IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v143y2016icp86-96.html
   My bibliography  Save this article

Impact of the intensification of beef production in Brazil on greenhouse gas emissions and land use

Author

Listed:
  • Cardoso, Abmael S.
  • Berndt, Alexandre
  • Leytem, April
  • Alves, Bruno J.R.
  • de Carvalho, Isabel das N.O.
  • de Barros Soares, Luis Henrique
  • Urquiaga, Segundo
  • Boddey, Robert M.

Abstract

Brazil has the largest herd of beef cattle in the world, estimated at approximately 200 million animals. Production is predominantly pasture-based and low input and hence time to slaughter is long, which promotes high methane (CH4) emissions per kg of product. The objective of this study was to investigate the impact of increasing animal productivity using fertilizers, forage legumes, supplements and concentrates, on the emissions of greenhouse gases (GHGs) in five scenarios for beef production in Brazil. A life cycle analysis (LCA) approach, from birth of calves to mature animals ready for slaughter at the farm gate, was utilized using Tier 2 methodologies of the IPCC and the results expressed in equivalents of carbon dioxide (CO2eq) per kg of carcass produced. Fossil CO2 emitted in the production of supplements, feeds and fertilizers was included using standard LCA techniques. The first four scenarios were based solely on cattle production on pasture, ranging from degraded Brachiaria pastures, through to a mixed legume/Brachiaria pasture and improved N-fertilized pastures of Guinea grass (Panicum maximum). Scenario 5 was the most intensive and was also based on an N-fertilized Guinea grass pasture, but with a 75-day finishing period in confinement with total mixed ration (TMR). Across the scenarios from 1 to 5 the increase in digestibility promoted a reduction in the forage intake per unit of animal weight gain and a concomitant reduction in CH4 emissions. For the estimation of nitrous oxide (N2O) emissions from animal excreta, emission factors from a study in the Cerrado region were utilized which postulated lower emission from dung than from urine and much lower emissions in the long dry season in this region. The greatest impact of intensification of the beef production systems was a 7-fold reduction of the area necessary for production from 320 to 45m2/kg carcass. Carcass production increased from 43 to 65Mg per herd across the scenarios from 1 to 5, and total emissions per kg carcass were estimated to be reduced from 58.3 to 29.4kg CO2eq/kg carcass. Even though animal weight gain was lower in the mixed grass-legume scenario (3) than for the N-fertilized Guinea grass pastures (scenarios 4 and 5) GHG emissions per kg carcass were similar as the legume N2 fixation input had no fossil-fuel cost. A large source of uncertainty for the construction of such LCAs was the lack of data for enteric CH4 emissions from cattle grazing tropical forages.

Suggested Citation

  • Cardoso, Abmael S. & Berndt, Alexandre & Leytem, April & Alves, Bruno J.R. & de Carvalho, Isabel das N.O. & de Barros Soares, Luis Henrique & Urquiaga, Segundo & Boddey, Robert M., 2016. "Impact of the intensification of beef production in Brazil on greenhouse gas emissions and land use," Agricultural Systems, Elsevier, vol. 143(C), pages 86-96.
  • Handle: RePEc:eee:agisys:v:143:y:2016:i:c:p:86-96
    DOI: 10.1016/j.agsy.2015.12.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X15300652
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agsy.2015.12.007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. W. Granger & J.D. Walsh, 1959. "Equations Relating The Composition Of Beef Cattle Herds To Certain Basic Data," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 3(2), pages 58-63, December.
    2. Mercedes Bustamante & Carlos Nobre & Roberto Smeraldi & Ana Aguiar & Luis Barioni & Laerte Ferreira & Karla Longo & Peter May & Alexandre Pinto & Jean Ometto, 2012. "Estimating greenhouse gas emissions from cattle raising in Brazil," Climatic Change, Springer, vol. 115(3), pages 559-577, December.
