Development and selection of super-sweet corn genotypes (sh2) through multivariate approaches
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , |
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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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 |
_version_ |
1754193306708869120 |