Determination of the standard leaf for nutritional diagnosis of assai palm plants
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/0100-29452022078 http://hdl.handle.net/11449/240125 |
Resumo: | Assai palm is the main palm tree grown in the Brazilian Amazon. Nutritional diagnosis has become an essential tool in management of the crop. The aim of this study was to determine the standard leaf for nutritional diagnosis of the assai palm tree through evaluation of leaf nutrient content and use of two methods of statistical analyses: traditional (univariate) and multivariate. The study was conducted in the municipality of Belém, with eight treatments: the phyllotaxic positions of the leaves (number 2 to 9), in a completely randomized design. The leaf concentration of nutrients (N, P, K, Ca, Mg, S, B, Cu, Fe, Mn and Zn) was determined for performing descriptive analyses, analyses of variance, correlation analysis, and principal component analysis (PCA). Young leaves had greater concentrations of N, P, K, Mg, S, Cu, and Zn, whereas in the older leaves, there were greater concentrations of Ca, B, Fe, and Mn. The leaves that exhibited less variation in nutrient concentrations were from 2 to 5. PCA analysis indicated interaction of positive loads of N-P and Cu-Mg and interaction of negative loads of Ca-Mn. The index of nutrient distribution indicated leaf number 5 as having the lowest factor loading value. Thus, leaf number 5 is most recommended for nutritional diagnosis of assai palm plants through sampling of 25 plants. |
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Repositório Institucional da UNESP |
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Determination of the standard leaf for nutritional diagnosis of assai palm plantsDeterminação da folha padrão para diagnóstico nutricional do Açaizeirodiagnostic leafEuterpe oleracea Martleaf samplingnutritional stateplant nutritionAssai palm is the main palm tree grown in the Brazilian Amazon. Nutritional diagnosis has become an essential tool in management of the crop. The aim of this study was to determine the standard leaf for nutritional diagnosis of the assai palm tree through evaluation of leaf nutrient content and use of two methods of statistical analyses: traditional (univariate) and multivariate. The study was conducted in the municipality of Belém, with eight treatments: the phyllotaxic positions of the leaves (number 2 to 9), in a completely randomized design. The leaf concentration of nutrients (N, P, K, Ca, Mg, S, B, Cu, Fe, Mn and Zn) was determined for performing descriptive analyses, analyses of variance, correlation analysis, and principal component analysis (PCA). Young leaves had greater concentrations of N, P, K, Mg, S, Cu, and Zn, whereas in the older leaves, there were greater concentrations of Ca, B, Fe, and Mn. The leaves that exhibited less variation in nutrient concentrations were from 2 to 5. PCA analysis indicated interaction of positive loads of N-P and Cu-Mg and interaction of negative loads of Ca-Mn. The index of nutrient distribution indicated leaf number 5 as having the lowest factor loading value. Thus, leaf number 5 is most recommended for nutritional diagnosis of assai palm plants through sampling of 25 plants.Federal Rural University of the Amazon – Campus Capanema, PAEmbrapa Eastern Amazon, PAAgronomy (Soil Science) of Paulista State University ‘’Júlio Mesquita Filho, SPFederal Rural University of the Amazon, Campus Capitão Poço, PAFederal Rural University of the Amazon Cyberspace Institute, PAAgronomy (Soil Science) of Paulista State University ‘’Júlio Mesquita Filho, SPFederal Rural University of the Amazon – Campus CapanemaEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Universidade Estadual Paulista (UNESP)Federal Rural University of the AmazonCyberspace InstituteViégas, Ismael de Jesus MatosMuller, Antônio AgostinhoCosta, Milton Garcia [UNESP]Ferreira, Eric Victor de OliveiraPinheiro, Daniel PereiraCampos, Pedro Silvestre da Silva2023-03-01T20:02:33Z2023-03-01T20:02:33Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1590/0100-29452022078Revista Brasileira de Fruticultura, v. 44, n. 3, 2022.0100-2945http://hdl.handle.net/11449/24012510.1590/0100-294520220782-s2.0-85130725226Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRevista Brasileira de Fruticulturainfo:eu-repo/semantics/openAccess2023-03-01T20:02:33Zoai:repositorio.unesp.br:11449/240125Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-03-01T20:02:33Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Determination of the standard leaf for nutritional diagnosis of assai palm plants Determinação da folha padrão para diagnóstico nutricional do Açaizeiro |
