Abstract:
This paper updates the assessment of the impact commercialized agricultural biotechnology is having on global agriculture, from some important environmental perspectives. It focuses on the impact of changes in pesticide use and greenhouse gas emissions arising from the use of biotech crops. The technology has reduced pesticide spraying by 443 million kg (-9.1%) and, as a result, decreased the environmental impact associated with herbicide and insecticide use on these crops [as measured by the indicator the Environmental Impact Quotient (EIQ)] by 17.9%. The technology has also significantly reduced the release of greenhouse gas emissions from this cropping area, which, in 2010, was equivalent to removing 8.6 million cars from the roads.
Received: January 9, 2012; Accepted: March 19, 2012
This study presents the findings of research into the global environmental impact of biotech crops since their commercial introduction in 1996. It updates the findings of earlier analysis presented by the authors in Agbio Forum 8:187–196,
Readers should note that some data presented in this paper are not directly comparable with data presented in previous papers because the current paper takes into account the availability of new data and analysis (including revisions to data for earlier years).
The environmental impact analysis undertaken focuses on the following:
The impacts associated with changes in the amount of insecticides and herbicides applied to the biotech crops relative to conventionally grown alternatives. Herbicides and insecticides are used to protect plants (crops) from pests and weeds and careful use of them can deliver important benefits for society, namely increasing the availability of good quality, reasonably priced foods and animal feed. However, insecticides and herbicides can, by their nature, be harmful to living organisms and therefore there are risks associated with their use. This means a balance has to be found relating to levels of use that contribute to delivering the important benefits referred to above while, at the same time, safeguarding human health, reducing contamination of water and reducing impacts on biodiversity. If biotech crops are better able to achieve this balance by delivering the same or higher levels of food production but with reduced risks to human health, of water contamination and to biodiversity, society benefits.
The contribution of biotech crops toward reducing global greenhouse gas (GHG) emissions. It is widely accepted by governments around the world that increases in atmospheric levels of greenhouse gases due to human activity are detrimental to the global environment. Therefore if the adoption of crop biotechnology contributes to a reduction in the level of greenhouse gas emissions from agriculture, this represents a positive development for the world.
The analysis is mostly based on existing farm level impact data of biotech crops. Primary data for impacts of commercial biotech cultivation on both pesticide usage and greenhouse gas emissions are, however, limited and are not available for every crop, in every year and for each country. Nevertheless, all identified, representative, previous research has been utilized. This has been supplemented by the authors’ own data collection and analysis. The analysis of pesticide usage also takes into consideration changes in the pattern of herbicide use in recent years that reflect measures taken by some farmers to address issues of weed resistance to the main herbicide (glyphosate) used with herbicide tolerant biotech crops.
Biotech traits have contributed to a significant reduction in the environmental impact associated with insecticide and herbicide use on the areas devoted to biotech crops (
| 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 and insecticide use on biotech crops |
Area biotech trait 2010 (million ha) |
| GM herbicide tolerant soybeans | -34.2 | -6,346.9 | -1.7 | -16.4 | 71.6 |
| GM herbicide tolerant maize | -169.9 | -4,199.2 | - 10.0 | -11.5 | 27.0 |
| GM herbicide tolerant canola | -14.4 | -478.6 | -18.2 | -27.6 | 6.7 |
| GM herbicide tolerant cotton | -12.1 | -347.6 | -5.2 | -8.1 | 4.9 |
| GM insect resistant maize | -42.9 | -1,571.5 | -41.9 | -37.7 | 34.1 |
| GM insect resistant cotton | -170.5 | -7,615.1 | -23.9 | -26.0 | 17.7 |
| GM herbicide tolerant sugar beet | +0.54 | -2.8 | +19.0 | -1.0 | 0.46 |
| Totals | -443.46 | -20,561.7 | -9.1 | -17.9 | 162.46 |
In absolute terms, the largest environmental gain has been associated with the adoption of GM insect resistant (IR) cotton (-23.9% reduction in the volume of active ingredient used and a 26% reduction in the EIQ indicator 1996–2010) and reflects the significant reduction in insecticide use that the technology has allowed, in what has traditionally been an intensive user of insecticides.
