Genetic diversity of promising ‘conilon’ coffee clones based on morpho-agronomic variables

Detalhes bibliográficos
Autor(a) principal: GILES,JOÃO ANTONIO D.
Data de Publicação: 2018
Outros Autores: PARTELLI,FÁBIO L., FERREIRA,ADÉSIO, RODRIGUES,JOICE P., OLIOSI,GLEISON, SILVA,FERNANDO H. LIMA E
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anais da Academia Brasileira de Ciências (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000502437
Resumo: Abstract Knowledge of the genetic variability of a population is essential to guide its preservation and maintenance in addition to increasing the efficiency of genetic breeding programs. On this basis, this study was conducted to evaluate the genetic diversity of Coffea canephora genotypes using multivariate statistical procedures applied to a set of morpho-agronomic variables. The materials employed in this study constitute a crop located in Vila Valério - ES, Brazil, where the genotypes are arranged in a randomized-blocks experimental design with four replicates. Significant differences were detected by the F test at the 1% or 5% probability levels among the genotypes for all evaluated traits, demonstrating heterogeneity of genetic constitution in the studied population, which is favorable to breeding, as it indicates the possibility to identify superior and divergent individuals. Based on the generalized Mahalanobis distance, the most divergent combinations were obtained between genotypes 23 and 10 (256.43) and 23 and 17 (250.09). The clusters formed by Tocher’s optimization and the UPGMA hierarchical method agreed, both similarly grouping the genotypes into three clusters. Of the analyzed traits, mature fruit weight (19.08%), yield (15.50%), plant diameter (12.42%), and orthotropic-shoot internode length (10.94%) were the most efficient to explain the dissimilarity among the genotypes.
id ABC-1_008d827fe9337ce1a6ff760ae1cb6548
oai_identifier_str oai:scielo:S0001-37652018000502437
network_acronym_str ABC-1
network_name_str Anais da Academia Brasileira de Ciências (Online)
repository_id_str
spelling Genetic diversity of promising ‘conilon’ coffee clones based on morpho-agronomic variablesCoffea canephoradissimilaritymultivariate analysisplant breedingAbstract Knowledge of the genetic variability of a population is essential to guide its preservation and maintenance in addition to increasing the efficiency of genetic breeding programs. On this basis, this study was conducted to evaluate the genetic diversity of Coffea canephora genotypes using multivariate statistical procedures applied to a set of morpho-agronomic variables. The materials employed in this study constitute a crop located in Vila Valério - ES, Brazil, where the genotypes are arranged in a randomized-blocks experimental design with four replicates. Significant differences were detected by the F test at the 1% or 5% probability levels among the genotypes for all evaluated traits, demonstrating heterogeneity of genetic constitution in the studied population, which is favorable to breeding, as it indicates the possibility to identify superior and divergent individuals. Based on the generalized Mahalanobis distance, the most divergent combinations were obtained between genotypes 23 and 10 (256.43) and 23 and 17 (250.09). The clusters formed by Tocher’s optimization and the UPGMA hierarchical method agreed, both similarly grouping the genotypes into three clusters. Of the analyzed traits, mature fruit weight (19.08%), yield (15.50%), plant diameter (12.42%), and orthotropic-shoot internode length (10.94%) were the most efficient to explain the dissimilarity among the genotypes.Academia Brasileira de Ciências2018-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000502437Anais da Academia Brasileira de Ciências v.90 n.2 suppl.1 2018reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765201820170523info:eu-repo/semantics/openAccessGILES,JOÃO ANTONIO D.PARTELLI,FÁBIO L.FERREIRA,ADÉSIORODRIGUES,JOICE P.OLIOSI,GLEISONSILVA,FERNANDO H. LIMA Eeng2019-11-29T00:00:00Zoai:scielo:S0001-37652018000502437Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2019-11-29T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv Genetic diversity of promising ‘conilon’ coffee clones based on morpho-agronomic variables
title Genetic diversity of promising ‘conilon’ coffee clones based on morpho-agronomic variables
spellingShingle Genetic diversity of promising ‘conilon’ coffee clones based on morpho-agronomic variables
GILES,JOÃO ANTONIO D.
