Genotype X Environment Interaction and Yield Stability of Bread Wheat Genotypes in central Ethiopia

Gadisa A. Wardofa, Hussein Mohammed, Dawit Asnake, Tesfahun Alemu

Abstract


The present study was conducted to interpret Genotype main effect and GEI obtained by AMMI analysis and group the genotype having similar response pattern over all environments. Fifteen bread wheat genotypes were evaluated by RCBD using four replications at six locations in Ethiopia. The main effect differences among genotypes, environments, and the interaction effects were highly significant (P ≤ 0.001) for the total variance of grain yield. Results of AMMI analysis of mean grain yield for the six locations showed significant differences (P<0.001) among the genotypes, environments and GEI. The environment had the greatest effect with the environmental sum of squares (35.28%) than the genotypes (33.46%) and GEI (31.45%) effect. The AMMI analysis for the IPCA1 captured 46.1% and the IPCA2 explained 28.6%. The two IPC cumulatively captured 74.7% of the sum of square the GEI of bread wheat genotypes, when the IPCA1 was plotted against IPCA2. The genotype ETBW8075, ETBW8070 and ETBW9470 were unstable as they are located far apart from the other genotypes in the biplot when plotted on the IPCA1 and IPCA2 scores. The ETBW8078, ETBW8459, Hidase and ETBW8311 were genotype located near to the origin of the biplot which implying that it was stable bread wheat genotypes across environments. There is closer association between Lemu and ETBW8065 which indicate similar response of the genotypes to the environment. The best genotype with respect to location Kulumsa was ETBW9470, ETBW8075 was the best genotype for Dhera, ETBW8070 was the best genotype for Holeta while ETBW9466 was the best genotype for Arsi Robe. Arsi Robe and Kulumsa is the most favorable environment for all genotypes with nearly similar yield response for grain yield.


Keywords


Genotype; AMMI; GEI; IPCA; Location

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References


Adugna, W. and M. T. Labuschagne. 2002. Genotype-environment interactions and phenotypic stability analyses of linseed in Ethiopia. Plant Breeding, 121: 66-71.

https://doi.org/10.1046/j.1439-0523.2002.00670.x

Akçura, M., Y. Kaya and S. Taner. 2009. Evaluation of durum wheat genotypes using parametric and nonparametric stability statistics. Turkish Journal of Field Crops, 14: 111-22.

Atta, B. M., T. M. Shah, G. Abbas and M. A. Haq. 2009. Genotype x environment interaction for seed yield in kabuli chickpea (Cicer arietinum L.) genotypes developed through mutation breeding. Pakistan Journal of Botany, 41: 1883-90.

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

Crossa, J., H. G. Gauch and R. W. Zobel. 1990. Additive Main Effects and Multiplicative Interaction Analysis of Two International Maize Cultivar Trials. Crop Science, 30: 493.

https://doi.org/10.2135/cropsci1990.0011183x003000030003x

Fan, X.-M., M. S. Kang, H. Chen, Y. Zhang, J. Tan and C. Xu. 2007. Yield Stability of Maize Hybrids Evaluated in Multi-Environment Trials in Yunnan, China. Agronomy Journal, 99: 220.

https://doi.org/10.2134/agronj2006.0144

Farshadfar, E. 2008. Incorporation of AMMI Stability Value and Grain Yield in a Single Non-Parametric Index (GSI) in Bread Wheat. Pakistan Journal of Biological Sciences, 11: 1791-96.

https://doi.org/10.3923/pjbs.2008.1791.1796

Gauch, H. G. 1992. Statistical Analysis of Regional Trials, AMMI Analysis of Factorial DesignsElsevier. Amsterdam, the Netherlands. pp. 278.

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

Gauch, H. G. and R. W. Zobel. 1997. Identifying Mega-Environments and Targeting Genotypes. Crop Science, 37: 311.

https://doi.org/10.2135/cropsci1997.0011183x003700020002x

Mitrovic, B., D. Stanisavljevic, S. Treskic, M. Stojakovic, G. Bekavac, A. Nastasic and M. Ivanovic. 2011. GGE biplot analysis of multi-environment trials of NS maize hybrids. Ratarstvo i povrtarstvo, 48: 77-82.

https://doi.org/10.5937/ratpov1101077m

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.

Mohammadi, M., R. Karimizadeh, N. Sabaghnia and M. K. Shefazadeh. 2012. Genotype× environment interaction and yield stability analysis of new improved bread wheat genotypes. Turkish Journal of Field Crops, 17: 67-73.

Mohammadi, R., M. Roostaei, Y. Ansari, M. Aghaee and A. Amri. 2010. Relationships of phenotypic stability measures for genotypes of three cereal crops. Canadian Journal of Plant Science, 90: 819-30.

https://doi.org/10.4141/cjps09102

Purchase, J. L. 1997. Parametric analysis to describe genotype x environment interaction and yield stability in winter wheat, University of Free State. Bloemfontein, South Africa.

Purchase, J. L., H. Hatting and C. S. van Deventer. 2000. Genotype × environment interaction of winter wheat (Triticum aestivum L.) in South Africa: II. Stability analysis of yield performance. South African Journal of Plant and Soil, 17: 101-07.

https://doi.org/10.1080/02571862.2000.10634878

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

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, M., S. Alamerew and F. Eticha. 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.

Thillainathan, M. 2001. SAS Applications for Tai's Stability Analysis and AMMI Model in Genotype Environmental Interaction (GEI) Effects. Journal of Heredity, 92: 367-71.

https://doi.org/10.1093/jhered/92.4.367

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




DOI: https://doi.org/10.33687/pbg.007.02.2847

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Journal of Plant Breeding and Genetics
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