ارزیابی مدل SSM-wheatدر شبیه‎سازی رشد و نمو ارقام گندم(Triticum aestivum L.) در تراکم‌های مختلف کاشت

بوم شناسی کشاورزی

مقاله 6، دوره 17، شماره 1 - شماره پیاپی 63، فروردین 1404، صفحه 109-122   

نوع مقاله: مقاله پژوهشی

شناسه دیجیتال (DOI): 10.22067/agry.2025.89376.1209

نویسندگان

علی راحمی کاریزکی^{* 1}؛ فرامرز سیدی²؛ حبیب الله سوقی²؛ اراز قلیچ معارفی¹؛ مجتبی صالحی شیخی¹؛ سعید باقری کیا^{* 2}

¹گروه تولیدات گیاهی، دانشکده کشاورزی و منابع طبیعی، دانشگاه گنبد کاووس، گنبد کاووس، ایران

²بخش زراعی و باغی، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان گلستان، سازمان تحقیقات، آموزش و ترویج کشاورزی، گرگان، ایران

چکیده

گندم (Triticum aestivum L.) یکی از مهم‌ترین و پرمصرف‌ترین گیاهان زراعی شناخته‌شده در جهان می‌باشد. یکی از شاخه‌های علم زراعت و فیزیولوژی گیاهان زراعی مدل‌سازی گیاهان زراعی است. در مدل SSM شبیه‌سازی ساده‌ای برای تخمین عملکرد و مراحل فنولوژیک محصولات مختلف به‌کار رفته است. هدف از این آزمایش ارزیابی مدلSSM-Wheat در شرایط تراکم‌های متفاوت و تنش خشکی انتهای فصل رشد است. این آزمایش در سال زراعی 1401-1400 در ایستگاه تحقیقات کشاورزی گنبدکاووس به اجرا در آمد. آزمایش فاکتوریل عوامل آزمایش شامل تراکم بوته در 6 سطح (شامل 200، 250، 300، 350، 400 و 450 بذر در متر مربع) و ژنوتیپ در 6 سطح (شامل N-93-9، تکتاز، آراز، آرمان، کلاته و تیرگان) بودند. در این تحقیق برای شبیه‌سازی رشد و نمو گندم نان از مدل SSM-wheat استفاده شد. نتایج مدل با استفاده از آماره‌های مبتنی بر اختلاف مقادیر شبیه‌سازی و مشاهده‌شده شامل ضریب تبیین (R2)، جذر میانگین مربعات خطا (RMSE)، جذر میانگین مربعات خطای نرمال شده (nRMSE) و خط یک به یک نشان داد که مدل توانست از میان مراحل فنولوژیک اصلی و عملکرد را با دقت قابل قبولی برآورد کند. در حالی که روز تا پنجه‌زنی و روز تا ساقه رفتن با دقت کمتری برآورد شد. به طور کلی، مطالعه حاضر تأیید کرد که SSM -Wheat یک مدل ساده، قوی و شفاف است که برای کاربردهای زراعی با هدف بهبود تصمیم‌گیری فنی در مدیریت محصولات زراعی مناسب است.

کلیدواژه‌ها

جذر میانگین مربعات خطا؛ جذر میانگین مربعات خطای نرمال‌شده؛ عملکرد دانه؛ مراحل فنولوژی

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