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Federal
Data from: Efficient imaging and computer vision detection of two cell shapes in young cotton fibers recent views
Department of Agriculture —
Methods Cotton plants were grown in a well-controlled greenhouse in the NC State Phytotron as described previously (Pierce et al, 2019). Flowers were tagged on the... -
Federal
IMAP: Image Mapping & Analytics for Phenotyping recent views
Department of Agriculture —
A set of PYTHON programs to implement image processing of ground and aerial images by offering via graphical user interface (GUI) 1) plot-level metrics extraction... -
Federal
iStitch: GUI-based Image Stitching Software recent views
Department of Agriculture —
GUI-based software coded in PYTHON to automate image stitching and alignment processes from a set of tile images for the high throughput image analytics by... -
Federal
Data from: Genetic mapping and QTL analysis for peanut smut resistance recent views
Department of Agriculture —
This collection contains supplementary information for the manuscript “Genetic mapping and QTL analysis for peanut smut resistance”, which reports the genetic map and... -
Federal
Data from: Genetic diversity, population structure, and selection of core germplasm sets from the USDA sweetpotato (Ipomoea batatas) collection recent views
Department of Agriculture —
R scripts and associated data used to select the sweetpotato core sets described in: Slonecki, T. J., Rutter, W. B., Olukolu, B. A., Yencho, G. C., Jackson, D. M.,... -
Federal
Genetic fingerprinting of 184 Aspergillus from Ethiopia isolated in 2015 from peanut seeds, raw data recent views
Department of Agriculture —
Genetic fingerprinting of 184 Aspergillus section Flavi isolates from Ethiopia screened with 24 Insertion/Deletion markers located within the aflatoxin-biosynthesis...