Effects of relative humidity on infection, colonization and conidiation of<i><scp>M</scp>agnaporthe orzyae</i>on perennial ryegrass

Li, Y.; Uddin, W.; Kaminski, John E.

doi:10.1111/ppa.12127

Cited by 26 publications

(22 citation statements)

References 43 publications

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“…Varying conditions such as humidity, leaf surface moisture and temperature can also effect the colonization and growth of bacteria and fungi on leaf surfaces. There is a positive correlation between fungal sporulation and the duration of leaf surface moisture (Talley et al, 2002;Li et al, 2014). Poor air circulation can cause persistent droplets of moisture on the surface of a leaf due to transpiration producing a micro environment favorable for microbial proliferation.…”

Section: Discussionmentioning

confidence: 99%

Microbiological and Nutritional Analysis of Lettuce Crops Grown on the International Space Station

Khodadad¹,

Hummerick²,

Spencer³

et al. 2020

Front. Plant Sci.

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Section: Discussionmentioning

confidence: 99%

Microbiological and Nutritional Analysis of Lettuce Crops Grown on the International Space Station

Khodadad¹,

Hummerick²,

Spencer³

et al. 2020

Front. Plant Sci.

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“…The presence of dew is critical for infection because the wash out effect can result in the accumulation of spores on the rachis under prolonged duration of dew. In ryegrass, the relative humidity threshold for successful infection by M. oryzae was ≥92% at 28°C (Li et al 2014).…”

Section: Discussionmentioning

confidence: 99%

A weather-based model for predicting early season inoculum build-up and spike infection by the wheat blast pathogen

Fernandes

Nicolau

Pavan

et al. 2017

Trop. plant pathol.

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Wheat blast, caused by the fungus Magnaporthe oryzae Triticum pathotype (MoT), is a serious disease capable of causing severe losses, especially during warm and humid weather conditions. Although the pathogen attacks all aboveground parts, infection of the wheat spikes is of major concern. In this work we developed and evaluated a prediction model based on the analysis of historical epidemics and weather series in the northern Paraná state, Brazil (Apucarana, Maringá and Londrina) and available epidemiological knowledge. The disease and weather datasets (hourly scale) examined encompassed the 2001-2012 period. A specific database management application (agroDb) helped to visualize and identify patterns in weather variables during two major outbreaks (2004 and 2009). Specifically, uncommonly humid and warm weather for most locations during a 60-day period preceding wheat heading during years of major outbreaks were considered key drivers of inoculum build up and airborne spores from regional inoculum sources in the surroundings. An inoculum potential (IP) and a spore cloud (SPOR) variable were estimated from models adapted from literature to predict inoculum build-up and availability. A day favoring infection (DFI) was conditioned to rules relating temperature and relative humidity for the day derived from the epidemic analysis. Successful daily infection (INF) during a DFI was conditioned to IP > 30 and SPOR >0.4. To test the model, a wheat model simulated heading date for 10 planting dates, spaced 5 days apart, within a year, totaling 320 simulations. The model described well epidemic and non-epidemics conditions for the historical dataset, and was able to correctly predict epidemic (2015) and non-epidemic (2016) years not analyzed to build the model. An interactive risk-mapping tool that collects real-time weather data was developed for the target area to warn potential outbreaks.The system can be adapted to other regions where the disease is endemic or to asses the epidemic potential in regions where the disease is not present.

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“…(Ibrahim et al 2011), and on fungi responsible for degradation of a wide range of building materials, such as gypsum drywall (Dedesko and Siegel 2015), wood (Erikson et al 1990;Schmidt 2006) and other bio-based materials (Rijckaert et al 1998;Jones and Brischke 2017). The environmental conditions also play an important role in hyphal exploration of material surfaces (leaves, wood, inert materials) and in the initial mycelial colonization of materials (Carlile et al 2001;Li et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Analysis of spatio-temporal fungal growth dynamics under different environmental conditions

et al. 2019

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Traditionally, fungal growth dynamics were assessed manually, limiting the research to a few environmental conditions and/or fungal species. Fortunately, more automated ways of measurement are gaining momentum due to the availability of cheap imaging and processing equipment and the development of dedicated image analysis algorithms. In this paper, we use image analysis to assess the impact of environmental conditions on the growth dynamics of two economically important fungal species, Coniophora puteana and Rhizoctonia solani. Sixteen environmental conditions combining four temperatures (15, 20, 25 and 30°C) and four relative humidity (RH) conditions (65, 70, 75 and 80% RH) were tested. Fungal growth characteristics were extracted from images of the growing fungi, taken at regular points in time. Advanced time series analysis was applied to quantitatively compare the effect of the environmental conditions on these growth characteristics. The evolution of the mycelial area and the number of tips over time resulted in typical sigmoidal growth curves. Other growth characteristics such as the mean hyphal segment length did not vary significantly over time. Temperature and RH usually had a combined effect on the growth dynamics of the mycelial area and the number of tips. When defining optimal growth conditions for a fungus, it is therefore of primordial importance that the effect of temperature and RH is assessed simultaneously. At the most extreme conditions we tested, the mycelium most probably experienced water stress when developing over the inert Petri dish surface. An RH of 65% (independent of temperature) for C. puteana and a temperature of 30°C (independent of RH) for both C. puteana and R. solani therefore always resulted in limited fungal growth, while the optimal growing conditions were at 20°C and 75% RH and at 25°C and 80% RH for R. solani and at 20°C and 75% RH for C. puteana. The method applied in this study offers an updated and broader alternative to classical and narrowly focused studies on fungal growth dynamics, and is well suited to efficiently assess the effect of environmental conditions on fungal growth.

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Effects of relative humidity on infection, colonization and conidiation ofMagnaporthe orzyaeon perennial ryegrass

Cited by 26 publications

References 43 publications

Microbiological and Nutritional Analysis of Lettuce Crops Grown on the International Space Station

Microbiological and Nutritional Analysis of Lettuce Crops Grown on the International Space Station

A weather-based model for predicting early season inoculum build-up and spike infection by the wheat blast pathogen

Analysis of spatio-temporal fungal growth dynamics under different environmental conditions

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