Legume Research

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Legume Research, volume 44 issue 7 (july 2021) : 773-778

High Quantitative Trait Variability in Faba Bean Mutagenized Population for High-yielding Breeding Program in Saudi Arabia

Nurmansyah, Salem S. Alghamdi, Hussein M. Migdadi
1Department of Plant Production, Faculty of Food and Agricultural Sciences, King Saud University, P.O. Box 2460, Riyadh 11451, Saudi Arabia.
  • Submitted17-11-2020|

  • Accepted08-02-2021|

  • First Online 31-03-2021|

  • doi 10.18805/LR-601

Cite article:- Nurmansyah, Alghamdi S. Salem, Migdadi M. Hussein (2021). High Quantitative Trait Variability in Faba Bean Mutagenized Population for High-yielding Breeding Program in Saudi Arabia. Legume Research. 44(7): 773-778. doi: 10.18805/LR-601.
Background: The narrow genetic base and environmental stresses are behind the low rate of faba bean yield in the past two decades. Drought stress is one of the most destructive abiotic stresses. Using induced mutagenesis on locally adapted landrace cultivar is proposed to cope with this problem. 
Methods: This study was conducted on faba bean landrace cultivar of Saudi Arabia, namely Hassawi 2, treated by 25 and 50 Gray gamma radiation. The genetic diversity assessment of M2 mutant populations was based on seven quantitative traits and nine Amplified Fragment Length Polymorphism (AFLP) primer combinations.  
Result: A total of 3419 M2 seeds were planted, of which 2782 (81.4%) seeds germinated and 2658 plants survived. A 5 to a 10-fold range of quantitative traits studied among mutant plants compared to control plants showed high variability. The number of pods per plant and seeds per plant was a valid selection criterion for a high-yielding faba bean breeding program. Nine AFLP primer combinations generated 1079 polymorphic alleles from 88 samples that comprised mutant and control plants. Shannon index (I) and expected heterozygosity (He) were 0.337 and 0.206, respectively. The AFLP results validated high variability in M2 populations. These findings will assist faba bean breeders in developing high-yielding cultivars with drought stress tolerance.
  1. Ammar, M.H., Alghamdi, S.S., Migdadi, H.M., Khan, M.A., El-Harty, E.H. and Al-Faifi, S.A. (2015). Assessment of genetic diversity among faba bean genotypes using agro-morphological and molecular markers. Saudi Journal of Biological Sciences. 22: 340-350. 
  2. Bind, D., Dwivedi, V.K. (2014). Effect of mutagenesis on germination, plant survival and pollen sterility in M1 generation of cowpea [Vigna unguiculata (L.) Walp]. Indian Journal of Agricultural Research. 48(5): 398-401.
  3. Casañas, F., Simó, J., Casals, J. and Prohens, J. (2017). Toward an evolved concept of landrace. Frontiers in Plant Science. 8: 1-7.
  4. Chowdhury, S. and Al-Zahrani, M. (2013). Implications of climate change on water resources in Saudi Arabia. Arabian Journal for Science Engineering. 38: 1959-1971.
  5. Dewanjee, S., Sarkar, K.K. (2018). Evaluation of performance of induced mutants in mungbean [Vigna radiata (L.) Wilczek]. Legume Research. 41(2): 213-217.
  6. El-Esawi, M.A. (2017). SSR analysis of genetic diversity and structure of the germplasm of faba bean (Vicia faba L.). Comptes Rendus Biologies. 340: 474-480. 
  7. Food and Agriculture Organization of the United Nations. (2018). FAOSTAT statistical database. Available at: http://www.fao.org/faostat/en/#compare. Accessed on October 17, 2020. 
  8. General Authority for Statistics. (2017). Kingdom of Saudi Arabia Imports Statistics 2017. Available at: https://www.stats.gov.sa/sites/default/files/imports_bulletin_2017.pdf. Accessed on October 18, 2020. 
  9. Gong, Y., Xu, S., Mao, W., Li, Z., Hu, Q., Zhang, G. and Ding, J. (2011). Genetic diversity analysis of faba bean (Vicia faba L.) based on EST-SSR markers. Agricultural Sciences in China. 10: 838-844.
  10. Hammer, Ø., Harper, D.A.T. and Paul, D.R. (2001). PAST: Paleontological Statistics Software Package for Education and Data Analysis. Palaeontologia Electronica. 4: 1-9.
  11. Hamza, F.E.A. (2017). Performance assessment, genetic variability, heritability, genetic advance and correlation coefficient analysis for yield and some agro-morphological traits in faba bean (Vicia faba L.) genotypes in the Northern State, Sudan. International Journal of Current Microbiology and Applied Sciences. 6: 1206-1214.
  12. Laskar, R.A. and Khan, S. (2017). Assessment on induced genetic variability and divergence in the mutagenized lentil populations of microsperma and macrosperma cultivars developed using physical and chemical mutagenesis. Plos ONE. 12: 1-18.
  13. Li, S., Zheng, Y., Cui, H., Fu, H., Shu, Q. and Huang, J. (2016). Frequency and type of inheritable mutations induced by ã rays in rice as revealed by whole genome sequencing. Journal of Zhejiang Univ-Sci B (Biomed and Biotechnol). 17: 905-915.
  14. Maalouf, F., Hu, J., O’Sullivan, D.M., Zong, X., Hamwieh, A., Kumar, S. and Baum, M. (2018). Breeding and genomics status in faba bean (Vicia faba L.). Plant Breeding. 138: 465-473.
  15. Migdadi, H.M., El-Harty, E.H., Salamh, A. and Khan, M.A. (2016). Yield and proline content of faba bean genotypes under water stress treatments. The Journal of Animal and Plant Sciences. 26: 1772-1779.
  16. Nair, R., Mehta, A. K. (2014). Induced mutagenesis in cowpea [Vigna unguiculata (L.) Walp] var. Arka Garima. Indian Journal of Agricultural Research. 48(4): 247-257.
  17. Nedumaran, S., Abinaya, P., Jyosthnaa, P., Shraavya, B., Rao, P. and Bantilan, C. (2015). Grain Legumes Production, Consumption and Trade Trends in Developing Countries. ICRISAT, Telangana, India, 64pp
  18. Nurmansyah, Alghamdi, S.S., Migdadi, H.M. and Farooq, M. (2018). Morphological and chromosomal abnormalities in gamma radiation-induced mutagenized faba bean genotypes. International Journal of Radiation Biology. 94: 174-185.
  19. Nurmansyah, Alghamdi, S.S. and Migdadi, H.M. (2019). Morphological diversity of faba bean (Vicia faba L.) M2 mutant populations induced by gamma radiation and diethyl sulfate. Journal of King Saud University-Science. 32: 1647-1658.
  20. Nurmansyah, Alghamdi, S.S., Migdadi, H.M., Khan, M.A. and Afzal, M. (2020). AFLP-based analysis of variation and population structure in mutagenesis induced faba bean. Diversity. 12(8): 1-14. 
  21. Peakall, R. and Smouse, P.E. (2012). GenAlEx 65: Genetic Analysis in Excel Population Genetic Software for Teaching and Research-An Update. Bioinformatics. 28: 2537-2539.
  22. Redden, R. (2013). New approaches for crop genetic adaptation to the abiotic stresses predicted with climate change. Agronomy. 3: 419-432.
  23. Singh, P. K., Sadhukhan, R. (2019). Ems and gamma radiation induced mutation in grasspea (Lathyrus sativus L.). Legume Research. 42: 300-307.

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