Management of germplasm is improved.

This version implements the following improvements:

1. Printout tool is enabled. In the Search tab, you can now click on the printout icon () found in the search result data browser’s toolbar. In the coming versions, this feature will also support templates that you can generate for your selected germplasm records.

   

2. [ADMIN] Delete failed transactions. EBS admins can create germplasm records via the Create tab; however, some of these transactions may fail due to technical errors in the backend. As such, the feature to delete () transactions with the

   Status
   colour Red title creation failed

   status is now enabled.
   

3. [ADMIN] Update germplasm state in bulk via upload. In the Update tab, you can now revise the germplasm state of specified records by uploading a valid CSV file containing the changes. You can download the prescribed Template and populate it accordingly. Then, simply Upload the file and wait for the validation to finish. Once successful, you can now view () and Complete the transaction for the updated germplasm state. Otherwise, an error log () will also be available for your reference.

   24.04 G2.mp4

Filtering records is enhanced.

The area just below the column names serves as the filter for the search results data browser. You can now filter the columns for MC (Moisture Content), MTA_STATUS (Material Transfer Agreement Status), and RSHT_NO (Routine Seed Health Testing Number). Simply supply your keywords to have more narrowed search results. Click the icon to remove the filters.

Bug fixes

The bugs encountered when managing records in the working list were fixed. Specifically, you can now:

1. add records to the seed list, such that no unnecessary errors are displayed, and

2. accurately reflect reordered items in the working list.

Uploading of designs is improved.

The processes surrounding the uploading and validation of unspecified designs is enhanced, which is applicable only for Breeding Trial experiments. Specifically, you can now:

1. Upload unspecified and P-Rep designs in the Wheat program. The Wheat (BW) program now supports the upload of unspecified and Partially Replicated (P-Rep) design files. In the Design tab, choose Unspecified or P-Rep in the design drop-down menu. Then, click the button to show the modal window where you can have your design file validated before confirming the upload. Error messages will also be shown if your file is invalid so you can make the necessary changes.

   24.04 EC1.mp4

2. Upload unspecified design for sparse testing. You can now successfully validate and upload unspecified design files for sparse testing. This applies to design files whose occurrences have overlapping entries and otherwise. In the Design tab, choose Random in the Across Environment Design drop-down menu. Then, toggle to Upload to enable the button. Browse for your design file to Pre-validate it. Once successful, simply Confirm the upload. The status of each parameter set will then be set to

   Status
   title UPLOADED

   .
   24.04 EC2.mp4

New notification message is supported.

An updated message is displayed to notify you that deleting entries in the Entries tab is limited to those that have not been used in crosses or designs. The message previously included “planting arrangement” (PA) in the message, but this was removed because the entry deletion process already resets the PA that was already generated.

To view this update, Create a generation nursery experiment. Proceed with the steps until you reach the Review tab. Then, go back to the Entries tab and delete some or all entries. The updated notification should be displayed. Confirming the deletion will reset the PA, which means you have to redo it. Otherwise, you can go ahead and move to the Review tab to complete the creation of your experiment.

Site tab’s contact person data field now uses data from CRM.

The list of names available for selection in the Site tab’s Contact Person drop-down list now comes from the records of the Core System’s Contact Relationship Management (CRM) tool. This improvement enables occurrences to be assigned to contacts who may not be EBS users. This also allows the use of a centralized and authoritative source of contact information. Previously, the contacts available for selection is limited to those saved in the Core Breeding domain’s Persons tool.

Sparse testing template is enhanced.

Templates are available for users to download when generating sparse testing design files outside EBS. These are available in the Upload Design Array modal window. The Sparse Template now have standard column names (e.g., design X and design Y). As of this version, multiple parameter sets must be in one uploaded file.

To access this feature, go to the Design tab and set the Across Environment Design to Random. Then, toggle () to Upload and click the button to open the Upload Design Array modal window. The Sparse Template also contains sample data for your reference.

Bug fixes

You can now expect to encounter no errors when:

1. populating an experiment’s basic information,

2. importing entry lists, such that there are no skipped entry numbers,

3. moving to the next step in experiment creation after successfully uploading a design file,

4. uploading design files for sparse implementations,

5. uploading randomization files for non-sparse Row-Column and P-Rep designs,

6. uploading randomization files for Unspecified design using sparse testing,

7. generating occurrence names for Observation experiments such that the last three digits in the occurrence name (counter) always starts at 1,

8. viewing entries with the correct entry number count (Entry No. column) in the Entry List tab,

9. updating entries in bulk,

10. viewing the four options to add entries (Input List, Advanced Nursery, Copy Entry List, and Saved List) such that there is a page loading indicator to show that the records are still being fetched, and

11. deleting more than 500 crosses, which will be delegated to the background.

