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      Enteric methane emission factors of smallholder dairy farming systems across intensification gradients in the central highlands of Ethiopia

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          Abstract

          Background

          Following global pledges to reduce greenhouse gas (GHG) emissions by 30% by 2030 compared to the baseline level of 2020, improved quantification of GHG emissions from developing countries has become crucial. However, national GHG inventories in most Sub-Saharan African countries use default (Tier I) emission factors (EF S) generated by the Intergovernmental Panel on Climate Change (IPCC) to estimate enteric CH 4 emissions from animal agriculture. The present study provides an improved enteric CH 4 emission estimate (Tier II) based on animal energy requirements derived from animal characteristics and performance data collected from about 2500 cattle in 480 households from three smallholder farming systems to represent the common dairy farming in the central highlands of Ethiopia. Using average seasonal feed digestibility data, we estimated daily methane production by class of animal and farming system and subsequently generated improved EF.

          Results

          Our findings revealed that the estimated average EF and emission intensities (EI) vary significantly across farming systems. The estimated value of EF for adult dairy cows was 73, 69, and 34 kg CH 4/cow/year for urban, peri-urban, and rural farming systems, respectively. Rural dairy farming had significantly higher emission intensity (EI) estimated at 1.78 CO 2-eq per kg of fat protein-corrected milk (FPCM) than peri-urban and urban 0.71 and 0.64 CO 2-eq kg −1 FPCM dairy farming systems, respectively. The EF estimates in this study are lower than the IPCC's (2019) default value for both stall-fed high-productive and dual-purpose low-productive cows.

          Conclusions

          The current findings can be used as a baseline for the national emission inventory, which can be used to quantify the effects of future interventions, potentially improving the country's commitment to reducing GHG emissions. Similarly, this study suggests that increased animal productivity through improved feed has a considerable mitigation potential for reducing enteric methane emissions in smallholder dairy farming systems in the study area.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13021-023-00242-0.

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          Most cited references50

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          Biomass use, production, feed efficiencies, and greenhouse gas emissions from global livestock systems.

          We present a unique, biologically consistent, spatially disaggregated global livestock dataset containing information on biomass use, production, feed efficiency, excretion, and greenhouse gas emissions for 28 regions, 8 livestock production systems, 4 animal species (cattle, small ruminants, pigs, and poultry), and 3 livestock products (milk, meat, and eggs). The dataset contains over 50 new global maps containing high-resolution information for understanding the multiple roles (biophysical, economic, social) that livestock can play in different parts of the world. The dataset highlights: (i) feed efficiency as a key driver of productivity, resource use, and greenhouse gas emission intensities, with vast differences between production systems and animal products; (ii) the importance of grasslands as a global resource, supplying almost 50% of biomass for animals while continuing to be at the epicentre of land conversion processes; and (iii) the importance of mixed crop–livestock systems, producing the greater part of animal production (over 60%) in both the developed and the developing world. These data provide critical information for developing targeted, sustainable solutions for the livestock sector and its widely ranging contribution to the global food system.
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                Author and article information

                Contributors
                dhiro2009@gmail.com
                Journal
                Carbon Balance Manag
                Carbon Balance Manag
                Carbon Balance and Management
                Springer International Publishing (Cham )
                1750-0680
                29 November 2023
                29 November 2023
                December 2023
                : 18
                : 23
                Affiliations
                [1 ]College of Agriculture and Natural Resource, Selale University, Fitche, Ethiopia
                [2 ]Department of Biological Sciences Faculty of Sciences, University of Agriculture and Natural Resources, Gaborone, Botswana
                [3 ]School of Animal and Range Sciences, Hawassa University, ( https://ror.org/04r15fz20) Hawassa, Ethiopia
                [4 ]Department of Forest Management, University of British Colombia, ( https://ror.org/03rmrcq20) Vancouver, Canada
                [5 ]Department of Livestock Development, Bureau of Animal Husbandry and Genetics Improvement, ( https://ror.org/04gwfmd61) Pathum Thani, Thailand
                [6 ]College of Development Studies, Center for Environment and Development, Addis Ababa University, ( https://ror.org/038b8e254) Addis Ababa, Ethiopia
                Article
                242
                10.1186/s13021-023-00242-0
                10688001
                38019331
                6de9b3b5-c8fb-46b9-b98f-1b19d94d0828
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 21 December 2022
                : 10 November 2023
                Funding
                Funded by: Global research alliances CGIRA Research Program on Climate Change, Agriculture and Food Security (CCAFS) and the Global Research Alliance on Agricultural Greenhouse Gases (GRA) Climate Food and Farming
                Categories
                Research
                Custom metadata
                © Springer Nature Switzerland AG 2023

                Environmental change
                enteric methane emission,emission factor,emission intensity,ethiopia,smallholder dairy farming systems

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