A - Papers appearing in refereed journals
Werker, A. R., Dewar, A. M. and Harrington, R. 1998. Modelling the incidence of virus yellows in sugar beet in the UK in relation to numbers of migrating Myzus persicae. Journal of Applied Ecology. 35 (5), pp. 811-818.
|Authors||Werker, A. R., Dewar, A. M. and Harrington, R.|
1, The incidence of virus yellows diseases in sugar beet crops in eastern England during 1965-96 was analysed in relation to numbers of migrating Myzus persicae, the principal vector. 2, A non-linear model was fitted to the data incorporating dual routes of infection: primary infection. arising from winged immigrant aphids carrying the virus, and secondary infection, arising from local dispersion of their wingless offspring transferring the virus from infected to uninfected plants. 3. The model was fitted to the data assuming that (i) the epidemic commenced when the first migrating aphid was recorded, (ii) the rate of primary infection was dependent on the total number of aphids migrating up to the end of June, and (iii) the rate of secondary infection was dependent on the proportion of diseased plants in the crop. 4, A good description of virus yellows incidence in August depended on allowing the rate parameters for primary and secondary infection to decrease sigmoidally over the years during 1965-96. The shape of this function depicted a major change in the epidemiology of virus yellows since 1974-76. Amongst several contributory factors, this change coincided with the introduction and subsequent wide use of systemic granular pesticides. 5, Good fits also depended on allowing the rates of disease progress to decay with time to accommodate effects of increasing host resistance with plant age to feeding aphids. This meant that early epidemics rose faster than late epidemics, which is consistent with general observations. 6, Given that the changes in the epidemiology of virus yellows over the years are associated with improvements in pest management practices, the model presents a useful extension to disease forecasting by providing predictions of disease risk in the absence of pesticides. Such predictions indicate that during the last decade up to five severe epidemics would have been likely.
|Keywords||biodiversity conservation; Ecology|
|Year of Publication||1998|
|Journal||Journal of Applied Ecology|
|Journal citation||35 (5), pp. 811-818|
|Digital Object Identifier (DOI)||doi:10.1046/j.1365-2664.1998.355340.x|
|Open access||Published as non-open access|
|Funder project or code||217|
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