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Aggregation and organic carbon of soils, with different textural classes, under cultivation of sugarcane and application of vinasse

Grant number: 19/02488-7
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): April 01, 2019
Effective date (End): March 31, 2020
Field of knowledge:Agronomical Sciences - Agronomy - Soil Science
Principal researcher:Carolina Fernandes
Grantee:Isis Albuquerque Tassim
Home Institution: Faculdade de Ciências Agrárias e Veterinárias (FCAV). Universidade Estadual Paulista (UNESP). Campus de Jaboticabal. Jaboticabal , SP, Brazil

Abstract

Vinasse presents a high biochemical oxygen demand, and therefore, it is characterized by high pollutant power, however, when it comes into contact with the soil, its polluting potential is minimized. Therefore, the use of industrial residue is favorable because of its ability to minimize environmental impacts. Since they are not discarded, the residues collaborate with the preservation of the environment and can alter the physical properties of the soil, being able to generate increase of productivity. The objective of this work will be to evaluate the aggregation and the organic carbon of two soils, with different textural classes, under vinasse application. Four areas will be used: two for the evaluation of clay soil (soil 1), one with vinasse application (WV1) and another with no vinasse application (NV1), and two other areas for the evaluation of sandy soil (soil 2), one with vinasse application (WV2) and the other with no vinasse application (NV2). Each area has approximately 5 hectares. After cutting the sugar cane, 10 points will be sampled in each of these four areas, and the soil sampling will be performed in two layers, 0 - 0.10 and 0.10 - 0.20 m depth. Samples will be collected in clods, with the aid of a hoe, in the sugar cane inter row. In the total, 80 points will be sampled to determine the weighted average diameter of the soil aggregates, the aggregate stability index, the organic carbon content and the physical fractionation of the organic carbon, particulate organic carbon and organic carbon associated with the minerals. Initially, descriptive statistics will be used to characterize the areas. Subsequently, a multivariate statistical method will be applied, which will allow the identification and ordering of the variables that most influence the differentiation of the 80 points sampled.

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