Wang, N.; Jiang, G.; Hou, Y.; Li, C.; Meng, Y.; Chen, P.; Zhang, Y.; Yang, T.; Wang, X.; Mei, X.; Pommier, T.; Banerjee, S.; Rillig, M.; Dini-Andreote, F.; Friman, V. P.; Xu, Y.; Jousset, A.; Shen, Q.; Wei, Z.

Abiotic and biotic soil properties are strong predictors of plant yield globally1-5, but they become unreliable over large areas when plant health is threatened by pathogen6-8. Here we present a novel approach to predict plant health based on spatiotemporal changes in soil chemical and biological properties. We first demonstrate that plant health and soil properties consistently respond to environmental change (organic fertilization) regardless of the soil type or geographical origin. Second, we experimentally show that trackable shifts in soil properties reliably explain soil suppressiveness to the Ralstonia solanacearum bacterial pathogen and that a scalable spatiotemporal model predicts plant health with 84% accuracy across multiple climatic zones and cropping systems. Our results suggest that this tight coupling between soil properties and plant health could facilitate the development of agricultural practices aimed at sustainably improving crop yields while safeguarding crop health.