Mapping soil compaction using indicator kriging in Santa Fe province, Argentina

Autores
Alesso, Carlos Agustín; Carrizo, Maria Eugenia; Imhoff, Silvia del Carmen
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Soil compaction is a complex physical process that affects the crop performance by limiting the expansion of the roots and the reduction of water and nutrients uptake from soil. Due to the spatial variability of soil compaction, the needs for remedial practices may vary within the field. However mapping soil compaction estimated by cone index (CI) data is a difficult task. The aim of this study were to examine the spatial variability of CI data in a fine-mixed-thermic Typic Argiudoll form the center of Santa Fe (Argentina) under no-till system, and to delineate zones for site-specific tillage based on maps of probabilities of occurrence of soil compaction developed using indicator kriging. Sixty nine georeferenced CI and volumetric water content (SWC) measurements were recorded in a 70 x 110 m experimental area. Sample locations were distributed following a pseudo-regular grid avoiding visible machinery footprint. An indicator variable was created by splitting the sampling locations into two groups based on the CI profiles within 0-30 cm depth. The spatial structure of the CI data aggregated by 10-cm layers and the indicator variable was assessed by a model-based approach. The high variability and poor spatial structure observed in CI data was attributed to the effect of tillage and traffic under the sampling scale. This feature.underpinned the application of spatial interpolation techniques for this property. However, maps of the probability of occurrence of soil compaction in the root zone were be obtained by integrating the cone index data of the arable horizon (0-30 cm) using the indicator kriging approach. Such probability maps could be useful for the delineation of potential zones for site-specific tillage.
Fil: Alesso, Carlos Agustín. Universidad Nacional del Litoral. Facultad de Cs.Agrarias. Departamento de Biologia Vegetal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Carrizo, Maria Eugenia. Universidad Nacional del Litoral. Facultad de Cs.Agrarias. Departamento de Biologia Vegetal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Imhoff, Silvia del Carmen. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Litoral. Facultad de Cs.Agrarias. Departamento de Biologia Vegetal; Argentina
Materia
POTENTIAL SITE-SPECIFIC TILLAGE MANAGEMENT ZONES
SOIL RESISTANCE
SPATIAL VARIABILITY;
VARIOGRAPHY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/115728
Acceder
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spelling Mapping soil compaction using indicator kriging in Santa Fe province, ArgentinaAlesso, Carlos AgustínCarrizo, Maria EugeniaImhoff, Silvia del CarmenPOTENTIAL SITE-SPECIFIC TILLAGE MANAGEMENT ZONESSOIL RESISTANCESPATIAL VARIABILITY;VARIOGRAPHYhttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Soil compaction is a complex physical process that affects the crop performance by limiting the expansion of the roots and the reduction of water and nutrients uptake from soil. Due to the spatial variability of soil compaction, the needs for remedial practices may vary within the field. However mapping soil compaction estimated by cone index (CI) data is a difficult task. The aim of this study were to examine the spatial variability of CI data in a fine-mixed-thermic Typic Argiudoll form the center of Santa Fe (Argentina) under no-till system, and to delineate zones for site-specific tillage based on maps of probabilities of occurrence of soil compaction developed using indicator kriging. Sixty nine georeferenced CI and volumetric water content (SWC) measurements were recorded in a 70 x 110 m experimental area. Sample locations were distributed following a pseudo-regular grid avoiding visible machinery footprint. An indicator variable was created by splitting the sampling locations into two groups based on the CI profiles within 0-30 cm depth. The spatial structure of the CI data aggregated by 10-cm layers and the indicator variable was assessed by a model-based approach. The high variability and poor spatial structure observed in CI data was attributed to the effect of tillage and traffic under the sampling scale. This feature.underpinned the application of spatial interpolation techniques for this property. However, maps of the probability of occurrence of soil compaction in the root zone were be obtained by integrating the cone index data of the arable horizon (0-30 cm) using the indicator kriging approach. Such probability maps could be useful for the delineation of potential zones for site-specific tillage.Fil: Alesso, Carlos Agustín. Universidad Nacional del Litoral. Facultad de Cs.Agrarias. Departamento de Biologia Vegetal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Carrizo, Maria Eugenia. Universidad Nacional del Litoral. Facultad de Cs.Agrarias. Departamento de Biologia Vegetal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Imhoff, Silvia del Carmen. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Litoral. Facultad de Cs.Agrarias. Departamento de Biologia Vegetal; ArgentinaUniversidad Nacional de Colombia2017-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/115728Alesso, Carlos Agustín; Carrizo, Maria Eugenia; Imhoff, Silvia del Carmen; Mapping soil compaction using indicator kriging in Santa Fe province, Argentina; Universidad Nacional de Colombia; Acta Agronómica; 66; 1; 2-2017; 81-870120-28122323-0118CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://revistas.unal.edu.co/index.php/acta_agronomicainfo:eu-repo/semantics/altIdentifier/doi/10.15446/acag.v66n1.54775info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:52:31Zoai:ri.conicet.gov.ar:11336/115728instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:52:31.951CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Mapping soil compaction using indicator kriging in Santa Fe province, Argentina
title Mapping soil compaction using indicator kriging in Santa Fe province, Argentina
spellingShingle Mapping soil compaction using indicator kriging in Santa Fe province, Argentina
Alesso, Carlos Agustín
