| تعداد نشریات | 127 |
| تعداد شمارهها | 7,140 |
| تعداد مقالات | 76,861 |
| تعداد مشاهده مقاله | 154,555,021 |
| تعداد دریافت فایل اصل مقاله | 116,593,562 |
تعیین منحنی تجمع آب اشباع بحرانی گیاه اسفناج در شرایط گلخانه | ||
| تحقیقات آب و خاک ایران | ||
| دوره 57، شماره 2، اردیبهشت 1405، صفحه 431-448 اصل مقاله (1.21 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/ijswr.2026.404735.670037 | ||
| نویسندگان | ||
| محمد کارگر1؛ مجتبی دلشاد* 2؛ حدیثه رحیمی خوب3 | ||
| 1گروه علوم باغبانی، دانشکدگان کشاورزی و منابع طبیعی، دانشگاه تهران، کرج، ایران. | ||
| 2گروه علوم باغبانی، دانشکده کشاورزی، دانشکدگان کشاورزی و منابع طبیعی، دانشگاه تهران، کرج، البرز، ایران. | ||
| 3گروه مهندسی آبیاری و آبادانی، دانشکدگان کشاورزی و منابع طبیعی، دانشگاه تهران، کرج، ایران. | ||
| چکیده | ||
| با توجه به بحرانی جهانی آب و نقش حیاتی بخش کشاورزی در مصرف منابع آبی، بهینهسازی آبیاری در محیطهای کنترل شده مانند گلخانهها اهمیت ویژهای یافته است. اسفناج (Spinacia oleracea L.) بهعنوان سبزی برگی حساس به کمآبی، نیازمند مدیریت دقیق آبیاری برای حفظ عملکرد مطلوب است. هدف این پژوهش، تعیین منحنی تجمع آب اشباع بحرانی (CSWA) و شاخص وضعیت آب گیاه (WDI) در طول دوره رشد اسفناج در شرایط گلخانهای بود. این مطالعه در گلخانه پژوهشی دانشگاه تهران طی دو دوره کشت در سال 1402 و در قالب طرح کاملاً تصادفی با هفت تیمار آبیاری و سه تکرار انجام شد. با استفاده از دادههای وزن ماده خشک، منحنی تجمع آب اشباع بحرانی بهصورت (CSWA= 11.74DM0.91) استخراج گردید. سپس مدل به دست آمده با استفاده از دادههای کشت دوم صحتسنجی شد. شاخصهای آماری R2، RRMSE، MBE و d به ترتیب برابر با 97/0، 16/8، 06/0 و 99/0 به دست آمدند؛ که نتایج، دقت بالای مدل را تأیید کرد. مقدار بهدست آمده برای شاخص WDI در کشت اول بین 71/0 تا 13/1 و در کشت دوم بین 65/0 تا19/1 بهدست آمد. شاخص WDI نیز توانست همبستگی زیاد وضعیت آبی گیاه را در تیمارهای مختلف با عملکرد زیستتوده خشک (97/0R2=) بهخوبی نشان دهد. یافتههای نشان میدهند که استفاده از مدل CSWA و WDI میتواند ابزار مؤثری برای برنامهریزی آبیاری دقیق در کشت گلخانهای اسفناج باشد و زمینهساز توسعه سامانههای هوشمند آبیاری گردد. | ||
| کلیدواژهها | ||
| بحران آب؛ بهینهسازی آبیاری؛ شاخص تشخیص آب گیاه؛ کشت گلخانهای؛ مدیریت آبیاری | ||
| مراجع | ||
|
Abbas, K., Li, J., Gong, B., Lu, Y., Wu, X., Lü, G., & Gao, H. (2023). Drought stress tolerance in vegetables: the functional role of structural features, key gene pathways, and exogenous hormones. International Journal of Molecular Sciences, 24(18), 13876. Ahmed, Z., Gui, D., Murtaza, G., Yunfei, L., & Ali, S. (2023). An overview of smart irrigation management for improving water productivity under climate change in drylands. Agronomy, 13(8), 2113. Adom, R. K., Simatele, M. D., & Reid, M. (2022). Addressing the challenges of water-energy-food nexus programme in the context of sustainable development and climate change in South Africa. Journal of Water and Climate Change, 13(7), 2761-2779. Anjos Neto, A. P. D., Oliveira, G. R. F., Mello, S. D. C., Silva, M. S. D., Gomes-Junior, F. G., Novembre, A. D. D. L. C., & Azevedo, R. A. (2020). Seed priming with seaweed extract mitigate heat stress in spinach: effect on germination, seedling growth and antioxidant capacity. Bragantia, 79, 502-511. Batziakas, K. G., Stanley, H., Batziakas, A. G., Brecht, J. K., Rivard, C. L., & Pliakoni, E. D. (2020). Reducing postharvest food losses in organic spinach with the implementation of high tunnel production systems. Agronomy for Sustainable Development, 40(6), 42. Bua, C., Adami, D., & Giordano, S. (2024). GymHydro: An innovative modular small-scale smart agriculture system for hydroponic greenhouses. Electronics, 13(7), 1366. Bukhari, S. A. B. H., Lalarukh, I., Amjad, S. F., Mansoora, N., Naz, M., Naeem, M., & Fahad, S. (2021). Drought stress alleviation by potassium-nitrate-containing chitosan/montmorillonite microparticles confers changes in Spinacia oleracea L. Sustainability, 13(17), 9903. Chaudhary, S., Devi, P., HanumanthaRao, B., Jha, U. C., Sharma, K. D., Prasad, P. V., & Nayyar, H. (2022). Physiological