Titus O. Magomere

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Farmer participation in adoption of horticultural innovations in Kenya: A comparison of Kakamega and Machakos district. Titus O. Magomere

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Titus O. Magomere. Farmer participation in adoption of horticultural innovations in Kenya: A comparison of Kakamega and Machakos district. Introduction. Modern agricultural technology is not applied optimally in small scale agriculture. - PowerPoint PPT Presentation

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Farmer participation in adoption of horticultural innovations in Kenya:

A comparison of Kakamega and Machakos district.

Titus O. Magomere

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Introduction

Modern agricultural technology is not applied optimally in

small scale agriculture.

Attributed to Non-adoption of technologies and innovations is

still identified as an important constraint in the small scale

agricultural sector.

Caused by several several factors including

Approach taken by research institutions and the universities to

create, deliver, implement and evaluate such technologies,

Farmer deficiencies in the adoption and internalization of the

same.

In the past 20-30 years there has been a clarion call for a

paradigm shift towards a more participatory dispensation at

all steps of innovation creation and delivery to farmers.

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Farmer Participation

When farmers participate at all levels of extension adoption of agricultural innovations

tend to increase (Chambers et al, 1989).

“farmer participation” has continued to be both an unclear and ambiguous terminology

and therefore an elusive phenomenon in development programmes.

The United Nations Task Force on Rural Development (1977) defined popular

participation as, “An active process in which the participants take initiative and action

that is stimulated by their own thinking and deliberation and over which they can exert

effective control.

The 1982 World Consultation Forum on “The Churches and Peoples of Participation,”

noted that people’s participation is the people’s initiatives to assert themselves as

subjects of history. It is marked by the development of new knowledge by the people,

including the appropriation and control of technology so that it serves the people.

Geneletti’s (1975) defines participation as the “influence on the decision-making

process of all levels of social activity and social institutions”. This view emphasises the

need for the rural masses to be enlightened enough to know their roles and

responsibilities in any given scenario.

Uphoff (1981) notes that empowerment is a key aspect of participation, but it is not

the whole of participation.

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Farmer Participation in KenyaThe internal forces; educational level, level of awareness, and skills necessary for participation.

The external factors; existing governments and formal institutions.

Governments are normally rigid and view farmers as ignorant and thus can't contribute in

development

Most of the landmark rural development policy documents, have given specific attention to

farmer participation but its application is wanting.

Sessional paper No. 10 of 1965: African Socialism and its Application to Planning in Kenya;

National Development Plan, 1984-88; District Focus for Rural Development (Blue book, March 1987);

Sessional paper No.1 of 1986 on Economic Management for Renewed Growth.

Non-governmental organisations (NGOs) have shown considerable success in the involvement of

farmers in their development agenda. However, passive participation and Active participation.

Important to initiate an appropriate strategy by which improved farming practices from research

stations will be transmitted to the farmers. Lele (1975) notes that such a strategy should enlist

the active support and participation of the farmers at all levels.

Incorporation of farmer participation in the adoption of improved horticultural practices is a

prerequisite for achieving the full potential in horticultural production. Currently 300,000 hectares

of land are under horticultural production with annual export volumes of 91193 tonnes of flowers,

15671 tonnes of fruits and 85323 tonnes of vegetables (HCDA 2007).

Small-scale farmers contribute to 80% of the total horticultural produce used locally while the

large-scale growers account for 20% of the horticultural produce. Thus its important to expand

the small scale sector by increasing adoption of innovations.

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The research

The study inquired into the role of farmer participation in the adoption of improved

horticultural practices in Machakos and Kakamega districts of Kenya.

It inquired into the factors that influence farmer participation in the two districts.

It studied the influence of farmer personal characteristics and farmer accessibility to

horticultural markets on farmer participation.

Access tohorticultural

markets

Farmer Personal

Characteristics

Farmer participation

Adoption of Improved

technologies

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Study districtsA survey was undertaken in Kakamega and Machakos districts of Kenya, which are important small scale holder

horticultural production areas.

Both districts have peculiar climatic and social conditions but have a similar problem of high poverty levels and

high population. Machakos is situated in the semi-arid region while Kakamega is located in a high potential area

for agricultural production.

Both districts are beneficiaries of governmental and non-governmental supported extension services in

horticultural production that utilize participatory approaches, moreover, the disparities in horticultural production

in the two districts are huge where Machakos district performs distinctly better than Kakamega district.

