Correlations and genetic parameters in maize hybrids

Detalhes bibliográficos
Autor(a) principal: Ribeiro, Larissa Pereira
Data de Publicação: 2016
Outros Autores: Teodoro, Paulo Eduardo, Corrêa, Caio Cézar Guedes, Oliveira, Elisa Pereira de, Silva, Flavia Alves da, Torres, Francisco Eduardo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bioscience journal (Online)
Texto Completo: https://seer.ufu.br/index.php/biosciencejournal/article/view/29388
Resumo: The study of the genetic control of agronomic traits and heritage through estimates of genetic parameters of a population allows inferences about its genetic variability and which can be expected of gain with selection. Know the correlations among traits of interest for selection allows to the breeder know the degree of association among traits of economic importance, given that the selection of certain trait changes the behavior of the other. With the aim to estimate genetic parameters and identify agronomic traits correlated with the grain yield of maize hybrids, an experiment was conducted at the State University of Mato Grosso do Sul - University Unit of Aquidauana (UEMS/UUA). The experimental design was a randomized block with four replications. Treatments consisted of 20 maize hybrids. The traits evaluated were: plant height, first ear height, stem diameter, ear diameter, ear length, number of rows per ear, number of kernels per row, hundred grain weight and grain yield. The hybrids XB9010, P30F53, 20A78HX, XB6012, P3340, AG9010 and XB7253, obtained the highest grain yield and mass of one hundred grains. The population has a genetic variability and potential for selection of all traits. Based on the evaluated genetic parameters, mass of hundred grains can be used at the direct selection of genotypes with high grain yield.
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spelling Correlations and genetic parameters in maize hybrids morphological traitsproductive componentsZea mays L.Agricultural SciencesThe study of the genetic control of agronomic traits and heritage through estimates of genetic parameters of a population allows inferences about its genetic variability and which can be expected of gain with selection. Know the correlations among traits of interest for selection allows to the breeder know the degree of association among traits of economic importance, given that the selection of certain trait changes the behavior of the other. With the aim to estimate genetic parameters and identify agronomic traits correlated with the grain yield of maize hybrids, an experiment was conducted at the State University of Mato Grosso do Sul - University Unit of Aquidauana (UEMS/UUA). The experimental design was a randomized block with four replications. Treatments consisted of 20 maize hybrids. The traits evaluated were: plant height, first ear height, stem diameter, ear diameter, ear length, number of rows per ear, number of kernels per row, hundred grain weight and grain yield. The hybrids XB9010, P30F53, 20A78HX, XB6012, P3340, AG9010 and XB7253, obtained the highest grain yield and mass of one hundred grains. The population has a genetic variability and potential for selection of all traits. Based on the evaluated genetic parameters, mass of hundred grains can be used at the direct selection of genotypes with high grain yield.EDUFU2016-01-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/2938810.14393/BJ-v32n1a2016-29388Bioscience Journal ; Vol. 32 No. 1 (2016): Jan./Feb.; 48-54Bioscience Journal ; v. 32 n. 1 (2016): Jan./Feb.; 48-541981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/29388/17750Brazil; ContemporaryCopyright (c) 2016 Larissa Pereira Ribeiro, Paulo Eduardo Teodoro, Caio Cézar Guedes Corrêa, Elisa Pereira de Oliveira, Flavia Alves da Silva, Francisco Eduardo Torreshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessRibeiro, Larissa PereiraTeodoro, Paulo EduardoCorrêa, Caio Cézar GuedesOliveira, Elisa Pereira deSilva, Flavia Alves daTorres, Francisco Eduardo2022-02-23T11:15:14Zoai:ojs.www.seer.ufu.br:article/29388Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-02-23T11:15:14Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Correlations and genetic parameters in maize hybrids
title Correlations and genetic parameters in maize hybrids
spellingShingle Correlations and genetic parameters in maize hybrids
Ribeiro, Larissa Pereira
morphological traits
productive components
Zea mays L.
Agricultural Sciences
title_short Correlations and genetic parameters in maize hybrids
title_full Correlations and genetic parameters in maize hybrids
title_fullStr Correlations and genetic parameters in maize hybrids
title_full_unstemmed Correlations and genetic parameters in maize hybrids
title_sort Correlations and genetic parameters in maize hybrids
author Ribeiro, Larissa Pereira
author_facet Ribeiro, Larissa Pereira
Teodoro, Paulo Eduardo
Corrêa, Caio Cézar Guedes
Oliveira, Elisa Pereira de
Silva, Flavia Alves da
Torres, Francisco Eduardo
author_role author
author2 Teodoro, Paulo Eduardo
Corrêa, Caio Cézar Guedes
Oliveira, Elisa Pereira de
Silva, Flavia Alves da
Torres, Francisco Eduardo
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Ribeiro, Larissa Pereira
Teodoro, Paulo Eduardo
Corrêa, Caio Cézar Guedes
Oliveira, Elisa Pereira de
Silva, Flavia Alves da
Torres, Francisco Eduardo
dc.subject.por.fl_str_mv morphological traits
productive components
Zea mays L.
Agricultural Sciences
topic morphological traits
productive components
Zea mays L.
Agricultural Sciences
description The study of the genetic control of agronomic traits and heritage through estimates of genetic parameters of a population allows inferences about its genetic variability and which can be expected of gain with selection. Know the correlations among traits of interest for selection allows to the breeder know the degree of association among traits of economic importance, given that the selection of certain trait changes the behavior of the other. With the aim to estimate genetic parameters and identify agronomic traits correlated with the grain yield of maize hybrids, an experiment was conducted at the State University of Mato Grosso do Sul - University Unit of Aquidauana (UEMS/UUA). The experimental design was a randomized block with four replications. Treatments consisted of 20 maize hybrids. The traits evaluated were: plant height, first ear height, stem diameter, ear diameter, ear length, number of rows per ear, number of kernels per row, hundred grain weight and grain yield. The hybrids XB9010, P30F53, 20A78HX, XB6012, P3340, AG9010 and XB7253, obtained the highest grain yield and mass of one hundred grains. The population has a genetic variability and potential for selection of all traits. Based on the evaluated genetic parameters, mass of hundred grains can be used at the direct selection of genotypes with high grain yield.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-20
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/29388
10.14393/BJ-v32n1a2016-29388
url https://seer.ufu.br/index.php/biosciencejournal/article/view/29388
identifier_str_mv 10.14393/BJ-v32n1a2016-29388
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/29388/17750
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Brazil; Contemporary
dc.publisher.none.fl_str_mv EDUFU
publisher.none.fl_str_mv EDUFU
dc.source.none.fl_str_mv Bioscience Journal ; Vol. 32 No. 1 (2016): Jan./Feb.; 48-54
Bioscience Journal ; v. 32 n. 1 (2016): Jan./Feb.; 48-54
1981-3163
reponame:Bioscience journal (Online)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Bioscience journal (Online)
collection Bioscience journal (Online)
repository.name.fl_str_mv Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv biosciencej@ufu.br||
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