Risk assessment can lag behind development of biotech crops

Copyright © 2000 Nando Media
Copyright © 2000 Christian Science Monitor Service


By PETER N. SPOTTS, Christian Science Monitor

(September 5, 2000 1:52 p.m. EDT http://www.nandotimes.com) - In the
highly charged debate over biotech crops, supporters and critics can agree
on one thing: New strains are sold and planted before much is known about
their ecological effects - and too little is being done to find out about them.

Genetically engineered corn, soybeans and cotton already are staples on
millions of acres of farmland in North America. Yet studies of potential risks
often are conducted after a new strain of gene-spliced seeds has taken
root on farms - too late for the environment or the approval process.

As a result, some researchers say, the world's fields are becoming a
laboratory for the largest unplanned ecological experiment in agricultural
history.

"We look at genetically modified crops, and we know what the potential
hazards may be," says Alan McHughen, a plant geneticist at the University
of Saskatchewan in Saskatoon. "But we want to know what the hazards
really are before they go out" into the marketplace.

"The question of hazards is real, and it's not going to go away," he adds.

Two recent studies highlight potential ecological risks of genetically
engineered crops.

In the current issue of the journal Science, a pair of British scientists
suggest that starling populations could drop by as much as 90 percent if
farmers adopt a new strain of sugar beets tailored to tolerate herbicides.
Using a computer model, the scientists found that the starlings' plight
depended on how widely farmers adopted the sugar beets and how much
herbicide they applied to their fields - depriving the birds of the weed
seeds they eat.

Ironically, the threat to the birds didn't come from the plants themselves, but
from farming practices that could result from the plants' introduction.

Also, late last month, researchers from Iowa State University in Ames
published the results of experiments studying genetically modified corn and
butterflies. It suggests that monarch butterflies are threatened by pollen
from corn that's engineered to produce a toxin fatal to a pest called the
European corn borer.

The work, which appeared in the journal Oecologia, is the latest in a series
of yes-it-does, no-it-doesn't results from various scientists trying to
determine whether the pollen seriously threatens the butterflies.

On a scientific level, "there is nothing terrible about any of these studies,"
even when results appear contradictory, says Jane Rissler, a senior
scientist at the Union of Concerned Scientists. "No one study is really
definitive; you need an accumulation of evidence over time."

But researchers say they face a number of hurdles in trying to build that
body of knowledge.

First, the regulations governing tests can be counterproductive. Scientists
must isolate test fields of key crops such as corn and canola because they
produce copious amounts of pollen, which can be blown beyond the field
and inadvertently mix with other plant species. Yet offsite effects are among
the risks scientists want to quantify.

Moreover, test plots are vulnerable to attacks from activists who oppose
any use of genetically engineered crops.

On Aug. 25, a group called the Los Nios del Maiz claimed responsibility for
an attack that destroyed 1,500 to 2,000 corn plants and damaged a range
of other plants in four greenhouses at the University of California at San
Diego's biology field station. Only a small fraction of the plants the group
destroyed were the result of genetic engineering, according to Maarten
Chrispeels, director of the university's Center for Molecular Agriculture.

In other cases, it can be difficult to repeat experiments. "The amount of
transgenic material (genetic information that can be transferred) is limited,"
says John Obrycki, one of the Iowa State University scientists involved in
the most recent corn-pollen study.

Initially, it's possible to work with the seeds' developers to find out whether
a plant is likely to pass a trait or toxin to another species. But here in the
United States, regulators require only a one-year trial before a seed strain
is approved for sale. Once the seeds go on sale, Obrycki says, companies
often are less willing to give them to researchers wanting to conduct further
tests for potential risks. He argues that the approval process should require
two years of testing instead of one.

Finally, funding remains tight for risk studies. In the U.S., for example, the
Department of Agriculture spends about $1.7 million a year for risk
assessment.

"That's a tiny amount of money compared with what the biotech industry
spends to develop and market new products," says Rebecca Goldburg, a
senior scientist at Environmental Defense.

The result, critics say, is an approval process that lacks sufficient data to
assess the risk of genetically engineered crops.

That theme also emerges from a generally biotech-friendly report from the
National Academy of Sciences. In the April study, the academy noted that,
as the proportion of genetically engineered crops and the rate of their
introduction increases, more research is needed to assess risks to human
health and the environment.

Yet others say more money for risk studies is not the answer. They argue
that scientists should mine data already accumulating on biotech crops.
Such information can be incorporated into models that can help
researchers predict possible environmental outcomes from planting
genetically engineered crops.

Yet even data-mining proponents look longingly at a comprehensive
research project under way in Britain to address risks from biotech crops.
The government is spending 8 million ($11.7 million) over three years to
look at the effects of modified corn, canola, and sugar beets.

Says Frank Forcella, a plant geneticist with the University of Minnesota at
Morris: "That level of funding for field experiments is fantastic even by
Yankee standards."

------------------------------------------------------------------------
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