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Item How innovation platforms govern the experiential learning process of coffee farmers in Uganda(African Journals Online, 2024-12-16) Ochago, RobertWhile researchers, development actors, and policymakers recognize that Innovation Platforms govern farmers' development knowledge when attempting to address challenges, the question of how IPs’ governance mechanisms affect their learning process remains unaddressed. Using data from a cross-sectional survey of 214 coffee IP farmers, this study employs Partial Least Squares-Structural Equation Modeling (PLS-SEM) to analyze the relationships between IP governance and farmers’ experiential learning. The relationship between challenges, reflection, experiential knowledge, active experimentation, and IP governance mechanisms (that is, IP members' commitment and trust, IP members' involvement, and Member access to IP resources) was specifically examined. Results show that when farmers try to address their challenges, IP governance mechanisms positively and negatively affect their acquisition of experiential knowledge through reflection and active experimentation using existing knowledge. Specifically, Innovation Platform members' commitment, trust, and involvement significantly and positively moderate the link between farmers’ challenges and their reflection, while the influence of members' access to IP resources is insignificant. Similarly, while access to IP resources has an insignificant and negative moderation effect on the link between farmers’ reflection and experiential knowledge, IP members' commitment, trust, and involvement have positive but insignificant effects on them. Farmers' commitment, trust, involvement, and access to IP resources did not affect the relationship between their experimentation and experiential knowledge. Finally, the IP members' commitment, trust, involvement, and access to IP resources have insignificant effects on the relationship between farmers’ active experimentation and their challenges. Coffee farmers should use their networks to encourage commitment and involvement in intellectual property to reflect and gain knowledge. Similarly, IP facilitators should build trust among their members. Agriculture extension policymakers can use IPs as units to identify practical interventions to local challenges and improve targeted rural agriculture value chains by connecting different stakeholders to farmers at the community level because reflection as a learning activity must be consciously elicited through learning actions.Item What does the reflective learning of Ugandan coffee farmers mean for agricultural extension and advisory services?(EScience Press, 2024-08-23) Ochago, RobertWhereas reflection is essential for learners to make sense of their challenging experiences, little is known about how farmers reflect on their challenging experiences in agricultural practices. This study explores how farmers reflect on their challenges in coffee value chain practices. Using qualitative methods, including focus group discussions and individual interviews with 91 coffee IP farmers from diverse backgrounds, the study identified various challenges—pests and diseases, low and poor coffee quality, and untrustworthy and unreliable coffee buyers—that impact their livelihoods and production. Findings reveal that farmers' reflection varies in frequency and depth, with many engaging in informal discussions with fellow farmers in their communities and a smaller number using individual reflective methods. The research highlights that people who actively engage in reflective practices make more informed decisions, resulting in adaptive methods that improve resilience and sustainability in their farming operations. The study stresses the need to create an atmosphere that promotes structured reflection and peer-to-peer sharing, which will lead to better agricultural practices and outcomes in coffee sector.Item The effect of Ugandan coffee farmers’ role identity on their experiential learning(Sage, 2024-04-07) Ochago, Robert; Dentoni, Domenico; Mahdad, MaralBackground: Although the literature on education and learning sciences determined how student identities influence their experiential learning process, this link is less clear in the agricultural context, where farmers have faced unique value chain challenges i.e., production to marketing. Purpose: This study contributes to examining how farmers’ role identities support or hamper farmers’ experiential learning processes. Methodology: First, a qualitative analysis of 91 interviews with coffee farmers in Uganda was carried out to understand the nature and relevance of farmers’ role identities. Second, using partial least squares regression-based path analysis, the moderating effect of 214 coffee farmers’ production role identity on their experiential learning was assessed. Findings: Findings reveal that farmers’ identification as coffee farmers shape what, how, and when they learn from their value chain challenges. Farmers’ role identity, in particular, supports their reflection on past challenges to increase their challenge-solving knowledge, as well as experimentation to solve their challenges. Implications: This study integrates role identity theories in the study of learning processes in rural coffee value chains. Moreover, the findings suggest that agricultural extension workers should understand farmers’ identities and their influence on their learning to select the targets and developments of their training programs.Item Pioneering the use of embedded research translation methodology for potential increased income and livelihoods of smallholder farmers(2025-02-26) Kajobe, Robert; Kabuga, Experito Muyanja; Dricile, Ratib; Wadri, Victor; Malingumu, Richard; Yumbya, PeninahWhereas participatory research and development is widely acclaimed, an effective explicit procedure for ensuring end-user participation remains a holy grail. Our study proposes a simple participatory approach by operationalizing the Embedded Research Translation (ERT), developed by LASER PULSE, and demonstrates its application among smallholder vegetable farming communities in the West Nile sub-region of Uganda. The ERT involves integrating research findings directly into practical applications or solutions within specific contexts. It emphasizes collaboration between researchers and stakeholders, ensuring that findings are relevant, actionable, and effectively applied in real-world