+2.012 X5+2.019 X7+8.716 X10+4.120 X15,经回归预测结果显示估计值与实际值间的差异不显著(P>0.05)。结论]该方程可用于长鳍吻鮈实际生产中,为长鳍吻鮈选中提供理论依据和测量指标。
|
| 关 键 词： | 长鳍吻鮈 形态性状 体质量 相关分析 通径分析 多元回归分析 |
Analysis on Effects of Rhinogobio ventralis Morphometric Traits on Body Weight |
| |
| Abstract: | Objective] The effects of Rhinogobio ventralis morphometric traits on body weight were analyzed, which will provide theoretical guidance for the artificial breeding of Rhinogobio ventralis. Method] 120 domesticated wild Rhinogobio ventralis were randomly selected, 16 traits including body weight( Y) , total length ( X1 ) , standard length ( X2 ) , body depth ( X3 ) , body width ( X4 ) , head length ( X5 ) , head width ( X6 ) , head depth ( X7 ) , snout length ( X8 ) , fork length ( X9 ) , eye diameter ( X10 ) , interorbital distance ( X11 ) , caudal peduncle length ( X12 ) , caudal peduncle depth ( X13 ) , caudal fin length ( X14 ) , length of the head behind the eye ( X15 ) were measured. The correla-tion, path coefficients, multiple correlation coefficient and determination coefficient between morphometric traits and body weight were calcu-lated by correlation analysis, path analysis, multiple correlation analysis and multiple regression analysis. Result] The correlationship be-tween independent variables (morphometric trait ) and dependent variable ( body weight ) were all at extremely significant level (P<0. 01). The path coefficients of total length, head length, head depth, eye diameter and length of the head behind the eye was at significant level (P<0. 05), and the multiple correlation coefficients was 0. 976. They were key impact factors to body weight. Among them total length was the most predominant variable to affect body weight (0. 663). The result of determinant coefficents analysis was consistent with that of path a-nalysis. It revealed that the determinant coefficients of total length, head length, head depth, eye diameter and length of head behind the eye were very large, among which total length had a predominant determinative effect (0. 440). Whereas head length, head depth, eye diameter and length of head behind the eye exhibited a slight direct effect and significant indirect effect on body weight via total length. The morphomet-ric attrbutes total length ( X1 ) , head length ( X5 ) , head depth ( X7 ) , eye diameter ( X10 ) and length of head behind the eye ( X15 ) were used to establish the multiple regression equations as Y= -30. 650+2. 534 X1 +2. 012 X5 +2. 019 X7 +8. 716 X10 +4. 120 X15 . The regression re-sults showed that there was no significant difference between estimated value and actual value(P>0. 05). Conclusion] The equation can be used in actual production of Rhinogobio ventralis, provide theoretical basis and measurement indicators for breeding of Rhinogobio ventralis. |
| |
| Keywords: | Rhinogobio ventralis Morphometric traits Body weight Correlation analysis Path analysis Multiple regression analysis |
| 本文献已被 万方数据 等数据库收录！ |
|
