Magnetic susceptibility in the prediction of soil attributes in two sugarcane harvesting management systems

Abstract

This study aimed to investigate the potential use of magnetic susceptibility (MS) as pedotransfer function to predict soil attributes under two sugarcane harvesting management systems. For each area of 1 ha (one with green sugarcane mechanized harvesting and other one with burnt sugarcane manual harvesting), 126 soil samples were collected and subjected to laboratory analysis to determine soil physical, chemical and mineralogical attributes and for measuring of MS. Data were submitted to descriptive statistics by calculating the mean and coefficient of variation. In order to compare the means in the different harvesting management systems it was carried out the Tukey test at a significance level of 5%. In order to investigate the correlation of the MS with other soil properties it was made the correlation test and aiming to assess how the MS contributes to the prediction of soil complex attributes it was made the multiple linear regressions. The results demonstrate that MS showed, in both sugarcane harvesting management systems, statistical correlation with chemical, physical and mineralogical soil attributes and it also showed potential to be used as pedotransfer function to predict attributes of the studied oxisol.KEYWORDS: pedotransfer, indirect quantification, oxisol. SUSCETIBILIDADE MAGNÉTICA NA PREDIÇÃO DE ATRIBUTOS DO SOLO EM DOIS SISTEMAS DE MANEJO NA COLHEITA DE CANA DE AÇÚCARRESUMO: O presente trabalho teve como objetivo investigar o potencial de uso da suscetibilidade magnética (SM) como componente da função de pedotransferência para predição de atributos do solo, sob dois sistemas de manejo na colheita de cana-de-açúcar. Para cada uma das duas áreas de 1 ha (uma com colheita mecanizada de cana crua e outra com colheita manual de cana queimada), foram coletadas 126 amostras de solo que foram submetidas às análises de laboratório, para determinação dos atributos físicos, químicos e mineralógicos do solo e para medição da SM. Os dados foram submetidos à estatística descritiva, calculando-se a média e o coeficiente de variação. Para comparar as médias nos diferentes sistemas de manejo, foi realizado o teste de Tukey, ao nível de significância de 5%. Foram realizados o teste de correlação simples para averiguar a correlação da SM com outros atributos do solo e a regressão múltipla linear a fim de avaliar o quanto a SM contribui para a predição de atributos complexos do solo. Os resultados demonstram que a SM apresentou, em ambos os sistemas de manejo de colheita da cana-de-açúcar, correlação estatística com atributos químicos, físicos e mineralógicos do solo e apresentou potencial para ser utilizada como componente da função de pedotransferência para predição de atributos do Latossolo estudado. PALAVRAS-CHAVE:pedotransferência, quantificação indireta, Latossolo.

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

“…The relationship obtained between χρ and soil attributes, shows that the idea about χρ can be applied in the prediction of soil attributes, since it is considered as a micromarcador of the soil and is influenced by the concentrations and characteristics of the minerals present (Peluco et al 2013b), and to determine the physical, chemical, and mineralogical attributes of the soil (Verosub & Robert 1995), or even in plants and ceramics incorporated into the soil matrix. and / or identify changes in IBE's pedogenetic environments through the accumulation of minerals formed under normal conditions (Oliveira 2017).…”

“…Several researches have been applied in this line aiming the determination of MS of soils, by direct or indirect methods. Siqueira (2010) evaluated the potential of MS to estimate soil attributes and map management areas for sugarcane cultivation; Cortez et al (2011) applied MS to identify management areas in citriculture; Cervi (2013) quantified the spatial variability of tropical soils with MS; Peluco et al (2013b) used the MS to predict the physical, chemical and mineralogical properties of Oxisols under sugarcane management; Barbosa (2014) evaluated the efficiency of MS to estimate the erodibility of Ultisols, and Oliveira (2017) used MS to identify pedogenic environments and as an agricultural and environmental indicator of Indian Black Earths (IBEs) or Archaeological Dark Earths (ADEs).…”

Sampling Density for Characterizing the Physical Quality of a Soil Under Coffee Cultivation in Southwestern Minas Gerais

“…Higher error levels would be related to a lower number of samples, but it could not be enough to describe the spatial variability of soil attributes. On the other hand, in order to consider the highest number of samples for the study of variability, new technologies must be taken into account to assist in reducing sampling costs, such as the indirect quantification of soil attributes (Peluco et al 2013;Siqueira et al, 2010a).…”