Amsalu Ayana (Ph.D.)
Ethiopian Economic Policy Research Institute (EEPRI) was established in
2000 as a research and publication wing of the Ethiopian Economic Association
(EEA). The Institute aims at
strengthening the research capacity and contributing for resolving development
problems of the country.
EEA/EEPRI issue
papers are intended to stimulate discussions among researchers and policy
makers on current and emerging development issues. Each paper has been exposed to internal
discussion and review process.
Published by:
Ethiopian
Economic Association/
Ethiopian
Economic Policy Research Institute (EEA/EEPRI)
Tel:
251-11-4162121
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E-mail: eea@ethionet.et
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3. Crop Production Extension Package
3.1 Participation in the crop extension package
3.2 Extension information about package programs
3.3 Types of technologies disseminated and used
3.3.3. Organic fertilizers and other soil fertility
ameliorating practices
3.3.5.
Storage structures of agricultural products
3.5 Menu-based extension system
3.6 Yield and production assessment
3.7. Challenges faced in crop production extension package
4. Extension package in natural resources management
4.1 .1 Soil and water conservation
4.1.2 Irrigation and water harvesting
5. Conclusions and Recommendations
6. Implications for Research and Extension Systems
Table
2.1. Sample size (number of households, zones and Woredas by region)
Table
2.2. Sampled households by major types of commodities and region
Table
3.2. Opinion of sampled households about extension package programs (%)
Table
3.3. Sources of firsthand information about extension package for the sampled households (%)
Table
3.4. Kinds of seeds mostly used by the sampled households (%)
Table
3.5. Major sources of seeds for the sampled households (%)
Table
3.7. How often households receive improved seeds of the right variety (%)
Table
3.9. Percentage of sampled households with or without close by seed distribution center
Table
3.12. Mean inorganic fertilizer applied for major cereals during mehar 2003/04 cropping season
Table
3.13. Percentage of sample households who were with or without fertilizer distribution centers
Table
3.15. Percentage of sampled households who store their crop produce before sale
Table
3.16. Major practices used by the sampled households to avoid post-harvest crop losses (%)
Table
3.17. Percentage of households who have participated in menu-based extension system
Table
3.18. Menu-based extension packages in which households have participated (%)
Table
3.23. Mean productivity (Qt/ha) of major cereals when using inorganic fertilizers
Table
3.24. Mean productivity (Qt/ha) of major
cereals when using improved
seeds
Table
3.27. Major problems associated with the use of improved seeds (%)
Table
3.28. Major problems households encountered in purchasing fertilizer (%)
Table
3.29. Percentage of households’ who faced problems in fertilizer marketing
Table
4.4. Percentage of households for which the structure held water
Table
4.5. Percentage of households that used the harvested and stored water for some
purposes
Table
4.6. Purposes for which the harvested water was used (%)
Table
4.10. Major types of irrigation used by the sampled households (%)
Fig.
3.2. Extension packages in which the sampled households have been participated
Annex 2.1. Frequency of sampled households by region zone
and wereda
Annex 3.2. Extension packages in which sampled households
have been participated
Annex 3.3. Percentage of households who used recommended
crop production extension
packages
Annex 3.4. Major
reasons why the participating households abandoned using extension packages (%)
Annex
3.5a. Participating households
evaluation of productivity increment when improved seed was used………………………………………………………………………………………………..70
Annex
3.5b. Participating households
evaluation of productivity increment when fertilizers (Urea
+ DAP) was used …..…………………………………………………………………71
GDP Gross Domestic Product
ADLI Agricultural Development Led Industrialization
ARDU Arsi Rural Development Unit
BBM Broad Bed Maker
CADU Chilalo Agricultural Development Unit
CRDA Christian Relief and Development Association
CSA Central Statistical Authority
DAs Development AgentS
DAP Diammonium Phosphate
ESE Ethiopian Seed
FAO Food and Agricultural Organization
FDRE Federal Democratic
GIS Geographic Information System
HDI Human Development Index
MOFED Ministry of Finance and Economic
Development
MOLSA Ministry of Labor and Social affaris
PADETES Participatory Demonstration and Training
Extension
System
RATES Center for Regional Agricultural Trade
Expansion
Support
SDPRP Sustainable Development and Poverty
Reduction
Program
SG2000 Sasakawa Global 2000
SIDA Swedish International Development Agency
SNNPR South Nations, Nationalities and
Peoples Region
TVET Technical AND VOCATIONAL Education and Training
UNDP United Nations Development Program
WFP World Food Program
Agricultural extension, as an
educational and communication tool, makes a vital contribution to agricultural
production and rural development. Similarly, the results of present study
showed that there was increment in production and productivity whenever
extension packages were used, confirming previous demonstration and adoption
studies. Yet, there was a problem of sustainability and extending the scope of
the extension package in
Improved seed is one of the
primary requirements for enhancing crop productivity and income generation.
Seed security should also be first ensured for ensuring food security to
farmers. However, the results of the present study, in agreement with several
previous studies, revealed that only about 8% of the participating households
used improved seeds and over one-half (54%) of the participating households
used own saved seed, suggesting annual fresh seed purchase to be low; still 30%
of the participating households were not replacing seeds within the acceptable
period of 1-4 years. Further disturbing case is that only about 39% of the
participating households used complete package (improved seed + fertilizer +
improved cultural practices). Incomplete package is not as profitable as
complete package. The levels of participation in high value crops and natural
resources management were also found to be low. The amounts of inorganic
fertilizers used for major crops were found to be about one quintal per
hectare. Ensuring Ethiopian farmers access to quality improved seed timely and
at a reasonable price can only be achieved if there is a vibrant seed supply
system to multiply and distribute the seeds and if mechanisms of getting
effective credit is established. It seems that formal seed system such as ESE
and private seed companies could not significantly do the job in this regard.
Thus, it is recommendable if farmers-based seed production and distribution
mechanism is enhanced at least for open-pollinated crops; with
cooperatives/unions playing a major role in distributing and marketing of
improved seeds. Formal seed system is usually profit-oriented and likes to
operate on principle of economy of scale and deals with a narrow range of crop
species and varieties. However, given the agro-ecological and farming system
diversity of the country no single variety will occupy a wide area of
cultivation. Seed production, distribution and marketing for specific areas
would seem to be possible only under farmers-based seed production and
marketing system. Farmers-based seed production and dissemination should
receive more priority than formal seed sector in view of the fact that no
single variety will have wide adaptation for economically profitable seed
production and distribution by the formal sector. The formal seed sector tends
to focus on a few crops such as wheat and maize and on a few varieties for
which there is a large market, giving less attention to other crops especially
pulses, oilseeds and horticultural crops. Farmers-based seed production and
distribution is also suitable for rural
Cooperatives and unions would also play a major role in seed, fertilizer and pesticides distribution and marketing in the sense that they would have more number of marketing outlets in remote rural areas than the already known companies in this regard. This presumption of more number of distribution and marketing outlets for cooperatives would solve the lack of demand-supply determination in the use of agricultural inputs and the carry-over that the companies are currently facing. Carry-over, for both seeds and fertilizers, is because of poor distribution channels and inadequate demonstration and promotion of newly developed improved varieties, rather than due to lack of demand in actual sense.
Many agricultural research
centers have been established to assist in development efforts by way of
developing and disseminating research-based technologies. Yet, many
agriculturally potential areas and moisture stress areas did not receive
research services. Since agro-ecologies and farming systems are highly varying
in
Along with the supplies of
improved seeds, fertilizers and other agricultural inputs, rural infrastructure
conditions in
In the present study, the participating households in the extension package have rated diseases and insect pests as major production constraints. As a solution to this, diversification of production system is imperative. The diversified production system should involve crop rotation, frequent replacement of varieties of the same crop and effective use of integrated disease, insect pests and weed management. Crop rotation, involving cereals, pulses, oilseeds and horticultural crops, must be practiced to reduce disease, insect and weed incidences as well as to improve soil fertility and to enhance productivity. The present study revealed that high fertilizer price is one of the constraints in using fertilizers and the sampled households were found to apply less than required without also taking into account annual nutrient removal. Practices such as crop rotation, application of green manure and organic fertilizers may compensate for nutrients removed by the previous crop. It is to be noted that organic wastes, manure and biological nitrogen fixation are among the principal sources of nitrogen, which is the most deficient in almost all soils but highly essential for plant growth and development. Conservation-oriented cropping systems such as agro-forestry should be promoted for not only land conservation but also for fodder for livestock and for fuel supply.
The use of BBM
should substantially be increased to improve the drainage problem of vertisols.
Vertisols are the most important soils for agriculture next to nitosols and
cambisols in
Results of the
present study have the following implications for the research and extension systems
of the country.
· Increase the level of awareness of farmers about existing technologies through demonstration, adaptive trials, field days, media, extension manuals and so forth. Further more, farmers research groups, farmers extension groups, farmers training centers, and research-extension farmers advisory council should play a decisive role in ensuring that research and extension activities of the country are based on real and immediate problems and solving local problems. The level and role of farmers’ participation in planning and implementation of research and extension programs should be enhanced so that they develop confidence and eventually adopt the emerging technology.
·
Increase the amount of improved seeds produced
for all categories of crops (all cereals, pulses, oilseeds, horticultural crops
and industrial) rather than concentrating on few varieties of a limited number
of crops, such as only maize and wheat.
· Develop location specific (based on soil type, moisture regime and inherent soil fertility status) fertilizer rates and types and promote wide scale adoption.
· Enhance sustainable cropping system (crop rotation, inter-cropping, double cropping, rely cropping) instead of mono-cropping to improve soil fertility and reduce the building up of diseases, insect pests and weeds.
· Improve linkages among research, extension, farmers and agro-processing industries. Here the role of each must be defined and formalized, at least for such crops like bread and durum wheats, malt barley, canning beans, and soybean.
· Reduce post harvest losses by improving storage structures and processing to add value.
· More number of technologies be developed and disseminated for farmers in the moisture prone areas (arid and semi-arid). This involves opening more number of research centers and testing sites in such areas. Technology development in such areas should focus on integrated technology development and transfer instead of going for piecemeal.
·
Give more research and extension focus on high
value crops such as pulses, oilseeds and horticultural crops, as the present
focus is more on cereals.
The Ethiopian economy is
dominated by agriculture that accounts for 40 to 50% of the total GDP, employs
about 85% of the population and provides close to 90% of the export earnings in
which coffee alone accounts for 60% of the total value of agricultural output
(RATES, 2003; Library of Congress, 2005). Agriculture also provides 70% of raw
materials required for agro-based industries. Within agriculture, crop
production, livestock and forestry as well as related activities contributes
about 60-64%, 23-30% and 10-13% of agricultural GDP ), respectively, (SIDA,
2003; FAO, 2004. Crop production is essentially rainfed; with subsistence
smallholders, accounting for about 95-97% of the agricultural output (FDRE, 2002)
and hence agricultural GDP significantly varies with rainfall patterns (amount
and distribution), registering a trend rate of growth of about 1.8% per annum
during the period 1981/82 to 2002/03 (World Bank, 2004). In contrast, human
population is growing at about 2.9% per year. Indeed, food insecurity in
The agricultural
system is, however, characterized by low technology, low productivity and
natural disasters such as drought and irregular rainfall pattern (including
timing, amount and/or distribution). As a result, the majority of the rural
population is vulnerable to food insecurity and famine. Indeed, poverty is
pervasive, deep and persistent. On the Human Development Index (HDI) of UNDP,
About 74 million hectares (66%) of the total land areas of 111.6 million hectares are arable. However, only 15-22% of these is under cultivation with annual and perennial crops and about 96% of the cultivated land is believed to be under smallholder farming (CRDA, 2000). Cereals are the most important food crops occupying about 76.6% of the total cropped area. Other crops grown include pulses, oil crops, coffee, fruit trees, and cotton.
Despite the
importance of agriculture in the Ethiopian economy and despite
Another major pitfall in the development of Ethiopian agriculture was the less attention given to smallholder agriculture until the 1990s. During the Imperial regime emphasis was given either to industrial development or to the development of big commercial farms. Similarly, during the Derg regime more emphasis was given to big state farms and cooperative farms, which consumed about 95% of agricultural inputs (improved seeds, fertilizers, pesticides and farm implements) but contributed only 5% to the total production. On the other hand, the smallholder agriculture accounted for about 95% of the total area under crops and for more than 90% of the total agricultural output. It also produced 94% of all food crops and 98% of the coffee, whereas the remaining was generated from state and commercial farms (CRDA, 2000).
Over years agricultural production has been affected by fast increasing population, leading to reduced arable land surface per capita, as well as by environmental degradation (manifested by soil removal by sheet and gully erosion, nutrient depletion due to biomass burning, acidity, salinity, water-logging, deforestation, overgrazing, short fallow period, etc.), increasing top soil erosion, and desertification, impacting negatively on overall rainfall cycles resulting in decreasing soil fertility. Deforestation is caused by the cutting of trees to clear land for cultivation, fuel, and construction.
Poor infrastructure as well as
market and marketing development feature prominently as major constraints
impending agricultural development in
Recognizing the
key role of agriculture in the economic welfare of the country and its
associated shortcomings, the Ethiopian government has been engaged in a highly
ambitious effort of rural and agricultural development. To this effect, the
much-proclaimed ADLI strategy was put in place to guide the economic
development of the country since the early 1990s. Rural development led by
agricultural growth is also one of the pillars of the
Unlike previous development policy and strategies, ADLI gives strong emphasis to raising the productivity of smallholder farmer to make agriculture a strong foundation for the final industrial development. The rural and agricultural sector is viewed as the focal point of development for several reasons (Addis Tribune, 1995): First, since 85% of the country’s population is located in the rural areas and engaged in agriculture, mobilizing the country’s resources for fast development requires working with the rural population to improve agricultural productivity; second, a broad-based development strategy which shares the benefits of development among is necessary to maintain peace and ongoing support for the development process; third, a focus on increasing rural and agricultural productivity is the key to finding a lasting solution to Ethiopia’s chronic famine problem. Other parts of the economy will also benefit from faster growth in the agricultural sector in that the urban population will have access to cheaper food; with the growth of agricultural production, the availability of raw materials for industry will also increase, stimulating off-farm employment; rising rural incomes will accelerate the demand for consumer items and agricultural implements, strengthening these industries. In other words, the ADLI strategy views agriculture as the engine of growth because of its potentially superior growth linkages, surplus generation, market creation, and provision of raw materials and foreign exchange (Haile et al., 1991; Demeke, 1996; MOFED, 2002). ADLI has set the goal of doubling per capita income over 15 years and to resolve the food security problem within five years. The policy instrument chosen to attain these goals included a new system of agricultural extension, Participatory Agricultural Demonstration Training Extension System (PADETES) in 1994/95. The major objectives of PADETES are to improve the incomes and standards of living for the rural population by increasing agricultural productivity; become self-sufficient in food production; facilitate the establishment of farmers’ organizations; increase and improve the production of industrial and export crops so as to diversify export and substitute import; conserve and develop natural resources; and to encourage the participation of rural women in development.
