Sampling grid density and lime recommendation in an Oxisol
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662014001100008 |
Resumo: | The objective of this study was to evaluate the influence of different sampling grids density in the lime requirements in an Oxisol. The experiment was conducted at a rural property located in Sidrolândia city, Mato Grosso do Sul state, in the Brazilian ‘Cerrado’. In the soil attributes mapping, regular sampling grid was used consisting of 99 points, spread over an area of 90 ha. Other two grids (51 and 27 points) were derived by deleting lines or lines and points from the original one. Based on the results of soil analysis, the lime requirement at each sample point was calculated. Using geostatistical techniques the spatial variability of lime requirement was studied and grid configuration for each sample was tested. By kriging, maps were made. By reducing the number of sampling points, 11% of the experimental area showed an overestimation and 8% underestimation comparing with the lime requirement made using the highest sampling grid density. |
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Sampling grid density and lime recommendation in an Oxisolprecision agriculturegeostatisticsspatial variabilitysoil acidity correctionThe objective of this study was to evaluate the influence of different sampling grids density in the lime requirements in an Oxisol. The experiment was conducted at a rural property located in Sidrolândia city, Mato Grosso do Sul state, in the Brazilian ‘Cerrado’. In the soil attributes mapping, regular sampling grid was used consisting of 99 points, spread over an area of 90 ha. Other two grids (51 and 27 points) were derived by deleting lines or lines and points from the original one. Based on the results of soil analysis, the lime requirement at each sample point was calculated. Using geostatistical techniques the spatial variability of lime requirement was studied and grid configuration for each sample was tested. By kriging, maps were made. By reducing the number of sampling points, 11% of the experimental area showed an overestimation and 8% underestimation comparing with the lime requirement made using the highest sampling grid density.Departamento de Engenharia Agrícola - UFCG2014-11-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662014001100008Revista Brasileira de Engenharia Agrícola e Ambiental v.18 n.11 2014reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/1807-1929/agriambi.v18n11p1142-1148info:eu-repo/semantics/openAccessBottega,Eduardo L.Queiroz,Daniel M. dePinto,Francisco A. C.Oliveira Neto,Antonio M. deVilar,Cesar C.Souza,Cristiano M. A. deeng2014-10-22T00:00:00Zoai:scielo:S1415-43662014001100008Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2014-10-22T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false |
dc.title.none.fl_str_mv |
Sampling grid density and lime recommendation in an Oxisol |
title |
Sampling grid density and lime recommendation in an Oxisol |
spellingShingle |
Sampling grid density and lime recommendation in an Oxisol Bottega,Eduardo L. precision agriculture geostatistics spatial variability soil acidity correction |
title_short |
Sampling grid density and lime recommendation in an Oxisol |
title_full |
Sampling grid density and lime recommendation in an Oxisol |
title_fullStr |
Sampling grid density and lime recommendation in an Oxisol |
title_full_unstemmed |
Sampling grid density and lime recommendation in an Oxisol |
title_sort |
Sampling grid density and lime recommendation in an Oxisol |
author |
Bottega,Eduardo L. |
author_facet |
Bottega,Eduardo L. Queiroz,Daniel M. de Pinto,Francisco A. C. Oliveira Neto,Antonio M. de Vilar,Cesar C. Souza,Cristiano M. A. de |
author_role |
author |
author2 |
Queiroz,Daniel M. de Pinto,Francisco A. C. Oliveira Neto,Antonio M. de Vilar,Cesar C. Souza,Cristiano M. A. de |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Bottega,Eduardo L. Queiroz,Daniel M. de Pinto,Francisco A. C. Oliveira Neto,Antonio M. de Vilar,Cesar C. Souza,Cristiano M. A. de |
dc.subject.por.fl_str_mv |
precision agriculture geostatistics spatial variability soil acidity correction |
topic |
precision agriculture geostatistics spatial variability soil acidity correction |
description |
The objective of this study was to evaluate the influence of different sampling grids density in the lime requirements in an Oxisol. The experiment was conducted at a rural property located in Sidrolândia city, Mato Grosso do Sul state, in the Brazilian ‘Cerrado’. In the soil attributes mapping, regular sampling grid was used consisting of 99 points, spread over an area of 90 ha. Other two grids (51 and 27 points) were derived by deleting lines or lines and points from the original one. Based on the results of soil analysis, the lime requirement at each sample point was calculated. Using geostatistical techniques the spatial variability of lime requirement was studied and grid configuration for each sample was tested. By kriging, maps were made. By reducing the number of sampling points, 11% of the experimental area showed an overestimation and 8% underestimation comparing with the lime requirement made using the highest sampling grid density. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-11-01 |
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=S1415-43662014001100008 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662014001100008 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1807-1929/agriambi.v18n11p1142-1148 |
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 |
Departamento de Engenharia Agrícola - UFCG |
publisher.none.fl_str_mv |
Departamento de Engenharia Agrícola - UFCG |
dc.source.none.fl_str_mv |
Revista Brasileira de Engenharia Agrícola e Ambiental v.18 n.11 2014 reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online) instname:Universidade Federal de Campina Grande (UFCG) instacron:UFCG |
instname_str |
Universidade Federal de Campina Grande (UFCG) |
instacron_str |
UFCG |
institution |
UFCG |
reponame_str |
Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
collection |
Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG) |
repository.mail.fl_str_mv |
||agriambi@agriambi.com.br |
_version_ |
1750297683254312960 |