GGE Biplot Analysis of Genotype by Environment Interaction and Grain Yield Stability of Bread Wheat Genotypes in Central Ethiopia

Gadisa A. Wardofa, Dawit Asnake, Hussein Mohammed

Abstract


GGE biplot is an effective method based on principal component analysis to fully explore mega-environments trials data. The study conducted was to identify the best performing, high yielding stable advanced bread wheat genotype for selection environments, the identification of mega-environments and analysis of the ideal genotype and environment by GGE biplot method. Fifteen bread wheat genotypes were evaluated using RCBD with four replications at six locations in Ethiopia. The results of combined analysis of variance for grain yield of fifteen bread wheat genotypes indicated that genotype, environment and GEI were highly significant (P<0.001). The factors explained showed bread wheat genotypes grain yield was affected by environment (35.28%), genotype (33.46%) and GEI (31.45%). The first two PC axes of GGE explained 88.7% of G+GEI and divided the six locations into three major groups: Group1 included Asasa, Kulumsa and Arsi Robe (moderately discriminating locations); Group2 had the highland wheat producing locations Holeta and Bekoji (most discriminating locations), while Group3 contain Dhera (least discriminating location), a moisture stress location in the rift valley. Locations within the same group were closely correlated and provided redundant information about the genotypes. Testing can be performed in any one of the locations within a group. Genotype ETBW8078 and ETBW8459 were more stable as well as low yielding. Considering simultaneously yield and stability, genotype ETBW9045 and Hiddase showed the best performances suggesting their adaptation to a wide range of environments. Lemu, ETBW8084 and ETBW8065 were considered as desirable. Genotype ETBW8075 was the least stable with low yield and had a large contribution to the GEI, having the longest distance from the average environment. ETBW9470 was specifically adapted to Group1 locations while ETBW8070 was adapted to Group2 environments. Based on yield performance advanced lines ETBW9470 and ETBW8070 are recommended to be included in variety verification trials for further release.


Keywords


Adapted; Discriminating; Grain yield; Stable

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References


Akter, A., M. J. Hasan, U. Kulsum, M. H. Rahman, M. Khatun and M. R. Islam. 2015. GGE Biplot Analysis for Yield Stability in Multi-environment Trials of Promising Hybrid Rice (Oryza sativa L.). Bangladesh Rice Journal, 19: 1-8.

https://doi.org/10.3329/brj.v19i1.25213

Central Statistical Agency. 2014. Report on Area and Crop Production forecast for Major Crops (for private Peasant Holdings ’Meher’ season). Addis Ababa, Ethiopia.

Dehghani, H., S. H. Sabaghpour and A. Ebadi. 2010. Study of Genotype × Environment Interaction for Chickpea Yield in Iran. Agronomy Journal, 102: 1.

https://doi.org/10.2134/agronj2009.0156

Farshadfar, E., R. Mohammadi, M. Aghaee and Z. Vaisi. 2012. GGE biplot analysis of genotype x environment interaction in wheat-barley disomic addition lines. Australian Journal of Crop Science, 6: 1074-79.

Francis, T. R. and L. W. Kannenberg. 1978. Yield stability studies in short-season maize.: II. Relationship to plant-to-plant variability. Canadian Journal of Plant Science, 58: 1035-39.

https://doi.org/10.4141/cjps78-158

Gauch, H. 2006. Winning the Accuracy Game. American Scientist, 94: 133.

https://doi.org/10.1511/2006.2.133

Gauch, H. G., H.-P. Piepho and P. Annicchiarico. 2008. Statistical Analysis of Yield Trials by AMMI and GGE: Further Considerations. Crop Science, 48: 866.

https://doi.org/10.2135/cropsci2007.09.0513

Karimizadeh, R., M. Mohammadi, N. Sabaghnia, M. K. Shefazadeh and J. Pouralhossini. 2012. Univariate stability analysis methods for determining genotype × environment interaction of durum wheat grain yield. African Journal of Biotechnology, 11: 2563–73.

https://doi.org/10.5897/AJB11.3093

Kaya, Y., M. Akcura and S. Taner. 2006. GGE-biplot analysis of multi-environment yield trials in bread wheat. Turkish Journal of Field Crops, 30: 325-37.

