文章基本信息

标题：Exploring Genetic Diversity in Chickpea (Cicer arietinum L.) Under Normal Sown Condition of Bihar
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作者：Prince Raj ; Anand Kumar ; Sadia Perween 等
期刊名称：Current Journal of Applied Science and Technology
印刷版ISSN：2457-1024
出版年度：2018
卷号：31
期号：4
语种：English
出版社：Sciencedomain International
摘要：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 cropResults 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.