Shivam Sharma*, Indrajeet, Falguni Yadav, Sonali Kar and D.P. Singh
Department of Genetics and Plant Breeding, S.G. College of Agriculture and Research Station, Kumhrawand, Jagdalpur, Bastar 494001 (C.G.)
Department of Genetics and Plant Breeding S.G. College of Agriculture and Research Station Kumhrawand, Jagdalpur, Bastar 494001 (C.G.)
Email: shivamsharmaofficial@gmail.com
Received-28.11.2024, Revised-12.12.2024, Accepted-27.12.2024
Abstract: An experiment titled “Genetic assessment and association analysis of traditional rice (Oryza sativa L.) genotypes of Bastar Region” was conducted in Kharif 2023 at the Research cum Instructional Farm of S.G. College of Agriculture and Research Stationat Jagdalpur, Bastar, IGKV, Raipur (C.G.). An augmented complete block design was used for genetic evaluation. ANOVA analysis found all the value are significant at 1% level of significance. Genetic variability analysis identified days to 50% flowering with the highest heritability (44.46%), while plant height showed the highest genetic advance as a percentage of the mean (6.19). Correlation studies indicated that grain yield per plant had a positive significant correlation with traits such as number of effective tillers per plant, harvest index, number of filled grains per panicle, biological yield and test weight. Selection for these traits could be beneficial in improving grain yield.
Keywords: Rice, Heritability, Genetic advance, GCV, PCV, Association analysis, Correlation
References
Abhilash, R., Thirumurugan, T., Sassikumar, D. and Chitra, S. (2018). Genetic studies in F2 for biometrical traits in Rice (Oryza sativa L.). Electronic Journal of Plant Breeding, 9(3): 1067-1076.
Akshay, M., Chandra, B.S., Devi, K.R. and Hari, Y. (2022). Genetic variability studies for yield and its attributes, quality and nutritional traits in rice (Oryza sativa L.). The Pharma Innovation Journal, 11(5): 167-172.
Ali, E.N., Rajeshwari, S., Saraswati, R. and Jeyaprakash, P. (2018). Genetic variability and character association for earliness, yield and its contributing traits in F2 population of rice (Oryza sativa L.). Electronic Journal of Plant Breeding, 9 (3): 1163-1169.
Balaji, A.A., Arumugam, P.M., Shoba, D., Aiyanathan, E.A., Sathwik, B., Rapaka, P.V.S., Madhuri, M., Bharath, K.M., Kumar, G.D., Kasarla, C. and Fiyaz, R.A. (2022). Genetic variability studies in traditional rice landraces of India. The Pharma Innovation Journal, 11(9): 2953-2956.
Burton, G.W. and Devane, D.E. (1953). Estimating heritability in tall fescue (Festuca arundinacea) from replicated clonal material. Agronomy Journal, 51: 515- 518.
Hefena, A.G., Sultan, M.S., Moneam, M.A.A., Hammoud, S.A., Barutcular, C. and EL-Sabagh, A. (2016). Assessment of genetic variability and correlation coefficient to improve some agronomic traits in rice. Journal of Experimental Agriculture International, 14(5): 1-8.
Johnson, H.W., Robinson, H.F. and Comstock, R.E. (1955). Estimates of genetic and environmental variability in soybeans 1. Agronomy Journal, 47(7): 314-318.
Mahbub, M.M., Rahman, M.M., Hossain, M.S., Mahmud, F. and Kabir M.M. (2015). Genetic variability, correlation and path analysis for yield and yield components in soybean. American Eurasian Journal of Agricultural & Environmental Sciences, 15(2):231-236.
Manasa, S., Reddy, S.M., Krishna Murthy, K.G. and Meena, A. (2022). Studies on correlation and path coefficient analysis of yield and yield attributing characters in rice landraces (Oryza sativa L.). International Journal of Environment and Climate Change, 12(11): 442-451.
Nirmaladevi, G., Padmavathi, G., Suneetha, K. and Babu, V.R. (2015). Genetic variability, heritability and correlation coefficients of grain quality characters in rice. SABRAO Journal of Breeding and Genetics, 47(4):424-433.
Pradeep, P., Malleshappa, C., Manjunatha, B., Kumara, B.N and Harish, D. (2018). Genetic variability, path analysis, character association for yield and its attributing traits in F2 population of cross BPT-5204 X IET-21214 in rice (Oryza sativa L.). Environment and Ecology, 36(2): 437-442.
Russinga, A.M., Srividhya, A., Reddy, V.L.N. and Latha, P. (2020). Correlation studies on yield and yield contributing traits in rice (Oryza sativa L.). Indian Journal of Pure Applied Bioscience, 8(5): 531-538.
Sadimantara, G.R., Yusuf, D.N., Febrianti, E., Leomo, S. and Muhidin (2021). The performance of agronomic traits, genetic variability, and correlation studies for yield and its components in some red rice (Oryza sativa L.) promising lines. Biodiversitas, 22(9): 3994-4001.
Saha, S.R., Hassan, L., Haque, Md. A., Islam, M.M. and Rasel, Md. (2019). Genetic variability, heritability, correlation and path analyses of yield components in traditional rice (Oryza sativa L.) landraces. Journal of Bangladesh Agricultural University, 17(1): 26-32.
Sudeepthi, K., Srinivas, T., Kumar, B. N. V. S. R. R., Jyothula, D. P. B. and Umar, S. N. (2020). Genetic Divergence Studies for Anaerobic Germination Traits in Rice (Oryza sativa L.). Current Journal of Applied Science and Technology, 71–78.
Swamy, B. P. M., Kaladhar, K., Reddy, G. A., Viraktamath, B. C. and Sarla, N. (2014). Mapping and introgression of QTL for yield and related traits in two backcross populations derived from Oryza sativa cv. Swarna and two accessions of O. nivara. Journal of Genetics, 93: 643-654.
Thorat, B.S., Kunkerkar, R.L., Raut, S.M., Desai, S.S., Gavai, M.P., Keluskar, M.H. and Dhekale, J.S. (2019). Correlation studies in hybrid rice (Oryza sativa L.). International Journal of Current Microbiology and Applied Sciences, 8(04):1158-1164.
Verma, Y., Tomar, N.S. and Saran, D. (2023). Assessment of genetic variability for yield & its contributing traits in rice (Oryza sativa L.). International Journal of Environment and Climate Change, 13(5): 36-39.