Special Issue "Modelling for Water Management in Agriculture Systems"
A special issue of Agriculture (ISSN 2077-0472).
Deadline for manuscript submissions: closed (28 September 2018)
Scientists in the mid-to-late 20th century started feeling the need to synthesize, to a whole systems level, the quantitative knowledge obtained from numerous component experiments in cropping systems research, so that their research results could be transferable to other soils and climates. In this context, crop models were developed to effectively integrate and synthesize knowledge from different disciplines, encompassing plant, soil, water, and atmosphere, and simulate the impact of management and resources on crop production. In essence, crop models provide a vehicle for delivering detailed knowledge on a systems level directly to users.
With the competing demands for water (agriculture vs. urban needs) as well as grains (food vs. fuel), location-specific, sound, system level knowledge of crop responses to water is critical for management decisions in optimizing productivity in both rainfed and irrigated agriculture. The measured crop yield responses to irrigation water, however, may vary from year to year due to the observed wide variations in the severity and timing of the water inputs and other biotic and abiotic stresses controlled by location specific climate variability characteristics. The actual irrigation water applied to meet the needed crop water requirements will also vary with the method of irrigation and water application efficiency in the field. As such, like any other agro-management practice, the transfer of location specific irrigation technologies across locations has confronted with practical difficulties owing to different precipitation regimes, soils, and landscapes; therefore, for use in optimizing water productivity, location specific crop-water relationships that are averaged over longer term weather conditions are prerequisites. Obtaining such information based on measured experimental data at a specific location is very expensive to obtain, and hence seldom available worldwide. In this context, cropping system models based on state-of-the-science knowledge-base in soil-water-nutrient-plant-air and long-term weather data are being used to develop this information. In this perspective, comprehensive process oriented agricultural systems models are tools that provide a systems approach and a fast alternative method for extrapolating short-term experiments across climates and soils.
Dr. Saseendran S. Anapalli
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- Cropping system model
- Agricultural system model
- Water use efficiency
- Cropping system model
- Limited water irrigation
- Crop water requirements
- Irrigation efficiency