Aerial dissemination of urediniospores of groundnut rust

Mallaiah, K. V.; Rao, A. S.

doi:10.1016/s0007-1536(82)80072-7

Cited by 18 publications

(12 citation statements)

References 15 publications

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“…Lyon et al (1984) found negative correlation between the wind speed and spore concentrations (multiple regression analysis) and Kurkela (1997), using Pearson correlation, noted positive, significant relationship. The long distance dispersal of spores depends on the wind conditions, but wind also plays an important role in the detachment of spores being dispersed in dry conditions (Mallaiah & Rao, 1982). According to Dutzmann (1985), Cladosporium spore release by wind occurs in connection with the decrease of relative humidity during the morning hours.…”

Section: Discussionmentioning

confidence: 99%

Artificial neural network models of relationships betweenCladosporiumspores and meteorological factors in Szczecin (Poland)

Grinn‐Gofroń

Strzelczak

2008

Grana

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Moulds are common aeroallergens and Cladosporium is considered to be one of the more prevalent examples of these. Aiming to reduce the risk for allergic individuals, we constructed predictive models for the fungal spore circulation in Szczecin, Poland. Monthly forecasting models were developed for the airborne spore concentrations of Cladosporium, the most abundant fungal taxa in the area. Aerobiological sampling was conducted over 2004-2007, using a Lanzoni trap. Simultaneously, the following meteorological parameters were recorded: daily level of precipitation, maximum and average wind speed, relative humidity, maximum, minimum, average and dew point temperature. The original factors, as well as with lags (up to 3 days), were used as the explaining variables. Due to non-linearity and non-normality of the data set, Cladosporium spore concentrations were predicted using artificial neural networks (ANN). The final model included classification (spore presence or absence) and regression for spore seasons with log(x+1) transformed Cladosporium spore concentration. All variables, except average wind speed 3 days previously and precipitation (on the same day and with lags) were factors important in classification. In the regression model for spore seasons, close relationships were noted between Cladosporium spore concentration and dew point temperature the previous day, humidity, and minimum and maximum temperatures. Additionally, time series prediction was performed. Our study shows that ANN models are applicable to forecasting Cladosporium spore concentration with high accuracy.

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Section: Discussionmentioning

confidence: 99%

Artificial neural network models of relationships betweenCladosporiumspores and meteorological factors in Szczecin (Poland)

Grinn‐Gofroń

Strzelczak

2008

Grana

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“…Previously, there have been verified the occurrence of more fungal spores in the air in the low part of the canopy, which is close to plant leaves (i.e., the important release source of fungal spores), compared with the number of spores in the air of the high part of the canopy [20,59]. Several reports from crop systems have also verified this trend [27][28][29]. We did not found a higher fungal diversity and abundance in low part than high part of the canopy S2 Table).…”

Section: Discussionmentioning

confidence: 81%

“…Pathogens in the canopy air can infect plants under optimal microclimate conditions and in turn, release their spores into the air to complete their life cycle; meanwhile, the host can change the canopy microclimate to affect pathogen spread and disease development [26]. Some studies for the monoculture crop also have shown that numbers of conidia collected decreased with increasing height within and above the crop canopy [27][28][29]. Similarly, for the monoculture invasive plant, its canopy air would harbor diverse fungal spores released from leaf spots, which in turn, may infect host itself as well as neighboring species.…”

Section: Introductionmentioning

confidence: 99%

Characterization of the fungal community in the canopy air of the invasive plant Ageratina adenophora and its potential to cause plant diseases

et al. 2020

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Airborne fungi and their ecological functions have been largely ignored in plant invasions. In this study, high-throughput sequencing technology was used to characterize the airborne fungi in the canopy air of the invasive weed Ageratina adenophora. Then, representative phytopathogenic strains were isolated from A. adenophora leaf spots and their virulence to A.adenophora as well as common native plants in the invaded range was tested. The fungal alpha diversities were not different between the sampling sites or between the high/low part of the canopy air, but fungal co-occurrences were less common in the high than in the low part of the canopy air. Interestingly, we found that the phytopathogenic Didymellaceae fungi co-occurred more frequently with themselves than with other fungi. Disease experiments indicated that all 5 Didymellaceae strains could infect A. adenophora as well as the 16 tested native plants and that there was large variation in the virulence and host range. Our data suggested that the diverse pathogens in the canopy air might be a disease infection source that weakens the competition of invasive weeds, a novel phenomenon that remains to be explored in other invasive plants.

