High genetic differentiation of grapevine rootstock varieties determined by molecular markers and artificial neural networks

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dc.creatorMarcia Oliveira Costa
dc.creatorLivia Santos Capel
dc.creatorCarlos Maldonado
dc.creatorFreddy Mora
dc.creatorClaudete Aparecida Mangolin
dc.creatorMaria de Fátima Pires da Silva Machado
dc.date2020
dc.date.accessioned2026-07-07T03:52:32Z
dc.descriptionThe genetic differentiation of grapevine rootstock varieties was inferred by the Artificial Neural Network approach based on the Self-Organizing Map algorithm. A combination of RAPD and SSR molecular markers, yielding polymorphic informative loci, was used to determine the genetic characterization among the rootstock varieties 420-A, Schwarzmann, IAC-766 Campinas, Traviú, Kober 5BB, and IAC-572 Jales. A neural network algorithm, based on allelic frequency, showed that the individual grapevine rootstocks (n = 64) were grouped into three genetically differentiated clusters. Cluster 1 included only the Kober 5BB rootstock, Cluster 2 included rootstocks of the varieties Traviú and IAC-572, and Cluster 3 included 420-A, Schwarzmann and IAC-766 plants. Evidence from the current study indicates that, despite the morphological similarities of the 420-A and Kober 5BB varieties, which share the same genetic origin, two new varieties were generated that are genetically divergent and show differences in performance.
dc.formatapplication/pdf
dc.identifier1679-9275
dc.identifierhttps://www.redalyc.org/articulo.oa?id=303062597011
dc.identifierhttps://www.redalyc.org/journal/3030/303062597011/
dc.identifierhttps://www.redalyc.org/journal/3030/303062597011/html/
dc.identifierhttps://www.redalyc.org/journal/3030/303062597011/303062597011.epub
dc.identifierhttps://www.redalyc.org/journal/3030/303062597011/movil
dc.identifier10.4025/actasciagron.v42i1.43475
dc.identifier.urihttp://hdl.handle.net/123456789/445709
dc.languageen
dc.publisherUniversidade Estadual de Maringá
dc.relationhttp://www.redalyc.org/revista.oa?id=3030
dc.rightsActa Scientiarum. Agronomy
dc.sourceActa Scientiarum. Agronomy (Brasil) Vol.42
dc.subjectAgrociencias
dc.titleHigh genetic differentiation of grapevine rootstock varieties determined by molecular markers and artificial neural networks
dc.typeartículo científico

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Acta Scientiarum. Agronomy - Universidade Estadual de Maringá