Can We Avert the Looming Food Crisis of Climate Change?

In Chaos, researchers share a mathematical model created to capture the nonlinear relationships between CO2, temperature, human population, and crop growth. Increasing evidence of chaotic and complex dynamics within ecological systems led them to use both autonomous and nonautonomous models to gain a deeper understanding of seasonal variations and potential mitigation strategies, such as developing temperature-tolerant crops.

Unlocking crop yield potential: new modeling approach for sustainable agriculture

A pioneering study introduces a functional data analysis (FDA) methodology to model the relationship between environmental factors and crop yields in year-round agriculture. Designed for crops like strawberries and tomatoes, this model offers a predictive framework that enhances agricultural management, optimizing resource use and promoting sustainability amidst climate change and increasing global food demands.

Tomato timekeeper: NF-YA3b gene’s role in flowering time revealed

Controlling the timing of flowering in crops is crucial for optimizing yields and adapting to climate changes. A recent study has identified a specific gene in tomatoes that regulates this critical phase, providing a significant step forward in the ability to fine-tune agricultural practices and enhance productivity.