Assessment of drought tolerance and grain yield stability of rainfed winter bread wheat (Triticum aestivum L.) genotypes

Document Type : Research Paper


1 Dryland Agricultural Research Institute, Agricultural Research, Education and Extension Organization, Maragheh, Iran.

2 Dryland Agricultural Research Institute, Agricultural Research, Education and Extension Organization, Sararood Campus, Kermanshah, Iran.



Drought-tolerance and grain yield stability are among the most important aspects in adaptation and successful performance of rainfed winter bread wheat cultivars. The main objectives of this study were (i) to assess the effectiveness of drought tolerance indices for selection of drought-tolerant winter bread wheat genotypes, and (ii) to identify high-yielding genotypes with yield stability in variable environments. In this experiment, 24 winter bread wheat genotypes were evaluated in 12 yield trials under two moisture-regimes (rainfed and supplemental irrigation) in two dryland research stations differing in winter temperature (temperate and cold agro-climatic conditions) during three cropping cycles (2018-2021). Yield-based drought tolerance indices including; stress tolerance index (STI), geometric mean productivity (GMP), mean productivity (MP), tolerance index (TOL), stress susceptibility index (SSI) and yield stability index (YSI) were used to estimate drought tolerance levels of winter bread wheat genotypes across locations and cropping cycles. GGE-biplot technique was used for grain yield stability analysis. Combined-analysis of variance revealed that the main effects of cropping season, location, moisture-regime, genotype, and their interactions effects on grain yield were significant (P<0.01). The combined and yearly PCA-based biplots and correlation matrix analyses revealed that STI, GMP and MP were consistently correlated (P<0.01) with grain yield in either rainfed and irrigated environments, indicating the effectiveness of these indices for selection of high-yielding genotypes in both conditions. Based on these indices, G13 (Chenab/GB-SARA-27 IRW2009-10-023-0MA-0MA-0MA-0MA-0MA-6MA), G14 (Chenab/GB-SARA-27 IRW2009-10-023-0MA-0MA-0MA-0MA-0MA-7MA), G11 (Dharwar Dry/Nesser//SARA-BW-F6-06-85-86-2-5 IRW2009-10-056-0MA-0MA-0MA-0MA-0MA-6MA) and G22 (Unknown-2) were the most drought-tolerant genotypes. GGE-biplot analysis identified G11, G13 and G14 as high yielding genotypes with yield stability across environments. In conclusion, the genotypic variation for drought tolerance and grain yield stability found in this study should be further explored in the national rainfed winter bread wheat breeding programs in Iran.


