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引用本文:来守敏,王仁杰,姜令绪,秦浩,李玉全.逐步线性回归法实现中华虎头蟹(Orithyia sinica) 形态指标与体重的通径分析.海洋与湖沼,2015,46(6):1438-1443.
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逐步线性回归法实现中华虎头蟹(Orithyia sinica) 形态指标与体重的通径分析
来守敏, 王仁杰, 姜令绪, 秦浩, 李玉全
青岛农业大学海洋科学与工程学院 青岛 266109
摘要:
为探讨中华虎头蟹(Orithyia sinica)形态指标与体重的关系, 为良种选育提供最佳的测量指 标, 实验以中华虎头蟹为材料, 测量甲宽、甲长、眼间距、侧齿间距、大螯不动指长、大螯宽、步足 长节长、体高、体重等26 个指标, 借助逐步线性回归、相关分析和通径分析等方法, 分析形态指标 与体重的关系。结果表明, 除第Ⅳ侧齿间距(A8)外, 实验所测形态指标与体重的相关系数均达到了显 著水平(P<0.05); 采用逐步线性回归的方法建立了多元回归方程Y=-273.841+10.4X1+2.867X2, 其中 Y 为体重(g), X1 为右大螯宽(mm), X2 为第Ⅱ侧齿间距(mm), 定量分析了形态指标对体重的影响结果。
关键词:  中华虎头蟹  形态指标  通径分析  逐步回归
DOI:10.11693/hyhz20150400117
分类号:
基金项目:山东省现代农业产业技术体系虾蟹类创新团队项目, SDAIT-15-011 号; 青岛市科技计划基础研究项目, 14-2-4-87-jch 号; 国家自然科学基金项目, 31101916 号。
附件
PATH ANALYSIS BETWEEN MORPHOLOGICAL CHARACTERS AND BODY WEIGHT OF CHINESE TIGER-HEAD CRAB ORITHYIA SINICA BY MULTIPLE REGRESSION
LAI Shou-Min, WANG Ren-Jie, JIANG Ling-Xu, QIN Han, LI Yu-Quan
College of Marine Science & Engineering, Qingdao Agricultural University, Qingdao 266109, China
Abstract:
To analyze the effects of morphometric characters on body weight of Chinese tiger-head crab Orithyia sinica, 40 crabs from coast off Jimo, Shandong Peninsular were used for study. Twenty-five morphometric characters, including carapace width, carapace length, space between eyes, body high, etc, and body weight were measured. The correlation coefficients and path coefficients among the characters were calculated. The relationship between morphometric characters and body weight were analyzed by multiple regression, correlation analysis, and path analysis. The results show that the correlation coefficients between morphometric character and the weight achieved significant difference levels (P<0.05), except for the fourth lateral tooth spacing. The multiple regression equation of right chela width (X1) and second lateral tooth spacing (X2) to the body weight was built to estimate body weight (Y), Y=-273.841+10.4X1+2.867X2. This study shall provide a theoretical method to measure O. sinica for breeding and aquaculture purposes.
Key words:  Orithyia sinica  morphometric character  path analysis  multiple regression
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