Glyphosate dynamics prediction in a soil under conventional and no-tillage systems during the crop cycle

Detalhes bibliográficos
Autor(a) principal: Villarreal,Rafael
Data de Publicação: 2020
Outros Autores: Soracco,Carlos Germán, Salazar,María Paz, Bellora,Guido Lautaro, Valdés-Abellán,Javier, Lozano,Luis Alberto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Ciência do Solo (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832020000100404
Resumo: ABSTRACT Simulation models are efficient tools to predict the fate of different solutes in agricultural soils. This work aimed to compare measured and predicted glyphosate and AMPA (aminomethyl phosphonic acid; its main metabolite) contents in a soil under no-tillage (NT), and conventional tillage (CT); and to compare the predictions considering constant and time-variable hydraulic properties. Additionally, we evaluated the ability of the model to predict glyphosate and AMPA accumulation during the crop cycle. Hydrus 1-D code was used to predict the glyphosate and AMPA dynamics, considering constant and time-variable hydraulic properties during the studied crop cycle. In general, the prediction of glyphosate and AMPA distribution along the soil profile using HYDRUS 1-D was satisfactory; however, an overestimation of both compounds was observed in the first 0.20 m of the soil probably because of the preferential flow. Additionally, the accumulation process of glyphosate and AMPA in the soil during the crop cycle was underestimated by HYDRUS 1-D, as compared with the observed field data. Simulated data show that higher values of K0 increase the risk of glyphosate and AMPA vertical transport. The inclusion of temporal variation of hydraulic properties in glyphosate and AMPA simulation did not improve the simulation performance, showing that the model is more sensitive to the parameters related to the solutes. From the obtained results, HYDRUS 1-D code allowed to predict glyphosate and AMPA dynamics reasonably well in agricultural soils of the Argentinean Pampas region and is a potential model to give support in the analysis of the environmental risk of leaching and soil contamination.
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spelling Glyphosate dynamics prediction in a soil under conventional and no-tillage systems during the crop cyclehydraulic conductivitysolute transportpesticide fateHYDRUS 1-DABSTRACT Simulation models are efficient tools to predict the fate of different solutes in agricultural soils. This work aimed to compare measured and predicted glyphosate and AMPA (aminomethyl phosphonic acid; its main metabolite) contents in a soil under no-tillage (NT), and conventional tillage (CT); and to compare the predictions considering constant and time-variable hydraulic properties. Additionally, we evaluated the ability of the model to predict glyphosate and AMPA accumulation during the crop cycle. Hydrus 1-D code was used to predict the glyphosate and AMPA dynamics, considering constant and time-variable hydraulic properties during the studied crop cycle. In general, the prediction of glyphosate and AMPA distribution along the soil profile using HYDRUS 1-D was satisfactory; however, an overestimation of both compounds was observed in the first 0.20 m of the soil probably because of the preferential flow. Additionally, the accumulation process of glyphosate and AMPA in the soil during the crop cycle was underestimated by HYDRUS 1-D, as compared with the observed field data. Simulated data show that higher values of K0 increase the risk of glyphosate and AMPA vertical transport. The inclusion of temporal variation of hydraulic properties in glyphosate and AMPA simulation did not improve the simulation performance, showing that the model is more sensitive to the parameters related to the solutes. From the obtained results, HYDRUS 1-D code allowed to predict glyphosate and AMPA dynamics reasonably well in agricultural soils of the Argentinean Pampas region and is a potential model to give support in the analysis of the environmental risk of leaching and soil contamination.Sociedade Brasileira de Ciência do Solo2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832020000100404Revista Brasileira de Ciência do Solo v.44 2020reponame:Revista Brasileira de Ciência do Solo (Online)instname:Sociedade Brasileira de Ciência do Solo (SBCS)instacron:SBCS10.36783/18069657rbcs20190130info:eu-repo/semantics/openAccessVillarreal,RafaelSoracco,Carlos GermánSalazar,María PazBellora,Guido LautaroValdés-Abellán,JavierLozano,Luis Albertoeng2020-06-09T00:00:00Zoai:scielo:S0100-06832020000100404Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=0100-0683&lng=es&nrm=isohttps://old.scielo.br/oai/scielo-oai.php||sbcs@ufv.br1806-96570100-0683opendoar:2020-06-09T00:00Revista Brasileira de Ciência do Solo (Online) - Sociedade Brasileira de Ciência do Solo (SBCS)false
