Selection of maize hybrids: an approach with multi-trait, multi-environment, and ideotype-design
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , |
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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Crop Breeding and Applied Biotechnology |
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|
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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 |
_version_ |
1754209188401119232 |