Background: While advances in agricultural research and development have led to generation of improved new cooking hybrid banana varieties (HBVs) with enhanced yield potential to restore production levels, these have been received with mixed feelings on production and consumption attributes among the farming communities in Uganda. Some farmers prefer HBVs that are comparable to their local varieties in terms of consumption attributes such as soft food, color when cooked, flavor and taste while others prefer high-yielding HBVs to produce surplus output for sale.Methods: Using cross-sectional survey data from 242 randomly selected smallholder banana farmers in Nakaseke and Luwero districts in Central Uganda, the study applied a Tobit regression model to analyze the influence of socio-economic factors and variety attributes on the adoption of new hybrid bananas.Results: The results on the perception of farmers on banana variety attributes showed that the new HBVs had desirable production-related attributes, while local cultivars were rated superior to hybrids on consumption-related attributes. Evidence further showed that production-related and consumption-related attributes influenced farmers’ decisions in the adoption of HBVs. Further, an assessment of the socio-economic factors that influence the adoption of HBVs showed that education of the farmer, household size, interaction with different banana actors, experience (number of years growing HBVs), and source of planting materials had a significant influence on farmers’ adoption of the new HBVs.Conclusion: The study findings provide insights into the need for agricultural research and development initiatives to target the development of banana varieties with multi-traits that meet end-users’ preferences and needs. Facilitating the establishment of multi-actor platforms that bring together the different actors to share information and learn might be useful in increasing the intensity of HBVs adoption.

Land degradation threatens food production especially in smallholder farming systems predominant in sub-Saharan Africa. Monitoring the effects of agricultural land uses is critical to guide sustainable intensification (SI). There are various indicators of sustainable land use (SLU), but conventional methods to quantify their metrics are complex and difficult to deploy for rapid and large-scale assessments. Considering that SLU indicators are dependent on agricultural practices, which can be rapidly identified and quantified, we propose a framework for SLU assessment that includes indirect quantifications of prioritized indicators (crop productivity, soil organic carbon (SOC), acidification, erosion, nutrient balance) using agricultural practices; and a SLU index derived from the integration of these indicators. The application of the framework to a case study, consisting of 1319 farm plots in Tanzania, reveals that SOC and N balance were the main contributors to the SLU gap. Only 2.2% of the plots qualified as being used sustainably. The framework proved to be sensitive to practices commonly used by farmers, thus providing an opportunity to identify practices needed to revert land degradation. Further application of the framework as a decision-support tool can enhance the efficiency of SI investments, by targeting practices which effectively enhance food production and preserve land.

ArticleLow adoption of sustainable intensification technologies hinders achievement of their potential impacts on increasing agricultural productivity. Proper targeting of locations to scale-out particular technologies is a key determinant of the rate of adoption. Targeting locations with similar biophysical and socio-economic characteristics significantly increases the probability of adoption. Areas with similar biophysical and socio-economic characteristics are referred to as recommendation domains (RDs). This study used geospatial analysis to delineate sustainable recommendation domains (SRDs) for scaling improved crop varieties and good agronomic practices in Tanzania. The study uses K-means clustering to identify relatively similar clusters from grid raster’s representing biophysical and socio-economic environments. Critical ecosystems are masked-out from the clusters to generate the SRDs. The potential impacts of scaling technologies in the generated SRDs were assessed and a spatial targeting index developed. Results identify 20 SRDs and the bio-socio-economic gradients that delineate them. This study proposes an Impact Based Spatial Targeting Index (IBSTI) as an objective tool for priority setting when scaling agricultural technologies. IBSTI identified priority areas within each SRD that should be targeted to maximize potential impacts of a scaling intervention. The data-driven clustering method is recommended for regions with limited technology trials. Results demonstrate the potential of geospatial tools in generating evidence-based policies on scaling of sustainable intensification technologies.IFPRI3; ISIEPTDP

Community-based extension services (CES) are vital for improving farmers’ livelihoods, but most of them face a challenge of sustainability after phasing out of the externally funded initiatives that they are part of. This study estimated farmer’s willingness to pay (WTP) for four types of agricultural extension services (AES) in the cereals’ value chains provided as a part of two United States Agency for International Development (USAID)-funded Feed the Future initiatives in Tanzania. Data were collected from 595 smallholder cereal farmers using a primary survey in four districts of the Southern Highlands. We implemented a double-bounded dichotomous choice contingent valuation method. Average WTP figures ranged from 20,000 to 24,000 TZS (8–10 USD) depending on the type of AES. Several socioeconomic and agriculture-related variables influenced smallholders’ WTP for the extension services. This research explored the feasibility of a farmer-led model as a pathway to delink extension services from public and donor funding to achieve sustainable rural development. Farmers place a monetary value on extension services indicating that policymakers and practitioners should make further efforts to enhance a community’s ability to achieve self-reliance through investments in CES.

One of the widely suggested approaches to meet the increasing food demand of a substantially growing world population is sustainable intensification. We present a unique agricultural research and scaling programme in Tanzania, focusing on the key elements necessary for results related to: gender analysis; private sector engagement; social capital; improvement and adaptation; and programme performance monitoring and evaluation. Since 2014, more than 6000 farmers have benefited from either the adaptive research or the scaling component of the programme. Preliminary impact analysis results from six pilot locations indicate that programme participants realized significantly higher yields compared to non-participants. In addition to productivity improvements, introducing resistant and drought-tolerant elite vegetable varieties improved the resilience of the existing farming systems. Finally, considering the needs of both male and female participants had a positive impact on technology adoption rates and reach.