    3. G. Robertson & Peter Grace, 2004. "Greenhouse Gas Fluxes in Tropical and Temperate Agriculture: The need for a Full-Cost accounting of Global Warming Potentials," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 6(1), pages 51-63, March.
    4. Granger, W. & Walsh, J.D., 1959. "Equations Relating The Composition Of Beef Cattle Herds To Certain Basic Data," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 3(2), pages 1-6, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dumas, Patrice & Wirsenius, Stefan & Searchinger, Tim & Andrieu, Nadine & Vogt-Schilb, Adrien, 2022. "Options to achieve net-zero emissions from agriculture and land use changes in Latin America and the Caribbean," IDB Publications (Working Papers) 12385, Inter-American Development Bank.
    2. Monjardino, Marta & Loi, Angelo & Thomas, Dean T. & Revell, Clinton K. & Flohr, Bonnie M. & Llewellyn, Rick S. & Norman, Hayley C., 2022. "Improved legume pastures increase economic value, resilience and sustainability of crop-livestock systems," Agricultural Systems, Elsevier, vol. 203(C).
    3. Dakpo, K Hervé & Latruffe, Laure, 2016. "Agri-environmental subsidies and French suckler cow farms’ technical efficiency accounting for GHGs," 90th Annual Conference, April 4-6, 2016, Warwick University, Coventry, UK 236339, Agricultural Economics Society.
    4. Costa Jr., Newton Borges da & Baldissera, Tiago Celso & Pinto, Cassiano Eduardo & Garagorry, Fabio Cervo & Moraes, Aníbal de & Carvalho, Paulo César de Faccio, 2019. "Public policies for low carbon emission agriculture foster beef cattle production in southern Brazil," Land Use Policy, Elsevier, vol. 80(C), pages 269-273.
    5. Searchinger, Timothy D. & Beringer, Tim & Strong, Asa, 2017. "Does the world have low-carbon bioenergy potential from the dedicated use of land?," Energy Policy, Elsevier, vol. 110(C), pages 434-446.
    6. Alexandre C. Köberle & Vassilis Daioglou & Pedro Rochedo & André F. P. Lucena & Alexandre Szklo & Shinichiro Fujimori & Thierry Brunelle & Etsushi Kato & Alban Kitous & Detlef P. Vuuren & Roberto Scha, 2022. "Can global models provide insights into regional mitigation strategies? A diagnostic model comparison study of bioenergy in Brazil," Climatic Change, Springer, vol. 170(1), pages 1-31, January.
    7. Bonaudo, Thierry & Piraux, Marc & Gameiro, Augusto Hauber, 2021. "Analysing intensification, autonomy and efficiencies of livestock production through nitrogen flows: A case study of an emblematic Amazonian territory," Agricultural Systems, Elsevier, vol. 190(C).
    8. Pedro Henrique Presumido & Fernando Sousa & Artur Gonçalves & Tatiane Cristina Dal Bosco & Manuel Feliciano, 2018. "Environmental Impacts of the Beef Production Chain in the Northeast of Portugal Using Life Cycle Assessment," Agriculture, MDPI, vol. 8(10), pages 1-19, October.
    9. Ronyatta Weich Teobaldo & Abmael da Silva Cardoso & Thais Ribeiro Brito & Rhaony Gonçalves Leite & Eliéder Prates Romanzini & Yury Tatiana Granja-Salcedo & Ricardo Andrade Reis, 2022. "Response of Phytogenic Additives on Enteric Methane Emissions and Animal Performance of Nellore Bulls Raised in Grassland," Sustainability, MDPI, vol. 14(15), pages 1-17, August.
    10. Gianetti, Giovani William & Filho, Joaquim Bento de Souza Ferreira, 2024. "Pasture recovery, emissions, and the Brazilian Paris agreement commitments," Land Use Policy, Elsevier, vol. 141(C).
