8th European-Federation-for-Information-Technology-in-Agriculture, Food and the Environment / 8th World Congress on Computers in Agriculture, Prague, Çek Cumhuriyeti, 11 - 14 Temmuz 2011, ss.38-43
In this study, first of all, six varieties (Demir-2000, Gun-91, Ikizce-96, Mizrak, Seval, Tosunbey) of bread wheat are classified by using the common vector approach (CVA). For this purpose, five yield characters (length of spike, spikelet number per spike, grain number per spike, spike weight, plant height) of varieties are used. These characters include 20 plant samples which were obtained from field studies conducted during two years under dry farming. Secondly, five yield characters taken from six varieties are classified by using CVA. Satisfactory results were obtained especially in the training set.