نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار مرکز آموزش عالی شهید باکری میاندوآب، دانشگاه ارومیه (مکاتبه کننده)

2 استادیار گروه علوم و مهندسی خاک دانشگاه ارومیه

3 دانشجوی دکتری گروه علوم و مهندسی خاک دانشگاه شهید چمران اهواز

4 فارغ‌التحصیل کارشناسی ارشد علوم و مهندسی خاک دانشگاه شاهد تهران

چکیده

برای شناخت محدودیت­های محیطی تولید و برنامه­ریزی صحیح کشت، ارزیابی تناسب اراضی و تخمین پتانسیل امری ضروری است. یکی از پرکاربردترین روش­ها در ارزیابی تناسب اراضی و محاسبه پتانسیل تولید روش فائو است. این تحقیق
به­منظور مقایسه شاخص­های اصلاح نشده و اصلاح شده اراضی برای تعیین پتانسیل تولید ذرت دانه­ای انجام گردید. جهت نیل به­ اهداف، داده­های مزرعه­ای و آزمایشگاهی از 16 واحد اراضی اخذ گردید، سپس بر اساس مدل AEZ ابتدا تولید پتانسیل یا پتانسیل حرارتی- تابشی تولید برآورد و سپس شاخص خاک به روش­های استوری و ریشه دوم که موید اثر مشخصات محدود کننده آن در کاهش تولید می­باشد، محاسبه گردید. نهایتا پتانسیل تولید اراضی به روش فائو از ضرب شاخص­های خاک در تولید پتانسیل حاصل گردید. نتایج نشان داد که در روش­های پارامتریک (فرمول استوری و ریشه دوم)  شاخص­های اصلاح­­نشده اراضی  نسبتا پایین­تر از حد قابل انتظار بود. برای رفع این مشکل شاخص­های اراضی اصلاح گردید که نتایج باعث بهبود
کلاس­های تناسب اراضی گردید. ضرایب تشخیص روابط رگرسیونی بین پتانسیل تولید اراضی و عملکرد مشاهده شده، به­ترتیب 79/0، 84/0، 86/0 و 9/0 برای مدل­های استوری اصلاح نشده، ریشه دوم اصلاح نشده، استوری اصلاح شده و ریشه دوم اصلاح شده می­باشد. با توجه به نتایج فوق می­توان نتیجه­گیری کرد که مدل ارائه شده به روش ریشه­دوم اصلاح شده  با توجه به ضریب تشخیص بالاتر و خطای پایین­تر نسبت به سایر روش­ها، عملکرد مشاهده شده را بهتر پیش­بینی می­کند.

کلیدواژه‌ها

عنوان مقاله [English]

Performance evaluation of corrected land indices to determine the Potential of Maize production using FAO Method

نویسندگان [English]

  • Moslem Servati 1
  • Hamidreza Momtaz 2
  • Behnam Zali Vargahan 3
  • Hassan Mohammadi 4

1 Assistant Professor, Shahid Bakeri High Education Center of Miandoab, Urmia University

2 - Assistant Professor, Department of Soil Science, Urmia University

Maize is one the major utilization type in Gobadloo region where placed in East Azarbaijan porivince, North-West of Iran, so performance of land suitability evaluation and land production potential prediction are very important for knowing environmental limitations and planning proper cultivation. FAO guidelines on the land evaluation system were widely used for the land suitability, so soil morphological and analytical data were carried out for 16 land units. Then, based on AEZ model, radiation thermal production potential for Maize was estimated and then soil indices which indicate the extent of soil limitations effectiveness on production reduction, was calculated by the square root formulas. Finally land production potential was calculated by multiplication of the soil indices and radiation thermal production potential. The results reaveald that parametric methods (square root and storie formulas) uncorrected land indices had lower values than which what it was expected in real conditions. For solving this problem land indices were corrected and the results improved land suitability classes. Coefficient of correlation values between land production potential and observed yield were 0.79, 0.84, 0.86 and 0.9 for uncorrected storie, uncorrected root mean square, corrected storie and root mean square models respectively. Based on the results, can conclude that Mean Absolute Error is able to predict yield better than that other methods because of higher regression coefficient and lower error.

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