Sampling density to detect spatial dependence of potassium, calcium and magnesium in sandy soils
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Engenharia na Agricultura |
Texto Completo: | https://periodicos.ufv.br/reveng/article/view/14048 |
Resumo: | The sampling grid density for georeferenced soil collection must be large enough to allow the identification of the spatial dependence of attributes with representative accuracy of the cultivated area, but not large enough to make fertility mapping unfeasible. The objective of this study was to define, from the evaluation of geostatistical parameters obtained from a super dense soil sampling, an efficient grid for detecting the spatial dependence of potassium (K+), calcium (Ca2+), and magnesium (Mg2+) in a sandy soil. The experiment was conducted in a 3.2 hectare annatto crop (Bixa orellana L.), in 2017. The geostatistical grid consisted of 31 points per hectare, totaling 101 georeferenced points in an 18x18 m spacing. Soil was sampled at the depths of 0-0.20 m and 0.20-0.40 m. A strong spatial dependence was found for all soil attributes in both depths, while the semivariograms fitted to the spherical model with good coefficients of determination (R²) indicating a spatial correlation between the attributes. The range of spatial dependence was close to 100 m for all attributes in both layers. In sandy soils, an efficient sampling grid to detect the spatial dependence of K+, Ca2+ and Mg2+ must consider a semivariogram range of approximately 100 meters. |
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Engenharia na Agricultura |
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Sampling density to detect spatial dependence of potassium, calcium and magnesium in sandy soilsSampling density to detect spatial dependence of potassium, calcium and magnesium in sandy soilsGeostatisticssemivariogramprecision agricultureGeostatisticsSemivariogramPrecision agricultureThe sampling grid density for georeferenced soil collection must be large enough to allow the identification of the spatial dependence of attributes with representative accuracy of the cultivated area, but not large enough to make fertility mapping unfeasible. The objective of this study was to define, from the evaluation of geostatistical parameters obtained from a super dense soil sampling, an efficient grid for detecting the spatial dependence of potassium (K+), calcium (Ca2+), and magnesium (Mg2+) in a sandy soil. The experiment was conducted in a 3.2 hectare annatto crop (Bixa orellana L.), in 2017. The geostatistical grid consisted of 31 points per hectare, totaling 101 georeferenced points in an 18x18 m spacing. Soil was sampled at the depths of 0-0.20 m and 0.20-0.40 m. A strong spatial dependence was found for all soil attributes in both depths, while the semivariograms fitted to the spherical model with good coefficients of determination (R²) indicating a spatial correlation between the attributes. The range of spatial dependence was close to 100 m for all attributes in both layers. In sandy soils, an efficient sampling grid to detect the spatial dependence of K+, Ca2+ and Mg2+ must consider a semivariogram range of approximately 100 meters.The sampling grid density for georeferenced soil collection must be large enough to allow the identification of the spatial dependence of attributes with representative accuracy of the cultivated area, but not large enough to make fertility mapping unfeasible. The objective of this study was to define, from the evaluation of geostatistical parameters obtained from a super dense soil sampling, an efficient grid for detecting the spatial dependence of potassium (K+), calcium (Ca2+), and magnesium (Mg2+) in a sandy soil. The experiment was conducted in a 3.2 hectare annatto crop (Bixa orellana L.), in 2017. The geostatistical grid consisted of 31 points per hectare, totaling 101 georeferenced points in an 18x18 m spacing. Soil was sampled at the depths of 0-0.20 m and 0.20-0.40 m. A strong spatial dependence was found for all soil attributes in both depths, while the semivariograms fitted to the spherical model with good coefficients of determination (R²) indicating a spatial correlation between the attributes. The range of spatial dependence was close to 100 m for all attributes in both layers. In sandy soils, an efficient sampling grid to detect the spatial dependence of K+, Ca2+ and Mg2+ must consider a semivariogram range of approximately 100 meters.Universidade Federal de Viçosa - UFV2022-09-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/reveng/article/view/1404810.13083/reveng.v30i1.14048Engineering in Agriculture; Vol. 30 No. Contínua (2022); 283-293Revista Engenharia na Agricultura - REVENG; v. 30 n. Contínua (2022); 283-2932175-68131414-3984reponame:Engenharia na Agriculturainstname:Universidade Federal de Viçosa (UFV)instacron:UFVenghttps://periodicos.ufv.br/reveng/article/view/14048/7459Copyright (c) 2022 Revista Engenharia na Agricultura - REVENGhttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessBatista, Jessé AlvesOliveira, Felippe Augusto SantosFolador, Mauricio Eduardo SilvaRuiz Junior, Javier ZeballosBatista, Gustavo Barbosa de MouraSilva, Tatiane CarlaMontanari, Rafael2023-01-23T14:06:10Zoai:ojs.periodicos.ufv.br:article/14048Revistahttps://periodicos.ufv.br/revengPUBhttps://periodicos.ufv.br/reveng/oairevistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br2175-68131414-3984opendoar:2023-01-23T14:06:10Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)false |
