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许氏平鲉不同月龄选育群体形态性状的主成分与通径分析
引用本文:韩慧宗,姜海滨,王斐,马海涛,韩承慧,刘相全,杨建敏.许氏平鲉不同月龄选育群体形态性状的主成分与通径分析[J].水产学报,2016,40(8):1163-1172.
作者姓名:韩慧宗  姜海滨  王斐  马海涛  韩承慧  刘相全  杨建敏
作者单位:1. 山东省海洋资源与环境研究院,山东省海洋生态修复资源重点实验室,山东烟台264006;2. 中国科学院南海海洋研究所,广东广州,510301;3. 上海海洋大学水产与生命学院,上海,201306
基金项目:国家现代农业产业技术体系专项(CARS-50-Z09);山东省良种工程项目(2014-2017);烟台市科技发展计划(2013ZH088);泰山学者岗位专项
摘    要:为研究许氏平鲉不同月龄选育群体性状的生长规律特征及形态性状对体质量的影响,采用相关分析、主成分分析、通径分析和多元回归分析方法对12月龄、15月龄和18月龄许氏平鲉个体的全长、体长、头长、躯干长、体高、尾柄长、尾柄高和体质量8个性状进行分析。结果显示,各月龄许氏平鲉性状之间均呈现显著的正相关,其中以全长与体长的相关性最为显著。各月龄许氏平鲉的第一主成分均指向增长、增重因子;第二主成分有所不同,12月龄未提取第二主成分,15月龄和18月龄第二主成分分别指向躯干因子、尾柄因子。12月龄和15月龄许氏平鲉体长和体高对体质量的直接作用均最大(0.340、0.314和0.347、0.324),18月龄全长对体质量的直接作用最大(0.498),各性状对体质量决定程度与通径系数变化趋势一致。各月龄的不同形态性状对体质量最优回归方程的建立,能准确预测体质量的变化。研究表明,由于许氏平鲉生长阶段的不同,各性状的生长速率及所选形态性状对体质量的影响均存在一定差异,建议把体长和体高(12~15月龄)、全长(18月龄)作为育种工作的目标性状,达到有效提高选育效率的目的,为许氏平鲉的选育工作提供理论依据和技术参数。

关 键 词:许氏平鲉  选育群体  形态性状  主成分分析  通径分析  多元回归方程
收稿时间:2015/6/10 0:00:00
修稿时间:2016/4/27 0:00:00

Principal component and path analysis of morphological traits of selective groups at different month ages of Sebastes schlegeli
HAN Huizong,JIANG Haibin,WANG Fei,MA Haitao,HAN Chenghui,LIU Xiangquan and YANG Jianmin.Principal component and path analysis of morphological traits of selective groups at different month ages of Sebastes schlegeli[J].Journal of Fisheries of China,2016,40(8):1163-1172.
Authors:HAN Huizong  JIANG Haibin  WANG Fei  MA Haitao  HAN Chenghui  LIU Xiangquan and YANG Jianmin
Institution:Key Laboratory of Marine Ecological Restoration, Shandong Marine Resources and Environment Research Institute, Yantai 264006, China,Key Laboratory of Marine Ecological Restoration, Shandong Marine Resources and Environment Research Institute, Yantai 264006, China,Key Laboratory of Marine Ecological Restoration, Shandong Marine Resources and Environment Research Institute, Yantai 264006, China,South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China,College of Fisheries and Life Science, Shanghai Ocean University, Shanghai 201306, China,Key Laboratory of Marine Ecological Restoration, Shandong Marine Resources and Environment Research Institute, Yantai 264006, China and Key Laboratory of Marine Ecological Restoration, Shandong Marine Resources and Environment Research Institute, Yantai 264006, China
Abstract:In order to research growth characteristics and the effect of morphological traits on body weight of selective groups of Sebastes schlegeli at different month ages, this thesis analyzed the data of body weight, full length, body length, head length, trunk length, body depth, caudal peduncle length and caudal peduncle depth at different month ages, by the methods of principal component, correlation analysis, path analysis and multiple regression analysis. The results showed that notable correlation was found among all the morphological traits of S. schlegeli at different ages, especially between full length and body length. The first principal component always reflects the length and body weight factor of S. schlegeli at different growth phases. However, the second principal component was different and reflected the trunk length factor at 15-month-old and the caudal peduncle factor at 18-month-old, but was not available at 12-month-old. The traits with strongest direct effect on body weight were body length and body depth (0.340, 0.314 and 0.347, 0.324) at 12-month-old and 15-month-old, meanwhile, the full body and body depth (0.498) at 18-month-old. The result of determinant coefficient analysis was consistent with that of path analysis. The growth rate of traits and effect on weight selected traits were not the same because of the different growth stages of S. schlegeli. We proposed that the body length and body depth were the target traits for selective breeding of S. schlegeli at 12-month-old and 15-month-old, We should pay attention to selecting full length at 18-month-age to improve the accuracy of breeding projects. The research provided theoretical evidence and technical parameters for selective breeding of S. schlegeli.
Keywords:Sebastes schlegeli  cultured populations  morphological trait  principal component  path analysis  multiple regression equation
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