Acta Scientific Agriculture (ASAG)(ISSN: 2581-365X)

Research Article Volume 5 Issue 7

Genetic Variability and Interrelationship among the Agro-economic Traits in Psyllium Accessions

Dilshad Ahmed1* and RK Lal2

1Department of Botany, University of Lucknow, Uttar Pradesh, India
2Department of Genetics and Plant Breeding, CSIR-Central Institute of Medicinal and Aromatic Plants, P.O. CIMAP, Uttar Pradesh, India

*Corresponding Author: Dilshad Ahmed, Department of Botany, University of Lucknow, Uttar Pradesh, India.

Received: June 15, 2021; Published: June 29, 2021

Abstract

The present study aims to understand the degree, amount and nature of relationship between different morphometric and yield associated traits and path coefficient analysis in medicinally important plant. The genotypic correlation coefficient (rg) was higher than phenotypic correlation coefficient (rp), suggesting inherent relations for selected traits at their genotypic level. Highest direct contributor to seed yield was husk yield/plot (0.88), whereas, the lower indirect contributor to seed yield was plant height. The highest heritability and highest genetic advance were observed for the traits panicle/plant 98.57%, 157.79%, respectively suggesting it was possibly governed due to cumulative gene action. On the basis of overall mean performance, character contribution, correlation, path coefficient analysis, heritability and genetic advance, accessions GSD 36, GSD 38, GSD 42, GSD 45, and GSD 47 were identified as highest seed yielding accessions and could be exploited for commercial cultivation.

Keywords: Correlation; Genotypic Coefficient of Variation; Phenotypic Coefficient of Variation; Heritability; Medicinal Plant

References

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Citation

Citation: Dilshad Ahmed and RK Lal. “Genetic Variability and Interrelationship among the Agro-economic Traits in Psyllium Accessions". Acta Scientific Agriculture 5.7 (2021): 77-82

Copyright

Copyright: © 2021 Dilshad Ahmed and RK Lal. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




Metrics

Acceptance rate32%
Acceptance to publication20-30 days
Impact Factor0.869

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