پیش‌بینی مراحل نمو گل رز شاخه بریده و تنوع رنگ برگ به کمک روش آنالیز تصویر

Subject Areas : Journal of Ornamental Plants

Mansour  Matloobi ¹ (Dep. of Horticulture, University of Tabriz, Tabriz, Iran)
سپیده  طهماسبی ² (دانشگاه تبریز)
محمد رضا  دادپور ³ (دانشگاه تبریز)

Received: 2016-03-19 Accepted : 2016-10-02 Published : 2017-03-01

Keywords: رنگ برگ, کلروفیل, رزهای بریدنی, آنالیز تصویری, مدل .RGB,

Abstract :

پیش­بینی مراحل رشد محصول، به­خصوص زمان برداشت آن نقش بسیار  مهمی در برنامه­ریزی تولیدات گلخانه­ای دارد. مطالعات فراوانی از کاربرد  فن­آوری تجزیه و تحلیل تصاویر دیجیتال برای تخمین رفتار رشدی محصول در گلخانه وجود دارد. در مطالعه حاضر تغییرات مشخصات رنگی برگ  چهار رقم  تجاری گل رز در طول زمان با استفاده از پردازش تصاویر رنگی توسط نرم­افزار image j و فضای رنگ RGB مورد بررسی قرار گرفت. نتایج حاصل  نشان داد که ارتباط بالایی بین اجزای رنگ برگ و مرحله رشد ساقه در ارقام دارای گل­های سفید رنگ (R2 = 0.986) و ارقام گل رنگی (R2 = 0.94) وجود دارد و همچنین تفاوت معنی­داری بین اجزای رنگ در برگ­های لایه­های مختلف ساقه مشاهده شد. همچنین همبستگی خوبی بین اندازه­گیری مستقیم کلروفیل کل توسط روش اسپکتروفتومتری و شاخص کلروفیل به وسیله SPAD بدست آمد. در بین مدل­های بررسی شده معلوم شد مدل خطی و مدل نمایی عملکرد بهتری در ایجاد رابطه منطقی بین داده­های حاصل از ارتفاع ساقه و تغیرات رنگ برگ دارند، هرچند تفاوت­هایی در این زمینه بین ارقام مشاهده شد. توانایی روش آنالیز تصویری در تشخیص غیر مخرب تغییرات رنگی در بین لایه­های برگی و برقراری یک پیوند معنی­دار و منطقی بین تغییرات رشد ساقه ارزشمند و در خور توجه تشخیص داده شد. توسعه این مدل برای سایر ارقام رز گلخانه­ای مهم می­تواند ابزار قوی و قابل اطمینانی در اختیار تولید کنندگان رزهای گلخانه­ای قرار دهد تا بتوانند به کمک آن برنامه­های تولید را تنظیم و زمان برداشت محصول و بازاررسانی را پیش­بینی کنند. 

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