摘要
采用相关分析、通径分析和多元线性回归分析方法,研究了1龄和2龄洛氏鱥形态性状对体质量的影响,为其生长指标提供选择性状。结果表明:1龄组全长、体长、体高和尾柄高4个形态性状与体质量的相关系数分别为0.953、0.958、0.951和0.948,且均达到极显著水平(P<0.01),4个形态性状对体质量的通径系数也达到极显著水平(P<0.01),对体质量的决定程度由大到小依次为体长>全长>体高>尾柄高,4个性状与体质量的相关指数高达0.954,说明所选性状是影响体质量的主要形态性状,拟合方程为Y=-12.375+2.255X2+4.683X3+4.722X8-1.162X1;2龄组经过剔除保留了体长和体高,它们与体质量的相关系数分别为0.939和0.846(P<0.01),2个形态性状对体质量的通径系数也达到极显著水平(P<0.01),对体质量的决定程度为体长>体高,2个性状与体质量的相关指数高达0.912,说明体长和体高是影响体质量的主要形态性状,拟合方程为Y=-188.444+11.416X2+16.304X3。
By using correlation analysis, path analysis, and multiple linear regression method, this paper studied the effects of the morphological traits of 1 and 2 years old Phoxinus lagowskii Dybowski individuals on their body mass, aimed to provide reference for selecting the indicators of P. lagowskii growth. For the 1 year old P. lagowskii individuals, the correlation coefficients of body mass with total length, body length, body height, and caudal peduncle depth were 0.953, 0. 958, 0. 951, and 0.948, respectively （P〈0.01） , and the path coefficients also reached very significant level （P〈0.01）. The strongest determinant on body mass was body length, followed by total length, body height, and caudal peduncle depth. The high correlation index of the four morphological traits and the body mass （0.954） suggested that the selected traits were the main morphological traits affecting the body mass. The related multiple regression equation was Y = -12. 375＋2. 255X2＋4. 683X3＋4. 722X8-1. 162X1 , where Y is body weight, and the X1 , Xz, X3 and X8 are total length, body length, body height, and caudal peduncle depth, respectively. For the 2 years old P. lagowskii individuals, total length and caudal peduncle depth were the inde- pendent variables that significantly affected body mass, with the correlation coefficient being 0. 939 and 0. 846, respectively （P〈0.01）. The path coefficients also reached very significant level （P〈0.01）. The strongest determinant on body mass was body length, followed by body height. Judged from the high correlation index （0. 912 ）, these two morphological traits affected the body mass significantly. The related multiple regression equation was Y = -188. 444 ＋ 11. 416X2＋16. 304X3.
出处
《生态学杂志》
CAS
CSCD
北大核心
2013年第11期3063-3068,共6页
Chinese Journal of Ecology
基金
国家科技支撑计划项目(2012BAD25B10)
公益性行业科研专项(201003055)资助
关键词
洛氏鱥
形态性状
体质量
通径分析
多元回归
Phoxinus lagowskii Dybowskii
morphological trait
body mass
path analysis
mul-tiple regression.
