文章摘要
李哲,敬庭森,李雨,陆安帅,周剑,罗辉,叶华.长吻鮠形态性状对体质量的影响.渔业科学进展,2021,42(4):98-105
长吻鮠形态性状对体质量的影响
Effects of morphological traits on the body mass of Leiocassis longirostris
投稿时间:2020-02-15  修订日期:2020-03-23
DOI:10.19663/j.issn2095-9869.20200215002
中文关键词: 长吻鮠  通径分析  多元回归  体质量  形态性状
英文关键词: Leiocassis longirostris  Path analysis  Multiple regression  Body mass  Morphological traits
基金项目:
作者单位
李哲 西南大学水产学院 重庆 402460 
敬庭森 西南大学水产学院 重庆 402460 
李雨 西南大学水产学院 重庆 402460 
陆安帅 西南大学水产学院 重庆 402460 
周剑 四川省水产研究所 四川 成都 611731 
罗辉 西南大学水产学院 重庆 402460 
叶华 西南大学水产学院 重庆 402460 
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中文摘要:
      为探究长吻鮠(Leiocassis longirostris)形态性状对体质量的影响,随机选取115尾14月龄的长吻鮠,测定其体质量(Y)、全长(X1)、体长(X2)、体高(X3)、体宽(X4)、头长(X5)、头高(X6)、头宽(X7)、吻长(X8)、尾柄长(X9)、尾柄高(X10)和躯干长(X11)共12个性状,进行相关分析、通径分析和多元回归分析。结果显示,11个形态性状与体质量的相关性均达到极显著水平(P<0.01);全长、头宽、体长、吻长和尾柄高5个性状的通径系数达到显著水平(P<0.05),其中,全长对体质量的直接作用最大;决定系数分析结果与通径分析结果一致,全长、头宽、尾柄高、体长和吻长的共同决定系数总和为0.911,说明这5个性状是影响长吻鮠体质量的主要因素;运用多元回归分析建立以体质量(Y)为因变量,全长(X1)、体长(X2)、头宽(X7)、吻长(X8)和尾柄高(X10)为自变量的线性回归方程:Y=–301.368+5.888X1+5.988X2+21.482X7+16.408X8+34.878X10。本研究可为长吻鮠生长相关性状选育提供理论依据,在长吻鮠优良个体选育中具有重要意义。
英文摘要:
      To explore the effects of morphological traits on the body mass of Leiocassis longirostris, 115 × 14-month-old samples were randomly selected. A total of 12 morphological traits including body mass, total length, standard length, body height, body width, head length, head height, head width, snout length, caudal peduncle length, caudal peduncle depth, and trunk length were measured and analyzed using correlation analysis, path analysis, and multiple regression analysis. The results showed that the correlation among these 12 morphological traits were all very significant (P<0.01). The path analysis results showed that there were five morphological traits, including total length, standard length, head width, snout length, and caudal peduncle depth that reached a significant level (P<0.05). Among these, total length had the greatest direct effect on body mass. The common determinant coefficient of total length, standard length, head width, snout length, and caudal peduncle depth was 0.911, which was consistent with the results of the path analysis, indicating that these five morphological traits were the main factors affecting the body mass of L. longirostris. The multiple regression analysis established a linear regression equation with body mass (Y) as the dependent variable and total length (X1), standard length (X2), head width (X7), snout length (X8), and caudal peduncle depth (X10) as the independent variables, which was presented as Y=‒301.368+5.888X1+5.988X2+21.482X7+16.408X8+34.878X10 The results of this study provide a theoretical basis for the breeding of growth-related traits of L. longirostris and is of great significance for the breeding of individuals of this species.
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