This book attempt to analyses the small ruminant livestock production and marketing systems in Benin Republic, to identify the constraints, source solutions and explicate the innovation opportunities within the industry. The book explicated both the technological, institutional or infrastructural modification including market, policies, social interactions that could be manipulated to yield improved productivity and profitability. It further explored both qualitative and quantitative value chain analysis of gains from the adjustments of the interventions of different actors.

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

This article used thematic content analysis to assess the influence of IPs on the governance of the parboiled rice value chain. The findings reveal that local rice value chains are characterized by unequal access to resources and asymmetry of power, which generates inequalities within groups. Although their influence is less discernible, IPs have contributed to greater visibility for some emerging stakeholders and rebalanced stakeholders in terms of influence in value chains

This paper shows there is a fundamental significance of Social Learning to agricultural innovation, which can be operationalized by framing agricultural innovation as changes in understanding, practices and relationships. The use of  Social Learning as a design framework supports the emergence of agricultural innovations that bring equitable benefits, are sustainable and are innovated in context.

In this paper, was used a case study approach to investigate the patterns of employment and income generation in cotton and rice value chains in Senegal and Benin. The purpose of the paper is to provide a comprehensive description of both value chains in both countries, emphasizing export potential and innovation entry points with the goal of assessing capacity to generate income, create jobs, and bring about food security.