Genomic regions associated with spot blotch resistance in elite barley breeding populations.

Unlabelled: Spot blotch (SB), a prevalent foliar disease of barley, is caused by the hemibiotrophic fungal pathogen . Predominately occurring in humid growing regions worldwide, SB can result in yield losses of up to 30%. Genetic resistance remains the most effective strategy for disease management; however, most Australian barley cultivars exhibit susceptibility despite the previous identification of major resistance loci.

Safety and humoral immunogenicity of the ChAdOx1 nCoV-19 vaccine administered as a fourth dose booster following two doses of ChAdOx1 nCoV-19 and a third dose of BNT162b2 (COV009): a prospective cohort study.

Objectives: Evaluation of the safety and humoral immunogenicity of ChAdOx1 nCoV-19 as a fourth dose booster in individuals who have had two initial doses of the vaccine and a third dose of BNT162b2.

Methods: COV009 is a safety follow-up study of volunteers enrolled in the pivotal pre-licensure ChAdOx1 nCoV-19. In this sub-study 149 eligible participants were given a fourth dose of ChAdOx1 nCoV-19.

Development of a patient-oriented transfer tool for transition from the intensive care unit to the ward: a mixed methods study.

Purpose: The use of patient/family-centred written summaries to supplement verbal information may be useful to improve knowledge and reduce anxiety related to patient transfer from the intensive care unit (ICU) to a hospital ward. We aimed to identify essential elements to include in an ICU-specific patient-oriented discharge summary tool (PODS-ICU).

Methods: We conducted a mixed methods study.

Rapid and Robust Monitoring of Phytophthora Infectivity Through Detached Leaf Assays with Automated Image Analysis.

The detached leaf assay is a valuable method for studying plant-pathogen interactions, enabling the assessment of pathogenicity, plant resistance, and treatment effects. In this protocol, we outline how to set up a Phytophthora detached leaf assay and use non-expert machine learning tools to increase the reliability and throughput of the image analysis. Utilizing ilastik for pixel classification and Python scripts for segmentation, manual correction, and temporal linking, the pipeline provides objective and quantitative data over time.