Research Article | | Peer-Reviewed

Determination of Irrigation Interval and Optimum Water Demand of Wheat at Eastern Hararghe zone of Oromia

Published in Hydrology (Volume 13, Issue 3)
Received: 21 August 2025     Accepted: 23 September 2025     Published: 18 October 2025
Views:       Downloads:
Abstract

Soil moisture based application of irrigation water is crucial for obtaining optimum irrigation scheduling of crop. The objectives of this study were determining optimum irrigation interval, irrigation frequency and optimum water demand of wheat for better production. The result indicates that maximum irrigation frequency and maximum irrigation water was applied by 60% ASMDL. Minimum irrigation frequency and minimum water was applied by 140% ASMDL treatment. A narrow irrigation interval was applied by 60% ASMDL and elongated irrigation interval was applied by 140% ASMDL. The result show that, maximum plant height, number of productive tillers, straw yield and grain yield was obtained by 60% ASMDL treatment. The result indicates that, statistically there is no significance difference between 80% ASMDL and 60% ASMDL treatments in terms of wheat grain yield. The result implies that, as irrigation water is applied more frequently and in short interval the wheat produce more tiller which leads to maximum grain yield. Maximum water productivity (2.078 kg/m3) was obtained by scheduling irrigation at 100% ASMDL. Statistically there is no significance difference between 80% ASMDL and 100% ASMDL in terms of water productivity. Minimum water productivity was obtained by scheduling irrigation at 140% ASMDL. The result show that, optimum grain yield (41.69 qt/ha) and optimum water productivity (2.001 kg/m3) was obtained by scheduling irrigation at 80% ASMDL treatment than others. The lowest grain wheat yield (26.44 qt/ha) and lowest water productivity (1.716 kg/ha) was obtained by scheduling irrigation at 140% ASMDL treatment. Therefore, scheduling irrigation at 80% ASMDL (at p=0.4) has been recommended for wheat with 5 day, 7 day, 5 day and 12 day irrigation interval at initial, development, mid and maturity stage of wheat respectively in the study area and same agro-ecology.

Published in Hydrology (Volume 13, Issue 3)
DOI 10.11648/j.hyd.20251303.12
Page(s) 200-205
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

Irrigation Interval, Optimum Water Demand, Wheat

1. Introduction
Soil moisture monitoring before and after irrigation plays an important role in optimizing irrigation practices, conserving water, improving profit of crop, and preserving soil health . It enables farmers to optimize irrigation timing and water application, resulting in efficient resource use and improved agricultural results. Soil moisture-based irrigation scheduling is a method that uses real-time soil moisture data to determine when and how much to irrigate . Wheat (Triticum aestivum L.) is one of the leading cereals in the world and it is the world’s most widely cultivated crop which ranks first followed by rice . The production of irrigated wheat was started largely in our country Ethiopia to overcome food security problem. The main reasons for low productivity of wheat are improper scheduling of irrigation and poor crop establishment method . About 30% of wheat production is lost due to lack of appropriate irrigation water and 40% yield loss due to lack of nutrient contents in soil .
Irrigation frequency has a significant influence on growth and yield of wheat. Besides rainfall, land type and soil texture are two important factors that determine the status of soil moisture. In light textured soil with high infiltration rate, wheat crop is more vulnerable to moisture stress. Mid-term drought around the heading period is more common. Recently, numerous studies dealing with crop production and water use efficiency under irrigation showed that proper irrigation intervals can increase crop yield, by improving soil water condition and their water use efficiency .
Timely application of irrigation water can avoid over-and under irrigation, hence guaranteeing more optimal growing conditions throughout the season and increasing water productivity . Irrigation schedules based on local environmental conditions, crop and soil type allow more sustainable use of water resources in agriculture. Such irrigation schedules help the farmer to apply the required amount of water to a particular crop at the appropriate time and ensure sustainable agricultural water management .
However, enough irrigation water and nutrient supply can increase yield up to 70% . Irrigation frequency and irrigation interval has a significant influence on the growth and yield of wheat. Proper time of irrigation especially proper irrigation interval is very important for successful growth of wheat and it has a great impact on higher grain yield. Different irrigation interval and frequency can bring significant effect on wheat production . Therefore, the activity was done with the objectives of determining optimum irrigation interval, irrigation frequency and optimum water demand of wheat for better production.
2. Materials and Methods
2.1. Experimental Site Description
The experiment was conducted at Kombolcha District of Estern hararghe zone of Oromia on Kombolcha Polytechnic College located at 09° 25’ 50’’ of north latitude, and 42°10’ 20’’ east longitude with elevation of 2160 m a.s.l. It has erratic and uneven in distribution of rainfall, with mean minimum and maximum temperatures of 10°C and 27.8°C, respectively. The sources of irrigation water was manually drilling tube well.
2.2. Experimental Design
The experiment was laid out in Randomized Complete Block Design (RCBD) consisting of five treatments with three replication. The treatment combination were five soil moisture depletion level (SMDL) which determine the irrigation scheduling of wheat based on FAO recommended allowable soil moisture depletion (ASMDL). There were 15 experimental plots and the space between each plot and block were 2 m respectively. Shorima wheat variety was used as crop material.
Table 1. The arrangement of treatment based on different soil moisture depletion level.

