| تعداد نشریات | 286 |
| تعداد نشریات سازمان | 84 |
| تعداد شماره‌ها | 2,999 |
| تعداد مقالات | 33,582 |
| تعداد مشاهده مقاله | 44,283,178 |
| تعداد دریافت فایل اصل مقاله | 21,894,615 |
شبیه سازی اثر سطوح مختلف نیتروژن بر رشد و عملکرد چغندرقند | ||
| چغندرقند | ||
| مقاله 1، دوره 31، شماره 1، خرداد 1394، صفحه 15-1 اصل مقاله (881.16 K) | ||
| نوع مقاله: کامل علمی - پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/jsb.2015.12072 | ||
| نویسندگان | ||
| سمر خیامیم* 1؛ محمد بنایان اول2؛ حمید نوشاد3؛ فرانک روزبه4 | ||
| 1استادیار موسسه تحقیقات چغندرقند | ||
| 2دانشیار گروه زراعت و اصلاح نباتات دانشکده کشاورزی دانشگاه فردوسی مشهد | ||
| 3مربی موسسه تحقیقات چغندرقند | ||
| 4مربی موسسه تحقیقات اصلاح و تهیه بذر و نهال | ||
| چکیده | ||
| با استفاده از مدل‌ها عملکرد محصول و مصرف نهاده‌هایی مانند کود را می‌توان پیش‌بینی کرد و بحرانﻫای احتمالی در آینده کوتاه مدت را برنامه‌ریزی و مدیریت نمود. بر اساس مدل، تأثیر کود نیتروژن بر توزیع ماده خشک بین اندام هوایی و ریشه چغندرقند برآورد شد. برای ساخت مدل از اطلاعات آزمایش اجرا شده در کرج در سال1380استفاده گردید. ورودیﻫای مدل تشعشع خورشیدی، نیتروژن مصرفی و برخی ویژگی‌های مورفوفیزیولوژیکی چغندرقند شامل راندمان مصرف نور، سطح ویژه برگ، ضریب توزیع مواد بین ریشه و اندام هوایی بود. در این مدل 11 متغیر، شامل شش پارامتر مستقل و پنج پارامتر با اثر متقابل تعریف شد که کمتر از مدل‌های مشابه بود. راندمان مصرف نور و سطح ویژه برگ برای منطقه کرج واسنجی شد. برای اعتبار سنجی مدل از نتایج آزمایشی طی سال‌های 82-80 و آزمایش دیگری در سال 1388 در کرج استفاده شد. مقادیر شبیه‌سازی شده ماده خشک کل و ماده خشک ریشه و پوشش گیاهی توسط مدل به مقادیر مشاهدهﺍی به خوبی برازش یافت و تأثیر نیتروژن بر توزیع مواد بین اندام‌های مختلف مشخص گردید. در این مدل عملکرد شکر نیز بر اساس نیتروژن در حد مناسبی برآورد شد. جذر میانگین مربعات خطا (RMSE) بین مقادیر شبیه‌سازی شده توسط مدل با مقادیر واقعی برای ماده خشک ریشه، کل ماده خشک گیاه و عملکرد شکر به ترتیب برابر 86/12، 57/17 و 62/20 درصد به دست آمد که نشان‌دهنده برازش خوب مدل به ماده خشک ریشه و کل ماده خشک گیاه و برازش مناسب به عملکرد شکر در سطوح نیتروژن مورد مطالعه بود. | ||
| کلیدواژه‌ها | ||
| تشعشع خورشیدی؛ توزیع ماده خشک؛ شبیه‌سازی رشد؛ عملکرد شکر | ||
| عنوان مقاله [English] | ||
| Simulation of sugar beet growth and yield under different nitrogen levels | ||
| نویسندگان [English] | ||
| S. Khayamim1؛ M. Bannayan Aval2؛ H. Noshad3؛ F. Ruzbeh4 | ||
| 1Assistant Professor of Sugar Beet Seed Institute (SBSI) , Iran | ||
| 2Associate Professor of Agronomy and Plant Breeding Department, Agriculture college of Ferdosi University, Iran | ||
| 3Instructor of Sugar Beet Seed Institute (SBSI) Iran | ||
| 4Instructor of Seed and Plant Improvement Institute, Iran | ||
| چکیده [English] | ||
| Models can be used to predict crop yield and inputs levels such as fertilizer, in order to conduct programming for the management of probable future crisis. In this study, based on the model, the effect of nitrogen fertilizer on dry matter partitioning in shoot and root of sugar beet was predicted. For model construction, data were collected from an experiment conducted in Karaj city in 2001. Inputs consisted of solar radiation, applied nitrogen, and some sugar beet morphophysiological parameters such as radiation use efficiency (RUE), specific leaf area (SLA), and root and shoot partitioning coefficients. Eleven variables including six independent parameters and five parameters with interaction effects were determined in this model (less variable number than similar models). Radiation use efficiency and SLA were calibrated for Karaj region. For model validation, results of the experiments conducted in Karaj, in 2001-03 and 2009, respectively were used. Simulated data for total and root dry matter and also crop cover were fitted to the observed data properly and the effect of nitrogen application on dry matter partitioning into different organs was determined. In this model, the sugar yield was estimated on the basis of optimum nitrogen level. Root Mean Square Error (RMSE) for the simulated and observed data for total root and plant dry matter and sugar yield were 12.86, 17.57 and 20.62, respectively which showed optimum fitness of the model to total root and dry matter and also sugar yield for the studied nitrogen levels. | ||
| کلیدواژه‌ها [English] | ||
| Dry matter partitioning, Growth simulation, Solar radiation, Sugar yield | ||
|
سایر فایل های مرتبط با مقاله
|
||
| مراجع | ||
|
AbdollahianNoghabi M, Khayamim S. Application of the INTERCOM model to predict the changes of leaf area index and total dry weight of sugar beet. Iran second weeds science congress, Mashhad, Iran. 2008
Anonymous. Sugar Beet: Science in to Practice. Agriculture Science Publisher. 1998. Pp.656 (Translated in Persian).