Mehari, M., M. Tesfay, H. Yirga, A. Mesele, T. Abebe, A. Workineh and B. Amare. 2015. (GGE) biplot analysis of genotype-by-environment interaction and grain yield stability of bread wheat genotypes in South Tigray, Ethiopia. Communications in Biometry and Crop Science, 10: 17-26.

Melkamu, T., A. Sentayehu and E. Firdissa. 2015. GGE Biplot Analysis of Genotype by Environment Interaction and Grain Yield Stability of Bread Wheat Genotypes in South East Ethiopia. World Journal of Agricultural Sciences, 11: 183-90.

Mitrović, B., D. Stanisavljević, S. Treskić, M. Stojaković, M. Ivanović, G. Bekavac and M. Rajković. 2012. Evaluation of experimental maize hybrids tested in multi-location trials using AMMI and GGE biplot analyses. Turkish Journal of Field Crops, 17: 35-40.

Mohamed, N. E. and A. A. Ahmed. 2013. Additive main effects and multiplicative interaction and GGE biplot analysis of genotype × environment interactions for grain yield in bread wheat (Triticum aestivum L.). African Journal of Agricultural Research, 8: 5197-203.

Sharma, R. C., A. I. Morgounov, H. J. Braun, B. Akin, M. Keser, D. Bedoshvili, A. Bagci, C. Martius and M. van Ginkel. 2010. Identifying high yielding stable winter wheat genotypes for irrigated environments in Central and West Asia. Euphytica, 171: 53-64.

https://doi.org/10.1007/s10681-009-9992-6

Shiferaw, B., M. Smale, H.-J. Braun, E. Duveiller, M. Reynolds and G. Muricho. 2013. Crops that feed the world 10. Past successes and future challenges to the role played by wheat in global food security. Food Security, 5: 291-317.

https://doi.org/10.1007/s12571-013-0263-y

Shukla, G. K. 1972. Some statistical aspects of partitioning genotype-environmental components of variability. Heredity, 29: 237-45.

https://doi.org/10.1038/hdy.1972.87

Tarakanovas, P. and V. Ruzgas. 2006. Additive main effect and multiplicative interaction analysis of grain yield of wheat varieties in Lithuania. Agronomy Research, 4: 91-98.

Temesgen, B., A. Sintayew and T. Zerihun. 2015. Genotype X Environment Interaction and Yield Stabliity of Bread Wheat (Triticum Eastivum L.) Genotype in Ethiopia using the Ammi Analysis. Journal of Biology, Agriculture and Healthcare, 5: 129-39.

Yan, J., Y. Zhang and Z. H. He. 2001. Investigation on paste property of Chinese wheat. Scientia Agricola, 34: 9-13.

Yan, W. 2001. GGEbiplot—A Windows Application for Graphical Analysis of Multienvironment Trial Data and Other Types of Two-Way Data. Agronomy Journal, 93: 1111.

https://doi.org/10.2134/agronj2001.9351111x

Yan, W. and L. A. Hunt. 2001. Interpretation of Genotype × Environment Interaction for Winter Wheat Yield in Ontario. Crop Science, 41: 19.

https://doi.org/10.2135/cropsci2001.41119x

Yan, W., L. A. Hunt, Q. Sheng and Z. Szlavnics. 2000. Cultivar Evaluation and Mega-Environment Investigation Based on the GGE Biplot. Crop Science, 40: 597.

https://doi.org/10.2135/cropsci2000.403597x

Yan, W. and M. S. Kang. 2003. GGE biplot Analysis: a Graphical Tool for Breeders, Geneticists and Agronomists CRC Press LLC: Boca Roton, Florida.

Yan, W., M. S. Kang, B. Ma, S. Woods and P. L. Cornelius. 2007. GGE Biplot vs. AMMI Analysis of Genotype-by-Environment Data. Crop Science, 47: 643.

https://doi.org/10.2135/cropsci2006.06.0374

Yan, W. and I. Rajcan. 2002. Biplot Analysis of Test Sites and Trait Relations of Soybean in Ontario. Crop Science, 42: 11.

https://doi.org/10.2135/cropsci2002.1100

Yan, W. and N. A. Tinker. 2006. Biplot analysis of multi-environment trial data: Principles and applications. Canadian Journal of Plant Science, 86: 623-45.

https://doi.org/10.4141/p05-169




DOI: https://doi.org/10.33687/pbg.007.02.2846

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