Discriminant analysis in the selection of groups of peach cultivars

Detalhes bibliográficos
Autor(a) principal: Melo, G. W.
Data de Publicação: 2018
Outros Autores: Rozane, D. E. [UNESP], Brunetto, G., Lattuada, D. S., Mimmo, T., Pii, Y., Scandellari, F.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.17660/ActaHortic.2018.1217.42
http://hdl.handle.net/11449/185697
Resumo: Brazil 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.
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spelling Discriminant analysis in the selection of groups of peach cultivarsPrunus persicafruitnutritioncompositional nutrientBrazil 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.Empresa Brasileira Pesquisa Agr, Bento Goncalves, RS, BrazilUniv Estadual Paulista, Registro, SP, BrazilUniv Fed Santa Maria, Santa Maria, RS, BrazilRes Ctr Celeste Gobbato, Caxias Do Sul, RS, BrazilUniv Estadual Paulista, Registro, SP, BrazilInt Soc Horticultural ScienceEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Universidade Estadual Paulista (Unesp)Universidade Federal de Sergipe (UFS)Res Ctr Celeste GobbatoMelo, G. W.Rozane, D. E. [UNESP]Brunetto, G.Lattuada, D. S.Mimmo, T.Pii, Y.Scandellari, F.2019-10-04T12:37:49Z2019-10-04T12:37:49Z2018-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject335-342http://dx.doi.org/10.17660/ActaHortic.2018.1217.42Viii International Symposium On Mineral Nutrition Of Fruit Crops. Leuven 1: Int Soc Horticultural Science, v. 1217, p. 335-342, 2018.0567-7572http://hdl.handle.net/11449/18569710.17660/ActaHortic.2018.1217.42WOS:000467244200042Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengViii International Symposium On Mineral Nutrition Of Fruit Cropsinfo:eu-repo/semantics/openAccess2024-05-03T13:21:03Zoai:repositorio.unesp.br:11449/185697Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-05-03T13:21:03Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Discriminant analysis in the selection of groups of peach cultivars
title Discriminant analysis in the selection of groups of peach cultivars
spellingShingle Discriminant analysis in the selection of groups of peach cultivars
Melo, G. W.
Prunus persica
fruit
nutrition
compositional nutrient
title_short Discriminant analysis in the selection of groups of peach cultivars
title_full Discriminant analysis in the selection of groups of peach cultivars
title_fullStr Discriminant analysis in the selection of groups of peach cultivars
title_full_unstemmed Discriminant analysis in the selection of groups of peach cultivars
title_sort Discriminant analysis in the selection of groups of peach cultivars
author Melo, G. W.
author_facet Melo, G. W.
Rozane, D. E. [UNESP]
Brunetto, G.
Lattuada, D. S.
Mimmo, T.
Pii, Y.
Scandellari, F.
author_role author
author2 Rozane, D. E. [UNESP]
Brunetto, G.
Lattuada, D. S.
Mimmo, T.
Pii, Y.
Scandellari, F.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
Universidade Estadual Paulista (Unesp)
Universidade Federal de Sergipe (UFS)
Res Ctr Celeste Gobbato
dc.contributor.author.fl_str_mv Melo, G. W.
Rozane, D. E. [UNESP]
Brunetto, G.
Lattuada, D. S.
Mimmo, T.
Pii, Y.
Scandellari, F.
dc.subject.por.fl_str_mv Prunus persica
fruit
nutrition
compositional nutrient
topic Prunus persica
fruit
nutrition
compositional nutrient
description Brazil 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.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-01
2019-10-04T12:37:49Z
2019-10-04T12:37:49Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.17660/ActaHortic.2018.1217.42
Viii International Symposium On Mineral Nutrition Of Fruit Crops. Leuven 1: Int Soc Horticultural Science, v. 1217, p. 335-342, 2018.
0567-7572
http://hdl.handle.net/11449/185697
10.17660/ActaHortic.2018.1217.42
WOS:000467244200042
url http://dx.doi.org/10.17660/ActaHortic.2018.1217.42
http://hdl.handle.net/11449/185697
identifier_str_mv Viii International Symposium On Mineral Nutrition Of Fruit Crops. Leuven 1: Int Soc Horticultural Science, v. 1217, p. 335-342, 2018.
0567-7572
10.17660/ActaHortic.2018.1217.42
WOS:000467244200042
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Viii International Symposium On Mineral Nutrition Of Fruit Crops
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 335-342
dc.publisher.none.fl_str_mv Int Soc Horticultural Science
publisher.none.fl_str_mv Int Soc Horticultural Science
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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