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Plant Science Today (PST)

Research Articles

Vol. 12 No. sp1 (2025): Recent Advances in Agriculture by Young Minds - II

Assessment of genetic variability parameters and trait association in chilli (Capsicum annuum L.)

DOI
https://doi.org/10.14719/pst.6968
Submitted
30 December 2024
Published
14-09-2025 — Updated on 06-10-2025
Versions

Abstract

A study conducted during the 2022–2023 season evaluated 15 chilli genotypes, including one check variety, to identify those with superior yield and quality traits. The genotypes exhibited significant genetic variability, indicating broad genetic diversity across morphological and yield parameters. Traits such as fruit width (98.77 %), ascorbic acid content (99.83 %), and fruits per plant (99.83 %) showed high heritability and genetic advance, underscoring the predominance of additive genetic effects and highlighting their potential for improvement through selection. Correlation analysis revealed strong positive associations between fruit yield per plot and traits such as fruit weight (0.805 and 0.711), fruit length (0.593 and 0.462), and fruit width (0.676 and 0.572), emphasizing their collective contribution to yield. Path coefficient analysis showed significant direct effects of traits like fruit width, fruit weight, and hundred seed weight on fruit yield. Additionally, principal component analysis (PCA) revealed that the first component was the most influential in explaining the variance. This study stands out by providing detailed insights into the genetic variability of chilli genotypes, offering a more comprehensive understanding compared to previous research. These findings have essential breeding implications, specifically recommending that breeders focus on traits with high heritability and genetic advance, such as fruit width, fruit weight, and ascorbic acid content, to enhance yield and quality. Breeding programs should prioritize these traits for selection to develop high-yielding, nutrient-rich chilli cultivars with improved resilience and consistency. This approach will help accelerate the development of improved chilli varieties, benefiting both commercial production and consumer health.

