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Estimating lime requirements for tropical soils: Model comparison and development.

Authors :
Aramburu Merlos, Fernando
Silva, João Vasco
Baudron, Frédéric
Hijmans, Robert J.
Source :
Geoderma. Apr2023, Vol. 432, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

• Lime requirement models are useful to assess the potential benefits of liming. • Lime rate estimates largely depend on the target soil property of the model. • Stand-alone models that target soil pH have low accuracy. • A new model was mathematically derived from the concept of acidity saturation. • The new lime requirement model has better accuracy than all previous models. 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00167061
Volume :
432
Database :
Academic Search Index
Journal :
Geoderma
Publication Type :
Academic Journal
Accession number :
162475323
Full Text :
https://doi.org/10.1016/j.geoderma.2023.116421