Investigating the water deficit stress tolerance in a segregating population of bread wheat using genotype × trait biplot

Document Type : Research Paper

Authors

1 Graduate Ph.D. Student, Department of Plant Breeding and Biotechnology, Faculty of Agriculture, Tabriz University, Tabriz, Iran

2 Professor, Department of Plant Breeding and Biotechnology, Faculty of Agriculture, Tabriz University, Tabriz, Iran

3 Associate Professor, Department of Plant Breeding and Biotechnology, Faculty of Agriculture, Tabriz University, Tabriz, Iran

Abstract

Introduction
Water deficit compared to other abiotic stresses is the most important factor limiting the growth and production in all crops, especially wheat. Investigating the response of crop plants under stress conditions is the best way to produce drought-tolerant cultivars and improve yield under stress conditions. The challenge of breeding for drought stress tolerance in all crop plants, is to achieve a rapid screening method of genotypes and genetic improvement of yield under these difficult environmental conditions. The objective of this experiment was to identify high-yielding and water deficit tolerant genotypes in an F4 generation population of bread wheat.
Materials and methods
The plant materials of this experiment were 90 genotypes of the F4 generation resulting from a cross between two bread wheat cultivars (Arta, a spring cultivar sensitive to salinity and drought stresses, and Arg, a tolerant cultivar to salinity and drought stresses). These genotypes along with the parents, were evaluated in split plots based on randomized complete block design with three replications under two conditions (normal irrigation and non-irrigation from the pollination stage) in the research farm of Faculty of Agriculture, Tabriz University, Tabriz, Iran, in 2014. Evaluating the genotypes were done by simultaneous application of stress tolerance index (STI) based on yield-related traits including grain yield (STI-Y), spike weight (STI-S), 1000-grain weight (STI-1000) and harvest index (STI-HI) and identifying the relationship between these indices using genotype × trait biplot analysis. The studied genotypes were ranked based on the relationships in the biplot, and the high yield and water deficit tolerant genotypes were identified.
Research findings
The results of biplot showed that the first two principal components explained 72% (46% and 26%, respectively) of total variance in the studied population. Acute and closed angle between the STI-Y, STI-S and STI-HI vectors indicated a positive correlation between these traits, while the open and obtuse angle between the STI-Y and STI-HI traits with STI-1000 showed a negative correlation between them. In contrast, an quadrant angle was observed between STI-S and STI-1000 vectors, indicating that these two traits were independent and uncorrelated. In total, according to the relationships in the biplot and based on the combination of STI-Y and STI-1000 vectors, genotypes No. 84, 45, 89 and 15 were identified and introduced as the highest grain yield and most water deficit tolerant genotypes.
Conclusion
The results of this experiment led to identification of superior and promising genotypes with higher yield potential and more tolerance to water deficit stress. Genotypes No. 84, 45, 89 and 15, which were superior to the stress-tolerant parent, after the purification steps, can be introduced as suitable genotypes for cultivation under water stress conditions as well as in normal environments. These genotypes can be used as drought tolerant parental lines in future breeding programs.

