A social networks approach for strengthening participation in technology innovation: lessons learnt from the Mount Elgon region of Kenya and Uganda

Participatory approaches to agricultural technology development have not yet fully lived up to their promise to incorporate farmer knowledge. This paper introduces a social networks approach (SNA) to improve participatory research processes for co-innovation. Drawing upon findings from a collaborative project developing conservation agricultural production systems for smallholders in western Kenya and eastern Uganda, the paper explores farmer support networks to improve participation in technological innovation and development. Key research themes include: identifying farmers’ agricultural production networks; the local articulation of agricultural production networks and mindsets; using networks to facilitate meaningful participation in technology development; and disadvantages and advantages of using a social network approach. The introduction of SNA improved participatory research by building external and internal legitimacy for determining who participates, discouraging participatory attrition, and providing a meaningful forum for participation of all stakeholders. As a result, the introduction of SNA is demonstrated to show strong promise for improving processes of participatory technology development in agriculture.     

The positive impacts of irrigation schedules on rice yield and water consumption: synergies in Jilin Province,Northeast China

Food and water security in China are inextricably linked to the development of regional economy, especially for regions with temporary or sustained water shortage such as Jilin Province in northeast China. Water-saving irrigation practices are therefore urgently sought to maintain sustainable growth in grain production. To improve knowledge of the effect of irrigation water level on rice yield and water-use efficiency (WUE), we conducted a field experimental study over two growing seasons in central Jilin. The irrigation experiment included four schedules: (1) traditional irrigation (CK), (2) shallow wet irrigation (T1), (3) intermittent irrigation (T2), and (4) controlled irrigation (T3). Soil test pits were used to estimate evapotranspiration and seepage. The study showed that T3 had the highest WUE (1.64?kg/m³). However, the highest rice yield was found in T1 (9867?kg/ha¹) that achieved the second highest WUE (1.63?kg/m³). Compared with CK, T1 and T3 consumed 7.3% and 36.1% less water, respectively. If adopted at the operational scale, these two schedules could help reduce the pressure of local surface water supply and the production costs significantly. The results gained from this study could also have relevant implication in developing an effective irrigation management for other high-latitude regions.