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LCA Food 2012 in Saint Malo, France! - Manifestations et colloques ...

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PARALLEL SESSION 7B: BEEF PRODUCTION SYSTEMS 8 th Int. Conference on <strong>LCA</strong> <strong>in</strong> the<br />

Agri-<strong>Food</strong> Sector, 1-4 Oct <strong>2012</strong><br />

An assessment of greenhouse gas emissions and economics of grass<br />

based suckler beef production systems<br />

Anne-Marie Clarke 1 , Paul Crosson 1,* , Padraig Brennan 2<br />

1 Animal & Grassland Research and Innovation Centre, Teagasc, Grange, Dunsany, Co. Meath, Ireland<br />

2 Bord Bia, Clanwilliam Court, Lower Mount Stre<strong>et</strong>, Dubl<strong>in</strong> 2, Ireland<br />

Correspond<strong>in</strong>g author. E-mail: paul.crosson@teagasc.ie<br />

ABSTRACT<br />

The objective of this paper was to evaluate the impact of stock<strong>in</strong>g rate (kg of organic nitrogen (N) per hectare (ha)) for steer beef<br />

production system on technical and economic performance and greenhouse gas emissions. Carcass output and profitability <strong>in</strong>creased<br />

with <strong>in</strong>creas<strong>in</strong>g stock<strong>in</strong>g rate. At a stock<strong>in</strong>g rate of 150 kg organic N/ha, total emissions were lowest per kg of beef carcass (23.4 kg<br />

CO2e /kg beef) and per hectare (9.7 t/CO2e/ha). The highest output and economic r<strong>et</strong>urns were achieved at the highest stock<strong>in</strong>g rate<br />

(220 kg organic N/ha). Enteric fermentation was the greatest source of GHG emissions and ranged from 46% to 44% of total emissions<br />

with <strong>in</strong>creas<strong>in</strong>g stock<strong>in</strong>g rate. N<strong>et</strong> marg<strong>in</strong> per tonne of CO2 e (emission efficiency) <strong>in</strong>creased with <strong>in</strong>creas<strong>in</strong>g stock<strong>in</strong>g rate.<br />

Keywords: <strong>LCA</strong>, profitability, stock<strong>in</strong>g rate<br />

1. Introduction<br />

In Ireland, agriculture is the largest contributor of greenhouse gas (GHG) emissions account<strong>in</strong>g for 30.4%<br />

of national emissions <strong>in</strong> 2010 (EPA, 2011a). Agriculture will be required to share the burden of emissions<br />

reductions based on the EU targ<strong>et</strong> to reduce emissions by 20% by 2020. The primary GHGs from agricultural<br />

production are m<strong>et</strong>hane (CH4) and nitrous oxide (N2O). Of emissions from agriculture, enteric fermentation,<br />

manure management and nitrogen additions to agricultural soils account for 47%, 28% and 20% of<br />

total emissions, respectively (EPA, 2011b). Life cycle assessment (<strong>LCA</strong>) is a m<strong>et</strong>hod that evaluates the environmental<br />

impact of products and is regulated by the International Organisation for Standardisation (ISO)<br />

standards (ISO, 2006). One of these environmental impact categories is Global Warm<strong>in</strong>g Potential which is a<br />

relative measure of how much heat a greenhouse gas traps <strong>in</strong> the atmosphere. The result of an <strong>LCA</strong> study is<br />

reported <strong>in</strong> terms of relative impact per unit product, known as the functional unit (ISO, 2006).<br />

A number of <strong>LCA</strong> studies (Nguyen <strong>et</strong> al., 2010; P<strong>et</strong>ers <strong>et</strong> al., 2010; Roy <strong>et</strong> al., <strong>2012</strong>) have been carried<br />

out on beef cattle production and <strong>in</strong> most cases the GHG emissions are reported per unit (kilogram) of meat<br />

produced <strong>in</strong> carbon dioxide equivalent, (CO2e). Roy <strong>et</strong> al., (<strong>2012</strong>) reported that GHG emissions of beef (35.6<br />

kg CO2e/kg-meat) were greater than that of pork (6.9 kg CO2e/kg-meat) or chicken (6.0 kg CO2e/kg-meat) <strong>in</strong><br />

Japan. P<strong>et</strong>ers <strong>et</strong> al., (2010) exam<strong>in</strong>ed red meat production <strong>in</strong> Australia and the results of this study showed<br />

that farm level emissions were responsible for the largest proportion of the total burden compared to feedlot<br />

and process<strong>in</strong>g stages of its lifecycle. Nguyen <strong>et</strong> al., (2010) reported that suckler cow calf-beef production<br />

system produced 27.3 kg CO2e/kg-meat (slaughter weight), while dairy calf to beef systems produced on<br />

average 17.9 CO2e/kg-meat. Casey and Holden, (2006), White <strong>et</strong> al., (2010) and Foley <strong>et</strong> al., (2011) exam<strong>in</strong>ed<br />

the effect on greenhouse gas emissions of different farm systems. However the effect of <strong>in</strong>creas<strong>in</strong>g<br />

stock<strong>in</strong>g rate on greenhouse gas emissions for Irish suckler beef systems has not been <strong>in</strong>vestigated.<br />

The objective of this paper was to evaluate the impact of stock<strong>in</strong>g rate (kg of organic nitrogen (N) per<br />

hectare (ha)) on steer beef production systems for technical and economic performance and greenhouse gas<br />

emissions.<br />

2. M<strong>et</strong>hods<br />

A bioeconomic model of suckler beef production systems, the Grange Beef Systems Model GBSM<br />

(Crosson <strong>et</strong> al., 2006; Crosson, 2008) was used to generate steer beef cattle system scenarios and to quantify<br />

the technical and economic performance of these systems. The scenarios were based on spr<strong>in</strong>g calv<strong>in</strong>g suckler<br />

calf to beef research farm systems <strong>in</strong> Ireland f<strong>in</strong>ish<strong>in</strong>g steers at 24 months of age and heifers at 20 months<br />

of age. (Drennan and McGee, 2009). The GBSM runs on a monthly time-step and assumes a steady state<br />

system over a calendar year. The output data of the GBSM specifies the essential <strong>in</strong>put data for the <strong>LCA</strong><br />

model that estimates the greenhouse gas emissions associated with grass based suckler beef production systems.<br />

This <strong>in</strong>cludes animal type and numbers, animal weights, feed <strong>in</strong>take, feed characteristics (eg DM,<br />

DMD, nitrogen concentrations, gross energy), manure application profile, nitrogen fertiliser application<br />

(kg/ha), beef produced (kg), lime application (kg/ha) and electricity consumption (kw). This model also provides<br />

f<strong>in</strong>ancial performance data such as farm n<strong>et</strong> marg<strong>in</strong>. N<strong>et</strong> marg<strong>in</strong> <strong>in</strong>cludes direct and overhead costs and<br />

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