G7代二龄泥蚶生长性状的相关性和通径分析-《集美大学学报（自然科学版）》

文章信息/Info

Title:: Correlation and Path Analysis of Growth Traits of Tegillarca granosa After 7 Generations of Breeding

作者:: 何俊1; 2; 3; 蓝天一3; 刘颖3; 李宗涵1; 2; 3; 方军3; 柴雪良3; 王志勇1; 2; 任鹏3; (1.集美大学水产学院，福建厦门 361021;2.农业农村部东海海水健康养殖重点实验室，福建厦门 321021；3.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，温州市海洋生物遗传育种重点实验室，浙江温州 325005)

Author(s):: HE Jun1; 2; 3; LAN Tianyi3; LIU Ying3; LI Zonghan1; 2; 3; FANG Jun3; CHAI Xueliang3; WANG Zhiyong1; 2; REN Peng3; (1.Fishies College,Jimei University,Xiamen 361021,China;2.Key Laboratory of Healthy Mariculture for the East China Sea,Ministry of Agriculture and Rural Affairs,Xiamen 361021,China;3.Zhejiang Mariculture Research Institute & Zhejiang Key Lab of Exploitation and Preservation of Coastal BioResource (Wenzhou) & Wenzhou Key Laboratory of Marine Genetics and Breeding,Wenzhou 325005,China)

Keywords:: Tegillarca granosa; “Yueqing Bay # 1”; growth traits; correlation analysis; path analysis

摘要:: 为了探讨连续选育多代以后泥蚶形态性状对全重和软体部重的影响，采用相关分析、通径分析对330个2龄“乐清湾1号”泥蚶的壳长L、壳高H、壳宽W、全重Y1和软体部重Y2等5个性状指标进行分析，并建立形态性状对全重、软体部重的最优回归方程。结果显示：1）所测5个数量性状之间的相关系数均达到极显著水平（P＜0.01），壳宽与全重的相关系数最大（0.952），壳长与软体部重的相关系数最大（0.928）。2）通径分析结果显示，壳宽对全重的直接影响最大（0.479），是影响全重的主要因素；壳长和壳高主要通过壳宽间接影响全重，是影响全重的次要因素；对软体部重的直接影响最大的是壳长（0.415），其次是壳宽（0.390），两者是影响软体部重的主要因素。3）用多元回归分析方法建立壳长、壳高、壳宽估计全重和软体部重的最优回归方程：Y1=-18.798+0.265L+0.294H+0.646W;Y2=-7.194+0.143L+0.088H+0.203W。

Abstract:: In order to study the relationship between morphological traits and weight traits of Tegillarca granosa after selection of seven generations,the shell length （L）,shell height （H）,shell width （W）,body weight （Y1） and softtissue weight （Y2） of 330 twoyearold T.granosa were measured.With the morphological traits (L,H and W) used as independent variables,the weight traits (Y1 and Y2) as dependent variables,the path coefficients and determinant coefficient were calculated using correlation analysis and path analysis,and the multiple regression equations of morphological traits on Y1 and Y2 was established.The results showed that:1) There were extremely significant correlations among the five measured traits (P＜0.01),the correlation coefficient between W and Y1 was the largest;the correlation coefficient between L and Y2 was the largest.2) Path analysis results showed that W had the greatest direct impact on the Y1 (0.479),which was the main factor affecting Y1;L and H mainly affected Y1 indirectly through W,which were the secondary factors affecting Y1;L had the greatest direct impact on Y2 (0.415),the second was W (0.390),both of them mainly affected Y1.3)The multiple regression equations were obtained to estimate Y1 and Y2 as:Y1=-18.798+0.265L+0.294H+0.646W;Y2=-7.194+0.143L+0.088H+0.203W.The above results provided basic data for the further development of the breeding of “Yueqing Bay # 1” of T.granosa.