Selection of maize hybrids: an approach with multi-trait, multi-environment, and ideotype-design

Detalhes bibliográficos
Autor(a) principal: Peixoto,Marco Antônio
Data de Publicação: 2021
Outros Autores: Coelho,Igor Ferreira, Evangelista,Jeniffer Santana Pinto Coelho, Santos,Suellen Sales de Oliveira, Alves,Rodrigo Silva, Pinto,Jefferson Fernando Naves, Reis,Edésio Fialho dos, Bhering,Leonardo Lopes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Crop Breeding and Applied Biotechnology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332021000200201
Resumo: Abstract: The present study aimed to evaluate the applicability and efficiency of the FAI-BLUP index in the genetic selection of maize hybrids, using 84 maize hybrids that were evaluated for cycle, morphology, and yield traits in four environments. Models accounting for homogeneous and heterogeneous residual variances were tested, and variance components were estimated using the residual maximum likelihood. Genotypic values were predicted by best linear unbiased prediction, and factor analysis was applied to group the traits. The FAI-BLUP index was used for the selection of maize hybrids based on ideotype design. Three factors explained more than 70% of genotypic variability, with selective accuracies varying from low (0.46) to high (0.99). Predicted genetic gains were positive for traits related to yield and negative for traits related to cycle and morphology, as is desirable in maize crop.
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spelling Selection of maize hybrids: an approach with multi-trait, multi-environment, and ideotype-designFAI-BLUP indexfactor analysisresidual variance structuresmultivariate analysisgenetic selection.Abstract: The present study aimed to evaluate the applicability and efficiency of the FAI-BLUP index in the genetic selection of maize hybrids, using 84 maize hybrids that were evaluated for cycle, morphology, and yield traits in four environments. Models accounting for homogeneous and heterogeneous residual variances were tested, and variance components were estimated using the residual maximum likelihood. Genotypic values were predicted by best linear unbiased prediction, and factor analysis was applied to group the traits. The FAI-BLUP index was used for the selection of maize hybrids based on ideotype design. Three factors explained more than 70% of genotypic variability, with selective accuracies varying from low (0.46) to high (0.99). Predicted genetic gains were positive for traits related to yield and negative for traits related to cycle and morphology, as is desirable in maize crop.Crop Breeding and Applied Biotechnology2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332021000200201Crop Breeding and Applied Biotechnology v.21 n.2 2021reponame:Crop Breeding and Applied Biotechnologyinstname:Sociedade Brasileira de Melhoramento de Plantasinstacron:CBAB10.1590/1984-70332021v21n2a31info:eu-repo/semantics/openAccessPeixoto,Marco AntônioCoelho,Igor FerreiraEvangelista,Jeniffer Santana Pinto CoelhoSantos,Suellen Sales de OliveiraAlves,Rodrigo SilvaPinto,Jefferson Fernando NavesReis,Edésio Fialho dosBhering,Leonardo Lopeseng2021-09-09T00:00:00Zoai:scielo:S1984-70332021000200201Revistahttps://cbab.sbmp.org.br/#ONGhttps://old.scielo.br/oai/scielo-oai.phpcbabjournal@gmail.com||cbab@ufv.br1984-70331518-7853opendoar:2021-09-09T00:00Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantasfalse
dc.title.none.fl_str_mv Selection of maize hybrids: an approach with multi-trait, multi-environment, and ideotype-design
title Selection of maize hybrids: an approach with multi-trait, multi-environment, and ideotype-design
spellingShingle Selection of maize hybrids: an approach with multi-trait, multi-environment, and ideotype-design
Peixoto,Marco Antônio
FAI-BLUP index
factor analysis
residual variance structures
multivariate analysis
genetic selection.
title_short Selection of maize hybrids: an approach with multi-trait, multi-environment, and ideotype-design
title_full Selection of maize hybrids: an approach with multi-trait, multi-environment, and ideotype-design
title_fullStr Selection of maize hybrids: an approach with multi-trait, multi-environment, and ideotype-design
title_full_unstemmed Selection of maize hybrids: an approach with multi-trait, multi-environment, and ideotype-design
title_sort Selection of maize hybrids: an approach with multi-trait, multi-environment, and ideotype-design
author Peixoto,Marco Antônio
author_facet Peixoto,Marco Antônio
Coelho,Igor Ferreira
Evangelista,Jeniffer Santana Pinto Coelho
Santos,Suellen Sales de Oliveira
Alves,Rodrigo Silva
Pinto,Jefferson Fernando Naves
Reis,Edésio Fialho dos
Bhering,Leonardo Lopes
author_role author
author2 Coelho,Igor Ferreira
Evangelista,Jeniffer Santana Pinto Coelho
Santos,Suellen Sales de Oliveira
Alves,Rodrigo Silva
Pinto,Jefferson Fernando Naves
Reis,Edésio Fialho dos
Bhering,Leonardo Lopes
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Peixoto,Marco Antônio
Coelho,Igor Ferreira
Evangelista,Jeniffer Santana Pinto Coelho
Santos,Suellen Sales de Oliveira
Alves,Rodrigo Silva
Pinto,Jefferson Fernando Naves
Reis,Edésio Fialho dos
Bhering,Leonardo Lopes
dc.subject.por.fl_str_mv FAI-BLUP index
factor analysis
residual variance structures
multivariate analysis
genetic selection.
topic FAI-BLUP index
factor analysis
residual variance structures
multivariate analysis
genetic selection.
description Abstract: The present study aimed to evaluate the applicability and efficiency of the FAI-BLUP index in the genetic selection of maize hybrids, using 84 maize hybrids that were evaluated for cycle, morphology, and yield traits in four environments. Models accounting for homogeneous and heterogeneous residual variances were tested, and variance components were estimated using the residual maximum likelihood. Genotypic values were predicted by best linear unbiased prediction, and factor analysis was applied to group the traits. The FAI-BLUP index was used for the selection of maize hybrids based on ideotype design. Three factors explained more than 70% of genotypic variability, with selective accuracies varying from low (0.46) to high (0.99). Predicted genetic gains were positive for traits related to yield and negative for traits related to cycle and morphology, as is desirable in maize crop.
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=S1984-70332021000200201
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332021000200201
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1984-70332021v21n2a31
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 Crop Breeding and Applied Biotechnology
publisher.none.fl_str_mv Crop Breeding and Applied Biotechnology
dc.source.none.fl_str_mv Crop Breeding and Applied Biotechnology v.21 n.2 2021
reponame:Crop Breeding and Applied Biotechnology
instname:Sociedade Brasileira de Melhoramento de Plantas
instacron:CBAB
instname_str Sociedade Brasileira de Melhoramento de Plantas
instacron_str CBAB
institution CBAB
reponame_str Crop Breeding and Applied Biotechnology
collection Crop Breeding and Applied Biotechnology
repository.name.fl_str_mv Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantas
repository.mail.fl_str_mv cbabjournal@gmail.com||cbab@ufv.br
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