Evaluation of the Fao‐56 Methodology For Estimating Maize Water Requirements Under Deficit And Full Irrigation Regimes In Semiarid Northeastern Colorado

Cid, Patricio; Taghvaeian, Saleh; Hansen, Neil C.

doi:10.1002/ird.2245

Cited by 9 publications

(5 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This CTS states e.g., for the region of Southern Moravia (hottest and driest part of CZ located in MGA) the following the CWR: winter wheat 240 mm, silage maize 310 mm, oilseed rape 240 mm and semi-early potatoes 200 mm. Although the FAO-56 method overvalues the CWR on average by 9% [41], the differences of the CWR found in our study, for wheat, potatoes and oilseed rape, were higher than 100 mm compared toČSN 75 0434 [27] leading to substantial WB deficits. This increase of the CWR can be explained both by climate change, i.e., an increase in ET 0 , and by an increase in yields due to increased fertilizer use for the cultivation of high-yielding varieties, i.e., an increase of Kc.…”

Section: Comparison To Previous Crop Water Requirements and Crop Yieldscontrasting

confidence: 51%

“…Since 1990s, the occurrence of the heat wave phenomenon has widely spread to other areas of CZ with a significant increase in Western Bohemia. Due to the anticipated lowered water resources for irrigation, the so-called deficit irrigation is to be considered, which forces plants to adapt to a lower amount of water during the concurrent WUE increase [41]. Djaman et al [42] stated that a limited irrigation (60-75% of full irrigation) is a viable practice for increasing crop water productivity of maize in South-central Nebraska.…”

Section: The Possibility Of Supplemental Irrigationmentioning

confidence: 99%

See 1 more Smart Citation

Long-Term Water Balance of Selected Field Crops in Different Agricultural Regions of the Czech Republic Using Fao-56 and Soil Hydrological Approaches

et al. 2019

View full text Add to dashboard Cite

Long-term water balance (WB) of four selected crops (winter wheat, oilseed rape, silage maize, semi-early potatoes) was determined at the field block scale in the Czech Republic for all agricultural growing areas (AGAs): maize-, beet-, potato- and mountain-AGAs for the 1981–2010 period. A novel approach for the calculation of WB was employed, which combined the FAO-56 method for crop water requirements (CWRs) with sources of available water from precipitation, soil, and groundwater. The computed WB was divided into four categories of soil water availability based on soil hydrolimits and crop features: Categories 1 and 2 with zero or mild occurrence of crop water stress; categories 3 and 4 with intermediate and severe occurrence of crop water stress. The winter crops were affected by water stress to a lesser extent (the area of categories 3 and 4: wheat 20.1%, oilseed rape 14.5%) as compared with spring crops (the area of categories 3 and 4: maize 39.6%, potatoes 41%). The highest water deficit was recorded for all crops in the maize-AGA due to low precipitation and high CWRs. Most available water was revealed to occur in the mountain-AGA. A strong need for the adoption of measures towards the optimization of water regimes on agricultural land was indicated. The present study shows a promising approach for evaluating and proposing changes of area of cultivated crops with the appropriate tillage and agricultural water management in terms of satisfactory crop water requirements.

show abstract

Section: Comparison To Previous Crop Water Requirements and Crop Yieldscontrasting

confidence: 51%

Section: The Possibility Of Supplemental Irrigationmentioning

confidence: 99%

Long-Term Water Balance of Selected Field Crops in Different Agricultural Regions of the Czech Republic Using Fao-56 and Soil Hydrological Approaches

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Therefore, the difference in the performance of the combination models may be related to the manner of wind function defined for them (Table 2). Several studies have reported the proper performance of the FAO56‐PM model (Cid et al, 2018; Dehghanisanij et al, 2004; Vaughan et al, 2007; Yoder et al, 2005). However, in some studies, other combination models have performed better than FAO56‐PM, which is consistent with the results obtained in this study.…”

Section: Resultsmentioning

confidence: 99%

“…The measured values were at different levels under full and deficit irrigation conditions. The results showed the good performance of the studied model but tended to overestimate ET (Cid et al, 2018). Based on previous works, ET c values in various plant species and soil textures are often different.…”

Section: Introductionmentioning

confidence: 94%

Comparative analysis of 15 major reference evapotranspiration models based on weighing lysimeter measurements for two different grass species grown in three soil textures

