Biochemical Genetics

, Volume 54, Issue 4, pp 506–533 | Cite as

Association Mapping in Turkish Olive Cultivars Revealed Significant Markers Related to Some Important Agronomic Traits

  • Hilal Betul Kaya
  • Oznur Cetin
  • Hulya Sozer Kaya
  • Mustafa Sahin
  • Filiz Sefer
  • Bahattin Tanyolac
Original Article


Olive (Olea europaea L.) is one of the most important fruit trees especially in the Mediterranean countries due to high consumption of table olive and olive oil. In olive breeding, the phenotypic traits associated to fruit are the key factors that determine productivity. Association mapping has been used in some tree species and a lot of crop plant species, and here, we perform an initial effort to detect marker-trait associations in olive tree. In the current study, a total of 96 olive genotypes, including both oil and table olive genotypes from Turkish Olive GenBank Resources, were used to examine marker-trait associations. For olive genotyping, SNP, AFLP, and SSR marker data were selected from previously published study and association analysis was performed between these markers and 5 yield-related traits. Three different approaches were used to check for false-positive results in association tests, and association results obtained from these models were compared. Using the model utilizing both population structure and relative kinship, eleven associations were significant with FDR ≤ 0.05. The largest number of significant associations was detected for fruit weight and stone weight. Our results suggested that association mapping could be an effective approach for identifying marker-trait associations in olive genotypes, without the development of mapping populations. This study shows for the first time the use of association mapping for identifying molecular markers linked to important traits in olive tree.


Association mapping Olive tree Linkage disequilibrium Agronomic traits 

Supplementary material

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Supplementary material 1 (PDF 94 kb)
10528_2016_9738_MOESM2_ESM.xlsx (355 kb)
Supplementary material 2 (XLSX 354 kb)
10528_2016_9738_MOESM3_ESM.pdf (248 kb)
Supplementary material 3 (PDF 247 kb)


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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Hilal Betul Kaya
    • 1
  • Oznur Cetin
    • 2
  • Hulya Sozer Kaya
    • 2
  • Mustafa Sahin
    • 2
  • Filiz Sefer
    • 2
  • Bahattin Tanyolac
    • 1
  1. 1.Department of BioengineeringEge UniversityIzmirTurkey
  2. 2.Olive Research StationIzmirTurkey

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