Genetic Variability, Correlation and Path Analysis in Sesame (Sesamum indicum L.)
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Date
2019-06-26
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Agriculture University, Jodhpur
Abstract
An experiment entitled “Genetic Variability, Correlation and Path Analysis in
sesame (Sesamum indicum L.)” was carried out during kharif 2018-19 at the Research
Farm of Agricultural Research Station, Mandor, Jodhpur (Rajasthan). The experiment
was laid out using Randomized Block Design with forty genotypes in three
replications to estimate the extent of genetic variability, heritability, genetic advance,
correlation between yield and other characters and the direct and indirect effect of
yield contributing traits through path coefficient analysis.
Analysis of variance exhibited significant difference for all the characters
suggesting the presence of great genetic variations among the genotypes studied. The
phenotypic coefficient of variation (PCV) was slightly higher than the respective
genotypic coefficient of variation (GCV) for all the characters, indicating less
environmental influence on the genotypes. The highest magnitudes of PCV and GCV
were observed for number of primary branches per plant whereas, the lowest was for
days to maturity. Days to 50% flowering, days to maturity, number of primary
branches per plant and seed yield per plant showed high estimates of heritability. High
heritability coupled with high genetic advance as per cent of mean were altogether at
a glance, observed for the traits like number of primary branches per plant and seed
yield per plant suggesting additive gene action for expression of these characters.
Hence, these characters may be proved as effective criteria for selection to improve
seed yield in sesame.
Correlation studies among the characters revealed that seed yield per plant had
a highly positive and significant association with characters viz., number of primary
branches per plant, number of capsules per plant, capsule bearing length and harvest
index both at phenotypic and genotypic levels, therefore, selection for these characters
may bring simultaneous improvement in the seed yield. Path coefficient analysis
revealed that the highest positive direct effect on seed yield per plant exhibited by
number of capsules per plant followed by capsule bearing length, harvest index,
number of primary branches per plant, 1000 seed weight, plant height and days to
50% flowering, therefore, these traits may be used for further improvement in seed
yield of sesame.
Out of 40 genotypes EC-370867, IC-203936, RMT-251, IC-204531, RMT 244 and IC-203983 were found promising in seed yield and other characters. Hence,
these genotypes would be used as parental source for future breeding programme.
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Citation
Kumari Babita 2019. Genetic Variability, Correlation and Path Analysis in Sesame (Sesamum indicum L.) M.Sc. thesis, College of Agriculture, Agriculture University, Jodhpur.