Use printout templates relevant to your program.

On the EM data browser, click the Printout () button from the toolbar. This opens a modal window where you can select a template that you want to generate for your occurrence. In the Template drop-down menu, only the templates relevant to your set program data filter is available for selection. Previously, all available printout templates is reflected in the drop-down list.

Quickly save plots to a list.

The time it takes to save occurrence or location plots to a list is now improved. This is especially useful when saving more than 20,000 plots to any list type. In the EM data browser, view () an occurrence whose plot count is more than 20,000. Go to the Plot tab and select all the plots to be added in a list. Click the icon to open the Save as New List modal window, where you can supply the necessary information. You are then redirected to the EM data browser as the saving process is delegated to the background. A notification () will be available once the process is done.

Downloading trait data collection files is improved.

New notifications are enabled when you attempt to download trait data collection files from occurrence/s with no saved trait protocols. From the EM data browser, select an occurrence with no saved trait protocol/s. Download the file via the toolbar button () and select Trait Data Collection > Occurrence > With Trait Abbreviations.

The notification () is then displayed on the EM data browser or the Download Trait Data Collection File page to inform you why you cannot download the file for now. You can resolve this by adding trait Protocols via the () icon on the data browser or the Download Trait Data Collection File page.

Downloadable planting instruction files are improved.

You can now see two additional columns in the planting instruction files: Pipeline and Market Segment. These are expected when downloading either from an occurrence or location level. You can readily select the pipeline during experiment creation, while the market segment can be added by updating the experiment information using EM.

From the EM data browser, select an experiment or occurrence. Click the button from the toolbar and select Planting Instructions. You can select either Occurrence or Location.

Bug fixes

The bugs encountered when managing experiments were fixed. Specifically, you can now:

1. generate locations,

2. view occurrence and site names when editing an occurrence,

3. add new occurrences to old experiments, such that entry and plot numbers reflect the data in the uploaded design file, and

4. upload occurrence data,

5. downloading metadata and plot data files, such that collected traits are included when available,

6. upload occurrence metadata successfully, and

7. add an occurrence and upload a design for it.

The plot subtab’s data browser is enhanced.

The following improvements are implemented to improve user experience:

1. Scroll through your plot data with the column headers intact. This allows for an easier viewing and navigation experience, especially for transactions with a lot of plot trait data.

2. View calculated traits. All computed traits are now shown in the Plot subtab’s data browser by default. Previously, users had to display these traits using the icon from the toolbar.

3. Customize the data browser. Using the icon from the toolbar, you can now show/hide columns in the Plot subtab’s data browser. All changes made is set as default, so that the settings are preserved when you view other transactions in the future.

   24.04 DC.mp4

Computed trait values are recalculated after suppressing data from its parameter/s.

When you suppress data point/s in traits (Parameters) whose values are used as inputs to calculate other traits (Computed), the system now recalculates the latter’s value to reflect the changes. This is applicable when suppressing data individually or via rules.

Using a transaction with the status

Bug fixes

You can expect to encounter no errors when:

1. downloading trait DC files via the EM toolbar, such that an error message appears when you attempt to download for an occurrence with no saved trait protocols,

2. uploading trait DC files,

3. viewing trait data with no duplicates,

4. retaining selected checkboxes even after a column is sorted,

5. computing for Percent Plant Survival (SUB_SURVIVAL_PCT) and (Ears Per Plant) EPP,

6. viewing the Compute tab based on the availability of formulas as defined by the uploaded data, and

7. calculating traits, such that raw data from (a) occurrence metadata and (b) uploaded trait data collection file is recognized as input.

Management of occurrences is enhanced.

This version implements the following improvements:

1. Occurrence page summary. When you update () the details of an occurrence, the option to Add Occurrences to Breeding Trial or Observation experiments is also available. After you are redirected to the Add Occurrence page, you can now expect to see a page summary just beside the toolbar. This details the number of total items in the current page.

   

2. Harvest status. View () your occurrence and go to the Crosses tab. Here, the Harvest Status column is now enabled. You can also filter this column, as well as include it in your exported () file.

