Modeling corn growth and root zone salinity dynamics to improve irrigation and fertigation management under semi-arid conditions

Chauhdary, Junaid Nawaz; Bakhsh, Allah; Ragab, Ragab; Khaliq, Abdul; Engel, Bernard A.; Rizwan, Muhammad; Shahid, Muhammad Adnan; Nawaz, Qamar

doi:10.1016/j.agwat.2019.105952

Cited by 17 publications

(12 citation statements)

References 34 publications

(35 reference statements)

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“…The data indicated that the SALTMED model perfectly estimated potato yield. These results agree with many other studies [8,9,[18][19][20]33,34].…”

Section: Saltmedsupporting

confidence: 94%

“…Figure 5C(a-d) show the prediction concentration of NO 3 − and the average value was 32.85 mgL −1 for the first stage, whereas the concentration was decreased with depth. However, as the growth days advanced, the high concentrations increased with depth to 18 The decrease in irrigation to 50% ETc affected the nitrogen concentration using the SALTMED model prediction. Figure 5C(a-d) show the prediction concentration of NO3 -and the average value was 32.85 mgl -1 for the first stage, whereas the concentration was decreased with depth.…”

Section: Soil Nitrogenmentioning

confidence: 99%

“…Studies conducted by Hirich et al (2012) [16] and Silva et al (2013) [17] concluded that SALTMED could make simulations in daily basis according to the main processes of the soil-water-plant relationship. Recently, the model was used on sweetcorn, quinoa, and chickpea and could effectively simulate final yield, moisture, and nitrogen profiles [8,[18][19][20]. It is an important means in scheduling irrigation in a scientifically documented manner with the aim of saving water consumptions and providing an opportunity for horizontal expansion in agriculture by exploiting the limited quantities of water supplied with it, and setting priorities in the use of limited irrigation water.…”

Section: Introductionmentioning

confidence: 99%

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Water Saving and Yield of Potatoes under Partial Root-Zone Drying Drip Irrigation Technique: Field and Modelling Study Using SALTMED Model in Saudi Arabia

et al. 2020

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This study aims to evaluate the Partial Root Zone Drying Irrigation System (PRD) as one of the modern technologies that provide irrigation water and increase the efficiency of its use on potato crop. The effect of applying the PRD conventional deficit irrigation (CDI) on the efficiency and water saving in potato crops using the drip surface (S) and subsurface (SS) irrigation methods were investigated. SALTMED model used to predict soil moisture and salinity distribution, soil nitrogen dynamics, and yield of potato crop using the different irrigation levels (150%, 100%, and 50% of Crop evapotranspiration (ETc)). The study showed that the water use efficiency (WUE) decreases with increasing levels of irrigation water, as it ranged between 2.96 and 8.38 kgm−3, 2.77 and 7.01 kgm−3 for surface irrigation PRD and CDI, respectively, when the amounts of irrigation water varied from 308 mm to 1174 mm, respectively. The study showed that the irrigation efficiencies were the highest when using PRD system in all treatments when irrigating the potato crop during the spring season, and it was more efficient in the case of using subsurface irrigation method. The results show that the soil moisture (SM) was high in 25–45 cm at 150% of ETc was 0.166 and 0.263 m3m−3 for the first and last stages of growth, respectively. 100% of ETc, (SM) was 0.296 m3m−3 at 0–25 cm, 0.195 m3m−3 at 25–45 cm, 0.179 m3m−3 at 45–62 cm, depths, respectively. whereas 50% of ETc, (SM) was 0.162 m3m−3 at 0–25 cm, 0.195 m3m−3 at 25–85 cm, depths. At 100% of ETc, soil salinity was 5.15, 4.37, 3.3, and 4.5 dSm−1, whereas at 50%, ETc, these values were 5.64, 9.6, 3.3, and 4.2 dSm−1. Statistical indicators showed that the model underestimated yield, for 150%, 100%, and 50% of ETc. Therefore, it can be concluded that yield and WUE using PRD systems were the highest in the potato crop compare to CDI surface and sub-surface, and SALTMED model can predict the moisture distribution, salinity, and yield of potatoes after accurate adjustment.

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“…The data indicated that the SALTMED model perfectly estimated potato yield. These results agree with many other studies [8,9,[18][19][20]33,34].…”

Section: Saltmedsupporting

confidence: 94%

Section: Soil Nitrogenmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Water Saving and Yield of Potatoes under Partial Root-Zone Drying Drip Irrigation Technique: Field and Modelling Study Using SALTMED Model in Saudi Arabia

et al. 2020

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“…Differently, Miao et al (2016) reported on the use of the SIMDualKc model for deriving K cb for maize both grown alone and intercropped with wheat and present a procedure to compute K cb for the intercropped management. Chauhdary et al (2020) used the SALTMED model calibrated and validated with gravimetric SWC measurements. A single study was selected on deriving K c mid with a remote sensing energy balance model (Tasumi and Allen, 2007).…”

Section: Maize and Sorghummentioning

confidence: 99%

Standard single and basal crop coefficients for field crops. Updates and advances to the FAO56 crop water requirements method

