检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]铜仁学院生物与农林工程学院,铜仁554300 [2]贵州省教育厅生物资源开发与生态修复重点实验室,毕节551700 [3]贵州工程应用技术学院生态工程学院,毕节551700
出 处:《动物学杂志》2015年第4期547-554,共8页Chinese Journal of Zoology
基 金:贵州省教育厅自然科学重点项目(黔教科2006219);贵州省农业科技攻关项目(黔科合NY字[2008]3)
摘 要:通过聚类分析、判别分析和主成分分析3种多元分析方法,对乌江总溪河89尾四川裂腹鱼(Schizothorax kozlovi)和岷江青衣江33尾重口裂腹鱼(S.davidi)的10个常规可量性状与20个框架性状进行了比较研究。聚类分析结果显示,3次采集的四川裂腹鱼聚为一支,而重口裂腹鱼单独为一支;主成分分析结果显示,提取的8个主成分对总方差的累计贡献率为73.762%,贡献率大的性状集中在吻端和躯干后侧;通过两次判别分析,最终建立四川裂腹鱼和重口裂腹鱼两个判别方程,综合判别率为100%。研究结果显示,四川裂腹鱼和重口裂腹鱼是独立的两个种,在形态上的主要差异体现在吻端和躯干后侧,运用多元分析方法能有效地将其区分开来,而3次采样的四川裂腹鱼为同一种群。The interspecific and intraspecific morphological variations of 89 specimens of Kozlov's schizothoracin(Schizothorax kozlovi) collected from Wujiang River and 33 specimens of David's schizothoracin(S. davidi) from Minjiang River were analyzed by three multivariate analysis methods based on 10 traditional morphological parameters and 20 truss network features. The methods of hierarchical cluster analysis consisted of euclidean distance and between-groups linkage, and the plots of dendrogram showed highest similarity of S. kozlovi from three collections and contrasted with the lowest of S. davidi(Fig. 2). In principal component analysis of covariance matrix, 8 principal components were extracted with the cumulative contribution rate of the total variance of 72.762%, and the most contributions of characters were focused on snout and posterior torso(Table 3). Based on two steps of discriminant analysis by Fisher's function Coefficients, 122 specimens were finally divided into two groups and the total discriminant accuracy reached 100%(Fig. 4). All results suggested that two fishes were significantly different from each other, and the distinct differences were snout and posterior torso. The samples of S. kozlovi collected in three years were from the same population, and S. kozlovi and S. davidi could be identified by the three multivariate analysis methods.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.145