   

3. Improved validation of uploaded occurrence data collection files. The validation process now skips blank columns. With this, you can now successfully Upload your occurrence data collection files even with blank columns present. Previously, the validation stops at the first invalid field it detects, such as blank columns.

   

Bug fixes

You can expect to encounter no errors when:

1. downloading a planting instructions file, such that all columns are properly labeled, and

2. uploading and validating an occurrence data collection file.

The Compute tab is improved.

The initial implementation of the Compute tab is now enhanced with the following features. Specifically, you can now:

1. Filter, Sort, and Select all formulas. You can now filter the formula data browser using the blank field just below the column names, while clicking the column labels allow you to sort contents in an ascending or descending order. The Select All checkbox is also enabled for bulk selection of formulas.

   

2. View and use formulas with parameters derived from other formulas. You can now compute for trait values whose formulas contain inputs that are the results of other formulas. For example, you want to calculate for traits A, B, and D, where:

   • A is an uploaded trait value,

   • B = A + C, and

   • D = B + E.

     

Bug fixes

You can expect to encounter no errors when:

1. completing the transaction for more than 500 plot trait data values,

2. calculating traits, and

3. filtering the data browser to view transactions with

   Status
   colour Red title failed

   ,

   Status
   title in queue

   , and

   Status
   colour Yellow title in progress

   statuses.

More harvest use cases are enabled for Cowpea crop.

As EBS prepares to support the Cowpea (CWP) program, two additional harvest use cases are now supported to advance nurseries. Specifically, you can now;

1. Harvest F1 and F4 generations using Bulk method. F1 and F4 germplasm belonging to any type and whose state is

   Status
   title not_fixed

   can now be harvested using the Bulk method. In the Harvest Data tab, provide the harvest date and select Bulk as the harvest method. Commit and Create the harvest to generate records whose generations are F2 and F5 with germplasm state of

   Status
   title not_Fixed

   and

   Status
   title Fixed

   , respectively.

2. Harvest F2 and F3 generations using Single Plant Selection (SPS) method. F2 and F3 germplasm belonging to any type and whose state is

   Status
   title not_fixed

   can now be harvested using the SPS method. In the Harvest Data tab, provide the harvest date and number of plants. Commit and Create the harvest to generate records whose generations are F3 and F4, respectively, with germplasm state of

   Status
   title NOT_FIXED

   .

Harvesting restorer (R) lines for rice is now supported.

A Test Cross Verification (TCV) experiment aims to identify maintainers and restorers from a test cross nursery. In Generation Nursery (GN) experiments using the TCV stage, you can now harvest

Using a

Bug fixes

You can expect to encounter no errors when harvesting crosses, such that:

1. harvests with complete harvest data does not fail, and

2. resulting germplasm names are accurately generated.

Uploading of sparse testing randomization files generated outside EBS is now supported.

In EBS, sparse testing is a way of randomly allocating test entries to different occurrences. In this version, you can now upload sparse testing randomization files that were generated outside EBS, whose parameter sets use the Unspecified design and all other EBS-supported trial designs except IWIN and OFT, subject to validation rules.

Create a Breeding Trial experiment and add entries. In the Design tab, select Random in the Across Environment Design drop-down menu. After the page reloads, toggle () the Design Workflow switch to Upload. Click the Upload () button and browse for your randomization file. Pre-validate the file to show the summary information. In the same modal window, select any aforementioneddesign for the parameter set/s and then Validate.

Once successful, Confirm the upload of the randomization file. You are then redirected to the Design tab to wait for the upload to finish. The view icon () is enabled as soon as the file is successfully

Entries that were replaced are now correctly reflected in crosses.

When replacing the entries of a crossing experiment, the new germplasm is now correctly reflected in the relevant data columns for the cross. The changes made in EM are also applied to the Cross Manager (CM), Harvest Manager (HM), as well as in all downloadable files related to the crossing experiment.

View () your crossing experiment and go to the Entry tab. Select an entry and click the Edit button in the toolbar. Then, click Replace Occurrence Entry and choose the Replace with Germplasm option in the modal window. Here, you can search for the germplasm and select the new one you want to use in your experiment. The modal window also provides a summary of the changes to be made. Once satisfied, click Confirm to finalize the entry replacement.

The changes are observed in the data columns for cross name, as well as the female and male parent, parentage, and seed source in EM, CM, and HM. The update is also applied to any crosses that were already created prior to entry replacement.

Validation of uploaded occurrence data collection files is enabled.

