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Abstract
Aim:
The
study aims to assess the extent and nature of genetic divergence and
relationships among the key yield attributing characters in pointed gourd (Trichosanthes
dioica Roxb.) genotypes using advanced multivariate statistical
approaches. The objective was strategic selection of genetically diverse and
superior parental lines for their potential use in future breeding programs
for yield improvement and quality enhancement.
Methodology: A comprehensive
evaluation of morphological, yield-contributing, and fruit quality traits was
carried out. PCA was employed to determine the relative contribution of each
trait to overall variation, while Single Linkage Cluster Analysis was used to
group genotypes based on trait similarity.
Results: Significant
variability was observed among the genotypes, supported by high values of
standard deviation, coefficient of variation, and broad trait ranges. All
genotypes were distinctly separated at 100% dissimilarity, forming seven
clusters at 85% and three clusters at 55% dissimilarity levels. Genotypes
with high cluster means for specific desirable traits were identified as
potential parents for the genetic improvement of pointed gourd through
hybridization and selection.
Interpretation: The pointed gourd
germplasm of Uttar Pradesh and West Bengal and hybrids exhibited considerable
genetic diversity for desirable traits and suggested divergent parents can
produce superior, high-yielding pointed gourd varieties.
Key
words:
Genetic divergence, Pointed gourd, Principal component analysis, Single
linkage cluster analysis
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