شبیه سازی عملکرد و بهره وری مصرف آب گیاه سویا تحت شرایط کم آبیاری و مقادیر مختلف کود نیتروژن با استفاده از مدل DSSAT
محورهای موضوعی : مدیریت آب در مزرعه با هدف بهبود شاخص های مدیریتی آبیاری
امیر نیک اختر
1
,
علی نشاط
2
,
نجمه یزدان پناه
3
,
علی عبدزادگوهری
4
,
ابراهیم امیری
5
1 - محقق، بخش تحقيقات خاک و آب، مركز تحقيقات و آموزش كشاورزي و منابع طبيعي هرمزگان، سازمان تحقيقات و آموزش كشاورزي، بندرعباس، ايران.
2 - دانشيار، گروه مهندسي آب، واحد کرمان، دانشگاه آزاد اسلامي، کرمان، ايران.
3 - دانشيار، گروه مهندسي آب، واحد کرمان، دانشگاه آزاد اسلامي، کرمان، ايران.
4 - محقق، بخش تحقيقات مديريت آب در مزرعه، موسسه تحقيقات خاک و آب، سازمان تحقيقات، آموزش و ترويج کشاورزي، کرج، ايران.
5 - استاد، گروه مهندسي آب، واحد لاهيجان، دانشگاه آزاد اسلامي، لاهيجان، ايران.
کلید واژه: رقم ویلیامز, زیست توده, مدل سازی گياهي, نیازآبی,
چکیده مقاله :
زمینه و هدف: تنش¬آبی و کود نیتروژن بر بسیاری از فرآیندهای فیزیکی و شیمیایی مرتبط با بهره¬وری مصرف آب در سویا اثر منفی دارد. پیش‌بینی پاسخ عملکرد برای ارزیابی استراتژی‌های مدیریت آبیاری و کود از اهمیت خاصی برخوردار است. یکی از مدل¬های پشتیبانی تصمیم در سویا، مدل CSM-CROPGRO-Soybean می¬باشد که در بسته نرم¬افزاری DSSAT قرار دارد. ﺗﺤﻘﻴﻘﺎت در ﻣﺰرﻋﻪ ﺑﺮاي ﺗﻌﻴﻴﻦ راﻫﻜﺎرﻫﺎي ﺑﻬﻴﻨﻪ در کشاورزی اﻧﺠﺎم ﻣﻲ¬ﺷﻮﻧﺪ و این مقوله ﻋﻼوه ﺑﺮ ﻫﺰﻳﻨﻪ ﺑﺮ ﺑﻮدن، زﻣﺎن ﺑﺮ ﻧﻴﺰ ﻣﻲ¬ﺑاشند، لذا هدف از این پژوهش، استفاده از ﻣﺪل ﺷﺒﻴﻪﺳﺎزي DSSAT جهت ارزیابی عملکرد و بهره¬وری مصرف آب گیاه سویا تحت شرایط تنش آبی و کود نیتروژن در استان هرمزگان بود. روش پژوهش: پژوهش حاضر به صورت طرح کرت¬های خرد شده در قالب طرح بلوک کامل تصادفي در سه تکرار در استان هرمزگان و در شهرستان حاجی¬آباد در سال¬های 1400 و 1401 انجام شد. عامل اصلي شامل بدون آبياري و تامين 40، 60، 80، 100 و 120 درصد نياز آبي و عامل فرعي مقادير کود نيتروژن شامل مصرف صفر، 50، 100، 150 و 200 کیلوگرم بر هکتار بود. دادهﻫﺎ و اﻃﻼﻋﺎت ﻣﻮرد ﻧﻴﺎز ﺑﺮاي اﺟﺮاي ﻣﺪل شامل ﻣﻮﻗﻌﻴﺖ ﻣﻜﺎﻧﻲ، اﻃﻼﻋﺎت ﻫﻮاﺷﻨﺎﺳﻲ، اﻃﻼﻋﺎت ﺧﺎک¬شناسی و ﻋﻤﻠﻴﺎت زراﻋﻲ می¬باشد و برآورد در مدل با استفاده از ترکیب روش¬هاي گرافیکی و آماري انجام شد. مقایسه مقادیر و پراکنش داده¬هاي شبیه¬سازي و اندازه¬گیري شده با نمودار و خط 1:1 ارائه شد. یافته¬ها: مقادیر آب مصرفي در تیمارهای 40، 60، 80، 100 و 120 درصد نياز آبي در سال 1400 به ترتیب 265، 354، 444، 533 و 623 میلی¬متر و در سال 1401 به ترتیب 259، 347، 435، 541 و 632 میلی¬متر بود. ریشه میانگین مربعات خطاي نسبی (RMSEn) بر مبنای سال¬های 1400 و 1401 نشان داد که عملکرد دانه، غلاف و زیست توده و بهره¬وری مصرف آب مبتنی بر عملکرد دانه، غلاف و زیست¬توده در سال¬ اول به ترتیب 162/0، 161/0، 099/0، 304/0، 454/0 و 223/0 درصد و در سال دوم به ترتیب 195/0، 172/0، 106/0، 349/0، 485/0 و 247/0 درصد بود. شاخص توافق ویلموت (d) در سال¬ 1400 برای عملکرد دانه، غلاف و زیست توده به ترتیب 902/0، 891/0 و 939/0درصد و برای بهره¬وری مصرف آب مبتنی بر عملکرد دانه، غلاف و زیست¬توده به ترتیب 828/0، 810/0 و 970/0 درصد و در سال 1401، برای عملکرد دانه، غلاف و زیست توده به ترتیب 872/0، 885/0 و 936/0 درصد و برای بهره¬وری مصرف آب مبتنی بر عملکرد دانه، غلاف و زیست¬توده به ترتیب 889/0، 766/0 و 961/0 درصد بود. نزدیک بودن این شاخص به عدد یک، نشان¬دهنده قابل اطمینان بودن مقادیر شبیه¬سازي شده است. نتیجه‌گیری: نتایج حاصل از ارزیابی مدل DSSAT نشان داد که این مدل قادر به شبیه¬سازی با دقت قابل قبولی در عملکرد سویا و تغییرات رطوبتی در خاک است. به¬طور کلی ﺑﺮ اﺳﺎس ﻧﺘﺎﯾﺞ آﻣﺎري، ﺷﺒﯿﻪ¬ﺳﺎزي ﻋﻤﻠﮑﺮد داﻧﻪ، غلاف و زیست¬توده تحت¬ﺗﺄﺛﯿﺮ نیازهای مختلف آﺑﯿﺎري و سطوح متفاوت کود نیتروژن، ﻗﺎﺑﻞ ﻗﺒﻮل بود و به¬نظر می¬رسد استفاده از این مدل به¬عنوان ابزاری راهگشا جهت پشتیبانی پژوهش¬های علمی و ارتقاء تصمیم¬گیری¬ها در مدیریت مصرف آب در سویا در منطقه مورد مطالعه قابل توصیه می¬باشد.
Background and Aim: Water and fertilizer stress have a negative effect on many physical and chemical processes related to the efficiency of water productivity in soybean, thus leading to a decrease in the yield and quality of the plant. Predicting yield response for evaluating irrigation and fertilizer management strategies is of particular importance for making decisions. One of the decision support models in soybean is the CSM-CROPGRO-Soybean model, which is included in the DSSAT software package. The researches in the farm to determine the optimal solutions are done in agriculture and this item, in addition to the cost, is also time consuming, so the aim of this research is to use the DSSAT simulation model to evaluate the yield and water productivity in soybean plant under the conditions of water stress and nitrogen fertilizer were in Hormozgan province. Method: The current research was idone in the form of split plots in the form of a randomized complete block design in 3 replications, in Hormozgan province and in Haji Abad city in the years 2021 and 2022. The main factor includes no irrigation and supply of 40, 60, 80, 100 and 120% of water requirement and the sub-factor of nitrogen fertilizer amounts included consumption of zero, 50, 100, 150 and 200 kg/hectare. The data and information needed to implement the model include location, meteorological information, soil information and agricultural operations, and the estimation in the model was done using a combination of graphic and statistical methods. Comparison of values and distribution of simulated and measured data was presented with 1:1 graph and line. Results: The amounts of water use in the treatments of 40, 60, 80, 100 and 120 percent of water requirement in 1400 were 265, 354, 444, 533 and 623 mm, respectively and in 1401 were 259, 347, 435, 541 and 632 mm, respectively. The root mean square of the relative error (RMSEn) based on the years 1400 and 1401 showed that the yield of seeds, pods and biomass and the water productivity based on the yield of seeds, pods and biomass in the first year were 0.162, 0.161, 0.099, 0.304, 0.454 and 0.223%, and in the second year it was 0.195, 0.172, 0.106, 0.349, 0.485 and 0.247%, respectively. Wilmot agreement index (d) in the year 1400 for seed yield, pod and biomass respectively 0.902, 0.891 and 0.939% and for water productivity based on seed yield, pod and biomass respectively 0.828, 0.810 and 0.970 percent. In 1401 were for seed yield, pod and biomass 0.872, 0.885 and 0.936 percent respectively and for water productivity based on seed yield, pod and biomass respectively 0.889, 0.766 0 and 0.961 percent. The closeness of this index to the number one, it indicates the reliability of the simulated values. Conclusion: In general, based on the statistical results, the simulation of seed, pod and biomass yields under the effect of different irrigation requirements and different levels of nitrogen fertilizer was acceptable and it seems that the use of the model as a useful tool to support scientific research and improving decisions in water use management in soybeans in the study area are recommended.
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