Articles: Department of Agricultural Economics and Extension

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Analysis of the determinants of farmer participation in sorghum farming among small-scale farmers in Siaya County, Kenya
(Elsevier Ltd., 2020-09-16) Okeyo, Samuel; Ndirangu, Samuel N.; Isaboke, Hezron N.; Njeru, Lucy K; Omenda, Jane A
Sorghum as a drought tolerant crop provides an alternative opportunity towards increasing food production in the face of global climate change, mostly affecting Sub-Saharan Africa. Kenya is in the fore front in increasing the production of sorghum since its landmass is 80 percent arid and semi-arid. Few studies have evaluated farm and farmer related characteristics affecting adoption of sorghum production. Therefore, the objective of this study was to determine how selected factors affect the propensity of farmers to adopt sorghum production in Siaya County, Kenya. A total of 300 households were randomly selected as respondents in four sub-counties under sorghum production. Data was collected using semistructured interview schedules administered to the selected farm households. The selected factors were subjected to descriptive analysis, while binary logistic regression model was applied for the quantitative analysis of the effect of these factors on adoption of sorghum production. The results of the regression analysis reveal that farm size, land size allocated to maize, beans and groundnut enterprise, land ownership and access to training significantly affected adoption of sorghum farming. The study underscores the significant impact of resource allocation decisions on uptake of sorghum production among farm households. Our findings show that farmers with larger farms are more likely to adopt sorghum production. However, due to industrial demand and food security potential of sorghum, we recommend that the extension service providers should also incentivize those with smaller farms to participate in sorghum production. Policies that will make sorghum enterprise more competitive over other crops, both at the farm and market level, are key. In addition, agricultural development policies should target provision of such services like training to streamline sorghum production in the arid and semi-arid areas in Kenya.
Analysis of the determinants of farmer participation in sorghum farming among small-scale farmers in Siaya County, Kenya
(Elsevier, 2020-09) Okeyo, Samuel O.; Ndirangu, Samuel N.; Isaboke, Hezron N.; Njeru, Lucy K.; Omenda, Jane A.
Sorghum as a drought tolerant crop provides an alternative opportunity towards increasing food production in the face of global climate change, mostly affecting Sub-Saharan Africa. Kenya is in the fore front in increasing the production of sorghum since its landmass is 80 percent arid and semi-arid. Few studies have evaluated farm and farmer related characteristics affecting adoption of sorghum production. Therefore, the objective of this study was to determine how selected factors affect the propensity of farmers to adopt sorghum production in Siaya County, Kenya. A total of 300 households were randomly selected as respondents in four sub-counties under sorghum production. Data was collected using semi-structured interview schedules administered to the selected farm households. The selected factors were subjected to descriptive analysis, while binary logistic regression model was applied for the quantitative analysis of the effect of these factors on adoption of sorghum production. The results of the regression analysis reveal that farm size, land size allocated to maize, beans and groundnut enterprise, land ownership and access to training significantly affected adoption of sorghum farming. The study underscores the significant impact of resource allocation decisions on uptake of sorghum production among farm households. Our findings show that farmers with larger farms are more likely to adopt sorghum production. However, due to industrial demand and food security potential of sorghum, we recommend that the extension service providers should also incentivize those with smaller farms to participate in sorghum production. Policies that will make sorghum enterprise more competitive over other crops, both at the farm and market level, are key. In addition, agricultural development policies should target provision of such services like training to streamline sorghum production in the arid and semi-arid areas in Kenya.
Analysis of the factors affecting farm-level output of mangoes among small-scale farmers in Mwala Sub-County, Kenya
(2022-06) Isaboke, Hezron N.; Musyoka, Kennedy
The factors affecting farm-level output of mangoes among small-scale farmers in Mwala Sub-County, Kenya were examined. The first stage of regression analysis resulted that family and hired labour, amount of pesticides and manure had positively significant affected on mango farm-level output. The results on the second stage of the factor affecting mango output was household size, farming income, area allocated to mango farming (farm size), amount of credit, and extension contacts which exhibited positively affected on mango output, while cost of pesticides and manure precipitated had negatively affected. The study recommended that relevant authorities should strengthen the extension contact for encouraging farmers to practice the best and recommended management practices on mango farming to improve production. Furthermore, small-scale mango farmers accessed to functional input markets would enhance farm-level mango output.
