Developed by Dr. Abhijith K P
Scientist (Genetics and Plant Breeding), ICAR-IARI Assam
abhijithkpgen@gmail.com







Application Workflow Overview

PbAT: Plant Breeding Analytical Tools is an end-to-end pipeline for statistical and multivariate analysis of plant breeding data. Follow these steps:

  1. Upload Data: Upload your experimental data in CSV format. Include columns for genotype, location, replication, block (if applicable), and trait(s).
  2. Select Analysis Type: Choose Experimental Design Analysis, Multivariate Analysis, or Mating Design Analysis depending on your workflow.
  3. Map Data Columns: Assign the appropriate columns (genotype, location, replication, block, etc.) when prompted, to enable correct analysis.
  4. Run Analysis:
    • Experimental Designs: Generate summary statistics, ANOVA, heritability (H²), BLUEs/BLUPs (combined and location-wise), diagnostics, and post-hoc tests. Visualize results with boxplots, QQ plots, and interaction plots.
    • Multivariate Analysis: Perform PCA, GGE biplot , correlation, and path analysis on selected traits. Run analyses in standalone mode or linked to your EDA results.
    • Mating Design Analysis: Analyze Diallel (Griffing Methods I–IV, PartialDiallel Designs) and Line × Tester. Obtain GCA/SCA effects, ANOVA tables, and variance components.
  5. Review & Download Results: All results—interactive tables, plots, and summaries—can be downloaded as publication-ready PDF/CSV ZIP files for reporting or further analysis.

PbAT is designed for plant breeders and researchers to analyze data intuitively without needing knowledge in R. Sample datasets and detailed help are available in the Help & Guide tab.

Which Won Where

Mean vs Stability

Representativeness vs Discriminativeness

PCA Individual Biplot

Scree Plot

Variable Contributions

PCA Summary Table

ANOVA Table


Summary of Results


Classical ANOVA (Treatment, Rep, Residual)

Line GCA Effects

Tester GCA Effects

SCA Effects