Occurrence data collection files allow you to update occurrence and management variables, such as Ecosystem and Fertilizer Brand Applications. In this version, validation of the uploaded files are now enabled to ensure that only valid values for each variable are uploaded to EBS.

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 provide your file and Validate it. An error message is now shown if your file has invalid value/s. It also provides a guide on how to revise the data to the accepted values and format. Once the upload is successful, you can view () the data in the Basic tab.

Management of experiments is improved.

The following functionalities were enhanced. You can now:

1. View packages harvested. When viewing () an occurrence’s Basic tab, data on the Packages Harvested are now shown. This displays the total number of plots and crosses that can be harvested for an occurrence. This is also a clickable link that redirects you to the Harvest Manager tool, which readily displays the occurrence’s harvest information.

   

2. Export harvest and pollination instructions. Maize users can now include the harvest and pollination instructions, if available, when downloading Metadata and Plot Data files. Simply select an occurrence in the EM data browser and click the download () button from the toolbar. Choose Metadata and Plot Data to open the export page, where you can see the new data under the Occurrence data category.

   

3. Expect newly generated entry/plot codes to be reflected immediately. Changes to the entry and plot codes are now immediately applied to the Plot tab, without the need to refresh the tab. This improvement can be accessed a) via the Update Experiment and Occurrence () icon in the data browser or b) by selecting and occurrence and clicking the bulk update () button from the toolbar. Then, choose to either Generate Entry or Plot Code. This update also promises a faster performance when loading the Plot tab page.

   

Bug fixes

The bugs causing errors in the following features are resolved. You can now:

1. filter the experiments displayed using the Program dashboard data filter () in the menu bar,

2. download accurate metadata and plot data files, such that these are:

   1. not empty,

   2. do not have duplicated rows, and

   3. do not contain data of voided plots.

3. expect to download mapping files that contain updated germplasm records after entry replacement,

4. update management protocols,

5. delete an experiment and expect that all related data are also removed,

6. add occurrences by uploading designs in the Design tab, and

7. expect that the plot numbers of a newly added occurrence to a Breeding Trial experiment follows a sequential order.

Selection of formulas for trait calculation is enabled in the new Compute tab.

Trait data values are calculated based on the parameters defined in a formula. The new Compute tab lets you choose from an array of formulas applicable to your raw data. Take note that this tab is enabled only when there are trait values to be computed. To access this feature, upload your trait data collection file with numeric trait data.

The new

Open the QC page again () and move to the Review tab, where all traits, both computed and uploaded, are now visible in the Summary and Plot subtabs. You can then proceed to Complete the transaction, which commits the trait data to the occurrence.

RBAC is now supported.

This tool now implements role-based access control (RBAC), where users can only use tools and features that they have permission to access. These permissions are based on the roles assigned to the profiles in the Core System domain. Kindly contact your EBS admin for any additional access you may need.

Bug fixes

You can expect to encounter no errors when calculating the following traits:

1. grain yield in Wheat,

2. days to booting in Wheat, and

3. total plot gap area in Rice.

First harvest use case for Cowpea and Soybean is now supported.

As EBS prepares to support Cowpea (CWP) and Soybean (SYB) programs, the first harvest use case for both crops are enabled in HM. You can now harvest plots using the Bulk method and whose germplasm state is “fixed”.

Select an experiment occurrence to harvest from Experiment Manager or directly in HM. In the Plots subtab, provide the harvest date for a germplasm whose state is “fixed”. Then, select Bulk from the harvest method drop-down menu. Move to the Creation tab to Commit and Create the harvest records. Once harvest is successful, the resulting package records are displayed in the Management tab.

Germplasm attributes for non-selfing crosses are now generated after harvest.

For every non-selfing cross that is harvested, the following germplasm attributes are generated:

1. Germplasm Year. This pertains to the year in the crossing date.

2. MTA Status. This provides the conditions set for germplasm exchange to partners. Additionally, new harvests will have a default IP status of PUD2.

3. Origin. This refers to the country where a germplasm was developed and collected. The format is Institute/Center Acronym-Country. For example, IRRI-India.

After harvesting a non-selfing cross, you can view the germplasm attributes by clicking the hyperlinked germplasm name in HM’s Management tab. In the modal window, click the View More Information button and go to the Attributes tab. These new germplasm attributes are useful for shipment transactions and further analyses.

Existing cross combination for each program is now recognized.

