Assessment and Technical Constraint Identification of Smallholder Irrigation Pump in Arsi and East Shewa Zone, Oromia
Bayan Ahmed 1
1 Oromia
Agricultural Research Institute, Asella Agricultural Engineering Research
Center, P.O Box 6, Asella, Oromia, Ethiopia
|
ABSTRACT |
||
Efficient
irrigation begins with properly installed and maintained pumps, motors, and
engines. For this, the study was conducted on potential irrigation pump users
of the Arsi and East Shewa zones with the objective of identifying the
technical constraints of smallholder irrigation pump users. Doddota from Arsi and Dugda and
Bora woreda from the East Shewa zone were selected. 211 samples size from
2321 pump users were used for data collection. The constraints listed by
respondents, like pump damage, pump cost, long priming, and fuel, were the
most common bottlenecks in pump irrigation schemes. Pump damage was
positively correlation with use of un-recommended suction and delivery head,
age of pump, long priming time and continues operation time but negatively
correlation with pump maintenance, experience in irrigation farming and
educational level of the household. Long priming and fuel consumption was
positively (+Ve) correlation with use of un-recommended suction and delivery
head, age of pump, operation time and pump size. From the existing pump type
respondent responses, KAMA pumps were highly available on the market,
vulnerable to damage, and had sufficient spare parts with values of 60.66,
64.45 and 44.08%, respectively. The lowest were Cushion their values were
1.42%, 3.32% and 3.78%, respectively. The respondents also reply, due to
absence of governmental pump maintaining organization, cost of maintenance at
local and private garage were very expensive (68.25%) and expensive (26.07%).
This makes another problem on small holder irrigation pump. Therefore, it is
recommended to government to add pump maintaining structure at engineering
center which serves' closely to scheme users and providing regular training
on maintenance checklist. It is also recommended for engineering and
socio-economic researchers to conduct research collaboratively to assess the
gap frequently for other kebele pump user and technical performance
evaluation for pump that have problems. |
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Received 20 August 2024 Accepted 21 September 2024 Published 28 October 2024 Corresponding Author Bayan
Ahmed, bayahm@gmail.com DOI 10.29121/IJOEST.v8.i5.2024.641 Funding: This research
received no specific grant from any funding agency in the public, commercial,
or not-for-profit sectors. Copyright: © 2024 The
Author(s). This work is licensed under a Creative Commons
Attribution 4.0 International License. With the
license CC-BY, authors retain the copyright, allowing anyone to download,
reuse, re-print, modify, distribute, and/or copy their contribution. The work
must be properly attributed to its author. |
|||
Keywords: Constraint,
Delivery Head, Suction Head, Irrigation, Pump, Poverty |
1. INTRODUCTION
Increasing agricultural productivity through irrigation technologies is recognized as an effective way to improve smallholders’ livelihoods and food security in developing countries Tesfaye et al. (2021). Smallholder irrigation expansion would significantly increase agricultural production and reduce food insecurity and poverty levels in East Africa. The adoption of small-scale irrigation technology had unprecedented advantages for smallholder farmers to reduce poverty. It increases use of available water sources to get higher income and improves the livelihood of farmers Mohammed & Shallo (2020) Teha & Jianjun (2021). , and Mume et al. (2023). Use of small-scale irrigation (SSI) technology has significant potential to increase crop productivity in Sub Saharan Africa (SSA). Pumped irrigation systems are one of the technologies increasingly being used by smallholder farmers Kamwamba et al. (2016). Recently, individual irrigation technologies such as different motorized pumps, drip and sprinkler, treadle pumps, rope and washer pumps are being promoted. Adoption of these technologies and expansion of smallholder irrigation however face a number of challenges Kamwamba et al. (2016), Teha & Jianjun (2021).