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“…Lin & Li (2000) afirmaron que la influencia de la velocidad del viento como factor de dilución o sobrevivencia de los bioaerosoles ha sido largamente demostrada en modelos de dispersión y estudios ambientales. Mallaiah & Rao (1982) mencionan que el viento es el responsable del desprendimiento y de la dispersión de las esporas en la atmósfera, cualquier movimiento del aire puede liberar algunas esporas, pero cuando la velocidad del viento excede 0.5 m/s el número de esporas liberadas se incrementa rápidamente y este efecto puede continuar hasta una velocidad del viento de 3 -5 m/s.…”

Section: Discussionunclassified

Efectos De Algunos Factores Meteorológicos Sobre La Concentración De Esporas De Hongos en La Plaza San Martín De Lima

Ramos

Meza

2017

Ecol. apl.

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ResumenSe realizó un estudio aeromicológico para determinar la influencia de algunos factores meteorológicos en la concentración de esporas fúngicas totales en la atmósfera de la Plaza San Martín de Lima. El muestreo se realizó utilizando el método volumétrico por impactación empleando un muestreador tipo Andersen con agar Sabouraud. Las concentraciones más altas de esporas se observaron en los meses de marzo y setiembre mientras que los niveles más bajos fueron detectados en los meses de julio y agosto. Los hongos predominantes que estuvieron presentes en todo el periodo de estudio fueron Cladosporium, Penicillium y Aspergillus, estos géneros abarcaron el 82% del total de esporas aisladas. La concentración de esporas totales mostró una correlación estadística significativa (p<0.05) positiva con la temperatura e índice UV; la humedad relativa presentó una correlación estadística significativa (p<0.05) negativa. La velocidad del viento presentó una correlación estadística positiva con un nivel de significancia de p<0.01. Las fluctuaciones de las condiciones meteorológicas muestran una marcada influencia en la distribución de las esporas. Palabras clave: aeromicología, bioaerosol, esporas, alergia, variables climáticas. AbstractAn aeromicological study was carried out to establish the influence of meteorological factors on the concentration of total fungal spores in the atmosphere of the Plaza San Martín, Lima, Perú. Sampling was carried out using the volumetric impaction method using an Andersen sampler with Sabouraud agar. The highest concentrations of spores was observed in the months of March and September while the lowest levels were detected in the months of July and August. The predominant fungi that were present throughout the study period were Cladosporium, Penicillium and Aspergillus. These genera comprised 82% of the total isolated spores. The total spore concentration showed a significant statistical correlation (p <0.05) with temperature and UV index while relative humidity presented a negative significant statistical correlation (p <0.05). Wind speed presented a positive statistical correlation with a level of significance of p <0.01. Fluctuations of meteorological conditions showed a marked influence on the distribution of the spores.

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Aerial dissemination of urediniospores of groundnut rust

Cited by 18 publications

References 15 publications

Artificial neural network models of relationships betweenCladosporiumspores and meteorological factors in Szczecin (Poland)

Artificial neural network models of relationships betweenCladosporiumspores and meteorological factors in Szczecin (Poland)

Characterization of the fungal community in the canopy air of the invasive plant Ageratina adenophora and its potential to cause plant diseases

Efectos De Algunos Factores Meteorológicos Sobre La Concentración De Esporas De Hongos en La Plaza San Martín De Lima

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