Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1125174
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dc.contributor.authorFERRÃO, L. F. V.
dc.contributor.authorCAIXETA, E. T.
dc.contributor.authorCRUZ, C. D.
dc.contributor.authorSOUZA, F. de F.
dc.contributor.authorFERRAO, M. A. G.
dc.contributor.authorZAMBOLIM, Z.
dc.contributor.authorSAKIYAMA, N. S.
dc.date.accessioned2020-09-30T09:12:36Z-
dc.date.available2020-09-30T09:12:36Z-
dc.date.created2020-09-29
dc.date.issued2014
dc.identifier.citationPlant Systematics and Evolution, v. 300, n. 7, p. 1649-1661, 2014.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1125174-
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.
dc.language.isoeng
dc.rightsopenAccesseng
dc.subjectCodominant markers
dc.subjectDominant markers Germplasm
dc.subjectSSR STRUCTURE
dc.subjectCafé canéfora
dc.subjectCafé conilon
dc.subjectMarcadores dominantes
dc.subjectDiversidade genética
dc.subjectCoffee
dc.titleThe effects of encoding data in diversity studies and the applicability of the weighting index approach for data analysis from different molecular markers.
dc.typeArtigo de periódico
dc.subject.thesagroCafé
dc.subject.thesagroMarcador molecular
dc.subject.thesagroCoffea Canephora
riaa.ainfo.id1125174
riaa.ainfo.lastupdate2020-09-29
dc.identifier.doi10.1007/s00606-014-09903
dc.contributor.institutionL. F. V. Ferrão, Universidade Federal de Viçosa; EVELINE TEIXEIRA CAIXETA MOURA, CNPCa; 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.
Aparece nas coleções:Artigo em periódico indexado (SAPC)

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