Inheritance studies through generation mean analysis for quantitative traits in soybean (Glycine max (L.) Merrill.)
##plugins.themes.bootstrap3.article.main##
Abstract
Most of the economically important traits in soybean are quantitatively inherited. The generation mean analysis involving a
five-parameter model was carried out in four crosses, viz., Pratap Soya- 2 × LP 5-2, Co 3 × LP 5-2, Co 3 × LP 5-1 and Co 3 × LP 13-1 to investigate additive, dominance and epistatic variance. Therefore, F1, F2 and F3 generations of the above four crosses were evaluated along with their respective parents to estimate the gene action for eleven quantitative traits through generation mean analysis, which provides information about all the gene interactions. The crosses Co 3 × LP 5-1 and Co 3 × LP 13-1 for plant height, Pratap Soya-2 × LP 5-2 for protein content and Co 3 × LP 5-2 for both oil content and seed yield per plant exhibited the adequacy of the additive dominance model. The remaining crosses exhibited epistatic interactions with all other traits. Hence simple recurrent selection can be followed to increase the frequency of desirable genes in the population and the resulted improved population can be used to develop superior lines with desirable genes by pedigree breeding. The crosses Co 3 × LP 5-1 and Pratap Soya - 2 × LP 5-2 were best for further selection programmes with regard to seed yield and quality improvement.
##plugins.themes.bootstrap3.article.details##
##plugins.themes.bootstrap3.article.details##
Additive gene effects, Gene action, Inheritance, Quantitative trait, Scaling test, Selection, Soybean
Abou Sen, T. M. (2020). Generation Mean Analysis for Seed Yield and its Components of some Quantitative Characters on Soybean Crosses. J. of Plant Production, Mansoura Univ.,11 (7), 587-593.
Ahmad, I., Muhammad, F. & Aurangzeb, M. (2013). Breeding bread wheat for low phytic acid using full diallel crosses. Sarhad J. Agric., 29(1), 33-42.
Amrita, B., Shrivastava, A.N., Rajani, B. & Stuti, M. (2014). Genetic variability, association and path analyses in advanced generation fixed lines of soybean [Glycine max (L.) Merrill.]. Soybean Res., 12(1), 20-27.
Annadurai, A. & Subbalakshmi, B. (2010). Heterosis and combining ability in soybean for the traits of vegetable importance. Veg. Sci., 37(1), 48-51.
Anne, M., Peter, B. E. M., & Harvey, D. V. (2011). Inheritance of seed protein and oil content in early maturing soybean. Genome, 27(5), 603-607.
Cavalli, L.L. (1952). An analysis of linkage in quantitative inheritance. In: Quantitative Inheritance (Reeve, R.C.R. and C.H. Waddington, Eds.), HMSD and London, 135-144.
Chiangmai, P.N., Yodmingkhwan, P., Nilprapruck, P., Aekatasanawan, C. & Kanjanamaneesathian, M. (2013). Generation means analysis of phytic acid and inorganic phosphorus contents in corn (Zea mays L). Maydica, 58, 243-253.
Gadag, R.N., Upadhyaya, H.D. & Goud, J.V. (1999). Genetic analysis of yield, protein, oil and other related traits in soybean. Indian J. Genet., 59, 487-492.
Ganesamurthy, K. & Seshadri, P. (2002). Diallel analysis in soybean. Madras Agric. J., 89 (1-3), 14-17.
Kearsey, M.J. & Pooni, H.S. (1996). The Genetic Analysis of Quantitative Traits.1st edition. Chapman and Hall, London.
Lydia Pramitha, J., Sumi, R., Pooja Rani, A., Rajasekaran, R., John Joel, A. & Mehanathan, M. (2021). Diverse role of phytic acid in plants and approaches to develop low-phytate grains to enhance bioavailability of micronutrients. Advances in Genetics, 107, 89-120.
Lydia Pramitha, J., John Joel, A., Jacob George, Sreeja, R. & Ravikesavan, R. (2019). Studies on genetic parameters and combining ability in maize for the production of hybrids with low phytic acid. Electronic J. Pl. Breed., Vol 10 (2), 419-429.
Mahesh, J., Ramgiry, S.R. & Yadav, S. K. (2014). Study of Gene Action and Combining Ability for physiomorphic and Yield Characters in Soybean [Glycine max (L.) Merrill.]. Soybean Res., (Spl 2), 57-63.
Maloo, S.R. & Nair, S. (2005). Generation mean analysis for seed yield and its components in soybean. Indian J. Genet., 65(2), 139-140.
Mather, K. & Jinks, J.L. (1971). Biometrical Genetics - The study of continuous variation. Chapman and Hall Ltd., London.
Mather, K. & Jinks, J.L. (1982). Biometrical genetics: the theory of continuous variation. Chapman and Hall, London, 3rd Ed., pp. 90.
Nassar, M.A.A. (2013). Heterosis and combining ability for yield and its components in some crosses of soybean. Australian J. Basic Appl. Sci., 7(1), 566-572.
Noleppa, S. (2012). Climate Change on Your Plate. WWF-Germany, Berlin, Germany.
Rahangdale, S.R. & Raut, V.M. (2002). Gene effects for oil content and other quantitative traits in soybean [Glycine max (L.) Merrill.]. Indian J. Genet., 62(4), 322-327.
Sharma, R.L. & Phul, P.S. (1994). Combining ability analysis in soybean. Indian J. Genet., 54 (3), 281-286.
Thakare, D.S., Chimote, V.P., Deshmukh, M.P., Bhailume, M.S. & Adsul, A.T. (2017). Inheritance of yield and yield components in soybean [Glycine max (L.) Merrill.]. Electronic J. Pl. Breed., 8(1), 176-181.
Thangavel, P., Sabeson, T., Sarvnan, K., Vrevani, N. & Ganesh, J. (2004). Evaluation of F1 hybrids for grain yield components in soybean [Glycine max (L.) Merrill.]. Soybean Res., 12(2), 54-62.
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)
