scholarly journals Beef Production and Greenhouse Gas Emissions

2008 ◽  
Vol 116 (9) ◽  
Author(s):  
Alex Avery ◽  
Dennis Avery
Animals ◽  
2012 ◽  
Vol 2 (2) ◽  
pp. 195-220 ◽  
Author(s):  
John Basarab ◽  
Vern Baron ◽  
Óscar López-Campos ◽  
Jennifer Aalhus ◽  
Karen Haugen-Kozyra ◽  
...  

2014 ◽  
pp. 140519061725009
Author(s):  
Ashley Stewart ◽  
Aklilu Wake Alemu ◽  
Kim Ominski ◽  
Colleen Wilson ◽  
Denis Tremorin ◽  
...  

2015 ◽  
Vol 175 ◽  
pp. 101-112 ◽  
Author(s):  
A.M. Mazzetto ◽  
B.J. Feigl ◽  
R.L.M. Schils ◽  
C.E.P. Cerri ◽  
C.C. Cerri

2016 ◽  
Vol 56 (5) ◽  
pp. 882 ◽  
Author(s):  
Stephen Wiedemann ◽  
Eugene McGahan ◽  
Caoilinn Murphy ◽  
Mingjia Yan

Resource use and environmental impacts are important factors relating to the sustainability of beef production in Australia. This study used life cycle assessment to investigate impacts from grass-finished beef production in eastern Australia to the farm gate, reporting impacts per kilogram of liveweight (LW) produced. Mean fossil fuel energy demand was found to vary from 5.6 to 8.4 MJ/kg LW, mean estimated fresh water consumption from 117.9 to 332.4 L/kg LW and crop land occupation from 0.3 to 6.4 m2/kg LW. Mean greenhouse gas emissions ranged from 10.6 to 12.4 kg CO2-e/kg LW (excluding land use and direct land-use change emissions) and were not significantly different (P > 0.05) for export or domestic market classes. Enteric methane was the largest contributor to greenhouse gas emissions, and multiple linear regression analysis revealed that weaning rate and average daily gain explained 80% of the variability in supply chain greenhouse gas emissions. Fresh water consumption was found to vary significantly among individual farms depending on climate, farm water supply efficiency and the use of irrigation. The impact of water use was measured using the stress-weighted water use indicator, and ranged from 8.4 to 104.2 L H2O-e/kg LW. The stress-weighted water use was influenced more by regional water stress than the volume of fresh water consumption. Land occupation was assessed with disaggregation of crop land, arable pasture land and non-arable land, which revealed that the majority of beef production utilised non-arable land that is unsuitable for most alternative food production systems.


2018 ◽  
Vol 58 (6) ◽  
pp. 990 ◽  
Author(s):  
Brendan R. Cullen ◽  
Neil D. MacLeod ◽  
Joe C. Scanlan ◽  
Natalie Doran-Browne

Previous studies of greenhouse gas emissions (GHGE) from beef production systems in northern Australia have been based on models of ‘steady-state’ herd structures that do not take into account the considerable inter-annual variation in liveweight gain, reproduction and mortality rates that occurs due to seasonal conditions. Nor do they consider the implications of flexible stocking strategies designed to adapt these production systems to the highly variable climate. The aim of the present study was to quantify the variation in total GHGE (t CO2e) and GHGE intensity (t CO2e/t liveweight sold) for the beef industry in northern Australia when variability in these factors was considered. A combined GRASP–Enterprise modelling platform was used to simulate a breeding–finishing beef cattle property in the Burdekin River region of northern Queensland, using historical climate data from 1982–2011. GHGE was calculated using the method of Australian National Greenhouse Gas Inventory. Five different stocking-rate strategies were simulated with fixed stocking strategies at moderate and high rates, and three flexible stocking strategies where the stocking rate was adjusted annually by up to 5%, 10% or 20%, according to pasture available at the end of the growing season. Variation in total annual GHGE was lowest in the ‘fixed moderate’ (~9.5 ha/adult equivalent (AE)) stocking strategy, ranging from 3799 to 4471 t CO2e, and highest in the ‘fixed high’ strategy (~5.9 ha/AE), which ranged from 3771 to 7636 t CO2e. The ‘fixed moderate’ strategy had the least variation in GHGE intensity (15.7–19.4 t CO2e/t liveweight sold), while the ‘flexible 20’ strategy (up to 20% annual change in AE) had the largest range (10.5–40.8 t CO2e/t liveweight sold). Across the five stocking strategies, the ‘fixed moderate’ stocking-rate strategy had the highest simulated perennial grass percentage and pasture growth, highest average rate of liveweight gain (121 kg/steer), highest average branding percentage (74%) and lowest average breeding-cow mortality rate (3.9%), resulting in the lowest average GHGE intensity (16.9 t CO2e/t liveweight sold). The ‘fixed high’ stocking rate strategy (~5.9 ha/AE) performed the poorest in each of these measures, while the three flexible stocking strategies were intermediate. The ‘fixed moderate’ stocking strategy also yielded the highest average gross margin per AE carried and per hectare. These results highlight the importance of considering the influence of climate variability on stocking-rate management strategies and herd performance when estimating GHGE. The results also support a body of previous work that has recommended the adoption of moderate stocking strategies to enhance the profitability and ecological stability of beef production systems in northern Australia.


2015 ◽  
Vol 174 ◽  
pp. 126-143 ◽  
Author(s):  
L. Mogensen ◽  
T. Kristensen ◽  
N.I. Nielsen ◽  
P. Spleth ◽  
M. Henriksson ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document