Foreword
This brief is intended for use by a wide range of people with
interests in agriculture and the environment. As a summary of the
key findings relating to the impact of biotech crops (1996-2007),
it focuses on the environmental effects associated with pesticide
usage and greenhouse gas (GHG) emissions, as detailed in
‘Global impact of biotech crops: socio-economic and environmental
effects 1996-2007’,
by Graham Brookes & Peter Barfoot.
The food security analysis presented in this document is derived
from data contained in the full report.
Environmental benefits
Pesticide reductions
Since 1997, the use of pesticides on the biotech crop area has
been reduced by 359 million kg of active ingredient, an 8.8%
reduction. This is equivalent to one and a quarter times the
total volume of pesticide active ingredient applied to arable
crops in the EU (27) in a year.
Whilst changes in the volume of pesticides applied to crops can be
a useful indicator of environmental impact, it is an imperfect
measure because it does not account for differences in the
specific pest control programmes used in biotech and conventional
cropping systems. Using a more robust and comprehensive measure
of the environmental impact associated with pesticide use, the
environmental impact quotient (EIQ),
this measure shows that the environmental impact associated with
herbicide and insecticide use on the area planted to biotech crops
between 1996 and 2007 fell by 17.2% (Table 1).
In both absolute and per hectare usage terms, the largest
environmental gain has been associated with the adoption of
biotech IR cotton. Since 1996, farmers have used 147.6 million kg
less insecticide in biotech IR cotton crops (a 23% reduction), and
this has reduced the associated environmental impact of
insecticide use on this crop area by 27.8%.
Important environmental gains have arisen from the use of biotech
HT soybeans, reflecting the large share of global soybean
plantings accounted for by biotech soybeans (Table 1). The volume
of herbicides used in biotech soybean crops decreased by 73
million kg (1996-2007), a 4.6% reduction, and, the overall
environmental impact associated with herbicide use on these crops
decreased by 20.9% (relative to the volume that would have
probably been used if this cropping area had been planted to
conventional soybeans). Important environmental gains have also
arisen in the maize and canola sectors (Table 1).
Table
1:
Global impact of herbicide and insecticide use changes from
biotech crops 1996-2007
|
Trait |
Change in volume of active ingredient used (million kg) |
Change in field EIQ impact (in terms of million field EIQ/ha
units) |
% change in ai use on biotech crops |
% change in environmental impact associated with herbicide &
insecticide use on biotech crops |
|
GM herbicide tolerant soybeans |
-73.0 |
-6,283 |
-4.6 |
-20.9 |
|
GM herbicide tolerant maize |
-81.8 |
-1,934 |
-6.0 |
-6.8 |
|
GM herbicide tolerant cotton |
-37.0 |
-748 |
-15.1 |
-16.0 |
|
GM herbicide tolerant canola |
-9.7 |
-443 |
-13.9 |
-25.8 |
|
GM insect resistant maize |
-10.2 |
-528 |
-5.9 |
-6.0 |
|
GM insect resistant cotton |
-147.6 |
-7,133 |
-23.0 |
-27.8 |
|
Totals |
-359.3 |
-17,069 |
-8.8 |
-17.2 |
In terms of the division of the environmental benefits associated
with less insecticide and herbicide use, over half of the
environmental benefits (1996-2007) have been in developing
countries (52%). The vast majority of these environmental gains
have been from the use of biotech IR cotton and HT soybeans.
Greenhouse gas emission (GHG) cuts
Biotech crops have also delivered significant savings in
greenhouse gas emissions. In 2007, the 111 million hectares of
biotech crops facilitated a 14.2 billion kg reduction in carbon
dioxide emissions, equivalent to removing 6.3 million cars from
the roads for a year (equal to 24% of all registered cars in the
UK off the roads for a year (Table 2)).
