Article Sidebar

Download
PDF
Statistic
Read Counter : 277 Download : 154

Downloads

Download data is not yet available.

Main Article Content

Abstract

The experiment was undertaken to study correlation and path coefficient and relatively importance to yield and its components traits in Okra. The experimental material consisted of six generations (P1, P2, F1, F2, BC1 and BC2) through two crosses, which were evaluated in Completely Randomized Block Design (RCBD) with three replications at the Agriculture Scientific Center in Latakia during the summer of 2020. The result of phenotypic correlation revealed that yield per plant had positively significant correlation with fruit diameter (0.53), positively highly significant correlation with fruit weight (0.65), and negatively highly significant correlation with days for first flowering and days to 50% flowering (-0.56, -0.63), respectively in the first hybrid (Lathkani 6× Lathkani 10). In the second hybrid (Lathkani 7× Lathkani 9), yield per plant has exhibited positively and highly significant correlation with numbers of fruit per plant, numbers of flowers per plant, fruit length, fruit diameter and fruit weight (0.95, 0.96, 0.76, 0.65, 0.64), respectively. The high positively direct effect on yield per plant was contributed by fruit weight followed by days to 50% flowering in the first hybrid. Numbers of fruits per plant had desirably direct effect on yield per plant in the second hybrid. Hence, direct selection based on these traits would result in simultaneous improvement of previously mentioned traits and yield in Okra.

Keywords

Okra Path analysis Phenotypic correlation Relative importance Yield

Article Details

Creative Commons License

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

How to Cite
Nbeaa, R. A. ., Abo-Trabi, B. ., & Ahmad, E. . (2023). Phenotypic Correlation and Path Coefficient and Relative Importance Studies in Okra Abelmoschus esculentus (L.) Moench. Basrah Journal of Agricultural Sciences, 36(1), 50–59. https://doi.org/10.37077/25200860.2023.36.1.05
Download Citation
Endnote/Zotero/Mendeley (RIS)
BibTeX

References

  1. Aminu, D., Bello, O. B., Gambo, B. A., Azeez, A. H., Agbolade, J. O., Abdulhamid, U. A. & Iliyasu, A. (2016). Varietal Performance and Correlation of Okra Pod Yield And Yield Components. Bangladesh J. Pl. Breed. Genet., 29(1), 11-20.
  2. https://doi.org/10.3329/bjpbg.v29i1.33703
  3. Asghari-Zakaria, R., Fathi, M. &amp Hasan-Panah, D. (2006). Sequential Path Analysis of Yield Components in Potato. Potato Res. 49, 273–279. https://doi.org/10.1007/s11540-007-9022-9
  4. Dewey, D., & Lu, K. (1959). A correlation and path coefficient analysis of components of crested wheatgrass seed production. Agronomy Journal, 51, 515-518.
  5. https://doi.org/10.2134/agronj1959.00021962005100090002x
  6. Ibrahim, E., Abed, M., & Moghazy, A. (2013). Genetic behavior of families selected from some local Okra (Abelmoschus esculentus L. Moench) populations in Egypt. Plant Breeding and Biotechnology, 1(4), 396-405.
  7. http://dx.doi.org/10.9787/PBB.2013.1.4.396
  8. Kang, M. S., Miller, J. D., & Tai, P. Y. P. (1983). Genetic and phenotypic path analyses and heritability in sugarcane. Crop Sciences, 23(4), 643-647.
  9. https://doi.org/10.2135/cropsci1983.0011183X002300040010x
  10. Mistry, P. (2013). Generation mean analysis in Okra [Abelmoschus esculentus (L.) Moench]. Agricultural Science Digest, 33(1), 21-26.
  11. https://pubag.nal.usda.gov/catalog/7097891
  12. Nirosha, K., Vethamoni, P. I., & Sathiyamurthy, V. A. (2014). Correlation and Path Analysis Studies in Okra [Abelmoschus esculentus (L.) Moench]. Agricultural Science Digest, 34(4), 313-315. https://doi.org/10.5958/0976-0547.2014.01029.5
  13. Rai, M., Singh, R.K., Sharma, V., Mishra, A. C., & Dwivedi, S. V. (2022). Studies on Interrelationship and Path Coefficient Analysis in Okra [Abelmoschus esculentus (L.) Moench]. Indian Journal of Agricultural Research, Article Id: A-5963.
  14. https://arccjournals.com/journal/indian-journal-of-agricultural-research/A-5963
  15. Rajani, A., Naidu, L., Madhavi, Y., & Srikanth, D. (2022). Path coefficient analysis studies in okra [Abelmoschus esculentus (L.) Moench]. The Pharma Innovation International Journal, 11(2), 2050-2053.
  16. https://www.thepharmajournal.com/archives/?year=2022&vol=11&issue=2&ArticleId=10934
  17. Rashwan, A.M.A. (2011). Study of Genotypic and Phenotypic Correlation for Some Agro-Economic Traits in Okra (Abelmoschus esculents (L.) Moench). Asian Journal of Crop Science, 3(2), 850-91.
  18. https://doi.org/10.3923/ajcs.2011.85.91
  19. Salih, Y. A., & Mansoor, N. M. (2019). A study of the effect of Bioagent Trichoderma harzianum Rifai, the fungicide topsin-m and their interaction on root rot disease of Okra Abelmoschus esculentus in the field. Basrah Journal Agriculture Sciences, 32(2), 320-336.
  20. https://doi.org/10.37077/25200860.2019.280
  21. Samim, S., Sood, S., Singh, A., Verma, A., & Kaur, A., (2018). Morphological Characterization of Okra [Abelmoschus esculentus (L.) Moench]. Int.J.Curr.Microbiol.App.Sci, 7(10), 2011-2019.
  22. https://doi.org/10.20546/ijcmas.2018.710.232
  23. Shivaramegowda, K.D., Krishnan, A., Jayaramu, Y.K., Kumar, V., Yashoda, & Koh, H. (2016). Genotypic variation among okra (Abelmoschus esculentus (L.) Moench) germplasms in South India. Plant Breeding and Biotechnology, 4(2), 234-241.
  24. https://doi.org/10.9787/PBB.2016.4.2.234
  25. Singh, N., Singh, D. K., Pandey, P., Panchbhaiya, A., & Rawat, M. (2017). Correlation and Path Coefficient Studies in Okra [Abelmoschus esculentus (L.) Moench]. International Journal of Current Microbiology and Applied Sciences, 6(7), 1096-1101.
  26. https://doi.org/10.20546/ijcmas.2017.607.132
  27. Snedecor, G., & Cochran, W. (1981) Statistical methods. 6th Edition, Iowa Stat. Univ., Press. Ames, Iowa, 503pp.
  28. Sravanthi, U., Prabhakar, B., Saidaiah, P., Rao, A., Narayana, D., & Sathish, G. (2021). Correlation and pathanalysis studies in okra [Abelmoschus esculentus (L.) Moench]. The Pharma Innovation Journal, 10(10), 761-766.
  29. https://www.thepharmajournal.com/archives/?year=2021&vol=10&issue=10&ArticleId=8184
  30. Worley, S., Culp, T.W. & amp; Harrell, D. C. (1974). The relative contributions of yield components to lint yield of upland cotton, Gossypium hirsutum L. Euphytica, 23, 399–403.
  31. https://doi.org/10.1007/BF00035885
  32. Yora, M., Syukur, M., & Sobir, S. (2018). Characterization of phytochemicals and yield components in various okra (Abelmoschus esculentus) genotypes. Biodiversitas Journal of Biological Diversity, 19(6), 2323-2328.
  33. https://doi.org/10.13057/biodiv/d190641