Page Comparison

Management of occurrences using sparse testing is improved.

The system now prevents you to:

1. Regenerate the design. From the EM data browser, select an occurrence that used sparse testing. Click the icon from the toolbar and choose Regenerate Design. An error message pops up to inform you that this feature is not supported for occurrences that used sparse testing.

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2. Add more occurrences. Edit () the details of an occurrence that used sparse testing. Unlike other occurrences, the Add Occurrence button is not enabled in the Occurrence tab for occurrences that used sparse testing.

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Bug fixes

You can now expect to encounter no errors when:

1. generating a field layout for Breeding Trial experiments using the Partially Replicated (P-rep) design with diagonal checks, and

2. downloading plot design files.

Bug fix

You can expect to encounter no error when uploading occurrence data collection files.

Calculated traits with parameters that are also calculated is now supported.

In the latest version, the tool can now auto-compute other traits from derived parameters. As such, you can now get the value of E, where:

E = D+C

C = B+A

For rice, the following traits are now auto-computed from derived parameters:

1. Missing hill (MISS HILL),

2. Moisture factor (MF),

3. Percentage of hills harvested (HVHILL_PCT),

4. Corrected plot yield in kilograms adjusted to 14% moisture content (Corrected PlotYield(KG)_MC), and

5. Plot yield in kilograms adjusted to 14% moisture content (AYLD_KG_MC).

In the DC data browser, Upload a trait data collection file containing the required trait data to generate the auto-computed traits (see formula). Once

Bug fix

Failed upload transactions are now correctly shown in the DC data browser.

Bug fix

In the Harvest Data tab, you can now properly filter records with an

Display of germplasm is improved.

When you replace some germplasm in a Cross Parent Nursery (CPN) experiment using the Planting Instructions Manager (PIM) tool, CM data browsers now correctly reflect the new germplasm.

From the EM data browser, select a

View additional data in trait data collection files.

Female and male entry codes are now featured in downloaded trait data collection files. From the CM data browser, select a cross list whose status is either

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Sparse testing is now enabled for Breeding Trial experiments.

Implemented by both the Core Breeding and Breeding Analytics domains, sparse testing can now be used for Breeding Trial experiments in EBS. In this initial version, the partially-replicated (P-Rep) design can be selected for sparse testing. From the Design tab, you can access the following features:

1. Across Environment Design. This drop-down menu allows you to select random for sparse testing, which then loads the new interface where you can define your parameters.

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2. Experiment Settings. This section in the new interface lets you set the a) Number of Experiment Occurrences* and b) the Number of Iterations you require. Click Assign to begin assigning the replicates per entry.

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3. Total Number of Replicates per Entry for the Experiment. This is a new page where you can assign the total number of replicates (NReps) per entry or to selected entries in bulk. All the changes made here are automatically saved. Then, click the back icon () to continue working on your parameters.

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4. Occurrence Design. This section lets you define your a) Occurrence Design, b) Experimental Design Parameters, and c) Field Layout. For Occurrence Design, only the P-Rep design is supported as of this version. In the Design drop-down menu, choose the Partially Replicated design to load the rest of the data fields.

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   1. Experimental Design. Here, you can set the Number of Occurrences* to be created for the current parameter set. Then, supply the Number of Test and Check Entries and their respective replications. The Method of Replicating the Check Entries can also be set randomly or manually via the toggle () button. The latter option enables an icon () to let you select the checks you want to include in your parameter set. Simply Save and go back () to the main page to continue.

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   2. Field Layout. A toggle () button is provided if you want to define the shape/dimension of the field layout. If the toggle is off, you only have to specify the Maximum Number of Plots. Otherwise, the Number of Rows and Field Order also needs to be defined. Once done, Save the parameter set.

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5. List of Parameter Sets. This section shows the list of the saved parameter sets. This expands once the parameters for all the occurrences have been defined. The options to delete () and edit () the parameter sets are available beside the status. If no other changes are required, you can Submit the design for randomization. A notification message informs you that the request was successfully sent, with the status changing from

   Status
   title draft

   to

   Status
   colour Yellow title RANDOMIZATION IN PROGRESS

   . Once done, the status is set to

   Status
   colour Blue title RANDOMIZED

   . Click the view () icon beside each parameter set to see the field design. In case you need to revise a parameter set, you can still do so by deleting () the generated plot records. This re-enables the options to delete () and edit () the parameter sets.
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Bug fixes

You can expect to encounter no errors when:

1. Auto-selecting the package records for entries with only one package record in the system,

2. Downloading a successfully randomized field layout using entry numbers,

3. Adding entries using the Advanced Nursery option following the order seen during preview,

4. Proceeding to the Review tab after successfully generating plots and/or planting instruction records,

5. Deleting entries and its associated planting arrangement records, and

6. Randomizing P-Rep designs with >4,000 entries.

Exporting custom files is improved.

