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.
Ce guide pratique s'adresse aux députés et aux conseillers parlementaires, qui sont considérés comme des «agents de changement». Il donne une vue d’ensemble exhaustive et systématique du rôle que les parlementaires peuvent jouer dans la création d’«environnements favorables» fiables, cohérents et transparents dans les différents domaines liés à l'investissement dans les systèmes agricoles et alimentaires.
Unlike in many other countries, in Bulgaria there are no comprehensive analysis of the state and evolution of the system of knowledge sharing, innovation and digitalization in agriculture (AKIS). The goal of this paper is to fill the gap and analyze the state, efficiency and factors of the agricultural knowledge sharing, innovation and digitalization in Bulgaria at current stage of development.
Agricultural production is a crucial and fundamental aspect of a stable society in China that depends heavily on the climate situation. With the desire to achieve future sustainable development, China’s government is taking actions to adapt to climate change and to ensure food self-sufficiency.
The profound changes in European policy for farms advisory services (FAS) require a period of experimentation and results observation before the new CAP 2021-2027. This paper focuses on Measure 2 of Rural Development Programme (RDP) 2014-2020. The paper is focused on the description of case studies in three Italian regions: Campania, Emilia-Romagna and Veneto. Different Measure 2 – sub-measure 2.1 models are analyzed through a qualitative approach, using a conceptual framework adapted by Birner et al. (2009).
This paper aims to explore the new challenges encountered in the education of innovation and entrepreneurship in agricultural colleges and universities as well as the new perspectives and possibilities brought by the new agricultural construction for the education of innovation and entrepreneurship in agricultural colleges and universities. Based on the perspective of the construction of new agricultural science, schools need to integrate innovation and entrepreneurship education with all educational work in schools.
The core idea of the article is the existence of complicated array of deterrent factors that influences innovation activity of agriculture organizations, and subjective, psychological factors among those factors as well. The main goal of this work is to assess the top management and proprietors’ of AIC enterprises readiness to implement the innovations. As a research’ working hypothesis used the decisive role of human factor in answering the question whether to innovate or not.
Developing irrigation technology for a diversity of farmers with rapidly changing demands can be hard for designers, especially when the technology concerns smallholders in developing countries. Innovation networks supporting the adopted technology increasingly include both globalised players and very local actors, making innovation intermediaries capable of translating innovation issues for different actors increasingly indispensable.
The aim of this article is to show the relevance of the sociology of market agencements (an offshoot of actor-network theory) for studying the creation of alternative agri-food networks. The authors start with their finding that most research into alternative agri-food networks takes a strictly informative, cursory look at the conditions under which these networks are gradually created. They then explain how the sociology of market agencements analyzes the construction of innovative markets and how it can be used in agri-food studies.
Agriculture 4.0 is comprised of different already operational or developing technologies such as robotics, nanotechnology, synthetic protein, cellular agriculture, gene editing technology, artificial intelligence, blockchain, and machine learning, which may have pervasive effects on future agriculture and food systems and major transformative potential. These technologies underpin concepts such as vertical farming and food systems, digital agriculture, bioeconomy, circular agriculture, and aquaponics.