An Analysis of The Impact of Agro-Ecological Zones on The Influence of The Key Factors That Affect Food Security: The Case of The Embu County in Kenya
(2017-08) Ndirangu, Samuel N.; Mbogoh, Stephen G.; Mbatia, Oliver L.E.
This paper is based on the results of a study that was carried out to determine the impact of agro-ecological zones (AEZs) on the influence of the key factors that affect household food security through a case study in the Embu County of Kenya. The Embu County was chosen for a case study because it is endowed with most of the various types of AEZs found in Kenya. The three agro-ecological zones covered in the case study were the Sunflower-Zone (UM 4 and LM 3), the Coffee Zone (UM 1-3) and the Tea Zone (LH 1-2), based on [1] categorization of the AEZs in Kenya. The study analyzed and evaluated the food security data collected from 384 farm-households which had randomly been selected from the three AEZs in the Embu County using a 4-stage cluster sampling method. Household caloric acquisition method was used to compute a household food security index (HFSI) that was used to measure the household food security status. Previous studies had established that the key factors that influence food security in Kenya include farm size, access to and use of modern technologies in farming, access to agricultural extension services, farm household size, age and education level (literacy) for the head of household and household dependency ratio. This study found that the AEZs had a significant impact on the effects of the key factors that influence household food security in Kenya. The effect of farm size on food security was found to be positive in the Sunflower and Tea zones, but not in the Coffee Zone. Technology adoption was found to have a significant effect on food security in the Sunflower and Coffee Zones, but not in the Tea Zone. Access to agricultural extension was found to have a significant effect on food security in the Coffee and Tea zones, but not in the Sunflower Zone. Household size was found to have a significant effect on food security in the Sunflower and Coffee zones, but not in the Tea Zone. The dependency ratio was found to have a significant effect on food security in the Coffee and Tea Zones but not in the Sunflower Zone. The age of the household head and/or wife was found to have a significant effect on food security in the Tea Zone, but not in the Coffee and Sunflower Zones. The level of education for the head of the household was found to have a significant effect on food security in the Sunflower Zone but not in the Coffee and Tea Zones. On the basis of the study findings, it is concluded that the effects of the factors that influence food security vary by the AEZs. Therefore, AEZ-specific measures are recommended to enhance household food security in different areas of Kenya.
Comparing productivity of rice under system of rice intensification and conventional flooding: A switching regression approach
(Academic Journals, 2020-10) Kaloi, Francis Kadipo; Isaboke, Hezron N.; Onyari, Charles N.; Njeru, Lucy K.
This paper examined the factors influencing rice productivity in Mwea Irrigation Scheme using the System of rice intensification (SRI) and conventional flooding (CF). Stratified sampling was used to obtain 364 smallholder rice farmers for interviewing. Data collection was done with the aid of a semistructured questionnaire and analyzed using the Endogenous Switching regression Model (ESRM). The results of ESRM revealed that factors such as household size, access to extension services, involvement in off-farm work, distance from the canal, farm size, labour use, access to credit services and years spent in rice farming were found to be significant in explaining variations in rice productivity. Furthermore, the gross margin analysis showed that the returns of SRI outweigh the returns of CF, thus making SRI more profitable than CF. The study therefore recommends that Kenya government should enhance engagement with development partners to pay attention to all significant factors which are important in making decisions in the two practices of rice production.
Decomposition of the Coffee Value Chain Among Smallholder Farmers in Embu and Kirinyaga Counties in Central Kenya
(UoEm, 2024-10-24) Musau Wambua, Daniel; Ndirangu, Samuel N.; Mogaka, Hezron; Gichimu, Bernard M.