Currently, government of Ethiopia put wheat initiative plan in structural, economic and sectorial reforms, for food security, raw material for the agro-industry, import substitution that transits to export and job creation along the value chain Effa et al. (2023). With high potential demand to irrigation pump technologies, still there are number of problems in selection for agricultural production improvements Teha & Jianjun (2021). Lack of access to appropriate irrigation technologies, improved agricultural inputs, reliable markets, finance and credit services, and research support; poor transport and communication infrastructures; poor irrigation water management; poor extension systems; and the overdependence on national governments, NGOs and donors for support were some of the problems Nakawuka et al. (2018).
Efficient irrigation begins with properly installed and maintained pumps, motors, and engines. Equipment problems and management problems tend to go hand in hand. Equipment that is badly designed or poorly maintained reduces the irrigator’s degree of control over the way water is applied. Problems like irregular water distribution and inadequate pressure make it impossible to maintain correct soil moisture levels, leading to crop stress, reduced yields, wasted water, runoff, soil erosion, and many other problems Morris et al. (2006). Conflict between members of Farmers Irrigation Water Use Association (FIWUA), unavailability and lack of access to spare parts, topography of the district, irrigation technology technician and lack of skill were among the constraining factors found to hinder water pump irrigation technology adoption and use Teha & Jianjun (2021).
Examining those constraints and planning to solve accordingly is one of the ways that the government and NGOs could address. From this critical assessment, this study was conducted with the objective to assess technical constraint identification problem of smallholder irrigation pump user at Arsi and West Arsi zone of Oromia region.
2. MATERIALS AND METHODS
2.1. Description of the Study Area
Figure 1
Figure 1 Study Area Map |
The study was conducted at Doddota district from Arsi zone and Boru, and Dugda district from East Shewa zone depending on high potential user of irrigation pump.
2.2. Method of sampling and data collection
To achieve the research objective primary and secondary data collection technique was applied. Primary data was collected from the sample of rural households using a structured questionnaire and secondary data was collected from zonal and district level offices of published and unpublished materials, reports, proceedings and statistical abstracts about the study area. The cluster-based samplings technic were followed to collect from districts expert and user of water pump members. All district nominated expert were interviewed. But for irrigation house hold user the sampling technique were used as stated in equation (1)
Where: n = is the sample size,
N = is total size of Kebele water pump user and
e = the level of precision it is 7%
Samples from each kebele were proportional to the population were determined as stated by (Bowley, 1925)
where,
ni is the sample to be selected from the ith kebele; Ni The total population living in ih kebele; ∑Ni The summation of the population in the six selected kebeles; n—Total sample size for the district.
Table 1
Table 1 Manufacturer Pump Capacity |
|||||||
Inch No |
Pump Name and model |
Suction Head (m) |
Total Head (m) |
Discharge (m3/h) |
Priming Head |
Pump Weight (kg) |
Fuel consuption (l/hr) |
2 |
Kushion (kd300) |
8 |
32 |
7.5m/150s |
50.8 |
||
Honda |
8 |
32 |
50.8 |
||||
KAMA (Kdp20) |
8 |
21 |
22 |
80s/4m |
35 |
0.342 |
|
Robin |
8 |
46 |
36 |
25 |
|||
Eagle (EG150) |
8 |
23 |
26 |
23 |
|||
3 |
Kushion (kd300) |
8 |
25 |
53.8 |
1.4 |
||
Honda |
8 |
25 |
53.8 |
||||
KAMA (Kdp30) |
8 |
29 |
30 |
120s/4m |
52 |
0.339 |
|
Robin |
8 |
32 |
60 |
28 |
|||
Eagle (EG200) |
8 |
25 |
33 |
25 |
|||
4 |
Kushion (kd300) |
8 |
36 |
||||
Honda |
8 |
36 |
|||||
KAMA (Kdp40) |
8 |
40 |
46 |
180s/4m |
69 |
0.334 |
|
Robin |
8 |
46 |
|||||
Eagle (EG200) |
8 |
34 |
2.3. Statistical analysis
Data collected through irrigation pump user interview were analyzed by SPSS software package using descriptive statistical such as frequency, percentage; maximum, minimum, mean and standard deviations were used.
