Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1072711
Registro completo de metadados
Campo DCValorIdioma
dc.contributor.authorAZEVEDO, C. F.
dc.contributor.authorRESENDE, M. D. V. de
dc.contributor.authorSILVA, F. F.
dc.contributor.authorVIANA, J. M. S.
dc.contributor.authorVALENTE, M. S. F.
dc.contributor.authorRESENDE JUNIOR, M. F. R.
dc.contributor.authorOLIVEIRA, E. J. de
dc.date.accessioned2018-01-03T23:18:24Z-
dc.date.available2018-01-03T23:18:24Z-
dc.date.created2017-07-14
dc.date.issued2016
dc.identifier.citationGenetics and Molecular Research, v. 15, n. 4, gmr.15048838, Oct. 2016.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1072711-
dc.descriptionABSTRACT. Genomic selection is the main force driving applied breeding programs and accuracy is the main measure for evaluating its efficiency. The traditional estimator (TE) of experimental accuracy is not fully adequate. This study proposes and evaluates the performance and efficiency of two new accuracy estimators, called regularized estimator (RE) and hybrid estimator (HE), which were applied to a practical cassava breeding program and also to simulated data. The simulation study considered two individual narrow sense heritability levels and two genetic architectures for traits. TE, RE, and HE were compared under four validation procedures: without validation (WV), independent validation, ten-fold validation through jacknife allowing different markers, and with the same markers selected in each cycle. RE presented accuracies closer to the parametric ones and less biased and more precise ones than TE. HE proved to be very effective in the WV procedure. The estimators were applied to five traits evaluated in a cassava experiment, including 358 clones genotyped for 390 SNPs. Accuracies ranged from 0.67 to 1.12 with TE and from 0.22 to 0.51 with RE. These results indicated that TE overestimated the accuracy and led to one accuracy estimate (1.12) higher than one, which is outside of the parameter space. Use of RE turned the accuracy into the parameter space. Cassava breeding programs can be more realistically implemented using the new estimators proposed in this study, providing less risky practical inferences.
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectSeleção genômica
dc.subjectGenomic prediction
dc.subjectAccuracy estimator
dc.subjectCross-validation
dc.titleNew accuracy estimators for genomic selection with application in a cassava (Manihot esculenta) breeding program.
dc.typeArtigo de periódico
dc.date.updated2018-01-03T23:18:24Zpt_BR
dc.subject.thesagroManihot esculenta
dc.subject.thesagroMandioca
dc.subject.thesagroMelhoramento vegetal
dc.subject.nalthesaurusCassava
dc.subject.nalthesaurusPlant breeding
riaa.ainfo.id1072711
riaa.ainfo.lastupdate2018-01-03
dc.identifier.doi10.4238/gmr.15048838
dc.contributor.institutionC. F. Azevedo, Departamento de Estatística, Universidade Federal de Viçosa; MARCOS DEON VILELA DE RESENDE, CNPF; F. F. Silva, Departamento de Zootecnia, Universidade Federal de Viçosa; J. M. S. Viana, Departamento de Biologia Geral, Universidade Federal de Viçosa; M. S. F. Valente, Departamento de Biologia Geral, Universidade Federal de Viçosa; M. F. R. Resende Junior, RAPID Genomics, Florida; EDER JORGE DE OLIVEIRA, CNPMF.
Aparece nas coleções:Artigo em periódico indexado (CNPF)

Arquivos associados a este item:
Arquivo Descrição TamanhoFormato 
2016M.DeonGMRNewAccuracy.pdf1.29 MBAdobe PDFThumbnail
Visualizar/Abrir
Mostrar registro simples do item Visualizar estatísticas

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace