scholarly journals Validation of DRAS model for irrigation of wheat

1970 ◽  
Vol 35 (3) ◽  
pp. 403-411
Author(s):  
PK Sarkar ◽  
MS Islam ◽  
SK Biswas ◽  
MA Hossain ◽  
S Hassan
Keyword(s):  
Field Experiments ◽  
Water Productivity ◽  
Irrigation Schedule ◽  
Wheat Variety ◽  
Model Performance ◽  
Irrigation Scheduling ◽  
Ecological Zone ◽  
Drought Assessment ◽  
Ecological Zones ◽  
Irrigated Wheat

The study was conducted to validate the Drought Assessment (DRAS) model developed by the Center for Environmental and Geographic Information Services (CEGIS) for irrigation scheduling of wheat (variety: Shatabdi). The performance of the model was compared with the results obtained from the BARI recommended irrigation schedule. The field experiments were carried out during the years 2005-2006 through 2007-2008 in two agro-ecological zones. The locations were RARS, Jamalpur under agro-ecological zone 9 and farmers’ field of FSR site, OFRD, Barind, Rajshahi under agro-ecological zone 26. Six different irrigation treatments including one rainfed with three replications were considered for the study. In respect of yield, BARI recommended irrigation practice performed better in Jamalpur (3.642 t/ha on average). Application of net irrigation requirement (NIR) as per DRAS model based on reported value yielded highest (3.598 t/ha on average) in the Barind area, Rajshahi. However, the yields from all irrigated treatments were very close to each other. From three years’ study, the model performance was found quite satisfactory for irrigated wheat, especially in drought prone areas like Barind, Rajshahi. In respect of water productivity, the model performed almost similar to the BARI recommended practice in Jamalpur. It performed better in Barind region where irrigation water was used by the crop more efficiently. Keywords: DRAS model; irrigation; wheat. DOI: 10.3329/bjar.v35i3.6447Bangladesh J. Agril. Res. 35(3) : 403-411

scholarly journals Calibration, validation and application of AquaCrop model in irrigation scheduling for rice under northwest India

2015 ◽  
Vol 7 (2) ◽  
pp. 691-699 ◽  
Author(s):  
S. S. Sandhu ◽  
S. S. Mahal ◽  
Prabhjyot Kaur
Keyword(s):  
Grain Yield ◽  
Field Experiments ◽  
Water Productivity ◽  
Irrigation Schedule ◽  
Research Work ◽  
Simulation Models ◽  
Irrigation Scheduling ◽  
Loamy Sand Soil ◽  
Aquacrop Model ◽  
Dry Biomass

A lot of research work regarding irrigation scheduling in rice has been carried out at global level with the objective of increasing irrigation water productivity (IWP) and sustaining grain yield. Under natural conditions rain disturb the planned irrigation treatments. One way to overcome this problem is to use rain shelters which is a costly affair, crop growth simulation models offer a good scope to conduct such studies by excluding the effect of rain. Very limited studies are available where FAO’s AquaCrop model has been used to develop irrigation schedule for crops. Therefore, a study was conducted using FAO AquaCrop model to develop irrigation schedule for rice having higher IWP. The model was calibrated and validated using the experimental data of field experiments conducting during 2009 and 2010, respectively. The model underestimated the above ground dry biomass at 30 days after transplanting (DAT) in the range of 21.60 to 24.85 %. At the time of harvest the model overestimated the above ground dry biomass within the range 11.58 to 14.34 %. At harvest the values of normalized root mean square error (15.54%) suggested a good fit for the above ground dry biomass and an excellent agreement (3.34%) between observed and model predicted grain yield. The model suggested to irrigate rice transplanted in puddled loamy sand soil on every 5th day to get higher IWP coupled with statistically similar grain yield as obtained with daily irrigation schedule.

scholarly journals Evapotranspiration Partition and Dual Crop Coefficients in Apple Orchard with Dwarf Stocks and Dense Planting in Arid Region, Aksu Oasis, Southern Xinjiang

Agriculture ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1167
Author(s):  
Hui Cao ◽  
Hongbo Wang ◽  
Yong Li ◽  
Abdoul Kader Mounkaila Hamani ◽  
Nan Zhang ◽  
...  
Keyword(s):  
Water Management ◽  
Water Productivity ◽  
Irrigation Schedule ◽  
Irrigation Scheduling ◽  
Apple Orchard ◽  
Irrigation Amount ◽  
Late Season ◽  
Apple Production ◽  
Crop Coefficients ◽  
Southern Xinjiang

