Livestock Research for Rural Development 13 (6) 2001 | Citation of this paper |
The area of study is Oyo State in Nigeria. A multistage random sampling technique was used to select the studied farmers who were organised in groups. From the study, it was discovered that 79% of the respondents were male and 84% Christians, 66% married and 60% who lacked formal education. Most of the farmers (57%) cultivated below 1.6 ha of farmland. Almost 37% of the farmers belonged to one cooperative society, with 70% paying their dues.
About 40% of the respondents had low perception of livestock production technologies while 51% of them were aware of these technologies. Farmers obtained all information through friends and family members. Their inability to have contact with extension agents affected their perception and awareness of the technologies.
Agricultural
research is the most important single determinant of agricultural development in
sub-Saharan Africa. This is because no nation has been known to achieve any meaningful
progress in agricultural growth without huge investment in agricultural research. In
Nigeria, the food agriculture and natural resources sector occupies a central position in
the economic structure. Consequently, its development has obvious implication for overall
development (Ekpere 1995). Agriculture contributes 34% to the gross domestic product
(GDP), 40% of exports and 70% of employment. The Central Bank of Nigeria (CBN 1990) noted
that if Nigeria is to meet its food requirement and generate financial resources needed
for its overall development programme, it must improve its agricultural performance.
Technology development through research is the main stay of agricultural development and
if it is removed the agricultural system would collapse. New technologies have to be
constantly developed if farmers are to continue farming.
The last twenty
years have witnessed heavy investment in agricultural research and development of new
technologies in Nigeria. The national and international research centres have reported
significant yield increases in many crops. Insect pest and disease damage to animals and
crops have been brought under control. However, farmers remain unaware and have low
perception of the skill to take full advantage of these technologies (Ekpere 1995). An
ineffective extension service has been partly blamed for this deficiency as well as lack
of support services and other factors that make it unprofitable for farmers to accept and
implement new technologies (International Institute of Tropical Agriculture 1993,
unpublished). Agricultural research in Nigeria has suffered a significant set back on the
basis of how research results are perceived by the farmers. This has made it imperative
that farmer perception of research results be considered.
In order to
revitalize the agricultural research system in Nigeria and make it relevant to the final
users, the National Agricultural Research Project (NARP) was launched in 1992 by the
Federal Ministry of Agriculture and Natural Resources (FMANR 1997) with the assistance of
the World Bank. The government was determined to increase the agricultural production
beyond the peak attained and ensure that it was technology-oriented.
Technologies are
effective only when they are used. No matter how well new technologies work on research
stations, if farmers do not have access to them, their development would have been in vain
(Bremer et al 1989). The agricultural research system must therefore conceptualise an
effective mechanism and capacity to not only implement the transfer of results but also to
measure the farmers perception of these technologies.
The interest shown
by government in agricultural research has been tremendous. This is demonstrated by the
large number of agricultural research institutes in the country (Lucas et al 1997). There
are also more than 20 Universities, which offer studies in agriculture and forestry. These
universities are all involved in both basic and applied research. However, the full
potentials of agricultural research in Nigeria has not been attained. The desire for
sustainable food production remains a mirage (Lucas et al 1997). Farmers have different
perceptions as to the appropriateness of research results. In most cases, researchers test
their findings under strictly controlled environment with total disregard for the farmer
ways of farming.
Scientists
understanding of farmer perception about technology is often clouded by misleading
metaphor by which the process of technology development and delivery are described.
Farmers tend to be seen as passive recipients and users of technology developed by other
people. At best, it is acknowledged that some feedback on farmer reaction to a new
technology is desirable in order to refine that technology but this is likely to be
regarded as a need for mere fine turning. These metaphors are misleading because farmers
are not passive consumers but active problem solvers who in fact develop for themselves
most of the technologies they use (Kaimowitz and Merril-Sands 1989). For many hundreds of
years, before todays National Agricultural Research systems were set up, farmers
undertook their own research and integrated technology from different sources and
continued to adapt it on their farms. This implies that technology used by farmers is a
complex product which undergoes constant changes (Kaimowitz and Merril-Sands 1989).
