Genetic Divergence for Yield, Physiological and Quality Traits in Super-Early Pigeon pea (Cajanus cajan. (l.) Millsp.)

Shruthi, H B and Hingane, A J and Sekhar, M R and Kumar, C V S and Prashanthi, L and Reddy, B V B and Sudhakar, P and Srivarsha, J and Bhosle, T M and Anil Kumar, V and Rathore, A (2020) Genetic Divergence for Yield, Physiological and Quality Traits in Super-Early Pigeon pea (Cajanus cajan. (l.) Millsp.). International Journal of Current Microbiology and Applied Sciences, 9 (1). pp. 2422-2433. ISSN 2319-7692

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Abstract

The present investigation aimed to study genetic divergence and clustering pattern of 37super-early pigeon pea genotypes. Analysis of variance and hierarchical cluster analysis of tocher’s method revealed significant differences among the genotypes for all the traits under study. Based on genetic distance (D2 value), the 37 genotypes were grouped into 9 distinctive clusters, of which cluster I and II formed the largest clusters with 10 genotypes in each. Among all the characters understudy, leaf area index(LAI) at 60 DAS contributed more to the divergence followed by leaf area (17.02) and leaf area index (12.71) at maturity. Based on the average inter-cluster distance, the cluster III and IX (66.93) tailed by cluster III and VIII (64.86) and cluster VI and VIII (64.06) showed higher inter-cluster distance depicting the wider divergence. Trait-wise selection of diverse parents from the above clusters aids in exploitation of heterosis in superearly pigeon pea.

Item Type:	Article
Divisions:	Research Program : Asia
CRP:	UNSPECIFIED
Uncontrolled Keywords:	Super-early, Pigeonpea, Genetic Divergence, Cajanus cajan
Subjects:	Others > Crop Physiology Others > Soil Fertility Mandate crops > Pigeonpea Others > Genetics and Genomics
Depositing User:	Mr Arun S
Date Deposited:	08 Apr 2020 09:33
Last Modified:	08 Apr 2020 09:33
URI:	http://oar.icrisat.org/id/eprint/11465
Official URL:	https://doi.org/10.20546/ijcmas.2020.901.276
Projects:	UNSPECIFIED
Funders:	UNSPECIFIED
Acknowledgement:	It is to acknowledge and heart-fully thank Department of Science and Technology, Government of India, for funding my Ph.D. research by the INSPIRE fellowship programme. The services rendered by Jyothi and Rajesh, field technicians, Pigeonpea Breeding, ICRISAT in field operations are greatly acknowledged.
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