Atlin, G. N. and Frey, K. J. 1990. Selecting oat lines for yield in low productivity environments. Crop Sci. 30: 556-561.
Ayed, S., Othmani, A., Bouhaouel, I. and. Teixeira da Silva, J. A. 2021. Multi-environment screening of durum wheat genotypes for drought tolerance in changing climatic events. Agron. 11: 875.
Bouslama, M. and Schapaugh, W. T. 1984. Stress tolerance in soybean. Part 1: evaluation of three screening techniques for heat and drought tolerance. Crop Sci. 24: 933-937.
Chairi, F., Aparicio, N., Serret M. D. and Araus, J. L. 2020. Breeding effects on the genotype × environment interaction for yield of durum wheat grown after the Green Revolution: The case of Spain. The Crop J. 8: 623-634.
Crespo-Herrera, L. A., Crossa, J., Huerta-Espino, J., Vargas, M., Mondal, S., Velu, G., Payne, T. S., Braun, H. and Singh, R. P. 2018. Genetic gains for grain yield in CIMMYT’s semi-arid wheat yield trials grown in suboptimal environments. Crop Sci. 58: 1890-1898.
da Silva, K. J., Teodoro, P. E., da Silva, M. J., Teodoro, L. P. R., Cardoso, M. J., Godinho, V. D. P. C., Mota, J. H., Simon, G. A., Tardin, F. D., da Silva A. R.,  Guedes, F. L. and de Menezes, C. B. 2021. Identification of mega-environments for grain sorghum in Brazil using GGE biplot methodology. Agron. J. 113: 3019-3030.
Dodig, D., Zoric, M., Kandic, V., Perovic D., and Momirovic G. S. 2012. Comparison of responses to drought stress of 100 wheat accessions and landraces to identify opportunities for improving wheat drought resistance. Plant Breed. 131: 369-379.
Fernandez, G. C. J. 1992. Effective selection criteria for assessing plant stress tolerance. pp. 257–270. In: Kus, E. G. (ed.) Proceedings of the adaptation of food crops to temperature and water stress. 4th International Symposium, Shantana, Taiwan, 13–16 August 1992. Asian Vegetable and Research and Development Center Publication.
Fischer, R. A. and Maurer, R. 1978. Drought resistance in spring wheat cultivars. I. Grain yield response. Aust. J. Agric. Res. 29: 897-912.
Foulkes, M. J., Slafer, G. A., Davies, W. J., Berry, P. M., Sylvester-Bradley, R., Martre, P., Calderini, D., Griffiths, S. and Reynolds, M. P. 2011. Raising yield potential of wheat. III. Optimizing partitioning to grain while maintaining lodging resistance. J. Exp. Bot. 62: 469-486.
Gauch, H. and Zobel, R. W. 1997. Identifying mega-environments and targeting genotypes. Crop Sci. 37: 311-326.
Gerard, G. S., Crespo-Herrera, L. A., Crossa, J., Mondal, S., Velu, G., Philomin, J., Huerta Espino, J., Vergas, M., Rhandawa, M. S., Bhavani, S., Braun, H. and Singh, R. P. 2020. Grain yield genetic gains and changes in physiological related traits for CIMMYT’s high rainfall wheat screening nursery tested across international environments. Field Crops Res. 249: 107742. DOI: 10.1016/j.fcr.2020.107742.
Grzesiak, S., Hordy´nska, N., Szczyrek, P., Grzesiak, M.T., Noga, A. and Szechy´nska-Hebda, M. 2019. Variation among wheat (Triticum aestivum L.) genotypes in response to the drought stress: I selection approaches. J. Plant Interact. 14: 30-44.
Hernandez-Ochoa, I. M., Asseng, S. B., Kassie, T., Xiong, W., Robertson, R., Luz Pequeno, D. N., Sonder, K., Reynolds, M., Babar, M. A., Milan, A. M. and Hoogenboom, G. 2018. Climate change impact on Mexico wheat production. Agric. For. Meteorol. 263: 373-387.
Hohls, T. 2001. Conditions under which selection for mean productivity tolerance to environment stress, or stability should be used to improve yield across a range of contrasting environments. Euphytica 120: 235-245.
Hossain, A. B. S., Sears, A. G., Cox, T. S. and Paulsen, G. M. 1990. Desiccation tolerance and its relationship to assimilate partitioning in winter wheat. Crop Sci. 30: 622-627.
Ahmadi, K., Ebadzadej, H. R., Hatami, F., Abdshah, H. and Kazemian, A. 2020. Agricultural statistics: 2018-19. Cropping cycle. 1st volume. Volume one. Field Crops. Information and Communication Technology Center, Deputy of Planning and Economy, Ministry of Jihad Agriculture. 95 pp. (in Persian).