However, as technology is developed and used, the production system changes. A new
constraint becomes most limiting for which a new technology must be developed.
The main objective
of the study was to analyze the perception of farmers of the relevance of technologies
generated by research institutes in Oyo State. In order to meet this objective, the
following specific objectives were formulated.
To identify the
demographic characteristics of the farmers
To determine the
level of perception of farmers to the relevance of agricultural technologies.
To ascertain the
level of awareness of agricultural technologies by farmers
The area of study
is Oyo State is covered by Oyo-State Agricultural Development Programme (ADP) with four
zones namely; Shaki, Ogbomoso, Oyo and Ibadan/Ibarapa. The farmers who were studied were
organised into groups. The formation of the groups was necessitated by limited number of
extension agents available after withdrawal of funds by the World Bank, which had been
used to finance the ADP.
A multistage
random sampling technique was used to select the studied farmers. Ogbomoso and Oyo zones
were purposively selected for they were regarded as the food basket of Oyo state. The
membership strength of the farmers was compiled (1190) and ten percent of the farmers were
randomly selected (119). Data were obtained using an interview schedule for the sampled
farmers and structured questionnaires. The data collected from the questionnaires were
analyzed using the statistical tools such as frequency counts, percentages, Chi-Square and
Pearson Product Moment Correlation.
Males (80%) were
more prominent in farming activities than females (Table 1). The lower proportion of
female farmers could be due to the fact that women preferred to trade and their inability
to get their own farmland. The high percentage of male farmers may be due to their access
to farmland and their position as head of family. These results agree with the work of
Oguntola (1998) who concluded that farming is a male-dominated profession.
The distribution
of age (Table 1) revealed that only 15% of the farmers were aged less than 30 years. This
may be adduced to the fact that young people preferred white collar jobs, which caused a
significant rural-urban migration. Presumably, the higher proportion of old people could
be explained by the fact that they are custodians of tradition, which agrees with the work
of Ekong (1988). He concluded that the population of old people is the most predominant in
farming communities in Nigeria.
The population was
predominantly (75%) Christian, with the remainder being Muslims. This scenario was
probably brought by the churches that introduced schools and hospitals to the people.
Young people may have been enticed by the various Christian organisations like Boys
Brigade and Girls Guides which are designed to improve their physical and mental alertness
as well as their social standing. The high percentage (84%) of the farmers that were
married may be as a result of the belief of the local people that married people are more
responsible. In addition, most people probably married in order to raise large families
that would supply labour on the farm. However, only 3% of the farmers were widowed.
Table 1: Demographic characteristics of respondents ( n = 119) |
|||
Item |
Variables |
Frequency |
Percentage |
Gender |
|||
|
Male |
95 |
79.8 |
|
Female |
24 |
20.2 |
Age,
years |
|||
|
Below 30 |
16 |
15.1 |
|
31-50 |
33 |
21.7 |
|
51 - 70 |
68 |
57.1 |
Religion
|
|||
|
Christian |
89 |
74.8 |
|
Islamic |
30 |
25.2 |
Marital
status |
|||
|
Widow |
4 |
3.4 |
|
Married |
100 |
84.0 |
|
Single |
7 |
5.9 |
|
No response |
8 |
6.7 |
Educational
level |
|||
|
Primary |
35 |
29.4 |
|
Secondary |
6 |
5.0 |
|
No formal education |
78 |
65.5 |
Farm size, ha |
|||
|
Below 1.6 |
68 |
57.1 |
|
1.6 - 4 |
37 |
31.1 |
|
Above 4 |
14 |
11.8 |
Social
participation |
|
|
|
|
No group |
15 |
12.6 |
|
One group |
44 |
37.0 |
|
Two groups |
28 |
23.5 |
|
More than two groups |
32 |
26.9 |
Position held |
|||
|
No position |
42 |
35.3 |
|
Committee member |
47 |
39.5 |
|
Executive |
30 |
25.2 |
Payment of dues |
|||
|
Yes |
83 |
69.7 |
|
No |
36 |
30.3 |
Frequency of payments |
|||
|
Not always |
15 |
12.6 |
|
Occasionally |
26 |
21.8 |
|
Often |
42 |
35.3 |
|
No response |
36 |
30.3 |
About 66% of the
respondents had no formal education. This
could reflect the low levels of literacy of people in the area. Approximately 5% of the
farmers had secondary education. This could be due to financial constraints and the fact
that the population of farmers that are young was very low.
