Landrelief in the interpretation of spatial variability of nutrient content in citrus leaves

Detalhes bibliográficos
Autor(a) principal: de Leão, Marisol G. A. [UNESP]
Data de Publicação: 2010
Outros Autores: Jünior, José Marques [UNESP], de Souza, Zigomar M., Siqueira, Diego S. [UNESP], Pereira, Gener T. [UNESP]
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/s1415-43662010001100004
http://hdl.handle.net/11449/226152
Resumo: Foliar diagnosis is a method for assessing the nutritional status of agricultural crops, which helps in the understanding of soil fertility and rationalized application of fertilizers taking into account economic and environmental criteria. The study aimed to use the landrelief as criteria to assist in interpreting the spatial variability of nutrient content of the citrus leaf. The leaves were collected at regular intervals of 50 m, totaling 332 sampling points. Data were analyzed by descriptive statistics, geostatistics and induction of decision tree. With the aid of digital elevation model (MDE) and the profile planaltimetric, the area was divided into three different landrelief and sub-strands. The highest values for nutrients from the leaves of citrus were observed at the top (concave area) segments on a half-slope and lower slope. The nutrients from the citrus leaves showed high values of correlation (above 0.5) with the altitude of the study area. The technique of geostatistics and the induction of decision tree show that the relief is the variable with the greatest potential to interpret the maps of spatial variability of nutrients from the citrus leaves.
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spelling Landrelief in the interpretation of spatial variability of nutrient content in citrus leavesO relevo na interpretação da variabilidade espacial dos teores de nutrientes em folha de citrosData miningKrigingOrangeSoil-landscape relationshipFoliar diagnosis is a method for assessing the nutritional status of agricultural crops, which helps in the understanding of soil fertility and rationalized application of fertilizers taking into account economic and environmental criteria. The study aimed to use the landrelief as criteria to assist in interpreting the spatial variability of nutrient content of the citrus leaf. The leaves were collected at regular intervals of 50 m, totaling 332 sampling points. Data were analyzed by descriptive statistics, geostatistics and induction of decision tree. With the aid of digital elevation model (MDE) and the profile planaltimetric, the area was divided into three different landrelief and sub-strands. The highest values for nutrients from the leaves of citrus were observed at the top (concave area) segments on a half-slope and lower slope. The nutrients from the citrus leaves showed high values of correlation (above 0.5) with the altitude of the study area. The technique of geostatistics and the induction of decision tree show that the relief is the variable with the greatest potential to interpret the maps of spatial variability of nutrients from the citrus leaves.FCAV/UNESP Departamento de Solos e Adubos, Via de acesso Prof. Paulo Donato Castellane s/n, CEP 14884-900 Jaboticabal, SPFEAGRI/UNICAMP, Campinas, SPFCAV/UNESP Departamento de Solos e Adubos, Via de acesso Prof. Paulo Donato Castellane s/n, CEP 14884-900 Jaboticabal, SPUniversidade Estadual Paulista (UNESP)Universidade Estadual de Campinas (UNICAMP)de Leão, Marisol G. A. [UNESP]Jünior, José Marques [UNESP]de Souza, Zigomar M.Siqueira, Diego S. [UNESP]Pereira, Gener T. [UNESP]2022-04-28T21:37:14Z2022-04-28T21:37:14Z2010-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1152-1159http://dx.doi.org/10.1590/s1415-43662010001100004Revista Brasileira de Engenharia Agricola e Ambiental, v. 14, n. 11, p. 1152-1159, 2010.1807-19291415-4366http://hdl.handle.net/11449/22615210.1590/s1415-436620100011000042-s2.0-78649863716Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporRevista Brasileira de Engenharia Agricola e Ambientalinfo:eu-repo/semantics/openAccess2024-06-07T14:24:06Zoai:repositorio.unesp.br:11449/226152Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:11:47.494262Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Landrelief in the interpretation of spatial variability of nutrient content in citrus leaves
O relevo na interpretação da variabilidade espacial dos teores de nutrientes em folha de citros
title Landrelief in the interpretation of spatial variability of nutrient content in citrus leaves
spellingShingle Landrelief in the interpretation of spatial variability of nutrient content in citrus leaves
de Leão, Marisol G. A. [UNESP]
Data mining
Kriging
Orange
Soil-landscape relationship
title_short Landrelief in the interpretation of spatial variability of nutrient content in citrus leaves
title_full Landrelief in the interpretation of spatial variability of nutrient content in citrus leaves
title_fullStr Landrelief in the interpretation of spatial variability of nutrient content in citrus leaves
title_full_unstemmed Landrelief in the interpretation of spatial variability of nutrient content in citrus leaves
title_sort Landrelief in the interpretation of spatial variability of nutrient content in citrus leaves
author de Leão, Marisol G. A. [UNESP]
author_facet de Leão, Marisol G. A. [UNESP]
Jünior, José Marques [UNESP]
de Souza, Zigomar M.
Siqueira, Diego S. [UNESP]
Pereira, Gener T. [UNESP]
author_role author
author2 Jünior, José Marques [UNESP]
de Souza, Zigomar M.
Siqueira, Diego S. [UNESP]
Pereira, Gener T. [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Universidade Estadual de Campinas (UNICAMP)
dc.contributor.author.fl_str_mv de Leão, Marisol G. A. [UNESP]
Jünior, José Marques [UNESP]
de Souza, Zigomar M.
Siqueira, Diego S. [UNESP]
Pereira, Gener T. [UNESP]
dc.subject.por.fl_str_mv Data mining
Kriging
Orange
Soil-landscape relationship
topic Data mining
Kriging
Orange
Soil-landscape relationship
description Foliar diagnosis is a method for assessing the nutritional status of agricultural crops, which helps in the understanding of soil fertility and rationalized application of fertilizers taking into account economic and environmental criteria. The study aimed to use the landrelief as criteria to assist in interpreting the spatial variability of nutrient content of the citrus leaf. The leaves were collected at regular intervals of 50 m, totaling 332 sampling points. Data were analyzed by descriptive statistics, geostatistics and induction of decision tree. With the aid of digital elevation model (MDE) and the profile planaltimetric, the area was divided into three different landrelief and sub-strands. The highest values for nutrients from the leaves of citrus were observed at the top (concave area) segments on a half-slope and lower slope. The nutrients from the citrus leaves showed high values of correlation (above 0.5) with the altitude of the study area. The technique of geostatistics and the induction of decision tree show that the relief is the variable with the greatest potential to interpret the maps of spatial variability of nutrients from the citrus leaves.
publishDate 2010
dc.date.none.fl_str_mv 2010-01-01
2022-04-28T21:37:14Z
2022-04-28T21:37:14Z
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/s1415-43662010001100004
Revista Brasileira de Engenharia Agricola e Ambiental, v. 14, n. 11, p. 1152-1159, 2010.
1807-1929
1415-4366
http://hdl.handle.net/11449/226152
10.1590/s1415-43662010001100004
2-s2.0-78649863716
url http://dx.doi.org/10.1590/s1415-43662010001100004
http://hdl.handle.net/11449/226152
identifier_str_mv Revista Brasileira de Engenharia Agricola e Ambiental, v. 14, n. 11, p. 1152-1159, 2010.
1807-1929
1415-4366
10.1590/s1415-43662010001100004
2-s2.0-78649863716
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Revista Brasileira de Engenharia Agricola e Ambiental
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1152-1159
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
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