The PADETES attempts to merge the training and visit (T&V) system with the technology diffusion experience of the Sasakawa/Global 2000 (SG2000). The principle of PADETES is to demonstrate to farmers the benefits of a package of inputs, notably balanced and higher rates of fertilizer, improved seeds, pesticides and better cultural practices. Evidently, SG2000 has convincingly demonstrated productivity increment when farmers were provided with appropriate research messages, adequate extension assistance, and agricultural inputs such as improved seeds, fertilizers and pesticides, delivered on time at reasonable prices (SG2000, 1996). Results from SG2000 indicated that if technologies like chemical fertilizers, improved high yielding varieties, optimum plant population, timely weeding, pest control and harvesting are used, the yield can be easily doubled or even tripled as compared with traditional practices (Dercon, 1999; SG2000, 2000). Farmers who participated in the PADETES allocate ˝ ha of land (in some cases Ľ or less) for demonstration and make a 25-50% down payment on the inputs used at the time of planting with the balance due after harvest. The farmers manage the plots under a close supervision and advice of extension agents. Both the SG200 and government led-PADETES have demonstrated that the yield levels of the crops (maize, wheat, tef, sorghum, etc) included in the package program to be 3-4 times higher, on average, than the conventional national averages, implying that the country has a potential to solve the chronic food shortage and insure food security.
The purpose of
this paper is to assess whether PADETES has met its intended objectives - increasing
crop production and productivity and thereby contributed to food security and
poverty reduction.
A total of 4587 households (drawn from 9 regional states, 44 zones and 94 Woredas) were sampled in 2003/04 cropping season for the purpose of the study (Table 2.1 and Annex 1). Majority of the Woredas (88%) were drawn from Oromia, Amhara, SNNPR and Tigray in that order of importance, keeping with the size of households in respective regions.
Table 2.1. Sample size (number of households, zones and Woredas by region)
|
Region |
|||
|
Tigray |
350 |
4 |
7 |
|
Afar |
200 |
2 |
4 |
|
Amhara |
994 |
8 |
20 |
|
Oromia |
1891 |
13 |
39 |
|
Somali |
100 |
1 |
2 |
|
Benshangul Gumuz |
100 |
2 |
2 |
|
SNNPR |
852 |
11 |
17 |
|
Dire Dawa |
50 |
1 |
1 |
|
Harari |
50 |
2 |
2 |
|
Total |
4587 |
44 |
94 |
The 4587 households were sampled for 18 potential commodities in their localities (Table 2.2). In this respect, the list of potential commodities provided by the Market Development Strategy (‘Market Plan’) document of the Ministry of Agriculture (unpublished data) was used to identify the sample framework. Male-and female-headed households constituted 88% and 12% of the sample, respectively. More than three-quarter of the sampled households (83%) are found to be followers of Orthodox Christian and Muslim, while the remaining 17% was accounted for by other types of Christianity. The sampling also took into account agro-ecology, moisture regime (reliable and stress areas), length of growing period, market opportunity, and availability of other enabling institutions.
Table 2.2. Sampled households by major types of commodities and region
|
Commodity |
Tigray |
Afar |
Amhara |
Oromia |
Somali |
Benshangul Gumuz |
SNNPR |
Dire Dawa |
Harari |
Total |
|
Agro-pastoral |
0 |
100 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
100 |
|
Barley |
0 |
0 |
51 |
153 |
0 |
0 |
48 |
0 |
0 |
252 |
|
Chickpea |
50 |
0 |
51 |
50 |
0 |
0 |
0 |
0 |
0 |
151 |
|
Coffee |
0 |
0 |
0 |
249 |
0 |
0 |
153 |
0 |
0 |
402 |
|
Dairy |
100 |
0 |
100 |
243 |
0 |
0 |
151 |
0 |
0 |
594 |
|
Enset |
0 |
0 |
0 |
50 |
0 |
0 |
97 |
0 |
0 |
147 |
|
Groundnut |
0 |
0 |
0 |
51 |
0 |
0 |
0 |
0 |
50 |
101 |
|
Haricot- bean |
0 |
0 |
49 |
96 |
0 |
0 |
53 |
0 |
0 |
198 |
|
Honeybee |
0 |
0 |
99 |
50 |
0 |
0 |
49 |
0 |
0 |
198 |
|
Horse bean |
0 |
0 |
51 |
54 |
0 |
0 |
0 |
0 |
0 |
105 |
|
Maize |
0 |
0 |
200 |
140 |
0 |
0 |
151 |
0 |
0 |
491 |
|
Meat |
0 |
100 |
195 |
150 |
50 |
0 |
0 |
50 |
0 |
545 |
|
Potato |
0 |
0 |
0 |
50 |
0 |
0 |
50 |
0 |
0 |
100 |
|
Sesame |
50 |
0 |
0 |
0 |
0 |
50 |
0 |
0 |
0 |
100 |
|
Sorghum |
50 |
0 |
50 |
99 |
50 |
50 |
0 |
0 |
0 |
299 |
|
Tchat |
0 |
0 |
0 |
49 |
0 |
0 |
0 |
0 |
1 |
50 |
|
Teff |
50 |
0 |
100 |
251 |
0 |
0 |
0 |
0 |
0 |
401 |
|
Wheat |
50 |
0 |
49 |
154 |
0 |
0 |
100 |
0 |
0 |
353 |
|
Total |
350 |
200 |
995 |
1889 |
100 |
100 |
852 |
50 |
51 |
4587 |
Of the total sample of 4587 households sampled for this study, 4575 (99.7%) responded to the questionnaire whether they have participated or not in the extension package. Close to 56% of the respondent households were found to have ever participated in extension package programs and the remaining 44% did not participate (Table 3.1). Region-wise, only Tigray, Amhara, Oromia and Beneshangul Gumuz have managed to let more than 50% of their respective sampled households to have participated in the extension during the period 1994/95-2003/04. The percentage of participant households was about 62% in moisture reliable Woredas as compared to 46% in moisture stress Woredas. Apparently, there was an increment in the number of households involved in the package program nationwide when compared to involvement of 37% of the sampled households in 1998 (Ayalew, 1998). However, percentage of participating households was low in agro-pastoral Woredas, accounting only for 29%, suggesting that relatively less households have adopted the extension package in arid and semi-arid areas, where agro-pastorals are widely residing.
|
Region |
Sample size |
Yes |
No |
Total |
|
Tigray |
350 |
55.4 |
44.6 |
100.0 |
|
Afar |
199 |
21.1 |
78.9 |
100.0 |
|
Amhara |
992 |
63.8 |
36.2 |
100.0 |
|
Oromia |
1885 |
63.6 |
36.4 |
100.0 |
|
Somali |
99 |
15.2 |
84.8 |
100.0 |
|
Beneshangul Gumuz |
100 |
60.0 |
40.0 |
100.0 |
|
SNNPRS |
849 |
43.7 |
56.3 |
100.0 |
|
Dire Dawa |
50 |
24.0 |
76.0 |
100.0 |
|
|
51 |
45.1 |
54.9 |
100.0 |
|
Total |
4575 |
55.7 |
44.3 |
100.0 |
Despite the importance given to PADETES, the percentage of households annually entering into the extension package was found to be low, ranging from 4.3% in 1994/95 to 16.3% in 2002/03 and there was no clear trend during the period 1994/95-2003/04 both for the country as a whole and region-wise (Fig. 3.1a, b and Annex 2).
Fig. 3.1a. Nationwide annual percentage of
households who have started participating in the extension package for the
first time during 1994/95-2003/04.

Fig. 3.1b Region-wise annual percentage of households who have started
participating in the extension package for the first time during
1994/95-2003/04.
The same trend was observed while
analyzing the data for moisture reliable and stressed Woredas. It is to be
noted that the rural based agricultural development strategy document issued in
2002 targeted that by the year 2005, all farming households, numbering close to
9 million households, would be accommodated in the program. The present study
implied that it may be too ambitious to achieve such a target. Probably those
who once started participating will not graduate and leave room for new entries
presumably because continuing to remain in the extension system would ensure
access to inputs and credit and the DAs also maintain such experienced farmers
so as to reduce the load of training fresh and inexperienced ones. Another likely reason is
that the extension package is always accommodating only resource-endowed
farmers, leaving aside the less resourceful farmers. Meeting the participation
criteria such as having a plot size of 1/4th of a hectare and 25%
down payment to be entitled for credit for inputs may also discourage
households to participate in the extension package. An economic analysis of the
Ministry of Agriculture/SG2000 experiments with improved cereal technology in
On the other, some extension professionals argue that achieving about 10% involvement in the extension system is adequate on the ground that extension is expected to only communicate idea with the farming community and inputs demand emerging as a result of the extension program need to be addressed by designing effective ways of inputs delivery to farmers. This involves concerted efforts of higher level policy makers, effective and efficient input supply organizations, output marketing agencies and generally the full involvement of all stakeholders engaged in agriculture and rural development.
It is generally acknowledged that agricultural research efforts and results will be of no value unless the approved technologies are transferred and widely adopted by farmers. Results of the present study showed that only two-third (67%) of the sampled households participated in the different package programs. Of the participating households, 58% of the households participated in cereals (maize, wheat, tef, sorghum, barley and finger millet) production package, while those involved in high value crops such as pulses, coffee, vegetables, oil seeds and fruit crops production constituted low (Fig. 3.2 and Annex 3). Unfortunately involvements in natural resources management (soil and water conservation, agro-forestry,

Fig. 3.2. Extension packages in which the sampled households have been
participated.
a barley, maize, sorghum, tef, wheat, finger millet; b chickpea, faba bean, field pea, haricot bean, lentil and soybean ; C pepper, tomato, head cabbage, carrot, onion, shallot, garlic; d potato, sweet potato, enset; e Noug, linseed, gomenzer, groundnut, sesame; f banana, mango, avocado.
community forestry), use of farm
implements to improve soil drainage such as Broad Bed Maker (BBM) and to
improve soil and water conservation such as Tie-ridger, and post harvest were
also very low. BBM is used to drain vertisols. If appropriate
surface/subsurface drainage measures were implemented on vertisols, such as
using BBM, potential food grain production would be increased substantially.
Similarly, Tied-ridging is a technique of making embankments at regular spacing
between ridges so as to prevent the run-off water and to create basins of water
into micro-catchments, making more water available for crop production. Past
research results and demonstrations have shown that effective management of
soil water using tie-ridger to have appreciably improved land productivity in
moisture deficient areas. For instance, experiments conducted in the semi-arid
areas of
More than two-third (69%) of the
participating households indicated that involvement in package program has been
participatory and based on their ability and willingness (Table 3.2).
Non-participatory means of including households in package program such as the
one based on top-down, quota and administrative decisions accounted for 27% of
the households. This finding is contrary to the conclusions reached by previous
studies that the extension work in
Table 3.2. Opinion of sampled households about extension package programs (%)
|
Region |
Sample |
Participatory |
Non
participatory |
No
suggestion |
Total |
|
Tigray |
235 |
66.4 |
28.5 |
5.1 |
100.0 |
|
Afar |
108 |
74.1 |
20.3 |
5.6 |
100.0 |
|
Amhara |
528 |
74.5 |
22.3 |
3.2 |
100.0 |
|
Oromia |
1014 |
67.3 |
28.3 |
4.4 |
100.0 |
|
Somali |
45 |
53.3 |
28.9 |
17.8 |
100.0 |
|
Benshangul
Gumuz |
62 |
87.1 |
9.7 |
3.2 |
100.0 |
|
SNNPR |
391 |
64.2 |
32.6 |
3.2 |
100.0 |
|
Dire
Dawa |
25 |
84.0 |
16.0 |
0 |
100.0 |
|
Harari |
26 |
69.2 |
26.9 |
3.9 |
100.0 |
|
Total |
2434 |
68.7 |
27.2 |
4.1 |
100.0 |
In the present study, a greater proportion of the participating households (80%) were attracted to extension package upon awareness creation by extension agents/Bureau of Agriculture and woreda or peasant association officials. Observation-based (good result of extension package plots and increased production achieved by neighboring farmers) attracted only about 14% of the households. Need to get access to inputs (seeds and fertilizers) and to obtain loan, pressure from woreda and peasant association officials as well as listening to extension program on radio attracted only insignificant percentage of households (6%). A study aimed at studying the adoption of improved bread wheat varieties and inorganic fertilizer by small scale farmers in Yelmana Densa and Fata districts of northwestern Ethiopia also revealed that the major actors in the dissemination of information about wheat technology are extension agents and neighbors, while relatives, researchers, traders, producers and service cooperatives played limited roles (Zegeye, et al., 2001b).
The present study further
revealed that the same above agents also served as major sources of information
about extension packages in that more than three-quarter of the participating
households (81%) got informed about extension package from awareness creation
made by either extension or development agents and about 15% from their
neighbors (Table 3.3). Field days, demonstrations, media and SG2000 played
insignificant (4%) role in informing farmers about extension. Results from
wheat and barley seed systems in
Table 3.3. Sources of firsthand information about extension package for the sampled households (%)
|
Region |
Sample |
Extension
agent |
Neighboring
farmers |
Field days |
Demonstration
plots |
Mass media |
SG2000 |
Own
experience |
Total |
|
Tigray |
194 |
88.1 |
9.3 |
0.0 |
0.6 |
1.5 |
0.5 |
0.0 |
100.0 |
|
Afar |
41 |
82.9 |
2.4 |
0.0 |
0.0 |
0.0 |
9.8 |
4.9 |
100.0 |
|
Amhara |
635 |
84.4 |
12.9 |
0.0 |
1.6 |
0.3 |
0.0 |
0.8 |
100.0 |
|
Oromia |
1192 |
77.1 |
18.0 |
0.3 |
1.3 |
2.6 |
0.2 |
0.5 |
100.0 |
|
Somali |
14 |
71.4 |
28.6 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
100.0 |
|
B. Gumuz |
56 |
91.1 |
5.4 |
0.0 |
1.8 |
1.7 |
0.0 |
0.0 |
100.0 |
|
SNNPR |
369 |
85.4 |
10.6 |
0.0 |
2.4 |
0.5 |
0.0 |
1.1 |
100.0 |
|
Dire Dawa |
12 |
83.3 |
16.7 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
100.0 |
|
Harari |
23 |
34.8 |
52.2 |
8.7 |
0.0 |
4.3 |
0.0 |
0.0 |
100.0 |
|
Total |
2536 |
81.0 |
14.7 |
0.2 |
1.5 |
1.6 |
0.3 |
0.7 |
100.0 |
Generation of improved technology and its adoption by farmers are the key factors for increasing crop productivity and, therefore, improving the standard of living of farming communities. Several factors determine, directly or indirectly, the decisions of farmers to accept or otherwise the newly developing agricultural technologies/inputs. In this section, attempts are made to examine the inputs utilization patterns of the sampled households and assess factors associated with such adoption or non-adoption of the inputs being delivered.
