Evaluation of soil plant system response to pulsed drip irrigation of an almond tree under sustained stress conditions

Phogat, V.; Skewes, M.A.; Mahadevan, M.; Cox, Jim

doi:10.1016/j.agwat.2012.11.015

Cited by 66 publications

(43 citation statements)

References 54 publications

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“…Additionally, since in the present study we dealt with a tree, for which the root distribution development over time is not as fast as observed for seasonal crops like cereals, the root development was considered relatively constant for the modelling purpose. Hence, a static root distribution and variable atmospheric conditions produced a good approximation of plant uptake, as has been revealed in a number of earlier studies that used HYDRUS for modelling purposes (Sansoulet et al, 2008;Phogat et al, 2012Phogat et al, , 2013Ramos et al, 2011Ramos et al, , 2012Tournebize et al, 2012) …”

Section: Soil Water Distribution and Water Balancementioning

confidence: 69%

“…Other studies have also reported good performance of this software for various soil, water, and crop conditions under pressurised irrigation systems (e.g., Assouline et al, 2006;Ajdary et al, 2007;Patel and Rajput, 2008;Phogat et al, 2012Phogat et al, , 2013Ramos et al, 2012).…”

Section: Soil Water Distribution and Water Balancementioning

confidence: 74%

“…HYDRUS 2D/3D (Šimůnek et al, 2008, 2011) has been used extensively for evaluating the effects of soil hydraulic properties, soil layering, dripper discharge rates, irrigation frequency and quality, timing of nutrient applications on wetting patterns and solute distribution (e.g., Cote et al, 2003;Gärdenäs et al, 2005;Assouline et al, 2006;Hanson et al, 2006;Ajdary et al, 2007;Patel and Rajput, 2008;Šimůnek and Hopmans, 2009;Phogat et al, 2009Phogat et al, , 2010Phogat et al, , 2012Phogat et al, , 2013Li and Liu, 2011;Ramos et al, 2012) because it has the capability to analyse water flow and nutrient transport in multiple spatial dimensions (Cote et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of water movement and nitrate dynamics in a lysimeter planted with an orange tree

Phogat

Skewes

Cox

et al. 2013

Agricultural Water Management

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a b s t r a c tAdoption of high input irrigation management systems for South Australian horticultural crops seeks to provide greater control over timing of irrigation and fertilizer applications. The HYDRUS 2D/3D model was used to simulate water movement in the soil under an orange tree planted in a field lysimeter supplied with 68.6 mm of irrigation water over 29 days. Simulated volumetric water contents statistically matched those measured using a capacitance soil water probe. Statistical measures (MAE, RMSE, t cal ) indicating the correspondence between measured and simulated moisture content were within the acceptable range. The modelling efficiency (E) and the relative efficiency (RE) were in the satisfactory range, except RE at day 19. Simulated daily and cumulative drainage fluxes also matched measured values well. Cumulative drainage flux was 48.9% of applied water, indicating large water losses even under controlled water applications. High drainage losses were due to light texture of the soil and high rainfall (70 mm) during the experimental period. Simulated root water uptake was 40% of applied water.The calibrated HYDRUS model was also used to evaluate several scenarios involving nitrate fertigation. The numerical analysis of NO 3 -N dynamics showed that 25.5% of applied fertilizer was taken up by the orange tree within 15 days of fertigation commencement. The rest of the applied NO 3 -N (74.5%) remained in the soil, available for uptake, but was also vulnerable to leaching later in the growing season. The seasonal simulation revealed that NO 3 -N leaching accounted for 50.2% of nitrogen applied as fertilizer, and plant N recovery amounted to 42.1%. The scenario analysis further revealed that timing of a nitrogen application in an irrigation event had little impact on its uptake by citrus in the lysimeter. However, slightly higher NO 3 -N uptake efficiency occurred when fertigation was applied late in the daily irrigation schedule, or was spread out across all irrigation pulses, rather than being applied early or in the middle. Modelling also revealed that pulsing of irrigation had little impact on nitrate leaching and plant uptake. Applying less irrigation (50% or 75% of ET C ) resulted in higher nitrate uptake efficiency. This study showed that timing of water and fertilizer applications to an orange crop can be better regulated to enhance the efficiency of applied inputs under lysimeter conditions.

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Section: Soil Water Distribution and Water Balancementioning

confidence: 69%

Section: Soil Water Distribution and Water Balancementioning

confidence: 74%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of water movement and nitrate dynamics in a lysimeter planted with an orange tree

Phogat

Skewes

Cox

et al. 2013

Agricultural Water Management

Self Cite

View full text Add to dashboard Cite

show abstract

“…Therefore, the use of Kd allows incorporating the impact of vegetation density and height in the estimation of Kcb. Kd has also been used in other studies to adjust Kcb to actual density conditions for full cover crops [41] and in partial cover crops using both ground [42] or remote sensing data [43]. When soil water deficit occurs, the stress coefficient Ks [ ] is computed by the model using a daily soil water balance for the entire root zone.…”

Section: Simdualkcmentioning

confidence: 99%

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

et al. 2015

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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

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“…In the last few decades, several studies have pointed out the importance of interactions between soil salt and water (Oussama et al 2013;Phogat et al 2013). Generally, salinization problems will arise when more water is added to the local groundwater system than is being discharged under natural conditions.…”

Section: Introductionmentioning

confidence: 99%

Salt dynamics in soil profiles during long-term evaporation under different groundwater conditions

Liu

Yang

et al. 2013

Plant Biosystems - An International Journal Dealing with all As

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Evaluation of soil plant system response to pulsed drip irrigation of an almond tree under sustained stress conditions

Cited by 66 publications

References 54 publications

Evaluation of water movement and nitrate dynamics in a lysimeter planted with an orange tree

Evaluation of water movement and nitrate dynamics in a lysimeter planted with an orange tree

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

Salt dynamics in soil profiles during long-term evaporation under different groundwater conditions

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