An Agronomic and Economic Assessment of Transgenic Canola

5. Summary and Conclusions

The objective of this study was to “qualify and quantify the agronomic and economic benefits associated with transgenic canola to better understand the impact it has had on agriculture in western Canada”. The study included an analysis of an extensive producer survey, thirteen case studies in various production areas of western Canada, and an integrated industry economic model. The outcome of these analyses and the determined impacts are included in the following summary discussion of agronomics, economics, and environmental and social aspects.

5.1 Agronomics

Generally, the perception among case study and survey participants was that transgenic canola yields higher than conventional varieties. Survey results showed that transgenic canola yielded approximately three bushels per acre (>10%) more than conventional canola in 2000. Case study participants reported a very similar yield advantage for transgenic canola. The yield advantage for transgenic systems resulted from the varieties and a slight increased use of fertilizer, but less summer fallow. Dockage was significantly lower in the transgenic system, largely attributed to more effective weed control. There was no statistically significant difference in grade between the two systems.

The literature search was not as conclusive as the survey and case study information with respect to yield. Several articles state that there was a significant yield drag with transgenic soybean varieties, and cite university studies, as well as U.S. and European trials as evidence of this. However, other articles reported the opposite, that higher yields are possible with transgenic crops and cited trials and farmer surveys which backed up their conclusions.

Interestingly, surveyed growers reported more efficient weed control as one of the key benefits and motivators to adopt transgenics, in addition to the cost benefits illustrated by the economic analysis derived from this research. Importantly, growers reported an improvement in weed control effectiveness and the ease of herbicide management to prevent weed resistance. Yield is impacted by several factors: earlier seeding, more effective and earlier weed control; the ability to utilize higher yielding B. napus varieties, decreased petal blast, better moisture availability, and earlier harvesting. The first three stages of this study (literature search, survey and case studies) reported that these factors have been the primary drivers in the switching to transgenic canola.

Transgenic canola growers reported having made fewer tillage passes over their fields than growers of conventional varieties. The majority of the transgenic sample in both the survey and the case studies indicated they practice minimum or zero till on their operations. Conventional growers are more likely to utilize summer fallow in their rotations; 36% of the conventional sample had summer fallow acres in 1999 as compared to only 18% of the transgenic sample. Transgenic growers found that their rotations were more flexible, and they were able to seed earlier in the spring, or in the fall, thus benefiting from soil moisture conservation. Importantly, 2.6 million acres in canola rotations in western Canada have been positively impacted by increased conservation tillage practices since the introduction of the technology. Canola acres overall have increased significantly since the introduction of transgenics five years ago.

Clearly, the majority of growers surveyed believed that there are significant advantages to transgenic canola. Participants in the survey and in the case studies stated that their primary reason for adopting transgenic canola were not economic, but agronomic. The transgenic system is simple, the weed control is early and effective, and the system fits well into a reduced or no-till operation.

5.2 Economic Analysis

Information from the secondary research review, extensive producer survey, and specific case studies culminated in the economic analysis. The economic modelling approach estimated changes in economic activity resulting from the production of transgenic and conventional canola varieties. These changes were expressed in terms of direct impact (combined impacts on revenues and operating costs related to changes in agronomic practices) and induced and indirect effects (the consequence of backward linkages to suppliers and subsequent spending within the community). Direct effects were assessed based on the value of canola production at the producer and aggregated level, based on estimated devoted acreage at the national level.

Multipliers were applied to changes in output and revenue streams to estimate the secondary, indirect, and induced effects. Estimates for these multipliers were derived from studies conducted on the biotechnology industry in the United States. In addition to the direct and indirect/induced effects resulting from the changes in production activity, the analysis assessed market responses.

5.2.1 Direct Effects

The enterprise budget modelling approach estimated farm revenue and costs of production for the producer and national level for a four crop year period (1997 through 2000). To statistically control for factors relevant to the model, indices for product price, yield, and select input prices for 1997, 1998, and 1999 were based on the 2000 benchmark year. A summary of the enterprise and aggregate budgets from transgenic and conventional systems is presented in Table 5.1.

The variance in gross margin between transgenic and conventional canola systems reflected the direct impact of transgenic canola adoption over the period under review. The aggregate economic impact was estimated based on the difference in gross margin per acre between transgenic and conventional canola varieties and adjusted for the number of acres devoted to transgenic production.

The direct economic impacts are estimated from the detailed model and the producer survey estimates.

Table 5.1 Producer Per Acre Estimates
 
1997
1998
1999
2000
 
Trans.
Conv.
Trans.
Conv.
Trans.
Conv.
Trans.
Conv.
Yield (bu)
27
24
29
26
33
30
29
27
Revenue ($)
244.40
219.02
232.13
208.60
202.28
181.77
154.65
138.97
Direct Costs ($)
115.68
106.94
114.15
105.35
111.06
102.51
116.03
106.91
Gross Margin ($)
128.72
112.69
117.98
103.25
91.22
79.26
38.62
32.06

Table 5.2 Direct Economic Impact
 
1997
1998
1999
2000
Gross Margin ($) (model)
26,730,475
69,245,330
79,821,330
64,728,779
Gross Margin ($) (producer estimate.)
17,570,000
43,433,000
46,801,000
36,047,000
*The added Gross Margin on the acres devoted to transgenic canola production.