From its initial implementation in 23.10, this version enhances user experience in exporting Metadata and Plot Data or Occurrence Data Collection files. Specifically, you can now:

1. Open the new export page. From the EM data browser, select one or more occurrences. Click the download button () from the toolbar. For this example, select Metadata and Plot Data from the drop-down menu. This opens a separate page that houses all sections mentioned in the 23.10 user release note. Previously, this feature is contained in a modal window.

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2. Expand data categories. Here, each data category is paired with a > icon to let users know these can be expanded.

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3. View all related data. Beside each data category, all related data are now listed and immediately viewable. You can still remove some of the related data by clicking 'X' beside the data label.

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4. Hide and display related data. When you expand a data category, a table for displayed and hidden columns is provided. By default, all related data are displayed and will be included in your downloaded file. To exclude other data labels, simply drag and drop down under the Hidden column.

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5. Download your CSV file. Click Export to begin the background process. This also redirects you to the EM data browser, where a notification () will be provided once the file is ready to be downloaded. Click the notification message to download the file on your device.

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Uploading of occurrence data collection files is enabled.

You can now upload occurrence data collection files for single or multiple occurrences. This allows you to update occurrence and management variables, such as Ecosystem and Fertilizer Brand Applications.

From the EM data browser, click the Upload button on the toolbar and choose Occurrence data collection. This opens a modal window where you can browse or drop your file and Validate it afterwards. A summary of the updates can also be reviewed before you Confirm these. Wait for the notification () informing that your occurrence and/or management data was successfully updated. You may then view the data via the Update Experiment and Occurrence () icon in the Occurrence and Management tabs. Take note that unlike plot data, uploaded occurrence data do not undergo quality control.

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Code generation is enhanced.

When customizing your entry code or plot code, only the exact suffixes you specify will be reflected by the system. These codes are used when generating your field tags and labels. Previously, the system automatically added a dash (-) before the actual suffix. You can access this improvement via the Update Experiment and Occurrence () icon and under the Code Generation tab. Here, you can specify the suffix you want to appear on your entry code or plot code.

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Bug fixes

You can expect to encounter no error when:

1. mapping occurrences,

2. exporting metadata and plot data files,

3. saving package lists from the Entry tab,

4. saving plot lists in the Plot tab after viewing the location, and

5. saving occurrence data.

Management of collected trait data is improved.

This version provides the following enhancements in the management of collected trait data:

1. Use the location name as filter in the data browser. Click the quality control (QC) icon () beside an

   Status
   colour Blue title uploaded

   transaction. You may now click the location hyperlink placed at the upper right section of the QC page to go back to the DC data browser and automatically filter its contents using the location name.

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2. Color-coding of trait data is now consistent with Breeding Analytics' PDM and ARM tools. In the Plot and Cross subtabs, the color coding of trait data is now standardized with EM and Breeding Analytics' Phenotypic Data Manager (PDM) and Analysis Request Manager (ARM) tools. New data is in green, while invalid and missing ones are in red and blue, respectively. When you upload new values to update previously committed trait data, these values will be in yellow. Additionally, suppressed values are grayed out, while voided ones are in black. Committed trait data (also called Experiment value), possible outliers, and those with a QC code of good are plainly denoted by numerals or text.

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3. Download dataset following the order of traits in the data browser. You can now expect that the order of traits shown in your downloaded CSV file follows the order you see on the Plot and Cross data browsers in the QC page. Open the QC page () and move to the Complete Transaction tab. Click Download Dataset to save the CSV file on your device.

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Bug fixes

You can expect to encounter no errors when:

1. filtering the DC data browser using statuses, and

2. completing a transaction.

Harvest Manager

1. You can expect to encounter no error when downloading a list with more than 2,000 packages. Exporting this many records will be delegated to the background. A notification () will be provided once the file is ready to be downloaded. Click the notification message to download the file.

Inventory Search

1. The initial version of the Advanced Search feature is now enabled in the tool’s Search Results data browser. From the toolbar, simply turn the Advanced Search toggle on () to narrow down your search results according to the new filters that you set. In this initial version, sorting, filtering and moving to the last page of the results are not yet supported.

2. The correct number of records are now added to the Working List page.

3. Adding filtered search results to the Working List page can now also proceed as expected.

4. The bug causing unnecessary error messages to be displayed is fixed.

Germplasm

1. Uploading germplasm attribute files and downloading germplasm relation files now proceed accordingly.