Genetic Constitution and Variability in Synthetic Populations of Intermediate Wheatgrass, an Out-crossing Perennial Grain Crop
Publication: G3: Genes, Genomes, Genetics
Long-time collaborators at the University of Minnesota released a paper evaluating trait differences among four synthetic populations of MN-Clearwater, the first commercially available variety of intermediate wheatgrass (the plant that produces Kernza® grain) released by the university in 2019.
Abstract
Intermediate wheatgrass (IWG) is a perennial grass that produces nutritious grain while offering substantial ecosystem services. Commercial varieties of this crop are mostly synthetic panmictic populations that are developed by intermating a few selected individuals. As development and generation advancement of these synthetic populations is a multi-year process, earlier synthetic generations are tested by the breeders and subsequent generations are released to the growers. A comparison of generations within IWG synthetic cultivars is currently lacking. In this study, we used simulation models and genomic prediction to analyze population differences and trends of genetic variance in four synthetic generations of MN-Clearwater, a commercial cultivar released by the University of Minnesota. Little to no differences were observed among the four generations for population genetic, genetic kinship, and genome-wide marker relationships measured via linkage disequilibrium. A reduction in genetic variance was observed when 7 parents were used to generate synthetic populations while using 20 led to the best possible outcome in determining population variance. Genomic prediction of plant height, free threshing ability, seed mass, and grain yield among the four synthetic generations showed a few significant differences among the generations yet the difference in values were negligible. Based on these observations, we make two major conclusions: 1) The earlier and latter synthetic generations of IWG are mostly similar to each other with minimal differences; and 2) Using 20 genotypes to create synthetic populations is recommended to sustain ample genetic variance and trait expression among all synthetic generations.