Despite the increasing supply of improved seeds in PADETES, 75% of the participating households were found to use local seeds (Table 3.4). Only about 8% responded to use improved seeds and another 15% used both local and improved seed and the use of hybrid maize is only 0.5% nationwide. Analyzing the data for potential crops in potential Woredas generally gave results of the same trend. However, the situation seemed to be better for maize in that in the maize dominated sampled Woredas, 49% of the households indicated that they use local seed most of the time, 13% used improved seed, 34% used both improved and local seed and 3% used hybrid seed. Although tef is grown on 32% of the cultivated land, seed production of this crop is not attractive to large commercial seed producers for several reasons, such as admixture. As a result, small-scale farmers are now being encouraged by ESE to grow seed of this crop on contract (Kugbei and Fikru, 1997).
Table 3.4. Kinds of seeds mostly used by the sampled households (%)
|
Region |
Sample |
Improved seed |
Local seed |
Both local & improved |
Seed of unknown source |
Hybrid maize |
Total |
|
Tigray |
340 |
7.9 |
84.4 |
6.8 |
0.9 |
0.0 |
100.0 |
|
Afar |
136 |
20.6 |
68.4 |
5.1 |
5.9 |
0.0 |
100.0 |
|
Amhara |
978 |
9.0 |
73.9 |
16.7 |
0.1 |
0.3 |
100.0 |
|
Oromia |
1849 |
9.0 |
70.5 |
20.2 |
0.2 |
0.1 |
100.0 |
|
Somali |
97 |
3.1 |
91.8 |
1.0 |
0.0 |
4.1 |
100.0 |
|
B. Gumuz |
98 |
9.2 |
84.7 |
6.1 |
0.0 |
0.0 |
100.0 |
|
SNNRPS |
829 |
4.6 |
80.1 |
13.0 |
0.4 |
1.9 |
100.0 |
|
Dire Dawa |
48 |
6.2 |
89.6 |
4.2 |
0.0 |
0.0 |
100.0 |
|
Harari |
50 |
16.0 |
62.0 |
22.0 |
0.0 |
0.0 |
100.0 |
|
Total |
4425 |
8.4 |
75.0 |
15.6 |
0.4 |
0.6 |
100.0 |
Previous studies also estimated the use of improved seeds at about 7% of the seed requirement (Amha, 1999), which is definitely low and the proportion of households in 1995/96 who bought improved seeds was 2.3% (MOLSA, 1997). The same studies pointed out that the use of improved seed is influenced by price, access to credit, fertilizer use, economic status of the household, chemical use, visits of extension agents and infrastructure development. Generally farmers use different sources of seed for planting such as own saved seed from previous year’s harvest, seed obtained from relatives, neighbors or other farmers as well as seed purchased through local markets or grain traders and seed purchased from the formal sector. This overall low rate of use of improved seeds corroborates previous estimate that 85% of the Ethiopian farmers are believed to depend upon seeds of local cultivars (Tafesse, 2002). The reasons for largely depending on own saved seed could be that the farmers do not have to pay cash for it nor travel to procure it; that the farmer may not have well organized supply system for the particular seed; and that the farmer knows that his cultivar is superior or does not have enough knowledge about the merits of improved seeds. Another reason could be that the formal sector more often provides seeds of a limited range of crops and varieties, which not always fulfill the needs of the farmers to diversify production.
The major source of seed was own saved seed (54%) (Table 3.5). The formal seed sources (ESE, agricultural research centers and colleges and Pioneer Hybrid Seed supplied, directly by respective institutions or by bureaus of agriculture) provided for about 19% of the households’ seed requirement. For about 25% of the households a purchased seed (from seed producing farmers, neighbors, relatives, market, etc.) was source of seed for planting. In agreement with these results, several previous studies have shown that farmers produce crops using farm-saved seed with limited adoption of improved varieties (Kahsay and Kugberi, 1998; Gebeyehu et al., 2001).
Table 3.5. Major sources of seeds for the sampled households (%)
|
Region |
Sample |
Own saved seed |
Formal seed sources |
Purchased seeds |
Relief seeds |
Community produced seeds |
Total |
|
Tigray |
350 |
56.0 |
20.0 |
22.3 |
0.3 |
1.4 |
100.0 |
|
Afar |
200 |
48.5 |
11.5 |
36.0 |
0.0 |
4.0 |
100.0 |
|
Amhara |
995 |
59.2 |
17.5 |
21.4 |
0.4 |
1.5 |
100.0 |
|
Oromia |
1889 |
52.1 |
20.1 |
25.7 |
0.1 |
2.0 |
100.0 |
|
Somali |
100 |
53.0 |
20.0 |
25.0 |
0.0 |
2.0 |
100.0 |
|
B. Gumuz |
100 |
43.0 |
25.0 |
32.0 |
0.0 |
0.0 |
100.0 |
|
SNNRPS |
852 |
52.2 |
20.3 |
25.0 |
0.2 |
2.3 |
100.0 |
|
Dire Dawa |
50 |
66.0 |
20.0 |
14.0 |
0.0 |
0.0 |
100.0 |
|
Harari |
51 |
66.7 |
11.8 |
21.5 |
0.0 |
0.0 |
100.0 |
|
Total |
4587 |
53.9 |
19.2 |
24.8 |
0.2 |
1.9 |
100.0 |
In the present study, for the
improved seed the major source was found to be ESE, supplied through Bureau of
Agriculture (17%) and direct supply by ESE accounted only for 1%, indicating
that direct sales of commercial seeds to the smallholders by ESE is very
minimal. Regional bureaus of
agriculture are known to supply 95% of seeds produced by ESE and other formal
sectors. A study made in 1998 estimated that the ESE provided 3.5% of national
seed requirement, while the bulk of seed used nationwide was farm-saved from
harvests of previous crops (Kahsay and Kugbei, 1998). Improved seed marketing
and adoption study in
To increase productivity of
crops, farmers should have access to improved seeds of the right type, at the
right time, at the right place, at a reasonable price and with right-sized seed
packages. To this effect, the formal seed sector in
Seed marketing is the weakest
link in the seed production/marketing chain in
The frequency of replacing seeds of improved crop varieties is one of the important indicators of modern farming. The present study revealed that nearly 70% of the participating households replace their seeds within 1-4 years (Table 3.6). The remaining 30% households replaced their seeds after more than 4 years. A study made in 1998 by Afri-consultants indicated that about 57% of the households renewed their seed stocks within 1-4 years and 3% renewed between 4 to 5 years, and the rest did not have specific renewal patterns (Afri-Consultants, 1998). The general recommendation for seed replacement duration by seed technologists is to renew within 4 years for self-pollinated crops and every year for hybrid varieties.
|
Region |
Sample |
1-4 years |
4-6 years |
6-10 years |
>10 years |
Total |
|
Tigray |
162 |
73.5 |
8.6 |
0.6 |
17.3 |
100.0 |
|
Afar |
95 |
18.9 |
3.2 |
0.0 |
77.9 |
100.0 |
|
Amhara |
506 |
83.0 |
3.9 |
1.8 |
11.3 |
100.0 |
|
Oromia |
1168 |
71.6 |
9.9 |
1.3 |
17.2 |
100.0 |
|
Somali |
17 |
47.1 |
23.5 |
0.0 |
29.4 |
100.0 |
|
Benshangul Gumuz |
48 |
75.0 |
10.4 |
4.2 |
10.4 |
100.0 |
|
SNNRPS |
398 |
58.0 |
5.8 |
2.3 |
33.9 |
100.0 |
|
Dire Dawa |
26 |
80.8 |
3.8 |
0.0 |
15.4 |
100.0 |
|
Harari |
29 |
58.6 |
3.4 |
3.5 |
34.5 |
100.0 |
|
Total |
2449 |
69.7 |
7.6 |
1.5 |
21.2 |
100.0 |
Frequent seed replacement should
also involve frequent replacement of old variety by a newly released variety to
take advantage of the better yielding and quality as well as better disease and
insect pest tolerance of such varieties. In
Results of the present study showed that only 22% of the participating households get improved seeds timely for purchase, while more than one-half (58%) responded to get late and another 20% had no idea about the time of supply (data not shown).
Among those households who have used improved variety, 26% responded to have used the right type of crop variety, while about 17% did not get the right type of crop variety (Table 3.7).
Table 3.7. How often households receive
improved seeds of the right variety (%)
|
Region |
Sample |
Mostly |
Seldom |
Not at all |
No suggestion |
Total |
|
Tigray |
169 |
42.6 |
18.9 |
4.8 |
33.7 |
100.0 |
|
Afar |
120 |
15.0 |
6.7 |
4.1 |
74.2 |
100.0 |
|
Amhara |
514 |
28.4 |
24.5 |
22.0 |
25.1 |
100.0 |
|
Oromia |
1134 |
27.2 |
34.5 |
14.5 |
23.8 |
100.0 |
|
Somali |
23 |
17.4 |
8.7 |
21.7 |
52.2 |
100.0 |
|
Benshangul Gumuz |
49 |
14.3 |
44.9 |
26.5 |
14.3 |
100.0 |
|
SNNPR |
374 |
17.4 |
28.3 |
24.3 |
29.9 |
99.9 |
|
Dire Dawa |
25 |
44.0 |
48.0 |
8.0 |
0.0 |
100.0 |
|
Harari |
31 |
35.5 |
22.6 |
12.9 |
29.0 |
100.0 |
|
Total |
2439 |
26.4 |
28.9 |
16.6 |
28.1 |
100.0 |
While commenting on the quality of seed supplied, 70% of the participating households regarded the seed to be of medium to high quality, whereas 20% judged the seeds to be of poor quality, manifested as mixture or resulting in crop failure. Some 10% of the households could not judge the quality of seed they received (data not shown).
The source of information for the participating households’ about the seeds they have used included own prior knowledge/information and reading extension manuals about the importance of seeds of a particular variety (18%), demonstration and observation of field days (12%) and upon recommendation by neighbors, friends, relatives, NGOs and research centers (13%). More than one-half (57%) of the participating households received improved seeds of a particular variety upon recommendation by extension agents (Data not shown). Demonstrating crop cutting and weighing as well as organizing field days at different levels where prizes are given for farmers who achieved the highest yield are often known to attract farmers to adopt improved seed varieties (Zegeye et al., 2001a).
Out of the participating households, 39% planted improved seeds on 1-20% of their total arable land during the past agricultural year (2003/2004), and those who planted on 81-100% of their arable land numbered only 10% (Table 3.8). The results suggested that despite development and official release of many varieties of cereals, pulses, oilseeds, and horticultural crops, there is limited adoption of the developed improved varieties by farmers who still predominantly practice traditional agriculture mainly because of the absence of appropriate seed delivery and promotion systems.
|
Region |
Sample |
1-20% |
21-40% |
41-60% |
61-80% |
81-100% |
Cannot estimate |
Total |
|
Tigray |
112 |
48.2 |
14.3 |
8.0 |
2.7 |
5.4 |
21.4 |
100.0 |
|
Afar |
63 |
3.2 |
3.2 |
3.2 |
11.1 |
33.3 |
46.0 |
100.0 |
|
Amhara |
413 |
33.7 |
12.8 |
21.3 |
14.3 |
13.1 |
4.8 |
100.0 |
|
Oromia |
898 |
45.3 |
18.0 |
13.4 |
6.5 |
9.9 |
6.9 |
100.0 |
|
Somali |
14 |
28.6 |
7.1 |
42.9 |
7.1 |
0.0 |
14.3 |
100.0 |
|
B. Gumuz |
42 |
33.3 |
21.4 |
4.8 |
2.4 |
7.1 |
31.0 |
100.0 |
|
SNNPR |
266 |
31.6 |
24.1 |
17.7 |
5.2 |
2.2 |
19.2 |
100.0 |
|
Dire Dawa |
21 |
38.1 |
28.6 |
14.3 |
0.0 |
19.0 |
0.0 |
100.0 |
|
Harari |
29 |
17.2 |
24.1 |
34.5 |
10.3 |
7.0 |
6.9 |
100.0 |
|
Total |
1858 |
38.6 |
17.2 |
15.4 |
7.9 |
10.0 |
10.9 |
100.0 |
Slightly over fifty percent (53%) of the participating households indicated the presence of improved seed distribution center nearby, while 47% pointed out the absence of nearby improved seed distribution center (Table 3.9). For Dire Dawa, Benshangul Gumuz, Tigray, Amhara and Oromia more than 50% of the households were found to have nearby seed distribution center, whereas Afar, Somali, SNNPR and Harari seemed to have nearby seed distribution center for less than 50% of their farm households. About one-quarter of those households with far away located improved seed distribution center were found to travel 5 to 50 km to get improved seed. Previous studies have indicated the presence of acute shortage of infrastructure facilities where close to 75% of the farmers are more than half-day walks from all weather roads (Amha, 1999).
Over one-third (36%) of the households responded that they did not use inorganic fertilizer during the 2003/04 crop season. Previous study also indicated that the proportion of households in 1995/96 who bought fertilizer was 28.5% (MOLSA, 1997), suggesting about 29% increase over the decade. For those households who used inorganic fertilizer, the major suppliers were Bureau of Agriculture (35%), AISCO (29%), other trade firms (19%), cooperatives/unions (13%), and NGOs supplied about 4% (Table 3.10).