The coffee value chain is lengthy and complex with numerous actors and this exposes the farmers to inherent financial risks. This study sought to decompose the coffee value chain and its dynamics. The study was undertaken in Embu and Kirinyaga counties in Central Kenya and the target population was smallholder coffee farmers. The study used multistage stratified sampling techniques to draw a sample of 385 respondents. Majority (97%) of the sampled farmers were processing and marketing their coffee through cooperative societies. Socioeconomic analysis of these farmers showed that majority were middle-aged, fairly educated and with adequate coffee farming experience but their cherry production was very low averaging 2.3 kgs per tree for 2022/2023 crop year. The cooperative societies were playing key roles in the coffee value chain including farmers’ training, input and credit provision, coffee processing and marketing. There were numerous coffee marketing challenges, including high middlemen involvement, which lowered the coffee prices and reduced the trade volumes. Value adding activities such as roasting, grinding, and packaging were rare and farmers’ involvement in the upstream value chain was minimal. The local demand for the produced coffee was very low with domestic consumption taking only 2% of the output. The multilevel mixed effect model results revealed that value adding and farmer involvement were found to have a significant positive influence on the traded volumes and coffee prices while middlemen involvement had a negative influence. There is need for enhanced value adding and farmers involvement in the upstream value chain as well as strengthening the cooperative societies’ role in coffee marketing for more accountability and increased incomes.
Determinants Influencing the Adoption of Rice Intensification System among Smallholders in Mwea Irrigation Scheme, Kenya
(Hindawi, 2021-03) Kaloi, Francis Kadipo; Isaboke, Hezron N.; Onyari, Charles N.; Njeru, Lucy K.
Rice farming has received considerable attention in developing countries and particularly in Kenya due to its impact on smallholders’ income and food security. Irrigated rice is the largest consumer of water, and its sustainability is threatened by water shortage. *is has necessitated the development of alternative irrigation water technologies, such as the system of rice intensification (SRI), which are efficient in water use with improved yields. *is study analyzed the determinants of adoption of SRI in the Mwea Irrigation Scheme where stratified sampling was used to obtain 364 smallholder rice farmers. A semistructured questionnaire was used to collect primary data, which was then analyzed using a binary logistic regression model. *e results showed that age (−0.3%) was significant but with a negative effect on adoption of SRI. Farm size (2.499%), household size (1.895%), distance from the canal (1.354%), off-farm work (3.953%), access to credit services (8.714%), access to extension services (7.809%), and years in rice farming (0.409%) were found positively and significantly influencing factors to the adoption of SRI. *erefore, this study concludes that smallholders attempt to improve rice productivity through adoption of SRI should give a special priority to all significant factors.
Determinants of adoption and adoption intensity of integrated soil fertility management technologies among sorghum farmers in Upper Eastern Kenya
(UoEm, 2023-08-03) Kiprotich, Shadrack; Mogaka, Hezron; Ndirangu, Samuel Njiri; Nyambane Onyari, Charles
Climate change manifestations and population pressure are some of the most critical challenges that affect agricultural productivity. Integrated soil fertility management (ISFM) technologies are among the agricultural innovations that have been developed to address declining crop productivity. These technologies have been promoted across diverse areas including marginal agro- ecological zones. Despite the nobility and versatility of ISFM technologies, their adoption is still low particularly across Kenya landscapes. Consequently, there is limited knowledge explaining the adoption of these technologies especially in the dry areas. This study therefore, applied Cragg's Double Hurdle model to determine the factors affecting adoption and adoption intensity of ISFM technologies among farmers in Upper Eastern Kenya, who mainly grow sorghum both as a food and a cash crop. The results revealed that gender, dependants, farming goal for subsistence purpose (p < .01), decision on information use, farm size, extension services, research awareness, ISFM awareness and ISFM access, significantly affected household decision on adoption of ISFM technologies. On the other hand, gender of household head, farm size, main source of agricultural information and formal agricultural training had significant influence on adoption intensity of ISFM technologies. There is a thus a crucial need for integration of determinants surrounding adoption and adoption intensity of ISFM technologies in policy making and planning processes to enhance sorghum crop productivity in marginal Upper Eastern areas of the country.
Determinants of adoption of butternut squash (Cucurbita moschata) farming among small-holders in Suba district, Kenya
(2012) Isaboke, Hezron N.; Mshenga, Patience; Mutai, B.K.; Saidi, M.