and molecular approaches for developing thermotolerance in vegetable crops: a growth, yield and sustenance perspective. Frontiers in Plant Science, 13, 878498. Desoky, E. S. M., Mansour, E., Ali, M. M., Yasin, M. A., Abdul-Hamid, M. I., Rady, M. M., & Ali, E. F. (2021). Exogenously used 24-epibrassinolide promotes drought tolerance in maize hybrids by improving plant and water productivity in an arid environment. Plants, 10(2), 354. Dietz, K. J., Zörb, C., & Geilfus, C. M. (2021). Drought and crop yield. Plant Biology, 23(6), 881-893. Fontanet, M., Fernàndez-Garcia, D., Rodrigo, G., Ferrer, F., & Villar, J. M. (2022). Combined simulation and optimization framework for irrigation scheduling in agriculture fields. Irrigation science, 40(1), 115-130. Fussy, A., & Papenbrock, J. (2022). An overview of soil and soilless cultivation techniques—chances, challenges and the neglected question of sustainability. Plants, 11(9), 1153. Gawronski, S., & Skapski, H. (1976). The optimum spacing for spinach grown in weed-free conditions. Hogeboom, R. J. (2020). The water footprint concept and water's grand environmental challenges. One Earth, 2(3), 218-222. 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. Kovár, M., & Olsovská, K. (2020). Mechanisms of drought resistance in common spinach (Spinacia oleracea L.) and New Zealand spinach (Tetragonia tetragonoides (Pall.) Kuntze) plants under soil dehydration. Journal of Central European Agriculture, 21(2), 275-284. Lawson, T., & Matthews, J. (2020). Guard cell metabolism and stomatal function. Annual review of plant biology, 71(1), 273-302. Lee, T., Jang, W. S., Chun, B., Ahmad, M. J., Jung, Y., Kim, J., & Shin, Y. (2023). Development of irrigation schedule and management model for sustaining optimal crop production under agricultural drought. Paddy and Water Environment, 21(1), 31-45. Liang, Z., Liu, X., Xiao, J., & Liu, C. (2021). Review of conceptual and systematic progress of precision irrigation. International Journal of Agricultural and Biological Engineering, 14(4), 20-31. Masseroni, D., Gangi, F., Ghilardelli, F., Gallo, A., Kisekka, I., & Gandolfi, C. (2024). Assessing the water conservation potential of optimized surface irrigation management in Northern Italy. Irrigation Science, 42(1), 75-97. Mehmood, F., Wang, G., Abubakar, S. A., Zain, M., Rahman, S. U., Gao, Y., & Duan, A. (2023). Optimizing irrigation management sustained grain yield, crop water productivity, and mitigated greenhouse gas emissions from the winter wheat field in North China Plain. Agricultural Water Management, 290, 108599. Mishra, N., Jiang, C., Chen, L., Paul, A., Chatterjee, A., & Shen, G. (2023). Achieving abiotic stress tolerance in plants through antioxidative defense mechanisms. Frontiers in Plant Science, 14, 1110622. Muhammad, I., Shalmani, A., Ali, M., Yang, Q. H., Ahmad, H., & Li, F. B. (2021). Mechanisms regulating the dynamics of photosynthesis under abiotic stresses. Frontiers in plant science, 11, 615942. Naseem, J., Shah, A. A., Usman, S., Ahmed, S., Gatasheh, M. K., Shaffique, S., & Javad, S. (2025). Green synthesized FeNPs ameliorate drought stress in Spinacia oleracea L. through improved photosynthetic capacity, redox balance, and antioxidant defense. Scientific Reports, 15(1), 1782. Nikolaou, G., Neocleous, D., Christou, A., Kitta, E., & Katsoulas, N. (2020). Implementing sustainable irrigation in water-scarce regions under the impact of climate change. Agronomy, 10(8), 1120. Parkash, V., & Singh, S. (2020). A review on potential plant-based water stress indicators for vegetable crops. Sustainability, 12(10), 3945. Preite, L., Solari, F., & Vignali, G. (2023). Technologies to optimize the water consumption in agriculture: A systematic review. Sustainability, 15(7), 5975. Rahimikhoob, H., Sohrabi, T., & Delshad, M. (2020). Assessment