Path coefficient analysis, a different approach to identify soil quality indicators

Detalhes bibliográficos
Autor(a) principal: Ramos,Júlio C.
Data de Publicação: 2019
Outros Autores: Bertol,Ildegardis, Bandeira,Douglas H., Barbosa,Fabrício T., Zangiski,Fernanda
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000700545
Resumo: ABSTRACT Soil quality indicators related to water erosion reduction can assist with correct soil management. The objective of this research was to identify some variables that could be used as soil quality indicators with the aid of path coefficient analysis in order to reduce water erosion. The research was carried out in the field between May 2011 and April 2013 in southern Brazil on an Inceptisol. The following treatments were studied under simulated rainfall conditions: 1) no-tilled, cultivated and covered by cultural residue of ryegrass (Lolium multiflorum) (HCR); 2) no-tilled, cultivated and covered by crop residue of vetch (Vicia sativa) (HCV); 3) cultivated and scarified soil containing ryegrass roots (HRR); 4) cultivated and scarified soil containing vetch roots (HRV); and 5) bare and chiselled soil (BHR). Eight simulated rainfalls were applied in each treatment. Flow velocity, soil and water losses as well as variables or soil attributes influenced by management were quantified. Path coefficient analysis verified that the coverage, surface roughness, water infiltration rate and total organic carbon have the greatest direct or indirect relationships with soil and water losses or runoff velocity. These variables were indicative of soil quality, particularly its resistance to water erosion. In a rough soil, the total organic carbon, root mass and macroporosity of the soil are more important as indicators for soil resistance to water erosion.
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spelling Path coefficient analysis, a different approach to identify soil quality indicatorssoil coversurface roughnesssoil lossesABSTRACT Soil quality indicators related to water erosion reduction can assist with correct soil management. The objective of this research was to identify some variables that could be used as soil quality indicators with the aid of path coefficient analysis in order to reduce water erosion. The research was carried out in the field between May 2011 and April 2013 in southern Brazil on an Inceptisol. The following treatments were studied under simulated rainfall conditions: 1) no-tilled, cultivated and covered by cultural residue of ryegrass (Lolium multiflorum) (HCR); 2) no-tilled, cultivated and covered by crop residue of vetch (Vicia sativa) (HCV); 3) cultivated and scarified soil containing ryegrass roots (HRR); 4) cultivated and scarified soil containing vetch roots (HRV); and 5) bare and chiselled soil (BHR). Eight simulated rainfalls were applied in each treatment. Flow velocity, soil and water losses as well as variables or soil attributes influenced by management were quantified. Path coefficient analysis verified that the coverage, surface roughness, water infiltration rate and total organic carbon have the greatest direct or indirect relationships with soil and water losses or runoff velocity. These variables were indicative of soil quality, particularly its resistance to water erosion. In a rough soil, the total organic carbon, root mass and macroporosity of the soil are more important as indicators for soil resistance to water erosion.Departamento de Engenharia Agrícola - UFCG2019-07-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000700545Revista Brasileira de Engenharia Agrícola e Ambiental v.23 n.7 2019reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/1807-1929/agriambi.v23n7p545-551info:eu-repo/semantics/openAccessRamos,Júlio C.Bertol,IldegardisBandeira,Douglas H.Barbosa,Fabrício T.Zangiski,Fernandaeng2019-07-04T00:00:00Zoai:scielo:S1415-43662019000700545Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2019-07-04T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false
dc.title.none.fl_str_mv Path coefficient analysis, a different approach to identify soil quality indicators
title Path coefficient analysis, a different approach to identify soil quality indicators
spellingShingle Path coefficient analysis, a different approach to identify soil quality indicators
Ramos,Júlio C.
soil cover
surface roughness
soil losses
title_short Path coefficient analysis, a different approach to identify soil quality indicators
title_full Path coefficient analysis, a different approach to identify soil quality indicators
title_fullStr Path coefficient analysis, a different approach to identify soil quality indicators
title_full_unstemmed Path coefficient analysis, a different approach to identify soil quality indicators
title_sort Path coefficient analysis, a different approach to identify soil quality indicators
author Ramos,Júlio C.
author_facet Ramos,Júlio C.
Bertol,Ildegardis
Bandeira,Douglas H.
Barbosa,Fabrício T.
Zangiski,Fernanda
author_role author
author2 Bertol,Ildegardis
Bandeira,Douglas H.
Barbosa,Fabrício T.
Zangiski,Fernanda
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Ramos,Júlio C.
Bertol,Ildegardis
Bandeira,Douglas H.
Barbosa,Fabrício T.
Zangiski,Fernanda
dc.subject.por.fl_str_mv soil cover
surface roughness
soil losses
topic soil cover
surface roughness
soil losses
description ABSTRACT Soil quality indicators related to water erosion reduction can assist with correct soil management. The objective of this research was to identify some variables that could be used as soil quality indicators with the aid of path coefficient analysis in order to reduce water erosion. The research was carried out in the field between May 2011 and April 2013 in southern Brazil on an Inceptisol. The following treatments were studied under simulated rainfall conditions: 1) no-tilled, cultivated and covered by cultural residue of ryegrass (Lolium multiflorum) (HCR); 2) no-tilled, cultivated and covered by crop residue of vetch (Vicia sativa) (HCV); 3) cultivated and scarified soil containing ryegrass roots (HRR); 4) cultivated and scarified soil containing vetch roots (HRV); and 5) bare and chiselled soil (BHR). Eight simulated rainfalls were applied in each treatment. Flow velocity, soil and water losses as well as variables or soil attributes influenced by management were quantified. Path coefficient analysis verified that the coverage, surface roughness, water infiltration rate and total organic carbon have the greatest direct or indirect relationships with soil and water losses or runoff velocity. These variables were indicative of soil quality, particularly its resistance to water erosion. In a rough soil, the total organic carbon, root mass and macroporosity of the soil are more important as indicators for soil resistance to water erosion.
publishDate 2019
dc.date.none.fl_str_mv 2019-07-01
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 10.1590/1807-1929/agriambi.v23n7p545-551
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dc.publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
dc.source.none.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental v.23 n.7 2019
reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
instname:Universidade Federal de Campina Grande (UFCG)
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