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. de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1085408
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.REMLThe 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.C. F. B. Sanchéz, Universidad Nacional de Colombia; R. S. Alves, UFV; A. d. P. Garcia, Universidad Nacional de Colombia; P. E. Teodoro, UFV; L. A. Peixoto, UFV; L. A. Silva, UFV; L. L. Bhering, UFV; MARCOS DEON VILELA DE RESENDE, CNPF.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. de2018-01-15T23:24:40Z2018-01-15T23:24:40Z2018-01-1520172018-01-15T23:24:40Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article8 p.Genetics and Molecular Research, v. 16, n. 3, gmr16039753, 2017.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1085408enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2018-01-15T23:24:47Zoai:www.alice.cnptia.embrapa.br:doc/1085408Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542018-01-15T23:24:47falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542018-01-15T23:24:47Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)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.
REML
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. de
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. de
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv C. F. B. Sanchéz, Universidad Nacional de Colombia; R. S. Alves, UFV; A. d. P. Garcia, Universidad Nacional de Colombia; P. E. Teodoro, UFV; L. A. Peixoto, UFV; L. A. Silva, UFV; L. L. Bhering, UFV; MARCOS DEON VILELA DE RESENDE, CNPF.
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. de
dc.subject.por.fl_str_mv REML
topic REML
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
2018-01-15T23:24:40Z
2018-01-15T23:24:40Z
2018-01-15
2018-01-15T23:24:40Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Genetics and Molecular Research, v. 16, n. 3, gmr16039753, 2017.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1085408
identifier_str_mv Genetics and Molecular Research, v. 16, n. 3, gmr16039753, 2017.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1085408
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 8 p.
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instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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