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
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/14344

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oai_identifier_str oai:localhost:20.500.12123/14344
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network_name_str INTA Digital (INTA)
spelling 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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