Biology

Predicting plant growth response under fluctuating temperature by carbon balance modelling

C. Seydel, J. Biener, et al.

This groundbreaking research conducted by Charlotte Seydel, Julia Biener, Vladimir Brodsky, Svenja Eberlein, and Thomas Nägele reveals innovative methods using Fourier polynomials to simulate plant metabolism and predict growth responses to fluctuating temperatures. The findings demonstrate how optimizing sucrose and starch biosynthesis can enhance carbon assimilation under heat stress, marking a significant advancement in understanding plant-environment interactions.