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The aim of this project is to produce a composite breed of hill sheep that is capable of surviving and being productive under ongoing challenges from climate change. More sustainable feeding and management strategies will be developed, including taking the maintenance of biodiversity into account.
The project is creating new understandings of persistent and emerging challenges/opportunities in rural and island communities. Combining evidence from citizen science, secondary data analysis, qualitative work with stakeholders and communities, policy reviews, and international learning, recommendations are being made for policy that ensures sustainable, inclusive and just futures for rural and island communities.
Use of precision livestock farming tools is increasing globally. When exploited fully, these can aid farm-level management, improve animal health, welfare and productivity, monitor or reduce emissions, and improve traceability. This project explores current and new digital innovations, key barriers to adoption and solutions, and provide a robust evidence base demonstrating benefits of integrated data use within beef, sheep and dairy systems.
This project uses experimental and national farm data to develop new analytical methods to create new predictions, alerts and management tools for dairy cow, herd and supply efficiency, health and sustainability.
This project aims to understand how to influence consumers to make long-term changes in dietary behaviours, more specifically, assess UK and international approaches to driving long-term changes in dietary behaviour at population level and understand facilitators and barriers for consumers to make healthier and more sustainable food choices, with a focus on reducing health inequalities.
We aim to address the risks posed by pathogens and pests for sustainable production of potato and soft fruits that are of great importance to Scotland. The project is highly interdisciplinary and utilises established expertise in plant and pathogen genomics, genetics, phenotyping and cell biology, through to breeding.
Working with public and private data sources, we are developing new systems to integrate data to help develop, test and identify implementation routes for national level livestock improvement tools.
This project is modelling scenarios of alternative livestock futures for Scotland and identifying appropriate improvement tools to get there considering policy and sustainability of the transition paths.
This project uses existing and new data on farm businesses to provide a baseline of basic and best practice adoption in Scotland that can be used to evaluate future change. Using information provided by farmers in surveys and workshops, it also aims to identify opportunities for promoting best practice uptake across the agricultural sector to achieve enhanced agricultural productivity while reducing the overall impact on the environment.
This project is providing evidence for understanding factors leading to demonstrable change in innovation and investment in Scottish food supply chains, in particular the role of policy and government support through (1) mapping and (2) ranking incentives to innovation uptake by their effectiveness; and (3) developing models of support to innovation uptake at supply chain level feeding into an innovation uptake incentive framework at sectoral level.