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Use of NIRS in Soil Properties Evaluation Related to Soil Salinity and Sodicity in Colombian Caribbean Coast

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Moscow University Soil Science Bulletin Aims and scope

Abstract

The banana sector contributes to 3% of the Colombia total exports, becoming the most important crop in the north of the country, benefiting more than 2.5 million families. Banana production is concentrated on the Colombian Caribbean coast where most of 90% of the soils are affected to some degree of salt affection in soils. This study was carried out in the municipality of Zona Bananera, Department of Magdalena (Colombia) elsewhere eleven geomorphological units were delimited through geomorphological surveying with geopedological methods. Given the high costs of implementing salt monitoring and management programs in the field, the implementation of Near Infrared spectroscopy (NIR) and image analysis are proposed as an alternative for map** soils salt affectation. Geostatistical methods, traditional soil laboratory methods and multispectral analysis of 697 soil samples were analyzing using machine learning and spectral models. The Orthogonal Partial Linear Square- Discriminant Analyses (OPLS-DA), Principal Component Regression (PCR), Partial Linear Square (PLS–PLSR), Least Absolute Shrinkage and Selection Operator (LASSO) were implemented. Soil cartographies for SAS were designed in areas under banana cultivation, determining the affectation degree. The results obtained showed that 45.1% of the soils are affected by salts, with R2 0.76 and RMS 0.15 for the applied of supervised models. OPLS-DA had a better performance being the high above sea level was the principal covariable to improve the model accuracy. LASSO and PLS were useful to Mg+2 and K+ with RMSE 0.92 and 0.34 and R2 of 0.37 and 0.44, while Saitsky&Golay filter improved the predictions model for pH and Ca+2. The use of combined techniques of geopedology, geostatistics and spectroscopy were efficient, practical and cheap methodologies for evaluate soil properties associate to SAS in the stablished banana crops.

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ACKNOWLEDGMENTS

Thanks to the collaboration of Colombian Caribbean region bananas companies Tecbaco, Banasan, Agrobanacaribe, Uniban, Cobafrio, Comulbanano, and the small farmers for allowing us to access inside the plantations. Also, the Spectroscopy and Soil Sciences laboratory at the Universidad Nacional de Colombia, Campus Bogota and Campus Medellin. The authors wish to acknowledge of diligent technical work performed in the fieldwork by the engineers Andrés Barreto Rivadeneira, Sleyder Castro, Diomara Suarez, and Luis Gutierrez. Specifically acknowledge the dedication and professionalism of the professor Orlando Ruiz Villadiego in the chemometrics analysis and Dr Melisa Lis Gutierrez for her continuous support and advice.

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This work was supported by ongoing institutional funding. No additional grants to carry out or direct this particular research were obtained.

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Authors and Affiliations

  1. Universidad Nacional de Colombia, Sede Medellín, Facultad de Ciencias, Escuela de Geociencias, 050034, Medellín, Colombia

    C. A. Rincón

  2. Universidad Nacional de Colombia, Sede Medellín, Facultad de Minas, Departamento de Geociencias y Medioambiente, 050034, Medellín, Colombia

    J. C. Loaiza-Usuga

  3. Universidad Nacional de Colombia, Sede Bogotá, Facultad de Ciencias Agrarias, Departamento de Agronomía, 11001, Bogotá, Colombia

    Y. Rubiano

  4. Universidad Nacional de Colombia, Sede Medellín, Facultad de Ciencias Agrarias, Departamento de Ciencias Agronómicas, 050034, Medellín, Colombia

    D. Castañeda

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  2. J. C. Loaiza-Usuga
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  3. Y. Rubiano
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  4. D. Castañeda
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Correspondence to C. A. Rincón.

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Rincón, C.A., Loaiza-Usuga, J.C., Rubiano, Y. et al. Use of NIRS in Soil Properties Evaluation Related to Soil Salinity and Sodicity in Colombian Caribbean Coast. Moscow Univ. Soil Sci. Bull. 78, 439–450 (2023). https://doi.org/10.3103/S0147687423050046

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