Document Type : Original Article

Authors

1 Ph.D. graduated of Plant Breeding, Razi University, Kermansha, Iran

2 Assistant Professor, Crop and Horticultural Science Research Department, Lorestan Agricultural and Natural Resources Research and Education Center, AREEO, Khorramabad, Iran

3 Professor of Plant Breeding, Department of Plant Production Engineering and Genetic, Campus of Agriculture and Natural Resources, Razi University, Kermanshah, Iran

4 Associated Professor of Plant Breeding, Department of Plant Production Engineering and Genetic, Campus of Agriculture and Natural Resources, Razi University, Kermanshah, Iran

Abstract

Introduction
In Iran, as in most poor and developing countries, wheat is the most important food in the diet of the people. Therefore, the field of study and research on various aspects of this important and strategic crop is still open to relevant researchers and experts. Given that the achievement of yield potential in crops, including wheat, is influenced by genetics, environmental conditions, their interaction and the application of proper management in the optimal use of available resources, so the genetic capacity of the existing germplasm should be used to produce suitable breeding lines in order to make the most of natural and climatic resources. Therefore, screening genotypes, selecting the proper parents, and modifying them through conventional and new methods can still be helpful. Estimating genetic effects and studying the inheritance pattern of important agronomic traits and in general knowledge of germplasm genetic information and knowledge of the genetic system of the studied trait is one of the most useful tools in designing breeding methods to improve target traits. This study aimed to estimate the genetic model controlling important agronomic traits and also to estimate heterosis and heritability in two bread wheat cross under normal and terminal drought stress conditions using generation mean analysis method and multivariate regression analysis.
Materials and methods
A field investigation materials consisted of basic generations obtained from the crosses of a local cultivar “Marvdasht” (female parent) with two cultivars “Sistan” and “Norstar” (male parents). Both the crosses and resultant progenies were performed and developed under field conditions. All the six generations derived from the above two crosses were sown under two distinct conditions, normal (non-stress) and terminal drought stress in a randomized complete blocks design with three replicates at the Research Farm of Razi University, Kermanshah, Iran during the next cropping season (2015-2016). Terminal drought stress was imposed in Mid-May; while non-stress plots were irrigated whenever required. Weeds were controlled manually when necessary. The rainfall in 2015-2016 was 653 mm. Data from 10 plants in each of P1, P2 and F1 generations, 30 plants in F2 and 15 plants in each of BC1 and BC2 were randomly recorded per replication. Statistical analyses were done using different methods and software.
Results and discussion
Significant differences between the generations were found for most of the traits which indicated the presence of genetic variation in the plant populations and scope of improvement through breeding methods such as selection and expression of heterosis. The scaling and joint scaling tests revealed that the simple additive-dominance model was not sufficient to explain the genetic variation in the crosses for all the studied traits apart from the number of spike per plant, main stem diameter and number of spikelet per spike at Marvdasht × Sistan, and hundred kernel weight and peduncle length at Marvdasht × Norstar. It could be concluded that the inheritance of these traits is governed by epistasis gene action. The results of analysis of variance obtained by regression method showed that fixable genetic effects had the highest relative contribution of the generation sum of squares for most of the traits in both crosses and under both normal and drought stress conditions. High estimates of broad-sense heritability for hundred kernel weight (0.67) in normal conditions at Marvdasht × Sistan cross and plant height (normal: 0.76 and stress: 0.67) and peduncle length (normal: 0.72 and stress: 0.67) at the Marvdasht × Norstar cross shows that the effects of dominance have a greater role in the inheritance pattern of these traits and therefore it is possible to produce hybrid varieties to improve these traits.
Conclusion
The results of generation mean analysis showed that the type and action of genetic effects were variable in both crosses and for different traits and indicate the need to adopt a special breeding method to improve them. The presence of duplicate mode of gene interactions signified the involvement of epistatic effects for most of the traits. Based on the present investigation, it could be inferred that the genetic control model was somewhat similar for most of the traits under both conditions at both crosses, and it has not been largely affected by drought stress.

