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

Research Articles

Early Access

Genetic variability and character association study on cooking quality attributing traits and DUS characters of rice genotypes in Southern Odisha

DOI
https://doi.org/10.14719/pst.9953
Submitted
10 June 2025
Published
19-11-2025
Versions

Abstract

Rice (Oryza sativa L.) is a staple food crop of global importance, with grain quality traits playing a crucial role in consumer preference. Distinctness, Uniformity and Stability (DUS) testing, alongside the evaluation of cooking quality parameters to assess the extent of genetic variability and to determine character association study among cooking attributing traits. So, a study was conducted during the Kharif season (2024-25) at the Post Graduate Research Farm of Centurion University of Technology and Management, Odisha, to evaluate 45 rice genotypes for DUS and cooking quality traits using Randomised Complete Block Design with three replications. Analysis of variances revealed significant variance for kernel length, kernel length after cooking, seed protein content and amylose content. High heritability and high genetic advance as a percentage of the mean (GAM) were noted for all the characters, indicating the presence of additive gene action. Path coefficient analysis revealed that kernel length had the highest positive direct effect on kernel linear elongation ratio, while kernel length after cooking showed a very high negative effect. Positive correlations between kernel linear elongation ratio and seed protein content, amylose content and kernel length affirm their influence. Ketki Joha and Shilkote recorded with maximum kernel breadth and kernel breadth after cooking, respectively. Highest protein content exhibited by Bygon manjira, amylose content raised high for PB1886, kernel linear elongation ratio shown by Nefbi julsi. Kernel length and amylose content emerged as the pivotal, highly heritable traits defining rice cooking quality, offering clear prospects for breeding premium grain quality.

