Статья

Application of the AquaCrop model for cotton production under water scarce arid conditions

Obidjon SindarovTashkent Institute of Irrigation and Agricultural Mechanization Engineers (TIIAME)-National Research University, Tashkent, UzbekistanSabirjan IsaevTashkent Institute of Irrigation and Agricultural Mechanization Engineers (TIIAME)-National Research University, Tashkent, UzbekistanKholmurod KhayitovTashkent Institute of Irrigation and Agricultural Mechanization Engineers (TIIAME)-National Research University, Tashkent, UzbekistanP.U. BulanbayevaDepartment of Water Resources and Land Management, Korkyt Ata Kyzylorda University, Kyzylorda, KazakhstanShukhrat RizaevSamarkand Agroinnovations and Research University, Samarkhand, UzbekistanSobir SanayevSamarkand Agroinnovations and Research University, Samarkhand, UzbekistanSabina ZakirovaFergana State University, Fergana, UzbekistanAllamurod KhojasovInstitute of Agriculture and Agrotechnologies of Karakalpakstan, Nukus, UzbekistanFeruzbek AbdulkhaqovAndijan Institute of Agriculture and Agrotechnologies, Andijan, UzbekistanSaidakhror IsashovAndijan Institute of Agriculture and Agrotechnologies, Andijan, UzbekistanUlugbek NematovAndijan Institute of Agriculture and Agrotechnologies, Andijan, UzbekistanBakhodir KhalikovIroda TadjibekovaTashkent State Agrarian University, Tashkent, UzbekistanBakhodir KhakimovTashkent Institute of Irrigation and Agricultural Mechanization Engineers (TIIAME)-National Research University, Tashkent, UzbekistanOftoboyim KurbonovaKarshi State Technical University, Karshi, UzbekistanBotir KhaitovTashkent State Agrarian University, Tashkent, Uzbekistan

Frontiers in Sustainable Food Systemsjournal2025en

ABI

Аннотация

Cotton is an important fiber crop, yet traditional cultivation practices are heavily water intensive. As limited water resources increasingly constrain cotton productivity, it is important to investigate alternative irrigation strategies that can maintain stable yields under severe water scarcity conditions. Tools like the AquaCrop model play a key role in this process, allowing to simulate intricate relationships among management techniques, water use, crop development, and yield production. In this study, the model underwent calibration and validation based on three irrigation regimes (1-2-1; 1-3-1; 1-4-1) in three field capacity (F C ) datasets (F C 65-65-60%, F C 70-70-65%, and F C 75-75-70%) and its effectiveness was assessed through simulations of canopy cover (CC), biomass accumulation, and water productivity (WP). The results showed that the highest cotton yield was obtained under F C 70-70-65% irrigation regime (3.553 Mg ha −1 for 2022; 3.325 Mg ha −1 for 2023; 3.441 Mg ha −1 for 2024), while the simulated and measured cotton yields were consistent with a deviation &lt; 5%. WP values were also higher with the F C 70-70-65% irrigation regime, exhibiting 0.66 kg m 3 in 2024; 0.64 kg m 3 in 2023 and 0.64 kg m 3 in 2022. The deviations were in the range of &lt;2.77 to 4.89% for cotton yield, &lt;1.6 to 4.89% for WP, &lt;3.48 to 5.01% for biomass, &lt;1.17 to 5.17% for HI. Soil moisture content between measured and simulated values were observed with a coefficient of determination (R 2 ) of 0.814, 0.799 and 0.604 for Fc 65-65-60%, Fc 70-70-65% and Fc 75-7570%, respectively. Under the optimal mode (70-70-65% of Fc) of irrigation schedule, WP increased by 13.15 to 24.13% compared other irrigation regimes. It was concluded that the digitalization of agricultural irrigation using the AquaCrop model will advance water-saving priorities, contribute to climate resilience and promote more sustainable crop production practices under the challenging water scarcity conditions of arid ecosystems.

Темы

Climate change impacts on agriculture Greenhouse Technology and Climate Control Plant Water Relations and Carbon Dynamics

Идентификаторы

DOI: 10.3389/fsufs.2025.1714464

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