Issue |
E3S Web Conf.
Volume 599, 2024
6th International Conference on Science and Technology Applications in Climate Change (STACLIM 2024)
|
|
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Article Number | 01005 | |
Number of page(s) | 9 | |
Section | Climate, Emission and Pollution | |
DOI | https://doi.org/10.1051/e3sconf/202459901005 | |
Published online | 10 January 2025 |
Enteric Methane Emission Factor for Local Kedah-Kelantan Cross Beef Cattle in Smallholder Farms of Malaysia
1 Climate Change Program, Agrobiodiversity and the Environment Research Center, Malaysian Agricultural Research and Development Institute (MARDI), 43400 Serdang, Selangor Malaysia
2 Livestock Breeding Program, Livestock Science Research Center, Malaysian Agricultural Research and Development Institute (MARDI), 43400 Serdang, Selangor Malaysia
* Corresponding author: aziziazmin@mardi.gov.my
The ruminant industry is crucial under Malaysia’s National Agrofood Policy (NAP) 2.0, which aims for a 50% Self-Sufficiency Level (SSL) by 2030 to bolster food security. Increasing the ruminant population to meet this goal could elevate greenhouse gas (GHG) emissions, especially methane (CH4) from enteric fermentation. Therefore, a targeted mitigation strategy is necessary, based on precise emission calculations. GHG emissions are determined by multiplying the total population by an emission factor (EF). For accurate estimates, breed-specific EFs are needed. This study developed enteric fermentation EFs for Malaysia’s main beef breed, Kedah-Kelantan (KK) crosses, using the IPCC 2006 tier-2 methodology. The study found that mature male and female KK crosses emit 52.5 and 39.7 kg CH4/head/year, respectively, with a pooled average of 46.1 kg CH4/head/year, differing from the previously developed EF from Brakmas cattle of 51.6 and 65.7 kg CH4/head/year for mature female and male, respectively, with a pooled average of 58.7 kg CH4/head/year and IPCC’s default EF of 47 kg CH4/head/year. Using these breed-specific EFs can lead to more accurate emission estimates and effective GHG mitigation strategies.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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