Water Productivity and Virtual Water of Barley Cultivars under Different Irrigation Regimes

Document Type : Original Research

Authors
1 Department of Agroecology, College of Agriculture and Natural Resources of Darab, Shiraz University, Shiraz, Islamic Republic of Iran.
2 Department of Agricultural Economics, School of Agriculture, Shiraz University, Shiraz, Islamic Republic of Iran.
3 Department of Plant Production and Genetics, School of Agriculture, Shiraz University, Shiraz, Islamic Republic of Iran.
Abstract
To remain viable in facing with increasing costs, farmers need to increase irrigation Water Productivity (WP) and save Virtual Water (VW). To evaluate the WP and VW for five barley cultivars (Reyhan, Nimrooz, Valfajr, Zehak, and Yusof) under different irrigation regimes [well-watered (100% Field Capacity; FC), mild water stress (75% FC), severe water stress (50% FC), and extremely severe water stress (25% FC)], a two-year field experiment was laid out in Darab, Fars Province, Iran, during 2014 and 2015 growing seasons. Results showed that change in moisture stress from well-watered to extremely severe water stress, was associated with a significant increase in WP and Economic Water Productivity (EWP) for straw and biological yield. A positive linear relationship was found between grain yield and VW, and the lowest VW was found in the range of 3,314 to 3,451 kg ha-1 of grain yield. Interestingly, for all irrigation regimes, Zehak and Yusof cultivars had greater WP for the grain yield. Furthermore, VW for biological yield of Yusof cultivar sharply decreased from 0.410 m3 kg-1 in well-watered treatment to 0.164 m3 kg-1 under extremely water stress conditions in both years. Comparison of Zehak and Yusof cultivars with Reyhan, Nimrooz and Valfajr showed that under water stress conditions, the first two cultivars showed significantly lower VW for the grain yield than the other cultivars. Indeed, Yusof and Zehak cultivars showed the lowest Economic Virtual Water (EVW), which was in the range of 0.054 to 0.091 m3 1,000 Rials-1, under extremely water stress conditions. Thus, to achieve optimum EWP and EVW and attaining stable yields under semi-arid conditions, suitable barley cultivars such as Zehak and Yusof could be irrigated with less water (i.e. 25 to 50% FC).

