Using machine learning to integrate genetic and environmental data to model genotype-by-environment interactions

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).