Evaluation of the precision and accuracy of models of enteric methane1 emissions from ruminants using Bayesian inference

Preprint

Published on February 2025

Citation

Blondiaux, P., Cabezas-Garcia, E.H., Senga Kiessé, T., Muñoz-Tamayo, R., Reed, K. F. and Eugène, M. 2025. Evaluation of the precision and accuracy of models of enteric methane emissions from ruminants using Bayesian inference. Zenodo Preprint, Version 3. https://dx.doi.org/10.5281/zenodo.14049835

Authors

Blondiaux, P.

GHG emissions
cattle
data
livestock
research
climate change

International Land Coalition Rangelands Initiative: Making rangelands secure

ACTIVE Feb 2028

Emerging public health threats in Africa’s drylands

Adopting technologies to enhance productivity, resilience and equity in ruminant livestock resources under pastoral systems of Africa

Unlocking sustainable livestock’s potential through research for better lives and a better planet: ILRI Corporate Strategy 2024–2030

Evaluation of the precision and accuracy of models of enteric methane1 emissions from ruminants using Bayesian inference

Citation

Authors

ILRI Kenya

ILRI Ethiopia

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International Land Coalition Rangelands Initiative: Making rangelands secure

ACTIVE Feb 2028

Emerging public health threats in Africa’s drylands

Adopting technologies to enhance productivity, resilience and equity in ruminant livestock resources under pastoral systems of Africa

Unlocking sustainable livestock’s potential through research for better lives and a better planet: ILRI Corporate Strategy 2024–2030

Evaluation of the precision and accuracy of models of enteric methane1 emissions from ruminants using Bayesian inference

Citation

Authors

ILRI Kenya

ILRI Ethiopia