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Greenhouse gases emission and carbon balance in function of liming and soil tillage in sugarcane

Grant number: 17/18988-3
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): April 01, 2018
Effective date (End): June 30, 2020
Field of knowledge:Agronomical Sciences - Agronomy - Crop Science
Principal Investigator:Juliano Carlos Calonego
Grantee:Ana Stella Freire Gonçalves
Home Institution: Faculdade de Ciências Agronômicas (FCA). Universidade Estadual Paulista (UNESP). Campus de Botucatu. Botucatu , SP, Brazil
Associated research grant:14/20593-9 - Deep strip-tillage and liming in sugarcane: soil quality, greenhouse gas emissions, physiological parameters and yield, AP.BIOEN.TEM

Abstract

Changes in the sugarcane production system involving increase of the mechanized processes, increase soil compaction which reduces root growth, productivity and longevity of sugarcanefields; thus, it is necessary to adopt practices that attenuate these effects. One that has been adopted is the deep soil preparation in the planting band, which can result in better root developing, use of water and nutrients, and consequently increasing biomass production. However, this technique can lead to a reduction in carbon stock (C) and an increase in greenhouse gases (GHG) emissions. The aim of this work is to evaluate the GHG emissions, soil C stocks, aerial and root biomass of the crop, soil organic matter quality, besides the yield of stalks as effect of the liming, soil management, as well as the interaction between these two factors. Thus, an experiment is being carried out in a medium texture soil, experimental design in randomized blocks, with split-plot scheme, with four replications. The plots will consist of three tillage systems (1 - Conventional Preparation (PC) - standard/control; 2 - Preparation with rotary tiller plus shank subsoiler (PPFSER), 3 - PPFSER modified) and the subplots will consist of four liming levels (0, 1, 2 and 3 times the recommended rate for Spironello et al. 1996, based on soil samples of 0.0-0.20 and 0.20-0.40 m). The data will be submitted to analysis of variance and will be compared by LSD test, in the case of qualitative variables, and by regression analysis for the effects of limestone levels. (AU)