Inheritance pattern of Qualitative traits, Genetic analysis and association of yield attributes in F2 populations of Rice (Oryza sativa)

Authors

DOI:

https://doi.org/10.18006/2024.12(3).435.445

Keywords:

Rice, F2 segregants, Inheritance, Skewness and Kurtosis, Genetic estimates

Abstract

Understanding the extent of genetic variability within the segregating generations is crucial for identifying superior segregants with high yield and better market acceptability. Thus, the present study was carried out to quantify the extent of genetic variation available in the segregating population of rice. Three crosses, viz., CO 55 × IC 457996, CO 55 × IC 464685, and CO 55 × IC 115439 were evaluated using a non-randomized experimental design for six yield attributing and two physical grain quality traits in F2 generation. The inheritance pattern of basal leaf sheath colour and grain colour in CO 55 × IC 115439 indicate digenic complementary gene interaction (9:7), whereas grain colour in CO 55 × IC 464685 exhibits inhibitory gene action (13:3). The positively skewed nature of productive tillers per plant and single-plant yield in the F2 segregants emphasizes the need for intensive selection to facilitate rapid improvement due to the influence of complementary gene action. Moderate to high GCV with high heritability and GAM for traits such as plant height, productive tillers per plant, hundred seed weight, grain width, and single-plant yield in the F2 segregants underscore the prevalence of additive gene action and thus provide the most effective condition for simple phenotypic selection. Moreover, productive tillers per plant and single-plant yield showed a strong positive association in all the crosses. Therefore, productive tillers per plant can be considered an indicator trait when selecting high-yielding segregants for grain yield improvement.

References

Bassuony, N. N., Zsembeli, J., Juhász, C., & Elshenawy, M. M. (2022). Estimation of genetic variability and frequency distribution in F2 generation of rice under normal and deficit water supply. Cereal Research Communications, 50, 489-500. https://doi.org/10.1007/s42976-021-00185-7 DOI: https://doi.org/10.1007/s42976-021-00185-7

Bin Rahman, A. R., & Zhang, J. (2023). Trends in rice research: 2030 and beyond. Food and Energy Security, 12(2), e390.https://doi.org/10.1002/fes3.390 DOI: https://doi.org/10.1002/fes3.390

Burton, G. W. (1952). Quantitative inheritance in grasses. Proceedings of Sixth International Grassland Congress, 1, 277-283.

Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of eugenics, 7(2), 179-188. https://doi.org/10.1111/j.1469-1809.1936.tb02137.x DOI: https://doi.org/10.1111/j.1469-1809.1936.tb02137.x

Fisher, R. A., Immer, F. R., & Tedin, O. (1932). The genetical interpretation of statistics of the third degree in the study of quantitative inheritance. Genetics, 17(2), 107. https://doi.org/10.1093/genetics/17.2.107 DOI: https://doi.org/10.1093/genetics/17.2.107

Johnson, H. W., Robinson, H. F., & Comstock, R. E. (1955). Estimates of genetic and environmental variability in soybeans. Agronomy Journal, 47, 314-318. DOI: https://doi.org/10.2134/agronj1955.00021962004700070009x

Kalaivani, A., Pushpam, R., Suresh, R., Raveendran, M., & Senthil, A. (2023). Genetic variability and association studies for yield and quality characters in BC3F2 generation of rice (Oryza sativa L.). Electronic Journal of Plant Breeding, 14(3), 1118-1126. https://doi.org/10.37992/2023.1403.134 DOI: https://doi.org/10.37992/2023.1403.134

Khush, G.S. (2013). Strategies for increasing the yield potential of cereals: case of rice as an example. Plant Breeding, 132 (5), 433-436. DOI: https://doi.org/10.1111/pbr.1991

Koide, Y., Sakaguchi, S., Uchiyama, T., Ota, Y., Tezuka, A., et al. (2019). Genetic properties responsible for the transgressive segregation of days to heading in rice. G3: Genes, Genomes, Genetics, 9(5), 1655-1662.https://doi.org/10.1534/g3.119.201011 DOI: https://doi.org/10.1534/g3.119.201011

Kumar, M. B., Vidyadhar, B., Anuradha, C., Chary, D. S., Aravind, A., et al. (2023). Genetic Variability, Heritability and Genetic Advance in F2 Segregating Population of Cross RNR-15048 x Dokra-Dokri in Rice (Oryza sativa L.). International Journal of Environment and Climate Change, 13(12), 965-972. https://doi.org/10.9734/ijecc/2023/v13i123760 DOI: https://doi.org/10.9734/ijecc/2023/v13i123760

Lestari, A. P., Sopandie, D., & Aswidinnoor, H. (2015). Panicle length and weight performance of F3 population from local and introduction hybridization of rice varieties. Hayati Journal of Biosciences, 22(2), 87-92. https://doi.org/10.4308/hjb.22.2.87 DOI: https://doi.org/10.4308/hjb.22.2.87

Lush, J. L. (1940). Intra-sire correlations or regressions of offspring on dam as a method of estimating heritability of characteristics. Journal of Animal Science, 1940(1), 293-301. https://doi.org/10.2527/jas1940.19401293x

Muthuvijayaragavan, R., & Jebaraj, S. (2022). Correlation and path coefficient analysis in F2 families of rice (Oryza sativa L.) under direct seeded condition. Journal of Genetics, Genomics and Plant Breeding, 6(2), 44-53.