Within a program, when harvesting a cross that used the same parentage with a previously harvested cross, no new germplasm is created. This only generates additional seed and package records, which are attached to the existing germplasm.

Selfing generations are now included in the downloaded Germplasm Relations file.

When you download the Germplasm Relations file, you can now expect to see the records of germplasm that were advanced using selfing. The Germplasm Relations file can be used for your Coefficient of Parentage (CoP) analysis. In the Germplasm data browser, search for your germplasm records and select those you want to export. Click the download icon () from the Search Results toolbar and choose Relations. A notification () will be provided once the file is ready to be downloaded. Click the notification message to download the file on your device. Previously, the exported Germplasm Relations file only included data from crosses.

NRep data are excluded when copying the entries of an experiment.

Entries can be assigned their respective total number of replicates (NReps). When you add entries to your experiment using the Copy Entry List option, the entries' NRep data is duly excluded.

Bug fixes

You can expect to encounter no errors when:

1. adding entries using the Copy Entry List option,

2. displaying the correct number of selected entries in the Entry List tab and in the Design tab during bulk update of Total Reps,

3. managing crosses in the Cross tab, and

4. using CIMMYT RCBD and CIMMYT Alpha-Lattice designs.

Exporting the QC codes of plot trait data is enabled.

Quality control (QC) codes are assigned in the Data Collection tool or during quality checking in the Breeding Analytics domain’s Phenotypic Data Manager. In this version, QC codes are now included in the exported metadata and plot data files for rice programs. Specifically, you can now:

1. Export QC codes. The following QC codes can now be exported side-by-side with the plot trait data values: good (G), questionable (Q), bad (B), missing (M), and suppressed (S). From the EM data browser, select occurrence/s with the status

   Status
   title TRAIT DATA COLLECTED

   and/or

   Status
   title TRAIT DATA QUALITY CHECKED

   . Click the download button () from the toolbar. Select Metadata and Plot Data from the drop-down menu. In the Trait data category, choose the traits whose data you want to download and click Export. A notification () will be provided once the file is ready to be downloaded. Click the notification message to save the file on your device.

2. Set plot trait data values to NA. You can now use “NA” to denote plot trait data values with QC codes of M, B, and S. This feature can be accessed when exporting metadata and plot data files. In the Data section, click the gear icon (⚙️). Turn the toggle on to Replace Trait Data with NA and click Export to begin the download.

Management of occurrences is enhanced.

This version implements the following improvements:

1. Experiment and occurrence names can now be updated after changing Stage, Year, or Season. When editing () an experiment’s stage, year, or season, a modal window pops up to confirm if you want the experiment name and occurrence name/s to be updated according to the changes.

   

2. Improved labels and descriptions in the Metadata and Plot data page. The page features improved instructions and renamed sections. Here, the Columns, Column Order, and Selected Columns were replaced by the labels Data, Data Categories, and Related Data, respectively.

   

3. Export more data. You can now include Germplasm Attributes, such as MTA Status and Germplasm Release Year, as well as the Field data in the Metadata and Plot Data files that you can download. Germplasm attributes will be available under the Germplasm data category, while Field is under the Occurrence data category. Additionally, you can include the occurrence name, occurrence code, occurrence number in your exported Occurrence Data Collection files.

   

Bug fixes

The bugs causing errors in the following functionalities are fixed. You can now:

1. open the View Occurrence page by clicking the icon and opening the page in a new tab,

2. be informed that at least one occurrence should be selected before downloading Data Collection Summary, Metadata and Plot Data, and Occurrence Data Collection files.

3. download metadata and plot data files according to the program configuration,

4. access EBS menu bar options,

5. navigate the pages when managing experiments with >100 occurrences,

6. view uploaded management data from occurrence data collection files, and

7. expect the year column filter to be properly limited by the year data filter in the EBS menu bar ().

Bulk update of harvest data is enhanced.

Updating harvest data in bulk for more than 2,500 plots or crosses is now delegated to the background. In the Harvest Data tab, select more than 2,500 records and then click the bulk update button (). A modal window pops up to show the total number of plots or crosses selected and the data updates to be done. When some records already have harvest data prior to the bulk update, the option to overwrite existing data is also provided via a modal window.

Proceed to update the harvest data in bulk. The

Bug fix

You can expect to encounter no errors when:

1. printing harvest labels for materials without cross-parent information, and

2. harvesting wheat plots whose seed names follow the user’s customized entry code, if applicable. Otherwise, the seed names follow the system default entry codes.