ارزیابی مدل SALTMED در تخمین محصول گندم در شرایط کم آبیاری و شوری در مناطق خشک (مطالعه موردی: بیرجند)

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار، گروه مهندسی آب، مرکز آموزش عالی میناب، دانشگاه هرمزگان و عضو هسته پژوهشی اگرواکولوژی در مناطق خشک، دانشگاه هرمزگان، بندرعباس، ایران.

2 استادیار، گروه مهندسی آب، دانشکدگان ابوریحان، دانشگاه تهران، تهران، ایران.

3 استادیار، گروه علوم و مهندسی آب، دانشکده کشاورزی و محیط زیست، دانشگاه اراک، اراک، ایران.

چکیده

استفاده از مدل‌سازی یکی از گزینه‌‌های مناسب برای جایگزینی آزمایشات مزرعه‌ای به منظور صرفه‌جویی در زمان و هزینه است. مدل SALTMED یکی از مدل‌های عمومی برای شبیه‌سازی واکنش گیاهان مختلف تحت تنش شوری و خشکی است. این پژوهش با هدف ارزیابی این مدل برای گیاه گندم در اقلیم خشک در شهرستان بیرجند در خراسان جنوبی انجام شد. تیمارهای در‌نظر‌گرفته‌شده در این تحقیق شامل تنش خشکی 50، 75، 100 و120 درصد نیاز آبی و تنش شوری ناشی از آب آبیاری با شوری‌های 4/1، 5/4 و 6/9 دسی‌زیمنس بر متر بود و آزمایشات در سه تکرار انجام شد. نتایج شاخص‌های آماری، نشان‌دهنده ریشه میانگین مربعات خطای نرمال (NRMSE) کمتر از 10 درصد و ضریب تعیین 99/0 و 96/0 بین مقادیر اندازه‌گیری‌شده و تخمینی محصول در مراحل واسنجی و ارزیابی بود. همچنین مدل توانست روند تغییرات زمانی تبخیر و تعرق و نیز تغییرات زمانی و عمقی شوری خاک را به صورت مطلوبی در طول فصل کشت برآورد کند. بنابراین با توجه به نتایج پژوهش، مدل SALTMED، از کارایی و دقت مناسبی برای پیش بینی محصول و همچنین واکنش‌های گیاهی گندم در شرایط مختلف کم آبیاری و درجات مختلف شوری در مناطق خشک برخوردار است.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

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

نویسندگان [English]

  • Hamid Reza Kamali 1
  • Mohammad Abdolahipour 2
  • Mohammad Javad Nahvinia 3
1 Assistant 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.
2 Assistant Professor, Department of Water Engineering, College of Aburaihan, University of Tehran, Tehran, Iran.
3 Assistant Professor, Department of Water Sciences and Engineering, Faculty of Agriculture and Environment, Arak University, Arak, Iran.
چکیده [English]

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.

کلیدواژه‌ها [English]

  • modeling
  • Plant reactions
  • Variation of evapotranspiration
  • water stress
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