Optimizing Irrigation Scheduling of Summer Corn (Zea mays l.) in a Coastal Saline Field, China

2014 ◽  
Vol 1030-1032 ◽  
pp. 673-678
Author(s):  
Ting Ting Chang ◽  
Xiao Hou Shao ◽  
Wei Li ◽  
Xin Yu Mao ◽  
Wei Na Wang
Keyword(s):  
Zea Mays ◽  
Water Supply ◽  
Field Study ◽  
Irrigation Water ◽  
Water Productivity ◽  
Irrigation Scheduling ◽  
Corn Yield ◽  
Total Water ◽  
Irrigation Water Productivity ◽  
Local Farmers

Field study was conducted to determine the optimum irrigation quantity and times of corn in 2010. Different irrigation treatments were set according to local farmers’ practices. Irrigation amounts of T1, T2, T3, T4, T5 and T6 were 225, 270, 337.5, 300, 360 and 450 mm, respectively. Irrigation times of T1, T2 and T3 were 3, and T4, T5 and T6 were 4. The results showed that soil salt decreased with the increasing of irrigation water amounts. The corn yield varied from 6560 to 8060 kg/ha2. The highest yield was obtained from T5. Aiming to get high corn yield, total water supply of corn crops was 865 mm. Irrigation water productivity (Wpi) was the highest (2.92 kg/m3) with T1, and the lowest (1.74 kg/m3) with T6.

scholarly journals Scheduling of irrigation with mulch under different sugarcane planting methods

2019 ◽  
Vol 117 ◽  
pp. 00011
Author(s):  
Thimmegowda Puttavenkategowda ◽  
T. E. Nagaraja
Keyword(s):  
Irrigation Water ◽  
Green Manure ◽  
Water Productivity ◽  
Irrigation Scheduling ◽  
Furrow Irrigation ◽  
Cane Yield ◽  
Total Water ◽  
Planting Methods ◽  
Plot Design

A filed experiment was conducted at ZARS, V. C. Farm, Mandya to enhance the crop and water productivity in sugarcane during 2017-18 and 2018-19. The design used was strip plot design with planting methods as a horizontal factor and irrigation scheduling as a vertical factor with three replications. Among the planting methods, 120 cm row spaced furrow planting with dhaincha green manure sowing at 30 DAP and mulching at 75 DAP recorded significantly higher cane yield (158.5 and 161.0 t/ha, respectively) as compared to others during both the years of experimentation. Among the irrigation schedules, IW/CPE ratio of 1.0 recorded significantly higher yield (168.1 and 170.8 t/ha, respectively) as compared to IW/CPE ratio of 0.60 (129.7 and 131.8 t/ha, respectively). The total water used was significantly lower in 120 cm spaced furrow planting with alternate skip furrow irrigation afte5r earthing + green manure mulching (1773 and 1751 mm, respectively) and it saved 16% of irrigation water. Scheduling of irrigation at IW/CPE ratio of 0.6 consumed lowest amount of irrigation water (1725 mm) and saved 18% of irrigation water.

Evaluation of strategies for increasing irrigation water productivity of maize in southern New South Wales using the MaizeMan model

2008 ◽  
Vol 48 (3) ◽  
pp. 304 ◽  
Author(s):  
E. Humphreys ◽  
R. J. G. White ◽  
D. J. Smith ◽  
D. C. Godwin
Keyword(s):  
Soil Water ◽  
Real Time ◽  
Irrigation Water ◽  
New South ◽  
Water Productivity ◽  
New South Wales ◽  
Irrigation Scheduling ◽  
Weather Data ◽  
South Wales ◽  
Irrigation Water Productivity

MaizeMan is Windows-based decision support software, derived from CERES Maize and SWAGMAN Destiny, which can be used for real-time irrigation scheduling or strategic analysis. Evaluation of MaizeMan for sprinkler and furrow-irrigated maize (Pioneer 3153) showed good predictive ability for yield, biomass, runoff and soil water depletion between sowing and harvest. MaizeMan simulations using 43 years of weather data from Griffith, New South Wales, suggested that the biggest influence on yield, irrigation requirement and irrigation water productivity is seasonal weather conditions. For example, yield of October-sown 3153 irrigated frequently to avoid soil water deficit varied from about 8 to 16 t/ha, while net irrigation and net irrigation water productivity varied from 7 to 11 ML/ha and 0.8 to 1.6 t/ML, respectively. The optimum sowing window for maximising yield and irrigation water productivity is wide, from late September to mid November. Delaying sowing beyond this may result in higher yield and irrigation water productivity; however, delayed maturity would lead to problems for grain drying and harvesting in winter and increased insect pressure. The simplest management strategy for maximising yield and irrigation water productivity is irrigation scheduling tailored to soil type. Irrigation scheduling can be assisted by real-time scheduling using MaizeMan, provided soil hydraulic properties are accurately characterised. One to two irrigations can also be saved by growing shorter duration hybrids, but the tradeoff is lower yield, while irrigation water productivity is maintained. Simulated sprinkler irrigation increased yield and net irrigation water productivity by small amounts (averages of 0.5 t/ha and 0.2 t/ML, respectively) relative to well-scheduled flood irrigation, through improved soil water and aeration status and reduced deep drainage loss.

