Skip to main content
Log in

Generation mean analysis reveals insights into yield attributing traits in rice (Oryza sativa L.) under drought and irrigated environments

  • Research Articles
  • Published:
Vegetos Aims and scope Submit manuscript

Abstract

This study aims to improve rice productivity amid climate challenges by analyzing two rice crosses over six generations to identify resilient genotypes through generation mean analysis. In both irrigated and drought conditions, most traits exhibited significance in both crosses. Cross 1 (ADT 45 × APD 19,002) displayed duplicate epistasis in traits like flowering time, plant height, panicle and flag leaf length, and single plant yield. These traits showed dominant and dominant x dominant gene interactions. Cross 2 (CO 54 × APD 19,002) exhibited duplicate gene interactions in traits such as tiller numbers, panicle length, flag leaf width, total number of grains, spikelet fertility and thousand grain weight. Additionally, additive and additive x additive effects were significant in specific traits and conditions for both crosses. These findings emphasize the possibility of improving rice varieties through delayed selection in later generation, emphasizing integrate selection with drought tolerance for high-yielding drought-resistant rice.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Akhtar S, Bhat MA, Wani SA, Bhat KA, Chalkoo S, Mir MR, Wani SA (2010) Marker assisted selection in rice. Journal of Phytology 2(10)

  • Awasthi S, Lal JP (2014) Investigating phenotypic correlation and path analysis in rice (Oryza sativa L.) under irrigated and rainfed conditions. Int J Sci Footprints 2(5):22–33

    Google Scholar 

  • Donde R, Gupta MK, Gouda G, Kumar J, Vadde R, Sahoo KK, Behera L (2019) Computational characterization of structural and functional roles of DREB1A, DREB1B and DREB1C in enhancing cold tolerance in rice plant. Amino Acids 51:839–853

    Article  CAS  PubMed  Google Scholar 

  • FAOSTAT (2022) Statistical Database. https://www.fao.org/faostat/en/#data/QCL

  • Ganapati RK, Rasul MG, Sarker U, Singha A, Faruquee M (2020) Gene action of yield and yield contributing traits of submergence tolerant rice (Oryza sativa L.) in Bangladesh. Bull Natl Res Centre 44:1–7

    Article  Google Scholar 

  • Gobu R, Lal JP, Anandan A (2021) Generation mean analysis for yield and drought tolerant traits under rainfed and irrigated conditions in rice (Oryza sativa L). Int J Env Clim Change 11(11):170–178

    Article  Google Scholar 

  • Gouda G, Gupta MK, Donde R, Mohapatra T, Vadde R, Behera L (2020) Marker-assisted selection for grain number and yield-related traits of rice (Oryza sativa L). Physio mole bio Plants 26:885–898

    Article  CAS  Google Scholar 

  • Hao Z, Vijay PS, Youlong X (2018) Seasonal drought prediction: advances, challenges, and future prospects. Rev Geophys 56(1):108–141

    Article  Google Scholar 

  • Hassan MA, Dahu N, Hongning T, Qian Z, Yueming Y, Yiru L, Shimei W (2023) Drought stress in rice: morpho-physiological and molecular responses and marker-assisted breeding. Front Pl Sci 14:1215371. https://doi.org/10.3389/fpls.2023.1215371

    Article  Google Scholar 

  • Hayman BI (1960) The separation of epistatic from additive and dominance variation in generation menas. II Genetica 4:371–390

    Google Scholar 

  • Hayman BI, Kenneth M (1955) The description of genic interactions in continuous variation. Biometrics 11(1):69–82

    Article  Google Scholar 

  • Hill WG, Trudy FC (2004) DS Falconer and introduction to quantitative genetics. Genetics 167(4):1529–1536

    Article  PubMed  PubMed Central  Google Scholar 

  • Hua JP, Xing YZ, Xu CG, Sun XL, Yu SB, Zhang Q (2002) Genetic dissection of an elite rice hybrid revealed that heterozygotes are not always advantageous for performance. Genetics 162(4):1885–1895

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Jinks JL, Morley RJ (1958) Estimation of the components of heterosis. Genetics 43(2):223

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Kacharabhai PS (2015) Genetic analysis of yield and its components traits in rice (Oryza sativa L). Electron J Pl Bre 6(1):19–25

