Delineation of management zones with soil apparent electrical conductivity to improve nutrient management

Autores
Peralta, Nahuel Raúl; Costa, Jose Luis
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Site-specific management demands the identification of subfield regions with homogeneous characteristics (management zones). However, determining subfield areas is difficult because of complex correlations and the spatial variability of soil properties and nutrient concentrations, responsible for variations in crop yields within the field. We evaluated whether apparent electrical conductivity (ECa) is a potential estimator of soil properties and nutrients, and a tool for the delimitation of homogeneous zones. Two field sites with several soil series were studied in southeastern Cordoba Province, Argentina. Soil properties and nutrient concentrations were compared with ECa using principal components (PC)- stepwise regression and ANOVA. The PC-stepwise regression showed that soil properties (pH, EC1:2.5, CEC, SOM) and nutrients (Na+2, Mg+2, Mn+2, Cu+2, Ca+2, Zn+2, Fe+2) are key loading factors to explain the ECa (R2>0.90). In contrast, K+, P, NO3--N and SO4-2-S), content were not able to explain the ECa. The ANOVA showed that ECa measurements successfully delimited two homogeneous soil zones associated with the spatial distribution of soil properties and some nutrients (Na+2, Mg+2, Mn+2, Cu+2, Ca+2, Zn+2, Fe+2). These results suggest that field-scale ECa maps have the potential to design sampling zones to implement site-specific management strategies.
Fil: Peralta, Nahuel Raúl. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires. Estación Experimental Agropecuaria Balcarce. Area de Investigación en Agronomía; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina
Fil: Costa, Jose Luis. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires. Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina
Materia
Precision Agriculture
Management Zones
Soil Properties
Nutrient Concentrations
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/3350
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Delineation of management zones with soil apparent electrical conductivity to improve nutrient managementPeralta, Nahuel RaúlCosta, Jose LuisPrecision AgricultureManagement ZonesSoil PropertiesNutrient Concentrationshttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Site-specific management demands the identification of subfield regions with homogeneous characteristics (management zones). However, determining subfield areas is difficult because of complex correlations and the spatial variability of soil properties and nutrient concentrations, responsible for variations in crop yields within the field. We evaluated whether apparent electrical conductivity (ECa) is a potential estimator of soil properties and nutrients, and a tool for the delimitation of homogeneous zones. Two field sites with several soil series were studied in southeastern Cordoba Province, Argentina. Soil properties and nutrient concentrations were compared with ECa using principal components (PC)- stepwise regression and ANOVA. The PC-stepwise regression showed that soil properties (pH, EC1:2.5, CEC, SOM) and nutrients (Na+2, Mg+2, Mn+2, Cu+2, Ca+2, Zn+2, Fe+2) are key loading factors to explain the ECa (R2>0.90). In contrast, K+, P, NO3--N and SO4-2-S), content were not able to explain the ECa. The ANOVA showed that ECa measurements successfully delimited two homogeneous soil zones associated with the spatial distribution of soil properties and some nutrients (Na+2, Mg+2, Mn+2, Cu+2, Ca+2, Zn+2, Fe+2). These results suggest that field-scale ECa maps have the potential to design sampling zones to implement site-specific management strategies.Fil: Peralta, Nahuel Raúl. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires. Estación Experimental Agropecuaria Balcarce. Area de Investigación en Agronomía; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; ArgentinaFil: Costa, Jose Luis. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires. Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; ArgentinaElsevier2013-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/3350Peralta, Nahuel Raúl; Costa, Jose Luis; Delineation of management zones with soil apparent electrical conductivity to improve nutrient management; Elsevier; Computers and Eletronics in Agriculture; 99; 11-2013; 218-2260168-1699enginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.compag.2013.09.014info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S016816991300241Xinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:33:12Zoai:ri.conicet.gov.ar:11336/3350instacron: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 10:33:12.428CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Delineation of management zones with soil apparent electrical conductivity to improve nutrient management
title Delineation of management zones with soil apparent electrical conductivity to improve nutrient management
spellingShingle Delineation of management zones with soil apparent electrical conductivity to improve nutrient management
Peralta, Nahuel Raúl
