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Discriminant analysis in the selection of groups of peach cultivars

dc.contributor.authorMelo, G. W.
dc.contributor.authorRozane, D. E. [UNESP]
dc.contributor.authorBrunetto, G.
dc.contributor.authorLattuada, D. S.
dc.contributor.authorMimmo, T.
dc.contributor.authorPii, Y.
dc.contributor.authorScandellari, F.
dc.contributor.institutionEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Federal de Sergipe (UFS)
dc.contributor.institutionRes Ctr Celeste Gobbato
dc.date.accessioned2019-10-04T12:37:49Z
dc.date.available2019-10-04T12:37:49Z
dc.date.issued2018-01-01
dc.description.abstractBrazil ranks 14th in the world in terms of peach and nectarine production. Of the nearly 211,000 tons total output, the state of Rio Grande do Sul produces 60% of the national production, while southern Brazil accounts for 75%. This indicates that adequate parameters are required to manage the nutritional status of all fruit trees, of which the peach tree is an important component, as well as the performance of long-term experiments under field conditions in several, but often restricted, numbers of cultivars. The nutritional parameters that have been established as adequate can be applied to other cultivars which reveal similar nutritional contents and equivalent demands. Besides productivity, 12 elements (N, P, K, Ca, Mg, S, Cu, Fe, Mn, Zn, Al and Na) were analyzed in leaf tissue samples in 144 commercially cultivated peach orchards in South Rio Grande do Sul, specifically the cultivars of Chimarrita, Chiripa, Delanona, Eragil, Fascinio, Kampai, Pialo, PS10711, PS-Tardia and Sao Barbosa. Group analysis employing the Wilks' Lambda test (F=9.29; p<0.01) revealed differences among the groups. Nutrients like Cu, Zn, K, Mg, Ca and N were found to most significantly influence growth and formed the three main axes for distinguishing among the groups, whereas nutrients like S, P and Mn, showed the least contribution. The nutritional profiles of the peach cultivars can be categorized in homogeneous groups to benefit from the fertilizer trials. Cluster analysis can be instrumental in the diagnosis and nutrient management of peach trees.en
dc.description.affiliationEmpresa Brasileira Pesquisa Agr, Bento Goncalves, RS, Brazil
dc.description.affiliationUniv Estadual Paulista, Registro, SP, Brazil
dc.description.affiliationUniv Fed Santa Maria, Santa Maria, RS, Brazil
dc.description.affiliationRes Ctr Celeste Gobbato, Caxias Do Sul, RS, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Registro, SP, Brazil
dc.format.extent335-342
dc.identifierhttp://dx.doi.org/10.17660/ActaHortic.2018.1217.42
dc.identifier.citationViii International Symposium On Mineral Nutrition Of Fruit Crops. Leuven 1: Int Soc Horticultural Science, v. 1217, p. 335-342, 2018.
dc.identifier.doi10.17660/ActaHortic.2018.1217.42
dc.identifier.issn0567-7572
dc.identifier.urihttp://hdl.handle.net/11449/185697
dc.identifier.wosWOS:000467244200042
dc.language.isoeng
dc.publisherInt Soc Horticultural Science
dc.relation.ispartofViii International Symposium On Mineral Nutrition Of Fruit Crops
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectPrunus persica
dc.subjectfruit
dc.subjectnutrition
dc.subjectcompositional nutrient
dc.titleDiscriminant analysis in the selection of groups of peach cultivarsen
dc.typeTrabalho apresentado em evento
dcterms.rightsHolderInt Soc Horticultural Science
dspace.entity.typePublication
unesp.departmentEngenharia Agronômica - FCAVRpt

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