It was found that
37% of the respondents belonged to a group of a cooperative. This could be due to the
belief of the people that cooperative society and social groups were significant factors
in farmer livelihood. This is because the group they belong to easily influences most of
the farmers. Olujide (2000) also argued that farming pattern is related to the social
group a farmer belonged to. Another reason
could be that most farmers had no access to extension agents, implying that the group they
belonged to served as the ready source of information for them. In this study, almost 13%
of the respondents did not belong to any social group. Probably, these farmers did not
have sufficient finance or were ignorant of the importance of social groups and
cooperative societies.
Of the study
population, 35% did not hold any position in their various societies while 40% belonged to
one committee or another. The large proportion of those that were in a committee could be
due to their exposure to extension agents and their participation as contact farmers. This
appears to support the view held by Olujide (2000) that before any innovation is
introduced to farmers, their leaders' support should be sought so as to give
legitimization to the agent to introduce the innovation.
The percentage
awareness of technologies was very high except for some no responses and 3.4% who
were not aware of simple housing design for rabbit rearing. This may be due to the fact
that the farmers saw these technologies as a means of enhancing their dwindling fortunes
and increasing their sources of protein. Use of local material for mange treatment and
modified raised platform floor for sheep and goats have highest proportion of continued
usage 51 and 50% of the households, respectively. Mange was very predominant in this area
and a cheaper method of treating was required.
Table 2: Respondent
perception and awareness to livestock production technologies* |
|||||||||
|
Perception |
Awareness |
|||||||
List of Technologies |
Very |
Somewhat |
Not |
Non response |
Not aware |
Aware |
Aware Not using now |
Aware still using |
Non response |
Feed block for ruminants |
30(25.2) |
24(20.2) |
0 (0) |
65 (54.6) |
0 (0) |
78(65.5) |
0 (0) |
30(25.2) |
11(9.2) |
Local alkali for farm residue treatment |
33(27.7) |
30(25.2) |
0 (0) |
56(47.1) |
0 (0) |
81(68.1) |
28(23.5) |
0 (0) |
10(8.4) |
Complete diet for ruminant from crop residue |
49(41.2) |
25(21.0) |
0 (0) |
45(37.8) |
0 (0) |
50(42.0) |
39(32.8) |
19(16.0) |
11(9.2) |
Use of local materials for treatment |
42(35.3) |
23(19.3) |
0 (0) |
54(45.4) |
0 (0) |
17(14.3) |
32(26.9) |
59(49.6) |
11(9.2) |
Modified raised platform for sheep/goats |
36(30.3) |
7(5.9) |
5(4.2) |
71(59.7) |
0 (0) |
17(14.3) |
36(30.3) |
61(51.3) |
5(4.2) |
Simple housing design for snail rearing |
14(11.8) |
17(14.3) |
0 (0) |
88(73.9) |
0 (0) |
5(4.2) |
64(53.8) |
50(42.0) |
0 (0) |
Simple housing design for rabbit rearing |
19(16.0) |
12(10.1) |
0 (0) |
88(73.9) |
4(3.4) |
19(16.0) |
51(42.9) |
45(37.8) |
0 (0) |
Least cost feed |
21(17.6) |
5(4.2) |
0 (0) |
93(78.2) |
0 (0) |
15(12.6) |
74(62.2) |
25(21.0) |
5(4.2) |
* Percentages in parenthesis |
People will adopt
a technology that will sustain their means of livelihood. This seems to be corroborated by
Ndaghu (2000) who concluded that farm families engaged in strategies designed to alleviate
poverty.
