Cluster Analysis in Emmer Wheat Germplasm using Quantitative Traits

Author: Jatin Tanwar, Shivani Sharma, Preeti Jakhar, Gaurav Kumar, Vikas, V.K., Shailendra K. Jha and Jyoti Kumari

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Abstract

Diversity analysis play key role in the germplasm evaluation which is directly correlated with the improved crop production. Different statistical methods have been used to study diversity among genotypes such as cluster analysis, principal component analysis and factor analysis. Among these techniques cluster analysis is used for the grouping of individuals based on their attributes. Emmer wheat is a rich genetic resource for the improvement of durum and bread wheat because it possesses beneficial and economically significant traits like pest and disease resistance and tolerance to abiotic stresses. Despite the substantial potential of emmer wheat, limited efforts have been made for its improvement. In the present study a total of 192 dicoccum wheat accessions from the National Genebank were assessed for their genetic diversity analysis using agro-morphological traits under three different locations; namely ICAR-IARI, Experimental farm, New Delhi, ICAR-NBPGR, Experimental farm, Issapur, New Delhi, and ICAR-IARI, RS, Wellington, Experimental farm, Tamil Nadu. Data were recorded for 14 different quantitative traits. Cluster analysis grouped the total 192 dicoccum wheat accessions into six clusters with Cluster I and VI being in contrast for several traits which may be used in selection of diverse parents for crossing program. The cluster membership of accessions revealed that Cluster I, IV and V consisted of mainly indigenous accessions whereas Cluster VI consisted of mainly exotic accessions. Cluster II and Cluster III consisted both indigenous and exotic accessions.

Keywords

Emmer wheat, Cluster analysis, Dendrogram, Quantitative traits, Germplasm categorization

Conclusion

Cluster analysis grouped the total 192 accessions into six clusters. Cluster III is the largest (59 acc.) and V is the smallest one (12 acc.). Cluster I, Cluster IV and Cluster V consisted of mainly indigenous germplasm whereas Cluster VI consisted of mainly exotic germplasm. Cluster I had accessions with low plant height and high grains per spike, high thousand grain weight and grain length. Moreover, high peduncle length, spike length, spikelets per spike, grain width and grain yield of one metre row length was observed in cluster VI. Thus, Cluster I and VI being contrast for several traits may be used in selection of diverse parents for crossing program.

References

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How to cite this article

Jatin Tanwar, Shivani Sharma, Preeti Jakhar, Gaurav Kumar, Vikas, V.K., Shailendra K. Jha and Jyoti Kumari (2023). Cluster Analysis in Emmer Wheat Germplasm using Quantitative Traits. Biological Forum – An International Journal, 15(2): 556-560.