scenarios. It is built on four pillars: (i) partnerships between researchers and stakeholders (ii) engaging in a process of generating a relevant research (iii) product and (iv) dissemination of findings. Based on these pillars and their underlying principles, an implementation process is recommended, beginning with a start-up stage where researchers actively involve a diverse range of partners and stakeholders. This is followed by a design stage, characterized by participatory discussions, collaborative decision-making, and planning. These steps guide the implementation phase, during which partners remain actively engaged in research. Finally, the partnership collectively disseminates the findings to maximize impact and uptake. In our study, we adapted the method to Ugandan context using a five-stage procedure: In the first stage (understanding the context), researchers rapidly obtain as much information as possible about the relevant aspects of the target cropping system and the broad areas of intervention through literature review, and quantitative baseline surveys. This is followed by the second stage (co validation) in which the information is validated by stakeholders through FGDs and feedback meetings. At the third stage (co-selection of priority areas of interventions), researchers and stakeholders co-select target crops and specific constraints to be addressed. The fourth stage is co-development which involves co-ideation and co-testing of potential technologies. The final stage (dissemination) consists of scaling the co-developed technologies through the partnership and other dissemination channels.Item Providing targeted incentives for trees on farms: A transdisciplinary research methodology applied in Uganda and Peru(Elsevier, 2023-03-11) Rode, Julian; Escobar, Marcela Muñoz; Khan, Sabina J.; Borasino, Elena; Kihumuro, Phillip; Okia, Clement Akias; Robiglio, Valentina; Zinngrebe, YvesNative trees are central elements of sustainable agriculture, providing economic futures to rural populations while safeguarding biodiversity and ecosystem services. We present a diagnostic methodology for (i) identifying ‘incentive opportunities’ for farmers to plant and manage trees on farms; (ii) proposing targeted packages of incentive and finance instruments; and (iii) describing levers for policy integration to support their implementation. In two case studies from Uganda and Peru, the ‘incentive opportunities’ consist of providing technical and financial support to farmers for planting and managing trees, generating income sources from native trees and support from the beneficiaries of tree-based ecosystem services, and eliminating incentives for tree removal. Many instruments to promote trees on farms already exist, but implementation is hampered by weak and fragmented institutions, limited funding and low political priority. The proposed methodology can guide the development of incentive instruments as part of implementing policy strategies for integrated biodiversity conservation and sustainable development.Item A healthy diet for a growing population: a case study of Arua, Uganda(Springer Nature, 2023-01-27) Hermelink, Marleen I.; Pittore, Katherine H.; Álvarez Aranguiz, Adolfo; Pereira da Silva, Fatima I.; Roefs, Marlene M. I.; Kajobe, Robert; Malingumu, Richard; Hengsdijk, HuibIt is uncertain whether Sustainable Development Goal 2 (SDG2), a healthy diet for all, can be achieved in East Africa given its strong population growth, low agricultural yields, and the high perishability of nutrient-dense foods. We examine the consequences of a locally produced healthy diet on land use in a case study of the Arua district in Uganda. This type of analysis can alert policy makers to looming nutrition gaps and support the selection of alternative solution strategies. Using a linear programming (LP) model and three population growth projections, we estimate the minimum agricultural area needed in 2040 to produce a healthy diet that follows EAT-Lancet dietary diversity guidelines and supplies the average requirements of calories, proteins, Iron, and vitamin A. We also compare in scenarios to what extent i) production intensification, ii) food loss reduction, iii) by-product consumption, and iv) vitamin supplementation could reduce the required agricultural area. Results show that the necessary area to produce a healthy diet in 2040 is 160% larger than Arua’s current crop area and would greatly exceed the district’s total area. We also show that none of the changes proposed in our scenarios allows a sufficient increase in food production, suggesting that a mix of even more drastic changes across sectors will be necessary. The results underline the challenge for rural areas in East Africa like Arua to provide a healthy diet to its fast growing population, requiring integrated food system changes and policy coordination to orchestrate the increased availability of diverse and nutritious foods.Item Kernel morphometric characteristics and oil content among Shea tree genotypes in Uganda(African Journals Online, 2022-09-23) Odoi, J. B; Okia, Clement Akias; Gwali, S.; Odong, T. L.; Agaba, H.; Okullo, J. B. L.Shea tree (Vitellaria paradoxa subsp. nilotica) is an important commercial tree for domestic oil and industrial products of cosmetics, chocolate and other confectionaries traded grown worldwide. We studied seed morphometric characteristics and crude oil content of Shea nuts in Uganda. Five populations, comprising of 16 ethnovarieties, were selected from Eastern, Northern and West Nile Sub-regions of Uganda, based on their attributes as judged by the farmers. Fresh kernel weight ranged from 2 to 18.85 mg per seed. Kernel weight increased with Shea fruit weight (y = 0.1499x + 6.1887, R² = 0.306). Moyo district had the highest oil content (54.37 ± 0.32%); while Amuru district had the lowest oil content (50.5 ± 1.32%). Oil content decreased with increasing kernel size (y = -0.4541x + 57.303, R² = 0.2116) and dry matter content (y = 0.635x - 9.863, R²= 0.011); and varied between ethnovarieties and Shea tree populations, p = 0.003 and P< 0.001, respectively. Tinny seeded (45.7 - 65.49%), Round fruited (45.41 - 65.91%), Dwarf tree (45.19 - 64.19%), Elliptical fruited (45.32 - 64.19%) and Soft pulped (42.16 - 69.77%) ethnovarieties had the highest oil content. Narrow sense heritability (h2) for oil yield was 1.72; while response to selection (R) was 16.48 with genetic gain (Gs) of 2.21%, given 10% top selection intensity.