Discovering peach QTLs with multiple progeny analysis

J.R.H. Mora, D. Micheletti, M.C.A.M. Bink, W.E. van de Weg, Daniele Bassi, Nelson Nazzicari, Andrea Caprera, Maria Teresa Dettori, Sabrina Micali, E. Dirlewanger, Patrick Lambert, Thierry Pascal, E. Banchi, M. Troggio, Laura Rossini, Ignazio Verde, Bénédicte Quilot-Turion, F. Laurens, Pere Arús, M.J. Aranzana

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review

4 Citations (Scopus)


Although many peach QTLs responsible for the variability of traits have been identified and published so far, the number of molecular markers currently used in breeding is still limited. One of the reasons is the large QTL intervals produced, in part, by the limited progeny size. Here we report a QTL mapping approach that enlarges the progeny size by analyzing jointly multiple progenies. Our analysis included 1467 individuals from eighteen Prunus progenies, 13 from intra-specific crosses and five inter-specific between peach and closely related species. The progenies were grown in five locations, with no duplication between orchards. Data from phenology, tree, flower and fruit traits, fruit quality and yield measured in different locations and years were subjected to different standardization methods and integrated in a single data file. The populations were genotyped with the 9K SNP Illumina array, which increased considerably the marker density compared to previous studies. The QTL analysis was conducted with FlexQTLTM software. Here we describe and discuss the preliminary QTLs obtained for some of the traits analyzed (maturity date, percentage of red skin color and soluble solid content). The identification of donors of favorable alleles will represent an important tool for marker-assisted breeding. This study has been conducted in the frame of the Fruit Breedomics European project.
Original languageEnglish
Title of host publication14th EUCARPIA Symposium on Fruit Breeding and Genetics
PublisherInternational Society for Horticultural Science
ISBN (Electronic)9789462611689
Publication statusPublished - 2017

Publication series

NameActa Horticulturae
ISSN (Print)0567-7572


  • FlexQTL
  • FruitBreedomics
  • Joint progeny analysis
  • Maturity date
  • Percentage of skin color


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