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J. M. Fountaine

Researcher at Scotland's Rural College

Publications -  25
Citations -  1008

J. M. Fountaine is an academic researcher from Scotland's Rural College. The author has contributed to research in topics: Ramularia & Hordeum vulgare. The author has an hindex of 14, co-authored 25 publications receiving 873 citations. Previous affiliations of J. M. Fountaine include Scottish Agricultural College & Syngenta.

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Journal ArticleDOI

Role of Ascospores in Further Spread of QoI-Resistant Cytochrome b Alleles (G143A) in Field Populations of Mycosphaerella graminicola.

TL;DR: A method integrating spore trapping with real-time PCR assays was developed and enabled us to both quantify the number of M. graminicola ascospores in air samples as well as estimate the frequency of R alleles in ascospore populations.
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Practical application of induced resistance to plant diseases: an appraisal of effectiveness under field conditions

TL;DR: The resistance induced is broad spectrum and can be long-lasting, but is rarely complete, with most inducing agents providing between 0·20 and 0·85 disease control.
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Managing the ecology of foliar pathogens: ecological tolerance in crops

TL;DR: Understanding the population dynamic balance between the organisms of the phyllosphere as an ecological system should lead to new approaches in agronomy, crop protection and breeding that enhance sustainability, where the previously presumed requirement to eliminatePutative pathogens is replaced by management that favours dominance of beneficial organisms and contains putative pathogens in asymptomatic or stable states.
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Characterisation of QoI‐resistant field isolates of Botrytis cinerea from citrus and strawberry

TL;DR: The conventional RFLP and sequence analyses of PCR-amplified cytochrome b gene are insufficient for molecular identification of QoI resistance in B. cinerea.
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Control of foliar diseases in barley: towards an integrated approach

TL;DR: Progress is reviewed towards an integrated approach for disease management in barley in which new methods may be combined with existing measures to improve the efficacy of control in the long-term.