Air Spora of an Agricultural Farm in Madras, India

Vittal, B. P. R.; Krishnamoorthi, K. P.

doi:10.1080/00173138109436738

Cited by 18 publications

(13 citation statements)

References 17 publications

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“…The predominance of conidia or "dry spores", produced by 24 out of 33 airborne fungal genera recorded in the study, was consistent with previous reports (Adhikari et al 2004;Chakraborty et al 2001;Segvić Klarić and Pepeljnjak 2006). The composition and species variability of airborne fungi observed in the study corroborated with earlier reports in India (Adhikari et al 2004;Vittal and Krishnamoorthy 1981) and other countries (Al-Suwaine et al 1999;Kasprzyk et al 2004;Pyrri and Kapsanaki-Gotsi 2007). In this study, Cladosporium spp.…”

Section: Resultssupporting

confidence: 95%

“…The rest did not exhibit any distinct seasonal oscillation pattern. The seasonal fluctuation trends of spores except for Cercospora, Coprinus, Pithomyces, Torula, Tetraploa, Trichoconis, and Sporidesmium observed in the study were in agreement with earlier survey reports from a similar outdoor environment (Vittal and Krishnamoorthy 1981;Chakraborty et al 2003). The deviation in the seasonal oscillation trend could be attributed to the variation in local environmental variables, edaphic factors, and availability of fungal growth substrates as well as changes in vegetation surrounding the sampling site due to anthropogenic activities such as crop cultivation and harvest as evidenced earlier by Atluri et al (1988a).…”

Section: Resultssupporting

confidence: 94%

“…was recorded as the most prevalent airborne fungal genus. Similar aerobiological monitoring in rice crop fields in West Bengal (Chakraborty et al 2001) and in other parts of India (Sreeramulu and Ramalingam 1966;Vittal and Krishnamoorthy 1981) also reported Cladosporium as the most dominant airborne fungus. Cladosporium, being a saprophyte, thrives on decaying organic materials.…”

Section: Resultsmentioning

confidence: 76%

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Monitoring and assessment of airborne fungi in Kolkata, India, by viable and non-viable air sampling methods

Das

Gupta‐Bhattacharya

2011

Environ Monit Assess

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The composition and variability of airborne fungal spores were studied using two complementary sampling methods in an outdoor environment in Kolkata suburb for 2 years, from November 2002 to October 2004. For monitoring the total fungal spore burden in the air, Burkard 7-day volumetric sampler was used, whereas Andersen two-sage viable sampler was used for isolating the cultivable airborne fungi. Among the 37 fungal spore types identified in the air samples, the predominant ones were Cladosporium, unidentified ascospores, unidentified basidiospores, Aspergilli/Penicilli, Nigrospora, Periconia, Chaetomium, Drechslera, Alternaria, Coprinus, Ganoderma, Pithomyces, and rust spores. Only six fungal spore types (Alternaria, Aspergilli/Penicilli, Cladosporium, Curvularia, Drechslera, and Nigrospora) were recovered in common by the two samplers. For Aspergilli/Penicilli, Drechslera, and Nigrospora, the spore concentration was underestimated in the non-viable sampling method (Burkard sampler). In general, higher spore count was recorded in winter. The highest fungal species variability was observed in early monsoon (June). Relative humidity could significantly predict the seasonal periodicity of the maximum number of airborne spores. The total airborne fungi concentration recorded in the study (15-16 × 10(3) spores m(-3) of air) was lower than the proposed threshold limit value for clinical significance, suggesting apparently no or less airborne-fungi-exposure-related health risk in the sampling area. Cladosporium cladosporioides was recorded beyond the proposed threshold limit value in January 2003 and March 2004; Aspergillus fumigatus and Aspergillus nidulans in winter that might have posed considerable health risk to sensitized individuals.

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Section: Resultssupporting

confidence: 95%

Section: Resultssupporting

confidence: 94%

Section: Resultsmentioning

confidence: 76%

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Monitoring and assessment of airborne fungi in Kolkata, India, by viable and non-viable air sampling methods

Das

Gupta‐Bhattacharya

2011

Environ Monit Assess

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“…In recent years, many studies have been carried out to examine the presence and dispersion of pathogenic fungal spores in crops (Burt et al 1998; Davis and Main 1986;Rajasab and Chawda 1995;Uddin and Chakraverty 1996;Vittal and Krishnamoorthi 1981). Many authors have developed epidemiological models, in order to predict when the disease will occur and to improve the use of control measures (Bruhn and Fry 1981;Bugiani et al 1996;Díaz et al 1998;Fry 1998;Gudmestad 2003;Johnson et al 1998;Shtienberg et al 1989;Wiik 2002).…”

Section: Introductionmentioning

confidence: 97%

Effects of meteorological factors on the levels of Alternaria spores on a potato crop

et al. 2010

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Alternaria solani Soraeur produces early blight in Solanum tuberosum L., leading to significant agricultural losses. The current study was carried out on the extensive potato crop situated in north-western of Spain during 2007, 2008 and 2009. In this area potato crops are the most important source of income. In this work we used a Hirst-type volumetric spore-trap for the aerobiological monitoring of Alternaria spores. The highest spore concentrations were recorded during the 2009 cycle (10,555 spores), and the lowest concentrations were recorded during the 2008 cycle (5,471 spores). Over the 3 years of study, the highest concentrations were registered during the last stage of the crop. The aim of the study was to observe the influence of meteorological factors on the concentration of Alternaria spores, which can lead to serious infection and early blight. Prediction of the stages during which a crop is particularly vulnerable to infection allows for adjustment of the application of fungicide and is of environmental and agricultural importance. For this reason, we tested three models (P-Days, DD and IWP) to predict the first treatment and decrease the negative effect that these spores have on potato crops. The parameter that showed the most significant correlation with spore concentrations was minimum temperature. We used ARIMA (autoregressive integrated model of running mean) time-series models to determine the forecast. We considered weather data as predictor variables and the concentration of spores on the previous day as the fixed variable.

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“…Volumetric survey of air spora was first conducted in India by Sreeramulu & Seshavataram (1962) from Vishakhapatnam, India. This study was followed by the survey of Sreeramulu & Ramalingam (1964, 1966 from the same place, Ramalingam (1971) and Shenoi & Ramalingam (1975) at Mysore, Vittal & Krishnamoorthy (1981) at Madras. The main objective of this study was to conduct a long-term volumetric survey of seasonal and diurnal periodicities of air spora in an agricultural farm in the suburban zone of the Calcutta (Kolkata) Metropolitan area (Fig.…”

mentioning

confidence: 99%

Aeromycoflora of an agricultural farm in West Bengal, India: A five-year study (1994–1999)

Chakraborty

Gupta‐Bhattacharya

Chanda

2003

Grana

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Air Spora of an Agricultural Farm in Madras, India

Cited by 18 publications

References 17 publications

Monitoring and assessment of airborne fungi in Kolkata, India, by viable and non-viable air sampling methods

Monitoring and assessment of airborne fungi in Kolkata, India, by viable and non-viable air sampling methods

Effects of meteorological factors on the levels of Alternaria spores on a potato crop

Aeromycoflora of an agricultural farm in West Bengal, India: A five-year study (1994–1999)

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