dc.creatorPestana, R.K.N.
dc.creatorAmorim, E.P.
dc.creatorFerreira, C.F.
dc.creatorAmorim, V.B.O.
dc.creatorOliveira, L.S.
dc.creatorLedo, C.A.S.
dc.creatorSilva, S.O.
dc.date2017-11-01T18:18:44Z
dc.date2017-11-01T18:18:44Z
dc.date2011-10-25
dc.date.accessioned2023-09-27T21:46:08Z
dc.date.available2023-09-27T21:46:08Z
dc.identifier16765680
dc.identifierhttp://dx.doi.org/10.4238/2011.October.25.2
dc.identifierhttp://www.locus.ufv.br/handle/123456789/12747
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8965845
dc.descriptionBananas are among the most important fruit crops worldwide, being cultivated in more than 120 countries, mainly by small-scale producers. However, short-stature high-yielding bananas presenting good agronomic characteristics are hard to find. Consequently, wind continues to damage a great number of plantations each year, leading to lodging of plants and bunch loss. Development of new cultivars through conventional genetic breeding methods is hindered by female sterility and the low number of seeds. Mutation induction seems to have great potential for the development of new cultivars. We evaluated genetic dissimilarity among putative 'Preciosa' banana mutants generated by gamma-ray irradiation, using morphoagronomic characteristics and ISSR markers. The genetic distances between the putative 'Preciosa' mutants varied from 0.21 to 0.66, with a cophenetic correlation coefficient of 0.8064. We found good variability after irradiation of 'Preciosa' bananas; this procedure could be useful for banana breeding programs aimed at developing short-stature varieties with good agronomic characteristics.
dc.formatpdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherGenetics and Molecular Research
dc.relation10(4), p. 3976-3986, Oct. 2011
dc.rightsOpen Access
dc.subjectGamma-rays
dc.subjectWard-MLM
dc.subjectMutation induction
dc.subjectGenetic variability
dc.subjectISSR markers
dc.titleGenetic dissimilarity of putative gamma-ray- induced ‘Preciosa - AAAB-Pome type’ banana (Musa sp) mutants based on multivariate statistical analysis
dc.typeArtigo


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