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贵州境内3个野生大眼鳜群体的形态差异

陈薛伟杰 郭健康 杨志 曹恒源 安苗

中国水产科学2018,Vol.25Issue(1):34-43,10.
中国水产科学2018,Vol.25Issue(1):34-43,10.DOI:10.3724/SP.J.1118.2018.17002

贵州境内3个野生大眼鳜群体的形态差异

Morphological differences among three wild populations of Siniperca kneri sampled from Guizhou Province

陈薛伟杰 1郭健康 2杨志 3曹恒源 2安苗1

作者信息

  • 1. 贵州大学 动物科学学院,贵州 贵阳 550025
  • 2. 水利部水工程生态效应与生态修复重点实验室,水利部中国科学院水工程生态研究所,湖北 武汉 430079
  • 3. 修文县农业局 贵州 贵阳 550200
  • 折叠

摘要

Abstract

To analyze the morphometric differentiation of wild Siniperca kneri between the population from the Yangtze River Basin and that from the Pearl River Basin,the variation in morphological characteristics of S.kneri among three populations from three different sampling sections (Yanhe section of the Wujiang River, Tongren sec-tion of the Jinjiang River in the Yangtze River Basin, and Guanling section of the Beipanjiang River in the Pearl River Basin) were assessed using multivariate analysis methods based on the measured morphological data and the truss network. The results showed that among the three populations, the eyes of the individuals from the Tongren section were the smallest, the body width from the Yanhe section was the thinnest, and the population from the Guanling section had the thickest body width, the shortest snout length, but the longest caudal peduncle length. After standardization and parameter selection for original data, the data for 12 selected characters were used to conduct principal component analysis. Two principal components were constructed, which resulted in a cumulative contributory ratio of 64.255%. Principal component 1 was mainly affected by characters, including body width, caudal peduncle shape, and distance between the eyes, whereas principal component 2 was mainly affected by the length of the snout and size of the eyes. A stepwise discriminant method was used to establish the characteristic discriminant functions of the three stocks, which revealed that the total accuracy rate of discrimination by the cross-validated method was 91.85%. The coefficients of differences for the 12 characters among the three stocks did not reach the threshold value of 1.28, although the subspecies could be clearly discriminated. In short, the morphometric differentiation between the two populations from the Yanhe section and Tongren section in the Yangtze River Basin were low, whereas the morphological differences were higher between these two populations and the population from the Guanling section sampled from the Pearl River Basin. Nevertheless, the morphologi-cal variation of the three populations shown in this study represented morphological variation from different geo-graphic populations of the same species, which had not reached the level of subspecies variation.

关键词

大眼鳜/多元分析/差异系数/种群鉴定

Key words

Siniperca kneri/multivariate analysis/coefficient of difference/population identification

分类

农业科技

引用本文复制引用

陈薛伟杰,郭健康,杨志,曹恒源,安苗..贵州境内3个野生大眼鳜群体的形态差异[J].中国水产科学,2018,25(1):34-43,10.

基金项目

国家自然科学基金项目(31660741). (31660741)

中国水产科学

OA北大核心CSCDCSTPCD

1005-8737

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