The study subjected to estimate gene effects and inheritance of quantitative traits of rice with Generation Mean Analysis (GMA). Segregation analysis and estimation of genetic parameters under epistatic model indicated partial dominance and importance of additive effects in the inheritance of drought tolerance, respectively. In present study, absence of epistasis by scaling tests was recorded only for plant height in cross NDR-359 x P0 1564, grains per panicle in cross DSL- 63-8 x NDR- 359, test weight in cross Sarjoo-52 x P0 359, harvest-index in cross NDR-359 x P0 1564 and spikelets per panicle in cross Sarjoo-52 x P0 359 and NDR-359 x P0 1564 in irrigated condition and days to 50 per cent flowering in cross P0 359 x Sonam and harvest-index in cross NDR-359 x P0 1564 in drought condition. In remaining cases, existence of epistasis was observed in either one or both conditions by one or both types of scaling tests. The presence of complementary epistasis in cross P0 359 x Sonam and P0 1564 x Sarjoo-52 would make progress through selection procedures exploiting additive gene actions faster while existence of duplicate epistasis in cross NDR-359 x P0 1564 would have reverse impact. The non-additive gene effects in NDR-359 x P0 1564 for grain yield plant-1may also be utilized for facilitating development of pureline cultivars by involving population improvement methods. Our study concluded that for a large number of traits in six crosses, dominance gene effects and epistatic interactions were significant under drought and irrigated conditions implying that utilization of heterosis through hybrid varieties will act as a budding choice.
Drought, Epistasis, Generation mean analysis, Metric traits
Jinks, J. L. and Jones R. M. (1958). Estimation of the components of heterosis. Genetics, 43: 223-234.
Koli, N. R., Prakash, C., Mahawar, R. K., Kumhar, B. L. and Punia, S. S. ( 2014). Detection of epistasis, additive and dominance variation in rice (Oryza sativa L.) using triple test cross analysis. Electronic Journal of Plant Breeding 5(4): 632-635. http://269-Article%20Text-416-1-10-20150121.pdf
Kour, A., Kumar, B., Singh, B., Attri H. and Bangarwa, S. K. (2019). Generation mean analysis for yield traits in rice (Oryza sativa L.). Electronic Journal . of Plant Breeding 10(1): 289-292. doi: 10.5958/0975-928X.2019.00035.8.
Madhukar, K., Prasad, L. C., Lal, J. P., Prasad, R. and Chandra, K. (2018). Generation mean analysis for yield and drought related traits in barley (Hordeum vulgare L.). International Journal of Pure and Applied Biosciences. 6(1): 1399-1408. DOI: http://dx.doi.org/10.18782/2320-7051.6347.
Majumdar, N. D., Rakshit, S. C., Borthakur, D. N. (1990). Diallel analysis at critical growth stages of rice. Intl. Rice Research Newsletter 15(4): 5.
Misra, S. C., Rao, V. S., Dixit, R. N., Surve, V. D., Patil, V. P. (1994). Genetic control of yield and its components in bread wheat. Indian Journal of Genetics. 54: 77-82.
Muthuvijayaragavan, R. and Murugan, E. (2017). Generation Mean Analysis for Yield and Salinity Tolerance in Rice (Oryza sativa L.). International Journal of Current Microbiology and Applied Sciences . 6(9): 2249-2257. https://doi.org/10.20546/ijcmas.2017.60 9.276
Pantuwan, G., Fukai, S., Cooper, M., Rajatasereekul, S., and Toole, J. C. O. (2002). Yield response of rice (Oryza sativa L.) genotypes to drought under rainfed lowlands 2. Selection of drought resistant genotypes. Field Crops Research 73(2-3): 169–180.
Perraju, P. and Sarma, N. P. (1999) Combining ability studies in rice. Oryza 36(3): 248-249.
Rao, M., Grithlahre, S., Bisen, P., Loitongbam, B., Dar, M. H., Aidi, N. W. Z., Singh, U. S. and Singh, P. K. (2017). Generation mean analysis for grain yield and its component traits in submergence rice. SABRAO Journal of Breeding & Genetics 49(4): 327-335.
Saravanan, K., Ramya, B., Kumar, S. P.and Sabesan, T. (2006). Combining ability for yield and quality characters in rice. (Oryza sativa L.). Oryza 43(4): 274-277.
Savitha, P. and Kumari, R. U. (2015). Gene effects and genetic analysis of indigenous land races and improved cultivars for yield and yield components in rice (Oryza sativa L.). International Journal of Agriculture, Environment and Biotechnology 8(3): 489-499.
Singh, A. K., Mall, A. K., Singh, P. K., Singh, S., Singh, A. K. and Verma, O. P. (2015). Genetic architecture, heterosis and inbreeding depression for yield and yield associated physiological traits in rice (Oryza sativa L.) under drought condition. SAARC Journal of Agriculture 13(1): 50-62. https://doi.org/10.3329/sja.v13i1.24180
Singh, N. K., Singh, P. K, Singh, O. N., Singh, S., Dwivedi, J. L., Giri, S. P. and Tiwari, T. (2007). Gene effects and selection parameters in rainfed lowland rice. Oryza 44(3): 291-295.
Singh, R. K. and Singh, P. K. (1994). A manual on Genetics and Plant Breeding: Experimental Techniques. Kalyani Publications, Ludhiana. Pp 326.
Singh, R. P. and Singh, S. (1992). Estimation of genetic parameters through generation mean analysis in bread wheat. Indian Journal of Genetics 52: 369-375.
Viana, J. M. S. (2000). Generation mean analysis to polygenic systems with epistasis and fixed genes. Pesq. agropec. bras. Brasília 35(6): 1159-1167.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
This work is licensed under Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) © Author (s)