3. RESULTS AND DISCUSSIONS
Population and sample size of household irrigation pump user
The total number of irrigation pump user from Awash, Koro Dagaga, Koka Nagawo, Ejersa Koro, Bekela Girisa and Wolda Qellina were 2,321 and 187 sample size were calculated. But to minimize the error in contigance 22 samples were included. Totally 211 samples were used for analysis Table 2.
Table 2
Table 2 Number of Sampling Respondant from Two Zone |
||||
Zone |
District |
Kebele |
Population size |
Sample size |
Arsi |
Dodota |
Awash |
750 |
61 |
|
|
Koro Dagaga |
338 |
34 |
East Shewa |
Lume |
Koka Nagawo |
380 |
30 |
|
|
Ejersa koro |
200 |
20 |
|
Dugda |
Bekela Girisa |
320 |
33 |
|
|
Wolda Qellina |
333 |
33 |
Total |
|
|
2,321 |
211 |
3.1. Demographic characteristics of respondents
91.9% of respondent were male and 8.1% were female Table 3. The education level of respondent for grade completed was 32.7%, 59.2% can read and write and only 8.1% were uneducated. Most of the respondents have very good experience in irrigation agriculture about 81.1%. The major crops produced during irrigation season were - onion, tomato, wheat, maize and papaya have taken rank orderly.
Table 3
Table 3 Socio-Economic and Demographic Characteristics of Respondents |
|||
Variables |
Dummy |
Frequency |
Percent (%) |
Gender |
Male |
194 |
91.9 |
Female |
17 |
8.1 |
|
Educational level |
Uneducated |
17 |
8.1 |
Read and write |
125 |
59.2 |
|
Grade completed |
69 |
32.7 |
|
Irrigation
agricultural experience |
Very good |
171 |
81.1 |
Good |
40 |
19 |
|
Major crop produced by irrigation |
Onion |
55 |
26.1 |
Potato |
3 |
1.4 |
|
Wheat |
18 |
8.5 |
|
Tomato |
30 |
14.2 |
|
Maize |
32 |
15.2 |
|
Onion and tomato |
17 |
8.1 |
|
Maize and papaya |
35 |
16.6 |
|
Wheat and onion |
8 |
3.8 |
|
Wheat and tomato |
12 |
5.7 |
|
Source Survey study, 2023 |
3.2. Land allocation and family size of respondent HH
The minimum and maximum lands allocated for irrigation were 0.25 and 5 ha respectively with mean of 1.24 ha Table 4
Table 4
Table 4 Family Size and Land Allocation |
|||||
N |
Minimum |
Maximum |
Mean |
Std. Deviation |
|
Total family size |
211 |
1 |
10 |
4.78 |
2.27 |
Total cultivated land
(ha) |
208 |
0 |
5.00 |
1.40 |
1.07 |
Land allocated for
irrigation (ha) |
208 |
.25 |
5.00 |
1.24 |
1.13 |
Total land (ha) |
207 |
.25 |
6.00 |
2.26 |
1.41 |
Source Survey study, 2023 |
3.3. Method of irrigation and limiting pump use
Furrow irrigation was used, by using pump as water lifting. Three inch (65.9%) and four inch (27.5%) pumps were mostly used by the community. This indicated financial of HH, fuel cost and price of pump limited to use large size of pump.
Table 5
Table 5 Water Lifting Pump and Limiting Factor |
|||
Variables |
Dummy |
Frequency |
Percent (%) |
Method of irrigation to use |
Furrow |
211 |
100 |
Pump size used |
3 inch |
139 |
65.9 |
4 inch |
58 |
27.5 |
|
6 inch |
10 |
4.7 |
|
8 inch |
4 |
1.9 |
|
Limiting factor for pump user |
Fuel |
127 |
60.2 |
Pump |
63 |
29.9 |
|
Pipe |
6 |
2.8 |
|
Hose |
1 |
0.5 |
|
Hose pipe and fuel |
6 |
2.8 |
|
Pump and fuel |
8 |
3.8 |
|
Source Survey study, 2023 |
3.4. Irrigation water source
Four water sources were used to irrigate field. From this, perennial rivers shared 65.4%, irrigation canal 12.3% and bore wall 19.4% Figure 2. This water was pumped from different water depth. The water sources that have depth of water below 8m are about 84.8% and the rest are greater than 8m depth Figure 2.
