Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1103399
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dc.contributor.authorMELO, G. W. B. deeng
dc.contributor.authorROZANE, D. E.eng
dc.contributor.authorBRUNETTO, G.eng
dc.contributor.authorLATTUADA, D. S.eng
dc.date.accessioned2019-04-12T00:42:35Z-
dc.date.available2019-04-12T00:42:35Z-
dc.date.created2019-01-09
dc.date.issued2018
dc.identifier.citationActa Horticulturae, v. 1217, p. 335-342, 2018. Publicado no ISHS Acta Horticulturae 1217: VIII International Symposium on Mineral Nutrition of Fruit Crops, 2018.eng
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1103399-
dc.descriptionBrazil 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, Chiripá, Delanona, Eragil, Fascínio, Kampai, Pialo, PS10711, PS-Tardia and São 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. Keywords: Prunus persica, fruit, nutrition, compositional nutrienteng
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectFruiteng
dc.subjectCompositional nutrienteng
dc.subjectPeach cultivarseng
dc.titleDiscriminant analysis in the selection of groups of peach cultivars.eng
dc.typeArtigo de periódicoeng
dc.date.updated2019-04-27T11:11:11Z
dc.subject.thesagroPrunus Persicaeng
dc.subject.nalthesaurusNutritioneng
dc.subject.nalthesaurusPeacheseng
dc.subject.nalthesaurusNectarineseng
dc.description.notesProjeto Fapergs: Desenvolvimento de software para avaliação da composição nutricional do pessegueiro cultivado na região da Serra Gaúcha Número do processo: 1244-2551/15-4 -eng
riaa.ainfo.id1103399eng
riaa.ainfo.lastupdate2019-04-27 -03:00:00
dc.identifier.doi10.17660/ActaHortic.2018.1217.42eng
dc.contributor.institutionGEORGE WELLINGTON BASTOS DE MELO, CNPUVeng
dc.contributor.institutionD. E. Rozane, Universidade Estadual Paulista “Ju?lio de Mesquita Filhoeng
dc.contributor.institutionG. Brunetto, Federal University of Santa Maria, Santa Maria, Rio Grande do Sul, Brazileng
dc.contributor.institutionD. S. Lattuada, Research Center Celeste Gobbato, Caxias do Sul, Rio Grande do Sul, Brazil.eng
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