Nathan Fumia

This paper develops a framework combining genomic prediction and a large language model to select climate-resilient pepper cultivars from germplasm collections.

The paper assesses the sufficiency of genetic diversity in sorghum germplasm repositories for climate adaptation by evaluating geographic distribution and genomic resilience scores.