Modelling of soil penetration resistance for an oxisol under no-tillage

Detalhes bibliográficos
Autor(a) principal: Tavares Filho,João
Data de Publicação: 2012
Outros Autores: Feltran,Clarissa Tieme Matsuda, Oliveira,José Francirlei de, Almeida,Edinei de
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=S0100-06832012000100010
Resumo: Soil penetration resistance is an important property that affects root growth and elongation and water movement in the soil. Since no-till systems tend to increase organic matter in the soil, the purpose of this study was to evaluate the efficiency with which soil penetration resistance is estimated using a proposed model based on moisture content, density and organic matter content in an Oxisol containing 665, 221 and 114 g kg-1 of clay, silt and sand respectively under annual no-till cropping, located in Londrina, Paraná State, Brazil. Penetration resistance was evaluated at random locations continually from May 2008 to February 2011, using an impact penetrometer to obtain a total of 960 replications. For the measurements, soil was sampled at depths of 0 to 20 cm to determine gravimetric moisture (G), bulk density (D) and organic matter content (M). The penetration resistance curve (PR) was adjusted using two non-linear models (PR = a Db Gc and PR' = a Db Gc Md), where a, b, c and d are coefficients of the adjusted model. It was found that the model that included M was the most efficient for estimating PR, explaining 91 % of PR variability, compared to 82 % of the other model.
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spelling Modelling of soil penetration resistance for an oxisol under no-tillageno-tillcompactionphysical propertiesorganic matterSoil penetration resistance is an important property that affects root growth and elongation and water movement in the soil. Since no-till systems tend to increase organic matter in the soil, the purpose of this study was to evaluate the efficiency with which soil penetration resistance is estimated using a proposed model based on moisture content, density and organic matter content in an Oxisol containing 665, 221 and 114 g kg-1 of clay, silt and sand respectively under annual no-till cropping, located in Londrina, Paraná State, Brazil. Penetration resistance was evaluated at random locations continually from May 2008 to February 2011, using an impact penetrometer to obtain a total of 960 replications. For the measurements, soil was sampled at depths of 0 to 20 cm to determine gravimetric moisture (G), bulk density (D) and organic matter content (M). The penetration resistance curve (PR) was adjusted using two non-linear models (PR = a Db Gc and PR' = a Db Gc Md), where a, b, c and d are coefficients of the adjusted model. It was found that the model that included M was the most efficient for estimating PR, explaining 91 % of PR variability, compared to 82 % of the other model.Sociedade Brasileira de Ciência do Solo2012-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832012000100010Revista Brasileira de Ciência do Solo v.36 n.1 2012reponame:Revista Brasileira de Ciência do Solo (Online)instname:Sociedade Brasileira de Ciência do Solo (SBCS)instacron:SBCS10.1590/S0100-06832012000100010info:eu-repo/semantics/openAccessTavares Filho,JoãoFeltran,Clarissa Tieme MatsudaOliveira,José Francirlei deAlmeida,Edinei deeng2012-04-16T00:00:00Zoai:scielo:S0100-06832012000100010Revistahttp://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:2012-04-16T00:00Revista Brasileira de Ciência do Solo (Online) - Sociedade Brasileira de Ciência do Solo (SBCS)false
dc.title.none.fl_str_mv Modelling of soil penetration resistance for an oxisol under no-tillage
title Modelling of soil penetration resistance for an oxisol under no-tillage
spellingShingle Modelling of soil penetration resistance for an oxisol under no-tillage
Tavares Filho,João
no-till
compaction
physical properties
organic matter
title_short Modelling of soil penetration resistance for an oxisol under no-tillage
title_full Modelling of soil penetration resistance for an oxisol under no-tillage
title_fullStr Modelling of soil penetration resistance for an oxisol under no-tillage
title_full_unstemmed Modelling of soil penetration resistance for an oxisol under no-tillage
title_sort Modelling of soil penetration resistance for an oxisol under no-tillage
author Tavares Filho,João
author_facet Tavares Filho,João
Feltran,Clarissa Tieme Matsuda
Oliveira,José Francirlei de
Almeida,Edinei de
author_role author
author2 Feltran,Clarissa Tieme Matsuda
Oliveira,José Francirlei de
Almeida,Edinei de
author2_role author
author
author
dc.contributor.author.fl_str_mv Tavares Filho,João
Feltran,Clarissa Tieme Matsuda
Oliveira,José Francirlei de
Almeida,Edinei de
dc.subject.por.fl_str_mv no-till
compaction
physical properties
organic matter
topic no-till
compaction
physical properties
organic matter
description Soil penetration resistance is an important property that affects root growth and elongation and water movement in the soil. Since no-till systems tend to increase organic matter in the soil, the purpose of this study was to evaluate the efficiency with which soil penetration resistance is estimated using a proposed model based on moisture content, density and organic matter content in an Oxisol containing 665, 221 and 114 g kg-1 of clay, silt and sand respectively under annual no-till cropping, located in Londrina, Paraná State, Brazil. Penetration resistance was evaluated at random locations continually from May 2008 to February 2011, using an impact penetrometer to obtain a total of 960 replications. For the measurements, soil was sampled at depths of 0 to 20 cm to determine gravimetric moisture (G), bulk density (D) and organic matter content (M). The penetration resistance curve (PR) was adjusted using two non-linear models (PR = a Db Gc and PR' = a Db Gc Md), where a, b, c and d are coefficients of the adjusted model. It was found that the model that included M was the most efficient for estimating PR, explaining 91 % of PR variability, compared to 82 % of the other model.
publishDate 2012
dc.date.none.fl_str_mv 2012-02-01
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=S0100-06832012000100010
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832012000100010
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0100-06832012000100010
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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.36 n.1 2012
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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