Keywords

Main Subjects

Abdi, H., Fotokian, M.H., Shabanpour, S., 2016. Studying the inheritance mode of grain yield and yield components in bread wheat genotypes using generations mean analysis. Cereal Research. 6, 283-292. [In Persian with English summary].
Aminizadeh Bezenjani, S., Abdolshahi, R., Mohammadi-Nejad, G., 2017. Study of genetic control of some yield related traits of bread wheat (Triticum aestivum L.) under drought stress condition using generation mean analysis. Journal of Crop Breeding. 8, 51-45. [In Persian with English summary].
Amiri, R., Bahraminejad, S., Cheghamirza, K., 2018. Estimating genetic variation and genetic parameters for grain iron, zinc and protein concentrations in bread wheat genotypes grown in Iran. Journal of Cereal Science. 80, 16-23. https://doi.org/10.1016/j.jcs.2018.01.009.
Amiri, R., Bahraminejad, S., Cheghamirza, K., 2021. Estimation of genetic control model for agronomic traits in the progeny of Marvdasht and MV-17 wheat cross under normal and terminal drought stress conditions. Plant Genetic Researches. 8, 61-80. [In Persian with English summary].
Amiri, R., Bahraminejad, S., Sasani, S., Jalali-Honarmand, S., Fakhri, R., 2015. Bread wheat genetic variation for grain’s protein, iron and zinc concentrations as uptake by their genetic ability. European Journal of Agronomy. 67, 20-26. https://doi.org/10.1016/j.eja.2015.03.004.
Asadi, A.A., Valizadeh, M., Mohammadi, S.A., Khodarahmi, M., 2019. genetic analysis of response to water deficit stress in wheat yield traits with generation means and variance analysis. Journal of Crop Breeding. 11, 88-99. [In Persian with English summary].
Attri, H., Dey, T., Singh, B., Kour, A., 2021. Genetic estimation of grain yield and its attributes in three wheat (Triticum aestivum L.) crosses using six parameter model. Journal of Genetics. 100, 47. https://doi.org/10.1007/ s12041-021-01298-y.
Burton, G.W., 1951. Quantitative inheritance in pearl millet (Pennisetum glaucum). Agronomy Journal. 43, 409-417.
Cavalli, L.L., 1952. An analysis of linkage in quantitative inheritance. In: Reeve, E.C.R., Waddington, C.H. (eds.). Quantitative Inheritance. HMSO. London. pp, 135-144.
Golabadi, M., Arzani, A., Mirmohammadi Maibody, S.A.M., 2008. Genetic analysis of some morphological traits in durum wheat by generation mean analysis under normal and drought stress conditions. Seed and Plant Journal. 24, 99-116. [In Persian with English summary].
Hallauer, A.R., Carena, M.J., Miranda Filho, J.B., 2010. Quantitative Genetics in Maize Breeding. Springer, pp:60-66.
Heydari Roodballi, M., Abdolshahi, R., Baghizadeh, A., Ghaderi, M.G., 2016. Genetic analysis of yield and yield related traits in bread wheat (Triticum aestivum L.) under drought stress condition. Journal of Crop Breeding. 8(18), 1-6. [In Persian with English summary].
Kearsey, M.J., 1993. Biometrical genetics in breeding. In: Hayward, M.D., Bosemark, N.O., Romagosa, I. (eds). Plant Breeding: Principles and Prospects, 1st edition. Chapman and Hall, London, UK. pp, 163-183.
Kearsey, M.J., Pooni, H.S., 1996. The Genetical Analysis of Quantitative Traits. (1st ed.). Chapman and Hall, London. 381 pp.
Khodarahmi, M., Dehghan, M., Omrani, A., 2020. Genetic analysis of resistance to wheat fusarium head blight in Morvarid (resistant) × Falat (sensitive) cross. Journal of Crop Breeding. 12, 62-70. [In Persian with English summary].
Kiani, Sh., Babaeian Jelodar, N., Ranjbar, Gh., Kazemitabar, S.K., Nowrozi, M., 2015. The Genetical evaluation of quantitative traits in rice (Oryza sativa L.) by generation mean analysis. Journal of Crop Breeding. 7(15), 105-114. [In Persian with English summary].
Mahmud, I., Kramer, H.H., 1951. Segregation for yield, height and maturity following a soybean cross. Agronomy Journal. 43, 605-609.
