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Vol. 12, Issue 5 (2023)

Elucidation of genetic diversity and principal component analysis in sorghum genotypes for yield and its contributing traits

Author(s):
N Malini, S Hari Ramakrishnan and P Vinoth
Abstract:
A total of 112 sorghum lines consisting of grain and dual purpose sorghum was evaluated for six yield contributing characters by principal component analysis for identifying genetic diversity of germplasm and relationship among the individuals. For that, the observations were recorded on 50% flowering, plant height, earhead length, days to maturity, 100 seed weight and grain yield. Among the six traits the highest genetic variation was identified for grain yield with co-efficient of variation (CV) of 50.69% followed by plant height, 100 seed weight and earhead length. Days to maturity has shown the low variation with the CV of 2.69%. Principal component analysis was utilized to identify the variation and to evaluate the relative contribution of various traits for total variability. In the present research, component-I the contribution for 50% flowering and days to maturity which accounted 36.85% of the total variability. Plant height, grain yield and earhead length has contributed 27.61 of the total variability. PC 3 had the contribution for ear head length with 17.06% of the total variability. The total variation of 81.5% was explained by the first three axes for six quantitative characters. Hierarchical cluster analysis classified the 112 sorghum genotypes were clustered in to 3 distinct groups. Hence, the information on grain yield and its component trait were revealed the presence of diverse genotypes that can be utilized for evolving Sorghum varieties with higher grain yield.
Pages: 710-714  |  222 Views  141 Downloads


The Pharma Innovation Journal
How to cite this article:
N Malini, S Hari Ramakrishnan, P Vinoth. Elucidation of genetic diversity and principal component analysis in sorghum genotypes for yield and its contributing traits. Pharma Innovation 2023;12(5):710-714.

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