19 research outputs found

    Conceptualising farming systems for agricultural development research: cases from Eastern and Southern Africa

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    In the context of broad scale system changes (e.g. climate change) and the prioritisation of impact-at-scale development, there is a particular need for farming systems research (FSR) to improve our understanding of the links between systems at multiple scales. Drawing on three empirical case studies of large-scale agricultural interventions in eastern and southern Africa, we highlight problems that arise from conceiving and justifying interventions on the basis of the simple aggregation of farms into large collective systems. We review changes in the approach and concepts of FSR and point to the value of farming systems concepts that go beyond these aggregations, and find ways to capture the multi-level system dynamics that link on-farm decision making to broader political, social, and environmental changes. Recent attempts at more accurately conceptualising the domain of FSR, and drawing distinctions between ‘farms’, ‘systems’, and ‘systems of farming’, represent a useful contribution to such work

    Adoption of striga (striga hermonthica) management technologies in northern Nigeria

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    This study examined the adoption of Integrated Striga Management (ISMA) technologies among maize farmers in Bauchi and Kano states of northern Nigeria. It employs a double-hurdle approach to analyse the factors influencing adoption and intensity of ISMA technologies among households, using cross-sectional data of 643 farmers from the two states. The results show that the estimated coefficients of exogenous income and proximity to extension office are negatively significant (P < 0.05), while higher total farm income, polygamous households, past participation in on-farm trials, awareness of the technology, contact with extension agents and access to cash remittances are positive and significant (P < 0.01), and are the most significant factors likely to influence ISMA technologies adoption. Marital status, household size, farm size and access to cash remittances are most significant factors influencing adoption intensity. Maize farmers in the study area who adopted ISMA technologies obtained higher output than the non-adopters, which resulted in a positive and significant effect on their total farm income. Hence, policies targeted at increasing maize productivity through Striga management need to include ISMA technologies as a potentially feasible option. The study recommends actions to improve farmers’ access to financial services to increase their liquidity. Nevertheless, the most immediate action will be improvement in farmers’ access to extension services as they have proved to be a reliable source of information in the rural areas
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