Genetic_Variability_Parameters_app() function opens an interactive and user friendly Shiny application that enables users to estimate genetic variability parameters for multi-trait experimental data based on the Randomized Block Design (RBD).
Genetic_Variability_Parameters_app()Opens a user-friendly interactive Shiny application for calculating genetic variability parameters from experimental data.
The uploaded Excel file should be formatted as follows:
First column: Replication
Second column: Genotypes
Subsequent columns: Trait values (e.g., DBH, PH, FW, SW, KW, OC)
Trait names should be concise. Example:
DBH : Diameter at Breast Height
PH : Plant Height
FW : Fruit Weight
SW : Seed Weight
KW : Kernel Weight
OC : Oil Content
Note: The uploaded file name should not contain spaces. For example, use Sample_Data.xlsx instead of Sample Data.xlsx.
An example Excel file is available for download using the Download Example Data button within the application.
The example dataset includes:
170 genotypes
3 replications for each genotype
6 traits: DBH, PH, FW, SW, KW, OC
The application is designed to calculate genetic variability parameters for datasets based on the Randomized Block Design (RBD).
Users can upload an Excel file (.xlsx or .xls) containing data for multiple traits. After uploading the file, users need to click the "Analyze" button.
The results are displayed in a tabular format including the following parameters for each trait:
Grand Mean
Phenotypic Variance
Genotypic Variance
Phenotypic Coefficient of Variation (%)
Genotypic Coefficient of Variation (%)
Broad-Sense Heritability (%)
Genetic Advance
Genetic Advance as Percentage of Mean (%)
Standard Error of Mean
The output table is downloadable in CSV format.
Singh, R. K., & Chaudhary, B. D. (1977). Biometrical Methods in Quantitative Genetic Analysis.
Johnson, Herbert W., H. F. Robinson, and R. E. Comstock. (1955). Estimates of genetic and environmental variability in soybeans. Agronomy Journal, 47(7), 314-318.
if(interactive()) Genetic_Variability_Parameters_app()
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