Impact of irrigation timing on simulated water-crop production functions

Scheierling, Susanne M.; Cardon, Grant; Young, Robert A.

doi:10.1007/s002710050041

Cited by 34 publications

(38 citation statements)

References 15 publications

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“…Stewart et al (1977) and Doorenbos and Kassam (1979) predicted relative yield reductions from the product of relative evapotranspiration deficits and a crop-specific yield response factor or yield reduction ratio. This approach has been used extensively to estimate relative yield from inadequate irrigation applications or shortages in water supply (Martin et al, 1984;Scheierling et al, 1997;Kirda et al, 1999;Raes et al, 2006;Shrestha et al, 2010). Relationships between crop yield and evapotranspiration may subsequently be used to develop crop water production functions that relate crop yield to the field water supply, which includes effective precipitation, stored soil moisture depletion, and irrigation amounts that account for spray droplet evaporation and water drift outside the target area, surface runoff, and deep percolation losses (Stewart and Hagan, 1973;Vaux and Pruitt, 1983;Howell, 1990).…”

Section: Introductionmentioning

confidence: 99%

Crop Yield and Water Requirement Relationships for Major Irrigated Crops in Southern Alberta

Bennett

Harms

2011

Canadian Water Resources Journal

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Water supplies available for irrigation in southern Alberta are limited. A study was conducted in southern Alberta to develop crop yield and evapotranspiration (ET c ) relationships for major irrigated crops based on current maximum potential crop yield data and improved methods for determination of crop evapotranspiration. Production functions for crop yield and the field water supply, which includes irrigation at 80% efficiency, effective precipitation, and stored soil moisture depletion, were subsequently determined. These empirical relationships may be used by water managers, economists, and producers to examine the economic implications of crop yield reductions from water stress due to limited water supplies, less than optimum (deficit) irrigation management, or variation in evaporative demand from year to year in different agro-climatic areas of southern Alberta. Potential yield estimates for different scenarios may be used with relevant economic information to determine optimum water use for irrigation.Résumé : L'approvisionnement en eau pour l'irrigation dans le sud de l'Alberta est limité. Une étude a été menée dans le sud de l'Alberta pour développer les relations entre le rendement des cultures et l'évapotranspiration (ET c ) pour les principales cultures irriguées fondées sur des données de rendement potentiel maximal actuel ainsi que sur les méthodes améliorées pour la détermination de l'évapotranspiration. Les fonctions de production pour le rendement des cultures et de l'approvisionnement en eau champ, qui comprend l'irrigation à 80% d'efficacité, les précipitations efficace, et la diminution de la réserve en eau du sol, ont été déterminées par la suite. Ces relations empiriques peuvent être utilisées par les gestionnaires de la ressource eau, les économistes et les producteurs pour examiner les conséquences économiques de la réduction des rendements due au stress hydrique associé aux réserves limitées en eau, à la gestion inadéquate (déficit) de l'irrigation ou aux variation du niveau d'évapotranspiration d'une année à l'autre sous les différentes zones agro-climatiques du sud de l'Alberta. Les estimations de rendements potentiels pour différents scénarios peuvent être utilisées en conjonction avec les informations économiques pertinentes pour optimiser la gestion de l'eau d'irrigation. 160Canadian Water Resources Journal/Revue canadienne des ressources hydriques

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Section: Introductionmentioning

confidence: 99%

Crop Yield and Water Requirement Relationships for Major Irrigated Crops in Southern Alberta

Bennett

Harms

2011

Canadian Water Resources Journal

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“…The high sensitivity of maize to water stress means that under water limiting conditions it is difficult to implement irrigation management strategies without incurring significant yield losses [4,15]. Much of the past research on water stress on maize has consisted of full withholding of irrigation and conditions of severe water stress [11,12]. It is clear from the literature that cessation of irrigation in maize causes significant yield losses.…”

Section: Introductionmentioning

confidence: 99%

“…Grain yield can be reduced by decreasing yield components like grain number and grain weight [5,9]. Many researchers have evaluated the effect of timing of water stress on maize yield [6,[10][11][12]. Flowering has been found to be the most sensitive stage to water deficit, with reductions in biomass, yield and harvest index [4,5,9,13,14].…”

Section: Introductionmentioning

confidence: 99%

Interactive Effects of Drought Stress and Phytohormones or Polyamines on Growth and Yield of Two M(<i>Zea maize</i> L) Genotypes

Shaddad¹,

El-Samad²,

Mohammed³

2011

AJPS

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“…Roots were assumed to be evenly distributed to a depth of 0.5 m (FAO 2010). The parameters of the van Genuchten (1987) root water uptake stress response model were assumed to be as follows: h 50 = -5,000 cm and P = 3 (Scheierling et al 1997). Initial matric head in the flow domain was set to be uniform and equal to the matric head measured in the experimental field for both of the simulated growth periods (-30 and -25 cm, respectively).…”

Section: Experiments With Different Transpiration Ratesmentioning

confidence: 99%

Numerical investigation of irrigation scheduling based on soil water status

et al. 2011

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Improving the sustainability of irrigation systems requires the optimization of operational parameters such as irrigation threshold and irrigation amount. Numerical modeling is a fast and accurate means to optimize such operational parameters. However, little work has been carried out to investigate the relationship between irrigation scheduling, irrigation threshold, and irrigation amount. Herein, we compare the results of HYDRUS 2D/3D simulations with experimental data from triggered drip irrigation, and optimize operational parameters. Two field experiments were conducted, one on loamy sand soil and one on sandy loam soil, to evaluate the overall effects of different potential transpiration rates and irrigation management strategies, on the triggered irrigation system. In both experiments, irrigation was controlled by a closed loop irrigation system linked to tensiometers. Collected experimental data were analyzed and compared with HY-DRUS 2D/3D simulations. A system-dependant boundary condition, which initiates irrigation whenever the matric head at a predetermined location drops below a certain threshold, was implemented into the code. The experimental model was used to evaluate collected experimental data, and then to optimize the operational parameters for two hypothetical soils. The results show that HYDRUS 2D/3D predictions of irrigation events and matric heads are in good agreement with experimental data, and that the code can be used to optimize irrigation thresholds and water amounts applied in an irrigation episode to increase the efficiency of water use.

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Impact of irrigation timing on simulated water-crop production functions

Cited by 34 publications

References 15 publications

Crop Yield and Water Requirement Relationships for Major Irrigated Crops in Southern Alberta

Crop Yield and Water Requirement Relationships for Major Irrigated Crops in Southern Alberta

Interactive Effects of Drought Stress and Phytohormones or Polyamines on Growth and Yield of Two M(<i>Zea maize</i> L) Genotypes

Numerical investigation of irrigation scheduling based on soil water status

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Impact of irrigation timing on simulated water-crop production functions

Cited by 34 publications

References 15 publications

Crop Yield and Water Requirement Relationships for Major Irrigated Crops in Southern Alberta

Crop Yield and Water Requirement Relationships for Major Irrigated Crops in Southern Alberta

Interactive Effects of Drought Stress and Phytohormones or Polyamines on Growth and Yield of Two M(&lt;i&gt;Zea maize&lt;/i&gt; L) Genotypes

Numerical investigation of irrigation scheduling based on soil water status

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Interactive Effects of Drought Stress and Phytohormones or Polyamines on Growth and Yield of Two M(<i>Zea maize</i> L) Genotypes