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The purpose of this study was to understand the indicators that farmers use to prioritize agricultural innovations, in general, and climate-smart agriculture (CSA), in particular.


Shikuku, K.M.Mwongera, CarolineWinowiecki, Leigh A.Twyman, JenniferAtibo, ChristopherLäderach, Peter[Understanding farmers’ indicators in climate-smart agriculture prioritization in Nwoya District, Northern Uganda]Understanding farmers’ indicators in climate-smart agriculture prioritization in Nwoya District, Northern Uganda

In order to increase the uptake of climate-smart agriculture (CSA) technologies, it is important to understand the contexts in which farmers operate. Farmers use different indicators to decide whether or not to implement, what to implement, and where to implement specific technologies. Identifyin...


Shikuku, K.M.Mwongera, CarolineWinowiecki, Leigh A.Twyman, JenniferLäderach, Peter[Understanding farmers’ indicators in climate-smart agriculture prioritization in the Southern Agricultural Growth Corridor of Tanzania (SAGCOT).]Understanding farmers’ indicators in climate-smart agriculture prioritization in the Southern Agricultural Growth Corridor of Tanzania (SAGCOT).

We examined the effect of multidimensional farmers’ beliefs on the likelihood of cultivating planting materials of biofortified orange-fleshed sweetpotato (OFSP) varieties. Using a panel dataset and combining difference-in-differences regression with propensity score matching, results showed posi...


Shikuku, K.M.Okello, Julius JumaSindi, KirimiLow, J.W.McEwan, M.[Effect of Farmers’ Multidimensional Beliefs on Adoption of Biofortified Crops Evidence from Sweetpotato Farmers in Tanzania]Effect of Farmers’ Multidimensional Beliefs on Adoption of Biofortified Crops Evidence from Sweetpotato Farmers in Tanzania

The process of getting climate-smart agricultural (CSA) interventions and practices to farmers is just as important as the interventions and practices. Given the complex systems in which CSA is implemented and the various CSA practices and technologies, there is no one-size-fits-all scaling path...


Mwongera, CarolineMwungu, Chris MiyinziLäderach, PeterAcosta, MariolaAmpaire, Edidah L.Eitzinger, AntonLamanna, ChristineShikuku, K.M.Twyman, JenniferWinowiecki, Leigh A.[Target the pathways to scale out climate-smart agricultural technologies to farming communities]Target the pathways to scale out climate-smart agricultural technologies to farming communities

Recognizing successful climate-smart agricultural (CSA) practices is not enough for them to be adopted at scale. At many sites, government or development-led interventions to promote CSA practices face low adoption rates or are not adopted at all. Data shows that CSA adoption depends on drivers...


Läderach, PeterMwongera, CarolineLamanna, ChristineAcosta, MariolaAmpaire, Edidah L.Eitzinger, AntonMwungu, Chris MiyinziShikuku, K.M.Twyman, JenniferWinowiecki, Leigh A.[Know what drives the adoption of climate-smart agriculture across different scales]Know what drives the adoption of climate-smart agriculture across different scales

Research suggests that farmer-to-farmer learning can be up to six times more effective in spreading knowledge of CSA practices than in areas where it is not carried out. Understanding the wider context and requirements for social learning is key. Peer learning is an effective way to disseminate C...


Shikuku, K.M.Mwongera, CarolineLäderach, PeterAcosta, MariolaAmpaire, Edidah L.Eitzinger, AntonLamanna, ChristineMwungu, Chris MiyinziTwyman, JenniferWinowiecki, Leigh A.[Support farmer-to-farmer and community-wide social learning]Support farmer-to-farmer and community-wide social learning

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