Temporal Variation of Soil Physical Quality under Conventional and No-Till Systems
- Autores
- Soracco, Carlos Germán; Lozano, Luis Alberto; Villarreal, Rafael; Melani, Esteban; Sarli, Guillermo Oliverio
- Año de publicación
- 2018
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Determination of soil physical quality (SPQ) is very important because it is related to many important soil processes. However, it is not clear which indicators should be considered in this evaluation, and information about temporal variation of SPQ under different soil tillage systems is scarce. The aim of this study was to determine the effects of no tillage (NT) and conventional tillage (CT) on temporal variation of capacity SPQ indicators [bulk density (BD), macroporosity (Pmac), air capacity (AC), plant available water capacity (PAWC), relative field capacity (RFC), Dexter's (S), and structural stability index (SSI)], and dynamic SPQ indicators [field saturated hydraulic conductivity (K0), water-conducting macroporosity (εma), and mesoporosity (εme); and pore continuity indexes based on water flux of total porosity (CWTP), of macroporosity (CWmac), and of mesoporosity (Cwmes)]. Additionally, the effect of the soil management system on corn yield was evaluated. Measurements and determinations were made at four different moments/cropping stages in the corn growing season (BS: before seeding; V6: six leaf stage; R5: physiological maturity; and AH: after harvest). Capacity SPQ indicators were derived from the soil water retention curve determined using sand box and pressure chambers, and dynamic SPQ indicators were derived from field infiltration data measured using a tension disc infiltrometer. Most capacity SPQ indicators were affected by the moment/cropping stage in which samples were taken, but followed similar trends and had similar values under both treatments, particularly in the AH stage. Dynamic SPQ indicators varied differently during the growing season depending on the management system. Under NT, most dynamic indicators increase from BS to V6 and decrease again at AH, whereas under CT, they follow a different trend, decreasing from BS to V6, remaining constant until R5, and increasing at AH. Corn yield was lower under CT (NT: 10,939 kg ha−1; CT: 8,265 kg ha−1). These results emphasize the need to include dynamic SPQ indicators, and their temporal variation when evaluating cropping systems with the aim of modeling crop yields. The capacity SPQ indicators were not able to distinguish between treatments.
EEA Cuenca del Salado
Fil: Soracco, Carlos Germán. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Lozano, Luis Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Villarreal, Rafael. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Melani, Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Cuenca del Salado. Agencia de Extensión Rural Chascomus; Argentina
Fil: Sarli, Guillermo Oliverio. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales. Centro de Investigación de Suelos para la Sustentabilidad Agropecuaria y Forestal; Argentina - Fuente
- Revista Brasileira de Ciência do Solo 42 : e0170408 (Apr. 2018)
- Materia
-
Suelo
Calidad
Propiedades Físico - Químicas Suelo
Conductividad Hidráulica
Labranza Convencional
Cero-labranza
Soil
Quality
Soil Chemicophysical Properties
Hydraulic Conductivity
Conventional Tillage
Zero Tillage - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/2582
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Temporal Variation of Soil Physical Quality under Conventional and No-Till SystemsSoracco, Carlos GermánLozano, Luis AlbertoVillarreal, RafaelMelani, EstebanSarli, Guillermo OliverioSueloCalidadPropiedades Físico - Químicas SueloConductividad HidráulicaLabranza ConvencionalCero-labranzaSoilQualitySoil Chemicophysical PropertiesHydraulic ConductivityConventional TillageZero TillageDetermination of soil physical quality (SPQ) is very important because it is related to many important soil processes. However, it is not clear which indicators should be considered in this evaluation, and information about temporal variation of SPQ under different soil tillage systems is scarce. The aim of this study was to determine the effects of no tillage (NT) and conventional tillage (CT) on temporal variation of capacity SPQ indicators [bulk density (BD), macroporosity (Pmac), air capacity (AC), plant available water capacity (PAWC), relative field capacity (RFC), Dexter's (S), and structural stability index (SSI)], and dynamic SPQ indicators [field saturated hydraulic conductivity (K0), water-conducting macroporosity (εma), and mesoporosity (εme); and pore continuity indexes based on water flux of total porosity (CWTP), of macroporosity (CWmac), and of mesoporosity (Cwmes)]. Additionally, the effect of the soil management system on corn yield was evaluated. Measurements and determinations were made at four different moments/cropping stages in the corn growing season (BS: before seeding; V6: six leaf stage; R5: physiological maturity; and AH: after harvest). Capacity SPQ indicators were derived from the soil water retention curve determined