The volume of herbicides used in biotech soybean crops also decreased by 34 million kg (1996–2010), a 1.7% reduction, while the overall environmental impact associated with herbicide use on these crops decreased by a significantly larger 16.4%. This highlights the switch in herbicides used with most GM herbicide tolerant (HT) crops to active ingredients with a more environmentally benign profile than the ones generally used on conventional crops.
Important environmental gains have also arisen in the maize and canola sectors. In the maize sector, herbicide and insecticide use decreased by 212.8 million kg (1996–2010), and the associated environmental impact of pesticide use on this crop area decreased, due to a combination of reduced insecticide use (37.7%) and a switch to more environmentally benign herbicides (11.5%). In the canola sector, farmers reduced herbicide use by 14.4 million kg (a 18.2% reduction), and the associated environmental impact of herbicide use on this crop area fell by 27.6% (due to a switch to more environmentally benign herbicides).
In terms of the division of the environmental benefits associated with less insecticide and herbicide use for farmers in developing countries relative to farmers in developed countries,
| Change in field EIQ impact (in terms of million field EIQ/ha units): developed countries | Change in field EIQ impact (in terms of million field EIQ/ha units): developing countries | |
| GM HT soybeans | -4,657.1 | -1,689.8 |
| GM HT maize | -4,076.7 | -122.5 |
| GM HT cotton | -274.9 | -72.7 |
| GM HT canola | -478.6 | 0 |
| GM IR corn | -1,267.9 | -303.6 |
| GM IR cotton | -577.1 | -7,038.0 |
| GM HT sugar beet | -2.8 | 0 |
| Total | -11,335.1 | -9,226.6 |
It should, however, be noted that in some regions where GM HT crops have been widely grown, some farmers have relied too much on the use of single herbicides like glyphosate to manage weeds in GM HT crops and this has contributed to the development of weed resistance. Worldwide, there are 21 weed species that are currently resistant to glyphosate
Where this has occurred, farmers have had to adopt reactive weed management strategies incorporating the use of a mix of herbicides. In recent years, there has also been a growing consensus among weed scientists of a need for changes in the weed management programs in GM HT crops because of the evolution of these weed populations that are resistant to glyphosate. While the overall level of weed resistance in areas planted to GM HT crops is still relatively low (equal to between 5% and 10% of the total US cropping area annually planted to GM HT crops), growers of GM HT crops are increasingly being advised to be more proactive and include other herbicides in combination with glyphosate in their weed management systems even where instances of weed resistance to glyphosate have not been found. This is because proactive weed management programs generally require fewer herbicides and are more economical than reactive weed management programs. At the macro level, the adoption of both reactive and proactive weed management programs in GM HT crops has already begun to influence the mix, total amount and overall environmental profile of herbicides applied to GM HT soybeans, cotton, maize and canola and this is reflected in the data presented in this paper. For example, in the US GM HT soybean crop in 2010, just over a third of the crop received an additional herbicide treatment of one of the following active ingredients
The scope for biotech crops contributing to lower levels of GHG emissions comes 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 2010, this amounted to a saving of about 1,715 million kg of carbon dioxide, arising from reduced fuel use of 642.2 million liters (Crop/trait/country Permanent fuel saving (million liters) Potential additional carbon dioxide saving from fuel saving (million kg) Potential additional carbon dioxide saving from soil carbon sequestration (million kg) USA: GM HT soybeans 92.1 246 4,810 Argentina: GM HT soybeans 250.9 670 6,762 Brazil: GM HT soybeans 136.3 364 3,680 Bolivia, Paraguay, Uruguay: GM HT soybeans 68.5 183 1,850 Canada: GM HT canola 41.2 110 532 Global: GM IR cotton 24.0 64 0 Brazil: GM IR corn 29.2 78 0 Total 642.2 1,715 17,634
Over the period 1996 to 2010, the cumulative permanent reduction in fuel use has been about 12,232 million kg of carbon dioxide, arising from reduced fuel use of 4,582 million liters (
| Crop/trait/country | Permanent fuel saving (million liters) | Potential additional carbon dioxide saving from fuel saving (million kg) | Potential additional carbon dioxide saving from soil carbon sequestration (million kg) |
| USA: GM HT soybeans | 798 | 2,130 | 42,577 |
| Argentina: GM HT soybeans | 1,841 | 4,916 | 49,652 |
| Brazil: GM HT soybeans | 952 | 2,542 | 25,674 |
| Bolivia, Paraguay, Uruguay: GM HT soybeans | 438 | 1,170 | 11,821 |
| Canada: GM HT canola | 302 | 806 | 3,915 |
| Global: GM IR cotton | 197 | 525 | 0 |
| Brazil: GM IR corn | 54 | 143 | 0 |
| Total | 4,582 | 12,232 | 133,639 |
The use of “no-till” and “reduced-till” farming systems. These production systems have increased significantly with the adoption of GM HT crops because the GM 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 4,805 million kg of soil carbon is estimated to have been sequestered in 2010 (equivalent to 17,634 million tonnes of carbon dioxide that has not been released into the global atmosphere:
The additional amount of soil carbon sequestered since 1996 has been equivalent to 133,639 million tonnes of carbon dioxide that has not been released into the global atmosphere.
