UPGMA and artificial neural networks applications on wild type olives


Sesli M., Oglu E. D. Y. , Altıntaş V., GEVREKÇİ Y.

JOURNAL OF ENVIRONMENTAL BIOLOGY, cilt.38, ss.1079-1084, 2017 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 38 Konu: 5
  • Basım Tarihi: 2017
  • Doi Numarası: 10.22438/jeb/38/5(s1)/gm-26
  • Dergi Adı: JOURNAL OF ENVIRONMENTAL BIOLOGY
  • Sayfa Sayıları: ss.1079-1084

Özet

Aim: Plant genetic sources are important to study genetic variability and richness of hereditary knowledge of plant species in gene pool. Local varieties, rural populations, wild types and old varieties are the primary ones. In this respect, wild type olives (Olea europaea oleaster) are valuable in terms of olive breeding, cultivation and ecosystem. The aim of the study was to determine genetic distances between olive varieties.