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Kamali, H., Abdolahipour, M., Nahvinia, M. (2022). Evaluation of SALTMED model in estimation of wheat yield under deficit irrigation and salinity stress in arid areas (Case study: Birjand). , 11(4), 815-827. doi: 10.22059/jwim.2022.330654.922
Hamid Reza Kamali; Mohammad Abdolahipour; Mohammad Javad Nahvinia. "Evaluation of SALTMED model in estimation of wheat yield under deficit irrigation and salinity stress in arid areas (Case study: Birjand)". , 11, 4, 2022, 815-827. doi: 10.22059/jwim.2022.330654.922
Kamali, H., Abdolahipour, M., Nahvinia, M. (2022). 'Evaluation of SALTMED model in estimation of wheat yield under deficit irrigation and salinity stress in arid areas (Case study: Birjand)', , 11(4), pp. 815-827. doi: 10.22059/jwim.2022.330654.922
Kamali, H., Abdolahipour, M., Nahvinia, M. Evaluation of SALTMED model in estimation of wheat yield under deficit irrigation and salinity stress in arid areas (Case study: Birjand). , 2022; 11(4): 815-827. doi: 10.22059/jwim.2022.330654.922

Evaluation of SALTMED model in estimation of wheat yield under deficit irrigation and salinity stress in arid areas (Case study: Birjand)

مدیریت آب و آبیاری
Volume 11, Issue 4, February 2022, Pages 815-827    PDF (1.27 M)
Document Type: Research Paper
DOI: 10.22059/jwim.2022.330654.922
Authors
Hamid Reza Kamali1; Mohammad Abdolahipour* 2; Mohammad Javad Nahvinia3
1Assistant Professor, Water Engineering Department, Minab higher education center, and member of Research Group of Agro-ecology in Dry land Areas, University of Hormozgan, Minab, I.R. of Iran.
2Assistant Professor, Department of Water Engineering, College of Aburaihan, University of Tehran, Tehran, Iran.
3Assistant Professor, Department of Water Sciences and Engineering, Faculty of Agriculture and Environment, Arak University, Arak, Iran.
Abstract
The application of modeling is an appropriate alternative for field experiments that save time and cost. SALTMED is a generic model for modeling plants response to water and salinity stress. This study was done to evaluate the performance of SALTMED model for wheat plant in an arid area in Birjand, South Khorasan Province. The treatments include water stress (50, 75, 100 and 120 percent of water requirement) and salinity stress (1.4, 4.5 and 9.6 dS/m) in three replications. The statistical indices of measured and predicted yield showed the normalized root mean square error (NRMSE) less than 10 percent and the coefficient of determination (R2) equal to 0.99 and 0.96 for model calibration and validation, respectively. The model could also simulate the temporal variation of evapotranspiration and soil salinity profile during the growing season accurately. Therefore, according to the results, SALTMED is an accurate model to predict the yield and plant reactions of wheat under different water and salinity stress levels in the arid areas.
Keywords
Modeling; Plant reactions; Variation of evapotranspiration; Water stress
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