Genetic divergence in Eucalyptus spp. clones by molecular RAPD markers

The genetic divergence in 20 Eucalyptus spp. clones was evaluated by multivariate techniques based on 167RAPD markers, of which 155 were polymorphic and 12 monomorphic. The measures of genetic distances were obtained by thearithmetic complement of the coefficients of Jaccard and of Sorenso-Nei and L...

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Main Authors: Bruno Ettore Pavan, Rinaldo César de Paula, Janete Apparecida Desidério Sena, César Augusto Valencise Bonine, Edimar Aparecido Scarpinatti
Format: Article
Language:English
Published: Brazilian Society of Plant Breeding 2006-01-01
Series:Crop Breeding and Applied Biotechnology
Subjects:
Online Access:http://www.sbmp.org.br/cbab/siscbab/uploads/bd6ba09c-52db-224d.pdf
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spelling doaj-affbf41ece28495e90a9201896738f222020-11-25T01:40:41ZengBrazilian Society of Plant BreedingCrop Breeding and Applied Biotechnology1518-78531984-70332006-01-0163194202Genetic divergence in Eucalyptus spp. clones by molecular RAPD markersBruno Ettore PavanRinaldo César de PaulaJanete Apparecida Desidério SenaCésar Augusto Valencise BonineEdimar Aparecido ScarpinattiThe genetic divergence in 20 Eucalyptus spp. clones was evaluated by multivariate techniques based on 167RAPD markers, of which 155 were polymorphic and 12 monomorphic. The measures of genetic distances were obtained by thearithmetic complement of the coefficients of Jaccard and of Sorenso-Nei and Li and evaluated by the hierarchical methods ofSingle Linkage clustering and Unweighted Pair Group Method with Arithmetic Mean (UPGMA). Independent of the dissimilaritycoefficient, the greatest divergence was found between clones 7 and 17 and the smallest between the clones 11 and 14. Cloneclustering was little influenced by the applied procedure so that, adopting the same percentage of divergence, the UPGMAidentified two groups less for the coefficient of Sorenso-Nei and Li. The clones evidenced considerable genetic divergence,which is partly associated to the origin of the study material. The clusters formed by the UPGMA clustering algorithmassociated to the arithmetic complement of Jaccard were most consistent.http://www.sbmp.org.br/cbab/siscbab/uploads/bd6ba09c-52db-224d.pdfDissimilarityclustering analysiseucalyptRAPD.
collection DOAJ
language English
format Article
sources DOAJ
author Bruno Ettore Pavan
Rinaldo César de Paula
Janete Apparecida Desidério Sena
César Augusto Valencise Bonine
Edimar Aparecido Scarpinatti
spellingShingle Bruno Ettore Pavan
Rinaldo César de Paula
Janete Apparecida Desidério Sena
César Augusto Valencise Bonine
Edimar Aparecido Scarpinatti
Genetic divergence in Eucalyptus spp. clones by molecular RAPD markers
Crop Breeding and Applied Biotechnology
Dissimilarity
clustering analysis
eucalypt
RAPD.
author_facet Bruno Ettore Pavan
Rinaldo César de Paula
Janete Apparecida Desidério Sena
César Augusto Valencise Bonine
Edimar Aparecido Scarpinatti
author_sort Bruno Ettore Pavan
title Genetic divergence in Eucalyptus spp. clones by molecular RAPD markers
title_short Genetic divergence in Eucalyptus spp. clones by molecular RAPD markers
title_full Genetic divergence in Eucalyptus spp. clones by molecular RAPD markers
title_fullStr Genetic divergence in Eucalyptus spp. clones by molecular RAPD markers
title_full_unstemmed Genetic divergence in Eucalyptus spp. clones by molecular RAPD markers
title_sort genetic divergence in eucalyptus spp. clones by molecular rapd markers
publisher Brazilian Society of Plant Breeding
series Crop Breeding and Applied Biotechnology
issn 1518-7853
1984-7033
publishDate 2006-01-01
description The genetic divergence in 20 Eucalyptus spp. clones was evaluated by multivariate techniques based on 167RAPD markers, of which 155 were polymorphic and 12 monomorphic. The measures of genetic distances were obtained by thearithmetic complement of the coefficients of Jaccard and of Sorenso-Nei and Li and evaluated by the hierarchical methods ofSingle Linkage clustering and Unweighted Pair Group Method with Arithmetic Mean (UPGMA). Independent of the dissimilaritycoefficient, the greatest divergence was found between clones 7 and 17 and the smallest between the clones 11 and 14. Cloneclustering was little influenced by the applied procedure so that, adopting the same percentage of divergence, the UPGMAidentified two groups less for the coefficient of Sorenso-Nei and Li. The clones evidenced considerable genetic divergence,which is partly associated to the origin of the study material. The clusters formed by the UPGMA clustering algorithmassociated to the arithmetic complement of Jaccard were most consistent.
topic Dissimilarity
clustering analysis
eucalypt
RAPD.
url http://www.sbmp.org.br/cbab/siscbab/uploads/bd6ba09c-52db-224d.pdf
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