Patrick Thorwarth

Patrick Thorwarth is a Professor and Academic Director at the State Plant Breeding Institute of the University of Hohenheim, focusing on applied plant breeding and genetic research. His work integrates machine learning, multi-omics analysis, and traditional methods like GWAS and genomic selection to develop sustainable agricultural solutions for wheat, maize, and triticale. He leads projects on genetic resistance, nutrient efficiency, and climate adaptation.

• Education: PhD in Crop Biodiversity and Breeding Informatics (University of Hohenheim)
• Teaching: Leads courses in Plant Genetic Resources, Quantitative Genetics, and Breeding Methodology

His research spans Phenomic Prediction, Genotype-Environment Interactions, and Optimization of Field Trials, with a strong emphasis on digitalization and open-source platforms. Recent projects include bwHemp2.0 for industrial hemp breeding and SENSOJA for sensor-based soybean selection. He secures third-party funding from agencies like BMEL and DFG.

Key publications analyze NIRS data preprocessing for phenomic prediction, feature engineering in durum wheat trials, and genetic diversity in staple crops. His work demonstrates how digital tools can bridge the gap between theoretical research and practical agricultural challenges.