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Journal code(s)
- E-ISSN Number: 2277-7695
- P-ISSN Number: 2349-8242
- CODEN Code: PIHNBQ
- ZDB-Number: 2663038-2
- IC Journal ID: 7725
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Vol. 8, Issue 1 (2019)
Genetic diversity analysis for qualitative and quantitative traits in Indian mustard (Brassica juncea L. Czern & Coss)
Author(s):
Anurag Tripathi, Mahak Singh and Amit Tomar
Anurag Tripathi, Mahak Singh and Amit Tomar
Abstract:
All the 25 genotypes were grouped into 6 clusters based on D2 analysis. The cluster-I with 9 strains had maximum genotypes among all the clusters followed by cluster-III, II, IV, V and VI. The inter cluster distance was recorded highest between cluster-III and cluster-IV (90.88). The minimum inter cluster distance was observed between cluster-I and IV (15.38) indicating their close relationship.
All the 25 genotypes were grouped into 6 clusters based on D2 analysis. The cluster-I with 9 strains had maximum genotypes among all the clusters followed by cluster-III, II, IV, V and VI. The inter cluster distance was recorded highest between cluster-III and cluster-IV (90.88). The minimum inter cluster distance was observed between cluster-I and IV (15.38) indicating their close relationship.
Pages: 637-639 | 722 Views 189 Downloads
How to cite this article:
Anurag Tripathi, Mahak Singh, Amit Tomar. Genetic diversity analysis for qualitative and quantitative traits in Indian mustard (<em>Brassica juncea</em> L. Czern & Coss). Pharma Innovation 2019;8(1):637-639.
Journal code(s)
- E-ISSN Number: 2277-7695
- P-ISSN Number: 2349-8242
- CODEN Code: PIHNBQ
- ZDB-Number: 2663038-2
- IC Journal ID: 7725
Main Menu
Special Issue
Copyright Form
Identifier
The Pharma Innovation Journal
