Apparent soil electrical conductivity in two different soil types

Detalhes bibliográficos
Autor(a) principal: Medeiros,Wilker Nunes
Data de Publicação: 2018
Outros Autores: Valente,Domingos Sárvio Magalhães, Queiroz,Daniel Marçal de, Pinto,Francisco de Assis de Carvalho, Assis,Igor Rodrigues de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista ciência agronômica (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902018000100043
Resumo: ABSTRACT Mapping the apparent soil electrical conductivity (ECa) has become important for the characterization of the soil variability in precision agriculture systems. Could the ECa be used to locate the soil sampling points for mapping the chemical and physical soil attributes? The objective of this work was to examine the relations between ECa and soil attributes in two fields presenting different soil textures. In each field, 50 sampling points were chosen using a path that presented a high variability of ECa obtained from a preliminary ECa map. At each sampling point, the ECa was measured in soil depths of 0-20, 0-40 and 0-60 cm. In addition, at each point, soil samples were collected for the determination of physical and chemical attributes in the laboratory. The ECa data obtained for different soil depths was very similar. A large number of significant correlations between ECa and the soil attributes were found. In the sandy clay loam texture field there was no correlation between ECa and organic matter or between ECa and soil clay and sand content. However, a significant positive correlation was shown for the remaining phosphorus. In the sandy loam texture field the ECa had a significant positive correlation with clay content and a significant negative correlation with sand content. The results suggest that the mapping of apparent soil electrical conductivity does not replace traditional soil sampling, however, it can be used as information to delimit regions in a field that have similar soil attributes.
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spelling Apparent soil electrical conductivity in two different soil typesPrecision agricultureManagement zonesSoil samplingABSTRACT Mapping the apparent soil electrical conductivity (ECa) has become important for the characterization of the soil variability in precision agriculture systems. Could the ECa be used to locate the soil sampling points for mapping the chemical and physical soil attributes? The objective of this work was to examine the relations between ECa and soil attributes in two fields presenting different soil textures. In each field, 50 sampling points were chosen using a path that presented a high variability of ECa obtained from a preliminary ECa map. At each sampling point, the ECa was measured in soil depths of 0-20, 0-40 and 0-60 cm. In addition, at each point, soil samples were collected for the determination of physical and chemical attributes in the laboratory. The ECa data obtained for different soil depths was very similar. A large number of significant correlations between ECa and the soil attributes were found. In the sandy clay loam texture field there was no correlation between ECa and organic matter or between ECa and soil clay and sand content. However, a significant positive correlation was shown for the remaining phosphorus. In the sandy loam texture field the ECa had a significant positive correlation with clay content and a significant negative correlation with sand content. The results suggest that the mapping of apparent soil electrical conductivity does not replace traditional soil sampling, however, it can be used as information to delimit regions in a field that have similar soil attributes.Universidade Federal do Ceará2018-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902018000100043Revista Ciência Agronômica v.49 n.1 2018reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.5935/1806-6690.20180005info:eu-repo/semantics/openAccessMedeiros,Wilker NunesValente,Domingos Sárvio MagalhãesQueiroz,Daniel Marçal dePinto,Francisco de Assis de CarvalhoAssis,Igor Rodrigues deeng2018-01-30T00:00:00Zoai:scielo:S1806-66902018000100043Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2018-01-30T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Apparent soil electrical conductivity in two different soil types
title Apparent soil electrical conductivity in two different soil types
spellingShingle Apparent soil electrical conductivity in two different soil types
Medeiros,Wilker Nunes
Precision agriculture
Management zones
Soil sampling
title_short Apparent soil electrical conductivity in two different soil types
title_full Apparent soil electrical conductivity in two different soil types
title_fullStr Apparent soil electrical conductivity in two different soil types
title_full_unstemmed Apparent soil electrical conductivity in two different soil types
title_sort Apparent soil electrical conductivity in two different soil types
author Medeiros,Wilker Nunes
author_facet Medeiros,Wilker Nunes
Valente,Domingos Sárvio Magalhães
Queiroz,Daniel Marçal de
Pinto,Francisco de Assis de Carvalho
Assis,Igor Rodrigues de
author_role author
author2 Valente,Domingos Sárvio Magalhães
Queiroz,Daniel Marçal de
Pinto,Francisco de Assis de Carvalho
Assis,Igor Rodrigues de
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Medeiros,Wilker Nunes
Valente,Domingos Sárvio Magalhães
Queiroz,Daniel Marçal de
Pinto,Francisco de Assis de Carvalho
Assis,Igor Rodrigues de
dc.subject.por.fl_str_mv Precision agriculture
Management zones
Soil sampling
topic Precision agriculture
Management zones
Soil sampling
description ABSTRACT Mapping the apparent soil electrical conductivity (ECa) has become important for the characterization of the soil variability in precision agriculture systems. Could the ECa be used to locate the soil sampling points for mapping the chemical and physical soil attributes? The objective of this work was to examine the relations between ECa and soil attributes in two fields presenting different soil textures. In each field, 50 sampling points were chosen using a path that presented a high variability of ECa obtained from a preliminary ECa map. At each sampling point, the ECa was measured in soil depths of 0-20, 0-40 and 0-60 cm. In addition, at each point, soil samples were collected for the determination of physical and chemical attributes in the laboratory. The ECa data obtained for different soil depths was very similar. A large number of significant correlations between ECa and the soil attributes were found. In the sandy clay loam texture field there was no correlation between ECa and organic matter or between ECa and soil clay and sand content. However, a significant positive correlation was shown for the remaining phosphorus. In the sandy loam texture field the ECa had a significant positive correlation with clay content and a significant negative correlation with sand content. The results suggest that the mapping of apparent soil electrical conductivity does not replace traditional soil sampling, however, it can be used as information to delimit regions in a field that have similar soil attributes.
publishDate 2018
dc.date.none.fl_str_mv 2018-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902018000100043
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902018000100043
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5935/1806-6690.20180005
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal do Ceará
publisher.none.fl_str_mv Universidade Federal do Ceará
dc.source.none.fl_str_mv Revista Ciência Agronômica v.49 n.1 2018
reponame:Revista ciência agronômica (Online)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Revista ciência agronômica (Online)
collection Revista ciência agronômica (Online)
repository.name.fl_str_mv Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv ||alekdutra@ufc.br|| ccarev@ufc.br
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