Mather, K., Jinks J.L., 1982. Biometrical genetics - The study of continuous variation, 3rd edition. Chapman and Hall, London, UK. 396 p.
Mather, K., Jinks, J.L., 1977. Introduction to Biometrical Genetics. Chapman and Hall, London, UK.
Miri, A., Sabouri, H., Hosseini Moghaddam, H., Soughi, H., Mollahshahi, M., Sajadi, S.J., 2020. Genetic structure of wheat (Triticum aestivum L.) grain characteristics by using image processing and generation mean analysis techniques. Journal of Genetic Resources. 6, 131-141.
Molaei, B., Moghaddam, M., Alvaikia, S.S., Bandeh-Hagh, A., 2017. Generation mean analysis for several agronomic and physiologic traits in bread wheat under normal and water deficit stress conditions. Plant Genetic Researches. 3, 1-10. [In Persian with English summary].
Moroni, J.S., Briggs, K.G., Blenis, P.V., Taylor, G.J., 2013. Generation mean analysis of spring wheat (Triticum aestivum L.) seedlings tolerant to high levels of manganese. Euphytica. 189, 89-100. https://doi.org/10.1007/s10681-012-0714-0.
Pojić, M.M., Mastilović, J.S., 2013. Near infrared spectroscopy-advanced analytical tool in wheat breeding, trade, and processing. Food and Bioprocess Technology. 6, 330-352. https://doi.org/10.1007/s11947-012-0917-3.
Salmi, M., Benmahammed, A., Benderradji, L., Fellahi, Z., Bouzerzour, H., Oulmi, A., Benbelkacem, A., 2019. Generation means analysis of physiological and agronomical targeted traits in durum wheat (Triticum durum Desf.) cross. Revista Facultad Nacional de Agronomía Medellín. 72, 8971-8981. https://doi.org/10.15446/rfnam.v72n3.77410.
Sasani, S., Amiri, R., Sharifi, H.R., Lotfi, A., 2019. Study on bread wheat (Triticum aestivum L.) growth stages using growing degree day index under early and late planting date in Kermanshah. Cereal Research. 9, 143-156. [In Persian with English summary].
Shayan, S., Moghaddam Vahed, M., Norouzi, M., Mohammadi, A., Tourchi, M., Molaei, B., 2018. Inheritance of agronomical and physiological traits in the progeny of Moghan3 and Arg bread wheat varieties cross. Plant Genetic Researches. 4, 43-60. [In Persian with English summary].
Shayan, S., Moghaddam Vahed, M., Norouzi, M., Mohammadi, S., Toorchi, M., 2019. Genetic analysis of agronomic and physiological traits of bread wheat (Triticum aestivum L.) using generation mean analysis under drought stress conditions and spring planting in the cold climate. Iranian Journal of Crop Sciences. 21, 210-224. [In Persian with English summary].
Singh, M., Kumar, S., 2016. Introduction. In: Singh, M., Kumar, S., (eds) Broadening the Genetic Base of Grain Cereals. Springer, New Delhi. https://doi.org/10.1007/978-81-322-3613-9_1
Singh, R.K., Chaudhary, B.D., 1985. Biometrical Methods in Quantitative Genetic Analysis. Kalyani publishers, New Delhi, India. p. 304.
Singh, R.P., Singh, S., 1992. Estimation of genetic parameters through generation mean analysis in bread wheat. Indian Journal of Genetics. 52, 369-375.
Soehendi, R., Srinives, P., 2005. Significance of heterosis and heterobeltiosis in an F1 hybrid of mungbean (Vigna radiata L.) Wilczek) for hybrid seed production. SABRAO Journal of Breeding and Genetics. 37, 97-105.
Warner, J.N., 1952. A method for estimating heritability. Agronomy Journal. 44, 427-430.
Weber, C.R., Moorthy, H.R., 1952. Heritable and non-heritable relationship and variability of oil content and agronomic characters in the F2 generation of soybean crosses. Agronomy Journal. 44, 202-209.
Zanganeh Asadabadi, Y., Khodarahmi, M., Nazeri S.M., Mohamadi, A., Peyghambari, S.A., 2012. Genetic study of grain yield and its components in bread wheat using generation mean analysis under water stress condition. Journal of Plant Physiology and Breeding. 2, 55-60.