Efficacy of Triazole-Based Fungicides for Fusarium Head Blight and Deoxynivalenol Control in Wheat: A Multivariate Meta-Analysis

Paul, Pierce A.; Lipps, P. E.; Hershman, D. E.; McMullen, Marcia; Draper, Martin A.; Madden, L. V.

doi:10.1094/phyto-98-9-0999

Cited by 272 publications

(230 citation statements)

References 32 publications

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“…For one major use of the Tool, predictions need to be made sufficiently early so that growers have time to optionally apply a fungicide. Fungicide application at anthesis provides the highest percent control (52). Applications during the milk stage may also be beneficial (72) but must adhere to pre-harvest interval regulatory requirements.…”

Section: Discussionmentioning

confidence: 99%

“…The models are simple, in that they contain a few easily calculated predictors, an asset when deploying models at the regional scale. The Risk Assessment Tool's purpose is to provide growers enough advanced notification, if the forecasted risk of an FHB epidemic is high, to optionally apply a fungicide at anthesis (51,52), an effective mitigation strategy, especially when combined with cultivar resistance (2,67,69).…”

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confidence: 99%

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

Shah¹,

Molineros²,

Paul³

et al. 2013

Phytopathology®

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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...

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Section: Discussionmentioning

confidence: 99%

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®

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“…Fungicides of the demethylation inhibitors (DMIs) group, which includes triazoles, inhibit the C-14 α-demethylation of 24-methylenedihydrolanosterol, a precursor of ergosterol in fungi (Brent, 1995). Tebuconazole, metconazole and prothioconazole are among the azole fungicides with higher efficacy in suppressing FHB symptoms and reducing mycotoxin levels in mature grain (Paul et al, 2008).…”

mentioning

confidence: 99%

“…Currently, triazoles are the main fungicides used in FHB control in the major wheat producing countries (Paul et al, 2008;Becher et al, 2011).…”

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confidence: 99%

Sensitivity of Fusarium graminearum causing head blight of wheat in Brazil to tebuconazole and metconazole fungicides

Spolti

Jorge

Ponte

2012

Trop. plant pathol.

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Fusarium head blight (FHB) of wheat, is caused by fungal populations belonging to the Fusarium graminearum species complex. Although triazole fungicides are widely used in FHB management, information about the sensitivity of F. graminearum populations to such fungicides is scarce, particularly in Brazil. This work aimed at determining the sensitivity of pathogenic populations of F. graminearum to metconazole and tebuconazole. Fungal isolates were obtained from diseased wheat heads collected in commercial fields at the northern region of Rio Grande do Sul state, Brazil, along the 2009 and 2010 growing seasons. Fifty isolates obtained from eleven locations were grown in media amended with increasing fungicide dosages and the effective concentration reducing mycelial growth to 50% (EC 50 ) was determined. The median of the EC 50 values was 0.001 mg/L (<0.001-0.152 mg/L) and 0.037 mg/L (<0.001-0.324), for tebuconazole and metconazole, respectively. Cross-resistance was detected based on significance of correlation analysis (r s = 0.46; P < 0.0001) between the log-transformed EC 50 of the two triazoles. The mean EC 50 for a group of ten isolates classified as "more sensitive" differed statistically from the ten isolates representing the "less sensitive" group. Nevertheless, these groups did not differ in terms of mycelial growth on PDA in the absence of fungicides. It was concluded that pathogenic populations of F. graminearum are sensitive to the triazoles at various levels due to the intrinsic characteristics of the isolates or to selection pressure by the increasing fungicide use.

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“…10,11) The sensitivity of the Fusarium graminearum species complex to metconazole and the efficacy of metconazole against isolates with different sensitivities have also been reported. 12) In field studies, optimal fungicide application timing for controlling FHB was shown to be different from that for controlling mycotoxin contamination.…”

Section: Introductionmentioning

confidence: 99%

Effect of application timing of metconazole on Fusarium head blight development and mycotoxin contamination in wheat and barley

et al. 2014

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The effect of application timing of metconazole on the control of Fusarium head blight (HFB) and mycotoxin accumulation in wheat and barley was investigated. Single and double applications of metconazole at different spray timings were performed in a wheat field trial. In single application plots, the mid-flowering stage was the optimal application timing of metconazole for controlling FHB symptom development, and the milking stage was optimal for reducing mycotoxin contamination. Similar efficacies were observed in all spray timings in double application plots, which included the mid-flowering stage and another spray timing. In the barley field trial, application at the mid-flowering stage controlled both FHB development and mycotoxin contamination with the highest efficacy. Similar efficacies for controlling the development of FHB in the barley field were observed with single and double applications of the fungicide. However, mycotoxin contamination was lower with double application than with single application of the fungicide.

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Efficacy of Triazole-Based Fungicides for Fusarium Head Blight and Deoxynivalenol Control in Wheat: A Multivariate Meta-Analysis

Cited by 272 publications

References 32 publications

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

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

Sensitivity of Fusarium graminearum causing head blight of wheat in Brazil to tebuconazole and metconazole fungicides

Effect of application timing of metconazole on Fusarium head blight development and mycotoxin contamination in wheat and barley

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