Title: Models for autotetraploid genomics in the context of GWAS and GS
Authors: Patricio Munoz Del Valle - University of Florida (United States) [presenting]
Abstract: Autopolyploidy occurs in many important crops (e.g. alfalfa, blueberry, potato). Autopolyploidy can significantly reduce the speed at which plant breeding can concentrate favorable alleles. This is because polyploid genomes and specifically autopolyploid genomes are more complex than diploids. Polysomic inheritance, higher allele dosage, double reduction and higher probability of non-additive effects are some of these complexities. Nevertheless, with the advances in technology and more affordable prices, more autopolyploid breeding programs are starting to genotype their populations to either find genes associated to important traits or for applying genomic selection (GS). However, whether to account for dosage or non-additive effects is still a matter of discussion in autopolyploids. We will illustrate, using a population of blueberry as a model, the effect that dosage can have in the capacity to discover quantitative trait loci in a genome-wide association analysis (GWAS) as well as the effect on the prediction ability on genomic selection models. Also, the effect of accounting for dominance in the context GS and the current challenges to apply genomics in polyploid breeding will be discussed.