Methane emissions from indigenous nitrogen-efficient bovidae are overestimated

Livestock are vital for global food security, but are a significant source of methane, a greenhouse gas. Breeding for highly efficient nitrogen utilization and lower emissions is therefore a key goal for sustainable agriculture. Here we compared these traits across wild, indigenous, crossbred, and improved bovines via an extensive meta-analysis, supplemented with measurements of 150 yaks. Our results revealed that indigenous bovine produce less methane and have lower urinary nitrogen loss than improved breeds, indicating superior feed conversion and nitrogen efficiency. Notably, crossbreeds also produce significantly less methane, revealing a hybrid advantage for sustainable breeding. Furthermore, our direct measurements showed that methane emissions from yaks were 39% lower than predicted by Intergovernmental Panel on Climate Change Tier2 models, a pattern of overestimation also evident in other indigenous bovines. These findings reveal that well-adapted indigenous breeds are crucial genetic resources, highlighting the need for breed-specific data to guide global mitigation efforts. Indigenous and crossbred bovines produce less methane and consume nitrogen more efficiently than improved bovines, according to a meta-analysis combined with measurements of methane emissions from yaks in China.

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Publication Details

Journal
Communications Earth & Environment
Published
2025-10-03
DOI
https://doi.org/10.1038/s43247-025-02755-7
Citations
1
Primary Topic
Agriculture Sustainability and Environmental Impact
Type
article
Field-Weighted Citation Impact
1.72

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article

Methane emissions from indigenous nitrogen-efficient bovidae are overestimated

Igshaan Samuels, C.S. Pinares-Patiño, Ruijun Long, Zhenggang Li et al.
1 citations
Communications Earth & Environment
Agriculture Sustainability and Environmental Impact
1.72
article

Methane emissions from indigenous nitrogen-efficient bovidae are overestimated

Igshaan Samuels, C.S. Pinares-Patiño, Ruijun Long, Zhenggang Li, Fuyu Shi, Qing He, Xiaoping Jing, Jiandui Mi, Lei Ma, Xiaowei Li, Zhiyuan Ma, Xin Yang, Xugang Yang
article en
1 citations

Abstract

Livestock are vital for global food security, but are a significant source of methane, a greenhouse gas. Breeding for highly efficient nitrogen utilization and lower emissions is therefore a key goal for sustainable agriculture. Here we compared these traits across wild, indigenous, crossbred, and improved bovines via an extensive meta-analysis, supplemented with measurements of 150 yaks. Our results revealed that indigenous bovine produce less methane and have lower urinary nitrogen loss than improved breeds, indicating superior feed conversion and nitrogen efficiency. Notably, crossbreeds also produce significantly less methane, revealing a hybrid advantage for sustainable breeding. Furthermore, our direct measurements showed that methane emissions from yaks were 39% lower than predicted by Intergovernmental Panel on Climate Change Tier2 models, a pattern of overestimation also evident in other indigenous bovines. These findings reveal that well-adapted indigenous breeds are crucial genetic resources, highlighting the need for breed-specific data to guide global mitigation efforts. Indigenous and crossbred bovines produce less methane and consume nitrogen more efficiently than improved bovines, according to a meta-analysis combined with measurements of methane emissions from yaks in China.

Communications Earth & EnvironmentVol. 6(1)
Human Sciences Research Council (ZA), Japan International Cooperation Agency (JP), Council for Scientific and Industrial Research (ZA), Lanzhou University of Technology (CN), Universidad Andina del Cusco (PE), Agricultural Research Council of South Africa (ZA), Lanzhou University (CN), University of the Western Cape (ZA)
National Science Foundation, National Natural Science Foundation of China, International Atomic Energy Agency, Qinghai University
Openalex Percentile: Top 13%
Agriculture Sustainability and Environmental Impact
1.72
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