نوع مقاله: مقاله پژوهشی

نویسندگان

1 استاد گروه مهندسی آب، واحد لاهیجان، دانشگاه آزاد اسلامی، لاهیجان

2 دانشجوی دکتری، گروه مهندسی آب، دانشگاه ارومیه.

3 استاد دانشگاه آزاد اسلامی واحد تاکستان، گروه کشاورزی، تاکستان، ایران.

4 دکتری زراعت، دانشگاه آزاد اسلامی واحد تاکستان، گروه کشاورزی، تاکستان، ایران.

چکیده

تحقیق حاضر برای بررسی مدل آکوکراپ جهت پیش­بینی عملکرد و ماده خشک کلزا در قزوین، به مدت دو سال اجرا گردید. طرح آزمایشی به­صورت فاکتوریل در قالب بلوک­های کامل تصادفی با سه تکرار اجرا شد. سه سطح آبیاری نرمال، قطع آبیاری در مرحله ساقه­رفتن و قطع آبیاری در مرحله گل­دهی به­عنوان تیمار اصلی و سطح 0، 40، 80، 120 و 160 کیلوگرم در هکتار کود نیتروژن به عنوان عامل فرعی انتخاب شدند. برای مقایسه مقادیر شبیه­سازی و اندازه­گیری­شده عملکرد و بیوماس از شاخص­های آماری شامل ضریب تعیین (R2) و خطای نرمال­شده (NRMSE) استفاده شد. بر­اساس نتایج، خطای نرمال­شده پیش­بینی عملکرد دانه در مرحله واسنجی و ارزیابی به­ترتیب، 95/8 و 78/11 درصد و برای بیوماس به­ترتیب، 87/12 و 08/12 درصد محاسبه گردید. همچنین، مقدار ضریب تعیین در مراحل واسنجی و ارزیابی برای عملکرد کلزا توسط مدل به­ترتیب، 89/0 و 87/0 و برای بیوماس به­ترتیب، 79/0 و 84/0 به­دست آمد. نتایج نشان داد که این مدل در پیش­بینی عملکرد دانه و بیوماس کلزا، دارای دقت مناسب می­باشد و در تعیین استراتژی­های بهینه­سازی برای بهبود بهره­وری آب و مصرف کود نیتروژن در کشت کلزا در استان قزوین مورد قابل استفاده است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Predicting Biomass and Grain Yield in Canola Under Different Water Regimes and Fertilizers Using AquaCrop Model

نویسندگان [English]

  • Ebrahim \amiri 1
  • Afshin Khorsand 2
  • Jahanfar Daneshian 3
  • Mohsen Yousefi 4

1 Professor Department of Water Engineering, Islamic Azad University, Lahijan branch Lahijan, Iran

2 2- Ph.D. Candidate, Department of Water Engineering, Urmia University, Iran.

3 Professor Department of Agriculture, Islamic Azad University, Takestan branch, Takestan, Iran.

4 P.H.D Department of Agriculture, Islamic Azad University, Takestan branch, , Takestan, Iran.

چکیده [English]

The AquaCrop model improves farm management practices, including plant density, planting time, and chemical fertilizers. It also simulates crop yield, soil water content, soil salinity, and water productivity. One of the applications of this model is the assessment of rainfed production during the long term, the effect of low fertilization, the productivity of real water on the farm, and the analysis of future climate scenarios. The disadvantages of this model include the lack of calibration of the amount and time of fertilization and the lack of consideration of plant diseases and weeds (Raes et al., 2009). The AquaCrop model is suitable for simulating different water and nitrogen managements on yield (Khoshravesh et al., 2012). Ebrahimi, Rezaverdinejad and Majnooni Heris (2015) evaluated the AquaCrop model under different irrigation and nitrogen fertilizer managements for estimating maize grain yield and biomass in Shiraz. This model predicted the grain yield of maize with high precision and biomass obtained in all treatments was more than the estimated values. Alishiri, Paknejad and Aghayari (2014) in simulating sugarbeet growth under different irrigation regimes and nitrogen fertilizer concluded that the highest error in performance simulation was in the treatment that had the highest fertilizer stress. The purpose of this study was to calibrate and validate the AquaCrop model for estimating the crop grain yield (GY) and biomass (B) of Canola under different irrigation regimes and pure nitrogen fertilizer levels in loamy soils in Gazvin, Iran, for two years.

کلیدواژه‌ها [English]

  • Biomass
  • canola
  • Gazvin
  • Nitrogen

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