Treatment

Treatment Description

SMDL1

60% of ASMDL

SMDL2

80% of ASMDL

SMDL3*

100% of ASMDL *

SMDL4

120% of ASMDL

SMDL5

140% of ASMDL

Where; SMDL- soil moisture depletion level, ASMDL- allowable soil moisture depletion level
2.3. Furrow and Ridge Preparation Method
At the beginning of the experiment the land was plowed and leveled using a tractor to make it suitable for laying the experiment and to create a suitable slope for the experiment. After the land was level, furrow preparation was done with furrow maker spaced at 60 cm using a tractor. Then after the land was prepared well, furrow and ridge was made by tractor as recommended dimension. Furrow spacing was 60 cm, wheat row spacing was 20 cm and width of channel of furrow was 40 cm. The wheat was planted on two sides of ridges so that one furrow or which used as irrigation canal was irrigated two rows of wheat. UREA and NPS was the two fertilizers applied equally for each treatment with a rate of 150 kg/ha and 100 kg/ha, respectively. The fertilizer dose per plot was calculated to plot level and applied for each plot. Weeding was done as required as any weed in the field seen.
2.4. Determination of Crop Water Requirement of Wheat
Long term climatic data records such as rainfall, maximum and minimum temperature, wind speed, relative humidity, and sunshine hours was collected from the nearest meteorological station for determination of wheat water requirements. Reference evapotranspiration (ETo) of wheat was computed using CROPWAT model version 8.0 . The CROPWAT model calculates ETo based on the formula of FAO Penman-Monteith method. Evapotranspiration of the crop was determined by multiplying the crop coefficient (Kc) of the crop by the reference evapotranspiration (ETo). Crop coefficient was collected from FAO Irrigation and Drainage Paper 56 for wheat. Based on the Kc values of the crop and length of each growth stages, crop coefficient was interpolated for development and late season.
2.5. Irrigation Scheduling
The irrigation scheduling was done based on soil water depletion replenishments. The soil water content was monitored using the gravimetric method and digital smart soil moisture meter (DELTA -HH2 model), just before and after full irrigation to maintain the soil water between allowable depletion level and field capacity.
2.6. Determination of Net Irrigation Water Requirement
In=ETc-PE(1)
Where;
In-Net Irrigation Depth (mm), ETc- The Crop Water Requirement (mm) and Pe -The Effective Rainfall (mm), Effective Rainfall Was Computed Using the Equation, Peff = 0.6 * P - 10 for precipitation less or equal to 70 mm, Peff = 0.8 * P - 24 for precipitation greater than 70 mm, Where Peff - Effective Precipitation (mm) P- Precipitation (mm).
2.7. Gross Irrigation Depth
Irrigation efficiency was taken as 60%, which is common for surface irrigation method in furrow irrigation . Based on the net irrigation depth and irrigation application efficiency, the gross irrigation water requirement was calculated as:
Ig=InEa(2)
Where;
Ig- Gross Irrigation Depth (mm), In-Net Irrigation Depth (mm) and Ea-Furrow Application Efficiency (%).
Time required to irrigate each treatment was calculated from the ratio of volume of applied water to the discharge-head relation of 3-inch PF. The time required to deliver the desired depth of water into each furrow was calculated using equation given by .
T=Ig*W*L6Q(3)
Where; Ig = gross depth of water applied (cm), T = Application Time (min), W= Space of Furrow of the Plot (m), L= Length Furrow of the Plot (m) and Q= Flow Rate (l/s).
2.8. Water Productivity
Water productivity is defined as crop yield per unit volume of water supply to the crops. In this study crop water productivity was estimated as the ratio of onion and potato yield to the total irrigation depth applied during the season. It is expressed as:
Wp=YW(4)
Where, Y is onion and potato yield (kg/ha) and W is irrigation depth applied during the season (m3/ha).
2.9. Data Analysis
The data were subjected t o analysis of variance (ANOVA) using GenStat software. Treatment means were compared using the least significant difference (LSD) at 5% level of probability.
3. Result and Discussion
3.1. Analysis of Soil Property of Experimental Site for CWR Input
Soil physical property used for CropWat input used for determination crop water requirement of wheat was analyzed at Haramaya University soil laboratory. The result of soil physical property analysis shown that the average composition of sand, clay, and silt percentages was 43.5, 31.25, and 25.25, respectively. Thus, according to the USDA soil textural classification, the particle size distribution of the experimental site revealed that the soil textural class is clay loam. Bulk density of experimental site was found between the range of 1.13 g/cm3 -1.31 g/cm3.
Table 2. Soil physical property of experimental site.

D(cm)

Sand

clay

silt

Textural class

BD (g/cm3)

FC (%)

PWP (%)

TAW in (mm/m)

0-15

47

27

26

Sandy clay loam

1.31

32.60

18.20

28.29

15-30

43

30

27

Clay loam

1.20

31.20

16.00

27.36

30-45

43

33

24

Clay loam

1.13

34.40

15.20

28.80

45-60

41

35

24

Clay loam

1.14

40.30

16.80

40.18

Total available water in effective root zone of mm/m

124.63

3.2. Wheat Irrigation Scheduling Applied Based on SMDL Treatment
Different irrigation scheduling (irrigation interval and irrigation frequency) was determined based on different soil moisture depletion treatments.
Table 3. Wheat irrigation scheduling determined at different growth stage.

Treatments

Depletion fraction (P)

Irrigation frequency

Irrigation interval

Water used (m3/ha)

Initial

Dev

Mid

End

60% of ASMDL

0.3

20

4

6

5

11

4095.00

80% of ASMDL

0.4

17

5

7

5

12

3471.60

100% of ASMDL*

0.5

15

5

8

6

13

3181.60

120% of ASMDL

0.6

11

7

10

9

14

2950.00

140% of ASMDL

0.7

9

8

13

12

15

2568.00

Where, ASMDL - allowable soil moisture depletion level
The result shown that, maximum irrigation frequency and maximum irrigation water was applied by 60% ASMDL treatment. The result in agreement with the finding of who report that maximum number of irrigation is applied when it irrigated closely. Minimum irrigation frequency and minimum water was applied by 140% ASMDL treatment. A narrow irrigation interval was applied by 60% ASMDL and elongated irrigation interval was applied by 140% ASMDL. Optimum or medium irrigation interval was obtained by scheduling irrigation at 80% ASMDL treatment than the others.
3.3. Effect of Soil Moisture Depletion Level on Wheat Yield and Yield Component
Yield and yield components of wheat was significantly affected by scheduling irrigation at different soil moisture depletion treatments. Yield of what was affected as crop is more stressed meaning that when irrigation interval is elongated.
Table 4. Effect of soil moisture depletion level on wheat yield and yield component.

Treatments

Plant height (cm)

No of tiller per plant

Grain Yield (qt/ha)

Straw Yield (qt/ha)

60%ASMDL

69.33 a

5.000 a

44.22 a

48.42 a

80%ASMDL

64.67 b

4.333 b

41.69 ab

45.50 b

100%ASMDL

63.17 c

4.000 b

39.67 b

42.83 c

120%ASMDL

55.77 d

3.167 c

34.11 c

40.42d

140%ASMDL

46.67 e

2.000 d

26.44 d

31.17e

CV

1.9

13.3

6.2

1.5

LSD

1.365

0.5876

2.755

0.735

Note Mean with the same letter is not significantly different
The above ANOVA table show that, maximum plant height, number of productive tillers, straw yield and grain yield was obtained by 60% ASMDL treatment. The finding is in line with the result report as maximum yield is obtained when wheat is closely irrigated . The finding is also in line with the result report as more wheat grain yield is obtained with short interval irrigation . The result implies that, as irrigation water is applied more frequently and in short interval the wheat produce more tiller which leads to maximum grain yield. The result is in agreement with the finding reported as, the highest wheat grain yield (4,959 kg ha-1) was obtained scheduling irrigation at 60% of ASMDL .
The result indicates that, statistically there is no significance difference between 80% ASMDL and 100% ASMDL treatments in terms of grain yield. Minimum plant height, number of productive tillers, straw yield and grain yield was obtained by 140% ASMDL treatment. The result shown that, both plant height and straw yield were decreased as irrigation frequency decreased and vice versa.
Effect of soil moisture depletion level on water productivity
Irrigation water productivity was also significantly affected by scheduling irrigation at different soil moisture depletion treatments.
Maximum water productivity (2.078 kg/m3) was obtained at scheduling irrigation at 100 % ASMDL. Statistically there is no significance difference between 80% ASMDL and 100% ASMDL in terms of water productivity. Minimum water productivity was obtained by scheduling irrigation at 140% ASMDL.
Table 5. Effect of soil moisture depletion level on water productivity.

Treatments

Grain Yield (qt/ha)

WP (kg/m3)

60% of ASMD

44.22 a

1.800 cd

80% of ASMD

41.69 ab

2.001 ab

100% of ASMD

39.67 b

2.078 a

120% of ASMD

34.11 c

1.914b c

140% of ASMD

26.44 d

1.716 d

CV

6.2

6.2

LSD

2.755

0.140

3.4. Effect of Irrigation Scheduling on Ky and Yield Reduction of Wheat
The yield response to different irrigation scheduling is also affected as the wheat is more stressed and irrigation interval far apart from each other’s.
The result show that, yield response factor (Ky) was greater than one at both 120% ASMDL and 140% ASMDL treatments. When ky is greater than one, it mean that, there is significance reduction on yield due to treatments. The yield reduction in terms of percentage was also high at those treatments, which implies that, the irrigation scheduling bring significant yield reduction on yield.
Table 6. Effect of irrigation scheduling on Ky and yield reduction of Wheat.

Treatments

Yield (qt/ha)

Yield reduction (%)

Yield response factor Ky

60% ASMDL

44.22 a

-

-

80% ASMDL

41.69 ab

-

-

100% ASMDL*

39.67 b

*

*

120% ASMDL

34.11 c

14.01

1.923

140% ASMDL

26.44 d

33.35

1.730

4. Conclusion and Recommendation
The result on effect of different irrigation schedule on Wheat yield indicate that, there was significance difference between treatments. The result show that, optimum grain yield (41.69 qt/ha) and optimum water productivity (2.001 kg/m3) was obtained by scheduling irrigation at 80% ASMDL treatment than others. The lowest grain wheat yield (26.44 qt/ha) and lowest water productivity (1.716 kg/ha) was obtained by scheduling irrigation at 140% ASMDL treatment. Therefore, scheduling irrigation at 80% ASMDL (at p=0.4) has been recommended for wheat with 5 day, 7 day, 5 day and 12 day irrigation interval at initial, development, mid and maturity stage of wheat respectively in the study area and same agro-ecology.
Abbreviations

