Effects of Water Application Frequency and Water Use Efficiency Under Deficit Irrigation on Maize Yield in Xinjiang

文献类型： 外文期刊

第一作者： Duan, Tianjiang

作者： Duan, Tianjiang;Zhang, Licun;Liang, Fei;Zhang, Licun;Liang, Fei;Wang, Guodong

作者机构：

关键词： maize; irrigation frequency; water use efficiency; yields; water shortage

期刊名称：AGRONOMY-BASEL （ 影响因子：3.4； 五年影响因子：3.8 ）

ISSN：

年卷期： 2025 年 15 卷 5 期

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收录情况： SCI

摘要： Water conservation is critical for global maize production, particularly in arid regions where water scarcity, exacerbated by climate change, threatens conventional irrigation sustainability. Optimizing irrigation strategies to reconcile water productivity and yield remains a key scientific challenge in water-limited agriculture. This four-year study (2018-2021) evaluated integrated irrigation management that combined frequency and volume adjustments. A field experiment compared three strategies: high-frequency limited irrigation (HL: 2400 m(3)hm(-2)), low-frequency conventional irrigation (LC: 2400 m(3)hm(-2)), and high-frequency conventional irrigation (HC: 4800 m(3)hm(-2)). The four-year mean yield showed that HL (10,793.78 kghm(-2)) had a non-significant 18.2% numerical advantage over LC (9129.11 kghm(-2), p > 0.05). The WUE for HL reached 3.63 kgm(-3), representing an 18.6% numerical increase compared to LC (3.06 kgm(-3); p > 0.05). Physiological parameters (plant height + 2.6%, leaf area + 9.9%, SPAD + 1.5%) showed marginal improvements in HL, yet lacked both statistical significance (p > 0.05) and strong yield correlation. Multi-year analyses confirmed no statistically distinguishable differences between strategies (p > 0.05), demonstrating that irrigation frequency adjustments alone cannot reliably enhance drought resilience. These findings caution against advocating for HL as a superior practice, given the statistical equivalence between HL and LC despite water savings, and the non-significant yield gap between HL and HC. Future research must establish causality through models integrating real-time soil-crop-climate feedback prior to recommending altered irrigation regimes.

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