O relevo na interpretação da variabilidade espacial dos teores de nutrientes em folha de citros

Detalhes bibliográficos
Autor(a) principal: de Leao, Marisol G. A. [UNESP]
Data de Publicação: 2010
Outros Autores: Marques Junior, Jose [UNESP], de Souza, Zigomar M., Siqueira, Diego S. [UNESP], Pereira, Gener Tadeu [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/11449/3767
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 O relevo na interpretação da variabilidade espacial dos teores de nutrientes em folha de citrosLandrelief in the interpretation of spatial variability of nutrient content in citrus leavesorangeKrigingdata miningsoil-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, Dept Solos & Adubos, BR-14884900 Jaboticabal, SP, BrazilFEAGRI UNICAMP, Campinas, SP, BrazilFCAV UNESP, Dept Solos & Adubos, BR-14884900 Jaboticabal, SP, BrazilUniversidade Federal da Paraíba (UFPB) CcsaUniversidade Estadual Paulista (Unesp)Universidade Estadual de Campinas (UNICAMP)de Leao, Marisol G. A. [UNESP]Marques Junior, Jose [UNESP]de Souza, Zigomar M.Siqueira, Diego S. [UNESP]Pereira, Gener Tadeu [UNESP]2014-05-20T13:17:13Z2014-05-20T13:17:13Z2010-11-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1152-1159application/pdfhttp://dx.doi.org/10.1590/S1415-43662010001100004Revista Brasileira de Engenharia Agricola E Ambiental. Joao Pessoa Pb: Universidade Federal da Paraíba (UFPB) Ccsa, v. 14, n. 11, p. 1152-1159, 2010.1415-4366http://hdl.handle.net/11449/3767S1415-43662010001100004WOS:000208665700004S1415-43662010001100004.pdf7053426037771460Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporRevista Brasileira de Engenharia Agrícola e Ambiental0,541info:eu-repo/semantics/openAccess2024-06-07T14:23:27Zoai:repositorio.unesp.br:11449/3767Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:01:39.476707Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv O relevo na interpretação da variabilidade espacial dos teores de nutrientes em folha de citros
Landrelief in the interpretation of spatial variability of nutrient content in citrus leaves
title O relevo na interpretação da variabilidade espacial dos teores de nutrientes em folha de citros
spellingShingle O relevo na interpretação da variabilidade espacial dos teores de nutrientes em folha de citros
de Leao, Marisol G. A. [UNESP]
orange
Kriging
data mining
soil-landscape relationship
title_short O relevo na interpretação da variabilidade espacial dos teores de nutrientes em folha de citros
title_full O relevo na interpretação da variabilidade espacial dos teores de nutrientes em folha de citros
title_fullStr O relevo na interpretação da variabilidade espacial dos teores de nutrientes em folha de citros
title_full_unstemmed O relevo na interpretação da variabilidade espacial dos teores de nutrientes em folha de citros
title_sort O relevo na interpretação da variabilidade espacial dos teores de nutrientes em folha de citros
author de Leao, Marisol G. A. [UNESP]
author_facet de Leao, Marisol G. A. [UNESP]
Marques Junior, Jose [UNESP]
de Souza, Zigomar M.
Siqueira, Diego S. [UNESP]
Pereira, Gener Tadeu [UNESP]
author_role author
author2 Marques Junior, Jose [UNESP]
de Souza, Zigomar M.
Siqueira, Diego S. [UNESP]
Pereira, Gener Tadeu [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 Leao, Marisol G. A. [UNESP]
Marques Junior, Jose [UNESP]
de Souza, Zigomar M.
Siqueira, Diego S. [UNESP]
Pereira, Gener Tadeu [UNESP]
dc.subject.por.fl_str_mv orange
Kriging
data mining
soil-landscape relationship
topic orange
Kriging
data mining
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 2010-11-01
2014-05-20T13:17:13Z
2014-05-20T13:17:13Z
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. Joao Pessoa Pb: Universidade Federal da Paraíba (UFPB) Ccsa, v. 14, n. 11, p. 1152-1159, 2010.
1415-4366
http://hdl.handle.net/11449/3767
S1415-43662010001100004
WOS:000208665700004
S1415-43662010001100004.pdf
7053426037771460
url http://dx.doi.org/10.1590/S1415-43662010001100004
http://hdl.handle.net/11449/3767
identifier_str_mv Revista Brasileira de Engenharia Agricola E Ambiental. Joao Pessoa Pb: Universidade Federal da Paraíba (UFPB) Ccsa, v. 14, n. 11, p. 1152-1159, 2010.
1415-4366
S1415-43662010001100004
WOS:000208665700004
S1415-43662010001100004.pdf
7053426037771460
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental
0,541
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1152-1159
application/pdf
dc.publisher.none.fl_str_mv Universidade Federal da Paraíba (UFPB) Ccsa
publisher.none.fl_str_mv Universidade Federal da Paraíba (UFPB) Ccsa
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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