Prediction of enteric methane production, yield, and intensity in dairy cattle using an intercontinental database

Mutian Niu, E. Kebreab, A.N. Hristov, J. Oh, Claudia Arndt, A. Bannink, A.R. Bayat, A.F. Brito, T.M. Boland, D. P. Casper, L.A. Crompton, J. Dijkstra, Maguy Eugène, P. C. Garnsworthy, Md Najmul Haque, Anne Louise Frydendahl Hellwing, Pekka Huhtanen, Michael Kreuzer, B. Kuhla, Peter Lund, Jørgen Øgaard Madsen, Cécile Martin, Shelby C. McClelland, Mark McGee, Peter J. Moate, Stefan Muetzel, Camila Muñoz, P. O’Kiely, Nico Peiren, C.K. Reynolds, Angela Schwarm, K.J. Shingfield, T. M. Storlien, Martin Riis Weisbjerg, David R. Yáñez-Ruíz, Zhongtang Yu

Global Change Biology, 2018

University of California, Davis, Pennsylvania State University, Environmental Defense Fund, Wageningen University & Research, Natural Resources Institute Finland, University of New Hampshire, University College Dublin, Freeport-McMoRan (United States), University of Reading, Université Clermont Auvergne, VetAgro Sup, University of Nottingham, Cardiff University, University of Copenhagen, Aarhus University, Swedish University of Agricultural Sciences, ETH Zurich, Research Institute for Farm Animal Biology (FBN), Colorado State University, Food Safety Authority of Ireland, Teagasc - The Irish Agriculture and Food Development Authority, Department of Economic Development Jobs Transport and Resources, AgResearch, Palmerston North Hospital, Instituto de Investigaciones Agropecuarias, Department of Primary Industries, Aberystwyth University, Institute of Biological, Environmental and Rural Sciences, Norwegian University of Life Sciences, Estación Experimental del Zaidín, The Ohio State University

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Abstract

This research paper explore the methodology and findings associated with Global Change Biology. The study delves into the core aspects of the research field, providing significant data and citation impact. (Full abstract processing is available via the OpenAlex API).

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Prediction of enteric methane production, yield, and intensity in dairy cattle using an intercontinental database

Abstract

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