Use of cluster analysis and analysis of the main components for evaluation of triticale samples

The study was conducted in the period 2015-2017 experimental field of IRGR "K. Malkov” Sadovo. elements productivity 24 varieties and lines triticale (X. Triticosecale Wittmacks) were studied. degree variation each indicators is determined by calculating a coefficient variation. results obtained show that most variable indicator weight grains central spike whereas slightest observed parameters test 1000 weight. Hierarchical cluster analysis main components (PC-analysis) are applied to assess genetic similarity distance between different varieties. As result clustering studied samples divided into six groups. Trit 32/6 KS 60 characterized with greatest proximity, followed line BGR 30071 Bulgarian variety Rozhen. largest difference reported 30816 KT 81. shows PC 1, 2 3 explain 70.6% total all traits genotypes. numbers (9) belong component 3, as four them located negative values other five genotypes positive 3. Component 1 represented eight samples, includes seven