dc.title.none.fl_str_mv |
Sampling density to detect spatial dependence of potassium, calcium and magnesium in sandy soils Sampling density to detect spatial dependence of potassium, calcium and magnesium in sandy soils |
title |
Sampling density to detect spatial dependence of potassium, calcium and magnesium in sandy soils |
spellingShingle |
Sampling density to detect spatial dependence of potassium, calcium and magnesium in sandy soils Batista, Jessé Alves Geostatistics semivariogram precision agriculture Geostatistics Semivariogram Precision agriculture |
title_short |
Sampling density to detect spatial dependence of potassium, calcium and magnesium in sandy soils |
title_full |
Sampling density to detect spatial dependence of potassium, calcium and magnesium in sandy soils |
title_fullStr |
Sampling density to detect spatial dependence of potassium, calcium and magnesium in sandy soils |
title_full_unstemmed |
Sampling density to detect spatial dependence of potassium, calcium and magnesium in sandy soils |
title_sort |
Sampling density to detect spatial dependence of potassium, calcium and magnesium in sandy soils |
author |
Batista, Jessé Alves |
author_facet |
Batista, Jessé Alves Oliveira, Felippe Augusto Santos Folador, Mauricio Eduardo Silva Ruiz Junior, Javier Zeballos Batista, Gustavo Barbosa de Moura Silva, Tatiane Carla Montanari, Rafael |
author_role |
author |
author2 |
Oliveira, Felippe Augusto Santos Folador, Mauricio Eduardo Silva Ruiz Junior, Javier Zeballos Batista, Gustavo Barbosa de Moura Silva, Tatiane Carla Montanari, Rafael |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Batista, Jessé Alves Oliveira, Felippe Augusto Santos Folador, Mauricio Eduardo Silva Ruiz Junior, Javier Zeballos Batista, Gustavo Barbosa de Moura Silva, Tatiane Carla Montanari, Rafael |
dc.subject.por.fl_str_mv |
Geostatistics semivariogram precision agriculture Geostatistics Semivariogram Precision agriculture |
topic |
Geostatistics semivariogram precision agriculture Geostatistics Semivariogram Precision agriculture |
description |
The sampling grid density for georeferenced soil collection must be large enough to allow the identification of the spatial dependence of attributes with representative accuracy of the cultivated area, but not large enough to make fertility mapping unfeasible. The objective of this study was to define, from the evaluation of geostatistical parameters obtained from a super dense soil sampling, an efficient grid for detecting the spatial dependence of potassium (K+), calcium (Ca2+), and magnesium (Mg2+) in a sandy soil. The experiment was conducted in a 3.2 hectare annatto crop (Bixa orellana L.), in 2017. The geostatistical grid consisted of 31 points per hectare, totaling 101 georeferenced points in an 18x18 m spacing. Soil was sampled at the depths of 0-0.20 m and 0.20-0.40 m. A strong spatial dependence was found for all soil attributes in both depths, while the semivariograms fitted to the spherical model with good coefficients of determination (R²) indicating a spatial correlation between the attributes. The range of spatial dependence was close to 100 m for all attributes in both layers. In sandy soils, an efficient sampling grid to detect the spatial dependence of K+, Ca2+ and Mg2+ must consider a semivariogram range of approximately 100 meters. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-09-02 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufv.br/reveng/article/view/14048 10.13083/reveng.v30i1.14048 |
url |
https://periodicos.ufv.br/reveng/article/view/14048 |
identifier_str_mv |
10.13083/reveng.v30i1.14048 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.ufv.br/reveng/article/view/14048/7459 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 Revista Engenharia na Agricultura - REVENG https://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 Revista Engenharia na Agricultura - REVENG https://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Viçosa - UFV |
publisher.none.fl_str_mv |
Universidade Federal de Viçosa - UFV |
dc.source.none.fl_str_mv |
Engineering in Agriculture; Vol. 30 No. Contínua (2022); 283-293 Revista Engenharia na Agricultura - REVENG; v. 30 n. Contínua (2022); 283-293 2175-6813 1414-3984 reponame:Engenharia na Agricultura instname:Universidade Federal de Viçosa (UFV) instacron:UFV |
instname_str |
Universidade Federal de Viçosa (UFV) |
instacron_str |
UFV |
institution |
UFV |
reponame_str |
Engenharia na Agricultura |
collection |
Engenharia na Agricultura |
repository.name.fl_str_mv |
Engenharia na Agricultura - Universidade Federal de Viçosa (UFV) |
repository.mail.fl_str_mv |
revistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br |
_version_ |
1800211147379441664 |