Modeling malt barley water use and evapotranspiration partitioning in two contrasting rainfall years. Assessing AquaCrop and SIMDualKc models

Pereira, Luís S.; Paredes, Paula; Rodrigues, G. C.; Neves, M. Manuela

doi:10.1016/j.agwat.2015.06.006

Cited by 90 publications

(91 citation statements)

References 84 publications

(132 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The barley field was cropped with 200 kg·ha Table 1. The barley fc observations were performed similarly to the maize crop; furthermore, LAI measurements were also used to estimate fc and therefore to confirm related observations as referred by Pereira et al [35]. .…”

Section: Study Areasmentioning

confidence: 99%

“…This model has been successfully applied to estimate ET and assess Kc of a wide range of field crops [34,35,39], including tree crops [8,40]. Data from SIMDualKc were used as benchmark, i.e., a standard against which comparisons can be done, mainly for the comparison of Kc and Kcb results.…”

Section: Simdualkcmentioning

confidence: 99%

“…. Ground data collected in maize and barley study areas included LAI and fc, whose measurements were used to calibrate the SIMDualKc model as detailed by Paredes et al [34] and Pereira et al [35].…”

Section: Study Areasmentioning

confidence: 99%

“…Barley was sown in field 1; two seasons were studied: (i) 2012, a dry year, and (ii) 2012/2013, a wet year [35]. The barley field was cropped with 200 kg·ha Table 1.…”

Section: Study Areasmentioning

confidence: 99%

See 3 more Smart Citations

Estimation of Actual Crop Coefficients Using Remotely Sensed Vegetation Indices and Soil Water Balance Modelled Data

et al. 2015

Self Cite

View full text Add to dashboard Cite

Abstract:A new procedure is proposed for estimating actual basal crop coefficients from vegetation indices (Kcb VI) considering a density coefficient (Kd) and a crop coefficient for bare soil. Kd is computed using the fraction of ground cover by vegetation (fc VI), which is also estimated from vegetation indices derived from remote sensing. A combined approach for estimating actual crop coefficients from vegetation indices (Kc VI) is also proposed by integrating the Kcb VI with the soil evaporation coefficient (Ke) derived from the soil water balance model SIMDualKc. Results for maize, barley and an olive orchard have shown that the approaches for estimating both fc VI and Kcb VI compared well with results obtained using the SIMDualKc model after calibration with ground observation data. For the crops studied, the correlation coefficients relative to comparing the actual Kcb VI and Kc VI with actual Kcb and Kc obtained with SIMDualKc were larger than 0.73 and 0.71, respectively. The corresponding regression coefficients were close to 1.0. The methodology herein presented and discussed allowed for obtaining information for the whole crop season, including periods when vegetation cover is incomplete, as the initial and development stages. Results show that the proposed methods are adequate for supporting irrigation management. OPEN ACCESSRemote Sens. 2015, 7 2374

show abstract

Section: Study Areasmentioning

confidence: 99%

Section: Simdualkcmentioning

confidence: 99%

Section: Study Areasmentioning

confidence: 99%

“…Barley was sown in field 1; two seasons were studied: (i) 2012, a dry year, and (ii) 2012/2013, a wet year [35]. The barley field was cropped with 200 kg·ha Table 1.…”

Section: Study Areasmentioning

confidence: 99%

See 2 more Smart Citations

Estimation of Actual Crop Coefficients Using Remotely Sensed Vegetation Indices and Soil Water Balance Modelled Data

et al. 2015

Self Cite

View full text Add to dashboard Cite

show abstract

“…The SIMDualKc model uses a decay function of time (LIU et al, 2006) to estimate deep percolation, whose parameters were calibrated by MARTINS et al (2013). Further details for the calibration and validation procedures of the SIMDualKc model can be found in ROSA et al (2012), PAREDES et al (2014) andPEREIRA et al (2015).…”

Section: Methodsmentioning

confidence: 99%

Simulation of soil water balance and partitioning of evapotranspiration of maize grown in two growing seasons in Southern Brazil

et al. 2017

View full text Add to dashboard Cite

The objective of this study was to simulate the variation of the available soil water during maize crop growth, in two different sowing times (first and second growing season), using a drip irrigation system. The treatments consisted of different irrigation strategies (full to deficit). The SIMDualKc simulation model was used to determine the daily soil water balance and crop evapotranspiration using the dual crop coefficient approach. Soil, climate, crop and irrigation parameters were used as input data. Two experiments were carried out in a rainout shelter composed of two metallic structures (16x10m) in the city of Santa Maria, Rio Grande do Sul, Brazil, during 2010/11 (second crop, season 1) and 2011/12 (first crop, season 2) growing seasons, under no-tillage system. The simulations showed that all the irrigation management strategies used in season 2 resulted in soil water deficit, while only two strategies showed deficit in season 1. Results showed good agreement between observed and simulated soil water data, with an R2 ranging from 0.86 to 0.99 and the root mean square error ranging from 2.7 to 5.6% of the total available water for seasons 1 and 2, respectively. The observed results of water balance showed that maize grown in season 2 presented higher water consumption compared to season 1, due to the higher atmospheric demand of season 2. The SIMDualKc model allowed the partitioning of crop evapotranspiration into soil evaporation and crop transpiration, demonstrating that the vegetative growth subperiod presented the greatest differences between the two seasons compared to the others growth phases.

show abstract

Salt and Water Dynamics Under Saline Irrigation: Modeling Approaches

Minhas,

Qadir

2024

Irrigation Sustainability With Saline and Alkali Waters

View full text Add to dashboard Cite

Modeling malt barley water use and evapotranspiration partitioning in two contrasting rainfall years. Assessing AquaCrop and SIMDualKc models

Cited by 90 publications

References 84 publications

Estimation of Actual Crop Coefficients Using Remotely Sensed Vegetation Indices and Soil Water Balance Modelled Data

Estimation of Actual Crop Coefficients Using Remotely Sensed Vegetation Indices and Soil Water Balance Modelled Data

Simulation of soil water balance and partitioning of evapotranspiration of maize grown in two growing seasons in Southern Brazil

Salt and Water Dynamics Under Saline Irrigation: Modeling Approaches

Contact Info

Product

Resources

About