Skip to main navigation menu Skip to main content Skip to site footer

Research Articles

Vol. 13 No. 3 (2026)

Integrated phenotypic and DNA barcoding analysis of Brassica genotypes

DOI
https://doi.org/10.14719/pst.13065
Submitted
4 December 2025
Published
08-07-2026 — Updated on 15-07-2026
Versions

Abstract

Brassica junceae (L.) Czern. (Indian mustard) plant is one of the world’s most vital agricultural crops that is also known as cruciferous oilseed crops. This study characterises ten Brassica genotypes from Rajasthan, India, using integrated morphological, biochemical and molecular approaches. Nine morphological traits were assessed using a randomized complete block design (RCBD) with 3 replicates. Biochemical profiling was assessed and quantified for glucosinolates, antioxidants, β-carotene, vitamin E, erucic acid and oil content. The DNA barcoding genes matK and rbcL loci, were analysed through Sanger sequencing following through phylogenetic reconstruction (UPGMA/ML/NJ; Kimura 2-parameter model). Principal component analysis (PCA) further explains 69.2 % morphological variation, with yield components dominating in PC1. Control genotype PM-21 exhibited superior performance (199 siliqua/plant, 5.56 cm siliqua length, 5.485 g yield), while control genotype PM-30 showed relatively high β-carotene (2.315 ppm) and vitamin E (25.17 mg/g). Parallelly glucosinolate content ranges from 15.7–83.7 µmol/g. Genetic parameters revealed moderate to high GCV (16–29 %) and PCV (32–72 %). The DNA barcoding confirms the species identity (99–100 %, GenBank; ON556533-ON556542). This study identifies a promising genotype (PM-21, PM-30) for better yield and nutritional breeding for preliminary single-location characterisation. Future research should integrate these nuclear markers simple sequence repeats (SSRs)/single nucleotide polymorphisms (SNPs) and multi-location trials to translate this variation into practical breeding applications.

