The need for pest and pathogen management will increase as the intensification of food production proceeds to feed the burgeoning human population. Climate is a significant driver of pest population dynamics, so climate change will require adaptive management strategies to cope with the altered status of pests and pathogens. A hierarchy of analytical tools is required to conduct risk assessments, inform policy and design pest management on scales from regions to landscapes and fields. Such tools include models for predicting potential geographical distributions, seasonal phenology, and population dynamics at a range of spatial and temporal scales. The level of sophistication of such models and databases will be determined by the economic importance of specific species. Many obstacles remain in the way of designing reliable adaptation strategies, and several issues that ensure continuing uncertainty are discussed. Holistic approaches that include nonclimatic drivers of change are needed to address the combination of global change variables. Changed patterns of crop production will determine the pests and pathogens that require greater effort to control. Linked crop-pest models offer the best opportunities for management of important pests and pathogens. Examples of risk assessments for pests and pathogens are illustrated mostly with cases from Australia, and guidelines for adaptation of pest and pathogen management are reviewed. The plethora of species and strains of pests and pathogens demands a parsimonious approach to risk assessment and adaptation, based on identified needs to inform management. Due to some intractable issues the best approach may often be scenario planning to design systems which will be resilient under any global change. 

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Current atmospheric CO 2 levels are about 400 lmol mol À1 and are predicted to rise to 650 lmol mol À1 later this century. Although the positive and negative impacts of CO 2 on plants are well documented, little is known about interactions with pests and diseases. If disease severity increases under future environmental conditions, then it becomes imperative to understand the impacts of pathogens on crop production in order to minimize crop losses and maximize food production. Barley yellow dwarf virus (BYDV) adversely affects the yield and quality of economically important crops including wheat, barley and oats. It is transmitted by numerous aphid species and causes a serious disease of cereal crops worldwide. This study examined the effects of ambient (aCO 2 ; 400 lmol mol À1 ) and elevated CO 2 (eCO 2 ; 650 lmol mol À1 ) on noninfected and BYDV-infected wheat. Using a RT-qPCR technique, we measured virus titre from aCO 2 and eCO 2 treatments. BYDV titre increased significantly by 36.8% in leaves of wheat grown under eCO 2 conditions compared to aCO 2 . Plant growth parameters including height, tiller number, leaf area and biomass were generally higher in plants exposed to higher CO 2 levels but increased growth did not explain the increase in BYDV titre in these plants. High virus titre in plants has been shown to have a significant negative effect on plant yield and causes earlier and more pronounced symptom expression increasing the probability of virus spread by insects. The combination of these factors could negatively impact food production in Australia and worldwide under future climate conditions. This is the first quantitative evidence that BYDV titre increases in plants grown under elevated CO 2 levels.

The distribution and persistence of phytoplasmas were determined in Australian grapevines. Phytoplasmas could be detected using the polymerase chain reaction (PCR) from shoots, cordons, trunks and roots throughout the year, and phytoplasmas appear to persistently infect Australian grapevines from year to year. Phytoplasmas were not always detected in samples from the same sampling area from one sampling period to the next. Phytoplasma detection by PCR was improved by sampling from shoots, cordons and trunks, especially during October (early spring). The diseases expressed by the 20 grapevines used in the distribution and persistence studies were monitored. Australian grapevine yellows disease (AGY) was expressed by 17/20 grapevines at some time during the study, whilst only 4/20 and 15/20 grapevines expressed restricted growth disease (RG) and late season leaf curl disease (LSLC), respectively. All grapevines with RG and LSLC also had AGY. The three diseases were persistently expressed in some grapevines and remission of disease was observed in others. The results of PCR detection in the same grapevines indicated that phytoplasmas were more frequently detected in AGY-affected grapevines that also expressed RG and LSLC compared with grapevines expressing AGY alone. Phytoplasmas were detected in symptomless plant material but less frequently compared with AGY-affected material.

Producers worldwide need access to the best plant varieties and cultivars available to be competitive in global markets. This often means moving plants across international borders as soon as they are available. At the same time, quarantine agencies are tasked with minimizing the risk of introducing exotic pests and pathogens along with imported plant material, with the goal to protect domestic agriculture and native fauna and flora. These two drivers, the movement of more plant material and reduced risk of pathogen introduction, are at odds. Improvements in large-scale or next-generation sequencing (NGS) and bioinformatics for data analysis have resulted in improved speed and accuracy of pathogen detection that could facilitate plant trade with reduced risk of pathogen movement. There are concerns to be addressed before NGS can replace existing tools used for pathogen detection in plant quarantine and certification programs. Here, we discuss the advantages and possible pitfalls of this technology for meeting the needs of plant quarantine and certification.

We report on the use of protic ionic liquids, pILs, as solvents for the solubilisation and stabilization of viruses. We show that the shelf life of the pIL stabilized tobacco mosaic virus is significantly enhanced when compared to traditional phosphate buffer. This has new opportunities for the preparation, characterization and storage of viruses and virus based technologies.

Potato is an important food crop due to its increasing consumption, and as a result, there is demand for varieties with improved production. However, the current status of breeding for improved varieties is a long process which relies heavily on phenotypic evaluation and dated molecular techniques and has little emphasis on modern genotyping approaches. Evaluation and selection before a cultivar is commercialized typically takes 10–15 years. Molecular markers have been developed for disease and pest resistance, resulting in initial marker-assisted selection in breeding. This study has evaluated and implemented a high-throughput transcriptome sequencing method for dense marker discovery in potato for the application of genomic selection. An Australian relevant collection of commercial cultivars was selected, and identification and distribution of high quality SNPs were examined using standard bioinformatic pipelines and a custom approach for the prediction of allelic dosage. As a result, a large number of SNP markers were identified and filtered to generate a high-quality subset that was then combined with historic phenotypic data to assess the approach for genomic selection. Genomic selection potential was predicted for highly heritable traits and the approach demonstrated advantages over the previously used technologies in terms of markers identified as well as costs incurred. The high-quality SNP list also provided acceptable genome coverage which demonstrates its applicability for much larger future studies. This SNP list was also annotated to provide an indication of function and will serve as a resource for the community in future studies. Genome wide marker tools will provide significant benefits for potato breeding efforts and the application of genomic selection will greatly enhance genetic progress.

Grapevine viruses are found throughout the viticultural world and have detrimental effects on vine productivity and grape and wine quality. This report provides a comprehensive and up-to-date review on grapevine viruses in Australia with a focus on “Shiraz Disease” (SD) and its two major associated viruses, grapevine virus A (GVA) and grapevine leafroll-associated virus 3 (GLRaV-3). Sensitive grapevine cultivars like Shiraz infected with GVA alone or with a co-infection of a leafroll virus, primarily GLRaV-3, show symptoms of SD leading to significant yield and quality reductions in Australia and in South Africa. Symptom descriptors for SD will be outlined and a phylogenetic tree will be presented indicating the SD-associated isolates of GVA in both countries belong to the same clade. Virus transmission, which occurs through infected propagation material, grafting, and naturally vectored by mealybugs and scale insects, will be discussed. Laboratory and field-based indexing will also be discussed along with management strategies including rogueing and replanting certified stock that decrease the incidence and spread of SD. Finally, we present several cases of SD incidence in South Australian vineyards and their effects on vine productivity. We conclude by offering strategies for virus detection and management that can be adopted by viticulturists. Novel technologies such as high throughput sequencing and remote sensing for virus detection will be outlined.