Butternut squash (Cucurbita moschata) is an emerging economic crop in Kenya with ready market and high nutritional value. Despite this, its adoption as a major cash crop in Suba District has remained low. The aim of the study was to investigate the determinants of adoption and extent of adoption of butternut squash. The study area was chosen due to persistence of poverty despite the fact that the area has conditions that are favourable for the production of high value crops like butternut squash. Cross-sectional data were collected from a sample of 120 farmers selected through multi-stage sampling. The data were subjected to the Heckman two-step regression analysis to obtain the determinants of adoption and the extent of adoption. Data obtained revealed that the adopters of butternut squash were mostly the male married farmers. Results further showed that household size, land tenure, access to credit, membership to a group, market information and access to extension services significantly and positively affected the likelihood of adopting butternut squash; while age, participation in off-farm activities and distance to the market were significant with negative effect. Education, access to market information, man hours and years of experience were significantly related to adoption of the crop with positive effects, while land size was statistically significant with a negative effect. This study therefore, recommends that government and other stakeholders should formulate and implement policies related to promotion of adoption and production of butternut squash.
Determinants of Farmers’ Knowledge on Soil and Water Conservation Technologies in Dry Zones of Central Highlands, Kenya
(Journal of Agricultural Extension, 2021-10) Njenga, Maureen W.; Mugwe, Jayne N.; Mogaka, Hezron R.; Nyabuga, George; Oduor, Nathan; Kiboi, Milka; Ngetich, Felix; Mucheru-Muna, Monicah; Sijali, Isaya; Mugendi, Daniel
This study ascertained the socioeconomic determinants of farmers’ knowledge on soil and water conservation technologies in Dry zones of Central Highlands of Kenya involving 400 farming households. Results showed that the majority of the farmers had inadequate knowledge on the use and benefits of soil and water conservation technologies. The socio-economic factors that influence knowledge levels of the knowledge-intensive technologies were education level, gender, perceptions on soil fertility, farmer group membership, access to training, farm size, access to credit, number of livestock kept and access to farm equipment. This implies that there is the need to come up with an all-inclusive policy that can be employed in improving farmer’s level of knowledge through the use of more innovative methods of information dissemination. This can be done by strengthening the existing farmer groups, enhancing extension services, and also formulating gender-friendly policies.
Determinants of Participation of Smallholder Farmers in Weather Index Insurance in Embu County, Kenya
(Journal of Agricultural Extension, 2021-07) Isaboke, Hezron Nyarindo
The study examined how multiple factors influence participation of farmers in Weather Index Insurance WII in Embu County, Kenya. Data wer e collected from a sample of 401 smallholders following multi stage sampling technique The study employed the Cragg ’s Double Hurdle model in determining factors that influence participation and extent of participation in WII. Results revealed th at short rain season, household size, land size, perception of the household head on WII , owners h ip of a mobile phone a nd location of the farm were important factors in explaining participation in WII. The distance to a registered agro veterinary products outlet, insurance premium , group membership, the weather station in Runyenjes station and distan c e to the local weather station influenced probability to participate negatively. Similarly, ownership of mobile phone had a positive influence on the extent of participation in WII while the size of the household, distance to a registered agro veterinary p roducts outlet and land size were significant with a negative influence. The findings of this study highlight the importance of shaping farmers’ perceptions to wards WII, promotion of policies that allow for access and use of information and communication t echnologies ( such as mobile phones by the farming households as a pathway to providing smart so lutions to smallholder farmers in dealing with weather rela ted risks . Further, the research recommends for development of policies that would ensure modest WII insurance premiums that are aligned to the unique need s of the smallholder farmers.
Determinants of smallholders farmers' participation in collective marketing of maize in the central highlands of Kenya
(African Journal of Rural Development, 2019-06-30) Mogaka, Hezron; Mugwe, Jayne; Ayieko, David, M; Bett, Eric, k
Collective marketing has been proposed as a solution to the problem of poor access to markets in developing nations. However, smallholders’ market participation is still limited. This study assessed farmers’ perception of the benefits and challenges in collective marketing, and identified the determinants of smallholder farmers’ participation in collective marketing of maize from 126 households in the central highlands of Kenya. Logistic regression model was used to analyze factors explaining farmers’ participation in collective marketing. The key benefits of collective marketing were better prices and low cost of inputs, while the main challenges were poor infrastructure, disagreement among members and lack of credit. Gender of household head, years of farming experience, training on market information search, keeping records, ability to search market information, marketing group size, extension contact frequency and group meeting frequency were significantly associated with farmers participation in collective marketing. Participation in collective marketing could be improved by targeting women already organized in groups, offering training to households on record keeping, enhanced extension contacts, improving marketing group operations and searching for markets.
Determinants of sorghum productivity among small-scale farmers in Siaya County
(Academic Journals, 2020-05) Okeyo, Samuel O.; Ndirangu, Samuel N.; Isaboke, Hezron N.; Njeru, Lucy K.
The productivity of sorghum in Kenya is on decline despite sorghum being one of the suitable crops for the arid and semi-arid areas commonly found in Kenya. The study therefore aimed at establishing the effect of the selected socio-economic factors on sorghum productivity using a case of small-scale farmers in Siaya County. The four sub-counties considered for this study were selected on the basis of sorghum production. Stratified and random sampling techniques were applied to identify a sample comprising of 300 smallholder households in the study area. Data was collected using semi-structured interview schedules administered to the selected farm households. The characteristics of the smallholder farmers sampled were analyzed using descriptive statistics and Ordinary Least Square multiple regression model. The results showed that farm size under sorghum, labour, farm gate price, serena and seredo seed varieties were significant determinants of sorghum productivity in the study area. Based on these findings, the study recommends provision of improved seed varieties to the farmers. Policies targeted at promoting industrial use of sorghum will increase sorghum demand and promote its uptake. In addition, agricultural development policies should target provision of such services like training and extension support to enhance sorghum production in Kenya.
Distribution, abundance and natural enemies of the invasive tomato leafminer, Tuta absoluta (Meyrick) in Kenya
(cambridge university press, 2021-05-17) Kinyanjui, G; Khamis, F M; Ombura, F L O; Kenya, E U; Ekesi, S; Mohamed, S A
Tuta absoluta (Meyrick) has become a serious menace to sustainable production of tomato in Kenya. A survey was conducted between April 2015 and June 2016 to determine its distribution, abundance, infestation, and damage levels on tomato, and associated natural enemies. Trap counts of T. absoluta moths were recorded in all surveyed 29 counties, which indicated its nationwide distribution irrespective of altitude. Tuta absoluta was present in both open fields and greenhouses. The highest moth/trap/day was 115.38 ± 15.90. Highest leaf infestation was 92.22% and the highest number of mines and larvae per leaf were 3.71 ± 0.28 and 2.16 ± 0.45, respectively. Trap captures in terms of moth/trap/day were linearly and positively related to leaf infestations in open fields (R2 = 0.81) and greenhouses (R2 = 0.61). Highest fruits' infestation and damage were 60.00 and 59.61%, respectively, while the highest number of mines per fruit was 7.50 ± 0.50. Nesidiocoris tenuis (Reuter) and Macrolophus pygmaeus (Rambur) were identified as predators of T. absoluta larvae. Nine species of larval parasitoids were recovered from infested foliage, with a combined parasitism of 7.26 ± 0.65%. Hockeria species was the most dominant (31.25%) and accounted for 12.88 ± 1.47% parasitism. Two species of larval parasitoids, Hockeria and Necremnus were obtained from sentinel plants with an average parasitism of 1.13 ± 0.25. The overall abundance and parasitism rates of recovered natural enemies were low to effectively control the field populations of T. absoluta. These findings form the basis of researching and developing effective and sustainable management strategies for the pest.
Do combined sustainable agricultural intensification practices improve smallholder farmers welfare? Evidence from eastern and western Kenya
(UoEm, 2024-02-21) Nyarindo, Wilckyster Nyateko; Mugera, Amin; Hailu, Atakelty; Obare, Gideon Aiko
Smallholder farmers often bundle different sustainable agricultural intensification (SAI) practices to boost crop yield and address soil fertility challenges. However, there is a dearth of empirical studies that investigate farmers’ adoption of SAI bundles and their subsequent impacts. Using data from a three-wave panel survey of smallholder maize-legume producers in Kenya, we examine the adoption and payoffs from 10 SAI practices clustered into five dominant groups. We use a random effects multinomial logit model to determine the choice of SAI cluster at the plot level while controlling for unobserved individual heterogeneity. The results show that the number of extension contacts, farm labor availability, household wealth, and education of household heads positively and significantly affect the adoption of SAI clusters while renting plots and poor soil quality have negative effects. The multinomial endogenous treatment effects model results reveal significant variability in crop yield, total variable cost, revenue, and net income across the five SAI clusters. The benefits vary by crop system, region, and cropping year, indicating that a one-size-fits-all extension design is unsuitable for farmers. The study suggests the promotion of participatory extension policies that would allow locally adaptable and highly profitable bundles of SAI practices to be identified, refined, and disseminated
Economic evaluation of local inputs in Meru South District, Kenya
(Springer, 2007) Mucheru-Muna, Monicah; Mugendi, Daniel N.; Mugwe, Jayne; Kung’u, James
Declining land productivity is a major problem facing smallholder farmers in Kenya today. This decline is as a result of reduced soil fertility caused by continuous cultivation without adequate addition of manures and fertilizers. Low soil fertility is one of the greatest challenges facing farmers in the central highlands of Kenya. A farmers’ participatory trial was established in Meru South District, Kenya in 2000 to investigate feasible soil nutrient replenishment technologies for poor resource smallholder farmers. Results across seven seasons indicate that sole tithonia gave the highest grain yield followed closely by tithonia with half recommended rate of inorganic fertilizer with 6.4 and 6.3 Mg ha-1respectively. The control treatment gave the lowest yield of 2.2 Mg ha-1 across the seasons. The integration of organic and inorganic nutrient sources of N gave higher maize grain yield as compared to the sole organic materials in all seven seasons. Economic analyses indicate that on average tithonia with half the recommended rate of inorganic fertilizer recorded the highest net benefit (US$ 787.2) whereas the control treatment gave the lowest benefit (US$ 271.7). On the other hand the recommended rate of inorganic fertilizer gave the highest (US$ 12.5) return to labour while sole tithonia gave the lowest (US$ 4.0). On average in the farmers’ fields, manure alone gave the highest return to labour of US$ 3.6, while the control treatment gave the lowest return to labour US$ –0.2.
Economics of Planting Pits under Sorghum and Pigeon Pea in Semi-Arid Areas of Eastern Kenya.
(2020-01) Yegon, Rebecca; Isaboke, Hezron N.; Mrema, Geoffrey Christoper; Mtakwa, Peter
Rainwater harvesting (RWH) is promoted in arid and semi-arid areas for increased yields. Planting pits are RWH systems that are used for collecting rainwater and runoff. Recently, there has been increased interest in economic and environmental benefits of agricultural technologies for sustainable development. To contribute to this knowledge, economics of Chololo and Five by Nine planting pits and sorghum and pigeon pea mulch was investigated at two sites in semi-arid Eastern Kenya for four seasons. The experiments were in a randomized complete block design in three replicates. Returns of planting pits and mulch were calculated by evaluating the benefit-cost (B: C) ratios and net present values (NPV) while considering water as an economic good. Planting pits were profitable for sorghum and unprofitable for pigeon pea production. The outcome differed with sites and seasons depending on rainfall availability. Chololo pits earned US$ 92 to US$ 786 per hectare whereas Five by Nine pits earned US $ 59 to US$ 955 per hectare. Mulches were beneficial for sorghum and pigeon pea production at Nkarini and unprofitable at Machang’a with the yield differing with seasons depending on rainfall availability. This study recommends Five by Nine and Chololo pits for sorghum production at Nkarini where it was economically viable in three out of four seasons.
The Effect of Butternut Squash (Cucurbita moschata) on the Incomes of the Small-Holders in Suba District, Kenya
(2012) Isaboke, Hezron N.; Mshenga, Patience; Saidi, M.
