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Research Article Open access

Exploring Genetic Diversity in Chickpea (Cicer arietinum L.) Under Normal Sown Condition of Bihar

Prince Raj, Anand Kumar, Sadia Perween, Ravi Ranjan Kumar, Satyendra ., Tushar Ranjan, P. K. Singh

Current Journal of Applied Science and Technology · pp. 1–5 · Published 8 Dec 2018

10.9734/CJAST/2018/45989

Abstract

Aims: The present investigation was undertaken to study the nature and magnitude of genetic diversity among chickpea genotypes. Study Design: The experimental material comprised of forty genotypes of chickpea in Rabi 2016-17 at Pulse Research Farm, Bihar Agricultural University, Sabour (Bhagalpur). The experiment was laid in a randomised complete block design with three replications during Rabi with the inclusion of the recommended packages and practices needed for a healthy crop Results and Discussion: Analysis of variance revealed highly significant differences among the forty genotypes for all the characters studied indicating that significant amount of genetic variability present in the material. The cluster I had maximum elven genotypes followed by cluster VI, 08  genotypes, cluster III, 07 genotypes and IV having five genotypes, while cluster II and V had four genotypes, respectively.  The cluster VII was mono-genotypic having one genotype. The intra-cluster D2 value ranged from 0.00 to 25.16 while, inter-cluster D2 value ranged from 30.73 to 204.05. The maximum intra cluster distance was exhibited by cluster V followed by cluster I and cluster IV.  The maximum inter-cluster distance was observed between cluster II and VII (204.05), followed by cluster II and V (170.79) and cluster III and V (157.56)  suggesting that the genetic architecture of the genotypes in one cluster differ entirely from those included in other clusters. The genotypes BAUG 108, H12-63, RKG13-380, AKG1303 and KWR108 were identified as genetically diverse parents, which can be utilized for future crop improvement programme in Chickpea. Conclusion: The above results indicate that these genotypes have maximum genetic diversity and useful for developing a large number of segregants through crossing programme by using maximum diverse genotypes.

Chickpea genetic diversity D2 statistics ward minimum variance method.

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