2019
DOI: 10.19103/as.2018.0044.14
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Assessing the environmental impact of ruminant production systems

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Cited by 6 publications
(4 citation statements)
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References 32 publications
(43 reference statements)
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“…Following an extensive search and reanalysis of quantitative data, a combination of multiple mitigation strategies, rather than sole reliance on the most promising one, was more likely to be effective: for example when adopting grazing (to avoid wet periods) was employed concurrently with soil amendments with slurry. This position is strongly in agreement with a recent life cycle assessment (LCA) study at the study site (the NWFP), which found that amongst all sources of uncertainty surrounding carbon footprints of grazing enterprises, uncertainty associated with N 2 O EFs is the largest, and therefore hedging the risk through a mixed strategy would be a sensible approach ( Takahashi et al, 2019 ). In this context, other on-farm options that could contribute to the solution package include: light interception control through manipulation of sward structure ( Congio et al, 2019 ); fertiliser selection to enhance pasture growth and thus the stocking rate ( Louro et al, 2016 ); diet formulation to control N load and urination volume ( Marsden et al, 2016 ); and direct control of grazing intensity ( Tang et al, 2019 ).…”
Section: Discussionsupporting
confidence: 88%
“…Following an extensive search and reanalysis of quantitative data, a combination of multiple mitigation strategies, rather than sole reliance on the most promising one, was more likely to be effective: for example when adopting grazing (to avoid wet periods) was employed concurrently with soil amendments with slurry. This position is strongly in agreement with a recent life cycle assessment (LCA) study at the study site (the NWFP), which found that amongst all sources of uncertainty surrounding carbon footprints of grazing enterprises, uncertainty associated with N 2 O EFs is the largest, and therefore hedging the risk through a mixed strategy would be a sensible approach ( Takahashi et al, 2019 ). In this context, other on-farm options that could contribute to the solution package include: light interception control through manipulation of sward structure ( Congio et al, 2019 ); fertiliser selection to enhance pasture growth and thus the stocking rate ( Louro et al, 2016 ); diet formulation to control N load and urination volume ( Marsden et al, 2016 ); and direct control of grazing intensity ( Tang et al, 2019 ).…”
Section: Discussionsupporting
confidence: 88%
“…Y m , was investigated in isolation as it has been shown to account for ∼50% or more (pending uncertainties) of total GWP 100 carbon footprints of grassland beef systems in the UK (McAuliffe et al 2018 ). Further, these three coefficients were chosen for exploration as they have previously been shown to be the most important drivers of emissions’ uncertainty for beef production systems (Takahashi et al 2019 ).…”
Section: Methodsmentioning
confidence: 99%
“…The respective carbon footprint per unit of RDI (kg CO 2 -eq/% RDI) was derived as the ratio between RDI units delivered each year (based on a mean 68.5% meat yield per carcass weight) and mass-based carbon footprints of the three systems (21.2, 22.6 and 23.5 kg CO 2 -eq/kg final liveweight for GWC, PP and MG, respectively). These carbon footprint values encompass previously defined greenhouse gas emissions attributable to the suckler enterprise (27.1 kg CO 2 -eq/kg weaning weight: Takahashi et al, 2019 ) as well as respective finishing enterprises (16.0, 18.5 and 20.2 CO 2 -eq/kg postweaning liveweight gain for GWC, PP and MG, respectively: McAuliffe et al, 2018b ). These ratios were calculated on an individual animal basis and then averaged per year within each system.…”
Section: Methodsmentioning
confidence: 99%