Yield related key traits in the selection of super sweetcorn hybrids
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Bragantia |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052021000100231 |
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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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 |
_version_ |
1754193308082503680 |