BannayanM,Cruot NMJ. A stochastic modeling approach for real time forecasting of winter wheat yield. Field Crops Research.1999; 62: 85-95.
Fick GW, Williams WA, Loomis RS.Computer simulation of dry matter distribution during sugar beet growth.Crop Science.1973; 13: 413-417.
Gehl RJ, Boring TJ.In-Season prediction of sugar beet yield, quality and nitrogen status using an active sensor.Agronomy Journal.2011; 103: 1012-1018.
Gohari J. Rules and guidelines of sugar beet growth model adaptation and its calibration (Appendix 1 and 2). Agronomy Department Sugar Beet Seed Institute. 2001. (In Persian, abstract in English)
Gohari J,Khayamim S. Determination of leaf extinction coefficient and potential sugar beet production under plant densities and nitrogen fertilizer. Sugar Beet Seed Institute.2006.38 p.Report No.8/296. (In Persian, Abstract in English)
Hemayati SS, Evaluation of light use efficiency (LUE) in different cultivars of sugar beet. Sugar Beet Seed Institute. 2008. 92p.Report No. 31688. (In Persian, abstract in English)
Jaggard KW, Qi A, Ober ES.Capture and use of solar radiation, water and nitrogen by sugar beet (Beta Vulgaris L.).Journal of Experimental Botany. 2009; 1-7 Doi: 10.1093/jxb/rep 110.
Karimi M, Azizi M. Crop Growth Analysis. Jihad Daneshgahi Mashhad. 1994. Pp.111 (Translated in Persian).
Khademi Z, MohajerMilani P, Balali MR, Dorodi MS, Shahbazi K, Malakouti MJ.A Comprehensive computer modelfor fertilizer recommendation towards sustainable agriculture Sugar Beet. Soil and Water research Institute. 2001. 67 p. Report No. 2178. (In Persian, Abstract in English)
Khayamim S,Sugar beet simulation under different plant densities and nitrogen fertilizers (Ms Thesis). University of Tehran.2001.(In Persian, abstract in English)
Kropff MJ,Vanlaar HH. Modeling crop-weed interactions. CAB International. 1993; P.273.
Mohammadian R.Study of leaf appearance and leaf senescence rate and dry matter partitioning in sugar beet varieties.Sugar Beet Seed Institute. 2009.Report No. 88/1468. (In Persian, abstract in English)
Mohammadian R.Study of important agronomical, physiological and ecological characteristic of sugar beet crop in Iran. Sugar Beet Seed Institute. 2010.Report No. 89/704. (In Persian, abstract in English)
NasiriMahallati M. Modeling potential crop growth processes. Jihad Daneshgahi Mashhad.2000. Pp. 280. (Translated in Persian)
Noshad H. Effect of Amino acids and Humic components on the Nitrogen Use Efficiency (NUE), and Quantity and Quality of Sugar Beet in Karaj. Sugar Beet Seed Institute. 2012.Report No. 91/42589 (In Persian, abstract in English)
Richter GM, Jaggard KW, Mitchell RAC.Modeling radiation interception and radiation use efficiency forsugar beet under variable climatic stress. Agricultural and Forest Meteorology.2001; 109:13-25.
Shokuhfar AR. Study of yield, technologic value, leaf growth dynamic, quantities and qualities correlations and radiation use efficiencyin different densities of late winter sugar beet in Dezful (PhD Thesis). Azad University Science and Research Branch.2001.(In Persian, abstract in English)
Soltani A, Gholipur M, Hajizade AH.SBEET, A simple model for sugar beet growth and yield simulation.Agric Science and Technology. 2005;19(2): 1-26(In Persian, abstract in English)
Soltani A, Robertson MJ, ManschadiAM. Modeling chickpea growth and development: Nitrogen accumulation and use.Field Crop Research.2006; 99:24-34.
SpittersCJT, Van Keulen H,Van Kraalingen DWG. A simple and universal crop growth simulator: SUCROS87.In:Rabbinge R, Ward SA,Van Laar HH,Eds.Simulation and system management in crop protection. Simulation Monographs 32 Pudoc, Wageningen. 1989.pp.147-181.
VandendriesscheHJ. A model of growth and sugar accumulation of sugar beet for potential production conditions: SUBEMOpo. I. Theory and model structure. Agricultural Systems.2000 a; 64:1-19.
Vandendriessche HJ. A model of growth and sugar accumulation of sugar beet for potential production conditions: SUBEMOpo. II. Model performance. Agricultural Systems. 2000 b; 64:21-35.
Webb CR,WerkerAR, GilliganCA. Modeling the dynamical components of sugar beet crop. Annals of Botany.1997; 80: 427-436.
Weeden BR. Potential of sugar beet on Atherton Tableland.A report for Rural Industries Research and Development Corporation RIRDC publication. 2000.
Werker AR, Jaggard KW. Modeling asymmetric growth curves that rise and then fall: Application to foliage dynamics in sugar beet (Beta vulgaris L.). Annals of Botany. 1997; 79: 657-665
Yousefabadi V. Effect of irrigation and planting date on radiation use efficiency. Sugar Beet Seed Institute. 2010. Report No. 89/704 (In Persian, abstract in English) | ||
|
آمار تعداد مشاهده مقاله: 2,587 تعداد دریافت فایل اصل مقاله: 1,599 |
||