Ahmadi̇far

Delirhasannia

Sadraddini

2022

Irrigation and Drainage

View full text Add to dashboard Cite

In this study, 15 models in the combination, radiation, and temperature‐based groups were evaluated for three consecutive years (2017–2019) with lysimetric measurements in a semi‐arid region of Iran. To investigate the effects of reference plant species and soil textures on the amounts of reference evapotranspiration (ET0), two grass species including Festuca arundianacea Schreb. and Lolium perenne in the three soil textures sandy loam, clay, and silt loam were planted in the weighing lysimeters. ET0 was affected by soil texture and grass species (p < .01). The highest amount of ET0 occurred in the clay soil and Festuca grass. Comparison of the models' results with Lolium grass lysimetric data showed that the minimum and maximum root mean square error (RMSE) values 1.27 and 3.5 mm d−1 were obtained for the Kimberly‐Penman‐1996 (KP) and DeBruin‐Keijman (DK) models, respectively. Regarding the Festuca grass lysimetric data, the minimum RMSE (1.36 mm d−1) was obtained for the KP and the maximum RMSE (3.6 mm d−1) for the DK model. Group comparison of models showed that the combination models performed better than the other groups' models. The estimated ET0 values by the models had a better match with the measured data of Lolium grass than those of the Festuca grass.

show abstract

“…The latter called "the cultural coefficient" encompasses all the processes related to crop growth that are not explicitly represented by the model. This approach has been extensively assessed by comparison with in situ measurements [12,13], including over maize crop [14] and used for water management and irrigation scheduling purposes [15,16]. While an increased referenced-evaporative demand has already been projected at various horizons under different future scenarios [17], projecting the cultural coefficients under future climate conditions is still an open question.…”

Section: Introductionmentioning

confidence: 99%

Hydrological Functioning of Maize Crops in Southwest France Using Eddy Covariance Measurements and a Land Surface Model

Dare-Idowu

Jarlan

Ledantec

et al. 2021

Water

View full text Add to dashboard Cite

The primary objective of this study is to evaluate the representation of the energy budget for irrigated maize crops in soil–vegetation–atmosphere transfer (SVAT) models. To this end, a comparison between the original version of the interactions between the soil–biosphere–atmosphere (ISBA) model based on a single-surface energy balance and the new ISBA-multi-energy balance (ISBA-MEB) option was carried out. The second objective is to analyze the intra- and inter-seasonal variability of the crop water budget by implementing ISBA and ISBA-MEB over six irrigated maize seasons between 2008 and 2019 in Lamasquère, southwest France. Seasonal dynamics of the convective fluxes were properly reproduced by both models with R2 ranging between 0.66 and 0.80 (RMSE less than 59 W m−2) for the sensible heat flux and between 0.77 and 0.88 (RMSE less than 59 W m−2) for the latent heat flux. Statistical metrics also showed that over the six crop seasons, for the turbulent fluxes, ISBA-MEB was consistently in better agreement with the in situ measurements with RMSE 8–30% lower than ISBA, particularly when the canopy was heterogeneous. The ability of both models to partition the evapotranspiration (ET) term between soil evaporation and plant transpiration was also acceptable as transpiration predictions compared very well with the available sap flow measurements during the summer of 2015; (ISBA-MEB had slightly better statistics than ISBA with R2 of 0.91 and a RMSE value of 0.07 mm h−1). Finally, the results from the analysis of the inter-annual variability of the crop water budget can be summarized as follows: (1) The partitioning of the ET revealed a strong year-to-year variability with transpiration ranging between 40% and 67% of total ET, while soil evaporation was dominant in 2008 and 2010 due to the late and poor canopy development; (2) drainage losses are close to null because of an impervious layer at 60 cm depth; and (3) this very specific condition limited the inter-annual variability of irrigation scheduling as crops can always extract water that is stored in the root zone.

show abstract

Evaluation of the Fao‐56 Methodology For Estimating Maize Water Requirements Under Deficit And Full Irrigation Regimes In Semiarid Northeastern Colorado

Cited by 9 publications

References 34 publications

Long-Term Water Balance of Selected Field Crops in Different Agricultural Regions of the Czech Republic Using Fao-56 and Soil Hydrological Approaches

Long-Term Water Balance of Selected Field Crops in Different Agricultural Regions of the Czech Republic Using Fao-56 and Soil Hydrological Approaches

Comparative analysis of 15 major reference evapotranspiration models based on weighing lysimeter measurements for two different grass species grown in three soil textures

Hydrological Functioning of Maize Crops in Southwest France Using Eddy Covariance Measurements and a Land Surface Model

Contact Info

Product

Resources

About