Genetic variability and trait association studies in celosia accessions for growth and yield characters
DOI:
https://doi.org/10.14719/pst.7281Keywords:
breeding, correlation, estimates, heritability, improvement, selectionAbstract
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.
Downloads
References
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
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.
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.
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
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.
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
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
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
Burton GW. Quantitative inheritance in grasses. Proceedings of 6th International Grassland Congress; 1952 17–23; August Pennsylvania State College. 1: 277-283.
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
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
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
Kumar S, Kumar M, Singh MK, Kumar S, Kumar S. Variability study in chrysanthemum (Dendranthema grandiflora Tzvelev). Progr. Agric. 2015;47(2):271-74.
https://doi.org/10.5958/2249-5258.2015.00049.4
Rajib Roychowdhury RR, Jagatpati Tah JT. Evaluation of genetic parameters for
agro-metrical characters in carnation genotypes. Afr Crop Sci J. 2011;19:183-88.
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
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
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.
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.
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
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.
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
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.
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
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
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.
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.
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
Downloads
Published
Versions
- 01-04-2025 (2)
- 08-03-2025 (1)
How to Cite
Issue
Section
License
Copyright (c) 2025 Priyadharsini R, Rajadurai K R, Beaulah A, Madhan Mohan M, Venkatesan K, Rajesh S
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright and Licence details of published articles
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Open Access Policy
Plant Science Today is an open access journal. There is no registration required to read any article. All published articles are distributed under the terms of the Creative Commons Attribution License (CC Attribution 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited (https://creativecommons.org/licenses/by/4.0/). Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
