Martin Bohn

This study evaluates genomic prediction models for maize hybrids using GBLUP-based multi-kernel models to estimate genetic variance components and predict hybrid performance.

This study examines competitive dynamics in maize varieties and finds limited competition effects, no yield penalty in mixtures, and increased yield stability.

This paper improves simulation accuracy for digital breeding by integrating GWAS-derived genetic architecture into trait simulations, achieving high concordance with empirical data.