Dispersal of the conidia of<i>Colletotrichum gloeosporioides</i>by rain and the development of anthracnose on onion

Rajasab, A. H.; Chawda, H. T.

doi:10.1080/00173139409428994

Cited by 19 publications

(12 citation statements)

References 7 publications

(5 reference statements)

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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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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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“…In recent years, many studies have been carried out with the aim of identifying both the presence and the dispersion of pathogenic fungal spores in crops (Vittal and Krishnamoorthi 1981;Davies and Main 1986;Rajasab and Chawda 1995;Uddin and Chakraverty 1996;Burt et al 1998;Albelda 2008) and many authors have developed epidemiological models in order to explain and predict when the disease starts with the aim of determining the appropriate timing for initiation of control measures. (Bruhn and Fry 1981;Shtienberg et al 1989;Wiik 2002;Bugiani et al 1996;Fry 1998;Díaz et al 1998;Johnson et al 1998;Gudmestad 2003).…”

Section: Introductionmentioning

confidence: 99%

Phytophthora infestans Prediction for a Potato Crop

et al. 2009

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The present work studies the seasonal variation of Phytophthora infestans concentrations in the atmosphere of a potato crop grown in A Limia. Different models have also been tested to predict the attack of this pathogen in order to establish the necessary treatments. Sampling has been carried out during crop cycles in 2004, 2005 and 2007 by using a volumetric spore trap, located in the centre of the plot at a height of 1.5 m. The collection of meteorological data was done with an automatic gauge. The highest concentrations of Phytophthora infestans were registered during June and July, with maximum daily levels ranging from 82 to 145 spores/m 3 , as a result of the maximum temperature average, around 16-23°C. Three prediction models for Phytophthora infestans have been adjusted to our area of study. The Smith Periods model provides better results in years with low and medium levels of the oomycete inoculum. The NegFRY model is useful to adjust the day of first treatment application, when used together with the Negative Prognosis model. To observe the influence of meteorological parameters on Phytophthora infestans spore concentration, besides applying these models, a Spearman correlation analysis was carried out. This test allowed the establishment of a correlation between the temperature parameter and the oomycete, obtaining positive and significant correlations (p<0.01).Resumen El presente trabajo estudia la variación temporal de las concentraciones de Phytophthora infestans en la atmósfera de un cultivo de patata en A Limia. Se han probado también diferentes modelos para predecir el ataque de este patógeno a fin de establecer los tratamientos necesarios. Se tomaron muestras durante los ciclos de cultivo en 2004, 2005, y 2007 mediante el uso de un captador volumétrico de esporas, ubicada en el centro la finca a una altura de 1.5 metros. Los datos meteorológicos se tomaron con una estación automática. Se registraron las concentraciones más altas de Phytophthora infestans durante junio y julio, con niveles diarios máximos fluctuando de 82 a 145 esporas/m 3 , como resultado del promedio máximo de temperatura, alrededor de 16-23°C. Se ajustaron tres modelos predictivos para Phytophthora infestans en nuestra área de estudio. El modelo de períodos Smith da mejores resultados en años con niveles bajos y medios de inóculo del oomycete. El modelo NegFRY es útil para ajustar el día de la aplicación del primer tratamiento, cuando se usa junto con el modelo de Prognosis Negativa. Además de aplicar estos modelos, se efectuó un análisis de correlación de Spearman, para observar la influencia de los parámetros meteorológicos en la concentración de esporas de Phytophthora infestans. Esta prueba permitió el establecimiento de una correlación entre la temperatura y el oomycete, obteniéndose correlaciones positivas y significativas (p<0.01).

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“…So preliminary detection of phytochemicals in qualitative and quantitative traits should be analysed. The phytochemical investigation is related to the traditional knowledge of which plant part is used in crude drug administration [2]. Chemicals also hold the key to many taxonomical questions that arise in identification of species in the future [3].…”

Section: Introductionmentioning

confidence: 99%

Preliminary phytochemical analysis of leaf of Garcinia gummigutta from Western Ghats

B¹,

Bopaiah²

2012

IOSJPBS

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Preliminary phytochemical analysis of the secondary metabolites in the leaf of Garcinia gummi-gutta collected from various regions of Western Ghats was carried out. The location of these plants was tagged with the longitude and latitude co-ordinates on Google maps using i-touchmaps software on androidphone. G.gummi-gutta plants having broad leaves and narrow leaves were collected from Western Ghat regions of Kodagu, Dakshina Kannada, Uttara Kannada and parts of Kerala. Data on the Ethnobotanical properties of G.gummi-gutta were collected from indigenous people and households practicing medicines for animals and humans in these regions. The presumptive compound bringing out the action in other plants is also reported to understand the correlation. The fluorescent characteristic features of leaf of G.gummigutta in various extracts were conducted under UV light at 366nm. The leaf extracts of both broad and narrow types were prepared with distilled water, methanol, ethanol, acetone, chloroform, di-ethylether, petroleum ether and hexane. Qualitative analysis of phytochemicals in these extract were analysed. The investigation revealed that the leaf of G.gummigutta does contain medicinally active phytochemicals. The preliminary qualitative chemical tests showed that leaves collected from Western Ghats regions of Kodagu and Kerala have high content of alkaloids, tannins, phenolic flavonoids, flavonoids, carbohydrates and proteins. This justifies that environmental features do have variation in phytochemical content accumulation in plants. Steroids, terpenoids, phlobatannin and Cardiac glycosides were found in small quantities. Saponins, anthraquinones and anthocyanides were absent. This study provides a location key and scientific detail to investigate the phytochemicals in the leaf of G.gummi-gutta. The type of extraction solvents used in the investigation will help researchers decide on solvent compositions for further work on the above mentioned phytochemicals. The study also justifies the need for further research work on the leaf of Garcinia gummi-gutta.

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Dispersal of the conidia ofColletotrichum gloeosporioidesby rain and the development of anthracnose on onion

Cited by 19 publications

References 7 publications

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

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

Phytophthora infestans Prediction for a Potato Crop

Preliminary phytochemical analysis of leaf of Garcinia gummigutta from Western Ghats

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