Plant dormancy has a major impact on the cultivation of plants, influencing such processes as seed germination, flowering, and vegetative growth. The diversity of plant tissues that exhibit, or contribute to the manifestation of, dormancy is great, and there appear to be numerous mechanisms of dormancy induction or release. This complexity was discussed by Romberger (55) nearly 25 years ago. Yet his analysis of the unresolved challenges in dormancy research is still valid today, for the overall understanding of dormancy is limited. This lack of understanding may be due, in part, to the abundance of terminology that has arisen without a nomenclatural framework in which to classify and relate the events being described.
Natural enemies have long been used in biological control programs to mitigate the damage caused by herbivory. Many herbivorous insect species also act as plant virus vectors, enabling virus transmission from plant to plant and hence disease development in a plant population. Whilst an intuitive assumption would be to expect a decrease in vector numbers to lead to subsequent reductions in virus transmission, recent evidence suggests that introduction of natural enemies (parasitoids and predators) may in some cases increase plant virus transmission while at the same time reducing vector numbers. In this paper we review the evidence for plant-virusvector-natural enemy interactions, the signalling mechanisms involved and their implications for virus transmission, and show how a modelling approach can assist in identifying the key parameters and relationships involved in determining the disease outcome. A mathematical model linking the population dynamics of a vector-parasitoid system with virus transmission was used to investigate the effects of virus inoculation and acquisition rates, parasitoid attack rate and vector aggregation on disease dynamics across a wide range of parameter value combinations. Virus spread was found to increase with enhanced inoculation, acquisition and parasitoid attack rate but decrease with high levels of vector aggregation.
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