With its simple diploid genome, ease of floral dip transformation, and the considerable genetic and genomic resources we have developed (large collection of genome-sequenced wild pennycress populations from around the world, sequence indexed mutant populations, draft genome, etc.), along with our team’s expertise and capabilities in advanced molecular, multi-omics, modeling, explainable- artificial intelligence, and high-throughput phenotyping methods and tools, we expect to make rapid and meaningful progress. Many of the outputs of the proposed work - from crop prediction & metabolic models to new omics datasets and field-validated adaptive loci - will be translatable to improving other oilseed bioenergy crops and food crops including camelina, carinata, rapeseed, and canola.