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:: Volume 6, Issue 2 (2020) ::
pgr 2020, 6(2): 183-200 Back to browse issues page
Use of Restricted Maximum Likelihood Approach for Estimation of Genotypic Correlation and Heritability in Bread Wheat (Triticum aestivum L.) Under Water Deficit Stress
Saman Valizadeh , Ahmad Ismaili * , Hadi Ahmadi , Omid Ali Akbarpour , Bijan Bajalan , Ashkboos Amini
Department of Agronomy and Plant Breeding, Faculty of Agriculture, Lorestan University, Khorramabad, Iran. , ahmad_ismaili@yahoo.com
Abstract:   (11180 Views)
Wheat is mostly cultivated at rainfed condition in Iran, so, water deficit stress has much effect on yield reduction. Hence, breeding activities are necessary for introduction of wheat tolerant genotypes to water deficit stress. In order to estimate the heritability and genetic correlation between traits of 36 wheat genotypes, an experiment was conducted in two separate conditions (water stress and non-stress) based on a randomized complete blocks design with three replications. Studied traits in wheat genotypes under water stress and normal condition showed significant differences for environment, genotype and genotype× environment interaction at 1 and 5% level of probability. The results of the factor analysis showed that the 6 first factor in normal condition explained 81.13% of total variance, and the 5 first factor in stress condition explained 74.96% of total variance. Estimation of genetic correlations based on REML approach revealed that biological yield, harvest index and number of grains per spike had the highest correlation with grain yield and these characteristics are of important for selecting the varieties with high yield under non-stress and stress conditions. Estimation of heritability based on REML approach showed that number of days to heading had the highest amount of heritability in both normal and stress conditions.
Keywords: Factor analysis, Combined analysis of variance, Wheat, Heritability, Genetic correlation
Full-Text [PDF 3781 kb]   (1655 Downloads)    
Type of Study: Research | Subject: Plant genetics
References
1. Akbarpour, O.A. (2017). Application of variance components estimators in plant breeding. Plant Genetic Researches, 4: 1-24. [DOI:10.29252/pgr.4.1.1]
2. Akbarpour, O.A., Dehghani, H., Roosta, M.J. and Amini, A. (2014). Evaluation of some properties of Iranian wheat genotypes in normal and salt-stressed conditions using Restricted Maximum Likelihood (REML). Iranian Journal of Crop Sciences, 46(1): 57-69 (In Persian).
3. Crossa, J.H.G., Gauch, J. and Zobel, R.W. (1990). Additive main effects and multiplicative interaction analysis of two international maize cultivar trials. Crop Science, 30: 493-500. [DOI:10.2135/cropsci1990.0011183X003000030003x]
4. Darvishian, A., Ismaili, A., Nazarian-Firouzabadi, F., MirDrikvand, R. and Hosseinpour, T. (2016). Assessment of genetic diversity among wheat genotypes of west Iran, using randomized markers. Plant Genetic Researches, 2: 47-56. [DOI:10.29252/pgr.2.2.47]
5. FAO. (2010). FAO Statistical Database (FAOSTAT), Web site at URL: http://www.faostat.fao.org. Accessed 09 June 2010.
6. Gholizadeh, A. and Dehghani, H. (2014). The relationship between the various traits of bread wheat genotypes with biplot method. The First National Conference on the Sustainable Development of Agriculture Using Crop Pattern, Tehran, Iran.
7. Gupta, A.K., Mittal, R.K. and Ziauddin, A.Z. (1999). Association and factor analysis in spring wheat. Annals of Agriculture Research, 20: 481-485.
8. Heydari, B., Saeidi, G.H. and Tabatabaei, S. (2008). Factor analysis for quantitative traits and path analysis for grain yield in wheat. Journal of Science and Technology of Agriculture and Natural Resources, 11(42): 135-143.
9. Iqbal, M., Navabi, A., Salmon, D.F., Yang, R.C. and Spaner, D. (2007). Simultaneous selection for early maturity, increased grain yield and elevated grain protein content in spring wheat. Plant Breeding, 126: 244-250. [DOI:10.1111/j.1439-0523.2007.01346.x]
10. Khodadadi, M., Dehghani, H. and Fotokian, M.H. (2011). Evaluation of heritability, path analysis and factor analysis in winter wheat genotypes. Journal of Agriculture, 9: 66-67.
11. Kumar, Y., Lamba, R.A.S. and Balbir Singh, V.K. (2015). Variability parameters correlation and path analysis in wheat varieties for yield and components. International Journal of Environment and Ecology, 33(1B): 421-425.
12. Lynch, M. and Walsh, B. (1998). Genetics and Analysis of Quantitative Traits. Sinauer Associates, Inc., Sunderland, UK.