    Google Scholar 

  • Kadam NN, Tamilselvan A, Lawas LM, Quinones C, Bahuguna RN, Thomson MJ, Jagadish SK (2017) Genetic control of plasticity in root morphology and anatomy of rice in response to water deficit. Plant Physiol 174(4):2302–2315. https://doi.org/10.1104/pp.17.00500

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Kumar M, Kumar K, Verma GP, Verma OP (2010) Combining ability analysis for yield and component traits under saline-alkali soil in rice. Oryza 47(3):193–200

    Google Scholar 

  • Kumari A, Senapati BK, Aich AR, Singh AP (2021) Estimation of gene action and interaction for some quantitative characters in rice (Oryza sativa L.) by generation mean analysis. Int J Bio-resource Stress Manage 12(6):737–744

    Article  CAS  Google Scholar 

  • Manivannan N (2014) TNAUSTAT-Statistical package https://sites.google.com/site/tnaustat

  • Muthuvijayaragavan R, Murugan E (2017) Generation Mean Analysis for Yield and Salinity Tolerance in Rice (Oryza sativa L). Int J Curr Micro App Sci 6(9):2249–2257

    Article  Google Scholar 

  • Nayak R, Singh VK, Singh AK, Singh PK (2016) Genetic variability, character association and path analysis of rice genotypes. Annals Pl Soil Res 18(2):161–164

    Google Scholar 

  • Oladosu Y, Rafii MY, Samuel C, Fatai A, Magaji U, Kareem I, Kamarudin ZS, Muhammad II, Kolapo K (2019) Drought resistance in rice from conventional to molecular breeding: a review. Int J of moler sci 18;20(14):3519

  • Pandey V, Shukla A (2015) Acclimation and tolerance strategies of rice under drought stress. Rice Sci 22(4):147–161

    Article  Google Scholar 

  • Ramamoorthy P, Manonmani S, Robin S (2018) Studies on yield, root characters related to drought tolerance and their association in upland rice genotypes. Elect J Pl Bre 9(3):856–862

    Article  Google Scholar 

  • Singh RK (2019) Gene Action and Generation Mean Analysis for Yield and its component traits in Indica Rice (Oryza sativa L). Int J Gen ISSN:0975–2862

    Google Scholar 

  • Singh RK, Chaudhary BD (1977) Biometrical methods in quantitative genetic analysis. Biometrical methods in quantitative genetic analysis Kalyani publisher 304pp

  • Singh AG, Patel PB (2020) Generation mean analysis for yield and its components in rice (Oryza Sativa L). J Pharma Innov 9:473–477

    CAS  Google Scholar 

  • Solanke AC, Patel PB, Patel PK (2019) Generation mean analysis for yield and it’s contributing traits in aromatic rice (Oryza sativa L). Pharma Innov J 28(8):05–09

    Google Scholar 

  • Thirumeni S, Subramanian M, Paramasivam K (2001) Genetics of salt tolerance in rice (Oryza sativa L). Indian J Gene Pl Breed 63(01):75–76

    Google Scholar 

  • Todaka D, Zhao Y, Yoshida T, Kudo M, Kidokoro S, Mizoi J, Kodaira KS, Takebayashi Y, Kojima M, Sakakibara H, Toyooka K (2017) Temporal and spatial changes in gene expression, metabolite accumulation and phytohormone content in rice seedlings grown under drought stress conditions. Plant J 90(1):61–78. https://doi.org/10.1111/tpj.13468

    Article  CAS  PubMed  Google Scholar 

  • Yogameenakshi P, Vivekanandan P, Nadarajan N (2019) Genetic effects of yield and root parameters in rice (Oryza sativa L.) at reproductive stage drought stress as apportioned by generation mean analysis. ORYZA-An Int J Rice 56(2):175–184

    Article  Google Scholar 

Download references

Acknowledgements

I would like to extend my heartfelt gratitude to all authors for their invaluable guidance, and the Department of Rice, Center for Plant Breeding and Genetics, Tamil Nadu Agricultural University for their support throughout this study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pushpam Ramamoorthy.

Ethics declarations

Conflict of interest

The authors declare the no conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kathiresan, P.K., Ramamoorthy, P. & Subramanian, S. Generation mean analysis reveals insights into yield attributing traits in rice (Oryza sativa L.) under drought and irrigated environments. Vegetos (2024). https://doi.org/10.1007/s42535-024-00958-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s42535-024-00958-5

Keywords

Navigation