Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/981805
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dc.contributor.authorFERRÃO, L. F. V.pt_BR
dc.contributor.authorCAIXETA, E. T.pt_BR
dc.contributor.authorCRUZ, C. D.pt_BR
dc.contributor.authorSOUZA, F. de F.pt_BR
dc.contributor.authorFERRAO, M. A. G.pt_BR
dc.contributor.authorZAMBOLIM, Z.pt_BR
dc.contributor.authorSAKIYAMA, N. S.pt_BR
dc.date.accessioned2015-03-27T06:24:41Z-
dc.date.available2015-03-27T06:24:41Z-
dc.date.created2014-03-07pt_BR
dc.date.issued2014pt_BR
dc.identifier.citationPlant Systematics and Evolution, New York, v. 300, p.1649-1661, feb. 2014.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/981805pt_BR
dc.descriptionThe use of molecular markers to study genetic diversity represents a breakthrough in this area, because of the increase in polymorphism levels and phenotypic neutrality. Codominant markers, such as microsatellites (SSR), are sensitive enough to distinguish the heterozygotes in genetic studies. Despite this advantage, there are some studies that ignore this feature and work with encoded data because of the simplicity of the evaluation, existence of polyploids and need for the combined analysis of different types of molecular markers. Thus, our study aims to investigate the consequences of these encodings on simulated and real data. In addition, we suggest an alternative analysis for genetic evaluations using different molecular markers. For the simulated data, we proposed the following two scenarios: the first uses SNP markers, and the second SSR markers. For real data, we used the SSR genotyping data from Coffea canephora accessions maintained in the Embrapa Germplasm Collection. The genetic diversity was studied using cluster analysis, the dissimilarity index, and the Bayesian approach implemented in the STRUCTURE software. For the simulated data, we observed a loss of genetic information to the encoded data in both scenarios. The same result was observed in the coffee studies. This loss of information was discussed in the context of a plantbreeding program, and the consequences were weighted to germplasm evaluations and the selection of parents for hybridization. In the studies that involved different types of markers, an alternative to the combined analysis is discussed, where the informativeness, coverage and quality of markers are weighted in the genetic diversity studies.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectCodominant markerspt_BR
dc.subjectDominant markers Germplasmpt_BR
dc.subjectSSR STRUCTUREpt_BR
dc.subjectCafé canéforapt_BR
dc.subjectCafé conilonpt_BR
dc.subjectMarcadores dominantespt_BR
dc.subjectDiversidade genéticapt_BR
dc.subjectCoffeept_BR
dc.titleThe effects of encoding data in diversity studies and the applicability of the weighting index approach for data analysis from different molecular markers.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2015-03-27T06:24:41Zpt_BR
dc.subject.thesagroCafépt_BR
dc.subject.thesagroMarcador molecularpt_BR
dc.subject.thesagroCoffea Canephorapt_BR
riaa.ainfo.id981805pt_BR
riaa.ainfo.lastupdate2015-03-26pt_BR
dc.identifier.doi10.1007/s00606-014-09903pt_BR
dc.contributor.institutionL. F. V. Ferrão, Universidade Federal de Viçosa; E. T. Caixeta, BIOCAFÉ, Universidade Federal de Viçosa; C. D. Cruz, Universidade Federal de Viçosa; FLAVIO DE FRANCA SOUZA, CPATSA; MARIA AMELIA GAVA FERRAO, SAPC; L. Zambolim, Universidade Federal de Viçosa; N. S. Sakiyama, Universidade Federal de Viçosa.pt_BR
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