Evaluation of ET-HS model for estimating water demand and water use efficiency of sugar beet in semi-arid condition of Isfahan

Document Type : Scientific - Research

Authors

1 Associate Professor of Agronomy and Plant Breeding Group, Islamic Azad University – Khorasgan Branch

2 Associate Professor of Pedology Group, Islamic Azad University – Khorasgan Branch, Isfahan, Iran.

3 Msc. student for Agronomy and Plant Breeding Group, Islamic Azad University – Khorasgan Branch, Isfahan, Iran.

Abstract

Hargraves-Samani method is one of the methods for calculating plant evapotranspiration that needs minimum meteorological data. In order to evaluate ET-HS model in determining sugar beet crop water demand in Isfahan, an experiment was conducted at research field of Department of Agriculture, Khorasgan Branch, Islamic Azad University, Isfahan, Iranin 2005. The study was based a Randomized Complete Block Design with three replications and six irrigation treatments. Irrigation treatments included irrigation to supply 50, 75, 100, 125 and 150% of crop water demand on the basis of ET-HS model and control on the basis of 90 mm evaporation from Class A evaporation pan during growing season. Results showed that the effect of irrigation treatment was significant on total dry matter and root yield. In addition, root yield increased in the treatment of irrigation to supply 150% of crop water demand. But, sugar percentage increased up to irrigation to supply 100% of crop water demand albeit insignificantly, and then started to decrease. White sugar yield significantly increased to 8.7 t.ha-1 up to irrigation to supply 100% of crop water demand and then, started to decrease with further increase in irrigation level. The highest water use efficiency for root yield was obtained from the irrigation to supply 50% of crop water demand. Given the precision of ET-HS model in control treatment, it can be used for irrigating sugar beet in such regions as Isfahan and sugar beet water demand can be determined only on the basis of the daily temperature data without using the data of evapotranspiration or soil water depletion, so that the yield does not decrease and the appropriate white sugar yield is obtained by the application of minimum irrigation level.

Keywords

Full Text

 

