Mean components for choosing maize populations to extract inbred lines

Detalhes bibliográficos
Autor(a) principal: Resende,Ewerton Lélys
Data de Publicação: 2020
Outros Autores: Pinho,Renzo Garcia Von, Silva,Eric Vinicius Vieira, Massitela,João Júlio, Souza,Vander Fillipe de, Souza,João Lucas Dias
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência e Agrotecnologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542020000100243
Resumo: ABSTRACT The choice of germplasm is one of the most important phases of a genetic improvement program to the fact that it is the initial development stage of superior hybrids. Hence, the objectives of this study were to obtain the estimates of m+a and d, and inbreeding depression for grain yield and plant height traits, for cultivars lacking this information, and thus to predict the potential of maize hybrids for the extraction of lines. The F1 and F2 generations of 12 maize hybrids were tested at two sites, during the crop years of 2017-18 and 2018-19, accounting for four environments. Both the generations were evaluated in contiguous experiments in randomized blocks design with three and two repetitions during the years 2017-18 and 2018-19, respectively. The data on plant height and grain yield were collected, per plot, from both the generations, utilizing which, the m+a and d mean components were estimated. The effects of dominance had greater importance for the character grain yield. The most promising hybrids for extraction of lines were AG1051, AG8025, BG7046, DKB455, and OMEGA due to their greater estimates of m+a. The hybrids AG8025 and BG7046 were associated with high values of m+a and grain yield. For the plant height trait, there was a greater contribution of additive effects. Therefore, greater inbreeding depression was observed for the grain yield trait when compared to the height of the plant.
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spelling Mean components for choosing maize populations to extract inbred linesZea mays, L.heterosisinbreeding depression.ABSTRACT The choice of germplasm is one of the most important phases of a genetic improvement program to the fact that it is the initial development stage of superior hybrids. Hence, the objectives of this study were to obtain the estimates of m+a and d, and inbreeding depression for grain yield and plant height traits, for cultivars lacking this information, and thus to predict the potential of maize hybrids for the extraction of lines. The F1 and F2 generations of 12 maize hybrids were tested at two sites, during the crop years of 2017-18 and 2018-19, accounting for four environments. Both the generations were evaluated in contiguous experiments in randomized blocks design with three and two repetitions during the years 2017-18 and 2018-19, respectively. The data on plant height and grain yield were collected, per plot, from both the generations, utilizing which, the m+a and d mean components were estimated. The effects of dominance had greater importance for the character grain yield. The most promising hybrids for extraction of lines were AG1051, AG8025, BG7046, DKB455, and OMEGA due to their greater estimates of m+a. The hybrids AG8025 and BG7046 were associated with high values of m+a and grain yield. For the plant height trait, there was a greater contribution of additive effects. Therefore, greater inbreeding depression was observed for the grain yield trait when compared to the height of the plant.Editora da UFLA2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542020000100243Ciência e Agrotecnologia v.44 2020reponame:Ciência e Agrotecnologia (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLA10.1590/1413-7054202044017820info:eu-repo/semantics/openAccessResende,Ewerton LélysPinho,Renzo Garcia VonSilva,Eric Vinicius VieiraMassitela,João JúlioSouza,Vander Fillipe deSouza,João Lucas Diaseng2020-11-18T00:00:00Zoai:scielo:S1413-70542020000100243Revistahttp://www.scielo.br/cagroPUBhttps://old.scielo.br/oai/scielo-oai.php||renpaiva@dbi.ufla.br|| editora@editora.ufla.br1981-18291413-7054opendoar:2022-11-22T16:31:43.080038Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv Mean components for choosing maize populations to extract inbred lines
title Mean components for choosing maize populations to extract inbred lines
spellingShingle Mean components for choosing maize populations to extract inbred lines
Resende,Ewerton Lélys
Zea mays, L.
heterosis
inbreeding depression.
title_short Mean components for choosing maize populations to extract inbred lines
title_full Mean components for choosing maize populations to extract inbred lines
title_fullStr Mean components for choosing maize populations to extract inbred lines
title_full_unstemmed Mean components for choosing maize populations to extract inbred lines
title_sort Mean components for choosing maize populations to extract inbred lines
author Resende,Ewerton Lélys
author_facet Resende,Ewerton Lélys
Pinho,Renzo Garcia Von
Silva,Eric Vinicius Vieira
Massitela,João Júlio
Souza,Vander Fillipe de
Souza,João Lucas Dias
author_role author
author2 Pinho,Renzo Garcia Von
Silva,Eric Vinicius Vieira
Massitela,João Júlio
Souza,Vander Fillipe de
Souza,João Lucas Dias
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Resende,Ewerton Lélys
Pinho,Renzo Garcia Von
Silva,Eric Vinicius Vieira
Massitela,João Júlio
Souza,Vander Fillipe de
Souza,João Lucas Dias
dc.subject.por.fl_str_mv Zea mays, L.
heterosis
inbreeding depression.
topic Zea mays, L.
heterosis
inbreeding depression.
description ABSTRACT The choice of germplasm is one of the most important phases of a genetic improvement program to the fact that it is the initial development stage of superior hybrids. Hence, the objectives of this study were to obtain the estimates of m+a and d, and inbreeding depression for grain yield and plant height traits, for cultivars lacking this information, and thus to predict the potential of maize hybrids for the extraction of lines. The F1 and F2 generations of 12 maize hybrids were tested at two sites, during the crop years of 2017-18 and 2018-19, accounting for four environments. Both the generations were evaluated in contiguous experiments in randomized blocks design with three and two repetitions during the years 2017-18 and 2018-19, respectively. The data on plant height and grain yield were collected, per plot, from both the generations, utilizing which, the m+a and d mean components were estimated. The effects of dominance had greater importance for the character grain yield. The most promising hybrids for extraction of lines were AG1051, AG8025, BG7046, DKB455, and OMEGA due to their greater estimates of m+a. The hybrids AG8025 and BG7046 were associated with high values of m+a and grain yield. For the plant height trait, there was a greater contribution of additive effects. Therefore, greater inbreeding depression was observed for the grain yield trait when compared to the height of the plant.
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
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542020000100243
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542020000100243
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1413-7054202044017820
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 Editora da UFLA
publisher.none.fl_str_mv Editora da UFLA
dc.source.none.fl_str_mv Ciência e Agrotecnologia v.44 2020
reponame:Ciência e Agrotecnologia (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Ciência e Agrotecnologia (Online)
collection Ciência e Agrotecnologia (Online)
repository.name.fl_str_mv Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv ||renpaiva@dbi.ufla.br|| editora@editora.ufla.br
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