Daniel Ariza-Suárez

This study identifies four novel candidate genes for stem rust resistance in Italian ryegrass using nested association mapping and high-density genotyping.

This paper establishes the first NAM population in Italian ryegrass to identify candidate genes for seed shattering and related traits using ddRAD and whole genome sequencing.

The paper reports on a competition to predict maize yield using genetic and environmental data, showing that diverse modeling approaches can achieve good results.

ChromaX simulates genetic recombination and breeding value calculations using GPU acceleration, offering faster performance than existing tools.