Supporting data for "Conventional and hyperspectral time-series imaging of maize lines widely used in field trials"

Dataset type: Phenotyping, Imaging, Software
Data released on November 07, 2017

Liang Z; Pandey P; Stoerger V; Xu Y; Qiu Y; Ge Y; Schnable JC (2017): Supporting data for "Conventional and hyperspectral time-series imaging of maize lines widely used in field trials" GigaScience Database. http://dx.doi.org/10.5524/100371

DOI10.5524/100371

Maize (Zea mays ssp. mays) is one of three crops, along with rice and wheat, responsible for more than 1/2 of all calories consumed around the world. Increasing the yield and stress tolerance of these crops is essential to meet the growing need for food. The cost and speed of plant phenotyping is currently the largest constraint on plant breeding efforts. Datasets linking new types of high throughput phenotyping data collected from plants to the performance of the same genotypes under agronomic conditions across a wide range of environments are essential for developing new statistical approaches and computer vision based tools.
A set of maize inbreds - primarily recently off patent lines -- were phenotyped using a high throughput platform at University of Nebraska-Lincoln. These lines have been previously subjected to high density genotyping, and scored for a core set of 13 phenotypes in field trials across 13 North American states in two years by the Genomes to Fields consortium. A total of 485 GB of image data including RGB, hyperspectral, fluorescence and thermal infrared photos has been released.

Additional details

Read the peer-reviewed publication(s):

(PubMed: 29186425)

Additional information:

https://github.com/shanwai1234/Maize_Phenotype_Map

http://doi.org/10.7946/P22K7V





Sample IDTaxonomic IDCommon NameGenbank NameScientific NameSample Attributes
Plant_001-9381124maysZea mays sub sp. Mays Description:Series of phenotyping images taken of ...
Experiment type:imaging
Alternative names:C103
...
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Plant_002-7381124maysZea mays sub sp. Mays Description:Series of phenotyping images taken of ...
Experiment type:imaging
Alternative names:B37
...
+
Plant_003-3381124maysZea mays sub sp. Mays Description:Series of phenotyping images taken of ...
Experiment type:imaging
Alternative names:A619
...
+
Plant_004-10381124maysZea mays sub sp. Mays Description:Series of phenotyping images taken of ...
Experiment type:imaging
Alternative names:CM105
...
+
Plant_005-23381124maysZea mays sub sp. Mays Description:Series of phenotyping images taken of ...
Experiment type:imaging
Alternative names:PHG39
...
+
Plant_006-25381124maysZea mays sub sp. Mays Description:Series of phenotyping images taken of ...
Experiment type:imaging
Alternative names:PHG83
...
+
Plant_007-26381124maysZea mays sub sp. Mays Description:Series of phenotyping images taken of ...
Experiment type:imaging
Alternative names:PHJ40
...
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Plant_008-19381124maysZea mays sub sp. Mays Description:Series of phenotyping images taken of ...
Experiment type:imaging
Alternative names:DKPB80
...
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Plant_009-13381124maysZea mays sub sp. Mays Description:Series of phenotyping images taken of ...
Experiment type:imaging
Alternative names:LH162
...
+
Plant_010-5381124maysZea mays sub sp. Mays Description:Series of phenotyping images taken of ...
Experiment type:imaging
Alternative names:A634
...
+
Displaying 1-10 of 155 Sample(s).




File NameSample IDData TypeFile FormatSizeRelease Date 
Tabular dataCSV4.44 KB2017-10-24
Tabular dataCSV6.3 KB2017-10-24
Tabular dataCSV114.29 KB2017-10-24
Tabular dataCSV2.24 KB2017-10-24
Tabular dataCSV0.81 KB2017-10-24
Tabular dataCSV4.55 KB2017-10-24
Tabular dataCSV33.04 KB2017-10-24
Tabular dataCSV33.12 KB2017-10-24
GitHub archivearchive13.82 KB2017-10-20
ReadmeTEXT3.08 KB2017-10-20
Displaying 1-10 of 12 File(s).
Funding body Awardee Award ID Comments
National Science Foundation JC Schnable OIA-1557417
Nebraska Corn Board JC Schnable 88-R-1617-03
Iowa Corn Board JC Schnable
Date Action
November 7, 2017 Dataset publish
January 9, 2018 Manuscript Link added : 10.1093/gigascience/gix117
November 29, 2018 File Fig6A_numeric_data.csv updated
November 9, 2022 Manuscript Link updated : 10.1093/gigascience/gix117