13. Mode, C.J. and Robinson, H.F. (1959). Pleiotropism and the genetic variance and covariance. Biometrics, 15: 518-537. [DOI:10.2307/2527650]
14. Mohseni, M., Mortazavian, S.M.M., Ramshini, H.A. and Fvghy, B. (2015). Evaluation of tolerance to drought in some wheat genotypes (Triticum aestivum L.) using selected indicators. Publication of the Researcher-Crops, 13: 542-524 (In Persian).
15. Mostafavi, Kh., Mohammadi, A., Khodarahmi, M., Zabet, M. and Zare, M. (2013). Yield response of comercial canola cultivars to different locations using graphical GGE biplot method. Journal of Agronomy and Plant Breeding, 8(4): 133-143.
16. Mousavi, S.S., Jalalifar, S., Abdullahi, M. and Chaichi, M. (2014). Evaluation of diversity and heritability of some morphological characters of wheat under drought stress conditions and favorable. Journal of Agriculture, 6(9): 37-54.
17. Reynolds, M., Condon, A.J., Rebetzke, G.J. and Richards, R.A. (2004). Evidence for Excess photosynthetic capacity and sink-limitation to yield and biomass in elite spring wheat. 4th International Crop Science Congress, Brisbane, Australia.
18. Richards, R.A. (1997). Defining selection criteria to improve yield under drought. Plant Growth Regulation, 20: 157-166. [DOI:10.1007/BF00024012]
19. Sadegh Ghoul Moghadam, R., Khodarahmi, M. and Ahmadi, Gh.H. (2011). Genetic diversity and factor analysis for performance and other morphological characters of wheat under drought conditions. Agronomy Journal, 7(1): 147-133 (In Persian).
20. Sayah, S.S., Ghobadi, M., Mansoorifar, S. and Zebarjadi, A.R. (2015). The yield of wheat genotypes associated with yield components under irrigated and drought stress after anthesis. Archives of Agronomy and Soil Sience, 12(61): 1743-1755 (In Persian). [DOI:10.1080/03650340.2014.1001751]
21. Taghizadegan, M., Nouruzi, M., Ahari Zad, S. and Syed Zavar, J. (2015). Evaluation of recombinant inbred lines of bread wheat in terms of some agricultural and morphological traits. Journal of Breeding Plants and Garden (Journal of Agriculture). (In Persian).
22. Tahmurespur, M. (2008). Principles of Quantitative Genetics and Its Problems. Ferdowsi University of Mashhad Press, Mashhad, IR (In Persian).
23. Talei, A. and Bahram Nejad, B. (2003). A Study of relationship between yield and its components in landrace populations of wheat from western parts of Iran using multivariate analysis. Journal Agriculture Science, 34(4): 959-966 (In Persian).
24. Tavakoli, A.R., Mahdavi Moghaddam, M. and Salemi, H.R. (2014). Effect of supplemental irrigation and nitrogen fertilizer on correlation coefficients and indicators of drought tolerance traits in wheat in dry land. Journal of Crop Production, 4: 159-143 (In Persian).
25. Tousi-Mojarad, M. and Bihamta, M.R. (2007). Evaluation of grain yield and other quantitative attributes in-bread wheat via factor analysis. Journal of Agriculture Science, 17: 97-107 (In Persian).
26. Tousi-Mojarad, M. and Bihamta, M.R. (2008). Grain yield and other quantitative traits in wheat through factor analysis. Journal of Agricultural Science, 17(2): 97-107 (In Persian).
27. Tripathi, G.P., Parde, N.S., Zate, D.K. and Lai, G.M. (2015). Remove from marked records genetic variability and heritability studies on bread wheat (Triticum aestivum L.). International Journal of Plant Sciences, 10(1): 57-59. [DOI:10.15740/HAS/IJPS/10.1/57-59]
28. Wright, S.P. (1998). Multivariate analysis using the MIXED procedure. 38th Annual SAS Users Group International Conference, Nashville, Tennessee, United States of America.
29. Yousif, S.A., Jasim, H., Abas, A.R. and Yousef, D.P. (2015). Some yield parameters of wheat genotypes. International Journal of Biological, Biomolecular, Agricultural, Food and Biotechnological Engineering, 19(3): 309-312.
30. Zargari, A. (1998). Plants Medicine. 6nd Ed. Tehran University Press, Tehran, IR (In Persian).
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Valizadeh S, Ismaili A, Ahmadi H, Akbarpour O A, Bajalan B, Amini A. Use of Restricted Maximum Likelihood Approach for Estimation of Genotypic Correlation and Heritability in Bread Wheat (Triticum aestivum L.) Under Water Deficit Stress. pgr 2020; 6 (2) :183-200
URL: http://pgr.lu.ac.ir/article-1-187-en.html


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Volume 6, Issue 2 (2020) Back to browse issues page
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