Improving our understanding of plant photosynthetic acclimation to environmental fluctuations is a crucial aspect of developing crop varieties adapted to future climatic conditions. Here we propose a theoretical model of photosynthetic protein turnover that explains photosynthetic acclimation as the accumulated effect of light and temperature on the synthesis and degradation of photosynthetic proteins in three functional pools: carboxylation, electron transport, and light harvesting. However, parameterizing this model across a wide panel of winter wheat varieties is challenging due to the number of genotype-specific parameters. Consequently, we propose hyperspectral phenotyping as a high-throughput approach for indirect assessment of parameters such as maximum carboxylation rate (Vcmax), maximum electron transport rate (Jmax), and chlorophyll concentration. In order to determine the individual effect of light and temperature fluctuations, we are conducting a series of experiments growing 60 winter wheat genotypes covering the recent German breeding history in a controlled environment with different combinations of varying and constant conditions. These experiments aim to characterize the three protein pool dynamics through periodic measurements of pigment content, chlorophyll fluorescence and gas exchange; and establish correlations between this ground truth and hyperspectral data, which will be instrumental in understanding how breeding has affected the photosynthetic acclimation.