Genetic_Variability_Parameters_app: Genetic Variability Parameters

View source: R/Genetic_Variability_Parameters_app.R

Genetic_Variability_Parameters_appR Documentation

Genetic Variability Parameters

Description

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).

Usage

Genetic_Variability_Parameters_app()

Details

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.

Value

Opens a user-friendly interactive Shiny application for calculating genetic variability parameters from experimental data.

Data Format

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

References

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.

Examples


if(interactive()) Genetic_Variability_Parameters_app()

TBA documentation built on June 8, 2025, 1:07 p.m.