Hostname: page-component-8448b6f56d-cfpbc Total loading time: 0 Render date: 2024-04-19T23:36:47.316Z Has data issue: false hasContentIssue false

Simulation of enteric methane emissions from individual beef cattle in tropical pastures of improving quality: a case study with the model RUMINANT

Published online by Cambridge University Press:  28 October 2016

L. B. Mendes*
Affiliation:
Ecosystems Services and Management, International Institute for Applied Systems Analysis, Schlossplatz 1, A2351 Laxenburg, Austria
M. Herrero
Affiliation:
Agriculture Flagship, Commonwealth Scientific and Industrial Research Organization, Bioscience Precinct, 306 Carmody Road, St. Lucia, QLD, Australia
P. Havlík
Affiliation:
Ecosystems Services and Management, International Institute for Applied Systems Analysis, Schlossplatz 1, A2351 Laxenburg, Austria
A. Mosnier
Affiliation:
Ecosystems Services and Management, International Institute for Applied Systems Analysis, Schlossplatz 1, A2351 Laxenburg, Austria
S. F. Balieiro
Affiliation:
Ecosystems Services and Management, International Institute for Applied Systems Analysis, Schlossplatz 1, A2351 Laxenburg, Austria
R. E. M. Moreira
Affiliation:
Center for Advanced Studies on Applied Economics, University of São Paulo, Av. Centenário, 1080, Piracicaba, São Paulo, Brazil
M. Obersteiner
Affiliation:
Ecosystems Services and Management, International Institute for Applied Systems Analysis, Schlossplatz 1, A2351 Laxenburg, Austria
*
Get access

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Full Paper
Copyright
© The Animal Consortium 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Agri-Benchmark 2016. Agri Benchmark – beef and sheep. Retrieved on 13 January 2016 from http://www.agribenchmark.org/beef-and-sheep.html.Google Scholar
Cohn, AS, Mosnier, A, Havlik, P, Valin, H, Herrero, M, Schmid, E, O’Hare, M and Obersteiner, M 2014. Cattle ranching intensification in Brazil can reduce global greenhouse gas emissions by sparing land deforestation. Proceedings of the National Academy of Science 111, 72367241.Google Scholar
Gerber, PJ, Steinfeld, H, Henderson, B, Mottet, A, Opio, C, Dijkman, J, Falucci, A and Tempio, G 2013. Tackling climate change through livestock – a global assessment of emissions and mitigation opportunities. FAO, Rome. pp. 1139.Google Scholar
Herrero, M, Havlik, P, Notenbaert, A, Rufino, MC, Thornton, PK, Blümmel, M, Weiss, F, Grace, D and Obersteiner, M 2013. Biomass use, production, feed efficiencies, and greenhouse gas emissions from global livestock systems. Proceedings of the National Academy of Sciences of the Unites States of America 110, 2088820893.CrossRefGoogle ScholarPubMed
Hristov, AN, Ott, T, Tricarico, J, Rotz, A, Waghorn, G, Adesogan, A and Dijkstra, J 2013. Special topics – mitigation of methane and nitrous oxide emissions from animal operations: III. A review of animal management mitigation options. Journal of Animal Science 91, 50955113.Google Scholar
Illius, AW and Gordon, IJ 1991. Prediction of intake and digestion in ruminants by a model of rumen kinetics integrating animal size and plant characteristics. Journal of Agricultural Science, Cambridge 116, 145157.CrossRefGoogle Scholar
Sniffen, CJ, O’Connor, JD, Van-Soest, PJ, Fox, DG and Russel, JB 1992. A net carbohydrate and protein system for evaluating cattle diets: I. carbohydrate and protein availability. Journal of Animal Science 70, 35623577.CrossRefGoogle Scholar