Volume 14, number 2
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Salt Tolerance Analysis of Crops Using the SWAP Model

Forough Kamyab-Talesh1, Behrouz Mostafazadeh-Fard1, Majid Vazifedoust2, Mohammad Shayannejad1 and Maryam Navabian2

1Water Engineering Department, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, Iran.

2Water Engineering Department, College of Agriculture, Guilan University, Rasht 58643-41889, Iran.

Corresponding Author E-mail: forough.kamyab@gmail.com

DOI : http://dx.doi.org/10.13005/bbra/2490

ABSTRACT: Soil and water salinities are major environmental factors limiting the productivity of agricultural lands especially in arid and semi arid regions. To determine salinity threshold values and slope of the yield decrements for crops of wheat, barley and maize,  SWAP model was study for an arid region located in Semnan Province (5225' N 3511' E), central part of Iran with area of 35000 ha including 94 villages belonged to irrigation network of Garmsar district. The data collected from the above 94 villages for years 1998 to 2007 were used to calibrate and simulate yield of wheat, barley and maize using the SWAP model. The irrigation water salinities of 2, 4, 6 and 8 dS m-1 were used and yield reductions versus soil saturation extracts were evaluated and salinity threshold values and slope of the yield reductions were determined for each of the above crops. The results showed that the SWAP model predict crop yields with good accuracy and the threshold values and slope of the yield reductions are site dependent.  These values should be determined for each area in order to be able to plan better irrigation scheduling for arid regions which have soil and irrigation water salinities problems.

KEYWORDS: Salinity threshold; yield and SWAP model

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Kamyab-Talesh F, Mostafazadeh-Fard B, Vazifedoust M, Shayannejad M, Navabian M. Salt Tolerance Analysis of Crops Using the SWAP Model. Biosci Biotech Res Asia 2017;14(2).

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Kamyab-Talesh F, Mostafazadeh-Fard B, Vazifedoust M, Shayannejad M, Navabian M. Salt Tolerance Analysis of Crops Using the SWAP Model. Biosci Biotech Res Asia 2017;14(2). Available from: https://www.biotech-asia.org/?p=25288

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