Precision Agriculture
Management Zones
Soil Properties
Nutrient Concentrations
title_short Delineation of management zones with soil apparent electrical conductivity to improve nutrient management
title_full Delineation of management zones with soil apparent electrical conductivity to improve nutrient management
title_fullStr Delineation of management zones with soil apparent electrical conductivity to improve nutrient management
title_full_unstemmed Delineation of management zones with soil apparent electrical conductivity to improve nutrient management
title_sort Delineation of management zones with soil apparent electrical conductivity to improve nutrient management
dc.creator.none.fl_str_mv Peralta, Nahuel Raúl
Costa, Jose Luis
author Peralta, Nahuel Raúl
author_facet Peralta, Nahuel Raúl
Costa, Jose Luis
author_role author
author2 Costa, Jose Luis
author2_role author
dc.subject.none.fl_str_mv Precision Agriculture
Management Zones
Soil Properties
Nutrient Concentrations
topic Precision Agriculture
Management Zones
Soil Properties
Nutrient Concentrations
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Site-specific management demands the identification of subfield regions with homogeneous characteristics (management zones). However, determining subfield areas is difficult because of complex correlations and the spatial variability of soil properties and nutrient concentrations, responsible for variations in crop yields within the field. We evaluated whether apparent electrical conductivity (ECa) is a potential estimator of soil properties and nutrients, and a tool for the delimitation of homogeneous zones. Two field sites with several soil series were studied in southeastern Cordoba Province, Argentina. Soil properties and nutrient concentrations were compared with ECa using principal components (PC)- stepwise regression and ANOVA. The PC-stepwise regression showed that soil properties (pH, EC1:2.5, CEC, SOM) and nutrients (Na+2, Mg+2, Mn+2, Cu+2, Ca+2, Zn+2, Fe+2) are key loading factors to explain the ECa (R2>0.90). In contrast, K+, P, NO3--N and SO4-2-S), content were not able to explain the ECa. The ANOVA showed that ECa measurements successfully delimited two homogeneous soil zones associated with the spatial distribution of soil properties and some nutrients (Na+2, Mg+2, Mn+2, Cu+2, Ca+2, Zn+2, Fe+2). These results suggest that field-scale ECa maps have the potential to design sampling zones to implement site-specific management strategies.
Fil: Peralta, Nahuel Raúl. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires. Estación Experimental Agropecuaria Balcarce. Area de Investigación en Agronomía; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina
Fil: Costa, Jose Luis. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires. Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina
description Site-specific management demands the identification of subfield regions with homogeneous characteristics (management zones). However, determining subfield areas is difficult because of complex correlations and the spatial variability of soil properties and nutrient concentrations, responsible for variations in crop yields within the field. We evaluated whether apparent electrical conductivity (ECa) is a potential estimator of soil properties and nutrients, and a tool for the delimitation of homogeneous zones. Two field sites with several soil series were studied in southeastern Cordoba Province, Argentina. Soil properties and nutrient concentrations were compared with ECa using principal components (PC)- stepwise regression and ANOVA. The PC-stepwise regression showed that soil properties (pH, EC1:2.5, CEC, SOM) and nutrients (Na+2, Mg+2, Mn+2, Cu+2, Ca+2, Zn+2, Fe+2) are key loading factors to explain the ECa (R2>0.90). In contrast, K+, P, NO3--N and SO4-2-S), content were not able to explain the ECa. The ANOVA showed that ECa measurements successfully delimited two homogeneous soil zones associated with the spatial distribution of soil properties and some nutrients (Na+2, Mg+2, Mn+2, Cu+2, Ca+2, Zn+2, Fe+2). These results suggest that field-scale ECa maps have the potential to design sampling zones to implement site-specific management strategies.
publishDate 2013
dc.date.none.fl_str_mv 2013-11
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/11336/3350
Peralta, Nahuel Raúl; Costa, Jose Luis; Delineation of management zones with soil apparent electrical conductivity to improve nutrient management; Elsevier; Computers and Eletronics in Agriculture; 99; 11-2013; 218-226
0168-1699
url http://hdl.handle.net/11336/3350
identifier_str_mv Peralta, Nahuel Raúl; Costa, Jose Luis; Delineation of management zones with soil apparent electrical conductivity to improve nutrient management; Elsevier; Computers and Eletronics in Agriculture; 99; 11-2013; 218-226
0168-1699
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.compag.2013.09.014
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S016816991300241X
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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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