Single and dual crop coefficients and crop evapotranspiration for wheat and maize in a semi-arid region

Shahrokhnia, Mohammad Hossein; Sepaskhah, Ali Reza

doi:10.1007/s00704-013-0848-6

Cited by 63 publications

(21 citation statements)

References 36 publications

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“…Several reasons may explain the lower K C,ini for the FI treatment (0.52 and 0.66 in 2010 and 2011, respectively) than predicted by FAO-56 (0.65 and0.72 in 2010 and2011, respectively). During the initial and development periods, K C,ini is a function of the irrigation interval and the potential evaporation rate and is highly influenced by different irrigation strategies (Allen et al, 1998;Shahrokhnia and Sepaskhah, 2013). Thus, the field management adapted in this study may not be the same as, or even similar to, the normal FAO-56 management.…”

Section: Adjusted K Cmentioning

confidence: 72%

“…In addition, Fig. 6 shows that despite lower ET 0 in 2011, an increase of about 3.5% and 13.3% in ET c occurred under the FI treatment during the initial and developing stages, respectively, which is due to the fact that ET c is more influenced by different irrigation strategies during the vegetation growth stage than by climatic variables (Allen et al, 1998;Shahrokhnia and Sepaskhah, 2013).…”

Section: Temporal Soil-water-plant Interactionsmentioning

confidence: 99%

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A field-modeling study for assessing temporal variations of soil-water-crop interactions under water-saving irrigation strategies

Karandish

Šimůnek

2016

Agricultural Water Management

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a b s t r a c tSimulation models are useful tools that may help to improve our understanding of soil-water-plant interactions under innovative water-saving irrigation strategies. In this study, the HYDRUS-2D model was applied to evaluate the influence of deficit irrigation (DI) and partial root-zone drying (PRD) on maize water extractions during two cropping cycles of 2010 and 2011. The model was calibrated and validated using measured soil water content data (expressed as equivalent water depths). Reliable estimates of soil water content were provided by HYDRUS-2D, with root mean square error and mean bias error values of 2.3-5.11 and 1.63-4.93 mm, respectively. Root water uptake and maize grain yields were reduced by 13.2-28.8% and 13.6-52.8%, respectively, under different water-saving irrigation treatments compared to full irrigation. However, different root and water repartitions in the PRD treatment with a 25% reduction in the irrigation depth (PRD 75 ) improved soil water utilization and consequently, crop growth. Increased root water uptake (2.2-4.4 times higher than in other treatments) from the 60-100 cm soil depth in the PRD 75 treatment maintained a favorable daily evapotranspiration rate, resulting in no significant reduction in maize grain yield compared to full irrigation. Consequently, a 15.7-85% increase in water use efficiency for maize cultivation under PRD 75 ensured 25% water savings without threatening food security in the study area. It can be concluded that HYDRUS-2D can be successfully used to optimize water management under local water-stress conditions.

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Section: Adjusted K Cmentioning

confidence: 72%

Section: Temporal Soil-water-plant Interactionsmentioning

confidence: 99%

A field-modeling study for assessing temporal variations of soil-water-crop interactions under water-saving irrigation strategies

Karandish

Šimůnek

2016

Agricultural Water Management

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“…7). Note that this agreement is particularly good for the initial stage (DOY < 90), when bare soil and low vegetation coverage conditions are traditionally a challenge for both energy and water balance models Shahrokhnia and Sepaskhah 2013).…”

Section: Modeled Wheat Etmentioning

confidence: 92%

“…Sun et al (2006) reported 30-35 % for non-stressed to mild-stressed winter wheat, and Sadras and Rodriguez (2010) reported 22-34 % in Australia. Using microlysimeters, Shahrokhnia and Sepaskhah (2013) estimated that soil evaporation was about 30 % of the total wheat ET. A lower ratio of 19 % was obtained for the seasonal E/ET of a winter wheat with a drip irrigation system (Gao et al 2014).…”

Section: Evaporation/transpiration Partitioningmentioning

confidence: 99%

“…Gao et al (2014) calibrated this model in the same Chinese region with data from a winter wheat but with subsurface drip irrigation. Shahrokhnia and Sepaskhah (2013) used weighing lysimeters to evaluate and calibrate the values proposed by FAO for the daily crop coefficient and ET of wheat in the Fars province, Iran. Yang et al (2014) used a complementary relationship model coupled with an evaporative fraction (EF) approach to estimating ET of winter wheat in the NCP, based on meteorological data and a high-resolution IKONOS image.…”

Section: Introductionmentioning

confidence: 99%

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Modeling evapotranspiration in a spring wheat from thermal radiometry: crop coefficients and E/T partitioning

et al. 2015

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ET values, respectively, whereas an underestimation no >4 % resulted from the entire campaign. Partition between soil and canopy components yielded a ratio of evaporation (E) to transpiration (T) of 36-64 %, respectively, for the total growing season. Dual crop coefficients were also calculated and compared to those proposed by FAO-56. Although separate E and T measurements were not available, similar results between the STSEB and FAO-56 models demonstrate the utility of the STSEB for investigating management strategies aimed at increasing crop water use efficiency.

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Determining optimal values of performance indicators in different scenarios of on‐farm water management*

Moghimi

Niknejad

Mahmoudi

et al. 2021

Irrigation and Drainage

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In order to save water in the agricultural sector, the efficient use of irrigation water should be considered seriously by using appropriate performance indicators. In this research, the impact of on-farm water management factors (irrigation application efficiency [E a ] and water reduction fraction [WRF]) on the performance indicators net income (NI) and farm irrigation water productivity (WP) were assessed in different deficit irrigation scheduling scenarios (consists of deliberately applying irrigation depths smaller than those required), using response surface methodology. Pareto charts of the standardized effects showed that the factors of WRF and E a were the most important predictors influencing NI and WP, respectively. Considering multiple response predictions for simultaneous optimization of NI and WP, the maximum optimal values of NI obtained were 62.1 million rials (WP = 1.12, WRF = 0.33), 113.2 (WP = 0.76, WRF = 0.02), 32.2 (WP = 0.8, WRF = 0.19), 65.5 (WP = 0.66, WRF = 0.17), and 84.0 (WP = 0.34, WRF = 0.48) for winter wheat, rapeseed, barley, maize, and cotton, respectively. These values were obtained in E a = 90%, method 2 of deficit irrigation scheduling and sprinkler irrigation system. Using different deficit irrigation scheduling scenarios and irrigation systems resulted in on-farm water management packages for different conditions of water availability.

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Single and dual crop coefficients and crop evapotranspiration for wheat and maize in a semi-arid region

Cited by 63 publications

References 36 publications

A field-modeling study for assessing temporal variations of soil-water-crop interactions under water-saving irrigation strategies

A field-modeling study for assessing temporal variations of soil-water-crop interactions under water-saving irrigation strategies

Modeling evapotranspiration in a spring wheat from thermal radiometry: crop coefficients and E/T partitioning

Determining optimal values of performance indicators in different scenarios of on‐farm water management*

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