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中国农学通报 ›› 2021, Vol. 37 ›› Issue (5): 117-123.doi: 10.11924/j.issn.1000-6850.casb20200300279

• 水产·渔业 • 上一篇    下一篇

中国圆田螺与中华圆田螺形态比较研究

黄家锐1(), 但小琴1, 文衍红2, 罗福广2, 黄杰2, 王卫民1()   

  1. 1华中农业大学水产学院,动物遗传育种与繁殖重点实验室,武汉 430070
    2柳州市渔业技术推广站,广西柳州 545006
  • 收稿日期:2020-03-28 修回日期:2020-10-20 出版日期:2021-02-15 发布日期:2021-02-25
  • 通讯作者: 王卫民
  • 作者简介:黄家锐,男,1999年出生,广西钦州人,硕士,研究方向:鱼类遗传育种。通信地址:430070 湖北武汉洪山区华中农业大学水产学院, E-mail: 17878766339@163.com
  • 基金资助:
    柳州市财政资金支持项目“螺蛳养殖产业技术研发与技术培训”(LZT18-201)

Comparative Studies on the Morphology Between Cipangopalndina chinensis and Cipangopalndina cathayensis

Huang Jiarui1(), Dan Xiaoqin1, Wen Yanhong2, Luo Fuguang2, Huang Jie2, Wang Weimin1()   

  1. 1College of Fisheries, Key Lab of Freshwater Animal Breeding, Ministry of Agriculture, Huazhong Agricultural University, Wuhan 430070
    2Liuzhou Aquaculture and Fisheries Technique Extending Station, Liuzhou Guangxi 545006
  • Received:2020-03-28 Revised:2020-10-20 Online:2021-02-15 Published:2021-02-25
  • Contact: Wang Weimin

摘要:

为研究中国圆田螺(Cipangopaludina chinensis)和中华圆田螺(Cipangopalndina cathayensis)两者之间的形态差异。通过单因子方差分析、主成分分析、聚类分析和判别分析对185个中国圆田螺和中华圆田螺个体的11个可量性状及23项性状参数进行了比较研究。单因子方差分析的结果显示,中国圆田螺和中华圆田螺的形态学差异显著(P<0.05);主成分分析构建了6个主成分,其贡献率分别为37.278%、17.038%、11.606%、11.606%、9.912%、7.471%、6.228%,累计贡献率为89.533%;利用主成分1和主成分2构建的散点图中,中国圆田螺和中华圆田螺的个体差异明显,主要集中在螺旋部和形体轮廓特征方面,与聚类分析的结果一致。利用逐步判别方法从23项形态比例参数中筛选出体高/体宽和螺旋部宽/体宽两个性状,建立中国圆田螺(Y)和中华圆田螺(Z)判别函数:Y=-609.11+1067.27X1+528.48X2,Z=-673+1084.59X1+579.95X2,将数据代回函数中进行检验可得综合判别准确率为95.15 %,表明可以有效地将两者加以区分。上述差异性状和判别函数可为中国圆田螺和中华圆田螺后期的遗传育种工作及鉴定提供基础数据资料。

关键词: 中国圆田螺, 中华圆田螺, 形态比较, 多元分析

Abstract:

To study the morphological differences between Cipangopaludina chinensis Gray and Cipangopalndina cathayensis, 11 characteristic indexes and 23 trait parameters of 185 specimens were analyzed by one-way analysis of variance, principal component analysis, cluster analysis and discriminant analysis. The results of one-way ANOVA showed that the morphological differences between the two species were significant (P< 0.05). Six principal components were constructed by principal component analysis, and their contribution rates were 37.278%, 17.038%, 11.606%, 11.606%, 9.912%, 7.471% and 6.228%, respectively. The cumulative contribution rate of them was 89.533%. In the scatter plot constructed by principal component 1 and principal component 2, the specimens’ differences between the two species were obvious, which mainly focused on the characteristics of the spiral part and the contour of the body, and were consistent with the results of cluster analysis. Two characteristic of body height / body width and helix width/ body width were selected from 23 morphological proportion parameters by stepwise discriminant method. Two discriminant functions were established: Y = -609.11+1067.27X1 + 528.48X2, Z = -673+1084.59X1+579.95X2. By testing the data back to the function, the comprehensive discriminant rate could reach 95.15%, indicating that the two species can be effectively distinguished. These differences and discriminant functions can provide foundation data for the genetic breeding and identification of Cipangopaludina chinensis and Cipangopalndina cathayensis.

Key words: Cipangopaludina chinensis, Cipangopalndina cathayensis, morphological comparison, multivariate analysis

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