References

  1. 1. Gokulakrishnan J, Nagaraja C, Prakash M. Genetic variability and correlation studies in chilli (Capsicum annum L.). Plant Arc. 2020;20(1):686–90.
  2. 2. Allard RW. Principles of Plant Breeding. New York:John Wiley and Sons; 1960. 485p.
  3. 3. Bharadwaj DN, Singh H, Yadav RK. Genetic variability and association of component characters for yield in chilli (Capsicum annuum L.). Prog Agric. 2007;7:72–4.
  4. 4. Thakur N, Verma AK, Kaur J, Thakur C, Aakriti. A review on microgreens as an emerging food for health benefits. Ann Phytomed. 2022;11(1):68–77. http://doi.org/10.54085/ap.2022.11.1.7
  5. 5. Thakur N, Kaur J, Kurbah I, Aakriti. Unlocking the potential of biochar: A comprehensive review of enhancing vegetable production in challenging soils. J Plant Nutr. 2024;47(17):2897–912. http://doi.org/10.1080/01904167.2024.2369080
  6. 6. Chakrabarty S, Islam AKM. Selection criteria for improving yield in chilli (Capsicum annuum). Adv Agric. 2017;1–9. https://doi.org/10.1155/2017/5437870
  7. 7. Panse VG, Sukhatme PV, editors. Statistical methods for agricultural workers. New Delhi: Indian Council of Agricultural Research; 1985.
  8. 8. Burton GW, Devane CH. Estimating heritability in tall fescue (Festuca arundinacea) from replicated clonal material. Agron J. 1953;45:478–81. http://doi.org/10.2134/agronj1953.00021962004500100005x
  9. 9. Johnson HW, Robinson HF, Comstock RE. Estimates of genetic and environmental variability in soybean. Agron J. 1955; 47:314–8. http://doi.org/10.2134/agronj1955.00021962004700070009x
  10. 10. Al-Jibouri HA, Muller PA, Robinson HP. Genotypic and environmental variances and covariances in an upland crop of interspecific origin. Agron J. 1958;50(10):633–6. http://doi.org/10.2134/agronj1958.00021962005000100020x
  11. 11. Dewey DR, Lu KH. A correlation and path analysis of components of crested wheat grass seed production. Agron J. 1959;51(9):515–8. http://doi.org/10.2134/agronj1959.00021962005100090002x
  12. 12. Gopinath PP, Prasad R, Joseph B, Adarsh VS. GRAPES: General R shiny-based analysis ``platform empowered by statistics [Internet]. 2020 [cited 2025 Jun 14]. Available from: https://www.kaugrapes.com/home
  13. 13. Jolliffe IT. Principal component analysis. 2nd ed. New York: Springer; 2002.
  14. 14. Chavan DL, Waskar DP, Khandare VS, Mehtre SP. Correlation and coefficient analysis in chilli (Capsicum annuum L.) Int J Curr Microbiol Appl Sci. 2021;10:1848–51. https://doi.org/10.20546/ijcmas.2021.1002.219
  15. 15. Dewey DR, Lu KH. A correlation and path coefficient analysis of components of crested wheat grass seed production. Agron J. 1959;51:515–8. https://doi.org/10.2134/agronj1959.00021962005100090002x
  16. 16. Jogi MY, Madalageri MB, Pujari RJ, Mallimar MS. Genetic variability studies in chilli (Capsicum annuum L.) for yield and quality attributes. Indian J Ecol. 2015;42:247–50.
  17. 17. Johnson HW, Robinson HF, Comstock RE. Estimates of genetic and environmental variability in soybean. Agron J. 1955;47:314–8. https://doi.org/10.2134/agronj1955.00021962004700070009x
  18. 18. Lata H, Sharma A. Evaluation, genetic variability, correlation and path analysis studies in chilli (Capsicum annuum L.) genotypes. Himachal J Agric Res. 2022;48:56–64.
  19. 19. Pandit MK, Adhikary S. Variability and heritability estimates in some reproductive characters and yield in chilli (Capsicum annuum L.). Int J Plant Soil Sci. 2014;3:845–53. https://doi.org/10.9734/ijpss/2014/7236
  20. 20. Sha K, Madhavan S. Evaluation of growth and yield of chilli (Capsicum annuum L.) for the coastal region of Cuddalore district. Int J Appl Adv Sci Res. 2016;1:252–3.
  21. 21. Singh S, Joshi AK, Vikram A, Kansal S, Singh S. Studies on genetic variability and character association in chilli genotypes (Capsicum annuum L.). Int J Econ Plants. 2022;9:323–7. https://doi.org/10.23910/2/2022.0494
  22. 22. Sonaniya R, Singh SK, Shukla RS, Bagde VP. Determination of phenols, ascorbic acid, capsaicin and colour values in chilli (Capsicum annuum L.). Pharma Innov J. 2022;11:801–8. https://doi.org/10.22271/tpi.2022.v11.i8i.14748
  23. 23. Tilahun T, Bezie Y, Petros Y, Dessalegn Y, Taye M. Correlation and path coefficient analysis of green pod yield and yield attributing traits of chilli (Capsicum annum L.) genotypes in Ethiopia. All Life. 2022;15:203–10. https://doi.org/10.1080/26895293.2022.2037472
  24. 24. Thakur N, Dogra BS, Kaur J, Kumar R. Study on genetic variability and heritability in cherry tomato (Solanum lycopersicum var. cerasiforme) for yield and quality traits. Agric Res J. 2022;59(6):1026–33. http://doi.org/10.5958/2395-146X.2022.00144.2
  25. 25. Kadwey S, Dadiga A, Prajapati S. Genotypes' performance and genetic variability studies in hot chilli (Capsicum annum L.). Indian J Agric Res. 2016;50(1):56–60. http://doi.org/10.18805/ijare.v0iOF.7105
  26. 26. Shimeles A, Bekele A, Dagne W. Genetic variability and association of characters in Ethiopian hot pepper (Capsicum annum L.) landraces. J Agric Sci. 2016;61(1):1–8. https://doi.org/10.2298/jas1601019a
  27. 27. Janaki M, Naram L, Naidu C, Rao M. Assessment of genetic variability, heritability and genetic advance for quantitative traits in chilli (Capsicum annuum L.). Int Q J Life Sci. 2015;10(2):73–8.
  28. 28. Bekele B, Petros Y, Oljira T, Andargie M. Genotypes' performance and genetic variability studies in hot pepper (Capsicum annum L.). Trends Curr Biol. 2023;1(1):1–12. http://doi.org/10.14719/tcb.2863
  29. 29. Shumbulo A, Nigussie M, Alamerew S. Correlation and path coefficient analysis of hot pepper (Capsicum annuum L.) genotypes for yield and its components in Ethiopia. Adv Crop Sci Technol. 2017;5(3):1–5. http://doi.org/10.4172/2329-8863.1000277
  30. 30. Yatung T, Dubey RK, Singh V, Upadhyay G, Pandey AK. Selection parameters for fruit yield and related traits in chilli (Capsicum annuum L.). Bangladesh J Bot. 2014;43(3):283–91. https://doi.org/10.3329/bjb.v43i3.21600
  31. 31. Kannan D, Singh DK, Singh SK, Palanisamy A. Genetic variability and agronomic performance studies in chilli (Capsicum annum L.). SAARC J Agric. 2016;14(2):56–62. http://doi.org/10.3329/sja.v14i2.31245
  32. 32. Chaudhari VM, Singh OB, Gouthami NS, Thakur N, Singh R, Singh S, et al. Unlocking the nutritional power of vegetables: A guide to vibrant health. Eur J Nutr Food Saf. 2024;16(8):247–61. http://doi.org/10.9734/ejnfs/2024/v16i81512
  33. 33. Kumar TH, Patil HB. Genetic variability studies in green chilli (Capsicum annuum L.). Int J Chem Stud. 2020;8(4):2460–3. https://doi.org/10.22271/chemi.2020.v8.i4ab.10004
  34. 34. Sahu LS, Trivedi JT, Sharma DS. Genetic variability, heritability and divergence analysis in chilli (Capsicum annuum L.). Plant Arch. 2016; 16:445–8.
  35. 35. Rahevar PM, Patel JN, Kumar S, Acharya RR. Morphological, biochemical and molecular characterization for genetic variability analysis of Capsicum annuum. Vegetos. 2019; 32:131–41. https://doi.org/10.1007/s42535-019-00016-5
  36. 36. Hasan R, Akand M, Alam N, Bashar A, Huque AM. Genetic association analysis and selection indices for yield attributing traits in available chilli (Capsicum annuum L.) genotypes. Mol Plant Breed. 2016;7(19):1–9. http://doi.org/10.5376/mpb.2016.07.0019.
  37. 37. Thakur N, Dogra BS, Kaur J, Harish BM. Genetic diversity and morpho-physiological traits in cherry tomato genotypes in north-western Himalayas. Bangladesh J Bot. 2025;54(1):105–11. https://doi.org/10.3329/bjb.v54i1.80310

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