5.2.2 Indirect and Induced Effects

Secondary impacts to the surrounding communities and businesses resulting from added investment, income, and employment generated by the production of canola were estimated with the application of multipliers. A range of multipliers (lower and upper limits) were applied to the net direct aggregate impact to estimate the total economic effect (inclusive of direct effects). The results from this analysis were as follows:

Economic Multipliers
  1997 1998 1999 2000
Net Economic Gain ($ m) 26.7 69.2 79.8 64.7
Lower Limits Economic Multiplier 1.25 1.25 1.25 1.25
Upper Limits Economic Multiplier 1.9 1.9 1.9 1.9
Total Economic Impact (low) ($ m) 33.4 96.6 99.8 80.9
Total Economic Impact (high) ($ m) 50.8 131.6 151.7 123.0

5.2.3 Summary of Economic Impacts

The table below summarizes the cumulative economic impacts of transgenic canola production systems on western Canadian farms. The direct impacts based on the detailed model calculation is estimated at $249.0 million in 2000 dollars. The farmers net income based estimate of direct impact is $144.0 million. The indirect impact in 2000 dollars is estimated to range between $58.0 and $215.0 million, using the lower and upper multiplier, respectively.

In summary, the total economic impact of transgenic canola production systems has been estimated to be up to $464.0 million over the period 1997 to 2000, inclusive of direct and indirect impacts.

Accumulative Economic Impacts of Transgenic Canola Production Systems
All values in Millions of Dollars
  Nominal Value Value in 2000$'s
Economic Impact Lower Limit Upper Limit Lower Limit Upper Limit
Direct 240.5 240.5 249.0 249.0
Indirect 60.2 215.5 57.7 214.9
Total 300.7 456.0 306.7 463.9
Producer Estimated Direct Impact 144 144 144 144

5.2.4 Market Responses

Based on an econometric analysis, no causal relationship is evident between canola production and price (1982 through 2000). Canola price series did demonstrate strong positive relationships with that of other commodity prices (in particular, soybeans). There was no evidence to support the hypothesis that adoption of transgenic varieties had a negative impact on canola prices or producer returns.

Although economic and agronomic benefits are significant, some uncertainty exists in the future with respect to the marketing of genetically modified crops such as canola. Markets to Europe have been closed to genetically modified canola from North America.

Considerable uncertainty exists as to what will be the degree and duration of consumer and market resistance to transgenic canola. In the meantime, there is a need to establish identification protocols within the grains and oilseeds handling systems.

5.3 Environmental And Social Aspects

A review of published articles and studies revealed that the most expressed concern was the inability to control the increase in number and the spread of herbicide tolerant plants. Associated with this concern was the spread of the herbicide tolerant trait to non-transgenic plants. The review also indicated that there is some question as to whether transgenic development has affected pesticide use in an environmentally positive way.

Surveyed producers indicated that herbicide use based on value of product per acre was 40% higher for conventional systems verses transgenic systems, but the number of herbicide applications was actually higher for transgenics (2.07 versus 1.78). The economic model estimated this reduction in chemical use to be 1,500 tonnes in 1997 and 6,000 tonnes in 2000. Case study results were less conclusive in regard to level of herbicide use with five transgenic producers reporting less use, four indicating more use, and the remainder no change. Conventional canola growers reported using a greater array of herbicides including pre-emergent types requiring incorporation. Herbicides, used on transgenic varieties, were perceived as less “harsh” than those used on conventional varieties.

According to the survey results, fertilizer application rates by transgenic producers, in terms of value of product per acre, were 6.5% higher than conventional producers. When adjustments were made for differences in summer fallow acres, no difference was seen in fertilizer use. This conclusion was substantiated by case study information, which indicated that the rate of fertilizer application was basically the same for both transgenic and conventional systems.

Energy consumption in terms of fuel used was found to be lower for transgenic production due to fewer field operations. Minimum till and direct seeding is a more available option with the herbicide regime used on transgenic varieties. As a result, fuel savings attributed to growing transgenics canola has grown from 9.5 million litres in 1997 to 31.2 million litres in 2000.

Social concerns expressed by case study participants centered around the lack of knowledge about transgenic production by those outside industry. Although most producers felt that there was minimal immediate effect, they were concerned about the public's acceptance of transgenic production and the future market for transgenic canola seed and oil. TUA's, along with seed/herbicide company integration, are concerns to producers. They did not appreciate the increasing control by supply companies and the limiting of options available to them, such as using their own seed, etc.

In summary, the transgenic canola systems had a positive economic and agronomic impact when compared to the conventional canola systems in western Canada for the four year period, 1997 to 2000.