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Fruit size QTL identification and the prediction of parental QTL genotypes and breeding values in multiple pedigreed populations of sweet cherry

hal.structure.identifierMichigan State University [East Lansing]
hal.structure.identifierDepartment of Horticulture
dc.contributor.authorROSYARA, Umesh R.
hal.structure.identifierWageningen University and Research Centre [WUR]
dc.contributor.authorBINK, Marco C. A. M.
hal.structure.identifierWageningen University and Research Centre [WUR]
dc.contributor.authorVAN DE WEG, Eric
hal.structure.identifierMichigan State University [East Lansing]
hal.structure.identifierKansas State University
dc.contributor.authorZHANG, Guorong
hal.structure.identifierDepartment of Horticulture
dc.contributor.authorSEBOLT, Audrey
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorDIRLEWANGER, Elisabeth
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorQUERO-GARCIA, José
hal.structure.identifierJulius Kühn-Institut [JKI]
dc.contributor.authorSCHUSTER, Mirko
hal.structure.identifierDepartment of Horticulture
dc.contributor.authorIEZZONI, Amy F.
dc.date.issued2013
dc.identifier.issn1380-3743
dc.description.abstractEnLarge fruit size is a critical trait for any new sweet cherry (Prunus avium L.) cultivar, as it is directly related to grower profitability. Therefore, determining the genetic control of fruit size in relevant breeding germplasm is a high priority. The objectives of this study were (1) to determine the number and positions of quantitative trait loci (QTL) for sweet cherry fruit size utilizing data simultaneously from multiple families and their pedigreed ancestors, and (2) to estimate fruit size QTL genotype probabilities and genomic breeding values for the plant materials. The sweet cherry material used was a five-generation pedigree consisting of 23 founders and parents and 424 progeny individuals from four full-sib families, which were phenotyped for fruit size and genotyped with 78 RosCOS single nucleotide polymorphism and 86 simple sequence repeat markers. These data were analyzed by a Bayesian approach implemented in FlexQTL™ software. Six QTL were identified: three on linkage group (G) 2 with one each on groups 1, 3, and 6. Of these QTL, the second G2 QTL and the G6 QTL were previously discovered while other QTL were novel. The predicted QTL genotypes show that some QTL were segregating in all families while other QTL were segregating in a subset of the families. The progeny varied for breeding value, with some progeny having higher breeding values than their parents. The results illustrate the use of multiple pedigree-linked families for integrated QTL mapping in an outbred crop to discover novel QTL and predict QTL genotypes and breeding values.
dc.language.isoen
dc.publisherSpringer Verlag
dc.subject.enpedigree-based QTL mapping
dc.subject.enbreeding value
dc.subject.enFlexQTL (TM)
dc.subject.enfruit size
dc.title.enFruit size QTL identification and the prediction of parental QTL genotypes and breeding values in multiple pedigreed populations of sweet cherry
dc.typeArticle de revue
dc.identifier.doi10.1007/s11032-013-9916-y
dc.subject.halSciences du Vivant [q-bio]
dc.subject.halSciences du Vivant [q-bio]/Biologie végétale
bordeaux.journalMolecular Breeding
bordeaux.page875-887
bordeaux.volume32
bordeaux.issue4
bordeaux.peerReviewedoui
hal.identifierhal-02643897
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02643897v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Molecular%20Breeding&rft.date=2013&rft.volume=32&rft.issue=4&rft.spage=875-887&rft.epage=875-887&rft.eissn=1380-3743&rft.issn=1380-3743&rft.au=ROSYARA,%20Umesh%20R.&BINK,%20Marco%20C.%20A.%20M.&VAN%20DE%20WEG,%20Eric&ZHANG,%20Guorong&SEBOLT,%20Audrey&rft.genre=article


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