Little is known about effective ways to operationalize agricultural innovation processes. The authors of this article use the MasAgro program in Mexico (which aims to increase maize and wheat productivity, profitability and sustainability), and the experiences of middle level ‘hub managers’, to understand how innovation processes occur in heterogeneous and changing contexts. Their research shows how a program, that initially had a relatively narrow technology focus, evolved towards an innovation system approach.

The aim of the book is to present contributions in theory, policy and practice to the science and policy of sustainable intensification by means of technological and institutional innovations in agriculture. The research insights re from Sub-Saharan Africa and South Asia. The purpose of this book is to be a reference for students, scholars and practitioners inthe field of science and policy for understanding and identifying agricultural productivity growth potentials in marginalized areas.

Smallholders in Asia and Africa are affected by increasingly complex national and global ecological and economic changes. Agricultural innovation and technology shifts are critical among these forces of change and integration with services is increasingly facilitated through innovations in institutions. Here the authors focused mainly on innovation opportunities for small farmers, with a particular emphasis on marginalized small farm communities. The chapter elaborates on the concept of the ‘small farm’ and offers a synthesis of the findings of all the chapters in this volume.

The aim of this study was to identify the actors involved in the innovation system producers of corn Mexico Center Region, highlighting the role of the actors of institutional support in adoption of innovations. To do this, 490 corn producers served within the framework of MasAgro 2012 program, in the states of Guerrero, Hidalgo, Puebla, Morelos, State of Mexico and Tlaxcala were interviewed. The degree of adoption of innovations was measured, and using the methodology of social network analysis linking between actors analyzed.