Document Type : Original Article

Authors

1 Department of Plant Breeding, Ardabil Branch, Islamic Azad University, Ardabil, Iran

2 Graduated Msc. Student at Ardabil Branch, Islamic Azad University, Ardabil, Iran

Abstract

In order to evaluate the drought tolerance of 19 barley genotypes using physiological traits, an experiment was carried out in randomized complete blocks with 3 replications under non-stress and terminal drought stress conditions at agricultural research station of Islamic Azad University, Ardabil branch in 2016. Non-stress plots were irrigated when available soil water reached to 60% using tensiometer measurements. In drought stress environment, plants were grown in rainfed condition and drought was imposed after flowering stage by a rain exclusion shelter. After exposure of plants to drought stress, Specific Leaf Area (SLA), Excised Leaf Water Loss (ELWL), leaf Relative Water Content (RWC), Stomatal Conductance (Gs), Chlorophyll Fluorescent (Fv/Fm) and Rate of Ground Cover (RGC) were measured in flag leaves of 10 randomly selected plants. Results of ANOVA showed that SLA, ELWL, RWC and GC affected by drought, however Fv/FM and stomatal conductance did not affected. Stress severity index was obtained as 0.45, indicating a moderate drought stress imposed to genotypes. G×E interaction was significant in all of the traits indicating the severity of the drought stress. In non-stress condition, genotype number 13 with 5040 kg/ha, had the highest grain yield. Under drought stress condition, genotypes number 13 and 15 with 2710 and 2550 kg/ha, had the highest grain yield respectively. Based on grain yield of the genotypes in both environments, genotypes number 13, 18(Bereke-54 check), 9, 4, 19 (Makouee check) and 15 had the highest stress tolerance index (STI). Under stress, genotypes number 15, 1, 18, 2, 3, 10, 13, 12 and 9 had the highest RWC, genotypes number 18, 13, 14 and 8 had the lowest ELWL, genotypes number 15, 9, 19, 18, 1, 13, 17, 4, 16, 5 and 12 had the highest Gs, genotypes number 9, 13, 8, 12, 14, 10, 11 and 15 had the highest RGC (early vigor), genotypes number 4, 3, 13, 15, 4, 12, 9, 17, 19, 1 and 11 had the highest SLA. In non-stress condition yield correlated only with RGC this trait was the only trait remained in final regression model and explained the 34.7% of grain yield variation. Under stress condition, yield positively correlated with RWC, SLA, Gs, RGC and negatively correlated with ELWL. In stepwise multiple regression analysis under drought stress condition, Gs, RGC and ELWL remained in final model with 0.489, 0.512 and 0.381 standard partial regression coefficients respectively(as direct effect). These three characters described 69.3% of grain yield variation. Cluster analysis using Euclidian distance by Ward’s method could successfully separate sensitive and tolerant genotypes. In this analysis, genotypes number 1, 4, 9, 12, 13, 15, 17, 18 and 19 were located in superior cluster, having higher Gs, RWC, SLA and lower Fv/FM. Finally genotype number 13 (the most high yielding genotype) had the second, third, fourth and sixth ranks in RGC, SLA, Fv/FM and Gs. The results of this experiment showed that RGC, having the highest correlation with yield and lower genotype × environment interaction can be consider as the most suitable indirect criteria for selection of drought tolerance in barley. Traits such as Gs, ELWL, RWC and SLA can be consider in the next priority, due to significant correlations with yield under drought stress.

