Insights into the genetic basis of yield and its components in rice (Oryza sativa L.) through generation mean analysis

Authors

  • Raiza Christina G Department of Plant breeding and genetics, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai 625 104, India https://orcid.org/0009-0000-0617-1095
  • N Aananthi Department of Plant breeding and genetics, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai 625 104, India https://orcid.org/0000-0003-4928-2662
  • M Gunasekaran Department of Plant breeding and genetics, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai 625 104, India https://orcid.org/0000-0002-3244-6379
  • R P Gnanamalar Department of Plant breeding and genetics, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai 625 104, India https://orcid.org/0000-0003-4720-7511
  • S Merina Prem kumari Department of Biotechnology, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai 625 104, India https://orcid.org/0000-0001-5995-8879
  • R Amutha Department of Seed Science and Technology, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai 625 104, India https://orcid.org/0000-0002-1313-4660
  • P Saravana Pandian Department of Soils and Environment, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai 62 5104, India https://orcid.org/0009-0008-4384-8112

DOI:

https://doi.org/10.14719/pst.7438

Keywords:

genetic effects, low P tolerance, salinity tolerance, scaling test

Abstract

Generation mean analysis conducted was to recognize the inheritance patterns of yield-related traits in rice populations developed from crosses between salinity-tolerant (Saltol 1 QTL) and phosphorus (P) starvation-tolerant (Pup1 QTL) backcross inbred lines. The study involved four crosses: BIL33 × C16-1-2-8, BIL752 × D5-1-3-2-1, BIL1094 × C16-1-2-8 and BIL1102 × D5-1-3-2-1, aimed at developing multiple stress-tolerant versions of CR 1009 Sub1 and ADT 37 varieties. Six generations - Pt1, Pt2, F1, F2, BC1 F and BC2F were evaluated for thirteen quantitative traits during Kharif 2023-2024 at Agricultural College and Research Institute, TNAU, Madurai. Scaling tests revealed significant epistatic interactions for most traits across crosses. Grain yield showed complementary epistasis with significant interaction effects in all crosses, while traits like plant height and flag leaf characteristics displayed varying patterns of gene action. The existence of both additive and non-additive gene effects raises the possibility that selection may be postponed to future generations. The study advises maintaining larger populations during the initial generations and applying pedigree selection from the F4 generation onward to achieve effective trait enhancement. These findings provide valuable insights for developing breeding strategies to pyramid salinity and phosphorus starvation tolerance in rice varieties.

Downloads

Download data is not yet available.

Author Biography

R Amutha, Department of Seed Science and Technology, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Madurai 625 104, India

 

 

References

Fukagawa NK, Ziska LH. Rice: Importance for global nutrition. J Nutr Sci Vitaminol (Tokyo). 2019;65(Supplement):S2-3.

https://doi.org/10.3177/jnsv.65.S2

Kumar N, Chhokar RS, Meena RP, Kharub AS, Gill SC, Tripathi SC et al. Challenges and opportunities in productivity and sustainability of rice cultivation system: a critical review in Indian perspective. Cereal Res Commun. 2021;1-29.

https://doi.org/10.1007/s42976-021-00214-5

Hayman BI. The separation of epistatic from additive and dominance variation in generation means. 1958.

https://doi.org/10.1038/hdy.1958.36

Banumathy S, Veni K, Anandhababu R, Arunachalam P, Raveendran M, Thiyageshwari S. Evaluation of saltol introgressed back cross inbred lines for salinity tolerance in rice (Oryza sativa L.). Electronic Journal of Plant Breeding. 2018;9(2):638-49.

https://doi.org/10.5958/0975-928X.2018.00078.9

Jinks JL, Jones RM. Estimation of the components of heterosis. Genetics. 1958;43(2):223. https://doi.org/10.1093/genetics/43.2.223

Mather K. Biometrical genetics. Dover publication Inc. New York. 1949.

Manivannan N. TNAUSTAT-Statistical package. 2014.

Gobu R, Prakash Lal J, Anandan A. Generation mean analysis for yield and drought tolerant traits under rainfed and irrigated conditions in rice (Oryza sativa L.). 2021. https://doi.org/10.9734/ijecc/2021/v11i1130530

Duppala MK, Srinivas T, Suneetha Y, Suresh G. Generation Mean Analysis for quantitative traits in the population of AKDRMS 21-54 x YH3 cross of rice (Oryza sativa L.). Evaluation. 2023;1(2):3.

Kumari A, Senapati BK, Aich AR, Singh AP. Estimation of gene action and interaction for some quantitative characters in rice (Oryza sativa L.) by generation mean analysis. International Journal of Bio-resource and Stress Management. 2021;12(6):737-44. https://doi.org/10.23910/1.2021.2465

Sreelakshmi C, Babu PR. Genetic analysis of yield and quality traits through generation mean analysis in rice. ORYZA-An International Journal on Rice. 2019;56(3):256-62. https://doi.org/10.35709/ory.2019.56.3.2

Lingaiah N, Raju CS, Radhika K, Sarla N, Venkanna V, Reddy DVV. Estimation of gene effects through generation mean analysis in elite rice (Oryza sativa L.) crosses. Journal of Experimental Biology and Agricultural Sciences. 2020;8(1):15-20.

https://doi.org/10.18006/2020.8(1).15.20

Solanke AC, Patel PB, Patel PK. Generation mean analysis for yield and it's contributing traits in aromatic rice (Oryza sativa L.). The Pharma Innovation Journal. 2019;8(8):5-9. https://doi.org/10.20546/ijcmas.2020.908.184

Singh AG, Patel PB. Generation mean analysis for yield and its components in rice (Oryza sativa L.). The Pharma Innovation Journal. 2020;9(10):473-7. https://doi.org/10.22271/tpi.2020.v9.i10e.5252

Published

22-03-2025 — Updated on 01-04-2025

Versions

How to Cite

1.
Raiza Christina G, Aananthi N, Gunasekaran M, Gnanamalar RP, Merina PKS, Amutha R, Saravana Pandian P. Insights into the genetic basis of yield and its components in rice (Oryza sativa L.) through generation mean analysis. Plant Sci. Today [Internet]. 2025 Apr. 1 [cited 2025 Apr. 3];12(2). Available from: https://horizonepublishing.com/journals/index.php/PST/article/view/7438

Issue

Section

Research Articles

Most read articles by the same author(s)