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Wyszukujesz frazę "Abreu, I." wg kryterium: Autor


Wyświetlanie 1-3 z 3
Tytuł:
Definition of main pollen season using logistic model
Autorzy:
Ribeiro, H
Cunha, M.
Abreu, I.
Powiązania:
https://bibliotekanauki.pl/articles/50716.pdf
Data publikacji:
2007
Wydawca:
Instytut Medycyny Wsi
Tematy:
Portugal
statistical analysis
pollen concentration
pollen season
airborne pollen
logistic regression
Porto Region
pollen emission model
main pollen season
Opis:
This paper proposes a method to unify the defi nition of the main pollen season based on statistical analysis. For this, an aerobiological study was carried out in Porto region (Portugal), from 2003-2005 using a 7-day Hirst-type volumetric spore trap. To defi ne the main pollen season, a non-linear logistic regression model was fi tted to the values of the accumulated sum of the daily airborne pollen concentration from several allergological species. An important feature of this method is that the main pollen season will be characterized by the model parameters calculated. These parameters are identifi able aspects of the fl owering phenology, and determine not only the beginning and end of the main pollen season, but are also infl uenced by the meteorological conditions. The results obtained with the proposed methodology were also compared with two of the most used percentage methods. The logistic model fi tted well with the sum of accumulated pollen. The explained variance was always higher than 97%, and the exponential part of the predicted curve was well adjusted to the time when higher atmospheric pollen concentration was sampled. The comparison between the different methods tested showed large divergence in the duration and end dates of the main pollen season of the studied species.
Źródło:
Annals of Agricultural and Environmental Medicine; 2007, 14, 2
1232-1966
Pojawia się w:
Annals of Agricultural and Environmental Medicine
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Important phytopathogenic airborne fungal spores in a rural area: incidence of Botrytis cinerea and Oidium spp.
Autorzy:
Oliveira, M
Guerner-Moreira, J.
Mesquita, M.M.
Abreu, I.
Powiązania:
https://bibliotekanauki.pl/articles/49320.pdf
Data publikacji:
2009
Wydawca:
Instytut Medycyny Wsi
Tematy:
airborne fungi
fungi
airborne spore
grey mould
phytopathology
powdery mildew
rural area
Botrytis cinerea
Oidium
Vitis vinifera
Źródło:
Annals of Agricultural and Environmental Medicine; 2009, 16, 2; 197-204
1232-1966
Pojawia się w:
Annals of Agricultural and Environmental Medicine
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Forecasting ARIMA models for atmospheric vineyard pathogens in Galicia and Northern Portugal: Botrytis cinerea spores
Autorzy:
Fernandez-Gonzalez, M.
Rodriguez-Rajo, F.J.
Jato, V.
Aira, M.J.
Ribeiro, H.
Oliveira, M.
Abreu, I.
Powiązania:
https://bibliotekanauki.pl/articles/49793.pdf
Data publikacji:
2012
Wydawca:
Instytut Medycyny Wsi
Opis:
Botrytis cinerea is the cause of the most common disease in the Galician and Portuguese vineyards. Knowledge of the spore levels in the atmosphere of vineyards is a tool for forecasting models of the concentration of spores in order to adjust the phytosanitary treatments to real risk infection periods. The presented study was conducted in two vineyards, one located in Cenlle (Spain) and other in Amares (Portugal), from 2005-2007. A volumetric trap, model Lanzoni VPPS-2000, was used for the aerobiological study. Phenological observations were conducted on 20 vines of three grape varieties in Cenlle (Treixadura, Godello and Loureira) and in Amares (Trajadura, Loureiro and Pedernã), by using the BBCH scale. The highest total spore concentrations during the grapevine cycle were recorded in 2007 in both locations (Cenlle:16,145 spores; Amares:1,858 spores), and the lowest, in 2005 in Cenlle (1,700 spores) and in Amares (800 spores) in 2006. In Cenlle, the best adjusted model was an ARIMA (0,2,2), including the relative humidity four days earlier, while in Amares there was an ARIMA (1,2,3), considering the relative humidity three days earlier and rainfall two days earlier. The t-test showed no significant difference between observed and predicted data by the model.
Źródło:
Annals of Agricultural and Environmental Medicine; 2012, 19, 2
1232-1966
Pojawia się w:
Annals of Agricultural and Environmental Medicine
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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