Assessment of Genetic Variability andDivergence in Coriander (Coriandrumsativum L.) Germplasm Using MultivariateStatistical Approaches
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Authors
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Shailesh Marker
S.K.N Agriculture University, Jobner
Author
Keywords:
Coriandrum sativum L., genetic divergence, multivariate analysis, PCA, cluster analysis, correlationAbstract
he present investigation aimed to assess the genetic variation and
divergence among coriander (Coriandrum sativum L.) genotypes
using various multivariate statistical methods. The study was
conducted in Randomized Block Design, evaluating ten key
quantitative characters to identify promising genotypes. Correlation
analysis revealed significant positive associations, notably between
umbels per plant and seeds per umbel, as well as between biological
yield and seed yield, suggesting their potential for indirect selection in
breeding programs. Principal Component Analysis (PCA) identified
four principal components that collectively accounted for 87.26% of
the total variability, with PC1 contributing the highest proportion. This
component was primarily influenced by plant height, number of
branches per plant and oil content. Cluster analysis categorized the
genotypes into four groups. Genotypes UD 619, UD 703 and RCr 728
showed close genetic affinity, while UD 603 stood out as a distinct
genotype due to its notably high seed yield. Plant height and oil
content exhibited high heritability coupled with a high genetic
advance as percent of mean, indicating the predominance of additive
gene action.
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