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Early Access

Genetic variability and trait association studies in celosia accessions for growth and yield characters

DOI
https://doi.org/10.14719/pst.7281
Submitted
18 January 2025
Published
08-03-2025
Versions

Abstract

Improving the yield and other characteristics of a crop requires an understanding of the type and extent of variability present in the plant material as well as the relationships between the traits. This study focuses on thirty-five accessions of Celosia species, evaluated for genetic variability in 19 quantitative and qualitative traits, to understand the associations between these characters and their contribution to flower yield. The objective of the work was to investigate the genetic variability and association between traits to rationally improve the yield of Celosia species. The data used in this study were assessed at 70 days after transplanting (DAT) to complete flowering in all Celosia accessions for its growth and yield. From the results of the analysis, the trait, single flower weight had the larger estimates of GCV (41.9 %) and PCV (46.29 %) of all parameters that were recorded. For most traits examined, higher estimates of heritability were recorded, particularly for plant spread (E-W) (99 %), while significant genetic advance per mean was in single flower weight (78.14 %). Leaf length (0.34) and seed weight (0.81) showed a significant positive correlation with the number of flowers per plant, indicating strong potential for increasing yield. The parameters like plant height (0.8132) and leaf length (0.7602) had the most direct impact on flower yield, according to the path analysis results. Based on this conclusion, it appears that Celosia species can be improved by analyzing the features acquired from selection criteria based on genetic parameters and employing them for improved crop yield in future breeding works.

