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RAISINS-MULTITRAIT GENOTYPE-IDEOTYPE DISTANCE INDEX Module
Discover R A I S I N S (R & AI Solutions in INferential Statistics) - your ultimate tool for performing Multi-trait Genotype-Ideotype Distance Index (MGIDI) analysis with ease! Simply upload your dataset and identify superior genotypes by simultaneously evaluating multiple traits through an efficient and balanced selection approach. Measure the distance between each genotype and the ideal ideotype, rank genotypes based on overall performance, and explore strengths and weaknesses across different trait groups. Visualize genotype performance using interactive MGIDI plots, contribution charts, factor analysis displays, radar plots, and trait-based selection summaries. Examine selection differentials, factor loadings, genotype rankings, and the contribution of each trait to the MGIDI index with publication-ready outputs and intelligent interpretation. Transform complex multi-trait breeding data into clear, reliable, and actionable selection decisions with powerful visualization and smart analytics!
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MultiTrait Genotype-Ideotype Distance Index
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Developed by
Team RAISINS, STATOBERRY LLP
Author: Chief Statistician
© All rights reserved to STATOBERRY LLP
RANK / INDEX
CORRELATION
SELECTION DIFFERENTIAL PLOT
VARIANCE PLOT
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CSV data file creator
This is a user-friendly platform where you can generate CSV files in the required format for analysis which can be used to upload and perform analysis.
Enter the number of treatments, blocks, and response variables you want to work with in the sidebar panel. Upon submission, users can view a model format in the main panel, where you can input the responses by clicking in the cell.
Also, in the data frame generated automatically in the Data entry panel you can simply copy observations directly from Excel and paste using Ctrl+V.
After completion of data entry download the CSV file and upload in the analysis tab and complete your analysis.
This is designed to make data entry and manipulation more efficient and straightforward, which saves users time and effort. Try this now and experience a faster and more convenient way of handling your data!