CLASSIFICATION OF NATIONAL VARIETY ACCESSIONS OF CABBAGE BRASSICA OLERACEA L. WITH THE USE OF SSR MARKERS

It is important to reveal the genetic base of breeding genetic material used for development of new breeding accessions among diverse Brassica oleracea L. (CC, 2n = 18). Traditional varieties, hybrids and new ones recently developed are the main genetic resources.Classification of a collection with DNA markers enables to reveal valuable genotypes and establish the breeding accession pedigree that allows developing the new accessions with sustainable economically valuable traits. The use of microsatellite markers (SSR) in B.oleracea L. has shown high efficiency in discovering genetic polymorphism between varieties and within varieties as well. In this study, 16 primer pairs have been taken to amplify microsatellite loci of genomic DNA in national 24 breeding accessions of cabbage. On the basis of the data obtained the dendrogram has been constructed with use of Jaccard’s coefficient. All locistudied were high informative, where 14 out of 16 had a PIC > 0.5. As a result, the level of genetic polymorphism has reached 85.7%. The large cluster of head cabbages consists of three subclusters: mid-maturing and early-maturing accessions of white head cabbage, red head and savoy cabbages, late-maturing and midmaturing accessions of white head cabbage, respectively. Maximum genetic distance in the cluster of head cabbages was obtained between head cabbage ‘Slava 231’ and ‘Vertu 1340’ with genetic similarity 44.7%. The two varieties of red head cabbage ‘Gako 741’ and ‘Kamennaya Golovka 447’ were genetically similar at 71.1%. The relatively low genetic similarity of these varieties can be explained by that they belong to different varietal groups. The most genetically closest varieties were ‘Zimovka 1474’ and ‘Podarok‘ with genetic similarity 86,5%. Information on topologic differentiation obtained from cluster analysis can be the basis for selection of genetically valuable breeding material with the use of DNA markers (Marker Assisted Selection).