Crop coefficients are critical to developing irrigation scheduling and improving agricultural water management in farmland ecosystems. Interest in dwarf cultivation with high density (DCHD) for apple production increases in Aksu oasis, southern Xinjiang. The lack of micro-irrigation scheduling limits apple yield and water productivity of the DCHD-cultivated orchard. A two-year experiment with the DCHD-cultivated apple (Malus × domestica ‘Royal Gala’) orchard was conducted to determine crop coefficients and evapotranspiration (ETa) with the SIMDualKc model, and to investigate apple yield and water productivity (WP) in response to different irrigation scheduling. The five levels of irrigation rate were designed as W1 of 13.5 mm, W2 of 18.0 mm, W3 of 22.5 mm, W4 of 27.0 mm, and W5 of 31.5 mm. The mean value of basal crop coefficient (Kcb) at the initial-, mid-, and late-season was 1.00, 1.30, and 0.89, respectively. The Kc-local (ETa/ET0) range for apple orchard with DCHD was 1.11–1.20, 1.33–1.43, and 1.09–1.22 at the initial, middle, and late season, respectively. ETa of apple orchard in this study ranged between 415.55–989.71 mm, and soil evaporation accounted for 13.85–29.97% of ETa. Relationships between total irrigation amount and apple yield and WP were developed, and W3 was suggested as an optimum irrigation schedule with an average apple yield of 30,540.8 kg/ha and WP of 4.45 kg/m3 in 2019–2020. The results have implications in developing irrigation schedules and improving water management for apple production in arid regions.

scholarly journals Optimization of Irrigation Scheduling for Maize in an Arid Oasis Based on Simulation–Optimization Model

Agronomy ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 935 ◽  
Author(s):  
Jiang Li ◽  
Xiyun Jiao ◽  
Hongzhe Jiang ◽  
Jian Song ◽  
Lina Chen
Keyword(s):  
Simulation Model ◽  
Optimization Model ◽  
Simulation Optimization ◽  
Water Productivity ◽  
Irrigation Schedule ◽  
Irrigation Scheduling ◽  
Water Saving ◽  
Scheduling Optimization ◽  
Agricultural Water Resources ◽  
Crop Water Consumption

In arid regions, irrigation scheduling optimization is efficient in coping with the shortage of agricultural water resources. This paper developed a simulation–optimization model for irrigation scheduling optimization for the main crop in an arid oasis, aiming to maximize crop yield and minimize crop water consumption. The model integrated the soil water balance simulation model and the optimization model for crop irrigation scheduling. The simulation model was firstly calibrated and validated based on field experiment data for maize in 2012 and 2013, respectively. Then, considering the distribution of soil types and irrigation districts in the study area, the model was used to solve the optimal irrigation schedules for the scenarios of status quo and typical climate years. The results indicated that the model is applicable for reflecting the complexities of simulation–optimization for maize irrigation scheduling. The optimization results showed that the irrigation water-saving potential of the study area was between 97 mm and 240 mm, and the average annual optimal yield of maize was over 7.3 t/ha. The simulation–optimization model of irrigation schedule established in this paper can provide a technical means for the formulation of irrigation schedules to ensure yield optimization and water productivity or water saving.

scholarly journals Effect of Pterocladia capillacea Seaweed Extracts on Growth Parameters and Biochemical Constituents of Jew’s Mallow

Agronomy ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 420 ◽  
Author(s):  
Mohamed Ashour ◽  
Ahmed A. El-Shafei ◽  
Hanan M. Khairy ◽  
Doaa Y. Abd-Elkader ◽  
Mohamed A. Mattar ◽  
...  
Keyword(s):  
Irrigation Water ◽  
Field Experiments ◽  
Growth Parameters ◽  
Water Productivity ◽  
Growth Yield ◽  
Irrigation Scheduling ◽  
Water Extraction ◽  
Yield Response ◽  
Yield Reduction ◽  
Initial Growth

