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This study employed Amplified Fragment Length Polymorphism to investigate the genetic variation in local banana plants from farmer’s fields. Forty-four rhizomes (selected from a total of 860 plants for being stable for production) were used as plant material and 6 primer combinations selected in a previous report were used. Polymorphic fragments present in a given genotype were assigned 1 and those absent were assigned 0. The matrix generated was analyzed [ver mas...]
dc.contributor.authorErmini, José Luis
dc.contributor.authorTenaglia, Gerardo Carlos
dc.contributor.authorPratta, Guillermo Raúl
dc.date.accessioned2019-01-15T14:07:30Z
dc.date.available2019-01-15T14:07:30Z
dc.date.issued2018-11-30
dc.identifier.issn2158-2742
dc.identifier.issn2158-2750
dc.identifier.otherhttps://doi.org/10.4236/ajps.2018.912181
dc.identifier.urihttp://hdl.handle.net/20.500.12123/4268
dc.identifier.urihttps://www.scirp.org/journal/PaperInformation.aspx?PaperID=88868
dc.description.abstractThis study employed Amplified Fragment Length Polymorphism to investigate the genetic variation in local banana plants from farmer’s fields. Forty-four rhizomes (selected from a total of 860 plants for being stable for production) were used as plant material and 6 primer combinations selected in a previous report were used. Polymorphic fragments present in a given genotype were assigned 1 and those absent were assigned 0. The matrix generated was analyzed by univariate and multivariate analysis. A total 540 bands were scored, of which 100% were polymorphic. The number of the pattern duplicated bands was 23 and twenty-one amplicons were exclusive to banana plants collected in the same farmer’s field. Hierarchical clustering and principal coordinates analyses showed differences between genotypes. The cophenetic correlation of the cluster was 0.63 while the 18% of the total molecular variation was explained by the two principal coordinates. These analyses evidence genetic diversity of the crop according to farmer’s field. In agreement to this observation, analysis of molecular variance revealed that 8.9% of the variation was found among farmer populations and 91.1% within farmer populations. In conclusion, introduction of banana into the subtropical zone was associated with a broader genetic variation in order to increase the genetic homeostasis necessary for adapting the crop to the suboptimal environment of Northeastern Argentinean Formosa Province.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherScientific Research Publishinges_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceAmerican Journal of Plant Sciences /Scientific Research Publishing 9 (12) : 2504-2513 (2018).es_AR
dc.subjectPlant Genetic Resourceseng
dc.subjectMusaes_AR
dc.subjectBananoes_AR
dc.subjectRecursos Genéticos Vegetaleses_AR
dc.subjectSubtropical Zoneseng
dc.subjectZona Subtropicales_AR
dc.subjectClones
dc.subjectBananaseng
dc.subjectAnálisis Multivariante
dc.subjectMultivariate Analysiseng
dc.subject.otherAutotriploidyeng
dc.subject.otherMolecular Characterizationeng
dc.subject.otherFormosa, Argentinaes_AR
dc.subject.otherArgentinaes_AR
dc.subject.otherCaracterización Moleculares_AR
dc.subject.otherDiversidad Moleculares_AR
dc.titleMolecular Diversity in Selected Banana Clones (Musa AAA “Cavendish”) : adapted to the Subtropical Environment of Formosa Province (Argentina)es_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.description.origenInvestigación y Desarrollo Tecnológico para la Agricultura Familiar Región NEAes_AR
dc.description.filFil: Ermini, José Luis. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Departamento de Biología. Cátedra de Genética; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentinaes_AR
dc.description.filFil: Tenaglia, Gerardo Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Investigación y Desarrollo Tecnológico para la Agricultura Familiar Región NEA; Argentinaes_AR
dc.description.filFil: Pratta, Guillermo Raúl. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Departamento de Biología. Cátedra de Genética; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Departamento de Biología. Cátedra de Genética; Argentinaes_AR


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