China’s Growing Bets on GMOs

How will China get enough to eat? More than 1.3 billion people live in the world’s most populous nation, and another 100 million will join them by 2030. China is already a net food importer, and people are eating more meat, putting further demands on land used to grow food. Meanwhile, climate change could cut yields of crucial crops—rice, wheat, and corn—by 13 percent over the next 35 years. Mindful of these trends, China’s government spends more than any other on research into genetically modified crops. It’s searching for varieties with higher yields and resistance to pests, disease, drought, and heat. The results are showing up in the nation’s hundreds of plant biotech labs.


Right: This soybean plant has been genetically modified in an effort to produce more and higher-quality soybean oil.

Right: In a tissue culture room, researcher Bing Wang works on seedlings of Arabidopsis, a fast-growing weed commonly used as a model organism by plant biotech researchers.
Bottom: This petri dish is full of nine-day-old Arabidopsis seedlings grown at 28 °C, a relatively high temperature. The goal of the experiment is to see how heat alters the plant’s hormonal behavior and growth patterns. Such experiments add to basic knowledge that can guide future approaches to GMOs, including varieties that can better withstand the hotter heat waves expected in the future.


Left: Caixia Gao shows off a strain of rice that has had genes removed so that it grows far shorter than typical rice, which can be seen to the left and right. Gao is investigating whether such diminutive rice strains devote more energy toward producing seeds—the food—and less toward leaf material.
Keep Reading
Most Popular
Geoffrey Hinton tells us why he’s now scared of the tech he helped build
“I have suddenly switched my views on whether these things are going to be more intelligent than us.”
ChatGPT is going to change education, not destroy it
The narrative around cheating students doesn’t tell the whole story. Meet the teachers who think generative AI could actually make learning better.
Meet the people who use Notion to plan their whole lives
The workplace tool’s appeal extends far beyond organizing work projects. Many users find it’s just as useful for managing their free time.
Learning to code isn’t enough
Historically, learn-to-code efforts have provided opportunities for the few, but new efforts are aiming to be inclusive.
Stay connected
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.