شناسایی مناطق تحت مخاطرة مینوز گوجه فرنگی Tuta absoluta (Lepidoptera: Gelechiidae) در استان یزد با استفاده از سامانة اطلاعات جغرافیایی

نوع مقاله : مقاله کامل، فارسی

نویسندگان

گروه گیاه‌پزشکی، دانشکدة کشاورزی، دانشگاه شهید مدنی آذربایجان، تبریز، ایران

چکیده

 
شب‌پرة مینوز گوجه ­­فرنگی،Tuta absoluta (Meyrick)  یکی از مهم‌ترین آفات گوجه­­ فرنگی در استان یزد می ­باشد. پیش‌بینی نوسانات جمعیت عوامل خسارت‌زای گیاهی یکی از جنبه ­های کلیدی برنامه­ های مدیریت آفات می‌باشد. سیستم اطلاعات جغرافیایی در تعیین زیستگاه­ های فعلی و زیستگاه‌های مناسب برای آفات عملکرد بسیار موفقی دارد. در این بررسی مکان‌یابی مناطق پرخطر از نظر شیوع مینوز گوجه­ فرنگی بر اساس فرآیند تحلیل سلسله مراتبی (AHP) و با استفاده از نرم‌افزارهایArcMap   و ArcCatalog  انجام شد و زیر نرم‌افزار Arc GIS برای ایجاد پایگاه داده‌های مکانی و تحلیل جغرافیایی مناطق استفاده شد. پردازش و تحلیل داده‌ها با توجه به پراسنجه‌های ارتفاع، دما، بارندگی، میزبان‌های گیاهی و رطوبت انجام شد. در بین عوامل مورد بررسی، دما با وزن نهایی 431/0 مهم‌ترین عامل تأثیرگذار در ایجاد شرایط بهینه برای زیست و شیوع آفت تشخیص داده شد. سطح زیر کشت، رطوبت، ارتفاع و بارندگی به­ترتیب با وزن نهایی 376/0، 107/0، 056/0 و030/0 در رده‌های بعدی اهمیت قرار گرفتند. در این پژوهش شهرستان‌های یزد، خاتم، بهاباد، اشکذر، ندوشن و رباط در نقشه نهایی، از جمله مناطق پرخطر برای شیوع و گسترش شب­پره مینوز گوجه­فرنگی معرفی شدند.

کلیدواژه‌ها

عنوان مقاله [English]

Risk assessment of tomato leafminer Tuta absoluta (Lepidoptera: Gelechiidae) in Yazd province, using Geographic information systems

نویسندگان [English]

  • saeidehsadat fatemi
  • d. Mohammadi
  • Naser Eivazian Kary
Department of Plant Protection, Faculty of Agriculture, Azarbaijan Shahaid Madani University, Tabriz, Iran
چکیده [English]

The tomato leafminer Tuta absoluta (Meyrick) is one of the main pests of tomato in Yazd province. Successful prediction of population fluctuations is one of the key aspects of pest management programs. Geographic information systems have been successfully used to determine actual and potential distribution areas of the pests. High-risk areas of pest prevalence were determined based on the Analytic Hierarchy Process (AHP) model using ArcMap and ArcCatalog softwares, and Arc GIS sub-software was used to create spatial databases and geographical analysis of the regions. Parameters of altitude, rainfall, temperature, plant hosts and humidity were used to analyses of the effective factors on pest distribution. The results showed temperature by a final weight of 0.431 is the most important factor affects pattern of the pest distribution. The cultivated area, humidity, height and rainfall had a final weight of 0.376, 0.107, 0.056 and 0.030, respectively. The results showed Yazd, Khatam, Bahabad, Ashkzar, Nodooshan and Robat are high risk areas of the pest.

کلیدواژه‌ها [English]

  • Temperature
  • Analytic Hierarchy Process
  • GIS

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