The relationship of leaf wetness duration and disease progress of glume blotch, caused byStagonospora nodorum, in winter wheat to standard weather data

Djurle, Annika; Ekbom, Barbara; Yuen, Jonathan

doi:10.1007/bf01877111

Cited by 17 publications

(8 citation statements)

References 30 publications

(29 reference statements)

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“…All three of the humidity variables averaged over the growing season (VPD, relative humidity, and the average maximum diurnal relative humidity) were highly positively related to both measures of fungal prevalence (Table 1). These data are consistent with studies of crop plants that suggest dew duration, relative humidity and temperature are critical parameters for predicting the extent of disease [22-27]. Of the three humidity measures in our study, the average maximum diurnal relative humidity was the best predictor, explaining 43% and 65% of the variance in fungal abundance and richness, respectively.…”

Section: Discussionsupporting

confidence: 91%

The effects of weather on fungal abundance and richness among 25 communities in the Intermountain West

2002

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Background: Because moisture and temperature influence the growth of fungi, characterizing weather conditions favorable for fungi may be used to predict the abundance and richness of fungi in habitats with different climate conditions. To estimate habitat favorability to fungi, we examined the relationship of fungal abundance and species richness to various weather and environmental parameters in the Intermountain West. We cultured fungi from air and leaf surfaces, and collected continuous temperature and relative humidity measures over the growing season at 25 sites.

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Section: Discussionsupporting

confidence: 91%

The effects of weather on fungal abundance and richness among 25 communities in the Intermountain West

2002

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“…2(b)). This agrees with previous findings that S. nodorum thrives with a high supply of rain 60 -62 and N, 39 and that there is a strong positive correlation between this fungus and the N concentration in grain and straw. 36 -39 D. triticirepentis showed an opposite relationship to weather conditions from S. nodorum, leading to a negative correlation between the two fungi (Table 6b).…”

Section: Seed-borne and Crop Rotation Diseasessupporting

confidence: 93%

The interactions between nitrogen dose, year and stage of ripeness on nitrogen and trace element concentrations and seed‐borne pathogens in organic and conventional wheat

2006

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The effects of N dose and stage of ripeness on Fe, Co, Cr, Ni, Se and N concentration and incidence of fungal diseases were measured in winter wheat grain from conventional (CONV) and organic (ORG) systems on neighbouring areas of a 10-year-old manure-based farm. Principal components analysis (PCA) of the data showed that year had the greatest influence on the results, but that cropping system affected N, Ni, Fe and Se content and incidence of diseases. Attack by Dreschlera tritici-repentis was highest in ORG and attack by Stagonospora nodorum in CONV. Increasing stage of maturity increased incidence of fungal disease and Fe content. Analysis of variance and MANOVA showed that wheat yield was affected by weather (precipitation and temperature), cropping system and N dose. The 10% lower yield in ORG than CONV was explained by a lower amount of plant available N at the same N dose. Nitrogen, Fe, Ni, Se and Co contents in grain were affected by year, while dry matter content was significantly lower in ORG than in CONV. The MANOVA identified correlations between Co and Fe, Ni and Se. Incidence of fungal diseases was foremost affected by weather, stage of ripeness and N dose. Organic cropping increased Fe and Se uptake and decreased S. nodorum attack, but increased attack by D. tritici-repentis.

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“…In a leaf wetness model for oilseed rape (Brassica napus), wind, radiation, and vapour pressure were the main factors influencing leaf wetness (Papastamati et al 2004). Long periods of leaf wetness, which are essential for disease development, influence latent period and spore production (Chungu et al 2001;Crowe et al 1978;Djurle et al 1996). Because these disease-weather relationships were found in overlapping periods it is likely that they influence leaf wetness.…”

Section: Discussionmentioning

confidence: 98%

A predictive model for early-warning of Septoria leaf blotch on winter wheat

Beest

Shaw

Pietravalle³

et al. 2009

Eur J Plant Pathol

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Disease-weather relationships influencing Septoria leaf blotch (SLB) preceding growth stage (GS) 31 were identified using data from 12 sites in the UK covering 8 years. Based on these relationships, an early-warning predictive model for SLB on winter wheat was formulated to predict the occurrence of a damaging epidemic (defined as disease severity of 5% or > 5% on the top three leaf layers). The final model was based on accumulated rain > 3 mm in the 80-day period preceding GS 31 (roughly from early-February to the end of April) and accumulated minimum temperature with a 0°C base in the 50-day period starting from 120 days preceding GS 31 (approximately January and February). The model was validated on an independent data set on which the prediction accuracy was influenced by cultivar resistance. Over all observations, the model had a true positive proportion of 0.61, a true negative proportion of 0.73, a sensitivity of 0.83, and a specificity of 0.18. True negative proportion increased to 0.85 for resistant cultivars and decreased to 0.50 for susceptible cultivars. Potential fungicide savings are most likely to be made with resistant cultivars, but such benefits would need to be identified with an in-depth evaluation.

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The relationship of leaf wetness duration and disease progress of glume blotch, caused byStagonospora nodorum, in winter wheat to standard weather data

Cited by 17 publications

References 30 publications

The effects of weather on fungal abundance and richness among 25 communities in the Intermountain West

The effects of weather on fungal abundance and richness among 25 communities in the Intermountain West

The interactions between nitrogen dose, year and stage of ripeness on nitrogen and trace element concentrations and seed‐borne pathogens in organic and conventional wheat

A predictive model for early-warning of Septoria leaf blotch on winter wheat

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