Ludwig, F. and Asseng, S. 2010. Potential benefits of early vigor and changes in phenology in wheat to adapt to warmer and drier climates. Agric. Syst. 103: 127-136.
Mohammadi, R. 2018. Breeding for increased drought tolerance in wheat: A review. Crop Pasture Sci. 69: 223-241.
Mohammadi, R. 2016. Efficiency of yield-based drought tolerance indices to identify tolerant genotypes in durum wheat. Euphytica 211: 71-89.
Mohammadi, R., Armion, M., Kahrizi, D. and Amri, A. 2010. Efficiency of screening techniques for evaluating durum wheat genotypes under mild drought conditions. Inter. J. Plant Prod. 4 (1): 11-24.
Mohammadi, R., Sadeghzadeh, D., Armion, M., Amri, A. 2011. Evaluation of durum wheat experimental lines under different climate and water regime conditions of Iran. Crop Pasture Sci. 62: 137-151.
Munaro, L. B., Benin, G., Marchioro, V. S., de Assis Franco, F., Silva, R. R., da Silva, C. L. and Beche, E. 2014. Brazilian spring wheat homogeneous adaptation regions can be dissected in major mega-environments. Crop Sci. 54 (4): 1374-1383.
Mwadzingeni, L., Shimelis, H., Tesfay, S. and Tsilo, T. J. 2016. Screening of bread wheat genotypes for drought tolerance using phenotypic and proline analyses. Front. Plant Sci. 7: 1276. DOI: 10.3389/fpls.2016.01276.
Nouri, A., Etminan, A., Teixeira da Silva, J. A. and Mohammadi, R. 2011. Assessment of yield, yield-related traits and drought tolerance of durum wheat genotypes (Triticum turgidum var. durum Desf.). Aust. J. Crop Sci. 5: 8-16.
Pacheco, A., Vargas, M., Alvarado, G., Rodríguez, F., Crossa, J. and Burgueño J. 2016. GEA-R (genotype x environment analysis with R for windows), Version 2.0. CIMMYT. Mexico. Retrieved from
Porch, T. G., Ramirez, V. H., Santana, D. and W. Harmsen, E. 2009. Evaluation of common bean for drought tolerance in Juana Diaz, Puerto Rico. J. Agron. Crop Sci. 195: 328-334.
Rakshit, S., Ganapathy, K. N., Gomashe, S. S., Rathore, A., Ghorade, R. B. Nagesh Kumar M. V., Ganesmurthy, K., Jain, S. K., Kamtar, M. Y., Sachan, J. S., Ambekar, S. S., Ranwa, B. R., Kanawade, D. G., Balusamy, M., Kadam, D., Sarkar, A., Tonapi, V. A. and Patil, J. V. 2012. GGE biplot analysis to evaluate genotype, environment, and their interactions in sorghum multi-location data. Euphytica 185 (3): 465-479.
Ray, D. K., Mueller, N. D., West, P. C. and Foley J. A. 2013. Yield trends are insufficient to double global crop production by 2050. PLOS One 8: e66428. https:// doi:10.1371/journal.pone.0066428.
Rosielle, A. A. and Hamblin, J. 1981. Theoretical aspects of selection for yield in stress and non-stress environment. Crop Sci. 21: 943-946.
Shiferaw, B., Prasanna, B. M., Hellin, J. and Banziger, M. 2011. Crops that feed the world 6. Past successes and future challenges to the role played by maize in global food security. Food Secur. 3: 307-327.
Singh, C., Kumar, V., Prasad, I., Patil, V. R. and Rasjkumar, B. K. 2016. Response of upland cotton (G. hirsutum L.) genotypes to drought stress using drought tolerance indices. J. Crop Sci. Biotech. 19: 53-59.
Sio-Se-Mardeh, A., Ahmadi, A., Poustini, K. and Mohammadi, V. 2006. Evaluation of drought resistance indices under various environmental conditions. Field Crops Res. 98: 222–229.
Tollenaar, M. and Wu, J. 1999. Yield improvement in temperate maize is attributable to greater stress tolerance. Crop Sci. 39: 1597–1604.
Yan, W. and Kang, M. S. 2003. GGE biplot analysis: A graphical tool for breeders, geneticists, and agronomist. CRC Press Inc. Boca Raton, FL, USA. 271 pp.
Yan, W., Hunt, L. A., Sheng, Q. and Szlavnics, Z. 2000. Cultivar evaluation and mega-environment investigation based on GGE biplot. Crop Sci. 40: 597-605.
Yan, W. and Tinker, N.A. 2006. Biplot analysis of multi-environment trial data: Principles and applications. Can. J. Plant Sci. 86: 623-645.