Characterization and genetic diversity in Paspalum notatum Flügge accessions: Morphological and geographical distance

Detalhes bibliográficos
Autor(a) principal: Steiner,Marcelo Gomes
Data de Publicação: 2022
Outros Autores: Weiler,Roberto Luis, Brunes,André Pich, Mills,Annamaria, Dall’Agnol,Miguel, Nabinger,Carlos, Motta,Eder Alexandre Minski da, Silveira,Diógenes Cecchin, Sampaio,Rodrigo, Tessis,Gabriel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Zootecnia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982022000100403
Resumo: ABSTRACT The objective of this work was to describe morphology and grouping of Paspalum notatum accessions, based on multicategorical data which discards the redundant variables for quantification of genetic diversity. We also tested the hypothesis that geographical distance was correlated with morphological divergence. In our study, multivariate analyzes successfully demonstrated the geographic and morphological variability of the P. notatum accessions characterized. Many of these evaluated accessions can be included in future genetic improvement programs. Based on two methodologies for discarding variables, it was possible to identify the potentially important morphological characteristics from genetic diversity studies and characterize new accessions aimed at improving forage and seed production. The methodologies used to discard variables are biometric tools that can be used successfully in future plant breeding programs, especially when a large number of traits and accessions are being evaluated. Although significant, geographic distance had a low association with morphological traits. This indicated the need to use other characteristics, such as forage and seed yield, in addition to molecular analysis. Our analyzes showed genetic variability in P. notatum for all the characteristics studied.
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spelling Characterization and genetic diversity in Paspalum notatum Flügge accessions: Morphological and geographical distancecluster analysishierarchical methodoptimization methodTocherABSTRACT The objective of this work was to describe morphology and grouping of Paspalum notatum accessions, based on multicategorical data which discards the redundant variables for quantification of genetic diversity. We also tested the hypothesis that geographical distance was correlated with morphological divergence. In our study, multivariate analyzes successfully demonstrated the geographic and morphological variability of the P. notatum accessions characterized. Many of these evaluated accessions can be included in future genetic improvement programs. Based on two methodologies for discarding variables, it was possible to identify the potentially important morphological characteristics from genetic diversity studies and characterize new accessions aimed at improving forage and seed production. The methodologies used to discard variables are biometric tools that can be used successfully in future plant breeding programs, especially when a large number of traits and accessions are being evaluated. Although significant, geographic distance had a low association with morphological traits. This indicated the need to use other characteristics, such as forage and seed yield, in addition to molecular analysis. Our analyzes showed genetic variability in P. notatum for all the characteristics studied.Sociedade Brasileira de Zootecnia2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982022000100403Revista Brasileira de Zootecnia v.51 2022reponame:Revista Brasileira de Zootecnia (Online)instname:Sociedade Brasileira de Zootecnia (SBZ)instacron:SBZ10.37496/rbz5120220015info:eu-repo/semantics/openAccessSteiner,Marcelo GomesWeiler,Roberto LuisBrunes,André PichMills,AnnamariaDall’Agnol,MiguelNabinger,CarlosMotta,Eder Alexandre Minski daSilveira,Diógenes CecchinSampaio,RodrigoTessis,Gabrieleng2022-09-20T00:00:00Zoai:scielo:S1516-35982022000100403Revistahttps://www.rbz.org.br/pt-br/https://old.scielo.br/oai/scielo-oai.php||bz@sbz.org.br|| secretariarbz@sbz.org.br1806-92901516-3598opendoar:2022-09-20T00:00Revista Brasileira de Zootecnia (Online) - Sociedade Brasileira de Zootecnia (SBZ)false
dc.title.none.fl_str_mv Characterization and genetic diversity in Paspalum notatum Flügge accessions: Morphological and geographical distance
title Characterization and genetic diversity in Paspalum notatum Flügge accessions: Morphological and geographical distance
spellingShingle Characterization and genetic diversity in Paspalum notatum Flügge accessions: Morphological and geographical distance
Steiner,Marcelo Gomes
cluster analysis
hierarchical method
optimization method
Tocher
title_short Characterization and genetic diversity in Paspalum notatum Flügge accessions: Morphological and geographical distance
title_full Characterization and genetic diversity in Paspalum notatum Flügge accessions: Morphological and geographical distance
title_fullStr Characterization and genetic diversity in Paspalum notatum Flügge accessions: Morphological and geographical distance
title_full_unstemmed Characterization and genetic diversity in Paspalum notatum Flügge accessions: Morphological and geographical distance
title_sort Characterization and genetic diversity in Paspalum notatum Flügge accessions: Morphological and geographical distance
author Steiner,Marcelo Gomes
author_facet Steiner,Marcelo Gomes
Weiler,Roberto Luis
Brunes,André Pich
Mills,Annamaria
Dall’Agnol,Miguel
Nabinger,Carlos
Motta,Eder Alexandre Minski da
Silveira,Diógenes Cecchin
Sampaio,Rodrigo
Tessis,Gabriel
author_role author
author2 Weiler,Roberto Luis
Brunes,André Pich
Mills,Annamaria
Dall’Agnol,Miguel
Nabinger,Carlos
Motta,Eder Alexandre Minski da
Silveira,Diógenes Cecchin
Sampaio,Rodrigo
Tessis,Gabriel
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Steiner,Marcelo Gomes
Weiler,Roberto Luis
Brunes,André Pich
Mills,Annamaria
Dall’Agnol,Miguel
Nabinger,Carlos
Motta,Eder Alexandre Minski da
Silveira,Diógenes Cecchin
Sampaio,Rodrigo
Tessis,Gabriel
dc.subject.por.fl_str_mv cluster analysis
hierarchical method
optimization method
Tocher
topic cluster analysis
hierarchical method
optimization method
Tocher
description ABSTRACT The objective of this work was to describe morphology and grouping of Paspalum notatum accessions, based on multicategorical data which discards the redundant variables for quantification of genetic diversity. We also tested the hypothesis that geographical distance was correlated with morphological divergence. In our study, multivariate analyzes successfully demonstrated the geographic and morphological variability of the P. notatum accessions characterized. Many of these evaluated accessions can be included in future genetic improvement programs. Based on two methodologies for discarding variables, it was possible to identify the potentially important morphological characteristics from genetic diversity studies and characterize new accessions aimed at improving forage and seed production. The methodologies used to discard variables are biometric tools that can be used successfully in future plant breeding programs, especially when a large number of traits and accessions are being evaluated. Although significant, geographic distance had a low association with morphological traits. This indicated the need to use other characteristics, such as forage and seed yield, in addition to molecular analysis. Our analyzes showed genetic variability in P. notatum for all the characteristics studied.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.37496/rbz5120220015
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dc.publisher.none.fl_str_mv Sociedade Brasileira de Zootecnia
publisher.none.fl_str_mv Sociedade Brasileira de Zootecnia
dc.source.none.fl_str_mv Revista Brasileira de Zootecnia v.51 2022
reponame:Revista Brasileira de Zootecnia (Online)
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reponame_str Revista Brasileira de Zootecnia (Online)
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