Por favor, use este identificador para citar o enlazar este ítem: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1172280
Registro completo de metadatos
Campo DCValorLengua/Idioma
dc.contributor.authorCAPISTRANO, M. da C.
dc.contributor.authorBRITO, R. S. de
dc.contributor.authorANDRADE NETO, R. de C.
dc.contributor.authorSANTOS, V. B. dos
dc.contributor.authorLESSA, L. S.
dc.contributor.authorRESENDE, M. D. V. de
dc.contributor.authorGURGEL, F. de L.
dc.date.accessioned2025-02-03T15:51:43Z-
dc.date.available2025-02-03T15:51:43Z-
dc.date.created2025-02-03
dc.date.issued2025
dc.identifier.citationComunicata Scientiae, v. 16, e4203, 2025.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1172280-
dc.descriptionThe 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.
dc.language.isoeng
dc.rightsopenAccess
dc.titleRepeatability of quantitative characteristics in sweet orange through mixed-model methodology.
dc.typeArtigo de periódico
dc.subject.thesagroCitrus Sinensis
dc.subject.thesagroProdutividade
dc.subject.thesagroLaranja Doce
dc.subject.thesagroGenótipo
riaa.ainfo.id1172280
riaa.ainfo.lastupdate2025-02-03
dc.identifier.doihttps://doi.org/10.14295/cs.v16.4203
dc.contributor.institutionMÁRCIA 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.
Aparece en las colecciones:Artigo em periódico indexado (CPATC)

Ficheros en este ítem:
Fichero Descripción TamañoFormato 
Repeatability-of-quantitative-characteristics.2024.pdf413.05 kBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro sencillo del ítem

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace