Irrigation Scheduling Based on Crop Canopy Temperature for Humid Environments

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The use of infrared thermometers (IR) to measure canopy temperatures for irrigation scheduling has been successfully applied in arid environments. Functionality of this technique in humid areas has been limited due to the presence of low vapor pressure deficits (VPD) and intermittent cloud cover. This study evaluated an alternate scheduling method for humid environments based on comparing measured canopy temperature with calculated canopy temperature of a well-watered crop. Irrigation was applied when the measured canopy temperature was greater than the predicted canopy temperature for more than three consecutive hours on two consecutive days. This method was evaluated against well-watered, semi-stressed, and dryland treatments of corn, soybean, and cotton on the basis of yield, irrigation amount, and irrigation water use efficiency (IWUE). Canopy temperature was underpredicted when the VPD was greater than 2 kPa. Limiting data to conditions when the solar radiation was greater than 200 W m-2 and the Richardson number was less than 0.2 resulted in very good prediction of canopy temperatures for cotton and soybean, particularly in the later growing period, but corn temperatures were consistently underpredicted. Although soybean and cotton yields were not significantly different across treatments, IWUE was improved for corn and cotton by use of this technique. Corn yield was greater for the well-watered crop, but the IR method resulted in 85% of the maximum yield while requiring less than 50% of the irrigation water. Results from this study suggest that the threshold temperature may be up to 1°C greater for corn and soybean and up to 0.5°C greater for cotton for humid compared to arid environments. This method shows potential as a tool for irrigation scheduling in humid environments. Further work is suggested to determine if conditions of excessive cloud cover and high VPD can be better accommodated, and to refine the threshold temperatures for corn, soybean, and cotton for humid environments.

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Techniques currently used by turf managers to schedule irrigations promote overwatering, causing the inefficient use of water resources. The plant canopy temperature‐ambient air temperature differential is a good indicator of the water status of a plant. Field experiments were conducted to assess the potential of using plant canopy temperature, measured with an infrared thermometer, to schedule irrigations for Kentucky bluegrass (Poa pratensis L.) turf and to develop preliminary information to use stress degree day (SDD), crop water stress index (CWSI), and critical point model (CPM) indices to schedule irrigations. Data were collected in the summer and fall of 1983 from differentially irrigated plots. Treatments were: (i) well watered—irrigation at soil water potential of −0.04 MPa; (ii) slightly stressed—at soil water potential of −0.07 MPa; and (iii) moderately stressed—at soil water potential of −0.40 MPa. Variables were measured daily and included canopy temperature, ambient air temperature, solar radiation, vapor pressure deficit, open pan evaporation, wind speed, soil water potential, volumetric water content, number of days after irrigation, and the number of days after mowing. The data were used to develop the irrigation scheduling indices that were evaluated in 1984. Each of the indices was compared to tensiometer based irrigation scheduling at −0.07 MPa soil water potential. During a 25‐day period of hot, dry weather in 1984, water use and number of irrigation events (in parenthesis) were 98 (7), 112 (8), 140 (10), and 210 mm (15 times), respectively, for irrigation scheduling by tensiometer, SDDpos, CWSI, and CPM. Shoot density, verdure, and root weight were not significantly different for the treatments, but visual quality was higher for the CPM and CWSI treatments—reflecting the greater amount of water applied. Further refinement of these indices could allow them to be useful tools for irrigation scheduling.

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Water scarcity has been a critical constraint to economic development in semi-arid areas of China, so optimizing irrigation scheduling has become essential. This study obtained quantitative relationships between crop yield, crop water consumption, and irrigation quantity based on the Hydrus-2D and Stewart models. Different irrigation scheduling scenarios were evaluated to obtain the best irrigation scheduling based on the principle of simultaneous water conservation and crop productivity improvement with the evaluation indicators of crop yield, water use efficiency (WUE), irrigation water use efficiency (IWUE), and Critic-Topsis method. Taking drip irrigation under mulch as an example, the problem of optimizing the irrigation scheduling for different typical years was calculated. The optimization results showed that in the wet, normal, dry, and very dry years the annual irrigation quantity should be 49.68 mm, 49.68 mm, 85.38 mm, and 123.72 mm, when the WUE as well as IWUE, increases significantly, which had less impact on the crop yield and can save irrigation quantity by 30.00%, 30.00%, 35.00%, 27.00%. This study used Hydrus-2D to make a new attempt in irrigation scheduling optimization, giving full play to the model's high accuracy in soil water transport simulation and flexibility in boundary condition simulation. The optimization results can provide a reference for achieving accurate control of irrigation quantity during the crop growth period and reasonable irrigation scheduling formulation for regional crops.

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