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Title

Identification of QTL for agronomic traits of importance for olive breeding

AuthorsAtienza, Sergio G. ; Rosa, Raúl de la; León, Lorenzo; Martín, Antonio ; Belaj, Angjelina
KeywordsTrunk diameter
QTL
Olive
Breeding
Fruit weight
Oil content
Issue Date20-Mar-2014
PublisherKluwer Academic Publishers
CitationMolecular Breeding 34(2): 725- 737 (2014)
AbstractDevelopment of methodologies for early selection is one of the most important goals of olive breeding programs at present. In this context, the identification of molecular markers associated with beneficial alleles could allow the development of marker-assisted selection (MAS) strategies in olive breeding programs. Fruit-related and plant vigor traits, which are of key importance for olive selection and breeding, were analyzed during two seasons in a progeny derived from the cross ‘Picual’ × ‘Arbequina.’ Quantitative trait loci (QTL) analyses were performed using MapQTL 4.0. A total of 22 putative QTLs were identified in the map of ‘Arbequina.’ QTLs clustered in linkage groups (LG) 1, 10 and 17. QTLs for oil-related traits located in LG 1 and 10 explained around 20–30 % of the phenotypic variability depending on the season and the trait. QTL for moisture-related traits were detected in LG 1, 10 and 17, and QTLs for the ratio pulp to stone were identified in LG 10 and 17 explaining around 15–20 %. Interaction between QTLs for the same trait was investigated. The significance of these results was discussed considering the co-localization of QTLs and Pearson correlations among traits. Five additional QTLs were detected in the map of ‘Picual.’ Four of them clustered in LG 17 indicating the presence of a QTL for fruit weight explaining around 12.7–15.2 % of the variability. Additionally, a QTL for trunk diameter was detected in LG 14 explaining 16 % of the variation. These results represent an important step toward the application of MAS in olive breeding programs.
Publisher version (URL)http://dx.doi.org/10.1007/s11032-014-0070-y
URIhttp://hdl.handle.net/10261/127677
DOI10.1007/s11032-014-0070-y
Identifiersdoi: 10.1007/s11032-014-0070-y
issn: 1380-3743
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