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Table of Contents

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  • germplasm_heterotic_groupThe germplasm groups within species. For example: NSS, SSS, A, or B for maize.
  • germplasm_idA higher level of ID. For example: MGID.
  • germplasm_subspSub species grouping of germplasm. This could be different for each crop, but for example, would be dent, flint, sweet, or pop for maize, indica, and japonica for rice, breed bread wheat, durum wheat for wheat, etc.
  • par1The germplasm name for parent 1 of the germplasm (in a biparental cross this would be the female).
  • par2The germplasm name for parent 2 of the germplasm  (in a biparental cross this would be the male).
  • par3The germplasm name for parent 3 of the germplasm.
  • par4The germplasm name for parent 4 of the germplasm.
  • pedigreeThe pedigree for the germplasm name.
  • seed_source_idSeed source ID for the germplasm.

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  • name: A required field to describe the sample name. This is usually the name that gets sent to the lab for processing. Note Note: A unique sample (within a GDM Crop Database) is defined by the unique combination of the project_name, dnasample_name, and dnasample_number so the dnasample_name does not need to be unique within a project or across projects. The dnasample name in a project can also be the same name as the germplasm name. This is often the case for legacy data existing before sample tracking or LIMS systems were in place.
  • uuid: A required field for a unique ID that can be used to identify a sample or sub-samples generated from a plot or plant. We advocate the use of a Universal Unique Identifier which is a 128-bit number used to identify information in computer systems eg 123e4567-e89b-12d3-a456-426655440000. Such a uuid will help to identify and track samples generated from across multiple institutes and systems. As long identifiers may not be manageable by vendors, the sample name can be sent to the vendor, and the uuid maintained internally.
  • platename: An optional field describing the plate name that the sample is in. This can be a number (1,2,3,4, etc.), or a name given by the lab.
  • num: A required field describing the numerical order of the sample within a project. For example, 1-96 for a 96 well plate. The combination of dnasample name and num need to be unique within the project. 
  • well_col: An optional field describing the plate column coordinates for the sample. For example, 1-12 for a 96 well plate.
  • well_row: An optional field describing the plate row coordinates for the sample. For example, A-H for a 96 well plate.

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  • ref_sampleA standard "Reference" sample against which all other germplasms are compared. This is also called a "gold standard" line. As this is not a CV term, the crop community needs to decide on standards for naming ref samples.
  • sample_groupThe grouping of germplasm that has the utility to the breeder for analysis purposes. For example: a population and its parents that need to be grouped for data analysis.
  • sample_group_cycleThe cycle of germplasm grouping. For example: different generations of a population and its parents that allow for further grouping withing the germplasm group.
  • sample_parent_prop: This can be used to describe the type of parent, for example: female/male or DP/RP (donor/recurrent parent)
  • sample_typeThe type of tissue sampled. For example, : leaf, seed, bulk seed, or bulk plant. You can map the term to Plant Ontology (PO) if available. For example: if leaf sample is taken, it could be mapped to PO term leaf with its identifier PO:0025034 or leaf_PO:0025034.
  • trial_nameThe trial name for the field experiment that the sample is coming from, or fieldbook.

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  1. For local files, click Browse to browse your file, or drag and drop the file into the file list box. If you select the wrong file, check the checkbox next to the file, then click Remove Selected File(s)
  2. For large files, load them from the files folder in your crop server environment. Create a new folder under the files folder, then copy the folder name to the Remote Path field. 
  3. If you are loading many files with the exact same format, create a template at the end of the wizard process, then save it for future use. Use templates with caution; they do not key off matching field names, but do key off row and column positions. Ensure that when you use a template, your metadata fields and data are in the exact same columns as when your template was made.
  4. Select the file format from the File Format drop-down menu.
  5. Click Preview Data. For local files, you must log into your crop server.
  6. The top left-hand section of your file is now viewable in the preview section. Expand the columns to view the headers. 
  7. Select the header position from the Header Position drop-down menu. For all marker, mapset and sample files, the headers must be in the TOP position. 
  8. Select the Field header coordinate by clicking the row of the column headers in the file preview. The row number is returned in the Field header coordinate field (0 is the top row).
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  9. Click Next to map data to the database fields. The row count starts at 0 as shown in the screenshot above.

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  1. The first two tables are mainly for mapping germplasm metadata. Mandatory fields are highlighted with bluish green (cyan) color. The left box shows the terms from your data file. 
  2. Drag and drop your germplasm name and germplasm external code from Data file fields to name and external_code respectively in the Germplasm Information table. 
  3. If you have information on species_name and type_name of your germplasm, you can drag and drop the information in the same way as shown in the screenshot below:     
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    Note that both germplasm species_name and germplasm type_name are CV terms. Therefore, make sure that the information provided for these two fields in your data files are as described in the CV table.

  4. Use the Property table below Germplam Information table to map the terms related to germpalm properties or metadata. 
  5. Drag and drop your additional germplasm fields from Data file fields into the Property field and click Next.
  6. Skip mapping terms to DNA Sample Information table and then click Next.
  7. Click Finish to load the germplasm file to the database. You may need to log into the server to submit the file.

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  1. Select Wizards | DNA Sample Wizard.
  2. Select PI, Project, and Experiment.
  3. Select file to load. For additional information, refer to Selecting the file to load, above
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Mapping DNA Sample Metadata

  1. Click Next without mapping any terms related to Germplasm and go to DNAsample Information table directly.  
  2. The mandatory fields for both DNASample Information and DNArun/DS_DNArun Information are highlighted with bluish green (cyan) color. The left box shows the terms from your data file. 
  3. Drag and drop your dnasample_name, germplasm_external code, dnasample_UUID, and dnasample_number from Data file fields to nameexternal_code, number, respectively in the DNAsample Information table. 
  4. If you have information on dnasample_platename, dnasample_well_col, dnasample_well_row are available in your data file, you can drag and drop the information in the same way as shown in the screenshot below:  

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  5. Drag and drop your DNArun_name, dnasample_name, dnasample_number from Data file fields to name, dnasample_name, number, respectively in the DNArun/DS_DNArun Information table. 
  6. If you have information on dnasample_platename, dnasample_well_col, dna_well_row are available in your data file, you can drag and drop the information in the same way as shown in the screenshot above.  
  7. Use the Property table which is given below DNAsample Information table and DNArun/DS_DNArun Information table to map the terms related to DNA sample and DNArun properties . 
  8. Drag and drop your additional germplasm fields from Data file fields into the Property field and click Next.
  9. Skip mapping terms to DNA Sample Information table and just click Next.
  10. Click Finish to load the germplasm file to the database. You may need to login to the server to submit the file.