International Journal of Chemical Studies
Vol. 5, Issue 4 (2017)
Assessment of genetic divergence in Niger germplasm
Author(s): Vinod Kumar Goyal and Rajani Bisen
Abstract: Seventy one niger germplasm were evaluated to explore the nature and magnitude of genetic divergence for yield and its contributing traits during kharif 2015-16 using Mahalanobis’s D2 Statistics. The data were recorded on eleven important yield attributing traits from the germplasms raised in randomized complete block design (RCBD) under three replications. Highly significant differences existed among the genotypes tested for all the traits. Cluster analysis revealed wide range of diversity in the genotypes grouped in eleven clusters. Out of eleven, Cluster II was the largest among all clusters followed by cluster I, cluster IX, cluster X, cluster VII, cluster XI and cluster IV. Cluster III, V, VI and VIII were monotypic. The highest intra cluster distance was recorded by cluster X followed by cluster IX, cluster XI, cluster IV, cluster VII, cluster II and Cluster I. The highest inter cluster distance was observed between the clusters VII and XI followed by clusters IV and XI and clusters VI and VII. The characters like seed yield per plant, 1000 seed weight and number of capitula per plant exhibited major contribution towards the genetic divergence. These traits should be considered as more important and due consideration to any breeding program. On the basis of inter and intra-cluster distance coupled with cluster means of different traits, the genotypes classified in clusters IX, IV, XI, VII, II, VI and V were found to be superior and may be utilized in breeding programmes.
Pages: 1482-1485 | 415 Views 13 Downloads
How to cite this article:
Vinod Kumar Goyal, Rajani Bisen. Assessment of genetic divergence in Niger germplasm. Int J Chem Stud 2017;5(4):1482-1485.