GENETIC DIVERGENCE ANALYSIS FOR YIELD AND QUALITY TRAITS IN PIGEONPEA [Cajanus cajan L.]

S.S. CHAUDHARY1, G.R. LAHANE2*, ANKIT PATEL3
1Department of Genetics and Plant Breeding, C. P. College of Agriculture, S. D. Agricultural University, Sardarkrushinagar, 385 506 Gujarat
2Department of Genetics and Plant Breeding, C. P. College of Agriculture, S. D. Agricultural University, Sardarkrushinagar, 385 506 Gujarat
3Department of Genetics and Plant Breeding, C. P. College of Agriculture, S. D. Agricultural University, Sardarkrushinagar, 385 506 Gujarat
* Corresponding Author : ganeshlahane904@gmail.com

Received : 24-08-2016     Accepted : 01-09-2016     Published : 30-10-2016
Volume : 8     Issue : 52       Pages : 2483 - 2485
Int J Agr Sci 8.52 (2016):2483-2485

Keywords : Pigeon pea, Genetics divergence, D2 statistics
Academic Editor : Dr Mukesh Kumar Meena
Conflict of Interest : None declared
Acknowledgements/Funding : None declared
Author Contribution : None declared

Cite - MLA : CHAUDHARY, S.S., et al "GENETIC DIVERGENCE ANALYSIS FOR YIELD AND QUALITY TRAITS IN PIGEONPEA [Cajanus cajan L.]." International Journal of Agriculture Sciences 8.52 (2016):2483-2485.

Cite - APA : CHAUDHARY, S.S., LAHANE, G.R., PATEL, ANKIT (2016). GENETIC DIVERGENCE ANALYSIS FOR YIELD AND QUALITY TRAITS IN PIGEONPEA [Cajanus cajan L.]. International Journal of Agriculture Sciences, 8 (52), 2483-2485.

Cite - Chicago : CHAUDHARY, S.S., G.R. LAHANE, and ANKIT PATEL. "GENETIC DIVERGENCE ANALYSIS FOR YIELD AND QUALITY TRAITS IN PIGEONPEA [Cajanus cajan L.]." International Journal of Agriculture Sciences 8, no. 52 (2016):2483-2485.

Copyright : © 2016, S.S. CHAUDHARY, et al, Published by Bioinfo Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Abstract

Genetic divergence among 38 genotypes of pigeon pea belonging to different eco geographical regions was studied by using Mahalanobis D2 statistics. They were grouped into 7 clusters and clustering pattern of genotypes and genetic diversity was independent of their pedigree. Hence, selection of parents for hybridization should be more based on genetic diversity rather than geographic diversity. Among the seven clusters, cluster IV having two genotypes [SKNP 0505 and Manak] registered maximum mean values for seed yield per plant, number of pods per plant, total protein content, total phenol content and methionine content. These two genotypes were thus found having genetic make-up for high productivity with desirable biochemical quality. Similarly, the cultivar GT 101 was found better for seed yield per plant, pods per plant and tannin content. The cultivar Manak, UPAS 120 and Vipula were found best source of genes for phenol content to be exploited through hybridization programme.