Figure 2
Figure 2 Water source (a) and Depth of Water Pump (b) |
3.5. On farm practice of farmers with pump observation
The farmer’s response on pump suction practice on different head was tabulated in Table 6 below. From this table the suction head user above 8m were 9%. This show, user were using above recommended suction head of manufacture. This resulting temperature rise, more fuel conception, low live span of pump, long priming.
Table 6
Table 6 Farmers Response on Pump Suction Practice |
|||
Variables |
Dummy |
Frequency |
Percent (%) |
Suction head of HH pump |
<3 m |
39 |
18.5 |
3-8 m |
153 |
72.5 |
|
9-12 m |
18 |
8.5 |
|
13-16 m |
1 |
0.5 |
|
Dalliance in delivery when suction head greater than 8m |
Yes |
182 |
86.3 |
No |
29 |
13.7 |
|
Priming time of pump too long |
Yes |
177 |
83.89 |
No |
34 |
16.11 |
|
Time take to complete priming |
2-5 min |
46 |
21.8 |
6-10 min |
22 |
10.4 |
|
11-15 min |
22 |
10.4 |
|
>15 min |
112 |
53.1 |
|
Cause of long priming |
Pump is far from water
source |
22 |
10.4 |
Delivery head too high |
3 |
1.4 |
|
Leakage of suction
line |
16 |
7.6 |
|
Too freeze |
1 |
0.5 |
|
Size of pipe and pump
capacity not fit |
4 |
1.9 |
|
All |
24 |
11.4 |
|
Observations of pump at priming time on pump and pumping unit |
Temperature |
2 |
0.9 |
Fuel combustion |
32 |
15.2 |
|
Relief valve |
15 |
7.1 |
|
Temperature,
fuel combustion and over
load |
33 |
15.6 |
|
Total |
82 |
38.9 |
|
System |
129 |
61.1 |
|
Source Survey study, 2023 |
Correlation effect of fuel conception: As responded response fuel conception was negatively correlated with irrigation interval, education levels and highly significant deferent at (p<0.01). However, positively correlated with manufacturer’s oil and lubrication servicing time and large suction head Table 7
Table 7
Table 7 Correlation Effect of Fuel Conception |
||||||
Irrigation interval |
Educational level |
Land allocated for
irrigation |
delay in delivery head
for greater suction |
Manufacturer’s oil and
lubrication servicing time |
||
Fuel consumption |
Corr |
-.457** |
-.335** |
.171* |
.192** |
.171* |
|
Sig. |
0 |
0 |
0.02 |
0.009 |
0.019 |
*. Correlation is
significant at the 0.05 level **. Correlation is significant at the 0.01 level |
||||||
Source Survey study, 2023 |
Correlation effects on pump priming: Priming time of pump was positively correlation with fuel conception, suction head, pump size, delivery head and age of pump Table 8 Also priming time was highly significant different at (p≤ 0.01) with size of pump. These show large size pumps have long prime time than small size pump. This result agrees with manufacturer manual Table 1
Table 8
Table 8 Pump Priming |
||||||
Fuel conception |
Pump size |
delay in delivery head
due to greater suction head |
Delivery head |
Age of pump |
||
Priming time of pump |
Corr. |
0.77 |
.517** |
0.146 |
0.64 |
0.405 |
Sig. |
0.48 |
0 |
0.179 |
0.59 |
0.338 |
|
**. Correlation is
significant at the 0.01 level |
||||||
Source Survey study, 2023 |
The operation time of pump: Average mean of operation time for 3", 4"and 6" pump were (7.28, 7.09 and 5.8) hr/day and mean age of pump were (5.56, 4.34 and 4.8) years respectively Table 9 Three-inch pump had long operation time and age.
