Epidemiology of Fusarium head blight on small-grain cereals

Osborne, L. E.; Stein, J. M.

doi:10.1016/j.ijfoodmicro.2007.07.032

Cited by 292 publications

(193 citation statements)

References 47 publications

Supporting

Mentioning

179

Contrasting

Unclassified

Order By: Relevance

“…Fusarium head blight (FHB) caused by Fusarium graminearum is a serious and devastating spike disease in wheat (Triticum aestivum L.) [1]. This disease has become a serious threat to the production and quality of wheat and a major concern in many parts of the world [2].…”

Section: Introductionmentioning

confidence: 99%

Shotgun Analysis of the Secretome of Fusarium graminearum

Yan

Yang

et al. 2013

Indian J Microbiol

View full text Add to dashboard Cite

Fusarium head blight, caused predominately by Fusarium graminearum, is one of the most destructive diseases of wheat (Triticum aestivum L.) worldwide. To characterize the profile of proteins secreted by F. graminearum, the extracellular proteins were collectively obtained from F. graminearum culture supernatants and evaluated using one-dimensional SDS-PAGE and liquid chromatography-tandem mass spectrometry. A total of 87 proteins have been identified, of which 63 were predicted as secretory proteins including those with known functions. Meanwhile, 20 proteins that are not homologous to genomic sequences with known functions have also been detected. Some of the identified proteins are possible virulence factors and may play extracellular roles during F. graminearum infection. This study provides a valuable dataset of F. graminearum extracellular proteins, and a better understanding of the virulence mechanisms of the pathogen.

show abstract

Section: Introductionmentioning

confidence: 99%

Shotgun Analysis of the Secretome of Fusarium graminearum

Yan

Yang

et al. 2013

Indian J Microbiol

View full text Add to dashboard Cite

show abstract

“…Increased corn (Zea mays) production in wheat-growing regions, concurrent with wider adoption of reduced tillage for soil conservation, were likely contributory factors to severe epidemics beginning in the latter part of the 19th century (36,60), as pathogen survival in corn residue is an acknowledged FHB risk factor (13,27). FHB epidemiological research includes (i) basic documentation of epidemics and observed weather conditions at the time, a mainly descriptive effort, followed by quantification of optimal (usually controlled) conditions for various epidemiologically relevant processes (7,14,45,59,62,63); (ii) synthesis of basic epidemiological results into generalized, qualitative risk algorithms predicting FHB epidemics (47,59,63); and (iii) translation of the generalized risk algorithms into quantitative risk models (10,12,18,25,32,34,39,41,58), several of which were reviewed elsewhere (55). Within the United States, models originally developed by De Wolf and colleagues (12) and subsequently refined (39,40) are the central risk algorithms behind the Fusarium Head Blight Risk Assessment Tool (http://www.wheatscab.psu.edu), a publicly funded service providing local-level, empirical FHB predictions across 31 states (35).…”

mentioning

confidence: 99%

Predicting Fusarium Head Blight Epidemics With Weather-Driven Pre- and Post-Anthesis Logistic Regression Models

