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Diagnosis of Nutrient Imbalance in Wheat Plant by DRIS and PCA Approaches | ||
| Journal of Plant Physiology & Breeding | ||
| مقاله 1، دوره 7، شماره 2، پاییز و زمستان 2017، صفحه 1-9 اصل مقاله (641 K) | ||
| نوع مقاله: Research Paper | ||
| نویسندگان | ||
Abolfazl Geiklooi1؛ Adel Reyhanitabar  1؛ Nosratollah Najafi1؛ Hajir Homei2
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| 1Department of Soil Science, Faculty of Agriculture, University of Tabriz, Tabriz, Iran | ||
| 2Department of Statistics, Faculty of Mathematical Sciences, University of Tabriz | ||
| چکیده | ||
The foliar diagnosis can be considered as a useful tool to assess the nutritional status of plants. The diagnosis and recommendation integrated system (DRIS) has been developed for this purpose. In this study DRIS norms were determined for wheat plant (Triticum aestivum L.) in the Moghan region, northwest of Iran. A data bank created from nutrients concentrations of flag leaf and yield was used to subdivide data into low and high yielding subgroups based on average yield ± SD. Calculated DRIS indices showed the nutrients requirement order as fallow: Zn>Mn=Fe=Cu>N=P>B>K>Ca>Mg. Based on nutrient application potential response (NAPR) method, N, P, K, Ca, Mg and B were placed in the negative response class and Fe, Zn, Cu and Mn were placed in the positive response class. The result of principal component analysis revealed that nutrient concentration in the low and high yielding subgroups and whole data set explained 54.88%, 68.65% and 63.03% of the total variance, respectively. The involvement of several nutrients in a single PC indicated that the diagnosis of any nutrient imbalance is not possible in isolation. This study showed that in this region, macronutrients and micronutrients are in the adequate status (positive DRIS indices) and deficiency state (negative DRIS indices), respectively. Furthermore, NAPR method indicated the positive response of crops if micronutrients were added to the soil. | ||
| کلیدواژه‌ها | ||
| Diagnosis and Recommendation Integrated System (DRIS)؛ Nutrient Application Potential Response (NAPR)؛ Nutrient imbalance؛ Principal Component Analysis (PCA) | ||
| عنوان مقاله [English] | ||
| تشخیص عدم تعادل عناصر غذایی در گندم توسط سیستم تلفیقی تشخیص و توصیه و تجزیه به مولفه های اصلی | ||
| نویسندگان [English] | ||
| ابوالفضل گیکلویی1؛ عادل ریحانی تبار1؛ نصرت اله نجفی1؛ هژیر هومه ای2 | ||
| 1گروه علوم خاک، دانشکده کشاورزی، دانشگاه تبریز | ||
| 2گروه آمار، دانشکده علوم ریاضی، دانشگاه تبریز | ||
| چکیده [English] | ||
| تشخیص وضعیت تغذیهای برای بهبود کیفیت و افزایش عملکرد گندم اهمیت دارد. تشخیص برگی به عنوان ابزار مناسبی برای ارزیابی وضعیت تغذیهای گیاه میتواند استفاده شود. سیستم تلفیقی تشخیص و توصیه (DRIS) برای این هدف تکوین پیافته است. در این مطالعه نرمهای DRIS برای گیاه گندم در منطقه مغان در شمال غربی ایران تعیین شد. بانک اطلاعاتی ایجاد شده برای غلظت عناصر غذایی و عملکرد گندم برای تشکیل دو زیرگروه عملکردی بالا و پایین بر اساس فرمول متوسط عملکرد± انحراف معیار استفاده شد. شاخص DRIS ترتیب نیاز غذایی عناصر را به صورت Zn>Mn=Fe=Cu>N=P>B>K>Ca>Mg نشان داد. روش پاسخ بالقوه به کاربرد عناصر غذایی (NAPR) نشان داد که عناصز غذایی N، P، Ca، Mg وB در کلاس پاسخ منفی و عناصر غذایی Zn، Fe، Cu و Mn در کلاس پاسخ مثبت به افزودن عناصر غذایی در خاک قرار دارند. نتایج تجزیه به مولفههای اصلی نشان داد که غلظت عناصر غذایی در زیر گروه عملکردی پایین و بالا و شاخص DRIS به ترتیب 88/54، 65/68 و 03/63 درصد تغییرات واریانس کل را توضیح میدهند. | ||
| کلیدواژه‌ها [English] | ||
| پاسخ بالقوه به کاربرد عناصر غذایی(NAPR), تجزیه به مولفه های اصلی(PCA), سیستم تلفیقی تشخیص و توصیه (DRIS), عدم تعادل عناصر غذایی | ||
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آمار تعداد مشاهده مقاله: 194 تعداد دریافت فایل اصل مقاله: 185 |
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