References

  1. 1. Sharma P, Kumar S. Molecular characterization of Brassica cultivars using matK and rbcL gene sequences. J Plant Sci. 2020;35(2):123–34.
  2. 2. Wang Y, Li F. Genetic characterization of Brassica rapa using chloroplast DNA sequences. Theor Appl Genet. 2018;131(2):301–10.
  3. 3. Gupta R, Singh V. Phylogenetic analysis of Brassica species through rbcL and matK gene markers. Plant Mol Biol Rep. 2019;37(3):221–29.
  4. 4. Chen X, Li Y, Zhang Q. Genetic diversity assessment in Brassica using matK and rbcL molecular markers. Mol Phylogenet Evol. 2021;56(5):412–23.
  5. 5. Patel M, Desai R. Comparative genomics of Brassica cultivars using chloroplast DNA sequences. Plant Syst Evol. 2018;304(1):77–85.
  6. 6. Montgomery DC. Design and analysis of experiments. 10th ed. Hoboken (NJ): Wiley; 2019.
  7. 7. Ambaw YD, Abitea AG, Olango TM, Aboye BM. Agromorphological and physiological trait diversity in Ethiopian mustard (Brassica carinata A. Braun) germplasm. Adv Agric. 2024; Article ID 2398294. https://doi.org/10.1155/aia/2398294
  8. 8. Sharma D, Nanjundan J, Singh L, Sharma P, Singh KH, Thakur AK. Genetic diversity in leafy mustard (Brassica juncea var. rugosa) as revealed by agro-morphological traits and SSR markers. Physiol Mol Biol Plants. 2020;26:2005–18. https://doi.org/10.1007/s12298-020-00883-2
  9. 9. Saroj R, Soumya SL, Singh S, Srivastava N, Prasad M, Singh M. Unraveling the relationship between seed yield and yield-related traits in a diversity panel of Brassica juncea using multi-traits mixed model. Front Plant Sci. 2021;12:651936. https://doi.org/10.3389/fpls.2021.651936
  10. 10. Joshi BK. Indigenous seeds, seed selection and seed bank for sustainable agriculture. Grassroots J Nat Resour. 2021;4:13–26. https://doi.org/10.33002/nr2581.6853.040402
  11. 11. Akabari VR, Niranjana M. Genetic variability and trait association studies in Indian mustard (Brassica juncea). Int J Agric Sci. 2015;11:35–39.
  12. 12. Smaili O, Chebouti-Meziou N, Scollo F, Sottile F, Bouslama M, Chenchouni H. Evaluation of the morphological and physicochemical diversity of carob (Ceratonia siliqua, Fabaceae) germplasm from Algeria. Forests. 2024;15:1423. https://doi.org/10.3390/f15081423
  13. 13. Yadav D, Singh L, Jafri SKF, Babu RS, Kumar R, Verma RK. Study on genetic variability and principal component analysis in Indian mustard [Brassica juncea (L.) Czern and Coss]. Int J Adv Biochem Res. 2025;9:7–10. https://doi.org/10.33545/26174693.2025.v9.i5Sa.4284
  14. 14. Chacko A, Jayalekshmy VG, Shahiba AM. Studies on PCV, GCV, heritability and genetic advance in rice genotypes for yield and yield components. Int J Plant Soil Sci. 2023;35:324–30. https://doi.org/10.9734/ijpss/2023/v35i163266
  15. 15. Volpi SS, Debon R, Biduski D, Antunes DR, Dallacosta L, De Marchi ACM. Experiência do usuário com aplicativo de saúde: um estudo piloto na rede pública da região Norte do Rio Grande do Sul. Rev Interfaces. 2022;10:1211–20. https://doi.org/10.16891/2317-434X.v9.e3.a2021.pp1211-1220
  16. 16. Bibi T, Rauf S, Mahmood T, Haider Z, Din SU. Genetic variability and heritability studies in relation to seed yield and its component traits in mustard (Brassica juncea L.). Acad J Agric Res. 2016;4:478–82. https://doi.org/10.15413/ajar.2016.0177
  17. 17. Alam MA, Rahman M, Ahmed S, Rafii MY, Latif MA, Malek MA, et al. Genetic variation and genotype by environment interaction for agronomic traits in maize (Zea mays L.) hybrids. Plants. 2022;11:1522. https://doi.org/10.3390/plants11111522
  18. 18. Zhang X, Jia Q, Jia X, Liu Y, Zhang H, Li W. Brassica vegetables—An undervalued nutritional goldmine. Hortic Res. 2024;12:uhae302. https://doi.org/10.1093/hr/uhae302
  19. 19. HagosAbraha R, Shaibu AS, Liang J, Kidane YG, Tesfaye K, Geleta M. Characterization and evaluation of the morphological attributes of Ethiopian mustard (Brassica carinata A. Braun) landraces. Euphytica. 2024;220:30. https://doi.org/10.1007/s10681-023-03284-0
  20. 20. Singh J, Kanaujia R, Srivastava AK, Singh SP, Kushwaha HR, Singh RK. Genetic variability for iron and zinc as well as antinutrients affecting bioavailability in black gram (Vigna mungo L.). J Food Sci Technol. 2017;54:1035–42. https://doi.org/10.1007/s13197-017-2548-1
  21. 21. Sriraj P, Gurjar D. Studies of genetic variability, heritability and genetic advance in yield component traits in chickpea (Cicer arietinum L.). Int J Environ Clim Change. 2022;12(11):1805–10. https://doi.org/10.9734/ijecc/2022/v12i1131166
  22. 22. Li X, Wen D, He Y, Zhang Y, Liu W, Chen F. Progresses and prospects on glucosinolate detection in cruciferous plants. Foods. 2024;13:4141. https://doi.org/10.3390/foods13244141
  23. 23. Tutuş R, Kahraman A, Memon A. Comparative phylogenetic analysis of key chloroplast and nuclear DNA regions of some Brassica species. Genet Resour Crop Evol. 2025. https://doi.org/10.1007/s10722-025-02458-0

Downloads

Download data is not yet available.