Sateesh Kagale

This paper introduces LYM-1, a multi-crop yield prediction model for Canadian prairies using extensive yield, weather, and soil data, showing improved predictive performance and revealing agronomically relevant interactions.

The paper assembles genomes of seven Lens species and identifies fragile chromosomes linked to pericentric inversions and centromere diversity.

The paper generates high-contiguity long-read assemblies of Brassica nigra, enabling localization of active centromeres and insights into the ancestral Brassica genome.