Soil penetration resistance mapping quality: effect of the number of subsamples
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Outros Autores: | , , , , |
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). |
id |
UEM-5_0c1a058e208b34e92c9e0794372dd02c |
---|---|
oai_identifier_str |
oai:periodicos.uem.br/ojs:article/34989 |
network_acronym_str |
UEM-5 |
network_name_str |
Acta Scientiarum. Agronomy (Online) |
repository_id_str |
|
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 |
_version_ |
1799305909976956928 |