Butternut squash is an emerging economic crop in Kenya with ready market and high nutritional value. It was introduced to promote food security and enhance the incomes of the small-holder farmers in Suba district. However it is not clear whether butternut could address the problem of low income among small-holder farmers. The aim of the study was to investigate the effect of butternut squash on the incomes of the small-holders. The choice of the study area was due to persistence of poverty problem and existence of butternut squash in Suba District. Cross-sectional data was collected from a sample of 120 farmers who obtained using multi-stage sampling. The small-holder farmers were characterized using descriptive statistics. Gross Margin analysis was used to determine the contribution of butternut squash to total crop income. Gross margin analysis results revealed that butternut squash was a profitable enterprise similar to the other horticultural crops. Results showed that on average butternut squash contributes 38.55% with a standard deviation of 12.2% towards the total crop gross margin/ha. This study therefore, recommends that government and other stakeholders should formulate and implement effective policies related to promotion of butternut squash farming and marketing.
Effect of on-farm testing on adoption of banana production technologies among smallholder farmers in Meru region, Kenya
(Emerald, 2021-08) Kirimi, Florence Kaumi; Onyari, Charles N.; Njeru, Lucy K.; Mogaka, Hezron N.
Purpose – The purpose of this paper is to investigate the effect of on-farm testing on the adoption of banana production technologies among smallholder farmers in the Meru region, Kenya. Design/methodology/approach – The study adopted a pragmatic paradigm and a cross-sectional survey design, sampling 370 and 30 farmers proportionately from 269,499 to 19,303 smallholder banana farmers in Meru and Tharaka-Nithi Counties of Kenya, respectively. Findings – The study revealed that there was an association between belonging to a banana farming testing group and the adoption of banana technology. The study also revealed that most farmers were not interested in adopting banana technologies as they preferred the use of conventional methods, due to unstable market prices, lack of subsidized banana production input, inaccessibility to technological materials, few extension experts and lack of enough demonstrations. Research limitations/implications – Some respondents were not willing to freely offer the information required for this study. This was delimited by assuring the informants of the confidentiality of their responses. Originality/value – The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The agricultural extension service providers will have more light on the underlying issues that need to be considered if meaningful interventions are to be done on various aspects of the banana value chain.
Effects of Land Fragmentation on Food Security in Three Agro-ecological Zones of Embu County in Kenya
(2017-08) Ndirangu, Samuel N.; Mbogoh, Stephen G.; Mbatia, O. L. E.
Land fragmentation is a common agricultural phenomenon in many countries where a single large farm is subdivided into a large number of separate small land plots. This paper is based on a study that was carried out to evaluate the impact of land fragmentation on food security in three agroecological zones (AEZs) of Embu County in Kenya from January to November 2016. The study used data collected from 384 farm-households that were randomly selected from three AEZs in the Embu County, using the 4-stage cluster sampling method. The AEZs were the Sunflower-Cotton Zone, the Coffee Zone and the Tea Zone, based on the official AEZs classification system in Kenya. Household caloric acquisition method was used to compute a household food security index (HFSI) that was used to measure the household food security status. The effect of farm size on food security was evaluated using the Binary Logit Regression method. The results showed that the average number of people in a household was 3.73 in the Tea Zone, 3.59 in the Coffee Zone and 3.93 in the Sunflower Zone, and that farm size had a positive and significant effect on food securityin the Sunflower (P=.029) and Tea zones (P=.007), but not in the Coffee Zone (P=.365). Further, it was found that the minimum farm-size that could ensure the attainment of the minimum (cut-off) point for household food security (HFSI = 1) was above 2 ha in the Sunflower Zone and 0.5 ha in the Tea Zone. Based on the study findings, it is recommended that further fragmentation of farms below 0.5 ha in the Coffee and Tea zones and 2 ha in the Sunflower Zone should be discouraged to ensure sustainable food security in the study area. For the farms that are already below the minimum cut-off size for food security, measures to increase these farms’ productivities so that they can support more people per ha should be devised and implemented.

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