Placing these carbon sequestration benefits for 2010 within the context of the carbon emissions from cars,
| Crop/trait/country | Permanent carbon dioxide savings arising from reduced fuel use (million kg of carbon dioxide) |
Permanent fuel savings: as average family car equivalents removed from the road for a year (‘000s) |
Potential additional soil carbon sequestration savings (million kg of carbon dioxide) | Soil carbon sequestration savings: as average family car equivalents removed from the road for a year (‘000s) |
| USA: GM HT soybeans | 246 | 109 | 4,810 | 2,138 |
| Argentina: GM HT soybeans | 670 | 298 | 6,762 | 3,005 |
| Brazil: GM HT soybeans | 364 | 162 | 3,680 | 1,636 |
| Bolivia, Paraguay, Uruguay: GM HT soybeans | 183 | 81 | 1,850 | 822 |
| Canada: GM HT canola | 110 | 49 | 532 | 237 |
| Global: GM IR cotton | 64 | 29 | 0 | 0 |
| Brazil: GM IR corn | 78 | 35 | 0 | 0 |
| Total | 1,715 | 763 | 17,634 | 7,838 |
Notes: Assumption: an average family car produces 150 g of carbon dioxide per km. A car does an average of 15,000 km/year and therefore produces 2,250 kg of carbon dioxide/year.
In 2010, the permanent carbon dioxide savings from reduced fuel use were the equivalent of removing 0.76 million cars from the road;
The additional probable soil carbon sequestration gains in 2010 were equivalent to removing 7.84 million cars from the roads;
In total, in 2010, the combined biotech crop-related carbon dioxide emission savings from reduced fuel use and additional soil carbon sequestration were equal to the removal from the roads of 8.6 million cars, equivalent to 27.7% of all registered cars in the UK;
It is not possible to confidently estimate the probable soil carbon sequestration gains since 1996 (see above). If the entire biotech crop in reduced or no tillage
Assessment of the impact of biotech crops on insecticide and herbicide use requires comparisons of the respective weed and pest control measures used on biotech vs. the “conventional alternative” form of production. This presents a number of challenges relating to availability and representativeness. Comparison data ideally derives from farm level surveys which collect usage data on the different forms of production. A search of literature on biotech crop impact on insecticide or herbicide use at the trait, local, regional or national level shows that the number of studies exploring these issues is limited
Unfortunately, even where national survey data are available on usage, the data on conventional crop usage may fail to be reasonably representative of what herbicides and insecticides might be expected to be used in the absence of biotechnology. When biotech traits dominate total production (e.g., for soybeans, corn, cotton and canola in the US since the early 2000s), the conventional cropping data set used to identify pesticide use relates to a relatively small share of total crop area and therefore is likely to under estimate what usage would probably be in the absence of biotechnology. The reasons why this conventional cropping data set is unrepresentative of the levels of pesticide use that might reasonably be expected to be used in the absence of biotechnology include:
While the levels of pest and weed problems/damage vary by year, region and within region, farmers who continue to farm conventionally are often those with relatively low levels of pest or weed problems, and hence see little, if any, economic benefit from using the biotech traits targeted at these agronomic problems. Therefore their pesticide usage levels tend to be below the levels that would reasonably be expected to control weeds and pests on an average farm. A good example to illustrate this relates to the US cotton crop where, for example, in 2010, half of the conventional cotton crop was located in Texas. Here levels of bollworm pests (the main target of biotech insect resistant cotton) tend to be consistently low and cotton farming systems are traditionally of an extensive, low input nature (e.g., the average cotton yield in Texas was 58% of the US average in 2010);
