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Data released on November 07, 2017

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

Liang, Z; Pandey, P; Stoerger, V; Xu, Y; Qiu, Y; Ge, Y; Schnable, J, C (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 RIS BibTeX Text

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.

Contact Submitter

Additional information:

https://github.com/shanwai1234/Maize_Phenotype_Map

http://doi.org/10.7946/P22K7V

Keywords:

Maize Image Phenomics Field-phenotype 

Phenotyping, Imaging, Software

http://gigadb.org/images/data/cropped/100371.jpg

Funding:

  • Funding body - National Science Foundation
  • Award ID - OIA-1557417
  • Awardee - JC Schnable
  • Funding body - Nebraska Corn Board
  • Award ID - 88-R-1617-03
  • Awardee - JC Schnable
  • Funding body - Iowa Corn Board
  • Awardee - JC Schnable

Samples: Table Settings

Columns:

Common Name
Scienfic Name
Sample Attributes
Taxonomic ID
Genbank Name

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
...
+
Plant_008-19381124maysZea mays sub sp. Mays Description:Series of phenotyping images taken of ...
Experiment type:imaging
Alternative names:DKPB80
...
+
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).

Files: (FTP site) Table Settings

Columns:

File Description
Sample ID
File Type
File Format
Size
Release Date
Download Link
File Attributes

File NameSample IDFile TypeFile FormatSizeRelease Date 
Tabular dataCSV3.19 KB2017-10-24
Tabular dataCSV4.8 KB2017-10-24
Displaying 11-12 of 12 File(s).

History:

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