technical paper
Natural plant growth in the IPK PhenoSphere through dynamic environment simulation and FAIR handling of phenomic data
keywords:
high-throughput phenotyping
dynamic environment simulation
ipk phenosphere
Environmental context is important for plant growth. In the field, plants are exposed to weather, seasons and also challenges due to climate change, while much of the high-throughput phenotyping of plants takes place in greenhouses and climate chambers, which limits knowledge transfer. To close this gap, the PhenoSphere was developed to enable researchers to assess plant phenotypes reproducibly under simulated field-like environments. In a benchmark experiment, the PhenoSphere was challenged to reproduce a single season and to simulate the mean of three consecutive seasons. Plant growth under these conditions was compared to that established during four years of field trials and an experiment in a greenhouse. This revealed that the single season simulation was closest to the template environment and field trials in general. It was found to be superior to the conditions in the greenhouse and the averaged season. Recently, the PhenoSphere was upgraded with the PhenoCrane, an automated multi-device imaging panel on a crane system, which allows high-throughput phenotyping by RGB-, hyperspectral-, and chlorophyll fluorescence imaging. Adopting the FAIR data principles enables the integration of the PhenoSphere into already established research infrastructures. By combining field-like growth conditions and large-volume soil containers with the PhenoCrane, we are now able to evaluate the performance of genetic variants in current and future climate scenarios.