ارائۀ رابطۀ رگرسیونی بین عملکرد گندم دیم و ویژگی‌های خاک در منطقه‌ای نیمه‌خشک در استان زنجان

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری علوم خاک، گروه علوم خاک، دانشکدة کشاورزی، دانشگاه زنجان

2 دانشیار گروه علوم خاک، دانشکدة کشاورزی، دانشگاه زنجان

3 عضو هیئت علمی مرکز پژوهش‌های کشاورزی زنجان، زنجان

4 دانشجوی سابق کارشناسی‌ارشد علوم خاک دانشگاه زنجان

5 دانشجوی سابق کارشناسی ارشد علوم خاک دانشگاه زنجان

چکیده

گندم دیم منبع غذایی اصلی غالب کشورهای درحال‌توسعه است که عوامل مختلفی بر تولید آن مؤثر است. هدف از این پژوهش ارائة مدلی است که عملکرد دانة گندم دیم را بر اساس ویژگی‌های فیزیکی و شیمیایی خاک برآورد کند. بدین منظور، مقادیر عملکرد دانة گندم دیم و ویژگی‌های فیزیکی و شیمیایی در سه تکرار به‌طور جداگانه در یک سال زراعی ،1393، در 53 مزرعة گندم دیم، در سطح استان زنجان اندازه‌گیری شد. با به‌کارگیری روش رگرسیون حداقل مربعات جزئی، مدلی برای بیان رابطة عملکرد دانة گندم دیم و ویژگی‌های خاک ارائه شد (40n= و 6/0R2=). سیلت و کربنات کلسیم معادل، مؤثرترین عوامل بر عملکرد گندم دیم و ضرایب استانداردشدة آن‌ها در مدل برآوردکننده به ترتیب 23/0 و 24/0- بود. نتایج پژوهش حاضر نشان داد که برخی ویژگی‌های فیزیکی و شیمیایی خاک شامل میزان سیلت، کربنات کلسیم معادل و پتاسیم به ترتیب اولویت تأثیر بیشتری بر عملکرد دانة گندم دیم دارد.

کلیدواژه‌ها

عنوان مقاله [English]

Development a regression relationship between rainfed wheat yield and soil properties in a semiarid region, Zanjan Province

نویسندگان [English]

  • Fatemeh Babaei 1
  • Alireza Vaezi 2
  • Mehdi Teheri 3
  • Ehsan Zarrinabadi 4
  • Seyede Fatemeh Eslami 5
1 Ph.D. Candidate Department. of Soil Science, Faculty of Agriculture, University of Zanjan, Iran
2 Associate Professor, Department of Soil Science, Faculty of Agriculture, University of Zanjan, Iran
3 Faculty of Agricultural Research Center, Zanjan, Iran
4 Graduate Student, Dept. of Soil Science, Faculty of Agriculture, University of Zanjan, Iran
5 Graduate Student, Dept. of Soil Science, Faculty of Agriculture, University of Zanjan, Iran
چکیده [English]

Rainfed wheat is the main source of staple food for people in the developing countries. Various factors contribute to and affect the production of this crop. The aim followed in the present study was to develop a model to estimate rainfed wheat grain yield as based on physico-chemical properties of the soil. Therefore, wheat grain yield and soil physico-chemical properties were separately determined in triplicates at 53 rainfed wheat fields throughout Zanjan Province in growing season. Year 2014 Making use of partial least square regression, a model was developed to explain the relationship between rainfed wheat grain yield vs soil properties (n=40, R2= 0.6). Silt and calcium carbonate equivalent were the most effective soil properties affecting the crop's grain yield, with the standardized coefficients of the estimating model equal to 0.23 and -0.24, respectively. The results of the research revealed that some soil physico-chemical properties including silt, calcium carbonate and potassium, in order of priority, affected most the rainfed wheat grain yield.

کلیدواژه‌ها [English]

  • : Cross validation
  • Principal component analysis
  • Partial least square regression

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