Relationship Among Concentrations of <i>Sphaerotheca macularis</i> Conidia in the Air, Environmental Conditions, and the Incidence of Powdery Mildew in Strawberry

Blanco, C.; Santos, Berta de los; Barrau, C.; Arroyo, F. T.; Porras, María Eugenia de; Romero, Fernando

doi:10.1094/pdis.2004.88.8.878

Cited by 41 publications

(28 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Under our conditions (i.e., in protected systems, with no rainfall), wind is assumed to be the main factor for spore dispersal. This is in agreement with previous reports that showed the a daily cyclical pattern of spore dispersal in strawberry powdery mildew, with highest spore concentrations in the air measured between 12:00 and 16:00 (Peries 1962;Blanco et al 2004) and with many results indicating the importance of wind for spore dispersal in powdery mildews (Yarwood 1957;Butt 1978). Another mechanism of spore dispersal may be the passing of harvesters, which may provide an efficient way to spread the disease, especially where two manual handpickings per week can be made during production peaks.…”

Section: Discussionsupporting

confidence: 93%

Spore dispersal and disease gradients in strawberry powdery mildew

Willocquet

Sombardier

Blancard

et al. 2008

Canadian Journal of Plant Pathology

View full text Add to dashboard Cite

Spore dispersal and disease gradients were measured in powdery mildew of strawberry (Fragaria × ananassa), caused by Podosphaera aphanis, under two production systems: a glasshouse and a plastic tunnel. All gradients could be well described by exponential and power law models, but the power law model provided a better description, particularly at large distances. Primary gradients were associated with spore dispersal occurring predominantly within 1.20 m. Slope estimates ranged between 0.025 and 0.075 cm -1 and between 0.8 and 1.7 for the exponential and power law models, respectively. Spore dispersal was considerably greater in the tunnel than in the glasshouse, where epidemics did not develop. Disease gradients in the tunnel became shallower as epidemics developed and were associated with decreasing slope estimates over time. The differences between tunnel and glasshouse were assumed to reflect differences in wind speed, which was about 10 times lower in the glasshouse than in the tunnel.Résumé : Les gradients de dispersion de spores et de propagation de maladie ont été mesurés chez l'oïdium du fraisier (Fragaria × ananassa), causé par Podosphaera aphanis, dans deux systèmes de production : sous serre en verre et sous tunnel plastique. Tous les gradients ont pu être décrits de manière satisfaisante par les modèles exponentiels et puissance, mais le modèle puissance a permis une meilleure description des gradients notamment aux distances les plus grandes. Les gradients primaires étaient associés à une dispersion des spores effectuée principalement dans un rayon de 1,20 m. Les estimations de la pente du gradient variaient entre 0,025 et 0,075 cm -1 et entre 0,8 et 1,7, pour les modèles exponentiel et puissance, respectivement. La dispersion des spores était beaucoup plus importante en tunnel qu'en serre, où aucune épidémie ne s'est développée. Les gradients de propagation de maladie en tunnel devenaient plus plats, et étaient associés avec des paramètres de pente plus faibles, au fur et à mesure que les épidémies se développaient. Il est supposé que les différences entre tunnel et serre reflétaient les différences de vitesse de vent, celle-ci étant environ 10 fois plus faible en serre qu'en tunnel.

show abstract

Section: Discussionsupporting

confidence: 93%

Spore dispersal and disease gradients in strawberry powdery mildew

Willocquet

Sombardier

Blancard

et al. 2008

Canadian Journal of Plant Pathology

View full text Add to dashboard Cite

show abstract

“…Sivapalan (1993) demonstrated that rain can cause physical damage to mildews, and the correlation between rainfall and strawberry powdery mildew conidia was negative and significant (Blanco et al 2004). However, in our study, only 4 rainy days occurred in the 2007-2008 season when spores were trapped.…”

Section: Discussioncontrasting

confidence: 56%

“…Smith and Davies (1973) studied relationships between weather conditions and spore trap catches of barley mildew. The effect of meteorological factors on dispersal of other powdery mildew conidia such as apple powdery mildew (Sutton and Jones 1979;Xu et al 1995), grape powdery mildew (Willocquet and Clerjeau 1998), cherry powdery mildew (Grove 1998) and strawberry powdery mildew (Blanco et al 2004) have been studied. However, there are few studies on the relations between conidial dispersal and powdery mildew in wheat.…”

