Integrated strategies for the control of Fusarium head blight and deoxynivalenol contamination in winter wheat

Blandino, Massimo; Haidukowski, Miriam; Pascale, Michelangelo; Plizzari, Luca; Scudellari, D.; Reyneri, Amedeo

doi:10.1016/j.fcr.2012.04.004

Cited by 131 publications

(112 citation statements)

References 40 publications

(12 reference statements)

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Section: Introductionmentioning

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).The models driving the Risk Assessment Tool were created with a relatively small set of observations collected prior to 2006 (12,40), which possibly limits inference to new data from a wider set of environmental permutations. In this article, we describe a larger data set of FHB observations, available because of active collaborator participation in U.S.…”

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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: Introductionmentioning

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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“…The effect of tillage practices has been studied previously. Lori et al (2009) reported DON content 1.4 times higher in plots with minimal tillage, whereas Blandino et al (2012) reported that the mean DON content in plots with no tillage was 4.3 times higher than it was in fields that were ploughed before sowing. The observed relationship between increased FHB and maize residue agrees with earlier studies in which FHB epidemics were associated with wheat-maize rotations.…”

Section: Discussionmentioning

confidence: 96%

“…To protect cereals from FHB, however, it is necessary to integrate multiple strategies, such as managing previous crop residues (Dill-Macky and Jones 2000), choosing the cropping system (Dill-Macky and Jones 2000; Champeil et al 2004a;Lori et al 2009), and selecting the proper cultivar (Blandino et al 2012). Our long-term field trials monitored at two locations the effects of preceding crop and soil management method on contamination of harvested wheat and barley grains by the mycotoxin DON.…”

Section: Discussionmentioning

confidence: 99%

“…This group includes FHB, where some Fusarium species occur without apparent symptoms and the grain is nevertheless contaminated with mycotoxins. Although some recent papers have dealt with the effect of agronomic practices on FHB (Chandelier et al 2011;Vogelgsang et al 2011;Blandino et al 2012;Landschoot et al 2013), there remains a lack of knowledge about the effects of many factors and the interactions among them.…”

Section: Introductionmentioning

confidence: 99%

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Soil Management Technologies and Mycotoxin Contamination of Wheat and Barley Grain

Matušinsky¹,

Váňová²,

Tvarůžek³

et al. 2016

Cereal Research Communications

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Fusarium head blight caused by a complex of Fusarium species is widespread across the world and ranks among the most serious diseases in cereals. Long-term field experiments were set up to evaluate the effects of preceding crop and soil management methods on Fusarium mycotoxin (DON, deoxynivalenol) contamination of winter wheat and spring barley grain. Winter wheat and spring barley were cultivated at two locations in the Czech Republic (A: Ivanovice na Hané during 2002-2014, and B: Žabčice during 2007-2014) with preceding crops (A) alfalfa, maize, and pea; and (B) alfalfa (only for wheat), sugar beet (only for barley), and maize. Different soil management methods also were used: (A) 22 cm tillage, 15 cm tillage, 10 cm chisel, and direct drilling; and (B) 22 cm tillage, 10 cm chisel, and direct drilling. Mycotoxin content in harvested grain was analysed using ELISA. At both locations in the experiments with both wheat and barley, year had a significant effect on mycotoxin content in grain. Preceding crop was another significant factor in wheat experiments at both locations, with DON content in grain higher with maize as the preceding crop than in the cases of other preceding crops. Soil management method had a significant effect only on mycotoxin content in wheat grain grown at Žabčice, and the highest DON content was determined in the chisel variant, in which case a large amount of harvest residue remained on the soil surface or was only partially incorporated.

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Plasma‐assisted deposition of fungicide containing coatings for encapsulation and protection of maize seeds

Porto

Palumbo

Somma

et al. 2019

Plasma Processes & Polymers

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The aim of the research work here reported is to illustrate how to incorporate prothioconazole, a molecule with fungicide action, in plasma‐deposited polymeric coating, encapsulating maize seeds. With this approach, high fungicide effect with a small quantity of chemicals and less pollution of soil and water should be achieved. The fungicide composite coating is composed of three layers: a hydrophilic plasma deposited polymeric layer to increase the wettability of the seed surface; a layer of sprayed prothioconazole aqueous solution; and a hydrophobic plasma deposited barrier layer to limit leaching and mimic the natural seed wettability. The application of the composite coating is found not to interfere with the germination of the seeds, while the percentage of maize crowns infected by Fusarium graminearum was successfully reduced from 94% in the control to none in the coated seeds.

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Integrated strategies for the control of Fusarium head blight and deoxynivalenol contamination in winter wheat

Cited by 131 publications

References 40 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

Soil Management Technologies and Mycotoxin Contamination of Wheat and Barley Grain

Plasma‐assisted deposition of fungicide containing coatings for encapsulation and protection of maize seeds

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