Coffea canephora
dissimilarity
multivariate analysis
plant breeding
title_short Genetic diversity of promising ‘conilon’ coffee clones based on morpho-agronomic variables
title_full Genetic diversity of promising ‘conilon’ coffee clones based on morpho-agronomic variables
title_fullStr Genetic diversity of promising ‘conilon’ coffee clones based on morpho-agronomic variables
title_full_unstemmed Genetic diversity of promising ‘conilon’ coffee clones based on morpho-agronomic variables
title_sort Genetic diversity of promising ‘conilon’ coffee clones based on morpho-agronomic variables
author GILES,JOÃO ANTONIO D.
author_facet GILES,JOÃO ANTONIO D.
PARTELLI,FÁBIO L.
FERREIRA,ADÉSIO
RODRIGUES,JOICE P.
OLIOSI,GLEISON
SILVA,FERNANDO H. LIMA E
author_role author
author2 PARTELLI,FÁBIO L.
FERREIRA,ADÉSIO
RODRIGUES,JOICE P.
OLIOSI,GLEISON
SILVA,FERNANDO H. LIMA E
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv GILES,JOÃO ANTONIO D.
PARTELLI,FÁBIO L.
FERREIRA,ADÉSIO
RODRIGUES,JOICE P.
OLIOSI,GLEISON
SILVA,FERNANDO H. LIMA E
dc.subject.por.fl_str_mv Coffea canephora
dissimilarity
multivariate analysis
plant breeding
topic Coffea canephora
dissimilarity
multivariate analysis
plant breeding
description Abstract Knowledge of the genetic variability of a population is essential to guide its preservation and maintenance in addition to increasing the efficiency of genetic breeding programs. On this basis, this study was conducted to evaluate the genetic diversity of Coffea canephora genotypes using multivariate statistical procedures applied to a set of morpho-agronomic variables. The materials employed in this study constitute a crop located in Vila Valério - ES, Brazil, where the genotypes are arranged in a randomized-blocks experimental design with four replicates. Significant differences were detected by the F test at the 1% or 5% probability levels among the genotypes for all evaluated traits, demonstrating heterogeneity of genetic constitution in the studied population, which is favorable to breeding, as it indicates the possibility to identify superior and divergent individuals. Based on the generalized Mahalanobis distance, the most divergent combinations were obtained between genotypes 23 and 10 (256.43) and 23 and 17 (250.09). The clusters formed by Tocher’s optimization and the UPGMA hierarchical method agreed, both similarly grouping the genotypes into three clusters. Of the analyzed traits, mature fruit weight (19.08%), yield (15.50%), plant diameter (12.42%), and orthotropic-shoot internode length (10.94%) were the most efficient to explain the dissimilarity among the genotypes.
publishDate 2018
dc.date.none.fl_str_mv 2018-08-01
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://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000502437
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000502437
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0001-3765201820170523
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 Academia Brasileira de Ciências
publisher.none.fl_str_mv Academia Brasileira de Ciências
dc.source.none.fl_str_mv Anais da Academia Brasileira de Ciências v.90 n.2 suppl.1 2018
reponame:Anais da Academia Brasileira de Ciências (Online)
instname:Academia Brasileira de Ciências (ABC)
instacron:ABC
instname_str Academia Brasileira de Ciências (ABC)
instacron_str ABC
institution ABC
reponame_str Anais da Academia Brasileira de Ciências (Online)
collection Anais da Academia Brasileira de Ciências (Online)
repository.name.fl_str_mv Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)
repository.mail.fl_str_mv ||aabc@abc.org.br
_version_ 1754302865995726848