Spatial variability of precompression stress and volumetric water content of a red-yellow latosol (Oxisol)
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/42937 |
Resumo: | The intensive agricultural machinery traffic to which soils under coffee crops are exposed may cause significant changes in soil structure. The goals of this study were to: a) characterize the spatial variability of precompression stress (σp) and volumetric water content (θ) of a Red-Yellow Latosol (Oxisol) and determine their spatially dependent structures using ordinary kriging semivariograms; b) using this date to construct a load-bearing capacity (LBC) map for the site, identifying the depth with higher ; and c) use the map as a decision support tool regarding agricultural machinery logistic management in coffee plantations. The research was conducted on an experimental farm of the Agricultural Research Company of Minas Gerais (Epamig), Patrocinio, MG, on a clayey Oxisol. Samples were collected from 2.0 × 1.5 m sampling pits at intersections of a rectangular 40 × 150 m grid, totaling 28 sampling points. The soil samples were collected with metal rings (0.0254 m in height and 0.0630 m in diameter) using an Uhland sampler. Sampling at each pit was at 3 layers: 0.00–0.03 m, 0.10–0.13 m, and 0.25–0.28 m, and seven samples arranged in a matrix form were collected at each layer, totaling 588 samples. The σp and θ showed a spatially dependent structure. The depth of 0.00–0.03 m showed higher LBC, indicating that this depth was more compacted compared to other depths. Based on the σp maps, the tractor and the combine should not traffic into the areas at water content of 0.45 m3 m-3, because the soil has a LBC of 200 kPa. If this condition is not respected, additional compaction will occur. Tractor traffic is permissible when the water content reaches values less than 0.36 m3 m-3, whereas for combine traffic, the water content values must be less than 0.30 m3 m-3. |
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Spatial variability of precompression stress and volumetric water content of a red-yellow latosol (Oxisol)Variabilidade espacial da pressão de preconsolidação e da umidade volumétrica de um latossolo vermelho amareloSoil compactionGeostatisticsLoad-bearing capacityCompactação do soloGeoestatísticaCapacidade de cargaThe intensive agricultural machinery traffic to which soils under coffee crops are exposed may cause significant changes in soil structure. The goals of this study were to: a) characterize the spatial variability of precompression stress (σp) and volumetric water content (θ) of a Red-Yellow Latosol (Oxisol) and determine their spatially dependent structures using ordinary kriging semivariograms; b) using this date to construct a load-bearing capacity (LBC) map for the site, identifying the depth with higher ; and c) use the map as a decision support tool regarding agricultural machinery logistic management in coffee plantations. The research was conducted on an experimental farm of the Agricultural Research Company of Minas Gerais (Epamig), Patrocinio, MG, on a clayey Oxisol. Samples were collected from 2.0 × 1.5 m sampling pits at intersections of a rectangular 40 × 150 m grid, totaling 28 sampling points. The soil samples were collected with metal rings (0.0254 m in height and 0.0630 m in diameter) using an Uhland sampler. Sampling at each pit was at 3 layers: 0.00–0.03 m, 0.10–0.13 m, and 0.25–0.28 m, and seven samples arranged in a matrix form were collected at each layer, totaling 588 samples. The σp and θ showed a spatially dependent structure. The depth of 0.00–0.03 m showed higher LBC, indicating that this depth was more compacted compared to other depths. Based on the σp maps, the tractor and the combine should not traffic into the areas at water content of 0.45 m3 m-3, because the soil has a LBC of 200 kPa. If this condition is not respected, additional compaction will occur. Tractor traffic is permissible when the water content reaches values less than 0.36 m3 m-3, whereas for combine traffic, the water content values must be less than 0.30 m3 m-3.Universidade Federal de Uberlândia2020-09-08T19:01:47Z2020-09-08T19:01:47Z2020-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfKAMIMURA, K. M. et al. Spatial variability of precompression stress and volumetric water content of a red-yellow latosol (Oxisol). Bioscience Journal, Uberlândia, v. 36, n. 1, p. 142-151, jan./fev. 2020. DOI: https://doi.org/10.14393/BJ-v36n1a2020-42121.http://repositorio.ufla.br/jspui/handle/1/42937Bioscience Journalreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessKamimura, Karina MarieDias Júnior, Moacir de SouzaOliveira, Marcelo Silva deSantos, Gérson Rodrigues dosGuimarães, Paulo Tácito GontijoAjayi, Ayodele Ebenezereng2020-09-08T19:03:04Zoai:localhost:1/42937Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2020-09-08T19:03:04Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Spatial variability of precompression stress and volumetric water content of a red-yellow latosol (Oxisol) Variabilidade espacial da pressão de preconsolidação e da umidade volumétrica de um latossolo vermelho amarelo |
