Estimating lime requirements for tropical soils: Model comparison and development
- Autores
- Aramburu Merlos, Fernando; Vasco Silva, João; Baudron, Frédéric; Hijmans, Robert J.
- Año de publicación
- 2023
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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.
EEA Balcarce
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.
Fil: Aramburu Merlos, Fernando. University of California Davis. Department of Environmental Science and Policy; Estados Unidos.
Fil: Vasco Silva, João. International Maize and Wheat Improvement Center; Zimbabue.
Fil: Baudron, Frédéric. International Maize and Wheat Improvement Center; Zimbabue.
Fil: Hijmans, Robert J. University of California Davis. Department of Environmental Science and Policy; Estados Unidos. - Fuente
- Geoderma 432 : 116421 (April 2023)
- Materia
-
Suelos Tropicales
Suelo Ácido
Saturación
pH del Suelo
Encalado
Cal Agrícola
Tropical Soils
Acid Soils
Saturation
Soil pH
Liming
Agricultural Lime - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/14344
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Estimating lime requirements for tropical soils: Model comparison and developmentAramburu Merlos, FernandoVasco Silva, JoãoBaudron, FrédéricHijmans, Robert J.Suelos TropicalesSuelo ÁcidoSaturaciónpH del SueloEncaladoCal AgrícolaTropical SoilsAcid SoilsSaturationSoil pHLimingAgricultural LimeAcid 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.EEA BalcarceFil: 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.Fil: Aramburu Merlos, Fernando. University of California Davis. Department of Environmental Science and Policy; Estados Unidos.Fil: Vasco Silva, João. International Maize and Wheat Improvement Center; Zimbabue.Fil: Baudron, Frédéric. International Maize and Wheat Improvement Center; Zimbabue.Fil: Hijmans, Robert J. University of California Davis. Department of Environmental Science and Policy; Estados Unidos.Elsevier2023-03-28T18:34:18Z2023-03-28T18:34:18Z2023-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/14344https://www.sciencedirect.com/science/article/pii/S00167061230009881872-6259 (online)https://doi.org/10.1016/j.geoderma.2023.116421Geoderma 432 : 116421 (April 2023)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)2025-09-18T10:08:56Zoai:localhost:20.500.12123/14344instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-18 10:08:56.849INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
dc.title.none.fl_str_mv |
Estimating lime requirements for tropical soils: Model comparison and development |
title |
Estimating lime requirements for tropical soils: Model comparison and development |
spellingShingle |
Estimating lime requirements for tropical soils: Model comparison and development Aramburu Merlos, Fernando Suelos Tropicales Suelo Ácido Saturación pH del Suelo Encalado Cal Agrícola Tropical Soils Acid Soils Saturation Soil pH Liming Agricultural Lime |
title_short |
Estimating lime requirements for tropical soils: Model comparison and development |
title_full |
Estimating lime requirements for tropical soils: Model comparison and development |
title_fullStr |
Estimating lime requirements for tropical soils: Model comparison and development |
title_full_unstemmed |
Estimating lime requirements for tropical soils: Model comparison and development |
title_sort |
Estimating lime requirements for tropical soils: Model comparison and development |
dc.creator.none.fl_str_mv |
Aramburu Merlos, Fernando Vasco Silva, João Baudron, Frédéric Hijmans, Robert J. |
author |
Aramburu Merlos, Fernando |
author_facet |
Aramburu Merlos, Fernando Vasco Silva, João Baudron, Frédéric Hijmans, Robert J. |
author_role |
author |
author2 |
Vasco Silva, João Baudron, Frédéric Hijmans, Robert J. |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Suelos Tropicales Suelo Ácido Saturación pH del Suelo Encalado Cal Agrícola Tropical Soils Acid Soils Saturation Soil pH Liming Agricultural Lime |
topic |
Suelos Tropicales Suelo Ácido Saturación pH del Suelo Encalado Cal Agrícola Tropical Soils Acid Soils Saturation Soil pH Liming Agricultural Lime |
dc.description.none.fl_txt_mv |
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. EEA Balcarce 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. Fil: Aramburu Merlos, Fernando. University of California Davis. Department of Environmental Science and Policy; Estados Unidos. Fil: Vasco Silva, João. International Maize and Wheat Improvement Center; Zimbabue. Fil: Baudron, Frédéric. International Maize and Wheat Improvement Center; Zimbabue. Fil: Hijmans, Robert J. University of California Davis. Department of Environmental Science and Policy; Estados Unidos. |
description |
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. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-03-28T18:34:18Z 2023-03-28T18:34:18Z 2023-04 |
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/20.500.12123/14344 https://www.sciencedirect.com/science/article/pii/S0016706123000988 1872-6259 (online) https://doi.org/10.1016/j.geoderma.2023.116421 |
url |
http://hdl.handle.net/20.500.12123/14344 https://www.sciencedirect.com/science/article/pii/S0016706123000988 https://doi.org/10.1016/j.geoderma.2023.116421 |
identifier_str_mv |
1872-6259 (online) |
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 |
Geoderma 432 : 116421 (April 2023) 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 |
13.000565 |