Microarray analysis was used to investigate changes in host gene expression during the primary stages of the interaction between the susceptible plant Arabidopsis thaliana (L.) Heynh ecotype Col-0 and the biotrophic pathogen Plasmodiophora brassicae Woronin. Analyses were conducted at 4, 7 and 10 days after inoculation (DAI) and revealed significant induction or suppression of a relatively low number of genes in a range of functional categories. At 4 DAI, there was induced expression of several genes known to be critical for pathogen recognition and signal transduction in other resistant host–pathogen interactions. As the pathogen further colonised root tissue and progressed through the primary plasmodium stage to production of zoosporangia at 7 and 10 DAI, respectively, fewer genes showed changes in expression. The microarray results were validated by examining a subset of induced genes at 4 DAI by quantitative real-time reverse transcriptase PCR (RT-qPCR) analysis all of which correlated positively with the microarray data. The two A. thaliana mutants jar1 and coiI tested were found to be susceptible to P. brassicae. The involvement of defence-related hormones in the interaction was further investigated and the findings indicate that addition of salicylic acid can suppress clubroot disease in A. thaliana plants.

The development of specific oligonucleotide primers for Plasmodiophora brassicae has led to a nested polymerase chain reaction (PCR) detection method for P. brassicae in soil and water. Initially, the PCR was used to amplify a section of the rDNA repeat. The PCR products were sequenced and the data used to design primers that were directed at the ribosomal RNA genes and internal transcribed spacer regions. Specificity was tested against more than 40 common soil organisms, host plants, and spore suspension contaminants, as well as P. brassicae isolates from around Australia and the world. Sensitivity was determined to be 0.1 fentograms (fg; 10^-15 g) for pure template and as low as 1,000 spores per g of potting mix. In soil, P. brassicae was detected in all soils where the inoculum was sufficient to result in clubroot symptoms. Also outlined is a simple method of DNA extraction from soil.

Purpose: This paper seeks to scope the nature and form of practices, understandings and institutional arrangements that might contribute to the successful “design” and continuity of Communities of Practice (CoP) in a state government department in Australia. The study aims to provide research evidence to support the design and establishment of a CoP based on systems thinking within this department.Design/methodology/approach: A total of 13 semi‐structured interviews were undertaken involving 14 informants. The interviewer also attended one CoP meeting. An emergent approach to research design was adopted with data analysis guided by previous studies on CoPs.Findings: The research revealed the existence of six CoPs that were purposefully created internally by the department. Six “design” and practice considerations were suggested for practitioners aiming to create and sustain successful CoPs.Research limitations/implications: Interview material was the only source of primary data and it was gathered from one organisation only – a state government department in Australia. Findings indicate that the role of the CoP coordinator is still not fully understood.Practical implications: The results from this study can be used in re‐designing a systems thinking CoP to support systems thinking within the department. The study also revealed that purposefully designing CoPs is possible and useful for practitioners aiming to collaborate and share expertise across disciplinary and divisional boundaries.Originality/value: This study provides some guidance for the purposeful design of CoPs, which has been under‐examined in the literature.

Fresh produce is increasingly implicated in food-related illnesses. Escherichia coli can survive in soil and water and can be transferred onto plant surfaces through farm management practices such ...

Land suitability analysis is employed to evaluate the appropriateness of land for a particular purpose whilst integrating both qualitative and quantitative inputs, which can be continuous in nature. However, in agricultural modelling there is often a disregard of this contiguous aspect. Therefore, some parametric procedures for suitability analysis compartmentalise units into defined membership classes. This imposition of crisp boundaries neglects the continuous formations found throughout nature and overlooks differences and inherent uncertainties found in the modelling. This research will compare two approaches to suitability analysis over three differing methods. The primary approach will use an Analytical Hierarchy Process (AHP), while the other approach will use a Fuzzy AHP over two methods; Fitted Fuzzy AHP and Nested Fuzzy AHP. Secondary to this, each method will be assessed into how it behaves in a climate change scenario to understand and highlight the role of uncertainties in model conceptualisation and structure. Outputs and comparisons between each method, in relation to area, proportion of membership classes and spatial representation, showed that fuzzy modelling techniques detailed a more robust and continuous output. In particular the Nested Fuzzy AHP was concluded to be more pertinent, as it incorporated complex modelling techniques, as well as the initial AHP framework. Through this comparison and assessment of model behaviour, an evaluation of each methods predictive capacity and relevance for decision-making purposes in agricultural applications is gained.