POTENTIAL SITE-SPECIFIC TILLAGE MANAGEMENT ZONES
SOIL RESISTANCE
SPATIAL VARIABILITY;
VARIOGRAPHY
title_short Mapping soil compaction using indicator kriging in Santa Fe province, Argentina
title_full Mapping soil compaction using indicator kriging in Santa Fe province, Argentina
title_fullStr Mapping soil compaction using indicator kriging in Santa Fe province, Argentina
title_full_unstemmed Mapping soil compaction using indicator kriging in Santa Fe province, Argentina
title_sort Mapping soil compaction using indicator kriging in Santa Fe province, Argentina
dc.creator.none.fl_str_mv Alesso, Carlos Agustín
Carrizo, Maria Eugenia
Imhoff, Silvia del Carmen
author Alesso, Carlos Agustín
author_facet Alesso, Carlos Agustín
Carrizo, Maria Eugenia
Imhoff, Silvia del Carmen
author_role author
author2 Carrizo, Maria Eugenia
Imhoff, Silvia del Carmen
author2_role author
author
dc.subject.none.fl_str_mv POTENTIAL SITE-SPECIFIC TILLAGE MANAGEMENT ZONES
SOIL RESISTANCE
SPATIAL VARIABILITY;
VARIOGRAPHY
topic POTENTIAL SITE-SPECIFIC TILLAGE MANAGEMENT ZONES
SOIL RESISTANCE
SPATIAL VARIABILITY;
VARIOGRAPHY
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Soil compaction is a complex physical process that affects the crop performance by limiting the expansion of the roots and the reduction of water and nutrients uptake from soil. Due to the spatial variability of soil compaction, the needs for remedial practices may vary within the field. However mapping soil compaction estimated by cone index (CI) data is a difficult task. The aim of this study were to examine the spatial variability of CI data in a fine-mixed-thermic Typic Argiudoll form the center of Santa Fe (Argentina) under no-till system, and to delineate zones for site-specific tillage based on maps of probabilities of occurrence of soil compaction developed using indicator kriging. Sixty nine georeferenced CI and volumetric water content (SWC) measurements were recorded in a 70 x 110 m experimental area. Sample locations were distributed following a pseudo-regular grid avoiding visible machinery footprint. An indicator variable was created by splitting the sampling locations into two groups based on the CI profiles within 0-30 cm depth. The spatial structure of the CI data aggregated by 10-cm layers and the indicator variable was assessed by a model-based approach. The high variability and poor spatial structure observed in CI data was attributed to the effect of tillage and traffic under the sampling scale. This feature.underpinned the application of spatial interpolation techniques for this property. However, maps of the probability of occurrence of soil compaction in the root zone were be obtained by integrating the cone index data of the arable horizon (0-30 cm) using the indicator kriging approach. Such probability maps could be useful for the delineation of potential zones for site-specific tillage.
Fil: Alesso, Carlos Agustín. Universidad Nacional del Litoral. Facultad de Cs.Agrarias. Departamento de Biologia Vegetal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Carrizo, Maria Eugenia. Universidad Nacional del Litoral. Facultad de Cs.Agrarias. Departamento de Biologia Vegetal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Imhoff, Silvia del Carmen. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Litoral. Facultad de Cs.Agrarias. Departamento de Biologia Vegetal; Argentina
description Soil compaction is a complex physical process that affects the crop performance by limiting the expansion of the roots and the reduction of water and nutrients uptake from soil. Due to the spatial variability of soil compaction, the needs for remedial practices may vary within the field. However mapping soil compaction estimated by cone index (CI) data is a difficult task. The aim of this study were to examine the spatial variability of CI data in a fine-mixed-thermic Typic Argiudoll form the center of Santa Fe (Argentina) under no-till system, and to delineate zones for site-specific tillage based on maps of probabilities of occurrence of soil compaction developed using indicator kriging. Sixty nine georeferenced CI and volumetric water content (SWC) measurements were recorded in a 70 x 110 m experimental area. Sample locations were distributed following a pseudo-regular grid avoiding visible machinery footprint. An indicator variable was created by splitting the sampling locations into two groups based on the CI profiles within 0-30 cm depth. The spatial structure of the CI data aggregated by 10-cm layers and the indicator variable was assessed by a model-based approach. The high variability and poor spatial structure observed in CI data was attributed to the effect of tillage and traffic under the sampling scale. This feature.underpinned the application of spatial interpolation techniques for this property. However, maps of the probability of occurrence of soil compaction in the root zone were be obtained by integrating the cone index data of the arable horizon (0-30 cm) using the indicator kriging approach. Such probability maps could be useful for the delineation of potential zones for site-specific tillage.
publishDate 2017
dc.date.none.fl_str_mv 2017-02
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/11336/115728
Alesso, Carlos Agustín; Carrizo, Maria Eugenia; Imhoff, Silvia del Carmen; Mapping soil compaction using indicator kriging in Santa Fe province, Argentina; Universidad Nacional de Colombia; Acta Agronómica; 66; 1; 2-2017; 81-87
0120-2812
2323-0118
CONICET Digital
CONICET
url http://hdl.handle.net/11336/115728
identifier_str_mv Alesso, Carlos Agustín; Carrizo, Maria Eugenia; Imhoff, Silvia del Carmen; Mapping soil compaction using indicator kriging in Santa Fe province, Argentina; Universidad Nacional de Colombia; Acta Agronómica; 66; 1; 2-2017; 81-87
0120-2812
2323-0118
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://revistas.unal.edu.co/index.php/acta_agronomica
info:eu-repo/semantics/altIdentifier/doi/10.15446/acag.v66n1.54775
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional de Colombia
publisher.none.fl_str_mv Universidad Nacional de Colombia
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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