Phenotypic and molecular selection of yellow passion fruit progenies in the second cycle of recurrent selection

Detalhes bibliográficos
Autor(a) principal: Reis,Ronaldo Viana dos
Data de Publicação: 2012
Outros Autores: Viana,Alexandre Pio, Oliveira,Eder Jorge de, Silva,Marcelo Geraldo de Moraes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Crop Breeding and Applied Biotechnology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332012000100003
Resumo: The purpose of this study was to evaluate the efficiency of selection of a population of yellow passion fruit in the second cycle of recurrent selection, based on molecular and agronomic data. In 39 full-sib progenies, genotyped using microsatellite markers, 11 agronomic traits were evaluated. The progenies were selected based on the genetic distance matrix and the selection efficiency was confirmed based on the most important agronomic traits of yellow passion fruit. Only 12 of the 25 best progenies were identified by all three selection strategies (agronomic, molecular and combined selection). No significant correlation was observed between the genetic distance matrices and the molecular x agronomic data. The progenies selected by molecular markers had the highest mean yield and fruit number. Results indicate the possibility of applying this combined selection procedure based on agronomic as well as molecular data to optimize genetic gain for the traits under selection.
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spelling Phenotypic and molecular selection of yellow passion fruit progenies in the second cycle of recurrent selectionbreedingPassiflora edulismicrosatellite markersgenetic variabilityThe purpose of this study was to evaluate the efficiency of selection of a population of yellow passion fruit in the second cycle of recurrent selection, based on molecular and agronomic data. In 39 full-sib progenies, genotyped using microsatellite markers, 11 agronomic traits were evaluated. The progenies were selected based on the genetic distance matrix and the selection efficiency was confirmed based on the most important agronomic traits of yellow passion fruit. Only 12 of the 25 best progenies were identified by all three selection strategies (agronomic, molecular and combined selection). No significant correlation was observed between the genetic distance matrices and the molecular x agronomic data. The progenies selected by molecular markers had the highest mean yield and fruit number. Results indicate the possibility of applying this combined selection procedure based on agronomic as well as molecular data to optimize genetic gain for the traits under selection.Crop Breeding and Applied Biotechnology2012-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332012000100003Crop Breeding and Applied Biotechnology v.12 n.1 2012reponame:Crop Breeding and Applied Biotechnologyinstname:Sociedade Brasileira de Melhoramento de Plantasinstacron:CBAB10.1590/S1984-70332012000100003info:eu-repo/semantics/openAccessReis,Ronaldo Viana dosViana,Alexandre PioOliveira,Eder Jorge deSilva,Marcelo Geraldo de Moraeseng2012-05-21T00:00:00Zoai:scielo:S1984-70332012000100003Revistahttps://cbab.sbmp.org.br/#ONGhttps://old.scielo.br/oai/scielo-oai.phpcbabjournal@gmail.com||cbab@ufv.br1984-70331518-7853opendoar:2012-05-21T00:00Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantasfalse
dc.title.none.fl_str_mv Phenotypic and molecular selection of yellow passion fruit progenies in the second cycle of recurrent selection
title Phenotypic and molecular selection of yellow passion fruit progenies in the second cycle of recurrent selection
spellingShingle Phenotypic and molecular selection of yellow passion fruit progenies in the second cycle of recurrent selection
Reis,Ronaldo Viana dos
breeding
Passiflora edulis
microsatellite markers
genetic variability
title_short Phenotypic and molecular selection of yellow passion fruit progenies in the second cycle of recurrent selection
title_full Phenotypic and molecular selection of yellow passion fruit progenies in the second cycle of recurrent selection
title_fullStr Phenotypic and molecular selection of yellow passion fruit progenies in the second cycle of recurrent selection
title_full_unstemmed Phenotypic and molecular selection of yellow passion fruit progenies in the second cycle of recurrent selection
title_sort Phenotypic and molecular selection of yellow passion fruit progenies in the second cycle of recurrent selection
author Reis,Ronaldo Viana dos
author_facet Reis,Ronaldo Viana dos
Viana,Alexandre Pio
Oliveira,Eder Jorge de
Silva,Marcelo Geraldo de Moraes
author_role author
author2 Viana,Alexandre Pio
Oliveira,Eder Jorge de
Silva,Marcelo Geraldo de Moraes
author2_role author
author
author
dc.contributor.author.fl_str_mv Reis,Ronaldo Viana dos
Viana,Alexandre Pio
Oliveira,Eder Jorge de
Silva,Marcelo Geraldo de Moraes
dc.subject.por.fl_str_mv breeding
Passiflora edulis
microsatellite markers
genetic variability
topic breeding
Passiflora edulis
microsatellite markers
genetic variability
description The purpose of this study was to evaluate the efficiency of selection of a population of yellow passion fruit in the second cycle of recurrent selection, based on molecular and agronomic data. In 39 full-sib progenies, genotyped using microsatellite markers, 11 agronomic traits were evaluated. The progenies were selected based on the genetic distance matrix and the selection efficiency was confirmed based on the most important agronomic traits of yellow passion fruit. Only 12 of the 25 best progenies were identified by all three selection strategies (agronomic, molecular and combined selection). No significant correlation was observed between the genetic distance matrices and the molecular x agronomic data. The progenies selected by molecular markers had the highest mean yield and fruit number. Results indicate the possibility of applying this combined selection procedure based on agronomic as well as molecular data to optimize genetic gain for the traits under selection.
publishDate 2012
dc.date.none.fl_str_mv 2012-03-01
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://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332012000100003
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332012000100003
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1984-70332012000100003
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 Crop Breeding and Applied Biotechnology
publisher.none.fl_str_mv Crop Breeding and Applied Biotechnology
dc.source.none.fl_str_mv Crop Breeding and Applied Biotechnology v.12 n.1 2012
reponame:Crop Breeding and Applied Biotechnology
instname:Sociedade Brasileira de Melhoramento de Plantas
instacron:CBAB
instname_str Sociedade Brasileira de Melhoramento de Plantas
instacron_str CBAB
institution CBAB
reponame_str Crop Breeding and Applied Biotechnology
collection Crop Breeding and Applied Biotechnology
repository.name.fl_str_mv Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantas
repository.mail.fl_str_mv cbabjournal@gmail.com||cbab@ufv.br
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