Cluster Analysis Using Quantitative, Qualitative and Molecular Traits for the Study of the Genetic Diversity in Pineapple Genotypes

被引：0

作者：

de Fatima Machado, C. ^{[1
]}

Souza, F. V. D. ^{[1
]}

Cabral, J. R. S. ^{[1
]}

da Silva Ledo, C. A. ^{[1
]}

de Matos, A. P. ^{[1
]}

Ritzinger, R. ^{[1
]}

机构：

[1] Embrapa Mandioca & Fruticultura Trop, BR-44380000 Cruz Das Almas, Bahia, Brazil

来源：

VII INTERNATIONAL PINEAPPLE SYMPOSIUM | 2011年 / 902卷

关键词：

Ananas spp; multivariate analysis; Gower algorithm; genetic distance; variability;

D O I：

暂无

中图分类号：

S3 [农学（农艺学）];

学科分类号：

0901 ;

摘要：

Cluster analysis using quantitative, qualitative and molecular variables is a useful tool in estimating genetic diversity between genotypes in germplasm collections. The objective of this study was to carry out a simultaneous analysis of quantitative, qualitative and molecular variables followed by clustering to study the genetic diversity between pineapple genotypes using the Gower algorithm. Eleven quantitative, five qualitative and forty three molecular characteristics in ninety pineapple genotypes were evaluated. The cophenetic correlation coefficient of the joint analysis was higher when compared with the individual analysis coefficients. Ten groups were observed which indicates higher variability among genotypes evaluated. The simultaneous analysis of the quantitative, qualitative and molecular variables was efficient in the expression of the genetic diversity between pineapple genotypes when compared to the individual analysis for each type of variable.

引用

页码：159 / 162

页数：4

共 13 条

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Sudre, Claudia P.
Leonardecz, Eduardo
Rodrigues, Rosana
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Moura, Maria da C. L.
Goncalves, Leandro S. A.
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[13] [No title captured]

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