A predictive study on the beginning of the pollen season for Gramineae andolea europaea L.

Abstract

SUMMARY. On the basis of the results of seven years (1982)(1983)(1984)(1985)(1986)(1987)(1988)

Improving prophylaxis for pollen allergies: Predicting the time course of the pollen load of the atmosphere of major allergenic plants in France and Spain

“…This was the case here for Poaceae and Plantago for which we determined the date of beginning of pollen shedding instead of peak of pollen shedding. The date of beginning of pollen shedding was determined by the date when the 7-day running mean value exceeded 1% of the annual total for the Hirst data (Frenguelli et al 1989) and by the middle day of the week during which pollen concentration exceeded 1% of the annual total for the Cour data.…”

“…To date, few phenology models for herbaceous species phenology exist (Bringfelt et al 1982, Frenguelli et al 1989, Iglesias et al 1998, Larsson 1993, Pipper et al 1996, Seddigh & Jolliff 1994, Sinclair et al 1991, Subiza et al 1992). Most of them are statistical models, predicting flowering dates or periods of pollen shedding using correlations with climatic variables, such as mean temperature of March and April (Bringfelt et al 1982, Frenguelli et al 1989, Larsson 1993).…”

“…Most of them are statistical models, predicting flowering dates or periods of pollen shedding using correlations with climatic variables, such as mean temperature of March and April (Bringfelt et al 1982, Frenguelli et al 1989, Larsson 1993). Few of them are process-based models like phenological models developed for tree taxa, (Pipper et al 1996, Seddigh & Jolliff 1994, Sinclair et al 1991.…”

“…Two of these latter are based on an experimental background on soybean phenology (Pipper et al 1996, Sinclair et al 1991. We first tried the statistical model of Frenguelli et al (1989) developed for Poaceae. This model is a correlation between dates of peak of pollen shedding or date of beginning of pollen shedding and the mean temperature of March -April.…”

“…The socio-economic importance of allergies due to pollen has induced aerobiologists to look for predictive models of pollen load in the atmosphere (Boyer 1973, Bringfelt 1980, Bringfelt et al 1982, Andersen 1991, Frenguelli et al 1989, 1991Larsson 1993, Pedersen & Moseholm 1993, Spieksma et al 1995, Recio et al 1997, Alba & Guardia 1998, Díaz de la Guardia et al 1998, Iglesias et al 1998, Alba et al 2000, Bica et al 2000, Galá n et al 1998, 2000, 2001García-Mozo et al 2000). Such models are intended to predict the time course and the level of pollen load in the atmosphere for coming weeks.…”