Pereira

Paredes

Hunsaker

et al. 2021

Agricultural Water Management

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This study reviews the abundant research on FAO56 crop coefficients, published following introduction of the FAO56 paper in 1998. The primary goal was to evaluate, update, and consolidate the mid-season and end-season single (K c ) and basal (K cb ) crop coefficients, tabulated for many field crops in FAO56. The review found that the prevalent approach for estimating crop evapotranspiration (ET c ) is the FAO56 K c -ET o approach, i.e., the product of the K c and reference evapotranspiration (ET o ). The FAO56 K c -ET o approach requires use of the FAO56 PM-ET o grass reference equation with appropriate crop-specific K c and/or K cb . Reviewed research provided various approaches to determine K c and K cb and used a variety of actual crop ET (ET c act ) measurements. Significant attention was placed on accessing the accuracy of the field measurements and models used in these studies. Accuracy requirements, upper limits for K c values, and related causal errors are discussed. Conceptual approaches relative to K c transferability requirements are provided with focus on standard crop conditions and use of the FAO56 segmented K c curve. Papers selected to update K c ∕K cb used the FAO56 PM-ET o , provided accurate measurements to determine and partition ET c act , and satisfied transferability requirements. Selected observed K c and K cb values were converted to standard, sub-humid climate as adopted in FAO56. Observed values, with respect to tabulated FAO56 K c and K cb , were used in consolidating updated values for crops within general categories of grain legumes, fiber crops, oil crops, sugar crops, small grain cereals, maize and sorghum, and rice. Ancillary data, e.g., maximum root depth and crop height, were also collected from selected literature and tabulated. Results showed good agreement between updated and original tabulated FAO56 K c and K cb , confirming the reliability of the FAO56 values. This indicates change in the K c (ET c /ET o ratio) of crops has not occurred due to climate change during the past ≈sixty years. New K c ∕K cb data for crops, not included in FAO56, are also now presented for several oil crops and pseudocereals. The approach adopted for rice differs from FAO56 because consideration was given to the numerous rice water management practices currently used and, thus, K c ∕K cb values for the initial season of rice were also presented. The review also observed that many research papers did not satisfy the adopted requirements in terms of ET o method and/or the accuracy of ET c act determinations and, therefore, could not be used. Thus, emphasis is placed on adopting improved accuracy and quality control in future research aimed at determining K c data comparable to presented values. The transferability of standard K c and K cb has been assured for the values tabulated herein. Improved future applications of the FAO56 K c -ET o method should consider remote sensing observations when available, particularly in defining crop growth stages at given locations.

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“…The uninterrupted application of groundwater for irrigation is replete, which leads to a severe increase in soil salinity and reduction in crop yields. Climate changes, namely the increase in global temperatures and the decline in rainfall, exacerbate soil salinization, resulting in loss of production in arable lands [6]. According to recent estimates, one-fifth of the irrigated lands in the world are affected by salinity.…”

Section: Introductionmentioning

confidence: 99%

Modeling the Effects of Irrigation Water Salinity on Growth, Yield and Water Productivity of Barley in Three Contrasted Environments

et al. 2020

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Freshwater scarcity and other abiotic factors, such as climate and soil salinity in the Near East and North Africa (NENA) region, are affecting crop production. Therefore, farmers are looking for salt-tolerant crops that can successfully be grown in these harsh environments using poor-quality groundwater. Barley is the main staple food crop for most of the countries of this region, including Tunisia. In this study, the AquaCrop model with a salinity module was used to evaluate the performance of two barley varieties contrasted for their resistance to salinity in three contrasted agro-climatic areas in Tunisia. These zones represent sub-humid, semi-arid, and arid climates. The model was calibrated and evaluated using field data collected from two cropping seasons (2012–14), then the calibrated model was used to develop different scenarios under irrigation with saline water from 5, 10 to 15 dS m−1. The scenario results indicate that biomass and yield were reduced by 40% and 27% in the semi-arid region (KAI) by increasing the irrigation water salinity from 5 to 15 dS m−1, respectively. For the salt-sensitive variety, the reductions in biomass and grain yield were about 70%, respectively, although overall biomass and yield in the arid region (MED) were lower than in the KAI area, mainly with increasing salinity levels. Under the same environmental conditions, biomass and yield reductions for the salt-tolerant barley variety were only 16% and 8%. For the salt-sensitive variety, the biomass and grain yield reductions in the MED area were about 12% and 43%, respectively, with a similar increase in the salinity levels. Similar trends were visible in water productivities. Interestingly, biomass, grain yield, and water productivity values for both barley varieties were comparable in the sub-humid region (BEJ) that does not suffer from salt stress. However, the results confirm the interest of cultivating a variety tolerant to salinity in environments subjected to salt stress. Therefore, farmers can grow both varieties in the rainfed of BEJ; however, in KAI and MED areas where irrigation is necessary for crop growth, the salt-tolerant barley variety should be preferred. Indeed, the water cost will be reduced by 49% through growing a tolerant variety irrigated with saline water of 15 dS m−1.

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Modeling corn growth and root zone salinity dynamics to improve irrigation and fertigation management under semi-arid conditions

Cited by 17 publications

References 34 publications

Water Saving and Yield of Potatoes under Partial Root-Zone Drying Drip Irrigation Technique: Field and Modelling Study Using SALTMED Model in Saudi Arabia

Water Saving and Yield of Potatoes under Partial Root-Zone Drying Drip Irrigation Technique: Field and Modelling Study Using SALTMED Model in Saudi Arabia

Standard single and basal crop coefficients for field crops. Updates and advances to the FAO56 crop water requirements method

Modeling the Effects of Irrigation Water Salinity on Growth, Yield and Water Productivity of Barley in Three Contrasted Environments

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