Publications:

• Arndt, Claudia et al. 2022, Full adoption of the most effective strategies to mitigate methane emissions by ruminants can help meet the 1.5 °C target by 2030 but not 2050
• Belanche, Alejandro et al. 2023, Prediction of enteric methane emissions by sheep using an intercontinental database
• Benaouda, Mohammed et al. 2019, Evaluation of the performance of existing mathematical models predicting enteric methane emissions from ruminants: Animal categories and dietary mitigation strategies
• Bougouin, A. et al. 2022, Prediction of nitrogen excretion from data on dairy cows fed a wide range of diets compiled in an intercontinental database: A meta-analysis
• Bougouin, Adeline et al. 2022, Nitrogen excretion from beef cattle fed a wide range of diets compiled in an intercontinental dataset: a meta-analysis
• Hammond, K.J. et al. 2016, Review of current in vivo measurement techniques for quantifying enteric methane emission from ruminants
• Hristov, A.N. et al. 2019, Invited review: Nitrogen in ruminant nutrition: A review of measurement techniques
• Hristov, A.N. et al. 2018, Symposium review: Uncertainties in enteric methane inventories, measurement techniques, and prediction models
• Niu, Mutian et al. 2018, Prediction of enteric methane production, yield, and intensity in dairy cattle using an intercontinental database
• van Lingen, Henk J. et al. 2019, Prediction of enteric methane production, yield and intensity of beef cattle using an intercontinental database
• Yáñez-Ruiz, D.R. et al. 2016, Design, implementation and interpretation of in vitro batch culture experiments to assess enteric methane mitigation in ruminants—a review
• Zhang, Boyang et al. 2023, Methane prediction equations including genera of rumen bacteria as predictor variables improve prediction accuracy