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.