We performed field experiments to evaluate the influence of two extraction treatments, seaweed (Pterocladia capillacea S.G. Gmelin) water extraction (WE) and ultrasound-assisted water extraction (USWE) at three concentrations (5%, 10%, and 15%), as well as control NPK traditional mineral fertilizer on the growth, yield, minerals, and antioxidants of Jew’s Mallow (Corchorus olitorius L.) during the two seasons of 2016 and 2017 in Egypt. Plant height, number of leaves, and fresh weight of WE10 treatment were the highest (p < 0.05) as 59.67 cm, 10.67 and 2.41 kg m−2 in 2016, respectively, and 57.33 cm, 11.00 and 2.32 kg m−2 in 2017, respectively. WE10 and USWE5 treatments produced the highest dry matter (17.07%) in 2016 and (16.97%) in 2017, respectively. WE10 plants had an increased water productivity of 41.2% relative to control plants in both seasons. The highest chlorophyll ‘a’ was recorded after the WE10 treatment in 2016 and 2017 (17.79 μg g−1 and 17.84 μg g−1, respectively). The highest levels of total antioxidant capacity, total phenolics, and total flavonoids were also recorded after the WE10 treatment. Application of WE10 boosted growth, yield, minerals, and antioxidants of Jew’s Mallow. The CROPWAT model was used to estimate the evapotranspiration, irrigation water requirements, and yield response to irrigation scheduling. Our data showed a yield reduction in the initial growth stage if a limited amount of water was provided. Therefore, irrigation water should be provided during the most important stages of crop development with the choice of effective irrigation practices to avoid water losses, as this helps to maximize yield.

scholarly journals Field and Modeling Study on Manual and Automatic Irrigation Scheduling under Deficit Irrigation of Greenhouse Cucumber

2020 ◽  
Vol 12 (23) ◽  
pp. 9819
Author(s):  
Abdelraouf R. E. ◽  
H. G. Ghanem ◽  
Najat A. Bukhari ◽  
Mohamed El-Zaidy
Keyword(s):  
Automatic Control ◽  
Irrigation Water ◽  
Deficit Irrigation ◽  
Water Productivity ◽  
N Uptake ◽  
Irrigation Schedule ◽  
Irrigation Management ◽  
Irrigation Scheduling ◽  
Research Centre ◽  
Arid Zones

The primary goal of all those working in the field of sustainable water management, particularly in the arid and semi-arid zones, is to increase irrigation efficiency, reduce irrigation water losses, and improve water productivity for all crops. This study assessed the automatic irrigation scheduling and irrigation management on the growth, yield, and water productivity of cucumber under greenhouse conditions. A field experiment was conducted using cucumber grown in aplastic greenhouse during the winter of 2017/18 and 2018/19 at the research farm station of the National Research Centre (NRC), El-Noubaria Region, Behaira Governorate, Egypt. In a split-plot experiment, two different methods to control irrigation scheduling (manual control (MC) and automatic control (AC)) were used in the main plots and three deficit irrigation treatments (100% of full irrigation (FI), 80% of FI, and 60% of FI). Through the obtained results, it was found that the use of the automatic control of the irrigation schedule led to an improvement in the productivity and quality characteristics of the cucumber crop. Automatic irrigation control created healthy conditions for the plant roots located under the least water stress. This led to an increase in nitrogen uptake at the ages of 3, 5, 7, and 9 weeks after planting in addition to improving the total leaf area and the chlorophyll content of leaves, which consequently had a greater effect on increasing yield and water productivity of cucumber. Although the highest values of cucumber productivity were obtained with irrigation at 100% of FI, there were no significant differences between 100% FI and 80% of FI, therefore it is preferable to irrigate at 80% of FI, and this means saving 20% of irrigation water that can be used to irrigate other areas. The SALTMED model simulating all of the following evaluation criteria performed well for soil moisture content and N-uptake as well as the leaves area, the yield, and water productivity of cucumber for all treatments for the two growing seasons 2017/18 and 2018/19, with the overall R2 of 0.882, 0.903, 0.975, 0.907, and 0.933, respectively.

