شبیه‌سازی شاخص‌های مختلف گیاه ذرت شیرین تحت سطوح مختلف آبیاری قطره‌ای زیرسطحی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه مهندسی آب، دانشکده کشاورزی، دانشگاه ارومیه، ارومیه، ایران.

2 گروه مهندسی آب، دانشکده کشاورزی، دانشگاه بوعلی سینا، همدان، ایران.

10.22059/jwim.2025.387972.1200

چکیده

تنش خشکی و نیاز روزافزون به تولید مواد غذایی باعث نگرانی جدی در مورد پایداری منابع آبی و سیستم‌های کشاورزی در مناطق خشک خاورمیانه به‌ویژه ایران شده است. آزمایش‌های مزرعه‌ای در چهار تکرار و در چهار سطح به مقدار ۱۲۰، ۱۰۰، ۸۰ و ۶۰ درصد نیاز آبیاری کامل برای محصول ذرت شیرین، انجام شد. واسنجی و اعتباریابی مدل سیستم پشتیبانی تصمیم برای انتقال فناوری کشاورزی (DSSAT) برای ارزیابی استراتژی‌های مدیریتی مختلف برای برنامه‌ریزی آبیاری بر عملکرد، شاخص سطح برگ و زیست‌توده ذرت شیرین موردبررسی قرار گرفت. این مطالعه نشان داد که مدل از نظر شبیه‌سازی اثر تنش شدید آبیاری بر رشدونمو ذرت شیرین در محدوده متوسط (NRMSE بین ۲۰ تا ۳۰ درصد) قرار دارد. نتایج ارزیابی مدل Ceres-Maize برای بررسی روند رشد پویا شاخص سطح برگ، ارتفاع و زیست‌توده قسمت هوایی ذرت شیرین نشان داد که مدل فرایند رشد زیست‌توده را شبیه‌سازی می‌کند. بر این ‌اساس، مدل در مرحله واسنجی و اعتباریابی تیمار ۲۰ درصد کم‌آبیاری، شاخص سطح برگ حداکثر را ۵۲/۰ و ۷۱/۰ کاهش داد. مدل در مراحل واسنجی و اعتباریابی، زمانی که گیاه در مرحله اولیه رشد قرار داشت با اعمال تنش خشکی شدیدتر، خطای زیادی نشان داد. نتایج نشان داد در تیمارهای کم‌آبیاری، مقادیر اندازه‌گیری‌شده سریع‌تر به مقادیر نهایی خود نزدیک می‌شوند. در رژیم ۴۰ درصد کم‌آبیاری مدل با خطای زیادی شبیه‌سازی عملکرد دانه را انجام داد، به‌طوری‌که مقادیر NRMSE در مرحله اعتباریابی ۰۳/۲۷ به‌دست آمد. به‌طورکلی این تحقیق نشان داد که مدل Ceres_Maize برای شبیه‌سازی عملکرد و زیست‌توده محصول ذرت شیرین عملکرد قابل‌قبولی دارد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Simulation Different Indices of Sweet Corn under Variable Levels of Subsurface Drip Irrigation

نویسندگان [English]

  • Milad Ebrahimi 1
  • Javad Behmanesh 1
  • Vahid Rezaverdinejad 1
  • Vahid Varshavian 2
1 Department of Water Engineering, Faculty of Agriculture, Urmia University, Urmia, Iran.
2 Department of Water Engineering, Faculty of Agriculture, Bu Ali Sina University, Hamadan, Iran.
چکیده [English]

Drought stress and the increasing need for food production have raised serious concerns about the sustainability of water resources and agricultural systems in the arid regions of the Middle East, particularly Iran. Field experiments were conducted in four replicates at four irrigation levels including 120%, 100%, 80%, and 60% of the full irrigation requirement for sweet corn. The Decision Support System for Agricultural Technology Transfer (DSSAT) model was calibrated and validated to evaluate various irrigation management strategies and their effects on yield, leaf area index, and biomass of sweet corn. The study revealed that the model displayed moderate accuracy (NRMSE between 20-30%) in simulating the impact of severe irrigation stress on the growth and development of sweet corn. The evaluation of the Ceres-Maize model in capturing dynamic growth trends of leaf area index, height, and aerial biomass showed that this model successfully simulated the biomass growth process. During calibration and validation under the 20% deficit treatment, the model reduced the maximum leaf area index by 0.52 and 0.71, respectively. However, the model exhibited significant errors in simulating initial plant growth stages under intense drought stress. The study also indicated that in deficit treatments, measured values reached their final levels more rapidly a trend evident for the plant height index as well. In the 40% deficit regime, the model showed substantial errors in grain yield simulation, with NRMSE values of 27.03 during the validation stage. Overall, the findings demonstrated that the Ceres-Maize model performs adequately in simulating yield and biomass of sweet corn.

کلیدواژه‌ها [English]

  • Ceres-Maize
  • Deficit Irrigation
  • Drought Stress
  • Precision Irrigation

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مدیریت آب و آبیاری
دوره 15، شماره 3
آذر 1404
صفحه 479-495

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