A novel high-throughput phenotyping technique designed to optimize photosynthetic acclimation strategies (PAS) and maize canopy architecture for enhanced biomass production.
This innovative solution offers a high-throughput phenotyping technique aimed at optimizing photosynthetic acclimation strategies (PAS) in maize, aligning them more effectively with canopy architecture. By employing this method, researchers and breeders can enhance photosynthetic efficiency and biomass production. The approach leverages newly developed phenotyping tools and computational models to explore and improve the coordination between PAS and plant architecture.
The core of this solution is a high-throughput phenotyping pipeline that enables:
This technology is currently at TRL 5, having been validated in relevant environments through greenhouse and field experiments. Ongoing efforts focus on integrating phenotypic data with computational models to refine and validate the approach further.
Humboldt-Universität zu Berlin is a comprehensive public research university with more than 37,000 students and more than 500 professors, combining a broad academic mission with a strong research profile. Its four-campus footprint includes Adlershof, placing researchers within Berlin’s science and technology ecosystem and near non-university institutes, companies, and startups. Through the Berlin University Alliance, HU collaborates with Freie Universität Berlin, Technische Universität Berlin, and Charité, expanding access to shared expertise and infrastructure. Research is supported by the German Research Foundation (DFG), the Federal Ministry of Education and Research (BMBF), and European programs. Humboldt Innovation supports partner matching, contract research, intellectual-property protection, licensing, and spin-off formation.