Advanced diagnostic technologies for Ascochyta blight detection in chickpea

Background: Early diagnosis of plant pathogens is of global interest due to the economic aspects of over-usage of fungicides, as well as their effect on overall grain quality. Consequently, there is a need to develop technology that can provide accurate and timely identification and quantification of plant pathogens. Currently, there are several biosensor applications that involve use of nanotechnology, imaging, mobile phone and even drones for detection of airborne pathogens. This PhD research demonstrates implementation of several proof-of-concept assays, which with further developments towards in-field application, may be useful use in farms, glasshouses and in agricultural nurseries.[...]
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Environment and Sc
Science, Environment, Engineering and Technology
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