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

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

doi:10.1111/gcb.14094

Public

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

Published in Global Change Biology • Feb 16, 2018

Authors:

Mutian Niu

E. Kebreab

A.N. Hristov

Abstract

Abstract Enteric methane ( CH 4 ) production from cattle contributes to global greenhouse gas emissions. Measurement of enteric CH 4 is complex, expensive, and impractical at large scales; therefore, models are commonly used to predict CH 4 production. However, building robust prediction models requ...

Subject

Environmental science

Production (economics)

Yield (engineering)

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