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Fig 1.

Late blight of potato is caused by the oomycete pathogen Phytophthora infestans.

A: sporangia are aerially dispersed and deposited on the surface of potato leaves. B: Sporangia release motile zoospores in cool wet conditions. C: penetration of the leaf epidermis occurs via production of appressoria. D (close up) and E: disease symptoms including: water soaked and sporulating necrotic lesions in susceptible cultivar Binjte grown under field conditions, Borgeby, Sweden 2015. Scale bars A and C, 2 μm; B, 10 μm. All photographs: Laura Grenville-Briggs.

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Fig 1 Expand

Fig 2.

Graphical representation of the SIMCAST lookup table.

The number of blight units to be added for each moist period (relative humidity ≥ 90%) depends on the mean temperature (in degree Celsius) during the period and the length of the period in hours.

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Fig 2 Expand

Table 1.

Covariates used in the statistical analysis.

All variables except Location are time dependent.

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Table 1 Expand

Fig 3.

Continuous representation of SIMCAST based on a beta function along the temperature gradient and a sigmoidal function along the hour gradient.

The number of blight units to be added for each wet period (relative humidity≥ 90%) depends on the mean temperature (in degree Celsius) during the period and the length of the period in hours.

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Fig 3 Expand

Fig 4.

Occurrence of late blight over the investigation time in Finland (triangles) and Sweden (circles).

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Fig 4 Expand

Fig 5.

Proportion of non-infected potato trials separated in three 10 year periods.

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Fig 5 Expand

Fig 6.

Predictability of occurrence of late blight in Finland (triangles) and Sweden (circles) based on a moving window of 10 years expressed in the p-value of the model containing all parameters listed in Table 1.

Please note that the data series for Finland starts in 1990 and ends already in 2011.

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Fig 6 Expand

Table 2.

Predictive power and coefficient of the covariates without combinations.

Acronyms: temp.: temperature; rel.hum.: relative humidity; min.: minimum. An exp(coeff) value larger unity indicates a positive relationship.

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Table 2 Expand

Fig 7.

Example prediction of incidence of late blight based on weather data in the year 2010 at a single site.

The central cross-line indicates the estimated hazard rate while the upper and the lower confidence intervals are given as dotted or broken lines respectively.

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Fig 7 Expand

Fig 8.

Evaluation of parameter robustness.

The coefficient is estimated from a proportion of the data sets excluding ca 40% of the data using a bootstrap method.

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Fig 8 Expand