Characterizing water use by irrigated wheat at Griffith, New South Wales

Soil Research ◽  
1987 ◽  
Vol 25 (4) ◽  
pp. 499 ◽  
Author(s):  
WS Meyer ◽  
FX Dunin ◽  
RCG Smith ◽  
GSG Shell ◽  
NS White
Keyword(s):  
Water Use ◽  
Field Experiments ◽  
Root Zone ◽  
Soil Surface ◽  
Irrigation Scheduling ◽  
Balance Model ◽  
Wheat Crop ◽  
Water Tables ◽  
Irrigated Wheat ◽  
Upward Flux

Wheat is being grown increasingly in the irrigated areas of south-east Australia. Its profitability depends on high yields, which in turn, are highly dependent on accurate water management. This combination, together with the increasing need for greater water use efficiency to minimize accessions to rising water-tables, calls for effective irrigation scheduling. To achieve this, accurate estimates of crop water use and upward fluxes of water into the root zone from shallow water-tables are required. A weighing lysimeter, installed in 1984, measured hourly evaporation (Ea) from a wheat crop which enabled the accuracy of water use estimates to be assessed. Daily potential evaporation (Ep) was calculated from a combination equation previously calibrated over lucerne, while previously developed crop coefficients for wheat were used to convert Ep to estimated Ea. Daily Ea was the major component in a water balance model for irrigated wheat. The model was quite efficient (r2 = 0.911, but with a bias of -8.8%, which indicated that Ea values were generally underestimated. The underestimate was due primarily to the wind function used in the calculation of Ep, and alternative functions for both daily and hourly calculations were derived. The 1984 lysimeter data also showed that change in soil water content was accurately measured with the field-calibrated neutron probe. Comparisons of measured and estimated water use from field experiments in 1981 and 1982 indicated that upward flux from a water-table between 1 a5 and 2.1 m below the soil surface may be up to 30% of daily Ea. This upward flux will need to be taken into account if irrigation scheduling is to promote efficient use of irrigation water.

scholarly journals Analysing water productivity response to sowing window, irrigation levels and mulching using CERES-wheat model

2021 ◽  
Vol 23 (3) ◽  
pp. 286-291
Author(s):  
PARMINDER SINGH BUTTAR ◽  
P. K. KINGRA ◽  
R. K. PAL ◽  
SOM PAL SINGH ◽  
SAMANPREET KAUR
Keyword(s):  
Water Use ◽  
Field Experiments ◽  
Water Productivity ◽  
Wheat Variety ◽  
Wheat Yield ◽  
Co2 Concentration ◽  
Productivity Increase ◽  
Future Warming ◽  
Simulation Results ◽  
Irrigation Levels

Field experiments were carried out during rabi seasons of 2015-16 and 2016-17 at the Research Farm, Punjab Agricultural University, Ludhiana. Wheat variety PBW 621 was sown on three dates (D1: 4th week of October, D2: 2nd week of November and D3: 4th week of November) with two irrigation levels (I1: IW/ CPE = 0.9, I2: At CRI, 5-6 weeks after 1st irrigation, 3-4/5-6 weeks after 2nd irrigation, 2/4 weeks after 3rd irrigation as per dates of sowing) and mulch application (M1: without mulch, M2: straw mulch @ 5 t ha-1). Earlier sown mulch applied crop with four post-sowing irrigations produced highest (5312.5 kg ha-1) and late sown without mulch application crop with irrigation @IW/CPE = 0.9 produced lowest grain yield (3900.5 kg ha-1). Simulation results depicted -1.1 to 16.8 per cent deviation in crop yield, -1.4 to -21.0 per cent in water use and 12.7 to 45.5 per cent in water productivity. Increase in temperature from 1oC to 3oC decreased wheat yield by 6.3 to 27.0 per cent under D1 and 3.3 to 17.6 per cent under D2, however, it increased from 8.1 to 16.2 per cent under D3, indicating D3 as most appropriate under future warming scenarios. Increase in CO2 concentration decreased water use and increased yield and water productivity.

scholarly journals WATER STRESS EFFECT ON WHEAT AT DIFFERENT MECHANICAL SEEDING SYSTEMS

2019 ◽  
Vol 52 (3) ◽  
pp. 207-219
Author(s):  
Rokon Zaman
Keyword(s):  
Water Use ◽  
Conservation Tillage ◽  
Water Productivity ◽  
Irrigation Schedule ◽  
Irrigation Treatment ◽  
Grain Filling ◽  
Irrigation Scheduling ◽  
Stress Effect ◽  
Wheat Cultivation ◽  
Strip Tillage

