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Data from: A scalable, low-cost phenotyping strategy to assess tuber size, shape, and the colorimetric features of tuber skin and flesh in potato breeding populations
This data set contains images of potato tubers from clones in the A08241 F1 breeding population grown in Aberdeen, Idaho during the 2019 field season. Each clone was grown as 8-hill plots and replicated twice. Five tubers per sample were imaged. Each face of the tuber was imaged on two different backgrounds. The five tubers were also halved lengthwise and one of side was imaged using a flatbed scanner.
Resources in this dataset:
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Resource Title: A08241_scanner_images File Name: tubers.zip Resource description: These are images of halved potato tubers collected from clones in the A08241 breeding population using a Hewlett Packard HP ColorJet 6200C flatbed scanner. No color correction was performed on these images.
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Resource Title: A08241_lightbox_images File Name: box.zip Resource description: These are images of potato tubers from the A08241 breeding population captured on a lightbox background using a Nikon D7100 camera. No color correction was performed on these images.
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Resource Title: A08241_black_background_images File Name: std.zip Resource description: These are images of potato tubers from the A08241 breeding population captured on a black background using a Nikon D7100 camera. No color correction was performed on these images.
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Resource Title: A08241_lightbox_color_corrected_images File Name: lightbox_color_corrected.zip Resource description: These are images of potato tubers from the A08241 breeding population captured on a lightbox background using a Nikon D7100 camera. Color correction was performed in MATLAB by Nathan Miller.
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Resource Title: A08241_black_background_color_corrected_images File Name: blackbackground_color_corrected.zip Resource description: These are images of potato tubers from the A08241 breeding population captured on a non-reflective black background using a Nikon D7100 camera. Color correction was performed in MATLAB by Nathan Miller.
Funding
USDA-ARS: 2092-21220-003-000D
History
Data contact name
Feldman, MaxData contact email
max.feldman@usda.govPublisher
Ag Data CommonsIntended use
This data was collected for the purpose of trait extraction and QTL mapping. It can also be used to generate machine learning models for feature identification.Use limitations
Lighting is quite variable.Temporal Extent Start Date
2020-01-01Theme
- Not specified
Geographic Coverage
{"type":"FeatureCollection","features":[{"geometry":{"type":"Point","coordinates":[-119.73848819733,46.254339020289]},"type":"Feature","properties":{}}]}ISO Topic Category
- farming
National Agricultural Library Thesaurus terms
data collection; Solanum tuberosum; potatoes; tubers; clones; Idaho; scanners; cameras; color; phenotype; colorimetry; plant breeding; agronomic traits; breeding lines; artificial intelligenceOMB Bureau Code
- 005:18 - Agricultural Research Service
OMB Program Code
- 005:040 - National Research
ARS National Program Number
- 301
Pending citation
- No
Related material without URL
Max J. Feldman, Jaebum Park, Nathan Miller, Collins Wakholi, Katelyn Greene, Arash Abbasi, Devin A. Rippner, Duroy Navarre, Cari Schmitz Carley, Laura M. Shannon, and Rich Novy, A scalable, low-cost phenotyping strategy to assess tuber size, shape, and the colorimetric features of tuber skin and flesh in potato breeding populations. The Plant Phenome Journal (in review).Public Access Level
- Public