Opportunities for exploiting underutilized feed resources to enhance market-oriented animal production in North-western Ethiopia

This study was conducted in Metema district, Amhara Region, Ethiopia to characterize the existing feed resources and recommend their enhanced utilization for animal production. The major feeds were pasture (55.7%), crop residues (20.7%), stubble (14.3%) and hay (9.3%). The estimated annual feed supply was 833,531.2 tons DM and 94% came from natural pasture. About 33 herbaceous species and 20 woody species that are highly desirable, desirable and less desirable were identified. The total dry matter biomass and the high proportion of desirable species could be effectively utilized to support market-oriented ruminant production in the district and beyond

A survey of the farming systems of Vertisol areas of the Ethiopian highlands

In 1986, ILCA carried out informal surveys at Dogollo and Inewari in order to understand the farming systems. Such surveys were also conducted by the Institute of Agricultural Research (IAR) at Ginchi in 1986 and by the Alemaya University of Agriculture at Ada/Debre Zeit in 1988/89. This was followed by one-time detailed formal farm surveys at Dogollo, Inewari and Ginchi in 1988/89. This chapter mostly presents the results of these formal surveys. The objectives of the surveys were to understand the existing farming systems in order to develop appropriate Vertisol technologies, to identify production constraints and opportunities for technological interventions, to identify recommendation domain, and to compile baseline data in order to assist in ex-post Vertisol - technology evaluation. Natural resources, farm resources, crop and livestock interaction, feed production and livestock feeding, constraints to production, livestock production constraints and researchable areas are examined

Technology validation and transfer

As farming in Ethiopia is heavily dependent on animal traction, technologies that are based on this power source were envisaged to be appropriate for better management of Vertisols. Hence, the Joint Vertisol Project (JVP) began research on improved Vertisol technology that included 1) the use of an animal-drawn broadbed maker (BBM) to facilitate surface drainage and 2) the use of appropriate seeds, fertiliser and early planting. The aim of the technology verification and transfer were to verify the economic viability and acceptability of the BBM/Vertisol technology package and to popularies the technology so as to encourage large-scale adoption. A comparison of economic returns from crop grown with Vertisol technology package and traditional methods in selected Ethiopian highlands

Socioeconomic determinants of organic cotton adoption in Benin, West Africa

Organic cotton relies on ecological processes and the use of natural resources to sustain the production system, unlike conventional cotton, mainly characterized by massive utilization of synthesis chemicals. In West Africa, where rural livelihoods are particularly vulnerable, organic cotton is expected to contribute not only to poverty reduction but also to strengthen households’ resilience. The objective of this study was to assess institutional and socioeconomic factors determining farmers’ decisions to adopt organic cotton. For this purpose, we applied a probit model on empirical data collected from producers of the Centre and the Northern parts of Benin. Overall, we found that organic cotton adoption is mainly determined by farmers’ socioeconomic characteristics, the physical distance between farm and house, and contact with extension and advisory services. Organic farming is more attractive to women compared to conventional farming. This because such type of cotton farming enables women to hold a separate cotton farm and thus increase their economic independence, whereas with the conventional system they depend mainly on the farm of the (male) head of the household. Older, less educated and low-income farmers who express environmental concern are more likely to adopt organic cotton. Subsequently, organic cotton should be considered as a prospective policy option to reach the poor and strengthen their livelihoods conditions while contributing to preserve the environment and natural resources. Furthermore, farmers who have their farm near home are more likely to adopt organic farming than those who have the farm far from their home. It also came out that organic farmers have more contacts with advisory and extension services. Finally, the study noted that there is still a need to enhance the extension system by: (1) exploring, designing, and upgrading innovative pedagogic tools such as videos and mobile phone technology to foster learning; and (2) strengthening organic farmer’s organizations and the linkage with agricultural research organizations for technology development

Cereal-based farming systems in the central highlands of Ethiopia Technological innovation for surplus production and poverty alleviation

SIGLEAvailable from British Library Document Supply Centre-DSC:DXN010556 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

Determinants of small farm household food security: Evidence from South Wollo, Ethiopia

No Abstract.The Ethiopian Journal of Development Research Vol.28(1) 2006:1-3

Cereal-based farming systems in the central highlands of Ethiopia Technological innovation for surplus production and poverty alleviation

Available from British Library Document Supply Centre-DSC:DX194545 / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo

The impact of perception and other factors on the adoption of agricultural technology in the Moret and Jiru Woreda (district) of Ethiopia

The objectives of this study are to examine both the significance of the impact of farmers' perceptions regarding new technology for the adoption decision and how perceptions themselves are influenced by the decision to adopt new technology. The study is based on data from 96 wheat farms in the Moret and Jiru woreda (district) of Ethiopia. The probit approach is used to analyse the adoption decision, while the variables relevant to farmers' perceptions are modelled using the ordered probit methodology. A simultaneous equations model combining the probit and ordered probit approaches provides a useful approach to modelling the two-way relationship between perception and adoption. Variables such as farm size, farm income and soil type have a key role to play in the model. Perception is measured by eight different components and as there is a strong collinearity among these various measures, a principal components analysis is attempted to draw the best possible linear combination of variables