Development and selection of super-sweet corn genotypes (sh2) through multivariate approaches

Detalhes bibliográficos
Autor(a) principal: Gonçalves,Gabriel Moreno Bernardo
Data de Publicação: 2018
Outros Autores: Pereira,Messias Gonzaga, Ferreira Júnior,José Arantes, Schwantes,Ismael Albino, Durães,Nayara Norrene Lacerda, Crevelari,Jocarla Ambrosim, Amaral Junior,Antonio Teixeira do
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bragantia
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052018000400536
Resumo: ABSTRACT The aim of the present study was to investigate relations among ten traits in super-sweet corn genotypes assessed by means of simple correlation, path and canonical variable analyses, as well as to investigate the relative importance of such traits to the super-sweet corn breeding program developed at Darcy Ribeiro Northern Fluminense State University in order to develop strategies able to improve the efficiency in the selection of superior genotypes. Thus, trials comprising 3 × 6 partial diallel of super-sweet (sh2) corn were carried out, according to a short_textrandomized block design (RBD)short_text with four repetitions, in two different environments located in Northern Rio de Janeiro State, Brazil (Itaocara and Campos dos Goytacazes counties). The correlation study showed that traits such as ear diameter and useful short_textearshort_text length contributed the most to increase short_textearshort_text yield (without husk); the variable ear diameter stood out for having stronger direct effect on ear yield, as well as for presenting high heritability (0.95). The trait number of grains per ear row contributed the most to the variation between hybrids, whereas the trait useful ear length contributed the least. The canonical variables showed that the genetic backgrounds of sh2-gene donor populations had effect on recurrent populations, even after five backcrossing cycles, thus resulting in the formation of two divergent groups.
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spelling Development and selection of super-sweet corn genotypes (sh2) through multivariate approachesZea mays L.canonical variablespath analysisMahalanobis-D2partial diallel.ABSTRACT The aim of the present study was to investigate relations among ten traits in super-sweet corn genotypes assessed by means of simple correlation, path and canonical variable analyses, as well as to investigate the relative importance of such traits to the super-sweet corn breeding program developed at Darcy Ribeiro Northern Fluminense State University in order to develop strategies able to improve the efficiency in the selection of superior genotypes. Thus, trials comprising 3 × 6 partial diallel of super-sweet (sh2) corn were carried out, according to a short_textrandomized block design (RBD)short_text with four repetitions, in two different environments located in Northern Rio de Janeiro State, Brazil (Itaocara and Campos dos Goytacazes counties). The correlation study showed that traits such as ear diameter and useful short_textearshort_text length contributed the most to increase short_textearshort_text yield (without husk); the variable ear diameter stood out for having stronger direct effect on ear yield, as well as for presenting high heritability (0.95). The trait number of grains per ear row contributed the most to the variation between hybrids, whereas the trait useful ear length contributed the least. The canonical variables showed that the genetic backgrounds of sh2-gene donor populations had effect on recurrent populations, even after five backcrossing cycles, thus resulting in the formation of two divergent groups.Instituto Agronômico de Campinas2018-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052018000400536Bragantia v.77 n.4 2018reponame:Bragantiainstname:Instituto Agronômico de Campinas (IAC)instacron:IAC10.1590/1678-4499.2017340info:eu-repo/semantics/openAccessGonçalves,Gabriel Moreno BernardoPereira,Messias GonzagaFerreira Júnior,José ArantesSchwantes,Ismael AlbinoDurães,Nayara Norrene LacerdaCrevelari,Jocarla AmbrosimAmaral Junior,Antonio Teixeira doeng2018-11-13T00:00:00Zoai:scielo:S0006-87052018000400536Revistahttps://www.scielo.br/j/brag/https://old.scielo.br/oai/scielo-oai.phpbragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br1678-44990006-8705opendoar:2018-11-13T00:00Bragantia - Instituto Agronômico de Campinas (IAC)false
dc.title.none.fl_str_mv Development and selection of super-sweet corn genotypes (sh2) through multivariate approaches
title Development and selection of super-sweet corn genotypes (sh2) through multivariate approaches
spellingShingle Development and selection of super-sweet corn genotypes (sh2) through multivariate approaches
Gonçalves,Gabriel Moreno Bernardo
Zea mays L.
