Standard single and basal crop coefficients for field crops. Updates and advances to the FAO56 crop water requirements method

ReviewThis study reviews the abundant research on FAO56 crop coefficients, published following introduction of the FAO56 paper in 1998. The primary goal was to evaluate, update, and consolidate the mid-season and end-season single (Kc) and basal (Kcb) crop coefficients, tabulated for many field crops in FAO56. The review found that the prevalent approach for estimating crop evapotranspiration (ETc) is the FAO56 Kc-ETo approach, i.e., the product of the Kc and reference evapotranspiration (ETo). The FAO56 Kc-ETo approach requires use of the FAO56 PM-ETo grass reference equation with appropriate crop-specific Kc and/or Kcb. Reviewed research provided various approaches to determine Kc and Kcb and used a variety of actual crop ET (ETc act) measurements. Significant attention was placed on accessing the accuracy of the field measurements and models used in these studies. Accuracy requirements, upper limits for Kc values, and related causal errors are discussed. Conceptual approaches relative to Kc transferability requirements are provided with focus on standard crop conditions and use of the FAO56 segmented Kc curve. Papers selected to update Kc∕Kcb used the FAO56 PM-ETo, provided accurate measurements to determine and partition ETc act, and satisfied transferability requirements. Selected observed Kc and Kcb values were converted to standard, sub-humid climate as adopted in FAO56. Observed values, with respect to tabulated FAO56 Kc and Kcb, were used in consolidating updated values for crops within general categories of grain legumes, fiber crops, oil crops, sugar crops, small grain cereals, maize and sorghum, and rice. Ancillary data, e.g., maximum root depth and crop height, were also collected from selected literature and tabulated. Results showed good agreement between updated and original tabulated FAO56 Kc and Kcb, confirming the reliability of the FAO56 values. This indicates change in the Kc (ETc/ETo ratio) of crops has not occurred due to climate change during the past ≈sixty years. New Kc∕Kcb data for crops, not included in FAO56, are also now presented for several oil crops and pseudocereals. The approach adopted for rice differs from FAO56 because consideration was given to the numerous rice water management practices currently used and, thus, Kc∕Kcb values for the initial season of rice were also presented. The review also observed that many research papers did not satisfy the adopted requirements in terms of ETo method and/or the accuracy of ETc act determinations and, therefore, could not be used. Thus, emphasis is placed on adopting improved accuracy and quality control in future research aimed at determining Kc data comparable to presented values. The transferability of standard Kc and Kcb has been assured for the values tabulated herein. Improved future applications of the FAO56 Kc-ETo method should consider remote sensing observations when available, particularly in defining crop growth stages at given locationsinfo:eu-repo/semantics/publishedVersio

Standard single and basal crop coefficients for vegetable crops, an update of FAO56 crop water requirements approach

