Crop Modeling Applications in Agricultural Water Management

Kisekka, Isaya; DeJonge, Kendall C.; Ma, Liwang; Paz, Joel O.; Douglas-Mankin, Kyle R.

doi:10.13031/trans.12693

Cited by 9 publications

(10 citation statements)

References 21 publications

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“…First irrigation applications should be made to minimize water losses, while last irrigation should ensure no significant water deficits and overall yield losses. Starting and termination timing for irrigation may be facilitated by using crop simulation models and soil water monitoring, possibly using soil moisture sensors [3].…”

Section: High Plains Of the Ogallala Aquifer Regionmentioning

confidence: 99%

“…In addition, irrigation has consistently been the largest single consumer of water in the US, accounting for 80-90% of total consumptive water use [2]. However, pressure on available water resources has increased because of population growth, changing climate, and excessive depletion of water resources, particularly groundwater [3]. Resultantly, water has become the major limiting factor for crop production [3,4].…”

Section: Introductionmentioning

confidence: 99%

“…However, pressure on available water resources has increased because of population growth, changing climate, and excessive depletion of water resources, particularly groundwater [3]. Resultantly, water has become the major limiting factor for crop production [3,4]. Major agricultural regions in the US, such as the Ogallala Aquifer region of the High Plains and the Arkansas Delta, are facing groundwater problems.…”

Section: Introductionmentioning

confidence: 99%

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Groundwater-Based Irrigation in the US – Challenges and Progress

Masasi¹

2021

Preprint

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Even though groundwater-based irrigation has increased agricultural productivity and economic activity in the United States (US), the current rate of groundwater withdrawals from major aquifers could significantly affect the sustainability of agricultural production systems in the near future. In the major agricultural regions, producers are now facing challenges to irrigate to meet full crop water needs. There is an increasing need to strategize irrigation management under various climatic and environmental conditions to optimize water use in agriculture while optimizing crop yields. This study reviews some of the major challenges facing irrigated agriculture in the US and the potential measures to ensure the sustainability of groundwater-based irrigation. Identified challenges included diminishing quantity and quality of groundwater resources, frequent droughts, low adoption rates of precision irrigation technologies, and rising energy requirements for irrigation abstractions. Irrigation efficiency improvements, shifting to high water use efficiency crops, wastewater reuse, groundwater monitoring, availing incentives, and policy changes, were identified as promising water management strategies to ensure irrigation sustainability. The success of these strategies will depend on the uptake and adoption by the producers in the affected agricultural regions.

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Section: High Plains Of the Ogallala Aquifer Regionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Groundwater-Based Irrigation in the US – Challenges and Progress

Masasi¹

2021

Preprint

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“…Fourteen articles from the ASABE 2016 Annual International Meeting comprised the Crop Modeling and Decision Support for Optimizing Use of Limited Water collection, as introduced and reviewed by Kisekka et al (2017) and highlighted here. One study developed a new dual-crop-coefficient approach to simulate the effects of both soil water and basal crop response on ET (DeJonge and , and a second study successfully adapted the improved model for real-world, in situ water management (Thorp et al, 2017).…”

Section: Crop Modelingmentioning

confidence: 99%

“…In 2017, 76 articles were published in Transactions of the ASABE and 22 in Applied Engineering in Agriculture by 379 authors across all topic areas of the NRES community. Three special collections were published: 6 articles in International Watershed Technology III (Tollner and Douglas-Mankin, 2017), 15 articles in Crop Modeling and Decision Support for Optimizing Use of Limited Water (Kisekka et al, 2017), and 14 articles in Advances in Drainage (Strock et al, 2018; 4 articles published in Applied Engineering in Agriculture, 2017, and reviewed herein, and the remaining 10 articles published in Transactions of the ASABE, 2018). Other focal research areas included 14 articles on livestock waste management, 13 on irrigated agricultural systems, 8 on climate change effects on land and water resources, and 16 on various aspects of soil erosion measurement and modeling.…”

mentioning

confidence: 99%

Current Research in Land, Water, and Agroecosystems: ASABE Journals 2017 Year in Review