title |
Spatial variability of precompression stress and volumetric water content of a red-yellow latosol (Oxisol) |
spellingShingle |
Spatial variability of precompression stress and volumetric water content of a red-yellow latosol (Oxisol) Kamimura, Karina Marie Soil compaction Geostatistics Load-bearing capacity Compactação do solo Geoestatística Capacidade de carga |
title_short |
Spatial variability of precompression stress and volumetric water content of a red-yellow latosol (Oxisol) |
title_full |
Spatial variability of precompression stress and volumetric water content of a red-yellow latosol (Oxisol) |
title_fullStr |
Spatial variability of precompression stress and volumetric water content of a red-yellow latosol (Oxisol) |
title_full_unstemmed |
Spatial variability of precompression stress and volumetric water content of a red-yellow latosol (Oxisol) |
title_sort |
Spatial variability of precompression stress and volumetric water content of a red-yellow latosol (Oxisol) |
author |
Kamimura, Karina Marie |
author_facet |
Kamimura, Karina Marie Dias Júnior, Moacir de Souza Oliveira, Marcelo Silva de Santos, Gérson Rodrigues dos Guimarães, Paulo Tácito Gontijo Ajayi, Ayodele Ebenezer |
author_role |
author |
author2 |
Dias Júnior, Moacir de Souza Oliveira, Marcelo Silva de Santos, Gérson Rodrigues dos Guimarães, Paulo Tácito Gontijo Ajayi, Ayodele Ebenezer |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Kamimura, Karina Marie Dias Júnior, Moacir de Souza Oliveira, Marcelo Silva de Santos, Gérson Rodrigues dos Guimarães, Paulo Tácito Gontijo Ajayi, Ayodele Ebenezer |
dc.subject.por.fl_str_mv |
Soil compaction Geostatistics Load-bearing capacity Compactação do solo Geoestatística Capacidade de carga |
topic |
Soil compaction Geostatistics Load-bearing capacity Compactação do solo Geoestatística Capacidade de carga |
description |
The intensive agricultural machinery traffic to which soils under coffee crops are exposed may cause significant changes in soil structure. The goals of this study were to: a) characterize the spatial variability of precompression stress (σp) and volumetric water content (θ) of a Red-Yellow Latosol (Oxisol) and determine their spatially dependent structures using ordinary kriging semivariograms; b) using this date to construct a load-bearing capacity (LBC) map for the site, identifying the depth with higher ; and c) use the map as a decision support tool regarding agricultural machinery logistic management in coffee plantations. The research was conducted on an experimental farm of the Agricultural Research Company of Minas Gerais (Epamig), Patrocinio, MG, on a clayey Oxisol. Samples were collected from 2.0 × 1.5 m sampling pits at intersections of a rectangular 40 × 150 m grid, totaling 28 sampling points. The soil samples were collected with metal rings (0.0254 m in height and 0.0630 m in diameter) using an Uhland sampler. Sampling at each pit was at 3 layers: 0.00–0.03 m, 0.10–0.13 m, and 0.25–0.28 m, and seven samples arranged in a matrix form were collected at each layer, totaling 588 samples. The σp and θ showed a spatially dependent structure. The depth of 0.00–0.03 m showed higher LBC, indicating that this depth was more compacted compared to other depths. Based on the σp maps, the tractor and the combine should not traffic into the areas at water content of 0.45 m3 m-3, because the soil has a LBC of 200 kPa. If this condition is not respected, additional compaction will occur. Tractor traffic is permissible when the water content reaches values less than 0.36 m3 m-3, whereas for combine traffic, the water content values must be less than 0.30 m3 m-3. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-09-08T19:01:47Z 2020-09-08T19:01:47Z 2020-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
KAMIMURA, K. M. et al. Spatial variability of precompression stress and volumetric water content of a red-yellow latosol (Oxisol). Bioscience Journal, Uberlândia, v. 36, n. 1, p. 142-151, jan./fev. 2020. DOI: https://doi.org/10.14393/BJ-v36n1a2020-42121. http://repositorio.ufla.br/jspui/handle/1/42937 |
identifier_str_mv |
KAMIMURA, K. M. et al. Spatial variability of precompression stress and volumetric water content of a red-yellow latosol (Oxisol). Bioscience Journal, Uberlândia, v. 36, n. 1, p. 142-151, jan./fev. 2020. DOI: https://doi.org/10.14393/BJ-v36n1a2020-42121. |
url |
http://repositorio.ufla.br/jspui/handle/1/42937 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Uberlândia |
publisher.none.fl_str_mv |
Universidade Federal de Uberlândia |
dc.source.none.fl_str_mv |
Bioscience Journal reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
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1807835084772868096 |