Flywheel Genomics framework integrates trait discovery and genetic gain within breeding populations

Researchers have posted a preprint to bioRxiv describing Flywheel Genomics, a conceptual and practical framework intended to close the gap between genomic mapping and realised breeding gains. In conventional programmes these two activities are often conducted separately, with trait-discovery populations and elite breeding populations maintained as distinct entities. Flywheel Genomics proposes integrating them by conducting recurrent intermating and selection within a single population that simultaneously accumulates genetic gain and generates mapping power.

Using empirical data from a sorghum breeding programme oriented towards smallholder farmers, the authors demonstrate that the approach can maintain genetic diversity, effective population size, and recombination frequency while also reducing confounding from plant height and maturity — common obstacles in sorghum QTL mapping. The paper argues that this dual-purpose design accelerates the translation of quantitative trait loci into improved varieties.

The work is primarily relevant to plant geneticists, crop breeders, and quantitative geneticists working on staple crops, particularly in lower-income agricultural contexts. It may also be of interest to educators teaching applied genomics or plant breeding strategy. The preprint has not yet been peer-reviewed.