Breeding Analytics (BA) September 2025 Highlights

ARM-BIOFLOW Integration

Phenotypic Analytics (PA) updates collectively deliver a more stable, transparent, and efficient analysis experience across EBS and Bioflow.

✅ Reliable Data Conversion: Improved Bioflow-to-EBS data flow with automated RData-to-CSV conversion, secure S3 storage, and notification systems for completed analyses.

✅ Accurate Data Display: Fixed missing Trait, Entry Name, and Residual columns in ARM, ensuring users see complete analysis results from Bioflow.

✅ Improved Job Management: Ensure unique job outputs, correct statuses, and proper handling of BLUP/BLUE estimates.

✅ Consistent Environment Setup: Environment levels are now automatically formatted to prevent errors in Bioflow exports and analysis pipelines.

✅ Cleaner User Experience: Residual plots are hidden for Bioflow where not applicable, with clearer job action buttons and error messages for canceled or completed requests.

✅ Stronger Bioflow–EBS Integration: Verification and multi-trial compatibility improvements ensure more seamless and accurate single-trial analysis viewing in ARM.

Bioflow and EBS now sync results seamlessly
Improved environment level generation for Bioflow STA
BIOFLOW and EBS ensures environment levels start with a character to prevent MTA errors
Disable residual plots and graphs when the source app is Bioflow
Error messages are displayed when the status of a request is canceled

Disclaimer:
Samples shown in the image are for testing only. EBS never uses or shows real client data in any examples or images.

Analysis Request Manager (ARM)

Analysis Request Manager (ARM) updates enhance data visibility, ensure consistent analysis tracking, and strengthen integration between EBS and Bioflow.

✅ Improved Experiment Insights: Added computation and display of the Coefficient of Variation (CV) in SOA results, helping users easily assess experiment reliability and data quality.

✅ Enhanced Documentation: Updated the ARM Business Rule document for clearer guidance on analysis workflows, result tabs, and status handling.

✅ Seamless Bioflow Integration: Fixed issues with saving STA results from Bioflow to EBS, ensuring smooth data flow and accurate job creation.

Interoperability (IOP)

Interoperability (IOP) updates ensure a more connected and transparent workflow across EBS and Bioflow platforms.

✅ Improved Data Visibility: Experiments shared with the Analytics program are now visible in Bioflow via BrAPI, ensuring smooth data exchange.

✅ Enhanced System Integration: Strengthened EBS–Bioflow interoperability, allowing users to access and analyze shared experiments without missing data.

Statistical Design Models (SDM)

Statistical Design Models (SDM) improvements strengthen trial design accuracy, streamline file handling, and enhance overall reliability across EBS Breeding Analytics workflows.

✅ Stronger File Validation: Randomization file uploads now undergo strict entry matching, with clear error or warning messages for mismatched entries.

✅ Smarter Trial Setup: The local check field is now auto-filled based on design type, reducing manual input and setup errors.

✅ Clearer Layout Guidance: New warnings help users avoid invalid field row selections in partially replicated designs, improving layout accuracy.

✅ Reliable File Uploads: Fixed RCBD upload errors in MEE, ensuring smooth randomization uploads for breeding trials.

✅ Updated Design Framework: Database and documentation have been refreshed to align with the latest Breeding Analytics design standards.

Breeding Analytics Platform (BAP)

Breeding Analytics Platform (BAP) improvements enhance platform security, stability, and integration—delivering a more reliable and user-focused Breeding Analytics experience.

✅ Enhanced API Reliability: Comprehensive Postman tests now ensure all key API endpoints for QC code management and trait data handling perform correctly and consistently.

✅ Improved User Access Control: Route guards and “Access Denied” redirects now prevent unauthorized page access, ensuring secure and consistent navigation.

✅ Unified Authorization System: Migration from CB to CS provides a centralized, consistent Role-Based Access Control (RBAC) system across all Breeding Analytics tools.

✅ Tool-Specific Permission Management: RBAC permissions now apply to MDA, ARM, and PDM, ensuring users only see and access features relevant to their roles.

✅ Better System Monitoring: Health status endpoints for BA-UI and BA-API now display version details, improving transparency and maintenance tracking.

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⚠️Breeding Analytics Known Limitations

These are known tool limitations. Workarounds are available, and fixes are scheduled for upcoming releases to improve reliability and enhance the user experience.

ARM (Single-Occurrence)

  • Slow loading (~1 min) when selecting occurrences; performance depends on data size and network.
  • Some jobs remain stuck in “Processing.”
    Workaround: Run not more than 20 traits or jobs per analysis request. Fix in next sprint.

ARM (MOA)

  • “Void” jobs can still be included in MOA results.
  • MOA error may appear if weight values are blank or missing.

Molecular Data Analysis(MDA)

  • Datasets with approximately 500 samples by 300 markers may load slowly or fail to start due to no background processing.
    Planned: Background job handling and progress updates coming this year.
  • F1 Verification in MDA may show a 424 Failed Dependency error due to authorization key issues.

SDM-API

  • Missing “entry type” or “entry role” fields are not yet validated during upload.
    Fix: Field checks and defaults scheduled for next sprint.
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