The expected results of this report are the full understanding and identification of the frame that answers the following questions: To what level policymakers in Tunisia are committed? On what exact base the agricultural decisions, whether to support an innovation or not, are made? To answer these questions, interviews were made with key partners from public institutions on each success/failure case to identify the major strengths and weaknesses related to each agricultural innovation

The study is an attempt to identify the type and channels of acquiring agricultural information by farmers; and whether this information helps them in their decisions to adopt new and improved technologies, which can then be translated into higher yield.  A unique two-period panel data sets that come from surveys conducted in 2011 and 2013 by the Central Statistical Agency in collaboration with Ethiopian Strategic Support Program were used to evaluate Agricultural Growth Program (AGP)

The objective of this paper is twofold. First, using a three rounds panel data of 7110 households, was investigate the adoption decisions and the complementarities among the four labor-intensive technologies (agricultural extension service, irrigation, soil conservation and planting seeds in a row) and a comprehensive use of four modern inputs (improved seed variates, inorganic fertilizer, pesticides, organic fertilizer) which have been frequently adopted by smallholder farmers.

The study responds to the request by farmers in the Hohoe and Jasikan Rice Innovation Platforms, to identify traders and consumers’ rice preferences to enable them produce rice varieties that meet users’ demands. The study provided strategic guidelines for the development of a marketing and promotional plan for locally produced rice in Ghana. The report is structured as follows: Chapter one introduces the study including the study objectives, design and methodology.

This document has as objectives characterizing the promising technological innovations developed for rice, soybean, small ruminant and poultry sectors.

The current study sought to analyse the livelihood impact of innovation platforms on small holders in the study areas based on the previous studies that identified successful Innovation Platforms in Eastern and Western Kenya. The study concentrated on four successful innovation platforms that were identified in a previous study In that study, fifteen innovation platforms were ranked based on a given criterion out of which the four innovation platforms were purposively chosen.

This document ains to update the inventory of existing functional promising agricultural innovations in Nigeria. The salient results from this study are as follows: 116 technologies were identified nationally during the review period (2006-2014). The strongest or most frequent triggers of innovation include yield improvement, resistance to pests and diseases, wide ecological adaptation, high quality cassava flour, HQCF, shorter time to maturity, drought resistance, seed or grain colour, malting quality and grain weight or size.

The overall objective of this research was to undertake a rapid milk value chain analysis toward identifying innovation opportunitiesto boost the milk production in Rwanda. The identified opportunities include boosting milk production through improved cattle breeds and animal nutrition, introduction of small and medium scale processors, development of business hub models around MCCs, consumer sensitization and school programs to boost milk demand

This report make an analysis of Sorghum value chain in Uganda. Based on that, innovation opportunities in Uganda that can influence expansion of sorghum Value Chain and enhance socio-economic gains of all the actors are identified. Some of the identified opportunities among others include increasing farm level production through enacting supportive policy and providing support to organizations in seed production and distribution, introduction of small scale sorghum processing, and increasing their capacity as well as that of the existing processing entities