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Research methods

The two districts were compared to explain the difference in

participation in horticultural extension.

Both probability and non-probability sampling techniques were used to

secure the sample of heads of households for study.

In both districts a multi-stage sampling design was utilized to get the

final sample of 50 household heads per district. In this design the

population was broken down into clusters.

The number of clusters in a district was related to the intensity of

horticultural production and the diversity of horticultural commodities

produced. The clusters were formed along Agro-ecological zones (AEZs).

A total of fifty household heads were sampled and interviewed using a

standard interview schedule (questionnaire) in each district.

Quantitative data were analyzed using descriptive statistics, contingency

tables, chi square tests and correlations using SPSS statistical package.

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Results (Farmer participation)

The two districts were compared to explain the difference in participation in

horticultural extension.

It was proposed that those farmers who participated in horticultural

improvement programmes were more likely to make a wide range of

adoptions.

Participation of farmers in horticultural extension was measure by seven

variables.

Farmer’s attendance to demonstrations in horticulture,

Farmer’s attendance to agricultural shows,

Farmer’s community leadership roles,

Farmer’s attempts to solve own farm problems,

Farmer’s initiative to consult agricultural extension agents,

Farmer’s attendance to public barazas (meetings),

Farmer’s membership in community based organizations.

Farmers in Machakos exhibited higher scores on all the variables than in

Kakamega but there were variations in participation within each district

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Results (Farmer participation)

The scores obtained by each of the respondents on all of the seven indicators of the

participation variable, were summed up and the distribution was as shown in Table1

Table 1. Distribution of respondents according to their extent of participation in the horticultural extension process.

Kakamega Machakos

Level of participation (scores)

ƒ % Level of participation (scores) ƒ %

High (>6) 10 20 High (>6) 12 24

Average (3-6 scores) 27 54 Average (3-6 scores) 31 62

Low (<3 scores) 13 26 Low (<3 scores) 7 14

Total 50 100 Total 50 100

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Results (Adoption of better horticultural

practices) Adoption was considered a prerequisite for better

horticultural production and it was thought to be

influenced by farmer participation.

This variable was measured using the specific

indicators, which were based on the adoption of

specific practises, products or techniques. use of tissue culture seedlings, use of knapsack sprayers, use of chemical herbicides, use of economic drip irrigation, use of leguminous cover crops, use of agro-forestry use of contour ploughing.

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Results (Adoption of better horticultural

practices) Scores were awarded to respondents on each of the indicators, such that respondents that

adopted an innovation got a score of one while those who did not got a nil score. The

scores obtained by each of the respondents on all of the seven indicators were added up

and the distribution was as shown in Table 2.

Table 2: Distribution of respondents according to their levels of adoption of innovations in horticultural production .

Kakamega Machakos

Level of adoption (scores) ƒ % Level of adoption (scores) ƒ %

High (>6) 9 18 High (>6) 14 28

Average (3-6 scores) 25 50 Average (3-6 scores) 29 58

Low (<3 scores) 16 32 Low (<3 scores) 7 14

Total 50 100 Total 50 100

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Results (farmer personal characteristics)

Table 3: Data on farmer’s age.

Kakamega Machakos

Age frequency percent Age frequency percent

30 7 14 30 6 12

30-45 20 40 30-50 19 38

45-60 16 32 45-60 15 30

60 7 14 50 10 20

TOTAL 50 100 TOTAL 50 100

Variables used

Age.

Formal education.

Marriage status.

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Results (farmer personal characteristics)

Table 4: Data on farmer's years of formal education.

Kakamega Machakos

Yrs of education Frequency Percent Yrs of education Frequency Percent

none 17 34 none 14 28

1-4 14 28 1-4 18 36

5-8 12 24 5-8 11 22

8 7 14 8 7 14

TOTAL 50 100 TOTAL 50 100

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Results (farmer personal characteristics)

Table 5: Data on farmer’s marriage status.

Kakamega Machakos

Marriage status Frequency Percent Marriage status Frequency Percent

Single 4 8 Single 2 4

Married 35 70 Married 39 74

Divorced 2 4 Divorced 3 6

Widowed 9 18 Widowed 6 12

TOTAL 50 100 TOTAL 50 100

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Results (Easier accesibility to horticultural markets)

Table 6: Data on distance to market.