ASMDL

Allowable Soil Moisture Depletion Level

WP

Water Productivity

BD

Bulk Density

ETo

Reference Evapotranspiration

FAO

Food and Agricultural Organization

FC

Field Capacity

ha

Hectare

kg

Kilogram

PWP

Permanent Wilting Point

qt

Quintal

TAW

Total Available Water

ANOVA

Analysis of Variance

Conflicts of Interest
The authors declare no conflicts of interest.
References
[1] Anderson, R. G., & French, A. N. (2019). Crop evapotranspiration. Agronomy, 9(10).
[2] Faurès, J.-M., Hoogeveen, J., & Bruinsma, J. (2002). the Fao Irrigated Area Forecast for 2030. FAO, Rome Italy, 1-14.
[3] Islam, S., Haque, M., Hasan, M., Khan, A., & Shanta, U. (2018). Effect of different irrigation levels on the performance of wheat. Progressive Agriculture, 29(2), 99-106.
[4] Michael, T. P., Mockler, T. C., Breton, G., McEntee, C., Byer, A., Trout, J. D., Hazen, S. P., Shen, R., Priest, H. D., Sullivan, C. M., Givan, S. A., Yanovsky, M., Hong, F., Kay, S. A., & Chory, J. (2008). Network discovery pipeline elucidates conserved time-of-day-specificcis-regulatory modules. PLoS Genetics, 4(2).
[5] Pathak, Srivastava, Madhwendra Mukesh Kumar Kumar RP, Singh. Roadblocks to hybrid wheat seed production: An analysis of constraints. Asian Journal of Advances in Agricultural Research. 2024;24(4):1-6. Available:
[6] Raes, D., Geerts, S., Kipkorir, E., Wellens, J., & Sahli, A. (2006). Simulation of yield decline as a result of water stress with a robust soil water balance model. Agricultural Water Management, 81(3), 335-357.
[7] Raes, D., Sithole, A., Makarau, A., & Milford, J. (2004). Evaluation of first planting dates recommended by criteria currently used in Zimbabwe. Agricultural and Forest Meteorology, 125(3-4), 177-185.
[8] R. J. Patel1 and H. D. Rank (2020). Water use efficiency of wheat under different irrigation regimes using high discharge drip irrigation system. Journal home:
[9] Samuel Lindi*, Bakasho Eticha, Mehiret Hone and Kassu Tadesse (2022). Wheat (Triticum aestevum L.) Response to Soil Moisture Stress Condition at Kulumsa, Arsi Zone, Ethiopia.
[10] Schattman, R. E., Jean, H., Faulkner, J. W., Maden, R., McKeag, L., Nelson, K. C., Grubinger, V., Burnett, S., Erich, M. S., & Ohno, T. (2023). Effects of irrigation scheduling approaches on soil moisture and vegetable production in the Northeastern U.S.A. Agricultural Water Management, 287(June), 108428.
[11] Steduto, P., Hsiao, T. C., Raes, D., & Fereres, E. (2009). Aquacrop-the FAO crop model to simulate yield response to water: I. concepts and underlying principles. Agronomy Journal, 101(3), 426-437.
[12] Soulé, Abdelkader Mahamane, Auwalu Bindawa Mansur, Zaman Allah Mainassara, Issoufou Salami, and Soumana Souley. 2024. “Effect of Sowing Date and Irrigation Frequency on Wheat (Triticum Aestivium L) Production in Southern Niger Republic”. Journal of Agriculture and Ecology Research International 25(4): 12-20.
[13] Tehulie, N. S. (2021). Effect of Seed Rate and Irrigation Interval on Yield Components and Yield of Bread Wheat (Triticum aestivum L.) at Mekane Selam District, South Wollo, Ethiopia. Journal of Biology, Agriculture and Healthcare, April.
[14] Torrion JA, Stougaard RN. Impacts and limits of irrigation water management on wheat yield and quality. Crop Science. 2017; 57: 3239-3251.
[15] Uddin, K., Murthy, M. S. R., Wahid, S. M., & Matin, M. A. (2016). Estimation of Soil Erosion Dynamics in the Koshi Basin Using GIS and Remote Sensing to Assess Priority Areas for Conservation. PLoS ONE, 11(3).
Cite This Article
  • APA Style

    Ofga, L., Nur, J. (2025). Determination of Irrigation Interval and Optimum Water Demand of Wheat at Eastern Hararghe zone of Oromia. Hydrology, 13(3), 200-205. https://doi.org/10.11648/j.hyd.20251303.12

    Copy | Download

    ACS Style

    Ofga, L.; Nur, J. Determination of Irrigation Interval and Optimum Water Demand of Wheat at Eastern Hararghe zone of Oromia. Hydrology. 2025, 13(3), 200-205. doi: 10.11648/j.hyd.20251303.12

    Copy | Download

    AMA Style

    Ofga L, Nur J. Determination of Irrigation Interval and Optimum Water Demand of Wheat at Eastern Hararghe zone of Oromia. Hydrology. 2025;13(3):200-205. doi: 10.11648/j.hyd.20251303.12