Table 9
Table 9 Age of Pump and Operation Time |
|||
Inch of pump used |
Pump age in year |
Operation time in (hr/day) |
|
3 |
Maximum |
16 |
12 |
Minimum |
1 |
4 hr |
|
Mean |
5.56 |
7.28 |
|
Std. Deviation |
4.16 |
2.47 |
|
4 |
Maximum |
15 |
16 |
Minimum |
1 |
2 |
|
Mean |
4.34 |
7.09 |
|
Std. Deviation |
3.723 |
3.79 |
|
6 |
Maximum |
11 |
> 10 hr |
Minimum |
3 |
6.1-8 hr |
|
Mean |
4.8 |
5.8 |
|
Std. Deviation |
2.394 |
0.632 |
|
Source Survey study, 2023 |
Price of pump
One of the limiting factors to use pump was increment of pump cost from time to time. The most water pump used by farmers were 3-inch pump. The minimum and maximum costs were 3,000 and 40,000 birr respectively Table 10
Table 10
Table 10 Price of pump in (Ethiopian Birr) |
||||
Pump inch |
Maximum |
Minimum |
Range |
Mean |
3 |
40,000 |
3,000 |
37,000 |
16,833.33 |
4 |
70,000 |
7,000 |
63,000 |
29,910.71 |
6 |
4,60,000 |
35,000 |
4,25,000 |
3,75,000.00 |
Source Survey study, 2023 |
Farmer pump maintenance schedule check list
perform
About 30.81% of respondents from four kebeles were not following the daily/monthly/annually pump maintenance checklist. The highest percent of pump maintenance checklist follower were from two Kebele of Dugda district (Bekele Girisa and Wolda Kellina). The lowest were Bora district (Koka and Ejera) kebele Table 11
Table 11
Table 11 Respondent of Maintenance Checklist Follower in Selected Kebele |
||||||||
Variables |
Dummy |
Respondents’ Kebele |
||||||
|
|
Awash |
Koro Dagag a |
Koka Nagawo |
Ejers a koro |
Bekela Giris a |
Wolda Qellin a |
Total |
Daily/monthly/annually
pump maintenance checklist |
|
14.22 |
12.32 |
6.64 |
4.74 |
15.64 |
15.64 |
69.19 |
No % |
14.69 |
2.37 |
7.58 |
4.74 |
0.95 |
0.47 |
30.81 |
|
Maintenance time |
Periodically % |
15 |
12 |
|||||
Randomly % |
46 |
16 |
||||||
Maintain pump during live time |
Yes % |
14.22 |
12.32 |
6.64 |
4.74 |
15.64 |
15.64 |
69.19 |
No % |
14.69 |
2.37 |
7.58 |
4.74 |
0.95 |
0.47 |
30.81 |
|
Duration of pump
before first maintenance |
0-3 month |
11.85 |
0.95 |
2.84 |
3.32 |
5.21 |
1.9 |
26.07 |
4-7 month |
4.27 |
2.37 |
5.21 |
0.95 |
0 |
7.11 |
19.91 |
|
8-11 month |
0 |
0.95 |
1.9 |
0.95 |
5.69 |
1.9 |
11.37 |
|
>= 1yrs |
0 |
0 |
0 |
0.95 |
2.37 |
0 |
3.32 |
|
Oil color |
13.27 |
8.06 |
5.21 |
4.27 |
3.32 |
5.21 |
39.34 |
|
Changing engine oil |
After 2 weeks |
12.8 |
1.42 |
11.37 |
7.58 |
11.85 |
13.27 |
58.29 |
After 3 weeks |
1.9 |
2.37 |
0.95 |
0 |
3.79 |
2.37 |
11.37 |
|
After one month |
8.06 |
10.43 |
2.37 |
2.84 |
0 |
0 |
23.7 |
|
Depending on level of
oil and color change |
6.64 |
0 |
0 |
0 |
0 |
0 |
6.64 |
|
Source Survey study, 2023 |
Determining the engine oil change with irrigation
period and working time
From Table 12, Farmers engine oil change was calculated from irrigation period, working hour and time of engine oil change. Changing engine oil after two week were below and after four week were above manufacturers’ recommendation of 50 hour (Lynne, 2006). But after three week were close to recommendation.