Family members and
friends, radio and television were the only sources of information to the farmers in the
study area (Table 3). This scenario could be related to the inter-personal relationships
and contact between the farmers and family members.
Table 3 : Respondents' sources of information |
|||||||||||
Sources |
Yes |
No |
No Response |
Frequently |
Occasionally |
Rarely |
No Response |
||||
Radio and Television |
119(100) |
0 (0) |
0 (0) |
65(54.6) |
54(45.4) |
0 (0) |
0 (0) |
||||
Newspaper |
41(34.5) |
67(56.3) |
11(9.2) |
5(4.2) |
15(12.6) |
21(17.6) |
78(65.5) |
||||
Family members and friends |
119(100) |
0 (0) |
0 (0) |
104(87.4) |
15(12.6) |
0 (0) |
0 (0) |
||||
Extension agents |
63(52.9) |
51(42.9) |
5(4.2) |
10(8.4) |
32(26.9) |
21(17.6) |
56(47.1) |
||||
Table 4 shows the
significance of farmers basic characteristics to the relevance of the technologies.
Gender, age, and marital status were not important determinants of farmers
perception of the technologies. This means that these characteristics did not influence
the perception of the farmers to the relevance of these technologies. All farmers require
the technologies on their farms irrespective of their sex and age. On the other hand,
religion, level of education, farm size, and social group, all significantly influenced
the perception of farmers on the relevance of these technologies.
Table 4: Chi-Square
Analysis of Demographic Characteristics and Perception of technologies |
||||
Variables |
X2 |
df |
p |
Decision |
Gender |
0.75 |
1 |
0.39 |
Not significant |
Religion |
1.63 |
2 |
0.44 |
Not significant |
Age |
22.0 |
1 |
0.00 |
Significant |
Marital status |
3.29 |
3 |
0.35 |
Not significant |
Educational level |
13.6 |
2 |
0.001 |
Significant |
Farm size |
29.0 |
9 |
0.0006 |
Significant |
Social participation |
21.6 |
4 |
0.0002 |
Significant |
This observation
can be explained by the fact that religion predisposes the farmers to education, more
information and easy contact with people. The
more educated one is, the more receptive he/she is of new ideas. His/her scope also
widens. It is also possible that, the more education one has, the better his/her
perception of the relevance of technologies would be.
If someone is in
social group he/she is easily influenced by the group. His/her livelihood system is
enhanced and their farming pattern is improved. The relationship between awareness
and perception of technologies was tested with the PPMC statistics. The result shows there
is no significant relationship between the awareness of livestock technologies and the
perception of its relevance by farmers (r = 0.28, p < 0.05). However, a
significant relationship was recorded between the source of information and perception (r
= 0.62, p < 0.05). This means that the lower amount of information received from the
source the lower the farmer perception and vice versa.
It was observed
that the perception of farmers of the relevance of technologies was not only affected by
the basic characteristics of the farmers but also by the source of awareness. The study
has revealed that most farmers were aware of the use of technologies and their perception
was relatively high, however their perception was constrained by socio-cultural factors.
In order to alleviate these constraints the following recommendations should be
considered:
Government and
research institutes should endeavour to embark on enlightenment campaign on the usefulness
of these technologies, that is, the source of information to farmers should be increased.
Pre-test of
these technologies should be carried out in the areas where they are to be introduced.
This will help the research institutes to relate the relevance of their technologies to
the target area.
The research
institutes should endeavour to send out agents from time to time to get the view of the
farmers on technologies being promoted.
The needs
of farmers should be assessed before any technologies are introduced to them as this would
enable the researchers to know better the farmer needs.
Livestock, crops
and equipment that are traditionally used by farmers should be made the basis of new
technologies, as this would entice the farmers to use what they are already familiar with.
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Received 11 May 2001