Path coefficient analysis, a different approach to identify soil quality indicators
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 res...
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Universidade Federal de Campina Grande
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| Series: | Revista Brasileira de Engenharia Agrícola e Ambiental |
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| author | Júlio C. Ramos Ildegardis Bertol Douglas H. Bandeira Fabrício T. Barbosa Fernanda Zangiski |
| author_facet | Júlio C. Ramos Ildegardis Bertol Douglas H. Bandeira Fabrício T. Barbosa Fernanda Zangiski |
| author_sort | Júlio C. Ramos |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-b4f9dc0ff99a4f8380f3c0e2655fe7a8 |
| institution | Kabale University |
| issn | 1807-1929 |
| language | English |
| publisher | Universidade Federal de Campina Grande |
| record_format | Article |
| series | Revista Brasileira de Engenharia Agrícola e Ambiental |
| spelling | doaj-art-b4f9dc0ff99a4f8380f3c0e2655fe7a82025-08-20T03:24:33ZengUniversidade Federal de Campina GrandeRevista Brasileira de Engenharia Agrícola e Ambiental1807-192923754555110.1590/1807-1929/agriambi.v23n7p545-551S1415-43662019000700545Path coefficient analysis, a different approach to identify soil quality indicatorsJúlio C. RamosIldegardis BertolDouglas H. BandeiraFabrício T. BarbosaFernanda ZangiskiABSTRACT 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000700545&lng=en&tlng=encobertura do solorugosidade superficialperdas de solo |
| spellingShingle | Júlio C. Ramos Ildegardis Bertol Douglas H. Bandeira Fabrício T. Barbosa Fernanda Zangiski Path coefficient analysis, a different approach to identify soil quality indicators Revista Brasileira de Engenharia Agrícola e Ambiental cobertura do solo rugosidade superficial perdas de solo |
| title | 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_short | Path coefficient analysis, a different approach to identify soil quality indicators |
| title_sort | path coefficient analysis a different approach to identify soil quality indicators |
| topic | cobertura do solo rugosidade superficial perdas de solo |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000700545&lng=en&tlng=en |
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