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

Research Articles

Vol. 12 No. 3 (2025)

Parent progeny regression analysis of herbicide-tolerant rice (Oryza sativa L.) developed through marker-assisted selection

DOI
https://doi.org/10.14719/pst.8631
Submitted
2 April 2025
Published
17-06-2025 — Updated on 01-07-2025
Versions

Abstract

Weed infestation poses a significant challenge to the adoption of direct-seeded rice (DSR), leading to substantial yield losses. This study involved introgression of imazethapyr herbicide tolerance into ADT 55 rice variety using the ethyl methane sulfonate-induced mutant Robin HTM as a donor. Phenotypic evaluation with imazethapyr herbicide spray demonstrated the transfer of herbicide tolerance locus into the ADT 55 background. Additionally, the research focuses on assessing the inheritance of key agronomic traits in F2 and F3 generations following initial crosses and marker-assisted selection. The findings revealed positive intergenerational correlations and significant regression coefficients for traits such as plant height and the number of productive tillers, indicating stable inheritance of these traits. Moderate to low heritability values suggest the possible influence of non-additive gene action or environmental variance, reducing the effectiveness of early-generation selection for certain traits. The development of herbicide-tolerant rice varieties offers a promising strategy for effective weed management in DSR, reducing reliance on manual weeding and minimizing yield losses. This approach contributes to more sustainable and efficient rice production systems.

References

  1. 1. Chauhan BS, Johnson DE. Ecological studies on Echinochloa crus-galli and the implications for weed management in direct-seeded rice. Crop Protection. 2011;30(11):1385-91. https://doi.org/10.1016/j.cropro.2011.07.013
  2. 2. Till BJ, Cooper J, Tai TH, Colowit P, Greene EA, Henikoff S, et al. Discovery of chemically induced mutations in rice by TILLING. BMC Plant Biology. 2007;7:19. https://doi.org/10.1186/1471-2229-7-19
  3. 3. Collard BC, Mackill DJ. Marker-assisted selection: an approach for precision plant breeding in the twenty-first century. Philosophical Transactions of the Royal Society B: Biological Sciences. 2008;363(1491):557-72. https://doi.org/10.1098/rstb.2007.2170
  4. 4. Ausubel FM, Brent R, Kingston RE, Moore DD, Seidman JG, Smith JA, et al. Short protocols in molecular biology. Vol. 275. New York: John Wiley & Sons; 1992. p. 28764-73.
  5. 5. Shoba D, Raveendran M, Manonmani S, Utharasu S, Dhivyapriya D, Subhasini G, et al. Development and genetic characterization of a novel herbicide (Imazethapyr) tolerant mutant in rice (Oryza sativa L.). Rice. 2017;10:10. https://doi.org/10.1186/s12284-017-0151-8
  6. 6. Smith JD, Kinman ML. The use of parent-off spring regression as an estimator of heritability. Crop Science. 1965;5(6):595-6. https://doi.org/10.2135/cropsci1965.0011183X000500060035x
  7. 7. Grover N, Kumar A, Yadav AK, Gopala Krishnan S, Ellur RK, Bhowmick PK, et al. Marker assisted development and characterization of herbicide tolerant near isogenic lines of a mega Basmati rice variety, “Pusa Basmati 1121”. Rice. 2020;13:68. https://doi.org/10.1186/s12284-020-00423-2
  8. 8. Mythili SR, Manonmani S, Pushpam R, Raveendran M. Testing the efficacy of the herbicide tolerant rice mutant (Robin) under direct seeded cultivation. EJPB. 2020;11(03):848-53. https://doi.org/10.37992/2020.1103.141
  9. 9. Viswabharathy S, Kalaimagal T, Manonmani S, Jeyakumar P, Raveendran M. Estimation of narrow sense heritability in early segregating generations of rice introgressed with Sub1 QTL. EJPB. 2023;14(3):912-22. https://doi.org/10.37992/2023.1403.103
  10. 10. Aananthi N. Inter generation trait association and regression analysis in F2 and F3 generations of rice. IJCMAS. 2018;7(8):3651-62. https://doi.org/10.20546/ijcmas.2018.708.370
  11. 11. Savitha P, Kumari RU. Studies on skewness, kurtosis and parent progeny regression for yield and its related traits in segregating generations of rice. ORYZA-An International Journal on Rice. 2015;52(2):80-6.
  12. 12. Kavithamani D, Robin S, Manonmani S, Mohanasundaram K. Character association and parent progeny regression studies for yield and its related traits in segregating generations of TGMS rice (Oryza sativa L.). Madras Agricultural Journal. 2013;100:36-41. https://doi.org/10.29321/maj.10.001233
  13. 13. Blessy V, Murugan E, Suresh R, Gnanamalar RP, Kumar SV, Kanchana S. Parent progeny regression analysis for yield and yield contributing traits in F3 and F4 generations in rice (Oryza sativa L.). IJBSM. 2022;13(10):1021-8. https://doi.org/10.23910/1.2022.3196
  14. 14. Seeli FP, Manonmani S, Pushpam R, Raveendran M. Parent progeny regression analysis in segregating generations of drought QTLs pyramided rice lines (Oryza sativa L.). EJPB. 2021;12(4):1178-88. https://doi.org/10.37992/2021.1204.162
  15. 15. Anushya Ravi, Bharathi A, Sudha M, Rajeswari S, Manonmani S, Pushpam R, et al. Development of herbicide-tolerant lines through marker assisted backcross breeding. Plant Science Today. 2025;12(2):1-7. https://doi.org/10.14719/pst.7595

Downloads

Download data is not yet available.