بررسی اثر عوامل مدیریت زراعی بر شاخص‌های تنوع بیماری های قارچی و عملکرد گندم در شهرستان گرگان با استفاده از روش تحلیل درخت تصمیم گیری CART

نوع مقاله: مقاله پژوهشی

نویسندگان

1 دانش آموخته کارشناسی ارشد، گروه زراعت، دانشکده کشاورزی دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گرگان، ایران

2 دانشیار، گروه زراعت، دانشکده کشاورزی دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گرگان، ایران

3 استادیار، گروه گیاه پزشکی، دانشکده کشاورزی دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گرگان، ایران

چکیده

به­منظور بررسی اثر عوامل کمی و کیفی مدیریت زراعی بر بیماری­های قارچی و عملکرد گندم، مطالعه‏ای در بهار سال 1389 در 67 مزرعه از هشت روستا واقع در چهار جهت شهرستان گرگان صورت گرفت. نمونه­برداری از مزارع گندم با استفاده از کادر 25/0 مترمربعی صورت گرفت. سپس بیماری­های قارچی شناسایی و برای محاسبه تنوع زیستی قارچ‏های بیمارگر از دو شاخص‏ هتروژنیتی شانون- وینر و سیمپسون استفاده شد. عوامل کمّی و کیفی مدیریتی در قالب پرسش­نامه از کشاورزان تهیه شد. تجزیه و تحلیل داده­ها با روش درخت تصمیم­گیری CART(Classification and Regression Trees) نشان داد که کود نیتروژن، تراکم گیاهی و کود پتاس مهم­ترین عوامل مدیریتی اثرگذار بر تغییرات شاخص تنوع شانون- وینر و کود نیتروژن، تراکم گیاهی و کود فسفر مهم­ترین عوامل مدیریتی اثرگذار بر تغییرات شاخص سیمپسون بودند. علاوه بر این، بیشترین تغییرات عملکرد گندم به­طور عمده توسط سه عامل مدیریتی میزان بذر، کود نیتروژن و تناوب پاییزه دو سال قبل نشان داده شد. به­طور کلی دو عامل مدیریتی کود نیتروژن و میزان بذر مصرفی یا تراکم گیاهی در بین شاخص­های تنوع و عملکرد گندم مشترک بودند که کود نیتروژن به­ترتیب 38 و 31 درصد از تغییرات شاخص­های شانون- وینر و سمپسون و میزان بذر مصرفی 46 درصد از تغییرات عملکرد گندم را شامل شدند. نتایج این تحقیق نشان داد که مقدار مناسب کود نیتروژن و تراکم گیاهی مطلوب راهکارهای مدیریتی مؤثر در بهبود عملکرد گندم و کاهش بیماری­های قارچی آن در استان گلستان هستند.

کلیدواژه‌ها


عنوان مقاله [English]

Study on the effect of agricultural management factors on fungal diseases diversity indices and wheat yield in Gorgan using decision tree analysis CART

نویسندگان [English]

  • Ebrahim Zeinvand Lorestani 1
  • Behnam Kamkar 2
  • Seyed Esmaeil Razavi 3
چکیده [English]

To evaluate the qualitative and quantitative effects of agricultural managements on the fungal diseases of wheat, a study was carried out at 67 wheat-grown fields located in 8 villages in four geographical sides of Gorgan, Golestan province, Iran, in 2010. Samples were taken using 0.25×0.25 m quadrates. Then pathogenic fungi were identified and used to calculate the biodiversity of pathogenic fungi, heterogeneity index of Shannon-Wiener and Simpson.Qualitative and quantitative state of agricultural managements was provided by a researcher made questionnaires from farmers. The classification and regression trees (CART) procedure showed that nitrogen fertilizer, plant density and potash fertilizer were the most important management factors affecting the Shannon-Wiener diversity index variations, and nitrogen fertilizer, plant density and phosphorus fertilizer were the most important management factors affecting the Simpson diversity index variations. Moreover, the most variability of wheat yield was mainly interpreted by management factors including seeding rate, nitrogen fertilizer and previous two years rotation. Overall, nitrogen fertilizer and seeding rate (plant density) were common between wheat yield and both Shannon-Wiener and Simpson indices, so that, nitrogen fertilizerexplained 38 and 31% of the Shannon-Wiener and Simpson indices variations, respectively, while 46% of the wheat yield variation was explained by seeding rate. The resultssuggest that appropriate amount of nitrogen fertilizer and desirable plant density were effective management options to improve the yield and reduce the fungal diseases in the Golestan province.

کلیدواژه‌ها [English]

  • Simpson index
  • Shannon-wiener index
  • Data mining
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