Assessment of genetic diversity of bread wheat (Triticum aestivum L.) genotypes through cluster and principal component analysis

  • Ankur Poudel Institute of Agriculture and Animal Science, Tribhuvan University, Lamjung, Nepal
  • Dhruba Bahadur Thapa Agriculture and Botany Division, Nepal Agriculture Research Council, Khumaltar, Lalitpur, Nepal
  • Manoj Sapkota International Maize and Wheat Improvement Centre (CIMMYT), Nepal
Keywords: Cluster analysis, PCA, selection, Triticum aestivum, wheat

Abstract

Genetic variation of plants decides their potential for enhancement of the efficiency and consequently their utilization in breeding, which eventually may lead to increased food production. Diversity assessment can be performed through various process. This study was conducted with the aim to assess the variability of advanced wheat lines and identification as well as selection of superior genotypes with the help of different multivariate technique. 50 genotypes obtained from CIMMYT were used for study. Field experiment was conducted in Alpha Lattice design. Observation were taken for days to booting, days to heading, days to maturity, days to flag leaf senescence, thousand kernel weight, grain filling duration, flag leaf area, SPAD reading, number of grains per spike, grain weight per spike, plant height and grin yield. The present study confirmed that bread wheat genotypes showed wide amount of variations for the character studied and it also suggested that ample opportunities for genetic improvement of bead wheat genotypes through selection of superior genotypes. Selection of genotypes from Cluster 2 (Gautam andSOKOLL/ 3/ PASTOR// HXL7573/ 2*BAU/5/ CROC_1/AE.SQUARROSA(205)//BORL95/3/PRL/SARA//TSI/VEE#5/4/FRET2) would lead to selection of the superior genotypes and these genotypes can be considered of breeding operations as well as for further study for developing superior wheat genotypes.

References

Akhtar, S., Anjum, F. M. and Anjum, M. A. (2011). Micronutrient fortification of wheat flour: Recent development and strategies. F. Res. Int. 44: 652- 659.
Ali, M. A., Nawab, N. N., Rasool, G. and Saleem, M. (2008). Estimates of variability and correlations for quantitative traits in Cicer arietinum. J. Agric. Soc. Sci. 4: 177- 179.
Benadeki, S. (1992). Evaluation of genetic and geographic diversity of wheat genotypes of central region of Iran. M. Sc thesis, University of Tehran, Iran.
Bhatt, G. M. (1970). Multivariate analysis approach to selection of parents for hybridization aiming at yield component in self pollination crops. Aus. J. Agric. Rec. 21: 1-7.
Bhattarai, R. P., Thapa, D. B., Ojha, B. R., Kharel, R. and Sapkota, M. (2017). Cluster analysis of Elite spring wheat (Triticum aestivum L.) genotypes based on yield and yield attributing traits under irrigated condition. International Journal of Experimental Research and Review. 10: 9-14.
Carver, B. F., Smith, E. L. and England, H. O. (1987). Regression and cluster analysis of environmental responses of hybrid and pureline winter wheat cultivars. Crop science. 27(4): 659-664.
Chahal, G. S. and Gosal, S. S. (2002). Principles and Procedures of Plant Breeding: Biotechnology and Conventional Approaches. Narosa Publishing House. New Delhi, India. Pp. 604.
Coventry, D.R., Gupta, R. K., Yadav, A., Poswal, R. S., Chhokar, R. S., Sharma, R. K., Yadav, V. K., Gill, S. C., Kumar, A., Mehta, A., Kleemann, S. G. L., Bonamano, A., Cummins, J.A. (2011). Wheat quality and productivity as affected by varieties and sowing time in Haryana, India. Field Crop Res. 123: 214-225.
Degewione, A. and Alamerew, S. (2013). Genetic Diversity in Bread Wheat (Triticum aestivum L.) Geotypes. Pakistan Journal Of Biological Sciences. ISSN 1028-8880. DOI: 10.3923.
Eivazi, A. R., Naghavi, M. R., Hajheidari, M., Pirseyedi, S. M., Ghaffari, M. R., Mohammadi, S. A., Majidi, I., Salekdeh, G.H. and Mardi, M. (2007). Assessing wheat (Triticum aestivum L.) genetic diversity using quality traits, amplified fragment length polymorphisms, simple sequence repeats and proteome analysis. Ann. Appl. Biol. 152: 81- 91.
FAOSTAT database (2013). Food and Agriculture Organization of the United Nations, Retrieved from faostat.fao.org/default.aspx Jain, S. K., Qualset, C. O., Bhatt, G. M., Wu, K. K. (1975). Geographical patterns of phenotypic diversity in world collection of durum wheat. Crop. Sci. 15: 700-704.
Khodadadi, M., Fotokian, M. H., and Miransari, M. (2011). Genetic diversity of wheat (Triticum aestivum L.) genotypes based on cluster and principal component analyses for breeding strategies. Australian Journal of Crop Science. 5(1): 17.
Maqbool, R., Sajjad, M., Khaliq, I., Aziz-urRehman, Khan, A.S. and Khan, S.H.(2010). Morphological diversity and traits association in bread wheat (Triticum aestivum L.) Am. Eurasian J. Agric. Environ. Sci. 8: 216-224.
Mohammadi, S. A., Prasanna, B. M. (2003). Analysis of genetics diversity in crop plants: salient statistical tools and considerations. Crop Sci. 43: 1235- 1248.
Mwale V.M., Tang, X. and Chilembwe, E. (2016). Assessment of genetic diversity among sixty bread wheat (Triticum aestivum) cultivars using microsatellite markers. African Journal of Biotechnology. 15(21): 960- 973.
R Core Team (2016). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.
Sajjad, M., Khan, S. H. and Khan, A. S.(2011). Exploitation of germplasm for grain yield improvement in spring wheat (Triticumaestivum). Int. J. Agric Biol. 13: 695-700.
Pradhan, S., Sapkota, M. and Thapa, D. B. (2016). Wheat rust: The devastation and attempts to control over the years. International Journal of Experimental Research and Review (IJERR). 8: 9-22.
Zedfar, P. and Golabadi, M. (2013). Genetic Variability Assessment in Bread Wheat (Triticum aestivum L.) cultivars under Different Drought Stress Treatments using Multivariate Statistical Analysis. International Journal of Agriculture Innovations and Research. 2(3): 369-372.
Published
2017-06-30
How to Cite
Poudel, A., Thapa, D., & Sapkota, M. (2017). Assessment of genetic diversity of bread wheat (Triticum aestivum L.) genotypes through cluster and principal component analysis. International Journal of Experimental Research and Review, 11, 1-9. Retrieved from https://qtanalytics.in/journals/index.php/IJERR/article/view/1270
Section
Articles