shared services for life-science

Plant derived products are at the centre of grand challenges posed by increasing requirements for food, feed and bio-based raw materials. Integrating approaches across all scales from molecular to field applications are necessary to develop sustainable plant production with higher yield and at the same time using limited resources. While significant progress has been made in molecular and genetic approaches in recent years, the quantitative analysis of plant performance has become the major bottleneck. The challenge is to address multi-scale phenotyping for analysing genotype performance under diverse environmental conditions and quantify the diversity of traits contributing to performance, i.e. plant architecture, major functions, yield components and quality. Improvement of plant performance under changing climates requires the use of different categories of infrastructure combined with a coordinated infrastructure for storing and analysing data, and platforms for plant/crop modelling associated with phenotyping platforms.

Thus, plant phenotyping focuses on development and implementation of non-invasive technology, which can be used beyond plant sciences in disciplines such as image analysis, remote sensing or automation engineering. Additionally, plant phenotyping produces a number of data relevant for basic understanding in life sciences and practical breeding.