Research interest
- Plant breeding & genetics
- Genetic diversity
- Genotype-Environment Interactions (GEI)
- GWAS (genome-wide association studies)
- QTL mapping
- Genomic selection
- Marker-assisted selection
- Data analysis & modeling
- Multivariate statistics
- Machine learning for plant breeding
- Phenotypic and genomic predictions
- Digitalization in plant research
- Applied plant breeding & field trials
- Optimization of field test designs
- Sparse testing & prediction models
- Protein utilization efficiency & grain quality
- Resistance breeding against diseases and pests
- Adaptation to climate change
- Specific cultures & utilization concepts
- Breeding of wheat, pulses & special crops
- Hemp breeding for fiber use
- Biodiversity and conservation of plant genetic resources
- Alternative protein sources in plant production
- Technology & IT infrastructure
- Development of web-based tools for in-house data analysis
- R-based data analysis for plant breeding
- High-performance computing for genetic analyses
- Linux system administration in research
Curriculum Vitae
2023 - today | Academic Director and Head of the State Seed Breeding Institute | University of Hohenheim, Stuttgart, Germany |
2022 - 2023 | Academic Senior Councillor and Head of the State Seed Breeding Institute | University of Hohenheim, Stuttgart, Germany |
2021 - 2022 | Group leader for quantitative genetics and biostatistics | KWS Saat SE, Einbeck, Germany |
2020 - 2021 | Senior Research Lead Biostatistics & Data Science at KWS Saat SE | KWS Saat SE, Einbeck, Germany |
2019 - 2020 | Head of Research for Biostatistics and Data Science at KWS Saat SE | KWS Saat SE, Einbeck, Germany |
2016 - 2019 | Research assistant at the University of Hohenheim, State Seed Breeding Institute, Wheat Working Group | University of Hohenheim, Stuttgart, Germany |
2012 - 2016 | PhD student at the University of Hohenheim, Department of Crop Biodiversity and Breeding Informatics | University of Hohenheim, Stuttgart, Germany |
Teaching and Training activities/Research Projects
Teaching and training activities
Summer semester:
Winter semester:
- Methods of Scientific Working (3502-441)
- Population and Quantitative Genetics (3502-450)
- Breeding Methodology (3501-450)
Research projects
Current:
- bwHemp2.0 – Establishment of a hemp breeding program to strengthen the regional value chain
- PoHaBI – Evaluation of hemp fiber quality for breeding use
- SENSOJA – Sensor-assisted breeding of high-performance soybean varieties with increased tolerance to abiotic stress
- PhenoDiDur – Establishment of phenomic selection in spelt and durum
Completed:
- bwHemp: Validation of the cultivation potential of industrial hemp in Baden-Württenberg
- ZUCHTWERT – Breeding methodology for the utilization of heterosis in wheat
- BARSELECT: Genomic selection in barley breeding
Publications
- Braun, V., Zhu, X., Meyenberg, C., Hahn, V., Maurer, H., Würschum, T. and Thorwarth, P. (2025). Phenomic Prediction Can Be Improved by Optimization of NIRS Preprocessing. Plant Breed. https://doi.org/10.1111/pbr.13265
- Meyenberg, C., Braun, V., Longin, C.F.H. and Thorwrath, P. (2024). Feature engineering and parameter tuning: improving phenomic prediction ability in multi-environmental durum wheat breeding trials. Theor Appl Genet 137, 188 (2024). https://doi.org/10.1007/s00122-024-04695-w
- Thorwarth, P., Piepho, H.P., Zhao, Y., et al. (2018). Higher grain yield and higher grain protein deviation underline the potential of hybrid wheat for a sustainable agriculture. Plant Breed. 137: 326–337. https://doi.org/10.1111/pbr.12588
For further publications click below: