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جلیلی, جلال, زارع ابیانه, حمید. (1402). بررسی عملکرد و بهره‌وری مصرف آب خیار گلخانه‌ای در دو سیستم آبیاری قطره‌ای و فتیله‌ای مویینگی در بافت‌های مختلف خاک با استفاده از مدل AquaCrop. , 13(4), 909-928. doi: 10.22059/jwim.2023.358372.1068
جلال جلیلی; حمید زارع ابیانه. "بررسی عملکرد و بهره‌وری مصرف آب خیار گلخانه‌ای در دو سیستم آبیاری قطره‌ای و فتیله‌ای مویینگی در بافت‌های مختلف خاک با استفاده از مدل AquaCrop". , 13, 4, 1402, 909-928. doi: 10.22059/jwim.2023.358372.1068
جلیلی, جلال, زارع ابیانه, حمید. (1402). 'بررسی عملکرد و بهره‌وری مصرف آب خیار گلخانه‌ای در دو سیستم آبیاری قطره‌ای و فتیله‌ای مویینگی در بافت‌های مختلف خاک با استفاده از مدل AquaCrop', , 13(4), pp. 909-928. doi: 10.22059/jwim.2023.358372.1068
جلیلی, جلال, زارع ابیانه, حمید. بررسی عملکرد و بهره‌وری مصرف آب خیار گلخانه‌ای در دو سیستم آبیاری قطره‌ای و فتیله‌ای مویینگی در بافت‌های مختلف خاک با استفاده از مدل AquaCrop. , 1402; 13(4): 909-928. doi: 10.22059/jwim.2023.358372.1068

بررسی عملکرد و بهره‌وری مصرف آب خیار گلخانه‌ای در دو سیستم آبیاری قطره‌ای و فتیله‌ای مویینگی در بافت‌های مختلف خاک با استفاده از مدل AquaCrop

مدیریت آب و آبیاری
دوره 13، شماره 4، دی 1402، صفحه 909-928    اصل مقاله (859.11 K)
نوع مقاله: مقاله پژوهشی
شناسه دیجیتال (DOI): 10.22059/jwim.2023.358372.1068
نویسندگان
جلال جلیلی1؛ حمید زارع ابیانه* 2
1گروه مهندسی آب، دانشکده ‌کشاورزی، دانشگاه بوعلی‌سینا، همدان، ایران.
2گروه مهندسی آب، دانشکده کشاورزی، دانشگاه بوعلی‌سینا، همدان، ایران.
چکیده
این پژوهش به‌منظور ارزیابی مدل AquaCrop در برآورد عملکرد محصول و زیست‌توده و بهره‌وری مصرف آب نسبت به محصول و زیست‌توده، گیاه خیار گلخانه‎ای با دو تیمار آبیاری قطره‌ای (TI) و فتیله‌ای مویینگی (CWI) و سه نوع خاک با بافت‌های مختلف؛ لوم‌رسی با نشان (S1)، لوم‌رسی‌شنی (S2) و لوم‌شنی (S3) در سه تکرار و دو دوره کشت در بهار 97 دوره (1) و پاییز 97 دوره (2) انجام شد. تحلیل داده‌ها براساس تجزیه واریانس مرکب و مقایسه میانگین‌ها براساس آزمون چنددامنه‌ای دانکن انجام گرفت. برای ارزیابی نتایج از داده‌های دوره اول برای واسنجی و آنالیز حساسیت و از داده‌های دوره دوم جهت اعتبارسنجی مدل استفاده شد. برای اعتبارسنجی مدل از ریشه میانگین مربعات خطای نرمال‌شده (nRMSE) و ضریب تعیین (R2) استفاده شد. براساس نتایج به‌دست‌آمده حداکثر میزان عملکرد محصول و بهره‌وری مصرف آب نسبت به محصول در سیستم‌ آبیاری قطره‌ای به‌ترتیب با میزان 64/79 تن در هکتار و 53/46 کیلوگرم بر مترمکعب در تیمار T2S1 و در سیستم آبیاری فتیله‌ای با میزان 05/62 تن در هکتار و 77/44 کیلوگرم بر متر مکعب در تیمار W2S3 مشاهده شد. بیش‌ترین دقت شبیه‌سازی در تیمار W2S3 مشاهده شد، به‌طوری‌که میزان شاخص nRMSE در صفات عملکرد محصول، عملکرد زیست‌توده و بهره‌وری مصرف آب نسبت به محصول و نسبت به زیست‌توده به‌ترتیب با میزان 80/2، 70/1، 10/1 و 70/1 درصد محاسبه شد. به‌‌دلیل بهینه‌بودن شرایط شبیه‌سازی مدل، مقادیر اکثر پارامترهای برآوردشده نسبت به داده‌های مشاهداتی بالاتر بود، اما روند افزایشی و کاهشی شبیه‌سازی مدل در برآورد مقادیر عملکرد محصول کاملاً مطابق با داده‌های مشاهداتی بود.
کلیدواژه‌ها
بستر کشت؛ روش‌های آبیاری؛ زیرسطحی؛ شییه‌سازی رشد
عنوان مقاله [English]
Evaluation of Yield and Water Use Efficiency of Greenhouse Cucumber in Drip and Capillary Wick Irrigation Systems in Different Soil Textures Using Aquacrop Model
نویسندگان [English]
Jalal Jalili1؛ Hamid zareabayneh2
1Department of Water Engineering, Faculty of Agriculture, University of Bu-Ali Sina, Hamedan,Iran.
2Department of Water Engineering, Faculty of Agriculture, University of Bu-Ali Sina, Hamedan, Iran.
چکیده [English]
This study was performed to evaluate the AquaCrop model in the crop yield, biomass, crop, and biomass water use efficiency of greenhouse cucumber with two methods of the capillary wick and drip irrigation and three soil textures including Clay-Loam marked with (S1), Sandy-Clay-Loam (S2) and Sandy-Loam (S3) in three replications and two cultivation periods in spring 2018 period (1) and autumn 2018 period (2). Data analysis was done based on compound analysis of variance and mean comparison was done based on Duncan's multi-range test. The data of the first period was used for calibration and sensitivity analysis, and the data of the second period was used to validate the model. The root-mean-square error (nRMSE) and coefficient of determination (R2) were used to validate the model. Based on results in the drip irrigation system, the maximum yield, and water use productivity were observed with 79.64 ton/ha and 46.54 kg/m3 in T2S1 treatment, and in the capillary wick irrigation system, the highest yield, and water use efficiency were observed with 62.05 ton/ha and 44.76 kg/m3 in W2S3. The model investigation results revealed that the highest simulation accuracy was observed in W2S3 treatment so that the nRMSE index in crop yield, biomass yield, crop water use efficiency and biomass water use efficiency were respectively 2.80, 1.70, 1.10, and 1.70 percent were calculated. Due to the optimality of all conditions in the model, most of the estimated parameters were higher than the observational data, still, the increasing and decreasing trend of model simulation in estimating product performance values was completely consistent with the observed data.
کلیدواژه‌ها [English]
Cultivation substrate, Evaluation, Growth simulation, Irrigation method, Subsurface
مراجع
  1. Abedi Koupai, J., & Mesforoush, M. (2009). Evaluation of superabsorbent polymer application on yield, water and fertilizer use efficiency in Cucumber (Cucumis sativus). Iranian Journal of irrigation and drainage, 3(2), 100-111. (In Persian).
  2. Abedinpour, M., Sarangi, A., Rajput, T. B. S., Singh, M., Pathak, H., & Ahmad, T. (2012). Performance evaluation of AquaCrop model for maize crop in a semi-arid environment. Agricultural Water Management, 110, 55-66.
  3. Abioye, A. E., Abidin, M. S. Z., Mahmud, M. S. A., Buyamin, S., Ishak, M. H. I., Abd Rahman, M. K. I., & Zangina, U. (2020). Performance comparison of experimental IOT based drip and fibrous capillary irrigation systems in the cultivation of cantaloupe plants. Advances in Agricultural and Food Research Journal, 1(2), 1-12.
  4. Adabi, V., Azizian, A., Ramazani Etedali, H., Kaviani, A., & Ababaei, B. (2020). Local sensitivity Analysis of AquaCrop Model for Wheat and Maize in Qazvin Plain and Moghan Pars-Abad in Iran. Iranian Journal of Irrigation and Drainage, 6(13), 1565-1579. (In Persian).
  5. Akhavan, S., Shabanpour, M., & Esfahani, M. (2012). Soil compaction and texture effects on the growth of roots and shoots of wheat. Water and Soil, 26(3), 727-735. (In Persian).
  6. Alizadeh, H.M., Nazari, B., Parsinezhad, M., Ramezani etedali, H. and Janbaz. R. 2010. Evaluation of AquaCrop model under water deficit management in Karaj region. Iranian Journal of Irrigation and Drainage, 2 (4), 273-283.
  7. Aly, A. A., Al-Omran, A. M., & Khasha, A. A. (2015). Water management for cucumber: greenhouse experiment in Saudi Arabia and modeling study using SALTMED model. Journal of Soil and Water Conservation, 70(1), 1-11.
  8. Ansari, M. A., Egdernezhad, A., & Ebrahimipak, N. A. (2019). Simulating of Potato (Solanum tuberosum) Yield under Different Irrigation Conditions using AquaCrop and Cropsyst Models. Journal of Crop Ecophysiology, 13(2), 287-304. (In Persian).
  9. Bannayan, M., & Hoogenboom, G. (2009). Using pattern recognition for estimating cultivar coefficients of a crop simulation model. Field crops research, 111(3), 290-302.
  10. Darko, R. O., Shouqi, Y., Haofang, Y., Liu, J., & Abbey, A. (2016). Calibration and validation of AquaCrop for deficit and full irrigation of tomato. International Journal of Agricultural and Biological Engineering, 9(3), 104-110.
  11. Ebrahimipak, N. A., Egdernezhad, A., & Khodadadi Dehkordi, D. (2018). Evaluation of AquaCrop Model to Simulate Corn Yield under Water deficit and Superabsorbent application. Journal of Water and Irrigation Management, 31(1), 166-184. (In Persian).
  12. Esmaeilian, Y., & Ramroudi, M. (2018). Evaluation of AquaCrop model in simulating yield and water Use efficiency of three corn hybrids under hot-dry climatic conditions. Journal of Crop Eco physiology,12(3), 355-376. (In Persian).
  13. Fadul, E., Masih, I., De Fraiture, C., & Suryadi, F. X. (2020). Irrigation performance under alternative field designs in a spate irrigation system with large field dimensions. Agricultural Water Management, 231.
  14. F.A.O. (2019). Food and agriculture organization of the United Nations statistic division https://www.Fao.org/faost at/en/#data.
  15. Farahani, H. J., Izzi, G., & Oweis, T. Y. (2009). Parameterization and evaluation of the AquaCrop model for full and deficit irrigated cotton. Agronomy journal, 101(3), 469-476.
  16. Ghaemi, M., Kalarestaghi, K., & Nabavi, S. M. (2010). Effects of different substrates on quantitative characteristics of cucumber negin cultivar in hydroponic irrigation system. New Findings in Agriculture, 4(2), 157-166. (In Persian).
  17. Greaves, G. E., & Wang, Y. M. (2016). Assessment of FAO AquaCrop model for simulating maize growth and productivity under deficit irrigation in a tropical environment. Water, 8(12), 557.
  18. Geerts, S., & Raes, D. (2009). Deficit irrigation as on-farm strategy to maximize crop water productivity in dry areas. Agricultural Water Management, 96, 1275-1284.
  19. Hashem, F. A., Edanny M. A., Abd Elmonem, E. M., & Abdallah, M. M. F. (2011). Influence of green-house cover on potential evapotranspiration and cucumber water requirements. Arab Universities Journal of Agricultural Sciences, 19(1), 205-215.
  20. Heng, L. K., Hsiao, T., Evett, S., Howell, T., & Steduto, P. (2009). Validating the FAO AquaCrop model for irrigated and water deficient field maize. Agronomy journal, 101(3), 488-498.
  21. Hoogenboom, G., White, J. W., & Messina, C. D. (2004). From genome to crop: integration through simulation modeling. Field Crops Research, 90(1), 145-163.
  22. Hsiao, T. C., Heng, L. K., Steduto, P., Rojas-Lara, B., Raes, D., & Fereres, E. (2009). AquaCrop-the FAO crop model to simulate yield response to water: III. Parameterization and testing for maize. Agronomy Journal, 101, 448-459.
  23. Jamieson, P. D., Porter, J. R., & Wilson, D. R. (1991). A test of the computer simulation model ARCWHEAT1 on wheat crops grown in New Zealand. Field crops research, 27(4), 337-350.
  24. Jodeyri Heydari, N., & Liaghat, A. (2021). Effectiveness of Wick Irrigation Method on Yield and Water Use Efficiency on Maize in Semi-Arid Area. Environment and Water Engineering, 8(1), 122-132. (In Persian).
  25. Khafajeh, H., Banakar, A., Minaei, S., & Delavar, M. (2020). Evaluation of AquaCrop model of cucumber under greenhouse cultivation. The Journal of Agricultural Science, 158(10), 845-854.
  26. Karimi Avargani, H., Rahimikhoob, A., & Nazarifar, M. H. (2017). Evaluation of AquaCrop model in simulating barley biomass production under deficit Irrigation. Journal of Water Research in Agriculture, 31(3), 341-353. (In Persian).
  27. Karimi, S., Egdernezhad, A., & Nakhjavanimoghaddam M. M. (2021). Assessing AquaCrop model accuracy for simulation of corn yield and water use efficiency in different plant densities and water amount. Journal of Environment and Water Engineering 7, 59-72.
  28. Khalili, N., Davary, K., Alizadeh, A., Kafi, M., & Ansari, H. (2015). Simulation of rainfed wheat yield using AquaCrop model, case study: Sisab rainfed researches station, Northern Khorasan. Water and Soil, 28(5), 939-9030. (In Persian).
  29. Kiyani, A. (2015). Guidelines for determining water efficiency in farms. Agricultural Engineering and Technical Research Institute-Office of the National Television Network of Agriculture and Knowledge Management.
  30. Lee, C., So, I., Jeong, S., & Huh, M. (2010). Application of Subirrigation Using Capillary Wick System to Pot Production. Journal of Agriculture and Life, 44, 7-13.
  31. Lim, T. J., Park, J. M., Park, Y. E., Lee, S. E., & Kim, K. I. (2015). Effect of soil textures on fruit yield, nitrogen and water use efficiencies of cucumber plant as affected by subsurface drip fertigation in the greenhouse. Korean Journal of Soil Science and Fertilizer, 48(5), 372-378.
  32. Mohammadi, M., Davari, K., Ghahraman, B., Ansari, H., & Haghverdi, A. (2015). Calibration and validation of AquaCrop model for simulation of spring wheat yield under simultaneous salinity and water stress. Journal of Water Research in Agriculture, 29 (3), 277-295. (In Persian).
  33. Moslehi, S., Najafi, P., Tabatabaei, S., & Nourmahnad, N. (2011). Effect of soil moisture stress on yield and growth indexes of greenhouse cucumber. Water and Soil, 25(4), 770-775. (In Persian).
  34. Najafipour, R., Ramezani Etedali., H., & Nazari, B. (2020). Determination of water productivity and greenhouse cucumber water requirement in Qazvin. Journal of Water and Soil, 6(33), 811-822.(In Persian).
  35. Odhiambo, J. A., & Aguyoh, J. N. (2022). Soil moisture levels affect growth, flower production and yield of cucumber. Agricultura Tropica et Subtropica, 55(1), 1-8.
  36. Oktem, A., Simsek, M., & Oktem, A. G. (2003). Deficit irrigation effects on sweet corn (Zea mays saccharata Sturt) with drip irrigation system in a semi-arid region: I. Water-yield relationship. Agricultural water management, 61(1), 63-74.
  37. Pilling, D., Bélanger, J., & Hoffmann, I. (2020). Declining biodiversity for food and agriculture needs urgent global action. Nature Food, 1(3), 144-147.
  38. Raes, D., Steduto, P., Hsiao, T. C., & Fereres, E. (2012). FAO, Land and water division Rome, Italy.
  39. Rahimikhoob, H., Sohrabi, T., & Delshad, M. (2020). Performance evaluation of AquaCrop model in simulating basil (Ocimum basilicum) growth under different soil fertility stress in controlled greenhouse conditions. Iranian Journal of Soil and Water Research, 51(3), 541-552. (In Persian).
  40. Razavi, R., Majidi, A., Mokhtari, D., & Ghani Shaishte, F. (2009). Investigating the effect of deficit irrigation management on quantitative and qualitative performance and water use efficiency of rapeseed. In: Proceedings of the 11th Iran Soil Science Congress, July 11-24.
  41. Sarkohaki, A., Egdernezhad, A., & Minaei, S. (2021). Determining the accuracy and efficiency of water-driven and carbon-driven crop models to simulate the yield, biomass and water use efficiency of corn. Journal of Water and Soil Sciences, 25(1), 141-156. (In Persian).
  42. Semananda, N. P., Ward, J. D., & Myers, B. R. (2016). Evaluating the efficiency of wicking bed irrigation systems for small-scale urban agriculture. Horticulturae, 2(4), 13-25.
  43. Son, J. E., Oh, M. M., Lu, Y. J., Kim, K. S., & Giacomelli, G. A. (2006). Nutrient-flow wick culture system for potted plant production: System characteristics and plant growth. Scientia horticulturae, 107(4), 392-398.
  44. Steduto, P., Hsiao, T.C., Raes, D., & Fereres, E. (2009). AquaCrop-The FAO crop model to simulate yield response to water. I. Concepts and underlying principles. Agronomy Journal, 101, 426-437.
  45. Takács, S., Csengeri, E., Pék, Z., Bíró, T., Szuvandzsiev, P., Palotás, G., & Helyes, L. (2021). Performance evaluation of AquaCrop model in processing tomato biomass, fruit yield and water stress indicator modelling. Water, 13(24), 1-15.
  46. Thomas, R. S., & Staub, J. E. (1992). Water stress and storage environment affect pillowy fruit disorder in cucumber. Journal of the American Society for Horticultural Science, 117(3), 394-399.
  47. Wesonga, J. M., Wainaina, C., Ombwara F. K., Masinde, P. W., & Home, P. G. (2014). Wick material and media for capillary wick based irrigation system in Kenya. International Journal of Science and Research, 3, 613-617.
  48. Xu, J., Bai, W., Li, Y., Wang, H., Yang, S., & Wei, Z. (2019). Modeling rice development and field water balance using AquaCrop model under drying-wetting cycle condition in eastern China. Agricultural Water Management, 213, 289-297.
  49. Zarei, Z., & Heidari, H. (2017). Investigating water use efficiency in sunflower under furrow and wick irrigation methods. Environmental Stresses in Crop Sciences, 10(4), 521-530. (In Persian).
  50. Zamani, E., Kamali Ali abad, K., & Ramin, A. A. (2020). An investigation of Salinity Stress Effects on Vegetative and Physiological Characteristics of Cucumber (Cucumis sativus). Journal of Crop Breeding, 12(33), 110-118. (In Persian).
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