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, and ), 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.
EEA Balcarce
Fil: Peralta, Nahuel Raúl. 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 (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina
Fuente
Computers and Electronics in Agriculture 99 : 218-226 (November 2013)
Materia
Manejo del Cultivo
Site Specific Nutrient Management
Suelo
Conductividad Eléctrica
Agricultura de Precisión
Nutrientes
Crop Management
Soil
Electrical Conductivity
Precision Agriculture
Nutrients
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/4799
Acceder
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oai_identifier_str oai:localhost:20.500.12123/4799
network_acronym_str INTADig
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network_name_str INTA Digital (INTA)
spelling Delineation of management zones with soil apparent electrical conductivity to improve nutrient managementPeralta, Nahuel RaúlCosta, Jose LuisManejo del CultivoSite Specific Nutrient ManagementSueloConductividad EléctricaAgricultura de PrecisiónNutrientesCrop ManagementSoilElectrical ConductivityPrecision AgricultureNutrientsSite-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, and ), 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.EEA BalcarceFil: Peralta, Nahuel Raúl. 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 (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; ArgentinaElsevier2019-04-01T14:14:31Z2019-04-01T14:14:31Z2013-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://www.sciencedirect.com/science/article/pii/S016816991300241Xhttp://hdl.handle.net/20.500.12123/47990168-1699https://doi.org/10.1016/j.compag.2013.09.014Computers and Electronics in Agriculture 99 : 218-226 (November 2013)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)2025-09-29T13:44:37Zoai:localhost:20.500.12123/4799instacron: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 13:44:37.582INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
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
Manejo del Cultivo
Site Specific Nutrient Management
Suelo
Conductividad Eléctrica
Agricultura de Precisión
Nutrientes
Crop Management
Soil
Electrical Conductivity
Precision Agriculture
Nutrients
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 Manejo del Cultivo
Site Specific Nutrient Management
Suelo
Conductividad Eléctrica
Agricultura de Precisión
Nutrientes
Crop Management
Soil
Electrical Conductivity
Precision Agriculture
Nutrients
topic Manejo del Cultivo
Site Specific Nutrient Management
Suelo
Conductividad Eléctrica
Agricultura de Precisión
Nutrientes
Crop Management
Soil
Electrical Conductivity
Precision Agriculture
Nutrients
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, and ), 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.
EEA Balcarce
Fil: Peralta, Nahuel Raúl. 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 (INTA). 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, and ), 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
2019-04-01T14:14:31Z
2019-04-01T14:14:31Z
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 https://www.sciencedirect.com/science/article/pii/S016816991300241X
http://hdl.handle.net/20.500.12123/4799
0168-1699
https://doi.org/10.1016/j.compag.2013.09.014
url https://www.sciencedirect.com/science/article/pii/S016816991300241X
http://hdl.handle.net/20.500.12123/4799
https://doi.org/10.1016/j.compag.2013.09.014
identifier_str_mv 0168-1699
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.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Computers and Electronics in Agriculture 99 : 218-226 (November 2013)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.559606

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