Cotton Irrigation Scheduling Using a Crop Growth Model and FAO-56 Methods: Field and Simulation Studies

Thorp, Kelly R.; Hunsaker, Douglas J.; Bronson, K. F.; Andrade-Sánchez, Pedro; Barnes, Edward M.

doi:10.13031/trans.12323

Cited by 62 publications

(43 citation statements)

References 39 publications

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“…This dataset was also used in a global sensitivity and uncertainty analysis of CERES-Maize yield, ET, and growth responses to input variability (DeJonge et al, 2012b). Thorp et al (2014Thorp et al ( , 2017 described the evaluation of CSM-CROPGRO-Cotton using data sets from seven cotton experiments conducted near Maricopa, Arizona (33.068° N, 111.971° W) in 1990Arizona (33.068° N, 111.971° W) in , 1991Arizona (33.068° N, 111.971° W) in , 1999Arizona (33.068° N, 111.971° W) in , 2002Arizona (33.068° N, 111.971° W) in , 2003Arizona (33.068° N, 111.971° W) in , 2014Arizona (33.068° N, 111.971° W) in , and 2015. The objectives of the field experiments were variable but tested cotton responses to full and limited irrigation and fertilizer management, planting density, and free-air carbon dioxide enrichment (FACE).…”

Section: Datasetsmentioning

confidence: 99%

“…Both equation 5 and equation 6 are similar in form to equation 97 in FAO-56, as well as equations 10-25a and 10-28 in ASCE Manual 70 (Jensen and Allen, 2016). The approach uses model-simulated LAI to calculate the K cb , which means K cb is more dynamic and responsive to cultivar, weather, and soil variability, as simulated by the model (Thorp et al, 2017). This is in contrast to the fixed trapezoidal crop coefficient curves recommended by FAO-56.…”

Section: Updates To Dssat-csm Et Modulementioning

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: Datasetsmentioning

confidence: 99%

Section: Updates To Dssat-csm Et Modulementioning

confidence: 99%

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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“…Five articles in the collection discuss applications of crop models for irrigation scheduling or irrigation water management: Linker and Kisekka (2017), Thorp et al (2017), Liu et al (2017), Fang et al (2017a), and Tang et al (2018). Irrigation scheduling can be implemented based on monitoring soil and plant water status or by using the ET-based approach that involves scaling the potential or reference ET using a crop coefficient.…”

Section: Application Of Crop Models For Irrigation Schedulingmentioning

confidence: 99%

“…Very little work is documented in the literature on using crop simulation models for real-time tactical in-season irrigation scheduling. Some of the newer research on the use of crop simulation models for tactical inseason irrigation scheduling was reported by Thorp et al (2017) and Linker and Kisekka (2017). Thorp et al (2017) compared the CSM-CROPGROCotton model (with recently updated ET routines; DeJonge and ) to a well-tested FAO-56 irrigation scheduling spreadsheet by: (1) using both tools to schedule cotton irrigation during 2014 and 2015 in central Arizona, and (2) conducting a post hoc simulation study to further compare the outputs from these tools.…”

Section: Application Of Crop Models For Irrigation Schedulingmentioning

confidence: 99%

“…Through field verification and thorough post hoc data analysis, the results demonstrated that the CSM-CROPGRO-Cotton model with updated FAO-56 ET routines could match or exceed the accuracy and capability of an FAO-56 spreadsheet tool for cotton water use calculations and irrigation scheduling. Thorp et al (2017) noted that their study exhibited real-world application of crop models for in situ water management, a task rarely demonstrated in practice.…”

Section: Application Of Crop Models For Irrigation Schedulingmentioning

confidence: 99%

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