Major research efforts in peach are dedicated to the discovery of genomic variants causing phenotypic effects in complex fruit traits such as: maturity date (MD), fruit size (FW), sugar (SSC) and acid content (TA), flesh texture (slow softening, SSf) and resistance to brown rot by Monilinia spp. (BRr). Five segregating progenies showing phenotypic variation for at least one of these traits are available in our experimental fields. For SSC and TA, an already validated approach based on Near-InfraRed spectroscopy (NIR), is being applied to phenotype some segregating progenies. For SSf and BRr instead, trait characterization has been performed, resulting in the identification of co-factor traits and definition of standardized phenotyping tools, which are currently applied in the characterization of segregating material (in the context of FruitBreedomics EU project). High-density linkage maps have been constructed with genotypic data obtained from IPSC Illumina 9K SNP chip (Italian Drupomics and FruitBreedomics frameworks) and Genotyping-by-Sequencing (GBS). Additionally, parents of these progenies have been re-sequenced (30-40x) and genetic variants present along their genomes have been identified. Multiple-QTL models (MQM) coupled with the use of co-factor traits is leading to the discovery of significant QTLs. Genomic variants are explored within QTL intervals on the genomes of progeny parents, in order to identify possible mutations causing phenotypic differences, and develop markers for marker-assisted selection approaches
