Phenotypic_Correlation_app {TBA} | R Documentation |
Phenotypic Correlation
Description
Phenotypic_Correlation_app()
function opens an interactive and user-friendly Shiny application that enables users to compute phenotypic correlation coefficients among multiple traits experimental data.
Usage
Phenotypic_Correlation_app()
Details
The application is designed to perform phenotypic correlation analysis across multiple traits using experimental data.
Users can upload an Excel file (.xlsx or .xls) containing observations for several genotypes and traits. After uploading the file, users need to click the "Analyze" button.
The output is presented as a matrix showing the phenotypic correlation coefficients between traits. A significance indication is provided along with an option to visualize the matrix as a heatmap plot.
The correlation table can be downloaded in CSV format, and the heatmap plot as an image in JPEG and PNG format.
Note: The analysis is based on the Randomized Block Design (RBD).
Value
Opens a user-friendly interactive Shiny application for performing phenotypic correlation analysis.
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.
Dewey, D. R., & Lu, K. H. (1959). A Correlation and Path-Coefficient Analysis of Components of Crested Wheatgrass Seed Production.Agronomy Journal, 51(9), 515-518.
Rajarajan, K., & K. Ganesamurthy(2014). Genetic diversity of sorghum [Sorghum bicolor (L.)] germplasm for drought tolerance. Range Management and Agroforestry, 35(2), 256-262.
Examples
if(interactive()) Phenotypic_Correlation_app()