dc.title.none.fl_str_mv Glyphosate dynamics prediction in a soil under conventional and no-tillage systems during the crop cycle
title Glyphosate dynamics prediction in a soil under conventional and no-tillage systems during the crop cycle
spellingShingle Glyphosate dynamics prediction in a soil under conventional and no-tillage systems during the crop cycle
Villarreal,Rafael
hydraulic conductivity
solute transport
pesticide fate
HYDRUS 1-D
title_short Glyphosate dynamics prediction in a soil under conventional and no-tillage systems during the crop cycle
title_full Glyphosate dynamics prediction in a soil under conventional and no-tillage systems during the crop cycle
title_fullStr Glyphosate dynamics prediction in a soil under conventional and no-tillage systems during the crop cycle
title_full_unstemmed Glyphosate dynamics prediction in a soil under conventional and no-tillage systems during the crop cycle
title_sort Glyphosate dynamics prediction in a soil under conventional and no-tillage systems during the crop cycle
author Villarreal,Rafael
author_facet Villarreal,Rafael
Soracco,Carlos Germán
Salazar,María Paz
Bellora,Guido Lautaro
Valdés-Abellán,Javier
Lozano,Luis Alberto
author_role author
author2 Soracco,Carlos Germán
Salazar,María Paz
Bellora,Guido Lautaro
Valdés-Abellán,Javier
Lozano,Luis Alberto
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Villarreal,Rafael
Soracco,Carlos Germán
Salazar,María Paz
Bellora,Guido Lautaro
Valdés-Abellán,Javier
Lozano,Luis Alberto
dc.subject.por.fl_str_mv hydraulic conductivity
solute transport
pesticide fate
HYDRUS 1-D
topic hydraulic conductivity
solute transport
pesticide fate
HYDRUS 1-D
description ABSTRACT Simulation models are efficient tools to predict the fate of different solutes in agricultural soils. This work aimed to compare measured and predicted glyphosate and AMPA (aminomethyl phosphonic acid; its main metabolite) contents in a soil under no-tillage (NT), and conventional tillage (CT); and to compare the predictions considering constant and time-variable hydraulic properties. Additionally, we evaluated the ability of the model to predict glyphosate and AMPA accumulation during the crop cycle. Hydrus 1-D code was used to predict the glyphosate and AMPA dynamics, considering constant and time-variable hydraulic properties during the studied crop cycle. In general, the prediction of glyphosate and AMPA distribution along the soil profile using HYDRUS 1-D was satisfactory; however, an overestimation of both compounds was observed in the first 0.20 m of the soil probably because of the preferential flow. Additionally, the accumulation process of glyphosate and AMPA in the soil during the crop cycle was underestimated by HYDRUS 1-D, as compared with the observed field data. Simulated data show that higher values of K0 increase the risk of glyphosate and AMPA vertical transport. The inclusion of temporal variation of hydraulic properties in glyphosate and AMPA simulation did not improve the simulation performance, showing that the model is more sensitive to the parameters related to the solutes. From the obtained results, HYDRUS 1-D code allowed to predict glyphosate and AMPA dynamics reasonably well in agricultural soils of the Argentinean Pampas region and is a potential model to give support in the analysis of the environmental risk of leaching and soil contamination.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
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=S0100-06832020000100404
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.36783/18069657rbcs20190130
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Ciência do Solo
publisher.none.fl_str_mv Sociedade Brasileira de Ciência do Solo
dc.source.none.fl_str_mv Revista Brasileira de Ciência do Solo v.44 2020
reponame:Revista Brasileira de Ciência do Solo (Online)
instname:Sociedade Brasileira de Ciência do Solo (SBCS)
instacron:SBCS
instname_str Sociedade Brasileira de Ciência do Solo (SBCS)
instacron_str SBCS
institution SBCS
reponame_str Revista Brasileira de Ciência do Solo (Online)
collection Revista Brasileira de Ciência do Solo (Online)
repository.name.fl_str_mv Revista Brasileira de Ciência do Solo (Online) - Sociedade Brasileira de Ciência do Solo (SBCS)
repository.mail.fl_str_mv ||sbcs@ufv.br
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