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Aggregation and organic carbon of soils, with different textural classes, under application of vinasse on the line for the sugar cane crop

Grant number: 19/08749-7
Support Opportunities:Scholarships in Brazil - Scientific Initiation
Effective date (Start): June 01, 2019
Effective date (End): May 31, 2020
Field of knowledge:Agronomical Sciences - Agronomy - Soil Science
Principal Investigator:Carolina Fernandes
Grantee:Yasmin Uchino Orioli
Host Institution: Faculdade de Ciências Agrárias e Veterinárias (FCAV). Universidade Estadual Paulista (UNESP). Campus de Jaboticabal. Jaboticabal , SP, Brazil


Vinasse as fertilizer has been used for years, but there is a lack of information on the physical benefits of soil and methods of application. By concentrating the application on the line, water, nutrients and the organic matter are located in an area where the use of the vinasse is maximum. 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 located on the line. Four areas will be used: two for the evaluation of clay soil (soil 1), one with vinasse application in total area (VT1) and another with vinasse application on the line (VL1), and two other areas for the evaluation of sandy soil (soil 2), one with vinasse application in total área (VT2) and the other with vinasse application on the line (VL2). 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 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.

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