鹅头红金鱼三个养殖群体形态差异的多元统计分析

    Multivariate statistical analysis of morphological differences in three cultured populations of goosehead red goldfish (Carassius auratus)

    • 摘要:
      背景 鹅头红金鱼(Carassius auratus)是北京宫廷金鱼的典型代表,长期人工选育与地域化养殖可能导致不同群体间产生形态分化,但目前尚缺乏系统的形态比较研究。
      目的 本研究旨在量化鹅头红金鱼3个养殖群体(以下简称3个群体)的形态差异,筛选关键鉴别性状,并构建有效的群体判别模型。
      方法 以来自3个主要养殖场的90尾鹅头红金鱼个体为研究对象,测量10项形态性状(体长、体宽、体高、头长、吻长、眼径、眼间距、尾长、尾柄长、尾柄高)。采用单因素方差分析、主成分分析、聚类分析和逐步判别分析等多元统计方法进行3个群体形态差异的综合分析。
      结果 3个群体在体宽/体长、吻长/体长、尾柄长/体长等多项形态性状上存在显著差异(P<0.05)。通过主成分分析提取的前2个主成分累计方差贡献率达72.57%,主要反映体型、头部和尾部特征。聚类分析结果显示,3个群体的欧氏距离相近,整体处于同一相似水平。逐步判别分析筛选出6个关键性状(体高/体长、体宽/体长、吻长/体长、眼径/体长、尾柄长/体长、尾柄高/体长),建立的Fisher判别函数对3个群体的综合判别准确率高达85.60%。
      结论 鹅头红金鱼不同养殖群体在人工选育作用下已形成显著且可量化的形态分化。本研究构建的判别函数具有较高的实用价值,可为鹅头红金鱼的种质资源鉴定、良种选育及市场溯源提供科学依据。

       

      Abstract:
      Background The goosehead red goldfish (Carassius auratus) is a typical representative of Beijing court goldfish. Long-term artificial selection and regionalized aquaculture may have led to morphological differentiation among different populations, but systematic morphological comparative studies are currently lacking.
      Objective This study aims to quantify the morphological differences among three cultured populations of goosehead red goldfish, screen key discriminant traits, and construct an effective population discrimination model.
      Methods A total of 90 individuals from three major aquaculture farms were used as research subjects, and ten morphological traits (body length, body width, body depth, head length, snout length, eye diameter, interorbital distance, tail length, caudal peduncle length, and caudal peduncle depth) were measured. Multivariate statistical methods including one-way ANOVA, principal component analysis, cluster analysis, and stepwise discriminant analysis were employed for comprehensive analysis of morphological differences in three cultured populations of C. auratus.
      Results The three cultured populations of C. auratus exhibited significant differences (P < 0.05) in several morphological traits, including body width/body length, snout length/body length, and caudal peduncle length/body length. The first two principal components extracted by principal component analysis accounted for 72.57% of the cumulative variance, primarily reflecting body shape, head, and tail characteristics. Cluster analysis results showed that the Euclidean distances among three cultured populations of C. auratus were similar, and they were generally at the same similarity level. Stepwise discriminant analysis screened six key traits (body depth/body length, body width/body length, snout length/body length, eye diameter/body length, caudal peduncle length/body length, caudal peduncle depth/body length), and the established Fisher’s discriminant function achieved an overall discriminant accuracy of 85.60% for three cultured populations of C. auratus.
      Conclusion Different cultured populations of C. auratus have developed significant and quantifiable morphological differentiation under artificial selection. The constructed discriminant function has high practical value and can provide a scientific basis for germplasm identification, selective breeding, and market traceability of C. auratus.

       

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