    11. Ymène Fouli & Margot Hurlbert & Roland Kröbel, 2021. "Greenhouse Gas Emissions From Canadian Agriculture: Estimates and Measurements," SPP Briefing Papers, The School of Public Policy, University of Calgary, vol. 14(35), November.
    12. de Oliveira Silva, Rafael & Barioni, Luis Gustavo & Hall, J. A. Julian & Moretti, Antonio Carlos & Fonseca Veloso, Rui & Alexander, Peter & Crespolini, Mariane & Moran, Dominic, 2017. "Sustainable intensification of Brazilian livestock production through optimized pasture restoration," Agricultural Systems, Elsevier, vol. 153(C), pages 201-211.
    13. Abmael da Silva Cardoso & Rondineli Pavezzi Barbero & Eliéder Prates Romanzini & Ronyatta Weich Teobaldo & Fernando Ongaratto & Marcia Helena Machado da Rocha Fernandes & Ana Cláudia Ruggieri & Ricard, 2020. "Intensification: A Key Strategy to Achieve Great Animal and Environmental Beef Cattle Production Sustainability in Brachiaria Grasslands," Sustainability, MDPI, vol. 12(16), pages 1-17, August.
    14. Vogel, Everton & Martinelli, Gabrielli & Artuzo, Felipe Dalzotto, 2021. "Environmental and economic performance of paddy field-based crop-livestock systems in Southern Brazil," Agricultural Systems, Elsevier, vol. 190(C).
    15. Natalia Vilas Boas Fonseca & Abmael da Silva Cardoso & Angélica Santos Rabelo de Souza Bahia & Juliana Duarte Messana & Eduardo Festozo Vicente & Ricardo Andrade Reis, 2023. "Additive Tannins in Ruminant Nutrition: An Alternative to Achieve Sustainability in Animal Production," Sustainability, MDPI, vol. 15(5), pages 1-11, February.
    16. Ramírez-Restrepo, Carlos A. & Vera-Infanzón, Raul R. & Rao, Idupulapati M., 2020. "Predicting methane emissions, animal-environmental metrics and carbon footprint from Brahman (Bos indicus) breeding herd systems based on long-term research on grazing of neotropical savanna and Brach," Agricultural Systems, Elsevier, vol. 184(C).
    17. Marina Moura Morales & Hélio Tonini & Maurel Behling & Aaron Kinyu Hoshide, 2023. "Eucalyptus Carbon Stock Research in an Integrated Livestock-Forestry System in Brazil," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    18. Mosnier, Claire & Duclos, Anne & Agabriel, Jacques & Gac, Armelle, 2017. "Orfee: A bio-economic model to simulate integrated and intensive management of mixed crop-livestock farms and their greenhouse gas emissions," Agricultural Systems, Elsevier, vol. 157(C), pages 202-215.
    19. Alexandre C. Köberle & Pedro R. R. Rochedo & André F. P. Lucena & Alexandre Szklo & Roberto Schaeffer, 2020. "Brazil’s emission trajectories in a well-below 2 °C world: the role of disruptive technologies versus land-based mitigation in an already low-emission energy system," Climatic Change, Springer, vol. 162(4), pages 1823-1842, October.
    20. Calvano, Maria Paula Cavuto Abrão & Brumatti, Ricardo Carneiro & Barros, Jacqueline Cavalcante & Garcia, Marcos Valério & Martins, Kauê Rodriguez & Andreotti, Renato, 2021. "Bioeconomic simulation of Rhipicephalus microplus infestation in different beef cattle production systems in the Brazilian Cerrado," Agricultural Systems, Elsevier, vol. 194(C).
    21. Pereira, Carolina H. & Patino, Harold O. & Hoshide, Aaron K. & Abreu, Daniel C. & Alan Rotz, C. & Nabinger, Carlos, 2018. "Grazing supplementation and crop diversification benefits for southern Brazil beef: A case study," Agricultural Systems, Elsevier, vol. 162(C), pages 1-9.
