1. RI UFLA
  2. Escola de Ciências Agrárias de Lavras - ESAL
  3. Departamento de Agricultura - DAG
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Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/30247
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dc.creatorSilva, Adriano Alves da-
dc.creatorVon Pinho, Édila Vilela de Resende-
dc.creatorPereira, Laís Andrade-
dc.creatorCarvalho, Bruna Line-
dc.creatorSantos, Heloísa Oliveira dos-
dc.creatorGuimarães, Renato Mendes-
dc.date.accessioned2018-08-30T11:22:58Z-
dc.date.available2018-08-30T11:22:58Z-
dc.date.issued2016-08-
dc.identifier.citationSILVA, A. A. da et al. Enzymatic and microsatellite markers for the characterization of millet cultivars. International Journal of Current Research, [S.l.], v. 8, n. 8, p. 36623-36628, Aug. 2016.pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/30247-
dc.description.abstractIn this study the objective was to characterize millet cultivars through enzymes and microsatellite markers and select microsatellite primers and enzymatic systems to identify cultivars. Twelve millet cultivars, which were tested in seven enzymatic systems (ADH, CAT, EST, GOT, MDH, IDH and ACP) and 123 pairs of microsatellite primers were evaluated. By the enzymes ACP and CAT was not observed sufficient polymorphism to cultivars differentiation. Sixty pairs of microsatellite primers were selected. About the enzymatic systems evaluated, EST presented more polymorphic to distinguish cultivars. By the primers PSMP2008, PSMP2045 and PSMP2056 is possible to distinguish all cultivars used in this study. It is possible to identify millet cultivars by means of enzymes and microsatellite markers.pt_BR
dc.languageen_USpt_BR
dc.rightsAttribution 4.0 International*
dc.rightsacesso abertopt_BR
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceInternational Journal of Current Researchpt_BR
dc.subjectPennisetum glaucumpt_BR
dc.subjectGenetic puritypt_BR
dc.subjectFingerprintingpt_BR
dc.titleEnzymatic and microsatellite markers for the characterization of millet cultivarspt_BR
dc.typeArtigopt_BR
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