Development and Evaluation of a Variable-Rate Irrigation Management Method in the Mississippi Delta

2021 ◽  
Vol 64 (1) ◽  
pp. 287-298
Author(s):  
Ruixiu Sui ◽  
Jonnie Baggard
Keyword(s):  
Electrical Conductivity ◽  
Soil Moisture ◽  
Water Use ◽  
Irrigation Water ◽  
Mississippi Delta ◽  
Water Productivity ◽  
Variable Rate ◽  
Irrigation Water Use ◽  
Irrigation Water Productivity ◽  
Variable Rate Irrigation

HighlightsWe developed and evaluated a variable-rate irrigation (VRI) management method for five crop years in the Mississippi Delta.VRI management significantly reduced irrigation water use in comparison with uniform-rate irrigation (URI). There was no significant difference in grain yield and irrigation water productivity between VRI and URI management.Soil apparent electrical conductivity (ECa) was used to delineate irrigation management zones and generate VRI prescriptions.Sensor-measured soil water content was used in irrigation scheduling.Abstract. Variable-rate irrigation (VRI) allows producers to site-specifically apply irrigation water at variable rates within a field to account for the temporal and spatial variability in soil and plant characteristics. Developing practical VRI methods and documenting the benefits of VRI application are critical to accelerate the adoption of VRI technologies. Using apparent soil electrical conductivity (ECa) and soil moisture sensors, a VRI method was developed and evaluated with corn and soybean for five crop years in the Mississippi Delta. Soil ECa of the study fields was mapped and used to delineate VRI management zones and create VRI prescriptions. Irrigation was scheduled using soil volumetric water content measured by soil moisture sensors. A center pivot VRI system was employed to deliver irrigation water according to the VRI prescription. Grain yield, irrigation water use, and irrigation water productivity in the VRI treatment were determined and compared with that in a uniform-rate irrigation (URI) treatment. Results showed that the grain yield and irrigation water productivity between the VRI and URI treatments were not statistically different with both corn and soybean crops. The VRI management significantly reduced the amount of irrigation water by 22% in corn and by 11% in soybean (p = 0.05). Adoption of VRI management could improve irrigation water use efficiency in the Mississippi Delta. Keywords: Soil electrical conductivity, Soil moisture sensor, Variable rate irrigation, Water management.

scholarly journals Orchard Level Assessment of Irrigation Performance and Water Productivity of an Irrigation Community in Eastern Spain

Agronomy ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1829
Author(s):  
Herminia Puerto ◽  
Miguel Mora ◽  
Bernat Roig-Merino ◽  
Ricardo Abadía-Sánchez ◽  
José María Cámara-Zapata ◽  
...  
Keyword(s):  
Irrigation Water ◽  
Energy Use ◽  
Water Productivity ◽  
Distribution Networks ◽  
Irrigation Scheduling ◽  
Irrigation Performance ◽  
Irrigation Water Use ◽  
Use Efficiency ◽  
Fruit Orchards ◽  
Peach Trees

Over the last three decades, a great investment effort has been made in the modernization of irrigation in the Valencian Community (Spain). The initial change from distribution networks to pressurized ones and the shift towards drip irrigation systems was followed by improvements in irrigation scheduling, based on agrometeorological data, soil water content sensors, and remote sensing. These improvements are considered adequate for increasing irrigation water use efficiency, but it is difficult to find systematic measurements to assess its impacts on irrigation adequacy along with irrigation productivity in fruit orchards. This work presents the results of a four year assessment of irrigation water and energy use efficiency along with water productivity of a recently established irrigation community in the province of Valencia (Spain). The study was carried out at the orchard level and focused on two fruit crops: persimmon and peach trees. Six irrigation performance indicators, relative water supply (RWS), relative irrigation supply (RIS), yield performance (Yp), global water productivity (WPoverall), output per unit irrigation water (OUI), and the percent of nitrogen fertilization obtained by irrigation water, were defined and calculated for years 2017 to 2020 in 104 persimmon and peach orchards. The results showed that most of the farmers irrigated below the crop water requirements, showing RWS and RIS values less than 1, and there was great variability among farmers, especially in WPoverall and OUI indicators.

scholarly journals Potential and Actual Water Savings through Improved Irrigation Scheduling in Small-Scale Vegetable Production

Agronomy ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 888 ◽  
Author(s):  
Christoph Studer ◽  
Simon Spoehel
Keyword(s):  
Water Use ◽  
Irrigation Water ◽  
Drip Irrigation ◽  
Water Productivity ◽  
Irrigation Scheduling ◽  
Small Scale ◽  
Vegetable Production ◽  
Usual Practice ◽  
Irrigation Water Use ◽  
Small Scale Farmers

Appropriate irrigation scheduling for efficient water use is often a challenge for small-scale farmers using drip irrigation. In a trial with 12 farmers in Sébaco, Nicaragua, two tools to facilitate irrigation scheduling were tested: the Water Chart (a table indicating required irrigation doses) and tensiometers. The study aimed at evaluating if and to what extent simple tools can reduce irrigation water use and improve water productivity in drip-irrigated vegetable (beetroot; Beta vulgaris L.) production compared with the farmers’ usual practice. Irrigation water use was substantially reduced (around 20%) when farmers irrigated according to the tools. However, farmers did not fully adhere to the tool guidance, probably because they feared that their crop would not get sufficient water. Thus they still over-irrigated their crop: between 38% and 88% more water than recommended was used during the treatment period, resulting in 91% to 139% higher water use than required over the entire growing cycle. Water productivity of beetroot production was, therefore, much lower (around 3 kg/m3) than what can be achieved under comparable conditions, although yields were decent. Differences in crop yield and water productivity among treatments were not significant. The simplified Water Chart was not sufficiently understandable to farmers (and technicians), whereas tensiometers were better perceived, although they do not provide any indication on how much water to apply. We conclude that innovations such as drip irrigation or improved irrigation scheduling have to be appropriately introduced, e.g., by taking sufficient time to co-produce a common understanding about the technologies and their possible usefulness, and by ensuring adequate follow-up support.

Sign in / Sign up

Export Citation Format

Share Document