Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 448969
Title Fruit size QTL indentification and the prediction of parental QTL genotypes and breeding values in multiple pedigreed populations of sweet cherry
Author(s) Rosyara, U.R.; Bink, M.C.A.M.; Weg, W.E. van de; Zhang, G.; Sebolt, A.; Dirlewanger, E.; Quero-Garcia, J.; Schuster, M.; Iezzoni, Amy
Source Molecular Breeding 32 (2013)4. - ISSN 1380-3743 - p. 875 - 887.
Department(s) PE&RC
Plant Breeding
PBR Biodiversity and genetic variation
Publication type Refereed Article in a scientific journal
Publication year 2013
Keyword(s) quantitative trait loci - plant-populations - bayesian-analysis - quality - cross - map - markers - genes - peach - set
Abstract Large 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.
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