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 IRRIGATION SCHEDULING CALCULATOR (ISC) TO IMPROVE WATER MANAGEMENT ON FIELD LEVEL IN EGYPT

2017 ◽  
Vol 3 (1) ◽  
Author(s):  
Samiha Abou El-Fetouh Hamed Ouda
Keyword(s):  
Water Management ◽  
Root Zone ◽  
Irrigation Schedule ◽  
Irrigation Scheduling ◽  
Weather Data ◽  
Irrigation Amount ◽  
Daily Weather Data ◽  
Daily Evapotranspiration ◽  
Simulation Results ◽  
Monteith Equation

The developed model is MS excel sheet called “Irrigation Scheduling Calculator, ISC”. The model requires to input daily weather data to calculate daily evapotranspiration using Penman-Monteith equation. The model calculates water depletion from the root zone to determine when to irrigate and how much water should be applied. The charge from irrigation pump is used to calculate how many hours should the farmer run the pump to deliver the needed amount of water. ISC model was used to developed irrigation schedule for wheat and maize planted in El-Gharbia governorate. The developed schedules were compared to the actual schedules for both crops. Furthermore, CropSyst model was calibrated for both crops and run using the developed schedules by ISC model. The simulation results indicated that the calculated irrigation amount by ISC model for wheat was lower than actual schedule by 6.0 mm. Furthermore, the simulated wheat productivity by CropSyst was higher than measured grain and biological by 2%. Similarly, the calculated applied irrigation amount by ISC model for maize was lower than actual schedule by 79.0 mm and the productivity was not changed.

scholarly journals Irrigation Optimization Under a Limited Water Supply by the Integration of Modern Approaches into Traditional Water Management on the Cotton Fields

2019 ◽  
Vol 11 (18) ◽  
pp. 2127
Author(s):  
Polinova ◽  
Salinas ◽  
Bonfante ◽  
Brook
Keyword(s):  
Water Management ◽  
Water Supply ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Irrigation Schedule ◽  
Irrigation Scheduling ◽  
Future Climate Change ◽  
Weather Forecasts ◽  
Red Edge ◽  
Cotton Fields

The ability to effectively develop agriculture with limited water resources is an important strategic objective to face future climate change and to achieve the Sustainable Development Goal 2 (SDG2) of the United Nations. Since new conditions increasingly point to a limited water supply, the aim of modern irrigation management is to be sure to maximize the crop yield and minimize water use. This study aims to explore the advantages of the traditional agronomic approach, agro-hydrological model and field feedback obtained by spectroscopy, to optimize irrigation water management in the example of a cotton field. The study was conducted for two summer growing seasons in 2015 and 2016 in Kibbutz Hazorea, near Haifa, Israel. The irrigation schedule was developed by farmers using weather forecasts and corrected by the results of field inspections. The Soil Water Atmosphere Plant (SWAP) model was applied to optimize seasonal water distribution based on different criteria (critical soil pressure head and allowable daily stress). A new optimization algorithm for irrigation schedules by weather forecasts and vegetation indices was developed and presented in this paper. A few indices related to physical parameters and plant health (Normalized Difference Vegetation Index, Red Edge Normalized Difference Vegetation Index, Modified Chlorophyll Absorption Ratio Index 2, and Photochemical Reflectance Index) were considered. Red Edge Normalized Difference Vegetation Index proves itself as a suitable parameter for monitoring crop state due to its clear-cut response to irrigation treatments and was introduced in the developed algorithm. The performance of the considered irrigation scheduling approaches was assessed by a simulation model application for cotton fields in 2016. The results show, that the irrigation schedule developed by farmers did not compensate for the absence of precipitation in spring, which led to long-term lack of water during crop development. The optimization developed by SWAP allows determining the minimal amount of water which ensures appropriate yield. However, this approach could not take into account the non-linear effect of the lack of water at specific phenological stages on the yield. The new algorithm uses the minimal sufficient seasonal amount of water obtained from SWAP optimization. The approach designed allows one to prevent critical stress in cotton and distribute water in conformity with agronomic practice.