Table 3.9. Percentage of sampled households with or without close by seed distribution center
|
Region |
Sample |
Yes |
No |
Total |
|
Tigray |
346 |
61.3 |
38.7 |
100.0 |
|
Afar |
172 |
32.6 |
67.4 |
100.0 |
|
Amhara |
992 |
55.9 |
44.1 |
100.0 |
|
Oromia |
1868 |
55.6 |
44.4 |
100.0 |
|
Somali |
99 |
6.1 |
93.9 |
100.0 |
|
Benshangul Gumuz |
100 |
74 |
26 |
100.0 |
|
SNNPR |
845 |
47.2 |
52.8 |
100.0 |
|
Dire Dawa |
49 |
81.6 |
18.4 |
100.0 |
|
Harari |
51 |
45.1 |
54.9 |
100.0 |
|
Total |
4522 |
52.9 |
47.1 |
100.0 |
|
Region |
Sample |
AISCO |
Bureau of
Agric. |
Cooperatives/ Unions |
NGOs |
Other
trade firms |
Total |
|
Tigray |
217 |
32.7 |
44.7 |
13.4 |
3.7 |
5.5 |
100.0 |
|
Afar |
83 |
24.1 |
42.2 |
2.4 |
6.0 |
25.3 |
100.0 |
|
Amhara |
600 |
31.5 |
29.0 |
19.0 |
2.8 |
17.7 |
100.0 |
|
Oromia |
1284 |
28.7 |
38.9 |
12.0 |
3.7 |
16.7 |
100.0 |
|
Somali |
46 |
47.8 |
34.8 |
6.6 |
0.0 |
10.8 |
100.0 |
|
B. Gumuz |
69 |
17.4 |
55.1 |
13.1 |
4.3 |
10.1 |
100.0 |
|
SNNPR |
525 |
26.5 |
22.3 |
9.1 |
5.1 |
37 |
100.0 |
|
Dire Dawa |
25 |
16.0 |
64.0 |
12.0 |
8.0 |
0 |
100.0 |
|
Harari |
29 |
13.8 |
55.2 |
31.0 |
0.0 |
0 |
100.0 |
|
Total |
2878 |
28.8 |
35.1 |
12.9 |
3.8 |
19.4 |
100.0 |
Out of the sampled households who used inorganic fertilizer during 2003/04 cropping season, about 23% responded to have used inorganic fertilizer on less than or equal to 20% of their total arable land area. Another 26% of the participating households applied inorganic fertilizer on 81-100% of their total arable land, which is one and half times that of improved seed planters for the same range of land (Table 3.11). This suggested that the level of inorganic fertilizer use is more than that of improved seed. However, farmers cannot gain potential benefit or profitability from fertilizers unless they use with improved seed and improved cultural practices.
|
Region |
Sample |
1-20% |
21-40% |
41-60% |
61-80% |
81-100% |
Cannot
estimate |
Total |
|
Tigray |
157 |
14.6 |
12.7 |
22.3 |
12.7 |
27.5 |
10.2 |
100.0 |
|
Afar |
65 |
6.2 |
4.6 |
1.5 |
13.8 |
37.0 |
36.9 |
100.0 |
|
Amhara |
610 |
19.5 |
9.0 |
18.7 |
18.2 |
29.4 |
5.2 |
100.0 |
|
Oromia |
1284 |
24.7 |
10.8 |
16.9 |
12.0 |
30.1 |
5.5 |
100.0 |
|
Somali |
16 |
18.8 |
12.4 |
31.3 |
12.4 |
18.8 |
6.3 |
100.0 |
|
B. Gumuz |
48 |
29.2 |
16.7 |
10.4 |
2.1 |
14.6 |
27.1 |
100.0 |
|
SNNRP |
466 |
25.8 |
15.9 |
18.7 |
9.9 |
7.1 |
22.6 |
100.0 |
|
Dire Dawa |
9 |
0.0 |
11.1 |
22.3 |
22.2 |
44.4 |
0.0 |
100.0 |
|
Harari |
32 |
21.9 |
15.6 |
18.8 |
15.6 |
28.1 |
0.0 |
100.0 |
|
Total |
2687 |
22.6 |
11.4 |
17.6 |
13.0 |
25.6 |
9.8 |
100.0 |
The mean amount of fertilizer applied for major cereals during the 2003/04 cropping season in the four major cereal-producing regions is given in Table 3.12. The result showed that relatively more amount of fertilizer was applied for wheat and maize in all the regions. The amount applied for sorghum was less than one quintal per ha except in Oromia, but one cannot be sure why the farmers have reduced the rate for sorghum. Generally, it seems that about one quintal per hectare of inorganic fertilizer is applied for cereals in the regions. Similar to the case with improved seed distribution, close to one-half (46.5%) of the households indicated absence of fertilizer distribution center nearby, while slightly more than one-half (53.5%) pointed out the presence of nearby fertilizer distribution center (Table 3.13). About one-quarter of those households with far away located fertilizer distribution center were found to travel 5 to 50 km to get inorganic fertilizer.
Table 3.12. Mean inorganic fertilizer applied for major cereals during meher 2003/04 cropping season
|
Region |
Crop |
Sample
|
Inorganic
fertilizer applied (Qt/ha) |
|
Region |
Crop |
Sample
|
Inorganic
fertilizer applied (Qt/ha) |
|
Tigray |
White
tef |
33 |
1.3 |
|
Oromia |
White
tef |
443 |
1.2 |
|
Sergegna tef |
71 |
1 |
|
Sergegna tef |
681 |
1.1 |
||
|
Barley |
33 |
1 |
|
Barley |
393 |
1 |
||
|
Wheat |
37 |
1.7 |
|
Wheat |
916 |
1.3 |
||
|
Maize |
20 |
1.9 |
|
Maize |
444 |
1.4 |
||
|
Sorghum |
4 |
0.9 |
|
Sorghum |
68 |
1.3 |
||
|
Mean |
|
|
1.3 |
|
Mean |
|
|
1.2 |
|
Amhara |
White
tef |
378 |
1.4 |
|
SNNPR |
White
tef |
69 |
0.7 |
|
Sergegna tef |
235 |
1.1 |
|
Sergegna tef |
41 |
1.1 |
||
|
Barley |
118 |
1.3 |
|
Barley |
105 |
1.6 |
||
|
Wheat |
357 |
1.7 |
|
Wheat |
227 |
1.3 |
||
|
Maize |
337 |
1.8 |
|
Maize |
228 |
1.2 |
||
|
Sorghum |
23 |
0.6 |
|
|
Sorghum |
5 |
0.5 |
|
|
Mean |
|
|
1.5 |
|
Mean |
|
|
1.2 |
Table 3.13. Percentage of sample households who were with or without fertilizer distribution centers
|
Region |
Sample |
Yes |
No |
Total |
|
Tigray |
346 |
69.1 |
30.9 |
100.0 |
|
Afar |
171 |
15.8 |
84.2 |
100.0 |
|
Amhara |
989 |
57.8 |
42.2 |
100.0 |
|
Oromia |
1863 |
56.2 |
43.8 |
100.0 |
|
Somali |
99 |
6.1 |
93.9 |
100.0 |
|
Benshangul Gumuz |
99 |
86.9 |
13.1 |
100.0 |
|
SNNPR |
847 |
45.90 |
54.10 |
100.0 |
|
Dire Dawa |
49 |
51.00 |
49.0 |
100.0 |
|
Harari |
51 |
47.10 |
52.9 |
100.0 |
|
Total |
4514 |
53.50 |
46.5 |
100.0 |
Other major soil ameliorating
practices used by the participating households included application of manure
(animal dung, farmyard manure and compost) (57%), crop rotation (32%), and
fallowing (8%). Intercropping with legumes, green manure and terracing as well
as tie-riding played insignificant (about 3%) role in soil fertility
improvement. The major soil types in
The mean amount of organic fertilizers applied for
major cereals during meher 2003/04 cropping season in four major cereal
producing regions of
|
Region |
Crop |
Sample |
Organic
fertilizer applied (qt/ha) |
|
Region |
Crop |
Sample |
Organic
fertilizer applied (qt/ha) |
|
Tigray |
White
tef |
6 |
45.1 |
|
Oromia |
White
tef |
16 |
3.3 |
|
Sergegna tef |
11 |
16.8 |
|
Sergegna tef |
10 |
3.8 |
||
|
Barley |
13 |
17 |
|
Barley |
26 |
9.2 |
||
|
Wheat |
10 |
8.9 |
|
Wheat |
30 |
6.1 |
||
|
Maize |
22 |
43.1 |
|
Maize |
189 |
8 |
||
|
Sorghum |
7 |
19.6 |
|
Sorghum |
99 |
9.9 |
||
|
Mean |
|
|
26.8 |
|
Mean |
|
|
8.1 |
|
Amhara |
White
tef |
25 |
11.6 |
|
SNNPR |
White
tef |
2 |
52.7 |
|
Sergegna tef |
26 |
8.6 |
|
Sergegna tef |
3 |
64.3 |
||
|
Barley |
39 |
15.2 |
|
Barley |
6 |
21.4 |
||
|
Wheat |
51 |
12.7 |
|
Wheat |
17 |
36.1 |
||
|
Maize |
149 |
10.5 |
|
Maize |
28 |
37.5 |
||
|
Sorghum |
18 |
10.5 |
|
Sorghum |
1 |
30 |
||
|
Mean |
|
|
11.4 |
|
Mean |
|
|
37.2 |
Several studies on technology adoptions have shown that the probability of adopting fertilizer, improved seeds and other related technologies is positively influenced by the size of the farm holding, size of the family, number of oxen owned, ability to read and write, etc. For instance, study conducted on maize technology adoption in southwestern Ethiopia concluded that adopters of high yielding improved maize were resource endowed in that they operated, on an average, larger farm sizes, had more arable area of land and maintained more herd sizes, and had adequate number of draught animals for their farm operation as compared with non-adopters (Broeck and Dercon, 2001; Zegeye, et al., 2001). Such strategy may lead to increasing the gap between resource-rich and resource-poor farmers as often noted in previous extension systems such as the maximum and minimum packages of the 1970s and early 1980s.
The results of the present study showed that labor
and draught animals are the primary power sources for most of the farm
operations such as primary and secondary tillages, planting, weeding,
harvesting, threshing/shelling and transport for the overwhelming majority of
the sampled households (>90%). A very limited use of tractor and combine
harvester was noted only in Oromia, reiterating the fact that the Ethiopian
agriculture is less influenced by modern farm implements. Aggravating the
situation, about 43% of the households did not have farm implements or tools
that are essential for their farm operations. This predominant use of labor and
draught animals in
In
In the present study, 64% of the sampled households were found to store their crop produce before sale, 11% sale immediately after harvest and 26% had no surplus for sale (Table 3.15). This result implied that about a quarter of the farmers are subsistent farmers, revealing the challenge of transforming Ethiopian agriculture to market-oriented agriculture.
Table 3.15. Percentage of sampled households who store their crop produce before sale
|
Sample |
Store for some time |
|
Had no surplus for sale |
Total |
|
|
342 |
48.8 |
14.6 |
36.5 |
100.0 |
|
|
Afar |
150 |
38.0 |
42.0 |
20.0 |
100.0 |
|
Amhara |
992 |
76.8 |
6.1 |
17.0 |
100.0 |
|
Oromia |
1868 |
63.8 |
9.3 |
26.9 |
100.0 |
|
Somali |
98 |
59.2 |
12.2 |
28.6 |
100.0 |
|
B. Gumuz |
100 |
54.0 |
13.0 |
33.0 |
100.0 |
|
SNNPRS |
848 |
62.1 |
12.3 |
25.6 |
100.0 |
|
Diredawa |
50 |
8.0 |
2.0 |
90.0 |
100.0 |
|
Harari |
51 |
80.4 |
9.8 |
9.8 |
100.0 |
|
Total |
4499 |
63.6 |
10.7 |
25.7 |
100.0 |
Regarding the type of storage structures being used to store produce before sale, 39% of the households store in bags/sacks, 44% in traditional granaries such as gotera, debegnet and guota, 9% in underground pits and the remaining 8% used structures like barrel and pots (Data not shown). Of the more than three-quarter (78%) of the sampled households who could estimate the storage capacity of their storage structure, about three-quarter of the households possessed storage structures with only up to 10 quintal. It can be concluded from this result that virtually all households are using traditional storage structures of limited capacity. The use of traditional storage structures leads to high post harvest crop loses and may force farmers to sell their excess produce early when market price is low due to high supply. Probably this lack of adequate storage facility and the need to pay loan early have forced farmers to sell their produce early.
The present study provided
support to the above arguments in that over one-half of the households (57%)
were aware of post harvest crop losses as one of their major problems.
Generally, pests, poor on farm transport, poor storage facilities and wastage
due to traditional food processing and preservation are the major causes of
crop harvest losses in the country. The study further revealed that cereals
were mostly susceptible to post harvest loss (88%), of which maize (31.5%),
wheat (18%) and sorghum (17%) were found to be the most susceptible. Weevils
(43%) and rodents (39%) were found to be the major agents for post harvest crop
losses, while other agents such as grain mold accounted for another 18%. About
84% of the households estimated the loss to be 1-10% of their crop produce, 8%
indicated that they lose 11-20% and another 8% estimated the amount of post
harvest loss to be 21-50%. Generally, post harvest crop losses are estimated to
be between 20-40% in
Most households use chemicals (43%) and aeration (36%) to minimize post harvest crop losses (Table 3.16). Use of cat or rat poison (9.5%) and sell and repurchase (7%) were found to be other practices of considerable importance. About 5% of the household used cultural control methods such as polishing with salt, ash, and pepper as well as secure placement.
Table 3.16. Major practices used by the
sampled households to avoid post-harvest crop losses (%)
|
Region |
Sample |
Aeration |
Pesticides |
Cat or
rat poison |
Cultural
control |
|
Total |
|
Tigray |
301 |
33.6 |
48.2 |
11.3 |
2.0 |
5.0 |
100.0 |
|
Afar |
125 |
44.8 |
36.0 |
7.2 |
4.8 |
7.2 |
100.0 |
|
Amhara |
828 |
38.9 |
41.7 |
8.9 |
4.6 |
5.9 |
100.0 |
|
Oromia |
1738 |
31.9 |
43.2 |
10.1 |
5.6 |
9.3 |
100.0 |
|
Somali |
63 |
54.0 |
31.7 |
9.5 |
0.0 |
4.8 |
100.0 |
|
Benshangul
Gumuz |
100 |
39.0 |
43.0 |
11.0 |
6.0 |
1.0 |
100.0 |
|
SNNPR |
752 |
38.4 |
42.6 |
8.1 |
4.8 |
6.1 |
100.0 |
|
Dire Dawa |
50 |
38.0 |
38.0 |
8.0 |
4.0 |
12.0 |
100.0 |
|
Harari |
51 |
23.5 |
43.1 |
15.7 |
11.8 |
5.9 |
100.0 |
|
Total |
4008 |
35.6 |
42.6 |
9.5 |
4.9 |
7.3 |
100.0 |
The present study showed that only 39% of the participating households used complete package of crop production, i.e., improved seeds, fertilizer and improved cultural practices (Annex 3.3). The remaining households (61%) who were participating in the extension packages used incomplete package of crop production lacking one or more of the major components. This incomplete use of extension package often reduces the profitability of input use and reduces household’s confidence in the sustainable use of modern agricultural inputs. Farmers using fertilizer would achieve limited gain from the input, which absorbs nearly all of their cash expenditure, unless used together with other inputs. This in turn calls for an integrated approach to technology promotion and delivery services.