Section: Introductionmentioning

confidence: 99%

Dynamics in concentrations of Blumeria graminis f. sp tritici conidia and its relationship to local weather conditions and disease index in wheat

et al. 2011

View full text Add to dashboard Cite

Experiments were conducted for 3 seasons, in a wheat field planted with a cultivar susceptible to powdery mildew in Langfang City, Hebei Province, China. Plants were inoculated with Blumeria graminis f. sp. tritici (Bgt) and conidia of Bgt in the air were trapped using volumetric spore samplers. Disease severity was recorded weekly. The relationships between airborne conidial concentrations and meteorological factors, as well as disease index were analyzed. Conidia were first detected about 20 days after inoculation in all three seasons, and then increased gradually with time. The highest conidial concentrations in the air were observed in mid-May 2008 and 2009 and late May 2010 at growth stage (GS) 10.5.4. The concentrations of Bgt conidia after inoculation (GS 5) to milky ripe (GS 11.1) in the air were positively correlated with temperature, solar radiation, and negatively with relative humidity and vapor pressure deficit (VPD). Prediction models of Bgt conidial concentrations in the air based on meteorological factors were constructed using multiple regression analysis. Time series analysis, using autoregressive integrated moving average (ARIMA) (p, d, q) models, showed that each of the three season's data can be fitted with simple ARIMA (1, 0, 0) models. Conidial concentrations within the canopy were significantly higher than those above the canopy (P < 0.01). The weeklyaccumulated mean hourly conidia per cubic metre of air significantly (P<0.01) correlated with disease index in all three seasons.

show abstract

“…In spring, at the time of regrowth on June-bearing cultivars, the disease can be initiated by ascospores produced in cleistothecia or by conidia produced on mycelia that survived the winter ( 12). Secondary cycles are initiated by conidia produced on P. aphanis colonies and are responsible for disease progress during the growing season (3).…”

mentioning

confidence: 99%

“…Knowledge of spatial and temporal structure of an epidemic is crucial for the development of sound sampling strategies. Such information is not available for strawberry powdery mildew (3,4,6).…”

mentioning

confidence: 99%

Spatial Pattern of Strawberry Powdery Mildew (Podosphaera aphanis) and Airborne Inoculum

et al. 2014

View full text Add to dashboard Cite

Van der Heyden, H., Lefebvre, M., Roberge, L., Brodeur, L., and Carisse, O. 2014. Spatial pattern of strawberry powdery mildew (Podosphaera aphanis) and airborne inoculum. Plant Dis. 98:43-54.The relationship between strawberry powdery mildew and airborne eonidium concentration (ACC) of Podosphaera aphanis was studied using data collected from 2006 to 2009 in 15 fields, and spatial pattern was described using 2 years of airborne inoculum and disease incidence data collected in fields planted with the June-bearing strawberry (Fragaria x ananassa) cultivar Jewel. Disease incidence, expressed as the proportion of diseased leaflets, and ACC were monitored in fields divided into 3x8 grids containing 24 100 m-quadrats. Variance-tomean ratio, index of dispersion, negative binomial distribution. Poisson distribution, and binomial and beta-binomial distributions were used to characterize the level of spatial heterogeneity. The relationship between percent leaf area diseased and daily ACC was linear, while the relationship between ACC and disease incidence followed an exponential growth curve. The V/M ratios were significantly greater than 1 for 100 and 96% of the sampling dates for ACC sampled at 0.35 m from the ground (ACCo 35^) and for ACC sampled at 1.0 m from the ground (ACCiom). respectively. For disease incidence, the index of dispersion D was significantly greater than 1 for 79% of the sampling dates. The negative binomial distribution fitted 86% of the data sets for both ACC| om and ACCoijn,. For disease incidence data, the beta-binomial distribution provided a good fit of 75% of the data sets.

show abstract

Relationship Among Concentrations of Sphaerotheca macularis Conidia in the Air, Environmental Conditions, and the Incidence of Powdery Mildew in Strawberry

Cited by 41 publications

References 11 publications

Spore dispersal and disease gradients in strawberry powdery mildew

Spore dispersal and disease gradients in strawberry powdery mildew

Dynamics in concentrations of Blumeria graminis f. sp tritici conidia and its relationship to local weather conditions and disease index in wheat

Spatial Pattern of Strawberry Powdery Mildew (Podosphaera aphanis) and Airborne Inoculum

Contact Info

Product

Resources

About