Some of the farms continuing to use conventional (non-biotech) seed traditionally use extensive, low intensive production methods (including organic) in which limited (below average) use of pesticides is a feature (see the Texas cotton example above). The usage pattern of this sub-set of growers is therefore likely to understate usage for the majority of farmers if all crops were conventional;
The widespread adoption of GM insect resistant technology has resulted in “area-wide” suppression of target pests such as the European corn borer in maize crops. As a result, conventional farmers (e.g., of maize in the US) have benefited from this lower level of pest infestation and the associated reduced need to conduct insecticide treatments;
Many of the farmers using biotech traits have experienced improvements in pest and weed control from using this technology relative to the conventional control methods previously used. If these farmers were now to switch back to using conventional techniques, it is possible that many might wish to maintain the levels of pest/weed control delivered with use of the biotech traits and therefore might use higher levels of pesticide than they did in the pre biotech crop days. This argument can, however, be countered by the constraining influence on farm level pesticide usage that comes from the cost of pesticides and their application. Ultimately, the decision to potentially use more pesticide or not would be made at the farm level according to individual assessment of the potential benefits (from higher yields) compared with the cost of additional pesticide use.
To overcome these problems in the analysis of pesticide use changes arising from the adoption of biotech crops (i.e., where biotech traits account for the majority of total plantings), presented in this paper, recorded usage levels for the biotech crops are used (based on survey data), with the conventional alternative (counterfactual situation) identified based on opinion from extension advisors and industry specialists as to what farmers might reasonably be expected to use in terms of crop protection practices and usage levels of pesticide.
The most common way in which changes in pesticide use with biotech crops has been presented in the literature has been in terms of the volume (quantity) of pesticide applied. While comparisons of total pesticide volume used in biotech and conventional crop production systems are a useful indicator of associated environmental impacts, amount of active ingredient used is an imperfect measure because it does not account for differences in the specific pest control programs used in biotech and conventional cropping systems. For example, different specific products used in biotech vs conventional crop systems, differences in the rate of pesticides used for efficacy and differences in the environmental characteristics (mobility, persistence, etc.,) are masked in general comparisons of total pesticide volumes used.
In this paper, the pesticide related environmental impact changes associated with biotech crop adoption are examined in terms of changes in the volume (amount) of active ingredient applied but supplemented by the use of an alternative indicator, developed at Cornell University in the 1990s, the environmental impact quotient (EIQ). The EIQ indicator, developed by Kovach et al. and updated annually, effectively integrates the various environmental impacts of individual pesticides into a single “field value per hectare.” The EIQ value is multiplied by the amount of pesticide active ingredient (ai) used per hectare to produce a field EIQ value. For example, the EIQ rating for glyphosate is 15.33. By using this rating multiplied by the amount of glyphosate used per hectare (e.g., a hypothetical example of 1.1 kg applied per ha), the field EIQ value for glyphosate would be equivalent to 16.86/ha.
The EIQ indicator used is therefore a comparison of the field EIQ/ha for conventional vs. biotech crop production systems, with the total environmental impact or load of each system, a direct function of respective field EIQ/ha values and the area planted to each type of production (biotech vs. conventional). The use of environmental indicators is commonly used by researchers and the EIQ indicator has been, for example, cited by Brimner et al. in a study comparing the environmental impacts of biotech and conventional canola and by Kleiter.