Table 2:
Impact of biotech crops on carbon emissions 2007
|
Carbon dioxide savings from reduced fuel use (billion kg co2) |
1.14 |
|
Additional soil carbon sequestration savings (billion kg co2) |
13.10 |
|
Total co2 savings (billion kg co2) |
14.24 |
|
Car equivalents removed from road (million) |
6.3 |
The GHG emission reductions derive from two principle sources:
·
Reduced fuel use from less frequent herbicide or insecticide
applications and a reduction in the energy use in soil
cultivation. The fuel savings associated with making fewer spray
runs (relative to conventional crops) and the switch to
conservation, reduced and no-till farming systems, have resulted
in permanent savings in carbon dioxide emissions. In 2007, this
amounted to about 1,144 million kg (arising from reduced fuel use
of 416 million litres: table 2). Over the period 1996 to 2007 the
cumulative permanent reduction from fuel use is estimated at 7,090
million kg of carbon dioxide (arising from reduced fuel use of
2,578 million litres)
·
the use of ‘no-till’ and ‘reduced-till’
farming systems. These production systems have increased
significantly with the adoption of biotech HT crops because the HT
technology has improved growers ability to control competing
weeds, reducing the need to rely on soil cultivation and seed-bed
preparation as means to getting good levels of weed control. As a
result, tractor fuel use for tillage is reduced, soil quality is
enhanced and levels of soil erosion cut. In turn, more carbon
remains in the soil and this leads to lower GHG emissions. Based
on savings arising from the rapid adoption of no till/reduced
tillage farming systems in North and South America, an extra 3,570
million kg of soil carbon is estimated to have been sequestered in
2007 (equivalent to 13,103 million kg of carbon dioxide that has
not been released into the global atmosphere). Cumulatively the
amount of carbon sequestered is probably higher due to
year-on-year benefits to soil quality. However, due to the lack
of data on the crop area in continuous no-till systems it
is not possible to confidently estimate cumulative soil
sequestration gains.
Other impacts
Farm income impacts
GM
technology has had a very positive impact on farm income derived
from a combination of enhanced productivity and efficiency gains
(Figure 1). Between 1996 and 2007, farm incomes increased by
$44.1 billion. In 2007, the direct global farm income benefit was
$10.1 billion, equivalent to adding 4.4% to the value of global
production of the four main crops of soybeans, corn, cotton and
canola.
Figure 1: Global farm income benefits from
growing biotech crops 1996-2007 ($ millions)

Note: Others = virus resistant papaya and squash
Improving economic well being and food security
The extra farm income from growing biotech crops, when spent on
goods and services, has had a positive multiplying effect on
local, regional and national economies. In developing countries,
the additional income has enabled more farmers to consistently
meet their food subsistence needs and to improve the standards of
living of their households. In India and the Philippines, where
farmers use biotech IR cotton and corn respectively, their
household incomes have typically increased by over a third.
Biotech crops have also, since 1996, added important volumes to
global production of corn, cotton, canola and soybeans (Table
3).
Table
3: Additional crop production arising from positive
yield/production effects of biotech crops
|
|
1996-2007 additional production (million tonnes) |
2007 additional production (million tonnes) |
Per cent change in production 2007 on area planted to biotech
crops |
|
Soybeans |
67.80 |
14.46 |
29.8 |
|
Corn |
62.42 |
15.08 |
7.6 |
|
Cotton |
6.85 |
2.01 |
19.8 |
|
Canola |
4.44 |
0.54 |
8.5 |
This additional production arising from biotech crops (1996-2007)
has also contributed enough energy (in kcal terms) to feed about
402 million people for a year (additional production in 2007
contributed enough energy to feed 88 million, similar to the
annual requirement of the population of the Philippines: see
appendix for assumptions and calculations). Important
contributions to meeting the protein and fat requirements of
considerable numbers of people have also arisen.
