Yield related key traits in the selection of super sweetcorn hybrids

Detalhes bibliográficos
Autor(a) principal: Zaluski,Welton Luiz
Data de Publicação: 2021
Outros Autores: Faria,Marcos Ventura, Rosa,Jocimar Costa, Uhdre,Renan Santos, Sagae,Vitor Seiti, Chiquito,Nathany Ribeiro, Gava,Emanuel, Paiva,Elida Auxiliadora Peralta, Silva,Paulo Roberto da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bragantia
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052021000100231
Resumo: ABSTRACT Super sweet corn breeding must develop hybrids that fully meet the expectations of the market. In this sense, the determination of keytraits for the selection of sweetcorn genotypes is a fundamental condition for breeding success. The objective of this work was to identify key traits for the selection of promising and contrasting genotypes of super sweet corn. The experiments were carried out in Guarapuava (PR), in two sowing dates. Seventeen traits related to the yield and quality of the ear were evaluated. To perform the multivariate analysis, data were subjected to diagnosis of multicolinearity, analysis of canonical variables, genetic divergence, hierarchical clusters, factor analysis, and canonical correspondence analysis. Grain yield, yield of dehusked ears, and number of commercial ears were considered related key traits in the identification of promising super sweet corn genotypes. Hybrid D3-20 × D5-41 presented higher averages than the others, considering the yield related keytraits.
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spelling Yield related key traits in the selection of super sweetcorn hybridsZea mays varsaccharatamanovamulticolinearitycanonical correspondenceABSTRACT Super sweet corn breeding must develop hybrids that fully meet the expectations of the market. In this sense, the determination of keytraits for the selection of sweetcorn genotypes is a fundamental condition for breeding success. The objective of this work was to identify key traits for the selection of promising and contrasting genotypes of super sweet corn. The experiments were carried out in Guarapuava (PR), in two sowing dates. Seventeen traits related to the yield and quality of the ear were evaluated. To perform the multivariate analysis, data were subjected to diagnosis of multicolinearity, analysis of canonical variables, genetic divergence, hierarchical clusters, factor analysis, and canonical correspondence analysis. Grain yield, yield of dehusked ears, and number of commercial ears were considered related key traits in the identification of promising super sweet corn genotypes. Hybrid D3-20 × D5-41 presented higher averages than the others, considering the yield related keytraits.Instituto Agronômico de Campinas2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052021000100231Bragantia v.80 2021reponame:Bragantiainstname:Instituto Agronômico de Campinas (IAC)instacron:IAC10.1590/1678-4499.20200484info:eu-repo/semantics/openAccessZaluski,Welton LuizFaria,Marcos VenturaRosa,Jocimar CostaUhdre,Renan SantosSagae,Vitor SeitiChiquito,Nathany RibeiroGava,EmanuelPaiva,Elida Auxiliadora PeraltaSilva,Paulo Roberto daeng2021-06-01T00:00:00Zoai:scielo:S0006-87052021000100231Revistahttps://www.scielo.br/j/brag/https://old.scielo.br/oai/scielo-oai.phpbragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br1678-44990006-8705opendoar:2021-06-01T00:00Bragantia - Instituto Agronômico de Campinas (IAC)false
dc.title.none.fl_str_mv Yield related key traits in the selection of super sweetcorn hybrids
title Yield related key traits in the selection of super sweetcorn hybrids
spellingShingle Yield related key traits in the selection of super sweetcorn hybrids
Zaluski,Welton Luiz
Zea mays var
saccharata
manova
multicolinearity
canonical correspondence
title_short Yield related key traits in the selection of super sweetcorn hybrids
title_full Yield related key traits in the selection of super sweetcorn hybrids
title_fullStr Yield related key traits in the selection of super sweetcorn hybrids
title_full_unstemmed Yield related key traits in the selection of super sweetcorn hybrids
title_sort Yield related key traits in the selection of super sweetcorn hybrids
author Zaluski,Welton Luiz
author_facet Zaluski,Welton Luiz
Faria,Marcos Ventura
Rosa,Jocimar Costa
Uhdre,Renan Santos
Sagae,Vitor Seiti
Chiquito,Nathany Ribeiro
Gava,Emanuel
Paiva,Elida Auxiliadora Peralta
Silva,Paulo Roberto da
author_role author
author2 Faria,Marcos Ventura
Rosa,Jocimar Costa
Uhdre,Renan Santos
Sagae,Vitor Seiti
Chiquito,Nathany Ribeiro
Gava,Emanuel
Paiva,Elida Auxiliadora Peralta
Silva,Paulo Roberto da
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Zaluski,Welton Luiz
Faria,Marcos Ventura
Rosa,Jocimar Costa
Uhdre,Renan Santos
Sagae,Vitor Seiti
Chiquito,Nathany Ribeiro
Gava,Emanuel
Paiva,Elida Auxiliadora Peralta
Silva,Paulo Roberto da
dc.subject.por.fl_str_mv Zea mays var
saccharata
manova
multicolinearity
canonical correspondence
topic Zea mays var
saccharata
manova
multicolinearity
canonical correspondence
description ABSTRACT Super sweet corn breeding must develop hybrids that fully meet the expectations of the market. In this sense, the determination of keytraits for the selection of sweetcorn genotypes is a fundamental condition for breeding success. The objective of this work was to identify key traits for the selection of promising and contrasting genotypes of super sweet corn. The experiments were carried out in Guarapuava (PR), in two sowing dates. Seventeen traits related to the yield and quality of the ear were evaluated. To perform the multivariate analysis, data were subjected to diagnosis of multicolinearity, analysis of canonical variables, genetic divergence, hierarchical clusters, factor analysis, and canonical correspondence analysis. Grain yield, yield of dehusked ears, and number of commercial ears were considered related key traits in the identification of promising super sweet corn genotypes. Hybrid D3-20 × D5-41 presented higher averages than the others, considering the yield related keytraits.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
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=S0006-87052021000100231
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052021000100231
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1678-4499.20200484
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.80 2021
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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