ارزیابی مدل‌‌‌های رگرسیون خطی و غیرخطی برای توصیف واکنش ظهور گیاهچه عدس(Lens culinaris Medik) به دما

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشگاه علوم کشاورزی و منابع طبیعی گرگان

2 عضو هیئت علمی مجتمع آموزش عالی شیروتم

3 عضو هیئت علمی دانشگاه علوم کشاورزی و منابع طبیعی گرگان

4 استادیار مجتمع آموزش عالی شیروان

چکیده

این تحقیق با هدف تعیین دماهای کاردینال و روز بیولوژیک مورد نیاز برای ظهور گیاهچه عدس با استفاده از مدل‌های رگرسیون خطی و غیرخطی انجام گرفت. برای این منظور آزمایش مزرعه‌ای با چند تاریخ کاشت به صورت طرح کرت‌های خرد شده با سه تکرار اجرا گردید. بذرهای سه رقم عدس (گچساران، بیله سوار، کیمیا) در 12 تاریخ کاشت، کشت شدند. رابطه بین سرعت ظهور گیاهچه و دما با استفاده از مدل‌های بتا، دندان مانند و دوتکه‌ای مورد ارزیابی قرار گرفت. برای انتخاب مدل برتر از میان مدل‌های مختلف از شاخص‌های آماری جذر میانگین مربع انحرافات (RMSD)، ضریب همبستگی (r)، ضریب تغییرات (CV) و ضرایب رگرسیون ساده خطی (a و b) استفاده شد. نتایج برازش مدل‌ها نشان داد که واکنش ظهور گیاهچه عدس به دما به وسیله تابع دو تکه‌ای بهتر توصیف می‌شود. با استفاده از مدل برتر دمای پایه ارقام از  27/1- تا 62/1- درجه سانتی‌گراد ، دمای مطلوب ظهور گیاهچه بسته به رقم بین 15/23 تا 92/25 درجه سانتی‌گراد و دمای سقف 30 درجه سانتی‌گراد براساس دمای هوا برآورد گردید. مقایسه پارامترهای برآورده شده با استفاده از مفهوم حدود اطمینان در سطح احتمال 95 درصد نشان داد که به لحاظ دمای پایه و دمای مطلوب اختلاف معنی‌داری بین ارقام عدس وجود نداشت ولی  از نظر روز بیولوژیک اختلاف بین ارقام معنی دار بود. نیاز روز بیولوژیکی برای ارقام بیله‌سوار، گچساران و کیمیا به ترتیب 99/6، 56/8 و 87/8 بود. اطلاعات حاصل از این تحقیق می‌تواند در پیش‌بینی ظهور گیاهچه ارقام عدس مفید باشد. مهمترین نتیجه کاربردی این تحقیق این بود که واکنش ظهور گیاهچه عدس به دما با استفاده از تابع دوتکه‌ای به بهترین شکل قابل توصیف است و بنابراین از این مدل و پارامترهای حاصل از آن می‌توان در پیش بینی ظهور گیاهچه در ارقام مورد نظر عدس استفاده نمود.

کلیدواژه‌ها


عنوان مقاله [English]

Evaluation of linear and nonlinear regression models to describe response of emergence to temperature in lentil (Lens culinaris Medik. )

نویسندگان [English]

  • Samaneh Rohban 1
  • Ghorbanali Rasam 2
  • Benyamin Torabi 3
  • Asghar Khoshnod Yazdi 4
چکیده [English]

This study was done to evaluate different linear and nonlinear regression models to determination of cardinal temperatures and biological day's requirement for emergence of lentil. Therefore, a split plot experiment was conducted based on three replications. Seeds of lentil (Gacgsaran, Kimia and Bilehsovar) were sown in field at 12 different dates. Beta, dent-like and segmented models were applied to evaluate the relationship between germination rate and temperature. Root mean square deviation (RMSD), coefficient of determination (R2), variation coefficient (CV (and linear regression coefficients (a and b) were used to select the perfect model. Results of models fitting indicated that the response of lentil emergence to temperature is best described by a segmented model. Cardinal temperatures estimated by this model were -1.27 to -1.62°C for base temperature, 23.15 to 25.92°C for optimum temperature and 30°C for ceiling temperature based on air temperature. There was not any significant difference among cultivars in view of in base temperature and optimum temperature but cultivars had significant difference in biological days. The biological day’s requirement was 6.99, 8.56 and 8.78 for Bilehsovar, Gacgsaran, and Kimia, respectively. The quantitative information provided in the present study can be used to predict the emergence of lentil cultivars.The main applicable result of this study was that reaction of seedling of the lentil is describable best by the use of segmented model, so this model and its derived parameters are applicable in predicting emergence in some given lentil cultivars.

کلیدواژه‌ها [English]

  • Emergence
  • Lentil
  • Simulation
  • Temperature
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