Anna Underhill
University of Minnesota
7 Papers
Anna Underhill is an academic researcher from University of Minnesota. The author has contributed to research in topics: Biology & Population. The author has an hindex of 1, co-authored 2 publications. Previous affiliations of Anna Underhill include United States Department of Agriculture.
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Papers
Evaluating and Mapping Grape Color Using Image-Based Phenotyping
Anna Underhill,Cory D. Hirsch,Matthew D. Clark +2 more
- 24 Apr 2020
TL;DR: The ability of an image analysis phenotyping system to characterize berry color and to more effectively capture variability within a population and identify genetic regions of interest is demonstrated.
Fine Mapping of Leaf Trichome Density Revealed a 747-kb Region on Chromosome 1 in Cold-Hardy Hybrid Wine Grape Populations.
Lu Yin,Avinash Karn,Lance Cadle-Davidson,Cheng Zou,Anna Underhill,Paul Atkins,Erin L. Treiber,Daniel F. Voytas,Matthew D. Clark +8 more
TL;DR: In this article, the authors found that high trichome density was associated with resistance to phylloxera and proposed a quantitative trait locus (QTL) underlying foliar PHY-oxera resistance on chromosome 14.
High throughput saliency-based quantification of grape powdery mildew at the microscopic level for disease resistance breeding
Tian Qiu,Anna Underhill,Surya Sapkota,Lance Cadle-Davidson,Yu Jiang +4 more
TL;DR: In this article , a saliency-based processing pipeline was developed for the quantification of grapevine powdery mildew (PM) infection in microscopic images and comprehensively evaluated its performance for genetic analyses.
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Effects of Nighttime Applications of Germicidal Ultraviolet Light upon Powdery Mildew (Erysiphe necator), Downy Mildew (Plasmopara viticola), and Sour Rot of Grapevine.
David M. Gadoury,Surya Sapkota,Lance Cadle-Davidson,Anna Underhill,Tyler McCann,Kaitlin M. Gold,Nikita Gambhir,David Combs +7 more
TL;DR: In this paper , a hemicylindrical array of low-pressure discharge UV-C lamps configured for trellised grapevines was designed and fitted to both a tractor-drawn carriage and a fully autonomous robotic carriage for vineyard applications.
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Non-destructive monitoring of foliar fungicide efficacy with hyperspectral sensing in grapevine.
Nikita Gambhir,Angela Paul,Tian-shuang Qiu,David Combs,Saeed Reza Hosseinzadeh,Anna Underhill,Lance Cadle-Davidson,Yu Jiang,Kaitlin M. Gold +8 more
TL;DR: Hyperspectral sensing in the visible to shortwave infrared range (400-2,400 nm) can quantify foliar fungicide efficacy on grape leaves, with prediction accuracy varying by fungicide and time point measured, facilitating strategic fungicide applications and sustainable grapevine protection.
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