References

Allen RG, Pereira LS, Rase P, Smith A. Crop Evapotranspiration. FAO irrigation and drainage paper. 1998; 56:139-141.
Amaducci MT, Caliandro A, De Caro L, Venturi G. Effects of irrigation on different sugar beet varieties in different location and years. Proceedings of the 39th, Winter Congress of the International Institute for sugar beet Research, 1976; p 423-448.
Brisson D, Zimmer D, Sierra J, Bertuzzi P, Burger P, Bussiere F, Cabidoche YM, Cellier P, Debaeke P, Gandillere JP, Henault C, Maraux F, Seguin P, Sinoquet, H. An over-view of the crop model STICS. Eur. J. Agron. 2003; 18: 309-332.
Campel LG .Sugar beet breeding and improvement. In: M. S. Kang (ed.) Crop Improvement in the Twenty-first Century. Food Products Press, Binghamton, NY. 2002; pp. 221.
Cooke DA, Scott R.K . Sugar beet crop science into practice, published by Chapman and Hall, 1993; pp: 304.
Eitzinger J, Trnka M, Hosch J, Zalud Z, Dubrovsky M. Comparsion of CERES, WOFOST and SWAP models in simulating soil water content during growing season under different soil conditions. Ecol. Model. 2004; 171: 223-246.
Emsaki H. Effects of nitrogen fertilizer and irrigation on growth, quantity and quality characteristics of Sugar beet in Esfahan region. (MSc. thesis). Islamic Azad university, Khorasgan Branch; 1996. (in Persian, abstract in English).
Fabeiro C, Martinde Santa Olalla F, Lopez R, Dominguez A. Production and quality of the sugar beet (Beta vulgaris L.) cultivated under controlled deficit irrigation conditions in a semi-arid climate. Agricultural Water Management. 2003; 62:215-227.
FAO. Statistical database (on line), http://apps.fao.org/page/collection?subset= agriculture and language= ES (consultation: 21 January 2002).
Geerts S, Raes D. Deficit irrigation as an on-farm strategy to maximize crop water productivity in dry areas. Agric. Water Manage. 2009; 96:1275-1284.
Hang AM, Miller DE. Responses of sugar beet to deficit, high frequency sprinkler irrigation. Sugar beet development and portioning to root growth. Agron. J. 1986; 78:15-18.
Hargraves GH, Samani ZA. Reference crop evapotranspiration for temperature. Transactions of the ASCE, 1985;(2): 96-99.
Hassanli AM, Ahmadirad S, Beecham S. Evaluation of the influence of irrigation methods and water quality on sugar beet yield and water use efficiency. Agricultural Water Management. 2010; (97): 357-362.
Hoffmann CM, Huijbregts T, Van Swaaij N, Jansen R. Impact of different environments in Europe on yield and quality of sugar beet genotypes. Eur. J. Agron.2009;(30):17-26.
Jahadakbar MR, Ebrahimiyan HR. Evaloatin three agro management and six cultivars for irrigation management in sugar beet. Proceedings of the 5th Agronomy and Plant Breeding; 1998, Sep 6-10; Seed and Plant Improvement institute, Karaj, Iran;1998. P. 284. (in Persian, abstract in English)
Jones PD, Lister DH, Jaggard KW, Pidgeon JD. Future climate change impact on the productivity of sugar beet (Beta Vulgaris L.) in Europe. Climatic Change. 2003;(58): 93-108.
Najafi P, Tabatabaei A. Effects of using subsurface drip irrigation and ET-HS model to increasing WUE in Irrigation of some crop, land and water management: Decision tools and practices. 2004; (1): 34-41.
Najafi P, Tabatabaei SH. Effect of using subsurface drip irrigation and ET-HS model to increase WUE in irrigation of some crops. Irrigation and Drainage. 2007; (56): 477-486.
Najafi P, Tabatabaei SH. Comparsion of different Hargreaves-Samani methods for estimating potential evapotranspiration in arid and semi-arid regions of Iran. Research on Crops. 2009; 10: 441-447.
Ober ES, Clark CJA, Le Bloa M, Royal A, Jaggard KW, Pidgeon JD. Assessing the genetic resources to improve drought tolerance in sugar beet: agronomy triats of diverse genotypes under droughted and irrigated conditions. Field Crops Research. 2004;(90): 213-234.
Pakniyat H. Genetics and Breeding of Sugarbeet, Shiraz University Publisher, 1999; pp.437. (in Persian)
Pidgeon JP, Werker AR, Jaggard KW, Richter GM, Lister DH, Jones PD. Climatic impact on the productivity of sugar beet in Europe. Agricultural and Forest Meteorology. 2001; 109: 27-37.
Rafiee M. Assessment of salinity tolerance in different cultivars of sugar beet. (MSc thesis). Isfahan University of Technology; 1995. (in Persian, abstract in English).
Rajabi A, Ober ES, Griffiths H. Genotypes variation for water use efficiency, carbon isotope discrimination, and potential surrogate measures in sugar beet. Field Crops Research. 2009; 112: 172-181.
Sakellariou-Makrantonaki M, Kal fountzos D, Vyrlas P. Water saving and yield increase of sugar beet with subsurface drip irrigation. Global Nest. Int. J. 2002; 4: 85-91.
Schneider K, Schafer-Pregl R, Borchardt DC, Salamini F. Mapping QTLs for sucrose content, yield and quality in a sugar beet population fingerprinted by EST-related markers. Theor. Appl. Genet. 2002; 104:1107-1113.
Shrestha N, Geerts S, Raes D, Horemans S, Soentjens S, Maupas F, Clouet P. Yield response of sugar beets to water stress under Western European conditions. Agricultural Water Management. 2010; 97: 346-350.
Stegman EC, Bauer A. Sugar beet response to water stress in sandy soils. Transaction of the American Society of Agriculture Engineering. 1977; 20: 469-472.
Stockle CO, Donatelli M, Nelson R. Cropsyst, a cropping system simulation model. Eur. J. Agron. 2003; 18: 289-307.
Tognetti R, Palladino M, Minnocci A, Delfine S, Alvino A. The response of sugar beet to drip and low-pressure sprinkler irrigation in Southern Italy. Agricultural Water Management. 2003; 60: 135-155.
Winter SR. Suitability of sugarebeet for limited irrigation in a semi-arid climate. Agron J. 1988; 72: 118-123.
Winter SR. Sugar beet response to nitrogen as affected by seasonal irrigation. Agron J. 1990; (82): 984-988.
Journal of Sugar Beet
Volume 27, Issue 2 - Serial Number 2
August 2012
Pages 183-169

Files

Share

How to cite

Statistics