Selection indexes for agronomic and chemical traits in segregating sweet corn populations
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Horticultura Brasileira |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-05362020000100071 |
Resumo: | ABSTRACT In the sweet corn breeding, the selection of superior genotypes should consider many traits simultaneously. The best strategy to select traits simultaneously is through selection indexes. This study aimed to compare the efficiency of different selection indexes based on characteristics with direct effect on grain yield in segregating sweet corn populations. Eighteen traits were evaluated in eight sweet corn genotypes on generation F3. Data were submitted to analyses of variance and path coefficient analyses. We compared the direct and indirect selection and the following indexes: base, classical, desired gains and genotype-ideotype distance. According to path coefficient analyses, the traits which showed a direct effect about grain yield (GY) were stand, number of ears, ear diameter, number of grains per row and industrial yield, which composed the indexes. The base index provided the greatest total genetic gain, desired gains on all traits, uniform distribution of the gains and considerable gains on GY. |
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Horticultura Brasileira |
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Selection indexes for agronomic and chemical traits in segregating sweet corn populationsZea mays subsp. sacharattaplant breedingselection gainsimultaneous selection of characteristicABSTRACT In the sweet corn breeding, the selection of superior genotypes should consider many traits simultaneously. The best strategy to select traits simultaneously is through selection indexes. This study aimed to compare the efficiency of different selection indexes based on characteristics with direct effect on grain yield in segregating sweet corn populations. Eighteen traits were evaluated in eight sweet corn genotypes on generation F3. Data were submitted to analyses of variance and path coefficient analyses. We compared the direct and indirect selection and the following indexes: base, classical, desired gains and genotype-ideotype distance. According to path coefficient analyses, the traits which showed a direct effect about grain yield (GY) were stand, number of ears, ear diameter, number of grains per row and industrial yield, which composed the indexes. The base index provided the greatest total genetic gain, desired gains on all traits, uniform distribution of the gains and considerable gains on GY.Associação Brasileira de Horticultura2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-05362020000100071Horticultura Brasileira v.38 n.1 2020reponame:Horticultura Brasileirainstname:Associação Brasileira de Horticultura (ABH)instacron:ABH10.1590/s0102-053620200111info:eu-repo/semantics/openAccessSilva,Marina F eMaciel,Gabriel MFinzi,Rafael RPeixoto,Joicy Vitoria MRezende,Wender SCastoldi,Renataeng2020-03-27T00:00:00Zoai:scielo:S0102-05362020000100071Revistahttp://cms.horticulturabrasileira.com.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||hortbras@gmail.com1806-99910102-0536opendoar:2020-03-27T00:00Horticultura Brasileira - Associação Brasileira de Horticultura (ABH)false |
dc.title.none.fl_str_mv |
Selection indexes for agronomic and chemical traits in segregating sweet corn populations |
title |
Selection indexes for agronomic and chemical traits in segregating sweet corn populations |
spellingShingle |
Selection indexes for agronomic and chemical traits in segregating sweet corn populations Silva,Marina F e Zea mays subsp. sacharatta plant breeding selection gain simultaneous selection of characteristic |
title_short |
Selection indexes for agronomic and chemical traits in segregating sweet corn populations |
title_full |
Selection indexes for agronomic and chemical traits in segregating sweet corn populations |
title_fullStr |
Selection indexes for agronomic and chemical traits in segregating sweet corn populations |
title_full_unstemmed |
Selection indexes for agronomic and chemical traits in segregating sweet corn populations |
title_sort |
Selection indexes for agronomic and chemical traits in segregating sweet corn populations |
author |
Silva,Marina F e |
author_facet |
Silva,Marina F e Maciel,Gabriel M Finzi,Rafael R Peixoto,Joicy Vitoria M Rezende,Wender S Castoldi,Renata |
author_role |
author |
author2 |
Maciel,Gabriel M Finzi,Rafael R Peixoto,Joicy Vitoria M Rezende,Wender S Castoldi,Renata |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Silva,Marina F e Maciel,Gabriel M Finzi,Rafael R Peixoto,Joicy Vitoria M Rezende,Wender S Castoldi,Renata |
dc.subject.por.fl_str_mv |
Zea mays subsp. sacharatta plant breeding selection gain simultaneous selection of characteristic |
topic |
Zea mays subsp. sacharatta plant breeding selection gain simultaneous selection of characteristic |
description |
ABSTRACT In the sweet corn breeding, the selection of superior genotypes should consider many traits simultaneously. The best strategy to select traits simultaneously is through selection indexes. This study aimed to compare the efficiency of different selection indexes based on characteristics with direct effect on grain yield in segregating sweet corn populations. Eighteen traits were evaluated in eight sweet corn genotypes on generation F3. Data were submitted to analyses of variance and path coefficient analyses. We compared the direct and indirect selection and the following indexes: base, classical, desired gains and genotype-ideotype distance. According to path coefficient analyses, the traits which showed a direct effect about grain yield (GY) were stand, number of ears, ear diameter, number of grains per row and industrial yield, which composed the indexes. The base index provided the greatest total genetic gain, desired gains on all traits, uniform distribution of the gains and considerable gains on GY. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
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=S0102-05362020000100071 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-05362020000100071 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/s0102-053620200111 |
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 |
Associação Brasileira de Horticultura |
publisher.none.fl_str_mv |
Associação Brasileira de Horticultura |
dc.source.none.fl_str_mv |
Horticultura Brasileira v.38 n.1 2020 reponame:Horticultura Brasileira instname:Associação Brasileira de Horticultura (ABH) instacron:ABH |
instname_str |
Associação Brasileira de Horticultura (ABH) |
instacron_str |
ABH |
institution |
ABH |
reponame_str |
Horticultura Brasileira |
collection |
Horticultura Brasileira |
repository.name.fl_str_mv |
Horticultura Brasileira - Associação Brasileira de Horticultura (ABH) |
repository.mail.fl_str_mv |
||hortbras@gmail.com |
_version_ |
1754213084322332672 |