Multidimensional scaling analysis of sensory characteristics and quantitative traits inwild apricots

The Cappadocia Region in Central Anatolia, Turkey is rich wild apricot genetic resources. In this study, a multivariate analysis method of metric and nonmetric multidimensional scaling (MDS) was used to classify 43 genotypes 5 standard cultivars by using Euclidean distance. MDS applied, based on dissimilarities, quantitative traits weight, height, width thickness fruit, stone kernel flesh/stone ratio, total soluble solids content, titratable acidity pH fruit juice, sensory attributes size shape, cavity depth, suture (cheek line), apex, attractiveness, skin pubescence, ground over color (blush), eating quality, aroma, firmness juiciness flesh, uniformity ripening flesh texture, cracking pit burn susceptibility, separation stone, shape (lateral view), surface taste. results showed that most the apricots (91.66%) had small sized fruits ranging from 10.5 g (type #53) 79.3 #68) with an average 25.27 ± 2.44 g. fair or good quality attractiveness light bitter sweet taste general. harvest date quite wide range between late June early September among genotypes. sufficient number dimensions determined stress value pseudo-R2 statistics, then relative positions were displayed graphics. Aprikoz distinct cultivated Both analyses revealed similar characteristics while #13, #20, #39, #60, #64, #68 differed most. individuals interesting features could be as parent breeding programs for development commercial cultivars.