摘要
[目的]为唇的选育工作提供参考。[方法]测量了31尾2龄唇的全长(X1)、体长(X2)、体高(X3)、头长(X4)、吻长(X5)、眼径(X6)、眼后头长(X7)、尾柄长(X8)、尾柄高(X9)、头高(X10)和体质量(Y)等11个形态学指标。运用相关分析、通径分析和回归分析的方法,确定影响2龄唇体质量的主要形态性状,并建立了估计体质量的最优回归方程。[结果]全长(X1)和体长(X2)是影响体质量(Y)的主要形态性状,其通径系数分别为-0.432 9和1.322 1,体长(X2)与体质量(Y)的相关系数最大(0.859 7);建立了体质量(Y)与全长(X1)和体长(X2)关系的回归方程:Y=-24.866 9-1.394 5X1+5.608 1X2。[结论]该回归方程可用于唇的种苗选育。
[ Objective ] The research aimed to provide references for the breeding of Hemibarbus labeo. [ Method ] 11 morphological characters of31 two-year-old Hemibarbus labeo were measured, including total length （ X1 ） , body length （ X2 ）, body height （ X3 ） , head length （ X4 ）, snoutlength（X5 ）,eye diameter（X6 ）,head length behind eye（X7 ）, caudal peduncle length （Xa ）,caudal peduncle depth （X9 ）,head depth（ X10 ） andbody weight （Y）. Using correlation analysis, path analysis and regression analysis, main morphological characters that influenced the body weight oftwo-year-old H. labeo were confirmed. And the optimum regression equation for estimating the body weight was established. [ Result ] The totallength（X1 ） and body length （X2 ） were main morphological characters that influenced the body weight, and their path coefficients were -0.432 9and 1. 322 1 respectively. The correlation coefficient between body length （X1） and body weight （Y） was the maximum （0. 8597 ）. The multiple re-gression equation between body weight （Y） and total length（X1 ） and body length （X2 ） was established as Y = - 24. 866 9 - 1. 394 5X1 ＋ 5.608 1X2. [ Conclusion] The multiple regression equation could be used for the seedling breeding of H. labeo.
出处
《安徽农业科学》
CAS
2015年第20期110-111,138,共3页
Journal of Anhui Agricultural Sciences
基金
辽宁省科技攻关计划项目(2008203001)
关键词
唇
形态性状
相关分析
通径分析
多元回归方程
Hemibarbus labeo
Morphological characters
Correlation analysis
Path analysis
Multiple regression equation