Keywords

Ahmed, A.A.S., Uptmoor, R., El-Morshidy, M.A., Kheiralla, K.A., Ali, M.A., Mohamed, N.E.M., 2014. Some physiological parameters as screening tools for drought tolerance in bread wheat lines (Triticum aestivam L.). World Journal of Agricultural Research. 2(3), 109-114.
Aminian, R., Mohammady, SH., Houshmand, S., Khodambashi, M., Nozad, K., 2011. Effect of stomatal characteristics on photosynthesis and yield of the bread wheat chromosomal substitution lines under normal and stress conditions. Journal of Crops Improvement. 13(2), 13-25.
Igartua, E., Gracia, M.P., Lasa, J.M., Medina, B., Molina-Cano, J.L., Montoya J.L., Romagosa, I., 1998. The Spanish barley core collection. Genetic Resources and Crop Evolution. 45, 475-482.
International Atomic Energy Agency. 2011. Joint FAO/IAEA Mutant Variety Database. On line. Available at: https://mvd.iaea.org/MVDExport
Bayoumi, T.Y., Eid, M.H., Metwali, E.M., 2008. Application of physiological and biochemical indices as a screening technique for drought tolerance in wheat genotypes. African Journal of Biotechnology. 7, 2341-2352.
Bellundagi, A., Singh, G.P., Prabhu, K.V., Arora, A., Jain, N., Ramya, P., Singh, A.M., Singh, P.K., Ahlawat, A., 2013. Early ground cover and other physiological traits as efficient selection criteria for grain yield under moisture deficit stress conditions in wheat (Triticum aestivum L.) Indian Journal of Plant Physiology. 18(3), 277–281.
Bogale, A., Tesfaye, K., Geleto, T., 2011. Morphological and physiological attributes associated to drought tolerance of Ethiopian durum wheat genotypes under water deficit condition. Journal of Biodiversity and Environmental Sciences. 1(2), 22-36.
Boyer, J.S., James, R.A., Munns, R., Condon, A.G., Passioura, J.B., 2008. Osmotic adjustment may lead to anomalously low estimates of relative water content in wheat and barley. Functional Plant Biology. 35, 1172–1182.
Cougnon, M., Verhelst, J., De Dauw, K., Reheul, D., 2013. Quantifying Early Vigour and Ground Cover using Digital Image Analysis. In: Barth S, Milbourne D. (eds.) Breeding strategies for sustainable forage and turf grass improvement. pp 147-153.
David, M., 2010. Water loss from excised leaves in a collection of triticum aestivum and triticum durum cultivars. Romanian Agricultural Research. 27, 27-34.
Davies, W.J., Kudoyarova, G., Hartung, W., 2005. Long-distance ABA signalling and its relation to other signalling pathways in the detection of soil drying and the mediation of the plant's response to drought. Journal of Plant Growth Regulation. 24, 285-295.
Fernandez, G.C.J., 1992. Effective selection criteria for assessing plant stress tolerance. In: Kuo, C.G., (eds.). Adaptation of Food Crops to Temperature and Water Stress. International symposium, Taiwan, 13-18 August 1992.
Fischer, R.A., Maurer, R., 1978. Drought resistance in spring wheat cultivars. Australian Journal of Agricultural Research. 29, 897-912.
Georgeson, C.C., 1920. Report of the Alaska Agricultural Experiment Stations. Office of Experiment Stations, U. S. Department of Agriculture. 28: 120p.
Grzesiak, S., Grzesiak, M.T., Filek, W., Stabryta, J., 2003. Evaluation of physiological screening tests for breeding drought resistant triticale (X. Triticosecale Wittmack). Acta Physiologiae Plantarum. 25(1), 29-37.
Jafarbay A, Sabzeh J, Mohammadallahi H., Dehghan A, Ali M., 2012. On farm study of elite barley lines in mountain areas of Golestan province. Agricultural Research and Education Organization. F.A.O.
Jafari, A., Mahlooji, M., 2010. Yield comparison of cold tolerant barley genotypes in Fereidan area of Esfahan province. Journal of Crops Improvement. 12(1): 21-27.
Jansen, M., Gilmer, F., Biskup, B., 2009. Simultaneous measurement of leaf growth and chlorophyll fluorescence via GROWSCREEN FLUORO allows detection of stress tolerance in Arabidopsis thaliana and other rosette plants. Functional Plant Biology. 36, 902–914.
Karami, E.A., Ghanadha, M.R., Naghavi, M.R., Mardi, M., 2006. An identification of drought tolerant genotypes in barley.  Iranian Journal of agricultural sciences (Journal of agriculture). 37(2): 371-379. (In Persian).
Kovacevic, J., Lalic A., Babic, D., 2000. Barley production and status of the national barley collection in the Republic of Croatia. Report of a Working Group on Barley: Sixth Meeting, 3 December 2000.
 Ley, T.W., Stevens, R.G., Topielec R.R., Neibling, W.H., 1994. Soil water monitoring and measurement. A Pacific Northwest Publication. Washington. Oregon. Idaho. pp: 26.
Liu, F., Stützel, H., 2004. Biomass partitioning, specific leaf area, and water use efficiency of vegetable amaranth (Amaranthus spp.) in response to drought stress. Scientia Horticulturae. 102(1), 15–27.
Liu, W.J., Yuan, S., Zhang, N.H., Lei, T., Duan, H.G., Liang, H.G., Lin, H.H., 2006. Effect of water stress on photosystem II in two wheat cultivars. Biologia Plantarum. 50 (4), 597-602.
Moradi, M., Dehghani, H., Sorkhi-Lalelo, B., 2012. Study of Stability Parameters on Barley (Hordeum vulgare L.) Elite Genotypes in Cold Climate of Iran. Iranian Journal of Field Crops Research. 10 (1): 107-115. (In Persian)
 
