Stability analysis of bread wheat genotypes (Triticum aestivum L.) by GGE biplot

Document Type : Research Paper

Authors

1 M. Sc. Student, Dept. of Agronomy and Plant Breeding, Faculty of Agriculture, University of Razi, Kermanshah, Iran

2 Prof., Dept. of Agronomy and Plant Breeding, Faculty of Agriculture, University of Razi, Kermanshah, Iran

Abstract

Biplot related to the effects of genotype and genotype × environment is called GGE biplot. This method is used to assess the stability of genotypes. In this methodology, selection of sustainable varieties is based on genotype and genotype by environment interaction effects. In this research, the stability of 18 bread wheat genotypes was investigated in six environments (three years and two environmental conditions, irrigated and rainfed). The experiment was carried out in randomized complete block design with three replications under both conditions in experimental field of Faculty of Agriculture, Razi University, Kermanshah, Iran, during three years (2010-2012 and 2014-2015). The results of combined analysis of variance showed that the environment, genotype and genotype by environment interaction effects were 75%, 5.9% and 14.9% of total variance, respectively. Pishtaz and WC-4530 genotypes were the nearest genotypes to ideal genotype. Due to the high correlation between E1 (rainfed condition, 2010-2011) and E2 (irrigated condition, 2010-2011) and among E5 (rainfed condition, 2014-2015), E3 (rainfed condition, 2011-2012) and E4 (irrigated condition, 2011-2012), these environments were identified as similar environments. Simultaneous evalution of stability and yield of the studied genotypes showed that WC-4530 is stable and high yielding genotype. View of polygon graph revealed five superior genotypes and three mega-environments, and the compatible genotypes were determined for each mega-environment. All experimental environments had good differentiation ability.

Keywords


Croosa, J., Gauch, H. G. and Zobell, R.W. 1990. Additive main effects andmultiplicative interaction analysis of international maize cultivar trials. Crop Science 30: 493-500.##Ebadi Segherloo, A., Sabaghpour, S.H., Dehghani, H. and Kamrani, M. 2010. Screening of superior chickpea genotypes for various environments of Iran using genotype plus genotype × environment (GGE) biplotanalysis. Journal of Plant Breeding and Crop Science 2 (9): 286-292.##Falconer, D. S. 1981. Introduction to quantitive genetics. 2nd Ed. Longman, London, UK.##Farshadfar, E. 1998.The application of quantitative genetics in plant breeding. Razi University Press. Kermanshah, Iran. (In persian).##Farshadfar, E. 2015.The interaction effect of genotype and environment in plant breeding. 1st Vol. Islamic Azad University Press, Kermanshah, Iran. (In persian).##Gabriel, K. R. 1971. The biplot graphic display of matrices with application toprincipal component analysis.Biometrika 58: 453-467.##Gauch, H. G. and Zobel, R. W. 1996. Identifying mega-environments and targetinggenotypes. Crop Science 37: 311-326.##Ghodrati Niyari, F. and Abdolshahi, R.2014.Evaluation of seedperformance stableness in 40 bread wheatgenotypes (Triticum aestivumL.) by additivemain effects and multiplicative interaction effect (AMMI). IranianJournal of AgriculturalSciences (4): 322-333. (In Persian with English Abstract).##Grafius, J. E. and Thomas, R. L. 1971. The case for indirect genetic control ofsequential traits and the strategy of deployment of environmental resources by theplam. Heredity 27: 433-442.##Jalal Kamali, M. R. 2008.A review of the world wheat situation in the past, present and future. Key Articles of The 10th Iranian Congress of Agronomy and Plant Breading Sciences. pp: 23-45 (In persian).##Kochaki, A. R., Sorkhi Lalahlou, B. and Eslamzadeh Hesari,M. R. 2012. Performance stableness of favourable barley genotypes in cold regions of Iran by GGE biplot. Seedand Plant Improvement Journal 28 (4): 533-543. (In Persianwith English Abstract).##Monneveux, P. and Belhassen, E. 1996. The diversity of drought adaptation in wide. Plant Growth Regulation 20: 85-92.##Morris, C.F., Campbell, K.G. and King, G.E. 2004. Characterization of the end-use quality of soft wheat cultivars from the eastern and western US germplasm pools. Plant Genetic Resources 2: 59-69.##Pham, H. N. and Kang, M. S. 1988. Interrelationships among and repeatability ofseveral stability statistics estimated from international maize trials. Crop Science 28: 925-928.##Roustaei, M., Sadeghzadeh Ahari, D., Hesami, A., Soleimani, K., Pashapour, N., Mahmoudi, H. K., Poursiyahbidi, M. M., Masoud Ahmadi, M., Hasanpour Hasani, M. and Abedi Asl, Gh. 2003.Checking compatibility and performance stableness of bread wheat genotypes in cold and temperate dry regions. Seedand Plant Improvement Journal19 (2): 263-280. (In Persianwith English Abstract).##Sadegzadeh Ahari, D., Hossaini, K. and Alizadeh, K. 2005. Study of adaptability and stability of durum wheat lines in tropical and sub-tropical dry land areas. Seedand Plant Improvement Journal 21 (4): 561-576. (In Persianwith English Abstract).##Saleem, R., Ashraf, M., Khalil, I. A., Anees, M. A., Javed, H. I. and Saleem, A. 2016. GGE Biplot: A windows based graphical analysis of yield stability and adaptability of millet cultivars across Pakistan. Academia Journal of Biotechnology 4(5): 186-193.##Setimela, P.S., Vivek, B., Banziger, M., Crossa, J. and Maideni, F. 2007.Evaluation of early to medium maturing open pollinated maize varieties in SADC region using GGE biplot based on the SREG model. Field Crops Research 103: 161-169.##Sharma, R. C., Morgounov, A. I., Braun, H. J., Akin, B., Keser, M., Bedoshvili, D., Bagci, A., Martius, C. and van Ginkel M. 2010. Identifying high yielding stable winter wheat genotypes for irrigated environments in central and west Asia. Euphytica 171: 53-64.##Temesgen, M., Alamerew, S. and Eticha, F. 2015. GGE biplot analysis of genotype by environment interaction and grain yield stability of bread wheat genotypes in south east Ethiopia. Agricultural Sciences 11 (4): 183-190.##Yan, W. 2001. GGE biplot: A widows application for graphical analysis of multi-environment trial data and other types of two-way data. Agronomy Journal 93: 1111-1118.##Yan, W., Fregeau-Reid, J. A., Pageau, D., Martin, R. A., Mitchell Fetch, J. W.,Etienne, M., Rowsell, J., Scott, P., Price, M., de Haan, B., Cummiskey, A.,Lajeunesse, J., Durand, J. and Sparry, E. 2010. Identifying essential testlocations for oat breeding in eastern Canada. Crop Science 50: 504-515.##Yan, W., Hunt, L. A., Sheng, Q. and Szlavnics, Z. 2000. Cultivar evaluation and mega-environment investigations based on the GGE biplot. Crop Science 40: 597-605.##Yan, W. and Kang, M. S. 2003. GGE biplot analysis: A graphical tool for breeders, geneticists and agronomists. CRC Press, Boca Raton, USA.##Yan, W. and Rajcan, I. 2002. Biplot analysis of test sites and trait relations of soybean in Ontario. Crop Science 42: 11-20.##Zeleke, A. A. and Berhanu, F. A. 2016. AMMI and GGE models analysis of stability and GEI of common bean (Phaseolus vulgaris L.) lines in Ethiopia. Journal of Biology, Agriculture and Healthcare 6 (9): 127-135.