Characterization of genetic diversity of bird-of-paradise accessions

Bibliographic Details
Main Author: Santos,Alessandro Aparecido dos
Publication Date: 2018
Other Authors: Ambrozio,Valdete Campos, Barelli,Marco Antonio Aparecido, Guimarães,Thallita Santos, Luz,Petterson Baptista da
Format: Article
Language: eng
Source: Ornamental Horticulture
Download full: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2447-536X2018000100050
Summary: ABSTRACT This study aimed to characterize genetic diversity in the bird-of-paradise (Strelitzia reginae) collection at the Universidade do Estado de Mato Grosso Carlos Alberto Reyes Maldonado (UNEMAT) by estimating genetic divergence among genotypes based on agronomic characteristics. Seven agronomic characters were evaluated with average Euclidean distance. The UPGMA (Unweighted Pair Group Method with Arithmetic Mean) hierarchical clustering method was used between groups, as well as Tocher's optimization clustering method and principal component analysis (PCA), in order to classify the genotypes with maximum similarity between groups. Measures of genetic dissimilarity with average Euclidean distance verified the existence of genetic variability among accessions since the amplitude of dissimilarity values ranged from 1.09 to 36.97. Tocher's clustering method verified the formation of two distinct groups. UPGMA hierarchical clustering, based on the dissimilarity matrix, verified the formation of three groups with 30% cutoff point. Based on the main components analysis, we verified genetic divergence between the bird-of-paradise accessions in the UNEMAT Collection. The most promising combinations for future crosses in breeding programs comprise accessions 1, 11, and 23 and accession 1 as the most divergent among the accessions evaluated.
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spelling Characterization of genetic diversity of bird-of-paradise accessionsStrelitzia reginaemain componentscluster methodsdivergencetropical flowersABSTRACT This study aimed to characterize genetic diversity in the bird-of-paradise (Strelitzia reginae) collection at the Universidade do Estado de Mato Grosso Carlos Alberto Reyes Maldonado (UNEMAT) by estimating genetic divergence among genotypes based on agronomic characteristics. Seven agronomic characters were evaluated with average Euclidean distance. The UPGMA (Unweighted Pair Group Method with Arithmetic Mean) hierarchical clustering method was used between groups, as well as Tocher's optimization clustering method and principal component analysis (PCA), in order to classify the genotypes with maximum similarity between groups. Measures of genetic dissimilarity with average Euclidean distance verified the existence of genetic variability among accessions since the amplitude of dissimilarity values ranged from 1.09 to 36.97. Tocher's clustering method verified the formation of two distinct groups. UPGMA hierarchical clustering, based on the dissimilarity matrix, verified the formation of three groups with 30% cutoff point. Based on the main components analysis, we verified genetic divergence between the bird-of-paradise accessions in the UNEMAT Collection. The most promising combinations for future crosses in breeding programs comprise accessions 1, 11, and 23 and accession 1 as the most divergent among the accessions evaluated.Sociedade Brasileira de Floricultura e Plantas Ornamentais2018-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://www.scielo.br/scielo.php?script=sci_arttext&pid=S2447-536X2018000100050Ornamental Horticulture v.24 n.1 2018reponame:Ornamental Horticultureinstname:Sociedade Brasileira de Floricultura e Plantas Ornamentaisinstacron:SBFPO10.14295/oh.v24i1.1132info:eu-repo/semantics/openAccessSantos,Alessandro Aparecido dosAmbrozio,Valdete CamposBarelli,Marco Antonio AparecidoGuimarães,Thallita SantosLuz,Petterson Baptista daeng2020-04-25T22:05:12Zhttp://www.scielo.br/oai/scielo-oai.php2447-536X2447-536Xopendoar:null2020-04-26 03:22:33.673Ornamental Horticulture - Sociedade Brasileira de Floricultura e Plantas Ornamentaistrue
dc.title.none.fl_str_mv Characterization of genetic diversity of bird-of-paradise accessions
title Characterization of genetic diversity of bird-of-paradise accessions
spellingShingle Characterization of genetic diversity of bird-of-paradise accessions
Santos,Alessandro Aparecido dos
Strelitzia reginae
main components
cluster methods
divergence
tropical flowers
title_short Characterization of genetic diversity of bird-of-paradise accessions
title_full Characterization of genetic diversity of bird-of-paradise accessions
title_fullStr Characterization of genetic diversity of bird-of-paradise accessions