canonical variables
path analysis
Mahalanobis-D2
partial diallel.
title_short Development and selection of super-sweet corn genotypes (sh2) through multivariate approaches
title_full Development and selection of super-sweet corn genotypes (sh2) through multivariate approaches
title_fullStr Development and selection of super-sweet corn genotypes (sh2) through multivariate approaches
title_full_unstemmed Development and selection of super-sweet corn genotypes (sh2) through multivariate approaches
title_sort Development and selection of super-sweet corn genotypes (sh2) through multivariate approaches
author Gonçalves,Gabriel Moreno Bernardo
author_facet Gonçalves,Gabriel Moreno Bernardo
Pereira,Messias Gonzaga
Ferreira Júnior,José Arantes
Schwantes,Ismael Albino
Durães,Nayara Norrene Lacerda
Crevelari,Jocarla Ambrosim
Amaral Junior,Antonio Teixeira do
author_role author
author2 Pereira,Messias Gonzaga
Ferreira Júnior,José Arantes
Schwantes,Ismael Albino
Durães,Nayara Norrene Lacerda
Crevelari,Jocarla Ambrosim
Amaral Junior,Antonio Teixeira do
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Gonçalves,Gabriel Moreno Bernardo
Pereira,Messias Gonzaga
Ferreira Júnior,José Arantes
Schwantes,Ismael Albino
Durães,Nayara Norrene Lacerda
Crevelari,Jocarla Ambrosim
Amaral Junior,Antonio Teixeira do
dc.subject.por.fl_str_mv Zea mays L.
canonical variables
path analysis
Mahalanobis-D2
partial diallel.
topic Zea mays L.
canonical variables
path analysis
Mahalanobis-D2
partial diallel.
description ABSTRACT The aim of the present study was to investigate relations among ten traits in super-sweet corn genotypes assessed by means of simple correlation, path and canonical variable analyses, as well as to investigate the relative importance of such traits to the super-sweet corn breeding program developed at Darcy Ribeiro Northern Fluminense State University in order to develop strategies able to improve the efficiency in the selection of superior genotypes. Thus, trials comprising 3 × 6 partial diallel of super-sweet (sh2) corn were carried out, according to a short_textrandomized block design (RBD)short_text with four repetitions, in two different environments located in Northern Rio de Janeiro State, Brazil (Itaocara and Campos dos Goytacazes counties). The correlation study showed that traits such as ear diameter and useful short_textearshort_text length contributed the most to increase short_textearshort_text yield (without husk); the variable ear diameter stood out for having stronger direct effect on ear yield, as well as for presenting high heritability (0.95). The trait number of grains per ear row contributed the most to the variation between hybrids, whereas the trait useful ear length contributed the least. The canonical variables showed that the genetic backgrounds of sh2-gene donor populations had effect on recurrent populations, even after five backcrossing cycles, thus resulting in the formation of two divergent groups.
publishDate 2018
dc.date.none.fl_str_mv 2018-12-01
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=S0006-87052018000400536
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052018000400536
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1678-4499.2017340
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 Instituto Agronômico de Campinas
publisher.none.fl_str_mv Instituto Agronômico de Campinas
dc.source.none.fl_str_mv Bragantia v.77 n.4 2018
reponame:Bragantia
instname:Instituto Agronômico de Campinas (IAC)
instacron:IAC
instname_str Instituto Agronômico de Campinas (IAC)
instacron_str IAC
institution IAC
reponame_str Bragantia
collection Bragantia
repository.name.fl_str_mv Bragantia - Instituto Agronômico de Campinas (IAC)
repository.mail.fl_str_mv bragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br
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