Assessing the SIMDualKc model for estimating evapotranspiration of hot pepper grown in a solar greenhouse in Northwest China

Qiu, Rangjian; Du, Taisheng; Kang, Shaozhong; Chen, Renqiang; Wu, Laosheng

doi:10.1016/j.agsy.2015.05.001

Cited by 72 publications

(31 citation statements)

References 39 publications

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“…The model is appropriate to generate irrigation scheduling alternatives and to support farm irrigation scheduling. The model performance has been assessed relative to its capability to simulate soil evaporation and plant transpiration (e.g., [38,40,41]). The adequateness of the dual K c approach has been independently assessed [42,43].…”

Section: Modelingmentioning

confidence: 99%

Predicting Maize Transpiration, Water Use and Productivity for Developing Improved Supplemental Irrigation Schedules in Western Uruguay to Cope with Climate Variability

Giménez

Petillo

Paredes

et al. 2016

Water

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Abstract:Various maize irrigation treatments including full and deficit irrigation were used to calibrate and validate the soil water balance and irrigation scheduling model SIMDualKc at Paysandú, western Uruguay. The model adopts the dual crop coefficient approach to partition actual evapotranspiration (ET c act ) into actual transpiration (T c act ) and soil evaporation (E s ). Low errors of estimation were obtained for simulating soil water content (Root mean square errors (RMSE) ď 0.014 cm 3¨c m´3 with calibrated parameters, and RMSE ď 0.023 cm 3¨c m´3 with default parameters). The ratio E s /T c act ranged from 26% to 33% and E s /ET c act varied from 20% to 25%, with higher values when the crop was stressed offering less soil coverage. Due to rainfall regime, runoff and deep percolation were quite large. The Stewarts phasic model was tested and used to predict maize yield from T c act with acceptable errors, in the range of those reported in literature. Water productivity values were high, ranging 1.39 to 2.17 kg¨m´3 and 1.75 to 2.55 kg¨m´3 when considering total water use and crop ET, respectively. Using a 22-year climatic data series, rainfed maize was assessed with poor results for nearly 40% of the years. Differently, alternative supplemental irrigation schedules assessed for the dry and very dry years have shown good results, particularly for mild deficit irrigation. Overall, results show appropriateness for using SIMDualKc to support the irrigation practice.

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Section: Modelingmentioning

confidence: 99%

Predicting Maize Transpiration, Water Use and Productivity for Developing Improved Supplemental Irrigation Schedules in Western Uruguay to Cope with Climate Variability

Giménez

Petillo

Paredes

et al. 2016

Water

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“…The SIMDualKc model has been positively tested for actual transpiration using sap-flow measurements [40,41] and for soil evaporation using micro-lysimeters [42,43] including soybeans [26]. The SIMDualKc model computes crop evapotranspiration (ET c ) under standard/potential, non-limiting conditions as…”

Section: Modellingmentioning

confidence: 99%

Water Use and Yield of Soybean under Various Irrigation Regimes and Severe Water Stress. Application of AquaCrop and SIMDualKc Models

Giménez

Paredes

Pereira

2017

Water

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Data relative to two soybean seasons, several irrigation scheduling treatments, including moderate and severe deficit irrigation, and rain-fed cropping were used to parameterize and assess the performance of models AquaCrop and SIMDualKc, the latter combined with the Stewart's yield model. SIMDualKc applies the FAO56 dual crop coefficient approach for computing and partitioning evapotranspiration (ET) into actual crop transpiration (T c act ) and soil evaporation (E s ), while AquaCrop uses an approach that depends on the canopy cover curve. The calibration-validations of models were performed by comparing observed and predicted soil water content (SWC) and grain yield. SIMDualKc showed good accuracy for SWC estimations, with normalized root mean square error (NRMSE) ≤ 7.6%. AquaCrop was less accurate, with NRMSE ≤ 9.2%. Differences between models regarding the water balance terms were notable, and the ET partition revealed a trend for under-estimation of T c act by AquaCrop, mainly under severe water stress. Yield predictions with SIMDualKc-Stewart models produced NRMSE < 15% while predictions with AquaCrop resulted in NRMSE ≤ 23% due to under-estimation of T c act , particularly for water stressed treatments. Results show the appropriateness of SIMDualKc to support irrigation scheduling and assessing impacts on yield when combined with Stewart's model.

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“…The approach has been successfully tested using measurements of soil evaporation (Zhao et al, 2013;Wei et al, 2015) and sap-flow transpiration (Paç o et al, 2012(Paç o et al, , 2014. The FAO dual Kc approach has been tested for cereals by several researchers, namely using different model approaches (e.g., López-Urrea et al, 2009;Ding et al, 2013;Qiu et al, 2015). The model computes the soil water balance in the root zone at the end of each day as…”

Section: Soil Water Balance Model Simdualkc and Related Parameterizationmentioning

confidence: 99%

Assessing yield, water productivity and farm economic returns of malt barley as influenced by the sowing dates and supplemental irrigation

Paredes

Rodrigues

Cameira

et al. 2017

Agricultural Water Management

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Assessing the SIMDualKc model for estimating evapotranspiration of hot pepper grown in a solar greenhouse in Northwest China

Cited by 72 publications

References 39 publications

Predicting Maize Transpiration, Water Use and Productivity for Developing Improved Supplemental Irrigation Schedules in Western Uruguay to Cope with Climate Variability

Predicting Maize Transpiration, Water Use and Productivity for Developing Improved Supplemental Irrigation Schedules in Western Uruguay to Cope with Climate Variability

Water Use and Yield of Soybean under Various Irrigation Regimes and Severe Water Stress. Application of AquaCrop and SIMDualKc Models

Assessing yield, water productivity and farm economic returns of malt barley as influenced by the sowing dates and supplemental irrigation

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