Physical attributes of a pasture soil in southeast Goiás determined by geostatistics

Detalhes bibliográficos
Autor(a) principal: Cardoso,Gabriel G. de G.
Data de Publicação: 2016
Outros Autores: Wanderley,Rilley C., Souza,Mara L. C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Engenharia Agrícola
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162016000100143
Resumo: ABSTRACT This study aimed to evaluate the spatial dependence of physical attributes in a soil cultivated with Brachiaria grass. A 12-m regular sampling grid was established within an area of 3.500 m2. Thirty-five soil samples were collected at 0-30 cm depth for particle density, bulk density, texture and total porosity analysis. These data were evaluated using statistical methods of indicator kriging and the GS+ software. The GS+ software was used to develop three-dimensional maps and evaluate semivariograms. The spatial dependence was evaluated using experimental semivariograms. The analyzed attributes indicated the occurrence of spatial dependence when fit to the exponential model. Areas with higher porosity occurred in the regions with lower bulk densities and higher particle densities.
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spelling Physical attributes of a pasture soil in southeast Goiás determined by geostatisticsspatial variabilitymanagement systemkrigingABSTRACT This study aimed to evaluate the spatial dependence of physical attributes in a soil cultivated with Brachiaria grass. A 12-m regular sampling grid was established within an area of 3.500 m2. Thirty-five soil samples were collected at 0-30 cm depth for particle density, bulk density, texture and total porosity analysis. These data were evaluated using statistical methods of indicator kriging and the GS+ software. The GS+ software was used to develop three-dimensional maps and evaluate semivariograms. The spatial dependence was evaluated using experimental semivariograms. The analyzed attributes indicated the occurrence of spatial dependence when fit to the exponential model. Areas with higher porosity occurred in the regions with lower bulk densities and higher particle densities.Associação Brasileira de Engenharia Agrícola2016-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162016000100143Engenharia Agrícola v.36 n.1 2016reponame:Engenharia Agrícolainstname:Associação Brasileira de Engenharia Agrícola (SBEA)instacron:SBEA10.1590/1809-4430-Eng.Agric.v36n1p143-151/2016info:eu-repo/semantics/openAccessCardoso,Gabriel G. de G.Wanderley,Rilley C.Souza,Mara L. C.eng2016-04-20T00:00:00Zoai:scielo:S0100-69162016000100143Revistahttp://www.engenhariaagricola.org.br/ORGhttps://old.scielo.br/oai/scielo-oai.phprevistasbea@sbea.org.br||sbea@sbea.org.br1809-44300100-6916opendoar:2016-04-20T00:00Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)false
dc.title.none.fl_str_mv Physical attributes of a pasture soil in southeast Goiás determined by geostatistics
title Physical attributes of a pasture soil in southeast Goiás determined by geostatistics
spellingShingle Physical attributes of a pasture soil in southeast Goiás determined by geostatistics
Cardoso,Gabriel G. de G.
spatial variability
management system
kriging
title_short Physical attributes of a pasture soil in southeast Goiás determined by geostatistics
title_full Physical attributes of a pasture soil in southeast Goiás determined by geostatistics
title_fullStr Physical attributes of a pasture soil in southeast Goiás determined by geostatistics
title_full_unstemmed Physical attributes of a pasture soil in southeast Goiás determined by geostatistics
title_sort Physical attributes of a pasture soil in southeast Goiás determined by geostatistics
author Cardoso,Gabriel G. de G.
author_facet Cardoso,Gabriel G. de G.
Wanderley,Rilley C.
Souza,Mara L. C.
author_role author
author2 Wanderley,Rilley C.
Souza,Mara L. C.
author2_role author
author
dc.contributor.author.fl_str_mv Cardoso,Gabriel G. de G.
Wanderley,Rilley C.
Souza,Mara L. C.
dc.subject.por.fl_str_mv spatial variability
management system
kriging
topic spatial variability
management system
kriging
description ABSTRACT This study aimed to evaluate the spatial dependence of physical attributes in a soil cultivated with Brachiaria grass. A 12-m regular sampling grid was established within an area of 3.500 m2. Thirty-five soil samples were collected at 0-30 cm depth for particle density, bulk density, texture and total porosity analysis. These data were evaluated using statistical methods of indicator kriging and the GS+ software. The GS+ software was used to develop three-dimensional maps and evaluate semivariograms. The spatial dependence was evaluated using experimental semivariograms. The analyzed attributes indicated the occurrence of spatial dependence when fit to the exponential model. Areas with higher porosity occurred in the regions with lower bulk densities and higher particle densities.
publishDate 2016
dc.date.none.fl_str_mv 2016-02-01
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=S0100-69162016000100143
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162016000100143
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1809-4430-Eng.Agric.v36n1p143-151/2016
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 Associação Brasileira de Engenharia Agrícola
publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola
dc.source.none.fl_str_mv Engenharia Agrícola v.36 n.1 2016
reponame:Engenharia Agrícola
instname:Associação Brasileira de Engenharia Agrícola (SBEA)
instacron:SBEA
instname_str Associação Brasileira de Engenharia Agrícola (SBEA)
instacron_str SBEA
institution SBEA
reponame_str Engenharia Agrícola
collection Engenharia Agrícola
repository.name.fl_str_mv Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)
repository.mail.fl_str_mv revistasbea@sbea.org.br||sbea@sbea.org.br
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