Irrigation Management Strategies for Enhanced Rice Productivity

Summary

Rice cultivation accounts for a substantial share of global freshwater use, prompting urgent interest in irrigation management strategies that conserve water while sustaining or boosting grain yields. Traditional continuous flooding ensures weed suppression and nutrient availability but carries high evapotranspiration losses and greenhouse-gas emissions. Alternate wetting and drying (AWD) reduces irrigation volumes by allowing the soil to dry to a predetermined threshold before reflooding, maintaining yields and improving water use efficiency. Drip and furrow systems, often combined with mulching, target water delivery to the root zone and reduce deep percolation. Integration of irrigation scheduling with nutrient management, planting density and cultivar selection further refines water productivity, as water supply and nitrogen uptake interact to influence tiller formation, leaf area development and biomass accumulation. Laser land levelling, controlled-release fertilisers and precision sensors enhance the synchrony between crop demand and water delivery, supporting resilient production in the face of water scarcity, variable climates and competing uses.

Research from Nature Portfolio

Integrated crop management trials in subtropical double-season rice systems have demonstrated that coordinated adjustments to plant density and nutrient regimes can amplify the benefits of water-saving irrigation. By increasing hill density and optimising nitrogen and phosphorus applications, researchers achieved grain yields exceeding 9.4 t ha⁻¹ in the early season and 10.5 t ha⁻¹ in the late season—13.5 % higher than conventional farmers’ practices—without additional water input. Yield gains were attributed to larger sink size from increased panicle number per unit area and enhanced canopy function, as evidenced by higher leaf area index, prolonged leaf area duration, improved radiation use efficiency and accelerated crop growth rate. This work underscores the value of synchronising irrigation scheduling with nutrient uptake and canopy development to maximise water productivity under intensive rice rotations.

Irrigation Management Strategies for Enhanced Rice Productivity publication trend

The graph below shows the total number of articles in irrigation management strategies for enhanced rice productivity across all publications each year (not limited to Nature Index journals).

Technical terms

Alternate Wetting and Drying (AWD): An irrigation cycle that alternates ponded water and soil drying phases to reduce total water use while maintaining flooded-field benefits.

Continuous Flooding: A traditional paddy irrigation regime maintaining a permanent water layer above the soil surface throughout the growing season.

Water Use Efficiency (WUE): The ratio of grain yield to the volume of irrigation water applied, reflecting productivity per unit water.

Leaf Area Index (LAI): The total one-sided leaf area per unit ground area, indicating canopy size and light interception capacity.

Radiation Use Efficiency (RUE): The efficiency with which a crop converts intercepted solar radiation into aboveground biomass.

Soil Matric Potential: A measure of the energy status of water in soil, used to determine when to irrigate in water-saving regimes.

References

  1. Integrated crop management practices for maximizing grain yield of double-season rice crop. Scientific Reports (2017).
  2. Effects of Alternate Wetting and Drying Irrigation Regime and Nitrogen Fertilizer on Yield and Nitrogen Use Efficiency of Irrigated Rice in the Sahel. Water (2018).
  3. Soil Texture and Cultivar Effects on Rice (Oryza sativa, L.) Grain Yield, Yield Components and Water Productivity in Three Water Regimes. PLOS ONE (2016).
  4. Rice Performance and Water Use Efficiency under Plastic Mulching with Drip Irrigation. PLOS ONE (2013).
  5. Application of Controlled-Release Urea Enhances Grain Yield and Nitrogen Use Efficiency in Irrigated Rice in the Yangtze River Basin, China. Frontiers in Plant Science (2018).
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