Genetic diversity of promising ‘conilon’ coffee clones based on morpho-agronomic variables
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Outros Autores: | , , , , |
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 |