Nofal, R. S., Bassuony, N. N., & Gaballah, M. M. (2024). Genetic Analysis to Improve Rice (Oryza sativa L) Grain Yield Attributes and Quality Traits. Journal of Plant Production, 15(4), 197-206.https://doi.org/10.21608/jpp.2024.282761.1327 DOI: https://doi.org/10.21608/jpp.2024.275948.1319

Pandey, D., Subedi, L. P., & Sharma, R.C. (2016). Inheritance of anthocyanin pigmentation in interspecific cross of rice (Oryza sativa L. × O. rufipogon Griff). Azarian Journal of Agriculture, 3(1), 17-21.

Prajapati, M. R., Bala, M., Patel, V. P., Patel, R. K., Sushmitha, et al. (2022). Analysis of genetic variability and correlation for yield and its attributing traits in F2 population of rice (Oryza sativa L.). Electronic Journal of Plant Breeding, 13(3), 983-990. https://doi.org/10.37992/2022.1303.127 DOI: https://doi.org/10.37992/2022.1303.127

Prathiksha, R., Pushpam, R., Amudha, K., & Raveendran, M. (2022). Estimation of genetic parameters and character association for yield and quality traits in BC1F2 population of rice (Oryza sativa L.). Electronic Journal of Plant Breeding, 13(2), 498-505. https://doi.org/10.37992/2022.1302.091 DOI: https://doi.org/10.37992/2022.1302.091

Riyanto, A., Haryanto, T. A. D., & Hidayat, P. (2021). Genetic parameter and analysis of traits interrelationship in F2 rice generation of Inpago Unsoed 1 X Basmati Delta 9. American-Eurasian Journal of Sustainable Agriculture, 15(1), 15-28.

Robson, D. S. (1956). Applications of the k 4 statistic to genetic variance component analyses. Biometrics, 12(4), 433-444. DOI: https://doi.org/10.2307/3001682

Santhiya, S., Pushpam, R., Subramanian, A., Joel, A. J., & Senthil, A. (2024). Nature of gene action and combining ability effects for grain yield and quality traits in rice (Oryza sativa L.). Electronic Journal of Plant Breeding, 15(1), 11-20. https://doi.org/10.37992/2024.1501.003 DOI: https://doi.org/10.37992/2024.1501.003

Shapiro, S. S., Wilk, M. B., & Chen, H. J. (1968). A comparative study of various tests for normality. Journal of the American Statistical Association, 63(324), 1343-1372. DOI: https://doi.org/10.1080/01621459.1968.10480932

Snedecor, G. W., & Cochran, W. G. (1989). Statistical methods, Ames, IA: Iowa State University.

Thúy, L. T., Vu, T. N., Pham, V. T., Nguyen, A. D., & Nguyen, T. K. (2022). Variability, correlation and path analysis for several quantitative traits derived multi-parent advanced generation inter-cross (Magic) F2 population of rice (Oryza sativa L.). International Journal of Scientific Research and Management, 10(11), 356-363. https://doi.org/10.18535/ijsrm/v10i11.ah01 DOI: https://doi.org/10.18535/ijsrm/v10i11.ah01

Waghmode, B.D., Kore, A.B., Navhale, V.C., Sonone, N.G., & Thaware, B.L. (2017). Genetic Analysis of Promising Crosses and Good Combiners for Developing New Genotypes in Groundnut (Arachis hypogaea L). International Journal of Current Microbiology and Applied Sciences, 6 (7), 324-331. DOI: http://dx.doi.org/10.20546/ijcmas.2016.501.038. DOI: https://doi.org/10.20546/ijcmas.2017.607.038

Yaseen, S. M., Aananthi, N., Pillai, M. A., Shoba, D., Manikandan, K., et al. (2020). Genetic variability and frequency distribution studies for yield in OsPSTOL1 gene introgressed segregating populations of rice (Oryza sativa L.). Journal of Pharmacognosy and Phytochemistry, 9(3), 810-815.

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Published

2024-07-15

How to Cite

S, S., R, P., A, S., A, J. J., A, S., R, S., S, M., & K, P. K. (2024). Inheritance pattern of Qualitative traits, Genetic analysis and association of yield attributes in F2 populations of Rice (Oryza sativa). Journal of Experimental Biology and Agricultural Sciences, 12(3), 435–445. https://doi.org/10.18006/2024.12(3).435.445

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