A new scheme to optimize irrigation depth using a numerical model of crop response to irrigation and quantitative weather forecasts

Baki, Hassan M. Abd El; Fujimaki, Haruyuki; Tokumoto, Ieyasu; Saito, Tadaomi

doi:10.1016/j.compag.2018.05.016

Cited by 21 publications

(15 citation statements)

References 15 publications

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Section: Soil Water Contentsupporting

confidence: 86%

“…Therefore, irrigation water cannot reach the surface layer of middle and wet only by rainfall. In general, the model can simulate VWC in fair accuracy in accordance with previous studies [17,18,26,27]. According to Figure 6, the uptake of NO 3 was higher for treatment S due to less NO 3 leaching than treatment S. This would be expected as most of the liquid fertilizer was injected at the beginning of irrigation in the automatic irrigation system.…”

Section: Soil Water Contentsupporting

confidence: 84%

“…Hence, optimal irrigation depth corresponding to maximum I n is obtained when the first derivative of Equation (1) with regard to W becomes zero. Unlike the nonlinear function as presented by Fujimaki et al [17] and Abd El Baki et al [18], it is constant either positive or negative as:…”

Section: Determination Of An Economical Irrigation Depthmentioning

confidence: 99%

“…Parameters τ 0 and a t are determined from two trials at W = 0 and another W. The second W is set at the half of τ 0 plus cumulative reference ET until next irrigation. The scheme presented by Fujimaki et al [17] and Abd El Baki et al [18] assumed a nonlinear relationship between cumulative transpiration and irrigation depth; thereby optimal irrigation depth is determined at a point which gives somewhat lower transpiration and yield than potential values. While the original scheme requires three runs to determine parameter values of τ(W) function, the new scheme requires only two which saves time for running simulation by one-third.…”

Section: Determination Of An Economical Irrigation Depthmentioning

confidence: 99%

“…In a unique study, an economical irrigation depth corresponding to maximum net income at each irrigation interval, not the entire cropping season, was determined based on a nonlinear relationship between cumulative transpiration and irrigation depth considering weather forecast [17,18]. Their method is somewhat time consuming because it requires three runs of heavy two-dimensional simulation of water flow in a soil.…”

Section: Introductionmentioning

confidence: 99%

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Determining Irrigation Depths for Soybean Using a Simulation Model of Water Flow and Plant Growth and Weather Forecasts

2020

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A new scheme to determine irrigation depths using a two-point of predicted cumulative transpiration over irrigation interval is presented. Rather than maximizing water use efficiency, this scheme aims to maximize net income. The volumetric water price is considered to give farmers an incentive to save irrigation water. A field experiment for soybeans was carried out in the Arid Land Research Center, Tottori University, Japan in 2019. The total irrigation amount yield and net income by the proposed scheme were compared to those by a tensiometer-operated automated irrigation. The scheme could save irrigation water by 16% with a yield increment of 20%; resulting in a 22% increase in net income compared to the automated irrigation. The model simulated the volumetric water content in the effective root zone of the plant in fair agreement. These results indicate the effectiveness of the proposed scheme that may replace an automated irrigation system even considering uncertainty in weather forecast to determine irrigation depth and secure investment costs.

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Section: Soil Water Contentsupporting

confidence: 86%

Section: Soil Water Contentsupporting

confidence: 84%

Section: Determination Of An Economical Irrigation Depthmentioning

confidence: 99%

Section: Determination Of An Economical Irrigation Depthmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Determining Irrigation Depths for Soybean Using a Simulation Model of Water Flow and Plant Growth and Weather Forecasts

2020

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Assessing the reliability of AquaCrop as a decision-support tool for sustainable crop production

Khaleghi

Karandish

Chouchane

2022

Theor Appl Climatol

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DSSAT modelling for best irrigation management practices assessment under Mediterranean conditions

Malik

Dechmi

2019

Agricultural Water Management

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Water is considered the most critical resource for sustainable development in Spain. Crop models can enhance water efficiency, which provides an economic advantage while also reducing environmental burdens. The aim of this study was to calibrate and evaluate the Decision Support System for Agro-technology Transfer (DSSAT) model for the major crops grown in the fields of the La Violada Irrigation District (VID), Spain; additionally, this research sought to evaluate the current practices and to determine the best irrigation management practices under different soil types in the VID for each crop. Crop and soil type data from 54 plots of farmers' fields were used for model calibration and evaluation during the 2015 and 2016 irrigation seasons. Two irrigation scenarios were applied in eight soil types in the VID based on the current irrigation applied by farmers and the optimum irrigation adjusted to crop requirement. The DSSAT model demonstrated good performance among maize, wheat, barley and sunflower crops. The evaluation of the current irrigation system showed that farmers were not managing their irrigation systems properly. The adjusted irrigation management application showed a potential reduction in the seasonal irrigation depth for maize-SS (short-season maize) (27%), maize-LS (long season maize) (18%) and sunflower (16%). In a broader context, optimum irrigation practices can reduce the amount of leached N and deep percolation losses by 31% (4.48 T) and 34% (1.2 hm 3 ), respectively, considering the cultivated crop area in each soil type in the entire VID. Additionally, the characteristics of the irrigation system, crop needs, soil properties, and atmospheric conditions must all be considered to properly schedule irrigation practices. In fact, poor timing or insufficient water application can result in crop drought stress and

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A new scheme to optimize irrigation depth using a numerical model of crop response to irrigation and quantitative weather forecasts

Cited by 21 publications

References 15 publications

Determining Irrigation Depths for Soybean Using a Simulation Model of Water Flow and Plant Growth and Weather Forecasts

Determining Irrigation Depths for Soybean Using a Simulation Model of Water Flow and Plant Growth and Weather Forecasts

Assessing the reliability of AquaCrop as a decision-support tool for sustainable crop production

DSSAT modelling for best irrigation management practices assessment under Mediterranean conditions

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