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Biofuel co-products as livestock feed - Opportunities and challenges

Biofuel co-products as livestock feed - Opportunities and challenges

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<strong>Biofuel</strong>s: their <strong>co</strong>-<strong>products</strong> <strong>and</strong> water impacts in the <strong>co</strong>ntext of life-cycle analysis 491TABLE 4Distillers grain with solubles displacement ratios at the <strong>feed</strong>lot levelDisplacement ratio between DGS <strong>and</strong> <strong>co</strong>nventional <strong>feed</strong>(kg/kg of DGS on a DM b<strong>as</strong>is)Dry DGSWet DGSLivestock Maize Soybean Meal Urea Maize Soybean Meal UreaBeef Cattle 1.203 0.000 0.068 1.276 0.000 0.037Dairy Cattle 0.445 0.545 0.000 0.445 0.545 0.000Swine 0.577 0.419 0.000Poultry 0.552 0.483 0.000Average 0.751 0.320 0.024Source: Arora, Wu <strong>and</strong> Wang, 2010.Dry <strong>and</strong> Wet DGS Combined0.788 0.304 0.022FIGURE 9GHG emissions <strong>as</strong> a result of l<strong>and</strong> use changes <strong>as</strong>sociated with maize ethanol (g CO 2 e/MJ)100FAPRI80gCO 2e/MJ604020FAPRI & FASOMGTAP - unrevisedGTAP - revised0Searchinger et al.,2008EPA 2010 CARB 2009 Hertel et al.,2010Tyner et al.,2010(2001 b<strong>as</strong>eline)Tyner et al.,2010(2006b<strong>as</strong>eline,partiallyupdated)Tyner et al.,2010(2006b<strong>as</strong>eline,updatedthrough 2015)dem<strong>and</strong> trends without ethanol production (the so-calledreference c<strong>as</strong>e for global food supply <strong>and</strong> dem<strong>and</strong>), <strong>and</strong>accurate modelling of the substitution of <strong>co</strong>nventionalanimal <strong>feed</strong> with DGS. One model that permits calculationof LUC is Purdue University’s Global Trade Analysis Project(GTAP) model, which h<strong>as</strong> been developed primarily toevaluate global agricultural <strong>co</strong>mmodity trade linkages.GTAP h<strong>as</strong> recently been modified to model maizeethanol production. Figure 9 <strong>co</strong>mpares the revised GTAPmodel predictions of GHG emissions resulting from LUCwith previous studies for maize ethanol programmes. Theprevious studies either used other models (Iowa StateUniversity’s Food <strong>and</strong> Agricultural Policy Research Institute(FAPRI) model, Tex<strong>as</strong> A&M’s Forest <strong>and</strong> Agricultural SectorOptimization Model (FASOM)) or older GTAP versions.The most recent GTAP model version predicts significantlylower LUC <strong>and</strong> resulting GHG emissions than previousstudies. For example, Searchinger et al. (2008), whoused the FAPRI model, predicted GHG emissions (in gCO 2 e/MJ of ethanol) that were 70 percent higher than calculationsby California Air Resources Board (CARB, 2009) <strong>and</strong>Hertel et al. (2010), who used an earlier version of GTAP.Revisions to GTAP resulted in an estimate of GHG emissions85 percent below that of Searchinger et al. (2008), <strong>as</strong>reflected in the results of Tyner et al. (2010).Although the advances made in this work are significant,it should be noted that research is ongoing to furtherreduce uncertainties in in<strong>co</strong>rporating LUC into e<strong>co</strong>nomicmodels. In particular, uncertainties still exist in CGE models,including (1) modelling of DGS <strong>and</strong> other <strong>co</strong>-produced animal<strong>feed</strong>s; (2) global growth in food supply <strong>and</strong> dem<strong>and</strong>;(3) global available l<strong>and</strong> types <strong>and</strong> their potential grainproduction yields; <strong>and</strong> (4) below- <strong>and</strong> above-ground carbonstocks for different l<strong>and</strong> <strong>co</strong>ver types.BIOFUEL LCA RESULTSFigure 10 displays life-cycle carbon dioxide equivalent(CO 2 e) emissions for petroleum g<strong>as</strong>oline, six types of maizeethanol, three types of cellulosic ethanol, <strong>and</strong> sugar caneethanol. Maize ethanol produced at <strong>co</strong>al-powered plants

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