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
2015 ◽  
Vol 105 (2) ◽  
pp. 230-238 ◽  
Author(s):  
S. K. Shakya ◽  
E. M. Goss ◽  
N. S. Dufault ◽  
A. H. C. van Bruggen

Global climate change will have effects on diurnal temperature oscillations as well as on average temperatures. Studies on potato late blight (Phytophthora infestans) development have not considered daily temperature oscillations. We hypothesize that growth and development rates of P. infestans would be less influenced by change in average temperature as the magnitude of fluctuations in daily temperatures increases. We investigated the effects of seven constant (10, 12, 15, 17, 20, 23, and 27°C) and diurnally oscillating (±5 and ±10°C) temperatures around the same means on number of lesions, incubation period, latent period, radial lesion growth rate, and sporulation intensity on detached potato leaves inoculated with two P. infestans isolates from clonal lineages US-8 and US-23. A four-parameter thermodynamic model was used to describe relationships between temperature and disease development measurements. Incubation and latency progression accelerated with increasing oscillations at low mean temperatures but slowed down with increasing oscillations at high mean temperatures (P < 0.005), as hypothesized. Infection efficiency, lesion growth rate, and sporulation increased under small temperature oscillations compared with constant temperatures but decreased when temperature oscillations were large. Thus, diurnal amplitude in temperature should be considered in models of potato late blight, particularly when predicting effects of global climate change on disease development.


2016 ◽  
Vol 22 (11) ◽  
pp. 3724-3738 ◽  
Author(s):  
Peter Skelsey ◽  
David E. L. Cooke ◽  
James S. Lynott ◽  
Alison K. Lees

2012 ◽  
Vol 2 (1) ◽  
pp. 28-33
Author(s):  
J Luck ◽  
M Asaduzzaman ◽  
S Banerjee ◽  
I Bhattacharya ◽  
K Coughlan ◽  
...  

2018 ◽  
Vol 34 (6) ◽  
pp. 4-11
Author(s):  
V.K. Chizhik ◽  
◽  
E.A. Sokolova ◽  
V.V. Martynov ◽  
M.A. Kuznetsova ◽  
...  

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

Plant Disease ◽  
2012 ◽  
Vol 96 (7) ◽  
pp. 935-942 ◽  
Author(s):  
Toky Rakotonindraina ◽  
Jean-Éric Chauvin ◽  
Roland Pellé ◽  
Robert Faivre ◽  
Catherine Chatot ◽  
...  

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.


2017 ◽  
Vol 2 (1) ◽  
pp. 90-91
Author(s):  
Virupaksh U. Patil ◽  
G. Vanishree ◽  
Debasis Pattanayak ◽  
Sanjeev Sharma ◽  
Vinay Bhardwaj ◽  
...  

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