Rahul I. Gohil1, P.K. Jagtap2 and H.K. Koli1*
1 Genetics and Plant Breeding N.M College of Agriculture, NAU, Navsari, Gujarat, India
2 Niger Research Station, Navsari Agricultural, University, Vanarasi, Gujarat, India
Email: hkk24394@gmail.com
Received-04.05.2022, Revised-17.05.2022, Accepted-28.05.2022
Abstract: Genetic variability forms the basis for crop improvement hence detailed appraisal of the accessions for different morphological, agronomic and quality traits is necessary in order to identify useful traits either for direct or indirect use in improvement programs. The present experiment was carried out at Niger Research Station, Navsari Agricultural University, Varanasi, (Vansda) during summer 2019. The magnitudes of genotypic correlations were higher as compared to the corresponding phenotypic correlations which indicate that there was an inherent association between the characters at genotypic level. Seed yield per plant was found to be highly significant and positively correlated with plant height, branches per plant, capsules per plant, capsule length and harvest index at both genotypic and phenotypic levels while days to maturity and capsule width had highly significant correlation with seed yield per plant at genotypic level indicating that these attributes were mainly influencing the seed yield in sesame. Thus, selection practiced for the improvement in a character will automatically result in the improvement of other character even though direct selection for improvement has not been made for the yield character. While, non-significant positive correlation with seed yield per plant was observed for leaf area and 1000 seed weight at both genotypic and phenotypic levels. Highly significant negative correlation observed for days to 50 % flowering and total oil content indicated that selection for such negatively correlated trait would be very crucial affecting the progress under selection and it would be hard to apply simultaneous selection for these characters for development of new variety. Path coefficient analysis revealed highest positive direct effect on seed yield was recorded for branches per plant followed by days to maturity, harvest and 1000 seed weight. Thus, these traits turned out to be the major components of seed yield per plant.
Keywords: Path coefficient, Correlation analysis, Sesame
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