Genetic variability, heritability, and cluster analysis of yield-related traits in okra

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Published

2026-06-30

DOI:

https://doi.org/10.58993/ijh/2026.83.2.1

Keywords:

Okra, genetic variability, heritability, genetic advance, cluster analysis
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Vol. 83 No. 02 (2026): Indian Journal of Horticulture

Section

Research Articles

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Copyright (c) 2026 Kancharla Ajay, Gopal Wasudeo Narkhede, G Prasanna, Dhanashila Subhash Sutar, Sandeep G Shinde, Hirakant V Kalpande, K S Baig

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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Authors

  • Kancharla Ajay Department of Genetics and Plant Breeding, School of Agriculture, SR University, Warangal – 506371, Telangana, India
  • Gopal Wasudeo Narkhede Department of Genetics and Plant Breeding, School of Agriculture, SR University, Warangal, 506371, Telangana, India
  • G Prasanna Department of Genetics and Plant Breeding, School of Agriculture, SR University, Warangal – 506371, Telangana, India
  • Dhanashila Subhash Sutar Department of Agricultural Botany, Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani – 431402, Maharashtra, India
  • Sandeep G Shinde Department of Agricultural Botany, Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani – 431402, Maharashtra, India
  • Hirakant V Kalpande Department of Agricultural Botany, Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani – 431402, Maharashtra, India
  • K S Baig Department of Agricultural Botany, Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani – 431402, Maharashtra, India

Abstract

The present investigation was undertaken to assess genetic variability, heritability, genetic advance, and
genetic divergence among twenty-two okra genotypes evaluated under field conditions during kharif 2024-25.
The experiment was laid out in a randomized block design with three replications, and data were recorded
for ten yield and yield-contributing traits. Analysis of variance revealed highly significant differences among
genotypes for all characters, indicating the presence of ample genetic variability. Estimates of genotypic and
phenotypic coefficients of variation were high for fruit yield, number of fruits, and number of branches per plant.
High heritability coupled with high genetic advance as a percentage of mean was observed for fruit yield per
plant, number of fruits per plant, and plant height, suggesting the predominance of additive gene action and
effectiveness of direct selection. Multivariate analysis grouped the genotypes into four distinct clusters, with
maximum inter-cluster distance observed between clusters III and IV, indicating substantial genetic divergence.
Fruit yield per plant contributed the highest proportion to total genetic divergence. Correlation and regression
analyses revealed strong positive associations of fruit yield with number of fruits per plant, fruit weight, and
fruit length. The identified divergent and superior clusters may be effectively utilized in future hybridization
programs to develop high-yielding okra cultivars.

How to Cite

Ajay, K., Wasudeo Narkhede, G., Prasanna, G., Sutar, D. S., Shinde, S. G., Kalpande, H. V., & Baig, K. S. (2026). Genetic variability, heritability, and cluster analysis of yield-related traits in okra. Indian Journal of Horticulture, 83(02), 131–137. https://doi.org/10.58993/ijh/2026.83.2.1

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References

1. Abhilash, P. V., Talekar, N., Delvadiya, I. R. and Anvesh, S. 2024. Exploring multivariate associations of yield and yield-associated traits in okra (Abelmoschus esculentus (L.) Moench) accessions in the North-western Region of India. J Appl. Nat. Sci. 16(1): 94. https://doi.org/10.31018/jans.v16i1.5286

2. Badiger, M. and Yadav, R. K. 2018. Genetic variability and association of yield with its component traits in Okra. Indian J. Hortic. 75(4): 713-716.

3. Bambhaniya, U. B., Makwana, S. M., Armi, P. and Raval, L. J. 2024. Studies on genetic variability, heritability and genetic advance in okra (Abelmoschus esculentus (L.) Moench). Int. J. Adv. Biochem. Res. 8(SP 7): 536 540. https://doi.org/10.33545/26174693.2024.v8.i7Sg.1569

4. Behera, A. 2025. Assessment of Genetic Variability and Trait Association in Okra (Abelmoschus esculentus L. Moench). J. Adv. Biol. Biotechnol. 28(6): 10-9734. https://doi.org/10.9734/jabb/2025/v28i62409

5. Deshmukh, K. D., Khandare, V. S., Shridhar, A. K. and Jadhav, S. D. 2023. Genetic variability studies in okra (Abelmoschus esculentus (L.) Moench). Int. J. Stat. Appl. Math. 8(SP-6): 1033–1036.

