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Tracking Lesion Growth in the Field: Imaging and Deep Learning Reveal Components of Quantitative Resistance

2025-05-23

Abstract excerpt

<h4>Summary</h4> Measuring individual components of pathogen reproduction is key to understanding mechanisms underlying rate-reducing quantitative resistance (QR). Simulation models predict that lesion expansion plays a key role in seasonal epidemics of foliar diseases, but measuring lesion growth with sufficient precision and scale to test these predictions under field conditions has remained impractical. We use...

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Literature Corpus work
c177013c-63f3-581c-98d4-94cc3e1ea32a
DOI
10.1101/2025.05.20.655031
Open publication

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Tracking Lesion Growth in the Field: Imaging and Deep Learning Reveal Components of Quantitative ResistanceDOI 10.1101/2025.05.20.655031
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