Modeling of Full and Limited Irrigation Scenarios for Corn in a Semiarid Environment

DeJonge, Kendall C.; Andales, Allan A.; Ascough, J. C.; Hansen, Neil C.

doi:10.13031/2013.36451

Cited by 36 publications

(36 citation statements)

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“…In a recent CERES-Maize study in semi-arid Colorado, the DSSAT-CSM ET pm -K cs method consistently predicted higher ET c than observed (DeJonge et al, 2011). These researchers later performed a sensitivity analysis of EORATIO (eq.…”

Section: Recent Studies Of Dssat Et Modulementioning

confidence: 99%

“…Complete experimental details can be found in DeJonge et al (2011DeJonge et al ( , 2012a. Two irrigation treatments were applied to continuous maize during the 2006-2010 growing seasons: full irrigation (ET requirement met by irrigation throughout the season) and limited irrigation (no irrigation before the V12 growth stage unless necessary for emergence, and then full irrigation afterwards).…”

Section: Datasetsmentioning

confidence: 99%

“…Cotton simulations used the Arizona data sets described earlier, including seven cotton seasons (1990-1991, 1999, 2002-2003, 2014-2015). Simulations were conducted using weather files and calibration results from several prior studies for the maize data set (DeJonge et al, 2011(DeJonge et al, , 2012a(DeJonge et al, , 2012b and cotton data sets (Thorp et al, 2014(Thorp et al, , 2017.…”

Section: Simulationsmentioning

confidence: 99%

“…Comparatively, it is easier to program an algorithm from existing standardized equations than to (1) program a completely novel ET algorithm without error or (2) debug an existing ET algorithm that is misbehaving due to syntactical or conceptual errors. In each of these cases, coding improvements can be facilitated by comparisons to the benchmark ET standard.The motivation for the present study arose from the authors' independent work to use the Decision Support System for Agrotechnology Transfer (DSSAT) cropping system model (CSM) for irrigation management applications in semi-arid to arid environments of the western U.S.: maize in Colorado (DeJonge et al, 2011(DeJonge et al, , 2012a and wheat and cotton in Arizona (Thorp et al, 2010(Thorp et al, , 2014. Those studies highlighted issues with the ET methods of DSSAT-CSM, which the authors sought to remedy by bringing the model code into agreement with accepted standardized ET methods.…”

mentioning

confidence: 99%

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Implementing Standardized Reference Evapotranspiration and Dual Crop Coefficient Approach in the DSSAT Cropping System Model

DeJonge¹,

Thorp²

2017

Transactions of the ASABE

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ABSTRACT. While methods for estimating reference evapotranspiration (ET o or ET r ) and subsequent crop ET (ET c ) via crop coefficient (K c ) and dual crop coefficient (K cb, DSSAT, Evaporation, Evapotranspiration, Maize, Reference crop ET, Standardization, Transpiration. vapotranspiration (ET), the combined result of soil surface evaporation and plant transpiration, is an important component of agricultural water management and landscape hydrology, particularly in the field of irrigation management. Adequate quantification of ET is imperative as demand for freshwater resources increases. Several U.S. states such as Colorado use quantification of ET as a "consumptive use" in water rights transfer legal cases. Many past studies have shown a direct physiological relationship between crop yield and ET (Doorenbos and Kassam, 1979;Hunsaker et al., 2015;Trout and DeJonge, 2017) and particularly yield and transpiration (Paredes et al., 2014;Steduto et al., 2012). Furthermore, accurate estimation of ET partitioning into evaporation (E) and transpiration (T) is paramount in irrigated and water-limited systems (Jensen and Allen, 2016;Kool et al., 2014;Pereira et al., 2015;Phogat et al., 2016). Ideally, these subcomponents of ET (i.e., E and T) should be evaluated independently rather than as a residual of each other (Kool et al., 2014). The Appendix reviews recent institutionally supported efforts to standardize procedures for ET quantification on several scales, which should be well known material for ET experts but is made available for readers who are unfamiliar with the subject. Full details of the FAO-56 dual crop coefficient methodology are available in FAO Irrigation and Drainage Paper No. 56 Mention of company or trade names is for description only and does not imply endorsement by the USDA. The USDA is an equal opportunity provider and employer.The standards were developed to establish benchmark ET equations, which represent the current state of the art in estimating ET.Over many decades, researchers have also developed complex cropping system models, which aim to comprehensively simulate the hydraulic processes, nutrient transformation and transport processes, and crop growth and development processes that occur in a cropping system. Such models have wide applicability for crop management, yield gap analysis, crop improvement, yield forecasting, synthesis of agronomic research, and assessment of policy (Boote et al., 1996). Because ET is often a large component of the water balance, simulation of the ET process is central to the calculations of these models, and accurate calculations of crop growth and yield depend on accurate ET calculations. However, the ET methods implemented among different models are often variable, and many do not incorporate the published ET standards as a simulation option. Generally, programming updates to the ET algorithms in the models have not kept pace with the development of new ET standards. Furthermore, preliminary results from a recent crop model intercomparison study demo...

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Section: Recent Studies Of Dssat Et Modulementioning

confidence: 99%

Section: Datasetsmentioning

confidence: 99%

Section: Simulationsmentioning

confidence: 99%

mentioning

confidence: 99%

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Implementing Standardized Reference Evapotranspiration and Dual Crop Coefficient Approach in the DSSAT Cropping System Model

DeJonge¹,

Thorp²

2017

Transactions of the ASABE

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“…The studies summarized in this collection demonstrate how crop simulation models can be a useful tool for implementing tactical irrigation scheduling and for providing feedback on how irrigation scheduling decisions might impact crop yield. Most of the prior studies on optimizing irrigation scheduling using crop simulation models focused on retrospective evaluation of irrigation scheduling options based on experimental data and long-term weather data (Saseendran et al, 2008;DeJonge et al, 2011;Kisekka et al, 2016). Very little work is documented in the literature on using crop simulation models for real-time tactical in-season irrigation scheduling.…”

Section: Application Of Crop Models For Irrigation Schedulingmentioning

confidence: 99%

Crop Modeling Applications in Agricultural Water Management

Kisekka¹,

DeJonge²,

Ma³

et al. 2017

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The apples and oranges of reference and potential evapotranspiration: Implications for agroecosystem models

DeJonge

Thorp

Marek

2020

Agricultural & Env Letters

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Although standardized evapotranspiration (ET) methods have been available for decades, they are commonly misunderstood, miscommunicated, and misused, especially within the agroecosystem modeling community. Some models misapply or misname standardized ET methods unbeknownst to users, and there is confusion in communication between applied ET practitioners and agroecosystem modelers. By highlighting some of these issues, we demonstrate and suggest the need for improved and consistent communication and application of standardized ET methodology.

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Modeling of Full and Limited Irrigation Scenarios for Corn in a Semiarid Environment

Cited by 36 publications

References 0 publications

Implementing Standardized Reference Evapotranspiration and Dual Crop Coefficient Approach in the DSSAT Cropping System Model

Implementing Standardized Reference Evapotranspiration and Dual Crop Coefficient Approach in the DSSAT Cropping System Model

Crop Modeling Applications in Agricultural Water Management

The apples and oranges of reference and potential evapotranspiration: Implications for agroecosystem models

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