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Integrated QTL detection for key breeding traits in multiple peach progenies

hal.structure.identifierCentre de Recerca en Agrigenòmica CSIC-IRTA-UAB-UB
dc.contributor.authorHERNÁNDEZ MORA, José R.
hal.structure.identifierResearch and Innovation Centre
dc.contributor.authorMICHELETTI, Diego
hal.structure.identifierTechnology & Services
dc.contributor.authorBINK, Marco
hal.structure.identifierPlant Breeding
dc.contributor.authorVAN DE WEG, Eric
hal.structure.identifierFruit CentreParc Cientific i Tecnològic Agroalimentari de Lleida (PCiTAL)
dc.contributor.authorCANTÍN, Celia
hal.structure.identifierResearch Centre for Fodder Crops and Dairy Productions
hal.structure.identifierPTP Science Park
dc.contributor.authorNAZZICARI, Nelson
hal.structure.identifierPTP Science Park
dc.contributor.authorCAPRERA, Andrea
hal.structure.identifierCentro di Ricerca per la Frutticoltura
dc.contributor.authorDETTORI, Maria Teresa
hal.structure.identifierCentro di Ricerca per la Frutticoltura
dc.contributor.authorMICALI, Sabrina
hal.structure.identifierResearch and Innovation Centre
dc.contributor.authorBANCHI, Elisa
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorCAMPOY-CORBALAN, José Antonio
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorDIRLEWANGER, Elisabeth
hal.structure.identifierGénétique et Amélioration des Fruits et Légumes [GAFL]
dc.contributor.authorLAMBERT, Patrick
hal.structure.identifierGénétique et Amélioration des Fruits et Légumes [GAFL]
dc.contributor.authorPASCAL, Thierry
hal.structure.identifierResearch and Innovation Centre
dc.contributor.authorTROGGIO, Michela
hal.structure.identifierDiSAA
dc.contributor.authorBASSI, Daniele
hal.structure.identifierDiSAA
hal.structure.identifierPTP Science Park
dc.contributor.authorROSSINI, Laura
hal.structure.identifierCentro di Ricerca per la Frutticoltura
dc.contributor.authorVERDE, Ignazio
hal.structure.identifierGénétique et Amélioration des Fruits et Légumes [GAFL]
dc.contributor.authorQUILOT-TURION, Bénédicte
hal.structure.identifierInstitut de Recherche en Horticulture et Semences [IRHS]
dc.contributor.authorLAURENS, Francois
hal.structure.identifierCentre de Recerca en Agrigenòmica CSIC-IRTA-UAB-UB
dc.contributor.authorARUS, Pere
hal.structure.identifierCentre de Recerca en Agrigenòmica CSIC-IRTA-UAB-UB
dc.contributor.authorARANZANA, Maria José
dc.date.issued2017
dc.identifier.issn1471-2164
dc.description.abstractEnBackground: Peach (Prunus persica (L.) Batsch) is a major temperate fruit crop with an intense breeding activity. Breeding is facilitated by knowledge of the inheritance of the key traits that are often of a quantitative nature. QTLs have traditionally been studied using the phenotype of a single progeny (usually a full-sib progeny) and the correlation with a set of markers covering its genome. This approach has allowed the identification of various genes and QTLs but is limited by the small numbers of individuals used and by the narrow transect of the variability analyzed. In this article we propose the use of a multi-progeny mapping strategy that used pedigree information and Bayesian approaches that supports a more precise and complete survey of the available genetic variability. Results: Seven key agronomic characters (data from 1 to 3 years) were analyzed in 18 progenies from crosses between occidental commercial genotypes and various exotic lines including accessions of other Prunus species. A total of 1467 plants from these progenies were genotyped with a 9 k SNP array. Forty-seven QTLs were identified, 22 coinciding with major genes and QTLs that have been consistently found in the same populations when studied individually and 25 were new. A substantial part of the QTLs observed (47%) would not have been detected in crosses between only commercial materials, showing the high value of exotic lines as a source of novel alleles for the commercial gene pool. Our strategy also provided estimations on the narrow sense heritability of each character, and the estimation of the QTL genotypes of each parent for the different QTLs and their breeding value. Conclusions: The integrated strategy used provides a broader and more accurate picture of the variability available for peach breeding with the identification of many new QTLs, information on the sources of the alleles of interest and the breeding values of the potential donors of such valuable alleles. These results are first-hand information for breeders and a step forward towards the implementation of DNA-informed strategies to facilitate selection of new cultivars with improved productivity and quality.
dc.language.isoen
dc.publisherBioMed Central
dc.rights.urihttp://creativecommons.org/licenses/by-sa/
dc.subjectdétection qtl
dc.subjectgestion des pêches
dc.subjectgénotype végétal
dc.subjectpépinière fruitière
dc.subjectpédigrée
dc.subjectprunus persica
dc.subjectphase reproductrice
dc.subjectvariabilité génétique
dc.subject.enPeach QTL
dc.subject.enPedigre-based Analysis
dc.subject.enPBA
dc.subject.enFlexQTLTM
dc.subject.enPeach breeding
dc.subject.enfishery management
dc.subject.engenetic variability
dc.title.enIntegrated QTL detection for key breeding traits in multiple peach progenies
dc.typeArticle de revue
dc.identifier.doi10.1186/s12864-017-3783-6
dc.subject.halSciences du Vivant [q-bio]/Biologie végétale
dc.description.sponsorshipEuropeIntegrated approach for increasing breeding efficiency in fruit tree crops
bordeaux.journalBMC Genomics
bordeaux.pagenp
bordeaux.volume18
bordeaux.issue1
bordeaux.peerReviewedoui
hal.identifierhal-01533858
hal.version1
hal.popularnon
hal.audienceNon spécifiée
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01533858v1
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