of reference evapotranspiration estimation methods in controlled greenhouse conditions. Irrigation Science, 38, 389-400. Ramezanifar, H., Yazdanpanah, N., Golkar Hamzee Yazd, H., Tavousi, M., & Mahmoodabadi, M. (2022). Synergistic and antagonistic interactions of soil water potential and osmotic potential linked to nitrogen fertilization on spinach traits and water use efficiency. Journal of Plant Nutrition, 45(3), 389-412. Schlering, C., Zinkernagel, J., Dietrich, H., Frisch, M., & Schweiggert, R. (2020). Alterations in the Chemical Composition of Spinach (Spinacia oleracea L.) as Provoked by Season and Moderately Limited Water Supply in Open Field Cultivation. Horticulturae, 6(2), 25. https://doi.org/10.3390/horticulturae6020025 Seymen, M., Yavuz, D., Can, H., Kıymacı, G., Türkmen, Ö., Paksoy, M., ... & Kurtar, E. S. (2024). Molecular and physiological responses to exogenously applied melatonin in spinach under deficit irrigation conditions. Journal of Plant Growth Regulation, 43(6), 1858-1874. Taghvaeian, S., Andales, A. A., Allen, L. N., Kisekka, I., O’Shaughnessy, S. A., Porter, D. O., & Aguilar, J. (2020). Irrigation scheduling for agriculture in the United States: The progress made and the path forward. Transactions of the ASABE, 63(5), 1603-1618. Tzanakakis, V. A., Angelakis, A. N., Paranychianakis, N. V., Dialynas, Y. G., & Tchobanoglous, G. (2020). Challenges and opportunities for sustainable management of water resources in the island of Crete, Greece. Water, 12(6), 1538. Uçgun, K., Ferreira, J. F., Liu, X., da Silva Filho, J. B., Suarez, D. L., Lacerda, C. F. D., & Sandhu, D. (2020). Germination and growth of spinach under potassium deficiency and irrigation with high-salinity water. Plants, 9(12), 1739. Wabela, K., Hammani, A., Abdelilah, T., Tekleab, S., & El-Ayachi, M. (2022). Optimization of irrigation scheduling for improved irrigation water management in Bilate Watershed, Rift Valley, Ethiopia. Water, 14(23), 3960. Wahab, A., Abdi, G., Saleem, M. H., Ali, B., Ullah, S., Shah, W., ... & Marc, R. A. (2022). Plants’ physio-biochemical and phyto-hormonal responses to alleviate the adverse effects of drought stress: A comprehensive review. Plants, 11(13), 1620. Wang, X. (2022). Managing land carrying capacity: Key to achieving sustainable production systems for food security. Land, 11(4), 484. Willmott, C. J. (1982). Some comments on the evaluation of model performance. Bulletin of the American Meteorological Society, 63(11), 1309-1313. Yan, H., Deng, S., Zhang, C., Wang, G., Zhao, S., Li, M., & Zhou, Y. (2023). Determination of energy partition of a cucumber grown Venlo-type greenhouse in southeast China. Agricultural Water Management, 276, 108047. Yang, X., Lu, M., Wang, Y., Wang, Y., Liu, Z., & Chen, S. (2021). Response mechanism of plants to drought stress. Horticulturae, 7(3), 50. Zhao, B., Ata-Ul-Karim, S. T., Lemaire, G., Schmidhalter, U., Duan, A., Qin, A., & Liu, Z. (2022). Determining the plant critical saturated water accumulation curve in maize. Field Crops Research, 284, 108556. Zhao, Y., Li, G., Li, S., Luo, Y., & Bai, Y. (2024). A review on the optimization of irrigation schedules for farmlands based on a simulation–optimization model. Water, 16(17), 2545. Zhuang, T., Zhao, B., Ata-UI-Karim, S. T., Lemaire, G., Liu, X., Tian, Y., & Cao, Q. (2024). Can the allometric relationship between saturated water accumulation and dry mass be used to diagnose the water status of winter wheat?. Field Crops Research, 315, 109474. Zhuang, T., Zhao, B., Ata-Ul-Karim, S. T., Lemaire, G., Liu, X., Tian, Y., & Cao, Q. (2025). Exploring the allometry between ear saturated water accumulation and dry mass for diagnosing winter wheat water status during the reproductive growth. Agricultural Water Management, 309, 109364. | ||
|
آمار تعداد مشاهده مقاله: 36 تعداد دریافت فایل اصل مقاله: 53 |
||