Jump to Main Content
A comparative analysis of on-farm greenhouse gas emissions from agricultural enterprises in south eastern Australia
- Browne, Natalie A., Eckard, Richard J., Behrendt, Ralph, Kingwell, Ross S.
- Animal feed science and technology 2011 v.166-167 pp. 641-652
- Merino, agricultural land, beef, beef cattle, calves, carcass weight, climate change, cows, dairy farming, energy, farms, fleece, greenhouse gas emissions, greenhouse gases, inventories, land use change, meat processing, milk, milk fat, models, nitrous oxide, production technology, rain, sheep, steers, wheat, wool, Australia
- Agriculture in Australia contributes 16% of national greenhouse gas (GHG) emissions, with enteric CH₄ and N₂O contributing 10.4% and 2.8% of national emissions, respectively. If agriculture is to face an emissions constrained future then it is important to understand the emission profiles of different agricultural land uses and emissions associated with different production systems. Using the Australian National Inventory methodology, whole farm GHG emissions were calculated for different farm types in south eastern Australia. Fourteen representative farms were examined that included production of Merino fine wool, prime lamb, beef cattle, milk, wheat and canola. These farm systems were defined by the production parameters of an average farm and a top producing farm, ranked on gross margin/ha/100mm rainfall in benchmarking studies. Emissions from the systems were allocated to the primary product from each farm such as wool, meat, milk fat plus protein (MFP) or grains. The biophysical models GrassGro and DairyMod were used to simulate the livestock systems and model outputs were then used in an emissions calculator. This calculator used a yearly time frame and employed the International Panel on Climate Change methodology, as currently used in the Australian National Inventory. The calculator included CH₄ and N₂O on-farm emissions but excluded emissions from pre- and post-farm processes, such as meat processing and fertiliser production. Energy and transport emissions were also excluded because they are not defined as agricultural emissions in the Australian National Inventory. Dairy farms produced the highest emissions/ha (8.4–10.5t CO₂-eqv/ha), followed by beef (3.9–5.1t CO₂-eqv/ha), sheep (2.8–4.3t CO₂-eqv/ha) and grains (0.1–0.2t CO₂-eqv/ha). When compared on an emissions intensity basis (i.e., t CO₂-eqv/t product), cow/calf farms emitted the most (22.4–22.8t CO₂-eqv/t carcass weight) followed by wool (18.1–18.7t CO₂-eqv/t clean fleece), prime lamb (11.4–12.0t CO₂-eqv/t carcass weight), dairy (8.5–9.4t CO₂-eqv/t milk fat+protein), steers (6.3–6.7t CO₂-eqv/t carcass weight) and finally grains (0.04–0.15t CO₂-eqv/t grain). Emissions intensities of top farms were not always less than average farms. If a C price were imposed on agriculture, emissions intensity provides insight about relative cost impacts of the C price on production of different agricultural products under different production systems. The incidence of the C price on different products and production systems could trigger land use change. This article is part of the special issue entitled: Greenhouse Gases in Animal Agriculture – Finding a Balance between Food and Emissions, Guest Edited by T.A. McAllister, Section Guest Editors; K.A. Beauchemin, X. Hao, S. McGinn and Editor for Animal Feed Science and Technology, P.H. Robinson.