Genetic divergence studies for yield and quality traits in white and brown finger millet (Eleusine coracana (L).)
DOI:
https://doi.org/10.58628/JAE-2315-104Keywords:
Finger millet, Genetic Divergence, Principal component analysis, Transgressive segregantsAbstract
The present study assessed the nature and magnitude of genetic variability for yield and quality-related traits in 64 finger millet genotypes for 25 parameters during Kharif, 2020-21 at Agricultural College Farm, Bapatla, Andhra Pradesh. In D2 analysis, the maximum inter-cluster distance was observed between cluster Ⅳ, with white-seeded genotypes and cluster Ⅵ with brown-seeded genotypes indicating these clusters may give a high heterotic response and better segregants. The principal component analysis identified the maximum contributing variables i.e., grain yield per plant, harvest index, fingers per earhead, test weight, peduncle length, seed protein content and seed calcium content in the first principal component. PCA scores of 64 genotypes indicated that genotypes IC0477628, IC0476988, IC0477206, VR1034, IC473950 and IC0477272 are diverse for yield and quality traits and hence hybridization between these genotypes is suggested for generating transgressive segregants.
Downloads
References
Agricultural Statistics at a Glance. 2017-18. Directorate of Economics and Statistics. https://desap.cgg.gov.in.
Banfield CF. 1978. Principal component analysis for gen stat. Journal of Statistics and Computer Simulation, 6: 211-222.
Devi PB, Vijayabharathi R, Sathyabama S, Malleshi NG & Priyadarisini VB. 2014. Health benefits of finger millet (Eleusine coracana (L.)) polyphenols and dietary fibre – a review. Journal of Food Science and Technology, 6 (6): 1021-1040.
Kumar A, Metwal M, Kaur S, Gupta AK, Puranik S & Singh S. 2016. Nutraceutical value of finger millet [Eleusine coracana (L.) Gaertn.], and their improvement using genomics approaches. Frontiers in Plant Science. 7: 934-1033.
Mahalanobis PC. 1928. A statistical study at Chinese head measurement. Journal of Asiatic Society of Bengal, 25: 301-307.
Mahanthesha M, Sujatha M, Pandravada SR & Meena AK. 2017. Study of genetic divergence in finger millet (Eleusine coracana (L.) Gaertn) germplasm. International Journal of Pure and Applied Bioscience. 5(3): 373-377.
Rao CR. 1952. Advanced statistical methods in biometrical research. John Wiley and Sons INC., New York. 357-363.
Samadia DK & Haldhar SM. 2019. Scope and strategies for genetic improvement in vegetable crop-plants under high temperature and abiotic stressed climate of Rajasthan: A gap analysis. Journal of Agriculture and Ecology, 8: 1–18.
Singh U, Kumar S, Archana, Yadav K, Chaman & Sidharth. 2022. Genetic variability and correlation studies in various genotypes of watermelon [Citrullus lanatus (Thunb.) Mansf.]. Journal of Agriculture and Ecology, 13: 65–78. DOI:https://doi.org/10.53911/JAE.2022.13107.
Downloads
Published
How to Cite
Issue
Section
License

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