Mullan, D.J., Reynolds, M.P., 2010. Quantifying genetic effects of ground cover on soil water evaporation using digital imaging. Functional Plant Biology. 37, 703–712.
Munns, R., James, R.A., Sirault, X.R.R., Furbank, R.T., Jones, H.G., 2010. New phenotyping methods for screening wheat and barley for beneficial responses to water deficit. Journal of Experimental Botany. 61(13), 3499-3507.
Paroda, R.S., Suleimenov, M., Morgounov, A., UI-Hasan, M., Turdieva, M., Khalikolov, Z., Kononenko, I. 2004. CGIAR Collaborative research program for sustainable agricultural development in central Asia and Caucasus. CAC NEWS.
Petcu, E., 2005. The Effect of water stress on cuticular transpiration and relationship with winter wheat yield. Romanian Agricultural Research. 22, 15-17.
Siddique, R.B., Hamid, A., Islam M.S., 1999. Drought stress effects on photosynthetic rate and leaf gas exchange of wheat. Botanical Bulletin of Academia Sinica. 40, 141-145.
Shahmoradi, S., Zahravi, M., 2014.Identification of traits related to drought tolerance in barley (Hordeum vulgare L) genotypes originated from arid climates of Iran. Journal of Crop Improvement. 16 (1): 23-41. [In Persian with English summary].
vanTreuren, R., Tchoudinova, I., van Soest, L.J.M., van Hintum T.J.L. 2006. Marker-assisted acquisition and core collection formation: a case study in barley using AFLPs and pedigree data. Genetic Resources and Crop Evolution. 53, 43–52
Vile, D., Garnier, E., Shipley, B., Laurent, G., Navas, M.L., Roumet, C., Lavorel, C., 2005. Specific leaf area and dry matter content estimate thickness in laminar leaves. Annual Botany. 96(6), 1129–1136.
White, J.W., Montes R.C., 2005. Variation in parameters related to leaf thickness in common bean (Phaseolus vulgaris L.). Field Crops Research. 91, 7–21
Yan, W., Zhong, Y., Shangguan, Z., 2016. A meta-analysis of leaf gas exchange and water status responses to drought. Scientific Reports. (6), 1-9.
Yang, Y., Liu, Q., Han, C., Qiao, Y.Z., Yao, X.Q., Yin, H.J., 2007. Influence of water stress and low irradiance on morphological and physiological characteristics of Picea asperata seedlings. Photosyntetica. 45(4), 613-619.