Douglas-Mankin¹

2018

Transactions of the ASABE

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Abstract. This article highlights current research into land and water resources, agroecosystems, and agricultural production systems published by the Natural Resources and Environmental Systems (NRES) community of ASABE journals ( and ) in 2017. Context, scope, and key results of the published articles are reviewed and perhaps more importantly areas for increased research attention are recommended. This article describes experimental and modeling advances in hydrology, agroecosystems, climate change effects, soil erosion, agricultural irrigation, agricultural drainage, forest resource management, livestock systems, natural treatment systems, international water issues, and water quality topic areas. Three special collections were published (International Watershed Technology, Crop Modeling and Decision Support for Optimizing Use of Limited Water, and Advances in Drainage). Other focal areas included 14 articles relating to livestock waste management, 13 concerning irrigated agricultural systems, 8 addressing climate change effects on land, water, and agroecosystems, and 16 on various aspects of soil erosion measurement and modeling. Building on the articles reviewed from 2017 and toward a vision of future agroecosystems research, the NRES community of ASABE journals strives to expand its role in making new knowledge accessible to sustain agricultural and natural systems in a changing world. With this goal in mind, recommendations for future research needs are proposed with an emphasis on increased application of remote sensing data to agroecosystems research, improved assessment of agroecosystem resiliency and vulnerability to land and climate change, development of integrated models of agroecosystem services, meeting stubborn water management challenges in agricultural production systems, and focusing on publishing fully reproducible model results. Keywords: Agriculture, Climate change, Composting, Crop models, Crop water use, Crop yield, Drainage, Drought, Environment, Field experimentation, Food, Forest, Greenhouse gas emissions, Hydrologic modeling, Hydrology, Irrigation, Livestock, Manure management, Mode

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Implications of uncertainty in inflow forecasting on reservoir operation for irrigation

Kasiviswanathan

Sudheer

Soundharajan

et al. 2020

Paddy Water Environ

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Accurate and reliable forecasting of reservoir inflows is crucial for efficient reservoir operation to decide the quantity of the water to be released for various purposes. In this paper, an artificial neural network (ANN) model has been developed to forecast the weekly reservoir inflows along with its uncertainty, which was quantified through accounting the model's input and parameter uncertainties. Further, to investigate how the effect of uncertainty is translated in the process of decision making, an integrated simulation-optimization framework that consists of (i) inflow forecasting model; (ii) reservoir operation model; and (iii) crop simulation model was developed to assess the impacts of uncertainty in forecasted inflow on the irrigation scheduling and total crop yield from the irrigation system. A genetic algorithm was used to derive the optimal reservoir releases for irrigation and the area of irrigation. The proposed modeling framework has been demonstrated through a case example, Chittar river basin, India. The upper, lower, and mean of forecasted inflow from the ANN model were used to arrive at the prediction interval of the depth of irrigation, total crop yield, and area of irrigation. From the analysis, the ANN model forecast error of ± 69% to the mean inflow was estimated. However, the error to mean value of simulation for total irrigation, total yield, and area of irrigation was ± 13.3%, ± 6.5%, and ± 4.6%, respectively. The optimizer mainly contributed to the reduction in the errors (i.e., maximizing the total production with the optimal water releases from the reservoir irrespective of inflow to the reservoir). The results from this study suggested that the information on the uncertainty quantification helps in better understanding the reliability of the systems and for effective decision making.

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Crop Modeling Applications in Agricultural Water Management

Abstract: ABSTRACT. This article introduces the fourteen articles that comprise the "Crop Modeling and Decision

Cited by 9 publications

References 21 publications

Groundwater-Based Irrigation in the US – Challenges and Progress

Groundwater-Based Irrigation in the US – Challenges and Progress

Current Research in Land, Water, and Agroecosystems: ASABE Journals 2017 Year in Review

Implications of uncertainty in inflow forecasting on reservoir operation for irrigation

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