The AGRISTATLAB’s Partially Replicated Design (p-Rep) Generator is a specialized tool for agricultural researchers and plant breeders to create optimized field trial layouts. This innovative solution allows you to efficiently design experiments where variable replications are used for checks and experimental entries, maximizing statistical power while minimizing field resources. You can read about Partially Replicated Design (pRep) and other experimental designs, and when to use which design in our recent blog on Understanding Experimental Designs. If you want to create trial in RCBD, CRD or Alpha Lattice design, please use our our Experimental Design Generator.

Key Features of partially replicated design

  • Flexible Replication Schemes
  • Create multiple entry groups with custom replication levels (variable replications)
  • Configure check varieties with higher replication
  • Adjust replication for different entry types (e.g., breeding lines vs varieties)
  • Multi-Location Trial Support
  • Design trials for multiple environments/locations simultaneously
  • Automatic unique randomization per location
  • Consolidated fieldbook output with location metadata
  • Intuitive Field Layout
  • Agricultural-standard coordinate system (1,1 = bottom-left corner)
  • Real-time field size validation with visual warnings
  • Empty plots automatically positioned (X) at grid end
  • Advanced Randomization
  • Seed-controlled randomization for reproducible designs
  • One-click re-randomization
  • Spatial balance across field rows and columns
  • Comprehensive Outputs
  • Visual field maps (first location only) with color-coded entries/checks
  • Download field layout as PNG image
  • Export complete fieldbook as CSV (compatible with R, SAS, etc.)
  • Plot-level coordinates for spatial analysis
  • User-Friendly Interface
  • Dynamic form with add/remove group functionality
  • Real-time validation and error prevention
  • Tabbed results interface for easy navigation
  • Responsive design for desktop and mobile use

Scientific Benefits

  • Statistical Efficiency: Optimized partial replication provides better variance estimation than un-replicated designs
  • Resource Optimization: Minimizes field space while maintaining statistical power
  • Spatial Control: Grid-based layout enables spatial analysis and blocking
  • Reproducibility: Seed-based randomization ensures repeatable designs (optional)
  • Standardization: Consistent format across locations and trials

Ideal For

  • Plant breeding trials
  • Genomic selection experiments
  • Early generation trials
  • Large populations testing

How It Works

  1. Configure trial parameters and entry/check groups (# of entries and # of replications required for each group)
  2. Validate field dimensions in real-time
  3. Generate randomized field layout
  4. Visualize and verify field arrangement, re-randomize option available
  5. Download ready-to-use fieldbook and layout maps

This tool streamlines the process of designing Partially Replicated Design (pRep), replacing manual randomization and spreadsheet planning with an automated, statistically-valid approach tailored for agricultural research. Your feedback is very important for us. Please drop your feedback here.

p-Rep Experimental Design Generator

Partially Replicated (p-Rep) Experimental Design Generator

Create field designs with custom replication for checks and entries.

1. Trial Information

2. Entry Groups

3. Check Varieties

4. Field Layout