Table 12
Table 12 Farmers Engine Oil Change |
||||
Irrigation period per
week |
Average working hour
per day |
Time of engine oil
change |
Farmers engine oil
change |
Manufacturer engine
oil change |
2 |
8 |
After 2 week |
32 |
|
2 |
8 |
After 3 week |
48 |
50 |
2 |
8 |
After 4 week |
64 |
|
Source Survey study, 2023 |
Status of pump on market
From respondents response, high availability of pump on the market, vulnerable to damage and access to sufficient spare part were Kama, its value were 60.66%, 64.45 and 44.08 respectively Table 13. Moreover, the lowest were Cushion having 1.42%, 3.32% and 3.78% respectively.
Table 13
Table 13 Pump Type |
||||||
Pump type |
Availability on market in % |
Consumption of fuel in % |
More vulnerable to damage in % |
Sufficient spare parts in % |
||
Honda |
8.53 |
5.21 |
4.27 |
10.9 |
||
Eagle |
5.69 |
10.9 |
3.79 |
12.32 |
||
Cushion |
1.42 |
8.06 |
3.32 |
3.79 |
||
Robin |
23.7 |
60.66 |
24.64 |
27.96 |
||
Kama |
60.66 |
15.17 |
64.45 |
44.08 |
||
Bond |
- |
- |
- |
0.95 |
||
Source Survey study, 2023 |
Correlation effect of pump damage and cause
The pump damage was negatively correlated with pump maintenance checklist, educational level of HH and experience in irrigation farming. However, positive correlation with age of pump, suction and delivery head. This show as pump maintenance checklist, Educational level of HH and Experience in irrigation farming increase pump damage decreased and vise vase. As age, suction and delivery head increase damage of pump also increase and vise vase Table 14.
Table 14
Table 14 Correlation Effect of Pump Damage and Cause |
||||||||
Variable |
Age of pump |
Pump maintenance
checklist |
Maintain pump in live
time |
Suction depth |
Size pump used |
Educational level of
HH |
Experience in
irrigation farming |
|
Vulnerable to damage |
Corr. |
0.61 |
-.51** |
-.117 |
0.138 |
.159* |
-.623 |
-.59 |
Sig. |
0.994 |
.000 |
0.107 |
0.238 |
0.028 |
0.091 |
0.74 |
|
|
|
|
|
|
|
|
|
|
*. Correlation is
significant at the 0.05 level **. Correlation is significant at the 0.01 level |
||||||||
Source Survey study, 2023 |
Pump maintaining body and expense of maintenance
Only 4.27% from Koro Nagawo responds there was government organization to maintain the pump but the 95.88% states as no any organization on work or support on this. If there is pump failure, they took to Private Garage and traditional pump maintenance garage. Farmers face the cost incurred for maintenance that about (68.25 and 26.07) % responds as very expensive and expensive respectively Table 15.
