Diagnostic Tests and their Application in the Management of Soil- and Water-borne Oomycete Pathogen Species

Oomycete diseases cause significant losses across a broad range of crop and aquaculture commodities worldwide. These losses can be greatly reduced by disease management practices steered by accurate and early diagnoses of pathogen presence. Determinations of disease potential can help guide optimal crop rotation regimes, varietal selections, targeted control measures, harvest timings and crop post-harvest handling. Pathogen detection prior to infection can also reduce the incidence of disease epidemics. Classical methods for the isolation of oomycete pathogens are normally deployed only after disease symptom appearance. These processes are often-time consuming, relying on culturing the putative pathogen(s) and the availability of expert taxonomic skills for accurate identification; a situation that frequently results in either delayed application, or routine ‘blanket’ over-application of control measures. Increasing concerns about pesticides in the environment and the food chain, removal or restriction of their usage combined with rising costs have focussed interest in the development and improvement of disease management systems. To be effective, these require timely, accurate and preferably quantitatve diagnoses. A wide range of rapid diagnostic tools, from point of care immunodiagnostic kits to next generation nucleotide sequencing have potential application in oomycete disease management. Here we review currently-available as well as promising new technologies in the context of commercial agricultural production systems, considering the impacts of specific biotic and abiotic and other important factors such as speed and ease of access to information and cost effectiveness

Growing Well-beings: the Positive Experience of Care Farms

Objectives: Care farms enable people who are in some way vulnerable to engage with agricultural places and farming activities. This study investigates how this impacts on the health and well-being of service users and explores associated processes and outcomes. Design: A mixed methods design was adopted that allowed for the integration of quantitative measurements of change with qualitative descriptions of this change. A pragmatic approach provided sufficient flexibility to support the investigation of complex contexts. Methods: A total of 216 service users completed an initial questionnaire, and 137 (63%) of this number provided comparative data in a follow-up questionnaire. Questionnaires contained multiple choice and open-ended questions alongside standardized health and well-being measures requiring Likert-format responses. Semi-structured interviews with 33 service users allowed personal experiences to be detailed. Results: Statistical analysis of well-being measure scores identified significant positive relationships with the length of time people had been attending the care farm. Questionnaire and interview data presented health benefits as being enabled by the farm environment, the positive experience as supporting personal development, and associated social interactions as becoming increasingly influential as time progressed. Conclusions: The health and well-being outcomes that result from participating at a care farm influence multiple elements of the human condition and apply amongst vulnerable people with a wide range of personal needs. Care farms have access to a potentially unique range of resources that can support many service users in becoming happier and healthier individuals.