1975
DOI: 10.1111/j.1744-7348.1975.tb00534.x
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The use of weather data and counts of aphids in the field to predict the incidence of yellowing viruses of sugar‐beet crops in England in relation to the use of insecticides

Abstract: SUMMARYPartial regression equations were calculated that relate the mean percentage of plants infected with yellowing viruses (beet yellows and beet mild yellowing viruses) in sugar‐beet crops at the end of August to the number of days during January, February and March when temperatures fell below – 0.3 °C (31‐5 °F) and the mean temperatures in April, for the 21 yr, 1951–71, using weather records from Rothamsted Experimental Station. Regression analyses were also made to find the effect of other factors inclu… Show more

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Cited by 66 publications
(21 citation statements)
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“…Analysis of vector numbers and activity in relation to weather variables led to practical forecasting schemes being developed for some viral diseases, e.g. beet yellows (Watson & Healy, 1953; Watson et al ., 1975) and barley yellow dwarf virus (A'Brook, 1983). Multivariate methods were used to associate disease incidence of non‐persistent viruses with the range of aphid vector species trapped (Madden et al ., 1983).…”
Section: Quantitative Approaches In Plant Virus Epidemiologymentioning
confidence: 99%
“…Analysis of vector numbers and activity in relation to weather variables led to practical forecasting schemes being developed for some viral diseases, e.g. beet yellows (Watson & Healy, 1953; Watson et al ., 1975) and barley yellow dwarf virus (A'Brook, 1983). Multivariate methods were used to associate disease incidence of non‐persistent viruses with the range of aphid vector species trapped (Madden et al ., 1983).…”
Section: Quantitative Approaches In Plant Virus Epidemiologymentioning
confidence: 99%
“…In the early years, simple relationships were developed between temperatures in winter and early spring and virus yellows incidence at the end of August 21. Subsequently, Watson et al 22 established the first forecast model for predicting virus yellows incidence. This model used the number of frost days (ie when the minimum temperature over grass fell below −0.3 °C) and the mean April temperature at Rothamsted Experimental Station (now Rothamsted Research) in Hertfordshire.…”
Section: Modelling and Forecasting Virus Yellows Of Sugar Beetmentioning
confidence: 99%
“…They do overwinter anholocyclically in clamps, however, which are the principal sources of infestation (ENGSBRO 1970;HEIE 1959). Overwintering in clamps is of major importance for how widespread the first attacks will be in the beet fields in spring (BALE et al 1988;WATSON et al 1975). This overwintering depends primarily on the temperature during the winter months (BROADBENT et al 1949).…”
Section: Introductionmentioning
confidence: 99%
“…This overwintering depends primarily on the temperature during the winter months (BROADBENT et al 1949). The spring temperature is one of the most essential factors affecting severity of attacks in late spring and early summer (WATSON et al 1975). This paper attempts to clarify the relationship between peach-potato abundance in beet fields with winter and spring temperatures.…”
Section: Introductionmentioning
confidence: 99%