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

This report aims to analyse the value chain of Organic Pinneaples in Uganda and to identify innovation opportunities in order to increase the market share of the product

The present study was commissioned to carry out an update of the “Integrated Agricultural Research for Development (IAR4D)” with a view to evaluating the quantitative and qualitative impact of the several outcomes on stakeholders in the The sub-Saharan Africa Challenge Program (SSA CP). The present study is also to validate the hypotheses that the IAR4D (i) works (ii) delivers more benefits than the conventional R&D method and (iii) can be scaled out and up beyond the current area of operation.

This paper discusses the key components of the technical and institutional innovations developed to address this food and nutrition security concern in Zambia using locally bred varieties registered with the Seed Control and Certification Institute (SCCI). The institutional collaborations arising from this Innovation Platform has brought together various organizations/institutions in the innovation process and led to the capture of up to 5% of the market share.

This situation analysis report provides a snapshot of the regional and subregional policies and frameworks that support biofortification and the organizations implementing various nutrition- sensitive initiatives. The report identifies some ongoing initiatives that are relevant to the The Building Nutritious Food Baskets (BNFB) Project mandate and that can be aligned to its activities to facilitate its starting up and scaling up. The report recommends the key actions necessary to facilitate increased investment in and scaling up of biofortified crops in sub-Saharan Africa.

The objective of this study was to analyse the economic and environmental impacts of the adoption of climate change adaptation strategies on farm management in Benin. The data were collected from 371 producers. Descriptive statistics, pie charts and histograms were used to represent and characterise the different adaptation strategies depending on the climatic risks experienced on the farms surveyed. The flora analysis tool EX-ACT developed by FAO allowed to evaluate greenhouse gas at farm level depending on the adaptation strategies used.

This study aims at exploring scaling up factors that determine the successful up scaling or otherwise of agriculture innovations in Ghana. This is done through a case study approach by analysing selected agricultural innovations to determine the strategies used to scale up as well as factors that account for successes or failures of the scaling up.

The study was conducted in Kirinyaga County on rice and bananas and in Kisumu County on rice. Was used qualitative and quantitative methods and interviewed 247 farmers comprising 182 rice and 60 banana farmers respectively. Ten key informant interviews were conducted in Ahero and nine in Mwea Rice Schemes and the surrounding areas. One focus group discussion was held with Mwea Jua Kali/Valley bottom farmers. The data were analysed using descriptive statistics, frequency analysis and cross tabulations.