Unveiling the genetic variability and principal component analysis for yield andyield attributing traits in brinjal
DOI:
https://doi.org/10.24154/jhs.v21i1.4324Keywords:
Brinjal, genetic advance, genetic variability, heritability, principal component analysisAbstract
An experiment was conducted to assess 435 brinjal accessions for various growth and yield-related traits, in augmented randomized complete block design comprising five blocks. Traits such as plant spread, leaf length, leaf width, fruit length, fruit breadth, yield per plant, and average fruit weight exhibited high genotypic and phenotypic coefficients of variation. In contrast, plant height, number of fruits per plant, days to 50% flowering, and 100-seed weight displayed moderate levels of GCV and PCV. Except for the number of primary branches per plant, all traits showed high heritability and substantial genetic gain, indicating that additive gene effects predominantly govern these traits and that selection would be effective. Principal component analysis identified four major components with eigen values equal to or greater than one, accounting for 63.85% of the total variation. The promising accessions, such as IC-0285124, IC-0603134, IC-0261835, IC-0126664, IC-0126729, IC-012667, IC-0398177, IC-0127025, IC-0211841, IC-0510495, IC-0126840, IC-0126803, IC-01266841, IC-01266877, IC-0146670, IC-0261873, IC-0126836 and IC-0126769 identified for yield & yield attributing traits.
Downloads
References
Alekhya, C., & Namboodiri, R. V. (2024). Exploring genetic diversity in brinjal (*Solanum melongena* L.): Insights from *D²* analysis and principal component analysis. *Journal of Tropical Agriculture, 62*, 65–71.
Aravind, J., Sankar, M. S., Dharma Prakash, P. W., & Kaur, V. (2018). *AugmentedRCBD: Analysis of augmented randomized complete block designs* (R package Version 0.1.0). GitHub. https://aravind-j.github.io/augmentedRCBD/
Indiastat. (2023). *Statistical data: Agriculture*. https://www.indiastat.com
Johnson, H. W., Robinson, H. F., & Comstock, R. E. (1955). Estimates of genetic and environmental variability in soybean. *Agronomy Journal, 47*, 314–318. https://doi.org/10.2134/agronj1955.00021962004700070009x
Kousalya, R., Praneetha, S., Irene Vethamoni, P., Ravichandran, V., Iyanar, K., & Varanavasiappan, S. (2024). Unveiling the genetic variability, character association and principal component analysis for yield and yield contributing traits in brinjal (*Solanum melongena*) genotypes. *Indian Journal of Agricultural Sciences, 94*(10), 1039–1044. https://doi.org/10.56093/ijas.v94i10.152248
Le, S., Josse, J., & Husson, F. (2008). FactoMineR: An R package for multivariate analysis. *Journal of Statistical Software, 25*, 1–17. https://doi.org/10.18637/jss.v025.i01
Lush, J. L. (1940). Intra-sire correlations or regressions of offspring on dam as a method of estimating heritability of characteristics. *Proceedings of the American Society of Animal Production, 33*(1), 293–301. https://doi.org/10.2527/jas1940.19401293x
Nagar, K. L., Rana, D. K., Barela, A., & Rahangdale, S. (2024). Study of genetic diversity and genetic advance in brinjal for morpho-economic traits (*Solanum melongena* L.). *International Journal of Environment and Climate Change, 14*(3), 437–444. https://doi.org/10.9734/ijecc/2024/v14i34054
Prashant, Yadav, G. C., Singh, D. B., Tiwari, A., & Singh, N. K. (2024). Estimation of genetic diversity using *D²* and PCA in brinjal (*Solanum melongena* L.). *Journal of Advances in Biology and Biotechnology, 27*(6), 542–549. https://doi.org/10.9734/jabb/2024/v27i111638
Ramesh Kumar, S., Arumugam, T., & Ulaganathan, V. (2016). Genetic diversity in eggplant germplasm by principal component analysis. *SABRAO Journal of Breeding and Genetics, 48*(1), 162–171.
Rathod, D., Tandel, T., Sarkar, M., Ahlawat, T. R., Patel, A. I., Vashi, J. M., Bambharolia, R. P., Varshney, N., Emmi, S., & Chaudhari, B. N. (2024). Genetic variability analysis in brinjal (*Solanum melongena* L.). *International Journal of Advanced Biochemistry, 8*, 4–6. https://doi.org/10.33545/26174693.2024.v8.i1Sa.275
Savankumar, N., Patel, R. C., Popat, P. A., Patel, & Vekariya, R. D. (2018). Genetic diversity analysis in brinjal (*Solanum melongena* L.) genotypes: A principal component analysis approach. *International Journal of Current Microbiology and Applied Sciences, 7*, 3296–3301. https://doi.org/10.20546/ijcmas.2018.701.392
Sharma, J. R. (1998). *Statistical and biometrical techniques in plant breeding*. New Age International (P) Limited Publishers.
Soumya, B. K., Deo, C., Singh, S., Bhutia, N. D., Tayeng, T., Hazarika, B. N., Debbarma, A., Sakhamo, K., & Dutta, R. (2023). Genetic variability studies in brinjal (*Solanum melongena* L.) for quantitative and qualitative characters. *International Journal of Environment and Climate Change, 13*(10), 4463–4473. https://doi.org/10.9734/ijecc/2023/v13i103124
Sreevandana, K., & Jana, J. C. (2024). Studies on genetic variability, heritability and genetic advance for yield and its attributed traits in brinjal (*Solanum melongena* L.). *International Journal of Environment and Climate Change, 14*(3), 275–282. https://doi.org/10.9734/ijecc/2024/v14i44115
Tabasum, S., Nazir, G., Hussain, K., Ali, G., Nazir, N., Mushtaq, F., Hussain, Z., & Arizoo. (2024). Analysis of genetic variability and heritability in brinjal (*Solanum melongena* L.) genotypes. *Journal of Advances in Biology and Biotechnology, 27*(3), 198–205. https://doi.org/10.9734/jabb/2024/v27i4754
Vankalas, C. N., Khapte, P. S., Agale, M. G., Shitole, P. A., & Shinde, G. S. (2024). Genetic variability studies in brinjal (*Solanum melongena* L.). *International Journal of Advanced Biochemistry, 8*(1), 1241–1245. https://doi.org/10.33545/26174693.2024.v8.i10p.2728
Vavilov, N. I. (1931). The role of Central Asia in the origin of cultivated plants. *Bulletin of Applied Botany, Genetics and Plant Breeding, 26*, 43–44.
Published
Data Availability Statement
None
Issue
Section
License
Copyright (c) 2026 T H Singh, S Pandey, D Pandey Chaitra, K. Tiwari Shailesh (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors retain copyright. Articles published are made available as open access articles, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original author and source are credited. 
This journal permits and encourages authors to share their submitted versions (preprints), accepted versions (postprints) and/or published versions (publisher versions) freely under the CC BY-NC-SA 4.0 license while providing bibliographic details that credit, if applicable.
