Examination of meteorology-based predictions of Fusarium head blight of wheat grown at two locations in the southern Pampas region of Argentina

Carranza, M. R.; Moschini, R. C.; Kraan, Gilberto; Bariffi, J. H.

doi:10.1071/ap07025

Cited by 7 publications

(5 citation statements)

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“…This period was regarded as the critical period length (CPL). This equation [1] was adjusted and validated for more northern [15] and southern [16] locations than Pergamino, making only a few changes. Maximum temperature threshold of the variable DD was changed to 30°C, when equation [1] was used for predicting FHB incidence in northern Pampas region [15].…”

Section: Predicted Fhb Incidence Values (Pfhbi %)mentioning

confidence: 99%

“…Maximum temperature threshold of the variable DD was changed to 30°C, when equation [1] was used for predicting FHB incidence in northern Pampas region [15]. For southern Pampas region disease incidence estimations, maximum and minimum temperature thresholds of the variable DD were increased to 30°C and to 11°C, respectively, and CPL was reduced to 450 degree-days [16].…”

Section: Predicted Fhb Incidence Values (Pfhbi %)mentioning

confidence: 99%

“…Different meteorological-based models to predict occurrence of Fusarium toxins have been elaborated in the world [12,13]. Predictive models of FHB incidence were developed in Pergamino location (humid Pampas region) [14] and one of those equations was adjusted and validated for locations further north [15] and further south [16] than Pergamino. The climate risk of the Pampas region regarding FHB is maximum in the northeastern, gradually decreasing toward the southwestern [17].…”

Section: Introductionmentioning

confidence: 99%

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Occurrence of Different Species of Fusarium from Wheat in Relation to Disease Levels Predicted by a Weather-Based Model in Argentina Pampas Region

Kikot

Moschini

Consolo³

et al. 2010

Mycopathologia

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Fusarium head blight (FHB) is an important disease throughout many of the world wheat-growing areas that have humid to semi-humid climate. The infection happens mainly during the anthesis of the wheat, when there have been favorable conditions of moisture and temperature. The direct relation of the infection to environmental factors makes possible the formulation of mathematical models that predict the disease. The causal agent of the FHB of the spike of wheat is attributed principally to Fusarium graminearum. High economic losses due yield decrease have been recorded in Argentina. In the present work, 67 isolates of Fusarium spp. were obtained from samples of wheat grains from Pampas region from 15 locations distributed in Buenos Aires, Entre Ríos, Santa Fe and Córboba provinces during 2006 and 2007 wheat-growing seasons. The identification of species from monosporic isolates was carried out by morphological characterization and use of species-specific PCR-based assays. Both identification criteria were necessary and complementary for the species determination, since in some cases the molecular identification was not specific. Scanty presence of F. graminearum was observed in 2006 wheat-growing season coinciding with the lack of favorable meteorological conditions for producing FHB infection events. High presence of F. graminearum isolates was observed in 2007 wheat-growing season, in accordance with moderate incidence of the disease according to spatial distribution of FHB incidence values. The aim of this report was to identify the causal agent of the FHB disease by different taxonomic criteria and to relate its occurrence with disease incidence values predicted by a weather-based model in Argentina.

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Section: Predicted Fhb Incidence Values (Pfhbi %)mentioning

confidence: 99%

Section: Predicted Fhb Incidence Values (Pfhbi %)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Occurrence of Different Species of Fusarium from Wheat in Relation to Disease Levels Predicted by a Weather-Based Model in Argentina Pampas Region

Kikot

Moschini

Consolo³

et al. 2010

Mycopathologia

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“…Riley and Miller (2003) argued for increased use of forecasting methods to predict mycotoxins on a countywide-scale. There is a long history of the use of models to predict crop diseases, including Fusarium head blight (De Wolf et al 2003;Del Ponte et al 2005;Carranza et al 2007) however, there are comparatively few reports on models predicting the potential for mycotoxins in field crops -the most useful being developed Schaafsma and colleagues (Hooker et al 2002;Schaafsma et al 2006;Schaafsma and Hooker 2008). These models need to be developed against a large background dataset of DON and weather within a particular area as the relationship between disease symptoms and toxin accumulation is cultivar-specific (Miller et al 1984;Paul et al 2006).…”

Section: Exposure To Maize and Wheat Borne Toxins Is Increasingmentioning

confidence: 99%

Mycotoxins in small grains and maize: Old problems, new challenges

Miller

2008

Food Additives & Contaminants: Part A

197

135

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This paper reviews the challenges relating to chronic contamination of small grains and maize with deoxynivalenol and related compounds, fumonisin and the use of ensiled cereals in cool dairy areas. Uncertainties in the tolerable daily intakes for deoxynivalenol and fumonisin are discussed as they have the potential to affect current regulatory limits. In addition, climate change is resulting in more extreme rainfall and drought events which favour formation of deoxynivalenol and fumonisin, respectively. The development and refinement of models for predicting mycotoxin accumulation from weather data will become an essential tool for managing these events. Such models are also important for providing timely food aid to developing countries, which experience increased occurrence of acute toxicities, especially in children. Chronic contamination of silage in some areas with some Penicillium toxins deserves more attention in terms of their economic effects and possible implications for the purity of milk.

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“…A weighted value was used to account for the greater contribution to final grain yield made by the upper leaves compared with lower leaves (6,15,27). FHBI = (percent incidence x percent severity)/100 (5). FHB disease assessments.…”

Section: Methodsmentioning

confidence: 99%

Application of a Rank-Based Method for Improved Cultivar Selection in Soft Red Winter Wheat

Lackermann

Esker

2011

Plant Disease

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Lackermann, K. V., and Esker, P. D. 2011. Application of a rank-based method for improved cultivar selection in soft red winter wheat. Plant Dis. 95:1407-1413.Both grain yield and disease performance are important factors to consider for winter wheat {Triticum aestivum) cultivar selection. However, disease severity and yield data are often presented separately, making it difficult to compare values across multiple environments. The objective of this study was to use a rank-based method to compare cultivars based on yield and disease performance combined across multiple environments. Thirty-six wheat cultivars were planted at each of four Wisconsin locations (Arlington, Chilton, Janesville, and Lancaster) in 2009 and 2010. Plots were assessed four times during the growing season for powdery mildew, Septoria/Stagonospora leaf blotch, and leaf rust. Incidence and severity of Fusarium head blight were assessed at Zadoks growth stage 85 (soft dough). Within each location-year. cultivars were ranked for severity of each disease and for grain yield. One-way analysis of variance was performed to calculate an overall rank value that incorporated data for all four diseases and yield across the eight location-years. There was an effect of cultivar on overall rank {P < 0.0001). Powdery mildew rank was strongly correlated with overall rank (Spearman's rho = 0.485, P = 0.005), as was yield rank (Spearman's rho = 0.674, P < 0.0001). Cultivars described as "best" or "worst" cultivars were generally more consistent in their rankings across different treasures. The use of a rank-based method provides an approach that will allow growers to base cultivar selection on multiple performance measures across multiple environments.

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Examination of meteorology-based predictions of Fusarium head blight of wheat grown at two locations in the southern Pampas region of Argentina

Cited by 7 publications

References 3 publications

Occurrence of Different Species of Fusarium from Wheat in Relation to Disease Levels Predicted by a Weather-Based Model in Argentina Pampas Region

Occurrence of Different Species of Fusarium from Wheat in Relation to Disease Levels Predicted by a Weather-Based Model in Argentina Pampas Region

Mycotoxins in small grains and maize: Old problems, new challenges

Application of a Rank-Based Method for Improved Cultivar Selection in Soft Red Winter Wheat

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