Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Palarea-Albaladejo, J.
Rooke, J. A.
Nevison, I. M.
and
Dewhurst, R. J.
2017.
Compositional mixed modeling of methane emissions and ruminal volatile fatty acids from individual cattle and multiple experiments1.
Journal of Animal Science,
Vol. 95,
Issue. 6,
p.
2467.
Goopy, J. P.
2019.
Creating a low enteric methane emission ruminant: what is the evidence of success to the present and prospects for developing economies?.
Animal Production Science,
Vol. 59,
Issue. 10,
p.
1769.
Haskell, Marie J.
Rooke, John A.
Roehe, Rainer
Turner, Simon P.
Hyslop, James J.
Waterhouse, Anthony
and
Duthie, Carol-Anne
2019.
Relationships between feeding behaviour, activity, dominance and feed efficiency in finishing beef steers.
Applied Animal Behaviour Science,
Vol. 210,
Issue. ,
p.
9.
Stewart, Robert D.
Auffret, Marc D.
Warr, Amanda
Walker, Alan W.
Roehe, Rainer
and
Watson, Mick
2019.
Compendium of 4,941 rumen metagenome-assembled genomes for rumen microbiome biology and enzyme discovery.
Nature Biotechnology,
Vol. 37,
Issue. 8,
p.
953.
Bica, R.
Palarea-Albaladejo, J.
Kew, W.
Uhrin, D.
Pacheco, D.
Macrae, A.
and
Dewhurst, R. J.
2020.
Nuclear Magnetic Resonance to Detect Rumen Metabolites Associated with Enteric Methane Emissions from Beef Cattle.
Scientific Reports,
Vol. 10,
Issue. 1,
Auffret, Marc D.
Stewart, Robert D.
Dewhurst, Richard J.
Duthie, Carol-Anne
Watson, Mick
and
Roehe, Rainer
2020.
Identification of Microbial Genetic Capacities and Potential Mechanisms Within the Rumen Microbiome Explaining Differences in Beef Cattle Feed Efficiency.
Frontiers in Microbiology,
Vol. 11,
Issue. ,
Zhang, Qianqian
Difford, Gareth
Sahana, Goutam
Løvendahl, Peter
Lassen, Jan
Lund, Mogens Sandø
Guldbrandtsen, Bernt
and
Janss, Luc
2020.
Bayesian modeling reveals host genetics associated with rumen microbiota jointly influence methane emission in dairy cows.
The ISME Journal,
Vol. 14,
Issue. 8,
p.
2019.
Han, Xueping
Liu, Hongjin
Hu, Linyong
Ma, Li
Xu, Shixiao
Xu, Tianwei
Zhao, Na
Wang, Xungang
and
Chen, Yongwei
2020.
Impact of sex and age on the bacterial composition in rumen of Tibetan sheep in Qinghai China.
Livestock Science,
Vol. 238,
Issue. ,
p.
104030.
Zubieta, Ángel Sánchez
Savian, Jean Victor
de Souza Filho, William
Wallau, Marcelo Osorio
Gómez, Alejandra Marín
Bindelle, Jérôme
Bonnet, Olivier Jean François
and
de Faccio Carvalho, Paulo César
2021.
Does grazing management provide opportunities to mitigate methane emissions by ruminants in pastoral ecosystems?.
Science of The Total Environment,
Vol. 754,
Issue. ,
p.
142029.
Yulistiani, D
Widiawati, Y
Puastuti, W
Tiesnamurti, B
and
Hayati, S Y
2021.
Enteric methane emission and growth rate of three different breeds of beef cattle fed on oil palm frond or grass basal diet.
IOP Conference Series: Earth and Environmental Science,
Vol. 648,
Issue. 1,
p.
012119.
Bharanidharan, Rajaraman
Lee, Chang Hyun
Thirugnanasambantham, Krishnaraj
Ibidhi, Ridha
Woo, Yang Won
Lee, Hong-Gu
Kim, Jong Geun
and
Kim, Kyoung Hoon
2021.
Feeding Systems and Host Breeds Influence Ruminal Fermentation, Methane Production, Microbial Diversity and Metagenomic Gene Abundance.
Frontiers in Microbiology,
Vol. 12,
Issue. ,
Smith, Paul E.
Kelly, Alan K.
Kenny, David A.
and
Waters, Sinéad M.
2022.
Enteric methane research and mitigation strategies for pastoral-based beef cattle production systems.
Frontiers in Veterinary Science,
Vol. 9,
Issue. ,
Martínez-Álvaro, Marina
Mattock, Jennifer
Auffret, Marc
Weng, Ziqing
Duthie, Carol-Anne
Dewhurst, Richard J.
Cleveland, Matthew A.
Watson, Mick
and
Roehe, Rainer
2022.
Microbiome-driven breeding strategy potentially improves beef fatty acid profile benefiting human health and reduces methane emissions.
Microbiome,
Vol. 10,
Issue. 1,
Martínez-Álvaro, Marina
Auffret, Marc D.
Duthie, Carol-Anne
Dewhurst, Richard J.
Cleveland, Matthew A.
Watson, Mick
and
Roehe, Rainer
2022.
Bovine host genome acts on rumen microbiome function linked to methane emissions.
Communications Biology,
Vol. 5,
Issue. 1,
Wu, L.
Harris, P.
Misselbrook, T.H.
and
Lee, M.R.F.
2022.
Simulating grazing beef and sheep systems.
Agricultural Systems,
Vol. 195,
Issue. ,
p.
103307.
Davison, Chris
Michie, Craig
Tachtatzis, Christos
Andonovic, Ivan
Bowen, Jenna
and
Duthie, Carol-Anne
2023.
Feed Conversion Ratio (FCR) and Performance Group Estimation Based on Predicted Feed Intake for the Optimisation of Beef Production.
Sensors,
Vol. 23,
Issue. 10,
p.
4621.
Miller, Gemma A.
Auffret, Marc D.
Roehe, Rainer
Nisbet, Holly
and
Martínez-Álvaro, Marina
2023.
Different microbial genera drive methane emissions in beef cattle fed with two extreme diets.
Frontiers in Microbiology,
Vol. 14,
Issue. ,
Benchaar, Chaouki
Hassanat, Fadi
Beauchemin, Karen A.
Ouellet, Daniel R.
Lapierre, Hélène
and
Côrtes, Cristiano
2023.
Effect of Metabolizable Protein Supply on Milk Performance, Ruminal Fermentation, Apparent Total-Tract Digestibility, Energy and Nitrogen Utilization, and Enteric Methane Production of Ayrshire and Holstein Cows.
Animals,
Vol. 13,
Issue. 5,
p.
832.
Hidayat, Taufiq
Eugenia Rodriguez Espinosa, Maria
Yan, Xiaogang
Theodoridou, Katerina
Samadi
Peng, Quanhui
Feng, Bin
Zhang, Weixian
He, Jiangfeng
and
Yu, Peiqiang
2024.
Feed Additives - Recent Trends in Animal Nutrition [Working Title].
Vol. 0,
Issue. ,
Martínez-Álvaro, Marina
Mattock, Jennifer
González-Recio, Óscar
Saborío-Montero, Alejandro
Weng, Ziqing
Lima, Joana
Duthie, Carol-Anne
Dewhurst, Richard
Cleveland, Matthew A.
Watson, Mick
and
Roehe, Rainer
2024.
Including microbiome information in a multi-trait genomic evaluation: a case study on longitudinal growth performance in beef cattle.
Genetics Selection Evolution,
Vol. 56,
Issue. 1,