About 43% of the participating households increased and 35% maintained the use of inputs such as seed and fertilizer as they continue participating in extension package, whereas 22% decreased the use of such inputs. Some households responded to have abandoned certain package programs, primarily applying fertilizers and packages on crops. Most of the abandoned packages have involved fertilizer, probably because of the increasing fertilizer price and tight repayment of fertilizer credit right after harvest, when usually grain price is low. Households mentioned variable reasons as to why they have abandoned certain package programs. The main factors included difficulty of getting credit for inputs (27%), too low grain price to encourage surplus production (26%), low profitability/productivity of the packages per se (18%), fear of rain shortage (9%). Other reasons included low response to inorganic fertilizers, declining productivity, and land shortage (4.4%) (Annex 3.4).
Over three-quarter of the households (78%) did not know menu-based or family-based extension system (Table 3.17). About 15% of the households responded to participated in menu-based extension system. Among those households who have participated in the menu-based extension system, 47% indicated the existence of difference between the regular and the menu-based extension systems, while the remaining 53% households said there was no difference or could not tell whether there is a difference or not (Data not shown). Close to two-third (66%) of the participating households participated in food crops (mainly cereals) production in the menu-based packages, indicating great similarity between the menu-based and the regular extension systems (Table 3.18). Involvement in high value crops was found to be low, despite the attention given to it. Similarly, involvement in natural resources management, such as agro-forestry, community forestry and soil and water conservation as well as in farm implements was minimal.
Table 3.17. Percentage of households who have participated in menu-based extension system
|
Region |
Sample |
Yes |
No idea |
Did not want to participate |
Did not participate |
Total |
|
Tigray |
347 |
42.9 |
40.6 |
13.3 |
3.2 |
100.0 |
|
Afar |
194 |
4.1 |
86.6 |
0.5 |
8.8 |
100.0 |
|
Amhara |
991 |
13.5 |
80.8 |
1.9 |
3.8 |
100.0 |
|
Oromia |
1848 |
14.7 |
78.8 |
2.1 |
4.4 |
100.0 |
|
Somali |
97 |
3.1 |
95.9 |
1.0 |
0.0 |
100.0 |
|
Benishangul
Gumuz |
98 |
5.1 |
54.0 |
3.1 |
37.8 |
100.0 |
|
SNNPRS |
840 |
10.0 |
85.4 |
0.8 |
3.8 |
100.0 |
|
Dire Dawa |
50 |
0.0 |
100.0 |
0.0 |
0.0 |
100.0 |
|
Harari |
51 |
7.8 |
92.2 |
0.0 |
0.0 |
100.0 |
|
Total |
4516 |
14.6 |
78.1 |
2.5 |
4.8 |
100.0 |
Table 3.18. Menu-based extension packages in which households have participated (%)
|
Region |
Sample |
Food
crops |
Cash
crops |
Natural
resources management |
Livestock |
Total |
|
Tigray |
50 |
80.0 |
0.0 |
4.0 |
16.0 |
100.0 |
|
Amhara |
172 |
66.9 |
0.6 |
4.7 |
27.8 |
100.0 |
|
Oromia |
464 |
64.4 |
0.4 |
1.7 |
33.5 |
100.0 |
|
Somali |
38 |
76.3 |
0.0 |
2.6 |
21.1 |
100.0 |
|
Benshangul Gumuz |
50 |
24.0 |
0.0 |
0.0 |
76.0 |
100.0 |
|
SNNPR |
255 |
71.4 |
1.2 |
2.3 |
25.1 |
100.0 |
|
Harari |
19 |
100.0 |
0.0 |
0.0 |
0.0 |
100.0 |
|
Total |
1048 |
66.4 |
0.6 |
2.4 |
30.6 |
100.0 |
The major positive aspects of menu-based extension packages included accommodation of the entire family (26%), saving government expenses (12%), more productivity (8%), inclusion of all packages in one system instead of separate packages (7%), more target oriented (6%), adequate support from expertise (5.5%) (Data not shown).
Results of the present study revealed that roughly three-quarter (73%) of the participating households responded that participation in the extension system has increased the level of their production and another 13% could not observe clear trend. Those who declared decrease of and no change in production were only about 5% and 7%, respectively, and about 2% had no suggestion (Data not shown). In an attempt to qualitatively estimate the extent of increment in production, 46% of the households responded that their production has increased by up to one-fourth, about 50% reported production increment ranging from two to four folds (Table 3.19). Many lines of evidence indicate that the increase in crop production from 1995 to 2004 has been mostly due to area expansion and not due to increase in yield, despite the increasing use of fertilizers and promotion and adoption of the technological package. Generally, good rains encourage farmers to cultivate more area than they would otherwise. However, such area expansion is achieved largely through cultivation of hillsides with deep slopes, reducing or eliminating fallow land, and converting pasture, woodland and forest areas into farmland, constraining the sustainability of the natural resource base.
|
Region |
Sample |
Increased <25% |
Increased 25% |
Doubled |
Tripled |
Quadrupled |
Increased >4x |
No suggestion |
Total |
|
Tigray |
96 |
25.0 |
31.3 |
24.0 |
9.4 |
8.3 |
2.1 |
0.0 |
100.0 |
|
Afar |
65 |
10.8 |
27.7 |
35.4 |
15.4 |
10.8 |
0.0 |
0.0 |
100.0 |
|
Amhara |
248 |
11.3 |
34.7 |
40.7 |
6.0 |
3.6 |
2.0 |
1.6 |
100.0 |
|
Oromia |
634 |
11.5 |
34.5 |
38.0 |
7.9 |
3.5 |
3.5 |
1.1 |
100.0 |
|
Somali |
28 |
3.6 |
53.6 |
35.7 |
3.6 |
0.0 |
3.6 |
0.0 |
100.0 |
|
B. Gumuz |
4 |
50.0 |
0.0 |
50.0 |
0.0 |
0.0 |
0.0 |
0.0 |
100.0 |
|
SNNPR |
296 |
7.8 |
35.1 |
37.2 |
9.8 |
5.4 |
3.0 |
1.7 |
100.0 |
|
Dire Dawa |
7 |
14.3 |
57.1 |
14.3 |
0.0 |
14.3 |
0.0 |
0.0 |
100.0 |
|
Harari |
26 |
11.5 |
38.5 |
38.5 |
7.7 |
0.0 |
0.0 |
3.8 |
100.0 |
|
Total |
1404 |
11.5 |
34.6 |
37.1 |
8.3 |
4.5 |
2.8 |
1.2 |
100.0 |
Table 3.20 presents
quantitative estimation of the mean yield (qt/ha) of five major cereals in four
regions of
|
Region |
Crop |
Sample |
Yield (Qt/ha) |
|
Region |
Crop |
Sample |
Yield (Qt/ha) |
|
Tigray |
White tef |
44 |
10 |
|
Oromia |
White tef |
215 |
7.8 |
|
Sergegna tef |
62 |
6.2 |
|
Sergegna tef |
423 |
11.1 |
||
|
Barley |
49 |
7.9 |
|
Barley |
278 |
27.6 |
||
|
Wheat |
50 |
23.5 |
|
Wheat |
524 |
35.4 |
||
|
Maize |
35 |
11.7 |
|
Maize |
660 |
29 |
||
|
Sorghum |
79 |
20.3 |
|
Sorghum |
307 |
12.3 |
||
|
Mean |
|
13.8 |
|
Mean |
|
23.1 |
||
|
Amhara |
White tef |
240 |
11.2 |
|
SNNPR |
White tef |
53 |
13.2 |
|
Sergegna tef |
266 |
9.6 |
|
Sergegna tef |
64 |
8.8 |
||
|
Barley |
91 |
11.3 |
|
Barley |
98 |
17.1 |
||
|
Wheat |
193 |
16.6 |
|
Wheat |
81 |
20.8 |
||
|
Maize |
347 |
34.5 |
|
Maize |
316 |
18.3 |
||
|
Sorghum |
185 |
12.8 |
|
Sorghum |
44 |
16.7 |
||
|
Mean |
|
18 |
|
Mean |
|
17 |
Table 3.21. Comparison of mean
productivity (Qt/ha) of 5 major cereals of
the present study with previous report*
|
Crop |
Overall average for the present study |
Average for previous package practices
(1995/96-2000/01) |
Average previous traditional practices
(1995/96-2000/01) |
|
Tef |
10.0 |
14.8 |
8.5 |
|
Barley |
20.9 |
21.0 |
10.0 |
|
Wheat |
29.0 |
28.6 |
11.8 |
|
Maize |
27.5 |
46.3 |
15.8 |
|
Sorghum |
13.8 |
26.8 |
10.9 |
* Source: Data for the previous years was obtained from Quarterly Bulletin of the Ministry of Agriculture 7th Year No. 10, Dec. 2001 (in Amharic).
|
Crop |
Sample |
Yield (Qt/ha) |
% Difference |
|
||
|
Participant |
Non-Participant |
Participant |
Non-Participant |
|
||
|
Barley |
308 |
220 |
13.5 |
12.7 |
6.4 |
|
|
Maize |
954 |
506 |
22.2 |
17.5 |
26.3 |
|
|
Sorghum |
377 |
362 |
12.1 |
9.9 |
22.2 |
|
|
White tef |
392 |
168 |
9.8 |
9.9 |
-1.1 |
|
|
Sergegna tef |
507 |
315 |
8.4 |
7.8 |
7.9 |
|
|
Wheat |
555 |
286 |
18.5 |
16.8 |
10.3 |
|
Similarly,
comparison of adopters of the extension package and non-adopters for using
inorganic fertilizers on major cereals showed that adopters harvest more yield
than non-adopters, still except for white tef, where the difference was found
to be negative (Table 3.23). Still similar trend was observed while using
improved seeds (Table 3.24). In general, comparison of adopters and
non-adopters recorded more difference while using or not using inorganic
fertilizers than while using or not using improved seeds, implying the much
deteriorated soil fertility of the arable land and the need to increase the
rate of application of fertilizer per hectare. From among the cereals, maize
and sorghum tended to show more positive yield differences between adopters and
non-adopters, suggesting that these crops are more responsive to the use of
modern inputs. There is no plausible reason why the yield difference for white
tef was negative. In general, red seeded tef variety is higher yielder than white
seeded one.
Table 3.23. Mean productivity (Qt/ha) of major cereals when using inorganic fertilizers
|
Crop |
Sample Size |
Yield (Qt/ha) |
% Difference |
||
|
Participant |
Non-Participant |
Participant |
Non-Participant |
||
|
Barley |
237 |
293 |
16.2 |
10.7 |
51.2 |
|
Maize |
727 |
736 |
25.4 |
15.8 |
60.8 |
|
Sorghum |
106 |
635 |
13.2 |
10.7 |
23.8 |
|
White tef |
394 |
166 |
9.4 |
10.7 |
-12.3 |
|
Sergegna tef |
465 |
357 |
8.6 |
7.7 |
12.4 |
|
Wheat |
578 |
264 |
19.7 |
13.9 |
42.2 |
Table 3.24. Mean productivity (Qt/ha) of major cereals when using improved seeds
|
Crop |
Sample Size |
Yield
(Qt/ha) |
% Difference |
||
|
Participant |
Non-Participant |
Participant |
Non-Participant |
||
|
Barley |
40 |
460 |
16.8 |
13.0 |
29.5 |
|
Maize |
558 |
861 |
24.5 |
18.2 |
34.6 |
|
Sorghum |
112 |
585 |
13.3 |
10.6 |
25.9 |
|
White tef |
43 |
480 |
9.3 |
9.6 |
-2.7 |
|
Sergegna tef |
41 |
739 |
9.4 |
8.2 |
14.0 |
|
Wheat |
210 |
606 |
19.8 |
17.3 |
14.3 |
Technology evaluation by the participating households revealed that productivity increment was medium to very high when such technologies like improved seeds, fertilizers, herbicides, insecticides, proper and timely seedbed preparation, BBM, tie-ridge, terraces, etc. were used (Annex 3.5a-d). The results showed the productivity increases that could be achieved when farmers were provided with appropriate technologies as well as information.
While commenting on the sustainability of the increased crop production, 44% of the participating households responded that the increment in production remained on the first increase and another 17% declared that the production is improving from time to time (Table 3.25). Still another 36% of the households pointed out the production has come down to its previous state. It is interesting to note that the percentage of households who reported decrease of production is negligible, suggesting the positive aspect of participating in the extension system.
|
Region |
Sample |
Decreased |
Remained
same |
Increased |
Fluctuated |
Total |
|
Tigray |
141 |
45.4 |
48.2 |
5.7 |
0.7 |
100.0 |
|
Afar |
36 |
30.6 |
58.3 |
11.1 |
0.0 |
100.0 |
|
Amhara |
570 |
31.6 |
50.2 |
17.2 |
1.1 |
100.0 |
|
Oromia |
1045 |
33.2 |
43.2 |
21.0 |
2.7 |
100.0 |
|
Somali |
12 |
41.7 |
58.3 |
0.0 |
0.0 |
100.0 |
|
B. Gumuz |
47 |
46.8 |
36.2 |
12.8 |
4.3 |
100.0 |
|
SNNPR |
284 |
50.7 |
35.2 |
9.9 |
4.2 |
100.0 |
|
Dire Dawa |
10 |
30.0 |
30.0 |
30.0 |
10.0 |
100.0 |
|
Harari |
19 |
57.9 |
26.3 |
0.0 |
15.8 |
100.0 |
|
Total |
2164 |
36.3 |
44.3 |
16.9 |
2.4 |
100.0 |
Two-third of the participating households (67%) have continued using the extension package once they had involved in the package and some 7% abandoned some of the components of the package, whereas 26% did not continue using the package (Table 3.26).
|
Region |
Sample |
Maintained |
Abandoned |
Abandoned
some of the components of the package |
Total |
|
Tigray |
175 |
78.9 |
19.4 |
1.7 |
100.0 |
|
Afar |
32 |
56.3 |
43.8 |
0.0 |
100.0 |
|
Amhara |
602 |
75.4 |
19.4 |
5.1 |
100.0 |
|
Oromia |
1114 |
64.4 |
25.3 |
10.3 |
100.0 |
|
Somali |
14 |
92.9 |
7.1 |
0.0 |
100.0 |
|
Benshangul Gumuz |
54 |
48.1 |
48.1 |
3.7 |
100.0 |
|
SNNPR |
344 |
59.6 |
36.6 |
3.8 |
100.0 |
|
Dire Dawa |
10 |
50.0 |
30.0 |
20.0 |
100.0 |
|
Harari |
23 |
34.8 |
43.5 |
21.7 |
100.0 |
|
Total |
2368 |
66.9 |
25.9 |
7.2 |
100.0 |
The problems associated with the use of improved seeds included susceptibility to insect pests, diseases, weeds and drought (21%), poor adaptation to local conditions, low quality involving poor grain quality, poor germination and mixture (24%) and low yield (8%) (Table 3.27). Lack of systematic provisions and clear ownership for maintenance of variety both during initial breeder seed multiplication and later on during repeated multiplication of the same variety for restocking may lead to deterioration of seed quality (EARO, 2000). Shortages of improved varieties for high value crops and for moisture stress areas are often noted as one of limitations of PADETES (Devereux, 2000; Fantahun and Minuye, 2000). Several studies have also indicated the need for better disease and insect tolerant varieties of crops in order to enhance the adoption of improved varieties by farmers ((Zegeye, et al. 2001b; SG2000, 2002). Poor adaptation includes that the varieties lack one or more of the traits most desired by farmers such as cooking quality, taste, etc. Thus increasing farmers’ access to their preferred varieties would result in a faster rate of diffusion through farmer-to-farmer seed exchange (Mulatu and Belete, 2001; Mulatu and Zelleke, 2001). Utilization of quality seed for planting is also the most essential factor for increased crop production and income of farmers.