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 Innovation Issues in Water, Agriculture and Food

Water ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1230 ◽  
Author(s):  
Maria do Rosário Cameira ◽  
Luís Santos Pereira
Keyword(s):  
Climate Change ◽  
Water Management ◽  
Water Use ◽  
Water Scarcity ◽  
Water Productivity ◽  
Irrigation Scheduling ◽  
Irrigated Agriculture ◽  
Main Challenge ◽  
Agriculture And Food ◽  
The Impact

The main challenge faced by agriculture is to produce enough food for a continued increase in population, however in the context of ever-growing competition for water and land, climate change, droughts and anthropic water scarcity, and less-participatory water governance. Such a context implies innovative issues in agricultural water management and practices, at both the field and the system or the basin scales, mainly in irrigation to cope with water scarcity, environmental friendliness, and rural society welfare. Therefore, this special issue was set to present and discuss recent achievements in water, agriculture, and food nexus at different scales, thus to promote sustainable development of irrigated agriculture and to develop integrated approaches to water and food. Papers cover various domains including: (a) evapotranspiration and crop water use; (b) improving water management in irrigated agriculture, particularly irrigation scheduling; (c) adaptation of agricultural systems to enhance water use and water productivity to face water scarcity and climate change; (d) improving irrigation systems design and management adopting multi-criteria and risk approaches; (e) ensuring sustainable management for anthropic ecosystems favoring safe and high-quality food production, as well as the conservation of natural ecosystems; (f) assessing the impact of water scarcity and, mainly, droughts; (g) conservation of water quality resources, namely by preventing contamination with nitrates; (h) use of modern mapping technologies and remote sensing information; and (i) fostering a participative and inclusive governance of water for food security and population welfare.

scholarly journals Scheduling Irrigations for Carrots

HortScience ◽  
1990 ◽  
Vol 25 (6) ◽  
pp. 641-644 ◽  
Author(s):  
E. Gordon Kruse ◽  
James E. Ells ◽  
Ann E. McSay
Keyword(s):  
Water Use Efficiency ◽  
Water Use ◽  
Root Zone ◽  
Agricultural Research ◽  
Irrigation Schedule ◽  
High Water ◽  
Irrigation Scheduling ◽  
Rooting Depth ◽  
Use Efficiency ◽  
Crop Coefficients

A 3-year irrigation scheduling study on carrots (Daucus carota L.) was conducted at the Colorado State Univ. Horticulture Research Center near Fort Collins to determine the irrigation schedule that produced the best combination of high water use efficiency and marketable yields with the least amount of water and fewest irrigations. This study used an irrigation scheduling program developed by the U.S. Department of Agriculture/Agricultural Research Service with crop coefficients calculated for carrots. Maximum carrot production and water use efficiency were obtained when the scheduling program simulated a 30-cm rooting depth at planting, increasing linearly to 60 cm in 75 days. Best yields and water use efficiency were attained by irrigating whenever 40% of the available water in the root zone had been depleted. The computer program for irrigation scheduling is available on diskette from the authors.

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.

scholarly journals Determination of crop-coefficients and estimation of evapotranspiration of rapeseed using lysimeter and different reference evapotranspiration models

2021 ◽  
Vol 22 (2) ◽  
pp. 172-178
Author(s):  
ABHIJIT SARMA ◽  
KRISHNA BHARADWAJ
Keyword(s):  
Water Management ◽  
Irrigation Water ◽  
Reference Evapotranspiration ◽  
Irrigation Scheduling ◽  
Actual Evapotranspiration ◽  
Accurate Estimation ◽  
Efficient Management ◽  
Best Estimate ◽  
Crop Coefficients

