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Abstract
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 [ver mas...]
dc.contributor.authorPeralta, Nahuel Raúl
dc.contributor.authorCosta, Jose Luis
dc.date.accessioned2019-04-01T14:14:31Z
dc.date.available2019-04-01T14:14:31Z
dc.date.issued2013-11
dc.identifier.issn0168-1699
dc.identifier.otherhttps://doi.org/10.1016/j.compag.2013.09.014
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S016816991300241X
dc.identifier.urihttp://hdl.handle.net/20.500.12123/4799
dc.description.abstractSite-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.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.sourceComputers and Electronics in Agriculture 99 : 218-226 (November 2013)es_AR
dc.subjectManejo del Cultivoes_AR
dc.subjectCrop Managementeng
dc.subjectSite Specific Nutrient Managementes_AR
dc.subjectSueloes_AR
dc.subjectSoileng
dc.subjectConductividad Eléctricaes_AR
dc.subjectElectrical Conductivityeng
dc.subjectAgricultura de Precisiónes_AR
dc.subjectPrecision Agricultureeng
dc.subjectNutrienteses_AR
dc.subjectNutrientseng
dc.titleDelineation of management zones with soil apparent electrical conductivity to improve nutrient managementes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.origenEEA Balcarcees_AR
dc.description.filFil: 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; Argentinaes_AR
dc.description.filFil: Costa, Jose Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentinaes_AR
dc.subtypecientifico


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