Determining the genetic relationships between cultivated type olives using ISSR and morphological markers


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YEĞENOĞLU E. D., SESLİ M., Gevrekci Y.

Journal of Environmental Biology, cilt.38, sa.5, ss.1043-1048, 2017 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 38 Sayı: 5
  • Basım Tarihi: 2017
  • Doi Numarası: 10.22438/jeb/38/5(si)/gm-21
  • Dergi Adı: Journal of Environmental Biology
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1043-1048
  • Anahtar Kelimeler: Euclidean distance, ISSR markers, Morphological characters, Olives, UPGMA
  • Manisa Celal Bayar Üniversitesi Adresli: Evet

Özet

Aim: The study aimed to compare morphological characters and Inter-simple sequence repeat data based trees, and examine the genetic relations in ten olive varieties among cultivated type olives grown commonly in different regions of Turkey. Methodology: Ten olive varieties were evaluated with some morphologic markers and ISSR marker. All analyses were conducted with Numerical Taxonomy System (NTSYS). The cluster analysis was performed with unweighted pair group method with arithmetic average (UPGMA) clustering algorithm. Results: The results showed that there was a moderate correlation between pairwise distances estimated from ISSR data and distances from morphological characters (0.511). The Euclidean Distance matrix represented that the lowest value was between Tavsan Yuregi and Cilli (1.62), while the highest value was between Manzanilla and Cekiste (7.91). According to Jaccard coefficient, the samples closest to each other were (Memecik and Gemlik); and the samples farthest to each other were (Halhali and Manzanilla). I n t e r p r e t a t i o n: Determining the genetic relations in agriculturally economic plants is valuable in terms of protecting the gene sources, determining t h e h o m o n y m s a n d synonyms, and developing b r e e d i n g p r o g r a m s. M o r p h o l o g i c a l a n d molecular markers may be used in the identification of genetic variability. Mutually complementary information can be obtained by using m o r p h o l o g i c a l a n d molecular markers together.