Table 3.27. Major problems associated with the use of improved seeds (%)
|
Region |
Sample |
Susceptibility
to diseases & insect pests |
Low yield |
Poor
adaptation & quality |
Marketing
& distribution |
No problem |
Total |
|
Tigray |
192 |
30.7 |
5.2 |
15.6 |
1.6 |
46.9 |
100.0 |
|
Afar |
113 |
29.2 |
5.3 |
15.1 |
10.6 |
39.8 |
100.0 |
|
Amhara |
463 |
18.4 |
9.1 |
23.3 |
4.5 |
44.7 |
100.0 |
|
Oromia |
995 |
19.7 |
7.9 |
23.5 |
3.0 |
45.9 |
100.0 |
|
Somali |
41 |
9.8 |
7.3 |
29.3 |
2.4 |
51.2 |
100.0 |
|
B. Gumuz |
45 |
15.6 |
0.0 |
26.7 |
13.3 |
44.4 |
100.0 |
|
SNNPR |
390 |
23.1 |
9.0 |
31.3 |
3.0 |
33.6 |
100.0 |
|
Dire Dawa |
9 |
11.1 |
0.0 |
33.3 |
0.0 |
55.6 |
100.0 |
|
Harari |
16 |
31.2 |
0.0 |
37.5 |
0.0 |
31.3 |
100.0 |
|
Total |
2264 |
21.2 |
7.8 |
24.0 |
3.7 |
43.3 |
100.0 |
The key problems in fertilizer use included high price (39%), late supply 33%), tight credit repayment schedule (16%) and long transportation distance from the distribution center (6%) (Table 3.28). Close to three-quarter (74%) of the participating households responded to have encountered problems in fertilizer market (Table 3.29).
Table 3.28. Major problems households encountered in purchasing fertilizer (%)
|
Region |
Sample |
Late
supply |
High
price |
Tight
credit repayment schedule |
Far
located distribution centers |
Low
quality |
Others |
Total |
|
Tigray |
265 |
29.7 |
49.3 |
14.8 |
2.4 |
1.8 |
2.1 |
100.0 |
|
Afar |
67 |
28.6 |
49.0 |
18.8 |
2.6 |
0.5 |
0.5 |
100.0 |
|
Amhara |
798 |
28.9 |
45.7 |
12.5 |
9.2 |
1.8 |
1.9 |
100.0 |
|
Oromia |
1542 |
25.8 |
49.7 |
13.7 |
6.4 |
2.2 |
2.2 |
100.0 |
|
Somali |
25 |
30.2 |
42.9 |
12.7 |
7.9 |
1.6 |
4.8 |
100.0 |
|
Benshangul
Gumuz |
80 |
12.0 |
70.0 |
10.0 |
4.0 |
0.0 |
4.0 |
100.0 |
|
SNNPR |
586 |
23.3 |
54.1 |
13.2 |
4.7 |
2.5 |
2.0 |
100.0 |
|
Dire Dawa |
26 |
32.7 |
38.8 |
16.3 |
6.1 |
6.1 |
0.0 |
100.0 |
|
Harari |
40 |
31.4 |
39.2 |
19.6 |
2.0 |
3.9 |
3.9 |
100.0 |
|
Total |
3429 |
26.3 |
49.7 |
13.7 |
6.1 |
2.1 |
2.1 |
100.0 |
Table 3.29. Percentage of households’ who faced problems in fertilizer marketing
|
Region |
Sample |
Yes |
No |
Total |
|
Tigray |
265 |
37.4 |
62.6 |
100.0 |
|
Afar |
67 |
61.2 |
38.8 |
100.0 |
|
Amhara |
798 |
65.7 |
34.3 |
100.0 |
|
Oromia |
1542 |
83.9 |
16.1 |
100.0 |
|
Somali |
25 |
68.0 |
32.0 |
100.0 |
|
Benshangul Gumuz |
80 |
52.5 |
47.5 |
100.0 |
|
SNNPR |
586 |
79.4 |
20.6 |
100.0 |
|
Dire Dawa |
26 |
38.5 |
61.5 |
100.0 |
|
Harari |
40 |
82.5 |
17.5 |
100.0 |
|
Total |
3429 |
73.6 |
26.4 |
100.0 |
It is noteworthy to indicate that
various sources have shown that despite the increasing level of fertilizer
import and consumption,
Fertilizer in
With regard to the provision of farm implements, the present study revealed that the main constraints were high purchase price and maintenance cost (including poor quality leading to high unaffordable initial price and high maintenance cost) as indicated by 90% of the households and unavailability of the implements on the market (10%). Waktola (1980) also reported that technical and economic constraints were hindering wide adoption of farm implements developed by CADU/ARDU and recommended the need for establishing and operating agricultural tools/implements repair and maintenance workshops and to promote low-cost appropriate technology in order to raise the productivity and income levels in rural areas.
In the present study majority of the households (84%) used owned land for cultivation. The proportion of households renting out their land for fixed payments (0.2%) and shared cropped out (1.4%) was insignificant. Similarly, the percentage of households rented in plots for fixed payments (4%) and shared-in crop (4%) was low. Unfortunately, the percentage of households putting land for fallow, man-made woodlot, natural forest, virgin land and communal grazing land was also low. It is noteworthy that the country has suffered severe deforestation with forest cover dropping from an estimated 30% at the beginning of the last century to under 4% today. The results suggest the opportunity of employment creation for landless farmers is gloomy by renting land in or out in the rural areas.
Land degradation, as manifested
by low soil fertility, is the major problem facing Ethiopian agriculture. In the present study about 39% of the
households applied either organic or inorganic fertilizers or both to enhance
soil fertility, about 23% used crop rotation, and about 20% used various forms
of natural resources management such as agro-forestry and terracing (Annex
4.1). Mixed cropping, tree planting, agro-forestry, ridges and micro-basin
development played very low role in mitigating land degradation/soil erosion.
In
The limited practices of tree
planting and agro-forestry are unfortunate, given the fact that 39% of the
sampled households were witnessing that land degradation is a problem for their
effective crop production as well as their environment (Table 4.1). The present
study further strengthened the issue that 58% of the households identified soil
erosion as one of the major causes of land degradation. Another 24% of the
households pointed out over cultivation and 8% soil erosion by wind as the major
cause of land degradation/soil erosion. To a limited extent, overgrazing (3%),
invasive weeds (3%) and flood damage (4%) were also cited as causes of land
degradation/soil erosion. Annual soil loss in
Table 4.1. Percentage of sampled households encountered land degradation problem for their effective farming
|
Region |
Sample |
Yes |
No |
Total |
|
Tigray |
347 |
26.5 |
72.0 |
100.0 |
|
Afar |
190 |
15.8 |
56.8 |
100.0 |
|
Amhara |
988 |
39.7 |
59.8 |
100.0 |
|
Oromia |
1863 |
46.2 |
53.4 |
100.0 |
|
Somali |
99 |
43.4 |
47.5 |
100.0 |
|
Benshangul
Gumuz |
100 |
63.0 |
36.0 |
100.0 |
|
SNNPR |
847 |
24.6 |
73.1 |
100.0 |
|
Dire Dawa |
49 |
79.6 |
18.4 |
100.0 |
|
Harari |
51 |
58.8 |
37.3 |
100.0 |
|
Total |
4534 |
38.8 |
59.0 |
100.0 |
In an attempt to rehabilitate the degraded land so as to restore soil fertility, 66% of the households have used some land management practices in the 2003/04 cropping season on their farms. The commonly applied land management practices (data not shown) included, crop rotation and intercropping (28%), application of cow dung (manure) (22%), application of inorganic fertilizer (21%) and terracing (16%). Still the practices of tree planting and agro-forestry were limited, amounting to only about 4%. Other practices such as ridges, contour plowing, etc. accounted for 9%. Fortunately, majority of the households (92%) continued using whatever land management practices they have started in the past, whereas the remaining (8%) have abandoned (Data not shown). Major practices abandoned (Data not shown) included crop rotation (42%), applying inorganic fertilizer and manure (29%), fallowing (13%, as well as terracing (9%). The remaining 7% included agro-forestry, mixed cropping, and ridges. Major reasons for abandoning some of the practices (data not shown) included expensiveness of fertilizers (27%) and intensive labor requirements (25%) of most of the natural resources conservation practices such as terracing and ridging.
For majority of the households (97%), the main water source for belg crop production was found to be rain-fed and those using irrigation (river, water harvesting and dam) accounted for only 3%. Similarly, for majority of the households (98%), the main water source for meher crop production was found to be rain-fed and those using irrigation (river, water harvesting and dam) accounted for only 2%. Food insecurity is caused, in part, by shortages and the unreliability of seasonal rains. Water harvesting, when available for use in times of scarcity, will greatly contribute to food security. However, despite the proclaimed water harvesting in the media, only 32% of the interviewed households have engaged in water harvesting schemes during the period 2002/03-2003/04 (Table 4.2).
Table 4.2. Percentage of households participated in water harvesting during the period 2002/03-2003/04
|
Region |
Sample |
Participated |
Non-participated |
Total |
|
Tigray |
349 |
45.3 |
54.7 |
100.0 |
|
Afar |
192 |
9.9 |
90.1 |
100.0 |
|
Amhara |
989 |
26.6 |
73.4 |
100.0 |
|
Oromia |
1861 |
36.5 |
63.5 |
100.0 |
|
Somali |
97 |
10.3 |
89.7 |
100.0 |
|
Benshangul Gumuz |
99 |
6.1 |
93.9 |
100.0 |
|
SNNPR |
848 |
31.0 |
69.0 |
100.0 |
|
Dire Dawa |
49 |
55.1 |
44.9 |
100.0 |
|
Harari |
51 |
49.0 |
51.0 |
100.0 |
|
Total |
4535 |
32.0 |
68.0 |
100.0 |
Probably believing in the value of water harvesting, 53% of the households have a plan to construct some sort of water harvesting structure, whereas still 47% of the households do not have such a plan in the future (Table 4.3).
Those households who did not engage in constructing water harvesting structures cited the following reasons: some did not want any water harvesting (28%), some lacked water catchments (21%), some argued that water harvesting is not profitable (13%), some lacked the required skill (11%), some speculated problems related to rapid accumulation of silt (7%), some lacked the required materials (6%) and some fear wastage of water due to evapo-transpiration (6%). The remaining 8% pointed out lack of suitable land digging hole for water harvesting, lack of capacity due to old age, fear of disease development such as malaria, etc. More than one-half of the households (57%) who harvested water responded that their structures somehow held water, whereas for 43% of the households the structures could not hold water (Table 4.4). Earlier evaluation reports of water harvesting in Tigray, Amhara and Oromia showed the problem of design, shortage of construction materials, leakage, siltation, and lack of participatory approach (Oromia Bureau of Agriculture, 2003; UNDP/OCHA, 2003). The same evaluation reports indicated that water harvesting is beneficial wherever appropriately applied.
|
Region |
Sample |
Yes |
No |
Total |
|
Tigray |
172 |
38.4 |
61.6 |
100.0 |
|
Afar |
90 |
64.4 |
35.6 |
100.0 |
|
Amhara |
657 |
51.4 |
48.6 |
100.0 |
|
Oromia |
1,083 |
55.6 |
44.4 |
100.0 |
|
Somali |
76 |
89.5 |
10.5 |
100.0 |
|
Benshangul Gumuz |
85 |
57.6 |
42.4 |
100.0 |
|
SNNPR |
506 |
46.8 |
53.2 |
100.0 |
|
Dire Dawa |
20 |
65.0 |
35.0 |
100.0 |
|
Harari |
24 |
66.7 |
33.3 |
100.0 |
|
Total |
2,713 |
53.3 |
46.7 |
100.0 |
Table 4.4. Percentage of households for which the structure held water
|
Region |
Sample |
Yes |
No |
Total |
|
Tigray |
153 |
74.5 |
25.5 |
100.0 |
|
Afar |
16 |
56.2 |
43.8 |
100.0 |
|
Amhara |
259 |
70.3 |
29.7 |
100.0 |
|
Oromia |
662 |
49.5 |
50.5 |
100.0 |
|
Somali |
9 |
100.0 |
0.0 |
100.0 |
|
Benshangul Gumuz |
6 |
50.0 |
50.0 |
100.0 |
|
SNNPR |
257 |
52.9 |
47.1 |
100.0 |
|
Dire Dawa |
27 |
40.7 |
59.3 |
100.0 |
|
Harari |
24 |
54.2 |
45.8 |
100.0 |
|
Total |
1413 |
57.0 |
43.0 |
100.0 |
Close to two-third of the households (62%) who harvested water reported to have used the water, whereas 38% of the households did not use the water (Table 4.5). About two-third (64%) of those households who used the harvested water used for irrigating garden crops such as vegetables, while 36% used for other purposes (Table 4.6).
Results of the present showed that more than one-half of the households (54.5%) have faced problem during the construction of the water structures or the use of the water, whereas 45.5% reported facing no problem (Table 4.7).
