10.5061/DRYAD.4B8GTHT99
LeBauer, David
0000-0001-7228-053X
University of Arizona
Maxwell, Burnette
National Center for Supercomputing Applications
Demieville, Jeffrey
University of Arizona
Fahlgren, Noah
Donald Danforth Plant Science Center
French, Andrew
USDA Agricultural Research Service
Garnett, Roman
Washington University in St. Louis
Hu, Zhenbin
Kansas State University
Huynh, Kimberly
University of Arizona
Kooper, Rob
National Center for Supercomputing Applications
Li, Zongyang
Donald Danforth Plant Science Center
Maimaitijiang, Maitiniyazi
Saint Louis University
Mao, Jerome
Case Western Reserve University
Mockler, Todd
Donald Danforth Plant Science Center
Morris, Geoffrey
Kansas State University
Newcomb, Maria
Agricultural Research Service
Ottman, Michael
University of Arizona
Ozersky, Philip
Donald Danforth Plant Science Center
Paheding, Sidike
Saint Louis University
Pauli, Duke
University of Arizona
Pless, Robert
George Washington University
Qin, Wei
Amazon.com
Riemer, Kristina
University of Arizona
Rohde, Gareth
University of Illinois at Urbana Champaign
Rooney, William
Texas A&M University
Sagan, Vasit
Saint Louis University
Shakoor, Nadia
Donald Danforth Plant Science Center
Stylianou, Abby
Saint Louis University
Thorp, Kelly
USDA Agricultural Research Service
Ward, Richard
,
White, Jeffrey
University of Florida
Willis, Craig
University of Illinois at Urbana Champaign
Zender, Charles
University of California, Irvine
Data From: TERRA-REF, An open reference data set from high resolution
genomics, phenomics, and imaging sensors
Dryad
dataset
2020
Sorghum bicolor (L.) Moench
High throughput phenotyping
3D images analysis
RGB Images
weather data
plant traits
Plant genomics
Advanced Research Projects Agency - Energy (ARPA-E), U.S. Department of Energy*
DE-AR0000598
Advanced Research Projects Agency - Energy (ARPA-E), U.S. Department of Energy
DE-AR0000598
2020-08-19T00:00:00Z
2020-08-19T00:00:00Z
en
https://doi.org/10.1145/3219104.3219152
800302508 bytes
6
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
The ARPA-E funded TERRA-REF project is generating open-access reference
datasets for the study of plant sensing, genomics, and phenomics. Sensor
data were generated by a field scanner sensing platform that captures
color, thermal, hyperspectral, and active flourescence imagery as well as
three dimensional structure and associated environmental measurements.
This dataset is provided alongside data collected using traditional field
methods in order to support calibration and validation of algorithms used
to extract plot level phenotypes from these datasets. Data were collected
at the University of Arizona Maricopa Agricultural Center in Maricopa,
Arizona. This site hosts a large field scanner with fifteen sensors, many
of which are capable of capturing mm-scale images and point clouds at
daily to weekly intervals. These data are intended to be re-used, and are
accessible as a combination of files and databases linked by spatial,
temporal, and genomic information. In addition to providing open access
data, the entire computational pipeline is open source, and we enable
users to access high-performance computing environments. The study has
evaluated a sorghum diversity panel, biparental cross populations, and
elite lines and hybrids from structured sorghum breeding populations. In
addition, a durum wheat diversity panel was grown and evaluated over three
winter seasons. The initial release includes derived data from from two
seasons in which the sorghum diversity panel was evaluated. Future
releases will include data from additional seasons and locations. The
TERRA-REF reference dataset can be used to characterize
phenotype-to-genotype associations, on a genomic scale, that will enable
knowledge-driven breeding and the development of higher-yielding cultivars
of sorghum and wheat. The data is also being used to develop new
algorithms for machine learning, image analysis, genomics, and optical
sensor engineering.
See terraref-dryad.pdf, metadata/methods.csv, and
metadata/docs.terraref.org_2020_04_06.pdf
See terraref-dryad.pdf