This document sets out how EU Research and Innovation (R&I) policy contributes to the major global challenge of ensuring food and nutrition security (FNS). It is a first step in the further development of a more coherent approach to European R&I which aims at mobilising resources and stakeholders to set out aligned R&I agendas in response to recent international political drivers such as the Sustainable Development Goals and the COP 21 climate commitments.
The main objective of the Guidelines is to provide a non-binding complement to other guidelines and offer advice to RDP evaluation stakeholders on how to carry out the evaluation activities for answering the common evaluation questions related to innovation. Since the RDP’s effects on innovation in rural areas can be expected to take place, most likely, in the long-term, the guidelines focus in particular on those evaluation related activities, which will be reported in the AIR in 2019 and in the ex post evaluation. The Guidelines are structured in three parts:
El trabajo se organiza mostrando, primero, una visión de las posibilidades que el uso de las TIC ofrece a la agricultura y al desarrollo de los sectores rurales para centrarse, después, en las barreras y limitaciones que impiden la generalización del uso y adopción de esas tecnologías por los agricultores. En seguida, se hace un estado de situación sobre las políticas y estrategias digitales dirigidas al mundo rural y agropecuario, se describen las experiencias de los países y, finalmente, se plantean algunas sugerencias de políticas digitales para el sector
This paper offers a perspective on the Agricultural Knowledge and Innovation System. The first chapter gives an introduction to the subject and explains the role of SCAR and of the Strategic Working Group AKIS. The second chapter investigates the AKIS and their role in innovation, including the policy context of the European Innovation Partnership “Agricultural productivity and sustainability”. Chapter 3 discusses the relation in a globalised world between Agricultural Research (AR) and Agricultural Research for Development (ARD).
This report refers to the workshop which was held on October 21-25, 2013 at ILRI Campus in Nairobi, Kenya. The workshop involved a variety of sessions which made use of presentations, card exercises, group work and discussions to facilitate the engagement of the participants in sharing, learning, discussing and planning around CapDev in CGIAR. This report provides an overview of the workshop sessions, focusing mainly on the key discussion topics, results and next steps.
With support from The Technical Centre for Agricultural and Rural Cooperation ACP-EU (CTA), through a call for proposal, Hello Tractor an agriculture technology social enterprise has been selected to implement ICT-enabled smallholder mechanisation services with the objective to create jobs for youth across Nigeria and Kenya over a one-year period. Hello Tractor has a bold vision to create sustainable value for tractor owners and to radically transform how the smallholder agricultural ecosystem interacts with and derives value from technology.
Genetic improvement on local breeds kept by small farmers in developing countries is challenging. Even though good pedigree and performance recording is crucial and an important component of breeding programs, it remain difficult or next to impossible under conditions of subsistence livestock farming. This means that standard genetic evaluations, as well as selection and planning of mating based on estimates of the animals' genotypes, cannot be done at any level in the population of the target breed or genetic group.
- Lack of automated data capture systems affects timely feedback and accuracy of information for breeding decisions.
- CGIAR researchers and national research partners have adopted a digital genetic database, Dtreo, that is enhancing genetic improvement by providing timely and accurate animal ranking information to communities.
- Dtreo is a digital genetic database that is flexible and easy to use, that allows users to capture and save data offline. Data is uploaded to the database once an internet connection has been established.
Digital platform enhances genetic progress in community-based sheep and goat breeding programs in Ethiopia:
- Up-to-date information on estimated breeding values and animal rankings is directly channeled to breeder organizations and used for selection decisions.
- The digital platform motivated use of more complicated evaluation models which improve accuracy of breeding values considerably.
- When upscaled, this will help create a permanent multi-country source of information.
Ethiopia is a home for diverse livestock including small ruminants and has the largest population of livestock in Africa. Livestock is kept for export earnings, food security, economic growth, poverty reduction and employment opportunities. Small ruminants are an important resource for livelihood and food security improvement serving as sources of food, income, risk mitigation, property security, monetary saving, investment, and providing other social and cultural benefits.