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Plant Science Today (PST)

Research Articles

Early Access

Gene action studies of yield-contributing traits in groundnut (Arachis hypogaea L.) through generation mean analysis

DOI
https://doi.org/10.14719/pst.9044
Submitted
23 April 2025
Published
04-12-2025

Abstract

Peanuts (Arachis hypogaea L.) are a vital leguminous crop that is grown for both their oil and edible seeds. It is essential to research the gene activity of groundnut features that contribute to yield in order to create effective breeding plans that will increase quality and productivity. The current study was performed in Kharif 2024 at Department of Oilseeds, Tamil Nadu Agricultural University, Coimbatore. Six parameter generation mean analysis was performed for two crosses, Cross I (VRI 9 × Girnar 5) and Cross II (BSR 2 × Girnar 5), were evaluated with three parental lines: VRI 9, BSR 2 and Girnar 5. Results show that additive and dominance gene actions influence trait inheritance. Additive x additive interaction played a key role in all the traits in both crosses except days to 50 % flowering and single plant yield in cross II. Similarly, additive x dominance interaction influenced days to 50 % flowering, no. of pods per plant, no. of mature pods per plant, shelling percentage and oil content in cross I. Whereas shelling percentage along with test weight in cross II. Dominance x dominance interaction was seen in all the traits except no. of mature pods per plant in cross I and days to 50 % flowering and primary branches of cross II. These results provide important information for comprehending genetic interactions in groundnut breeding projects and for creating practical plans to enhance yield and other agronomic characteristics over the course of multiple generations.

References

  1. 1. Shasidhar Y, Variath MT, Vishwakarma MK, Manohar SS, Gangurde SS, Sriswathi M, et al. Improvement of three popular Indian groundnut varieties for foliar disease resistance and high oleic acid using SSR markers and SNP array in marker-assisted backcrossing. Crop J. 2020;8(1):1-5. https://doi.org/10.1016/j.cj.2019.07.001
  2. 2. Mondal S, Badigannavar AM, Kale DM, Murty GS. Induction of genetic variability in a disease resistant groundnut breeding line. Newsletter, Founders Day Spec. 2007;285.
  3. 3. Mythili SR, Manivannan N, Kalaimagal T, Paranidharan V, Janaki P. Identification of an effective genotyping assay for marker assisted selection of high oleic acid content trait in groundnut (Arachis hypogea L.). Electron J Plant Breed. 2023;14(4):1285-92. https://doi.org/10.37992/2023.1404.147
  4. 4. Barkley NA, Isleib TG, Wang ML, Pittman RN. Genotypic effect of ahFAD2 on fatty acid profiles in six segregating peanut (Arachis hypogaea L.) populations. BMC Genet. 2013;14:62. https://doi.org/10.1186/1471-2156-14-62
  5. 5. Wynne JC. Use of accelerated generation increase programs in peanut breeding. Proc Am Peanut Res Educ Assoc. 1976;8:44-7.
  6. 6. Patidar OP, Nadaf HL. An assessment of genetic variability and traits association among high oleic advanced breeding lines for yield and quality traits in groundnut (Arachis hypogaea L.). Electron J Plant Breed. 2017;8(1):201-5. https://doi.org/10.5958/0975-928X.2017.00029.1
  7. 7. Manivannan N. TNAUSTAT-Statistical package. Tamil Nadu Agricultural University; 2014. https://sites.google.com/site/tnaustat
  8. 8. Patel DK, Patel A, Patel CJ, Jat AL. Generation mean analysis for seed yield and wilt resistance in castor (Ricinus communis L.). Indian J Agric Res. 2024;58(2):215-8.
  9. 9. Pathak S, Pant U, Yadav VN, Mishra A. Analysis of genetic architecture through generation mean analysis for yield and yield contributing traits in crosses of Indian mustard (Brassica juncea). J Adv Biol Biotech. 2024;27(8):462-70. https://doi.org/10.9734/jabb/2024/v27i81158
  10. 10. Gaoh BS, Gangashetty PI, Mohammed R, Dzidzienyo DK, Tongoona P. Generation mean analysis of pearl millet [Pennisetum glaucum (L.) R. Br.] grain iron and zinc contents and agronomic traits in West Africa. J Cereal Sci. 2020;96:103066. https://doi.org/10.1016/j.jcs.2020.103066
  11. 11. Yadav S, Singh SP, Singhal T, Anju-Mahendru S, Bhargavi HA, Aavula N, et al. Genetic elucidations of grain iron, zinc and agronomic traits by generation mean analysis in pearl millet [Pennisetum glaucum (L.) R. Br.]. J Cereal Sci. 2023;113:103751. https://doi.org/10.1016/j.jcs.2023.103751
  12. 12. Hayman BI. The separation of epistatic from additive and dominance variation in generation means. II. Genetica. 31(1):133-46. https://doi.org/10.1007/BF01984430
  13. 13. Upadhyaya HD, Nigam SN. Inheritance of two components of early maturity in groundnut (Arachis hypogaea L.). Euphytica. 1994;78:59-67. https://doi.org/10.1007/BF00021398
  14. 14. Prabhu R, Manivannan N, Mothilal A, Ibrahim SM. Gene action for yield and yield attributes by generation mean analysis in groundnut (Arachis hypogaea L.). Int J Agric Environ Biotechnol. 2016;9(1):5-15. https://doi.org/10.5958/2230-732X.2016.00002.4
  15. 15. Jayalakshmi V, Reddy GL. Generation mean analysis for certain quantitative characters in groundnut. Agric Sci Digest. 2003;23(4):255-8.
  16. 16. Lavudya S, Thiyagarajan K, Ramasamy S, Sankarasubramanian H, Muniyandi S, Bellie A, et al. Insights from gene effects on agronomic, oleic acid and oil content using generation mean analysis in sunflower (Helianthus annuus L.). Plant Sci Today. 2025;12(sp1). https://doi.org/10.14719/pst.6030
  17. 17. Boraiah KM, Goud IS, Gejli K, Somasekar CR, Vetriventhan M. Combining ability and gene action for yield and yield contributing traits in groundnut (Arachis hypogaea L.). Legume Res. 2015;38(4):546-50. https://doi.org/10.5958/0976-0571.2015.00062.4
  18. 18. Ajay BC, Meena HN, Singh AL, Dagla MC, Kumar N, Bera SK, et al. Generation mean analysis of yield and mineral nutrient concentrations in peanut (Arachis hypogaea L.). J Oilseeds Res. 2018;35(1):14-20. https://doi.org/10.56739/jor.v35i1.137347
  19. 19. Sadgar T, Amolic V, Shinde GC, More SR, Thange V, Mate P, et al. Gene action study for yield and yield contributing characters in groundnut, Arachis hypogaea L. 2024;24(1):1143-50. https://doi.org/10.51470/PLANTARCHIVES.2024.v24.no.1.158
  20. 20. Kurapati S, Kommineni R, Variath MT, Manohar SS, Vemulapalli P, Vemireddy LN, et al. Localization and gene action studies for kernel iron and zinc concentration in groundnut (Arachis hypogaea L.). Euphytica. 2021;217:1-5. https://doi.org/10.1007/s10681-021-02872-2
  21. 21. Daniel OS, Wilberforce AO, Henderick EJ. Estimating the inheritance of drought-tolerance and yield-associated traits of groundnut (Arachis hypogaea L.) using generation mean and variance analysis of parental, F1 and the segregating populations (backcrosses and F2). Global J Agric Sci. 2025;24(1):7-28. https://doi.org/10.4314/gjass.v24i1.2

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