Kakamega Machakos

Market distance Frequency Percent Market distance Frequency Percent

Near (< 5Km) 10 20 Near 17 34

Average (5-20 Km) 24 48 Average 29 58

Far (> 20Km) 16 32 Far 4 8

TOTAL 50 100 TOTAL 50 100

Variables used

Distance from the market to the farm in kilometres

Post-harvest losses of products

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Results (Easier accesibility to horticultural markets)

Table 7: Data on post harvest losses.

Kakamega Machakos

Losses Frequency Percent Losses Frequency Percent

50% 15 30 50% 6 12

25-50% 23 46 25-50% 27 54

25% 12 24 25% 17 34

TOTAL 50 100 TOTAL 50 100

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Farmer participation in horticultural improvement programmes positively influences their adoption of modern agricultural

practices in Machakos and Kakamega Table 8. The influence of farmer participation in the adoption of improved horticultural practises in Machakos and Kakamega.

Participation Adoption Kakamega Machakos

Level Level ƒ % ƒ %

High High 12 24 20 40

Low 9 18 6 12

Low High 8 16 9 18

Low 21 42 15 30

χ2 = 4.433 df = 1 P= 0.05 (95%) R = 0.443

χ2 = 7.962 df = 1 P= 0.05 (95%) R = 0.597

There is a strong relationship between participation in horticultural extension and adoption of

better farm practices in Kakamega χ2 = 4.433 R = 0.443 and Machakos χ2 = 7.962 R =

0.59.

The relationship between participation and adoption was stronger in Machakos than it was in

Kakamega. More farmers participate in horticultural extension activities in Machakos thereby

exhibiting higher levels of adoption.

More farmers in Kakamega had low adoption due to low participation (42%) than in Machakos

(30%). This situation might be due to the differences in the mix of factors the affect both

farmer participation and adoption of innovations in horticultural production.

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Farmers personal characteristics influence farmer participation in horticultural improvement programs

Farmers years of formal education, age and marital status influences their

participation in horticultural extension programmes and their adoption

innovations.

Farmers between the ages of 30-45 had the highest participation in both

districts while the lowest participation was recorded among farmers below

30 years and above 60 years.

Farmer’s age has a more distinct effect on participation in Machakos than in

Kakamega.

Farmers who had more than four years of formal education recorded higher

participation in both districts while most farmers who had less than four

years of formal education had average to low participation.

More than 60% of the farmers in both districts were married and had

average to high levels of participation. Most of the single, divorced and

widowed farmers showed average to low levels of participation.

It was evident that the middle age, more educated and married individuals

had more interest in participating in horticultural extension.

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Farmer Easier accessibility to horticultural markets encourages farmer participation in horticultural

improvement programmes

Farmer’s proximity to horticultural markets significantly influence their

participation in horticultural improvement programmes.

Farmers who were closer to the markets participated more in extension than

those who were further away.

Farmers in Machakos had higher proximity to horticultural markets than those

in Kakamega, partly due to the presence of farm gate buyers in Machakos.

Farmer participation is significantly influenced by the post harvest losses

incurred by horticultural farmers.

Farmers who had high post harvest losses tend to exhibit lower participation

than those with less.

Farmers in Machakos district exhibited lower post harvest losses and therefore

had higher participation scores in horticultural extension.

Farmers who grew their horticultural products close to a market or farmers who

had good roads to their farms, less post harvest losses and higher profitability

of horticulture increased the farmers’ interest in horticulture and therefore their

participation in horticultural extension.

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Conclusion

Farmers’ participation in horticultural improvement programmes positively

influenced their adoption of improved farm practices in both study districts.

Machakos district were more participative in horticultural extension than their

counterparts in Kakamega district and thus, they tended to adopt more of the

improved farming practises than the farmers from Kakamega district.

Farmers’ age, education, and marriage status influenced farmer participation

in both Kakamega and Machakos district. It was evident that the middle age,

more educated and married individuals had more interest in participating in

horticultural extension.

Shorter distance to the market, less post harvest losses and higher profitability

of horticulture increased the farmers’ interest in horticulture and therefore

their participation in the extension of improved farming practises.

Policy should focus on setting up an agricultural extension service that

encourages the participative approach at all levels.

The extension agents should play the role of facilitators who encourage the

farmers to own the process of their own development.

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Thank You