The success of multi-stakeholder ARD (Agricultural Research for Development) partnerships is often attributed to stakeholder interaction and knowledge exchange, collective learning and establishment of mutual trust between the partners involved. Achieving these outcomes depends very much on the leadership of the partnership, and how this leadership relates to partnership facilitation and also project coordination and/or management. This brief explores the different skills and attitudes required by leaders of ARD partnerships, and how these relate to different contexts.
The purpose of this article is to investigate effective reformism: strategies that innovation networks deploy to create changes in their environment in order to establish a more conducive context for the realization and durable embedding of their innovation projects. Using a case study approach, effective reformism efforts are analyzed in a technological innovation trajectory related to the implementation of a new poultry husbandry system and an organizational innovation trajectory concerning new ways of co-operation among individual farms to establish economies of scale.
In this article it is analysed the results of applying a co-innovation approach to five research projects in the New Zealand primary sector. The projects varied in depth and breadth of stakeholder engagement, availability of ready-made solutions, and prevalence of interests and conflicts. The projects show how and why co-innovation approaches in some cases contributed to a shared understanding of complex problems. Our results confirm the context-specificity of co-innovation practices
Innovation platforms are widely used in agricultural research to connect different stakeholders to achieve common goals. This brief deals with the gender dimension in innovation platform and is part of the series of ‘practice briefs’ intended to help guide agricultural research practitioners who seek to support and implement innovation platforms.
La producción de miel en México es una actividad relevante del subsector pecuario, debido a la generación de empleos e ingresos en el sector agrícola, así como por su aporte de divisas. En el periodo de 2005 a 2015 la producción promedio anual fue de 58 mil toneladas, misma que fluctuó entre las 55 y 62 mil toneladas. Lo anterior ha ubicado a México como el octavo productor a nivel mundial y el tercer país exportador.
Con el fin de mejorar la eficiencia de la adopción de innovaciones tecnológicas en el cultivo de limón ‘Persa’ en San Pedro Tlapacoyan, Veracruz e incrementar el rendimiento de este frutal y la relación beneficio/costo (B/C) de esta actividad económica, se empleó la “metodología de innovación de la bitácora”, la cual se trabajó con 26 productores de esta comunidad durante tres ciclos de producción: 2005/2006, 2006/2007 y 2007/2008.
La literatura señala que la innovación tiene como base el conocimiento, para promover cambios que generen mayores beneficios en las empresas. En este trabajo, se analiza el nivel de adopción de innovaciones y los factores asociados en 94 empresas familiares agropecuarias y agroindustriales mexicanas, participantes en una capacitación enfocada en aspectos técnicos, administrativos, organizacionales y familiares. Se encuestó al 63% de estas empresas y se analizó la información a través de indicadores de innovación, comparación de medias y correlaciones.
CONTEXT: Adoption and diffusion of digital farming technologies are expected to help transform current agricultural systems towards sustainability. To enable and steer transformation we need to understand the mechanisms of adoption and diffusion holistically. Our current understanding is mainly informed by empirical farm-level adoption studies and by agent-based models simulating systemic diffusion mechanisms. These two approaches are weakly integrated.
Sustainable agricultural intensification requires the use of multiple agricultural technologies in an integrated manner to enhance productivity while conserving the natural resource base. This study analyses the adoption and impacts of sustainable intensification practices (SIPs) using a dataset from Ghana. A multivariate probit (MVP) model was estimated to assess the adoption of multiple SIPs. Moreover, we used a multivalued semi-parametric treatment effect (MVTE) model to estimate the effects of adopting multiple SIPs on maize productivity.
Precision agriculture (PA) is growing considerably in Brazil. However, there is a lack of information regarding to PA adoption and use in the country. This study sought to: (i) investigate the perception of growers and service dealership about PA technologies; (ii) identify constraints to PA adoption; (iii) obtain information that might be useful to motivate producers and agronomists to use PA technologies in the crop production systems.