    22. Patrice Dumas & Stefan Wirsenius & Tim Searchinger & Nadine Andrieu & Adrien Vogt-Schilb, 2022. "Options to achieve net - zero emissions from agriculture and land use changes in Latin America and the Caribbean," Post-Print halshs-03760573, HAL.
    23. Maciel, Isabella C.F. & Barbosa, Fabiano A. & Alves, Bruno J.R. & Alvarenga, Ramon C. & Tomich, Thierry R. & Campanha, Mônica M. & Rowntree, Jason E. & Alves, Filipe C. & Lana, Ângela M.Q., 2021. "Nitrous oxide and methane emissions from beef cattle excreta deposited on feedlot pen surface in tropical conditions," Agricultural Systems, Elsevier, vol. 187(C).
    24. André Pastori D’Aurea & Abmael da Silva Cardoso & Yuri Santa Rosa Guimarães & Lauriston Bertelli Fernandes & Luis Eduardo Ferreira & Ricardo Andrade Reis, 2021. "Mitigating Greenhouse Gas Emissions from Beef Cattle Production in Brazil through Animal Management," Sustainability, MDPI, vol. 13(13), pages 1-9, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. K. Hergoualc’h & L. Verchot, 2014. "Greenhouse gas emission factors for land use and land-use change in Southeast Asian peatlands," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 19(6), pages 789-807, August.
    2. Elena A. Mikhailova & Garth R. Groshans & Christopher J. Post & Mark A. Schlautman & Gregory C. Post, 2019. "Valuation of Soil Organic Carbon Stocks in the Contiguous United States Based on the Avoided Social Cost of Carbon Emissions," Resources, MDPI, vol. 8(3), pages 1-15, August.
    3. Hoffman, Eric & Cavigelli, Michel A. & Camargo, Gustavo & Ryan, Matthew & Ackroyd, Victoria J. & Richard, Tom L. & Mirsky, Steven, 2018. "Energy use and greenhouse gas emissions in organic and conventional grain crop production: Accounting for nutrient inflows," Agricultural Systems, Elsevier, vol. 162(C), pages 89-96.
    4. Meki, Manyowa N. & Kemanian, Armen R. & Potter, Steven R. & Blumenthal, Jürg M. & Williams, Jimmy R. & Gerik, Thomas J., 2013. "Cropping system effects on sorghum grain yield, soil organic carbon, and global warming potential in central and south Texas," Agricultural Systems, Elsevier, vol. 117(C), pages 19-29.
    5. World Bank, 2017. "Brazil’s INDC Restoration and Reforestation Target," World Bank Publications - Reports 28588, The World Bank Group.
    6. Azhar, Badrul & Nobilly, Frisco & Lechner, Alex M. & Tohiran, Kamil Azmi & Maxwell, Thomas M.R. & Zulkifli, Raja & Kamel, Mohd Fathil & Oon, Aslinda, 2021. "Mitigating the risks of indirect land use change (ILUC) related deforestation from industrial palm oil expansion by sharing land access with displaced crop and cattle farmers," Land Use Policy, Elsevier, vol. 107(C).
    7. Grace, Peter R. & Philip Robertson, G. & Millar, Neville & Colunga-Garcia, Manuel & Basso, Bruno & Gage, Stuart H. & Hoben, John, 2011. "The contribution of maize cropping in the Midwest USA to global warming: A regional estimate," Agricultural Systems, Elsevier, vol. 104(3), pages 292-296, March.
    8. Yang, Q. & Chen, G.Q., 2013. "Greenhouse gas emissions of corn–ethanol production in China," Ecological Modelling, Elsevier, vol. 252(C), pages 176-184.
    9. Kênia Barreiro de Souza & Luiz Carlos de Santana Ribeiro & Fernando Salgueiro Perobelli, 2016. "Reducing Brazilian greenhouse gas emissions: scenario simulations of targets and policies," Economic Systems Research, Taylor & Francis Journals, vol. 28(4), pages 482-496, October.