title |
Determination of the standard leaf for nutritional diagnosis of assai palm plants |
spellingShingle |
Determination of the standard leaf for nutritional diagnosis of assai palm plants Viégas, Ismael de Jesus Matos diagnostic leaf Euterpe oleracea Mart leaf sampling nutritional state plant nutrition |
title_short |
Determination of the standard leaf for nutritional diagnosis of assai palm plants |
title_full |
Determination of the standard leaf for nutritional diagnosis of assai palm plants |
title_fullStr |
Determination of the standard leaf for nutritional diagnosis of assai palm plants |
title_full_unstemmed |
Determination of the standard leaf for nutritional diagnosis of assai palm plants |
title_sort |
Determination of the standard leaf for nutritional diagnosis of assai palm plants |
author |
Viégas, Ismael de Jesus Matos |
author_facet |
Viégas, Ismael de Jesus Matos Muller, Antônio Agostinho Costa, Milton Garcia [UNESP] Ferreira, Eric Victor de Oliveira Pinheiro, Daniel Pereira Campos, Pedro Silvestre da Silva |
author_role |
author |
author2 |
Muller, Antônio Agostinho Costa, Milton Garcia [UNESP] Ferreira, Eric Victor de Oliveira Pinheiro, Daniel Pereira Campos, Pedro Silvestre da Silva |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Federal Rural University of the Amazon – Campus Capanema Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) Universidade Estadual Paulista (UNESP) Federal Rural University of the Amazon Cyberspace Institute |
dc.contributor.author.fl_str_mv |
Viégas, Ismael de Jesus Matos Muller, Antônio Agostinho Costa, Milton Garcia [UNESP] Ferreira, Eric Victor de Oliveira Pinheiro, Daniel Pereira Campos, Pedro Silvestre da Silva |
dc.subject.por.fl_str_mv |
diagnostic leaf Euterpe oleracea Mart leaf sampling nutritional state plant nutrition |
topic |
diagnostic leaf Euterpe oleracea Mart leaf sampling nutritional state plant nutrition |
description |
Assai palm is the main palm tree grown in the Brazilian Amazon. Nutritional diagnosis has become an essential tool in management of the crop. The aim of this study was to determine the standard leaf for nutritional diagnosis of the assai palm tree through evaluation of leaf nutrient content and use of two methods of statistical analyses: traditional (univariate) and multivariate. The study was conducted in the municipality of Belém, with eight treatments: the phyllotaxic positions of the leaves (number 2 to 9), in a completely randomized design. The leaf concentration of nutrients (N, P, K, Ca, Mg, S, B, Cu, Fe, Mn and Zn) was determined for performing descriptive analyses, analyses of variance, correlation analysis, and principal component analysis (PCA). Young leaves had greater concentrations of N, P, K, Mg, S, Cu, and Zn, whereas in the older leaves, there were greater concentrations of Ca, B, Fe, and Mn. The leaves that exhibited less variation in nutrient concentrations were from 2 to 5. PCA analysis indicated interaction of positive loads of N-P and Cu-Mg and interaction of negative loads of Ca-Mn. The index of nutrient distribution indicated leaf number 5 as having the lowest factor loading value. Thus, leaf number 5 is most recommended for nutritional diagnosis of assai palm plants through sampling of 25 plants. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 2023-03-01T20:02:33Z 2023-03-01T20:02:33Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1590/0100-29452022078 Revista Brasileira de Fruticultura, v. 44, n. 3, 2022. 0100-2945 http://hdl.handle.net/11449/240125 10.1590/0100-29452022078 2-s2.0-85130725226 |
url |
http://dx.doi.org/10.1590/0100-29452022078 http://hdl.handle.net/11449/240125 |
identifier_str_mv |
Revista Brasileira de Fruticultura, v. 44, n. 3, 2022. 0100-2945 10.1590/0100-29452022078 2-s2.0-85130725226 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Revista Brasileira de Fruticultura |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus 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 |
|
_version_ |
1799965759765479424 |