Table 4.5. Percentage of households that used the harvested and stored water for some purposes
|
Region |
Sample size |
Yes |
No |
Total |
|
Tigray |
84 |
73.7 |
26.3 |
100.0 |
|
Afar |
9 |
66.7 |
33.3 |
100.0 |
|
Amhara |
180 |
49.4 |
50.6 |
100.0 |
|
Oromia |
324 |
61.7 |
38.3 |
100.0 |
|
Somali |
9 |
100.0 |
0.0 |
100.0 |
|
Benshangul Gumuz |
3 |
33.3 |
66.7 |
100.0 |
|
SNNPR |
136 |
58.8 |
41.2 |
100.0 |
|
Dire Dawa |
11 |
100.0 |
0.0 |
100.0 |
|
Harari |
13 |
100.0 |
0.0 |
100.0 |
|
Total |
799 |
61.7 |
38.3 |
100.0 |
|
Table 4.6. Purposes for which the harvested water was used (%) |
||||
|
Region |
Sample |
For planting |
For other purpose |
Total |
|
Tigray |
60 |
75.0 |
25.0 |
100.0 |
|
Afar |
4 |
75.0 |
25.0 |
100.0 |
|
Amhara |
68 |
58.8 |
41.2 |
100.0 |
|
Oromia |
136 |
58.1 |
41.9 |
100.0 |
|
Somali |
6 |
50.0 |
50.0 |
100.0 |
|
Benshangul Gumuz |
1 |
100.0 |
0.0 |
100.0 |
|
SNNPR |
57 |
70.2 |
29.8 |
100.0 |
|
Dire Dawa |
10 |
50.0 |
50.0 |
100.0 |
|
Harari |
12 |
100.0 |
0.0 |
100.0 |
|
Total |
354 |
64.4 |
35.6 |
100.0 |
The major problems encountered during the construction of the water harvesting structure included failure of water holding structures to be full being built on area without water catchments (58%), shortage of the required materials (24%) and inadequate skill and associated problems (18%) (Table 4.8). In responding whether the households have engaged in other small irrigation activities like river diversion, use of spring or well water, only 19.5% responded positively, whereas a large proportion of the households indicated that they did not engage in such endeavors (Table 4.9).
|
Region |
Sample |
Yes |
No |
Total |
|
Tigray |
146 |
45.9 |
54.1 |
100.0 |
|
Afar |
13 |
38.5 |
61.5 |
100.0 |
|
Amhara |
245 |
29.8 |
70.2 |
100.0 |
|
Oromia |
641 |
73.9 |
26.1 |
100.0 |
|
Somali |
7 |
71.4 |
28.6 |
100.0 |
|
Benshangul Gumuz |
5 |
0.0 |
100.0 |
100.0 |
|
SNNPR |
240 |
27.5 |
72.5 |
100.0 |
|
Dire Dawa |
25 |
100.0 |
0.0 |
100.0 |
|
Harari |
25 |
76.0 |
24.0 |
100.0 |
|
Total |
1347 |
54.5 |
45.5 |
100.0 |
|
Region |
Sample |
Poor water holding |
Shortage
of the required materials |
Skill
& others |
Total |
|
Tigray |
50 |
60.0 |
22.0 |
18.0 |
100.0 |
|
Amhara |
172 |
62.8 |
21.5 |
15.7 |
100.0 |
|
Oromia |
483 |
58.2 |
24.0 |
17.8 |
100.0 |
|
Somali |
38 |
44.7 |
23.7 |
31.6 |
100.0 |
|
Benshangul Gumuz |
50 |
50.0 |
40.0 |
10.0 |
100.0 |
|
SNNPRs |
280 |
58.2 |
21.4 |
20.4 |
100.0 |
|
Harari |
20 |
60.0 |
25.0 |
15.0 |
100.0 |
|
Total |
1093 |
58.2 |
23.6 |
18.2 |
100.0 |
|
Region |
Sample size |
Yes |
No |
Total |
|
|
Tigray |
339 |
34.5 |
65.5 |
100.0 |
|
|
Afar |
168 |
46.4 |
53.6 |
100.0 |
|
|
Amhara |
954 |
25.9 |
74.1 |
100.0 |
|
|
Oromia |
1768 |
16.1 |
83.9 |
100.0 |
|
|
Somali |
80 |
1.2 |
98.8 |
100.0 |
|
|
Benshangul Gumuz |
96 |
28.1 |
71.9 |
100.0 |
|
|
SNNPR |
820 |
9.0 |
91.0 |
100.0 |
|
|
Dire Dawa |
49 |
26.5 |
73.5 |
100.0 |
|
|
Harari |
46 |
2.2 |
97.8 |
100.0 |
|
|
Total |
4320 |
19.5 |
80.5 |
100.0 |
|
The most preferred irrigation types included small irrigation (36%), river diversion (32%) and water harvesting (29%), whereas development of wells was least preferred (Table 4.10).
Table 4.10. Major types of irrigation used by the sampled households (%)
|
Region |
Sample |
Water harvesting |
Small irrigation |
River diversion |
Wells development |
Total |
|
Tigray |
50 |
20.0 |
42.0 |
36.0 |
2.0 |
100.0 |
|
Amhara |
154 |
22.1 |
48.1 |
25.3 |
2.6 |
100.0 |
|
Oromia |
314 |
35.7 |
30.6 |
31.8 |
0.6 |
100.0 |
|
Somali |
8 |
0.0 |
0.0 |
100.0 |
0.0 |
100.0 |
|
SNNPR |
198 |
28.3 |
33.8 |
35.4 |
0.0 |
100.0 |
|
Harari |
20 |
30.0 |
50.0 |
20.0 |
0.0 |
100.0 |
|
Total |
744 |
29.3 |
36.0 |
32.1 |
0.9 |
100.0 |
One of the major
policy agenda of
Similarly, the results of present
study showed that there is increment in production, whenever extension packages
are used, confirming previous demonstration and adoption studies. Yet, there is
a problem of sustainability and extending the scope of the extension package in
One of the chief impediments to the use of modern agricultural inputs is the poor distribution channels as well as poor market for surplus production. As a solution to this there is a strong need to enhance the process of upgrading of rural transport in association with appropriate market development both for agricultural inputs and outputs.
Improved seed is one of the
primary requirements for enhancing crop productivity and increasing income
generation. Seed security should also come before ensuring food security to
farmers. However, the results of the present study, in agreement with several
previous studies, revealed that only about 8% of the participating households
used improved seeds and over one-half (54%) of the participating households
used own saved seed, suggesting annual fresh seed purchase to be low; still 30%
the participating households were not replacing seeds within the acceptable
period of 1-4 years. Further disturbing case is that only about 39% of the
participating households used complete package (improved seed + fertilizer +
improved cultural practices). Incomplete package is not as profitable as
complete package. The levels of participation in high value crops and natural
resources management were also found to be low in the present study. The
amounts of inorganic fertilizer used for major crops were found to be about one
quintal per hectare. Ensuring Ethiopian farmers access to quality improved seed
timely and at a reasonable price can only be achieved if there is a vibrant
seed supply system to multiply and distribute the seeds and if mechanisms of
getting effective credit is established. It seems that the formal seed system
through public and private seed sectors could not significantly do the job in
this regard. It is recommendable if farmers based-seed production and
distribution mechanism is enhanced; with cooperatives/unions playing a major
role in distributing and marketing of improved seeds that have specific
adaptation and not handled by seed enterprises. Formal seed system is usually
profit-oriented and would like to operate on principle of economy of scale and
deal with a narrow range of crop varieties. However, given that the
agro-ecologies and farming system diversity of the country no single variety
will occupy a wide area of cultivation. Seed production, distribution and
marketing for specific areas would seem to be possible only under farmers
based-seed production and marketing system. Farmers based seed production and
dissemination should receive more priority than formal seed sector in view of
the fact that no single variety will have wide adaptation for economically
profitable seed production and distribution by the formal sector. The formal
seed sector tends to focus on a few crops such as wheat and maize and on a few
varieties for which there is a large market, giving less attention to other
crops, especially pulses, oilseeds and horticultural crops. Farmers based seed
production and distribution is also suitable for Ethiopian rural condition
where transportation and other rural infrastructures are poorly developed. As
local demand for seeds of many improved varieties of crops takes off, farmers
will gain new economic opportunities in small-scale seed production. Past
experiences in
Cooperatives and unions would also play a major role in seeds, fertilizers and pesticides distribution and marketing in the sense that they will have more number of marketing outlets in remote rural areas than the already known companies in this regard. This presumption of more number of distribution and marketing outlets for cooperatives would solve the lack of demand-supply determination in the use of agricultural inputs and the carry-over that the companies are currently facing. Carry-over, for both seeds and fertilizers, is because of poor distribution channels and inadequate demonstration and promotion, rather than due to lack of demand in real sense.
Many agricultural research
centers have been established to assist in development efforts by way of
developing and disseminating research-based technologies. Yet, there are many
agriculturally potential areas and moisture stress areas that did not receive
adequate research services. Since agro-ecologies and farming systems are highly
variable in
Along with the supplies of
improved seeds, fertilizers and other agricultural inputs, rural infrastructure
conditions in
In the present study, diseases and insect pests have been rated as major production constraints by farmers. As a solution, diversification of production system is imperative. The diversified production system should involve crop rotation, frequent replacement of varieties of the same crop and effective use of integrated disease, insect pests and weed management. Crop rotation, involving cereals, pulses, oilseeds and horticultural crops, must be practiced to reduce disease, insect and weed incidences, to improve soil fertility and to enhance productivity. Crop rotation is part of a sustainable cropping system, which is characterized by efficient use of nutrients through recycling of nutrients in crop residues, minimizing leaching losses, promoting biological nitrogen fixation and low levels of fertilizer inputs. The present study revealed that high fertilizer price is one of the constraints in using fertilizers and they also apply less than required without also taking into account annual nutrient removal. Practices such as crop rotation, application of green manure and organic fertilizers may compensate for nutrients removed by the previous crop. It is to be noted that organic wastes, manure and biological nitrogen fixation are among the principal sources of nitrogen, which is the most deficient in almost all soils but highly essential for plant growth and development. Conservation-oriented cropping systems such as agro-forestry should be promoted for not only land conservation but also for fodder for livestock and fuel supply. Soil-test based fertilizer recommendation is exceedingly required through strengthening the capacity of the 17 regional soil laboratories.
The use of BBM
should substantially be increased as it improves the drainage problem of
vertisols. Vertisols are the most important soils for agriculture next to
nitosols and cambisols in
Developing location or agro-ecology specific technologies and effective utilization of such technologies by farmers should also accord due attention. This is because the results from the present study showed that one of the limitations in adoption of technologies is the poor adaptation of the technologies to the specific environmental settings of the farmers. The poor adaptation is manifested biologically, socially and economically. Post harvest losses should also be reduced by adapting simple storage and processing technologies. Extending extension services more and more into the lowlands (moisture stressed arid and semi arid areas) by of making available improved drought tolerant crops, increased access to credit, increased small scale irrigation schemes and enhanced natural resources conservation and utilization so as to ensuring food security.
The extent of
irrigation was found to be 2% in meher and 3% in belg, indicating that
It is generally believed that sufficient technology and information have been generated by the national research system during the past 50 years to make a substantial impact on productivity in highland potential areas at least. However, the smallholder farmers have not benefited much from such technology and information to the required extent because of weak linkage between research and extension. Thus it is strongly recommended to strengthen the linkage by improving and making responsible research extension advisory council and expanding farmers' research group, farmers' extension group and forming a formal linkage with farmers training centers for demonstration of emerging research-based technologies. Such linkages should make concerted effort towards realizing the potential of improved technology and information that are being accumulating at the research centers.
On the whole, in
The present study and review of past studies by Degefe and Nega (2000), implied that for longer term food security in Ethiopia there should be promotion of wide scale adoption of research-based technologies and fertilizers to increase crop productivity, which should be accompanied by improved infrastructure (rural roads, small and medium irrigation schemes, rural electrification) and marketing of inputs and outputs (including market sites, storage facilities). However, given the inherent vulnerability of the agricultural sector, due attention should be given to significantly increasing growth in other sectors such as agro-industry, income diversification by way of off-farm activities, community-based tourism, and other services.
The following implications are
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Annex 2.1. Frequency of sampled households by region zone and woreda
|
Region |
Zone |
Woreda |
Frequency |
Percent |
|
Afar |
Zone 1 (Afar) |
Asaita |
54 |
1.18 |
|
Chifra |
46 |
1.00 |
||
|
Zone 3 (Afar) |
Amibarra |
50 |
1.09 |
|
|
Awash Fentale |
50 |
1.09 |
||
|
Subtotal |
|
|
200 |
4.36 |
|
Amhara |
Awi |
Dangla |
49 |
1.07 |
|
E.Gojam |
Baso Liben |
49 |
1.07 |
|
|
Dejen |
51 |
1.11 |
||
|
Enemay |
49 |
1.07 |
||
|
N. Shewa (Amhara) |
Debre Brehan Zuria |
50 |
1.09 |
|
|
Insarona Wayu |
45 |
0.98 |
||
|
Gonder Zuria |
51 |
1.11 |
||
|
N.Gonder |
Wegera |
49 |
1.07 |
|
|
N.Wello |
Habru |
50 |
1.09 |
|
|
Kobbo |
49 |
1.07 |
||
|
Meket |
51 |
1.11 |
||
|
S.Wello |
Ambassel |
51 |
1.11 |
|
|
Dessie Zuria |
50 |
1.09 |
||
|
Legambo |
51 |
1.11 |
||
|
Were Illu |
49 |
1.07 |
||
|
W.Gojam |
Achefer |
50 |
1.09 |
|
|
Bahir Dar |
50 |
1.09 |
||
|
Bure Wonberma |
50 |
1.09 |
||
|
Merawi |
50 |
1.09 |
||
|
Wag himera |
Ziquala |
50 |
1.09 |
|
|
Subtotal |
|
|
994 |
21.67 |
|
Benshangul Gumuz |
Assosa |
Assosa |
50 |
1.09 |
|
Metekel |
Pawe |
50 |
1.09 |
|
|
Subtotal |
|
|
100 |
2.18 |
|
Dire Dawa |
DireDawa |
Diredawa-Zuria |
50 |
1.09 |
|
Subtotal |
|
|
50 |
1.09 |
|
Harari |
Harari |
Harari |
48 |
1.05 |
|
Harari |
2 |
0.04 |
||
|
Subtotal |
|
|
50 |
1.09 |
Annex 2.1. Continued.
