ASSESSING GENETIC DIVERSITY IN CHICKPEA FOR CROP IMPROVEMENT

ASHA KUSHWAHA1, SUDHANSHU JAIN2*, M. YASIN3, A.K. SINGH4
1Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior, Madhya Pradesh 474002
2Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior, Madhya Pradesh 474002
3Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior, Madhya Pradesh 474002
4Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior, Madhya Pradesh 474002
* Corresponding Author : sudhanshujain07@yahoo.in

Received : 26-06-2017     Accepted : 23-07-2017     Published : 12-08-2017
Volume : 9     Issue : 37       Pages : 4563 - 4565
Int J Agr Sci 9.37 (2017):4563-4565

Keywords : Genetic diversity, chickpea, variability
Academic Editor : Suhel Mehandi
Conflict of Interest : None declared
Acknowledgements/Funding : Author are thankful to Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior, Madhya Pradesh 474002
Author Contribution : All author equally contributed

Cite - MLA : KUSHWAHA, ASHA, et al "ASSESSING GENETIC DIVERSITY IN CHICKPEA FOR CROP IMPROVEMENT." International Journal of Agriculture Sciences 9.37 (2017):4563-4565.

Cite - APA : KUSHWAHA, ASHA, JAIN, SUDHANSHU, YASIN, M., SINGH, A.K. (2017). ASSESSING GENETIC DIVERSITY IN CHICKPEA FOR CROP IMPROVEMENT. International Journal of Agriculture Sciences, 9 (37), 4563-4565.

Cite - Chicago : KUSHWAHA, ASHA, SUDHANSHU JAIN, M. YASIN, and A.K. SINGH. "ASSESSING GENETIC DIVERSITY IN CHICKPEA FOR CROP IMPROVEMENT." International Journal of Agriculture Sciences 9, no. 37 (2017):4563-4565.

Copyright : © 2017, ASHA KUSHWAHA, 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

Eighty-four genotypes of chickpea were studied to know the nature and magnitude of genetic divergence using Mahalanobis’s D2 Statistics. The data were recorded on ten important traits from the genotypes grown in Randomized Block Design having three replication. All the 84 genotypes were classified into 8 clusters. The inter-cluster distances were greater than intra-cluster distances this indicates that a considerable amount of genetic variability was present in the study material. Inter cluster D2 values ranged from 22.935 to 6.589. Maximum inter cluster distance was between cluster V & cluster VIII (22.935) while minimum inter cluster distance (6.589) was observed between cluster II & cluster IV indicating presence of diversity in these clusters. The cluster V showed maximum intra cluster D2 value (5.645). Cluster VIII which consists of 8 genotypes showed maximum mean value for number of pods per plant and seed yield per plant may be of importance for yield characters. Diverse clusters namely, V and VIII consists of diverse parents hold good promise for potential hybrids for desirable characters and thereby creating greater possibilities of obtaining early type high yielders.

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