Advanced search
Start date
Betweenand

Simulation of greenhouse gas emissions and mitigations by Brazilian beef cattle feedlot manure management using Manure-DNDC mathematic model

Grant number: 12/02642-7
Support type:Scholarships abroad - Research Internship - Doctorate
Effective date (Start): January 15, 2013
Effective date (End): December 14, 2013
Field of knowledge:Agronomical Sciences - Agronomy
Principal Investigator:Carlos Clemente Cerri
Grantee:Ciniro Costa Junior
Supervisor abroad: Changsheng Li
Home Institution: Centro de Energia Nuclear na Agricultura (CENA). Universidade de São Paulo (USP). Piracicaba , SP, Brazil
Local de pesquisa : University of New Hampshire (UNH), United States  
Associated to the scholarship:10/05111-7 - Methane and nitrous oxide emissions from the beef cattle feedlot manure management in Brazil: surveying, measuring and modeling, BP.DR

Abstract

Brazil holds the largest commercial herd as well as being the major beef producer. This production is characterized by grazing systems, which currently derives about 90% of slaughtered animals. The remaining 10% are finished in feedlots. Different types of beef production (extensive and intensive) result in different magnitudes of GHG emissions, which are usually linked to quality of diet offered, which, on animal basis, changes GHG emissions pattern through enteric fermentation and manure. The better quality diet offered in feedlots leads to reduction of methane (CH4) emissions, via enteric fermentation, but in the other hand increases CH4 and nitrous oxide (N2O) emissions via manure with levels dependent on the management. For being parameters of sustainable production, manure management and their respectively GHG emissions, which have not been evaluated in Brazilian feedlots, need to be further analyzed and explored. The use of mathematical modeling can be used to estimate these emissions, not only for allowing the integration of biogeochemical data obtained at field, but also enable the evaluation of the impact of different manure management practices. The objective of this project is to estimate the emissions and mitigation potential of GEE by different manure management systems carried by beef cattle feedlots in Brazil, using the mathematical model Manure-DNDC. With data from field collection will be simulated the carbon and nitrogen dynamics contained in manure at feedlot pens, several treatment forms (heaps, composting and anaerobic digestion), and manure application in field (digested and nitrification inhibitors addicted) and their effects in the soil. In addition to publishing scientific articles, the results of this project might support national GHG emission reporting and provide subsidies for the establishment of better manure management in beef cattle feedlots in Brazil, aiming to reduce these emissions. (AU)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
COSTA JUNIOR, C.; CERRI, C. E. P.; DORICH, C. D.; MAIA, S. M. F.; BERNOUX, M.; CERRI, C. C. Towards a representative assessment of methane and nitrous oxide emissions and mitigation options from manure management of beef cattle feedlots in Brazil. MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE, v. 20, n. 3, p. 425-438, MAR 2015. Web of Science Citations: 0.
COSTA JUNIOR, CINIRO; CERRI, CARLOS E. P.; PIRES, ALEXANDRE V.; CERRI, CARLOS C. Net greenhouse gas emissions from manure management using anaerobic digestion technology in a beef cattle feedlot in Brazil. Science of The Total Environment, v. 505, p. 1018-1025, FEB 1 2015. Web of Science Citations: 8.
COSTA, JR., CINIRO; LI, CHANGSHENG; CERRI, CARLOS E. P.; CERRI, CARLOS C. Measuring and modeling nitrous oxide and methane emissions from beef cattle feedlot manure management: First assessments under Brazilian condition. JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH PART B-PESTICIDES FOOD CONTAMIN, v. 49, n. 9, p. 696-711, 2014. Web of Science Citations: 8.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.