    Copy | Download

  • @article{10.11648/j.hyd.20251303.12,
      author = {Lalisa Ofga and Jemal Nur},
      title = {Determination of Irrigation Interval and Optimum Water Demand of Wheat at Eastern Hararghe zone of Oromia
    },
      journal = {Hydrology},
      volume = {13},
      number = {3},
      pages = {200-205},
      doi = {10.11648/j.hyd.20251303.12},
      url = {https://doi.org/10.11648/j.hyd.20251303.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.hyd.20251303.12},
      abstract = {Soil moisture based application of irrigation water is crucial for obtaining optimum irrigation scheduling of crop. The objectives of this study were determining optimum irrigation interval, irrigation frequency and optimum water demand of wheat for better production. The result indicates that maximum irrigation frequency and maximum irrigation water was applied by 60% ASMDL. Minimum irrigation frequency and minimum water was applied by 140% ASMDL treatment. A narrow irrigation interval was applied by 60% ASMDL and elongated irrigation interval was applied by 140% ASMDL. The result show that, maximum plant height, number of productive tillers, straw yield and grain yield was obtained by 60% ASMDL treatment. The result indicates that, statistically there is no significance difference between 80% ASMDL and 60% ASMDL treatments in terms of wheat grain yield. The result implies that, as irrigation water is applied more frequently and in short interval the wheat produce more tiller which leads to maximum grain yield. Maximum water productivity (2.078 kg/m3) was obtained by scheduling irrigation at 100% ASMDL. Statistically there is no significance difference between 80% ASMDL and 100% ASMDL in terms of water productivity. Minimum water productivity was obtained by scheduling irrigation at 140% ASMDL. The result show that, optimum grain yield (41.69 qt/ha) and optimum water productivity (2.001 kg/m3) was obtained by scheduling irrigation at 80% ASMDL treatment than others. The lowest grain wheat yield (26.44 qt/ha) and lowest water productivity (1.716 kg/ha) was obtained by scheduling irrigation at 140% ASMDL treatment. Therefore, scheduling irrigation at 80% ASMDL (at p=0.4) has been recommended for wheat with 5 day, 7 day, 5 day and 12 day irrigation interval at initial, development, mid and maturity stage of wheat respectively in the study area and same agro-ecology.
    },
     year = {2025}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Determination of Irrigation Interval and Optimum Water Demand of Wheat at Eastern Hararghe zone of Oromia
    
    AU  - Lalisa Ofga
    AU  - Jemal Nur
    Y1  - 2025/10/18
    PY  - 2025
    N1  - https://doi.org/10.11648/j.hyd.20251303.12
    DO  - 10.11648/j.hyd.20251303.12
    T2  - Hydrology
    JF  - Hydrology
    JO  - Hydrology
    SP  - 200
    EP  - 205
    PB  - Science Publishing Group
    SN  - 2330-7617
    UR  - https://doi.org/10.11648/j.hyd.20251303.12
    AB  - Soil moisture based application of irrigation water is crucial for obtaining optimum irrigation scheduling of crop. The objectives of this study were determining optimum irrigation interval, irrigation frequency and optimum water demand of wheat for better production. The result indicates that maximum irrigation frequency and maximum irrigation water was applied by 60% ASMDL. Minimum irrigation frequency and minimum water was applied by 140% ASMDL treatment. A narrow irrigation interval was applied by 60% ASMDL and elongated irrigation interval was applied by 140% ASMDL. The result show that, maximum plant height, number of productive tillers, straw yield and grain yield was obtained by 60% ASMDL treatment. The result indicates that, statistically there is no significance difference between 80% ASMDL and 60% ASMDL treatments in terms of wheat grain yield. The result implies that, as irrigation water is applied more frequently and in short interval the wheat produce more tiller which leads to maximum grain yield. Maximum water productivity (2.078 kg/m3) was obtained by scheduling irrigation at 100% ASMDL. Statistically there is no significance difference between 80% ASMDL and 100% ASMDL in terms of water productivity. Minimum water productivity was obtained by scheduling irrigation at 140% ASMDL. The result show that, optimum grain yield (41.69 qt/ha) and optimum water productivity (2.001 kg/m3) was obtained by scheduling irrigation at 80% ASMDL treatment than others. The lowest grain wheat yield (26.44 qt/ha) and lowest water productivity (1.716 kg/ha) was obtained by scheduling irrigation at 140% ASMDL treatment. Therefore, scheduling irrigation at 80% ASMDL (at p=0.4) has been recommended for wheat with 5 day, 7 day, 5 day and 12 day irrigation interval at initial, development, mid and maturity stage of wheat respectively in the study area and same agro-ecology.
    
    VL  - 13
    IS  - 3
    ER  - 

    Copy | Download

Author Information
  • Fadis Agricultural Research Center, Oromia Agricultural Research Institute, Harar, Ethiopia

  • Fadis Agricultural Research Center, Oromia Agricultural Research Institute, Harar, Ethiopia

  • Abstract
  • Keywords
  • Document Sections

    1. 1. Introduction
    2. 2. Materials and Methods
    3. 3. Result and Discussion
    4. 4. Conclusion and Recommendation
    Show Full Outline
  • Abbreviations
  • Conflicts of Interest
  • References
  • Cite This Article
  • Author Information