Browsing by Author "Jassogne, Laurence"

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    A stepwise approach to facilitate adoption of climate smart practices for smallholder coffee production in Uganda
    (Taylor & Francis Ltd, 2025-07-13) Mukasa, David;; Rusinamhodzi, Leonard;; van Asten, Piet. J. A. ;; Amwonya, David;; Sseguya, Haroon;; Okiror, Faith Akello;; Kirungi, Diana;; Wodada, Wilberforce;; Komakech, Victor;; Margiotta, Sarah;; Jassogne, Laurence
    Adoption of Climate-smart Agricultural Practices (CSA) enhances crop productivity and livelihoods. Smallholder coffee farmers in Uganda receive training on good agricultural practices (GAPs) through extension programs, but adoption remains low. Adopting all ‘best practices’ at once may be unrealistic for resource-limited, risk-averse smallholders. This study tested a Stepwise approach, breaking GAPs into manageable, incremental investments. Field trials were conducted in Luweero (Central) and Sironko (East) districts of Uganda, with 16 demonstration sites using randomized treatments and the control (farmer practice), divided into four steps. Each site served 25–30 farmers through experiential learning. A co-design method ensured farmer involvement in the design, development, and testing for sustainability. Results from two harvests (2018–2019) showed significant cumulative yield gains over the control. Arabica yields increased by 31%, 43%, 54% and 65% across Steps 1-4,. Robusta showed gains of 7%, 22%, 23% and 39% respectively. Marginal rate of returns (MRR) was relatively high for Step 1 (563%), 2 (169%) and 4 (122%) for Robusta coffee , and 221%, 217% and 485% for Step 2, 3 and 4 for Arabica coffee respectively. The Stepwise approach demonstrated improved yield gains and increased farmer income.
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    Integrating local knowledge with tree diversity analyses to optimize on-farm tree species composition for ecosystem service delivery in coffee agroforestry systems of Uganda
    (Agroforestry Systems, 2019) Bukomeko, Hannington; Jassogne, Laurence; Tumwebaze, Susan Balaba; Eilu, Gerald; Vaast, Philippe
    Coffee agroforestry systems deliver ecosystem services (ES) critical for rural livelihoods like food but also disservices that constrain livelihoods like fostering coffee-pests. Since such ES are tree-based, maximizing ES and limiting constraints requires knowledge on optimizing on-farm tree composition especially trees adapted to local conditions. The study was in three sites along a rainfall gradient in Central Uganda where we: assessed tree diversity in coffee agroforestry; ranked tree suitability for providing ES according to farmers’ knowledge; and then proposed an approach for optimizing on-farm tree composition for delivery of ES. We collected data on tree diversity and, farmers’ knowledge of tree species and the ES they provide. Farmers ranked ES in order of importance to their livelihoods (‘Needs rank’) and ranked trees according to suitability for providing ES. Using Bradley Terry modeling, we grouped trees into ‘ES groups’ according to suitability for providing different ES and ranked ‘ES groups’ according to tree diversity (‘Diversity rank’). Tree-suitability for providing ES and importance of ES to farmers varied with rainfall regime but tree diversity did not match farmers’ needs for ES. We propose the FaD–FaN (matching farm tree diversity to farmers’ needs) approach for optimizing tree species composition with respect to tree-suitability for farmers’ priority ES. Farmers locally prioritize ES needed and identify trees that best serve such ES. The approach then focuses on modifying on-farm tree diversity to match/suit farmers’ priority ES. The FaD–FaN approach caters for varying socio-ecological conditions; it’s adaptable for other coffee and cocoa-growing areas worldwide.