河南农业科学 ›› 2023, Vol. 52 ›› Issue (8): 126-134.DOI: 10.15933/j.cnki.1004-3268.2023.08.014

• 畜牧·兽医 • 上一篇    下一篇

2 月龄斑鳜形态性状与体质量的相关性研究

田田1,张风光2,王茂元1,黄洪贵1,秦志清1,赖铭勇1,刘银华1,黄柳婷1,吴妹英1   

  1. (1.福建省淡水水产研究所,福建 福州 350002;2.屏南县农业农村局水产技术推广站,福建 屏南 352300)
  • 收稿日期:2023-03-02 出版日期:2023-08-15 发布日期:2023-08-29
  • 作者简介:田田(1981-),女,山东泰安人,工程师,硕士,主要从事水产养殖研究。E-mail:qykn1212@126.com
  • 基金资助:
    国家现代农业产业技术体系项目(CARS-46);2022年福建省海洋与渔业结构调整专项(闽财指[2022]61号);福建省种业创新与产业化工程渔业项目(闽农综[2021]5号)

Correlation between Morphological Traits and Body Weight of 2‑month‑old Siniperca scherzeri

TIAN Tian1,ZHANG Fengguang2,WANG Maoyuan1,HUANG Honggui1,QIN Zhiqing1,LAI Mingyong1,LIU Yinhua1,HUANG Liuting1,WU Meiying1   

  1. (1.Freshwater Fisheries Research Institute of Fujian,Fuzhou 350002,China;2.Aquacultural Technique Extending Station of Agriculture and Rural Bureau in Pingnan,Pingnan 352300,China)
  • Received:2023-03-02 Published:2023-08-15 Online:2023-08-29

摘要: 为探析斑鳜(Siniperca scherzeri)早期形态性状与体质量的关系,随机选取同一批次2月龄斑鳜100尾,精确测量体质量(Y)及全长(X1)、体长(X2)、头长(X3)、吻长(X4)、体高(X5)、体宽(X6)、眼径(X7)、眼间距(X8)、尾柄长(X9)和尾柄高(X10)10个形态性状,运用相关分析、多元回归分析以及通径分析对数据进行处理,确定影响体质量的主要形态性状,构建最优线性回归方程,分析探讨各性状对体质量的影响作用。结果表明,2月龄斑鳜体质量的变异系数最大,具有最大选育潜力;各形态性状与体质量均呈极显著正相关(P<0.01),全长与体质量相关系数最大;应用逐步引入-剔除法构建全长、体高、吻长和眼径与体质量的多元线性回归方程Y=-11.578+0.093X1+0.550X5+0.263X4+0.490X7R2=0.968);通径分析显示,全长对体质量的直接作用最大(0.417),体高次之(0.307),吻长和眼径较小(0.168和0.146),4个形态性状对体质量的总决定系数为0.967。综上,以体质量作为2月龄斑鳜的选育目标时,全长、体高、吻长和眼径可作为重要的形态测量指标,其中全长和体高可作为首选形态性状。

关键词: 斑鳜, 形态性状, 体质量, 相关分析, 多元回归分析, 通径分析

Abstract: In order to explore the relationship between early morphological traits and body weight of Siniperca scherzeri,a total of 100 2‑month‑old individuals were randomly selected from the same batch to accurately measure body weight(Y)and 10 morphological traits including total length(X1),body length(X2),head length(X3),snout length(X4),body height(X5),body width(X6),eye diameter(X7),eye distance(X8),caudal peduncle length(X9)and caudal peduncle height(X10).The data were processed using correlation analysis,multiple regression analysis and path analysis to determine the main morphological traits affecting body weight,establish the optimal linear regression equation,and analyze the influence of each trait on body weight.The results showed that the variation coefficient of body weight of 2‑month‑old Siniperca scherzeri was the largest,indicating the greatest breeding potential;all morphological traits were positively correlated with body weight(P<0.01),and the correlation coefficient between total length and body weight was the largest;the optimal linear regression equation between body weight and four morphological traits including total length,body height,snout length and eye diameter was established by stepwise introduction‑elimination method:Y=-11.578+0.093X1+0.550X5+0.263X4+0.490X7R2=0.968);path analysis showed that total length had the largest direct effect on body weight(0.417),followed by body height(0.307),snout length and eye diameter were smaller(0.168 and 0.146),and the total determining coefficient of the four morphological traits on body weight was 0.967.In conclusion,when the body weight is taken as the breeding target of 2‑month‑old Siniperca scherzeri,total length,body height,snout length and eye diameter can be used as important morphological measurement indexes,among which total length and body height can be the preferred morphological traits.

Key words: Siniperca scherzeri, Morphological traits, Body weight, Correlation analysis, Multiple regression analysis, Path analysis

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