The EIQ indicator provides an improved assessment of the impact of biotech crops on the environment when compared with examining only changes in volume of active ingredient applied, because it draws on some of the key toxicity and environmental exposure data related to individual products, as applicable to impacts on farm workers, consumers and ecology. Readers should, however, note that the EIQ is an indicator only and does not take into account all environmental issues and impacts. It is therefore not a comprehensive indicator. Detailed examples of the relevant amounts of active ingredient used and their associated field EIQ values for biotech vs conventional crops for the year 2010 are presented in
The methodology used to assess impact on greenhouse gas emissions combines reviews of literature relating to changes in fuel and tillage systems and carbon emissions coupled with evidence from the development of relevant biotech crops and their impact on both fuel use and tillage systems. Reductions in the level of GHG emissions associated with the adoption of biotech crops are acknowledged in a wide body of literature.
In addition, there has been a shift from conventional tillage to reduced/no till. This has had a marked impact on tractor fuel consumption due to energy intensive cultivation methods being replaced with no/reduced tillage and herbicide-based weed control systems. The GM HT crop where this is most evident is GM HT soybeans. Here adoption of the technology has made an important contribution to facilitating the adoption of reduced or no tillage farming.
Substantial growth in NT production systems have also occurred in Canada, where the NT canola area increased from 0.8 million ha to 2.6 million ha (equal to about half of the total canola area) between 1996 and 2005 (95% of the NT canola area is planted with GM HT cultivars). Similarly the area planted to NT in the US cotton crop increased from 0.2 million ha to 1 million ha over the same period (of which 86% is planted to GM HT cultivars) and has remained at this share of the total crop since 2007.
The fuel savings resulting from changes in tillage systems used in this paper are drawn from a review of literature including Jasa,
Second, the use of “no-till” and “reduced-till” farming systems that utilize less ploughing increase the amount of organic carbon in the form of crop residue that is stored or sequestered in the soil. This carbon sequestration reduces carbon dioxide emissions to the environment. A number of researchers have examined the relationship between carbon sequestration and different tillage systems.
In sum, drawing on the various discussed literature, the analysis presented below uses the following conservative assumptions
North America: soil carbon sequestered by tillage system for corn and soybeans in continuous rotation; NT systems store 375 kg of carbon/ha/year, RT systems store 175 kg carbon/ha/year; and CT systems release 25 kg carbon/ha/year;
South America: soil carbon retained is 175 kg of carbon/ha/yr for NT/RT (soybean) cropping systems but CT systems release 25 kg carbon/ha/year
One kg of carbon sequestered is equivalent to 3.67 kg of carbon dioxide;
Where the use of biotech crops has resulted in a reduction in the number of spray passes or the use of less intensive cultivation practices (i.e., less ploughing) this has provided (and continues to provide) a permanent reduction in carbon dioxide emissions.
These assumptions were applied to the reduced insecticide spray applications data on GM IR crops, derived from separate analysis and reviews of impact literature by the authors,
During the past 15 y, the adoption of crop biotechnology by many farmers (15.4 million in 2010) has delivered important positive environmental contributions through its facilitation and evolution of environmentally friendly farming practices. More specifically:
The environmental gains from the biotech IR traits have mostly been delivered directly by the technology through decreased use of insecticides;
The gains from biotech HT traits have come from a combination of effects. In terms of the environmental impact associated with herbicide use, important changes in the profile of herbicides used have occurred (in favor of more environmentally benign products). Second, biotech HT technology has facilitated changes in farming systems. Thus, biotech HT technology (especially in soybeans) has played an important role in enabling farmers to capitalise on the availability of a low cost, broad-spectrum herbicide (glyphosate) and in turn, facilitated the move away from conventional to low/no-tillage production systems in both North and South America. This change in production system has delivered important environmental benefits, notably reduced levels of GHG emissions (from reduced tractor fuel use and additional soil carbon sequestration).
In relation to biotech HT crops, however, over reliance on the use of glyphosate by some farmers, in some regions, has contributed to the development of weed resistance. As a result, farmers are increasingly adopting a mix of reactive and proactive weed management strategies incorporating a mix of herbicides. Despite this, the overall environmental gains arising from the use of biotech crops have been, and continue to be, substantial.
The impacts identified in this paper are, however, probably conservative reflecting the limited availability of relevant data and conservative assumptions used. In addition, the analysis examines only a limited number of environmental indicators. As such, subsequent research of the environmental impact might usefully include additional environmental indicators such as impact on soil erosion.
No potential conflicts of interest were disclosed.

|
Jump to Section
|