UPGMA and artificial neural networks applications on wild type olives

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

JOURNAL OF ENVIRONMENTAL BIOLOGY, vol.38, no.5, pp.1079-1084, 2017 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 38 Issue: 5
  • Publication Date: 2017
  • Doi Number: 10.22438/jeb/38/5(s1)/gm-26
  • Title of Journal : JOURNAL OF ENVIRONMENTAL BIOLOGY
  • Page Numbers: pp.1079-1084

Abstract

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.