Shah¹,

Molineros²,

Paul³

et al. 2013

Phytopathology®

View full text Add to dashboard Cite

Shah, D. A., Molineros, J. E., Paul, P. A., Willyerd, K. T., Madden, L. V., and De Wolf, E. D. 2013. Predicting Fusarium head blight epidemics with weather-driven pre-and post-anthesis logistic regression models. Phytopathology 103:906-919.Our objective was to identify weather-based variables in pre-and postanthesis time windows for predicting major Fusarium head blight (FHB) epidemics (defined as FHB severity  10%) in the United States. A binary indicator of major epidemics for 527 unique observations (31% of which were major epidemics) was linked to 380 predictor variables summarizing temperature, relative humidity, and rainfall in 5-, 7-, 10-, 14-, or 15-daylong windows either pre-or post-anthesis. Logistic regression models were built with a training data set (70% of the 527 observations) using the leaps-and-bounds algorithm, coupled with bootstrap variable and model selection methods. Misclassification rates were estimated on the training and remaining (test) data. The predictive performance of models with indicator variables for cultivar resistance, wheat type (spring or winter), and corn residue presence was improved by adding up to four weatherbased predictors. Because weather variables were intercorrelated, no single model or subset of predictor variables was best based on accuracy, model fit, and complexity. Weather-based predictors in the 15 final empirical models selected were all derivatives of relative humidity or temperature, except for one rainfall-based predictor, suggesting that relative humidity was better at characterizing moisture effects on FHB than other variables. The average test misclassification rate of the final models was 19% lower than that of models currently used in a national FHB prediction system.Additional keywords: additive logistic regression, data mining, multiple imputation.In the United States, Fusarium head blight (FHB) of wheat (Triticum aestivum L. em. Thell) is caused primarily by Fusarium graminearum sensu stricto of the F. graminearum species complex (44). Major FHB epidemics have occurred somewhere in the United States in every decade since the disease was formally described by W. G. Smith in 1884 (60) although, in any given location, epidemics tend to occur sporadically. During the last two decades, U.S. wheat experienced large direct production losses because of FHB (35,36) and even larger indirect losses in other sectors of the economy (43), contributing to the characterization of FHB as a reemerging disease of importance (36,53). Increased corn (Zea mays) production in wheat-growing regions, concurrent with wider adoption of reduced tillage for soil conservation, were likely contributory factors to severe epidemics beginning in the latter part of the 19th century (36,60), as pathogen survival in corn residue is an acknowledged FHB risk factor (13,27). FHB epidemiological research includes (i) basic documentation of epidemics and observed weather conditions at the time, a mainly descriptive effort, followed by quantification of optimal (usually controlle...

show abstract

“…The cultivars were planted in 1 m rows with the multiple row seeder Hege Seedmatic (Hege Maschinen, Eging am See, Germany) in Changins or in 20 x 20 cm miniplots by hand in Cadenazzo. Upon fl owering, plants were infected with conidiospores of F. culmorum produced on oat grains [7]. Plants were uniformly treated with a backpack sprayer (Spray Matic 10 B, Birchmeier Sprühtechnik AG, Stetten, Switzerland) using 30 ml spore suspension per m 2 at a concentration of 10 6 spores per ml.…”

Section: Methodsmentioning

confidence: 99%

“…This is best studied for the pathogens of the Fusarium head blight (FHB) complex on wheat, where crop residues constitute the principal source of inoculum in the fi eld [5,6]. Fusarium graminearum predominates in Central and southeastern Europe, while in cooler maritime climates mainly F. culmorum, F. avenaceum, F. poae, and Microdochium species occur [7]. Arguably, these distribution patterns are changing with changing cropping techniques.…”

Section: Introductionmentioning

confidence: 99%

Characterization of the Relationships between Wheat Cultivars, Fusarium Head Blight, and Mycoflora Grains

Pusz

Mascher

Czembor

et al. 2016

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

Stored wheat grains are colonized by a wide range of saprophytic and pathogenic fungi. Contamination by mycotoxigenic species like Fusarium spp. raise concern about the food safety of the commodity. Different environmental and genetic factors govern colonization. The present work studies the relationships between the wheat variety and the resistance against Fusarium head blight (FHB) among the diversity of grain colonizers. Five Swiss and fi ve Polish varieties were planted in an experimental site, and the grains were harvested and stored according to a unifi ed protocol in order to avoid contamination during and after harvest. In parallel, the resistance of the varieties was established by conducting trials at two other experimental sites with artifi cial infections. Overall, about 18 fungal taxa were identifi ed on the grains from the plot trial. Results show signifi cant differences in the presence and abundance of fungal species between the varieties. Colonization, in particular with Fusarium spp., was not correlated with FHB resistance. The experiments demonstrate that the factor variety can infl uence the colonization of wheat grains by fungi. Future research must help to better understand the plant traits that govern the differential colonization. These fi ndings should be considered in future studies on wheat storage and food safety.

show abstract

Epidemiology of Fusarium head blight on small-grain cereals

Cited by 292 publications

References 47 publications

Shotgun Analysis of the Secretome of Fusarium graminearum

Shotgun Analysis of the Secretome of Fusarium graminearum

Predicting Fusarium Head Blight Epidemics With Weather-Driven Pre- and Post-Anthesis Logistic Regression Models

Characterization of the Relationships between Wheat Cultivars, Fusarium Head Blight, and Mycoflora Grains

Contact Info

Product

Resources

About