Table 15
Table 15 Cost of Maintenance |
||||||||
Variable |
Respondent’s kebele |
Total |
||||||
Awash |
Koro Dagaga |
Koka Nagawo |
Ejersa koro |
bekela Girisa |
Wolda Qellina |
|||
Any organization that maintain pump |
Yes |
0 |
4.27 |
0 |
0 |
0 |
0 |
4.27 |
No |
28.91 |
11.85 |
14.22 |
9.48 |
15.64 |
15.64 |
95.73 |
|
If no, where did
maintain pump |
Private Garage |
19.91 |
10.43 |
11.85 |
7.58 |
9.48 |
15.64 |
74.88 |
Traditional pump
maintainer |
9 |
1.42 |
2.37 |
1.9 |
1.42 |
0 |
16.11 |
|
Cost incurred for
maintenance for last two years. |
Normal |
0 |
1.9 |
0 |
0 |
0 |
0 |
1.9 |
Medium |
1.42 |
0.95 |
0 |
0 |
0 |
0 |
2.37 |
|
Expensive |
3.32 |
5.21 |
2.37 |
0.47 |
7.58 |
7.11 |
26.07 |
|
Very Expensive |
24.17 |
6.64 |
11.85 |
9 |
8.06 |
8.53 |
68.25 |
|
Source Survey study, 2023 |
Farmers support need from government and NGO
To upgrade of irrigation scheme gap the famers gives Training technicians (Engineering work shop technician and IMX) as first rank (30.80%), provision of standard material and equipment (pump) as second (27%), organizing farmers Training water users committee on pump as third Table 16.
Table 16
Table 16 Farmer Need of Supports |
||
Variables |
Frequency |
Percent (%) |
Training technicians
(Engineering work shop technician and IMX) |
65 |
30.8 |
Provision of standard
Material & equipment (pump) |
57 |
27 |
Organizing farmers and
Training water users committee on pump |
37 |
17.5 |
Availing manuals and
guidelines |
8 |
3.8 |
Financial support for
overhead costs |
9 |
4.30 |
Source Survey study, 2023 |
Constraints in utilization of small Holder irrigation
pump
Lack of spare parts, price of spare parts and easiness of the pump for maintenance were the three constraint take rank from one to three as respondent responds
Table 17
Table 17 Constraint/Problem of Pump |
|
Rank |
Constraints |
1st |
Lack of spare parts |
2nd |
High price of spare
parts |
3rd |
Maintenance difficulty |
4th |
High price of pump |
5th |
Difficulty operates of
pump |
6th |
Un availability of
credit services |
7th |
Un durability of the
pump |
8th |
Difficult portability
of the pump |
9th |
Un willingness to use
pump together |
10th |
Un availability of
pump |
Source Survey study, 2023 |
4. CONCLUSION
This study was conducted among potential irrigation pump users in Doddota, Arsi, Dugda, and Bora woreda in the East Shewa zone. The respondents identified pump damage, pump cost, long priming time, and fuel consumption as the biggest challenges in pump irrigation schemes. Pump damage was found to be positively correlated with the use of un-recommended suction and delivery head, pump age, long priming time, and continuous operation time. However, it was negatively correlated with pump maintenance, experience in irrigation farming, and educational level of the household. Long priming time and fuel consumption were also found to be positively correlated with the use of un-recommended suction and delivery head, pump age, operation time, and pump size. Among the different types of pumps, KAMA pumps were reported to have the highest availability on the market but were also vulnerable to damage. Spare parts for KAMA pumps were reported to be sufficient, with a value of 60.66%, 64.45%, and 44.08% respectively. The lowest availability was reported for Cushion pumps, with values of 1.42%, 3.32%, and 3.78% respectively. Respondents also reported that due to the absence of a governmental pump maintenance organization, the cost of maintenance at local and private garages was very expensive (68.25%) and expensive (26.07%) respectively. This poses another problem for small-scale irrigation pump users.
The farmers need supports from GO & NGO to training on pump, provision of standard Material & equipment (pump), organizing farmers, financial support and credit facility for purchase. Therefore, it is recommended to GO to add pump maintaining structure at engineering center which serves' closely to scheme users and providing regular training on maintenance checklist. It is also recommended for engineering and socio economic researchers to conduct research collaboratively to assess the gap frequently for other kebele pump user and technical performance evaluation for pump that have problems.
CONFLICT OF INTERESTS
None.
ACKNOWLEDGMENTS
None.
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