In:
Sustainability, MDPI AG, Vol. 13, No. 16 ( 2021-08-15), p. 9133-
Abstract:
Dairy cattle farming contributes significantly to greenhouse gas (GHG) emissions through methane (CH4) from enteric fermentation. To complement global efforts to mitigate climate change, there is a need for accurate estimations of GHG emissions using country-specific emission factors (EFs). The objective of this study was to develop national EFs for the estimation of CH4 emissions from enteric fermentation in South Korean dairy cattle. Information on dairy cattle herd characteristics, diet, and management practices specific to South Korean dairy cattle farming was obtained. Enteric CH4 EFs were estimated according to the 2019 refinement of the 2006 Intergovernmental Panel on Climate Change (IPCC) using the Tier 2 approach. Three animal subcategories were considered according to age: milking cows 〉 2 years, 650 kg body weight (BW); heifers 1–2 years, 473 kg BW; and growing animals 〈 1 year, 167 kg BW. The estimated enteric CH4 EFs for milking cows, heifers, and growing animals, were 139, 83 and 33 kg/head/year, respectively. Currently, the Republic of Korea adopts the Tier 1 default enteric CH4 EFs from the North America region for GHG inventory reporting. Compared with the generic Tier 1 default EF of 138 (kg CH4/head/year) proposed by the 2019 refinement to the 2006 IPCC guidelines for high-milking cows, our suggested value for milking cows was very similar (139 kg CH4 /head/year) and different to heifers and growing animals EFs. In addition, enteric CH4 EFs were strongly correlated with the feed digestibility, level of milk production, and CH4 conversion rate. The adoption of the newly developed EFs for dairy cattle in the next national GHG inventory would lead to a potential total GHG reduction from the South Korean dairy sector of 97,000 tons of carbon dioxide-equivalent per year (8%). The outcome of this study underscores the importance of obtaining country-specific EFs to estimate national enteric CH4 emissions, which can further support the assessment of mitigation actions.
Type of Medium:
Online Resource
ISSN:
2071-1050
Language:
English
Publisher:
MDPI AG
Publication Date:
2021
detail.hit.zdb_id:
2518383-7