References

  1. 1. Garris AJ, Tai TH, Coburn J, Kresovich S, Susan M. Genetic structure and diversity in Oryza sativa L. Genetics. 2005;169(3):1631–8. https://doi.org/10.1534/genetics.104.035642
  2. 2. McLaren CG, Bruskiewich RM, Portugal AM, Cosico AB. The International Rice Information System. A platform for meta-analysis of rice crop data. Plant Physiol. 2005;139(2):637–42. https://doi.org/10.1104/pp.105.063438
  3. 3. Liu H, Rao D, Guo T, Gangurde SS, Hong Y, Chen M. Whole genome sequencing and morphological trait-based Evaluation of UPOV Option 2 for DUS testing in rice. Front Genet. 2022;13:945015. https://doi.org/10.3389/fgene.2022.945015
  4. 4. Dixit D, Siddiqui N, Bollinedi H, Krishnan G, Malik A, Bhowmick PK, et al. Assessment of agro-morphological traits, grain physical and physico-chemical properties in the Indian aromatic rice (Oryza sativa) germplasm. Indian J Agric Sci. 2022;92(9):1157–61. https://doi.org/10.56093/ijas.v92i9.124304
  5. 5. Kalagare VS, Saxena RR, Rawte S. Morphological characterization of super core rice (Oryza sativa L.) germplasm using DUS description. Int J Chem Stud. 2018;6(3):2465–9.
  6. 6. Nirmaladevi G, Padmavathi G, Kota S, Babu VR. Genetic variability, heritability and correlation coefficients of grain quality characters in rice (Oryza sativa L.). SABRAO J Breed Genet. 2015;47(4):424–33.
  7. 7. Bhargavi B, Suneetha Y, Violina JA, Thati S, et al. Genetic variability and trait associations for quality traits in high protein landraces of rice. Scientist. 2022:861–72. https://doi.org/10.14719/pst.2091
  8. 8. IRRI. Alkali digestion. Los Banos, Manila, Philippines: International Rice Research Institute (IRRI); 2013. p. 46.
  9. 9. Lowry OH, Rosebrough NJ, Farr AL, Randall RJ. Protein measurement with the Folin phenol reagent. J Biol Chem. 1951;193(1):265–75. https://doi.org/10.1016/S0021-9258(19)52451-6
  10. 10. Murty PS, Govindaswami S. Inheritance of grain size and its correlation with the hulling and cooking qualities. Oryza. 1967;4(1):12–21.
  11. 11. Fisher RA. The design of experiments. Edinburgh: Oliver and Boyd; 1935.
  12. 12. Sivasubramaniam S, Madhava Menon P. Genotypic and phenotypic variability in rice. Madras Agric J. 1973;60(12):1093–6.
  13. 13. Johnson HW, Robinson HF, Comstock RE. Estimates of genetic and environmental variability in soybeans. Agron J. 1955;47:314–8. https://doi.org/10.2134/agronj1955.00021962004700070009x
  14. 14. Lenka D, Misra B. Path-coefficient analysis of yield in rice varieties. Ind J Agric Sci. 1973:376–9.
  15. 15. Hussain S, Bordoloi D, Choudhury MR, Taye RR, Khan P. Morphological Characterization of Aromatic Rice of Assam. Agricultural Research. 2025;1-2. https://doi.org/10.1007/s40003-025-00868-1
  16. 16. Gayathri NK, Srujana Y, Venkateswarlu NC. DUS characterization of rice (Oryza sativa L.) germplasm. Elect J Plant Breed. 2023;14(1):314–22. https://doi.org/10.37992/2023.1401.024
  17. 17. Manjunatha GA, Elsy CR, Rajendran P, Francies JJ, Krishnan S. DUS Characterization of rice (Oryza sativa L.) landraces of Wayanad, Kerala. Elect J Plant Breed. 2018;9(2):617-30. https://doi.org/10.5958/0975-928X.2018.00076.5
  18. 18. Lavanya K, Chiranjeevi M, Surender R, Aruna Sri Yadav P, Fiyaz AR, Sudhakar P, et al. Characterization of rice traditional varieties (Oryza sativa L.) based on DUS descriptors. Pharma Innov J. 2021;10(3):760–71.
  19. 19. Prasanna GS, Joshi JL, Muraleedharan A. Distinctiveness, uniformity and stability (DUS) characterization in twenty-five landraces of rice (Oryza sativa L.). J Adv Biol Biotech. 2024;27(3):77–84. https://doi.org/10.9734/JABB/2024/v27i3722
  20. 20. Supriya DK, Devi OR, Kumar B, Sharma K, Nengparmoi T. DUS characterization of traditional scented rice (Oryza sativa L.) varieties under organic agriculture. Pharma Innov J. 2023;12(3):1701–5.
  21. 21. Choudhary P, Mishra DK, Koutu GK, Singh SK, Tiwari A. DUS testing of JNPT lines of rice using morphological and quality descriptors. Adv Life Sci. 2016;5(9):3827–35.
  22. 22. Roy SC, Singh L, Sarkar S. Agro morphological characteristics of weedy rice (Oryza sativa f. spontanea): a precious genetic resource for rice improvement. Curr Agric Res J. 2025;11(2). https://doi.org/10.12944/carj.11.2.08
  23. 23. Dhanwani RK, Sarawgi AK, Solanki A, Tiwari JK. Genetic variability analysis for various yield attributing and quality traits in rice (O. sativa L.). Bioscan. 2013;8(4):1403–7.
  24. 24. Devi KR, Chandra BS, Lingaiah N, Hari Y, Venkanna V. Analysis of variability, correlation and path coefficient studies for yield and quality traits in rice (Oryza sativa L.). Agric Sci Dig. 2017;37(1):1–9. https://doi.org/10.18805/asd.v0iOF.7328
  25. 25. Zhang L, Deng B, Peng Y, Gao Y, Hu Y, Bao J. Population structure and genetic diversity of shanlan landrace rice for GWAS of cooking and eating quality traits. Int J Mol Sci. 2024;25(6):3469. https://doi.org/10.3390/ijms25063469
  26. 26. Ramakrishna T, Devi IS, Prasad DS, Shankar M, Supriya D. Understanding gene action and combining ability in rice (Oryza sativa L.) A line × tester analysis approach. J Adv Biol Biotech. 2024;27(12):663–72. https://doi.org/10.9734/jabb/2024/v27i121814
  27. 27. Ram AA, Elsy CR, Beena C. Deciphering variability and genetic parameters in traditional scented rice (Oryza sativa L.) genotypes of Kerala, India. Int J Plant Soil Sci. 2023;35(18):2230–6. http://doi.org/10.9734/ijpss/2023/v35i183515
  28. 28. Singh B, Gauraha D, Sao A, Nair SK. Assessment of genetic variability, heritability and genetic advance for yield and quality traits in advanced breeding lines of rice (Oryza sativa L.). Pharma Innov J. 2021;10(8):1627–30.
  29. 29. Rao ER, Veni BK, Kumar PVR, Rao VS. Assessment of genetic variability for yield and quality characters in rice (Oryza sativa L.). Andhra Agric J. 2017;64(2):339–41.
  30. 30. Subudhi HN, Das S, Swain D, Singh ON. Variability, correlation and path analysis for quality characters in rice. Oryza. 2011;48(4):319–23.
  31. 31. Kondi RK, Kar S, Mandawi NC. Study of genetic parameters, correlation and path analysis for yield and quality characters in fine scented rice genotypes. Oryza. 2022;59(1):20–30. https://doi.org/10.35709/ory.2022.59.1.3
  32. 32. Singh V, Snehi S, Singh PK. Genetic variability, trait association studies for quality trait in short grain aromatic rice (Oryza sativa L.). Pharma Innov J. 2022;11(6):1764–68.
  33. 33. Premkumar R, Gnanamalar RP, Anandakumar CR. Correlation and path coefficient analysis of grain quality traits in rice (Oryza sativa L.). Indian J Agric Res. 2016;50(1):27–32. https://doi.org/10.18805/ijare.v0iOF.8434
  34. 34. Singh SK, Habde S, Singh DK, Khaire A, Mounika K, Majhi PK. Studies on character association and path analysis studies for yield, grain quality and nutritional traits in F2 population of rice (Oryza sativa L.). Elect J Plant Breed. 2020;11(3):969–75. https://doi.org/10.37992/2020.1103.158
  35. 35. Roy A, Hijam L, Roy SK. Genetic variability and character association studies for quality attributing traits in rice (Oryza sativa L.). Elect J Plant Breed. 2021;12(4):1201–8. https://doi.org/10.37992/2021.1204.165

Downloads

Download data is not yet available.