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A programme developed across five UK universities aims to equip graduate professionals with the skills, tools and capabilities to better understand and manage food-system complexity for food security, for the environment and for enterprise.
Advances such as machine learning may enable the full biochemical spectrum of food to be studied systematically. Uncovering the ‘dark matter’ of nutrition could open new avenues for a greater understanding of the composition of what we eat and how it relates to health and disease
A consistent global gridded multi-model assessment of wheat production under climate change points to large uncertainties arising from crop models, particularly in mid and high latitudes.
This Perspective builds on the concept of full-chain nitrogen use efficiency to propose policy interventions and criteria that target major actors in the agri-food chain.
Global gridded crop models simulate the impact of climate change on crop yield, but uncertainty is difficult to quantify, which reduces their reliability. Xiong et al. explored how parameterization strategies can reduce uncertainty and identified greater uncertainty in future wheat yields grown at mid-to-high latitudes.