    10. Zhiqiang Hu & Caiyun Gu & Carmelo Maucieri & Fei Shi & Yufei Zhao & Chenlong Feng & Yan Cao & Yaojun Zhang, 2022. "Crayfish–Fish Aquaculture Ponds Exert Reduced Climatic Impacts and Higher Economic Benefits than Traditional Wheat–Rice Paddy Cultivation," Agriculture, MDPI, vol. 12(4), pages 1-16, April.
    11. Athanasios Balafoutis & Bert Beck & Spyros Fountas & Jurgen Vangeyte & Tamme Van der Wal & Iria Soto & Manuel Gómez-Barbero & Andrew Barnes & Vera Eory, 2017. "Precision Agriculture Technologies Positively Contributing to GHG Emissions Mitigation, Farm Productivity and Economics," Sustainability, MDPI, vol. 9(8), pages 1-28, July.
    12. Noppol Arunrat & Nathsuda Pumijumnong, 2017. "Practices for Reducing Greenhouse Gas Emissions from Rice Production in Northeast Thailand," Agriculture, MDPI, vol. 7(1), pages 1-20, January.
    13. de Oliveira Silva, Rafael & Barioni, Luis G. & Albertini, Tiago Zanett & Eory, Vera & Topp, Cairistiona F.E. & Fernandes, Fernando A. & Moran, Dominic, 2015. "Developing a nationally appropriate mitigation measure from the greenhouse gas GHG abatement potential from livestock production in the Brazilian Cerrado," Agricultural Systems, Elsevier, vol. 140(C), pages 48-55.
    14. Marcelo F. Pompelli & Daniela Vegliante Arrieta & Yirlis Yadeth Pineda Rodríguez & Ana Melisa Jiménez Ramírez & Ana Milena Vasquez Bettin & María Angélica Quiñones Avilez & Jesús Adolfo Ayala Cárcamo , 2022. "Can Chlorophyll a Fluorescence and Photobleaching Be a Stress Signal under Abiotic Stress in Vigna unguiculata L.?," Sustainability, MDPI, vol. 14(23), pages 1-21, November.
    15. Singh, Akshit & Mishra, Nishikant & Ali, Syed Imran & Shukla, Nagesh & Shankar, Ravi, 2015. "Cloud computing technology: Reducing carbon footprint in beef supply chain," International Journal of Production Economics, Elsevier, vol. 164(C), pages 462-471.
    16. Bowman, Maria S., 2016. "Impact of foot-and-mouth disease status on deforestation in Brazilian Amazon and cerrado municipalities between 2000 and 2010," Journal of Environmental Economics and Management, Elsevier, vol. 75(C), pages 25-40.
    17. Kenny, Daniel C., 2017. "Modeling of natural and social capital on farms: Toward useable integration," Ecological Modelling, Elsevier, vol. 356(C), pages 1-13.
    18. Ebiyon Idundun & Andrew S. Hursthouse & Iain McLellan, 2021. "Carbon Management in UK Higher Education Institutions: An Overview," Sustainability, MDPI, vol. 13(19), pages 1-16, September.
    19. Claudinei Oliveira dos Santos & Alexandre de Siqueira Pinto & Janete Rego da Silva & Leandro Leal Parente & Vinícius Vieira Mesquita & Maiara Pedral dos Santos & Laerte Guimaraes Ferreira, 2022. "Monitoring of Carbon Stocks in Pastures in the Savannas of Brazil through Ecosystem Modeling on a Regional Scale," Land, MDPI, vol. 12(1), pages 1-12, December.
    20. Ikabongo Mukumbuta & Mariko Shimizu & Ryusuke Hatano, 2017. "Mitigating Global Warming Potential and Greenhouse Gas Intensities by Applying Composted Manure in Cornfield: A 3-Year Field Study in an Andosol Soil," Agriculture, MDPI, vol. 7(2), pages 1-20, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agisys:v:143:y:2016:i:c:p:86-96. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.