Agriculture

Data-driven decentralized breeding increases prediction accuracy in a challenging crop production environment

K. D. Sousa, J. V. Etten, et al.

This groundbreaking research by Kauê de Sousa and colleagues reveals a transformative approach to crop breeding, harnessing genomics, farmers' insights, and environmental data. The innovative 3D-breeding strategy tripled prediction accuracy in a durum wheat trial across over a thousand Ethiopian farms, paving the way for more resilient and locally adapted crops in difficult climates.