Environmental genomic selection to leverage polygenic local adaptation in barley landraces.

Climate change is threatening agricultural production across the globe. Germplasm collections provide an opportunity to explore where variation exists with important crop species. Genome environment association (GEA) is a standard approach for investigating the genetic basis of adaptation to natural environments. While these analyses provide insight into local adaptation, they have not been widely adopted in breeding or conservation programs. This may be attributable to the difficulty in identifying the best individuals for transplantation/relocation in conservation efforts or identification of the best parents in breeding programs. To explore the potential utility in future breeding programs, we used the cereal crop - barley (Hordeum vulgare L.) due to its wide adaptability to different environments and agroecologies, ranging from marginal and low input fields to high-productive farms. Here, we conduct environmental genomic selection (EGS) on 753 landrace barley accessions using a mini-core of 31 landrace accessions and a de-novo core of 100 as the training populations. Since local adaptation to the environment is polygenic, a whole-genome approach is likely to be more accurate for selection. Here we show how an integrative approach coupling environmental genomic selection and species distribution modelling can help identify key parents for adaptation to specific environmental variables.