EVALUATION OF WHEAT GENOTYPE STABILITY THROUGH GGE BIPLOT ANALYSIS
Predrag Brković, Mirela Matković Stojšin, Violeta Mickovski Stefanović1, Jelena Damnjanović, Kamenko Bratković, Veselinka Zečević, Svetlana Roljević Nikolić
Abstracts
Under pronounced climate changes, identifying wheat genotypes with high yield potential and high stability across environments is becoming essential. A multi-environment trial (MET) with 15 wheat genotypes was conducted across three localities (Pančevo, Kragujevac, and Kruševac) during two growing seasons (2022/2023 and 2023/2024). The study evaluated genotype stability and adaptability for the number of grains per spike and assessed the discriminatory power of the test environments. The GGE biplot presented the combined genotype (G) + genotype × environemtnt (GE) effects, with PC1 and PC2 explaining 58.88 and 19.98% of the total variation, respectively. The spelt wheat lines achieved the highest values for the number of grains per spike and were positioned closest to the “ideal genotype”. Among the bread wheat genotypes, the line KG-40/1 showed the highest value and was narrowly adapted to the environmental conditions of Pančevo and Kragujevac in 2022/2023 season. The genotypes KG-9/1, KG-43/1, and NS 40S demonstrated high stability and high numbers of grains per spike. Environment Pančevo 2023/2024 exhibited the greatest representativeness and discriminative ability, making it the most suitable for genotype evaluation. These findings provide a practical basis for selecting stable and well-adapted genotypes in future wheat breeding programs.
Keywords
Multi-environment trial (MET), Adaptability, Stability, G × E interaction.
Acknowledgment
This research is financially supported by the Ministry of Science, Technological Development, and Innovation of the Republic of Serbia, under grant number: 451-03- 136/2025-03/200054.
References
- 1. Begna, T. (2020). The Role of Genotype by Environmental Interaction in Plant Breeding. Int. J. Agric. Biosci., 9, 209-215.
- 2. Bishwas, K.C., Poudel, M.R., Regmi, D. (2021). AMMI and GGE Biplot Analysis of Yield of Different Elite Wheat Line under Terminal Heat Stress and Irrigated Environments. Heliyon, 7, e07206. doi: 10.1016/j.heliyon.2021.e07206 Bratković, K., Luković, K., Perišić, V., Savić, J., Maksimović, J., Adžić, S., Rakonjac, A., Matković Stojšin, M. (2024). Interpreting the Interaction of Genotype with Environmental Factors in Barley Using Partial Least Squares Regression Model. Agronomy, 14(1), 194. doi: 10.3390/agronomy14010194 Erenstein, O., Jaleta, M., Mottaleb, K.A., Sonder, K., Donovan, J., Braun, H.J. (2022). Global Trends in Wheat Production, Consumption and Trade. In: Reynolds, M.P., Braun, HJ. (Eds.) Wheat Improvement. Springer, Cham. doi: 10.1007/978-3-030-90673-3_4 FAO (2025). FAOSTAT: Crops and livestock products. Food and Agriculture Organization of the United Nations. www.fao.org/faostat/en/#data/QCL (accessed on 1 December 2025) Mansour, H.A., El, S., Mohamed, S., Lightfoot, D.A. (2020). Molecular studies for drought tolerance in some Egyptian wheat genotypes under different irrigation systems. Open Agriculture, 5(1), 280-290. doi: 10.1515/opag-2020-0030 Mullualem, D., Tsega, A., Mengie, T., Fentie, D., Kassa, Z., Fassil, A., Wondaferew, D., Gelaw, T.A., Astatkie, T. (2024). Genotype-by-environment interaction and stability analysis of grain yield of bread wheat (Triticum aestivum L.) genotypes using AMMI and GGE biplot analyses. Heliyon, 10, e32918. doi: 10.1016/j.heliyon.2024.e32918 Olivoto, T., Lúcio, A.D. (2020). Metan: An R package for multi-environment trial analysis.
- 3. Methods Ecol. Evol., 11, 783-789. doi:10.1111/2041-210X.13384 Omrani, A., Omrani, S., Khodarahmi, M., Shojaei, S.H., Illés, Á., Bojtor, C., Mousavi, S.M.N., Nagy, J. (2022). Evaluation of Grain Yield Stability in Some Selected Wheat Genotypes Using AMMI and GGE Biplot Methods. Agronomy, 12(5), 1130. doi: 10.3390/agronomy12051130
- 4. Philipp, N., Weichert, H., Bohra, U., Weschke, W., Schulthess, A.W., Weber, H. (2018). Grain number and grain yield distribution along the spike remain stable despite breeding for high yield in winter wheat. PLoS ONE, 13, e0205452. R Project for Statistical Computing, Version 4.3.2 (2023-10-31 ucrt); R Foundation for Statistical Computing: Vienna, Austria, 2022. www.R-project.org/ (accessed on 25 July 2025). Republic Hydrometeorological Service of Serbia. www.hidmet.gov.rs/ (accessed on 15 June 2025) Saeidnia, F., Majidi, M.M., Mirlohi, A. (2017). Genetic analysis of stability in poly-crossed populations of orchardgrass.
- 5. Crop Sci. 57, 2828-36. doi: 10.2135/cropsci2017.01.0020 Saeidnia, F., Taherian, M., Nazeri, S.M. (2023). Graphical Analysis of Multi Environmental Trials for Wheat Grain Yield Based on GGE-Biplot Analysis under Diverse Sowing Dates. BMC Plant Biol., 23, 198. doi: 10.1186/s12870-023-04197-9 Serrago, R.A., Carrera, C.S., Savin, R., Slafer, G.A. (2025). Is the Relationship between Grain Number and Spike Dry Weight Linear? Insights from Larger Spikes in Wheat.
- 6. Crop J., 13, 636- 640. doi: 10.1016/j.cj.2024.12.007 Slafer, G.A., Foulkes, J.M., Reynolds, M.P., Murchie, E.H., Carmo-Silva, E., Flavell, R., Gwyn, J., Sawkins, M., Griffiths, S. (2023). A ‘wiring diagram’ for sink strength traits impacting wheat yield potential. Journal of Experimental Botany, 74(1), 40-71.
- 7. Taherian, M., Saeidnia, F., Hamid, R., Nazeri, S.M. (2024). Identification of High-Yielding and Stable Cultivars of Wheat under Different Sowing Dates: Comparison of AMMI and GGE-Biplot Analyses. Heliyon, 10, e39599. doi: 10.1016/j.heliyon, 39599 UN-DESA. (2024). World population prospects 2019.
- 8. United Nations. https://population.un.org/wpp/ Xu, Z., Lai, X., Ren, Y., Yang, H., Wang, H., Wang, C., Xia, J., Wang, Z., Yang, Z., Geng, H., Shi, X., Zhang, Y. (2023). Impact of Drought Stress on Yield-Related Agronomic Traits of Different Genotypes in Spring Wheat. Agronomy, 13(12), 2968. doi: 10.3390/agronomy13122968 Yan, W., Hunt, L.A., Sheng, Q., Szlavnics, Z. (2007). Cultivar Evaluation and Mega-Environment Investigation Based on the GGE Biplot.
- 9. Crop Sci. 47, 27-40.
- 10. Zečević, V., Bošković, J., Milenković, S., Matković Stojšin, M., Balijagić, J., Đukić, N., Knežević, D. (2018). Phenotypic Variability of Yield Components of Triticum spelta in Organic Production. Agric. For., 64, 71-78. doi: 10.17707/AgricultForest.64.3.06