Breeding Analytics (BA) November 2025 Highlights
Phenotypic Analytics (PA)
Phenotypic Analytics (PA) updates restore reliable BLUP and BLUE report generation, ensuring consistent SOA outputs and accurate analysis results.
✅ BLUP / BLUE Reports Restored
SOA reports now generate correctly for mixed BLUP and BLUE analyses.
Indexing issues resolved for consistent report outputs.
Analysis Request Manager (ARM)
Analysis Request Manager (ARM) updates improve accuracy and reliability by aligning experiment and program filtering, stabilizing MOA processing, and ensuring smooth navigation and complete prediction outputs across workflows.
✅ Accurate Experiment & Program Filtering
Users now see only the correct experiments for their active program.
ARM and PDM filtering behavior is aligned.
✅ MOA Stability & Accuracy Improvements
Voided jobs removed from MOA dropdowns.
Creator logging is now accurate across programs.
MOA correctly processes Bioflow SOA results.
✅ Processing & Navigation Fixes
Analysis requests no longer get stuck in processing.
“Go to page” navigation in prediction tables works reliably.
Entry type is now included in predictions and SOA exports.
Molecular Data Analysis (MDA)
Molecular Data Analysis (MDA) updates enhance data accuracy and usability by delivering complete genotype metadata, reliable HapMap exports, correct filtering and display, and validated QTL profiling for confident analysis.
✅ Complete Heterozygosity & Call Rate Metadata
Full sample and marker metadata now displays correctly.
Filtering, downloads, and UI views align with backend calculations.
✅ HapMap Export Fully Enabled
Genotype data can now be exported in HapMap format via UI and API.
ZIP downloads include clean HapMap files and supporting metadata.
✅ Improved Genotype Filtering & Display
Excluded samples and markers no longer appear incorrectly.
Marker and sample counts now reflect accurate totals.
✅ QTL Profiling Fully Validated
Workflows are validated, stable, and ready for broader use.
Phenotypic Data Manager (PDM)
Phenotypic Data Manager (PDM) updates improve data quality control by applying QC codes consistently across traits and using clearer interface wording to prevent unintended bulk changes.
✅ Clearer QC Code Behavior
QC code updates now clearly apply to all trait data.
UI wording prevents accidental bulk changes.
Statistical Design Models (SDM)
Statistical Design Models (SDM) updates strengthen accuracy and consistency by improving design validation, aligning database rules across key trial designs, and ensuring reliable experiment generation—supporting smoother setup and more dependable trial outcomes.
✅ Stronger Design Validation
Clear warnings for invalid block sizes and missing checks/tests.
Invalid fieldrow options removed from PRep designs.
✅ Updated BA Database Rules
Design input rules for PRep, AugRCBD, RCBD, and Alpha Lattice are now accurate, documented, and consistent.
✅ Reliable Non-Sparse Experiment Generation
Non-sparse experiments now generate correctly across all designs.
Upload and setup workflows restored and verified.
⚠️ Note: Some limitations may be account-specific and are still under review.
Breeding Analytics Platform (BAP)
Breeding Analytics Platform (BAP) updates strengthen security by enforcing consistent role-based access and preventing unauthorized entry across analytics pages.
✅ Secure Role-Based Access
ARM and MDA pages now enforce permissions consistently.
Unauthorized access via direct URLs is fully blocked.
⚠️Breeding Analytics Known Limitations
BA Known Limitations – November Overview highlights a known Breeding Analytics limitation where large analysis requests may process slowly, with guidance to submit smaller requests for more reliable and timely results while performance enhancements continue.
- Analysis requests with more traits or jobs may load slowly or stay in Processing longer than expected.
- Recommendation: For best results, submit analysis requests with 20 or fewer traits or jobs. Larger analyses should be split into smaller requests until performance improvements are completed.