using sand box and pressure chambers, and dynamic SPQ indicators were derived from field infiltration data measured using a tension disc infiltrometer. Most capacity SPQ indicators were affected by the moment/cropping stage in which samples were taken, but followed similar trends and had similar values under both treatments, particularly in the AH stage. Dynamic SPQ indicators varied differently during the growing season depending on the management system. Under NT, most dynamic indicators increase from BS to V6 and decrease again at AH, whereas under CT, they follow a different trend, decreasing from BS to V6, remaining constant until R5, and increasing at AH. Corn yield was lower under CT (NT: 10,939 kg ha−1; CT: 8,265 kg ha−1). These results emphasize the need to include dynamic SPQ indicators, and their temporal variation when evaluating cropping systems with the aim of modeling crop yields. The capacity SPQ indicators were not able to distinguish between treatments.EEA Cuenca del SaladoFil: Soracco, Carlos Germán. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Lozano, Luis Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Villarreal, Rafael. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Melani, Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Cuenca del Salado. Agencia de Extensión Rural Chascomus; ArgentinaFil: Sarli, Guillermo Oliverio. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales. Centro de Investigación de Suelos para la Sustentabilidad Agropecuaria y Forestal; Argentina2018-06-08T16:05:31Z2018-06-08T16:05:31Z2018-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/2582https://www.sbcs.org.br/wp-content/uploads/2018/03/v42e0170408.pdf0100-06831806-9657https://doi.org/10.1590/18069657rbcs20170408Revista Brasileira de Ciência do Solo 42 : e0170408 (Apr. 2018)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-29T13:44:20Zoai:localhost:20.500.12123/2582instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:44:20.576INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
dc.title.none.fl_str_mv |
Temporal Variation of Soil Physical Quality under Conventional and No-Till Systems |
title |
Temporal Variation of Soil Physical Quality under Conventional and No-Till Systems |
spellingShingle |
Temporal Variation of Soil Physical Quality under Conventional and No-Till Systems Soracco, Carlos Germán Suelo Calidad Propiedades Físico - Químicas Suelo Conductividad Hidráulica Labranza Convencional Cero-labranza Soil Quality Soil Chemicophysical Properties Hydraulic Conductivity Conventional Tillage Zero Tillage |
title_short |
Temporal Variation of Soil Physical Quality under Conventional and No-Till Systems |
title_full |
Temporal Variation of Soil Physical Quality under Conventional and No-Till Systems |
title_fullStr |
Temporal Variation of Soil Physical Quality under Conventional and No-Till Systems |
title_full_unstemmed |
Temporal Variation of Soil Physical Quality under Conventional and No-Till Systems |
title_sort |
Temporal Variation of Soil Physical Quality under Conventional and No-Till Systems |
dc.creator.none.fl_str_mv |
Soracco, Carlos Germán Lozano, Luis Alberto Villarreal, Rafael Melani, Esteban Sarli, Guillermo Oliverio |
author |
Soracco, Carlos Germán |
author_facet |
Soracco, Carlos Germán Lozano, Luis Alberto Villarreal, Rafael Melani, Esteban Sarli, Guillermo Oliverio |
author_role |
author |
author2 |
Lozano, Luis Alberto Villarreal, Rafael Melani, Esteban Sarli, Guillermo Oliverio |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
Suelo Calidad Propiedades Físico - Químicas Suelo Conductividad Hidráulica Labranza Convencional Cero-labranza Soil Quality Soil Chemicophysical Properties Hydraulic Conductivity Conventional Tillage Zero Tillage |
topic |
Suelo Calidad Propiedades Físico - Químicas Suelo Conductividad Hidráulica Labranza Convencional Cero-labranza Soil Quality Soil Chemicophysical Properties Hydraulic Conductivity Conventional Tillage Zero Tillage |
dc.description.none.fl_txt_mv |
Determination of soil physical quality (SPQ) is very important because it is related to many important soil processes. However, it is not clear which indicators should be considered in this evaluation, and information about temporal variation of SPQ under different soil tillage systems is scarce. The aim of this study was to determine the effects of no tillage (NT) and conventional tillage (CT) on temporal variation of capacity SPQ indicators [bulk density (BD), macroporosity (Pmac), air capacity (AC), plant available water capacity (PAWC), relative field capacity (RFC), Dexter's (S), and structural stability index (SSI)], and dynamic SPQ indicators [field saturated hydraulic conductivity (K0), water-conducting macroporosity (εma), and mesoporosity (εme); and pore continuity indexes based on water flux of total porosity (CWTP), of macroporosity (CWmac), and of mesoporosity (Cwmes)]. Additionally, the effect of the soil management system on corn yield was evaluated. Measurements and determinations were made at four different moments/cropping stages in the corn growing season (BS: before seeding; V6: six leaf