Judicial water use, as well as improving water use efficiency in agriculture is new challenge. Conservation tillage, as well as mechanical seeding system, offers various benefits over intensive tillage system. Considering this, the study was conducted to find out the water requirements and appropriate deficit irrigation schedule of wheat on different seeding system. This study consisted of following irrigation treatments, like I1 = Irrigation at CRI stage, I2 = Irrigation at CRI and vegetative stages, I3 = Irrigation at CRI and grain filling stages and I4 = Irrigation at CRI, vegetative and grain filling stages on four mechanical seeding methods, like T1 = Bed planting, T2 = PTOS, T3 = Strip tillage, and T4 = Zero tillage and laid out in a split plot design with three replications. From the result based on the grain yield and water productivity, bed planting (T1) and three levels of irrigation (I4) was found as the best combination for wheat cultivation. Besides, at water scarcity area bed planting (T1), with two irrigation I2 (CRI and vegetative) was the suitable reduce irrigation scheduling for wheat cultivation. In different seeding methods, bed planting was increased yield about 10.58%, followed by PTOS and yield was identical in PTOS and ST. Comparatively, lowest yield was observed in zero. In irrigation treatment, three irrigations (I4) was observed, the best scheduling for wheat on all seeding system and yield was increased 11.98% in I4, followed by I2 and lowest yield was found in I1. The result also revealed that the soil moisture contribution was decreased with increased applied water, as well as number of irrigation.

scholarly journals Model based irrigation water application of maize (zeamays l.) to improve water productivity in irrigated agriculture

2020 ◽  
pp. 37918-37925
Author(s):  
Keyword(s):  
Crop Yields ◽  
Water Productivity ◽  
Irrigation Schedule ◽  
Irrigation Scheduling ◽  
Water Requirement ◽  
Irrigated Agriculture ◽  
Accurate Estimation ◽  
Crop Water ◽  
Maize Crop ◽  
Irrigation Requirements

Under the semiarid and arid climate of Eastern Europe, accurate estimation of crop water requirement and irrigation scheduling is important for water management and planning. The objectives of this study were to estimate maize water requirement and irrigation scheduling in variable climatic conditions. CROPWAT model is decision support system developed by United Nations Food and Agriculture Organization (FAO) and it is used as a practical tool to carry out standard calculations for reference evapotranspiration, crop water requirements, irrigation scheduling, and also allows helps in planning and decision making in the areas where water resource availability is varying and scarce. The study result indicated that Maize seasonal amounts of irrigation requirements varied from 439.5 to 615.0 mm. Maize actual daily evapotranspiration (ETa) varied from 0.12 to 4.13 mm and from 0.27 to 4.68 mm in 2010 and 2011 respectively. Net irrigation schedule for all growing periods in 2010 was zero for initial and late but for development 138.9 mm and 45.9 mm for mid-stage of the growing period. However, 2011 were zero, 83.7 mm, 178 mm, and 98.2 mm in initial, mid, and development and late stages respectively. Besides in the study area, 2010 was the wettest year but 2011 was determined as the driest year this may cause adverse conditions on maize crop yields quantity and quality. Irrigation requirements for maize should be adjusted to the local meteorological conditions for optimizing maize irrigation requirements and improving maize water productivity under such climatic variable conditions.

IRRIGATION SCHEDULE OF LONG-FRUIT CUCUMBERS AND HYDROAMELIORATIVE REQUIREMENTS FOR DRIP IRRIGATION IN PLASTIC GREENHOUSE

2019 ◽  
pp. 307-313
Author(s):  
Rumiana Kireva ◽  
Roumen Gadjev
Keyword(s):  
Irrigation Water ◽  
Drip Irrigation ◽  
Water Productivity ◽  
Irrigation Schedule ◽  
Water Source ◽  
Climate Conditions ◽  
Irrigation Technology ◽  
Irrigation Technologies ◽  
Pressure Flows ◽  
Efficient Water Use

The deficit of the irrigation water requires irrigation technologies with more efficient water use. For cucumbers, the most suitable is the drip irrigation technology. For establishing of the appropriate irrigation schedule of cucumbers under the soil and climate conditions in the village of Chelopechene, near Sofia city, the researchеs was conducted with drip irrigation technology, adopting varying irrigation schedules and hydraulic regimes - from fully meeting the daily crops water requirements cucumbers to reduced depths with 20% and 40%. It have been established irrigation schedule with adequate pressure flows in the water source, irrigation water productivity and yields of in plastic unheated greenhouses of the Sofia plant.

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