References

  1. Woo K, Ko J, Song S, Lee J, Kang J, Seo M. Antioxidant compounds and antioxidant activities of the methanolic extracts from Cockscomb (Celosia cristata L.) flowers. Planta Med. 2011;77(12):PM78. https://doi.org/10.1055/s-0031-1282836
  2. Surse S, Shrivastava B, Sharma P, Sharma J, Gide P. Pharmacognostic standardisation of whole plant of Celosia argentea var. cristata (L). Int J Pharm Res Scholars. 2014;3(3):387-92.
  3. Rubini D, Sudhahar D, Anandaragopal K. Phytochemical investigation and anthelmintic activity of Celosia cristata leaf extract. Int Res J Pharm. 2012;3(5):3353-6.
  4. Wang Y, Lou Z, Wu QB, Guo ML. A novel hepatoprotective saponin from Celosia cristata L. Fitoterapia. 2010;81(8):1246-52. https://doi.org/10.1016/j.fitote.2010.08.011
  5. De Bao WDG, Jie X, Qin W. The nutritional components of Celosia cristata L cv Plumosa. J Plant Resour. Environ. 1994;3(3):32-5.
  6. Gholizadeh A, Kapoor H. Modifications in the purification protocol of Celosia cristata antiviral proteins lead to protein that can be N-terminally sequenced. Protein Pept. Lett. 2004;11(6):551-61. https://doi.org/10.2174/0929866043406210
  7. Oyetunde OA, Olayiwola MO, Osho BT. Genetic diversity and trait profiles of some amaranthus genotypes. Adv Hortic Sci. 2021;35(3):277-84. https://doi.org/10.36253/ahsc-10523
  8. Saikia J, Shadeque A, Bora G. Genetic studies in cucumber. 2. Heritability and genetic advance of yield components. Haryana J Hortic Sci. 1995;24:73-76. https://www.cabidigitallibrary.org/doi/full/10.5555/19971601163
  9. Burton GW. Quantitative inheritance in grasses. Proceedings of 6th International Grassland Congress; 1952 17–23; August Pennsylvania State College. 1: 277-283.
  10. Lush JL. Intra-sire correlations or regressions of offspring on dam as a method of estimating heritability of characteristics. J Anim Sci. 1940;1:293-301. https://doi.org/10.2527/jas1940.19401293x
  11. Johnson HW, Robinson HF, Comstock RE. Estimates of genetic and environmental variability in soybeans. Agron J. 1955;47:314-18. http://doi.org/10.2134/agronj1955.00021962004700070009x
  12. Dewey DR, Lu K. A correlation and path?coefficient analysis of components of crested wheatgrass seed production. Agron J. 1959;51(9):515-18. https://doi.org/10.2134/agronj1959.00021962005100090002x
  13. Kumar S, Kumar M, Singh MK, Kumar S, Kumar S. Variability study in chrysanthemum (Dendranthema grandiflora Tzvelev). Progr. Agric. 2015;47(2):271-74.
  14. https://doi.org/10.5958/2249-5258.2015.00049.4
  15. Rajib Roychowdhury RR, Jagatpati Tah JT. Evaluation of genetic parameters for
  16. agro-metrical characters in carnation genotypes. Afr Crop Sci J. 2011;19:183-88.
  17. Hallauer AR, Carena MJ, Miranda Filho JD. Quantitative genetics in maize breeding. Springer Science & Business Media[e-book]. Springer New York, NY. 2010. https://doi.org/10.1007/978-1-4419-0766-0
  18. Oyetunde OA, Otusanya GO, Lawal IT, Oduntan AO, Olalekan OJ. Genetic diversity, discriminant and trait association analyses of accessions. Acta Hortic. Regiotecturae. 2022;25(2):189-96. https://doi.org/10.2478/ahr-2022-0023
  19. Singh KP, Raju D, Prasad K, Bharadwaj C. Studies on genetic variability, heritability and genetic advance in French marigold (Tagetes patula) genotypes. J Ornam Hortic. 2009;12(1):30-4.
  20. Patel M, Chawla S, Chavan S, Shah H, Patil SD. Genetic variability, heritability and genetic advance studies in marigold (Tagetes spp.) under the South Gujarat region. Electron J Plant Breed. 2019;10(1):272-76.
  21. Panwar S, Singh KP, Namita N. Assessment of variability, heritable components and grouping of Indian rose. Indian J Agric Sci. 2012;82(10):875-80. https://doi.org/10.56093/ijas.v82i10.24180
  22. Rashmi R, Chandrashekar S. Evaluation of genetic variability, heritability and genetic advances in gladiolus (Gladiolus hybridus L.) genotypes. The Bioscan. 2016;11(3):1829-32.
  23. Naik BH. Correlation studies in carnation (Dianthus caryophyllus L.). Journal of Horticultural Sciences. 2014;9(1):38-42. https://doi.org/10.24154/jhs.v9i1.216
  24. Olawuyi O, Bamigbegbin B, Bello O. Genetic variation of morphological and yield characters of Celosia argentea L. germplasm. J Basic Appl Sci Int. 2016;13:160-69.
  25. Naikwad D, Kandpal K, Patil M, Hugar A, Kulkarni V. Correlation and path analysis in China aster [Callistephus chinensis (L.) Nees]. Int J Curr Microbiol Appl Sci. 2018;7(2):3353-62. https://doi.org/10.20546/ijcmas.2018.702.401
  26. Zafar SA, Aslam M, Khan H, Sarwar S, Rehman RS, Hassan M et al. Estimation of genetic divergence and character association studies in local and exotic diversity panels of soybean (Glycine max L.) genotypes. Phyton. 2023;92(6). https://doi.org/10.32604/phyton.2023.027679
  27. Kumar S, Kumar R, Gupta R, Sephia R. Studies on correlation and path-coefficient analysis for yield and its contributing traits in cucumber. Crop improv. 2011;38(1):18-23.
  28. Krishna H, Taj A. Genetic variability, Correlation and Path analysis studies in thirty Hibiscus rosa-sinensis L. Genotypes for yield and its attributes. Agron J. 2022; 47:314-18.
  29. Visalakshi M, Muthulakshmi R, Ganga M, Thamaraiselvi SP, Ganesh S, Vasanth S. Studies on correlation analysis, path analysis and genetic diversity in Rosa (Rosa spp.). Plant Sci Today. 2024;11(3). https://doi.org/10.14719/pst.4017

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