stage; R5: physiological maturity; and AH: after harvest). Capacity SPQ indicators were derived from the soil water retention curve determined using sand box and pressure chambers, and dynamic SPQ indicators were derived from field infiltration data measured using a tension disc infiltrometer. Most capacity SPQ indicators were affected by the moment/cropping stage in which samples were taken, but followed similar trends and had similar values under both treatments, particularly in the AH stage. Dynamic SPQ indicators varied differently during the growing season depending on the management system. Under NT, most dynamic indicators increase from BS to V6 and decrease again at AH, whereas under CT, they follow a different trend, decreasing from BS to V6, remaining constant until R5, and increasing at AH. Corn yield was lower under CT (NT: 10,939 kg ha−1; CT: 8,265 kg ha−1). These results emphasize the need to include dynamic SPQ indicators, and their temporal variation when evaluating cropping systems with the aim of modeling crop yields. The capacity SPQ indicators were not able to distinguish between treatments. EEA Cuenca del Salado Fil: Soracco, Carlos Germán. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Lozano, Luis Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Villarreal, Rafael. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Melani, Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Cuenca del Salado. Agencia de Extensión Rural Chascomus; Argentina Fil: Sarli, Guillermo Oliverio. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales. Centro de Investigación de Suelos para la Sustentabilidad Agropecuaria y Forestal; Argentina |
description |
Determination of soil physical quality (SPQ) is very important because it is related to many important soil processes. However, it is not clear which indicators should be considered in this evaluation, and information about temporal variation of SPQ under different soil tillage systems is scarce. The aim of this study was to determine the effects of no tillage (NT) and conventional tillage (CT) on temporal variation of capacity SPQ indicators [bulk density (BD), macroporosity (Pmac), air capacity (AC), plant available water capacity (PAWC), relative field capacity (RFC), Dexter's (S), and structural stability index (SSI)], and dynamic SPQ indicators [field saturated hydraulic conductivity (K0), water-conducting macroporosity (εma), and mesoporosity (εme); and pore continuity indexes based on water flux of total porosity (CWTP), of macroporosity (CWmac), and of mesoporosity (Cwmes)]. Additionally, the effect of the soil management system on corn yield was evaluated. Measurements and determinations were made at four different moments/cropping stages in the corn growing season (BS: before seeding; V6: six leaf stage; R5: physiological maturity; and AH: after harvest). Capacity SPQ indicators were derived from the soil water retention curve determined using sand box and pressure chambers, and dynamic SPQ indicators were derived from field infiltration data measured using a tension disc infiltrometer. Most capacity SPQ indicators were affected by the moment/cropping stage in which samples were taken, but followed similar trends and had similar values under both treatments, particularly in the AH stage. Dynamic SPQ indicators varied differently during the growing season depending on the management system. Under NT, most dynamic indicators increase from BS to V6 and decrease again at AH, whereas under CT, they follow a different trend, decreasing from BS to V6, remaining constant until R5, and increasing at AH. Corn yield was lower under CT (NT: 10,939 kg ha−1; CT: 8,265 kg ha−1). These results emphasize the need to include dynamic SPQ indicators, and their temporal variation when evaluating cropping systems with the aim of modeling crop yields. The capacity SPQ indicators were not able to distinguish between treatments. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-06-08T16:05:31Z 2018-06-08T16:05:31Z 2018-04 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/20.500.12123/2582 https://www.sbcs.org.br/wp-content/uploads/2018/03/v42e0170408.pdf 0100-0683 1806-9657 https://doi.org/10.1590/18069657rbcs20170408 |
url |
http://hdl.handle.net/20.500.12123/2582 https://www.sbcs.org.br/wp-content/uploads/2018/03/v42e0170408.pdf https://doi.org/10.1590/18069657rbcs20170408 |
identifier_str_mv |
0100-0683 1806-9657 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
Revista Brasileira de Ciência do Solo 42 : e0170408 (Apr. 2018) reponame:INTA Digital (INTA) instname:Instituto Nacional de Tecnología Agropecuaria |
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INTA Digital (INTA) |
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INTA Digital (INTA) |
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Instituto Nacional de Tecnología Agropecuaria |
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INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria |
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tripaldi.nicolas@inta.gob.ar |
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