Irrigation Scheduling Considering Soil Variability and Climatic Uncertainty: Simulation and Field Studies

1993 ◽  
pp. 262-282 ◽  
Author(s):  
D. Or ◽  
R. J. Hanks
Keyword(s):  
Field Studies ◽  
Irrigation Scheduling ◽  
Soil Variability

The value of information for the management of deficit irrigation systems

2020 ◽  
Author(s):  
Niels Schuetze ◽  
Oleksandr Mialyk
Keyword(s):  
Deficit Irrigation ◽  
Value Of Information ◽  
Irrigation Scheduling ◽  
Future Climate ◽  
Soil Variability ◽  
Irrigated Agriculture ◽  
Soil Conditions ◽  
Irrigation Systems ◽  
Support Tool ◽  
The Impact

<p>Due to climate change, extreme weather conditions such as droughts may have an increasing impact on the water demand and the productivity of irrigated agriculture. For the adaptation to changing climate conditions, the value of information about irrigation control strategies, future climate development, and soil conditions for the operation of deficit irrigation systems is evaluated. To treat climate and soil variability within one simulation-optimization framework for irrigation scheduling, we formulated a probabilistic framework that is based on Monte Carlo simulations. The framework can support decisions when full, deficit, and supplemental irrigation strategies are applied. For the analysis, the Deficit Irrigation Toolbox (DIT) is applied for locations in arid and semi-arid climates. It allows the analysis of the impact of information on (i) different scheduling methods (ii) different crop models, (iii) climate variability using recent and future climate scenarios, and (iv) soil variability. The provided results can serve as an easy-to-use support tool for decisions about the value of climate and soil data and/or a cost-benefit analysis of farm irrigation modernization on a local scale.</p>

scholarly journals Scheduling Considerations for Automated Irrigation in the 1990s

1992 ◽  
Vol 2 (1) ◽  
pp. 73-74
Author(s):  
D.M. Glen
Keyword(s):  
Specific Growth ◽  
Canopy Temperature ◽  
Irrigation Scheduling ◽  
Soil Variability ◽  
Water Application ◽  
Fruit Crops ◽  
Severe Water Stress ◽  
Recent Developments ◽  
The Subject ◽  
Water Holding

This work focuses on recent developments and examples of irrigation scheduling that concern where in the root system and when in the plant's phenology water should be applied. Information is provided on using and measuring soil variability to help schedule irrigation. An irrigation model is described that emphasizes the soil water-holding capacity and root distribution in designing irrigation systems and scheduling water application. Recent research is reviewed on the subject of fruit crops that can tolerate severe water stress during specific growth periods of the fruit. Finally, a method of using infrared thermometers and canopy temperature data in cloudy, humid regions is presented that has the potential to extend the use of this technology.

Sustainable use of poor quality water with proper scheduling of irrigation and nitrogen levels for a rice crop

1999 ◽  
Vol 40 (2) ◽  
pp. 111-114
Author(s):  
D. K. Sharma ◽  
D. R. Sharma
Keyword(s):  
Cropping Systems ◽  
Irrigation Schedule ◽  
Sustainable Use ◽  
Soil Health ◽  
Field Studies ◽  
Positive Influence ◽  
Poor Quality ◽  
Irrigation Scheduling ◽  
Plant Interactions ◽  
Groundwater Levels

Over-exploitation of groundwaters to meet the water requirements for rice-wheat systems is causing both a fall in groundwater levels and their quality deterioration in semi-arid parts of India. Adoption of rice-wheat cropping systems by the farmers using poor quality (sodic) waters for irrigation may adversely affect soil health and thereby reduce crop yield. Adoption of an irrigation schedule coupled with optimum nitrogen doses can be advantageous for sustaining yields of rice in these areas. Strategies for optimum use of these inputs has to be based on the knowledge of soil-water-nutrient-plant interactions evolved through field studies. In order to develop such relations, studies involving several combinations of irrigation levels and nitrogen doses were conducted on rice crops at Kaithal (India), and their effect on biomass, yield, water and nitrogen use efficiency (NUE) were studied during 1993 and 1994. Irrigation schedules were based on the period of submergence ranging from 0 to 6 days. The nitrogen doses varied from 0 to 180 kg ha−1. Both irrigation and nitrogen had a positive effect on yield, which increased from 1729 kg ha−1 (continuous submergence without fertilizer) to 4522 kg ha−1 (irrigation at 3 days disappearance of water with 180 kg N ha−1. At 60 kg N ha−1, NUE varied from 35.4 to 40.9 kg ha−1 grain per kg of N. Further increase in the dose of N upto 180 kg ha−1 however resulted in a decline in NUE. Nitrogen and irrigation had a positive influence on applied water efficiency (AWE). Under continuous submerged conditions, the beneficial effect of N on AWE was observed only up to 120 kg ha−1. But at lower levels of irrigation (3 and 6 days disappearance of water), these effects continued even up to 180 kg ha−1. The results of this study indicated that there is a possibility of using the sodic water (up to residual sodium carbonate [RSC] of 8 meq/l) for growing rice provided the crop is irrigated with an appropriate irrigation scheduling with the higher dose of N under conditions of > 50 cm monsoon rainfall.

Empty visual field studies: Some effects of corrective lenses, filters, and structure.

1964 ◽  
Author(s):  
Milton S. Katz ◽  
Paul A. Cirincione ◽  
William Metlay
Keyword(s):  
Visual Field ◽  
Field Studies

Vocal signaling among male northern elephant seals: Behavioral field studies of honesty vs. associative learning

2012 ◽  
Author(s):  
Colleen Reichmuth ◽  
Caroline Casey ◽  
Isabelle Charrier ◽  
Nicolas Mathevon ◽  
Brandon Southall
Keyword(s):  
Associative Learning ◽  
Field Studies ◽  
Elephant Seals ◽  
Northern Elephant Seals ◽  
Vocal Signaling

Evapotranspiration-Based Irrigation for Agriculture: Sources of Evapotranspiration Data for Irrigation Scheduling in Florida

EDIS ◽  
2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Isaya Kisekka ◽  
Kati W. Migliaccio ◽  
Michael D. Dukes ◽  
Bruce Schaffer ◽  
Jonathan Crane ◽  
...  
Keyword(s):  
Irrigation Scheduling

This article is part of a series on ET-based irrigation scheduling for agriculture. The rest of the series can be found at http://edis.ifas.ufl.edu/topic_series_ET-based_irrigation_scheduling_for_agriculture.  

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