title_full_unstemmed Characterization of genetic diversity of bird-of-paradise accessions
title_sort Characterization of genetic diversity of bird-of-paradise accessions
author Santos,Alessandro Aparecido dos
author_facet Santos,Alessandro Aparecido dos
Ambrozio,Valdete Campos
Barelli,Marco Antonio Aparecido
Guimarães,Thallita Santos
Luz,Petterson Baptista da
author_role author
author2 Ambrozio,Valdete Campos
Barelli,Marco Antonio Aparecido
Guimarães,Thallita Santos
Luz,Petterson Baptista da
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Santos,Alessandro Aparecido dos
Ambrozio,Valdete Campos
Barelli,Marco Antonio Aparecido
Guimarães,Thallita Santos
Luz,Petterson Baptista da
dc.subject.por.fl_str_mv Strelitzia reginae
main components
cluster methods
divergence
tropical flowers
topic Strelitzia reginae
main components
cluster methods
divergence
tropical flowers
dc.description.none.fl_txt_mv ABSTRACT This study aimed to characterize genetic diversity in the bird-of-paradise (Strelitzia reginae) collection at the Universidade do Estado de Mato Grosso Carlos Alberto Reyes Maldonado (UNEMAT) by estimating genetic divergence among genotypes based on agronomic characteristics. Seven agronomic characters were evaluated with average Euclidean distance. The UPGMA (Unweighted Pair Group Method with Arithmetic Mean) hierarchical clustering method was used between groups, as well as Tocher's optimization clustering method and principal component analysis (PCA), in order to classify the genotypes with maximum similarity between groups. Measures of genetic dissimilarity with average Euclidean distance verified the existence of genetic variability among accessions since the amplitude of dissimilarity values ranged from 1.09 to 36.97. Tocher's clustering method verified the formation of two distinct groups. UPGMA hierarchical clustering, based on the dissimilarity matrix, verified the formation of three groups with 30% cutoff point. Based on the main components analysis, we verified genetic divergence between the bird-of-paradise accessions in the UNEMAT Collection. The most promising combinations for future crosses in breeding programs comprise accessions 1, 11, and 23 and accession 1 as the most divergent among the accessions evaluated.
description ABSTRACT This study aimed to characterize genetic diversity in the bird-of-paradise (Strelitzia reginae) collection at the Universidade do Estado de Mato Grosso Carlos Alberto Reyes Maldonado (UNEMAT) by estimating genetic divergence among genotypes based on agronomic characteristics. Seven agronomic characters were evaluated with average Euclidean distance. The UPGMA (Unweighted Pair Group Method with Arithmetic Mean) hierarchical clustering method was used between groups, as well as Tocher's optimization clustering method and principal component analysis (PCA), in order to classify the genotypes with maximum similarity between groups. Measures of genetic dissimilarity with average Euclidean distance verified the existence of genetic variability among accessions since the amplitude of dissimilarity values ranged from 1.09 to 36.97. Tocher's clustering method verified the formation of two distinct groups. UPGMA hierarchical clustering, based on the dissimilarity matrix, verified the formation of three groups with 30% cutoff point. Based on the main components analysis, we verified genetic divergence between the bird-of-paradise accessions in the UNEMAT Collection. The most promising combinations for future crosses in breeding programs comprise accessions 1, 11, and 23 and accession 1 as the most divergent among the accessions evaluated.
publishDate 2018
dc.date.none.fl_str_mv 2018-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2447-536X2018000100050
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2447-536X2018000100050
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.14295/oh.v24i1.1132
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Floricultura e Plantas Ornamentais
publisher.none.fl_str_mv Sociedade Brasileira de Floricultura e Plantas Ornamentais
dc.source.none.fl_str_mv Ornamental Horticulture v.24 n.1 2018
reponame:Ornamental Horticulture
instname:Sociedade Brasileira de Floricultura e Plantas Ornamentais
instacron:SBFPO
reponame_str Ornamental Horticulture
collection Ornamental Horticulture
instname_str Sociedade Brasileira de Floricultura e Plantas Ornamentais
instacron_str SBFPO
institution SBFPO
repository.name.fl_str_mv Ornamental Horticulture - Sociedade Brasileira de Floricultura e Plantas Ornamentais
repository.mail.fl_str_mv
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