Keywords

References

Abdi, H. and Taheri Mazandarani, M. 2016. Study of drought tolerance in bread wheat cultivars using biplot. International Journal of Life-Sciences Scientific Research  2: 651-657.##Abdolshahi, R., Nazari, M., Safarian, A., Sadathossini, T.S., Salarpour M. and Amiri, H.  2015. Integrated selection criteria for drought tolerance in wheat (Triticum aestivum L.) breeding programs using discriminant analysis. Field Crops Research 174: 20-29.##Aktaş, H. 2016. Drought tolerance indices of selected landraces and bread wheat (Triticum aestivum L.) genotypes derived from synthetic wheats. Applied Ecology and Environmental Research 14: 177-189.##Bhargava, S. and Sawant, K. 2013. Drought stress adaptation: Metabolic adjustment and regulation of gene expression. Plant Breeding 132: 21-32.##Clarke, J.M. and Townley-Smith, T.F. 1984. Screening and selection techniques for improving drought resistance. In: Vose, P.B. and Blixt, S.G. (Eds.). Crop breeding:  A contemporary basis. Pergamon Press. pp: 137-162.##Datta, J.K., Mondal, T., Banerjee, A. and Mondal, N.K. 2011. Assessment of drought tolerance of selected wheat cultivars under laboratory condition. Journal of Agricultural Science and Technology 7: 383-393.##Farshadfar, E., Jamshidi, B. and Aghaee, M. 2012. Biplot analysis of drought tolerance indicators in bread wheat landraces of Iran. International Journal of Agriculture and Crop Sciences 4: 226-233.##Fernandez, G.C. 1992. Effective selection criteria for assessing plant stress tolerance. Proceedings of the International Symposium on Adaptation of Vegetables and Other Food Crops in Temperature and Water Stress. August 13-18, Shanhua, Taiwan.  pp. 257-270.##Fischer, R.A. and Maurer, R. 1978. Drought resistance in spring wheat cultivars. I. Grain yield responses. Crop and Pasture Science 29: 897-912.##Golabadi, M., Arzani, A. and Maibody, S.M. 2006. Assessment of drought tolerance in segregating populations in durum wheat. African Journal of Agricultural Research 1: 162-171.##Guendouz, A., Guessoum, S. and Hafsi, M. 2012. Investigation and selection index for drought stress in durum wheat (Triticum durum Desf.) under Mediterranean condition. Electronic Journal of Plant Breeding 3: 733-740.##Moori, S., Emam, Y. and Karimzadeh Sourashjani, H.A. 2012. Evaluation of late season drought resistance in wheat cultivars using grain yield, its components and drought resistance indices. Environmental Stresses in Crop Sciences 5: 19-32. (In Persian with English Abstract).##Motamedi, M. and Safari, P. 2019. Evaluation of water deficient stress tolerance in some wheat cultivars and their hybrids using canonical discriminant analysis and genotype by trait biplot. Journal of Crop Breeding 11 :104-116. (In Persian with English Abstract).##Rajaie, M., Tahmasebi, S., Bidadi, M.J., Zare, K. and Sarfarazi, S.  2016. The effect of terminal drought stress on yield and yield components of wheat genotypes. Cereal Research 5 (4): 341-352. (In Persian with English Abstract).##Rosielle, A.A. and Hamblin, J. 1981. Theoretical aspects of selection for yield in stress and non-stress environment. Crop Science 21: 943-946.##Saint Pierre, C., Crossa, J.L., Bonnett, D., Yamaguchi-Shinozaki, K. and Reynolds, M.P.  2012. Phenotyping transgenic wheat for drought resistance. Journal of Experimental Botany 63: 1799-1808.##Sareen, S., Tyagi, B.S., Tiwari, V. and Sharma, I. 2012. Response estimation of wheat synthetic lines to terminal heat stress using stress indices. Journal of Agricultural Science 4: 97-104.##SAS Institute. 2002. SAS user's guide: Statistics version 9 for windows. SAS Institute. Carry, NC.##Sayyah, S.S., Ghobadi, M., Mansoorifar, S. and Zebarjadi, A.R. 2012. Evaluation of drought tolerant in some wheat genotypes to post-anthesis drought stress. Journal of Agricultural Science 4: 248-256.##Sehgal, D., Vikram, P., Sansaloni, C.P., Ortiz, C., Saint Pierre, C., Payne, T., Ellis, M., Amri, A., Petroli, C.D., Wenzl, P. and Singh, S. 2015. Exploring and mobilizing the gene bank biodiversity for wheat improvement. PLoS One 10: e0132112.##Thiry, A.A., Chavez Dulanto, P.N., Reynolds, M.P. and Davies, W.J. 2016. How can we improve crop genotypes to increase stress resilience and productivity in a future climate? A new crop screening method based on productivity and resistance to abiotic stress. Journal of Experimental Botany 67: 5593-5603.##United Nations Department of Economic and Social Affairs. 2017. World population projected to reach 9.7 billion by 2050.  Retrieved December 10, 2022, from https://www.un.org/en/desa.##Yan, W. 2001. GGE-biplot: A Windows application for graphical analysis of multienvironment trial data and other types of two-way data. Agronomy Journal 93: 1111-1118.##Yan, W. 2014. Crop variety trials: Data management and analysis. Wiley-Blackwell.##Yan, W. and Kang, M.S. 2003. GGE-biplot analysis: A graphical tool for geneticists, breeders, and agronomists. CRC Press, Boca Raton, FL.##Yan, W. and Rajcan, I. 2002. Biplot analysis of test sites and trait relations of soybean in Ontario. Crop Science 42: 11-20.##
Cereal Research
Volume 12, Issue 2
September 2022
Pages 135-146

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