Soil penetration resistance mapping quality: effect of the number of subsamples

Detalhes bibliográficos
Autor(a) principal: Pias, Osmar Henrique de Castro
Data de Publicação: 2018
Outros Autores: Cherubin, Maurício Roberto, Basso, Claudir José, Santi, Antônio Luis, Molin, José Paulo, Bayer, Cimélio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta Scientiarum. Agronomy (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/34989
Resumo: There is no consensus in the literature regarding how many subsamples are needed to perform accurate on-farm soil penetration resistance (SPR) mapping. Therefore, the objective of this study was to define the number of subsamples per sampling point needed to quantify the SPR. The experiment was performed in a 4.7 ha area and employed a 50 × 50 m grid system (18 sampling points). The SPR was evaluated using a digital penetrometer in two different years with 1, 2, 3, 4, 5, 6, 9, 12, and 15 subsamples per sampling point. The SPR maps produced with increasing numbers of subsamples were compared to the reference maps (15 subsamples) using the relative deviation coefficient and Pearson´s linear correlation. A reduction in the number of subsamples promoted an increase in the variability of the SPR data. Generally, the results from this study suggest the use of at least four subsamples per sampling point to achieve SPR maps with a coefficient of relative deviation less than 10% (30% maximum error per point around the mean) and significant correlation with the reference maps (15 subsamples). 
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spelling Soil penetration resistance mapping quality: effect of the number of subsamplessoil compactionsampling protocolprecision agriculturemicrovariability.soil compactionsampling protocolprecision agriculturemicrovariabilityFísica do soloThere is no consensus in the literature regarding how many subsamples are needed to perform accurate on-farm soil penetration resistance (SPR) mapping. Therefore, the objective of this study was to define the number of subsamples per sampling point needed to quantify the SPR. The experiment was performed in a 4.7 ha area and employed a 50 × 50 m grid system (18 sampling points). The SPR was evaluated using a digital penetrometer in two different years with 1, 2, 3, 4, 5, 6, 9, 12, and 15 subsamples per sampling point. The SPR maps produced with increasing numbers of subsamples were compared to the reference maps (15 subsamples) using the relative deviation coefficient and Pearson´s linear correlation. A reduction in the number of subsamples promoted an increase in the variability of the SPR data. Generally, the results from this study suggest the use of at least four subsamples per sampling point to achieve SPR maps with a coefficient of relative deviation less than 10% (30% maximum error per point around the mean) and significant correlation with the reference maps (15 subsamples). Universidade Estadual de Maringá2018-02-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisa Empírica de Campoapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/3498910.4025/actasciagron.v40i1.34989Acta Scientiarum. Agronomy; Vol 40 (2018): Publicação Contínua; e34989Acta Scientiarum. Agronomy; v. 40 (2018): Publicação Contínua; e349891807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/34989/pdfCopyright (c) 2017 Acta Scientiarum. Agronomyinfo:eu-repo/semantics/openAccessPias, Osmar Henrique de CastroCherubin, Maurício RobertoBasso, Claudir JoséSanti, Antônio LuisMolin, José PauloBayer, Cimélio2019-09-24T12:26:47Zoai:periodicos.uem.br/ojs:article/34989Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2019-09-24T12:26:47Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Soil penetration resistance mapping quality: effect of the number of subsamples
title Soil penetration resistance mapping quality: effect of the number of subsamples
spellingShingle Soil penetration resistance mapping quality: effect of the number of subsamples
Pias, Osmar Henrique de Castro
soil compaction
sampling protocol
precision agriculture
microvariability.
soil compaction
sampling protocol
precision agriculture
microvariability
Física do solo
title_short Soil penetration resistance mapping quality: effect of the number of subsamples
title_full Soil penetration resistance mapping quality: effect of the number of subsamples
title_fullStr Soil penetration resistance mapping quality: effect of the number of subsamples
title_full_unstemmed Soil penetration resistance mapping quality: effect of the number of subsamples
title_sort Soil penetration resistance mapping quality: effect of the number of subsamples
author Pias, Osmar Henrique de Castro
author_facet Pias, Osmar Henrique de Castro
Cherubin, Maurício Roberto
Basso, Claudir José
Santi, Antônio Luis
Molin, José Paulo
Bayer, Cimélio
author_role author
author2 Cherubin, Maurício Roberto
Basso, Claudir José
Santi, Antônio Luis
Molin, José Paulo
Bayer, Cimélio
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Pias, Osmar Henrique de Castro
Cherubin, Maurício Roberto
Basso, Claudir José
Santi, Antônio Luis
Molin, José Paulo
Bayer, Cimélio
dc.subject.por.fl_str_mv soil compaction
sampling protocol
precision agriculture
microvariability.
soil compaction
sampling protocol
precision agriculture
microvariability
Física do solo
topic soil compaction
sampling protocol
precision agriculture
microvariability.
soil compaction
sampling protocol
precision agriculture
microvariability
Física do solo
description There is no consensus in the literature regarding how many subsamples are needed to perform accurate on-farm soil penetration resistance (SPR) mapping. Therefore, the objective of this study was to define the number of subsamples per sampling point needed to quantify the SPR. The experiment was performed in a 4.7 ha area and employed a 50 × 50 m grid system (18 sampling points). The SPR was evaluated using a digital penetrometer in two different years with 1, 2, 3, 4, 5, 6, 9, 12, and 15 subsamples per sampling point. The SPR maps produced with increasing numbers of subsamples were compared to the reference maps (15 subsamples) using the relative deviation coefficient and Pearson´s linear correlation. A reduction in the number of subsamples promoted an increase in the variability of the SPR data. Generally, the results from this study suggest the use of at least four subsamples per sampling point to achieve SPR maps with a coefficient of relative deviation less than 10% (30% maximum error per point around the mean) and significant correlation with the reference maps (15 subsamples). 
publishDate 2018
dc.date.none.fl_str_mv 2018-02-09
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Pesquisa Empírica de Campo
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/34989
10.4025/actasciagron.v40i1.34989
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/34989
identifier_str_mv 10.4025/actasciagron.v40i1.34989
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/34989/pdf
dc.rights.driver.fl_str_mv Copyright (c) 2017 Acta Scientiarum. Agronomy
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Acta Scientiarum. Agronomy
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual de Maringá
publisher.none.fl_str_mv Universidade Estadual de Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Agronomy; Vol 40 (2018): Publicação Contínua; e34989
Acta Scientiarum. Agronomy; v. 40 (2018): Publicação Contínua; e34989
1807-8621
1679-9275
reponame:Acta Scientiarum. Agronomy (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta Scientiarum. Agronomy (Online)
collection Acta Scientiarum. Agronomy (Online)
repository.name.fl_str_mv Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br
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