|
Region |
Zone |
Wereda |
Frequency |
Percent |
|
Oromia |
Arsi |
Gedeb |
53 |
1.16 |
|
Hitosa |
48 |
1.05 |
||
|
Kofele |
49 |
1.07 |
||
|
Limu Bilbilio |
48 |
1.05 |
||
|
Tiyo |
51 |
1.11 |
||
|
Bale |
Adaba |
50 |
1.09 |
|
|
Sinanana Dinsho |
50 |
1.09 |
||
|
Borena |
Moyale |
51 |
1.11 |
|
|
E.Hararge |
Alemaya |
49 |
1.07 |
|
|
Babile |
51 |
1.11 |
||
|
Deder |
50 |
1.09 |
||
|
|
Fedis |
49 |
1.07 |
|
|
E.Shewa |
Ada'a |
50 |
1.09 |
|
|
Akaki |
51 |
1.11 |
||
|
Dugda Bora |
48 |
1.05 |
||
|
Gimbichu |
50 |
1.09 |
||
|
Shashamene |
51 |
1.11 |
||
|
E.wellega |
Horo |
50 |
1.09 |
|
|
Guji |
Liben |
50 |
1.09 |
|
|
Illubabor |
Metu |
49 |
1.07 |
|
|
Jimma |
Dedo |
50 |
1.09 |
|
|
Goma |
50 |
1.09 |
||
|
Kersa |
50 |
1.09 |
||
|
N.Shewa (Oromia) |
Abichuna Gne'a |
49 |
1.07 |
|
|
Degem |
45 |
0.98 |
||
|
Gerar Jarso |
55 |
1.20 |
||
|
Wuchalena Jedu |
54 |
1.18 |
||
|
W. Shewa |
Ada Berga |
51 |
1.11 |
|
|
Alem Gena |
50 |
1.09 |
||
|
Ambo |
49 |
1.07 |
||
|
Bacho |
50 |
1.09 |
||
|
Bako Tibe |
39 |
0.85 |
||
|
Welisona Goro |
50 |
1.09 |
||
|
Welmera |
50 |
1.09 |
||
|
W.Hararge |
Alemaya |
1 |
0.02 |
|
|
Kuni |
50 |
1.09 |
||
|
Mieso |
50 |
1.09 |
||
|
W.Welega |
Begi |
50 |
1.09 |
|
|
Gimbi |
50 |
1.09 |
||
|
Subtotal |
|
|
1891 |
41.23 |
Annex 2.1. Continued.
|
Region |
Zone |
Wereda |
Frequency |
Percent |
|
SNNPRS |
Alaba |
Alaba |
50 |
1.09 |
|
Amaro |
Amaro |
50 |
1.09 |
|
|
Bench Maji |
Meinit |
49 |
1.07 |
|
|
Gedio |
Bule |
47 |
1.02 |
|
|
Wenago |
53 |
1.16 |
||
|
Yirga Chefe |
50 |
1.09 |
||
|
Gurage |
Gumer |
48 |
1.05 |
|
|
Hadiya |
Badawoch |
50 |
1.09 |
|
|
Misha |
50 |
1.09 |
||
|
Soro |
50 |
1.09 |
||
|
Keficho Shekicho |
Chena |
51 |
1.11 |
|
|
Kembata Alaba T |
Angacha |
51 |
1.11 |
|
|
Sidama |
Aleta Wondo |
50 |
1.09 |
|
|
AWASSA
(Incl. Wendogenet) |
50 |
1.09 |
||
|
Silte |
Silti |
50 |
1.09 |
|
|
wollaita |
Boloso Sorie |
53 |
1.16 |
|
|
Sodo Zuria |
50 |
1.09 |
||
|
Subtotal |
|
|
852 |
18.57 |
|
Somali |
Jijiga |
Jijiga |
50 |
1.09 |
|
Kebre Beya |
50 |
1.09 |
||
|
Subtotal |
|
|
100 |
2.18 |
|
Tigray |
C.Tigray |
|
50 |
1.09 |
|
E.Tigray |
Awlalo |
50 |
1.09 |
|
|
Hawzien |
50 |
1.09 |
||
|
S.Tigray |
Alamata |
50 |
1.09 |
|
|
Enda Mekhoni |
50 |
1.09 |
||
|
Raya Azebo |
50 |
1.09 |
||
|
W.Tigray |
Kafta Humera |
50 |
1.09 |
|
|
Subtotal |
|
|
350 |
7.63 |
|
Total |
|
|
4587 |
100.00 |
|
Region |
Sample |
1994/95 |
1995/96 |
1996/97 |
1997/98 |
1998/99 |
1999/00 |
2000/01 |
2001/02 |
2002/03 |
2003/04 |
Total |
|
Tigray |
161 |
3.7 |
4.3 |
5.6 |
8.1 |
3.1 |
9.3 |
6.2 |
10.6 |
18.7 |
30.4 |
100 |
|
Afar |
39 |
10.3 |
0 |
5.1 |
7.7 |
0 |
5.1 |
48.7 |
7.7 |
10.3 |
5.1 |
100 |
|
Amhara |
537 |
6.3 |
5.6 |
6.7 |
14.2 |
14.3 |
12.2 |
9.7 |
10.8 |
18.2 |
2 |
100 |
|
Oromia |
1043 |
4 |
6.8 |
7.3 |
10.8 |
9.3 |
11.7 |
14.5 |
12.8 |
13.8 |
9 |
100 |
|
Somali |
13 |
7.7 |
7.7 |
7.7 |
30.8 |
7.7 |
15.4 |
15.3 |
0 |
7.7 |
0 |
100 |
|
B. Gumuz |
55 |
1.8 |
1.8 |
7.3 |
5.5 |
12.7 |
16.4 |
12.7 |
12.7 |
25.5 |
3.6 |
100 |
|
SNNPR |
347 |
4.3 |
4.3 |
6.1 |
9.8 |
8.6 |
11 |
14.7 |
11.8 |
20.2 |
9.2 |
100 |
|
Dire Dawa |
11 |
0 |
18.1 |
0 |
9.1 |
0 |
9.1 |
18.2 |
27.3 |
18.2 |
0 |
100 |
|
Harari |
23 |
0 |
4.3 |
8.7 |
13 |
8.7 |
13 |
13 |
26.1 |
13.2 |
0 |
100 |
|
Total |
2229 |
4.3 |
5.8 |
6.5 |
11.5 |
9.1 |
11.5 |
14.4 |
12.4 |
16.3 |
8.2 |
100 |
Annex 3.2. Extension packages in which sampled households have been participated
|
Region |
Sample |
Cerealsa |
Pulsesb |
Vegetablesc |
Root
& tubersd |
Oilseedse |
Fruitsf |
Coffee |
Post
harvest |
Farm
implements |
Natural
resources |
Livestock |
Total |
|
Tigray |
251 |
50.2 |
6.4 |
2.4 |
0.8 |
5.1 |
3.6 |
2.4 |
0.4 |
0.4 |
9.2 |
19.1 |
100 |
|
Afar |
102 |
59.3 |
7 |
5 |
4 |
6 |
3 |
3 |
0 |
0 |
0 |
12.7 |
100 |
|
Amhara |
653 |
56 |
1.8 |
4.6 |
2.1 |
2.8 |
2 |
0.5 |
0.7 |
0.2 |
3.7 |
25.6 |
100 |
|
Oromia |
1323 |
62.8 |
4.3 |
3.6 |
2.6 |
3.4 |
1 |
1.1 |
0.7 |
0.1 |
3.8 |
16.6 |
100 |
|
Somali |
65 |
63.1 |
4.6 |
3.1 |
1.6 |
1.5 |
0 |
1.5 |
0 |
0 |
3.1 |
21.5 |
100 |
|
B. Gumuz |
57 |
52.6 |
3.5 |
7 |
1.8 |
12.3 |
0 |
0 |
0 |
1.8 |
10.5 |
10.5 |
100 |
|
SNNPR |
553 |
60.2 |
2 |
4.5 |
4.9 |
4.7 |
1.1 |
0.9 |
0.7 |
0.2 |
6.3 |
14.5 |
100 |
|
Dire Dawa |
36 |
66.7 |
0 |
5.6 |
2.8 |
5.5 |
0 |
0 |
0 |
0 |
0 |
19.4 |
100 |
|
Harari |
31 |
64.5 |
6.5 |
3.2 |
0 |
12.9 |
0 |
0 |
0 |
0 |
6.4 |
6.5 |
100 |
|
Total |
3071 |
59.7 |
3.3 |
4.3 |
2.8 |
3.9 |
1.4 |
1.1 |
0.6 |
0.2 |
4.6 |
18.1 |
100 |
a barley, maize, sorghum, tef, wheat, finger
millet; b chickpea, faba bean, field pea, haricot bean, lentil and soybean ; C
pepper, tomato, head cabbage, carrot, onion, shallot, garlic; d potato,
sweet potato, enset; e Noug, linseed, gomenzer, groundnut, sesame; f
banana, mango, avocado.
Annex 3.3. Percentage of households who used recommended crop production extension packages
|
Region |
Sample |
Improved
seeds + Fertilizer + Improved practices |
Improved
seeds + Fertilizer + Local practices |
Improved
seeds + No fertilizer + Local practices |
Local
seed + Fertilizer + Improved practices |
Local
seed + Fertilizer + Local practices |
Local
seeds + No fertilizer Improved practice s |
Local
seeds + No fertilizer + Local
practices |
Total |
|
Tigray |
205 |
36.6 |
18.0 |
3.4 |
6.3 |
32.7 |
2.0 |
1.0 |
100.0 |
|
Afar |
128 |
46.1 |
29.7 |
3.1 |
6.3 |
10.2 |
2.3 |
2.3 |
100.0 |
|
Amhara |
605 |
38.7 |
21.0 |
7.1 |
7.1 |
19.2 |
1.7 |
5.1 |
100.0 |
|
Oromia |
1091 |
36.3 |
25.9 |
6.5 |
6.8 |
19.3 |
1.4 |
3.8 |
100.0 |
|
Somali |
47 |
25.5 |
38.3 |
12.8 |
10.6 |
4.3 |
0.0 |
8.5 |
100.0 |
|
B. Gumuz |
26 |
26.9 |
11.5 |
11.5 |
30.8 |
15.4 |
0.0 |
3.8 |
100.0 |
|
SNNPR |
457 |
42.5 |
22.1 |
9.0 |
9.6 |
13.1 |
0.7 |
3.1 |
100.0 |
|
Dire Dawa |
26 |
84.6 |
3.8 |
0.0 |
0.0 |
11.5 |
0.0 |
0.0 |
100.0 |
|
Harari |
26 |
42.3 |
26.9 |
3.8 |
7.7 |
19.2 |
0.0 |
0.0 |
100.0 |
|
Total |
2611 |
38.7 |
23.6 |
6.7 |
7.5 |
18.4 |
1.3 |
3.7 |
100.0 |
Annex 3.4. Major reasons
why the participating households abandoned using extension
packages (%)
|
Region |
Sample |
Package
is unprofitable |
Lack of
access to credit |
Low grain
price |
Less DA
visit |
Program
stopped by authorities |
Fear of
rain shortage |
High
price of inputs |
Others |
Total |
|
Tigray |
32 |
37.5 |
6.3 |
9.4 |
3.1 |
3.1 |
15.6 |
0.0 |
25.0 |
100.0 |
|
Afar |
41 |
14.6 |
46.3 |
29.3 |
4.9 |
2.4 |
2.4 |
0.0 |
0.0 |
100.0 |
|
Amhara |
164 |
15.9 |
25.6 |
31.7 |
6.7 |
1.8 |
6.1 |
7.3 |
4.9 |
100.0 |
|
Oromia |
447 |
18.6 |
29.8 |
23.5 |
8.3 |
4.0 |
8.3 |
2.9 |
4.7 |
100.0 |
|
Somali |
23 |
43.5 |
13.0 |
13.0 |
8.7 |
0.0 |
8.7 |
13.0 |
0.0 |
100.0 |
|
B. Gumuz |
19 |
31.6 |
10.5 |
52.6 |
5.3 |
0.0 |
0.0 |
0.0 |
0.0 |
100.0 |
|
SNNPR |
183 |
13.7 |
27.9 |
26.8 |
9.8 |
2.2 |
12.0 |
5.5 |
2.2 |
100.0 |
|
Dire Dawa |
12 |
16.7 |
25.0 |
50.0 |
0.0 |
0.0 |
8.3 |
0.0 |
0.0 |
100.0 |
|
Harari |
13 |
7.7 |
15.4 |
15.4 |
15.4 |
0.0 |
23.1 |
23.1 |
0.0 |
100.0 |
|
Total |
934 |
18.3 |
27.5 |
25.9 |
7.9 |
2.9 |
8.7 |
4.4 |
4.4 |
100.0 |



Annex 4.1. Land management practices commonly used by the sampled households to protect land degradation (%)
|
Region |
Sample |
Application
of inorganic & organic
fertilizers |
Crop rotation |
Intercropping |
Fallowing |
Natural resources management* |
Irrigation development |
Did not practice any land management |
Total |
|
Tigray |
350 |
34.9 |
27.5 |
1.0 |
2.7 |
18.6 |
5.8 |
9.5 |
100.0 |
|
Afar |
200 |
38.0 |
33.0 |
2.5 |
4.5 |
14.5 |
3.5 |
4.0 |
100.0 |
|
Amhara |
950 |
36.3 |
22.6 |
1.1 |
7.0 |
23.9 |
1.8 |
7.3 |
100.0 |
|
Oromia |
1889 |
40.0 |
22.7 |
3.6 |
5.9 |
19.5 |
1.6 |
6.7 |
100.0 |
|
Somali |
100 |
46.0 |
17.0 |
2.0 |
4.0 |
10.0 |
0.0 |
21.0 |
100.0 |
|
B. Gumuz |
100 |
38.0 |
10.0 |
6.0 |
4.0 |
21.0 |
3.0 |
18.0 |
100.0 |
|
SNNPR |
852 |
38.9 |
21.9 |
3.3 |
5.6 |
17.9 |
1.6 |
10.8 |
100.0 |
|
Dire Dawa |
50 |
48.0 |
28.0 |
0.0 |
2.0 |
22.0 |
0.0 |
0.0 |
100.0 |
|
Harari |
51 |
41.1 |
29.4 |
0.0 |
11.8 |
17.7 |
0.0 |
0.0 |
100.0 |
|
Total |
4587 |
38.6 |
23.4 |
2.7 |
5.7 |
19.7 |
1.9 |
8.0 |
100.0 |