Keywords

Subjects


1. Ahmadali, K. 2013. Development of virtual water transfer model to improve the cropping pattern and optimal use of agricultural water in the country. Ph. D thesis. Tehran University, 185 pp.
2. Alamdarlo, H. N., Riyahi, F., and Vakilpoor, M. H. 2018. Wheat self-sufficiency, water restriction and virtual water trade in Iran. Net. Spatial Eco., 4: 1-18.
3. Alizadeh, Dizaj, A. and Ebrahimian, H. 2017. Effect of supplementary irrigation and planting date on the physical and economic water productivity of wheat and barley plants under Urmia dryland conditions. Iranian J. Dry Agr., 6: 247-268.
4. Allan, J. A. 1993. Fortunately, there are substitutes for water otherwise our hydro-political futures would be impossible. Pri. Water Res. Allo. Manag., 13: 16-26.
5. Allan, J. A. 1994. Overall perspectives on countries and regions. Rogers, P. and Lydon, P. Water in the Arab World: perspectives and prognoses, Harvard University Press, Cambridge, Massachusetts, 248 pp.
6. Araya, A., Stroosnijder, L., Girmay, G. and Keesstra, S. D. 2011. Crop coefficient, yield response to water stress and water productivity of teff (Eragrostis tef (Zucc.). Agr. Water Manag., 98: 775-783.
7. Baghestani, A., Mehrabi, B. H., Zare, M. M. and Sherafatmand, H. 2010. Application of the concept of virtual water in water resources management of Iran. Iran Water Res., 6: 18-20.
8. Barati, V., Bijanzadeh, E. and Zinati, Z. 2020. Nitrogen source and deficit irrigation influence on yield and nitrogen translocation of triticale in an arid Mediterranean Agro-ecosystem. J. Agric. Sci. Tech., (In Press)
9. Bijanzadeh, E., and Emam, Y. 2012. Evaluation of assimilate remobilization and yield of wheat cultivars under different irrigation regimes in an arid climate. Arch. Agron. Soil Sci., 58: 1243–1259.
10. Bijanzadeh, E. and Naderi, R. 2015. Remobilization efficiency and photosynthetic characteristics of five barley (Hordeum vulgare L.) cultivars under terminal drought stress. Arch. Agron. Soil Sci., 61: 1199-1210.
11. Brindha, K. 2017. International virtual water flows from agricultural and livestock products of India. J. Clean. Pro., 161: 922-930.
12. Chapagain, A. K. and Hoekstra, A. Y. 2003. Virtual water flows between nations in relation to trade in livestock and livestock products. Value of Water Research Report Series No. 13. Unesco publication. Netherlands. 112 pp.
13. Chouchane, H., Krol, M. S. and Hoekstra, A. Y. 2018. Virtual water trade patterns in relation to environmental and socioeconomic factors: A case study for Tunisia. Sci. Total Env., 613: 287-297.
14. Darzi-Naftchali, A. and Karandish, F. 2017. Adapting rice production to climate change for sustainable blue water consumption: an economic and virtual water analysis. Theo. App. Clim., 6: 1-12.
15. Emam, Y. and Bijanzadeh, E. 2012. Water uptake and hydraulic conductivity of seminal and adventitious roots of five wheat cultivars at early growth stage. J. Agric. Sci. Tech., 14: 1605-1616.
16. Emam, Y. and Seghatoleslami, M. J. 2005. Crop yield, physiology and processes. Shiraz, Shiraz University Press, 593 pp.
17. Grimes, D. W., Yamada, H. and Hughes, S. W. 1987. Climate-normalized cotton leaf water potentials for irrigation scheduling. Agr. Water Manag., 12: 293–304.
18. Hoekstra, A. Y. 2003. Virtual water trade: Proceedings of the international expert meeting on virtual water trade. Delft, The Netherlands: IHE.423 pp.
19. Hoekstra, A. Y. and Chapagain, A. K. 2007. Water footprints of nations: Water use by people as a function of their consumption pattern. Water Resour Manage, 21: 35-48.
20. Hoekstra, A.Y., Chapagain, A.K., Aldaya, M. M. and Mekonnen, M. M. 2009. Water Footprint Manual: State of the Art 2009. Water Footprint Network, Enschede, The Netherlands.
21. Jin, M., Zhang. R., Sun. L. and Gao, Y. 1999. Temporal and spatial soil water management: a case study in the Heilonggang region, PR China. Agr. Water Manag., 42: 173–187.
22. Maghsoudi, M., Moradi, A., Moradipour, F. and Nezammahalleh, M. A. 2018. Geotourism development in world heritage of the Lut desert. Geohe., 15: 1-16.
23. Mirzaei A., Saghafian, B., Mirchi, A. and Madani, K. 2019. The groundwater-energy food nexus in Iran’s agricultural Sector: implications for water security. Water, 11:1-15.
24. Pereira, L. S., Cordery, I. and Iacovides, I. 2012. Improved indicators of water use performance and productivity for sustainable water conservation and saving. Agri. Water Man., 108: 39-51.
25. Prieto, D. and Angueira, C. 1999. Water stress effect on different crop growth stages for cotton and its influence on yield reduction. In: Kirda C, Moutonnet P, Hera C, Nielsen DR (eds) Crop yield response to deficit irrigation, vol 84. Kluwer Academic Publishers, Dordrecht, pp 161–179.
26. Rodrigues, G. C. and Pereira, L. 2009. Assessing economic impacts of deficit irrigation as related to water productivity and water costs. Bio. Eng., 103: 536-551.
27. Rohani, N., Yang, H., Sichani, S. A., Afyoni, M., Masavi, S. F. and Kamgar Haghighi, A. A. 2008. Evaluation of virtual water and crop productivity with respect to water resources of Iran. Water Soil Sci., 15: 42-49.
28. Rojhani Shirazi, A. S., Kamgar Haghighi, A. A. and Sepaskhah, A. R. 2016. Time and location distribution of virtual water amount under irrigated and dry land conditions in Fars Province. Sixth National Conference of Water Management in Iran. 71-81 pp.
29. Tadayon, M. R., Ebrahimi, R. and Tadayon, A. 2012. Increased water productivity of wheat under supplemental irrigation and nitrogen application in a semi-arid region. J. Agric. Sci. Tech., 14: 995-1003.
30. Tian, X., Sarkis, J., Geng, Y., Qian, Y., Gao, C., Bleischwitz. R. and Xu, Y. 2018. Evolution of China's water footprint and virtual water trade: A global trade assessment. Env. Int. 121: 178-188.
31. Tiwari, H., Shivangi, K., Rai, S. P. and Chaudhary, R. K. 2017. Mapping of virtual water from wheat and rice consumption for India. Sus. Water Res. Man., 3: 227-239.
32. Zadoks, J. C., Chang, T. T. and Konzak, C. F. 1974. A decimal code for the growth stages of cereals. Weed Res., 14: 11–16.
33. Zare Abianeh. H, Aram, M. and Akhahvan, S. 2015. Evaluation of virtual water in main crops in Hamedan Province. J. Water Res. Iran., 9: 151-161.
34. Zhang LJ, Yin XA, Zhi Y, and Yang, ZF. 2014. Determination of virtual water content of rice and spatial characteristics analysis in China. Hyd. Earth Sys. Sci., 18: 2103-2111.
35. Zhao, Q., Liu, J., Khabarov, N., Obersteiner, M. and Westphal, M. 2014. Impacts of climate change on virtual water content of crops in China. Ecol. Inf., 19: 26-34.
36. Zwart, S J. and Bastiaanssen, W. M. G., 2004. Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize. Agr. Water Man., 69: 115–133.
37. Zwart S. J. and Bastiaanssen W. M. G. 2007. SEBAL for detecting spatial variation of water productivity and scope for improvement in eight irrigated wheat systems. Agr. Water Man., 89:287–296.