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The multivariate technique of hierarchical cluster analysis in 87 barley genotypes indicated substantial geneticdiversity in the experimental material. The experiment was conducted at Barley Research Area of the Department of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar during Rabi 2016-17. The estimates of coefficient of variation (CV) were observed highest for the number of grains per spike whereas, days to heading and maturity exhibited the lowest coefficient of variation. UPGMA method with city block distance was used to classify the genotypes and eight clusters were formed having one to thirty one genotypes. Maximum intra-cluster distance was observed for cluster V (38.85) followed by cluster VI (37.20) whereas; it was recorded minimum for cluster VII. The average inter-cluster distance was found to be highest between the clusters II and V (132.11) followed by clusters I and II (126.17) while the lowest inter-cluster distance was observed between clusters V and VI (53.37). The improvement in six rowed barley could be achieved through the use of genotypes assigned in clusters I and IV, whereas the genotypes which contained in cluster II and VII might be considered as potential parents for two rowed barley to obtain high  heterotic response and accordingly better segregants for grain yield. The hierarchical cluster analysis adopted in this investigation proved to be very effective and helpful in isolating the most diverse promising genotypes for future study.

Hierarchical cluster analysis in barley genotypes to delineate genetic diversity