Sunday, April 20, 2008

Exposed: the great GM crops myth

Major new study shows that modified soya produces 10 per cent less
food than its conventional equivalent

By Geoffrey Lean, Environment Editor, independent.co.uk
Sunday, 20 April 2008

Genetic modification actually cuts the productivity of crops, an
authoritative new study shows, undermining repeated claims that a
switch to the controversial technology is needed to solve the growing
world food crisis.

The study – carried out over the past three years at the University of
Kansas in the US grain belt – has found that GM soya produces about 10
per cent less food than its conventional equivalent, contradicting
assertions by advocates of the technology that it increases yields.

Professor Barney Gordon, of the university's department of agronomy,
said he started the research – reported in the journal Better Crops –
because many farmers who had changed over to the GM crop had "noticed
that yields are not as high as expected even under optimal
conditions". He added: "People were asking the question 'how come I
don't get as high a yield as I used to?'"

He grew a Monsanto GM soybean and an almost identical conventional
variety in the same field. The modified crop produced only 70 bushels
of grain per acre, compared with 77 bushels from the non-GM one.

The GM crop – engineered to resist Monsanto's own weedkiller, Roundup
– recovered only when he added extra manganese, leading to suggestions
that the modification hindered the crop's take-up of the essential
element from the soil. Even with the addition it brought the GM soya's
yield to equal that of the conventional one, rather than surpassing
it.

The new study confirms earlier research at the University of Nebraska,
which found that another Monsanto GM soya produced 6 per cent less
than its closest conventional relative, and 11 per cent less than the
best non-GM soya available.

The Nebraska study suggested that two factors are at work. First, it
takes time to modify a plant and, while this is being done, better
conventional ones are being developed. This is acknowledged even by
the fervently pro-GM US Department of Agriculture, which has admitted
that the time lag could lead to a "decrease" in yields.

But the fact that GM crops did worse than their near-identical non-GM
counterparts suggest that a second factor is also at work, and that
the very process of modification depresses productivity. The new
Kansas study both confirms this and suggests how it is happening.

A similar situation seems to have happened with GM cotton in the US,
where the total US crop declined even as GM technology took over. (See
graphic above.)

Monsanto said yesterday that it was surprised by the extent of the
decline found by the Kansas study, but not by the fact that the yields
had dropped. It said that the soya had not been engineered to increase
yields, and that it was now developing one that would.

Critics doubt whether the company will achieve this, saying that it
requires more complex modification. And Lester Brown, president of the
Earth Policy Institute in Washington – and who was one of the first to
predict the current food crisis – said that the physiology of plants
was now reaching the limits of the productivity that could be
achieved.

A former champion crop grower himself, he drew the comparison with
human runners. Since Roger Bannister ran the first four-minute mile
more than 50 years ago, the best time has improved only modestly .
"Despite all the advances in training, no one contemplates a
three-minute mile."

Last week the biggest study of its kind ever conducted – the
International Assessment of Agricultural Science and Technology for
Development – concluded that GM was not the answer to world hunger.

Professor Bob Watson, the director of the study and chief scientist at
the Department for Environment, Food and Rural Affairs, when asked if
GM could solve world hunger, said: "The simple answer is no."

Original article:
http://www.independent.co.uk/environment/green-living/exposed-the-great-gm-crops-myth-812179.html?service=Print

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