Repeatability of quantitative characteristics in sweet orange through mixed-model methodology.

The objective was to estimate the repeatability coefficient of quantitative traits in multiple harvests of sweet orange, in order to infer the minimum number of evaluations necessary to identify superior genotypes of orange trees through the methodology of mixed models. The experiment was conducted...

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Autores: CAPISTRANO, M. da C., BRITO, R. S. de, ANDRADE NETO, R. de C., SANTOS, V. B. dos, LESSA, L. S., RESENDE, M. D. V. de, GURGEL, F. de L.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:Brasil
Institución:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
Repositorio:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Idioma:inglés
OAI Identifier:oai:www.alice.cnptia.embrapa.br:doc/1172280
Acceso en línea:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1172280
https://doi.org/10.14295/cs.v16.4203
Access Level:acceso abierto
Palabra clave:Citrus Sinensis
Produtividade
Laranja Doce
Genótipo
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spelling Repeatability of quantitative characteristics in sweet orange through mixed-model methodology.Citrus SinensisProdutividadeLaranja DoceGenótipoThe objective was to estimate the repeatability coefficient of quantitative traits in multiple harvests of sweet orange, in order to infer the minimum number of evaluations necessary to identify superior genotypes of orange trees through the methodology of mixed models. The experiment was conducted in randomized blocks containing 55 sweet orange genotypes and three replications. The repeatability coefficients were estimated using the maximum residual likelihood method (REML) and the prediction of genotypic values using the best unbiased linear predictor (BLUP). The Selegen software was used to perform the statistical analysis. The average heritability of genotypes in eight seasons, individual and eight seasons repeatability, selection accuracy in one and eight seasons, repeatability determination coefficient, accuracy of permanent phenotypic values based on M years of assessment and efficiency of M assessments compared to situation where only one assessment is carried out. The predictive accuracy of the selection revealed a significant degree of certainty in the inferences made. Evaluation over six seasons can increase accuracy to 70% in selecting sweet orange genotypes for yield-related traits. For the prediction of average fruit mass, seven harvests are enough to obtain 80% accuracy.MÁRCIA DA COSTA CAPISTRANO, UNIVERSIDADE FEDERAL DO ACRE; RYCHAELLEN SILVA DE BRITO, INSTITUTO FEDERAL DO ACRE; ROMEU DE CARVALHO ANDRADE NETO, CPATC; VANDERLEY BORGES DOS SANTOS, UNIVERSIDADE FEDERAL DO ACRE; LAURO SARAIVA LESSA, CPAF-AC; MARCOS DEON VILELA DE RESENDE, CNPCA; FABIO DE LIMA GURGEL, CPATU.2025-02-03T15:51:43Z2025-02-03T15:51:43Z2025-02-032025info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleComunicata Scientiae, v. 16, e4203, 2025.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1172280https://doi.org/10.14295/cs.v16.4203enginfo: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:EMBRAPACAPISTRANO, M. da C.BRITO, R. S. deANDRADE NETO, R. de C.SANTOS, V. B. dosLESSA, L. S.RESENDE, M. D. V. deGURGEL, F. de L.2025-03-16T07:14:14Zoai:www.alice.cnptia.embrapa.br:doc/1172280Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542025-03-16T07:14:14Repositório 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 Repeatability of quantitative characteristics in sweet orange through mixed-model methodology.
title Repeatability of quantitative characteristics in sweet orange through mixed-model methodology.
spellingShingle Repeatability of quantitative characteristics in sweet orange through mixed-model methodology.
CAPISTRANO, M. da C.
Citrus Sinensis
Produtividade
Laranja Doce
Genótipo
title_short Repeatability of quantitative characteristics in sweet orange through mixed-model methodology.
title_full Repeatability of quantitative characteristics in sweet orange through mixed-model methodology.
title_fullStr Repeatability of quantitative characteristics in sweet orange through mixed-model methodology.
title_full_unstemmed Repeatability of quantitative characteristics in sweet orange through mixed-model methodology.
title_sort Repeatability of quantitative characteristics in sweet orange through mixed-model methodology.
dc.creator.none.fl_str_mv CAPISTRANO, M. da C.
BRITO, R. S. de
ANDRADE NETO, R. de C.
SANTOS, V. B. dos
LESSA, L. S.
RESENDE, M. D. V. de
GURGEL, F. de L.
author CAPISTRANO, M. da C.
author_facet CAPISTRANO, M. da C.
BRITO, R. S. de
ANDRADE NETO, R. de C.
SANTOS, V. B. dos
LESSA, L. S.
RESENDE, M. D. V. de
GURGEL, F. de L.
author_role author
author2 BRITO, R. S. de
ANDRADE NETO, R. de C.
SANTOS, V. B. dos
LESSA, L. S.
RESENDE, M. D. V. de
GURGEL, F. de L.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv MÁRCIA DA COSTA CAPISTRANO, UNIVERSIDADE FEDERAL DO ACRE; RYCHAELLEN SILVA DE BRITO, INSTITUTO FEDERAL DO ACRE; ROMEU DE CARVALHO ANDRADE NETO, CPATC; VANDERLEY BORGES DOS SANTOS, UNIVERSIDADE FEDERAL DO ACRE; LAURO SARAIVA LESSA, CPAF-AC; MARCOS DEON VILELA DE RESENDE, CNPCA; FABIO DE LIMA GURGEL, CPATU.
dc.subject.por.fl_str_mv Citrus Sinensis
Produtividade
Laranja Doce
Genótipo
topic Citrus Sinensis
Produtividade
Laranja Doce
Genótipo
description The objective was to estimate the repeatability coefficient of quantitative traits in multiple harvests of sweet orange, in order to infer the minimum number of evaluations necessary to identify superior genotypes of orange trees through the methodology of mixed models. The experiment was conducted in randomized blocks containing 55 sweet orange genotypes and three replications. The repeatability coefficients were estimated using the maximum residual likelihood method (REML) and the prediction of genotypic values using the best unbiased linear predictor (BLUP). The Selegen software was used to perform the statistical analysis. The average heritability of genotypes in eight seasons, individual and eight seasons repeatability, selection accuracy in one and eight seasons, repeatability determination coefficient, accuracy of permanent phenotypic values based on M years of assessment and efficiency of M assessments compared to situation where only one assessment is carried out. The predictive accuracy of the selection revealed a significant degree of certainty in the inferences made. Evaluation over six seasons can increase accuracy to 70% in selecting sweet orange genotypes for yield-related traits. For the prediction of average fruit mass, seven harvests are enough to obtain 80% accuracy.
publishDate 2025
dc.date.none.fl_str_mv 2025-02-03T15:51:43Z
2025-02-03T15:51:43Z
2025-02-03
2025
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 Comunicata Scientiae, v. 16, e4203, 2025.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1172280
https://doi.org/10.14295/cs.v16.4203
identifier_str_mv Comunicata Scientiae, v. 16, e4203, 2025.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1172280
https://doi.org/10.14295/cs.v16.4203
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.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
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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score 15,228081

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