With an innovative modeling approach, researchers set out to examine corn and soybean yields and optimal nitrogen (N) fertilizer rates. In their study, recently published in Frontiers in Plant Science, they uses a 16-year long-term dataset from central Iowa, USA, with a state-of-the-art simulator that modeled corn and soybean yields, improving predictions of optimal N fertilizer rates for corn. This has global relevance for food security and sustainable agricultural practices in light of future climate change scenarios.
Crop breeders in developing countries can now access free tools to accelerate the breeding of improved crop varieties, thanks to a collaboration between the GOBII project at the Boyce Thompson Institute (BTI) and Cornell University (USA), and the James Hutton Institute (JHI) in Scotland.
The collaboration works with breeding centers around the world to identify unmet needs and has developed tools to make the process of adding a trait into an existing, high-yield crop variety more efficient. Researchers at the International Maize and Wheat Improvement Center (CIMMYT) are using the tools to develop corn varieties with greater resistance to viruses.