Phenotypic characterization of the IPK maize Genebank collection

 The comprehensive phenotypic and genotypic characterization of the complete [link]IPK Genebank maize collection comprising about 1300 accessions (enriched for Eastern European material) was started in 2015. It aims at the identification of accessions with interesting and agronomically relevant features and the elucidation of the molecular-genetic basis of trait expression.

 (in collaboration with RGs HET, NAM, AAN)


Further projects:


- analysis of the phenotypic response to changing temperature regimes in barley and wheat using automated phenotyping and systems biology approaches (in collaboration with RGs HET and BA and the [link]QuintLab, MLU Halle)


- analysis of hitherto uncharacterized Arabidopsis T-DNA k.o. lines under changing light and temperature conditions for the identification of loci with specific functions in acclimation capacity (in collaboration with RG HET and University Bielefeld)


- detailed integrated (phenotypic and transcriptomic) characterization of Arabidopsis drought response and recovery (in collaboration with Univeristy Bielefeld)


- Identification and characterisation of candidate genes associated with growth dynamics in maize with particular emphasis on genes influencing expression and metabolite patterns and the corresponding networks (in collaboration with RG HET)


- Analysis of sequence variations in nuclear and plastidic Arabidopsis loci determining photosystem II efficiency (in collaboration with RG HET)


- Investigation and comparison of growth and phenotypic characteristics of maize reference lines grown under simulated field-like conditions (in collaboration with RG HET)


Continuation of the implementation of the Whole-Plant-Phenotyping Infrastructure @IPK:


(in co-coordination with RG HET) 


- implementation of routine procedures in existing (upgraded, conveyor-beld-based systems) or developing facilities (Plant Cultivation Hall)


- management of use and access procedures with internal and external collaboration partners (EPPN2020)


- implementation and extension of standardized R-based analysis pipelines for the integrated and multivariate analysis of phenotypic datasets and its integration with complementary -omics


 - implementation of infrastructures for the publication and integration of research data (especially with respect to plant genetic resources) in the context of FAIR data management (FAIR-PGR, collaboration with RG BIT and DOK)