GENETIC DIVERGENCE AND CHARACTER ASSOCIATION IN SESAME (Sesamum indicum L.)
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Date
2008
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ACHARYA N. G. RANGA AGRICULTURAL UNIVERSITY, RAJENDRANAGAR, HYDERABAD
Abstract
In the present investigation, fifty three genotypes of sesame were evaluated
for genetic divergence, genetic variability, character association and path
coefficient analysis. The experiment was laid out in a randomized block design
with three replications during kharif 2006, at College farm, College of Agriculture,
Rajendranagar, Hyderabad.
Analysis of variance indicated the existence of significant genotypic
differences for all the thirteen characters. Among the genotypes studied Swetha
Thil, YLM-17 and YLM-11 showed high mean performance for seed yield as well
as for most of the yield components.
Genetic divergence studies by Mahalanobis’s D2 analysis indicated the
existence of significant diversity in fifty three sesame genotypes which were
grouped into eight clusters. The characters chlorophyll content, number of capsules
per plant, plant height and days to maturity contributed maximum towards genetic
divergence. The clusters I, II, VII and VIII recorded high mean values for seed
yield and they were highly divergent from each other. Hence, crosses made
between genotypes selected from the clusters I, II, VII and VIII are recommended
to obtain increased productivity as well as to exploit maximum heterosis.
The studies of genetic variability revealed high phenotypic and genotypic
coefficients of variation, heritability and genetic advance as per cent of mean for
number of capsules per plant, plant height, number of seeds per capsule and days to
50 per cent flowering indicating that simple selection can be practiced for
improving these characters.
Character association studies indicated the highly significant positive
correlation of oil content, harvest index, 1000-seed weight, number of seeds per
capsule, number of effective primaries per plant, number of capsules per plant,
chlorophyll content and capsule length with seed yield and among themselves.
Hence, improvement of these characters would simultaneously improve the seed
yield. Path coefficient analysis revealed that harvest index and number of seeds per
capsule were the important attributes in formulating selection criterion for effective
improvement of seed yield.
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Keywords
GENETIC, DIVERGENCE, CHARACTER, ASSOCIATION, SESAME