Physical quality and chemistry of a oxisol in a waste-livestock integration system after 2 years of implantation

• Grant number: 17/17300-8
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: January 01, 2018
• End date: August 31, 2021
• Field of knowledge: Agronomical Sciences - Agronomy - Soil Science
• Principal Investigator: Carolina dos Santos Batista Bonini
• Grantee: Rafael Luís Sanchez Perusso
• Host Institution: Faculdade de Ciências Agrárias e Tecnológicas. Universidade Estadual Paulista (UNESP). Campus de Dracena. Dracena , SP, Brazil
• Associated research grant(s): 24/06153-8 - LIII Brazilian Congress of Agricultural Engineering - CONBEA 2024, AR.BR

Abstract

The crop-livestock integration system aims at sustainability, seeking to exploit the maximum of the area, in addition to reducing impacts on soil properties. The present work aims to study the physical and chemical attributes of an Oxisol in a crop-livestock integration system after two years of system implantation. The experimental design will be in randomized blocks, with three replicates and composed by 7 treatments: 1 - Soybean - corn + B. ruziziensis (grazing); 2 - Soybean - corn + Piatã (grazing); 3 - Soybean - corn + Paiaguás (grazing); 4 - Soybean - Piatã (grazing 2 years) - Soybean - Piatã (grazing); 5 - Soybean - Paiaguás (grazing 2 years) - Soybean - Paiaguás (grazing); 6 - Soybean - corn (no tillage); 7 - Soybean - corn (Conventional preparation). The experiment will be carried out at Fazenda Facholi group, in the municipality of Caiuá/SP from October/2017 to September/2018, in soil classified as Oxisol. The physical attributes of soil (aggregate stability, soil porosity, water infiltration, mechanical penetration resistance, soil moisture) chemical attributes (phosphorus, potassium, magnesium and calcium contents, organic matter, pH, potential acidity and base sums, cation exchange capacity and base saturation). Soil analyzes will be done in two depths of soil; 0.00-0.10 and 0.10-0.20 m. The results will be analyzed by performing analysis of variance, simple correlation and Tukey test at 5% probability for the comparison of means. (AU)