Plant disease forecasting models, driven by concurrent data and advanced technologies,
are reliable tools for accurate prediction of disease outbreaks in achieving sustainable and …

The latent period is a crucial life history trait, particularly for polycyclic plant diseases,
because it determines how many complete infection cycles could theoretically occur during …

A special type of ordinal scale comprising a number of intervals of known numeric ranges
can be used when estimating severity of a plant disease. The interval ranges are most often …

Wheat stripe rust (caused by Puccinia striiformis f. sp. tritici) is a major threat in most wheat
growing regions worldwide, which potentially causes substantial yield losses when …

Projected climate changes will affect wheat crop production both in the main processes of
plant growth and development but also in the occurrences and severities of plant diseases …

Strategies to slow fungicide resistance evolution often advocate early “prophylactic”
fungicide application and avoidance of “curative” treatments where possible. There is little …

Policy makers and researchers need to develop long-term priorities using reliable,
quantitative tools to assess the risks associated with plant diseases over a range of plant …

CONTEXT Rice blast manifests with different symptoms according to the affected plant
organ, ie, leaf and panicle blast, the latter being the primary determinant of yield losses in …

The effects of bias (over‐and underestimates) in estimates of disease severity on hypothesis
testing using different assessment methods was explored. Nearest percentage estimates …

Earth observation data, owing to their synoptic, timely and repetitive coverage, have been
recognized as a valuable tool for crop monitoring at different levels. At the field level, the …