ReviewMany research papers on crop water requirements of vegetables have been produced since the publication of the FAO56 guidelines in 1998. A review of this literature has shown that determination of crop evapotranspiration (ETc) using the Kc-ETo approach, i.e., the product of the specific crop coefficient (Kc) by the reference evapotranspiration (ETo), is the most widely-used method for irrigation water management. Consequently, a review was made to provide updated information on the Kc values for these crops. The reviewed research provided various approaches to determine Kc in its single and dual versions. With this purpose, actual crop ET (ETc act ) was determined with lysimeters, or by performing the soil water balance using measured soil water content and computational models, or by using Bowen ratio energy balance and eddy covariance measurements, or by using remote sensing applications. When determining the basal Kc(Kcb), the partitioning of ETc act was evaluated using different approaches, though mainly using the FAO56 dual Kc method. Since the accuracy of experimentally-determined Kc and Kcb values depends upon the procedure used to compute ETo, as well as accuracy in determining and partitioning of ETc act , the adequacy of the measurement requirements for each approach was carefully reviewed. The article discusses in detail the conceptual methodology relative to crop coefficients and the requirements for transferability, namely distinguishing between actual and standard Kc and the need to appropriately use the FAO segmented Kc curve. Hence, the research papers selected to update and consolidate mid-season and end-season standard Kc and Kcb were those that computed ETo with the FAO56 PM-ETo equation; and that also used accurate approaches to determine and partition ETc act for pristine, non-stressed cropping conditions. Under these experimental conditions, the reported Kc and Kcb values relative to the mid- and end-season could be considered as transferable standard Kc and/or Kcb values after adjustment to the standard climate adopted in FAO56, where average RHmin = 45% and average u2 = 2 m s−1 over the mid-season and late season growth stages. For each vegetable crop, these standard values were then compared with the FAO56 tabulated Kc and Kcb values to define the updated values tabulated in the current article. In addition, reported ancillary data, such as maximum root zone depth, maximum crop height, and soil water depletion fraction for no water stress, were also collected from selected papers and tabulated in comparison with those given for the crops in FAO56. The presentation of updated crop coefficient results is performed by grouping the vegetables differently than in FAO56, where distinction is made according to their edible parts: (1) roots, tubers, bulbs and stem vegetables; (2) leaves and flowers vegetables; (3) fruit and pod vegetables; and (4) herbs, spices and special crops, with most of them being newly introduced herein. The updated Kc and Kcb of vegetable crops based on this review are generally coincident with those in FAO56, although slightly lower for several crops. Close agreement of selected paper values with FAO56 values provides good evidence of their quality and also confirms the reliability of the original FAO56 tabulated values. It is noteworthy that many papers surveyed from the past 20 years did not satisfy the adopted Kc requirements in terms of ETo computation method nor provide solid evidence of measurement accuracy for ETc act . It is recommended that future Kc research of vegetables should sufficiently address these issues with objectives broadened to provide more transferable data to other regions. Also, new data on vegetable Kc and Kcb values should be carefully scrutinized in the context of these results and those provided in FAO56info:eu-repo/semantics/publishedVersio

Error analysis of bulk density measurements for neutron moisture gauge calibration

Six bulk density sampling methods were evaluated for use in neutron gauge calibration. All six methods provided estimates of bulk density which were generally within 5% of bulk density profiles measured using a gamma probe. Standard errors of estimate ranged from 3 to 7 %. When used with care, downhole, coring, and drive samplers can be used to successfully measure soil moisture and bulk density profiles for use in neutron probe calibration

Soil bulk density sampling for neutron gauge calibration

The ASCE Task Committee on Neutron Gauge Calibration met in Logan, Utah in July 1992 to investigate the various methods of soil sampling, installation of access tubes, effect of various parameters on gauge readings, methods of developing field calibration curves and comparison of neutron gauge characteristics. Details of the overall objectives of the study are covered by Stone (1993, this volume). This paper discusses the soil sampling methods and presents a comparative result based on bulk density, time required for sampling and cost of sampling equipment Other papers developed from this study describe the soils, the three sites investigated and the problems related to the tube installation process

High guayule rubber production with subsurface drip irrigation in the US desert Southwest

Guayule is being produced for natural rubber in US desert areas, where irrigation requirements are high. Improved irrigation practices and methods are required to increase guayule yields and reduce its water use. Presently, there is no information available on guayule produced using subsurface drip irrigation (SDI). Therefore, we conducted an SDI guayule field study in 2012-2015 in Maricopa, Arizona, US. The objectives were to evaluate guayule dry biomass (DB), rubber yield (RY), and crop evapotranspiration (ETc) responses to water application level, and to compare these results to previously reported guayule irrigation studies. Guayule seedlings were transplanted in the field in October 2012 at 0.35-m spacing, in 100-m long rows, spaced 1.02 m apart. The field had 15, 8-row wide plots (5 irrigation treatments x 3 replicates). Irrigation treatments were imposed in a randomized complete block design starting in May 2013. Irrigation scheduling was based on the measured soil water depletion percentage (SWDp) of a fully-irrigated treatment, defined as 100% ETc replacement, and maintained at similar or equal to 20-35% SWDp . The other treatments received 25%, 50%, 75%, and 125% of irrigation applied to the 100% treatment on each day of irrigation. Destructive samples for dry biomass, rubber, and resin contents were periodically taken from each plot between February and November of each year until the guayule was bulk-harvested in March 2015. Results indicated ETc, DB, and RY increased with total water applied (irrigation + rain), which varied between treatments from 2080 to 4900 mm for the 29-month growing season. Final dry biomass and rubber yields of 61.2 Mg/ha and 3430 kg/ha, respectively, were achieved with the highest irrigation treatment level (125%) and these yields were significantly higher than those under all other irrigation levels. All SDI irrigation treatments except for the lowest 25% level had rubber yields from 24 to 200% greater than the maximum RY achieved under a companion surface irrigation study conducted simultaneously in Maricopa.Biomass Research and Development Initiative Competitive Grant [2012-10006-19391 OH]24 month embargo; published online: 24 April 2019This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