Accurate estimation of evapotranspiration of rapeseed is essentially required for irrigation scheduling and water management. The present study was undertaken during 2015-16 and 2017-18 in ICR Farm, Assam Agricultural University, Jorhat to determine the crop coefficients (Kc) and estimate evapotranspiration of rapeseed using lysimeter and eight reference evapotranspiration models viz. Penman-Monteith, Advection-Aridity (Bruitsaert-Strickler), Granger-Gray, Makkink, Blaney-Criddle, Turc (1961), Hargreaves-Somani and Priestly-Tailor models. During 2015-16, the crop coefficients were developed by these models. Actual evapotranspiration was determined by three weighing type lysimeters. During 2017-18, evapotranspiration was estimated by multiplying reference evapotranspiration with Kc derived by different models and compared with actual evapotranspiration estimated by lysimeter during similar growing periods. All the models except Turc (1961) showed less than 10% deviation between actual and estimated ET. The estimated evapotranspiration using Penman-Monteith and Priestly-Tailor reference evapotranspiration recorded the lowest MAE and RMSE. The study revealed that estimated evapotranspiration using Penman-Monteith reference evapotranspiration gave the best estimate of evapotranspiration of rapeseed followed by Priestly-Tailor. The crop coefficients for initial, mid and end stages were 0.83, 1.20 and 0.65, respectively for Penman-Monteith and 0.70, 1.05 and 0.55, respectively for Priestly-Tailor.These results can be used for efficient management of irrigation water for rapeseed.

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 Water and Fertilizer Productivity in Dry Season Irrigated Rice at Farmer’s Field

2014 ◽  
Vol 17 (1-2) ◽  
pp. 64-74
Author(s):  
M Maniruzzaman ◽  
JC Biswas
Keyword(s):  
Water Management ◽  
Management Practices ◽  
Rice Yield ◽  
Management Practice ◽  
Water Productivity ◽  
Irrigation Scheduling ◽  
Fertilizer Treatment ◽  
Fertilizer Management ◽  
Irrigated Rice ◽  
Water Treatments

Two on-farm experiments were conducted during dry seasons, 2001-04 at Kurigram and Pirgonj in Thakurgaon districts to select the best water management practices and to find out the suitable and economically viable combination of irrigation scheduling and fertilizer dose for maximizing irrigated rice yield. In alternate irrigation at saturation (AIS) treatment, about 28% water was saved compared to continuous flooding (CF), but it was needed to apply water frequently. However, alternate wetting and drying (AWD) method saved 31% and 39% water in Kurigram and Pirgonj, respectively compared to CF. In both the sites, there was no significant yield difference among the water treatments, though the applied water varied from 836-1046 mm in Kurigram and 802-1092 mm in Pirgonj. The water productivity in Kurigram ranged from 0.62 to 0.89 kg m-3, whereas in Pirgonj it varied from 0.54 to 0.75 kg m-3. Besides, AWD had the highest water productivity irrespective of locations and farmer can follow AWD practices for achieving competitive rice yield with reduced irrigation cost. The soil test based (STB) fertilizer management gave the highest grain yield followed by BRRI recommend dose irrespective of water managements. About 33-35% less amount of water was required in AWD compared to farmer’s practice (FP) in both the sites having 0.5-1.0 t ha-1 yield advantage. In both the locations, the water productivity was the highest with STB fertilizer in combination with AWD water management which required additional fertilizer cost of Tk. 2800 ha-1, but resulted in added benefit of Tk. 8400 ha-1 compared to FP. In STB fertilizer treatment, nutrient uptake was more compared to BRRI recommendation and FP. It was concluded from the study that AWD water management practice was the best option for water saving and improving water productivity. The combination of AWD with STB fertilizer management is suitable for maximum return from rice cultivation in light textured soils.DOI: http://dx.doi.org/10.3329/brj.v17i1-2.20902Bangladesh Rice j. 2013, 17(1&2): 64-74

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

Sign in / Sign up

Export Citation Format

Share Document