UPGMA and artificial neural networks applications on wild type olives
Makaleler > Tam Makale · 2017
Yazarlar: Meltem Sesli, E. D. Yegen Oglu, Volkan Altıntaş, Yakut GEVREKÇİ
JOURNAL OF ENVIRONMENTAL BIOLOGY, SCI Expanded İndekslerine Giren Dergi, Uluslararası, 2017, cilt 38, ss 1079-1084
DOI: 10.22438/jeb/38/5(s1)/gm-26
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.