Country	Area of trait (‘000 ha)	Yield assumption % change	Base yield (tonnes/ha)	Farm level price ($/tonne)	Cost of technology ($/ha)	Impact on costs, net of cost of technology ($/ha)	Change in farm income ($/ha)	Change in farm income at national level (‘000 $)	Production impact (‘000 tonnes)
US	29,772	Nil	11.07	137	+24.23	−32.11	+32.11	+955,993	Nil
Canada	1,402	Nil	9.71	150	+26.69	−8.89	+8.89	+12,469	Nil
Argentina: as single trait	200	+3% con belt, +22% marginal areas	9.06 corn belt, 5.48 marginal areas	151	+6.64	−2.54	+41.10 corn belt, +182.3 marginal areas	+25,676	+166
Argentina: as stacked trait	5,065	+10.25	7.95	151	+19.90	−10.68	+112.57	+570,281	+4,130
South Africa	1,781	Nil	4.79	174	+12.08	−0.84	+0.84	+1,490	Nil
Philippines	630	+5	3.02	266	+37.98	+13.14	+26.78	+16,868	+95
Colombia	76	Zero	5.47	244	+23.16	−9.82	+9.82	+746	Nil
Brazil	14,740	+3	5.04	128	+28.16	+14.12	+2.54	+77	+2,231
Uruguay	107	Nil	7.61	226	+6.64	−2.54	+2.54	+272	Nil
Paraguay	380	Nil	5.59	151	+12.82	+3.23	+3.23	+1,227	Nil
Vietnam	49	+5	4.65	234	+25.29	+15.99	+38.50	+4,429	+11

Where no positive yield effect due to this technology is applied, the base yields shown are the indicative average yields for the crops and differ (are higher) than those used for the GM IR base yield analysis, which have been adjusted downwards to reflect the impact of the yield enhancing technology (see below). Argentina: single trait. In the Corn Belt, it is assumed that 70% of trait plantings occur in this region and marginal regions account for the balance. In relation to stacked traits, the yield impact (+10.25%) is in addition to the yield 5.5% impact presented for the GM IR trait (above). In other words, the total estimated yield impact of stacked traits is +15.75%. The cost of the technology also relates specifically to the HT part of the technology (sold within the stack)