Estimates of repeatability coefficients and the number of the optimum measure to select superior genotypes in Annona muricata L.

Detalhes bibliográficos
Autor(a) principal: Sanchéz, C.F.B.
Data de Publicação: 2017
Outros Autores: Alves, R.S., Garcia, A.D.P., Teodoro, P.E., Peixoto, L.A., Silva, L.A., Bhering, L.L., Resende, M.D.V.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: LOCUS Repositório Institucional da UFV
Texto Completo: http://dx.doi.org/10.4238/gmr16039753
http://www.locus.ufv.br/handle/123456789/16385
Resumo: The aim of this study was to evaluate repeated measures over the years to estimate repeatability coefficient and the number of the optimum measure to select superior genotypes in Annona muricata L. The fruit production was evaluated over 16 years in 71 genotypes without an experimental design. The estimation of variance components and the prediction of the permanent phenotypic value were performed using REML/BLUP proceedings. The coefficient of determination, accuracy, and selective efficiency increased when measures increased. The coefficient of determination of 80% was reached beyond 8 crop seasons with high accuracy and selective efficiency. Thus, the evaluation of 8 crop seasons can be suitable to select superior genotypes in the A. muricata L. breeding program. Predicted selection gain had a high magnitude for fruit production indicating that it is possible to take a progressive genetic advance for this trait over cycle breeding.
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spelling Estimates of repeatability coefficients and the number of the optimum measure to select superior genotypes in Annona muricata L.SoursopREMLMixed modelsLongitudinal dataGenetic selectionThe aim of this study was to evaluate repeated measures over the years to estimate repeatability coefficient and the number of the optimum measure to select superior genotypes in Annona muricata L. The fruit production was evaluated over 16 years in 71 genotypes without an experimental design. The estimation of variance components and the prediction of the permanent phenotypic value were performed using REML/BLUP proceedings. The coefficient of determination, accuracy, and selective efficiency increased when measures increased. The coefficient of determination of 80% was reached beyond 8 crop seasons with high accuracy and selective efficiency. Thus, the evaluation of 8 crop seasons can be suitable to select superior genotypes in the A. muricata L. breeding program. Predicted selection gain had a high magnitude for fruit production indicating that it is possible to take a progressive genetic advance for this trait over cycle breeding.Genetics and Molecular Research2018-01-16T16:50:21Z2018-01-16T16:50:21Z2017-09-21info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlepdfapplication/pdf16765680http://dx.doi.org/10.4238/gmr16039753http://www.locus.ufv.br/handle/123456789/16385engv.16, n. 3, gmr16039753, Sep. 2017Sanchéz, C.F.B.Alves, R.S.Garcia, A.D.P.Teodoro, P.E.Peixoto, L.A.Silva, L.A.Bhering, L.L.Resende, M.D.V.info:eu-repo/semantics/openAccessreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFV2024-07-12T06:36:40Zoai:locus.ufv.br:123456789/16385Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452024-07-12T06:36:40LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv Estimates of repeatability coefficients and the number of the optimum measure to select superior genotypes in Annona muricata L.
title Estimates of repeatability coefficients and the number of the optimum measure to select superior genotypes in Annona muricata L.
spellingShingle Estimates of repeatability coefficients and the number of the optimum measure to select superior genotypes in Annona muricata L.
Sanchéz, C.F.B.
Soursop
REML
Mixed models
Longitudinal data
Genetic selection
title_short Estimates of repeatability coefficients and the number of the optimum measure to select superior genotypes in Annona muricata L.
title_full Estimates of repeatability coefficients and the number of the optimum measure to select superior genotypes in Annona muricata L.
title_fullStr Estimates of repeatability coefficients and the number of the optimum measure to select superior genotypes in Annona muricata L.
title_full_unstemmed Estimates of repeatability coefficients and the number of the optimum measure to select superior genotypes in Annona muricata L.
title_sort Estimates of repeatability coefficients and the number of the optimum measure to select superior genotypes in Annona muricata L.
author Sanchéz, C.F.B.
author_facet Sanchéz, C.F.B.
Alves, R.S.
Garcia, A.D.P.
Teodoro, P.E.
Peixoto, L.A.
Silva, L.A.
Bhering, L.L.
Resende, M.D.V.
author_role author
author2 Alves, R.S.
Garcia, A.D.P.
Teodoro, P.E.
Peixoto, L.A.
Silva, L.A.
Bhering, L.L.
Resende, M.D.V.
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Sanchéz, C.F.B.
Alves, R.S.
Garcia, A.D.P.
Teodoro, P.E.
Peixoto, L.A.
Silva, L.A.
Bhering, L.L.
Resende, M.D.V.
dc.subject.por.fl_str_mv Soursop
REML
Mixed models
Longitudinal data
Genetic selection
topic Soursop
REML
Mixed models
Longitudinal data
Genetic selection
description The aim of this study was to evaluate repeated measures over the years to estimate repeatability coefficient and the number of the optimum measure to select superior genotypes in Annona muricata L. The fruit production was evaluated over 16 years in 71 genotypes without an experimental design. The estimation of variance components and the prediction of the permanent phenotypic value were performed using REML/BLUP proceedings. The coefficient of determination, accuracy, and selective efficiency increased when measures increased. The coefficient of determination of 80% was reached beyond 8 crop seasons with high accuracy and selective efficiency. Thus, the evaluation of 8 crop seasons can be suitable to select superior genotypes in the A. muricata L. breeding program. Predicted selection gain had a high magnitude for fruit production indicating that it is possible to take a progressive genetic advance for this trait over cycle breeding.
publishDate 2017
dc.date.none.fl_str_mv 2017-09-21
2018-01-16T16:50:21Z
2018-01-16T16:50:21Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv 16765680
http://dx.doi.org/10.4238/gmr16039753
http://www.locus.ufv.br/handle/123456789/16385
identifier_str_mv 16765680
url http://dx.doi.org/10.4238/gmr16039753
http://www.locus.ufv.br/handle/123456789/16385
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv v.16, n. 3, gmr16039753, Sep. 2017
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv pdf
application/pdf
dc.publisher.none.fl_str_mv Genetics and Molecular Research
publisher.none.fl_str_mv Genetics and Molecular Research
dc.source.none.fl_str_mv reponame:LOCUS Repositório Institucional da UFV
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str LOCUS Repositório Institucional da UFV
collection LOCUS Repositório Institucional da UFV
repository.name.fl_str_mv LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv fabiojreis@ufv.br
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