Discriminant analysis in the selection of groups of peach cultivars
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , |
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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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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1799965670608207872 |