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To advance our knowledge of how to improve disease control strategies through epidemiological and socio-economic approaches. This includes research into the spread of important, targeted, endemic pathogens and antimicrobial resistance (AMR) via livestock and the environment including transmission of such pathogens to humans. In order to achieve this, we will more specifically: analyse existing, large data sets to improve knowledge of the threat of disease incursion and to aid the rapid detection of endemic livestock diseases. investigate new strategies for disease control and investigate two
The aim of research deliverable is to explore the uptake of practices which improve the efficiency, productivity and sustainability of land, crop and livestock management throughout Scotland. The research builds on previous work within the RESAS Strategic Programme and on collaborations with UK and international partners.
The key aims and drivers of this research are: Trade-offs in livestock systems. There is a need to understand how best to improve the production, economic and wider environmental resilience and sustainability of upland sheep systems which cover over 60% of farmed land in Scotland. This project has established two alternative Precision Livestock Farming (PLF)-based upland sheep systems and is subsequently comparing and contrasting the overall sustainability of the systems. Sustainability metrics being assessed include a focus on environmental implications (e.g. above and below ground carbon
This RD will involve the development of tools and strategies to promote the increased use of data from across agricultural supply chains and industry networks, for management and feedback, in order to improve efficiency across the agri-food industry. We will focus on developing methodologies to help quantify and communicate the uncertainties resulting from pooling data across the supply chain. We will develop crop and livestock case studies building links with RDs 2.3.9 & 2.4.1 (barley) and WP2.2 & 2.4 (beef supply chains). We will work with cattle industry data to identify data that could be
The aim of this research is to develop integrated management systems to enhance economic and environmental sustainability in agriculture, focusing on two production systems: arable and ruminant livestock. First, new technologies and management strategies rom existing research and linked RDs (primarily 2.1.6, 2.1.8, 2.3.4, 2.3.8) will be reviewed to identify state-of-the-art best practice options. These will then be combined into a set of integrated management systems, applied in four case studies: animal mounted sensors for the detection of parturition in beef cattle; targeted selective
Our overall aim is to investigate the potential productivity and environmental impacts of the introduction of alternative land management practices including measures introduced as part of CAP Greening. We will investigate both technological and knowledge based solutions, involving participatory approaches with farmers and land managers, in order to deliver profitability and step changes in environmental performance. The research builds on previous work within the RESAS Strategic Programme and on collaborations with UK and International partners.
The aim of this work is to develop novel approaches to improve the understating of environmental and management controls of nitrous oxide emissions from the soils, and to improve the estimation of methane emissions from grazing cattle and sheep. The work also aims to provide policy and practical guidelines to greenhouse gas mitigation in Scottish farming, through a wide process of engagement with key stakeholders. The research builds on previous work within the RESAS Strategic Programme and on collaborations with UK and International partners.
The Sustainable Soil and Water Management Deliverable has three broad aims. First, we will generate new knowledge to help enhance the sustainable use and management of soils and water in agricultural systems whilst reducing environmental impact. Work will be informed by the application of existing and novel models, soil management interventions, plant genotypes and soil quality indicators. Second, we will deliver improved management packages that will optimise productivity with reduced inputs of energy, traffic and agrochemicals, while enhancing soil quality and function, as well as reducing
Disease Threats in the Environment: Investigate the importance of the environment in disease transmission and host susceptibility to improve risk prediction and ultimately disease control. This aligns with the UK Animal and Plant Health Agency (APHA) strategy and will contribute towards the vison for capacity building and further integration. The work is split into four main objectives: (1) wildlife ecology; (2) the impact of farm management practices on disease risk; (3) a role for the environment on disease transmission; and (4) systems approaches for disease control.
We aim to address a research gap by suggesting how policy can be designed to target maximum diversity conservation (including co-benefits) at minimum cost; where cost and benefits are both financial and social. Sub-objectives are: demonstrate the extent to which this diversity objective corresponds to (or accommodates) a demand for other socially and culturally relevant objectives that also contribute to resilience such as maintaining population structures, health/welfare, cultural value of rare breeds and landraces in marginal areas. consider how modern DNA technologies can contribute to