Appendix
Food security assumptions and calculations
Human food requirements per day (recommended daily allowances)
|
|
Male |
Female |
Average |
|
Energy (kcal) |
2,900 |
2,200 |
2,550 |
|
Protein (grams) |
63 |
50 |
56.5 |
|
Fat (grams) |
100 |
78 |
89 |
Source: FAO
Crop key nutrition composition (per kg of edible material)
|
|
Energy (kcal) |
Protein (grams) |
Fat (grams) |
|
Corn |
3,650 |
94 |
47 |
|
Canola oil |
8,840 |
0 |
1,000 |
|
Canola meal |
3,540 |
380 |
38 |
|
Soybean oil |
8,840 |
0 |
1,000 |
|
Soybean meal |
3,370 |
485 |
10 |
|
Cottonseed oil |
8,840 |
0 |
1,000 |
|
Cottonseed meal |
3,450 |
410 |
21 |
Source: USDA - Nutritional database for standard reference
www.ars.usda.gov
Main constituents of oilseeds (source: Soya & Oilseed Bluebook)
·
Soybeans: 79.2 per cent meal, 17.8 per cent, oil, 3 per cent waste
·
Canola: 59 per cent meal, 38 per cent oil, 3 per cent waste
·
Cottonseed: 44.9 per cent meal, 16.2 per cent oil, 8.2 per cent
lintners, 26.7 per cent hulls, 4.1 per cent waste
Assumption on corn utilization – 99 per cent usable
Assumptions for uses of crops %
|
|
Food |
Feed |
Industrial (non food) |
|
Corn |
30% |
50% |
20% |
|
Soy oil |
98% |
0% |
2% |
|
Soy meal |
0% |
100% |
0% |
|
Canola oil |
60% |
0% |
40% |
|
Canola meal |
0% |
100% |
0% |
|
Cotton seed oil |
50% |
0% |
50% |
|
Cotton seed meal |
0% |
50% |
50% |
Source: derived from USDA
ERS
Feed Grains database
www.ers.usda.gov/data/feedgrains
Use of corn and oilseeds in meat production assumptions
The following simplifying assumptions were used:
·
As most corn and oilseeds at the global level are used in pig and
poultry rations, all usage is assumed to be in these two sectors;
·
Corn: 2.6 kg corn produces 1 kg of poultry meat at the consumer
level, 6.5 kg of corn produces 1 kg of pig meat at the consumer
level (source: USDA ERS –
www.ers.usda/amberwaves/february2008/features/cornprices.htm.
Readers should note these are conservative estimates;
·
Feed conversion ratios of 1.8 kg feed produces 1 kg of chicken
(live weight) and 3 kg of feed produces 1kg of pig (live weight) –
typical feed conversion rates in developed countries for poultry
are 1.7/1.75:1 and for pig meat are 2.5/2.8:1, hence the
conversion rates used are conservative;
·
Conversion of live weight to meat eaten by a consumer – for
poultry assumes 50 per cent of live weight converted to meat and
for pig meat assumes 35 per cent conversion;
·
corn constitutes 70 per cent of a typical poultry feed ration and
75 per cent of a typical pig ration;
·
meals (from soy, canola and cottonseed) are assumed to supply the
main part of the protein requirement in the feed ration with
incorporation rates of 25 per cent in poultry feed and 20 per cent
in pig feed;
·
Based on the above assumptions, it takes 0.93 kg of meal to
produce 1 kg of poultry meat (at the consumer level) and 1.73 kg
of meal to produce 1kg of pig meat (at the consumer level).
Of PG Economics Ltd, a UK-based independent consultancy. PG
Economics specializes in analyzing the impact of new
technology in agriculture. Their research into biotech crops
has been widely published in scientific journals including
Agbioforum and the International Journal of Biotechnology.
No-till
farming means that the ground is not ploughed at all, while
reduced tillage means that the ground is disturbed less than
it would be with traditional tillage systems. For example,
under a no-till farming system, soybean seeds are planted
through the organic material that is left over from a previous
crop such as corn, cotton or wheat