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پارامتریابی و ارزیابی مدل SSM_iCrop برای پیش بینی رشد و نمو باقلا در شرایط آب و هوایی گرگان | ||
| به زراعی کشاورزی | ||
| مقاله 3، دوره 22، شماره 4، دی 1399، صفحه 531-542 اصل مقاله (1.08 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/jci.2020.273742.2148 | ||
| نویسندگان | ||
| بنیامین ترابی* 1؛ نجیب الله ابراهیمی2؛ افشین سلطانی3؛ ابراهیم زینلی1 | ||
| 1دانشیار، گروه زراعت، دانشکده تولید گیاهی، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گرگان، ایران. | ||
| 2دانشجوی کارشناسی‌ارشد، گروه زراعت، دانشکده تولید گیاهی، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گرگان، ایران | ||
| 3استاد، گروه زراعت، دانشکده تولید گیاهی، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گرگان، ایران. | ||
| چکیده | ||
| پژوهش حاضر به‌منظور تخمین پارامترهای مدل SSM_iCrop و ارزیابی کارایی آن در پیشبینی رشدونمو گیاه باقلا در شرایط آب‌وهوایی گرگان انجام شد. این پژوهش روی گیاه باقلا "رقم برکت" به‌صورت اسپلت پلات در قالب طرح پایه بلوک‌های کامل تصادفی در چهار تکرار در مزرعه تحقیقاتی دانشگاه علوم کشاورزی و منابع طبیعی گرگان در سال زراعی 95-1394 انجام شد. فاکتورهای آزمایش شامل تاریخ کاشت (6 آذرماه، 4 دی‌ماه و 11 بهمن‌ماه) و تراکم بوته (5، 15، 25 و 35 بوته در مترمربع) بودند. پارامترهای مربوط به مراحل فنولوژی، گسترش و پیرشدن سطح برگ، تولید و توزیع ماده خشک و موازنه آب با استفاده از دادههای آزمایش حاضر و دیگران تخمین زده شدند. نتایج ارزیابی مدل نشان داد مدل به‌خوبی می‌تواند روز تا گلدهی (8/3RMSE = و 1/4CV=)، روز تا رسیدگی (9/11RMSE = و 1/8CV = )، تعداد گره روی ساقه اصلی (7/1RMSE = و 0/10CV = )، شاخص سطح برگ (8/0RMSE = و 8/28CV =)، عملکرد بیولوژیک (5/158RMSE = و 6/21CV = ) و عملکرد دانه (6/118RMSE = و 7/24CV = ) را پیشبینی کند. بنابراین می‌توان از مدل SSM_iCrop برای بررسی وضعیت مدیریت زراعی و تجزیه و تحلیل رشد و عملکرد باقلا در شرایط گرگان استفاده کرد. | ||
| کلیدواژه‌ها | ||
| سطح برگ؛ شبیه سازی؛ عملکرد دانه؛ فنولوژی؛ ماده خشک | ||
| عنوان مقاله [English] | ||
| Parameterization and Evaluation of SSM_iCrop Model for Prediction of Growth and Development of Faba Bean in Climatic Conditions of Gorgan | ||
| نویسندگان [English] | ||
| Benjamin Torabi1؛ Najebullah Ebrahimi2؛ Afshin Soltani3؛ Ebrahim Zeinali1 | ||
| 1Associate Professor, Department of Agronomy, Faculty of Plant Production, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran. | ||
| 2M.Sc. Student, Department of Agronomy, Faculty of Plant Production, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran. | ||
| 3Professor, Department of Agronomy, Faculty of Plant Production, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran. | ||
| چکیده [English] | ||
| The present study was conducted to parameterize the SSM_iCrop model and evaluate the prediction of growth and development of faba bean in Gorgan climate condition. This study was carried out on faba bean cv."Barkat" as split-plot in randomized complete block design with four replications at Gorgan University of Agricultural Sciences and Natural Resources in 2015-2016. The experimental factors consisted of planting date (27 November, 25 December and 31 January) and plant density (5, 15, 25 and 35 plants/m2). The parameters of phonological stages, leaf expansion and senescence, production and distribution of dry matter and water balance were estimated using the present data experiment and other data. The results of model evaluation showed that, it can well predict, days to flowering (RMSE = 3.8 and CV =4.1), days to maturity (RMSE = 11.9 and CV= 8.1), node number on main stem (RMSE = 1.7 and CV = 10.0), leaf area index (RMSE =0.8 CV =28.8), biological yield (RMSE = 158.5 and CV =21.6) and seed yield (RMSE = 118.6 and CV = 24.7). Therefore, the SSM_iCrop model can be used to evaluate the agronomic management and analyze the growth and yield of faba bean in Gorgan conditions. | ||
| کلیدواژه‌ها [English] | ||
| Leaf area, Phenology, Simulation, Seed yield, Dry matter | ||
| مراجع | ||
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