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.