Evaluation of the impact of surface residue cover on single and dual crop coefficient for estimating soybean actual evapotranspiration

Odhiambo, Lameck O.; Irmak, Suat

doi:10.1016/j.agwat.2011.12.021

Cited by 43 publications

(29 citation statements)

References 54 publications

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“…The K cb and p values are equal to those proposed by Allen et al [31], K cb ini = 0.15, K cb mid = 1.10 and K cb end = 0.33. Slightly lower K cb mid values were obtained by Odhiambo and Irmak [52] and Wei et al [26]. K cb ini and K cb end reported by those authors are about the same as for the current study.…”

Section: Soil Water Simulation and Models Calibration And Parameterizsupporting

confidence: 70%

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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Section: Soil Water Simulation and Models Calibration And Parameterizsupporting

confidence: 70%

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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“…The peaks of ET values occurred on days which succeed irrigation events while lowest daily values of ET occurred on days on which there were no irrigations. The maximum daily values of ET (peaks) occurs due to increase of the soil evaporation, mainly during initial and crop-development stages when the crop do not provide full ground cover (LAI < 3, Table 2 and Figure 5), direct evaporation of rainfall or irrigation intercepted by plant canopy, and crop residues which occur for a very small period following sprinkler irrigation (López-Urrea et al, 2009a;Odhiambo & Irmak, 2012).…”

Section: Energy Exchange and Evapotranspirationmentioning

confidence: 99%

Surface energy exchange and evapotranspiration from cotton crop under full irrigation conditions in the Rio Grande do Norte State, Brazilian Semi-Arid

Bezerra

Silva

et al. 2015

Bragantia

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“…Therefore, the accuracy of irrigation prediction largely depends on how to acquire precise weather data for the following days. It is equally important that we should accurately estimate ET c by coupling reference evapotranspiraion (ET 0 ) with crop coefficient (K c ) for irrigation forecast [5]. The estimate of ET 0 is usually based on measurable and accessible climatic factors such as air temperature, solar radiation, and precipitation etc.…”

Section: Introductionmentioning

confidence: 99%

Soil Moisture and Crop Evapotranspiration Forecast for Winter Wheat Based on Weather Information in North China Plain

Liu¹,

Qin²,

Duan³

et al. 2017

Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)

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Abstract-Soil moisture and crop evapotranspiration (ETc) forecast based on weather information is a basis for realizing precise irrigation, which could be an innovative technique for water-saving strategy in irrigated district. Combined with longterm experimental data in People's Victory Canal irrigated district, we put forward a systematic soil moisture forecast method for winter wheat using related weather information. In this study, hourly soil moisture was automatically monitored by a soil moisture monitoring system. Weather information for the following two weeks was automatically acquired. Combined with ETc, soil moisture forecast can be used to predict irrigation time and amount which differs among growth stages of winter wheat. In particular, irrigation time can be decided by monitoring soil moisture when reaching to lower limit of soil moisture for winter wheat, and the irrigation amount can be determined by calculating soil water storage needed to meet planned wetting layer according to crop growth monitoring. Parameters in soil moisture and crop evapotranspiration forecast models were determined using Levenberg-Marquardt regression. Validation test suggests that the models we developed are reliable. We conclude that the models can serve as a useful tool for future irrigation forecast.

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Evaluation of the impact of surface residue cover on single and dual crop coefficient for estimating soybean actual evapotranspiration

Cited by 43 publications

References 54 publications

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

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

Surface energy exchange and evapotranspiration from cotton crop under full irrigation conditions in the Rio Grande do Norte State, Brazilian Semi-Arid

Soil Moisture and Crop Evapotranspiration Forecast for Winter Wheat Based on Weather Information in North China Plain

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