Genotypic superiority of Psidium Guajava S1 families using mixed modeling for truncated and simultaneous selection

Detalhes bibliográficos
Autor(a) principal: Ambrósio,Moisés
Data de Publicação: 2021
Outros Autores: Viana,Alexandre Pio, Ribeiro,Rodrigo Moreira, Preisigke,Sandra Costa, Cavalcante,Natan Ramos, Silva,Flavia Alves da, Torres,Géssica Xavier, Sousa,Carlos Misael Bezerra de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162021000201101
Resumo: ABSTRACT: The purpose of this study was to conduct selection, genetic parameter estimation, and prediction of genetic values for 18 S1 families of guava trees using mixed model methodology and simultaneous selection of traits by means of the additive selection index, multiplicative selection index, and mean rank adapted from Mulamba. All families analyzed were obtained by means of self-fertilization of superior genotypes (full siblings) from the genetic breeding program of guava trees at the Universidade Estadual do Norte Fluminense. An experimental randomized block design with 18 S1 families, three replicates, and ten plants per plot was used. A total of 540 genotypes (individual plants) of guava tree were evaluated. Genetic parameter estimation and selection of the best genotypes based on the genetic value were performed using the statistical procedure, from the Selegen-REML/BLUP program. The analyses of the additive selection index, multiplicative selection index, and the sum of rank adapted from Mulamba were also performed under the Selegen program. During the evaluation by the individual BLUPs, families 1, 12, 4, 6, and 8 contributed to most of the genotypes selected for the traits under evaluation, suggesting their significant potential to generate high quality and high yield genotypes. In the selection indexes via mixed models, the multiplicative index showed higher values for genetic gains (74 %), followed by the mean rank index adapted from Mulamba (19 %), and the additive index (2 %).
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spelling Genotypic superiority of Psidium Guajava S1 families using mixed modeling for truncated and simultaneous selectioninbreedingguava treemixed modelsbreedingABSTRACT: The purpose of this study was to conduct selection, genetic parameter estimation, and prediction of genetic values for 18 S1 families of guava trees using mixed model methodology and simultaneous selection of traits by means of the additive selection index, multiplicative selection index, and mean rank adapted from Mulamba. All families analyzed were obtained by means of self-fertilization of superior genotypes (full siblings) from the genetic breeding program of guava trees at the Universidade Estadual do Norte Fluminense. An experimental randomized block design with 18 S1 families, three replicates, and ten plants per plot was used. A total of 540 genotypes (individual plants) of guava tree were evaluated. Genetic parameter estimation and selection of the best genotypes based on the genetic value were performed using the statistical procedure, from the Selegen-REML/BLUP program. The analyses of the additive selection index, multiplicative selection index, and the sum of rank adapted from Mulamba were also performed under the Selegen program. During the evaluation by the individual BLUPs, families 1, 12, 4, 6, and 8 contributed to most of the genotypes selected for the traits under evaluation, suggesting their significant potential to generate high quality and high yield genotypes. In the selection indexes via mixed models, the multiplicative index showed higher values for genetic gains (74 %), followed by the mean rank index adapted from Mulamba (19 %), and the additive index (2 %).Escola Superior de Agricultura "Luiz de Queiroz"2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162021000201101Scientia Agricola v.78 n.2 2021reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/1678-992x-2019-0179info:eu-repo/semantics/openAccessAmbrósio,MoisésViana,Alexandre PioRibeiro,Rodrigo MoreiraPreisigke,Sandra CostaCavalcante,Natan RamosSilva,Flavia Alves daTorres,Géssica XavierSousa,Carlos Misael Bezerra deeng2020-04-07T00:00:00Zoai:scielo:S0103-90162021000201101Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2020-04-07T00:00Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Genotypic superiority of Psidium Guajava S1 families using mixed modeling for truncated and simultaneous selection
title Genotypic superiority of Psidium Guajava S1 families using mixed modeling for truncated and simultaneous selection
spellingShingle Genotypic superiority of Psidium Guajava S1 families using mixed modeling for truncated and simultaneous selection
Ambrósio,Moisés
inbreeding
guava tree
mixed models
breeding
title_short Genotypic superiority of Psidium Guajava S1 families using mixed modeling for truncated and simultaneous selection
title_full Genotypic superiority of Psidium Guajava S1 families using mixed modeling for truncated and simultaneous selection
title_fullStr Genotypic superiority of Psidium Guajava S1 families using mixed modeling for truncated and simultaneous selection
title_full_unstemmed Genotypic superiority of Psidium Guajava S1 families using mixed modeling for truncated and simultaneous selection
title_sort Genotypic superiority of Psidium Guajava S1 families using mixed modeling for truncated and simultaneous selection
author Ambrósio,Moisés
author_facet Ambrósio,Moisés
Viana,Alexandre Pio
Ribeiro,Rodrigo Moreira
Preisigke,Sandra Costa
Cavalcante,Natan Ramos
Silva,Flavia Alves da
Torres,Géssica Xavier
Sousa,Carlos Misael Bezerra de
author_role author
author2 Viana,Alexandre Pio
Ribeiro,Rodrigo Moreira
Preisigke,Sandra Costa
Cavalcante,Natan Ramos
Silva,Flavia Alves da
Torres,Géssica Xavier
Sousa,Carlos Misael Bezerra de
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Ambrósio,Moisés
Viana,Alexandre Pio
Ribeiro,Rodrigo Moreira
Preisigke,Sandra Costa
Cavalcante,Natan Ramos
Silva,Flavia Alves da
Torres,Géssica Xavier
Sousa,Carlos Misael Bezerra de
dc.subject.por.fl_str_mv inbreeding
guava tree
mixed models
breeding
topic inbreeding
guava tree
mixed models
breeding
description ABSTRACT: The purpose of this study was to conduct selection, genetic parameter estimation, and prediction of genetic values for 18 S1 families of guava trees using mixed model methodology and simultaneous selection of traits by means of the additive selection index, multiplicative selection index, and mean rank adapted from Mulamba. All families analyzed were obtained by means of self-fertilization of superior genotypes (full siblings) from the genetic breeding program of guava trees at the Universidade Estadual do Norte Fluminense. An experimental randomized block design with 18 S1 families, three replicates, and ten plants per plot was used. A total of 540 genotypes (individual plants) of guava tree were evaluated. Genetic parameter estimation and selection of the best genotypes based on the genetic value were performed using the statistical procedure, from the Selegen-REML/BLUP program. The analyses of the additive selection index, multiplicative selection index, and the sum of rank adapted from Mulamba were also performed under the Selegen program. During the evaluation by the individual BLUPs, families 1, 12, 4, 6, and 8 contributed to most of the genotypes selected for the traits under evaluation, suggesting their significant potential to generate high quality and high yield genotypes. In the selection indexes via mixed models, the multiplicative index showed higher values for genetic gains (74 %), followed by the mean rank index adapted from Mulamba (19 %), and the additive index (2 %).
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=S0103-90162021000201101
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162021000201101
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1678-992x-2019-0179
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 Escola Superior de Agricultura "Luiz de Queiroz"
publisher.none.fl_str_mv Escola Superior de Agricultura "Luiz de Queiroz"
dc.source.none.fl_str_mv Scientia Agricola v.78 n.2 2021
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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