Potato late blight forecasting service set up in Aroostook County, Maine

1955 ◽  
Vol 32 (7) ◽  
pp. 275-275
Keyword(s):  
Late Blight ◽  
Potato Late Blight ◽  
Aroostook County ◽  
Set Up

Discerning strains of Phytophthora infestans the causative agent of potato late blight by SSCP analysis of virulence genes

2018 ◽  
Vol 34 (6) ◽  
pp. 4-11
Author(s):  
V.K. Chizhik ◽  
◽  
E.A. Sokolova ◽  
V.V. Martynov ◽  
M.A. Kuznetsova ◽  
...  
Keyword(s):  
Late Blight ◽  
Phytophthora Infestans ◽  
Causative Agent ◽  
Virulence Genes ◽  
Potato Late Blight ◽  
Sscp Analysis

Climate change may have limited effect on global risk of potato late blight

2014 ◽  
Vol 20 (12) ◽  
pp. 3621-3631 ◽  
Author(s):  
Adam H. Sparks ◽  
Gregory A. Forbes ◽  
Robert J. Hijmans ◽  
Karen A. Garrett
Keyword(s):  
Climate Change ◽  
Late Blight ◽  
Potato Late Blight ◽  
Global Risk ◽  
Limited Effect

scholarly journals Profiling the Secretome and Extracellular Proteome of the Potato Late Blight PathogenPhytophthora infestans

2014 ◽  
Vol 13 (8) ◽  
pp. 2101-2113 ◽  
Author(s):  
Harold J. G. Meijer ◽  
Francesco M. Mancuso ◽  
Guadalupe Espadas ◽  
Michael F. Seidl ◽  
Cristina Chiva ◽  
...  
Keyword(s):  
Late Blight ◽  
Potato Late Blight ◽  
Extracellular Proteome

scholarly journals Modeling of Yield Losses Caused by Potato Late Blight on Eight Cultivars with Different Levels of Resistance to Phytophthora infestans

Plant Disease ◽  
2012 ◽  
Vol 96 (7) ◽  
pp. 935-942 ◽  
Author(s):  
Toky Rakotonindraina ◽  
Jean-Éric Chauvin ◽  
Roland Pellé ◽  
Robert Faivre ◽  
Catherine Chatot ◽  
...  
Keyword(s):  
Late Blight ◽  
Phytophthora Infestans ◽  
Relative Yield ◽  
Weather Conditions ◽  
Potato Late Blight ◽  
Yield Losses ◽  
Predictive Quality ◽  
Wide Range ◽  
Cultivar Susceptibility

The Shtienberg model for predicting yield loss caused by Phytophthora infestans in potato was developed and parameterized in the 1990s in North America. The predictive quality of this model was evaluated in France for a wide range of epidemics under different soil and weather conditions and on cultivars different than those used to estimate its parameters. A field experiment was carried out in 2006, 2007, 2008, and 2009 in Brittany, western France to assess late blight severity and yield losses. The dynamics of late blight were monitored on eight cultivars with varying types and levels of resistance. The model correctly predicted relative yield losses (efficiency = 0.80, root mean square error of prediction = 13.25%, and bias = –0.36%) as a function of weather and the observed disease dynamics for a wide range of late blight epidemics. In addition to the evaluation of the predictive quality of the model, this article provides a dataset that describes the development of various late blight epidemics on potato as a function of weather conditions, fungicide regimes, and cultivar susceptibility. Following this evaluation, the Shtienberg model can be used with confidence in research and development programs to better manage potato late blight in France.

scholarly journals Complete mitogenome mapping of potato late blight pathogen, Phytophthora infestans A2 mating type

2017 ◽  
Vol 2 (1) ◽  
pp. 90-91
Author(s):  
Virupaksh U. Patil ◽  
G. Vanishree ◽  
Debasis Pattanayak ◽  
Sanjeev Sharma ◽  
Vinay Bhardwaj ◽  
...  
Keyword(s):  
Late Blight ◽  
Phytophthora Infestans ◽  
Mating Type ◽  
Potato Late Blight ◽  
Complete Mitogenome ◽  
Late Blight Pathogen

Stability of disease expression in the potato late blight pathosystem: A preliminary field study

1992 ◽  
Vol 69 (10) ◽  
pp. 635-644 ◽  
Author(s):  
J. M. Parker ◽  
H. D. Thurston ◽  
M. J. Villarreal-Gonzalez ◽  
W. E. Fry
Keyword(s):  
Late Blight ◽  
Field Study ◽  
Potato Late Blight ◽  
Disease Expression

scholarly journals Invasion of Phytophthora infestans at the Landscape Level: How Do Spatial Scale and Weather Modulate the Consequences of Spatial Heterogeneity in Host Resistance?

2010 ◽  
Vol 100 (11) ◽  
pp. 1146-1161 ◽  
Author(s):  
Peter Skelsey ◽  
Walter A. H. Rossing ◽  
Geert J. T. Kessel ◽  
Wopke van der Werf
Keyword(s):  
Late Blight ◽  
Spatial Heterogeneity ◽  
Plant Disease ◽  
Atmospheric Dispersion ◽  
Potato Late Blight ◽  
Landscape Scale ◽  
Life Cycles ◽  
Disease Spread ◽  
Susceptible Cultivar ◽  
Landscape Level

Strategic spatial patterning of crop species and cultivars could make agricultural landscapes less vulnerable to plant disease epidemics, but experimentation to explore effective disease-suppressive landscape designs is problematic. Here, we present a realistic, multiscale, spatiotemporal, integrodifference equation model of potato late blight epidemics to determine the relationship between spatial heterogeneity and disease spread, and determine the effectiveness of mixing resistant and susceptible cultivars at different spatial scales under the influence of weather. The model framework comprised a landscape generator, a potato late blight model that includes host and pathogen life cycles and fungicide management at the field scale, and an atmospheric dispersion model that calculates spore dispersal at the landscape scale. Landscapes consisted of one or two distinct potato-growing regions (6.4-by-6.4-km) embedded within a nonhost matrix. The characteristics of fields and growing regions and the separation distance between two growing regions were investigated for their effects on disease incidence, measured as the proportion of fields with ≥1% severity, after inoculation of a single potato grid cell with a low initial level of disease. The most effective spatial strategies for suppressing disease spread in a region were those that reduced the acreage of potato or increased the proportion of a resistant potato cultivar. Clustering potato cultivation in some parts of a region, either by planting in large fields or clustering small fields, enhanced the spread within such a cluster while it delayed spread from one cluster to another; however, the net effect of clustering was an increase in disease at the landscape scale. The planting of mixtures of a resistant and susceptible cultivar was a consistently effective option for creating potato-growing regions that suppressed disease spread. It was more effective to mix susceptible and resistant cultivars within fields than plant some fields entirely with a susceptible cultivar and other fields with a resistant cultivar, at the same ratio of susceptible to resistant potato plants at the landscape level. Separation distances of at least 16 km were needed to completely prevent epidemic spread from one potato-growing region to another. Effects of spatial placement of resistant and susceptible potato cultivars depended strongly on meteorological conditions, indicating that landscape connectivity for the spread of plant disease depends on the particular coincidence between direction of spread, location of fields, distance between the fields, and survival of the spores depending on the weather. Therefore, in the simulation of (airborne) pathogen invasions, it is important to consider the large variability of atmospheric dispersion conditions.

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