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VOL. 7, ISSUE 2 (2025)
Multivariate analysis of diversity of Sorghum germplasm
Authors
A Gopikrishnan, P Thilagam, P Veeramani, T Balaji, K P Sivalumar
Abstract
Descriptive, Principal Component Analysis and
Cluster analysis were performed on twelve morphological and phenological
characters to identify the pattern of genetic variability in 50 sorghum
genotypes. Descriptive analysis revealed that the largest variation was observed
for panicle girth with coefficient of variation of 38.41 % and the least
variation was observed in days to maturity with coefficient of variation of
5.97%. Principal component analysis extracted four components contributing to
around 78.22% of total variability among twelve characters. Principal component
1, 2, 3 and 4 contributed 35.68 %, 19.99 %, 12.53% and 10.02% of variation
respectively in the total variability. Thus the results of principal component
analysis used in the study had revealed the high level of genetic variation and
the traits controlling for the variation were identified. Hence, these entries
can be utilized for trait improvement in breeding programs for the traits
contributing for major variation. The biplot analysis indicated node length,
days to maturity, panicle girth, days to 50% flowering, single plant yield, plant
height, leaf length panicle length exhibited positive associations due to acute
angle between them. Cluster analysis acknowledged two major clusters, one
cluster with 11 genotypes and other cluster with 39 genotypes.
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Pages:49-55
How to cite this article:
A Gopikrishnan, P Thilagam, P Veeramani, T Balaji, K P Sivalumar "Multivariate analysis of diversity of Sorghum germplasm". International Journal of Agriculture and Plant Science, Vol 7, Issue 2, 2025, Pages 49-55
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