Pedotransfer functions to estimate some soil properties in Indian Black Earth, south of Amazonas State.

Wildson B.M Brito,Ivanildo A De Oliveira,José Maurício Da Cunha,Marcelo D.R Soares,Bruno C Mantovanelli,Ludmila De Freitas,Milton C.C Campos

doi:10.1590/0001-3765202120190543

Abstract

Agriculture needs methodologies that assist in the determination of soil attributes and variability mapping attributes with greater levels of detail. Therefore, the objective of this research was to evaluate magnetic susceptibility as auxiliary variable for estimating soil attributes in areas of Indian Black Earths in the south of Amazonas State. Three Indian Black Earth areas are located in the municipalities of Apuí and Manicoré - Amazonas, under uses with coffee, cocoa and pasture. The soils were collected at the crossing points in the depth of 0.00 - 0.20 m, making a total of 88 sampling points/area, and totaling 264 samples. The points were georeferenced for geostatistical modeling. After that, physical and chemical analyzes were performed to obtain the values of soil and magnetic susceptibility attributes. Descriptive statistics, Pearson correlation, linear regression and geostatistical analyzes were applied for Pedotransfer Function modeling and the spatial variability of the analyzed attributes. Magnetic susceptibility showed a high degree of spatial dependence in the study areas, high range values, correlating with most of the assessed attributes, mainly physical, indicating potential in the prediction of the attributes in these environments. Pedotransfer functions vary among IBE's sites in attribute prediction, ensuring moderate estimates for predicting soil attributes in IBE's areas.

Highlights

The detailed studies related to the soil are subsidized by techniques aimed at providing information to support the sustainability of agricultural activities
In order to obtain this information, a large volume of samples is required, high cost, time needed to process and acquire information and generation of residues caused by the use of reagents, generating great economic and environmental discomfort (McBratney et al 2003)
Pedometry emerges as a tool through the Pedotransfer Functions (PTF), being predictive functions of the soil properties from other measured and routinely obtained at lower costs, and minimizing the time spent collecting and analyzing (McBratney et al 2003, Ramos 2015)

Summary

Introduction

The detailed studies related to the soil are subsidized by techniques aimed at providing information to support the sustainability of agricultural activities. In order to obtain this information, a large volume of samples is required, high cost, time needed to process and acquire information and generation of residues caused by the use of reagents, generating great economic and environmental discomfort (McBratney et al 2003) In this context, pedometry emerges as a tool through the Pedotransfer Functions (PTF), being predictive functions of the soil properties from other measured and routinely obtained at lower costs, and minimizing the time spent collecting and analyzing (McBratney et al 2003, Ramos 2015). Agriculture requires methodologies to determine soil attributes less aggressive to the environment, less onerous, and that help in mapping the variability of these attributes with higher levels of detail (Siqueira 2010) Pedometry fits in this context, allowing to increase the precision in the studies, besides the number of. It is influenced by the soil formation factors, pedogenic process (Dearing et al 2001, Ayoubi et al 2018, Gholamzadeh et al 2019), climate (Dearing et al 2001, Ayoubi & Mirsaidi 2019), fauna / flora (Dearing et al 1995) and relief (Jong et al 2000), soil drainage (Asgari et al 2018; ), industrial and urbanized activities (Dankoub et al 2012, Naimi & Ayoubi 2013, Ayoubi et al 2014, 2018, Karimi et al 2017)

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