6. Keerthana, S., Singh, H., Dubey, N., Delvadiya, I. R. and Avinashe, H. 2024. Deciphering multivariate patterns and diversity analysis of yield and associate traits in okra (Abelmoschus esculentus (L.) Moench) accessions of northwestern India. J. Appl. Nat. Sci. 16(4): 1669. https://doi.org/10.31018/jans.v16i4.5962

7. Kumari, M., Solankey, S. S., Akhtar, S. and Neha, P. 2017. Assessment of genetic variability and character association in okra genotypes for yield and contributing characters. J. Appl. Nat. Sci. 9(3): 1825. https://doi.org/10.31018/jans.v9i3.1446

8. Laharika, V., Khandare, V. S., Praveenkumar, G., Wankhade, M. P., Manjima, A. P. and Sharanya, G. 2025. Assessment of variability in F₂ generation of okra (Abelmoschus esculentus L. Moench). Plant Arch. 25(2): 398 402. https://doi.org/10.51470/PLANTARCHIVES.2025.v25.no.2.053

9. Lal, L. and Bahadur, V. 2025. Heritability, correlation and genetic divergence studies in okra (Abelmoschus esculentus (L.) Moench). Int. J. Adv. Biochem. Res. 9(SP-9): 1190–1196. https://www.doi.org/10.33545/26174693.2025.v9.i9So.5666

10. Nanditha, H., Suchitra, V., Bhasker, K., Saravanan, L. and Jyothi, G. 2023. Genetic Variability Studies in Okra [Abelmoschus esculentus (L.) Moench] Germplasm. Int. J. Environ. Clim. Chang. 13(10): 4202-4209. https://doi.org/10.9734/ijecc/2023/v13i103097

11. ND, V., Mahalik, M. K., Behera, T., Talukdar, A., Das, A., Yadav, R. and Lata, S. 2021. Estimation of genetic variability in diverse germplasm of okra [Abelmoschus esculentus (L.) Moench.]. Veg. Sci. 48(02): 188 197. https://doi.org/10.61180/vegsci.2021.v48.i2.10

12. Neeraja, S., Srinivas, J., Joshi, V., Nikhil, B. and Sathish, G. 2025. Genetic divergence studies for yield, yield attributes and quality traits in okra [Abelmoschus esculentus (L.)]. Int. J. Bio-Res. Stress Manage. 16(1): 1-9.

13. Olayiwola, R., Yusuf, R. A., Oyetunde, O. A., Sosanya, O. S. and Ariyo, J. O. 2021. Assessment of genetic variability among accessions of okra (Abelmoschus esculentus L. Moench). Acta Hortic. Regiotecturae 24(2): 141-147. https://doi.org/10.2478/ahr-2021-0036

14. Posit team 2025. RStudio: Integrated Development Environment for R. Posit Software, PBC, Boston, MA. URL http://www.posit.co/.

15. Ranga, A. D. and Darvhankar, M. S. 2022. Diversity analysis of phenotypic traits in okra (Abelmoschus esculentus L. Moench). J. Hortic. Sci. 17(1): 63-72. https://doi.org/10.24154/jhs.v17i1.1214

16. Ranga, A. D., Kumar, S. and Darvhankar, M. S. 2021. Variability among different yield and yield contributing traits of Okra (Abelmoschus esculentus L. Moench) genotypes. Electron. J. Plant Breed. 12(1): 74-81. https://doi.org/10.37992/2021.1201.011

17. Reddy, J. P., Anbanandan, V. and Kumar, B. S. 2025. Determination of Interrelationships and Hierarchical Clustering Analysis among Yield Attributing Biometrical Traits of Okra [Abelmoschus esculentus (L.) Moench] in Coastal Ecosystem. Indian J. Agric. Res. 59(4): 598-606. https://doi.org/10.18805/IJARe.A-5980

18. Singh, R. K., Rai, M., Kumar, A., Dwivedi, S. V. and Kumar, M. 2023. Genetic variability and divergence in okra (Abelmoschus esculentus). Current Hortic. 11(2): 39-43. https://doi.org/10.48165/chr.2023.11.2.19

19. Sravanthi, U., Prabhakar, B. N., Saidaiah, P., Rao, A. M., Narayana, D. L. and Sathish, G. 2022. Genetic divergence studies for yield and quality traits in okra (Abelmoschus esculentus (L.) Moench.). Eco. Env. & Cons. 28: S456 S460. http://doi.org/10.53550/EEC.2022.v28i07s.071

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