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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
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dc.contributor.author | Aramburu Merlos, Fernando | |
dc.contributor.author | Vasco Silva, João | |
dc.contributor.author | Baudron, Frédéric | |
dc.contributor.author | Hijmans, Robert J. | |
dc.date.accessioned | 2023-03-28T18:34:18Z | |
dc.date.available | 2023-03-28T18:34:18Z | |
dc.date.issued | 2023-04 | |
dc.identifier.issn | 1872-6259 (online) | |
dc.identifier.other | https://doi.org/10.1016/j.geoderma.2023.116421 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12123/14344 | |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0016706123000988 | |
dc.description.abstract | 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 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.format | application/pdf | es_AR |
dc.language.iso | eng | es_AR |
dc.publisher | Elsevier | es_AR |
dc.rights | info:eu-repo/semantics/openAccess | es_AR |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | es_AR |
dc.source | Geoderma 432 : 116421 (April 2023) | es_AR |
dc.subject | Suelos Tropicales | es_AR |
dc.subject | Tropical Soils | eng |
dc.subject | Suelo Ácido | es_AR |
dc.subject | Acid Soils | eng |
dc.subject | Saturación | es_AR |
dc.subject | Saturation | eng |
dc.subject | pH del Suelo | es_AR |
dc.subject | Soil pH | eng |
dc.subject | Encalado | es_AR |
dc.subject | Liming | eng |
dc.subject | Cal Agrícola | es_AR |
dc.subject | Agricultural Lime | eng |
dc.title | Estimating lime requirements for tropical soils: Model comparison and development | es_AR |
dc.type | info:ar-repo/semantics/artículo | es_AR |
dc.type | info:eu-repo/semantics/article | es_AR |
dc.type | info:eu-repo/semantics/publishedVersion | es_AR |
dc.rights.license | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) | es_AR |
dc.description.origen | EEA Balcarce | es_AR |
dc.description.fil | Fil: 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.fil | Fil: Aramburu Merlos, Fernando. University of California Davis. Department of Environmental Science and Policy; Estados Unidos. | es_AR |
dc.description.fil | Fil: Vasco Silva, João. International Maize and Wheat Improvement Center; Zimbabue. | es_AR |
dc.description.fil | Fil: Baudron, Frédéric. International Maize and Wheat Improvement Center; Zimbabue. | es_AR |
dc.description.fil | Fil: Hijmans, Robert J. University of California Davis. Department of Environmental Science and Policy; Estados Unidos. | es_AR |
dc.subtype | cientifico |
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