雌核发育系黄姑鱼的形态性状对体质量的影响  

Correlation and Path Coefficient Analysis for Body Mass and Morphometric Traits of the Gynogentic Nibea albiflora

作　　者：刘阳阳 刘峰[2] 楼宝[2] 陈睿毅 徐冬冬[2] 詹炜[2] 王立改[2] LIU Yang-yang LIU Feng LOU Bao et al(Marine Science and Technology School of Zhejiang Ocean University, Zhoushan 316022 Marine and Fishery Research Institute of Zhejiang Ocean University, Marine Fisheries Research Institute of Zhejiang, Key Lab of Maricuhure and Enhancement of Zhejiang Province, Zhoushan 316021, China)

机构地区：[1]浙江海洋大学海洋科学与技术学院,浙江舟山316022 [2]浙江海洋大学海洋与渔业研究所,浙江省海洋水产研究所,浙江省海水增养殖重点实验室,浙江丹山316021

出　　处：《浙江海洋学院学报（自然科学版）》2016年第6期458-463,共6页Journal of Zhejiang Ocean University(Natural Science Edition)

基　　金：浙江省科技计划项目(2016F50038);舟山市科技项目(2015C31010);浙江海洋学院博士启动基金项目(22135010715)

摘　　要：为了探究雌核发育黄姑鱼形态性状对体质量的影响,随机选取188尾6月龄左右雌核发育系黄姑鱼,分别测定形态性状,包括全长(X_1)、体长(X_2)、头长(X_3)、躯干长(X_4)、尾长(X_5)、尾柄长(X_6)、尾柄高(X_7)、体高(X_8)和体质量。进行形态性状与体质量之间的相关性分析、回归分析和通径分析,计算相关系数、通径系数、决定系数及复相关指数。结果表明,黄姑鱼雌核发育群体各性状之间的相关性均达极显著水平(P<0.01),其中体长与体质量的相关系数最大,为0.897。通径分析得知,体高对体质量的直接影响最大(通径系数=0.335),可确定为影响体重的主要因素。决定系数分析结果和通径分析结果有相同的变化趋势。所选雌核发育黄姑鱼形态性状与体质量的总决定系数为R^2=0.90;通过多元回归分析建立了以全长、躯干长、头长、尾柄高、体高为自变量,体质量为因变量的回归方程:Y=-164.333+2.707*X_1+3.204*X_3+9.886*X_4+29.171*X_7+17.041*X_8。To understand the relationship between body weight and morphometric traits of Gynogemtic Nibea albiflora, body weight （Y, g） and other eight morphometric traits （cm）, e.g., total length （X1）, body length （X2）, head length （X3）, trunk length （X4）, tail length （X5）, tail handle length （X6）, tail handle height （XT）, and body height（X8） were correlated on 188 individuals of about 6-month-old Gynogemtic N. albiflora. The correlation coefficient, path coefficient, and decision coefficient were calculated in correlation analysis, multiple regression analysis, and path analysis, and the effect of each morphometric trait on body weight was analyzed. The results show that all the correlation coefficients achieved highly significant levels （P〈0.01）, in which, the correlation coefficient of body length and body weight was the highest. Path analysis showed that body height was the mostpredominant variable to affect body weight （0.335）, which was a key impact factor to body weight. The analysis results of determination coefficients showed the same trend as the result of path analysis. In which the total determination coefficient R2 was 0.90. In addition, we established a regression equation using morphological traits, including total length, trunk length, head length, tail handle height, body height as variables and body weight as dependent variable, which was Y=-164.333＋2.707＊X1＋3.204＊Xa＋9.886＊X4＋29.171＊Xv＋17.041＊Xs.

关 键 词：雌核发育黄姑鱼 通径分析 相关系数 形态性状 多元回归分析 

分 类 号：S917.4[农业科学—水产科学]