O relevo na interpretação da variabilidade espacial dos teores de nutrientes em folha de citros
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , , |
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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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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1808128741704990720 |