Published July 9, 2024
| Version 0.1.0
Dataset
Open
Using machine learning to integrate genetic and environmental data to model genotype-by-environment interactions
Creators
Description
Files generated from the study described in Fernandes et. al (2024) .
The file "cvs_h2s.csv" comprises the coefficient of variation and the Cullis heritability for each environment.
The file "all_predictions.csv" contains the predictions from all the models evaluated, in different cross-validation (CV) scenarios.
The file "coincidence_index.csv" has the Coincidence Index (CI) for each CV and models evaluated in our study.
Our study used the multi-environment maize yield trials data from the Genomes to Fields 2022 initiative (Lima et. al 2024).
Files
all_predictions.csv
Additional details
Dates
- Submitted
-
2024-09-07
Software
- Repository URL
- https://github.com/igorkf/Maize_GxE_Prediction
- Programming language
- Python, R, Shell