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resumen

Resumen
Acid tropical soils may become more productive when treated with agricultural lime, but optimal lime rates have yet to be determined in many tropical regions. In these regions, lime rates can be estimated with lime requirement models based on widely available soil data. We reviewed seven of these models and introduced a new model (LiTAS). We evaluated the models’ ability to predict the amount of lime needed to reach a target change in soil chemical [ver mas...]
dc.contributor.authorAramburu Merlos, Fernando
dc.contributor.authorVasco Silva, João
dc.contributor.authorBaudron, Frédéric
dc.contributor.authorHijmans, Robert J.
dc.date.accessioned2023-03-28T18:34:18Z
dc.date.available2023-03-28T18:34:18Z
dc.date.issued2023-04
dc.identifier.issn1872-6259 (online)
dc.identifier.otherhttps://doi.org/10.1016/j.geoderma.2023.116421
dc.identifier.urihttp://hdl.handle.net/20.500.12123/14344
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0016706123000988
dc.description.abstractAcid tropical soils may become more productive when treated with agricultural lime, but optimal lime rates have yet to be determined in many tropical regions. In these regions, lime rates can be estimated with lime requirement models based on widely available soil data. We reviewed seven of these models and introduced a new model (LiTAS). We evaluated the models’ ability to predict the amount of lime needed to reach a target change in soil chemical properties with data from four soil incubation studies covering 31 soil types. Two foundational models, one targeting acidity saturation and the other targeting base saturation, were more accurate than the five models that were derived from them, while the LiTAS model was the most accurate. The models were used to estimate lime requirements for 303 African soil samples. We found large differences in the estimated lime rates depending on the target soil chemical property of the model. Therefore, an important first step in formulating liming recommendations is to clearly identify the soil property of interest and the target value that needs to be reached. While the LiTAS model can be useful for strategic research, more information on acidity-related problems other than aluminum toxicity is needed to comprehensively assess the benefits of liming.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceGeoderma 432 : 116421 (April 2023)es_AR
dc.subjectSuelos Tropicaleses_AR
dc.subjectTropical Soilseng
dc.subjectSuelo Ácidoes_AR
dc.subjectAcid Soilseng
dc.subjectSaturaciónes_AR
dc.subjectSaturationeng
dc.subjectpH del Sueloes_AR
dc.subjectSoil pHeng
dc.subjectEncaladoes_AR
dc.subjectLimingeng
dc.subjectCal Agrícolaes_AR
dc.subjectAgricultural Limeeng
dc.titleEstimating lime requirements for tropical soils: Model comparison and developmentes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)es_AR
dc.description.origenEEA Balcarcees_AR
dc.description.filFil: Aramburu Merlos, Fernando. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Innovación para la Producción Agropecuaria y el Desarrollo Sostenible; Argentina.es_AR
dc.description.filFil: Aramburu Merlos, Fernando. University of California Davis. Department of Environmental Science and Policy; Estados Unidos.es_AR
dc.description.filFil: Vasco Silva, João. International Maize and Wheat Improvement Center; Zimbabue.es_AR
dc.description.filFil: Baudron, Frédéric. International Maize and Wheat Improvement Center; Zimbabue.es_AR
dc.description.filFil: Hijmans, Robert J. University of California Davis. Department of Environmental Science and Policy; Estados Unidos.es_AR
dc.subtypecientifico


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