Error analysis of bulk density measurements for neutron moisture gauge calibration

Six bulk density sampling methods were evaluated for use in neutron gauge calibration. All six methods provided estimates of bulk density which were generally within 5% of bulk density profiles measured using a gamma probe. Standard errors of estimate ranged from 3 to 7 %. When used with care, downhole, coring, and drive samplers can be used to successfully measure soil moisture and bulk density profiles for use in neutron probe calibration

Soil bulk density sampling for neutron gauge calibration

The ASCE Task Committee on Neutron Gauge Calibration met in Logan, Utah in July 1992 to investigate the various methods of soil sampling, installation of access tubes, effect of various parameters on gauge readings, methods of developing field calibration curves and comparison of neutron gauge characteristics. Details of the overall objectives of the study are covered by Stone (1993, this volume). This paper discusses the soil sampling methods and presents a comparative result based on bulk density, time required for sampling and cost of sampling equipment Other papers developed from this study describe the soils, the three sites investigated and the problems related to the tube installation process

Using ESAP software for predicting the spatial distributions of NDVI and transpiration of cotton

Observations of the normalized difference vegetation index (NDVI) from aerial imagery can be used to infer the spatial variability of basal crop coefficients (Kcb), which in turn provide a means to estimate variable crop water use within irrigated fields. However, monitoring spatial Kcb at sufficient temporal resolution using only aerial acquisitions would likely not be cost-effective for growers. In this study, we evaluated a model-based sampling approach, ESAP (ECe Sampling, Assessment, and Prediction), aimed at reducing the number of seasonal aerial images needed for reliable Kcb monitoring. Aerial imagery of NDVI was acquired over an experimental cotton field having two treatments of irrigation scheduling, three plant density levels, and two N levels. During both 2002 and 2003, ESAP software used input imagery of NDVI on three separate dates to select three ground sampling designs having 6, 12, and 20 sampling locations. On three subsequent dates during both the years, NDVI data obtained at the design locations were then used to predict the spatial distribution of NDVI for the entire field. Regression of predicted versus imagery observed NDVI resulted in r2 values from 0.48 to 0.75 over the six dates, where higher r2 values occurred for predictions made near full cotton cover than those made at partial cover. Prediction results for NDVI were generally similar for all three sample designs. Cumulative transpiration (Tr) for periods from 14 to 28 days was calculated for treatment plots using Kcb values estimated from NDVI. Estimated cumulative Tr using either observed NDVI from imagery or predicted NDVI from ESAP procedures compared favorably with measured cumulative Tr determined from soil water balance measurements for each treatment plot. Except during late season cotton senescence, errors in estimated cumulative Tr were between 3.0% and 7.3% using observed NDVI, whereas they were they were between 3.4% and 8.8% using ESAP-predicted NDVI with the 12 sample design. Thus, employing a few seasonal aerial acquisitions made in conjunction with NDVI measurements at 20 or less ground locations optimally determined using ESAP, could provide a cost-effective method for reliably estimating the spatial distribution of crop water use, thereby improving cotton irrigation scheduling and management.Remote sensing Crop coefficients Irrigation management Crop water use